TECHNICAL FIELD
[0001] The present disclosure relates to the field of natural calamity prediction. In particular, the present disclosure provides natural calamity prediction system using satellite based sensing, the prediction facilitating assessment of insurance policies offered against damages due to the natural calamities.

BACKGROUND
[0002] Background description includes information that may be useful in understanding the present disclosure. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed disclosure, or that any publication specifically or implicitly referenced is prior art.
[0003] There are many natural disasters that have changed time and frequency of occurrence over years due to change in climate and other environmental factors that have been triggered by manmade causes. Risks involved with these natural disasters and consumer trends in seeking insurance coverage against these natural calamities are not appropriately mapped in the claim regulation models of the insurances. Therefore it would be beneficial to devise a system for automatic and intelligent prediction of natural calamities for assessment of insurance policies, the predictions being computed from satellite-based information about regions of interest.
[0004] Existing literature describes a remote property inspection system using video surveillance for settling insurance claims. Another literature proposes an apparatus and method for data management and analytics pertaining to insurance claims due to environmental causes. A prior-art describes risk and liability assessment of insurance policies by analyzing information received from sensors and using the information for modeling future events. These existing literatures do not use satellite based information collection system and prediction of natural calamities. An agricultural loan insurance method and system has been proposed by another literature for monitoring agricultural lands and predicting disasters. Although this method uses satellite imagery and GPs data but, it does not involve categorization, prediction and alarm generation pertaining to different types of natural disasters depending on the geographical location, climate, environmental factors, time of the year and other factors. Therefore there is need in the art to develop a system that can obtain information pertaining to one or more regions, the system being enabled to automatically determine probability of occurrence, time, frequency of occurrence of one or more natural calamities and correspondingly assess the insurance policies and customer trends based on the predictions.
[0005] The proposed system is configured to obtain one or more attributes pertaining to weather and environmental conditions of one or more predetermined regions using satellites. The one or more attributes can be analyzed and natural calamities can be predicted automatically by a processing unit. Correspondingly insurance policies can be evaluated, renewed, terminated, updated and new policies can be introduced, such that risks involved can be minimized and/or adequately compensated.

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 satellite based natural calamity prediction system that facilitates assessment of insurance policies offered against damages caused by the natural calamities.
[0008] It is an object of the present disclosure to provide a satellite based natural calamity prediction system that enables one or more sensors communicatively coupled to a satellite to detect one or more attributes pertaining to changes in weather and environment of one or more regions.
[0009] It is an object of the present disclosure to provide a satellite based natural calamity prediction system that enables the one or more sensors to generate a set of input signals based on the detected one or more attributes.
[0010] It is an object of the present disclosure to provide a satellite based natural calamity prediction system that enables a display unit to receive a set of output signals and generate a set of notifications for real-time monitoring.
[0011] It is an object of the present disclosure to provide a satellite based natural calamity prediction system that enables a server to receive the set of output signals and store the set of output signals for future use and secured access by authorized user.
[0012] It is an object of the present disclosure to provide a satellite based natural calamity prediction system that enables a processing unit to receive the set of input signals, analyze the set of attributes and generate predictions of natural calamities based on the analysis.
[0013] It is an object of the present disclosure to provide a satellite based natural calamity prediction system that enables the processing unit to generate and transmit the set of output signals to the display unit and the server.
[0014] It is an object of the present disclosure to provide a satellite based natural calamity prediction system that enables a network to communicative couple the one or more sensors, the display unit, the server and the processing unit.

SUMMARY
[0015] The present disclosure relates to the field of natural calamity prediction. In particular, the present disclosure provides natural calamity prediction system using satellite based sensing, the prediction facilitating assessment of insurance policies offered against damages due to the natural calamities.
[0016] An aspect of the present disclosure is to provide a satellite based natural calamity prediction system (100) that may include functional blocks pertaining to one or more sensors (102) coupled to the satellite, a display unit (104), a processing unit (108), a server (110) and a network (106) configured to communicatively couple the functional blocks.
[0017] In an aspect the one or more sensors (102) may be communicatively coupled to a satellite.
[0018] In an aspect the one or more sensors (102) may be enabled to detect one or more attributes pertaining to changes in weather and environment of one or more regions.
[0019] In an aspect the one or more sensors (102) may be configured to generate a set of input signals based on the detected one or more attributes.
[0020] In an aspect the one or more attributes may pertain to any or a combination of sensing using internet of things, distributed sensing, integrated sensing and communication, and satellite based remote sensing, the set of input signals being configured to be transmitted to a communication satellite or collected by a remote sensing satellite.
[0021] In an aspect the display unit (104) may be enabled to receive a set of output signals and correspondingly generate a set of notifications for real-time monitoring.
[0022] In an aspect the set of notifications may pertain to the detected one or more attributes, analysis of the one or more attributes, prediction of natural calamities in the one or more regions based on the analysis, and assessment, introduction, withdrawal, renewal and amendment of the insurance policies.
[0023] In an aspect the server (110) may be configured to receive the set of output signals and store the set of output signals for future use, the stored information being configured to be retrieved securely by an authorized user.
[0024] In an aspect the processing unit (108) may be configured to receive the set of input signals, analyze the one or more attributes and generate predictions of natural calamities based on the analysis.
[0025] In an aspect the processing unit (108) may be enabled to generate the set of output signals and transmit the set of output signals to the display unit (104) and the server (110).
[0026] In an aspect the processing unit (108) may be enabled to perform a set of actions pertaining to assessment of existing insurance schemes, public demands, current trends, probability of losses to be incurred on event of occurrence of predicted natural calamities, benefits and disadvantages of introducing new insurance policies, withdrawal, renewal and amendment of the existing insurance policies, and upgradation of customer base and outreach.
[0027] In an aspect the network (106) may be configured to communicative couple the one or more sensors (102), the display unit (104), the server (110) and the processing unit (108).
[0028] In an aspect the network (106) may be configured to transmit the set of input signals and the set of output signals, the transmission of information being any or a combination of unidirectional and bidirectional in nature.

BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS
[0029] 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.
[0030] The diagrams described herein are for illustration only, which thus are not limitations of the present disclosure, and wherein:
[0031] FIG. 1 illustrates exemplary network architecture of the proposed satellite-based natural calamity prediction system (100) facilitating assessment of insurance policies, to elaborate upon its working in accordance with an embodiment of the present disclosure.
[0032] FIG. 2 illustrates exemplary functional blocks (200) of the processing unit (108) of the proposed satellite-based natural calamity prediction system (100) facilitating assessment of insurance policies, in accordance with an embodiment of the present disclosure.
[0033] FIG. 3A-3B illustrates exemplary data flow diagram corresponding to the functional components of the proposed satellite-based natural calamity prediction system (100) facilitating assessment of insurance policies, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[0034] 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.
[0035] 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.
[0036] 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.
[0037] While embodiments of the present invention have been illustrated and described in the accompanying drawings, the embodiments are offered only in as much detail as to clearly communicate the disclosure and are not intended to limit the numerous equivalents, changes, variations, substitutions and modifications falling within the spirit and scope of the present disclosure as defined by the appended claims.
[0038] The present disclosure relates to the field of natural calamity prediction. In particular, the present disclosure provides natural calamity prediction system using satellite based sensing, the prediction facilitating assessment of insurance policies offered against damages due to the natural calamities.
[0039] FIG. 1 illustrates exemplary network architecture of the proposed satellite-based natural calamity prediction system (100) facilitating assessment of insurance policies, to elaborate upon its working in accordance with an embodiment of the present disclosure.
[0040] In an embodiment, the satellite-based natural calamity prediction system (100) facilitating assessment of insurance policies (interchangeably known as the system (100), herewith) may include one or more sensors (102) that may be communicatively coupled to one or more satellites. The one or more satellites may pertain to any or a combination of remote sensing satellites and communication satellites. By way of example the one or more satellites may include but may not be limited to LANDSAT, OceanSAT, IRS, Megha Tripoques, SARAL, INSAT, GSAT, Kalpaa and the likes. The one or more sensors (102) may be operatively coupled to the one or more satellites or communicatively coupled through communication channels.
[0041] In an embodiment, the one or more sensors (102) may be configured to monitor and detect one or more attributes pertaining to changes in weather and environmental conditions of one or more regions on earth. The one or more attributes may be received by the one or more sensors (102) at predetermined intervals and time. The one or more regions and range of distances corresponding to the monitoring process may be predetermined. The one or more regions may correspond to one or more geographical locations, time zones, elevations, topography, soil texture, vegetation coverage, percentage of area of water bodies, tectonic activities, population density, degree of urbanization, carbon emission footprint and climate profile.
[0042] In an embodiment, the one or more sensors (102) may be enabled to generate a set of input signals. The one or more satellites may be enabled to assist in reception, quality enhancement and transmission of the set of input signals. The set of input signals may be analog or digital in form that may be converted to computer readable binary stream of information. The set of input signals may correspond to any or a combination of optical signal, temperature, pressure, elevation, humidity, precipitation, static electrical response, magnetic response related to the one or more regions. By way of example the one or more sensors (102) may include but may not be limited to image sensors, optical sensors, resistive temperature detector, thermometer, barometer, strain gauge, altimeter, hygrometer, humidity sensor, ultrasonic flowmeter, magnetic flowmeter, seismograph, meteorological sensors, GPS and the likes. The detected one or more attributes may correspond to any or a combination of sensing using internet of things, distributed sensing, integrated sensing and communication, blockchain-based sensing and satellite based remote sensing. The set of input signals may be configured to be transmitted to a communication satellite or collected by a remote sensing satellite, the set of input signals being configured to be processed and analyzed for prediction of natural calamities. By way of example, satellite-imagery may be detected by any or a combination of visible light image sensors, RGBD image sensors, infrared image sensors, water vapour image sensors and the likes. Satellite based visual imagery may be in any or a combination of views including but not limited to aerial, topographical, street, political, geographical and the likes.
[0043] In an embodiment, the system (100) may include a display unit (104) that may be configured to receive a set output signals and correspondingly generate a set of notifications facilitating real-time monitoring by a user. The user may be an insurance service provider, analyst, statistician, software developer, researcher and the likes. The set of notifications may pertain to any or a combination of audio, alphanumeric text, image, visual and vibratory responses configured to transfer information to the user, the information pertaining to the detected one or more attributes, analysis of the one or more attributes, prediction of natural calamities in the one or more regions based on the analysis, and an assessment, introduction, withdrawal, renewal and amendment of the insurance policies. By way of example the display unit (104) may pertain to liquid crystal displays, light emitting diode displays, scrolling displays, flashing displays, speakers, buzzers, woofers, vibration motors, computer monitors, smart phones, PDAs, Tablets and the likes.
[0044] In an embodiment, the device (100) may include a server (110) that may be configured to receive the set of output signals. The set of output signals may be stored in the server for future access by the authorized user. Frequency of storage and update of information in the server (110) may be performed at predetermined intervals of time. The stored information may be retrieved upon authentication and used for study, research, generation of statistical pattern of natural calamity indicators, climate profiling of the one or more regions, reviewing environmental changes caused by and aiding the natural calamities and the likes. By way of example, the server (110) may pertain to computing devices, personal computers, industrial assets, workstations, smartphones, laptops and the likes.
[0045] In an embodiment, the device (100) may include a communication network (106) that may be coupled to the one or more sensors (102), the display unit (104) and the server (110), the communication network being configured to transmit information between the one or more sensors (102), the display unit (104) and the server (110). The network (106) may be configured to be unidirectional or bidirectional. The transmission of information through the network (106) may pertain to predetermined transmission rate and physical range of distances between the components of the system (100).
[0046] In an exemplary embodiment, the network (106) may be a wireless network, a wired network or a combination thereof that can be implemented as any or a combination of the different types of networks, such as Intranet, Local Area Network (LAN), Wide Area Network (WAN), Internet, GSM, 3G, 4G, 5G , satellite communication networks and the likes. Further, the network (106) may either be a dedicated network or a shared network. The shared network may represent an association of the different types of networks that may use variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), and the like. By way of example, communication interfaces such as optical transceivers, infrared transceivers, ultrasonic transceivers, Bluetooth transceivers Wi-Fi transmitters, Zigbee Transceivers, satellite transponders and the likes may be coupled to the network (106). The network (106) may be enabled to transmit binary streams of information in serial and parallel formats at predetermined speeds. By way of example, uplink and downlink frequencies for facilitating satellite communication may be predetermined.
[0047] In an embodiment, the device (100) may include a processing unit (108) that may be communicatively coupled to the one or more sensors (102), the display unit (104) and the server (110) though the network (106). The processing unit (108) may be enabled to receive the set of input signals from the one or more sensors (102) using the satellites. The processing unit (108) may be configured to analyze the one or more attributes and correspondingly determine predicted outcomes pertaining to the natural calamities. The processing unit (108) may be further enabled to assess the insurance policies and perform one or more functions including but not limited to introduction, withdrawal, renewal and amendment of the insurance policies, computation of customer trends, risks and benefits associated with the insurance polities and the likes.
[0048] FIG. 2 illustrates exemplary functional blocks (200) of the processing unit (108) of the proposed satellite-based natural calamity prediction system (100) facilitating assessment of insurance policies, in accordance with an embodiment of the present disclosure.
[0049] As illustrated in an embodiment, the one or more processing units (108) may include one or more processor(s) (202). The one or more processor(s) (202) may 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) may be configured to fetch and execute computer-readable instructions stored in a memory (204) of the one or more processing units (108). The memory (204) may 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) may 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.
[0050] In an embodiment, one or more processing units (108) may also include 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 one or more processing units (108) with various devices including but not limited to networking hardware, the server (110), one or more sensors (102), display unit (104) and portable mass storage devices and the likes coupled to the one or more processing units (108). The interface(s) (206) may also provide a communication pathway for one or more components of the one or more processing units (108). Examples of such components include, but are not limited to, processing engine(s) (208), memory (204) and database (222).
[0051] In an embodiment, the processing engine(s) (208) may 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 (108) 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 the processing unit (108) and the processing resource. In an embodiment, the processing engine may be implemented as Internet-of-things based engine and Block-chain technology driven engine, Artificial Intelligence-based engine. In other examples, the processing engine(s) (208) may be implemented by electronic circuitry. The database (222) may include information that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) (208).
[0052] In an embodiment, the processing engine (208) may include an acquisition unit (210) that may be configured to receive the set of input signals and extract a first set of data packets from the set of input signals. The first set of data packets may pertain to one or more attributes of weather and environmental conditions corresponding to the one or more regions. The one or more attributes may pertain to any or a combination of sensing using internet of things, distributed sensing, integrated sensing and communication, and satellite based remote sensing.
[0053] In an embodiment, the processing engine (208) may include a classification unit (212) that may be configured to classify the extracted first set of data packets into one or more categories, each category being configured to correspond to a natural calamity. For example, the categories of natural calamities may include but may not be limited to meteorological, geographical, hydrological, climatic, geothermal, environmental categories and the likes. The one or more categories may indicate natural calamities including but not limited to thunderstorms, hurricanes, tornadoes, tsunamis under climatic category, earthquake volcanic activity under meteorological and geothermal category, heavy rain, snowfall, drought, flood under hydrological category, and other natural calamities may be classified as overall combined category and the likes.
[0054] In an embodiment, the processing engine (208) may include a parameter extraction unit (214) that may be enabled to compare the first set of data packets with a second set of data packets and correspondingly generate a third set of data packets. The third set of data packets may pertain to a set of natural calamity indicators or parameters that may be analyzed for estimation of the natural calamities. The second set of data packets may correspond to a set of threshold values of the one or more classified attributes, the second set of data packets being stored in the database (222).
[0055] In an embodiment, the processing engine (208) may include an analysis and prediction unit (216) that may be configured to analyze the third set of data packets and correspondingly generate a fourth set of data packets. The fourth set of data packets may pertain to predictive occurrence of natural calamities in the one or more regions. The predictions may pertain to predetermined probability, confidence and percentage error margins. The analysis of the third set of data packets may be performed based on time of the year, season, changes in wind patterns, ocean current, precipitation, geothermal activities and air pressure gradient, the time of the year and season being predetermined. The changes in the wind patterns, ocean current, precipitation, geothermal activities and air pressure gradient may correspond to one or more predetermined time durations and the one or more regions.
[0056] In an embodiment, the one or more processors (202) may be enabled to perform a set of actions on the fourth set of data packets and correspondingly generate a fifth set of data packets. The predictions related to the fourth set of data packets may pertain to intensity, certainty, duration, time of occurrence of one or more natural calamities, impact, spread and degree of damages caused by the natural calamities, dimension of one or more regions affected by the natural calamities, risks involved, possible payouts, number of claims, consumer trends, customer requirements arising in a predetermined duration in the one or more regions for the one or more insurance policies offered against damages caused by the natural calamities. The set of actions may be based on the predicted occurrence of the natural calamities. The set of actions may pertain to assessment of existing insurance schemes, public demands, current trends, probability of losses to be incurred on event of occurrence of predicted natural calamities, benefits and disadvantages of introducing new insurance policies, withdrawal, renewal and amendment of the existing insurance policies, and upgradation of customer base and outreach. The set of actions may also enable faster claim settlement of insured users.
[0057] In an embodiment, the one or more processors (202) may be enabled to generate the set of output signals based on the third, fourth and the fifth set of data packets. The fifth set of data packets may be stored in the server (110) for one or more time durations, the one or more time durations being predetermined in nature. The fifth set of data packets may be configured to update the insurance policy evaluation trend stored in the database (222), the updated information being time stamped. The stored information may be configured to be retrieved in future by authorized personnel for study, research, statistical pattern generation, prediction, estimation and comparative analysis.
[0058] In an embodiment, the processing engine (208) may include an alarm generation unit (218) that may be configured to generate a set of alarm signals if critical conditions are detected from the analysis and prediction. The critical conditions may pertain to any or a combination of the indicators of one or more natural calamities exceeding a predetermined threshold value, the probability of occurrence of the natural calamity exceeding a predetermined percentage value and one or more sudden and large changes in the weather and environmental factors being detected in a predetermined span of time and the likes. The set of alarm signals may pertain to any or a combination of audio, visual and vibratory responses.
[0059] In an embodiment, the processing engine (208) may include other units (220) that may be configured to that may be configured to implement functionalities that supplement actions performed by the one or more processors (202). In an exemplary embodiment, such actions may include auto-calibration of the one or more sensors (102) conversion of the set of input signals into computer readable binary stream, transferring the set of output signals to the display unit (104) and the server (110) and the likes.
[0060] FIG. 3A-3B illustrates exemplary data flow diagram corresponding to the functional components of the proposed satellite-based natural calamity prediction system (100) facilitating assessment of insurance policies, in accordance with an embodiment of the present disclosure.
[0061] In an illustrative embodiment of FIG. 3A, the one or more sensors (102) coupled to the satellite may be configured to detect one or more attributes pertaining to weather and environmental conditions of one or more predetermined regions. Example of information pertaining to the one or more attributes may correspond to satellite-based imagery using one or more types of image sensors, the image sensors being enabled to detect reflected electromagnetic radiation form the Earth’s surface. The processing unit (108) is enabled to receive the set of input signals generated by the one or more sensors (102) sing exemplary blockchain technology. The processing unit (108) may be enabled to analyze the one or more attributes and generate predictions pertaining to the natural calamities, the predictions being further used to evaluate merits and risks of the insurance policies. A set of output signals may be generated by the processing unit (108). The set of output signals may be configured to be monitored in real-time using a display unit (104) associated by the user, the user being the insurance service provider. The set of output signals may be enabled to be transmitted to the cloud server (110) through the communication network (not shown), the server (110) being configured to store the set of output signals for future access. The processing unit (108) may be configured to retrieve the stored information from the server (110) or prediction of natural calamities, the stored information being facilitated to be updated when new information is available.
[0062] In an embodiment of FIG. 3B, dataflow within the processing unit (108) may be represented. From the received set of input signals the one or more processors (not shown) of the processing unit (108) may be enabled to classify the indicators of natural calamities based on the analyzed one or more attributes and correspondingly predict the type of natural calamities from the analysis of the categorized information. The processing engine (208) of the processing unit (108) may be configured to determine risks and benefits of insurance policies offered against damages caused by the natural calamities. Based on the assessment of the insurance policies amendments, renewal, termination, introduction of insurance policies and customization of insurance policies may be performed by the processing engine (208). The processing unit (108) may be enabled to generate a set of output signals, the set of output signals being enabled to be transmitted to the display unit (104) for immediate viewing by the user. The set of output signals may also be transmitted to cloud server (110) for storage and secured future retrieval by authorized users. By way of example, the set of output signals may pertain to insurance claims and updates based on the predictions and modifications.
[0063] 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.
[0064] The terms, descriptions and figures used herein are set forth by way of illustration only. Many variations are possible within the spirit and scope of the subject matter, which is intended to be defined by the following claims and their equivalents in which all terms are meant in their broadest reasonable sense unless otherwise indicated.
[0065] 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 INVENTION
[0066] The present disclosure provides a satellite based natural calamity prediction system that facilitates assessment of insurance policies offered against damages caused by the natural calamities.
[0067] The present disclosure provides a satellite based natural calamity prediction system that enables one or more sensors communicatively coupled to a satellite to detect one or more attributes pertaining to changes in weather and environment of one or more regions.
[0068] The present disclosure provides a satellite based natural calamity prediction system that enables the one or more sensors to generate a set of input signals based on the detected one or more attributes.
[0069] The present disclosure provides a satellite based natural calamity prediction system that enables a display unit to receive a set of output signals and generate a set of notifications for real-time monitoring.
[0070] The present disclosure provides a satellite based natural calamity prediction system that enables a server to receive the set of output signals and store the set of output signals for future use and secured access by authorized user.
[0071] The present disclosure provides a satellite based natural calamity prediction system that enables a processing unit to receive the set of input signals, analyze the set of attributes and generate predictions of natural calamities based on the analysis.
[0072] The present disclosure provides a satellite based natural calamity prediction system that enables the processing unit to generate and transmit the set of output signals to the display unit and the server.
[0073] The present disclosure provides a satellite based natural calamity prediction system that enables a network to communicative couple the one or more sensors, the display unit, the server and the processing unit.

Claims:

1. A satellite based natural calamity prediction system (100) facilitating assessment, introduction, withdrawal, renewal and amendment of insurance policies, the system comprising:
one or more sensors (102) configured to detect one or more attributes pertaining to environmental and weather conditions and correspondingly generate a set of input signals, wherein the environmental and weather conditions pertain to one or more regions on the Earth, wherein the one or more sensors (102) are communicatively coupled to a satellite, and wherein the one or more regions correspond to one or more geographical locations, time zones, elevations, topography, soil texture, vegetation coverage, percentage of area of water bodies, tectonic activity profiles, population density, degree of urbanization, carbon emission footprint and climate;
a display unit (104) configured to receive a set of output signals and correspondingly generate a set of notifications for facilitating real-time monitoring by a user, wherein the set of notifications pertain to the detected one or more attributes, analysis of the one or more attributes, prediction of natural calamities in the one or more regions based on the analysis, and the assessment, introduction, withdrawal, renewal and amendment of the insurance policies and wherein the user pertains to insurance provider;
a server (110) configured to receive the set of output signals and correspondingly store the set of output signals, wherein the set of output signals pertain to the detected one or more attributes, analysis of the one or more attributes, prediction of natural calamities in the one or more regions based on the analysis, and the assessment, introduction, withdrawal, renewal and amendment of the insurance policies, wherein the set of output signals are configured to be accessed and reviewed in future by the user upon successful authentication;
a network (106) configured to communicatively couple the one or more sensors (102), the display unit (104) and the server (110), wherein the network (106) is enabled to transmit information in any or a combination of unidirectional and bidirectional ways, wherein the information pertains to the set of input signals and the set of output signals ;
a processing unit (108) communicatively coupled to the one or more sensors (102), the display units (104) and the server (110) through the network (106), wherein, the processing unit (108) comprise one or more processors (202) associated with a memory, the memory storing instructions executable by the one or more processors and configured to:
extract, a first set of data packets from the set of input signals;
compare the first set of data packets with a second set of data packets and correspondingly generate a third set of data packets, the third set of data packets pertaining to a set of natural calamity indicators, wherein, the second set of data packets pertain to a set of threshold values of the one or more attributes, wherein the second set of data packets are stored in a database (222), operatively coupled to the one or more processors (202);
analyze the third set of data packets and correspondingly generate a fourth set of data packets, wherein the fourth set of data packets pertain to predictive occurrence of natural calamities in the one or more regions, wherein the predictions pertain to predetermined probability, confidence and percentage error margins;
perform a set of actions on the fourth set of data packets and correspondingly generate a fifth set of data packets, wherein the set of actions pertain to assessment of existing insurance schemes, public demands, current trends, probability of losses to be incurred on event of occurrence of predicted natural calamities, benefits and disadvantages of introducing new insurance policies, withdrawal, renewal and amendment of the existing insurance policies, and upgradation of customer base and outreach;
generate the set of output signals from the fifth set of data packets;
transmit using the network (106), the set of output signals to the display unit (104) for real-time monitoring;
transmit using the network (106), the set of output signals to the server (104) for secured storage and future access.

2. The natural calamity prediction system (100) for insurance policy assessment as claimed in claim 1, wherein the one or more attributes detected by the one or more sensors (102) pertain to any or a combination of sensing using internet of things, distributed sensing, integrated sensing and communication, blockchain-based sensing and satellite based remote sensing, wherein the set of input signals are configured to be transmitted from the one or more sensors (102) to the processing unit (108) using any or a combination of communication satellite and remote sensing satellite, wherein the satellite is facilitated to assist in reception, quality enhancement and transmission of the set of input signals.

3. The natural calamity prediction system (100) for insurance policy assessment as claimed in claim 2, wherein the set of input signals correspond to any or a combination of optical signal, temperature, pressure, elevation, humidity, precipitation, static electrical response, magnetic response related to the one or more regions.

4. The natural calamity prediction system (100) for insurance policy assessment as claimed in claim 1, wherein the analysis of the third set of data packets are performed based on time of the year, season, changes in wind patterns, ocean current, precipitation, geothermal activities and air pressure gradient, wherein the time of the year and season are predetermined and wherein the changes in the wind patterns, ocean current, precipitation, geothermal activities and air pressure gradient correspond to one or more predetermined time durations and the one or more regions.

5. The natural calamity prediction system (100) for insurance policy assessment as claimed in claim 1, wherein the predictions related to the fourth set of data packets are performed using artificial intelligence based processing, wherein the predictions pertain to intensity, certainty, duration, time of occurrence of one or more natural calamities, impact, spread and degree of damages caused by the natural calamities, dimension of one or more regions affected by the natural calamities, risks involved, possible payouts, number of claims, consumer trends, customer requirements arising in a predetermined duration in the one or more regions for the one or more insurance policies offered against damages caused by the natural calamities.

6. The natural calamity prediction system (100) for insurance policy assessment as claimed in claim 1, wherein the fifth set of data packets are stored in the server (110) for one or more time durations, the one or more time durations being predetermined in nature, wherein the fifth set of data packets are configured to update the insurance policy evaluation trend stored in the database (222), wherein the updated information is time stamped and wherein the stored information is configured to be retrieved in future by authorized personnel for study, research, statistical pattern generation, prediction, estimation and comparative analysis.