Intelligent video remote monitoring management system based on Beidou
By introducing Beidou-based intelligent video remote monitoring and management system into the video surveillance system, the stability problems of existing systems in the face of signal interference and equipment failures are solved, and high-precision target tracking and system management efficiency are improved.
Patent Information
- Application Number
- CN202411803630.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-09
- Publication Date
- 2025-03-21
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
When existing video surveillance systems face factors such as signal interference and equipment failure, they are prone to communication interruption or data loss, and are difficult to effectively track in abnormal situations.
A Beidou-based intelligent video remote monitoring and management system is designed, including interference analysis module, environmental assessment module, background monitoring module, comprehensive management module and Beidou positioning module. By comprehensively analyzing a variety of environmental factors, users can choose appropriate monitoring equipment and solutions, and use Beidou positioning to achieve high-precision target tracking.
It effectively reduces equipment failures, improves the stability and management efficiency of the monitoring system, and can provide continuous navigation and positioning services in complex environments to ensure the high reliability and accuracy of the video surveillance system.
Smart Images

Figure CN119676409A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of video monitoring technology, and in particular to a Beidou-based intelligent video remote monitoring and management system. Background Art
[0002] Video surveillance systems have evolved from the initial analog systems to digital systems, and then to today's networking and intelligent stages. With the continuous advancement of computer vision, artificial intelligence and big data technologies, intelligent video surveillance systems have gradually emerged and become an important part of the security field. Intelligent video surveillance technology mainly relies on computer vision technology, and through the analysis and processing of video images, it realizes functions such as automatic detection, recognition and tracking. These technologies include target detection and tracking, behavior analysis, anomaly detection, etc., and rely on advanced algorithms and big data analysis capabilities. Through automated monitoring and analysis, intelligent video surveillance systems reduce the burden of manual monitoring and improve management efficiency. At the same time, the system supports remote access and control, allowing managers to manage and dispatch the monitoring system at any time and any place.
[0003] The communication between the video surveillance system and the monitoring platform is easily affected by various factors, such as signal interference, equipment failure, etc., which can easily lead to communication interruption or data loss. At the same time, under abnormal circumstances, the video surveillance system is difficult to track. Summary of the invention
[0004] 1. Technical issues to be resolved
[0005] In view of the shortcomings of the prior art, the present invention provides an intelligent video remote monitoring and management system based on Beidou, which has the advantages of being able to comprehensively analyze the various environments of the monitoring system in multiple dimensions, thereby helping users to select more suitable monitoring equipment and solutions based on the evaluation results, reducing equipment failures, and facilitating accurate tracking of the target's location through Beidou, etc.
[0006] (II) Technical solution
[0007] To achieve the above object, the present invention provides the following technical solutions: a Beidou-based intelligent video remote monitoring and management system, comprising an interference analysis module, an environmental assessment module, a background monitoring module, a comprehensive management module and a Beidou positioning module;
[0008] The interference analysis module is used to connect to the monitor to monitor the interference data of the monitoring system installation area, calculate the interference value according to the interference data, and perform interference evaluation on the interference value;
[0009] The environmental assessment module is used to connect the monitor to monitor the environmental impact data of the monitoring system installation area under severe weather conditions, calculate the environmental impact value based on the environmental impact data, and evaluate the environmental impact value;
[0010] The background monitoring module is used to connect to the monitor to detect the operation transmission data of the monitoring platform, calculate the operation efficiency according to the operation transmission data, and evaluate the operation efficiency;
[0011] The interference analysis module, the environmental assessment module, and the background monitoring module send the detection data and the assessment data to the comprehensive management module;
[0012] The comprehensive management module generates an evaluation report based on the evaluation results to provide feedback on monitoring that is affected by interference factors, the environment, or the transmission efficiency of monitoring equipment is insufficient;
[0013] The Beidou positioning module is connected to the integrated management module via a network cable, and continuously monitors the video remote monitoring that is not affected by interference factors, is not affected by the environment, and has sufficient transmission efficiency of the monitoring equipment, and tracks the video remote monitoring at the same time.
[0014] Preferably, the interference data includes electromagnetic interference, light interference and noise interference;
[0015] The environmental impact data include air quality exceeding the standard, haze index, abnormal temperature and humidity;
[0016] The operation transmission data includes data transmission speed, packet loss rate, error rate, and delay time.
[0017] Preferably, the interference value is calculated as follows:
[0018]
[0019] Among them, GRsz is the interference value, DCgr s This is real-time electromagnetic interference. This data is measured by a spectrum analyzer. DCgr o is the standard value of electromagnetic interference, α1 is the weight, GXgr s This is real-time light interference. This data can be measured by an optical power meter. o is the standard value of light interference, α2 is the weight, ZYgr s For real-time noise interference, this data can be measured by a sound level meter, ZYgr o is the noise interference standard value, α3 is the weight, and α1+α2+α3=1, 3 are the three interference factors that interfere with monitoring.
[0020] Preferably, the interference assessment method is:
[0021] When the calculated result of the interference value GRsz is greater than the monitoring interference impact threshold, it means that the current monitoring will be affected by interference factors during operation.
[0022] Preferably, the environmental impact value is calculated as follows:
[0023]
[0024] Among them, HJyx represents the environmental impact value, KQzl s Represents actual air quality exceeding standard data, KQzl o represents the air quality exceeding the standard under standard conditions, β1 is the weight, WMzs s Represents the actual haze index, WMzs o represents the haze index under standard conditions, β2 is the weight, YCws s Represents the actual abnormal temperature and humidity, YCws o represents abnormal temperature and humidity under standard conditions, β3 is the weight, and β1+β2+β3=1, 3 represents the three influencing factors of the environmental impact value.
[0025] Preferably, the environmental impact value is evaluated in the following manner:
[0026] When the environmental impact value HJyx is greater than the environmental impact threshold, it means that the current monitoring will be affected by the environment during operation.
[0027] Preferably, the calculation formula of the operating efficiency is:
[0028]
[0029] Among them, YXxl represents operating efficiency, CSsd represents data transmission speed, Db represents packet loss rate, Cw represents error rate, YCsj represents delay time, and S represents a constant, which is used to adjust the impact of delay time in the denominator. It can be selected and adjusted according to actual conditions. The purpose of this constant is to prevent the denominator from being zero or too small, resulting in abnormal efficiency value.
[0030] Preferably, the operating efficiency evaluation method is as follows:
[0031] When the operating efficiency YXxl is less than the operating efficiency transmission threshold, it means that the transmission efficiency of the current monitoring device is insufficient.
[0032] Preferably, the Beidou positioning module numbers the surveillance videos and integrates the numbers to form a surveillance video data set. The expression of the surveillance video data set is: JKsp1, JKsp2, JKsp3, . . . , JKsp n , where JKsp1 is the first surveillance video, JKsp n This is the last surveillance video.
[0033] Preferably, the method for tracking by video remote monitoring is as follows:
[0034] The object that needs to be tracked within the monitoring content is extracted and marked as Gz1. According to the monitoring video, the video monitoring of the tracking object Gz1 is marked. The Beidou positioning module extracts the specific locations of multiple marked monitoring videos and provides feedback.
[0035] Compared with the prior art, the present invention provides an intelligent video remote monitoring and management system based on Beidou, which has the following beneficial effects:
[0036] 1. The present invention evaluates the interference degree of monitoring during operation by combining electromagnetic interference, light interference and noise interference, conducts a comprehensive evaluation on the environmental impact by combining air quality exceeding the standard, haze index, abnormal temperature and humidity, and evaluates the operation efficiency by transmission speed, packet loss rate, error rate and delay time, so as to timely discover abnormal situations in monitoring operation and comprehensively analyze various environments of the monitoring system, so as to help users choose more suitable monitoring equipment and solutions according to the evaluation results and reduce equipment failures.
[0037] 2. The present invention can provide high-precision positioning services by combining the Beidou system, which can be accurate to the centimeter level, facilitating accurate tracking of the location of the target, whether it is a vehicle, a person or other moving object, and can provide continuous navigation and positioning services even in complex environments such as urban canyons and tree cover. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] Figure 1 It is a schematic diagram of the structural system of the present invention. DETAILED DESCRIPTION
[0039] 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.
[0040] See also Figure 1 , an intelligent video remote monitoring and management system based on Beidou, including an interference analysis module, an environmental assessment module, a background monitoring module, a comprehensive management module and a Beidou positioning module;
[0041] The interference analysis module is used to connect the monitor to monitor the interference data of the monitoring system installation area, calculate the interference value based on the interference data, and conduct interference evaluation on the interference value;
[0042] Interference data includes electromagnetic interference, light interference, and noise interference;
[0043] The interference value is calculated as:
[0044]
[0045] Among them, GRsz is the interference value, DCgr s This is real-time electromagnetic interference. This data is measured by a spectrum analyzer. DCgr o is the electromagnetic interference standard value, α1 is the weight, GXgr s This is real-time light interference. This data can be measured by an optical power meter. o is the standard value of light interference, α2 is the weight, ZYgr s For real-time noise interference, this data can be measured by a sound level meter, ZYgr o is the standard value of noise interference, α3 is the weight, and α1+α2+α3=1, 3 are the three interference factors that interfere with monitoring;
[0046] When the calculated result of the interference value GRsz is greater than the monitoring interference impact threshold, it means that the current monitoring will be affected by interference factors during operation;
[0047] By combining electromagnetic interference, light interference and noise interference, the interference degree of monitoring during operation is evaluated, so that corresponding adjustments can be made according to the interference degree, reducing the impact of magnetic interference, light interference and noise interference on monitoring equipment and improving the quality of monitoring equipment operation;
[0048] The environmental assessment module is used to connect the monitor to monitor the environmental impact data of the monitoring system installation area under severe weather conditions, calculate the environmental impact value based on the environmental impact data, and evaluate the environmental impact value;
[0049] Environmental impact data include air quality exceeding standards, haze index, and abnormal temperature and humidity;
[0050] The environmental impact value is calculated as follows:
[0051]
[0052] Among them, HJyx represents the environmental impact value, KQzl s Represents actual air quality exceeding standard data, KQzl o represents the air quality exceeding the standard under standard conditions, β1 is the weight, WMzs s Represents the actual haze index, WHzs o represents the haze index under standard conditions, β2 is the weight, YCws s Represents the actual abnormal temperature and humidity, YCws orepresents abnormal temperature and humidity under standard conditions, β3 is the weight, and β1+β2+β3=1, 3 represents the three influencing factors of the environmental impact value;
[0053] When the environmental impact value HJyx is greater than the environmental impact threshold, it means that the current monitoring will be affected by the environment during operation;
[0054] By comprehensively evaluating the environmental impacts based on excessive air quality, haze index, and abnormal temperature and humidity, it is easy to conduct environmental analysis based on the evaluation results, find areas with less environmental impacts and re-deploy controls, reduce the problems of environmental impact monitoring, and improve the quality of monitoring operations;
[0055] The background monitoring module is used to connect to the monitor to detect the running transmission data of the monitoring platform, calculate the running efficiency based on the running transmission data, and evaluate the running efficiency;
[0056] Operational transmission data includes data transmission speed, packet loss rate, error rate, and delay time;
[0057] The calculation formula for operating efficiency is:
[0058]
[0059] Among them, YXxl represents the operating efficiency, CSsd represents the data transmission speed, Db represents the packet loss rate, Cw represents the error rate, YCsj represents the delay time, and S represents a constant, which is used to adjust the impact of the delay time in the denominator;
[0060] When the operating efficiency YXxl is less than the operating efficiency transmission threshold, it means that the current monitoring device transmission efficiency is insufficient;
[0061] Evaluate the operation efficiency through transmission speed, packet loss rate, error rate, and delay time, so as to timely discover abnormal situations in monitoring operation. Transmission speed may cause problems such as video freeze and delay. Packet loss may cause mosaic and screen distortion in the video, which may even make it impossible to watch normally. Too high error rate will affect the integrity and accuracy of data, and may lead to misjudgment or missed judgment. By regularly monitoring these indicators, abnormal situations in the monitoring system, such as network congestion and equipment failure, can be discovered in time, and corresponding measures can be taken to repair and optimize. At the same time, these indicators can also serve as an important basis for evaluating the performance of the monitoring system, helping users choose more suitable monitoring equipment and solutions.
[0062] The interference analysis module, the environmental assessment module, and the background monitoring module send the detection data and the assessment data to the comprehensive management module;
[0063] Based on the evaluation results, the comprehensive management module generates evaluation reports and provides feedback on monitoring that is affected by interference factors, the environment, or the transmission efficiency of monitoring equipment is insufficient;
[0064] The Beidou positioning module is connected to the integrated management module through a network cable, and continuously monitors the video remote monitoring that is not affected by interference factors, is not affected by the environment, and has sufficient transmission efficiency of the monitoring equipment, and tracks the video remote monitoring at the same time;
[0065] The Beidou positioning module numbers the surveillance videos and integrates the numbers to form a surveillance video data set. The expression of the surveillance video data set is: JKsp1, JKsp2, JKspn3, ···, JKsp n , where JKsp1 is the first surveillance video, JKsp n For the last surveillance video;
[0066] The method of tracking by video remote monitoring is as follows:
[0067] Extract the object that needs to be tracked in the monitoring content and mark it as Gz1. According to the monitoring video, mark the video monitoring of the tracking object Gz1. The Beidou positioning module extracts the specific locations of multiple marked monitoring videos and provides feedback;
[0068] The BeiDou system can provide high-precision positioning services, accurate to the centimeter level, making it easy to accurately track the location of targets, whether they are vehicles, personnel or other moving objects, and can provide continuous navigation and positioning services even in complex environments such as urban canyons and tree cover.
[0069] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. An intelligent video remote monitoring and management system based on Beidou, characterized in that: Including interference analysis module, environmental assessment module, background monitoring module, comprehensive management module and Beidou positioning module; The interference analysis module is used to connect to the monitor to monitor the interference data of the monitoring system installation area, calculate the interference value according to the interference data, and perform interference evaluation on the interference value; The environmental assessment module is used to connect the monitor to monitor the environmental impact data of the monitoring system installation area under severe weather conditions, calculate the environmental impact value based on the environmental impact data, and evaluate the environmental impact value; The background monitoring module is used to connect to the monitor to detect the operation transmission data of the monitoring platform, calculate the operation efficiency according to the operation transmission data, and evaluate the operation efficiency; The interference analysis module, the environmental assessment module, and the background monitoring module send the detection data and the assessment data to the comprehensive management module; The comprehensive management module generates an evaluation report based on the evaluation results to provide feedback on monitoring that is affected by interference factors, the environment, or the transmission efficiency of monitoring equipment is insufficient; The Beidou positioning module is connected to the integrated management module via a network cable, and continuously monitors the video remote monitoring that is not affected by interference factors, is not affected by the environment, and has sufficient transmission efficiency of the monitoring equipment, and tracks the video remote monitoring at the same time.
2. The Beidou-based intelligent video remote monitoring and management system according to claim 1 is characterized in that: The interference data includes electromagnetic interference, light interference and noise interference; The environmental impact data include air quality exceeding the standard, haze index, abnormal temperature and humidity; The operation transmission data includes data transmission speed, packet loss rate, error rate, and delay time.
3. The Beidou-based intelligent video remote monitoring and management system according to claim 2 is characterized in that: The interference value is calculated as follows: Among them, GRsz is the interference value, DCgr s This is real-time electromagnetic interference. This data is measured by a spectrum analyzer. DCgr o is the standard value of electromagnetic interference, α1 is the weight, GXgr s This is real-time light interference. This data can be measured by an optical power meter. o is the standard value of light interference, α2 is the weight, ZYgr s For real-time noise interference, this data can be measured by a sound level meter, ZYgr o is the noise interference standard value, α3 is the weight, and α1+α2+α3=1, 3 are the three interference factors that interfere with monitoring.
4. The Beidou-based intelligent video remote monitoring and management system according to claim 3 is characterized in that: The interference assessment method is: When the calculated result of the interference value GRsz is greater than the monitoring interference impact threshold, it means that the current monitoring will be affected by interference factors during operation.
5. The Beidou-based intelligent video remote monitoring and management system according to claim 2 is characterized in that: The environmental impact value is calculated as follows: Among them, HJyx represents the environmental impact value, KQzl s Represents actual air quality exceeding standard data, KQzl o represents the air quality exceeding the standard under standard conditions, β1 is the weight, WMzs s Represents the actual haze index, WMzs o represents the haze index under standard conditions, β2 is the weight, YCws s Represents the actual abnormal temperature and humidity, YCws o represents abnormal temperature and humidity under standard conditions, β3 is the weight, and β1+β2+β3=1, 3 represents the three influencing factors of the environmental impact value.
6. The Beidou-based intelligent video remote monitoring and management system according to claim 5 is characterized in that: The environmental impact values are evaluated in the following way: When the environmental impact value HJyx is greater than the environmental impact threshold, it means that the current monitoring will be affected by the environment during operation.
7. The Beidou-based intelligent video remote monitoring and management system according to claim 2 is characterized in that: The calculation formula of the operating efficiency is: Among them, YXxl represents the operating efficiency, CSsd represents the data transmission speed, Db represents the packet loss rate, Cw represents the error rate, YCsj represents the delay time, and S represents a constant, which is used to adjust the impact of the delay time in the denominator.
8. The Beidou-based intelligent video remote monitoring and management system according to claim 7 is characterized in that: The operating efficiency evaluation method is as follows: When the operating efficiency YXxl is less than the operating efficiency transmission threshold, it means that the transmission efficiency of the current monitoring device is insufficient.
9. The Beidou-based intelligent video remote monitoring and management system according to claim 1 is characterized in that: The Beidou positioning module numbers the surveillance videos and integrates the numbers to form a surveillance video data set. The expression of the surveillance video data set is: JKsp1, JKsp2, JKsp3, . . . , JKsp n , where JKsp1 is the first surveillance video, JKsp n This is the last surveillance video.
10. The Beidou-based intelligent video remote monitoring and management system according to claim 9 is characterized in that: The method for tracking by video remote monitoring is as follows: The object that needs to be tracked within the monitoring content is extracted and marked as Gz1. According to the monitoring video, the video monitoring of the tracking object Gz1 is marked. The Beidou positioning module extracts the specific locations of multiple marked monitoring videos and provides feedback.
Citation Information
Patent Citations
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Image acquisition method and device based on multiple cameras and storage medium
CN119052467A