Security management method and system based on artificial intelligence and big data
By introducing artificial intelligence and big data technology into security management, the problems of inefficient traditional security management methods, limited monitoring scope and insufficient data processing capabilities are solved, efficient and intelligent security inspection and management are achieved, and the overall security management level is improved.
Patent Information
- Application Number
- CN202411846151.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-16
- Publication Date
- 2025-04-08
- Estimated Expiration
- 2044-12-16
AI Technical Summary
Traditional security management methods are inefficient, have limited monitoring scope, insufficient data processing capabilities, lack of intelligent management, and difficult to trace and locate problems, making it difficult to effectively deal with complex security threats.
The security management method based on artificial intelligence and big data is adopted, and the inspection sequence and scope information is generated through the security inspection point management module, the security inspection scope is divided, the inspection task information is obtained and tasks are assigned. The cloud data server and inspection module are used for data collection and comparison, and intelligent inspection path planning and task allocation are realized.
It improves inspection efficiency, expands the monitoring scope, enhances data processing capabilities, realizes intelligent management, facilitates traceability and positioning problems, reduces labor costs, and improves the overall safety management level.
Smart Images

Figure CN119295286B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of security, and in particular to a security management method and system based on artificial intelligence and big data. Background Art
[0002] Traditional security management methods often rely on manual patrols and simple monitoring equipment, which is not only inefficient, but also difficult to fully cover all potential security risk points. Especially in complex environments such as large enterprises, industrial parks, and public places, the workload of security inspections is huge, and the professional ability and sense of responsibility of inspectors are extremely high. Any negligence may cause immeasurable losses.
[0003] Traditional safety management methods have the following main problems:
[0004] Low inspection efficiency: Manual inspection takes a lot of time and is greatly affected by human factors, such as inspection speed and concentration, which leads to low inspection efficiency and makes it difficult to achieve timely and effective monitoring of all safety inspection points.
[0005] Limited monitoring scope: Although traditional monitoring equipment can reduce the manual burden to a certain extent, its monitoring scope is limited and there are often blind spots, which cannot fully cover all security risk points.
[0006] Insufficient data processing capabilities: Even with advanced monitoring equipment, massive amounts of monitoring data still need to be screened and analyzed manually, which is not only time-consuming and labor-intensive, but also easy to miss important information due to human negligence.
[0007] Lack of intelligent management: Traditional security management methods lack intelligent means and cannot dynamically adjust inspection strategies according to real-time conditions, making it difficult to respond to emergencies and complex and changing security threats.
[0008] Difficulty in tracing and locating problems: When a safety accident or hidden danger occurs, traditional methods often make it difficult to quickly and accurately trace the source of the problem, which brings great difficulties to accident handling and hidden danger investigation. Summary of the invention
[0009] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a security management method based on artificial intelligence and big data, comprising the following steps:
[0010] Step 1: The security inspection point management module generates an initial sequence of security inspection points based on the security inspection point information, and obtains security inspection range information based on the initial sequence of security inspection points;
[0011] Step 2: divide the safety inspection range according to the inspection range of the inspection module to obtain multiple sub-safety inspection ranges, and obtain the safety inspection point sequence of the corresponding sub-safety inspection range according to the safety inspection points included in each sub-safety inspection range. All the safety inspection point sequences of the corresponding sub-safety inspection ranges constitute the safety inspection point inspection sequence;
[0012] Step 3: Obtain inspection module information and inspection task information, and obtain inspection allocation information according to the inspection task information and the inspection sequence of the safety inspection points. If the inspection category in the inspection allocation information is a single inspection, proceed to step 4; if it is a cross inspection, proceed to step 5;
[0013] Step 4: The cloud data server distributes the inspection information in the inspection allocation information to the inspection module. The inspection module executes the received inspection information. The inspection module collects inspection information according to the safety inspection point sequence of the corresponding sub-safety inspection range in the inspection information, and sends the collected inspection information to the cloud data server for consistency comparison. If they are consistent, the inspection information of the next sub-safety inspection range is collected, and step 7 is entered; otherwise, an alarm is issued for the inconsistent sub-safety inspection range;
[0014] Step 5: The cloud data server generates first inspection allocation information according to the inspection information and inspection module information in the inspection allocation information; the inspection module collects inspection information according to the safety inspection point sequence of the corresponding sub-safety inspection range in the inspection information, obtains first inspection data, and sends the collected first inspection data to the cloud data server; after the cloud data server receives all the first inspection data, it proceeds to step 6;
[0015] Step 6: The cloud data server generates second inspection allocation information according to the first inspection allocation information, and distributes the safety inspection point sequence of the corresponding sub-safety inspection range in the second inspection allocation information to the inspection module. The inspection module collects inspection information to obtain second inspection data. The cloud data server matches and verifies the collected second inspection data with the first inspection data. If the first inspection data and the second inspection data of the same sub-safety inspection range are consistent, the inspection is completed and the process goes to step 7. Otherwise, there is an abnormality in the sub-safety inspection range and an alarm is issued.
[0016] Step 7: Continue until all safety inspections of the sub-safety inspection ranges are completed.
[0017] Furthermore, the safety inspection point management module generates an initial sequence of safety inspection points according to the safety inspection point information, and obtains safety inspection range information according to the initial sequence of safety inspection points, including:
[0018] The safety inspection point management module obtains the number of safety inspection points based on the safety inspection point information, and obtains the initial sequence of safety inspection points based on the set inspection direction. The safety inspection point management module obtains the adjacent information of the safety inspection points based on the initial sequence of the safety inspection points. The safety inspection point management module obtains the distance between two adjacent safety inspection points based on the adjacent information of the safety inspection points. The distance between all two adjacent safety inspection points constitutes the safety inspection range information.
[0019] Furthermore, the security inspection range is divided according to the inspection range of the inspection module to obtain multiple sub-security inspection ranges, and the security inspection point sequence corresponding to the sub-security inspection range is obtained according to the security inspection points included in each sub-security range, including:
[0020] The safety inspection range is divided into a plurality of sub-safety inspection ranges according to the inspection range of the inspection module, and the safety inspection point sequence corresponding to the sub-safety inspection range is obtained according to the safety inspection points included in the sub-safety inspection range and the initial sequence of the safety inspection points.
[0021] Furthermore, the acquisition of inspection module information and inspection task information, and obtaining inspection allocation information according to the inspection task information and the inspection sequence of the safety inspection points, includes:
[0022] The inspection task information includes the inspection task scope and the inspection category. The safety inspection point sequence corresponding to the sub-safety inspection range in the safety inspection point inspection sequence is obtained according to the inspection task scope in the inspection task information. The obtained safety inspection point sequence corresponding to the sub-safety inspection range is the inspection information. The inspection information and the inspection category constitute the inspection allocation information. The inspection category is single inspection or cross inspection. The single inspection is to inspect the sub-safety inspection range of the entire inspection range through a single inspection module; the cross inspection is to cross-inspect the sub-safety inspection range of the entire inspection range through multiple inspection modules.
[0023] Further, the cloud data server distributes the inspection information in the inspection allocation information to the inspection module, the inspection module executes the received inspection information, the inspection module collects inspection information according to the safety inspection point sequence of the corresponding sub-safety inspection range in the inspection information, and sends the collected inspection information to the cloud data server for consistency comparison, including:
[0024] The cloud data server selects an inspection module based on a single inspection and sends the inspection information to the selected inspection module. The inspection module collects the inspection information of the safety inspection point sequence corresponding to the sub-safety inspection range in the inspection information in turn, and sends the collected inspection information to the cloud data server for comparison with the standard inspection data. If they are consistent, the inspection information of the next safety inspection point sequence corresponding to the sub-safety inspection range is collected. If they are inconsistent, an alarm message is issued.
[0025] Further, the cloud data server generates first inspection allocation information according to the inspection information and inspection module information in the inspection allocation information, and the inspection module collects inspection information according to the safety inspection point sequence of the corresponding sub-safety inspection range in the inspection information to obtain first inspection data, including:
[0026] The cloud data server selects a corresponding number of inspection modules based on the number of cross-inspections and the number of security inspection point sequences corresponding to the sub-security inspection range in the inspection information, randomly assigns the security inspection point sequences corresponding to the sub-security inspection range in the inspection information to the selected inspection modules, and records the inspection module information and the assigned security inspection point sequences corresponding to the sub-security inspection range. The inspection module information and the assigned security inspection point sequences corresponding to the sub-security inspection range constitute the first inspection assignment information.
[0027] Furthermore, the cloud data server generates second inspection allocation information according to the first inspection allocation information, and distributes the second inspection allocation information to the inspection module, including:
[0028] The cloud data server allocates a safety inspection point sequence corresponding to a sub-safety inspection range different from the first inspection allocation information to the inspection module according to the first inspection allocation information, and generates second inspection allocation information.
[0029] Furthermore, the cloud data server matches and verifies the collected second inspection data with the first inspection data, including:
[0030] The cloud data server compares the second inspection data of the safety inspection point sequence of the corresponding sub-safety inspection range with the first inspection data of the safety inspection point sequence of the corresponding sub-safety inspection range. If the two are consistent, the inspection of the corresponding sub-safety inspection range has passed.
[0031] A security management system based on artificial intelligence and big data, applying the security management method based on artificial intelligence and big data, including a cloud data server, an inspection module, a security inspection point management module and a communication module;
[0032] The cloud data server, inspection module, and safety inspection point management module are respectively connected to the communication module for communication.
[0033] The beneficial effects of the present invention are: improving inspection efficiency: through intelligent inspection path planning and task allocation, the inspection time is effectively reduced and the inspection efficiency is improved. At the same time, by using big data analysis technology, the inspection data can be quickly processed and analyzed, further shortening the response time.
[0034] Expand monitoring scope: By integrating multiple inspection modules and monitoring equipment, comprehensive coverage of safety inspection points is achieved, monitoring blind spots are eliminated, and the comprehensiveness of safety management is improved.
[0035] Enhanced data processing capabilities: The cloud data server has powerful data processing capabilities, which can process and analyze massive inspection data in real time, promptly identify potential safety hazards, and improve the accuracy of safety management.
[0036] Realize intelligent management: By introducing artificial intelligence algorithms, the system can dynamically adjust inspection strategies according to real-time situations, such as predicting potential risk points based on historical data, adjusting inspection frequency according to weather changes, etc., thus realizing intelligent and automated safety management.
[0037] Easy to trace and locate problems: The system records the detailed data and trajectory of each inspection. Once a safety accident or hidden danger occurs, the source of the problem can be quickly traced, providing strong support for accident handling and hidden danger investigation.
[0038] Reduce labor costs: Through automated and intelligent inspection methods, the reliance on manual inspections is reduced, labor costs are reduced, and the accuracy and reliability of inspections are improved.
[0039] Improve the level of security management: This invention applies advanced technologies such as artificial intelligence and big data to the field of security management, promotes the innovation and development of security management methods, and improves the overall security management level. BRIEF DESCRIPTION OF THE DRAWINGS
[0040] Figure 1 It is a flowchart of a safety management method based on artificial intelligence and big data;
[0041] Figure 2 This is a schematic diagram of the principle of a safety management system based on artificial intelligence and big data;
[0042] Figure 3 This is a schematic diagram of the inspection module. DETAILED DESCRIPTION
[0043] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following.
[0044] The features and performance of the present invention are further described in detail below in conjunction with the embodiments.
[0045] like Figure 1 As shown, the security management method based on artificial intelligence and big data includes the following steps:
[0046] Step 1: The security inspection point management module generates an initial sequence of security inspection points based on the security inspection point information, and obtains security inspection range information based on the initial sequence of security inspection points;
[0047] Step 2: divide the safety inspection range according to the inspection range of the inspection module to obtain multiple sub-safety inspection ranges, and obtain the safety inspection point sequence of the corresponding sub-safety inspection range according to the safety inspection points included in each sub-safety inspection range. All the safety inspection point sequences of the corresponding sub-safety inspection ranges constitute the safety inspection point inspection sequence;
[0048] Step 3: Obtain inspection module information and inspection task information, and obtain inspection allocation information according to the inspection task information and the inspection sequence of the safety inspection points. If the inspection category in the inspection allocation information is a single inspection, proceed to step 4; if it is a cross inspection, proceed to step 5;
[0049] Step 4: The cloud data server distributes the inspection information in the inspection allocation information to the inspection module. The inspection module executes the received inspection information. The inspection module collects inspection information according to the safety inspection point sequence of the corresponding sub-safety inspection range in the inspection information, and sends the collected inspection information to the cloud data server for consistency comparison. If they are consistent, the inspection information of the next sub-safety inspection range is collected, and step 7 is entered; otherwise, an alarm is issued for the inconsistent sub-safety inspection range;
[0050] Step 5: The cloud data server generates first inspection allocation information according to the inspection information and inspection module information in the inspection allocation information; the inspection module collects inspection information according to the safety inspection point sequence of the corresponding sub-safety inspection range in the inspection information, obtains first inspection data, and sends the collected first inspection data to the cloud data server; after the cloud data server receives all the first inspection data, it proceeds to step 6;
[0051] Step 6: The cloud data server generates second inspection allocation information according to the first inspection allocation information, and distributes the safety inspection point sequence of the corresponding sub-safety inspection range in the second inspection allocation information to the inspection module. The inspection module collects inspection information to obtain second inspection data. The cloud data server matches and verifies the collected second inspection data with the first inspection data. If the first inspection data and the second inspection data of the same sub-safety inspection range are consistent, the inspection is completed and the process goes to step 7. Otherwise, there is an abnormality in the sub-safety inspection range and an alarm is issued.
[0052] Step 7: Continue until all safety inspections of the sub-safety inspection ranges are completed.
[0053] The safety inspection point management module generates an initial sequence of safety inspection points according to the safety inspection point information, and obtains safety inspection range information according to the initial sequence of safety inspection points, including:
[0054] The safety inspection point management module obtains the number of safety inspection points based on the safety inspection point information, and obtains the initial sequence of safety inspection points based on the set inspection direction. The safety inspection point management module obtains the adjacent information of the safety inspection points based on the initial sequence of the safety inspection points. The safety inspection point management module obtains the distance between two adjacent safety inspection points based on the adjacent information of the safety inspection points. The distance between all two adjacent safety inspection points constitutes the safety inspection range information.
[0055] The security inspection range is divided according to the inspection range of the inspection module to obtain multiple sub-security inspection ranges, and the security inspection point sequence corresponding to the sub-security inspection range is obtained according to the security inspection points included in each sub-security range, including:
[0056] The safety inspection range is divided into a plurality of sub-safety inspection ranges according to the inspection range of the inspection module, and the safety inspection point sequence corresponding to the sub-safety inspection range is obtained according to the safety inspection points included in the sub-safety inspection range and the initial sequence of the safety inspection points.
[0057] The obtaining of inspection module information and inspection task information, and obtaining inspection allocation information according to the inspection task information and the inspection sequence of the safety inspection points, includes:
[0058] The inspection task information includes the inspection task scope and the inspection category. The safety inspection point sequence corresponding to the sub-safety inspection range in the safety inspection point inspection sequence is obtained according to the inspection task scope in the inspection task information. The obtained safety inspection point sequence corresponding to the sub-safety inspection range is the inspection information. The inspection information and the inspection category constitute the inspection allocation information. The inspection category is single inspection or cross inspection. The single inspection is to inspect the sub-safety inspection range of the entire inspection range through a single inspection module; the cross inspection is to cross-inspect the sub-safety inspection range of the entire inspection range through multiple inspection modules.
[0059] The cloud data server distributes the inspection information in the inspection allocation information to the inspection module, and the inspection module executes the received inspection information. The inspection module collects inspection information according to the safety inspection point sequence of the corresponding sub-safety inspection range in the inspection information, and sends the collected inspection information to the cloud data server for consistency comparison, including:
[0060] The cloud data server selects an inspection module based on a single inspection and sends the inspection information to the selected inspection module. The inspection module collects the inspection information of the safety inspection point sequence corresponding to the sub-safety inspection range in the inspection information in turn, and sends the collected inspection information to the cloud data server for comparison with the standard inspection data. If they are consistent, the inspection information of the next safety inspection point sequence corresponding to the sub-safety inspection range is collected. If they are inconsistent, an alarm message is issued.
[0061] The cloud data server generates first inspection allocation information according to the inspection information and inspection module information in the inspection allocation information, and the inspection module collects inspection information according to the safety inspection point sequence of the corresponding sub-safety inspection range in the inspection information to obtain first inspection data, including:
[0062] The cloud data server selects a corresponding number of inspection modules based on the number of cross-inspections and the number of security inspection point sequences corresponding to the sub-security inspection range in the inspection information, randomly assigns the security inspection point sequences corresponding to the sub-security inspection range in the inspection information to the selected inspection modules, and records the inspection module information and the assigned security inspection point sequences corresponding to the sub-security inspection range. The inspection module information and the assigned security inspection point sequences corresponding to the sub-security inspection range constitute the first inspection assignment information.
[0063] The cloud data server generates second inspection allocation information according to the first inspection allocation information, and distributes the second inspection allocation information to the inspection module, including:
[0064] The cloud data server allocates a safety inspection point sequence corresponding to a sub-safety inspection range different from the first inspection allocation information to the inspection module according to the first inspection allocation information, and generates second inspection allocation information.
[0065] The cloud data server matches and verifies the collected second inspection data with the first inspection data, including:
[0066] The cloud data server compares the second inspection data of the safety inspection point sequence of the corresponding sub-safety inspection range with the first inspection data of the safety inspection point sequence of the corresponding sub-safety inspection range. If the two are consistent, the inspection of the corresponding sub-safety inspection range has passed.
[0067] like Figure 2 As shown, the security management system based on artificial intelligence and big data applies the security management method based on artificial intelligence and big data, including a cloud data server, an inspection module, a security inspection point management module and a communication module;
[0068] The cloud data server, inspection module, and safety inspection point management module are respectively connected to the communication module for communication.
[0069] like Figure 3 As shown, the inspection module includes an inspection information collection device, an identity information verification module, a data processing module and a mobile communication device; the inspection information collection device, the identity information verification module and the mobile communication device are respectively connected to the data processing module; and the mobile communication device is communicatively connected to the communication module.
[0070] Specifically, the security management method based on artificial intelligence and big data provided by the present invention specifically includes the following steps:
[0071] Step 1: The security inspection point management module generates inspection sequence and range information
[0072] The safety inspection point management module first generates an initial sequence of safety inspection points based on the safety inspection point information (including location, type, importance level, etc.) that is pre-entered or acquired in real time. This sequence can be arranged according to the set inspection direction (such as clockwise, counterclockwise, sorted by importance, etc.). Subsequently, the module calculates the adjacent relationship and distance between each safety inspection point based on this initial sequence, thereby obtaining information on the entire safety inspection range. This step provides basic data for the subsequent inspection range division and inspection route planning.
[0073] Step 2: Divide the sub-safety inspection range and generate the inspection sequence
[0074] According to the actual inspection capabilities of the inspection module (such as inspection speed, coverage, etc.), the entire security inspection range is divided into multiple sub-security inspection ranges. Each sub-range contains a certain number of security inspection points, and according to the initial sequence of security inspection points, a corresponding security inspection point sequence is generated for each sub-range. These sequences form the basis for subsequent inspection tasks.
[0075] Step 3: Obtain inspection task information and assign inspection tasks
[0076] The system obtains the currently available inspection module information and the inspection task information to be executed. The inspection task information includes the inspection task scope, inspection category (single inspection or cross inspection), etc. Based on this information, the system generates inspection allocation information to clarify the inspection tasks that each inspection module needs to perform. If it is a single inspection, that is, one inspection module completes the inspection of all sub-ranges, then go directly to the next step; if it is a cross inspection, that is, multiple inspection modules work together to complete the inspection task, then go to step 5 for more complex allocation.
[0077] Step 4: Execution of single inspection and data comparison
[0078] For a single inspection, the cloud data server distributes the inspection information (including the sequence of safety inspection points in the sub-safety inspection range) to the selected inspection module. The inspection module collects the inspection information in sequence and sends it back to the cloud data server through the mobile communication device. The server compares the collected data with the standard inspection data for consistency. If they are consistent, it will continue the inspection of the next sub-range; if they are inconsistent, it will immediately issue an alarm message to notify relevant personnel to handle it.
[0079] Step 5: The first round of data collection for cross inspection
[0080] In the cross inspection mode, the cloud data server generates the first inspection allocation information based on the inspection information and the number of available inspection modules. This includes randomly assigning different sub-safety inspection ranges to different inspection modules and recording the allocation. The inspection module collects inspection information according to the assigned tasks and sends the collected first inspection data back to the cloud data server.
[0081] Step 6: Second round of data collection and verification for cross inspection
[0082] After completing the first round of data collection, the cloud data server generates the second inspection allocation information to ensure that each inspection module is assigned to a different sub-safety inspection range in the second round. The inspection module performs the inspection task again and collects the second inspection data. The server matches and verifies the data collected in the two rounds. If the two rounds of data in the same sub-range are consistent, the inspection of the range is considered to have passed; if they are inconsistent, an alarm message is issued.
[0083] Step 7: Complete inspection of all sub-ranges
[0084] According to the above steps, the system completes the inspection tasks of all sub-security inspection scopes in turn. During the whole process, the system can dynamically adjust the inspection strategy according to the actual situation, such as increasing the inspection frequency, adjusting the inspection sequence, etc., to ensure the flexibility and effectiveness of security management.
[0085] Specific implementation of the safety inspection point management module
[0086] Acquisition of information on safety inspection points: The location information of safety inspection points is obtained through GPS positioning, RFID tags, QR code scanning, etc., and attribute information such as the type and importance level of the inspection points is also entered.
[0087] Initial sequence generation: Generate the initial sequence of safety inspection points according to the set rules (such as location order, order by importance, etc.).
[0088] Adjacent information and distance calculation: Based on the initial sequence, the adjacent relationship and distance between each inspection point are calculated to form the safety inspection range information.
[0089] Division of sub-safety inspection scope and generation of inspection sequence
[0090] Range division: The security inspection range is divided into multiple sub-ranges based on the coverage range, moving speed and other parameters of the inspection module.
[0091] Inspection sequence generation: Generate a safety inspection point sequence for the corresponding sub-range based on the inspection points contained in the sub-range and the initial sequence.
[0092] Inspection task allocation and information management
[0093] Task information acquisition: Obtain inspection task information through the user interface or automatic scheduling system.
[0094] Task allocation: Generate inspection allocation information based on inspection task information, inspection module status and available resources.
[0095] Information distribution: The inspection information is distributed to the corresponding inspection modules through the communication module.
[0096] Collection, transmission and comparison of inspection data
[0097] Data collection: The inspection module collects data (such as images, sounds, temperature, etc.) from each inspection point in sequence according to the inspection information.
[0098] Data transmission: The collected data is sent back to the cloud data server via mobile communication devices.
[0099] Data comparison: The server compares the received data with the standard data to determine whether there are any anomalies.
[0100] Special treatment of cross inspection
[0101] The first round of data collection: data collection is performed according to the first inspection allocation information.
[0102] Second round of data collection and verification: The second round of data collection is carried out according to the second inspection allocation information, and matched and verified with the first round of data.
[0103] System architecture and module design
[0104] Cloud data server: responsible for data processing, storage, analysis, and allocation and scheduling of inspection tasks.
[0105] Inspection module: It has inspection information collection, identity verification, data processing and communication functions, and is the basic unit for performing inspection tasks.
[0106] Safety inspection point management module: responsible for the information management, sequence generation and scope division of inspection points.
[0107] Communication module: realize data transmission and communication between modules.
[0108] Example 1: Factory safety inspection management system based on AI and big data
[0109] A large chemical plant covers a large area and has many production areas and storage facilities. Safety issues are of paramount importance. In order to improve the level of safety management and reduce safety hazards, the plant decided to introduce a safety inspection management system based on artificial intelligence and big data.
[0110] Step 1: The security inspection point management module generates inspection sequence and range information
[0111] Information entry: First, through GPS positioning and RFID tag technology, the location information of the safety inspection points throughout the plant (including but not limited to equipment, valves, storage tanks, etc.) is entered into the system, and the type (such as electrical, mechanical, chemical, etc.) and importance level (high, medium, low) of each inspection point are marked.
[0112] Sequence generation: Based on the location information of the inspection points, the system generates an initial sequence arranged in a clockwise direction to ensure the continuity and efficiency of the inspection path.
[0113] Range calculation: Based on the initial sequence, the system calculates the adjacent relationship and distance between each inspection point to form the safety inspection range information of the entire factory.
[0114] Step 2: Divide the sub-safety inspection range and generate the inspection sequence
[0115] Range division: Based on the movement speed and coverage range of the inspection robot, the entire factory is divided into 5 sub-safety inspection ranges, each of which contains about 20 inspection points.
[0116] Sequence generation: Generate a corresponding safety inspection point sequence for each sub-range to ensure that the inspection robot can inspect along the optimal path.
[0117] Step 3: Obtain inspection task information and assign inspection tasks
[0118] Task acquisition: The system obtains the inspection task information of the day through the user interface, including equipment inspection and chemical leak detection throughout the plant.
[0119] Task allocation: Considering the complexity of the inspection tasks and the capabilities of the inspection robots, the system decides to adopt a single inspection mode, with one inspection robot completing the inspection tasks of all sub-ranges.
[0120] Step 4: Execution of single inspection and data comparison
[0121] Task execution: The inspection robot collects data from inspection points in each sub-range in turn according to the inspection information distributed by the system, including taking photos of equipment and detecting chemical concentrations.
[0122] Data transmission: The inspection robot sends the collected data back to the cloud data server in real time through the 4G network.
[0123] Data comparison: The server compares the received data with the standard data. If any abnormality is found (such as equipment damage, chemical leakage, etc.), an alarm message will be issued immediately and relevant personnel will be notified to handle it.
[0124] Steps 5 to 7: Continuous inspection and optimization
[0125] Continuous inspection: According to the above steps, the system performs inspection tasks regularly every day to ensure the safe operation of the factory.
[0126] Optimization and adjustment: Based on the problems and feedback found during the inspection process, the system continuously optimizes the inspection strategy, such as adjusting the inspection sequence, increasing the inspection frequency, etc.
[0127] Example 2: Smart city safety inspection system based on AI and big data
[0128] In order to improve the city's safety management level, a smart city decided to introduce a safety inspection system based on artificial intelligence and big data to conduct real-time inspections and monitoring of key areas of the city (such as major traffic arteries, public places, key facilities, etc.).
[0129] Implementation steps
[0130] Step 1: The security inspection point management module generates inspection sequence and range information
[0131] Information entry: Through the city’s geographic information system (GIS) and camera location information, the location information of the city’s security inspection points (including cameras, sensors, alarms, etc.) is entered into the system, and the type and importance level of each inspection point is marked.
[0132] Sequence generation: Based on the city layout and inspection requirements, the system generates an initial sequence sorted by importance to ensure that key areas receive priority inspections.
[0133] Range calculation: Based on the initial sequence and the location information of the inspection points, the system calculates the adjacent relationship and distance between the inspection points to form the safety inspection range information of the entire city.
[0134] Step 2: Divide the sub-safety inspection range and generate the inspection sequence
[0135] Range division: Based on the flight speed and coverage of the inspection drone, the entire city is divided into 10 sub-safety inspection ranges, each of which contains about 50 inspection points.
[0136] Sequence generation: Generate a corresponding sequence of safety inspection points for each sub-range to ensure that the inspection drone can perform inspections along the optimal path.
[0137] Step 3: Obtain inspection task information and assign inspection tasks
[0138] Task acquisition: The system obtains the day's inspection task information through the city management center, including traffic flow monitoring, abnormal behavior identification in public places, etc.
[0139] Task allocation: Considering the complexity of the inspection tasks and the number of inspection drones, the system decided to adopt a cross-inspection mode, in which multiple inspection drones work together to complete the inspection tasks.
[0140] Steps 4 to 6: Execution of cross-check and data verification
[0141] The first round of data collection: Based on the first inspection allocation information, the system randomly assigns different sub-safety inspection ranges to different inspection drones for data collection.
[0142] Second round of data collection and verification: After completing the first round of data collection, the system generates the second round of inspection allocation information to ensure that each inspection drone is assigned to a different sub-safety inspection range in the second round. The inspection drone performs the inspection task again and collects the second inspection data. The system matches and verifies the data collected in the two rounds to ensure the accuracy and consistency of the data.
[0143] Step 7: Complete inspection and optimization of all sub-ranges
[0144] Continuous inspection: According to the above steps, the system performs inspection tasks regularly every day to ensure the safe operation of the city.
[0145] Optimization and adjustment: Based on the problems and feedback found during the inspection process, the system continuously optimizes the inspection strategy, such as adjusting the inspection scope, increasing the number of inspection drones, etc.
Claims
1. A security management method based on artificial intelligence and big data, characterized in that: The steps include: Step 1: The security inspection point management module generates an initial sequence of security inspection points based on the security inspection point information, and obtains security inspection range information based on the initial sequence of security inspection points; Step 2: divide the safety inspection range according to the inspection range of the inspection module to obtain multiple sub-safety inspection ranges, and obtain the safety inspection point sequence of the corresponding sub-safety inspection range according to the safety inspection points included in each sub-safety inspection range. All the safety inspection point sequences of the corresponding sub-safety inspection ranges constitute the safety inspection point inspection sequence; Step 3: Obtain inspection module information and inspection task information, and obtain inspection allocation information according to the inspection task information and the inspection sequence of the safety inspection points. If the inspection category in the inspection allocation information is a single inspection, proceed to step 4; if it is a cross inspection, proceed to step 5; Step 4: The cloud data server distributes the inspection information in the inspection allocation information to the inspection module. The inspection module executes the received inspection information. The inspection module collects inspection information according to the safety inspection point sequence of the corresponding sub-safety inspection range in the inspection information, and sends the collected inspection information to the cloud data server for consistency comparison. If they are consistent, the inspection information of the next sub-safety inspection range is collected, and step 7 is entered; otherwise, an alarm is issued for the inconsistent sub-safety inspection range; Step 5: The cloud data server generates first inspection allocation information according to the inspection information and inspection module information in the inspection allocation information; the inspection module collects inspection information according to the safety inspection point sequence of the corresponding sub-safety inspection range in the inspection information, obtains first inspection data, and sends the collected first inspection data to the cloud data server; after the cloud data server receives all the first inspection data, it proceeds to step 6; Step 6: The cloud data server generates second inspection allocation information according to the first inspection allocation information, and distributes the safety inspection point sequence of the corresponding sub-safety inspection range in the second inspection allocation information to the inspection module. The inspection module collects inspection information to obtain second inspection data. The cloud data server matches and verifies the collected second inspection data with the first inspection data. If the first inspection data and the second inspection data of the same sub-safety inspection range are consistent, the inspection is completed and the process goes to step 7. Otherwise, there is an abnormality in the sub-safety inspection range and an alarm is issued. Step 7: until the safety inspection of all sub-safety inspection scopes is completed; The safety inspection point management module generates an initial sequence of safety inspection points according to the safety inspection point information, and obtains safety inspection range information according to the initial sequence of safety inspection points, including: The safety inspection point management module obtains the number of safety inspection points according to the safety inspection point information, obtains the initial sequence of safety inspection points according to the set inspection direction, obtains the adjacent information of safety inspection points according to the initial sequence of safety inspection points, obtains the distance between two adjacent safety inspection points according to the adjacent information of safety inspection points, and the distance between two adjacent safety inspection points constitutes the safety inspection range information; The security inspection range is divided according to the inspection range of the inspection module to obtain multiple sub-security inspection ranges, and the security inspection point sequence corresponding to the sub-security inspection range is obtained according to the security inspection points included in each sub-security range, including: The safety inspection range is divided into a plurality of sub-safety inspection ranges according to the inspection range of the inspection module, and the safety inspection point sequence corresponding to the sub-safety inspection range is obtained according to the safety inspection points included in the sub-safety inspection range and the initial sequence of the safety inspection points; The obtaining of inspection module information and inspection task information, and obtaining inspection allocation information according to the inspection task information and the inspection sequence of the safety inspection points, includes: The inspection task information includes the inspection task scope and the inspection category. The safety inspection point sequence corresponding to the sub-safety inspection range in the safety inspection point inspection sequence is obtained according to the inspection task scope in the inspection task information. The obtained safety inspection point sequence corresponding to the sub-safety inspection range is the inspection information. The inspection information and the inspection category constitute the inspection allocation information. The inspection category is single inspection or cross inspection. The single inspection is to inspect the sub-safety inspection range of the whole inspection range through a single inspection module. The cross inspection is to cross-inspect the sub-safety inspection range of the whole inspection range through multiple inspection modules. The cloud data server distributes the inspection information in the inspection allocation information to the inspection module, and the inspection module executes the received inspection information. The inspection module collects inspection information according to the safety inspection point sequence of the corresponding sub-safety inspection range in the inspection information, and sends the collected inspection information to the cloud data server for consistency comparison, including: The cloud data server selects an inspection module based on a single inspection and sends the inspection information to the selected inspection module. The inspection module collects the inspection information of the safety inspection point sequence corresponding to the sub-safety inspection range in the inspection information in turn, and sends the collected inspection information to the cloud data server for comparison with the standard inspection data. If they are consistent, the inspection information of the next safety inspection point sequence corresponding to the sub-safety inspection range is collected. If they are inconsistent, an alarm message is issued; The cloud data server generates first inspection allocation information according to the inspection information and inspection module information in the inspection allocation information, and the inspection module collects inspection information according to the safety inspection point sequence of the corresponding sub-safety inspection range in the inspection information to obtain first inspection data, including: The cloud data server selects a corresponding number of inspection modules according to the number of cross inspections and the number of safety inspection point sequences corresponding to the sub-safety inspection range in the inspection information, randomly assigns the safety inspection point sequences corresponding to the sub-safety inspection range in the inspection information to the selected inspection modules, and records the inspection module information and the assigned safety inspection point sequences corresponding to the sub-safety inspection range, wherein the inspection module information and the assigned safety inspection point sequences corresponding to the sub-safety inspection range constitute the first inspection assignment information; The cloud data server generates second inspection allocation information according to the first inspection allocation information, and distributes the second inspection allocation information to the inspection module, including: The cloud data server allocates a safety inspection point sequence corresponding to a sub-safety inspection range different from the first inspection allocation information to the inspection module according to the first inspection allocation information, and generates second inspection allocation information; The cloud data server matches and verifies the collected second inspection data with the first inspection data, including: The cloud data server compares the second inspection data of the safety inspection point sequence of the corresponding sub-safety inspection range with the first inspection data of the safety inspection point sequence of the corresponding sub-safety inspection range. If the two are consistent, the inspection of the corresponding sub-safety inspection range has passed; It also includes entering the location information of safety inspection points into the system through GPS positioning and RFID tags, and marking the type and importance level of each inspection point.
2. A security management system based on artificial intelligence and big data, characterized by: The security management method based on artificial intelligence and big data as described in claim 1 is applied, comprising a cloud data server, a patrol module, a security patrol point management module and a communication module; The cloud data server, inspection module, and safety inspection point management module are respectively connected to the communication module for communication.
Citation Information
Patent Citations
Intelligent inspection system based on digital power plant
CN114373245A
Automatic identification method for infrared inspection of power transmission line based on unmanned aerial vehicle
CN117456627A
Visual intelligent inspection method and system
CN118823892A