Platform and method for realizing social comprehensive treatment by using unmanned aerial vehicle

Abstract

The invention discloses a platform for realizing comprehensive social governance by using an unmanned aerial vehicle. The platform comprises an unmanned aerial vehicle airport, the unmanned aerial vehicle, an unmanned aerial vehicle scheduling and flight control management unit and a data storage analysis and task sending unit. The method for carrying out social comprehensive treatment by utilizing the platform comprises the following steps: S1, issuing an instruction by the data storage analysis and task sending unit; s2, after receiving the instruction information, scheduling the distributed unmanned aerial vehicle field and the unmanned aerial vehicles thereof, planning a flight route, and instructing the unmanned aerial vehicles to take off and inspect; s3, the unmanned aerial vehicle group collects information in the flight patrol process and sends the information back to the data storage analysis and task sending unit through the network; and S4, the data storage analysis and task sending unit comprehensively judges the information by means of an artificial intelligence model and gives an inspection result report. According to the technical scheme, through improvement of all technical points, the complexity of the system is reduced, the use experience is optimized, the overall performance is improved, and the system is more efficient, convenient and reliable.

Description

Technical Field

[0001] The present invention belongs to the field of social management and governance technology. Its core lies in fully combining the recent development of drone technology with the realization of comprehensive social governance solutions. The relevant data information is obtained by collecting comprehensive social information with the help of drones, and then analyzed on this basis to realize the function of comprehensive social governance, that is, a platform and method for realizing comprehensive social governance using drones. Background Art

[0002] Social management has existed with the emergence of urban society formed by human aggregation. With the rapid increase in the concentration of human urban society, social management and governance have gradually become more complex and integrated, that is, extending from the original single management governance to comprehensive multi-field and multi-faceted complex governance. For example, many challenges in current social governance, such as regulatory loopholes in urban-rural fringe areas, difficulties in environmental pollution control, imperfect emergency response mechanisms, and real-time status of urban traffic, have been related and coupled together, which has also put forward higher requirements for comprehensive social governance.

[0003] With the revolution and progress of science and technology, how to apply technological development in social governance and realize information automation and efficiency improvement is also a topic in social governance. With the rapid development of modern science and technology, drone technology has been widely used in many industries and fields, such as logistics distribution, farmland monitoring, urban planning, and emergency rescue. In recent years, with the integration of advanced technologies such as artificial intelligence, big data, and 5G networks, the potential of drones in social governance has gradually become prominent. Through real-time monitoring and data collection of drones in areas such as urban management, security patrols, environmental monitoring, and infrastructure maintenance, governance efficiency can be improved and human resource consumption can be reduced.

[0004] Modern social comprehensive governance is a process of rapid information integration and response. Although drone technology can efficiently obtain real-time information in urban governance, the analysis, organization, judgment and decision-making of these information data will involve the processing of massive data. How to combine intelligent control, remote control and data analysis functions to improve the level of urban management automation, optimize emergency response speed, and reduce manual operation risks and errors is the key to social comprehensive governance.

[0005] Although drone inspections for information collection have been widely used, there are still many defects and deficiencies in the field of social governance, as follows: (1) Insufficient autonomy: Most current drone social governance platforms rely on manual control. The flight path, mission planning and data processing of drones all require a lot of manual intervention. This approach not only increases operating costs, but also limits the application of drones in large-scale and complex environments; (2) Low level of intelligence: Existing platforms are deficient in intelligent data processing and decision-making. Although drones can collect a large amount of data, how to efficiently process this data, analyze and make real-time decisions still relies on manual labor, making it difficult to truly realize the autonomous operation and automation of drone governance; (3) Poor system integration: Most of the current drone governance systems operate independently and lack effective integration with other urban management systems. For example, data between different systems such as environmental monitoring, traffic management, and security patrols cannot be efficiently shared, resulting in information islands, which is not conducive to the comprehensiveness and coordination of social governance; (4) Network coverage and communication limitations: The real-time control and data transmission of drones depend on the network coverage. The existing 4G / 5G networks are unable to provide stable communication support in some remote areas or city corners with poor signals, resulting in the risk of interruption of drone flights and mission execution; (5) Security and privacy protection issues: Drones collect a large amount of images and data during their missions, which involves public privacy and data security issues. The existing technology has insufficient protection mechanisms for these issues, and there is a risk of data leakage or exploitation.

[0006] At the same time, with the rapid development of artificial intelligence technology, introducing artificial intelligence data analysis models into comprehensive social governance can also make governance plan decisions more efficient. Summary of the invention

[0007] In order to solve the problems of efficient information acquisition, analysis and decision-making in social comprehensive governance, this application integrates drone information collection, comprehensive information classification to build big data models for different scenarios and exchange with other urban management information, thereby constructing a platform for social comprehensive governance using drones and a method for social comprehensive governance using the platform. The technical solution to achieve the above invention purpose is: a platform for social comprehensive governance using drones, the platform includes:

[0008] Drone airports and drones are used to take off, land and charge drones. The drone airport here is a distributed drone airport, which can be linked to the system for management after registration on the platform.

[0009] UAV dispatching and flight control management unit, which communicates with the UAV to achieve flight control and dispatching management;

[0010] The data storage, analysis and task sending unit stores and analyzes the information collected by the drone, uses artificial intelligence to make preliminary automatic decision tasks, and then sends the tasks to the drone scheduling and flight control management unit.

[0011] The above-mentioned drone airport, drone, drone dispatch and flight control management unit and data storage analysis and task sending unit transmit data information wirelessly.

[0012] The above-mentioned data storage analysis and task sending unit is also interconnected through the network with environmental data platforms including but not limited to urban management, land construction information, and urban alarm information platforms.

[0013] The platform of the present application can also be accessed through the network with the authorization of the user to query its status.

[0014] The social comprehensive governance platform of this application combines intelligent control, remote control and data analysis functions, aiming to improve the automation level of urban management, optimize emergency response speed, and reduce manual operation risks and errors. By integrating a variety of advanced technologies, the platform provides comprehensive urban monitoring, dynamic management and efficient execution capabilities, playing a positive role in a wide range of social governance scenarios.

[0015] With the help of the completed social comprehensive governance platform, complete and comprehensive social comprehensive governance can be achieved, and its steps include:

[0016] S1, the data storage analysis and task sending unit sends instructions to the UAV dispatch and flight control management unit through the network;

[0017] S2. After receiving the command information, the UAV dispatching and flight control management unit dispatches the distributed UAV airport and its UAVs according to its requirements, plans the flight route, and instructs the UAVs to take off and patrol. Since the UAV airport and UAVs are openly distributed, any airport and its UAVs can receive instructions and perform flight patrol missions after registration.

[0018] S3, the drone group collects but is not limited to image and sound information during the flight patrol, and sends it to the data storage analysis and task sending unit through the network;

[0019] S4, the data storage analysis and task sending unit uses artificial intelligence to make a comprehensive judgment on the information based on the information in step S3, and analyzes and gives its inspection result report and decision.

[0020] In the above method, after receiving the information data transmitted by the drone, the data storage analysis and task sending unit classifies the data according to the social comprehensive governance scenario, which includes but is not limited to social security, traffic violation supervision, traffic flow statistics, campus safety protection, fire safety emergency channel occupation, business occupation, enterprise safety supervision, land inspection, reserve land supervision, environmental monitoring, river danger inspection, pile monitoring in front of and behind houses, fireworks monitoring, illegal building monitoring, crop supervision, forest inspection, road inspection, geological exploration, and logistics distribution. The data storage analysis and task sending unit constructs a corresponding artificial intelligence scenario unit module based on the information data of different scenarios, and the module is updated and autonomously learned according to the real-time data of the drone, thereby improving the accuracy of the model.

[0021] In order to achieve comprehensive social governance decision-making, the data storage, analysis and task sending unit is also connected to the information center of the urban management unit to obtain the information released by it in real time, and match the information to each artificial intelligence scenario unit module for comprehensive analysis.

[0022] The present invention has made significant optimizations by targeting the defects and shortcomings of the prior art and combining the improvements of multiple technical solutions, effectively improving the autonomy, intelligence, integration and safety of the system. Specifically, the lack of autonomy in the prior art has led to a large reliance on manual labor for drone operations, increasing operating costs and task complexity. The present invention has greatly improved autonomy by introducing drone cluster scheduling and intelligent flight control systems. Drones can perform complex tasks without human intervention, reducing manpower input and operating costs, and optimizing the system structure and simplifying the use process. Intelligent scheduling makes the system more efficient and reduces potential errors caused by human operation.

[0023] In view of the low level of intelligence in the prior art, the present invention realizes real-time data processing and automated decision-making by integrating intelligent flight control and data acquisition and analysis systems. The data collected by the drone can be instantly transmitted to the algorithm platform for analysis, and the system can automatically identify and handle abnormal situations. This highly intelligent processing not only improves the accuracy of task execution, but also reduces the manual participation link, improves the management efficiency, and ensures high precision in the processing process. The improvement of the intelligence level not only optimizes the system performance, but also enhances the convenience of use.

[0024] In terms of system integration, existing technologies often have problems with coordination between different management systems, and lack a unified management interface for data sharing and task scheduling. The present invention realizes data sharing and collaborative operations among multiple systems through the platform's open API interface, significantly improving system compatibility and scalability. Different social governance systems can communicate data, share resources and work together, which not only improves the efficiency of the entire system, but also reduces maintenance costs and technical complexity.

[0025] Unstable network communication and limited drone endurance are also bottlenecks in the existing technology. The present invention realizes real-time power monitoring and intelligent endurance management through the energy management and endurance optimization system, ensuring that the drone will not be interrupted due to insufficient energy during the task execution. At the same time, the system is designed with automatic charging and drone relay mechanisms to make the execution of tasks more continuous and stable. This improvement not only improves the performance of the system, but also reduces the risk of task interruption due to equipment problems, ensuring an efficient operation process.

[0026] In response to the problem of insufficient data security and privacy protection, this invention strengthens data encryption and access control technology to ensure the security of drone-collected data. Through this improvement, the system greatly improves data transmission security, reduces the risk of information leakage, and makes the platform more reliable and trustworthy, especially in public governance and sensitive data processing, with extremely high practical application value.

[0027] The drone auxiliary system of the entire platform can realize a monitoring network that covers urban and rural areas. It can not only maintain efficient patrol capabilities in complex urban and rural environments, but also achieve precise governance at night and in bad weather through thermal imaging and optical zoom technology. Drones can automatically monitor air quality, collect pollution data in real time, and transmit abnormal data back to the platform by carrying environmental sensors, so as to quickly make environmental governance decisions. Especially in the inspection of illegal buildings and illegal land use, it has achieved effective coverage of urban and rural boundaries and remote areas, reduced the cost of manpower patrol, and supported precise law enforcement through image acquisition and position calibration. In terms of information linkage, this application platform can quickly complete the investigation task after receiving the alarm through the automatic take-off and task execution mechanism of drones, and transmit the images and location information of emergency events such as fires in real time, thereby improving the efficiency of emergency response. Through task closed-loop management, the entire platform integrates drone inspections, abnormal reporting, on-site processing and case closure feedback into the same platform to ensure that every social governance event is handled in a timely and effective manner. Therefore, the technical solution of this application not only reduces the complexity of the system and optimizes the user experience through various technical improvements, but also greatly improves the overall performance, making the system more efficient, convenient, and reliable. At the same time, it has lower cost and higher production quality, and is suitable for wide application in the field of social governance. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is the process framework of the method for achieving comprehensive social governance using drones proposed in this application. DETAILED DESCRIPTION

[0029] In order to more clearly explain and illustrate the technical solution of the present application, a specific real-time method is used for supplementary explanation. Figure 1The process framework of the method for realizing social comprehensive governance by using drones in this application is given. First of all, the entire social comprehensive governance platform includes drone groups and airports. Users need to register drones to the platform. After registration is completed, the platform will obtain detailed information of airport equipment. The platform incorporates the airport into the unified management of the platform through the organizational management function to realize the centralized scheduling and control of equipment information. The core implementation principle is that when the user chooses to register an airport on the platform, the system will automatically create a new EMQX message queue. When accessing the airport, the user needs to enter the address of the message queue into the device configuration, and the airport will then listen to the message data in the message queue. Once the data model recognizable by the device, such as mission instructions, take-off instructions, landing points, flight speed and other parameters, is transmitted in the message queue, the aircraft will perform the corresponding tasks according to these instructions. Through this mechanism, the task execution and flight control of the airport are completely centrally managed by the platform. Subsequently, the drone scheduling and flight control management unit of the platform issues specific flight missions to the airport and commands the drone to perform tasks according to the set flight parameters. The drone automatically performs flight missions according to mission parameters such as flight path, destination, speed, etc. At the same time, the real-time picture of the drone is transmitted to the platform algorithm processing module in the form of a video stream. In the algorithm platform, the system uses image processing algorithms to analyze video streams in real time. When the algorithm identifies a marker with a high degree of similarity to the training material in the picture, the system will mark it with an exception box. The marker may match the governance rules or abnormal events preset by the platform, such as illegal buildings, illegal gatherings, floating objects in rivers, and domestic garbage. After identifying the abnormality, the algorithm platform will report the annotation results to the platform for subsequent processing and analysis. After data storage analysis and analysis by the task sending unit, the platform will give an abnormality report. The specific information of the report includes the latitude and longitude of the incident, the type of marker, etc., which will be pushed to the governance staff. According to the information pushed by the platform, the staff can go to the scene to handle the incident. After the processing is completed, the staff will upload the on-site photos or other supplementary data to the platform to form a complete task closed loop. Through the task closed loop processing, the entire process of the case from the discovery of the abnormality by the drone to the on-site processing by the staff to the case closing can be fully recorded on the platform. This closed-loop management model not only improves the efficiency of social governance, but also ensures the standardization and transparency of case handling.

[0030] The comprehensive governance process of the entire platform is as follows: Figure 1 As shown:

[0031] Step 1: Device registration and message queue creation. First, register the drone and the airport to the governance platform, and the platform automatically generates the EMQX message queue corresponding to the MQTT protocol. The drone and airport equipment configure the message queue address and listen to the control instructions in the message queue;

[0032] Step 2: Mission issuance and flight control. The platform issues specific mission instructions to the device based on mission requirements, including takeoff, flight path, speed, destination, etc. The drone automatically executes the mission based on the data model in the message to ensure the accuracy and efficiency of flight operations.

[0033] Step 3: Real-time data collection and anomaly detection. During the execution process, the drone transmits the collected real-time video stream to the algorithm platform. The algorithm platform intelligently analyzes the video based on the training model of the preset markers, detects and marks anomalies, and reports the results to the platform.

[0034] Step 4: Task closed-loop processing. When the platform receives an abnormal report, it pushes the task to the relevant staff. The staff will handle the abnormal latitude and longitude information on the spot and upload the processing results to the platform to complete the closed-loop operation.

[0035] The hardware construction of the platform includes drone airport, drones, sensors and platform servers. The detailed description of each component is as follows:

[0036] Drone airport: The main function of the airport is the take-off and landing and dispatch management of drones. The equipment is in the shape of a rectangular platform with a drone parking area and a wireless charging port. The airport is connected to the message queue of the smart flight control platform, receives flight instructions from the platform, and transmits the instructions to the parked drones to ensure that the drones can take off and land on time according to mission requirements;

[0037] Drones: Drones are equipped with a variety of sensors, including high-definition cameras, thermal imagers, radars, etc., for data collection and environmental monitoring. During flight, drones collect environmental information through sensors and transmit data to the platform in real time. The structure of the drone includes a quadcopter, fuselage, battery, and data transmission module. Its compact shape ensures a balance between flight flexibility and endurance.

[0038] Sensor: The sensor module is installed under the drone and is mainly used for data collection. The camera is used to collect video streams, the radar is used for distance measurement and obstacle avoidance, and the sensor is connected to the drone's power system to ensure that the sensor can continue to work throughout the flight.

[0039] Platform server: The Smart Flight Control Platform performs task management and data processing through a cloud server. The server is mainly used to store message queues, task instructions, and analyze the data stream transmitted by the drone. The server adopts a high-performance computing architecture and supports large-scale data parallel processing. The communication between the server and the DJI Airport 2 and the drone relies on the 5G / 4G network to ensure the real-time transmission of data and the coordination of task execution.

[0040] Each component is interconnected through a wireless network to form a complete drone management and execution system. The drone airport serves as the ground base station of the drone, receives the task instructions from the platform server, and sends the task to the drone through the EMQX message queue. After receiving the task, the drone flies according to the set flight path and parameters, and collects environmental data through cameras and other sensors and transmits it to the platform server. The platform server combines artificial intelligence algorithms to analyze the video stream, automatically detect abnormal situations, and push the results to the corresponding management personnel to complete the task closed-loop processing.

[0041] The components exchange data through efficient communication protocols to ensure the continuity and stability of task execution. The operating principle of the entire system is based on the message queue, combined with the drone's automated flight and data collection functions to achieve fully automatic social governance task execution.

[0042] The working process is that users issue tasks through the platform, and the platform issues instructions to the drone airport through the message queue. The drones in the airport take off and perform flight operations according to the task requirements. During the flight, the drones transmit the collected real-time data back to the platform server through the 5G network. The server processes and analyzes the algorithm and identifies abnormal situations. The platform pushes the processing results to the management personnel, and the personnel upload the feedback after arriving at the scene to form a closed loop for case processing.

[0043] Through the above specific implementation methods, the present invention significantly improves the application efficiency and intelligence level of drones in social governance, reduces labor costs, and at the same time achieves accurate and efficient task execution and governance effects.

[0044] Although the embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and cannot be understood as limiting the technical solutions of the present invention. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the technology of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the technical solution of this application shall be included in the protection scope of this patent.

Claims

1. A platform for realizing comprehensive social governance using drones, characterized in that: The platform includes: Drone airports and drones are used to take off, land and charge drones; UAV dispatching and flight control management unit, which communicates with the UAV to achieve flight control and dispatching management; The data storage, analysis and task sending unit stores and analyzes the information collected by the drone, uses artificial intelligence to make preliminary automatic decision tasks, and sends the tasks to the drone scheduling and flight control management unit.

2. The platform for realizing comprehensive social governance by using drones according to claim 1 is characterized in that: The drone airport is a distributed drone airport. Any airport and drone can be linked to the system and managed after registering on the platform.

3. The platform for realizing comprehensive social governance by using drones according to claim 1, characterized in that: Data information is transmitted wirelessly between drone airports, drones, drone dispatching and flight control management units, and data storage analysis and task sending units.

4. The platform for realizing comprehensive social governance by using drones according to claim 1, characterized in that: The data storage analysis and task sending unit is also interconnected through the network with environmental data platforms including but not limited to urban management, land construction information, and urban alarm information platforms.

5. The platform for realizing comprehensive social governance by using drones according to claim 1, characterized in that: The platform can also be accessed through the network by authorized users to query its status.

6. A method for implementing comprehensive social governance using the platform of claim 1, characterized in that: The method comprises the following steps: S1, the data storage analysis and task sending unit sends instructions to the UAV dispatch and flight control management unit through the network; S2, the UAV dispatching and flight control management unit receives the command information, dispatches the UAVs in the distributed UAV field according to its requirements, plans the flight routes, and instructs the UAVs to take off and patrol; S3, the drone group collects information including but not limited to images and sounds during the flight patrol, and sends it back to the data storage analysis and task sending unit through the network; S4, the data storage analysis and task sending unit uses artificial intelligence to make a comprehensive judgment on the information collected in step S3, and analyzes and gives its inspection result report and decision.

7. The method for realizing comprehensive social governance by using drones according to claim 6, characterized in that: The drone airport and drones are open and can receive instructions after registration to perform flight patrol missions.

8. The method for realizing comprehensive social governance by using drones according to claim 6, characterized in that: After receiving the information data transmitted by the drone, the data storage analysis and task sending unit classifies the data according to the social comprehensive governance scenario. The classification scenario includes but is not limited to social security, traffic violation supervision, traffic flow statistics, campus safety protection, fire safety emergency channel occupation, business occupation of the road, enterprise safety supervision, land inspection, reserve land supervision, environmental monitoring, river hazard inspection, house front and back pile monitoring, fireworks monitoring, illegal building monitoring, crop supervision, forest inspection, road inspection, geological exploration, and logistics distribution.

9. The method for realizing comprehensive social governance by using drones according to claim 8, characterized in that: The data storage analysis and task sending unit constructs the corresponding artificial intelligence scene unit module according to the data information of different scenes. The module is updated and autonomously learned according to the real-time data of the drone.

10. The method for realizing comprehensive social governance by using drones according to claim 8, characterized in that: The data storage, analysis and task sending unit is also connected to the information center of the urban management unit to obtain the information it releases in real time, and match the information to each artificial intelligence scene unit module for comprehensive analysis.

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