DESC:FIELD OF THE INVENTION:
The present invention relates to monitoring systems and more particularly to systems for monitoring activities related to the environmental measures at under-constructions sites.
BACKGROUND OF THE INVENTION:
Environment is a major concern in today’s world as the changing urban landscape is leading to the depletion of our natural resources which is going to lead the mankind to a catastrophe. The building developers must be made aware about their construction activities and the impact it is leaving on our environment. There may be various construction management tools and formats deployed on site during construction however these are typically devoid of considerations and tracking of environmental aspects during building construction.
In general, structural health monitoring (SHM) involves the observation and analysis of a system over time using periodically sampled response measurements to monitor changes to the material and geometric properties of engineering structures such as bridges and buildings. Presently, the health of the buildings is measured through piezometer, inclinometer, data loggers, tiltmeters and beam sensors, extensometer, pressure cells and strain gauge. Some of the attempts made in the prior art to monitor the health of under-constructions sites are discussed as under.
U.S Patent Application US10990069B1 to Michael S. Jacob is a System and methods for monitoring building health. Various types of sensors are embedded throughout or within certain portions of different types of building or construction material making up the building, such as within roofing, foundation, or structural materials. The sensors are in wireless communication with a home controller. The sensors are water, moisture, temperature, vibration, or other types of sensors, and may detect unexpected or abnormal conditions within the home. The sensors and/or home controller may transmit alerts to a mobile device of the homeowner associated with the unexpected condition, and/or that remedial actions may be required to repair the home or mitigate further damage to the home. The sensor data may also be communicated to an insurance provider remote server to facilitate the insurance provider communicating insurance-related recommendations, updating insurance policies, or preparing insurance claims for review for homeowner. However, discussed U.S Patent Application monitors health of a completely developed building.
Another U.S Patent Application US11454606B2 to Pouria Ghods is a method and systems relating to construction material assessment. The U.S Patent Application address queries relating to concrete testing and concrete structure characterization, more particularly to electrical methods and systems for establishing cured concrete performance from measurements of wet concrete, automated methods and systems for periodic and/or continuous characterization of concrete structures, electrical methods and systems for corrosion measurement of rebar in reinforced concrete structures, construction material process monitoring and compact self-contained electrical sensors with wireless interfaces.
Yet another U.S Patent Application US20240249141A1 to Saurabh Ladha is a system for monitoring construction of a structure. The U.S Patent discloses a computer system that generates a three-dimensional (3D) visualization of a building structure that is undergoing construction. The system determines a location of an object in the building structure and map the object to an expected object in a 3D model of the building structure. The system may detect a discrepancy between the object of the building structure and the expected object in the 3D model, and determine that the discrepancy exceeds a threshold, which constitutes a reportable error. In response, the system determines a modification to the building structure to compensate for the discrepancy, adjust a schedule for construction or a cost estimate to compensate for an impact of the discrepancy or the modification to the building structure, and send a message that reports the discrepancy and the modification.
The state-of-the-art technologies have systems for monitoring the quality and safety measures of a developed architecture. However, state of the art technologies lack systems for monitoring safety measures, quality control, quality assurance, and typically do not consider environmental measures and compliances and the like of the under-construction architecture. Conventional systems lack a way to notify the developer regarding any glitches in an under-construction architecture. Further, conventional systems are more focused on the environmental measures either during design, that is pre-construction or post-occupancy stages. Hence, this gap in the building construction industry is not closed and needs to be addressed.
Hence, there is a need of a system for real-time monitoring and auditing environmental measures of an under-construction building particularly focused on environmental measures. Further, there is also a need of a system for providing weightage score for ease of evaluation and tracking of environmental measures and performance of the under-constructions architecture based on environmental measures.
SUMMARY OF THE INVENTION:
A system for real time monitoring of environmental measures in under construction architectures includes a user interface unit communicating with a processing unit through an input module. The processing unit includes a controller being configured for processing data received from the processing unit. The processing unit includes a first module 245 being configured to generate different parameters and train a parameter dataset using machine learning. Further, a file evaluator module is configured to evaluate, analyze and validate the details of documents of an infrastructure.
A monitoring unit is also configured with sensors for trans receiving real time data and accurate values from the remotely situated infrastructure. The processing unit includes a second module that is configured to receive parameter data and execute various image processing techniques. The processing unit includes a third module being configured to generate score based on assessment of the parameter data received from the second module. The processing unit includes a fourth module being configured to identify errors in the data processed by the third module and generate counter measures.
A fifth module is configured to generate a report on the output data on a processor. The input module being configured to receive a real-time input data being processed on the processing unit and stored in the database. The file evaluator module including a site logistics module, a project scheduler module, a waste inventory module, a survey module, a soil report generator, a RMC report generator and an emission tracker module. The site logistics module being configured to receive the site logistics plan of the infrastructure and analyze the plan, ensuring the safety of the workers, efficient paths for storing supplies, legal compliances.
The project scheduler being configured to track project duration, progress, document activities, deadlines, tracking the overall progress of the infrastructure over the period of time. The waste inventory module being configured to track, document and manage the constructional waste during the project. The survey module being configured to document groundwater conditions at a particular site including aquifer attributes, flow and percolation rate. The top soil fertility report generator module being configured to assess the nutrient content and condition of topsoil, analyze nutrients, pH value, texture and moisture content, N: P: K content ratio and generate a report based on the analysis of the content of the soil.
The RMC report generator module being configured to assess and document ready to mix concrete batches, ensuring mix meets project requirements for durability, workability, and compressive strength. The carbon emissions tracker module being configured to document the list of building materials for sustainability and compliance. The monitoring unit communicates with the processing unit using communication protocols including Message Queuing Telemetry Transport (MQTT) over 4G/LTE, enabling low-latency, secure and energy-efficient data transmission.
The second module is configured to process captured image data using artificial intelligence techniques including You Only Look Once (YOLO), Convolutional Neural Networks (CNN), and key point detection algorithms for identifying trees, soil protection measures, safety barricades, and other environmental compliance parameters on the site.
The monitoring unit is configured to automatically trigger physical interventions including activation of water sprinklers upon the Air Quality Index (AQI) sensors detecting values beyond a predefined threshold, thereby controlling dust and air pollution at the construction site. A method for generating a checklist data through the file evaluator module includes method steps of combining, object files generated through the site logistics module, the project scheduler module, the waste inventory module, the survey module, the soil report generator, the RMC report generator and the emission tracker module.
Processing, the evaluator object file and generating the analysis of documents of a particular infrastructure based on the defined parameters in the file evaluator module. Storing the evaluator object file and the checklist data in the database at quarterly interval throughout the year. Retrieving, the stored object file and the checklist data by the controller and generating report through the fifth module. A method for identifying safety parameters through the monitoring unit comprises method steps of capturing, the periodic images of the construction site and determine whether the nutrients rich top soil is protected from the other environmental factors by processing the captured image through the second module.
Identifying, the slippery road conditions on the site, zones requiring protection with barricades, areas for stabilizing the excavated slopes, unstable areas through the captured image data and the values returned by the various sensors. Monitoring, the storage of harmful chemicals, identifying generator set storage height above safety limits, storage of fine materials such as sand, excavated earth, fly ash, steel reinforcement by receiving image data and values from LiDAR and volumetric sensors. Recognizing, indoor dust pollution by processing data received from AQI sensors on the controller. Detecting, firefighting equipment, safety belts and harness for labors wastewater treatment on site and labor camp, maintain general illumination levels on site, first aid and emergency facilities by processing image data obtained through the sensors.

BRIEF DESCRIPTION OF DRAWINGS:
The objectives and advantages of the present invention will become apparent from the following description read in accordance with the accompanying drawings wherein,
FIG.1 shows a high-level view of a system for real-time monitoring of environmental measures in under construction architectures in accordance with the present invention;
FIG. 2 is a system architecture of the system for real-time monitoring of environmental measures in under construction architectures of FIG.1; and
FIG. 3 is an operational flow chart of the system for real-time monitoring of environmental measures in under construction architectures of FIG.1.
DESCRIPTION OF THE INVENTION:
References in the specification to "one embodiment" or "an embodiment" means that a particular feature, structure, characteristic, or function described in connection with the embodiment is included in at least one embodiment of the invention. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.
References in the specification to “preferred embodiment” means that a particular feature, structure, characteristic, or function described in detail thereby omitting known constructions and functions for clear description of the present invention.
The foregoing description of specific embodiments of the present invention has been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present invention to the precise forms disclosed and obviously many modifications and variations are possible in light of the above teaching.
Referring to FIG.1, a system for real-time monitoring of environmental measures in under-construction architectures hereinafter referred to as the system 100 is described. In the present embodiment, the system 100 is a plugin or a web-based portal however, the type of application varies in other embodiments of the present invention. The system 100 is accessed through a plurality of electronic devices 115 for example a laptop, computers, handheld devices or the like.
The system 100 is accessed by individuals i.e., a first user 105, a second user 110 and a third user 113 through the electronic devices 115 and preferably through the internet 120. The first user 105 is preferably a sender accessing the system 100 for sending plurality of data 125 over browsers. The system 100 is configured for securing and processing the data 130 received from the first user 105.
The third user 113 is preferably a super admin who analyzes the details of the data 125 received from the first user 105. The second user 110 is preferably a recipient of secured data 135 sent by the system 100. It is to be noted that, the first users 105, the third user 113 and the second users 110 may be individuals, devices, automated services or applications sending and receiving data 125, 130 respectively in other embodiments of the present invention.
The system 100 receives data 130 from the first user 105 that includes the details of the under-construction site. The system 100 processes the data 130 and sends to the third user 113 for analyzing the details received from the first user 105 and after analyzing forwards the data 135 to the second user 110. It is to be noted that the analysis is carried out throughout the construction phases of the under-construction buildings, bungalows, houses, malls and various types of infrastructures periodically.
The system 100 is configured to monitor, document, evaluate, and periodically track progress of the under-construction architecture to enhance the environmental performance of the same at actual. The system 100 is configured to facilitate the tracking of the environmental protection, resource conservation, social wellbeing and overall sustainability measures undertaken on the construction sites. The system 100 encrypts and sends back the secured data 135 to the second user 110 in the form of a pdf file, link, or the like.
Referring to FIG.2, the system for real-time monitoring of environmental measures in under-construction architectures 100 is described. The system 100 includes a user interface unit 205, a processing unit 210 and a database 215. The processing unit 210 bidirectionally communicates with the user interface unit 205 and the database 215. The user interface unit 205 includes a login module 220, an authentication module 225, an input module 230, a dashboard 236, a payment module 237 and an output module 235. The processing unit 210 includes a controller 240, a first module 245, a second module 250, a third module 255, a fourth module 260, a fifth module 265 and a processor 270.
The input module 230 is configured to receive the data 125 that may be in the form of images, pdf files, videos, text data from the users 105 through the electronic devices 115. The input module 230 receives the data 125 from the users 105 and stores the data 125 in the database 215 through the processing unit 210. It is to be noted that the first users 105 input the data 125 based on the real-time scenarios of the under-construction site. The output module 235 is configured to display the report i.e., output data 135 generated from the system 100 on the electronic devices 115.
In this preferred embodiment, the output module 235 generates output data 135 in the form of pdf file, excel file or the like and sends to the second user 110. The dashboard 236 displays all the contents of the system 100 after the users 105,113 and 110 logs into the system 100. The payment module 237 is configured to securely receive the payment to the system 100 and provides secure medium for the users 110 to transfer the funds.
The login module 220 receives credentials from the registered users and validates with the data stored in the database 215. The login module 220 allows the registered users to log in to the device 100. The new users are registered based on registration parameters and are registered in the device 100. The registration parameters include the details for example “name, age, gender, location of device, email id, mobile number”.
The data 125 received from the users 105, 113, 110 is stored in the database 215. In accordance with the present invention, the users 105 113 and 110 may log in with device 115 through their social media account or their existing email IDs. In the present invention, the users 105, 113 and 110 may reset the forgotten password by receiving new password on the registered email ID or mobile number, message verification, telephonic verification, or the like.
The authentication module 225, authenticates the registered users in the device 100. The authentication module 225 communicates with the controller 240 and accesses the registered user data and accordingly authenticates the users 105, 113, 110 in the device 100. The controller 240 is configured to process the data received from the input module 230. The controller 240 supervises the function of the processing unit 210 and communicates data to and from each of the module to one another. Further, the processor 270 processes the data as received from the controller 240, produces output and sends back to the controller 240.
The first module 245 is a parameter generator module that is configured to generate different parameters based on the input received from the users 105 and the datasets stored in the database 115. The first module 245 is configured to train the parameter dataset through machine learning. In context of the present invention, the parameter dataset includes information like identifying various detail on the safety measures implemented on an under-construction site, various facilities provided to the labors, environmental pollution control measures implemented, and the like.
It is to be noted that, the parameters dataset is trained on a file evaluator module 275 and a monitoring unit 285. The third user 113 is configured to store the predefined datasets inside the database 115. The controller 240 is configured to fetch the predefined datasets for receiving the data from the users and displays it on the input module 230 of the user interface unit 205.
The input module 230 receives parameter data 125 from the first users 105 and sends the data 125 to the controller 240. The controller 240 receives the parameter data 125 from the input module 230 and stores in the database 215. It is to be noted that in context of the present invention, the first user 105 inputs parameter data in text, image, video format however, the data format varies in other embodiments of the present invention.
The file evaluator module 275 is configured to initially evaluate documents required for constructing a building, a bungalow, any infrastructure of the like. The file evaluator module 275 ensures the authenticity, validity and the compliance of the documents as received from the second user 110 for a particular infrastructure. Further, the file evaluator module 275 is configured to analyze the documents of a particular under construction infrastructure. Furthermore, the file evaluator module 275 assesses the documents as received from the second user 110, compares the parameters received from the first module 245 with the file evaluator data.
The file evaluator module 275 is invoked by the controller 240 that includes “a site logistics module 276”, “a project scheduler module 277”, “a waste inventory module 278”, “a survey module 279”, “a soil report generator 280”, “a RMC report generator 281” and “an emission tracker module 282”. The site logistics module 276 is configured to receive the site logistics plan of the infrastructure and analyze the plan to ensure the safety of the workers, efficient paths for storing supplies, legal compliances and the like.
Further, the site logistics module 276 is configured to ensure that the plan has the environmental aspects such as wheel washing point, existing tree preservation, sedimentation basin, PUC checkpoints and the like. The site logistics module 276 is further configured to assess the details of the received plan, process the plan, compare the plan with the data stored in the database and generate an object file.
In context of the present invention, the project scheduler module 277 of the file evaluator module 275, is configured to track project duration, progress, document activities, deadlines, tracking the overall progress of the infrastructure over the period of time. The project scheduler module 277 is further configured to assess the details of the received plan, process the plan, compare the plan with the data stored in the database and generate an object file.
The waste inventory module 278 is configured to track, document and manage the constructional waste during the project. The waste inventory module 278 documents types of waste, waste volume, recycling goals, disposal methods or the like. In the waste inventory module 278, the construction based generated waste on site is quantified and documented for each project. Similarly, the waste inventory module 278 is configured to track the waste data of wood, plastic, rubber, cement or the like. The waste inventory module 278 is further configured to assess the details of the received plan, process the plan, compare the plan with the data stored in the database and generate an object file.
In context of the present invention, the survey module 279 is configured to document groundwater conditions at a particular site including aquifer attributes, flow and percolation rate. The survey module 279 is configured to prepare report showing circulation test results and the percolation rate of a particular site. The survey module 279 is further configured to assess the details of the received plan, process the plan, compare the plan with the data stored in the database and generate an object file.
The soil report generator module 280 is configured to assess the nutrient content and condition of topsoil, analyze nutrients, pH value, texture and moisture content, N: P: K content ratio and generate a report based on the analysis of the content of the soil. The soil report generator module 280 is further configured to assess the details of the received plan, process the plan, compare the plan with the data stored in the database and generate an object file.
The RMC report generator 281 is configured to assess and document ready to mix concrete batches, ensures mix meets project requirements for durability, workability, and compressive strength. The RMC report generator 281 is further configured to assess the details of the received plan, process the plan, compare the plan with the data stored in the database and generate an object file.
The emissions tracker module 282 is configured to document the list of building materials for sustainability and compliance. The emissions tracker module 282 is configured to document detailed list of materials including, material type, supplier details, recycled content percentage, procurement distance and the like. The emissions tracker module 282 is further configured to assess the details of the received plan, process the plan, compare the plan with the data stored in the database and generate an object file.
The file evaluator module 275 is further configured to combine the object files generated through the project scheduler module 277, the waste inventory module 278, the survey module 279, the soil report generator 280, the RMC report generator 281 and the emission tracker module 282. The controller 240 then processes the evaluator object file and generates a checklist data that generates the analysis of documents of a particular infrastructure based on the defined parameters in the file evaluator module 275. The generated checklist data and the evaluator object files vary as per the progress of the infrastructure. The evaluator object file and the checklist data is stored in the database 215 at quarterly interval throughout the year.
In context of the present invention, the processing unit 210 includes a monitoring unit 285 that includes a plurality of environmental sensors such as CO2, PM2.5, PM10, AQI, Temperature, Humidity, NO2, LiDAR and volumetric sensors and noise for continuously capturing atmospheric data. The sensors of the monitoring unit 285 communicate using MQTT over 4G/LTE, ensuring low-latency, energy e?icient, and reliable data transmission. The monitoring unit 285 ensures that the sensors provide real time and accurate values from the remotely situated infrastructure.
Further, the processing unit 210 invokes the monitoring unit 285 in a quarterly periodic interval for under construction infrastructures. Further, the monitoring unit 285 is configured to capture the periodic images of the construction site and determine whether the nutrients rich top soil is protected from the other environmental factors by processing the captured image using Keypoint detection, YOLO (You Only Look Once) and CNN (Convolutional Neural Network) to identify the objects in the processing through the second module 250.
Further, the monitoring unit 285 is configured to process the captured images, identify the trees and further identify the protection provided to the existing trees by object recognition algorithms such as You only look once (YOLO) by processing the image on the second module 250. Accordingly, the monitoring unit 285 also identifies the slippery road conditions on the site, identifies zones requiring protection with barricades, identifies the areas for stabilizing the excavated slopes, unstable areas through the captured image data and the values returned by the various sensors.
In context of the present invention, the monitoring unit 285 is configured to monitor the storage of harmful chemicals, generator set storage height above safety limits, storage of fine materials such as sand, excavated earth, fly ash, steel reinforcement. Further, the monitoring unit 285 also recognizes the practices implemented for segregation of waste materials from the captured images. The monitoring unit 285 in cognition with the multiple sensors detect the air quality index of the construction infrastructure, detect the provisions for ready to mix concrete disposal or reuse mechanisms implemented on the site. Further, the monitoring unit 285 recognizes indoor dust pollution through various sensors and processes the data on the controller. The monitoring unit 285 is also configured to monitor the anti-pollution measures on an infrastructure by activating the water sprinklers upon crossing of threshold value of by the AQI sensors.
The monitoring module 285 is further configured to detect the condition of the laborers, the safety mechanism implemented such as daylight and ventilation in labor colonies, clean drinking water provision at site multiple locations, clean toilets for laborers at site, separate urinals, hand wash areas for men and women, clean drinking water, bathing areas or the like. The monitoring module 285 is further configured to detect creche facility, firefighting equipment, safety belts and harness for labors wastewater treatment on site and labor camp, maintain general illumination levels on site, first aid and emergency facilities. The monitoring module 285 is configured to detect the labor safety mechanism on a particular site and process the data on the controller 240.
The second module 250 is configured to receive the parameter data 125 from the first module 245. The parameter data 125 provided by the first module 245 comprises of different environmental and social measures that must be undertaken on the site during any phase of construction. Further, the second module 250 is configured to assess the parameter data 125 and execute various image processing techniques for detecting the objects in case of images or videos. The second module 250 is configured to process the data on the processor 270.
The second module 250 extracts relevant data from the processed parameter data 125 and forwards the extracted data towards the third module 255. Further, the second module 250 is configured to extract and assesses the current site conditions and checks the environmental compliance data i.e., air pollution prevention, water pollution prevention, tree protection, carbon footprint reduction, waste management, resource conservation, site preservation, labor safety and health and wellbeing, environment monitoring or the like.
The third module 255 is configured to audit the processed parameters data 125 and provide a weightage of score based on the processed data. The third module 255 is trained to rate the processed parameters data 125 in context with the environmental and social measures that mainly relates to the safety features been taken into consideration. The third module 255 further provides a specific weightage of score to the processed data 125 by comparing the received data with the predefined datasets stored in the database 215. Further, the third module 255 sends the processed data 125 to the third user 113 for assessing and analyzing further details and received recommendations accordingly. The third module 255 further forwards the data 125 to the fourth module 260.
The fourth module 260 is configured to provide recommendations, measures on the identified problems by the third module 255. The fourth module 260 is configured with artificial intelligence and obtains the trained data sets from the database 215 to provide the measures to overcome the identified problems. The fourth module 260 provides measures that are called “priority action points” that are inclined towards environmental compliance data. The process from the first module 245 to the fourth module 260 is periodic and varies as per the phases of the construction sites/architectures.
Accordingly, the fifth module 265 is configured to receive data 125 from the fourth module 260 through the controller 240 and generate a report on the output data 135 based on the processed data. The fifth module 265 generates a report on the output data 135 that provides a clear understanding of how the site project teams are performing on the environmental front. Also, as the system 100 periodically checks the activity, trend mapping of any construction site is possible.
The fifth module 265 generates output data report 135 that aids to capture the priority action points, current score of the site, shows the previous score and further the measures which are in line with the compliance and an overview of site progress. The fifth module 265 is configured to customize site audits and detailed performance reports so that developers track progress, compare scores across projects, and make data-driven decisions to enhance sustainability outcomes.
Referring to FIGS. 1 to 3 an operational cycle of the system 100 is described hereinafter. In an initial step 305, the user 105 logs in the system 100 through the electronic device 110. The authentication module 225 authenticates the user 105 in the system 100. In a next step 310, the user 105 inputs the data file 125 and the controller 240 invokes the first module 245. In this step 310, the first module 245 analyzes the data file 125 and generates output on the controller 240. In a next step 315, the processing unit 210 processes the data file 125 and forwards to the second module 250. In this step 315, the controller 240 invokes the file evaluator module 275 for assessing the correctness of the documents. Further, in this step 315, the controller 240 invokes the monitoring unit 285 for monitoring the sensor data periodically.
In this step 315, the second module 250 extracts the sensed and cognate data received from the monitoring unit 285 and forwards the data towards the third module 255. In a next step 320, the third module 255 is configured to further analyzes the data 125 and provide a weightage of score to the parameters by comparing it with the predefined datasets. In this step 320, the data 125 is forwarded to the third user 113 for further analysis and returned to the system 100 with changes if any.
In a next step 325, the data 125 is received by the fourth module 260 from the third module 255. In this step 325, the data 125 is analyzed and priority action points are identified based on the analysis carried in the second module 250. In a next step 330, the processed data 125 is transformed into output data 135 that displays phase wise statistics of the under-construction site, problems associated and provides recommendations to overcome the same. In a next step 335, upon receipt of payment through the payment module 237 the processed output data, 135 is then sent to the user 110.
The system for real-time monitoring of environmental measures in under construction architectures advantageously allows the site engineers, EHS officers, project managers and in turn the developers/contractors to gain an unparalleled visibility into the implementation of critical site measures focused on environmental protection and performance in the National Building Code, Green Environmental Clearance Conditions and Pollution Control Board guidelines. The system for real-time monitoring of environmental measures in under construction architectures advantageously bird’s eye view to the project promoters, with the insights they need to ensure ongoing compliance and identify areas for improvement during construction.
The system for real-time monitoring of environmental measures in under construction architectures advantageously provides a report that provides a clear understanding of how the site project teams are performing on the environmental front, just a click away for the promoters/developers/contractors. The system for real-time monitoring of environmental measures in under construction architectures advantageously provides data keeping and record keeping of environmental measures in single, protected and reliable location which is one click away for the project promoters. The system for real-time monitoring of environmental measures in under construction architectures advantageously provides clients with multiple or single projects that use the system for comparisons, cross-learnings between sites or tracking the performance of project engineers at various construction stages.
The embodiments were chosen and described in order to best explain the principles of the present invention and its practical application, to thereby enable others, skilled in the art to best utilize the present invention and various embodiments with various modifications as are suited to the particular use contemplated.
It is understood that various omission and substitutions of equivalents are contemplated as circumstance may suggest or render expedient, but such are intended to cover the application or implementation without departing from the scope of the present invention.
,CLAIMS:WE CLAIM:
1. A system for real time monitoring of environmental measures in under construction architectures including a plurality of electronic devices 115, characterized in that said system 100 comprising:
a user interface unit 205 communicating with a processing unit 210 through an input module 230, the processing unit 210 including a controller 240 being configured for processing data received from the processing unit 210; the processing unit including a first module 245 being configured to generate different parameters and train a parameter dataset using machine learning; a file evaluator module 275 being configured to evaluate, analyze and validate the details of documents of an infrastructure;
a monitoring unit 285 being configured with sensors for trans receiving real time data and accurate values from the remotely situated infrastructure; the processing unit 210 including a second module 250 being configured to receive parameter data 125 and execute various image processing techniques;
the processing unit 210 including a third module 255 being configured to generate score based on assessment of the parameter data received from the second module 250; the processing unit 210 including a fourth module 260 being configured to identify errors in the data processed by the third module 255 and generate counter measures; and
a fifth module 265 being configured to generate a report on the output data 135 on a processor 270.
2. The system for real time monitoring of environmental measures in under construction architectures 100 as claimed in claim 1 wherein, the input module 230 being configured to receive a real-time input data 125 being processed on the processing unit and stored in the database 215.
3. The system for real time monitoring of environmental measures in under construction architectures 100 as claimed in claim 1 wherein, the file evaluator module 275 including a site logistics module 276, a project scheduler module 277, a waste inventory module 278, a survey module 279, a soil report generator 280, a RMC report generator 281 and an emission tracker module 282.
4. The system for real time monitoring of environmental measures in under construction architectures 100 as claimed in claim 1 wherein, the site logistics module 276 being configured to receive the site logistics plan of the infrastructure and analyze the plan, ensuring the safety of the workers, efficient paths for storing supplies, legal compliances.
5. The system for real time monitoring of environmental measures in under construction architectures 100 as claimed in claim 1 wherein, the project scheduler 277 being configured to track project duration, progress, document activities, deadlines, tracking the overall progress of the infrastructure over the period of time.
6. The system for real time monitoring of environmental measures in under construction architectures 100 as claimed in claim 1 wherein, the waste inventory module 278 being configured to track, document and manage the constructional waste during the project.
7. The system for real time monitoring of environmental measures in under construction architectures 100 as claimed in claim 1 wherein, the survey module 279 being configured to document groundwater conditions at a particular site including aquifer attributes, flow and percolation rate.
8. The system for real time monitoring of environmental measures in under construction architectures 100 as claimed in claim 1 wherein, the top soil fertility report generator module 280 being configured to assess the nutrient content and condition of topsoil, analyze nutrients, pH value, texture and moisture content, N: P: K content ratio and generate a report based on the analysis of the content of the soil.
9. The system for real time monitoring of environmental measures in under construction architectures 100 as claimed in claim 1 wherein, the RMC report generator module 281 being configured to assess and document ready to mix concrete batches, ensuring mix meets project requirements for durability, workability, and compressive strength.
10. The system for real time monitoring of environmental measures in under construction architectures 100 as claimed in claim 1 wherein, the carbon emissions tracker module being configured to document the list of building materials for sustainability and compliance.
11. The system for real time monitoring of environmental measures in under construction architectures as claimed in claim 1, wherein the monitoring unit 285 communicates with the processing unit 210 using communication protocols including Message Queuing Telemetry Transport (MQTT) over 4G/LTE, enabling low-latency, secure and energy-efficient data transmission.
12. The system for real time monitoring of environmental measures in under construction architectures as claimed in claim 1, wherein the second module 250 is configured to process captured image data using artificial intelligence techniques including You Only Look Once (YOLO), Convolutional Neural Networks (CNN), and key point detection algorithms for identifying trees, soil protection measures, safety barricades, and other environmental compliance parameters on the site.
13. The system for real time monitoring of environmental measures in under construction architectures as claimed in claim 1, wherein the monitoring unit 285 is configured to automatically trigger physical interventions including activation of water sprinklers upon the Air Quality Index (AQI) sensors detecting values beyond a predefined threshold, thereby controlling dust and air pollution at the construction site.
14. A method for generating a checklist data through the file evaluator module 275 as claimed in claim 1 comprising method steps of:
a. Combining, object files generated through the site logistics module 276, the project scheduler module 277, the waste inventory module 278, the survey module 279, the soil report generator 280, the RMC report generator 281 and the emission tracker module 282;
b. Processing, the evaluator object file and generating the analysis of documents of a particular infrastructure based on the defined parameters in the file evaluator module 275;
c. Storing the evaluator object file and the checklist data in the database 215 at quarterly interval throughout the year; and
d. Retrieving, the stored object file and the checklist data by the controller 240 and generating report through the fifth module 265.
15. A method for identifying safety parameters through the monitoring unit 285 comprising method steps of:
a. Capturing, the periodic images of the construction site and determine whether the nutrients rich top soil is protected from the other environmental factors by processing the captured image through the second module 250;
b. Identifying, the slippery road conditions on the site, zones requiring protection with barricades, areas for stabilizing the excavated slopes, unstable areas through the captured image data and the values returned by the various sensors;
c. Monitoring, the storage of harmful chemicals, identifying generator set storage height above safety limits, storage of fine materials such as sand, excavated earth, fly ash, steel reinforcement by receiving image data and values from LiDAR and volumetric sensors;
d. Recognizing, indoor dust pollution by processing data received from AQI sensors on the controller 240; and
e. Detecting, firefighting equipment, safety belts and harness for labors wastewater treatment on site and labor camp, maintain general illumination levels on site, first aid and emergency facilities by processing image data obtained through the sensors.
Dated this 30th day of September 2024.
For VK DESIGN AND PROJECTS PVT LTD

MAHURKAR ANAND GOPALKRISHNA
IN/PA-1862
(Agent for Applicant)