AI intelligent reconnaissance decision management system based on unmanned aerial vehicle multi-source image fusion

Abstract

An AI intelligent reconnaissance decision management system based on unmanned aerial vehicle multi-source image fusion relates to the technical field of intelligent reconnaissance management systems, utilizes an unmanned aerial vehicle technology, can quickly obtain high-definition images and multi-dimensional data of a large-area area, and an unmanned aerial vehicle replaces manual work to enter a dangerous area for reconnaissance, so that the personal safety of approval personnel is guaranteed, and the reconnaissance efficiency is improved. Through cooperation of an intelligent APP and a cloud system, online reconnaissance application, video verification, data transmission and report generation are realized, an online zero-contact reconnaissance mode is adopted, data are acquired by means of an unmanned aerial vehicle, evaluation is performed by an approver according to objective data and a model generated by the system, human intervention is reduced, and through integration of advanced technologies such as the unmanned aerial vehicle, the intelligent APP, big data and AI, an intelligent reconnaissance system is established. The survey process is optimized comprehensively, many pain points of a traditional survey mode are solved, efficient, accurate and transparent survey management is achieved, and powerful support is provided for improving the government affair service level and promoting digital transformation.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of intelligent reconnaissance management systems, in particular to an AI intelligent reconnaissance decision management system based on multi-source image fusion of an unmanned aerial vehicle. BACKGROUND

[0002] In the traditional mode, repeated reconnaissance is carried out on site by relying on manual work, different department approval personnel need to go to the same place for many times, which leads to high time cost of enterprises, serious waste of manpower and material resources of the approval department, and complicated communication and coordination, and the whole reconnaissance process is time-consuming and long, which seriously slows down the progress of project approval, and at the same time, in the traditional reconnaissance, the approval personnel and enterprises or businesses directly contact frequently, which is easy to breed risks, and may cause the situation of power rent-seeking and destruction of market order.

[0003] Therefore, in view of the deficiencies of the prior art, it is very necessary to provide an AI intelligent reconnaissance decision management system based on multi-source image fusion of an unmanned aerial vehicle to solve the deficiencies of the prior art. SUMMARY

[0004] The AI intelligent reconnaissance decision management system based on multi-source image fusion of an unmanned aerial vehicle provided by the application can quickly obtain high-definition images and multi-dimensional data of a large area by using unmanned aerial vehicle technology, and the unmanned aerial vehicle replaces manual work to enter a dangerous area for reconnaissance, thereby guaranteeing the personal safety of the approval personnel, and then the intelligent APP and the cloud system are cooperated to realize online reconnaissance application, video verification, data transmission and report generation, the approval requirements are informatized and electrified by technologies such as electronic signature and electronic seal, and are stored in the cloud system, so that each department can conveniently check, share and call in real time, break the information island, adopt the online "zero contact" reconnaissance mode, collect data by means of the unmanned aerial vehicle, the approval personnel evaluate according to the objective data and models generated by the system, reduce human intervention, and optimize the reconnaissance process in all directions by integrating the unmanned aerial vehicle, the intelligent APP, big data, AI and other advanced technologies, solve many pain points of the traditional reconnaissance mode, realize efficient, accurate and transparent reconnaissance management, and provide strong support for improving the level of government services and promoting digital transformation.

[0005] The above-mentioned purpose of the application is achieved by the following technical means.

[0006] The AI intelligent reconnaissance decision management system based on multi-source image fusion of an unmanned aerial vehicle comprises an unmanned remote reconnaissance module, the unmanned remote reconnaissance module transmits collected data to an intelligent APP front-end and back-end integrated module, the intelligent APP front-end and back-end integrated module adopts an electronic signature and electronic seal module to stamp and verify after auditing the data, and the unmanned remote reconnaissance module, the intelligent APP front-end and back-end integrated module and the electronic signature and electronic seal module are all connected with a big data visualization module. The unmanned remote reconnaissance module consists of hardware and software components that work together. The hardware components include drones, high-definition cameras, sensors, and a positioning system; the software components include a flight control system, a data acquisition and transmission system, and a data processing system. The intelligent APP's integrated front-end and back-end module includes a front-end and a back-end. The front-end includes modules for site survey application, task list, real-time site survey, data upload, and message notification. The backend includes modules for task assignment, video conferencing, document review, and report generation. The big data visualization module is divided into a data collection and integration system, a data visualization display system, and a data analysis and decision support system.

[0007] Specifically, the hardware includes cameras that can capture high-resolution videos and photos, sensors that collect environmental data such as temperature and humidity, and a positioning system that ensures the drone's accurate flight and location tracking.

[0008] Specifically, the flight control system in the software section has an automatic flight path planning function. According to the requirements of the reconnaissance mission, the operator can input the target area parameters into the system, and the UAV will automatically generate the optimal flight route accordingly. The data acquisition and transmission system controls the drone's camera to acquire videos and photos. It can take pictures according to preset time intervals or events. Using 5G data transmission technology, the acquired data is transmitted in real time, ensuring high-speed, stable and low-latency data transmission. The data processing system performs preliminary processing on the transmitted data, including image noise reduction and enhancement, as well as geographic information annotation for videos and photos. It embeds information such as latitude, longitude, and altitude of the shooting location into the data files for easy subsequent analysis and archiving. The embedded AI analysis module intervenes in real-time to perform multi-dimensional analysis of the drone's transmitted imagery and modeling data. This AI analysis module can identify ground features, quickly distinguish between different elements such as buildings, roads, farmland, and water bodies, and determine whether they meet approval requirements based on preset survey standards and specifications. The AI ​​analysis module can also intelligently assess terrain features, such as whether the slope meets construction standards and whether there are potential geological hazards. Once a problem is detected, the AI ​​analysis module can automatically associate it with relevant approval indicators to accurately locate the problem.

[0009] Specifically, the site survey application function in the front end (APP) allows users to fill out a site survey application form on the APP, enter detailed requirements, and upload relevant project materials to gain a comprehensive understanding of the project situation; The real-time site survey function allows for remote communication via the app's real-time video function, enabling users to capture and upload images of the site in real time, facilitating communication on details and ensuring the smooth progress of the site survey. The document upload and viewing function allows users to upload rectified documents at any time via the APP, enabling timely submission of documents, rapid information exchange, and ensuring the continuity of the site survey work. The push notification and message function can promptly push the progress of the survey task, ensuring that the survey dynamics can be grasped in a timely manner and preparations can be made in advance.

[0010] Specifically, the backend (PC) includes task allocation and scheduling functions. Based on the survey task situation, it can reasonably allocate survey tasks and adjust and schedule tasks according to the actual situation to ensure the efficient and orderly progress of the survey work. The video conferencing and review function allows for remote video site visits through the video conferencing system. During the meeting, on-site videos and photos can be viewed in real time, and various approval indicators can be verified in detail, facilitating better communication and analysis between approvers and experts. The document review and management function allows users to review and manage various uploaded documents, view, download, and annotate them to ensure their completeness and accuracy. The system also categorizes, stores, and manages the documents for easy retrieval and archiving later. The verification report generation function automatically generates a verification report based on the site survey results and review status. After the report is generated, approvers can review and modify it to ensure the accuracy and standardization of the report.

[0011] Specifically, the electronic signature and electronic seal module has electronic signature technology and electronic seal technology. The electronic signature technology has identity authentication function and signature generation and verification function, which effectively prevents identity theft and illegal signing. The electronic seal technology has seal creation and management function and stamping operation and verification function, which ensures the authority and credibility of documents.

[0012] Specifically, the data collection and integration system includes multi-source data access function and data cleaning and preprocessing function. The multi-source data access function can access data from various systems such as the UAV remote survey module, the intelligent APP front-end and back-end integrated module, and the electronic signature and electronic seal module to achieve comprehensive data collection. The data cleaning and preprocessing function cleans and preprocesses the collected raw data, removing duplicate, erroneous, and irrelevant data, and performing format conversion and standardization to ensure data quality and consistency, enabling the data to be better used for subsequent analysis and visualization.

[0013] Specifically, the data visualization display system includes a visualization interface design and interactive data exploration functions. The visualization interface design displays survey information data in various forms such as maps, charts, and graphs, enabling users to quickly and intuitively understand the overall picture of the survey work. The interactive data exploration function allows users to conduct in-depth exploration and analysis of the data through the interactive functions of the interface, analyze the data from different perspectives, and uncover potential information and patterns.

[0014] Specifically, the data analysis and decision support system includes data mining and analysis functions and decision support functions. The data mining and analysis functions use data mining algorithms and statistical analysis methods to conduct in-depth analysis of big data, predict the future development trend of the survey work, and provide data support for approval decisions. The decision support functions provide decision suggestions and references for approval personnel and managers based on the data analysis results.

[0015] This invention utilizes drone technology to quickly acquire high-definition images and multi-dimensional data over large areas. Drones replace manual labor in conducting site surveys in dangerous areas, ensuring the safety of approval personnel. Through a smart app and cloud system, online site survey applications, video verification, document transfer, and report generation are achieved. Electronic signatures and seals are used to digitize and centrally store approval documents in the cloud system, facilitating real-time access, sharing, and retrieval by various departments. This breaks down information silos and adopts a zero-contact online site survey model. Drones collect data, and approval personnel evaluate based on objective data and models generated by the system, reducing human intervention. By integrating advanced technologies such as drones, smart apps, big data, and AI, the site survey process is comprehensively optimized, addressing many pain points of traditional site survey methods. This achieves efficient, accurate, and transparent site survey management, providing strong support for improving government services and promoting digital transformation. Attached Figure Description

[0016] The invention will be further described with reference to the accompanying drawings, but the contents of the drawings do not constitute any limitation on the invention.

[0017] Figure 1 This is a flowchart of the AI-powered intelligent reconnaissance decision management system based on UAV multi-source image fusion, which is part of the present invention. Detailed Implementation

[0018] The present invention will be further described in conjunction with the following embodiments.

[0019] Example 1. like Figure 1As shown, the AI-powered intelligent reconnaissance decision management system based on UAV multi-source image fusion includes an unmanned remote reconnaissance module. After collecting data, the unmanned remote reconnaissance module transmits it to the intelligent APP front-end and back-end integrated module. After reviewing the data in the intelligent APP front-end and back-end integrated module, it uses the electronic signature and electronic seal module to stamp and verify the data. The unmanned remote reconnaissance module, the intelligent APP front-end and back-end integrated module, and the electronic signature and electronic seal module are all connected to a big data visualization module.

[0020] The system primarily relies on remote drone surveys and a smart app-based integrated front-end and back-end technology to address the issue of repeated on-site surveys. After the system enables online acceptance of survey applications, drones, while performing survey tasks, not only collect high-definition images and video data, but also utilize advanced sensors such as lidar and multispectral cameras to simultaneously acquire diverse data including terrain undulations and ground object reflectance spectra. This data is transmitted in real-time to the system backend via a 5G high-speed network. The high-performance computing unit configured in the backend immediately initiates 3D modeling algorithms to rapidly construct a high-precision 3D model of the surveyed area. Enterprises can verify the survey site online through the smart app and complete the verification process with survey personnel online, eliminating the need for multiple on-site visits by approval personnel from different departments. Simultaneously, the system utilizes electronic signature and electronic seal technologies to digitize and electronicize approval documents, further improving the efficiency and convenience of online surveys. In addition, the system also uses big data visualization technology to present real-time comprehensive survey information for the entire jurisdiction, providing comprehensive support for approval decisions.

[0021] The unmanned remote reconnaissance module consists of hardware and software components that work together. The hardware components include drones, high-definition cameras, sensors, and a positioning system. The drone is the core hardware of the module and is equipped with high-definition cameras, sensors, and a positioning system (such as Beidou navigation and positioning). The camera can capture high-resolution videos and photos, the sensors are used to collect environmental data (such as temperature and humidity), and the positioning system ensures the drone's accurate flight and location tracking.

[0022] The software includes a flight control system with automatic flight path planning capabilities. Based on the needs of the reconnaissance mission, operators can input parameters such as the geographic coordinates of the target area, flight altitude, and shooting angle into the system. The drone will then automatically generate the optimal flight route. In addition, it has the function of real-time monitoring of flight status, including flight speed, altitude, and remaining battery power. It can automatically adjust the flight strategy according to the real-time situation, such as automatically hovering or adjusting the flight attitude when encountering unstable airflow.

[0023] The data acquisition and transmission system controls the drone's camera to collect videos and photos. It can take pictures at preset time intervals or when triggered by events (such as detecting a specific object). Using 5G data transmission technology, the collected data is transmitted in real time to the video reconnaissance conference room on the ground, ensuring high-speed, stable and low-latency data transmission, so that the approval personnel can view the on-site situation in a timely manner.

[0024] The data processing system performs preliminary processing on the transmitted data, including image noise reduction and enhancement, as well as geographic information annotation for videos and photos. It embeds information such as latitude, longitude, and altitude of the shooting location into the data file. The AI ​​analysis module embedded in the system intervenes in real time to perform in-depth scanning and intelligent analysis of the model, accurately capturing various potential hazards such as terrain defects, abnormal building structures, and vegetation cover problems, which facilitates subsequent analysis and archiving.

[0025] By skillfully integrating advanced AI algorithms, computer vision algorithms (such as 3D modeling and feature matching), and machine learning algorithms, this technology enables in-depth and efficient processing and analysis of diverse and complex data. Based on massive amounts of accurate data collected on-site, it can quickly construct high-precision 3D models of the actual scene with highly detailed reproduction and excellent visual effects and measurement accuracy. At the information recognition level, the technology uses the precise calculation of intelligent algorithms to accurately identify key information such as subtle changes in terrain and landforms, unique identifiers of ground features, and complex structures of buildings, achieving a comprehensive digital translation of the on-site situation. Notably, the system's built-in intelligent detection module automatically screens for potential problems in massive amounts of data and 3D models based on preset rules and models, and marks problem areas in an intuitive and eye-catching way, such as using different colors and adding detailed text descriptions, to ensure that even personnel without professional backgrounds can identify potential problems.

[0026] The intelligent APP's integrated front-end and back-end module includes a front-end and a back-end. The front-end includes functional modules such as survey application, task list, real-time survey, data upload, and message notification. The user interface in the front-end provides users with a more convenient and user-friendly operating experience. The interface is simple and intuitive, containing multiple functional modules such as survey application, task list, real-time survey, data upload, and message notification. Users can easily find the functions they need and quickly perform operations.

[0027] The site inspection application function allows users to fill out a site inspection application form on the app, and enter detailed information such as project name, address, site inspection type (e.g., architectural engineering, municipal engineering, etc.), site inspection time requirements, etc., and upload relevant project materials (e.g., planning drawings, design documents, etc.) as application attachments to ensure that the approvers can fully understand the project situation.

[0028] The real-time site survey function allows users to communicate remotely with survey staff through the app's real-time video function during the site survey. The app can access the phone's camera, allowing companies to capture and upload images of the site in real time. It also supports voice communication and text chat, facilitating communication of details between both parties and ensuring the smooth progress of the site survey.

[0029] The document upload and viewing function allows companies to upload rectified documents on the APP at any time, and approval personnel can also view the documents submitted by companies in a timely manner, realizing rapid information exchange and ensuring the continuity of the site survey work.

[0030] The push notification and message function promptly sends important information to enterprises regarding the progress of site surveys, such as application review results, site survey schedules, and rectification suggestions, ensuring that enterprises can keep abreast of the site survey dynamics and prepare in advance.

[0031] The backend includes modules for task assignment, video conferencing, document review, and report generation. Approving personnel can comprehensively manage the site survey work through this interface, which features modules for task assignment, video conferencing, document review, and report generation, enabling them to carry out various tasks efficiently.

[0032] Task allocation and scheduling function: Based on the nature, urgency, and workload of the survey tasks, the survey tasks can be reasonably allocated to the relevant approvers and experts. At the same time, the tasks can be adjusted and scheduled according to the actual situation. For example, if the workload is too large or an emergency occurs, the tasks can be reassigned in a timely manner to ensure the efficient and orderly progress of the survey work.

[0033] Video conferencing and review functions: Approving personnel and experts can conduct remote video site visits with users through the video conferencing system. During the meeting, they can view the on-site videos and photos uploaded by the company in real time, and conduct detailed verification of various approval indicators on-site. Experts can evaluate specific site visit items online and provide professional opinions. The system supports screen sharing, file transfer, and meeting recording during the meeting, which facilitates better communication and analysis between approving personnel and experts.

[0034] Document review and management functions: The system reviews and manages various documents uploaded by enterprises and site survey personnel. Approving personnel can view, download, and annotate these documents to ensure their completeness and accuracy. At the same time, the system categorizes, stores, and manages the documents for easy retrieval and archiving later.

[0035] Verification report generation function: Based on the site visit results and review status, the system automatically generates a verification report. The report includes basic site visit information (such as project name, address, site visit time, etc.), description of the site conditions, verification results of various approval indicators, expert opinions, rectification suggestions, and other detailed information. After the report is generated, the approvers can review and modify it to ensure the accuracy and standardization of the report.

[0036] The electronic signature and electronic seal module has an identity authentication function, which uses multiple identity authentication methods such as digital certificates, fingerprint recognition, and facial recognition to ensure that the identity of the person signing the electronic document is real and reliable. Before signing, the system will conduct strict identity verification of the user. Only users who pass the verification can perform electronic signature operations, effectively preventing identity theft and illegal signing.

[0037] Signature generation and verification function: Based on encryption algorithms, unique electronic signatures are generated. Each electronic signature is closely associated with the signer's identity information and the content of the document. During the file transmission and storage process, the system can verify the electronic signature at any time to ensure the authenticity and integrity of the document. Once the document is tampered with, the electronic signature will fail verification, thus ensuring the credibility of the document.

[0038] Electronic seal technology has seal creation and management functions: it can create legally valid electronic seals, including approval seals and official seals of organizations, and strictly manage the entire process of electronic seal creation, issuance, use, and deactivation to ensure the security and legal use of electronic seals. Each electronic seal has a unique identifier and key to prevent seals from being forged and abused.

[0039] Stamping and Verification Functions: Electronic stamping is performed on approval documents. Stamped documents have the same legal effect as paper documents. The system records information such as the time, person, and document being stamped, enabling traceability of the stamping process. At the same time, an electronic seal verification function is provided, allowing users to verify the authenticity and validity of the electronic seal on the document, ensuring the authority and credibility of the document.

[0040] The big data visualization module is divided into a data collection and integration system, a data visualization display system, and a data analysis and decision support system.

[0041] The data collection and integration system has multi-source data access capabilities: it can access data from various systems such as the UAV remote survey module, the smart APP front-end and back-end integrated module, and the electronic signature and electronic seal module, including various types of data such as video, audio, images, text, and electronic documents. At the same time, it can also integrate other relevant data sources, such as geographic information system (GIS) data and enterprise credit data, to achieve comprehensive data collection.

[0042] Data cleaning and preprocessing functions: Clean and preprocess the collected raw data, remove duplicate, erroneous and irrelevant data, and perform format conversion and standardization to ensure data quality and consistency. For example, edit and compress video data captured by drones, and encode and convert text data to make the data better usable for subsequent analysis and visualization.

[0043] The data visualization system features a visual interface design: it adopts an intuitive and aesthetically pleasing visual interface design to display survey information data in various forms such as maps, charts, and graphs. For example, it marks the geographical location of each survey project on the map, displays the trend of changes in the number of survey tasks through bar charts and line charts, and displays the hot spots of survey work through heat maps, so that users can quickly and intuitively understand the overall picture of the survey work.

[0044] Interactive data exploration function: Users can explore and analyze data in depth through the interactive functions of the interface. For example, users can click on a certain area on the map to view detailed survey information for that area, including a list of survey projects, detailed information for each project, survey results, etc. Users can also zoom, filter, sort and perform other operations on the charts to analyze the data from different perspectives and uncover potential information and patterns.

[0045] The data analysis and decision support system has data mining and analysis functions: it uses data mining algorithms and statistical analysis methods to conduct in-depth analysis of big data. For example, through cluster analysis, it classifies similar survey projects and discovers the commonalities and characteristics of the projects; through correlation analysis, it explores the correlation between different survey indicators and identifies the key factors affecting the survey results; and through trend analysis, it predicts the future development trend of survey work and provides data support for approval decisions.

[0046] The data analysis and decision support system has decision support functions: based on the data analysis results, it provides decision suggestions and references for approval personnel and managers. For example, it can rationally plan the allocation of survey resources based on the geographical distribution and type characteristics of the survey project; optimize survey standards and processes based on the analysis results of survey indicators; and make advance plans and preparations for survey work based on trend predictions, thereby improving the scientific nature and accuracy of the approval process.

[0047] This invention utilizes drone technology to quickly acquire high-definition images and multi-dimensional data over large areas. Drones replace manual labor in conducting site surveys in dangerous areas, ensuring the safety of approval personnel. Through a smart app and cloud system, online site survey applications, video verification, document transfer, and report generation are achieved. Electronic signatures and seals are used to digitize and centrally store approval documents in the cloud system, facilitating real-time access, sharing, and retrieval by various departments. This breaks down information silos and adopts a zero-contact online site survey model. Drones collect data, and approval personnel evaluate based on objective data and models generated by the system, reducing human intervention. By integrating advanced technologies such as drones, smart apps, big data, and AI, the site survey process is comprehensively optimized, addressing many pain points of traditional site survey methods. This achieves efficient, accurate, and transparent site survey management, providing strong support for improving government services and promoting digital transformation.

[0048] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. An AI-powered intelligent reconnaissance decision management system based on UAV multi-source image fusion, characterized by: It includes an unmanned remote survey module, which collects data and transmits it to a smart APP front-end and back-end integrated module. After reviewing the data, the smart APP front-end and back-end integrated module uses an electronic signature and electronic seal module to stamp and verify the data. The unmanned remote survey module, the smart APP front-end and back-end integrated module, and the electronic signature and electronic seal module are all connected to a big data visualization module. The unmanned remote reconnaissance module consists of hardware and software components that work together. The hardware components include a drone, a high-definition camera, sensors, a lidar, multispectral camera data, and a positioning system. The software components include a flight control system, a data acquisition and transmission system, and a data processing system. The intelligent APP front-end and back-end integrated module includes a front-end and a back-end. The front-end includes modules for survey application, task list, real-time survey, data upload and message notification. The backend includes modules for task allocation, video conferencing, document review, and report generation. The big data visualization module is divided into a data collection and integration system, a data visualization display system, and a data analysis and decision support system.

2. The AI-powered intelligent reconnaissance decision management system based on UAV multi-source image fusion as described in claim 1, characterized in that: The hardware components include a camera that can capture high-resolution videos and photos, sensors that collect environmental data such as temperature and humidity, and a positioning system that ensures accurate flight and location tracking of the drone.

3. The AI-powered intelligent reconnaissance decision management system based on UAV multi-source image fusion according to claim 2, characterized in that: The flight control system in the software section has an automatic flight path planning function. According to the requirements of the reconnaissance mission, the operator can input the target area parameters into the system, and the UAV will automatically generate the optimal flight route accordingly. The data acquisition and transmission system controls the drone's camera to acquire videos and photos. It can take pictures according to preset time intervals or events. Using 5G data transmission technology, the acquired data is transmitted in real time, ensuring high-speed, stable and low-latency data transmission. The data processing system performs preliminary processing on the transmitted data, including image noise reduction and enhancement, as well as geographic information annotation for videos and photos. It embeds the latitude, longitude, and altitude information of the shooting location into the data files for easy subsequent analysis and archiving. The embedded AI analysis module intervenes in real-time to perform multi-dimensional analysis of the drone's transmitted imagery and modeling data. This AI analysis module can identify ground features, quickly distinguish between different elements such as buildings, roads, farmland, and water bodies, and determine whether they meet approval requirements based on preset survey standards and specifications. The AI ​​analysis module can also intelligently assess terrain features, such as whether the slope meets construction standards and whether there are potential geological hazards. Once a problem is detected, the AI ​​analysis module can automatically associate it with relevant approval indicators to accurately locate the problem.

4. The AI-powered intelligent reconnaissance decision management system based on UAV multi-source image fusion according to claim 3, characterized in that: The front-end site survey application function allows users to fill out a site survey application form on the APP, input detailed requirements, and upload relevant project materials to gain a comprehensive understanding of the project situation. The real-time site survey function allows for remote communication via the app's real-time video function, enabling users to capture and upload images of the site in real time, facilitating communication on details and ensuring the smooth progress of the site survey. The document upload and viewing function allows users to upload rectified documents at any time via the APP, enabling timely submission of documents, rapid information exchange, and ensuring the continuity of the site survey work. The push notification and message function can promptly push the progress of the survey task, ensuring that the survey dynamics can be grasped in a timely manner and preparations can be made in advance.

5. The AI-powered intelligent reconnaissance decision management system based on UAV multi-source image fusion according to claim 4, characterized in that: The backend includes task allocation and scheduling functions, which can reasonably allocate survey tasks according to the survey task situation, and adjust and schedule tasks according to the actual situation to ensure that the survey work is carried out efficiently and in an orderly manner. The video conferencing and review function allows for remote video site visits through the video conferencing system. During the meeting, on-site videos and photos can be viewed in real time, and various approval indicators can be verified in detail, facilitating better communication and analysis between approvers and experts. The document review and management function allows users to review and manage various uploaded documents, view, download, and annotate them to ensure their completeness and accuracy. The system also categorizes, stores, and manages the documents for easy retrieval and archiving later. The verification report generation function automatically generates a verification report based on the site survey results and review status. After the report is generated, approvers can review and modify it to ensure the accuracy and standardization of the report.

6. The AI-powered intelligent reconnaissance decision management system based on UAV multi-source image fusion according to claim 5, characterized in that: The electronic signature and electronic seal module incorporates electronic signature technology and electronic seal technology. The electronic signature technology includes identity authentication and signature generation and verification functions, effectively preventing identity theft and illegal signing. The electronic seal technology includes seal creation and management functions, as well as stamping operation and verification functions, ensuring the authority and credibility of documents.

7. The AI-powered intelligent reconnaissance decision management system based on UAV multi-source image fusion according to claim 6, characterized in that: The data collection and integration system includes multi-source data access function and data cleaning and preprocessing function. The multi-source data access function can access data from various systems such as the UAV remote survey module, the smart APP front-end and back-end integrated module, and the electronic signature and electronic seal module to achieve comprehensive data collection. The data cleaning and preprocessing function cleans and preprocesses the collected raw data, removing duplicate, erroneous, and irrelevant data, and performing format conversion and standardization to ensure data quality and consistency, enabling the data to be better used for subsequent analysis and visualization.

8. The AI-powered intelligent reconnaissance decision management system based on UAV multi-source image fusion according to claim 7, characterized in that: The data visualization display system includes a visualization interface design and interactive data exploration functions. The visualization interface design displays the survey information data in various forms such as maps, charts, and graphics, enabling users to quickly and intuitively understand the overall picture of the survey work. The interactive data exploration function allows users to conduct in-depth exploration and analysis of the data through the interactive functions of the interface, analyze the data from different perspectives, and uncover potential information and patterns.

9. The AI-powered intelligent reconnaissance decision management system based on UAV multi-source image fusion according to claim 8, characterized in that: The data analysis and decision support system includes data mining and analysis functions and decision support functions. The data mining and analysis functions use data mining algorithms and statistical analysis methods to conduct in-depth analysis of big data, predict the future development trend of the survey work, and provide data support for approval decisions. The decision support functions provide decision suggestions and references to approval personnel and managers based on the data analysis results.

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