CN119295286B - Security management method and system based on artificial intelligence and big data - Google Patents
Security management method and system based on artificial intelligence and big data Download PDFInfo
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Abstract
The invention relates to the field of security and discloses a security management method and a security management system based on artificial intelligence and big data, wherein the security management method comprises the steps that a security inspection point management module generates a security inspection point initial sequence according to security inspection point information, and obtains security inspection range information according to the security inspection point initial sequence; dividing the safety inspection range according to the inspection range of the inspection module to obtain a plurality of sub-safety inspection ranges, obtaining a safety inspection point sequence corresponding to the sub-safety inspection range according to the safety inspection points contained in each sub-safety range, forming the safety inspection point inspection sequence by all the safety inspection point sequences corresponding to the sub-safety inspection range, obtaining inspection module information and inspection task information, obtaining inspection allocation information according to the inspection task information and the safety inspection point inspection sequence, and completing the safety inspection of all the sub-safety inspection ranges.
Description
Technical Field
The invention relates to the field of security, in particular to a security management method and system based on artificial intelligence and big data.
Background
Traditional security management methods often rely on manual patrol and simple monitoring equipment, which are not only inefficient, but also difficult to cover all potential security risk points. Especially in complex environments such as large enterprises, industrial parks, public places and the like, the task amount of the safety inspection is huge, the requirements on the professional ability and responsibility of inspection personnel are extremely high, and immeasurable losses can be caused by a little negligence.
The conventional security management method has the following main problems:
The inspection efficiency is low, a great amount of time is consumed for manual inspection, and the manual inspection is greatly influenced by human factors, such as inspection speed, attention concentration degree and the like, so that the inspection efficiency is low, and timely and effective monitoring of all safety inspection points is difficult to realize.
The monitoring range is limited, and although the traditional monitoring equipment can lighten the manual burden to a certain extent, the traditional monitoring equipment is limited in monitoring range, and a monitoring blind area often exists, so that all safety risk points cannot be covered comprehensively.
The data processing capability is insufficient, and even if advanced monitoring equipment is provided, massive monitoring data needs to be screened and analyzed manually, so that the method is time-consuming and labor-consuming, and important information is easy to miss due to human negligence.
The intelligent management is lacking, the traditional safety management method lacks an intelligent means, the inspection strategy cannot be dynamically adjusted according to real-time conditions, and emergency situations and complex and changeable safety threats are difficult to deal with.
The problems of difficult tracing and positioning are that when safety accidents or hidden dangers occur, the traditional method is often difficult to trace the source of the problems rapidly and accurately, and great difficulty is brought to accident handling and hidden danger investigation.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a security management method based on artificial intelligence and big data, which comprises the following steps:
Step one, a safety inspection point management module generates a safety inspection point initial sequence according to safety inspection point information, and obtains safety inspection range information according to the safety inspection point initial sequence;
Dividing the safety inspection range according to the inspection range of the inspection module to obtain a plurality of sub-safety inspection ranges, and obtaining a safety inspection point sequence of the corresponding sub-safety inspection range according to the safety inspection points contained in each sub-safety range, wherein all the safety inspection point sequences of the corresponding sub-safety inspection ranges form a safety inspection point inspection sequence;
step three, acquiring patrol module information and patrol task information, obtaining patrol allocation information according to the patrol task information and a security patrol point patrol sequence, entering step four if the patrol category in the patrol allocation information is single patrol, and entering step five if the patrol category is cross patrol;
The cloud data server distributes the inspection information in the inspection distribution information to an inspection module, the inspection module executes the received inspection information, the inspection module acquires the inspection information according to a safety inspection point sequence of a corresponding sub-safety inspection range in the inspection information, and sends the acquired inspection information to the cloud data server for consistency comparison, if the acquired inspection information is consistent, the inspection information of the next sub-safety inspection range is acquired, and the step seven is entered, otherwise, an alarm is sent to the inconsistent sub-safety inspection range;
step five, the cloud data server generates first patrol allocation information according to patrol information in the patrol allocation information and patrol module information, the patrol module collects patrol information according to a safety patrol point sequence of a corresponding sub-safety patrol range in the patrol information to obtain first patrol data, the collected first patrol data are sent to the cloud data server, and the cloud data server enters step six after receiving all the first patrol data;
Step six, the cloud data server generates second patrol allocation information according to the first patrol allocation information, distributes a security patrol point sequence of a corresponding sub-security patrol range in the second patrol allocation information to a patrol module, acquires patrol information by the patrol module to obtain second patrol data, and matches and verifies the acquired second patrol data with the first patrol data, if the first patrol data and the second patrol data of the same sub-security patrol range are consistent, the patrol is completed, step seven is entered, otherwise, the sub-security patrol range is abnormal, and an alarm is sent;
and step seven, until the safety inspection of all the sub-safety inspection ranges is completed.
Further, the security inspection point management module generates a security inspection point initial sequence according to the security inspection point information, and obtains security inspection range information according to the security inspection point initial sequence, including:
The safety inspection point management module acquires the number of the safety inspection points according to the safety inspection point information, acquires a safety inspection point initial sequence according to the set inspection direction, acquires safety inspection point adjacent information according to the safety inspection point initial sequence, respectively acquires the distance between two adjacent safety inspection points according to the safety inspection point adjacent information, and forms safety inspection range information.
Further, the method includes dividing the security inspection range according to the inspection range of the inspection module to obtain a plurality of sub-security inspection ranges, and obtaining a security inspection point sequence corresponding to the sub-security inspection range according to the security inspection points contained in each sub-security range, including:
Dividing the safety inspection range into a plurality of sub-safety inspection ranges according to the inspection range of the inspection module, and obtaining a safety inspection point sequence corresponding to the sub-safety inspection range according to the safety inspection points contained in the sub-safety range and the safety inspection point initial sequence.
Further, the method for obtaining the patrol module information and the patrol task information and obtaining the patrol allocation information according to the patrol task information and the patrol sequence of the safety patrol point comprises the following steps:
The inspection task information comprises an inspection task range and an inspection category, a safety inspection point sequence corresponding to a child safety inspection range in a safety inspection point inspection sequence is obtained according to the inspection task range in the inspection task information, the obtained safety inspection point sequence corresponding to the child safety inspection range is inspection information, the inspection information and the inspection category form inspection distribution information, the inspection category is single inspection or cross inspection, the single inspection is to inspect the child safety inspection range of the full inspection range through a single inspection module, and the cross inspection is to cross inspect the child safety inspection range of the full inspection range through a plurality of inspection modules.
Further, the cloud data server distributes the inspection information in the inspection allocation information to an inspection module, the inspection module executes the received inspection information, the inspection module performs inspection information acquisition according to a security inspection point sequence of a corresponding child security inspection range in the inspection information, and sends the acquired inspection information to the cloud data server for consistency comparison, and the cloud data server comprises:
The cloud data server selects a patrol module according to single patrol, sends patrol information to the selected patrol module, sequentially collects patrol information of the safety patrol point sequences corresponding to the child safety patrol range in the patrol information, sends the collected patrol information to the cloud data server, compares the collected patrol information with standard patrol data, and if the collected patrol information is consistent with the standard patrol data, acquires the patrol information of the safety patrol point sequences of the next corresponding child safety patrol range, and if the collected patrol information is inconsistent with the standard patrol data, sends alarm information.
Further, the cloud data server generates first routing inspection distribution information according to routing inspection information in the routing inspection distribution information and routing inspection module information, and the routing inspection module performs routing inspection information acquisition according to a security routing inspection point sequence of a corresponding sub security routing inspection range in the routing inspection information to obtain first routing inspection data, and the cloud data server comprises:
The cloud data server selects a corresponding number of inspection modules according to the number of the security inspection point sequences corresponding to the child security inspection range in the cross inspection and inspection information, randomly distributes the security inspection point sequences corresponding to the child security inspection range in the inspection information to the selected inspection modules, records the inspection module information and the distributed security inspection point sequences corresponding to the child security inspection range, and forms first inspection distribution information.
Further, the cloud data server generates second routing inspection distribution information according to the first routing inspection distribution information, distributes the second routing inspection distribution information to the routing inspection module, and includes:
And the cloud data server distributes a security inspection point sequence of a corresponding sub security inspection range different from the first inspection distribution information to the inspection module according to the first inspection distribution information, and generates second inspection distribution information.
Further, the cloud data server matches and verifies the collected second inspection data with the first inspection data, and the cloud data server comprises:
and the cloud data server compares the second inspection data of the safety inspection point sequence corresponding to the child safety inspection range with the first inspection data of the safety inspection point sequence corresponding to the child safety inspection range, and if the two inspection data are consistent, the inspection of the child safety inspection range is passed.
The security management system based on the artificial intelligence and the big data applies the security management method based on the artificial intelligence and the big data, and comprises a cloud data server, a patrol module, a security patrol point management module and a communication module;
the cloud data server, the inspection module and the safety inspection point management module are respectively in communication connection with the communication module.
The intelligent routing inspection system has the beneficial effects that the routing inspection efficiency is improved, the routing inspection time is effectively reduced and the routing inspection efficiency is improved through intelligent routing inspection path planning and task distribution. Meanwhile, by utilizing a big data analysis technology, the quick processing and analysis of the inspection data can be realized, and the response time is further shortened.
The monitoring range is enlarged, namely the whole coverage of the safety inspection points is realized by integrating various inspection modules and monitoring equipment, the monitoring blind area is eliminated, and the comprehensiveness of safety management is improved.
The cloud data server has strong data processing capability, can process and analyze massive inspection data in real time, timely discovers potential safety hazards, and improves the accuracy of safety management.
The intelligent management is realized, namely by introducing an artificial intelligent algorithm, the system can dynamically adjust the inspection strategy according to real-time conditions, such as predicting potential risk points according to historical data, adjusting inspection frequency according to weather changes and the like, and the intelligent and automatic safety management is realized.
The system records detailed data and track of each inspection, once safety accidents or hidden dangers occur, the system can quickly trace the source of the problem, and powerful support is provided for accident handling and hidden dangers inspection.
The labor cost is reduced, the dependence on manual inspection is reduced through an automatic and intelligent inspection mode, the labor cost is reduced, and meanwhile, the inspection accuracy and reliability are improved.
The invention applies the advanced technologies such as artificial intelligence, big data and the like to the field of safety management, promotes the innovation and development of a safety management mode and improves the overall safety management level.
Drawings
FIG. 1 is a flow diagram of a security management method based on artificial intelligence and big data;
FIG. 2 is a schematic diagram of an artificial intelligence and big data based security management system;
fig. 3 is a schematic diagram of the inspection module.
Detailed Description
The technical solution of the present invention will be described in further detail with reference to the accompanying drawings, but the scope of the present invention is not limited to the following description.
The features and capabilities of the present invention are described in further detail below in connection with the examples.
As shown in fig. 1, the security management method based on artificial intelligence and big data comprises the following steps:
Step one, a safety inspection point management module generates a safety inspection point initial sequence according to safety inspection point information, and obtains safety inspection range information according to the safety inspection point initial sequence;
Dividing the safety inspection range according to the inspection range of the inspection module to obtain a plurality of sub-safety inspection ranges, and obtaining a safety inspection point sequence of the corresponding sub-safety inspection range according to the safety inspection points contained in each sub-safety range, wherein all the safety inspection point sequences of the corresponding sub-safety inspection ranges form a safety inspection point inspection sequence;
step three, acquiring patrol module information and patrol task information, obtaining patrol allocation information according to the patrol task information and a security patrol point patrol sequence, entering step four if the patrol category in the patrol allocation information is single patrol, and entering step five if the patrol category is cross patrol;
The cloud data server distributes the inspection information in the inspection distribution information to an inspection module, the inspection module executes the received inspection information, the inspection module acquires the inspection information according to a safety inspection point sequence of a corresponding sub-safety inspection range in the inspection information, and sends the acquired inspection information to the cloud data server for consistency comparison, if the acquired inspection information is consistent, the inspection information of the next sub-safety inspection range is acquired, and the step seven is entered, otherwise, an alarm is sent to the inconsistent sub-safety inspection range;
step five, the cloud data server generates first patrol allocation information according to patrol information in the patrol allocation information and patrol module information, the patrol module collects patrol information according to a safety patrol point sequence of a corresponding sub-safety patrol range in the patrol information to obtain first patrol data, the collected first patrol data are sent to the cloud data server, and the cloud data server enters step six after receiving all the first patrol data;
Step six, the cloud data server generates second patrol allocation information according to the first patrol allocation information, distributes a security patrol point sequence of a corresponding sub-security patrol range in the second patrol allocation information to a patrol module, acquires patrol information by the patrol module to obtain second patrol data, and matches and verifies the acquired second patrol data with the first patrol data, if the first patrol data and the second patrol data of the same sub-security patrol range are consistent, the patrol is completed, step seven is entered, otherwise, the sub-security patrol range is abnormal, and an alarm is sent;
and step seven, until the safety inspection of all the sub-safety inspection ranges is completed.
The security inspection point management module generates a security inspection point initial sequence according to the security inspection point information, and obtains security inspection range information according to the security inspection point initial sequence, and the security inspection point management module comprises:
The safety inspection point management module acquires the number of the safety inspection points according to the safety inspection point information, acquires a safety inspection point initial sequence according to the set inspection direction, acquires safety inspection point adjacent information according to the safety inspection point initial sequence, respectively acquires the distance between two adjacent safety inspection points according to the safety inspection point adjacent information, and forms safety inspection range information.
The described inspection module can be used for dividing the inspection range of said inspection module to obtain several child inspection ranges, according to the inspection points contained in every child inspection range the correspondent child inspection range can be obtained, including:
Dividing the safety inspection range into a plurality of sub-safety inspection ranges according to the inspection range of the inspection module, and obtaining a safety inspection point sequence corresponding to the sub-safety inspection range according to the safety inspection points contained in the sub-safety range and the safety inspection point initial sequence.
The method for obtaining the patrol module information and the patrol task information and obtaining the patrol allocation information according to the patrol task information and the patrol sequence of the safety patrol point comprises the following steps:
The inspection task information comprises an inspection task range and an inspection category, a safety inspection point sequence corresponding to a child safety inspection range in a safety inspection point inspection sequence is obtained according to the inspection task range in the inspection task information, the obtained safety inspection point sequence corresponding to the child safety inspection range is inspection information, the inspection information and the inspection category form inspection distribution information, the inspection category is single inspection or cross inspection, the single inspection is to inspect the child safety inspection range of the full inspection range through a single inspection module, and the cross inspection is to cross inspect the child safety inspection range of the full inspection range through a plurality of inspection modules.
The cloud data server distributes the inspection information in the inspection allocation information to an inspection module, the inspection module executes the received inspection information, the inspection module acquires the inspection information according to a safety inspection point sequence of a corresponding sub safety inspection range in the inspection information, and sends the acquired inspection information to the cloud data server for consistency comparison, and the cloud data server comprises:
The cloud data server selects a patrol module according to single patrol, sends patrol information to the selected patrol module, sequentially collects patrol information of the safety patrol point sequences corresponding to the child safety patrol range in the patrol information, sends the collected patrol information to the cloud data server, compares the collected patrol information with standard patrol data, and if the collected patrol information is consistent with the standard patrol data, acquires the patrol information of the safety patrol point sequences of the next corresponding child safety patrol range, and if the collected patrol information is inconsistent with the standard patrol data, sends alarm information.
The cloud data server generates first patrol allocation information according to patrol information in the patrol allocation information and patrol module information, and the patrol module acquires patrol information according to a safety patrol point sequence of a corresponding sub-safety patrol range in the patrol information to obtain first patrol data, wherein the method comprises the following steps:
The cloud data server selects a corresponding number of inspection modules according to the number of the security inspection point sequences corresponding to the child security inspection range in the cross inspection and inspection information, randomly distributes the security inspection point sequences corresponding to the child security inspection range in the inspection information to the selected inspection modules, records the inspection module information and the distributed security inspection point sequences corresponding to the child security inspection range, and forms first inspection distribution information.
The cloud data server generates second patrol allocation information according to the first patrol allocation information and distributes the second patrol allocation information to the patrol module, and the cloud data server comprises:
And the cloud data server distributes a security inspection point sequence of a corresponding sub security inspection range different from the first inspection distribution information to the inspection module according to the first inspection distribution information, and generates second inspection distribution information.
The cloud data server matches and verifies the collected second inspection data with the first inspection data, and the cloud data server comprises:
and the cloud data server compares the second inspection data of the safety inspection point sequence corresponding to the child safety inspection range with the first inspection data of the safety inspection point sequence corresponding to the child safety inspection range, and if the two inspection data are consistent, the inspection of the child safety inspection range is passed.
As shown in fig. 2, the security management system based on artificial intelligence and big data applies a security management method based on artificial intelligence and big data, and comprises a cloud data server, a patrol module, a security patrol point management module and a communication module;
the cloud data server, the inspection module and the safety inspection point management module are respectively in communication connection with the communication module.
As shown in FIG. 3, the inspection module comprises an inspection information acquisition device, an identity information verification module, a data processing module and a mobile communication device, wherein the inspection information acquisition device, the identity information verification module and the mobile communication device are respectively connected with the data processing module, and the mobile communication device is in communication connection with the communication module.
Specifically, the invention provides a security management method based on artificial intelligence and big data, which specifically comprises the following steps:
Step one, a security inspection point management module generates an inspection sequence and range information
The security inspection point management module firstly generates a security inspection point initial sequence according to security inspection point information (including position, type, importance level and the like) which is input in advance or acquired in real time. This sequence may be arranged according to a set inspection direction (e.g., clockwise, counterclockwise, order of importance, etc.). And then, the module calculates the adjacent relation and the distance between the safety inspection points according to the initial sequence, so that the information of the whole safety inspection range is obtained. This step provides the basic data for the subsequent inspection scope division and inspection path planning.
Dividing the security inspection range of the child and generating an inspection sequence
The whole safety inspection range is divided into a plurality of sub-safety inspection ranges according to the actual inspection capability (such as inspection speed, coverage range and the like) of the inspection module. And each sub-range comprises a certain number of safety inspection points, and a corresponding safety inspection point sequence is generated for each sub-range according to the initial sequence of the safety inspection points. These sequences form the basis for the subsequent inspection tasks.
Step three, acquiring inspection task information and distributing inspection tasks
The system acquires the currently available inspection module information and the inspection task information to be executed. The inspection task information includes an inspection task range, inspection category (single inspection or cross inspection), and the like. According to the information, the system generates patrol allocation information, and the patrol task to be executed by each patrol module is defined. If the inspection is single, namely the inspection of all sub-ranges is completed by one inspection module, the next step is directly carried out, and if the inspection is cross, namely the inspection tasks are completed cooperatively by a plurality of inspection modules, the step five is carried out for more complex allocation.
Step four, the execution of single inspection and the data comparison
For single patrol, the cloud data server distributes patrol information (including a sequence of security patrol points of a child security patrol range) to the selected patrol module. The inspection module sequentially collects inspection information according to the sequence and sends the inspection information back to the cloud data server through the mobile communication device. And the server compares the consistency of the acquired data with the standard inspection data, if the acquired data is consistent with the standard inspection data, the inspection of the next sub-range is continued, and if the acquired data is inconsistent with the standard inspection data, alarm information is immediately sent out, and relevant personnel are notified to process.
Step five, data acquisition of the first round of cross inspection
And in the cross inspection mode, the cloud data server generates first inspection distribution information according to the inspection information and the number of available inspection modules. This includes randomly assigning different sub-security inspection ranges to different inspection modules and recording the assignment. And the inspection module collects inspection information according to the distributed tasks and sends the collected first inspection data back to the cloud data server.
Step six, the second round of data acquisition and verification of cross inspection
After the first round of data acquisition is completed, the cloud data server generates second patrol allocation information, and each patrol module is ensured to be allocated to a sub-security patrol range different from the previous one in the second round. And the inspection module executes the inspection task again and collects second inspection data. The server matches and verifies the data acquired by the two rounds, if the two rounds of data in the same sub-range are consistent, the range is considered to pass inspection, and if the two rounds of data are inconsistent, alarm information is sent.
Step seven, finishing the inspection of all the sub-ranges
According to the steps, the system sequentially completes the inspection tasks of all the sub-safety inspection ranges. In the whole process, the system can dynamically adjust the inspection strategy according to actual conditions, such as increasing inspection frequency, adjusting inspection sequence and the like, so as to ensure the flexibility and effectiveness of safety management.
Specific implementation of safety inspection point management module
And acquiring the information of the safety inspection point, namely acquiring the position information of the safety inspection point in a GPS positioning mode, an RFID tag mode, a two-dimensional code scanning mode and the like, and simultaneously inputting attribute information such as the type, the importance level and the like of the inspection point.
And generating an initial sequence, namely generating a safety inspection point initial sequence according to a set rule (such as according to a position sequence, according to importance sequence and the like).
And calculating the adjacent relation and distance between the inspection points based on the initial sequence to form the safety inspection range information.
Division of sub-security inspection range and inspection sequence generation
And dividing the safety inspection range into a plurality of sub-ranges according to the parameters such as the coverage range, the moving speed and the like of the inspection module.
And generating a patrol sequence, namely generating a safety patrol point sequence corresponding to the sub-range according to the patrol points and the initial sequence contained in the sub-range.
Patrol task allocation and information management
Task information acquisition, namely acquiring inspection task information through a user interface or an automatic scheduling system.
And task allocation, namely generating patrol allocation information according to patrol task information, the patrol module state and available resources.
And information distribution, namely distributing the inspection information to the corresponding inspection module through the communication module.
Acquisition, transmission and comparison of inspection data
And the data acquisition, namely sequentially acquiring data (such as images, sound, temperature and the like) of each inspection point by the inspection module according to the sequence in the inspection information.
And data transmission, namely sending the acquired data back to the cloud data server through the mobile communication device.
And (3) data comparison, namely comparing the received data with standard data by the server, and judging whether abnormality exists or not.
Special treatment of cross inspection
And the first round of data acquisition, namely carrying out data acquisition according to the first inspection allocation information.
And the second round of data acquisition and verification, namely carrying out the second round of data acquisition according to the second inspection distribution information and carrying out matching verification with the first round of data.
System architecture and module design
And the cloud data server is responsible for data processing, storage, analysis and allocation and scheduling of patrol tasks.
The inspection module has the functions of inspection information acquisition, identity verification, data processing and communication, and is a basic unit for executing inspection tasks.
And the security inspection point management module is responsible for information management, sequence generation and range division of inspection points.
And the communication module is used for realizing data transmission and communication among the modules.
Embodiment one, factory safety inspection management system based on AI and big data
The large-scale chemical plant has wide occupied area, has numerous production areas and storage facilities, and is of great importance to the safety problem. In order to improve the safety management level and reduce the potential safety hazard, the factory decides to introduce a safety inspection management system based on artificial intelligence and big data.
Step one, a security inspection point management module generates an inspection sequence and range information
Firstly, through GPS positioning and RFID label technology, the position information of security inspection points (including but not limited to equipment, valves, storage tanks and the like) of the whole factory is recorded into a system, and the type (such as electric, mechanical, chemical and the like) and the importance level (high, medium and low) of each inspection point are marked.
And generating a sequence, namely generating an initial sequence which is arranged in a clockwise direction according to the position information of the inspection points by the system, and ensuring the continuity and the high efficiency of the inspection path.
And calculating the range, namely calculating the adjacent relation and the distance between the inspection points based on the initial sequence by the system to form the safety inspection range information of the whole factory.
Dividing the security inspection range of the child and generating an inspection sequence
And dividing the whole factory into 5 sub-safety inspection ranges according to the moving speed and the coverage range of the inspection robot, wherein each range comprises about 20 inspection points.
And generating a corresponding safety inspection point sequence for each sub-range, so as to ensure that the inspection robot can inspect according to the optimal path.
Step three, acquiring inspection task information and distributing inspection tasks
Task acquisition, wherein the system acquires the inspection task information of the current day through a user interface, and the inspection task information comprises equipment inspection, chemical leakage detection and the like in the whole factory.
Task allocation, namely taking the complexity of the inspection task and the capacity of the inspection robot into consideration, the system decides to adopt a single inspection mode, and the inspection robot completes the inspection task of all sub-ranges.
Step four, the execution of single inspection and the data comparison
And executing tasks, namely sequentially carrying out data acquisition on the inspection points in each sub-range by the inspection robot according to inspection information distributed by the system, wherein the data acquisition comprises equipment photo taking, chemical concentration detection and the like.
And data transmission, namely sending the acquired data back to the cloud data server by the inspection robot in real time through the 4G network.
And (3) data comparison, namely, the server compares the received data with standard data, if abnormality (such as equipment damage, chemical leakage and the like) is found, alarm information is immediately sent out, and relevant personnel are notified to process.
Step five to seven, continuous inspection and optimization
And (3) continuously inspecting, namely executing inspection tasks by the system at daily time according to the steps, and ensuring the safe operation of the factory.
Optimizing and adjusting, namely continuously optimizing the inspection strategy by the system according to the problems and feedback found in the inspection process, such as adjusting the inspection sequence, increasing the inspection frequency and the like.
Embodiment two, AI and big data based smart city security inspection system
In order to promote the safety management level of a city, a safety inspection system based on artificial intelligence and big data is decided to be introduced in a certain smart city, and real-time inspection and monitoring are carried out on key areas (such as traffic lanes, public places, key facilities and the like) of the city.
Implementation steps
Step one, a security inspection point management module generates an inspection sequence and range information
And (3) information input, namely inputting position information of security inspection points (including cameras, sensors, alarms and the like) of the whole city into the system through a city Geographic Information System (GIS) and camera point distribution information, and marking the type and importance level of each inspection point.
And generating a sequence, namely generating an initial sequence which is ordered according to importance according to urban layout and inspection requirements by a system, and ensuring that the key area is inspected preferentially.
And calculating the range, namely calculating the adjacent relation and the distance between the inspection points based on the initial sequence and the position information of the inspection points by the system, and forming the safety inspection range information of the whole city.
Dividing the security inspection range of the child and generating an inspection sequence
And dividing the range into 10 sub-safety inspection ranges according to the flying speed and coverage range of the inspection unmanned aerial vehicle, wherein each range comprises about 50 inspection points.
And generating a corresponding safety inspection point sequence for each sub-range, so as to ensure that the inspection unmanned aerial vehicle can inspect according to the optimal path.
Step three, acquiring inspection task information and distributing inspection tasks
Task acquisition, namely acquiring patrol task information of the current day by the system through the city management center, wherein the patrol task information comprises traffic flow monitoring, public place abnormal behavior identification and the like.
And (3) task allocation, namely taking the complexity of the patrol task and the number of the patrol unmanned aerial vehicles into consideration, determining to adopt a cross patrol mode by the system, and cooperatively completing the patrol task by a plurality of patrol unmanned aerial vehicles.
Step four to six, execution of cross inspection and data verification
And the first round of data acquisition, namely randomly distributing different child safety inspection ranges to different inspection unmanned aerial vehicles by the system according to the first inspection distribution information to acquire data.
And (3) the second round of data acquisition and verification, namely after the first round of data acquisition is completed, the system generates second inspection distribution information to ensure that each inspection unmanned aerial vehicle is distributed to a different child safety inspection range in the second round. And the inspection unmanned aerial vehicle executes the inspection task again, and second inspection data are acquired. The system matches and verifies the data acquired by the two rounds, and ensures the accuracy and consistency of the data.
Step seven, finishing the inspection and optimization of all the sub-ranges
And (3) continuously inspecting, namely executing inspection tasks by the system at daily time according to the steps, and ensuring the safe operation of the city.
Optimizing and adjusting, namely continuously optimizing the inspection strategy by the system according to the problems and feedback found in the inspection process, such as adjusting the inspection range, increasing the number of unmanned aerial vehicles for inspection and the like.
Claims (2)
1. The safety management method based on artificial intelligence and big data is characterized by comprising the following steps:
Step one, a safety inspection point management module generates a safety inspection point initial sequence according to safety inspection point information, and obtains safety inspection range information according to the safety inspection point initial sequence;
Dividing the safety inspection range according to the inspection range of the inspection module to obtain a plurality of sub-safety inspection ranges, and obtaining a safety inspection point sequence of the corresponding sub-safety inspection range according to the safety inspection points contained in each sub-safety range, wherein all the safety inspection point sequences of the corresponding sub-safety inspection ranges form a safety inspection point inspection sequence;
step three, acquiring patrol module information and patrol task information, obtaining patrol allocation information according to the patrol task information and a security patrol point patrol sequence, entering step four if the patrol category in the patrol allocation information is single patrol, and entering step five if the patrol category is cross patrol;
The cloud data server distributes the inspection information in the inspection distribution information to an inspection module, the inspection module executes the received inspection information, the inspection module acquires the inspection information according to a safety inspection point sequence of a corresponding sub-safety inspection range in the inspection information, and sends the acquired inspection information to the cloud data server for consistency comparison, if the acquired inspection information is consistent, the inspection information of the next sub-safety inspection range is acquired, and the step seven is entered, otherwise, an alarm is sent to the inconsistent sub-safety inspection range;
step five, the cloud data server generates first patrol allocation information according to patrol information in the patrol allocation information and patrol module information, the patrol module collects patrol information according to a safety patrol point sequence of a corresponding sub-safety patrol range in the patrol information to obtain first patrol data, the collected first patrol data are sent to the cloud data server, and the cloud data server enters step six after receiving all the first patrol data;
Step six, the cloud data server generates second patrol allocation information according to the first patrol allocation information, distributes a security patrol point sequence of a corresponding sub-security patrol range in the second patrol allocation information to a patrol module, acquires patrol information by the patrol module to obtain second patrol data, and matches and verifies the acquired second patrol data with the first patrol data, if the first patrol data and the second patrol data of the same sub-security patrol range are consistent, the patrol is completed, step seven is entered, otherwise, the sub-security patrol range is abnormal, and an alarm is sent;
step seven, until the safety inspection of all the sub-safety inspection ranges is completed;
The security inspection point management module generates a security inspection point initial sequence according to the security inspection point information, and obtains security inspection range information according to the security inspection point initial sequence, and the security inspection point management module comprises:
The safety inspection point management module acquires the number of the safety inspection points according to the safety inspection point information, acquires a safety inspection point initial sequence according to a set inspection direction, acquires safety inspection point adjacent information according to the safety inspection point initial sequence, respectively acquires the distance between two adjacent safety inspection points according to the safety inspection point adjacent information, and forms safety inspection range information;
the described inspection module can be used for dividing the inspection range of said inspection module to obtain several child inspection ranges, according to the inspection points contained in every child inspection range the correspondent child inspection range can be obtained, including:
dividing the safety inspection range into a plurality of sub-safety inspection ranges according to the inspection range of the inspection module, and obtaining a safety inspection point sequence corresponding to the sub-safety inspection range according to the safety inspection points contained in the sub-safety range and the safety inspection point initial sequence;
The method for obtaining the patrol module information and the patrol task information and obtaining the patrol allocation information according to the patrol task information and the patrol sequence of the safety patrol point comprises the following steps:
The inspection task information comprises an inspection task range and an inspection category, a safety inspection point sequence corresponding to a child safety inspection range in a safety inspection point inspection sequence is obtained according to the inspection task range in the inspection task information, the obtained safety inspection point sequence corresponding to the child safety inspection range is inspection information, the inspection information and the inspection category form inspection distribution information, the inspection category is single inspection or cross inspection, the single inspection is to inspect the child safety inspection range of the full inspection range through a single inspection module, and the cross inspection is to cross inspect the child safety inspection range of the full inspection range through a plurality of inspection modules;
The cloud data server distributes the inspection information in the inspection allocation information to an inspection module, the inspection module executes the received inspection information, the inspection module acquires the inspection information according to a safety inspection point sequence of a corresponding sub safety inspection range in the inspection information, and sends the acquired inspection information to the cloud data server for consistency comparison, and the cloud data server comprises:
The cloud data server selects a patrol module according to single patrol, sends patrol information to the selected patrol module, sequentially collects patrol information of a safety patrol point sequence corresponding to a child safety patrol range in the patrol information, sends the collected patrol information to the cloud data server, compares the collected patrol information with standard patrol data, and if the collected patrol information is consistent with the standard patrol data, collects patrol information of a safety patrol point sequence of the next corresponding child safety patrol range, and if the collected patrol information is inconsistent with the standard patrol data, sends alarm information;
The cloud data server generates first patrol allocation information according to patrol information in the patrol allocation information and patrol module information, and the patrol module acquires patrol information according to a safety patrol point sequence of a corresponding sub-safety patrol range in the patrol information to obtain first patrol data, wherein the method comprises the following steps:
The cloud data server selects a corresponding number of inspection modules according to the number of the security inspection point sequences corresponding to the child security inspection range in the cross inspection and inspection information, randomly distributes the security inspection point sequences corresponding to the child security inspection range in the inspection information to the selected inspection modules, records the inspection module information and the distributed security inspection point sequences corresponding to the child security inspection range, and forms first inspection distribution information;
The cloud data server generates second patrol allocation information according to the first patrol allocation information and distributes the second patrol allocation information to the patrol module, and the cloud data server comprises:
The cloud data server distributes a security inspection point sequence of a corresponding sub security inspection range different from the first inspection distribution information to the inspection module according to the first inspection distribution information, and generates second inspection distribution information;
The cloud data server matches and verifies the collected second inspection data with the first inspection data, and the cloud data server comprises:
the cloud data server compares the second inspection data of the safety inspection point sequence corresponding to the child safety inspection range with the first inspection data of the safety inspection point sequence corresponding to the child safety inspection range, and if the two inspection data are consistent, the inspection of the corresponding child safety inspection range is passed;
The method also comprises the step of inputting the position information of the safety inspection points into the system through GPS positioning and RFID labels, and marking the type and importance level of each inspection point.
2. The security management system based on the artificial intelligence and the big data is characterized by comprising a cloud data server, a patrol module, a security patrol point management module and a communication module, wherein the security management method based on the artificial intelligence and the big data is applied to the security management system based on the artificial intelligence and the big data disclosed in the claim 1;
the cloud data server, the inspection module and the safety inspection point management module are respectively in communication connection with the communication module.
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