Intelligent management and control method for power equipment area and related device

Abstract

The invention discloses an intelligent management and control method, an intelligent management and control device, intelligent management and control equipment and a computer readable storage medium for a power equipment area. The method comprises the following steps: carrying out living body entry detection through an infrared correlation device; when it is detected that the living body enters, monitoring data of the living body is obtained through a monitoring camera; performing personnel detection on the monitoring data based on a classification identification model; when the worker is detected, performing protector detection on the monitoring data based on a protector detection model; when the protector is detected, real-time monitoring and path tracking are carried out on a worker through a monitoring camera, and real-time monitoring data and path tracking data are obtained; performing violation condition detection on the real-time monitoring data and the path tracking data based on a violation behavior analysis model; and when an illegal condition is detected, alarm prompt information is sent. The safety management level of a power equipment area is improved, and the operation risk of personnel is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of power equipment management and control, and more specifically, relates to an intelligent management and control method, an intelligent management and control device, an intelligent management and control device, and a computer-readable storage medium for a power equipment area. Background Art

[0002] At present, the safety management of power equipment areas mainly relies on manual inspections and monitoring, which has the following problems: First, traditional manual inspection methods make it difficult to achieve all-weather, all-round monitoring of equipment areas, and are prone to blind spots; second, when performing live operations or equipment maintenance, operators may cause safety hazards due to improper operation or failure to wear safety protection equipment as required; third, existing safety management systems generally lack intelligent identification and linkage warning functions, and are unable to promptly detect and stop illegal operations.

[0003] In the related technologies, some video surveillance systems have been applied to the safety management of power equipment areas, but most of these systems only have basic video surveillance functions, and cannot realize intelligent recognition of personnel identity and safety equipment wearing, nor can they set differentiated safety distance warnings according to different voltage level zones. At the same time, these systems lack timely intervention means such as remote two-way intercom, making it difficult to effectively prevent and deal with sudden safety incidents.

[0004] Therefore, how to improve the safety management level of power equipment areas and reduce the operational risks of personnel is a key issue that technical personnel in this field are concerned about. Summary of the invention

[0005] The purpose of this application is to provide an intelligent management and control method, an intelligent management and control device, an intelligent management and control device, and a computer-readable storage medium for an electric power equipment area, so as to improve the safety management level of the electric power equipment area and reduce the operational risks of personnel.

[0006] In view of the above defects or improvement needs of the prior art, the present invention provides an intelligent management and control method for an electric power equipment area, comprising:

[0007] Live body entry detection is performed through infrared radiation device;

[0008] When a living body is detected entering, monitoring data of the living body is acquired through monitoring cameras;

[0009] Performing personnel detection on the monitoring data based on a classification recognition model;

[0010] When a staff member is detected, performing protective gear detection on the monitoring data based on a protective gear detection model;

[0011] When the protective gear is detected, the worker is monitored in real time and the path is tracked by the monitoring camera to obtain real-time monitoring data and path tracking data;

[0012] Performing violation detection on the real-time monitoring data and the path tracking data based on a violation behavior analysis model;

[0013] When a violation is detected, an alarm message is sent.

[0014] Optionally, also include:

[0015] Saving image data of the staff member;

[0016] Sending the image data to a background management system;

[0017] Work log data is generated based on the recorded image data.

[0018] Optionally, also include:

[0019] When the person detection result is non-staff, an expulsion prompt message is sent.

[0020] Optionally, also include:

[0021] When the protective gear detection does not detect the protective gear, a protective gear not worn alarm is sent.

[0022] Optionally, when a violation is detected, an alarm message is sent, including:

[0023] When a violation is detected, the real-time monitoring data is subjected to helmet color detection to obtain helmet color data;

[0024] Corresponding alarm prompt information is sent based on the helmet color data.

[0025] Optionally, also include:

[0026] Classify and count the violations to obtain statistical results;

[0027] A safety management analysis report is generated based on the statistical results.

[0028] The present application also provides an intelligent control device for an electric power equipment area, comprising:

[0029] A living body detection module is used to detect the entry of living bodies through an infrared radiation device;

[0030] A living body monitoring module, used to obtain monitoring data of the living body through monitoring cameras when a living body is detected entering;

[0031] A personnel detection module, used for performing personnel detection on the monitoring data based on a classification recognition model;

[0032] A protective gear detection module, used for performing protective gear detection on the monitoring data based on a protective gear detection model when a worker is detected;

[0033] A real-time monitoring module, for performing real-time monitoring and path tracking of the staff member through the monitoring camera when the protective gear is detected, and obtaining real-time monitoring data and path tracking data;

[0034] A violation detection module, used for detecting violations of the real-time monitoring data and the path tracking data based on a violation behavior analysis model;

[0035] The alarm prompt sending module is used to send an alarm prompt message when a violation is detected.

[0036] Optionally, also include:

[0037] The data recording module is used to save the image data of the staff member, send the image data to the background management system, and generate work log data based on the recorded image data.

[0038] The present application also provides an intelligent management and control device, including:

[0039] Memory for storing computer programs;

[0040] A processor is used to implement the steps of the intelligent management and control method as described above when executing the computer program.

[0041] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the intelligent management and control method as described above are implemented.

[0042] The present application provides an intelligent management and control method for an electric power equipment area, including: detecting the entry of a living body through an infrared radiation device; when a living body is detected, acquiring monitoring data of the living body through a surveillance camera; performing personnel detection on the monitoring data based on a classification recognition model; when a staff member is detected, performing protective gear detection on the monitoring data based on a protective gear detection model; when protective gear is detected, performing real-time monitoring and path tracking of the staff member through the surveillance camera to obtain real-time monitoring data and path tracking data; performing violation detection on the real-time monitoring data and the path tracking data based on a violation behavior analysis model; and sending an alarm prompt message when a violation is detected.

[0043] It has the following beneficial effects:

[0044] Through multi-step intelligent detection and monitoring, comprehensive safety management of the power equipment area is achieved. The comprehensive application of technologies such as infrared counter-radiation devices, monitoring cameras, classification and recognition models, protective gear detection models, and violation analysis models has improved the efficiency and accuracy of safety management, effectively reduced safety hazards, and ensured the safe operation of the power equipment area. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0046] Figure 1 A flow chart of an intelligent management and control method for an electric power equipment area provided in an embodiment of the present application;

[0047] Figure 2 A schematic diagram of the structure of an intelligent control device for an electric power equipment area provided in an embodiment of the present application;

[0048] Figure 3 A schematic diagram of the structure of the intelligent management and control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] The purpose of this application is to provide an intelligent management and control method, an intelligent management and control device, an intelligent management and control device, and a computer-readable storage medium for an electric power equipment area, so as to improve the safety management level of the electric power equipment area and reduce the operational risks of personnel.

[0050] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0051] The following is an example of an intelligent control method provided by the present application.

[0052] Please refer to Figure 1 , Figure 1 A flow chart of an intelligent management and control method for an electric power equipment area provided in an embodiment of the present application.

[0053] In this embodiment, the method may include:

[0054] S101, performing living body entry detection by using an infrared radiation device;

[0055] In this step, the infrared radiation device detects whether an object enters the detection area by emitting and receiving infrared beams. When the infrared beam is blocked, the system determines that an object has entered.

[0056] In this step, an infrared beam detector is installed at the entrance of the power equipment area, and the appropriate detection distance and sensitivity are set. When the infrared beam is blocked, the device will generate a trigger signal and send it to the central control system.

[0057] In this step, the infrared radiation device has the characteristics of fast response speed and low false alarm rate, and can effectively detect living things entering the power equipment area, providing accurate trigger signals for subsequent monitoring and management.

[0058] S102, when a living body is detected entering, obtaining monitoring data of the living body through a monitoring camera;

[0059] Based on S101, in this step, when the infrared radiation device detects the entry of a living body, the central control system triggers the surveillance camera to start recording video to obtain the image and video data of the living body.

[0060] Among them, the monitoring camera is connected to the central control system through the network. When a trigger signal is received, the camera will automatically start recording and transmit the recorded data to the central control system in real time.

[0061] Acquiring live monitoring data through surveillance cameras can provide detailed image and video data for subsequent personnel detection and protective gear detection, thereby improving the accuracy and reliability of detection.

[0062] S103, performing personnel detection on the monitoring data based on the classification recognition model;

[0063] Based on S102, this step uses a pre-trained classification and recognition model to analyze the monitoring data to identify whether the living body entering the area is a person.

[0064] The images and video data acquired by the surveillance camera are input into the classification and recognition model. The model extracts and analyzes the features in the image through a deep learning algorithm to determine whether it is a person.

[0065] In this step, the classification recognition model has high accuracy and low false alarm rate, which can effectively distinguish between people and other living things, reduce unnecessary subsequent processing, and improve the overall efficiency of the system.

[0066] S104, when a staff member is detected, performing protective gear detection on the monitoring data based on the protective gear detection model;

[0067] Based on S103, after confirming that the living body entering the area is a person, this step can use the protective gear detection model to analyze the monitoring data to detect whether the person is wearing the necessary protective gear.

[0068] Among them, the image and video data confirmed by the classification recognition model as a person are input into the protective gear detection model. The model extracts and analyzes the protective gear features in the image through a deep learning algorithm to determine whether the person is wearing the necessary protective gear.

[0069] Among them, the protective gear detection model can effectively detect whether personnel are wearing necessary protective gear, ensure that personnel entering the power equipment area meet safety requirements, and improve the safety of the area.

[0070] Optionally, also include:

[0071] When the person detection result is non-staff, an expulsion prompt message is sent.

[0072] S105, when the protective gear is detected, real-time monitoring and path tracking of the staff are performed through monitoring cameras to obtain real-time monitoring data and path tracking data;

[0073] Based on S104, in this step, after confirming that the person is wearing the necessary protective gear, the surveillance camera continues to monitor the person in real time and tracks the person's path through image processing technology.

[0074] Among them, the monitoring camera records the activities of people in real time and transmits the recorded data to the central control system. The central control system tracks the path of people through image processing algorithms to generate real-time monitoring data and path tracking data.

[0075] In this step, real-time monitoring and path tracking can comprehensively record the activities of personnel in the power equipment area, provide detailed data support for subsequent violation detection, and improve the comprehensiveness and accuracy of safety management.

[0076] Optionally, also include:

[0077] When the protective gear detection does not detect the protective gear, a protective gear not worn alarm is sent.

[0078] S106, performing violation detection on the real-time monitoring data and the path tracking data based on the violation behavior analysis model;

[0079] Based on S105, in this step, a pre-trained violation analysis model is used to analyze the real-time monitoring data and path tracking data to detect whether a person has violated the rules.

[0080] Among them, the real-time monitoring data and path tracking data are input into the violation analysis model. The model extracts and analyzes the behavioral features in the data through a deep learning algorithm to determine whether there is any violation.

[0081] The violation analysis model in this step can effectively detect personnel violations, discover potential safety hazards in a timely manner, and improve the safety management level of the power equipment area.

[0082] S107, when a violation is detected, an alarm prompt message is sent.

[0083] Based on S106, in this step, when the violation analysis model detects a violation, the system will generate an alarm prompt message and notify relevant personnel in various ways.

[0084] When the central control system detects a violation, it will generate an alarm message and notify the security management personnel through SMS, email, sound alarm, etc. At the same time, the system will record the specific time and location of the violation for subsequent processing.

[0085] It can be seen that sending alarm prompt information in a timely manner can quickly respond to violations, reduce safety hazards, and improve the safety of power equipment areas.

[0086] Optionally, this step may include:

[0087] Step 1, when a violation is detected, the helmet color is detected on the real-time monitoring data to obtain the helmet color data;

[0088] Step 2: Send corresponding alarm information based on the helmet color data.

[0089] Optionally, also include:

[0090] Save the image data of the staff; send the image data to the background management system; generate work log data based on the recorded image data.

[0091] Optionally, also include:

[0092] Classify and count the violations to obtain statistical results; generate a safety management analysis report based on the statistical results.

[0093] In summary, this embodiment achieves comprehensive safety management of the power equipment area through multi-step intelligent detection and monitoring. The comprehensive application of technologies such as infrared counter-radiation devices, monitoring cameras, classification and recognition models, protective gear detection models, and violation analysis models improves the efficiency and accuracy of safety management, effectively reduces safety hazards, and ensures the safe operation of the power equipment area.

[0094] An intelligent control device for an electric power equipment area provided in an embodiment of the present application is introduced below. An intelligent control device for an electric power equipment area and an intelligent control method for an electric power equipment area described below can be referred to each other.

[0095] Please refer to Figure 2 , Figure 2 A schematic diagram of the structure of an intelligent control device for an electric power equipment area provided in an embodiment of the present application.

[0096] In this embodiment, the device may include:

[0097] A living body detection module 100 is used to detect the entry of a living body through an infrared radiation device;

[0098] The living body monitoring module 200 is used to obtain monitoring data of the living body through monitoring cameras when a living body is detected to enter;

[0099] A personnel detection module 300 is used to perform personnel detection on monitoring data based on a classification recognition model;

[0100] A protective gear detection module 400 is used to perform protective gear detection on monitoring data based on a protective gear detection model when a worker is detected;

[0101] A real-time monitoring module 500 is used to monitor the staff in real time and track the path through monitoring cameras when the protective gear is detected, so as to obtain real-time monitoring data and path tracking data;

[0102] A violation detection module 600 is used to detect violations of the real-time monitoring data and the path tracking data based on the violation behavior analysis model;

[0103] The alarm prompt sending module 700 is used to send an alarm prompt message when a violation is detected.

[0104] Optionally, also include:

[0105] The data recording module is used to save the image data of the staff, send the image data to the background management system, and generate work log data based on the recorded image data.

[0106] This application also provides intelligent control equipment, please refer to Figure 3 , Figure 3 This is a schematic diagram of the structure of the intelligent management and control device provided in the embodiment of the present application. The intelligent management and control device may include:

[0107] Memory for storing computer programs;

[0108] The processor is used to implement the steps of any of the above-mentioned intelligent management and control methods for power equipment areas when executing a computer program.

[0109] like Figure 3 , which is a schematic diagram of the composition structure of the intelligent management and control device, the intelligent management and control device may include: a processor 10, a memory 11, a communication interface 12 and a communication bus 13. The processor 10, the memory 11, and the communication interface 12 all communicate with each other through the communication bus 13.

[0110] In the embodiment of the present application, the processor 10 may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic devices.

[0111] The processor 10 may call a program stored in the memory 11. Specifically, the processor 10 may execute operations in an embodiment of the abnormal IP identification method.

[0112] The memory 11 is used to store one or more programs, which may include program codes, and the program codes include computer operation instructions. In the embodiment of the present application, the memory 11 at least stores programs for implementing the following functions:

[0113] Live body entry detection is performed through infrared radiation device;

[0114] When a living person is detected entering, the monitoring data of the living person is obtained through the monitoring camera;

[0115] Perform personnel detection on monitoring data based on classification and recognition models;

[0116] When a worker is detected, protective gear detection is performed on the monitoring data based on the protective gear detection model;

[0117] When protective gear is detected, the staff is monitored in real time and the path is tracked through surveillance cameras to obtain real-time monitoring data and path tracking data;

[0118] Detect violations in real-time monitoring data and path tracking data based on violation behavior analysis models;

[0119] When a violation is detected, an alarm message is sent.

[0120] In a possible implementation, the memory 11 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function, etc.; the data storage area may store data created during use.

[0121] In addition, the memory 11 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0122] The communication interface 12 may be an interface of a communication module, and is used to connect to other devices or systems.

[0123] Of course, it should be noted that Figure 3 The structure shown does not constitute a limitation on the intelligent control device in the embodiment of the present application. In actual applications, the intelligent control device may include Figure 3 More or fewer components than shown, or combinations of certain components.

[0124] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned intelligent management and control methods for power equipment areas can be implemented.

[0125] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0126] For an introduction to the computer-readable storage medium provided in this application, please refer to the above method embodiment, and this application will not go into details here.

[0127] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0128] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0129] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0130] The above is a detailed introduction to the intelligent control method, intelligent control device, intelligent control equipment, and computer-readable storage medium for an electric power equipment area provided by the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

Claims

1. An intelligent management and control method for an electric power equipment area, characterized in that: include: Live body entry detection is performed through infrared radiation device; When a living body is detected entering, monitoring data of the living body is acquired through monitoring cameras; Performing personnel detection on the monitoring data based on a classification recognition model; When a staff member is detected, performing protective gear detection on the monitoring data based on a protective gear detection model; When the protective gear is detected, the worker is monitored in real time and the path is tracked by the monitoring camera to obtain real-time monitoring data and path tracking data; Performing violation detection on the real-time monitoring data and the path tracking data based on a violation behavior analysis model; When a violation is detected, an alarm message is sent.

2. The intelligent management and control method according to claim 1, characterized in that: Also includes: Saving image data of the staff member; Sending the image data to a background management system; Work log data is generated based on the recorded image data.

3. The intelligent management and control method according to claim 2, characterized in that: Also includes: When the person detection result is non-staff, an expulsion prompt message is sent.

4. The intelligent management and control method according to claim 3, characterized in that: Also includes: When the protective gear detection does not detect the protective gear, a protective gear not worn alarm is sent.

5. The intelligent management and control method according to claim 4, characterized in that: When a violation is detected, an alarm message is sent, including: When a violation is detected, the real-time monitoring data is subjected to helmet color detection to obtain helmet color data; Corresponding alarm prompt information is sent based on the helmet color data.

6. The intelligent management and control method according to claim 5, characterized in that: Also includes: Classify and count the violations to obtain statistical results; A safety management analysis report is generated based on the statistical results.

7. An intelligent control device for an electric power equipment area, characterized in that: include: A living body detection module is used to detect the entry of living bodies through an infrared radiation device; A living body monitoring module, used to obtain monitoring data of the living body through monitoring cameras when a living body is detected entering; A personnel detection module, used for performing personnel detection on the monitoring data based on a classification recognition model; A protective gear detection module, used for performing protective gear detection on the monitoring data based on a protective gear detection model when a worker is detected; A real-time monitoring module, for performing real-time monitoring and path tracking of the staff member through the monitoring camera when the protective gear is detected, and obtaining real-time monitoring data and path tracking data; A violation detection module, used for detecting violations of the real-time monitoring data and the path tracking data based on a violation behavior analysis model; The alarm prompt sending module is used to send an alarm prompt message when a violation is detected.

8. The intelligent management and control device according to claim 7, characterized in that: Also includes: The data recording module is used to save the image data of the staff member, send the image data to the background management system, and generate work log data based on the recorded image data.

9. An intelligent management and control device, characterized in that: include: Memory for storing computer programs; A processor, used to implement the steps of the intelligent management and control method as described in any one of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the intelligent management and control method according to any one of claims 1 to 6 are implemented.

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