Park security and protection monitoring intelligent early warning system based on weak current engineering
Through the park security monitoring intelligent early warning system based on weak current engineering, the analysis of regional adaptability and multi-regional coordination of the park monitoring network is achieved, and the problems of low monitoring efficiency and inability to evaluate safety in the existing technology are solved, which improves the Monitor network performance and security performance.
Patent Information
- Application Number
- CN202411711618.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-27
- Publication Date
- 2024-12-27
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing park monitoring system cannot conduct single area adaptability analysis and multiple area coordination analysis, resulting in low monitoring efficiency, difficulty in real-time assessment and timely early warning of security control, and inaccurate assessment of the performance and security of the monitoring network.
Adopt a park security monitoring intelligent early warning system based on weak current engineering, including a performance detection platform, a single-area monitoring adaptive analysis unit, a multi-area monitoring coordination analysis unit, a monitoring network security control unit and a sub-scene performance detection unit, through data analysis and information processing Judge regional adaptability and multi-region coordination, conduct monitoring network security control detection and sub-scene performance detection.
It improves the accuracy and security of the performance detection of the park monitoring network, enhances the monitoring intensity and security performance, improves the overall operation stability and efficiency of the monitoring network, and ensures the real-time monitoring efficiency and satisfaction of the monitoring network.
Smart Images
Figure CN119211490A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of park monitoring, detection and early warning, and in particular to a park security monitoring intelligent early warning system based on weak current engineering. Background Art
[0002] The monitoring system is one of the most widely used systems in the security system. The more suitable construction site monitoring system on the market is the handheld video communication device. Video monitoring is now the mainstream. From the earliest analog monitoring to the popular digital monitoring in previous years to the emerging network video monitoring, earth-shaking changes have taken place.
[0003] However, in the existing technology, it is impossible to perform adaptability analysis on a single area and coordination analysis on multiple areas in the park monitoring network, which reduces the monitoring efficiency of the park monitoring network and makes it impossible to perform detection and early warning based on real-time monitoring performance. At the same time, it is also impossible to analyze and detect the security control of the monitoring network, resulting in the inability to accurately evaluate the security of the park monitoring network in real time and the inability to provide timely early warnings on current performance.
[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 solve the above-mentioned problems and to propose a campus security monitoring intelligent early warning system based on weak current engineering.
[0006] The purpose of the present invention can be achieved by the following technical solutions: a campus security monitoring intelligent early warning system based on weak current engineering, including a performance detection platform, the performance detection platform is communicatively connected with a single-area monitoring adaptation analysis unit, a multi-area monitoring coordination analysis unit, a monitoring network security control unit and a scenario-based performance detection unit;
[0007] The single-area monitoring adaptation analysis unit performs regional adaptability analysis on the park monitoring, divides the park monitoring network coverage area into sub-areas, and marks each sub-area as an adaptation scene end. At the same time, the corresponding monitoring equipment in the sub-area is marked as an adaptation device end. The adaptation scene end and the adaptation device end jointly construct a regional monitoring group, obtain the recording data and traffic data of the regional monitoring group in the sub-area, and judge whether the adaptability of a single sub-area is qualified based on data analysis;
[0008] The multi-region monitoring coordination analysis unit performs multi-region monitoring coordination analysis on the area covered by the park monitoring network, divides the coordination of regional monitoring groups within the area covered by the park monitoring network, sets the monitoring coordination of regional monitoring groups without data intercommunication and transmission and the areas where the regional monitoring groups are located are adjacent as regional coordination, and sets the monitoring coordination of regional monitoring groups with data intercommunication and transmission and the areas where the regional monitoring groups are located are not adjacent as data coordination; collects regional coordination information and data coordination information, and judges whether the coordination of multiple sub-areas is qualified according to information processing;
[0009] The monitoring network security control unit performs monitoring network security control detection when the single-area adaptation is qualified and the multi-area coordination is qualified. After the monitoring network security control detection and analysis, the scenario performance detection unit performs scenario performance detection on the area covered by the park monitoring network.
[0010] As a preferred embodiment of the present invention, the recording data and the traffic data are respectively the numerical ratio of the average number of passing objects at the adaptation scene end in the regional monitoring group corresponding to a single sub-area to the maximum number of passing objects at the adaptation device end that meets the recording clarity, and the maximum consecutive number of times the number of passing objects at the adaptation scene end in the regional monitoring group corresponding to a single sub-area exceeds the number of passing objects at the adaptation device end.
[0011] As a preferred embodiment of the present invention, the data analysis process is as follows:
[0012] If the recorded data exceeds the quantity value ratio threshold, and the passing data exceeds the maximum consecutive number threshold, an adaptability abnormality signal is generated;
[0013] If the recorded data exceeds the quantity value ratio threshold, or the passing data exceeds the maximum consecutive number threshold, and only one of the two situations occurs, an adaptability inefficiency signal is generated;
[0014] If the recorded data does not exceed the quantity value ratio threshold, and the passing data does not exceed the maximum continuous number threshold, an adaptive high efficiency signal is generated.
[0015] As a preferred embodiment of the present invention, the regional coordination information and the data coordination information are respectively the deviation value of the moving position distance between the running trajectory of the passing object and the running trajectory formed by each frame of the monitoring image when the adjacent regional monitoring group monitors the same passing object corresponding to the adjacent sub-region boundary, and the maximum deviation time of the starting time of the regional monitoring group coordinated by the remaining data to record the warning for the sub-region boundary based on the direction of the warning regional monitoring group when any regional monitoring group issues an alert when the non-adjacent regional monitoring group monitors the passing object in the sub-region.
[0016] As a preferred embodiment of the present invention, the information processing process is as follows:
[0017] If the regional coordination information exceeds the mobile position distance deviation value threshold, or the data coordination information exceeds the maximum deviation duration threshold, a multi-region coordination abnormality signal is generated;
[0018] If the regional coordination information does not exceed the moving position distance deviation value threshold, and the data coordination information does not exceed the maximum deviation duration threshold, a multi-region coordination normal signal is generated.
[0019] As a preferred embodiment of the present invention, the operation process of the monitoring network security control unit is as follows:
[0020] A virtual area location map is constructed according to the location of the sub-areas in the monitoring network, and the areas in the virtual area location map are connected according to whether the sub-areas have access conditions; after setting an early warning access object in any area in the virtual area location map, the movement route is predicted based on the area where the current early warning access object is located, and the predicted movement route is set based on the area where the early warning access object is located combined with the access route of the virtual area location map. During the movement route prediction process, the area where the early warning access object is located is marked when it moves to an adjacent sub-area, and the mark is a real-time update area.
[0021] As a preferred embodiment of the present invention, after the adjacent sub-region of the area where the warning passage object is located is set as the real-time update area, the ratio of the non-intersecting route update buffer time of the passage route covering the current adjacent sub-region and the predicted moving route to the time consumed for changing the movement of the current area of the warning passage object is obtained; at the same time, after the adjacent sub-region of the area where the warning passage object is located is not set as the real-time update area, the overlapping amount of the sub-regions within the corresponding routes of the moving route covering the current adjacent sub-region and the remaining non-excluded moving routes of the predicted moving route are excluded, and they are marked as update data and exclusion data, respectively, and compared with the duration ratio threshold and the area overlap threshold, respectively.
[0022] As a preferred embodiment of the present invention, if the update data exceeds the time ratio threshold, or the excluded data exceeds the area overlap threshold, the monitoring network security control analysis is determined to be abnormal, a security control abnormality signal is generated, and the security control abnormality signal is sent to the performance detection platform;
[0023] If the updated data does not exceed the duration ratio threshold, and the excluded data does not exceed the area overlap threshold, the monitoring network security control analysis is determined to be normal, a security control normal signal is generated, and the security control normal signal is sent to the performance detection platform.
[0024] As a preferred implementation of the present invention, the operation process of the scenario-based performance detection unit is as follows:
[0025] Obtain the deviation of the constant mean value of the monitoring image clarity when there are no passing objects in the sub-areas covered by the park monitoring network and the maximum growth rate of the deviation of the operation and maintenance cycle of the corresponding monitoring equipment in the sub-areas covered by the park monitoring network; obtain the sub-scenario performance detection coefficient of the area covered by the park monitoring network through analysis; compare the sub-scenario performance detection coefficient of the area covered by the park monitoring network with the sub-scenario performance detection coefficient threshold.
[0026] As a preferred implementation mode of the present invention, if the sub-scenario performance detection coefficient of the area covered by the park monitoring network exceeds the sub-scenario performance detection coefficient threshold, a performance detection abnormality signal is generated and the performance detection abnormality signal is sent to the performance detection platform; if the sub-scenario performance detection coefficient of the area covered by the park monitoring network does not exceed the sub-scenario performance detection coefficient threshold, a performance detection normal signal is generated and the performance detection normal signal is sent to the performance detection platform.
[0027] Compared with the prior art, the present invention has the following beneficial effects:
[0028] 1. In the present invention, a regional adaptability analysis is performed on the park monitoring, and an adaptability analysis is performed based on the area where the park monitoring network is located and the monitoring equipment in the corresponding area, so as to reasonably judge whether the monitoring equipment meets the needs of the current installation area, thereby ensuring the accuracy of the performance detection of the park monitoring network. At the same time, it can also ensure that the monitoring equipment is adapted to the area where it is located, improve the intensity of park monitoring and enhance the security of the park; a multi-region monitoring coordination analysis is performed on the area covered by the park monitoring network to ensure that multiple regional monitoring groups in the area covered by the park monitoring network cooperate with each other to meet the actual network security needs, thereby improving the monitoring efficiency of the area covered by the park monitoring network and enhancing the detection performance of the park monitoring network.
[0029] 2. In the present invention, a monitoring network security control analysis is performed on the area covered by the park monitoring network. When a single area is qualified and multiple areas are qualified, a monitoring network security control test is performed, thereby improving the overall security performance of the monitoring network to ensure the satisfaction of the monitoring network. At the same time, the monitoring network can be regulated according to the monitoring intensity to ensure the real-time monitoring efficiency of the monitoring network; scenario-based performance testing is performed on the area covered by the park monitoring network, and an overall performance evaluation test is performed on the area covered by the park monitoring network, thereby improving the operating stability and efficiency of the park monitoring network. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.
[0031] Figure 1 It is a principle block diagram of the present invention;
[0032] Figure 2 It is a signal transmission flow chart of the present invention. DETAILED DESCRIPTION
[0033] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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.
[0034] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0035] See also Figure 1 As shown, the campus security monitoring intelligent early warning system based on weak current engineering includes a performance detection platform, which is connected to a single-area monitoring adaptation analysis unit, a multi-area monitoring coordination analysis unit, a monitoring network security control unit, and a scenario-based performance detection unit;
[0036] See also Figure 2 As shown, this system is applicable to weak current engineering, and when the park where the weak current engineering is located is monitored, the performance of the monitoring network is tested; Figure 2 The flow chart is Figure 1 Further process disclosure of the block diagram;
[0037] The performance detection platform generates a single-area monitoring adaptation analysis signal and sends the single-area monitoring adaptation analysis signal to the single-area monitoring adaptation analysis unit. After receiving the single-area monitoring adaptation analysis signal, the single-area monitoring adaptation analysis unit performs regional adaptability analysis on the park monitoring. According to the adaptability analysis of the area where the park monitoring network is located and the monitoring equipment in the corresponding area, it is reasonably determined whether the monitoring equipment meets the requirements of the current installation area, thereby ensuring the accuracy of the performance detection of the park monitoring network. At the same time, it can also ensure that the monitoring equipment is adapted to the area where it is located, improve the monitoring strength of the park, and enhance the security of the park.
[0038] The park monitoring network coverage area is divided into i sub-areas, where i is a natural number greater than one, and each sub-area is marked as an adaptation scene end, and the corresponding monitoring device in the sub-area is marked as an adaptation device end, and the adaptation scene end and the adaptation device end are jointly constructed into a regional monitoring group;
[0039] The numerical ratio of the average number of passing objects at the adaptation scene end in the regional monitoring group corresponding to a single sub-region to the maximum number of passable objects at the adaptation device end that meet the recording clarity is obtained, and the maximum consecutive number of times the number of passing objects at the adaptation scene end in the regional monitoring group corresponding to a single sub-region exceeds the number of passing objects at the adaptation device end is obtained, and the numerical ratio of the average number of passing objects at the adaptation scene end in the regional monitoring group corresponding to a single sub-region to the maximum number of passable objects at the adaptation device end that meet the recording clarity, and the maximum consecutive number of times the number of passing objects at the adaptation scene end in the regional monitoring group corresponding to a single sub-region exceeds the number of passing objects at the adaptation device end are marked as recording data and passing data, respectively, where the passing objects are represented as moving objects such as pedestrians and vehicles passing by, and are compared with the number value ratio threshold and the maximum consecutive number threshold, respectively:
[0040] If the ratio of the average number of passable objects at the adaptation scene end in the regional monitoring group corresponding to a single sub-region to the maximum number of passable objects at the adaptation device end that meets the recording clarity exceeds the number ratio threshold, and the maximum consecutive number of times that the number of passable objects at the adaptation scene end in the regional monitoring group corresponding to a single sub-region exceeds the number of passable objects at the adaptation device end exceeds the maximum consecutive number threshold, then the adaptability of the regional monitoring group of the current sub-region is determined to be abnormal, an adaptability abnormality signal is generated, and the adaptability abnormality signal and the corresponding sub-region number are sent to the performance detection platform;
[0041] If the ratio of the average number of passable objects at the adaptation scene end in the regional monitoring group corresponding to a single sub-region to the maximum number of passable objects at the adaptation device end that meet the recording clarity exceeds the quantity ratio threshold, or the maximum consecutive number of the number of passable objects at the adaptation scene end in the regional monitoring group corresponding to a single sub-region exceeds the maximum consecutive number threshold, and only one of the two situations occurs, then it is determined that the adaptability of the regional monitoring group of the current sub-region is inefficient, an adaptability inefficiency signal is generated, and the adaptability inefficiency signal and the corresponding sub-region number are sent to the performance detection platform;
[0042] If the numerical ratio of the average number of passable objects at the adaptation scene end in the regional monitoring group corresponding to a single sub-region to the maximum number of passable objects at the adaptation device end that meets the recording clarity does not exceed the numerical ratio threshold, and the maximum consecutive number of passable objects at the adaptation scene end in the regional monitoring group corresponding to a single sub-region does not exceed the maximum consecutive number threshold, then it is determined that the regional monitoring group of the current sub-region is highly adaptable, an adaptability efficient signal is generated, and the adaptability efficient signal and the corresponding sub-region number are sent to the performance detection platform;
[0043] After receiving the adaptability high-efficiency signal, the adaptability low-efficiency signal or the adaptability abnormality signal, the performance detection platform will compare the adaptability device ends of the sub-areas corresponding to the adaptability abnormality signal and the adaptability low-efficiency signal. If no sub-area is suitable, the device will be replaced, and the sub-area with the adaptability abnormality signal will be replaced first.
[0044] After the adaptability of any regional monitoring group in the area covered by the park monitoring network is qualified, a multi-region monitoring coordination analysis signal is generated and sent to the multi-region monitoring coordination analysis unit. After receiving the multi-region monitoring coordination analysis signal, the multi-region monitoring coordination analysis unit conducts a multi-region monitoring coordination analysis on the area covered by the park monitoring network, ensuring that multiple regional monitoring groups in the area covered by the park monitoring network cooperate with each other to meet the actual network security needs, thereby improving the monitoring efficiency of the area covered by the park monitoring network and enhancing the detection performance of the park monitoring network;
[0045] The regional monitoring groups in the area covered by the park monitoring network are divided into coordination groups. The monitoring coordination of the regional monitoring groups without data intercommunication and transmission and the areas where the regional monitoring groups are located are adjacent is set as regional coordination, and the monitoring coordination of the regional monitoring groups with data intercommunication and transmission and the areas where the regional monitoring groups are located are not adjacent is set as data coordination;
[0046] It is understandable that in actual monitoring, monitoring equipment in non-adjacent areas can carry out targeted monitoring of multiple areas through data communication, while in non-targeted monitoring, monitoring equipment in adjacent areas forms the role of coordinated monitoring of adjacent areas;
[0047] Analyze the regional coordination within the area covered by the park monitoring network, and obtain the corresponding moving position distance deviation value between the running trajectory of the running object and the running trajectory formed by each frame of the monitoring image when the adjacent regional monitoring group monitors the same passing object corresponding to the adjacent sub-region boundary, and mark the corresponding moving position distance deviation value between the running trajectory of the passing object and the running trajectory formed by each frame of the monitoring image when the adjacent regional monitoring group monitors the same passing object corresponding to the adjacent sub-region boundary as regional coordination information; analyze the data coordination within the area covered by the park monitoring network, and obtain the maximum deviation duration of the starting time when the regional monitoring group that cooperates with the data uses the warning area monitoring group orientation to record the warning for the boundary of the sub-region when any regional monitoring group issues an alarm when the non-adjacent regional monitoring group monitors the passing object corresponding to the sub-region, and mark the maximum deviation duration of the starting time when the regional monitoring group that cooperates with the data uses the warning area monitoring group orientation to record the warning for the boundary of the sub-region when any regional monitoring group issues an alarm when the non-adjacent regional monitoring group monitors the passing object corresponding to the sub-region as data coordination information;
[0048] The moving position distance deviation value corresponding to the moving position trajectory and the moving position distance deviation value corresponding to the moving position trajectory formed by each frame of the monitoring image, and the maximum deviation duration of the starting time when the regional monitoring group cooperates with the other data to record the warning of the sub-region boundary based on the warning regional monitoring group direction are compared with the moving position distance deviation value threshold and the maximum deviation duration threshold respectively;
[0049] If the moving position distance deviation value corresponding to the running trajectory of the passing object and the running trajectory formed by each frame of the monitoring image exceeds the moving position distance deviation value threshold, or when any regional monitoring group issues an alarm, the maximum deviation duration of the starting time of the regional monitoring group coordinated by the other data for the warning recording of the boundary of the sub-region in which it is located based on the direction of the warning regional monitoring group exceeds the maximum deviation duration threshold, then it is determined that the multi-region monitoring coordination analysis in the area covered by the park monitoring network is abnormal, and a multi-region coordination abnormality signal is generated and sent to the performance detection platform. After receiving the multi-region coordination abnormality signal, the performance detection platform performs equipment control on each sub-region, and performs targeted equipment control on the regional coordination and data coordination between the sub-regions to ensure that the equipment performance meets the actual detection needs;
[0050] If the moving position distance deviation value corresponding to the moving position trajectory of the passing object and the moving position distance deviation value formed by each frame of the monitoring image does not exceed the moving position distance deviation value threshold, and when any regional monitoring group issues an early warning, the maximum deviation duration of the starting time when the regional monitoring group coordinated by the other data uses the early warning regional monitoring group orientation to record the early warning for the sub-region boundary does not exceed the maximum deviation duration threshold, then it is determined that the multi-region monitoring coordination analysis in the area covered by the park monitoring network is normal, and a multi-region coordination normal signal is generated and sent to the performance detection platform;
[0051] After the performance detection platform receives the normal signal of multi-area coordination, it generates a monitoring network security control signal and sends the monitoring network security control signal to the monitoring network security control unit. After receiving the monitoring network security control signal, the monitoring network security control unit conducts monitoring network security control analysis on the area covered by the park monitoring network. When the single area is qualified and the multi-area coordination is qualified, the monitoring network security control detection is performed, which improves the overall security performance of the monitoring network to ensure the satisfaction of the monitoring network. At the same time, the monitoring network can be adjusted according to the monitoring intensity to ensure the real-time monitoring efficiency of the monitoring network.
[0052] A virtual area location map is constructed according to the location of the sub-area in the monitoring network, and the areas in the virtual area location map are connected according to whether the sub-area has access conditions, where the access conditions are access roads, facilities, etc. If there are access conditions, the corresponding areas in the virtual area location map are connected, otherwise they are not connected;
[0053] After setting a warning traffic object in any area in the virtual area location map, the moving route is predicted based on the area where the current warning traffic object is located, and the predicted moving route is set based on the area where the warning traffic object is located combined with the route of the virtual area location map. During the mobile route prediction process, the area where the warning traffic object is located is marked as moving to the adjacent sub-area, and marked as the real-time update area; after the adjacent sub-area of the area where the warning traffic object is located is set as the real-time update area, the non-intersecting route update buffer time covering the route of the current adjacent sub-area and the predicted moving route is calculated to the ratio of the time taken to change the movement of the current area of the warning traffic object, and at the same time, the adjacent sub-area of the area where the warning traffic object is located is not set as the real-time update area. After that, the overlap amount of the moving routes covering the current adjacent sub-area and the corresponding sub-area of the remaining non-excluded moving routes of the predicted moving routes is excluded, and the adjacent sub-area of the area where the warning passage object is located is set as the real-time update area. The ratio of the update buffer time of the non-intersecting routes of the passage routes covering the current adjacent sub-area and the predicted moving routes to the time consumed by the warning passage object to change the movement in the current area, and the adjacent sub-area of the area where the warning passage object is located is not set as the real-time update area, and the overlap amount of the moving routes covering the current adjacent sub-area and the corresponding sub-area of the remaining non-excluded moving routes of the predicted moving routes are marked as update data and exclusion data respectively, and compared with the time ratio threshold and the area overlap threshold respectively:
[0054] If the adjacent sub-area of the area where the warning passage object is located is set as a real-time update area, the ratio of the non-intersecting route update buffer time of the passage route covering the current adjacent sub-area and the predicted movement route to the time consumed by the warning passage object in the current area to change movement exceeds the time ratio threshold, or if the adjacent sub-area of the area where the warning passage object is located is not set as a real-time update area, the sub-area overlap in the corresponding route of the movement route covering the current adjacent sub-area and the predicted movement route after excluding the movement route covering the current adjacent sub-area exceeds the area overlap threshold, then the monitoring network security control analysis is determined to be abnormal, a security control abnormality signal is generated and sent to the performance detection platform. After receiving the security control abnormality signal, the performance detection platform operates and maintains the monitoring equipment in the sub-area of the monitoring network, and at the same time controls the data analysis of the predicted route, and increases the amount of data collection, such as the movement position, speed and other parameters of the warning passage object;
[0055] If the adjacent sub-region of the area where the warning passage object is located is set as a real-time update area, the ratio of the non-intersecting route update buffer time of the passage route covering the current adjacent sub-region and the predicted moving route to the time consumed by the warning passage object to change the movement in the current area does not exceed the time ratio threshold, and after the adjacent sub-region of the area where the warning passage object is located is not set as a real-time update area, the overlap of the sub-regions in the corresponding routes of the moving route excluding the current adjacent sub-region and the remaining non-excluded moving routes of the predicted moving route does not exceed the area overlap threshold, then it is determined that the monitoring network security control analysis is normal, and a security control normal signal is generated and sent to the performance detection platform;
[0056] At the same time, a sub-scenario performance detection signal is generated and sent to the sub-scenario performance detection unit. After receiving the sub-scenario performance detection signal, the sub-scenario performance detection unit performs sub-scenario performance detection on the area covered by the park monitoring network, and performs overall performance evaluation and detection on the area covered by the park monitoring network, thereby improving the operation stability and efficiency of the park monitoring network;
[0057] Obtain the deviation of the constant mean value of the surveillance image clarity when there is or is not a passing object passing through the sub-area within the coverage area of the park monitoring network and the maximum growth rate of the deviation of the operation and maintenance cycle of the corresponding surveillance equipment in the sub-area within the coverage area of the park monitoring network, and mark the deviation of the constant mean value of the surveillance image clarity when there is or is not a passing object passing through the sub-area within the coverage area of the park monitoring network and the maximum growth rate of the deviation of the operation and maintenance cycle of the corresponding surveillance equipment in the sub-area within the coverage area of the park monitoring network as JZ and SD respectively;
[0058] By formula Obtain the scenario-specific performance detection coefficient G for the area covered by the campus monitoring network, where yt1 and yt2 are preset proportional coefficients of the deviation of the constant mean value of clarity and the maximum growth rate of the deviation of the operation and maintenance cycle, respectively, and are marked as clarity data and operation and maintenance cycle data, respectively. β is used as an error correction factor, and its value is 0.98;
[0059] Compare the scenario-based performance detection coefficient G of the area covered by the campus monitoring network with the scenario-based performance detection coefficient threshold:
[0060] If the sub-scenario performance detection coefficient G of the area covered by the park monitoring network exceeds the sub-scenario performance detection coefficient threshold, the sub-scenario performance detection of the area covered by the park monitoring network is determined to be abnormal, and a performance detection abnormality signal is generated and sent to the performance detection platform. After receiving the performance detection abnormality signal, the performance detection platform performs performance detection and maintenance on the monitoring equipment, and at the same time performs operation and maintenance cycle control on the same batch of monitoring equipment;
[0061] If the sub-scenario performance detection coefficient G of the area covered by the park monitoring network does not exceed the sub-scenario performance detection coefficient threshold, it is determined that the sub-scenario performance detection of the area covered by the park monitoring network is normal, and a performance detection normal signal is generated and sent to the performance detection platform;
[0062] This technical solution predicts the regional movement of the warning object. The faster the warning object moves, the higher the accuracy of the corresponding regional route prediction. Conversely, the slower the movement, the easier it is for management personnel to directly control it.
[0063] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;
[0064] When the present invention is in use, the single-area monitoring adaptation analysis unit performs regional adaptability analysis on the park monitoring, divides the park monitoring network coverage area into sub-areas, obtains the recording data and traffic data of the regional monitoring group within the sub-area, and judges whether the adaptability of a single sub-area is qualified based on the data analysis; collects regional coordination information and data coordination information, and judges whether the coordination of multiple sub-areas is qualified based on information processing; the monitoring network security control unit performs monitoring network security control detection when the single-area adaptation is qualified and the multi-area coordination is qualified, and after the monitoring network security control detection and analysis, the scenario performance detection unit performs scenario performance detection on the park monitoring network coverage area.
[0065] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.
Claims
1. The park security monitoring intelligent early warning system based on weak current engineering is characterized by: It includes a performance detection platform, which is connected to a single-area monitoring adaptation and analysis unit, a multi-area monitoring coordination and analysis unit, a monitoring network security control unit, and a scenario-based performance detection unit; The single-area monitoring adaptation analysis unit performs regional adaptability analysis on the park monitoring, divides the park monitoring network coverage area into sub-areas, and marks each sub-area as an adaptation scene end. At the same time, the corresponding monitoring equipment in the sub-area is marked as an adaptation device end. The adaptation scene end and the adaptation device end jointly construct a regional monitoring group, obtain the recording data and traffic data of the regional monitoring group in the sub-area, and judge whether the adaptability of a single sub-area is qualified based on data analysis; The multi-region monitoring coordination analysis unit performs multi-region monitoring coordination analysis on the area covered by the park monitoring network, divides the coordination of regional monitoring groups within the area covered by the park monitoring network, sets the monitoring coordination of regional monitoring groups without data intercommunication and transmission and the areas where the regional monitoring groups are located are adjacent as regional coordination, and sets the monitoring coordination of regional monitoring groups with data intercommunication and transmission and the areas where the regional monitoring groups are located are not adjacent as data coordination; collects regional coordination information and data coordination information, and judges whether the coordination of multiple sub-areas is qualified according to information processing; The monitoring network security control unit performs monitoring network security control detection when the single-area adaptation is qualified and the multi-area coordination is qualified. After the monitoring network security control detection and analysis, the scenario performance detection unit performs scenario performance detection on the area covered by the park monitoring network.
2. According to claim 1, the park security monitoring intelligent early warning system based on weak current engineering is characterized in that: The recording data and traffic data are respectively the numerical ratio of the average number of passing objects on the adapted scene side in the regional monitoring group corresponding to a single sub-area to the maximum number of passing objects on the adapted device side that meet the recording clarity, and the maximum consecutive number of times the number of passing objects on the adapted scene side in the regional monitoring group corresponding to a single sub-area exceeds the number of passing objects on the adapted device side.
3. The park security monitoring intelligent early warning system based on weak current engineering according to claim 2 is characterized in that: The data analysis process is as follows: If the recorded data exceeds the quantity value ratio threshold, and the passing data exceeds the maximum consecutive number threshold, an adaptability abnormality signal is generated; If the recorded data exceeds the quantity value ratio threshold, or the passing data exceeds the maximum consecutive number threshold, and only one of the two situations occurs, an adaptability inefficiency signal is generated; If the recorded data does not exceed the quantity value ratio threshold, and the passing data does not exceed the maximum continuous number threshold, an adaptive high efficiency signal is generated.
4. The park security monitoring intelligent early warning system based on weak current engineering according to claim 1 is characterized in that: The regional coordination information and data coordination information are respectively the deviation value of the moving position distance between the running trajectory of the passing object and the running trajectory formed by each frame of the monitoring image when the adjacent regional monitoring group monitors the same passing object corresponding to the adjacent sub-region boundary, and the maximum deviation time of the starting time of the warning recording of the sub-region boundary by the other data coordinated regional monitoring groups based on the direction of the warning regional monitoring group when any regional monitoring group issues an alert when the non-adjacent regional monitoring group monitors the passing object in the sub-region.
5. The park security monitoring intelligent early warning system based on weak current engineering according to claim 4 is characterized in that: The information processing process is as follows: If the regional coordination information exceeds the mobile position distance deviation value threshold, or the data coordination information exceeds the maximum deviation duration threshold, a multi-region coordination abnormality signal is generated; If the regional coordination information does not exceed the moving position distance deviation value threshold, and the data coordination information does not exceed the maximum deviation duration threshold, a multi-region coordination normal signal is generated.
6. The park security monitoring intelligent early warning system based on weak current engineering according to claim 1 is characterized in that: The operation process of monitoring network security control unit is as follows: A virtual area location map is constructed according to the location of the sub-areas in the monitoring network, and the areas in the virtual area location map are connected according to whether the sub-areas have access conditions; after setting an early warning access object in any area in the virtual area location map, the movement route is predicted based on the area where the current early warning access object is located, and the predicted movement route is set based on the area where the early warning access object is located combined with the access route of the virtual area location map. During the movement route prediction process, the area where the early warning access object is located is marked when it moves to an adjacent sub-area, and the mark is a real-time update area.
7. The park security monitoring intelligent early warning system based on weak current engineering according to claim 6 is characterized in that: After the adjacent sub-region of the area where the warning passage object is located is set as the real-time update area, the ratio of the update buffer time of the non-intersecting route of the passage route covering the current adjacent sub-region and the predicted moving route to the time consumed for changing the movement of the current area of the warning passage object is obtained; at the same time, after the adjacent sub-region of the area where the warning passage object is located is not set as the real-time update area, the moving route covering the current adjacent sub-region and the remaining non-excluded moving route of the predicted moving route are excluded, and they are marked as update data and exclusion data respectively, and compared with the time ratio threshold and the area overlap threshold respectively.
8. The park security monitoring intelligent early warning system based on weak current engineering according to claim 7 is characterized in that: If the update data exceeds the duration ratio threshold, or the excluded data exceeds the area overlap threshold, the monitoring network security control analysis is determined to be abnormal, a security control abnormality signal is generated, and the security control abnormality signal is sent to the performance detection platform; If the updated data does not exceed the duration ratio threshold, and the excluded data does not exceed the area overlap threshold, the monitoring network security control analysis is determined to be normal, a security control normal signal is generated, and the security control normal signal is sent to the performance detection platform.
9. The park security monitoring intelligent early warning system based on weak current engineering according to claim 1 is characterized in that: The operation process of the scenario-based performance detection unit is as follows: Obtain the deviation of the constant mean value of the monitoring image clarity when there are no passing objects in the sub-areas covered by the park monitoring network and the maximum growth rate of the deviation of the operation and maintenance cycle of the corresponding monitoring equipment in the sub-areas covered by the park monitoring network; obtain the sub-scenario performance detection coefficient of the area covered by the park monitoring network through analysis; compare the sub-scenario performance detection coefficient of the area covered by the park monitoring network with the sub-scenario performance detection coefficient threshold.
10. The park security monitoring intelligent early warning system based on weak current engineering according to claim 9 is characterized in that: If the sub-scenario performance detection coefficient of the area covered by the park monitoring network exceeds the sub-scenario performance detection coefficient threshold, a performance detection abnormality signal is generated and sent to the performance detection platform; If the sub-scenario performance detection coefficient of the area covered by the campus monitoring network does not exceed the sub-scenario performance detection coefficient threshold, a normal performance detection signal is generated and sent to the performance detection platform.