A 5G intelligent monitoring and management system for virtual-real integrated meta-community

Abstract

The present invention relates to the field of monitoring management technology, and in particular to a 5G intelligent monitoring and management system for a virtual-real fusion meta-community, including a monitoring management platform, an information collection unit, an operation image quality analysis unit, a monitoring performance unit, an environmental obstacle unit, a risk assessment unit, a division management unit, and a management response unit; the present invention analyzes the monitoring status and monitoring performance of the monitoring equipment so as to manage the monitoring equipment according to the information feedback to ensure the monitoring stability of the monitoring equipment, and analyzes the environmental interference and historical influence through information feedback and information fusion to classify the monitoring equipment, and makes reasonable and targeted management adjustments according to different classifications, that is, makes reasonable maintenance cycle adjustments according to the division of the monitoring equipment to improve the operation safety and monitoring effect of the monitoring equipment, thereby contributing to improving the community monitoring safety.

Description

Technical Field

[0001] The present invention relates to the field of monitoring and management technology, and in particular to a 5G intelligent monitoring and management system for a virtual-real integrated meta-community. Background Art

[0002] Intelligent monitoring is an embedded video server that integrates intelligent behavior recognition algorithms. It can identify and judge the behavior of pedestrians or vehicles in the scene, and generate alarms to remind users under appropriate conditions. With the advancement of technology and the reduction of costs, it will gradually become popular, and intelligent monitoring has been widely used in many public places such as fire protection, forestry, and communities.

[0003] Intelligent monitoring has broad application prospects and potential economic value, which has aroused great interest among scientific researchers and related personnel around the world. However, in the existing technology, it is impossible to monitor the status and performance of monitoring equipment in the community, which is not conducive to timely management and maintenance of monitoring equipment, reducing the monitoring security of the community, and it is impossible to make reasonable and targeted maintenance cycle adjustments based on the environmental factors and historical information of the monitoring equipment, thereby reducing the management rationality and efficiency of the monitoring equipment;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a 5G intelligent monitoring and management system for a virtual-real integrated meta-community to solve the above-mentioned technical defects. The present invention analyzes the monitoring status and monitoring performance of the monitoring equipment so as to manage the monitoring equipment according to the information feedback to ensure the monitoring stability and operation safety of the monitoring equipment, thereby helping to improve the community monitoring safety. Through information feedback and information fusion, analysis is performed from the two points of environmental interference and historical influence to classify the monitoring equipment, and reasonable and targeted management adjustments are made according to different classifications, that is, reasonable maintenance cycle adjustments are made according to the division of the monitoring equipment to improve the operation safety and monitoring effect of the monitoring equipment, thereby helping to improve the monitoring reliability of the community.

[0006] The object of the present invention can be achieved by the following technical solutions: A 5G intelligent monitoring and management system for a virtual-real integrated meta-community, comprising a monitoring management platform, an information collection unit, an operation image quality analysis unit, a monitoring performance unit, an environmental obstruction unit, a risk assessment unit, a division management unit, and a management response unit;

[0007] The information collection unit is used to collect the status information and monitoring performance data of the monitoring device, and send the status information and monitoring performance data to the operation image quality analysis unit and the monitoring performance unit. After receiving the status information, the operation image quality analysis unit immediately performs operation image quality supervision feedback analysis on the status information, compares and analyzes the obtained management demand index, and obtains a management signal;

[0008] After receiving the monitoring performance data, the monitoring performance unit immediately performs monitoring execution performance analysis on the monitoring performance data, compares and analyzes the obtained action deviation value and steering error value, and obtains a control signal;

[0009] The environmental interference unit is used to collect environmental data of the environmental area, and perform monitoring and interference supervision assessment analysis on the environmental data, compare and analyze the obtained environmental interference assessment coefficient G, and obtain the monitoring interference level JD;

[0010] The risk assessment unit is used to collect historical information of monitoring equipment, perform operational impact assessment feedback analysis on the historical information, and send the obtained potential risk assessment index Q to the division management unit;

[0011] After receiving the monitoring interference level JD and the potential risk assessment index Q, the division management unit immediately performs information fusion assessment matching management analysis and sends the obtained shortened signal and normal signal to the management response unit.

[0012] Preferably, the operation image quality supervision feedback analysis process of the operation image quality analysis unit is as follows:

[0013] The working period of the monitoring equipment is collected and set as the time threshold, the time threshold is divided into i sub-time periods, i is a natural number greater than zero, and the status information of the monitoring equipment in each sub-time period is obtained. The status information includes the total energy consumption value and the image quality evaluation value, and then the ratio between the image quality evaluation value and the total energy consumption value is obtained, and the ratio between the image quality evaluation value and the total energy consumption value is set as the management demand evaluation coefficient;

[0014] The management demand assessment coefficient is compared and analyzed with the preset management demand assessment coefficient threshold value recorded and stored in the operation image quality analysis unit. If the management demand assessment coefficient is greater than or equal to the preset management demand assessment coefficient threshold value, the corresponding sub-time period is set as an efficient time period. If the management demand assessment coefficient is less than the preset management demand assessment coefficient threshold value, the corresponding sub-time period is set as an inefficient time period, and then the ratio between the number corresponding to the inefficient time period and the number corresponding to the efficient time period is obtained. The ratio between the number corresponding to the inefficient time period and the number corresponding to the efficient time period is set as the management demand index, and the management demand index is compared and analyzed with the preset management demand index threshold value recorded and stored in the operation image quality analysis unit:

[0015] If the ratio between the management demand index and the preset management demand index threshold is less than or equal to 1, no signal is generated;

[0016] If the ratio between the management demand index and the preset management demand index threshold is greater than 1, a management signal is generated.

[0017] Preferably, the image quality evaluation value represents the product of the proportion of the time corresponding to the picture clarity of the monitoring screen being higher than the preset picture clarity threshold and the smoothness evaluation value after data normalization processing, and the smoothness evaluation value represents the difference between the sub-time period duration and the total freeze duration.

[0018] Preferably, the monitoring execution performance analysis process of the monitoring performance unit is as follows:

[0019] Obtain monitoring performance data of the monitoring device within the time threshold, the monitoring performance data includes action deviation value and steering error value, the action deviation value indicates the part of the actual steering monitoring angle of the monitoring device that deviates from the set steering monitoring angle, the steering error value indicates the number of deviations of the corresponding value of the steering data of the monitoring device from the set standard value, and the steering data includes the steering interval duration and the steering speed;

[0020] Compare and analyze the action deviation value and the steering error value with the preset action deviation value threshold and the preset steering error value threshold stored in the monitoring performance unit:

[0021] If the motion deviation value is less than the preset motion deviation value threshold, and the steering error value is less than the preset steering error value threshold, no signal is generated;

[0022] If the action deviation value is greater than or equal to the preset action deviation value threshold, or the steering error value is greater than or equal to the preset steering error value threshold, a control signal is generated.

[0023] Preferably, the monitoring obstacle supervision evaluation and analysis process of the environmental obstacle unit is as follows:

[0024] S1: With the monitoring device as the center and R1 as the radius, the area obtained by drawing a circle around the monitoring device is set as the environmental area, and the environmental data in the environmental area within the time threshold is obtained. The environmental data includes the environmental dust value and the environmental electromagnetic interference value, and then the overlapping time length of the corresponding value of the environmental data exceeding the corresponding time length of the preset threshold is obtained, and the overlapping time length of the corresponding value of the environmental data exceeding the corresponding time length of the preset threshold is set as the environmental interference index;

[0025] S2: Obtain the physical interference value in the environmental area within the time threshold. The physical interference value indicates the number of physical interferences in the working monitoring area of ​​the monitoring equipment. Physical objects include trees and banners. The environmental interference index and the physical interference value are labeled HG and SG respectively. The environmental interference index HG and the physical interference value SG are substituted into the formula to obtain the environmental interference assessment coefficient G. The environmental interference assessment coefficient G is compared and analyzed with the preset environmental interference assessment coefficient range stored in the environmental obstruction unit:

[0026] If the environmental interference assessment coefficient G is greater than the maximum value in the preset environmental interference assessment coefficient range, it is judged as level three interference; if the environmental interference assessment coefficient G belongs to the preset environmental interference assessment coefficient range, it is judged as level two interference; if the environmental interference assessment coefficient G is less than the minimum value in the preset environmental interference assessment coefficient range, it is judged as level one interference, and level one interference, level two interference and level three interference are set as monitoring interference levels JD, JD=1, 3, 5.

[0027] Preferably, the operational impact assessment feedback analysis process of the risk assessment unit is as follows:

[0028] Obtaining historical information of the monitoring device within the time threshold, the historical information including appearance feature data and management data, the appearance feature data indicating the difference between the appearance feature image of the monitoring device and the standard appearance feature image, and the management data indicating the ratio between the difference obtained by subtracting the number of maintenance delays from the total number of maintenance times and the total number of maintenance times;

[0029] The appearance feature data and management data are labeled WG and GZ respectively, and the appearance feature data WG and management data GZ are substituted into the formula A potential risk assessment index is obtained, where f1 and f2 are preset weight factor coefficients of appearance feature data and management data respectively, f3 is a fault tolerance factor coefficient, f1, f2 and f3 are all greater than zero, and Q is a potential risk assessment index.

[0030] Preferably, the information fusion evaluation matching management analysis process of the division management unit is as follows:

[0031] Obtain the monitoring interference level JD and potential risk assessment index Q of the monitoring equipment within the time threshold, and substitute the monitoring interference level JD and potential risk assessment index Q into the formula The partition matching factor coefficient is obtained, v1 is the preset error factor coefficient, v1 is greater than zero, F is the partition matching factor coefficient, the monitoring device is marked as g, g is a natural number greater than zero, and then the partition matching factor coefficient Fg of each monitoring device within the time threshold is obtained, and the partition matching factor coefficient Fg is compared and analyzed with the preset partition matching factor coefficient threshold recorded and stored in the partition management unit:

[0032] If the partition matching factor coefficient Fg is greater than the preset partition matching factor coefficient threshold, the corresponding monitoring device is determined to be a Class I device, and a shortening signal is generated;

[0033] If the partition matching factor coefficient Fg is less than or equal to the preset partition matching factor coefficient threshold, the corresponding monitoring device is determined to be a Class II device and a normal signal is generated.

[0034] The beneficial effects of the present invention are as follows:

[0035] (1) The present invention analyzes the monitoring status and monitoring performance of the monitoring equipment so as to manage the monitoring equipment according to the information feedback to ensure the monitoring stability and operation safety of the monitoring equipment, thereby helping to improve the monitoring safety of the community. That is, the state information is analyzed for operation quality supervision feedback so as to analyze from the perspective of energy consumption and image quality to achieve the effect of low consumption and high image quality. The monitoring performance data is analyzed for monitoring execution performance to understand whether the working performance of the monitoring equipment is qualified during operation, so as to achieve timely feedback management to ensure the monitoring effect and monitoring stability of the monitoring equipment.

[0036] (2) The present invention analyzes abnormal monitoring equipment from the perspectives of environmental interference and historical influence through information feedback and information fusion, so as to classify the monitoring equipment and make reasonable and targeted management adjustments according to different classifications. That is, reasonable maintenance cycle adjustments are made according to the classification of the monitoring equipment to improve the operating safety and monitoring effect of the monitoring equipment, thereby helping to improve the monitoring reliability of the community. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The present invention will be further described below in conjunction with the accompanying drawings;

[0038] Figure 1 It is a flowchart of the system of the present invention;

[0039] Figure 2 It is a partial reference diagram of the first embodiment of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Embodiment 1:

[0042] See also Figure 1 to Figure 2As shown, the present invention is a 5G intelligent monitoring and management system for a virtual-real fusion meta-community, including a monitoring management platform, an information collection unit, an operation image quality analysis unit, a monitoring performance unit, an environmental obstacle unit, a risk assessment unit, a division management unit and a management response unit. The monitoring management platform is connected to the information collection unit in a one-way communication manner, the information collection unit is connected to the operation image quality analysis unit and the monitoring performance unit in a one-way communication manner, the operation image quality analysis unit is connected to the monitoring performance unit in a two-way communication manner, the operation image quality analysis unit is connected to the environmental obstacle unit and the risk assessment unit in a one-way communication manner, the environmental obstacle unit and the risk assessment unit are connected to the division management unit in a one-way communication manner, and the division management unit and the monitoring performance unit are connected to the management response unit in a one-way communication manner;

[0043] When the monitoring management platform detects that any monitoring device is working, a supervision instruction is generated and sent to the information collection unit. After receiving the supervision instruction, the information collection unit immediately collects the status information and monitoring performance data of the monitoring device, and sends the status information and monitoring performance data to the operation image quality analysis unit and the monitoring performance unit. After receiving the status information, the operation image quality analysis unit immediately performs operation image quality supervision feedback analysis on the status information, so as to analyze it from the perspective of energy consumption and image quality, so as to achieve the effect of low consumption and high image quality. The specific operation image quality supervision feedback analysis process is as follows:

[0044] The working period of the monitoring equipment is collected and set as the time threshold. The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The status information of the monitoring equipment in each sub-time period is obtained. The status information includes the total energy consumption value and the image quality evaluation value. Then, the ratio between the image quality evaluation value and the total energy consumption value is obtained. The ratio between the image quality evaluation value and the total energy consumption value is set as the management demand evaluation coefficient. It should be noted that the analysis is conducted from the perspective of energy consumption and image quality to achieve the effect of low consumption and high image quality.

[0045] The management demand assessment coefficient is compared and analyzed with the preset management demand assessment coefficient threshold value recorded and stored in the operation image quality analysis unit. If the management demand assessment coefficient is greater than or equal to the preset management demand assessment coefficient threshold value, the corresponding sub-time period is set as an efficient time period. If the management demand assessment coefficient is less than the preset management demand assessment coefficient threshold value, the corresponding sub-time period is set as an inefficient time period, and then the ratio between the number corresponding to the inefficient time period and the number corresponding to the efficient time period is obtained. The ratio between the number corresponding to the inefficient time period and the number corresponding to the efficient time period is set as the management demand index, and the management demand index is compared and analyzed with the preset management demand index threshold value recorded and stored in the operation image quality analysis unit:

[0046] If the ratio between the management demand index and the preset management demand index threshold is less than or equal to 1, no signal is generated;

[0047] If the ratio between the management demand index and the preset management demand index threshold is greater than 1, a management signal is generated, and the management signal is sent to the management response unit via the monitoring performance unit. After receiving the management signal, the management response unit immediately performs the preset warning operation corresponding to the management signal, so as to timely manage the abnormal monitoring equipment and improve the safety of community monitoring;

[0048] In the embodiment of the present invention, the image quality evaluation value indicates the product value obtained by multiplying the proportion of the time corresponding to the preset image clarity threshold value of the monitoring image by the value of the smoothness evaluation value after data normalization processing, and the smoothness evaluation value indicates the difference between the sub-time period and the total freeze time. It should be noted that the larger the image quality evaluation value, the smaller the risk of abnormal state of the monitoring device and the lower the management demand;

[0049] After receiving the monitoring performance data, the monitoring performance unit immediately performs monitoring execution performance analysis on the monitoring performance data to understand whether the working performance of the monitoring equipment is qualified during operation, so as to provide timely feedback management to ensure the monitoring effect and monitoring stability of the monitoring equipment. The specific monitoring execution performance analysis process is as follows:

[0050] Acquire monitoring performance data of the monitoring device within the time threshold, the monitoring performance data including the action deviation value and the steering error value, and compare and analyze the action deviation value and the steering error value to obtain an adjustment signal;

[0051] In the embodiment of the present invention, the action deviation value indicates the portion of the actual steering monitoring angle of the monitoring device that deviates from the set steering monitoring angle. It should be noted that the monitoring steering angle of the monitoring device is analyzed to understand the deviation of the actual monitoring area of ​​the monitoring device from the set monitoring area, so as to make timely management adjustments to improve the monitoring effect of the monitoring device;

[0052] In the embodiment of the present invention, the steering error value indicates the number of deviations of the value corresponding to the steering data of the monitoring device from the set standard value. The steering data includes the steering interval duration, the steering speed, etc. It should be noted that the steering performance of the monitoring device is analyzed to understand whether the monitoring effect of the monitoring device is qualified, so as to timely manage and adjust the monitoring device;

[0053] Compare and analyze the action deviation value and the steering error value with the preset action deviation value threshold and the preset steering error value threshold stored in the monitoring performance unit:

[0054] If the motion deviation value is less than the preset motion deviation value threshold, and the steering error value is less than the preset steering error value threshold, no signal is generated;

[0055] If the action deviation value is greater than or equal to the preset action deviation value threshold, or the steering error value is greater than or equal to the preset steering error value threshold, a control signal is generated, and the control signal is sent to the management response unit, and the control signal is sent to the environmental obstacle unit and the risk assessment unit via the operation image quality analysis unit. After receiving the control signal, the management response unit immediately performs the preset warning operation corresponding to the control signal, so as to carry out reasonable and targeted management of the monitoring equipment, so as to improve the monitoring effect and control stability of the monitoring equipment.

[0056] Embodiment 2:

[0057] When a management signal or a control signal is generated, the environmental data of the environmental area is collected through the environmental obstruction unit, and the environmental data is subjected to monitoring obstruction supervision evaluation analysis to understand the impact of the environment on the monitoring equipment, that is, the environmental interference evaluation coefficient G obtained by the monitoring obstruction supervision evaluation analysis is compared and analyzed to obtain the monitoring interference level JD;

[0058] In the embodiment of the present invention, the specific monitoring obstacle supervision assessment and analysis process is as follows:

[0059] With the monitoring device as the center and R1 as the radius, the area obtained by drawing a circle around the monitoring device is set as the environmental area, and the environmental data in the environmental area within the time threshold is obtained. The environmental data includes the environmental dust value, the environmental electromagnetic interference value, etc., and then the overlapping time of the corresponding value of the environmental data exceeding the corresponding time of the preset threshold is obtained, and the overlapping time of the corresponding value of the environmental data exceeding the corresponding time of the preset threshold is set as the environmental interference index. It should be noted that the analysis is conducted from the perspective of the environment without physical objects to understand the impact of the environment on the monitoring equipment;

[0060] Obtain the physical interference value in the environmental area within the time threshold. The physical interference value indicates the number of physical interferences in the working monitoring area of ​​the monitoring equipment. Physical objects include trees, banners, etc. The environmental interference index and physical interference value are labeled HG and SG respectively. Substitute the environmental interference index HG and the physical interference value SG into the formula G = (HG×a1+SG×a2) 2 ×a3 to obtain the environmental interference assessment coefficient, where a1 and a2 are respectively the preset proportional factor coefficients of the environmental interference index HG and the physical interference value SG. The proportional factor coefficients are used to correct the deviations of various parameters in the formula calculation process, so as to make the calculation results more accurate. a3 is the preset correction factor coefficient. a1, a2 and a3 are all greater than zero. G is the environmental interference assessment coefficient. The environmental interference assessment coefficient G is compared and analyzed with the preset environmental interference assessment coefficient range stored in the environmental obstruction unit:

[0061] If the environmental interference assessment coefficient G is greater than the maximum value in the preset environmental interference assessment coefficient range, it is determined to be level 3 interference;

[0062] If the environmental interference assessment coefficient G falls within the preset environmental interference assessment coefficient range, it is determined to be level 2 interference;

[0063] If the environmental interference assessment coefficient G is less than the minimum value in the preset environmental interference assessment coefficient range, it is determined to be first-level interference, wherein the interference degrees corresponding to the first-level interference, the second-level interference and the third-level interference are increased in sequence, and the first-level interference, the second-level interference and the third-level interference are set as the monitoring interference level JD, JD=1, 3, 5, that is, when the monitoring interference level JD=1, it indicates the first-level interference, when the monitoring interference level JD=3, it indicates the second-level interference, when the monitoring interference level JD=5, it indicates the third-level interference, and the monitoring interference level JD is sent to the division management unit;

[0064] When generating a management signal or a control signal, the historical information of the monitoring equipment is collected through the risk assessment unit, that is, the analysis is performed from the perspective of historical information, which helps to improve the comprehensiveness of the analysis data on the one hand, and helps to understand the potential operating risk of the monitoring equipment on the other hand;

[0065] In the embodiment of the present invention, the risk assessment unit performs an operation impact assessment feedback analysis on the historical information to obtain a potential risk assessment index Q;

[0066] In the embodiment of the present invention, the specific operation impact assessment feedback analysis process is as follows:

[0067] The historical information of the monitoring device within the time threshold is obtained, and the historical information includes appearance feature data and management data. The appearance feature data represents the difference between the appearance feature image of the monitoring device and the standard appearance feature image. The management data represents the ratio between the difference obtained by subtracting the maintenance delay times from the total maintenance times and the total maintenance times. It should be noted that the analysis is performed from the perspective of historical information to understand the potential risk status of the monitoring device.

[0068] The appearance feature data and management data are labeled WG and GZ respectively, and the appearance feature data WG and management data GZ are substituted into the formula Obtain a potential risk assessment index, wherein f1 and f2 are preset weight factor coefficients of appearance feature data and management data respectively, f3 is a fault tolerance factor coefficient, f1, f2 and f3 are all greater than zero, Q is a potential risk assessment index, and the potential risk assessment index Q is sent to the division management unit;

[0069] After receiving the monitoring interference level JD and the potential risk assessment index Q, the division management unit immediately conducts information fusion assessment matching management analysis, and then conducts fusion analysis of environmental interference and historical impact through information feedback and information fusion, and compares and analyzes the obtained division matching factor coefficient Fg, so as to classify the monitoring equipment, and make reasonable and targeted management adjustments according to different classifications to improve the management efficiency of the monitoring equipment;

[0070] In the embodiment of the present invention, the specific information fusion evaluation matching management analysis process is as follows:

[0071] Obtain the monitoring interference level JD and potential risk assessment index Q of the monitoring equipment within the time threshold, and substitute the monitoring interference level JD and potential risk assessment index Q into the formula The partition matching factor coefficient is obtained, v1 is the preset error factor coefficient, v1 is greater than zero, F is the partition matching factor coefficient, the monitoring device is marked as g, g is a natural number greater than zero, and then the partition matching factor coefficient Fg of each monitoring device within the time threshold is obtained, and the partition matching factor coefficient Fg is compared and analyzed with the preset partition matching factor coefficient threshold recorded and stored in the partition management unit:

[0072] If the partition matching factor coefficient Fg is greater than the preset partition matching factor coefficient threshold, the corresponding monitoring device is determined to be a Class I device, and a shortening signal is generated;

[0073] If the division matching factor coefficient Fg is less than or equal to the preset division matching factor coefficient threshold, the corresponding monitoring device is determined to be a Class II device, and a normal signal is generated. It should be noted that the maintenance intervals of Class I devices and Class II devices are different, and the maintenance weekly interval of Class I devices is less than the maintenance interval of Class II devices. The shortened signal and the normal signal are sent to the management response unit. After receiving the shortened signal and the normal signal, the management response unit immediately displays the preset "cycle shortened" on the Class I device corresponding to the shortened signal, and immediately displays the preset "cycle normal" on the Class II device corresponding to the normal signal, so as to make reasonable maintenance cycle adjustments according to the division of the monitoring equipment, so as to improve the operating safety and monitoring effect of the monitoring equipment, thereby helping to improve the monitoring reliability of the community;

[0074] In summary, the present invention analyzes the monitoring equipment from two points of view, namely, the monitoring status and monitoring performance of the monitoring equipment, so as to manage the monitoring equipment according to the information feedback, so as to ensure the monitoring stability and operation safety of the monitoring equipment, thereby helping to improve the monitoring safety of the community, that is, to conduct operation image quality supervision feedback analysis on the status information, so as to analyze from the perspective of energy consumption and image quality, so as to achieve the effect of low consumption and high image quality, and to conduct monitoring execution performance analysis on the monitoring performance data, so as to understand whether the working performance of the monitoring equipment is qualified during operation, so as to provide timely feedback management, so as to ensure the monitoring effect and monitoring stability of the monitoring equipment, and to conduct analysis from two points of view, namely, environmental interference and historical influence, through information feedback and information fusion, so as to classify the monitoring equipment, and make reasonable and targeted management adjustments according to different classifications, that is, to make reasonable maintenance cycle adjustments according to the division of the monitoring equipment, so as to improve the operation safety and monitoring effect of the monitoring equipment, thereby helping to improve the monitoring reliability of the community.

[0075] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0076] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A 5G intelligent monitoring and management system for a virtual-real fusion meta-community, characterized in that: It includes a monitoring management platform, an information collection unit, an operation image quality analysis unit, a monitoring performance unit, an environmental obstacle unit, a risk assessment unit, a division management unit, and a management response unit; The information collection unit is used to collect the status information and monitoring performance data of the monitoring device, and send the status information and monitoring performance data to the operation image quality analysis unit and the monitoring performance unit. After receiving the status information, the operation image quality analysis unit immediately performs operation image quality supervision feedback analysis on the status information, compares and analyzes the obtained management demand index, and obtains a management signal; After receiving the monitoring performance data, the monitoring performance unit immediately performs monitoring execution performance analysis on the monitoring performance data, compares and analyzes the obtained action deviation value and steering error value, and obtains a control signal; The environmental interference unit is used to collect environmental data of the environmental area, and perform monitoring and interference supervision assessment analysis on the environmental data, compare and analyze the obtained environmental interference assessment coefficient G, and obtain the monitoring interference level JD; The risk assessment unit is used to collect historical information of monitoring equipment, perform operational impact assessment feedback analysis on the historical information, and send the obtained potential risk assessment index Q to the division management unit; After receiving the monitoring interference level JD and the potential risk assessment index Q, the division management unit immediately performs information fusion assessment matching management analysis and sends the obtained shortened signal and normal signal to the management response unit; The operation picture quality supervision feedback analysis process of the operation picture quality analysis unit is as follows: The working period of the monitoring equipment is collected and set as the time threshold, the time threshold is divided into i sub-time periods, i is a natural number greater than zero, and the status information of the monitoring equipment in each sub-time period is obtained. The status information includes the total energy consumption value and the image quality evaluation value, and then the ratio between the image quality evaluation value and the total energy consumption value is obtained, and the ratio between the image quality evaluation value and the total energy consumption value is set as the management demand evaluation coefficient; The management demand assessment coefficient is compared and analyzed with the preset management demand assessment coefficient threshold value recorded and stored in the operation image quality analysis unit. If the management demand assessment coefficient is greater than or equal to the preset management demand assessment coefficient threshold value, the corresponding sub-time period is set as an efficient time period. If the management demand assessment coefficient is less than the preset management demand assessment coefficient threshold value, the corresponding sub-time period is set as an inefficient time period, and then the ratio between the number corresponding to the inefficient time period and the number corresponding to the efficient time period is obtained. The ratio between the number corresponding to the inefficient time period and the number corresponding to the efficient time period is set as the management demand index, and the management demand index is compared and analyzed with the preset management demand index threshold value recorded and stored in the operation image quality analysis unit: If the ratio between the management demand index and the preset management demand index threshold is less than or equal to 1, no signal is generated; If the ratio between the management demand index and the preset management demand index threshold is greater than 1, a management signal is generated; The image quality evaluation value represents the product of the proportion of the time corresponding to the picture clarity of the monitoring picture being higher than the preset picture clarity threshold and the smoothness evaluation value after data normalization processing, and the smoothness evaluation value represents the difference between the sub-time period and the total freeze time. The monitoring and supervision evaluation and analysis process of the environmental obstacle unit is as follows: S1: With the monitoring device as the center and R1 as the radius, the area obtained by drawing a circle around the monitoring device is set as the environmental area, and the environmental data in the environmental area within the time threshold is obtained. The environmental data includes the environmental dust value and the environmental electromagnetic interference value, and then the overlapping time length of the corresponding value of the environmental data exceeding the corresponding time length of the preset threshold is obtained, and the overlapping time length of the corresponding value of the environmental data exceeding the corresponding time length of the preset threshold is set as the environmental interference index; S2: Obtain the physical interference value in the environmental area within the time threshold. The physical interference value indicates the number of physical interferences in the working monitoring area of ​​the monitoring equipment. Physical objects include trees and banners. The environmental interference index and physical interference value are labeled HG and SG respectively. Substitute the environmental interference index HG and the physical interference value SG into the formula The environmental interference assessment coefficient is obtained, where a1 and a2 are respectively the preset proportional factor coefficients of the environmental interference index HG and the physical interference value SG. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. A3 is the preset correction factor coefficient. A1, a2 and a3 are all greater than zero. G is the environmental interference assessment coefficient. The environmental interference assessment coefficient G is compared and analyzed with the preset environmental interference assessment coefficient range stored in the environmental interference unit: If the environmental interference assessment coefficient G is greater than the maximum value in the preset environmental interference assessment coefficient range, it is determined to be a third-level interference; if the environmental interference assessment coefficient G belongs to the preset environmental interference assessment coefficient range, it is determined to be a second-level interference; if the environmental interference assessment coefficient G is less than the minimum value in the preset environmental interference assessment coefficient range, it is determined to be a first-level interference, and the first-level interference, the second-level interference and the third-level interference are set as the monitoring interference level JD, JD=1, 3, 5; The operational impact assessment feedback analysis process of the risk assessment unit is as follows: Obtaining historical information of the monitoring device within the time threshold, the historical information including appearance feature data and management data, the appearance feature data indicating the difference between the appearance feature image of the monitoring device and the standard appearance feature image, and the management data indicating the ratio between the difference obtained by subtracting the number of maintenance delays from the total number of maintenance times and the total number of maintenance times; The appearance feature data and management data are labeled WG and GZ respectively, and the appearance feature data WG and management data GZ are substituted into the formula Get the potential risk assessment index, where f1 and f2 are respectively the preset weight factor coefficients of the appearance feature data and the management data, f3 is the fault tolerance factor coefficient, f1, f2 and f3 are all greater than zero, and Q is the potential risk assessment index; The information fusion evaluation matching management analysis process of the division management unit is as follows: Obtain the monitoring interference level JD and potential risk assessment index Q of the monitoring equipment within the time threshold, and substitute the monitoring interference level JD and potential risk assessment index Q into the formula The partition matching factor coefficient is obtained, v1 is the preset error factor coefficient, v1 is greater than zero, F is the partition matching factor coefficient, the monitoring device is marked as g, g is a natural number greater than zero, and then the partition matching factor coefficient Fg of each monitoring device within the time threshold is obtained, and the partition matching factor coefficient Fg is compared and analyzed with the preset partition matching factor coefficient threshold recorded and stored in the partition management unit: If the partition matching factor coefficient Fg is greater than the preset partition matching factor coefficient threshold, the corresponding monitoring device is determined to be a Class I device, and a shortening signal is generated; If the partition matching factor coefficient Fg is less than or equal to the preset partition matching factor coefficient threshold, the corresponding monitoring device is determined to be a Class II device and a normal signal is generated; After receiving the shortened signal and the normal signal, the management response unit immediately displays the preset "cycle shortened" on the first type of equipment corresponding to the shortened signal, and immediately displays the preset "cycle normal" on the second type of equipment corresponding to the normal signal.

2. According to claim 1, the 5G intelligent monitoring and management system of the virtual-real fusion meta-community is characterized in that: The monitoring execution performance analysis process of the monitoring performance unit is as follows: Obtain monitoring performance data of the monitoring device within the time threshold, the monitoring performance data includes action deviation value and steering error value, the action deviation value indicates the part of the actual steering monitoring angle of the monitoring device that deviates from the set steering monitoring angle, the steering error value indicates the number of deviations of the corresponding value of the steering data of the monitoring device from the set standard value, and the steering data includes the steering interval duration and the steering speed; Compare and analyze the action deviation value and the steering error value with the preset action deviation value threshold and the preset steering error value threshold stored in the monitoring performance unit: If the motion deviation value is less than the preset motion deviation value threshold, and the steering error value is less than the preset steering error value threshold, no signal is generated; If the action deviation value is greater than or equal to the preset action deviation value threshold, or the steering error value is greater than or equal to the preset steering error value threshold, a control signal is generated.

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