[0001] The present disclosure relates generally to field of monitoring of monuments and sculptures. More particularly, the present disclosure provides a system and device for structural monitoring of sculptures to conserve the cultural heritage.

BACKGROUND
[0002] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Cultural heritage communicates important information about tradition and values of past generation. It includes paintings, monuments and sculptures. However, they are getting degraded due to logistics or due to changing environmental conditions. Causes of the changing environmental conditions can include pollution, acid rain and harmful constituents emitted in environment during occurrence of acid rain, pollution, and similar activities harming the environment. The harmful constituents can include Sulphur di oxide, nitrogen oxides, unburnt hydrocarbons, carbon monoxide, and the likes. These harmful constituents not only damages the environment but also diminishes structural life of the sculptures, degrading material composition and making the sculptures fade and structurally weak. Therefore, it is necessary to conserve the cultural heritage by monitoring them.
[0004] Though, many measures are taken to save the environment like tree plantation, using compressed natural gas (CNG) vehicles, and the likes. However, degradation in structural composition due to presence of harmful constituents in environment cannot be avoided and needs to be monitored. Some of existing solutions can help in monitoring of sculptures but requires multiple techniques. Also, some of the solutions are non-economical and monitor the sculptures in destructive way by either touching the sculpture or taking some sample of the sculpture for structural monitoring.
[0005] There is a need to overcome above mentioned problems stated in prior art by bringing solution which is cost effective for structural monitoring of sculptures and aid in conserving cultural heritage in non-destructive way with single technique.

OBJECTS OF THE PRESENT DISCLOSURE
[0006] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0007] It is an object of the present disclosure to provide a system that is compatible and portable and facilitates in providing structural information as well as material composition of sculptures.
[0008] It is an object of the present disclosure to provide a system that helps in conserving cultural heritage efficiently.
[0009] It is an object of the present disclosure to provide a system to detect distortions, change in material composition of the sculptures due to environmental factor or other factors.
[0010] It is an object of the present disclosure to provide a system that requires single technique for structural monitoring of the sculpture.
[0011] It is an object of the present disclosure to provide a system that is cost effective, and provide structural monitoring of the sculpture in non-destructive way.

SUMMARY
[0012] The present disclosure relates generally to field of monitoring of monuments and sculptures. More particularly, the present disclosure provides a system and device for structural monitoring of sculptures to conserve the cultural heritage.
[0013] An aspect of the present disclosure pertains to a health monitoring system for sculptures, said system may include a computing device configured with a modeling module, where the modeling module may be configured to design models of the one or more sculptures based on captured one or more images of the one or more sculptures. The system may include a network analyzer (NA) operatively coupled with the computing device and configured to analyze scattered parameters of the designed models, and correspondingly generate a first set of signals. The system may include a spectral device operatively coupled with the network analyzer and the computing device and configured to determine spectral components of the one or more sculptures and correspondingly generate a second set of signals, where the computing device may include a processing unit operatively coupled with the NA and the spectral device, and where the processing unit may include one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors and configured to extract a third set of signals and the fourth set of signals from the first set of signals and the second set of signals respectively, and where the third set of signals pertain to scattered parameters of the designed models and the fourth set of signals pertain to spectral components parameters of the one or more sculptures. The processing unit may be configured to compare the scattered parameters and spectral components parameters with a dataset, where the dataset may include a predetermined range. The processing unit may be configured to generate a set of set of alert signals when the compared scattered parameters and spectral components parameters are beyond the predetermined range.
[0014] In an aspect, the system may include an image acquisition unit configured to capture one or more images of the one or more sculptures, and where the image acquisition unit may include any or a combination of digital camera, closed circuit television (cctv) camera, 3D camera, and image scanner.
[0015] In an aspect, the modelling module may include any or a combination of computer aided design (CAD), solid works, bricscad, draft sight, and sketch up.
[0016] In an aspect, the system may include one or more antennas operatively coupled with the network analyzer and configured to test material parameters of the one or more sculptures based on the detected spectral components of the one or more sculptures by the spectral device ,where the one or more antennas may include dielectric lens patch antenna, and where the spectral device may include a spectrometer, and where the material parameters may include any or a combination of material properties, material constituents, and mixing ratio.
[0017] In an aspect, the system may be configured to communicatively couple with one or more mobile computing devices, and transmit the set of alert signals to the one or more mobile computing devices, and where the one or more computing devices may include any or a combination of cell phone, laptop, palmtop, I pad, and tablet.
[0018] In an aspect, the system may include a communicating unit operatively coupled with the processing unit, and configured to communicatively couple the one or more mobile computing devices with the processing unit, and where the communicating unit may include any or a combination of Wireless Fidelity (Wi-Fi), Bluetooth, and Li-Fi, optical fiber, Wireless Local Area Network (WLAN), and ZigBee.
[0019] An other aspect of the present disclosure pertains to a health monitoring device for sculptures, said device may include an image acquisition unit configured to capture images of one or more sculptures. The device may include a computing device operatively coupled with the image acquisition unit and configured with a modeling module, where the modeling module is configured to design models of the one or more sculptures based on the captured images. The device may include a network analyzer (NA) operatively coaxially coupled with the computing device and configured to analyze scattered parameters of the designed models, and correspondingly generate a first set of signals. The device may include a spectral device operatively coupled with the network analyzer and the computing device and configured to determine spectral components of the one or more sculptures and correspondingly generate a second set of signals and where the computing device may include a processing unit operatively coupled with the NA and the spectral device and where the processing unit may include one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors and configured to extract a third set of signals and the fourth set of signals from the first set of signals and the second set of signals respectively, and where the third set of signals pertain to scattered parameters of the designed models and the fourth set of signals pertain to spectral components parameters of the one or more sculptures. The processing unit may be configured to compare the scattered parameters and spectral components parameters with a dataset, where the dataset may include a predetermined range. The processing unit may be configured to generate a set of set of alert signals when the compared scattered parameters and spectral components parameters are beyond the predetermined range.
[0020] In an aspect, the image acquisition unit may include any or a combination of digital camera, closed circuit television (cctv) camera, 3D camera, and image scanner.
[0021] In an aspect, the spectral device may include a spectrometer.
[0022] In an aspect, the image acquisition unit, NA, computing device and the spectral device may be coaxially coupled and configured to perform coherently.

BRIEF DESCRIPTION OF THE DRAWINGS
[0023] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.
[0024] The diagrams are for illustration only, which thus is not a limitation of the present disclosure, and wherein:
[0025] FIG. 1 illustrates a block diagram of proposed system for structural monitoring of sculpture, in accordance with an embodiment of the present disclosure.
[0026] FIG. 2 illustrates exemplary functional components of the processing unit of the proposed system for structural monitoring of sculpture, in accordance with an embodiment of the present disclosure.
[0027] FIG. 3 illustrates an exemplary view of components of the proposed system for structural monitoring of sculpture, in accordance with an embodiment of the present disclosure.
[0028] FIG. 4 illustrates an exemplary view of components of device for structural monitoring of sculpture, in accordance with an embodiment of the present disclosure.
[0029] FIG. 5 illustrates an exemplary computer system in which or with which embodiments of the present invention can be utilized in accordance with embodiments of the present disclosure.

DETAIL DESCRIPTION
[0030] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details.
[0031] If the specification states a component or feature “may”, “can”, “could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0032] As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
[0033] Exemplary embodiments will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. These embodiments are provided so that this invention will be thorough and complete and will fully convey the scope of the invention to those of ordinary skill in the art. Moreover, all statements herein reciting embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future (i.e., any elements developed that perform the same function, regardless of structure).
[0034] While embodiments of the present invention have been illustrated and described, it will be clear that the invention is not limited to these embodiments only. Numerous modifications, changes, variations, substitutions, and equivalents will be apparent to those skilled in the art, without departing from the spirit and scope of the invention, as described in the claim.
[0035] The present disclosure relates generally to field of monitoring of monuments and sculptures. More particularly, the present disclosure provides a system and device for structural monitoring of sculptures to conserve the cultural heritage.
[0036] According to an aspect the present disclosure pertains to a health monitoring system for sculptures, said system can include a computing device configured with a modeling module, where the modeling module can be configured to design models of the one or more sculptures based on captured one or more images of the one or more sculptures. The system can include a network analyzer (NA) operatively coupled with the computing device and configured to analyze scattered parameters of the designed models, and correspondingly generate a first set of signals. The system can include a spectral device operatively coupled with the network analyzer and the computing device and configured to determine spectral components of the one or more sculptures and correspondingly generate a second set of signals, where the computing device can include a processing unit operatively coupled with the NA and the spectral device, and where the processing unit can include one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors and configured to extract a third set of signals and the fourth set of signals from the first set of signals and the second set of signals respectively, and where the third set of signals pertain to scattered parameters of the designed models and the fourth set of signals pertain to spectral components parameters of the one or more sculptures. The processing unit can be configured to compare the scattered parameters and spectral components parameters with a dataset, where the dataset can include a predetermined range. The processing unit can be configured to generate a set of set of alert signals when the compared scattered parameters and spectral components parameters are beyond the predetermined range.
[0037] In an embodiment, the system can include an image acquisition unit configured to capture one or more images of the one or more sculptures, and where the image acquisition unit can include any or a combination of digital camera, closed circuit television (cctv) camera, 3D camera, and image scanner.
[0038] In an embodiment, the modelling module can include any or a combination of computer aided design (CAD), solid works, bricscad, draft sight, and sketch up.
[0039] In an embodiment, the system can include one or more antennas operatively coupled with the network analyzer and configured to test material parameters of the one or more sculptures based on the detected spectral components of the one or more sculptures by the spectral device ,where the one or more antennas can include dielectric lens patch antenna, and where the spectral device can include a spectrometer, and where the material parameters can include any or a combination of material properties, material constituents, and mixing ratio.
[0040] In an embodiment, the system can be configured to communicatively couple with one or more mobile computing devices, and transmit the set of alert signals to the one or more mobile computing devices, and where the one or more computing devices can include any or a combination of cell phone, laptop, palmtop, I pad, and tablet.
[0041] In an embodiment, the system can include a communicating unit operatively coupled with the processing unit, and configured to communicatively couple the one or more mobile computing devices with the processing unit, and where the communicating unit can include any or a combination of Wireless Fidelity (Wi-Fi), Bluetooth, and Li-Fi, optical fiber, Wireless Local Area Network (WLAN), and ZigBee.
[0042] According to an other aspect the present disclosure pertains to a health monitoring device for sculptures, said device can include an image acquisition unit configured to capture images of one or more sculptures. The device can include a computing device operatively coupled with the image acquisition unit and configured with a modeling module, where the modeling module is configured to design models of the one or more sculptures based on the captured images. The device can include a network analyzer (NA) operatively coaxially coupled with the computing device and configured to analyze scattered parameters of the designed models, and correspondingly generate a first set of signals. The device can include a spectral device operatively coupled with the network analyzer and the computing device and configured to determine spectral components of the one or more sculptures and correspondingly generate a second set of signals and where the computing device can include a processing unit operatively coupled with the NA and the spectral device and where the processing unit can include one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors and configured to extract a third set of signals and the fourth set of signals from the first set of signals and the second set of signals respectively, and where the third set of signals pertain to scattered parameters of the designed models and the fourth set of signals pertain to spectral components parameters of the one or more sculptures. The processing unit can be configured to compare the scattered parameters and spectral components parameters with a dataset, where the dataset can include a predetermined range. The processing unit can be configured to generate a set of set of alert signals when the compared scattered parameters and spectral components parameters are beyond the predetermined range.
[0043] In an embodiment, the image acquisition unit can include any or a combination of digital camera, closed circuit television (cctv) camera, 3D camera, and image scanner.
[0044] In an embodiment, the spectral device can include a spectrometer.
[0045] In an embodiment, the image acquisition unit, NA, computing device and the spectral device can be coaxially coupled and configured to perform coherently.
[0046] FIG. 1 illustrates a block diagram of proposed system for structural monitoring of sculpture, in accordance with an embodiment of the present disclosure.
[0047] As illustrated in FIG. 1, the proposed system 100 (also referred to as system 100) can include a computing device 104, a network analyzer (NA) 106, an image acquisition unit 102, and a spectral device 108.The computing device 104 can be configured with a modeling module and a processing unit 104-1. The NA 106 and the spectral device 108 can be operatively coupled with the computing device 104. The system 100 can facilitate in monitoring health of one or more sculptures (also referred collectively as sculptures, and individually as sculpture, herein).
[0048] In an embodiment, the computing device 104 can be configured to receive one or more images of the sculptures (also referred collectively as images of sculptures and individually as image of sculpture, herein) with help of an image acquisition unit. In another embodiment, image acquisition unit 102 can be configured to capture the images of the sculptures. The modeling module can be configured to design models of the sculptures based on the captures images of the sculptures with help of the image acquisition unit 102. In an illustrative embodiment, the image acquisition unit 102 can include any or a combination of camera, three dimensional (3D) camera, closed circuit television (cctv) camera, image scanner, and the likes, where the image acquisition unit 102 can be configured to perform three dimensional scanning of the sculptures.
[0049] In an illustrative embodiment, the image acquisition unit 102 canbe a digital camera. The digital camera can include lens to focus light falling on the image and transmit the light to an image sensor, where the image sensor can be configured inside the camera. The image sensor can receive the light and convert the light into a set electrical signals. The image sensor can be a microchip with arrays of sensors, where the sensors can be configured to convert the light into set of electrical signals. The set of electrical signals can be transmitted to the processing unit 104-1. The digital camera image quality can depend on resolution of the camera. The image captured by the digital camera can be in binary form, and the processing unit 104-1 can be configured to receive the image in binary form.
[0050] In an illustrative embodiment, the image acquisition unit 102 can be a CCTV or surveillance camera. The CCTV camera can include lens, camera, video recorder, display unit (optional, such as monitor), cables, storage unit. The lens can be configured inside camera and configured to focus the light falling on the image. The CCTV camera can be analogue camera or digital camera. The analogue CCTV camera can be configured to capture the images, and correspondingly generate a set of continuous video signal. The video recorder such as Digital Video Recorder (DVR) camera can facilitate in digitizing the set of continuous video signal at the camera. The video recorder can also be Network video recorder (NVR). The CCTV camera can also facilitate in transmitting the images to the display unit such as monitor of the computing device through wireless transmission or through the cables. The storage unit can be hard disk configured to store video recordings of the images. The digitized set of continuous video signals can be transmitted to the processing unit 104-1 of the computing device 104.
[0051] In an illustrative embodiment, the images captured by the image acquisition unit 102 can be transmitted to the computing device 104 with help of cable like optical fiber cable, Ethernet, coaxial cable and the likes. The captured images of the sculptures can be transmitted to the computing device 104 wirelessly. In another illustrative embodiment, the modelling module can include any or a combination of computer aided design (CAD), solid works, bricscad, draft sight, sketch up, but not limited to the likes. The modelling module can be configured with the computing device 104, where the computing device 104 can include any or a combination of computer, laptop, and the likes.
[0052] In an illustrative embodiment, the modelling module can be configured with the processing unit 104-1 of the computing device 104. The modelling module can include a package of modelling unit, where the modelling unit can be configured with the processing unit along with a graphic card, where the graphic card can be configured to convert the images of the sculptures received from the image acquisition unit 102 into an image that is in machine readable form.
[0053] In an embodiment, the processing unit 104-1 can include one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors. The processing unit 104-1 can be configured to extract a third set of signals and the fourth set of signals from the first set of signals and the second set of signals respectively, and where the third set of signals can pertain to scattered parameters of the designed models and the fourth set of signals can pertain to spectral components parameters of the one or more sculptures. The processing unit 104-1 can be configured to compare the scattered parameters and spectral components parameters with a dataset, where the dataset can include a predetermined range. The processing unit can be configured to generate a set of set of alert signals when the compared scattered parameters and spectral components parameters are beyond the predetermined range.
[0054] In an illustrative embodiment, the processing unit can be configured to design models of the sculptures based on the captures images of the sculptures. The processing unit 104-1 can be configured with graphic user interface (GUI), where the GUI facilitates in receiving input from a user and displaying CAD geometry associated with the captured images as models of the sculptures. In another illustrative embodiment, the input can be received with help of input devices associated with the computing device 104, where the input devices can include any or a combination of mouse, key boards, tracker ball, digitizer, and the likes. In yet another illustrative embodiment, the input devices can be configured to transmit the input from the input devices to the GUI in form of electrical signals. the GUI can be configured to transmit the input in form of electrical signals to graphic kernel. The graphic kernel can be configured to generate models with help of geometric patterns and entities based on the captured images of the sculptures. The graphic kernel can be configured to transmit the geometric patterns and the entities to the graphic card, where the graphic card can be configured to display the models of the sculptures based on the captured images with help of the GUI. The models can be displayed onscreen of the computing device 104.
[0055] In an embodiment, the network analyzer (NA) 106 can be operatively coupled with the computing device 104 and configured to analyze scattered parameters of the designed models, and correspondingly generate a first set of signals. In an illustrative embodiment, the NA 106 can be configured to generate a first set of signals in electrical form. After the modelling module associated with the computing device 104 is configured to design models of the sculptures based on the captures images of the sculptures, the NA 106 can be configured to analyze the scattered or distorted parameters, where the scattered or distorted parameters can include reasons like fading of material, exposure to excess of harmful chemical constituents present in environment and surroundings like Sulphur di oxide, nitrogen di oxide, and the likes, degradation due to logistics, but not limited to the likes.
[0056] In an illustrative embodiment, the NA 106 can include a source configured to generate a first set of input signals in form of electrical signals. In another illustrative embodiment, the NA 106 can include a set of receivers configured to determine changes caused in the generated first set of input signals due to scattered parameters associated with the designed models of the sculptures. The set of receivers can be configured to compare the first set of input signals with the scattered parameters and correspondingly transmit the compared first set of input signals to the display of the computing device as first set of output signals.
[0057] In an embodiment, the spectral device 108 can be operatively coupled with the computing device 104 and configured to determine spectral components of the sculptures and correspondingly generate a second set of signals. In an illustrative embodiment, the spectral device 108 can be a spectrometer but not limited to the likes. The spectrometer can be configured to produce spectrum associated with the sculptures, disperse the spectrum and measure intensities of lines or wavelengths produced from the spectrum. Every sculpture has different spectrum. In another illustrative embodiment, the spectrometer can be configured to heat up completely and then loaded with a material (here, associated with the sculpture) whose spectral parameters are to be determined and the spectrometer can be calibrated at a wavelength similar to that of the material. After calibration, the spectrum can be determined to find the spectral component parameters of the material.
[0058] In an illustrative embodiment, the second set of signals generated by the spectrometer can be transmitted to the processing unit 104-1 associated with the computing device 104.
[0059] In an illustrative embodiment, the device can include an image acquisition unit 102, a network analyzer (NA)106, and a spectral device 108, a computing device 104, and a processing unit 104-1 associated with the computing device 104. The computing device 104 can be coupled with the NA 106, and spectral device 108 with help of coaxial cable but not limited to the likes. The computing device 104 can include a processing unit 104-1 and a modelling module, where the processing unit 104-1 can be operatively coupled with the NA 106 and the spectral device 108. The modelling module can be configured to configured to design models of the sculptures based on captured images of the sculptures The network analyzer (NA) 106 operatively coupled with the computing device 104 and configured to analyze scattered parameters of the designed models, and correspondingly generate a first set of signals. The spectral device 108 can be operatively coupled with the network analyzer NA 106 and the computing device 104 and configured to determine spectral components of the one or more sculptures and correspondingly generate a second set of signals.
[0060] In an illustrative embodiment, the processing unit 104-1 can be configured to receive the first set of signals and the second set of signals and generate a set of alert signals based on the received first set of signals and the second set of signals. The generated set of alert signals can be transmitted to one or more mobile computing device associated with a subject, where the subject can be concerned person, human for sculpture.
[0061] In an illustrative embodiment, the device can include an image acquisition unit 102, NA 106, and the spectral device 108 can be coaxially coupled and configured to perform coherently.
[0062] FIG. 2 illustrates exemplary functional components of the processing unit of the proposed system for structural monitoring of sculpture, in accordance with an embodiment of the present disclosure.
[0063] As illustrated in an embodiment, the processing unit 104-1 can include one or more processor(s) 202. The one or more processor(s) 202 can be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that manipulate data based on operational instructions. Among other capabilities, the one or more processor(s) 202 are configured to fetch and execute computer-readable instructions stored in a memory 204 of the processing unit 104-1. The memory 204 can store one or more computer-readable instructions or routines, which may be fetched and executed to create or share the data units over a network service. The memory 204 can include any non-transitory storage device including, for example, volatile memory such as RAM, or non-volatile memory such as EPROM, flash memory, and the like.
[0064] In an embodiment, the processing unit 104-1 can also include an interface(s) 206. The interface(s) 206 may include a variety of interfaces, for example, interfaces for data input and output devices, referred to as I/O devices, storage devices, and the like. The interface(s) 206 may facilitate communication of the processing unit 104-1 with various devices coupled to the processing unit 104-1. The interface(s) 206 may also provide a communication pathway for one or more components of processing unit 104-1. Examples of such components include, but are not limited to, processing engine(s) 208 and data 210.
[0065] In an embodiment, the processing engine(s) 208 can be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine(s) 208. In examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing engine(s) 208 may be processor executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) 208 may include a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the processing engine(s) 208. In such examples, the processing unit 104-1 can include the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to processing unit 104-1 and the processing resource. In other examples, the processing engine(s) 208 may be implemented by electronic circuitry. A database 210 can include data that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) 208.
[0066] In an embodiment, the processing engine(s) 208 can include a modelling unit 212, an extraction unit 214, a comparison unit 216, a signal generation unit 218, and other unit (s) 220. The other unit(s) 220 can implement functionalities that supplement applications or functions performed by the system 100 or the processing engine(s) 208.
[0067] The database 210 can include data that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) 208.
[0068] It would be appreciated that units being described are only exemplary units and any other unit or sub-unit may be included as part of the system 100. These units too may be merged or divided into super- units or sub-units as may be configured.
[0069] As illustrated in FIG. 2, the processing unit 104-1 can be configured to design models of sculptures based on captured images of the sculptures with help of the modelling unit 212. The processing unit 104-1 can be configured to extract a third set of signals and the fourth set of signals from the first set of signals and the second set of signals respectively, and where the third set of signals can pertain to scattered parameters of the designed models and the fourth set of signals can pertain to spectral components parameters of the sculptures with help of the extraction unit 214. The processing unit 104-1 can be configured to compare the scattered parameters and spectral components parameters with a dataset, where the dataset can include a predetermined range with help of the comparison unit 216. The processing unit 104-1 can be configured to generate a set of set of alert signals when the compared scattered parameters and spectral components parameters are beyond the predetermined range with help of the signal generation unit 218.
[0070] In an illustrative embodiment, the modelling unit 212 can be configured to design the models with help of a graphic kernel. The graphic kernel can be configured to receive input in form of machine readable form from a graphic user interface (GUI), where the GUI can be configured with the modelling unit 212. In another illustrative embodiment, the graphic kernel can be configured to design model of the sculptures based on the received input and the captured images of the sculptures.
[0071] In an illustrative embodiment, the extraction unit 214 can be configured to receive the first set of signals and the second set of signals from a network analyzer (NA) 106 and a spectral device 108 respectively in form of electrical signals. The extraction unit 214 can be configured to extract the third set of signals from the first set of signals and the fourth set of signals from the second set of signals respectively in machine readable form or binary form. In another illustrative embodiment, the extraction unit 214 can transmit the extracted third set of signals and the extracted fourth set of signals in machine readable form to the comparison unit 216.
[0072] In an illustrative embodiment, the extraction unit 214 can be configured to extract the scattered parameters of the designed models from the first set of signals, where the first set of signals can be generated by the NA 106. The extraction unit 214 can be configured to extract the spectral components parameters associated with the sculptures from the second set of signals, where the second set of signals can be generated by the spectral device 108. In another illustrative embodiment, the scattered parameters of the designed models can include distorted material composition caused due to environmental issues like pollution, acid rain, but not limited to the likes. In yet another illustrative embodiment, the spectral component parameters of the sculptures can include spectral wavelength of the material composition associated with the sculptures.
[0073] In an illustrative embodiment, the comparison unit 216 can be configured to receive the extracted scattered parameters of the designed models, and the spectral component parameters of the sculptures from the extraction unit 214 in machine readable form. The comparison unit 216 can facilitate in comparing the extracted scattered parameters with a first data set, where the first data set can pertain to predefined limit ranges. The comparison unit 214 can receive the extracted scattered parameters from the extraction unit 212, and can compare with the first dataset stored in database 210. The predefined limit ranges can include threshold values pertaining to the scattered parameters associated with the designed models of the sculptures. The comparison unit 216 can compare the extracted scattered parameters, and can facilitate in finding whether the extracted scattered parameters has reached the predefined limit ranges. In another illustrative embodiment, the threshold values can include limit range of constituents like Sulphur di oxide, nitrogen di oxide, carbon monoxide, unburnt hydrocarbon and the likes.
[0074] In an illustrative embodiment, the comparison unit 216 can facilitate in comparing the extracted spectral component parameters with a second data set, where the second data set can pertain to predefined limit ranges. The comparison unit 216 can receive the extracted spectral component parameters from the extraction unit 212, and can compare with the second dataset stored in database 210. The predefined limit ranges can include threshold values pertaining to the spectral component parameters associated with the sculptures. The comparison unit 216 can compare the extracted spectral component parameters, and can facilitate in finding whether the extracted spectral component parameters has reached the predefined limit ranges. In another illustrative embodiment, the threshold values pertaining to the spectral component parameters can include predefined limit ranges of spectral wavelength of material associated with the sculptures.
[0075] In an illustrative embodiment, the comparison unit 216 can receive the extracted scattered parameters and the spectral component parameters in machine readable form. The comparison unit 216 can facilitate in comparing the received extracted scattered parameters, and spectral components parameters in machine readable form with help of a comparator. The comparator can enable comparing the extracted scattered parameters, and the spectral components parameters with the predefined limit ranges. The comparator can include an analogue comparator or a digital comparator. The digital comparators can compare the extracted scattered parameters, spectral component parameters with the predefined limit ranges. The digital comparators can facilitate comparison with help of logic gates such as AND, NOT or NOR gates. The digital comparator can be configured to accept the extracted scattered parameters, spectral component parameters, in the machine readable form. Further three conditions can be applicable for the comparison of the extracted scattered parameters and the spectral component parameters with the predefined limit ranges.
[0076] In an illustrative embodiment, the three conditions associated with the digital comparator can include a first condition, which can prevail when the extracted scattered parameters, spectral component parameters are found equal to the predefined limit ranges, a second condition can prevail when the extracted scattered parameters and spectral component parameters are found beyond the predefined limit ranges, and the third condition can prevail when the extracted scattered parameters and spectral component parameters are found less than the predefined limit ranges. The digital comparator can compare and transmit the compared scattered parameters and spectral component parameters to the signal generation unit 218.
[0077] In an embodiment, the signal generation unit 218 can be configured to receive the compared scattered parameters, and spectral component parameters, in machine readable form. The signal generation unit 218 can be configured to generate a set of alert signals when at least one of the compared scattered parameters and the spectral component parameters are found beyond the predefined limit ranges. In an illustrative embodiment, the signal generation unit 218 can be configured to generate the set of alert signals, when the compared scattered parameters are found beyond the threshold value, where the threshold value can include the limit range of constituents like Sulphur di oxide, nitrogen oxides, carbon monoxide, unburnt hydrocarbon, but not limited to the likes. When the scattered parameter associated with the designed models of the sculptures is found beyond threshold values of the constituents by the comparison unit 216 the signal generation unit 218 can be configured to generate the set of alert signals and transmit the set of alert signals to one or more mobile computing devices.
[0078] In an illustrative embodiment, the signal generation unit 218 can be configured to generate the set of alert signals, when the compared spectral component parameters are found beyond the threshold value, where the threshold value can include the limit range of spectral wavelength of the material associated with the sculptures. When the scattered parameter associated with the designed models and the spectral component parameters associated with the sculptures are found threshold values by the comparison unit 216, the signal generation unit 218 can be configured to generate the set of alert signals and transmit the set of alert signals to the one or more mobile computing devices.
[0079] FIG. 3 illustrates an exemplary view of components of the proposed system for structural monitoring of sculpture, in accordance with an embodiment of the present disclosure.
[0080] As illustrated in FIG. 3, the system 100 can include a computing device 104, a network analyzer NA 106, a printer 302, coaxial cable 304, antenna like dielectric lens patch but not limited to the likes 306, sculpture material under test 308. The NA 106 can be coupled with the antenna 306 with help of a coaxial cable 304.In an illustrative embodiment, the computing device 104 can be configured to receive images of the sculptures with help of an image acquisition unit, where the computing device 102 can be configured with a modelling module. The modelling module can facilitate in designing models of the sculptures based on the received captured images. In another illustrative embodiment, the computing device 104 can be operatively coupled with the NA 106, where the NA 106 operatively and configured to analyze scattered parameters of the designed models, and correspondingly generate a first set of signals.
[0081] In an illustrative embodiment, the dielectric lens patch antenna 304 can be configured to form incoming wave front associated with the sculpture material under test 308 material at focus of the antenna 304. In another illustrative embodiment, a spectral device 108 can be operatively coupled with the network analyzer 106 and the computing device 104 and configured to determine spectral components of the sculpture material under test 308 and correspondingly generate a second set of signals. In yet another illustrative embodiment, the computing device 104 can include a processing unit 104-1, where the processing unit 104-1 can facilitate in alerting a subject based on a set of alert signals generated by the processing unit 104-1. The set of alert signals can be transmitted to one or more mobile computing device of the subject, where the set of alert signals aids in alerting the subject for bad condition of sculpture like material composition, structural health of the sculpture, and the likes.
[0082] FIG. 4 illustrates an exemplary view of components of device for structural monitoring of sculpture, in accordance with an embodiment of the present disclosure.
[0083] As illustrated in FIG. 4, the device 400 can include an antenna 306, waveguide 402, casing 404, and an image acquisition unit 102. In an illustrative embodiment, the image acquisition unit 102 can be configured to capture images of sculptures. The antenna 306 can be coupled with the waveguide 402, where the waveguide can be electromagnetic feed lines with rectangular or cylindrical metal tube or pipe, and configured to transmit electromagnetic field length wise. In another illustrative embodiment, the casing 404 can facilitate in protecting the device 400.
[0084] FIG. 5 illustrates an exemplary computer system in which or with which embodiments of the present invention can be utilized in accordance with embodiments of the present disclosure.
[0085] As shown in FIG. 5, computer system 500 includes an external storage device 520, a bus 530, a main memory 540, a read only memory 550, a mass storage device 560, communication port 570, and a processor 580. A person skilled in the art will appreciate that computer system may include more than one processor and communication ports. Examples of processor 580 include, but are not limited to, an Intel® Itanium® or Itanium 2 processor(s), or AMD® Opteron® or Athlon MP® processor(s), Motorola® lines of processors, FortiSOC™ system on a chip processors or other future processors. Processor 580 may include various modules associated with embodiments of the present invention. Communication port 570 can be any of an RS-232 port for use with a modem based dialup connection, a 10/100 Ethernet port, a Gigabit or 10 Gigabit port using copper or fiber, a serial port, a parallel port, or other existing or future ports. Communication port 370 may be chosen depending on a network, such a Local Area Network (LAN), Wide Area Network (WAN), or any network to which computer system connects.
[0086] In an embodiment, the memory 540 can be Random Access Memory (RAM), or any other dynamic storage device commonly known in the art. Read only memory 550 can be any static storage device(s) e.g., but not limited to, a Programmable Read Only Memory (PROM) chips for storing static information e.g., start-up or BIOS instructions for processor 580. Mass storage 560 may be any current or future mass storage solution, which can be used to store information and/or instructions. Exemplary mass storage solutions include, but are not limited to, Parallel Advanced Technology Attachment (PATA) or Serial Advanced Technology Attachment (SATA) hard disk drives or solid-state drives (internal or external, e.g., having Universal Serial Bus (USB) and/or Firewire interfaces), e.g. those available from Seagate (e.g., the Seagate Barracuda 7102 family) or Hitachi (e.g., the Hitachi Deskstar 7K1000), one or more optical discs, Redundant Array of Independent Disks (RAID) storage, e.g. an array of disks (e.g., SATA arrays), available from various vendors including Dot Hill Systems Corp., LaCie, Nexsan Technologies, Inc. and Enhance Technology, Inc.
[0087] In an embodiment, the bus 530 communicatively couples processor(s) 580 with the other memory, storage and communication blocks. Bus 330 can be, e.g. a Peripheral Component Interconnect (PCI) / PCI Extended (PCI-X) bus, Small Computer System Interface (SCSI), USB or the like, for connecting expansion cards, drives and other subsystems as well as other buses, such a front side bus (FSB), which connects processor 580 to software system.
[0088] In another embodiment, operator and administrative interfaces, e.g. a display, keyboard, and a cursor control device, may also be coupled to bus 530 to support direct operator interaction with computer system. Other operator and administrative interfaces can be provided through network connections connected through communication port 570. External storage device 520 can be any kind of external hard-drives, floppy drives, IOMEGA® Zip Drives, Compact Disc - Read Only Memory (CD-ROM), Compact Disc - Re-Writable (CD-RW), Digital Video Disk - Read Only Memory (DVD-ROM). Components described above are meant only to exemplify various possibilities. In no way should the aforementioned exemplary computer system limit the scope of the present disclosure.
[0089] While embodiments of the present invention have been illustrated and described, it will be clear that the invention is not limited to these embodiments only. Numerous modifications, changes, variations, substitutions, and equivalents will be apparent to those skilled in the art, without departing from the spirit and scope of the invention, as described in the claim.
[0090] In the foregoing description, numerous details are set forth. It will be apparent, however, to one of ordinary skill in the art having the benefit of this disclosure, that the present invention may be practiced without these specific details. In some instances, well-known structures and devices are shown in block diagram form, rather than in detail, to avoid obscuring the present invention.
[0091] As used herein, and unless the context dictates otherwise, the term "coupled to" is intended to include both direct coupling (in which two elements that are coupled to each other contact each other) and indirect coupling (in which at least one additional element is located between the two elements). Therefore, the terms "coupled to" and "coupled with" are used synonymously. Within the context of this document terms "coupled to" and "coupled with" are also used euphemistically to mean “communicatively coupled with” over a network, where two or more devices are able to exchange data with each other over the network, possibly via one or more intermediary device.
[0092] It should be apparent to those skilled in the art that many more modifications besides those already described are possible without departing from the inventive concepts herein. The inventive subject matter, therefore, is not to be restricted except in the spirit of the appended claims. Moreover, in interpreting both the specification and the claims, all terms should be interpreted in the broadest possible manner consistent with the context. In particular, the terms “comprises” and “comprising” should be interpreted as referring to elements, components, or steps in a non-exclusive manner, indicating that the referenced elements, components, or steps may be present, or utilized, or combined with other elements, ` components, or steps that are not expressly referenced.
[0093] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.

ADVANTAGES OF THE PRESENT DISCLOSURE
[0094] The present disclosure provides a system that is compatible and portable and facilitates in providing structural information as well as material composition of sculptures.
[0095] The present disclosure provides a system that helps in conserving cultural heritage efficiently.
[0096] The present disclosure provides a system to detect distortions, change in material composition of the sculptures due to environmental factor or other factors.
[0097] The present disclosure provides a system that requires single technique for structural monitoring of the sculpture.
[0098] The present disclosure provides a system that is cost effective, and provide structural monitoring of the sculpture in non-destructive way.

Claims:1. A structural monitoring system for sculptures, said system comprising:
a computing device configured with a modeling module, wherein the modeling module is configured to design models of the one or more sculptures based on captured one or more images of the one or more sculptures;
a network analyzer (NA) operatively coupled with the computing device and configured to analyze scattered parameters of the designed models, and correspondingly generate a first set of signals; and
a spectral device operatively coupled with the network analyzer and the computing device and configured to determine spectral components of the one or more sculptures and correspondingly generate a second set of signals,
and wherein the computing device comprises:
a processing unit operatively coupled with the NA and the spectral device and wherein the processing unit comprises of one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors and configured to:
extract a third set of signals and the fourth set of signals from the first set of signals and the second set of signals respectively, and wherein the third set of signals pertain to scattered parameters of the designed models and the fourth set of signals pertain to spectral components parameters of the one or more sculptures;
compare the scattered parameters and spectral components parameters with a dataset, wherein the dataset comprises of a predetermined range;
generate a set of set of alert signals when the compared scattered parameters and spectral components parameters are beyond the predetermined range.
2. The system as claimed in claim 1, wherein the system comprises of an image acquisition unit configured to capture one or more images of the one or more sculptures, and wherein the image acquisition unit comprises any or a combination of digital camera, closed circuit television (cctv) camera, 3D camera, and image scanner.
3. The system as claimed in claim 1, wherein the modelling module comprises any or a combination of computer aided design (CAD), solid works, bricscad, draft sight, and sketch up.
4. The system as claimed in claim 1, wherein the system comprises of one or more antennas operatively coupled with the network analyzer and configured to test material parameters of the one or more sculptures based on the detected spectral components of the one or more sculptures by the spectral device ,wherein the one or more antennas comprises dielectric lens patch antenna, and wherein the spectral device comprises of a spectrometer, and wherein the material parameters comprises any or a combination of material properties, material constituents, and mixing ratio.
5. The system as claimed in claim 1, wherein the system is configured to communicatively couple with one or more mobile computing devices, and transmit the set of alert signals to the one or more mobile computing devices, and wherein the one or more computing devices comprise any or a combination of cell phone, laptop, palmtop, I pad, and tablet.
6. The system as claimed in claim 7, wherein the system comprises of a communicating unit operatively coupled with the processing unit, and configured to communicatively couple the one or more mobile computing devices with the processing unit, and wherein the communicating unit comprises any or a combination of Wireless Fidelity (Wi-Fi), Bluetooth, and Li-Fi, optical fiber, Wireless Local Area Network (WLAN), and ZigBee.
7. A health monitoring device for sculptures, said device comprising:
an image acquisition unit configured to capture images of one or more sculptures;
a computing device operatively coupled with the image acquisition unit and configured with a modeling module, wherein the modeling module is configured to design models of the one or more sculptures based on the captured images;
a network analyzer (NA) operatively coaxially coupled with the computing device and configured to analyze scattered parameters of the designed models, and correspondingly generate a first set of signals; and
a spectral device operatively coupled with the network analyzer and the computing device and configured to determine spectral components of the one or more sculptures and correspondingly generate a second set of signals,
and wherein the computing device comprises:
a processing unit operatively coupled with the NA and the spectral device and wherein the processing unit comprises of one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors and configured to:
extract a third set of signals and the fourth set of signals from the first set of signals and the second set of signals respectively, and wherein the third set of signals pertain to scattered parameters of the designed models and the fourth set of signals pertain to spectral components parameters of the one or more sculptures;
compare the scattered parameters and spectral components parameters with a dataset, wherein the dataset comprises of a predetermined range;
generate a set of set of alert signals when the compared scattered parameters and spectral components parameters are beyond the predetermined range.
8. The device as claimed in claim 7, wherein the image acquisition unit comprises any or a combination of digital camera, cctv camera, 3D camera, and image scanner.
9. The device as claimed in claim 8, wherein the spectral device comprises of a spectrometer.
10. The device as claimed in claim 7, wherein the image acquisition unit, NA, the computing device, and the spectral device is coaxially coupled and configured to perform coherently.