CN115022598A - Water and electricity safety artificial intelligence video monitoring system - Google Patents
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Abstract
The embodiment of the invention provides a water and electricity safety artificial intelligence video monitoring system, which is characterized by comprising the following components: the system comprises an electronic fence alarm system, a personnel dressing identification system, a leakage monitoring system, a smoke and fire alarm system, an instrument identification system, an operation risk monitoring system, an emergency command large screen system and a water and electricity safety production artificial intelligent video monitoring platform; the system comprises an electronic fence alarm system, a personnel dressing identification system, a leakage monitoring system, a smoke and fire alarm system, an instrument identification system and an operation risk monitoring system; the system is respectively connected with the water and electricity safety production artificial intelligence video monitoring platform through an internal network.
Description
Technical Field
The invention provides a monitoring system, in particular to a hydropower safety artificial intelligence video monitoring system.
Background
The monitoring technology is a new technology widely applied in recent years, a camera and various sensors are used as data sources to realize real-time accurate monitoring, and compared with a manual inspection mode, the reliability can be greatly improved, and the cost can be reduced.
Hydropower always relates to the construction of great infrastructure of the national civilization, and the hydropower investment is huge and the economic benefit is huge, so the safety production of the hydropower is very important. Although there are many monitoring techniques in the prior art, the existing system is one that has been in use for more than a decade; practice proves that the initial design target of the standard is initially achieved by installing the monitoring system in hydropower enterprises. However, the following problems are also found in the system use practice:
the monitoring system uses the form;
(II) transferring the responsibility of safety production management;
and (III) purely relying on video image management.
Meanwhile, the system use practice also shows that the existing monitoring system flows in form and transfers the safety production management responsibility, and the problems of unreasonable technology in the whole monitoring system are also caused.
In view of the current situation, a monitoring system suitable for the field of hydropower safety production needs to be developed by combining with the actual situation of hydropower safety production to provide a high-performance low-investment solution for hydropower safety production, so that enterprises can timely discover and correct potential safety hazards through deployment, implementation and operation of the system, the safety management capability of the enterprises is enhanced, and the safety management responsibility of the enterprises is implemented.
Disclosure of Invention
Aiming at the problem that the existing hydropower monitoring system is not perfect in monitoring, the embodiment of the invention aims to provide a hydropower safety artificial intelligence video monitoring system which can be suitable for the field of hydropower safety production and improve the effectiveness of monitoring.
In order to achieve the above object, an embodiment of the present invention provides a water and electricity safety artificial intelligence video monitoring system, including:
the system comprises an electronic fence alarm system, a personnel dressing identification system, a leakage monitoring system, a smoke and fire alarm system, an instrument identification system, an operation risk monitoring system, an emergency command large screen system and a water and electricity safety production artificial intelligent video monitoring platform; the system comprises an electronic fence alarm system, a personnel dressing identification system, a leakage monitoring system, a smoke and fire alarm system, an instrument identification system and an operation risk monitoring system; the system is respectively connected with a hydropower safety production artificial intelligence video monitoring platform through an internal network;
wherein the electronic fence alarm system comprises: the system comprises a camera, a face recognition module, a fence area setting module, an area inspection module, an automatic alarm module, a face database and an alarm module; the fence area setting module is used for planning a hydropower safety production range on an electronic map; the camera is arranged in the upper reservoir and used for extracting images in the range of the electronic fence in real time and sending the images to the face recognition module; the face recognition module is used for carrying out face recognition on the image extracted in real time and comparing a face white list in a face database to determine whether the person in the real-time image is a person authorized to enter the electronic fence area; the area inspection module is used for inspecting in the area of the electronic fence through a camera according to preset rules so as to determine whether external personnel cross the electronic fence or not and realize automatic alarm through the alarm module;
wherein the person dress identification system comprises: the system comprises a camera, a work clothes library, a safety helmet library, a work clothes identification module, a safety helmet identification module, a personnel behavior identification module and an alarm module; the camera is arranged on the generator layer and used for acquiring images in the generator layer in real time, and the images acquired by the camera in real time are identified through the worker clothes identification module, the safety helmet identification module and the personnel behavior identification module so as to determine whether the clothes, the safety helmet and the behaviors are violated or not and realize automatic alarm through the alarm module; wherein the action may include smoking, making a phone call;
wherein the leakage monitoring system includes: the device comprises a camera, a detection module, an analysis processing module, a classification module and an alarm module; the camera is used for acquiring real-time images of a water turbine layer and a volute layer, monitoring and analyzing the real-time images through the detection module, the analysis processing module and the classification module, and realizing automatic alarm through the alarm module when leakage occurs;
wherein the smoke and fire alarm system comprises: the smoke and fire recognition system comprises a camera, a smoke and fire recognition module, a video acquisition module, an image module and an alarm module; the camera is arranged in the communication power supply disc chamber and the storage battery chamber, the image of the camera is acquired through the video acquisition module, the image is displayed in real time through the image module, the smoke and fire in the monitoring range are actively monitored and analyzed through the smoke identification module, the smoke and fire identification module and the video acquisition module, and the alarm module alarms in real time when an accident happens;
wherein the instrument recognition system comprises: the device comprises a camera, a mechanical switch state identification module, an electrical switch state identification module, an electronic meter identification module, a data acquisition and pushing module and an alarm module; the cameras are arranged in the distribution board room and the 500KV switch room, and the mechanical switch state is identified through the cameras to judge the current mechanical switch state; on the other hand, the electrical switch state is identified, and the current electrical switch state is judged; when the mechanical switch or the electrical switch is in a live working state, a field operator does not make corresponding safety isolation protection measures and starts the sound-light alarm device; the digital electronic meter is identified to read data, the acquired data is reported through a data acquisition pushing module to realize the function of remote meter reading, and an alarm module automatically alarms when the state is abnormal;
wherein the job risk monitoring system comprises: the system comprises a camera, an operator identification module, an operation behavior identification module, a safety measure identification module, a safety protection identification module and an alarm module; the camera is arranged in a high-altitude operation area of the GIS room, so that the operation personnel, behaviors, safety measures and protection can be tracked, positioned and analyzed through the operation personnel identification module, the operation behavior identification module, the safety measure identification module and the safety protection identification module, and automatic alarm can be given through the alarm module when potential safety hazards are found.
Further, the emergency command large screen system is also included; the emergency command large screen system is connected with the water and electricity safety production artificial intelligence video monitoring platform through an internal network.
Further, the emergency command large screen system comprises: the system comprises a data information receiving module, a point-to-point talkback module, a full-area broadcasting module, a personnel positioning analysis module, an alarm tracing playback module and a video linkage display module; the emergency command large screen system is connected with the electronic fence alarm system, the personnel dressing identification system, the leakage monitoring system, the smoke and fire alarm system, the instrument identification system and the operation risk monitoring system to receive information fed back by the systems, collect, analyze and display the information, and the point-to-point talkback module and the whole area broadcasting module can remind potential safety hazards in an area in time through a point-to-point talkback mode or a global broadcasting mode; the alarm tracing playback module and the video linkage display module are used for playing back monitoring data of the alarm information; the video linkage display module is used for carrying out linkage display on videos of a plurality of systems.
Further, the hydropower safety artificial intelligence video monitoring system is characterized in that the hydropower safety production artificial intelligence video monitoring platform is connected with the electronic fence alarm system, the personnel dressing identification system, the leakage monitoring system, the smoke and fire alarm system, the instrument identification system, the operation risk monitoring system and the emergency command large screen system; wherein water and electricity safety in production artificial intelligence video monitoring platform follows fence alarm system, personnel dress identification system, running and falling water clock and leak monitoring system, smog firework alarm system, instrument and meter identification system, operation risk monitoring system acquire real time monitoring data to show, fix a position in real time, visual analysis, location, tracking through the big screen system of emergency command.
The technical scheme has the following beneficial effects: the embodiment of the invention provides a water and electricity safety artificial intelligence video monitoring system, which has at least one of the following advantages:
(1) optimizing the automatic supervision and control means of the safe production of the hydropower site.
(2) The artificial intelligence analysis capability of dangerous behaviors in the safe production of hydropower sites is improved.
(3) The investment of personnel in the safe production process of the hydropower site is reduced, and the productivity is liberated.
(4) The hydropower site safety production is all-weather, and 360-degree monitoring without dead angles and blind areas is realized.
Drawings
FIG. 1 is a schematic illustration of a hydroelectric safety production platform of the present invention;
FIG. 2 is a schematic view of the electronic fence alarm system of the present invention;
FIG. 3 is a schematic diagram of the person dress identification system of the present invention;
FIG. 4 is a schematic view of the leak monitoring system of the present invention;
FIG. 5 is a schematic view of a smoke and fire alarm system of the present invention;
FIG. 6 is a schematic view of an instrument recognition system of the present invention;
FIG. 7 is a schematic view of an operational risk monitoring system of the present invention;
fig. 8 is a schematic view of an emergency command large screen system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
The embodiment of the invention provides a hydropower safety artificial intelligence video monitoring system which can be used for snapshotting violation of regulations of safety production operators and operation behaviors in hydropower sites, and can realize the functions of automatically studying and judging common violation behaviors, automatically alarming and stopping, generating violation records and the like. In the embodiment of the invention, the human face recognition technology is combined to realize the alarm of the personnel intrusion of the electronic fence alarm system; the personnel safety standard identification of the personnel dressing identification system is realized by combining the artificial intelligent video analysis technology; the monitoring of the potential safety hazard on site of the leakage monitoring system is realized by combining a rapid pre-screening processing algorithm technology; the completion of the smoke and fire recognition system sensors is realized by combining the video data artificial intelligence recognition early warning technology; the capability of accurate positioning analysis of an instrument system is realized by combining a video stream intelligent image recognition technology; monitoring the safety risk of the operation risk monitoring system by combining a deep learning neural network learning technology; and the capacity of visual positioning analysis of the emergency command large-screen system is realized by combining a data visual display technology. Through the connection of an internal network, the interconnection and intercommunication between the water and electricity safety production artificial intelligence video monitoring platform and each system are realized.
In order to realize above-mentioned purpose, combine the technical scheme that this application provided, provide a water and electricity safety in production artificial intelligence video monitor system, include: the system comprises an electronic fence alarm system, a personnel dressing identification system, a leakage monitoring system, a smoke and fire alarm system, an instrument identification system, an operation risk monitoring system, an emergency command large screen system and a water and electricity safety production artificial intelligent video monitoring platform; the system comprises an electronic fence alarm system, a personnel dressing identification system, a leakage monitoring system, a smoke and fire alarm system, an instrument identification system, an operation risk monitoring system and an emergency command large screen system; the system is respectively connected with a hydropower safety production artificial intelligence video monitoring platform through an internal network;
the system comprises an electronic fence alarm system, a personnel dressing identification system, a leakage monitoring system, a smoke and fire alarm system, an instrument identification system, an operation risk monitoring system, an emergency command large screen system and a water and electricity safety production artificial intelligent video monitoring platform; the system comprises an electronic fence alarm system, a personnel dressing identification system, a leakage monitoring system, a smoke and fire alarm system, an instrument identification system and an operation risk monitoring system; the system is respectively connected with a hydropower safety production artificial intelligence video monitoring platform through an internal network;
wherein the electronic fence alarm system comprises: the system comprises a camera, a face recognition module, a fence area setting module, an area inspection module, an automatic alarm module, a face database and an alarm module; the fence area setting module is used for planning a water and electricity safety production range on an electronic map; the camera is arranged in the upper reservoir and used for extracting images in the range of the electronic fence in real time and sending the images to the face recognition module; the face recognition module is used for carrying out face recognition on the image extracted in real time and comparing a face white list in a face database to determine whether the person in the real-time image is a person authorized to enter the electronic fence area; the area inspection module is used for inspecting in the area of the electronic fence through a camera according to preset rules so as to determine whether external personnel cross the electronic fence or not and realize automatic alarm through the alarm module;
wherein the person dress identification system comprises: the system comprises a camera, a work clothes library, a safety helmet library, a work clothes identification module, a safety helmet identification module, a personnel behavior identification module and an alarm module; the camera is arranged on the generator layer and used for acquiring images in the generator layer in real time, and the images acquired by the camera in real time are identified through the worker clothes identification module, the safety helmet identification module and the personnel behavior identification module so as to determine whether the clothes, the safety helmet and the behaviors are violated or not and realize automatic alarm through the alarm module; wherein the action may include smoking, making a phone call;
wherein the leakage monitoring system includes: the device comprises a camera, a detection module, an analysis processing module, a classification module and an alarm module; the camera is used for acquiring real-time images of a water turbine layer and a volute layer, monitoring and analyzing the real-time images through the detection module, the analysis processing module and the classification module, and realizing automatic alarm through the alarm module when leakage occurs;
wherein the smoke and fire alarm system comprises: the smoke and fire alarm system comprises a camera, a smoke identification module, a smoke and fire identification module, a video acquisition module, an image module and an alarm module; the camera is arranged in the communication power supply disc chamber and the storage battery chamber, the image of the camera is acquired through the video acquisition module, the image is displayed in real time through the image module, the smoke and fire in the monitoring range are actively monitored and analyzed through the smoke identification module, the smoke and fire identification module and the video acquisition module, and the alarm module alarms in real time when an accident happens;
wherein the instrument recognition system comprises: the device comprises a camera, a mechanical switch state identification module, an electrical switch state identification module, an electronic meter identification module, a data acquisition and pushing module and an alarm module; the cameras are arranged in the distribution board room and the 500KV switch room, and the mechanical switch state is identified through the cameras to judge the current mechanical switch state; on the other hand, the electrical switch state is identified, and the current electrical switch state is judged; when the mechanical switch or the electrical switch is in a live working state, a field operator does not make corresponding safety isolation protection measures and starts the sound-light alarm device; the digital electronic meter is identified to read data, the acquired data is reported through the data acquisition and pushing module to realize the function of remote meter reading, and an alarm module automatically alarms when the state is abnormal;
wherein the job risk monitoring system comprises: the system comprises a camera, an operator identification module, an operation behavior identification module, a safety measure identification module, a safety protection identification module and an alarm module; the camera is arranged in a high-altitude operation area of the GIS room, so that the operation personnel, behaviors, safety measures and protection can be tracked, positioned and analyzed through the operation personnel identification module, the operation behavior identification module, the safety measure identification module and the safety protection identification module, and automatic alarm can be given through the alarm module when potential safety hazards are found.
Further, the emergency command large screen system is also included; the emergency command large screen system is connected with the water and electricity safety production artificial intelligence video monitoring platform through an internal network.
Further, the emergency command large screen system comprises: the system comprises a data information receiving module, a point-to-point talkback module, a full-area broadcasting module, a personnel positioning analysis module, an alarm tracing playback module and a video linkage display module; the emergency command large screen system is connected with the electronic fence alarm system, the personnel dressing identification system, the leakage monitoring system, the smoke and fire alarm system, the instrument identification system and the operation risk monitoring system to receive information fed back by the systems, collect, analyze and display the information, and the point-to-point talkback module and the whole area broadcasting module can remind potential safety hazards in an area in time through a point-to-point talkback mode or a global broadcasting mode; the alarm tracing playback module and the video linkage display module are used for playing back monitoring data of the alarm information; the video linkage display module is used for carrying out linkage display on videos of a plurality of systems.
Further, the hydropower safety artificial intelligence video monitoring system is characterized in that the hydropower safety production artificial intelligence video monitoring platform is connected with the electronic fence alarm system, the personnel dressing identification system, the leakage monitoring system, the smoke and fire alarm system, the instrument identification system, the operation risk monitoring system and the emergency command large screen system; wherein water and electricity safety in production artificial intelligence video monitoring platform follows fence alarm system, personnel dress identification system, running and falling water clock and leak monitoring system, smog firework alarm system, instrument and meter identification system, operation risk monitoring system acquire real time monitoring data to show, fix a position in real time, visual analysis, location, tracking through the big screen system of emergency command.
Further, the emergency command large screen system comprises: the system comprises a data information receiving module, a point-to-point talkback module, a whole-area broadcasting module, a personnel positioning analysis module, an alarm tracing playback module and a video linkage display module; the emergency command large screen system is connected with the electronic fence alarm system, the personnel dressing identification system, the leakage monitoring system, the smoke and fire alarm system, the instrument identification system and the operation risk monitoring system to receive information fed back by the systems, gather, analyze and display the information, and the point-to-point talkback module and the whole area broadcasting module can timely remind potential safety hazards in an area through a point-to-point talkback mode or a global broadcasting mode; the alarm tracing playback module and the video linkage display module are used for playing back monitoring data of the alarm information; the video linkage display module is used for carrying out linkage display on videos of a plurality of systems.
The system is respectively connected with the water and electricity safety production artificial intelligence video monitoring platform through an internal network.
The technical scheme of the invention has the advantages that:
(1) optimizing the automatic supervision and control means of the safe production of the hydropower site.
(2) The artificial intelligence analysis capability of dangerous behaviors in the safe production of hydropower sites is improved.
(3) The investment of personnel in the safe production process of the hydropower site is reduced, and the productivity is liberated.
(4) The hydropower site safety production is all-weather, and 360-degree monitoring without dead angles and blind areas is realized.
It should be noted that the examples and features of the examples in this application may be combined with each other without conflict, individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. The scope of embodiments of the invention encompasses the full ambit of the claims, as well as all available equivalents of the claims. The invention will be described in detail below with reference to the accompanying drawings and examples.
According to an embodiment of the present invention, there is provided a water and electricity safety production artificial intelligence video monitoring system, which includes: electronic fence alarm system, personnel dress identification system, running and leakage monitoring system, smog firework alarm system, instrument and meter identification system, operation risk monitoring system, emergency command large-size screen system and water and electricity safety production artificial intelligence video monitor platform. Wherein, fence alarm system, personnel dress identification system, running and leaking monitoring system, smog firework alarm system, instrument and meter identification system, operation risk monitoring system, emergency command large-size screen system are connected with water and electricity safety production artificial intelligence video monitor platform respectively through internal network. As shown in figure 1, the hydropower safety production artificial intelligence video monitoring platform is used as a master control center, can obtain the feedback of an electronic fence alarm system, a personnel dressing identification system, a leakage monitoring system, a smoke and fire alarm system, an instrument and meter identification system, an operation risk monitoring system and an emergency command large screen system, and can control all the systems. Meanwhile, the emergency command large screen system is used as an effective tool for safety management personnel to perform visual analysis, positioning and tracking on the safety production behaviors reported by the systems and perform remote interaction.
The electronic fence alarm system, as shown in fig. 2, includes: the system comprises a camera, a face library, a face white list, face recognition, fence area setting, an area inspection mode and automatic alarm. The method comprises the steps of acquiring video streams set in a fence area through a camera, comparing the acquired face with a background face library, and simultaneously checking a face white list to judge whether foreign people break into the electronic fence to break over. And starting the sound and light alarm device when the illegal invasion behavior is judged.
Wherein the dress identification system of the person, as shown in fig. 3, comprises: the system comprises a camera, a work clothes library, a safety helmet library, work clothes identification, safety helmet identification, personnel behavior identification and automatic alarm. Acquiring a video stream of a working area through a camera, on one hand, identifying the work clothes and the safety helmet, and comparing the identified work clothes and safety helmet with a background work clothes library and a safety helmet library; on the other hand, the worker clothes and the safety helmet are identified whether to be worn correctly; on the other hand, the behavior of smoking, calling and the like of the personnel is identified; when any potential safety hazard exists, the sound-light alarm device is started.
Preferably, the leakage monitoring system, as shown in fig. 4, comprises: the system comprises a camera, a detection module, analysis processing, classification and automatic alarm. And acquiring a video stream of a working area through a camera, identifying through an analysis processing module, labeling through a detection template, and judging through a classification module, finally forming an alarm, and starting an audible and visual alarm device.
Wherein the smoke and fire alarm system, as shown in fig. 5, comprises: the system comprises a camera, smoke identification, smoke and fire identification, video acquisition, image analysis and automatic alarm. Carry out work area's video acquisition through the camera, then carry out image analysis, the result circulation after will analyzing is transferred to smog identification module and firework identification module and is discerned, forms the warning at last, starts audible and visual alarm device.
The instrument recognition system, as shown in fig. 6, includes: the system comprises a camera, a mechanical switch state identification device, an electrical switch state identification device, an electronic meter identification device, a data acquisition and pushing device and an automatic alarm device. Acquiring a video stream of a working area through a camera, on one hand, identifying the mechanical switch state, and judging the current mechanical switch state; on the other hand, the electrical switch state is identified, and the current electrical switch state is judged; when the mechanical switch or the electrical switch is in a live working state, the field operation personnel do not make corresponding safety isolation protection measures and start the sound-light alarm device. In addition, for the digital electronic meter identification, the data reading is realized, the acquired data is pushed to a hydropower safety production artificial intelligent video monitoring platform, and the remote meter reading function is realized.
The work risk monitoring system, as shown in fig. 7, includes: the system comprises a camera, an operator identification device, an operation behavior identification device, a safety measure identification device, a safety protection identification device and an automatic alarm device. The video stream of the working area is obtained through the camera, so that on one hand, the identification of field operators is carried out, and whether the operation is qualified or not is judged; the other party identifies the operation behavior of the field operator, and whether the potential safety risk exists or not is judged; on the other hand, the identification of the safety measures of the field operation is carried out, and whether the safety measures are sufficient or not is judged; and on the last hand, on-site safety protection identification is carried out, and whether safety protection is strict enough or not is judged. When any safety factor exists, the sound and light alarm device is started.
As shown in fig. 8, the emergency command large screen system includes: data information receiving, point-to-point talkback, whole-area broadcasting, personnel positioning analysis, alarm tracing playback and video linkage display. Alarm data provided by each system is received through a data information receiving module, remote stopping is carried out in a point-to-point talkback and full-area broadcasting mode, and coordinate positions of analysts are accurately positioned in a data visualization mode, and the alarm history is traced, inquired and replayed and displayed in a video linkage interaction mode.
In conclusion, the hydropower safety production artificial intelligence video monitoring system utilizes powerful production environment monitoring technology, neural network deep learning technology, artificial intelligence, big data analysis and other technologies to establish a timely, accurate and effective safety production supervision mechanism in an informatization way, and mainly realizes three functions of accident prevention, supervision legislation and networking monitoring. An effective management tool and a feasible management method are provided for safety production responsibility departments through the water and electricity safety production artificial intelligent video monitoring system, the responsibility of an enterprise safety production main body is determined, meanwhile, the condition of illegal production is thoroughly avoided, the enterprise safety management thought is changed in one step, and the enterprise safety management level is improved.
The method can realize the following functions:
(1) the utility model provides an electronic fence alarm system, at upper reservoir periphery, constructor crosses electronic fence intrusion detection, in case discover the invasion action start automatic alarm mechanism.
(2) The personnel dressing identification system is used for identifying dressing and personnel behaviors of personnel safety helmets, work clothes and the like on a generator layer and analyzing active early warning in real time.
(3) The utility model provides a leakage monitoring system that breaks out, at hydraulic turbine layer and spiral shell layer, realizes all-weather, the intelligent monitoring of autonomy, and the abnormal conditions is investigated accurately effectively.
(4) The smoke and smoke alarm system is used for realizing the recognition of smoke and smoke in a monitoring range and carrying out active analysis and real-time alarm in a communication power supply disc chamber and a storage battery chamber.
(5) The instrument and meter recognition system is used in distribution board room and 500KV switch room to realize the precise positioning of mechanical switch and electric switch state and the precise recognition of electronic meter.
(6) The operation risk monitoring system realizes tracking, positioning and analysis of operators and behaviors, safety measures and protection in a GIS room, finds potential safety hazards in time and gives an alarm.
(7) The large-screen emergency command system is used for receiving data fed back by each system in real time, and realizing point-to-point talkback, all-area broadcasting, personnel positioning analysis, alarm event tracing playback, video linkage display and remote interaction.
The technical solution of the present invention is explained by a specific example below:
1. the purpose is as follows: the invention aims to provide a hydropower safety artificial intelligence video monitoring system which is used for carrying out snapshot on violation of regulations of safety production operators and operation behaviors in a hydropower site, and realizing automatic study and judgment, automatic alarm and stop calling, violation record generation and the like on common violation behaviors. The aims are as follows:
(1) the utility model provides an electronic fence alarm system, at upper reservoir periphery, constructor crosses electronic fence intrusion detection, in case discover the invasion action start automatic alarm mechanism.
(2) The personnel dressing identification system is used for identifying dressing and personnel behaviors of personnel safety helmets, work clothes and the like on a generator layer and analyzing active early warning in real time.
(3) The utility model provides a leakage monitoring system that breaks out, at hydraulic turbine layer and spiral shell layer, realizes all-weather, the intelligent monitoring of autonomy, and the abnormal conditions is investigated accurately effectively.
(4) The smoke and smoke alarm system is used for realizing the recognition of smoke and smoke in a monitoring range and carrying out active analysis and real-time alarm in a communication power supply disc chamber and a storage battery chamber.
(5) The instrument and meter recognition system is used in distribution board room and 500KV switch room to realize the precise positioning of mechanical switch and electric switch state and the precise recognition of electronic meter.
(6) The operation risk monitoring system is used for realizing tracking, positioning and analyzing of operation personnel, behaviors, safety measures and protection in a GIS room, and timely finding potential safety hazards and giving an alarm.
(7) The large-screen emergency command system is used for receiving data fed back by each system in real time, and realizing point-to-point talkback, all-area broadcasting, personnel positioning analysis, alarm event tracing playback, video linkage display and remote interaction.
2. The technical scheme is as follows: the invention combines the face recognition technology to realize the alarm of the personnel invasion of the electronic fence alarm system; the personnel safety standard identification of the personnel dressing identification system is realized by combining the artificial intelligent video analysis technology; the monitoring of the potential safety hazard on site of the leakage monitoring system is realized by combining a rapid pre-screening processing algorithm technology; the completion of the smoke and fire recognition system sensors is realized by combining the video data artificial intelligence recognition early warning technology; the capability of accurate positioning analysis of an instrument system is realized by combining a video stream intelligent image recognition technology; monitoring the safety risk of the operation risk monitoring system by combining a deep learning neural network learning technology; and the capacity of visual positioning analysis of the emergency command large-screen system is realized by combining a data visual display technology. Through the connection of an internal network, the interconnection and intercommunication between the water and electricity safety production artificial intelligence video monitoring platform and each system are realized.
In order to achieve the purpose, the technical scheme provided by the application is combined, and an artificial intelligent video monitoring system for hydropower safety production is provided.
According to the application, a water and electricity safety production artificial intelligence video monitor system includes: electronic fence alarm system, personnel dress identification system, running and leakage monitoring system, smog firework alarm system, instrument and meter identification system, operation risk monitoring system, emergency command large-size screen system and water and electricity safety production artificial intelligence video monitor platform. Wherein, fence alarm system, personnel dress identification system, running and leaking monitoring system, smog firework alarm system, instrument and meter identification system, operation risk monitoring system, emergency command large-size screen system are connected with water and electricity safety production artificial intelligence video monitor platform respectively through internal network.
Further, the electronic fence alarm system comprises: the system comprises a camera, a face library, a face white list, face recognition, fence area setting, an area inspection mode and automatic alarm. The system is used for realizing the detection and the alarm of the invasion of external personnel crossing the electronic fence at the periphery of the upper reservoir.
Further, the person dress identification system comprises: the system comprises a camera, a work clothes library, a safety helmet library, work clothes identification, safety helmet identification, personnel behavior identification and automatic alarm. The device is used for identifying whether the wearing clothes such as the generator layer, the personnel safety helmet, the work clothes and the like are worn correctly and unsafe behaviors such as personnel smoking, making a call and the like, and automatically alarming.
Further, the leakage monitoring system comprises: the system comprises a camera, a detection module, analysis processing, classification and automatic alarm. The intelligent monitoring system is used for all-weather all-autonomous intelligent monitoring of a water turbine layer and a volute layer, and accurately and effectively troubleshooting abnormal conditions.
Further, the smoke and fire alarm system comprises: the system comprises a camera, smoke identification, smoke and fire identification, video acquisition, image analysis and automatic alarm. The monitoring device is used for a communication power supply disc chamber and a storage battery chamber, and actively monitors, analyzes and monitors smoke and smoke in a monitoring range to give an alarm in real time.
Further, the instrument recognition system includes: the system comprises a camera, a mechanical switch state identification device, an electrical switch state identification device, an electronic meter identification device, a data acquisition and pushing device and an automatic alarm device. The device is used for accurately positioning the states of a distribution board room, a 500KV switch room, a mechanical switch and an electrical switch and accurately identifying an electronic meter.
Further, the work risk monitoring system includes: the system comprises a camera, an operator identification device, an operation behavior identification device, a safety measure identification device, a safety protection identification device and an automatic alarm device. The device is used for a high-altitude operation area of a GIS room, and can be used for tracking, positioning and analyzing operation personnel, behaviors, safety measures and protection, and timely finding potential safety hazards and giving an alarm.
Further, the emergency command large screen system comprises: data information receiving, point-to-point talkback, whole-area broadcasting, personnel positioning analysis, alarm tracing playback and video linkage display. The system is used for summarizing, analyzing and displaying information fed back by each system, and timely correcting potential safety hazards, alarming, tracing and replaying, video linkage displaying and remote interaction in a point-to-point talkback and all-area broadcasting mode.
3. The advantages and the effects are as follows: the invention has the advantages that:
(1) optimizing the automatic supervision and control means of the safe production of the hydropower site.
(2) The artificial intelligence analysis capability of dangerous behaviors in the safe production of hydropower sites is improved.
(3) The investment of personnel in the safe production process of the hydropower site is reduced, and the productivity is liberated.
(4) The hydropower site safety production is all-weather, and 360-degree monitoring without dead angles and blind areas is realized.
Wherein, figure 1 is a schematic diagram of a hydroelectric safety production platform of the present invention; FIG. 2 is a schematic view of the electronic fence alarm system of the present invention; FIG. 3 is a schematic diagram of the person dress identification system of the present invention; FIG. 4 is a schematic view of the leak monitoring system of the present invention; FIG. 5 is a schematic view of a smoke and fire alarm system of the present invention; FIG. 6 is a schematic view of an instrument recognition system of the present invention; FIG. 7 is a schematic view of an operational risk monitoring system of the present invention; fig. 8 is a schematic view of an emergency command large screen system of the present invention.
According to the embodiment of the invention, the artificial intelligent video monitoring system for the hydropower safety production is provided.
Preferentially, water and electricity safety in production artificial intelligence video monitor system includes: electronic fence alarm system, personnel dress identification system, running and leakage monitoring system, smog firework alarm system, instrument and meter identification system, operation risk monitoring system, emergency command large-size screen system and water and electricity safety production artificial intelligence video monitor platform. Wherein, fence alarm system, personnel dress identification system, running and leaking monitoring system, smog firework alarm system, instrument and meter identification system, operation risk monitoring system, emergency command large-size screen system are connected with water and electricity safety production artificial intelligence video monitor platform respectively through internal network. As shown in figure 1, the hydropower safety production artificial intelligence video monitoring platform is used as a master control center, can obtain the feedback of an electronic fence alarm system, a personnel dressing identification system, a leakage monitoring system, a smoke and fire alarm system, an instrument and meter identification system, an operation risk monitoring system and an emergency command large screen system, and can control all the systems. Meanwhile, the emergency command large screen system is used as an effective tool for safety management personnel to perform visual analysis, positioning and tracking on the safety production behaviors reported by the systems and perform remote interaction.
Preferably, the electronic fence alarm system, as shown in fig. 2, comprises: the system comprises a camera, a face library, a face white list, face recognition, fence area setting, an area inspection mode and automatic alarm. The method comprises the steps of acquiring video streams set in a fence area through a camera, comparing an acquired face with a background face library, and checking a face white list to judge whether foreign people break into and cross the electronic fence to invade. And starting the sound and light alarm device when the illegal intrusion behavior is judged.
Preferably, the personal dress identification system, as shown in fig. 3, comprises: the system comprises a camera, a work clothes library, a safety helmet library, work clothes identification, safety helmet identification, personnel behavior identification and automatic alarm. Acquiring a video stream of a working area through a camera, on one hand, identifying the work clothes and the safety helmet, and comparing the identified work clothes and safety helmet with a background work clothes library and a safety helmet library; on the other hand, the worker clothes and the safety helmet are identified whether to be worn correctly; on the other hand, the behaviors of smoking, calling and the like of the personnel are identified; when any potential safety hazard exists, the sound-light alarm device is started.
Preferably, the leakage monitoring system, as shown in fig. 4, comprises: the system comprises a camera, a detection module, analysis processing, classification and automatic alarm. And acquiring a video stream of a working area through a camera, identifying through an analysis processing module, labeling a detection template, and distinguishing through a classification module, finally forming an alarm, and starting a sound-light alarm device.
Preferably, the smoke and fire alarm system, as shown in fig. 5, comprises: the system comprises a camera, smoke identification, smoke and fire identification, video acquisition, image analysis and automatic alarm. Carry out work area's video acquisition through the camera, then carry out image analysis, the result circulation after will analyzing is transferred to smog identification module and firework identification module and is discerned, forms the warning at last, starts audible and visual alarm device.
Preferably, the instrument recognition system, as shown in fig. 6, includes: the system comprises a camera, a mechanical switch state identification device, an electrical switch state identification device, an electronic meter identification device, a data acquisition and pushing device and an automatic alarm device. Acquiring a video stream of a working area through a camera, on one hand, identifying the mechanical switch state, and judging the current mechanical switch state; on the other hand, the electrical switch state is identified, and the current electrical switch state is judged; when the mechanical switch or the electrical switch is in a live working state, the field operation personnel do not make corresponding safety isolation protection measures and start the sound-light alarm device. In addition, for the identification of a digital electronic meter, the reading of data is realized, the acquired data is pushed to a hydropower safety production artificial intelligent video monitoring platform, and the function of remote meter reading is realized.
Preferably, the work risk monitoring system, as shown in fig. 7, includes: the system comprises a camera, an operator identification device, an operation behavior identification device, a safety measure identification device, a safety protection identification device and an automatic alarm device. The video stream of the working area is obtained through the camera, so that on one hand, the identification of field operators is carried out, and whether the operation is qualified or not is judged; the other party identifies the operation behavior of the field operator, and whether the potential safety risk exists or not is judged; on the other hand, the identification of the safety measures of the field operation is carried out, and whether the safety measures are sufficient or not is judged; and on the last hand, on-site safety protection identification is carried out, and whether safety protection is strict enough or not is judged. When any safety factor exists, the sound and light alarm device is started.
Preferably, the emergency command large screen system, as shown in fig. 8, includes: data information receiving, point-to-point talkback, whole-area broadcasting, personnel positioning analysis, alarm tracing playback and video linkage display. Alarm data provided by each system is received through a data information receiving module, remote stopping is carried out in a point-to-point talkback and full-area broadcasting mode, and coordinate positions of analysts are accurately positioned in a data visualization mode, and the alarm history is traced, inquired and replayed and displayed in a video linkage interaction mode.
In conclusion, the hydropower safety production artificial intelligence video monitoring system utilizes powerful production environment monitoring technology, neural network deep learning technology, artificial intelligence, big data analysis and other technologies to establish a timely, accurate and effective safety production supervision mechanism in an informatization way, and mainly realizes three functions of accident prevention, supervision legislation and networking monitoring. An effective management tool and a feasible management method are provided for safety production responsibility departments through the artificial intelligent video monitoring system for the water and electricity safety production, the responsibility of an enterprise safety production main body is determined, the condition of illegal production is thoroughly avoided, an enterprise safety management thought is converted in one step, and the enterprise safety management level is improved.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (4)
1. The utility model provides a water and electricity safety artificial intelligence video monitor system which characterized in that includes:
the system comprises an electronic fence alarm system, a personnel dressing identification system, a leakage monitoring system, a smoke and fire alarm system, an instrument identification system, an operation risk monitoring system, an emergency command large screen system and a water and electricity safety production artificial intelligent video monitoring platform; the system comprises an electronic fence alarm system, a personnel dressing identification system, a leakage monitoring system, a smoke and fire alarm system, an instrument identification system and an operation risk monitoring system; the system is respectively connected with a hydropower safety production artificial intelligence video monitoring platform through an internal network;
wherein the electronic fence alarm system comprises: the system comprises a camera, a face recognition module, a fence area setting module, an area inspection module, an automatic alarm module, a face database and an alarm module; the fence area setting module is used for planning a hydropower safety production range on an electronic map; the camera is arranged in the upper reservoir and used for extracting images in the range of the electronic fence in real time and sending the images to the face recognition module; the face recognition module is used for carrying out face recognition on the image extracted in real time and comparing a face white list in a face database to determine whether the person in the real-time image is a person authorized to enter the electronic fence area; the area inspection module is used for inspecting in the area of the electronic fence through a camera according to preset rules so as to determine whether external personnel cross the electronic fence or not and realize automatic alarm through the alarm module;
wherein the person dress identification system comprises: the system comprises a camera, a work clothes library, a safety helmet library, a work clothes identification module, a safety helmet identification module, a personnel behavior identification module and an alarm module; the camera is arranged on the generator layer and used for acquiring images in the generator layer in real time, and the images acquired by the camera in real time are identified through the worker clothes identification module, the safety helmet identification module and the personnel behavior identification module so as to determine whether the clothes, the safety helmet and the behaviors are violated or not and realize automatic alarm through the alarm module; wherein the action may include smoking, making a phone call;
wherein the leakage monitoring system includes: the device comprises a camera, a detection module, an analysis processing module, a classification module and an alarm module; the camera is used for acquiring real-time images of a water turbine layer and a volute layer, monitoring and analyzing the real-time images through the detection module, the analysis processing module and the classification module, and realizing automatic alarm through the alarm module when leakage occurs;
wherein the smoke and fire alarm system comprises: the smoke and fire alarm system comprises a camera, a smoke identification module, a smoke and fire identification module, a video acquisition module, an image module and an alarm module; the camera is arranged in the communication power supply disc chamber and the storage battery chamber, the image of the camera is acquired through the video acquisition module, the image is displayed in real time through the image module, the smoke and fire in the monitoring range are actively monitored and analyzed through the smoke identification module, the smoke and fire identification module and the video acquisition module, and the alarm module alarms in real time when an accident happens;
wherein the instrument recognition system comprises: the device comprises a camera, a mechanical switch state identification module, an electrical switch state identification module, an electronic meter identification module, a data acquisition and pushing module and an alarm module; the cameras are arranged in the distribution board room and the 500KV switch room, and the mechanical switch state is identified through the cameras to judge the current mechanical switch state; on the other hand, the electrical switch state is identified, and the current electrical switch state is judged; when the mechanical switch or the electrical switch is in a live working state, a field operator does not make corresponding safety isolation protection measures and starts the sound-light alarm device; the digital electronic meter is identified to read data, the acquired data is reported through the data acquisition and pushing module to realize the function of remote meter reading, and an alarm module automatically alarms when the state is abnormal;
wherein the job risk monitoring system comprises: the system comprises a camera, an operator identification module, an operation behavior identification module, a safety measure identification module, a safety protection identification module and an alarm module; the camera is arranged in a high-altitude operation area of the GIS room, so that the operation personnel, behaviors, safety measures and protection can be tracked, positioned and analyzed through the operation personnel identification module, the operation behavior identification module, the safety measure identification module and the safety protection identification module, and automatic alarm can be given through the alarm module when potential safety hazards are found.
2. The hydroelectric safety artificial intelligence video monitoring system of claim 1 further comprising an emergency command large screen system; the emergency command large screen system is connected with the water and electricity safety production artificial intelligence video monitoring platform through an internal network.
3. A hydroelectric safety artificial intelligence video monitoring system according to claim 2 wherein the emergency command large screen system comprises: the system comprises a data information receiving module, a point-to-point talkback module, a full-area broadcasting module, a personnel positioning analysis module, an alarm tracing playback module and a video linkage display module; the emergency command large screen system is connected with the electronic fence alarm system, the personnel dressing identification system, the leakage monitoring system, the smoke and fire alarm system, the instrument identification system and the operation risk monitoring system to receive information fed back by the systems, collect, analyze and display the information, and the point-to-point talkback module and the whole area broadcasting module can remind potential safety hazards in an area in time through a point-to-point talkback mode or a global broadcasting mode; the alarm tracing playback module and the video linkage display module are used for playing back monitoring data of the alarm information; the video linkage display module is used for carrying out linkage display on videos of a plurality of systems.
4. The hydropower safety artificial intelligence video monitoring system of claim 1, wherein the hydropower safety production artificial intelligence video monitoring platform is connected with the electronic fence alarm system, the personnel dressing identification system, the leakage monitoring system, the smoke and fire alarm system, the instrument identification system, the operation risk monitoring system and the emergency command large screen system; wherein water and electricity safety in production artificial intelligence video monitoring platform follows fence alarm system, personnel dress identification system, running and falling water clock and leak monitoring system, smog firework alarm system, instrument and meter identification system, operation risk monitoring system acquire real time monitoring data to show, fix a position in real time, visual analysis, location, tracking through the big screen system of emergency command.
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| CN116629589A (en) * | 2023-07-26 | 2023-08-22 | 华能信息技术有限公司 | Safety production management system of power plant |
| CN116629589B (en) * | 2023-07-26 | 2023-10-31 | 华能信息技术有限公司 | Safety production management system of power plant |
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