CN110992628B - Cable tunnel anti-intrusion system based on intelligent video - Google Patents
Cable tunnel anti-intrusion system based on intelligent video Download PDFInfo
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
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Abstract
The invention discloses an intelligent video-based cable tunnel anti-intrusion system which comprises two sets of intrusion detectors, cameras, an intelligent video edge processing device and a monitoring main station, wherein the two sets of intrusion detectors and the cameras are connected with the intelligent video edge processing device; the intrusion detector is linked with the camera through the intelligent video edge processing device, the intelligent video edge processing device judges the number of tunnel intrusion people and the intrusion behavior mode according to the time and the frequency of intrusion detector signal triggering, the linkage control of the camera is realized, the camera is responsible for acquiring real-time images and transmitting the real-time images to the intelligent video edge processing device, and the intelligent video edge processing device realizes the edge calculation function of video stream data in the cable tunnel. The invention can judge the number of tunnel intruders and the intrusion behavior pattern, and carry out on-site calculation and processing on the monitoring video.
Description
Technical Field
The invention relates to a cable tunnel anti-intrusion system, in particular to a cable tunnel anti-intrusion system based on an intelligent video, and belongs to the technical field of cable tunnel monitoring.
Background
The average buried depth of the cable tunnel is large, the operation and maintenance problems cannot be completely solved by adopting planned maintenance and regular inspection, and the operation monitoring level of the power cable needs to be improved by utilizing a modern technical means. The entrance and exit well is used as a direct channel for entering and exiting the cable tunnel, and the well mouth of a sensitive area is provided with an electronic well cover, but the phenomenon that the device in the tunnel, particularly the grounding cable is stolen is still serious.
In the existing cable tunnel anti-intrusion system, the judgment of an intrusion behavior mode can only be realized, the number of people intruding into the tunnel cannot be recorded, and the safety of personnel arriving to a scene for processing is threatened. In addition, the method takes the well lid opening record and the well lid area light spot monitoring as the intrusion detection information, and has certain limitation at night when the light is insufficient or only the well lid is stolen, so that the monitoring result and the tunnel intrusion behavior mode are not accurately judged, and meanwhile, massive monitoring video stream data are generated, and the visual fatigue of monitoring dead angles and monitoring personnel is easily caused when the monitoring video stream data are subjected to screen rotation or screen splitting.
Video monitoring is used as an important auxiliary means in cable tunnel monitoring, and has been popularized and applied in practical engineering. However, in the existing monitoring system of the cable tunnel, the related system platform does not process the video stream data, but directly stores the video stream data in the network hard disk video recorder, and calls the video stream data for monitoring and displaying, so that a great number of problems occur in the application process of the video stream data. For example, the invalid video information occupies a large bandwidth and a large storage resource, and is easy to have the phenomena of frame blocking, long delay and the like when being displayed on a front-end page; secondly, the existing system platform does not perform value mining of video stream data in the monitoring system, so that the reliability of the cable tunnel comprehensive state monitoring system is indirectly reduced.
Secondly, in order to reduce the delay of the system, relieve the pressure of the cloud computing center and protect the data security, monitoring information with large data volume, especially video stream data, needs to be calculated and processed on site.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent video-based cable tunnel anti-intrusion system which can judge the number of tunnel intrusion people and the intrusion behavior mode and carry out local calculation and processing on a monitoring video.
In order to solve the technical problem, the technical scheme adopted by the invention is as follows: a cable tunnel anti-intrusion system based on intelligent video comprises two sets of intrusion detectors, a camera, an intelligent video edge processing device and a monitoring main station, wherein the two sets of intrusion detectors are respectively a detector No. 1 and a detector No. 2, the detector No. 1 is arranged near an in-out well ladder, the detector No. 2 is positioned at the bottom of a well mouth inlet, the distance between the two sets of intrusion detectors is less than 1m, the camera and the intelligent video edge processing device are both positioned at the bottom layer of a tunnel, and the monitoring main station is arranged in a machine room; the two sets of intrusion detectors and the camera are connected with an intelligent video edge processing device, and the intelligent video edge processing device is connected with a monitoring master station; the intrusion detector is linked with the camera through the intelligent video edge processing device, the intelligent video edge processing device judges the number of tunnel intrusion persons and the intrusion behavior mode according to the time sequence and the times of intrusion detector signal triggering, the linkage control of the camera is realized, the camera is responsible for acquiring real-time images and transmitting the real-time images to the intelligent video edge processing device, the intelligent video edge processing device is responsible for judging and realizing the linkage strategy, calculating and processing the video stream data on site and storing and uploading effective videos, the edge calculation function of the video stream data in the cable tunnel is realized, and the monitoring master station is responsible for realizing the collection and display of comprehensive information in the cable tunnel.
Furthermore, the intelligent video edge processing device judges the number of tunnel intrusion people and the intrusion behavior mode according to the signal triggering time and the times of the intrusion detector, and the process comprises the following steps: s11), the intelligent video edge processing device finds that the electronic well lid at the entrance is illegally opened, judges whether the No. 1 detector is triggered within a period of time, if not, executes the step S12, and if so, executes the step S13; s12), taking the phenomenon as the auxiliary roll for the theft of the electronic well lid, and giving an alarm; s13), judging the tunnel entering action, continuing to judge whether the No. 2 detector is triggered after the triggering of the No. 1 detector is released, if not, executing the step S14, and if so, executing the step S15; s14), judging that the outside invaders leave the tunnel; s15), after the trigger of the No. 2 detector is contacted, continuously judging whether the No. 1 detector is triggered, if not, executing the step S16, and if so, executing the step S17; s16), judging that external intruders enter the tunnel, and adding one to the number of the tunnel intruders; s17), return to step S13, repeat steps S13 to S17.
Further, the process of judging and realizing the linkage strategy by the intelligent video edge processing device is as follows: after the No. 1 detector is triggered, judging that tunnel entrance behavior occurs, after the intelligent video edge processing device receives a trigger signal of the No. 1 detector, determining the position of the detector according to the communication ID of the trigger detector, moving a camera near the trigger detector, and controlling the camera to align and maintain an entrance area; after the camera 1 is triggered, if the camera 2 is triggered, the camera starts an automatic tracking video recording function, and if the camera 2 is not triggered, the camera returns to the original working state.
Furthermore, when No. 1 camera is triggered, the monitoring main station sends out tunnel intrusion warning, and if No. 2 camera is triggered after No. 1 camera is triggered, the monitoring main station interface automatically pops the window to display real-time monitoring picture and camera control interface.
Furthermore, the intelligent video edge processing device calculates and processes the video stream data in situ and comprises page fuzzy processing and feature extraction, the intelligent video edge processing device performs page fuzzy processing on the real-time video on one hand to reduce the resolution ratio and reduce the data volume of the real-time video stream, performs preprocessing and image segmentation on the real-time video on the other hand, extracts frame image features, matches and judges the frame image features with a preset target so as to judge whether the frame image features are effective videos or not, and if the frame image features are effective videos, the effective videos are independently stored, and auxiliary criteria are provided for comprehensive state monitoring of a cable tunnel.
Further, the process that the effective video provides auxiliary criteria for the comprehensive filling monitoring of the cable tunnel comprises the following steps: the intelligent video edge processing device is used for importing an event state set divided according to the correlation degree of the basic state quantity of the cable tunnel in advance, clustering, associating and pattern recognition are carried out on the intelligent video edge processing device based on the extracted features, and the associated event features are used as auxiliary criteria of the cable tunnel comprehensive state detection system.
Furthermore, the intelligent video edge processing device comprises an external interface module, a coding and decoding module, a storage module, an edge calculation module and a control module which are sequentially interconnected, wherein the intrusion detector, the camera and the monitoring master station are all connected with the external interface module, the intelligent video edge processing device comprises a peripheral interface module, a coding and decoding module, a storage module, an edge calculation module and a control module, wherein the peripheral interface module is used for carrying out data interaction with the intelligent video edge processing device, the coding and decoding module is used for coding and decoding video stream data, the storage module comprises a real-time video storage module and an effective video storage module, the real-time video storage module is used for storing real-time videos and periodically deleting and covering the video stream data, the effective video storage module is used for storing the effective videos used as cable tunnel event backtracking data, the edge calculation module is used for carrying out on-site calculation and processing on the video stream data, and the control module is used for realizing the linkage of a camera and an intrusion detector and carrying out data interaction with a monitoring main station.
Further, the intrusion detector is an infrared correlation detector.
Furthermore, when no event occurs, the video image of the monitoring main station is video stream data after fuzzy processing, and after the event occurs, the monitoring main station receives the alarm information from the intelligent video edge processing device and the event characteristics after local analysis and processing and correspondingly displays the alarm information and the event characteristics.
The invention has the beneficial effects that:
1. the number of intruders can be judged and workers can be prompted by triggering the intrusion detector, and the number of the workers can be sent to the site as required, so that the safety of the workers is ensured; meanwhile, the method can be used as a criterion of a cable tunnel intrusion event, the judgment of the tunnel intrusion behavior is more accurate and effective, and higher convenience can be provided for the operation and maintenance management of the cable tunnel;
2. the intelligent video edge processing device realizes the on-site processing of video stream data and the intelligent adjustment of resolution, stores and uploads effective videos, can effectively reduce the requirement of the video stream data on transmission bandwidth, further realizes the active alarm of events, and reduces the labor intensity of monitoring personnel and the video storage pressure;
3. the method realizes value mining of video stream data, performs auxiliary judgment on abnormal events, abnormal data and the like, and provides a reference direction for further application of the video stream data.
Drawings
FIG. 1 is a functional block diagram of an intrusion prevention system;
fig. 2 is a flow chart of cable tunnel entry behavior determination;
FIG. 3 is a flow chart of cable tunnel exit behavior determination;
FIG. 4 is a flowchart of camera linkage;
FIG. 5 is a schematic block diagram of an intelligent video edge processing apparatus;
in the figure: 1. electron well lid, 2, the well cat ladder of cominging in and going out, No. 3, No. 1 detector, No. 4, No. 2 detectors, 5, camera, 6, intelligent video edge processing apparatus, 7, control main website.
Detailed Description
The invention is further described with reference to the following figures and specific embodiments.
Example 1
The embodiment discloses an intelligent video-based cable tunnel anti-intrusion system, which comprises two sets of intrusion detectors, a camera, an intelligent video edge processing device and a monitoring main station, wherein the two sets of intrusion detectors are respectively a detector No. 1 and a detector No. 2, the detector No. 1 is arranged near an in-out well ladder, the detector No. 2 is positioned at the bottom of a wellhead inlet, the distance between the two sets of intrusion detectors is less than [ zyy1], the camera and the intelligent video edge processing device are both positioned at the bottom layer of a tunnel, and the monitoring main station is arranged in a machine room; the two sets of intrusion detectors and the camera are connected with an intelligent video edge processing device, and the intelligent video edge processing device is connected with a monitoring master station; the intrusion detector is linked with the camera through the intelligent video edge processing device, the intelligent video edge processing device judges the number of tunnel intrusion persons and the intrusion behavior mode according to the time sequence and the times of intrusion detector signal triggering, the linkage control of the camera is realized, the camera is responsible for acquiring real-time images and transmitting the real-time images to the intelligent video edge processing device, the intelligent video edge processing device is responsible for judging and realizing the linkage strategy, calculating and processing the video stream data on site and storing and uploading effective videos, the edge calculation function of the video stream data in the cable tunnel is realized, and the monitoring master station is responsible for realizing the collection and display of comprehensive information in the cable tunnel.
In this embodiment, two sets of intrusion detectors are infrared correlation detectors, and one person's occupation space is separated between two sets of infrared correlation detectors to guarantee that one person can not trigger two sets of detectors simultaneously, detector output signal says intelligent video edge processing apparatus. The cable tunnel anti-intrusion system detects the behaviors of entering a cable tunnel and exiting the cable tunnel by using an infrared correlation detector, and the specific processes are respectively shown as figures 2 and 3;
the intelligent video edge processing device judges the number of tunnel intrusion persons and the intrusion behavior mode according to the signal triggering time and the number of times of the intrusion detector: s11), the intelligent video edge processing device finds that the electronic well lid at the entrance is illegally opened, judges whether the No. 1 detector is triggered within a period of time, if not, executes the step S12, and if so, executes the step S13; s12), taking the phenomenon as the auxiliary roll for the theft of the electronic well lid, and giving an alarm; s13), judging the tunnel entering action, continuing to judge whether the No. 2 detector is triggered after the triggering of the No. 1 detector is released, if not, executing the step S14, and if so, executing the step S15; s14), judging that the outside invaders leave the tunnel; s15), after the trigger of the No. 2 detector is contacted, continuously judging whether the No. 1 detector is triggered, if not, executing the step S16, and if so, executing the step S17; s16), judging that external intruders enter the tunnel, and adding one to the number of the tunnel intruders; s17), return to step S13, repeat steps S13 to S17.
As shown in fig. 3, the process of the intelligent video edge processing device determining the cable tunnel behavior is as follows:
s21), judging whether the detector No. 2 is triggered after the camera carries out video monitoring verification, if not, judging that an intruder does not leave, and if so, judging whether the detector No. 1 is triggered within a period of time after the detector No. 2 is triggered and contacted; s22), if the No. 1 detector is not triggered, judging that the intruder does not leave, if the No. 1 detector is triggered, judging whether the No. 2 detector is triggered within a period of time after the No. 1 detector is triggered; s23), if the detector No. 2 is not triggered, judging that the intruder leaves the tunnel, if the detector No. 2 is triggered, continuously judging whether the detector No. 1 is triggered, and repeating the steps S22 to S23.
As shown in fig. 4, the detector and camera linkage policy is as follows: after the No. 1 detector is triggered, judging that tunnel entrance behavior occurs, after the intelligent video edge processing device receives a trigger signal of the No. 1 detector, determining the position of the detector according to the communication ID of the trigger detector, moving a camera near the trigger detector, and controlling the camera to align and maintain an entrance area; after the camera 1 is triggered, if the camera 2 is triggered, the camera starts an automatic tracking video recording function, and if the camera 2 is not triggered, the camera returns to the original working state.
When the camera moves, the intelligent video edge processing module sends alarm information to the monitoring main station simultaneously, and the method specifically comprises the following steps: when No. 1 camera was triggered, the monitoring main website sent the tunnel invasion and reports an emergency and asks for help or increased vigilance, and No. 1 camera is triggered back No. 2 cameras if triggered, and the automatic pop-up window in monitoring main website interface shows real time monitoring picture and camera control interface.
As shown in fig. 5, the intelligent video edge processing device comprises a peripheral interface module, a coding and decoding module, a storage module, an edge calculation module and a control module which are interconnected in sequence, wherein an intrusion detector, a camera and a monitoring master station are all connected with the peripheral interface module, the intelligent video edge processing device comprises a peripheral interface module, a coding and decoding module, a storage module, an edge calculation module and a control module, wherein the peripheral interface module is used for carrying out data interaction with the intelligent video edge processing device, the coding and decoding module is used for coding and decoding video stream data, the storage module comprises a real-time video storage module and an effective video storage module, the real-time video storage module is used for storing real-time videos and periodically deleting and covering the video stream data, the effective video storage module is used for storing the effective videos used as cable tunnel event backtracking data, the edge calculation module is used for carrying out on-site calculation and processing on the video stream data, and the control module is used for realizing the linkage of a camera and an intrusion detector and carrying out data interaction with a monitoring main station.
In this embodiment, the in-situ computation and processing of the video stream data by the intelligent video edge processing device include page fuzzy processing and feature extraction, which are both performed in the edge computation module.
The edge calculation module performs page fuzzy processing on the real-time video on one hand, reduces the resolution ratio of the real-time video, reduces the data amount of the real-time video, performs preprocessing and image segmentation on the real-time video on the other hand, extracts frame image characteristics, matches the frame image characteristics with a preset target, judges whether the real-time video is an effective video or not, independently stores the effective video if the real-time video is the effective video, and provides auxiliary criteria for comprehensive state monitoring of a cable tunnel.
The process that the effective video provides the auxiliary criterion for the comprehensive filling monitoring of the cable tunnel comprises the following steps: and an event state set divided according to the correlation degree of the basic state quantity of the cable tunnel is led into the edge calculation module in advance, the intelligent video edge processing device carries out clustering, association and mode identification on the basis of the extracted features, and the associated event features are used as auxiliary criteria of the cable tunnel comprehensive state detection system. For example, the extracted characteristic 'flame' is associated with the temperature to be used as an auxiliary criterion of a temperature abnormal data point; the characteristic of construction near the joint is associated with partial discharge and is used as an auxiliary criterion for shifting a partial discharge signal.
The monitoring main station carries out video stream data interaction with the intelligent video edge processing device, when no event occurs, the video image of the monitoring main station is the video stream data after fuzzy processing, and after the event occurs, the monitoring main station receives the alarm information from the intelligent video edge processing device and the event characteristics after local analysis and processing and correspondingly displays the alarm information and the event characteristics.
The anti-intrusion system judges the number of intruders and the intrusion behavior mode according to the triggering sequence of the first detector and the second detector, and one intruder can be judged by one complete tunnel entering process. If the first detector is triggered first and the second detector is triggered later, the tunnel entrance behavior can be judged by adding one to the number of tunnel intruders; if the second detector is triggered first and the first detector is triggered later, the tunnel behavior can be judged, and the judging mode is more accurate than the existing mode.
The intelligent video edge agent device is used as an edge calculation unit of video stream data, not only realizes the on-site calculation, processing and intelligent adjustment of resolution ratio of the video stream data, effectively reduces the video stream data amount and the requirement on transmission bandwidth, but also is responsible for single-frame image preprocessing and image segmentation of the video stream data, extraction of frame image characteristics, matching and judging with a preset target, determining whether the video stream data is an effective video, and if the video stream data is the effective video, identifying and associating the characteristics with a recorded characteristic set (such as flame and discharge) to provide auxiliary criteria for the comprehensive state monitoring function of a cable tunnel, such as abnormal alarm events and abnormal data detection.
The foregoing description is only for the basic principle and the preferred embodiments of the present invention, and modifications and substitutions by those skilled in the art are included in the scope of the present invention.
Claims (6)
1. The utility model provides a cable tunnel prevents intrusion system based on intelligent video which characterized in that: the intelligent video monitoring system comprises two sets of intrusion detectors, a camera, an intelligent video edge processing device and a monitoring main station, wherein the two sets of intrusion detectors are a detector No. 1 and a detector No. 2 respectively, the detector No. 1 is arranged near an in-out well ladder, the detector No. 2 is positioned at the bottom of a wellhead inlet, the distance between the two sets of intrusion detectors is less than 1m, the camera and the intelligent video edge processing device are both positioned at the bottom layer of a tunnel, and the monitoring main station is arranged in a machine room; the two sets of intrusion detectors and the camera are connected with an intelligent video edge processing device, and the intelligent video edge processing device is connected with a monitoring master station; the intelligent video edge processing device is responsible for judging and realizing a linkage strategy, calculating and processing video stream data on site and storing and uploading effective videos, realizing an edge calculation function of the video stream data in the cable tunnel, and the monitoring master station is responsible for realizing the collection and display of comprehensive information in the cable tunnel;
the intelligent video edge processing device judges the number of tunnel intrusion persons and the intrusion behavior mode according to the signal triggering time and the number of times of the intrusion detector: s11), the intelligent video edge processing device finds that the electronic well lid at the entrance is illegally opened, judges whether the No. 1 detector is triggered within a period of time, if not, executes the step S12, and if so, executes the step S13; s12), taking the phenomenon as the auxiliary roll for the theft of the electronic well lid, and giving an alarm; s13), judging the tunnel entering action, continuing to judge whether the No. 2 detector is triggered after the triggering of the No. 1 detector is released, if not, executing the step S14, and if so, executing the step S15; s14), judging that the outside invaders leave the tunnel; s15), after the trigger of the No. 2 detector is contacted, continuously judging whether the No. 1 detector is triggered, if not, executing the step S16, and if so, executing the step S17; s16), judging that external intruders enter the tunnel, and adding one to the number of the tunnel intruders; s17), return to step S13, repeat steps S13 to S17;
the intelligent video edge processing device judges and realizes the linkage strategy by the following processes: after the No. 1 detector is triggered, judging that tunnel entrance behavior occurs, after the intelligent video edge processing device receives a trigger signal of the No. 1 detector, determining the position of the detector according to the communication ID of the trigger detector, moving a camera near the trigger detector, and controlling the camera to align and maintain an entrance area; after the camera 1 is triggered, if the camera 2 is triggered, the camera starts an automatic tracking video recording function, and if the camera 2 is not triggered, the camera returns to the original working state; when the camera No. 1 is triggered, the monitoring master station sends a tunnel intrusion alarm, and if the camera No. 2 is triggered after the camera No. 1 is triggered, an interface of the monitoring master station automatically pops windows to display a real-time monitoring picture and a camera control interface;
the process that the intelligent video edge processing device judges the behavior of the cable tunnel is as follows: s21), judging whether the detector No. 2 is triggered after the camera carries out video monitoring verification, if not, judging that an intruder does not leave, and if so, judging whether the detector No. 1 is triggered within a period of time after the detector No. 2 is triggered and contacted; s22), if the No. 1 detector is not triggered, judging that the intruder does not leave, if the No. 1 detector is triggered, judging whether the No. 2 detector is triggered within a period of time after the No. 1 detector is triggered; s23), if the detector No. 2 is not triggered, judging that the intruder leaves the tunnel, if the detector No. 2 is triggered, continuously judging whether the detector No. 1 is triggered, and repeating the steps S22 to S23.
2. The intelligent video-based cable tunnel intrusion prevention system according to claim 1, wherein: the intelligent video edge processing device carries out page fuzzy processing on the real-time video to reduce the resolution ratio and reduce the data volume of the real-time video stream, carries out preprocessing and image segmentation on the real-time video, extracts frame image characteristics, matches and judges the frame image characteristics with a preset target so as to judge whether the frame image characteristics are effective video, and if the frame image characteristics are effective video, the effective video is independently stored, and auxiliary criteria are provided for the comprehensive state monitoring of a cable tunnel.
3. The intelligent video-based cable tunnel intrusion prevention system according to claim 2, wherein: the process that the effective video provides the auxiliary criterion for the comprehensive filling monitoring of the cable tunnel comprises the following steps: the intelligent video edge processing device is used for importing an event state set divided according to the correlation degree of the basic state quantity of the cable tunnel in advance, clustering, associating and pattern recognition are carried out on the intelligent video edge processing device based on the extracted features, and the associated event features are used as auxiliary criteria of the cable tunnel comprehensive state detection system.
4. The intelligent video-based cable tunnel intrusion prevention system according to claim 1, wherein: the intelligent video edge processing device comprises an external interface module, a coding and decoding module, a storage module, an edge calculation module and a control module which are sequentially interconnected, wherein an intrusion detector, a camera and a monitoring master station are all connected with the external interface module, the intelligent video edge processing device comprises a peripheral interface module, a coding and decoding module, a storage module, an edge calculation module and a control module, wherein the peripheral interface module is used for carrying out data interaction with the intelligent video edge processing device, the coding and decoding module is used for coding and decoding video stream data, the storage module comprises a real-time video storage module and an effective video storage module, the real-time video storage module is used for storing real-time videos and periodically deleting and covering the video stream data, the effective video storage module is used for storing the effective videos used as cable tunnel event backtracking data, the edge calculation module is used for carrying out on-site calculation and processing on the video stream data, and the control module is used for realizing the linkage of a camera and an intrusion detector and carrying out data interaction with a monitoring main station.
5. The intelligent video-based cable tunnel intrusion prevention system according to claim 1, wherein: the intrusion detector is an infrared correlation detector.
6. The intelligent video-based cable tunnel intrusion prevention system according to claim 2, wherein: when no event occurs, the video picture of the monitoring main station is video stream data after fuzzy processing, and after the event occurs, the monitoring main station receives the alarm information from the intelligent video edge processing device and the event characteristics after local analysis and processing and correspondingly displays the alarm information and the event characteristics.
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| CN113362563B (en) * | 2021-06-03 | 2022-07-15 | 国网北京市电力公司 | Method and device for determining abnormal condition of power tunnel |
| CN115065544B (en) * | 2022-06-28 | 2023-10-03 | 慧之安信息技术股份有限公司 | Offshore defense auxiliary detection system based on edge calculation |
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