Intelligent safety management and control system and method for electric power operation

Abstract

The invention discloses an intelligent safety management and control system and method for electric power operation. The system comprises a face recognition electronic fence module, a linkage alarm module, a remote control maintenance cloth curtain module, an infrared correlation module and a portable electronic screen notice board. The face recognition electronic fence module is connected with the linkage alarm module through network connection and is used for transmitting recognized personnel identity information to the linkage alarm module in real time; the remote control maintenance cloth curtain module is connected with the linkage alarm module through a communication link; the infrared correlation device is in butt joint with the linkage alarm module through a signal transmission line. The portable electronic screen notice board and the remote control maintenance cloth curtain module are in remote control association with the linkage alarm module, and are used for realizing remote release and on-off of display contents, and feeding back a signal to the linkage alarm module when abnormal information is detected by the portable electronic screen notice board and the remote control maintenance cloth curtain module. And interactive transmission and cooperative operation of information among the modules of the whole electric power operation intelligent safety management and control system are achieved. The safety is remarkably improved, and the operation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of power system safety monitoring technology, especially to the safety management and control of operations in key power facilities such as substations and power plants. The present invention integrates face recognition technology, linkage alarm mechanism, remote control maintenance curtain, remote control maintenance curtain, infrared counter-radiation technology, portable electronic screen prompt sign and anti-small animal function, aiming to build an efficient, intelligent and safe power operation management system to improve the safety monitoring, personnel management and emergency response capabilities of power operation sites. Background Art

[0002] In the power industry, the safe operation of power facilities and the safety of operators are top priorities. However, traditional power operation safety management and control methods have many shortcomings, such as the limitations of manual monitoring, the cumbersome setting of physical fences, and the lag in emergency response. Especially in high-voltage, high-risk environments such as substations, problems such as misentry of personnel, illegal operations, and environmental abnormalities occur from time to time, seriously threatening the safety and efficiency of power operations. At the same time, there are also deficiencies in distinguishing between operating cabinets and maintenance cabinets, preventing workers from mistakenly entering operating interval cabinets, preventing small animals from invading, and providing intuitive and dynamic maintenance information displays.

[0003] The prior art discloses a substation safety management and control method and device (CN117391619A), which includes the following steps: Step 1: Build a digital twin substation system and configure personnel management and control functions; Step 2: Use a positioning device that communicates with the digital twin substation system to locate the personnel entering the station and transmit the generated positioning information to the digital twin substation system, and use an image acquisition device that communicates with the digital twin substation system to perform image acquisition with the personnel entering the station and / or to perform image acquisition at a designated location in the substation and transmit the generated image information to the digital twin substation system; Step 3: Implement the personnel management and control function or equipment management and control function of the digital twin substation system based on the positioning information and / or image information. However, the shortcomings of the prior art are:

[0004] In terms of personnel identification: the existing technology collects facial image information through an image acquisition device installed at the entrance of the substation, and compares it with the information in the management and control data system to achieve the facial recognition function. The facial recognition function of the existing technology may be relatively limited in the expansion of application scenarios and recognition capabilities.

[0005] In terms of environmental monitoring and alarm: Although the existing technology has the functions of equipment positioning and some safety control based on positioning, the environmental monitoring mainly relies on the positioning device and image acquisition device that communicate with the digital twin substation system. In terms of the pertinence and comprehensiveness of environmental monitoring, the existing technology is slightly insufficient.

[0006] In terms of maintenance area isolation: the existing technology does not mention the method of using wireless communication technology to quickly isolate and protect the maintenance area, and lacks convenient and efficient means of isolating the maintenance area.

[0007] In terms of equipment flexibility and intelligent judgment: There is a gap in the existing technology in the adaptability and intelligent judgment capabilities of equipment.

[0008] In terms of information display and prompts: the existing technology does not have convenient equipment specifically for on-site information display and prompts, and is lacking in providing intuitive and dynamic information to staff.

[0009] Therefore, it is particularly important to develop an intelligent safety management and control system that can automatically identify personnel identities, monitor the working environment in real time, and respond quickly. Summary of the invention

[0010] In order to solve the deficiencies in the prior art, the present invention aims to provide an intelligent safety management and control system for power operations based on face recognition, linkage alarm and remote control maintenance curtain. The system integrates multiple advanced technologies to achieve comprehensive monitoring, intelligent identification, linkage alarm and remote control of the power operation process, thereby improving the safety and efficiency of power operations.

[0011] The present invention adopts the following technical solution.

[0012] A first aspect of the present invention provides an intelligent safety management and control system for electric power operations, comprising:

[0013] Face recognition electronic fence module, linkage alarm module, remote control maintenance curtain module, infrared counter-radiation module and portable electronic screen prompt board; the face recognition electronic fence module is connected to the linkage alarm module through a network connection, and is used to transmit the recognized personnel identity information to the linkage alarm module in real time; the remote control maintenance curtain module and the linkage alarm module are connected through a communication link; the infrared counter-radiation device is connected to the linkage alarm module through a signal transmission line; the portable electronic screen prompt board and the remote control maintenance curtain module are remotely controlled and associated with the linkage alarm module, which are used to realize the remote publishing and switching of the displayed content, and can also feed back the signal to the linkage alarm module when abnormal information is detected, so as to achieve the interactive transmission and coordinated operation of information between the modules of the entire power operation intelligent safety management and control system.

[0014] Preferably, the face recognition electronic fence module includes a high-definition camera, an image acquisition card, a face recognition algorithm processor and a data transmission module; the high-definition camera is used to collect analog image signals of face images, the image acquisition card is used to convert the analog image signals obtained by the high-definition camera into digital image signals, the face recognition algorithm processor uses the CNN algorithm to extract and identify features of the face in the digital image signal, and the data transmission module is used to transmit the recognition results and related data to the linkage alarm module.

[0015] Preferably, the high-definition camera is connected to the image acquisition card via a data cable, the image acquisition card is connected to the face recognition algorithm processor via an internal bus, the face recognition algorithm processor is electrically connected to the data transmission module, and the data transmission module is connected to the linkage alarm module via a network cable or a wireless network.

[0016] Preferably, the linkage alarm system module includes a data receiving unit, an intelligent analysis chip and multiple communication interfaces; the data receiving unit is connected to the data transmission module of the face recognition device through a network cable to receive personnel identity recognition data; the data receiving unit is connected to the infrared radiation device through a signal transmission line to receive the infrared barrier crossing signal; the intelligent analysis chip is respectively connected to the data receiving unit and the multiple communication interfaces, and when an abnormality is determined, SMS notifications and email push notifications are sent to relevant personnel through these interfaces and sound and light alarms are triggered; the linkage alarm system module is connected to the monitoring center server through the network.

[0017] Preferably, the remote control maintenance curtain module includes a remote control reel mechanism, a wireless signal transceiver, a motor drive controller and a curtain body; the remote control reel mechanism is used to control the unfolding and folding of the curtain body; the wireless signal transceiver is used to receive control signals from a remote control or a mobile application; the motor drive controller is used to drive the motor in the remote control reel mechanism according to the signal received by the wireless signal transceiver, thereby realizing the control of the movement of the curtain body.

[0018] Preferably, the remote control maintenance curtain module also includes a remote control device, and the wireless signal transceiver establishes a connection with the remote control device through the wireless communication frequency band, and transmits the signal to the motor drive controller after receiving the control instruction; the motor drive controller is connected to the remote control reel mechanism through an electrical control line to control the unfolding and folding action of the curtain body; the wireless signal transceiver is connected to the linkage alarm module through the network, and when a fault or abnormality occurs during the unfolding or folding of the curtain body, an alarm message is sent to the linkage alarm module.

[0019] Preferably, the infrared radiation module comprises an infrared emitting end and an infrared receiving end; the infrared emitting end and the infrared receiving end are installed opposite to each other to form an infrared radiation barrier.

[0020] Preferably, the infrared transmitting end includes an infrared transmitting tube, a transmitting driving circuit and a transmitting power control module, and the infrared receiving end includes an infrared receiving tube, a signal amplifying circuit, a signal processing chip and an infrared communication interface connected to the linkage alarm module;

[0021] The transmission power control module is connected to the signal processing chip, and is used to adjust the transmission power and frequency according to the feedback of the signal processing chip; the signal processing chip is connected to the infrared communication interface, and the infrared communication interface is connected to the linkage alarm module through the signal transmission line, so as to transmit the alarm signal of the object crossing the infrared barrier to the linkage alarm module in time.

[0022] Preferably, the portable electronic screen prompt sign includes an electronic display screen, a display control chip, a wireless communication module and a magnetic base; the electronic display screen is used to display various prompt information, the display control chip is used to control the generation and update of the display content, the wireless communication module is used to receive information from the management module or other control terminals and transmit it to the display control chip, and the magnetic base is used to fix the prompt sign on the screen cabinet.

[0023] Preferably, the display control chip is connected to the electronic display screen through a data cable; the wireless communication module is connected to the display control chip to receive external information; the display control chip is used to drive the electronic display screen to update the display content; the wireless communication module of the portable electronic screen sign is connected to the linkage alarm module, and is used to send an alarm signal to the linkage alarm module when an abnormality is detected.

[0024] A second aspect of the present invention provides a safety management and control method, which adopts the above-mentioned intelligent safety management and control system for power operations, including:

[0025] Before the power maintenance work, a movable AI camera, a movable independent infrared beam-receiving device, a remote control maintenance curtain module and a portable electronic screen prompt sign are set up at the work site; the operator controls the remote control maintenance curtain module to unfold by holding a remote controller or using a mobile application, or in areas where the remote control maintenance curtain module is not installed, magnetically attaches a portable electronic screen prompt sign with dynamic display text set in advance to the on-site screen cabinet;

[0026] During the power maintenance operation, when an abnormal situation occurs, the linkage alarm system will notify relevant personnel through sound and light alarms, SMS notifications and / or platform push notifications, and provide the abnormal location, and notify relevant personnel to handle the abnormality;

[0027] After the power maintenance work, remove the portable electronic screen sign and remote control maintenance curtain module, and retract the movable AI camera and movable independent infrared radiation device to complete the power maintenance work.

[0028] Preferably, the remote control maintenance curtain module is controlled by an intelligent frequency adjustment algorithm to achieve optimization of adaptive frequency modulation.

[0029] Preferably, the intelligent frequency adjustment algorithm includes:

[0030] Step 1, set the weight coefficient, quality threshold, packet loss error threshold and transmission rate range, and initialize the modulation mode and transmission rate;

[0031] Step 2: measure the signal strength S in real time, count the number of interference sources N and their types T, and calculate the packet loss rate L and bit error rate E;

[0032] Step 3, based on the data measured in step 2, calculating the channel quality assessment value Q value;

[0033] Step 4, adjusting the modulation mode and the transmission rate based on the values ​​calculated in steps 2 and 3 and the threshold set in step 1;

[0034] Step 5: Record the adjustment results of step 4, save the communication parameters and optimal settings in different scenarios, and use them for early adjustment in similar scenarios in the future;

[0035] Step 6: Repeat steps 2-5 to continuously optimize communication.

[0036] Preferably, in step 2, the packet loss rate L is calculated as: the ratio of the number of lost frames to the total number of frames;

[0037] The bit error rate E is calculated as the ratio of the number of erroneous bits to the total number of bits.

[0038] Preferably, in step 3, the formula for calculating the channel quality assessment value Q value is:

[0039] Q=aS-bN-cT

[0040] Wherein, a, b, c are weight coefficients respectively, Q is the channel quality assessment value, S is the signal strength, N is the number of interference sources, and T is the type of interference source.

[0041] The beneficial effect of the present invention is that, compared with the prior art,

[0042] 1) Significantly improve safety: Through facial recognition technology and linkage alarm system, all-round and all-weather monitoring of power operation sites can be achieved, effectively preventing people from mistakenly entering dangerous areas and reducing the risk of safety accidents.

[0043] 2) Improve work efficiency: The application of remote maintenance curtains simplifies the isolation process of the maintenance area, reduces manual operations, and improves work efficiency. At the same time, the linkage alarm system can quickly respond to environmental anomalies and reduce troubleshooting and repair time.

[0044] 3) High level of intelligence: The system integrates a variety of intelligent technologies. The deep learning algorithm is embedded in the face recognition power fence module, and the image is processed in real time through the convolutional neural network (CNN) to achieve high-precision face recognition and identity authentication. The wireless communication module is integrated into each key component of the system, which can transmit data, instructions and status information in real time, realize remote monitoring, control and alarm notification, and realize intelligent management of the power operation site.

[0045] 4) Easy to deploy and maintain: The system adopts a modular design, and each module operates independently, which is easy to install, debug and maintain. At the same time, the system supports remote upgrades and configurations, reducing operation and maintenance costs.

[0046] The intelligent safety control system for power operations based on face recognition, linkage alarm and remote control maintenance curtain proposed in this invention realizes all-round monitoring and management of power operation sites through intelligent technology. This system not only significantly improves the safety and efficiency of power operations, but also improves the overall intelligence level of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a schematic diagram of the face recognition electronic fence module;

[0048] Figure 2 This is a schematic diagram of the mobile AI platform interface linkage;

[0049] Figure 3 This is a schematic diagram of the remote control maintenance curtain on the front of the screen cabinet;

[0050] Figure 4 This is a schematic diagram of the remote control inspection curtain on the back of the screen cabinet;

[0051] Figure 5 This is a schematic diagram of a wireless remote control;

[0052] Among them, the names of the components corresponding to the numbers in the figure are as follows:

[0053] 1-mobile AI platform interface linkage, 2-camera, 3-tripod, 4-wireless signal transceiver, 5-remote control reel mechanism, 6-wireless signal transceiver, 7-remote control reel mechanism, 8-remote control antenna, 9-wireless signal transceiver. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only embodiments of a part of the present invention, rather than all embodiments. Based on the spirit of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the protection scope of the present invention.

[0055] like Figure 1-5As shown, an embodiment of the present invention provides an intelligent safety management and control system for power operations based on face recognition, linkage alarm and remote control maintenance curtain, including a face recognition electronic fence module, a linkage alarm module, a remote control maintenance curtain module, an infrared counter-radiation module and a portable electronic screen prompt sign. The face recognition electronic fence module is connected to the linkage alarm module through a network connection, and is used to transmit the recognized personnel identity information to the linkage alarm module in real time, so that it can trigger the alarm mechanism in time when unauthorized personnel are found. The remote control maintenance curtain module is connected to the linkage alarm module through a communication link, and when the remote control maintenance curtain is abnormally unfolded or retracted or a relevant instruction of the linkage alarm module is received, a corresponding response can be made. The infrared counter-radiation device is connected to the linkage alarm module through a signal transmission line. Once the infrared counter-radiation barrier is crossed, the alarm signal is immediately sent to the linkage alarm module, which is uniformly processed and communicated to the monitoring center and other relevant parties. The portable electronic screen prompt sign is remotely controlled with the remote control maintenance curtain module and the linkage alarm module, and is used to receive instructions from the linkage alarm module, the remote control maintenance curtain module or other control terminals to realize remote publishing and switching of the displayed content. At the same time, when it detects abnormal information itself, it can also feed back the signal to the linkage alarm module, thereby achieving the interactive transmission and coordinated operation of information between the modules of the entire power operation intelligent safety management and control system, and ensuring the efficiency and reliability of power operation safety management and control.

[0056] The following is a detailed introduction to each module:

[0057] 1. Face recognition electronic fence module:

[0058] The face recognition electronic fence module includes a high-definition camera, an image acquisition card, a face recognition algorithm processor, and a data transmission module. The high-definition camera is used to collect analog image signals of face images, the image acquisition card is used to convert the analog image signals obtained by the high-definition camera into digital image signals, the face recognition algorithm processor uses the advanced deep learning convolutional neural network (CNN) algorithm to extract and recognize the features of the face in the digital image signal, and the data transmission module is used to transmit the recognition results and related data to the linkage alarm module.

[0059] The high-definition camera is connected to the image acquisition card through a data cable, the image acquisition card is connected to the face recognition algorithm processor through an internal bus, the face recognition algorithm processor is electrically connected to the data transmission module, and the data transmission module is connected to the linkage alarm module through a network cable (such as Ethernet) or a wireless network (such as WIFI, 5G) so that the personnel identity recognition information can be transmitted to the linkage alarm module in a timely manner for subsequent processing.

[0060] In a preferred but non-limiting embodiment of the present invention, the high-definition camera is a video camera or an AI camera, and four movable high-definition cameras are set at the power operation and maintenance site, two of which are video cameras for on-site video recording, and the other two are AI cameras for AI identification of unsafe behaviors.

[0061] Identity biometrics is performed based on a person's facial feature information. Images or video streams containing faces are collected through a camera or AI camera, and faces are automatically detected and tracked in the image, and the detected faces are recognized.

[0062] The present invention adopts the CNN algorithm in deep learning. Compared with the traditional face recognition algorithm, CNN can automatically learn the deep-level features of face images and has stronger recognition ability for faces under different lighting, angles, expressions, etc. It can extract key features from a large amount of face data, improve the accuracy and robustness of recognition, and effectively reduce the misrecognition caused by environmental factors and changes in face posture.

[0063] The present invention uses multiple cameras to work together: four movable AI cameras are set up at the power operation and maintenance site, two of which are used for on-site video recording, and the other two are specifically used for AI to identify unsafe behaviors. This multi-camera layout and division of labor and cooperation method can collect facial images and video streams from all directions and angles, increasing the richness and diversity of data. It can not only improve the success rate of recognition, but also better monitor the behavioral dynamics of on-site personnel, timely discover potential safety hazards, and realize the organic combination of identity recognition and safety behavior monitoring.

[0064] Real-time matching and rapid response: The system can quickly match the detected face with the face images in the linkage face database. Once the matching similarity reaches the set threshold, the personnel in the specific area will be effectively monitored and identified immediately, and the alarm mechanism will be quickly triggered. Relevant personnel will be notified in a timely manner through SMS, APP push and other methods, and the image and location information of the intruder will be displayed at the same time, realizing an efficient process from identification to response, greatly improving the timeliness and effectiveness of security management and control, and reducing security risks.

[0065] The system will match the detected face with the face images in the linked face database. When the matching similarity reaches the set similarity, it can effectively monitor and identify people in the specific area and trigger an alarm.

[0066] Through the acquired video data, human body shape and behavior patterns are identified to determine whether someone has entered the restricted area. When a moving target enters, leaves or appears in the limited monitoring area, the system executes an alarm linkage action.

[0067] The embodiment of the present invention has intelligent dynamic restriction logic: the system can flexibly set the scope and effective time of the restricted area according to different power operation tasks and equipment operation status. In a preferred but non-restrictive embodiment of the present invention, during equipment maintenance, a certain range around the maintenance equipment is automatically designated as a restricted area. When the equipment maintenance is completed and resumed, the area restriction is automatically lifted. It can effectively adapt to the changing working scenes at the power operation site and avoid the limitations of the traditional fixed restricted area setting.

[0068] The embodiment of the present invention has accurate human behavior analysis criteria: using advanced image recognition and analysis technology, it can not only identify whether a person has entered a restricted area, but also analyze the method of entry and behavioral intention. Through human posture detection, it is determined whether the person is walking normally or entering the restricted area with abnormal behaviors such as climbing or crossing. If abnormal behavior is detected, the system will immediately trigger a higher level of alarm linkage action to prevent potential safety accidents in advance. The residence time of the moving target around the restricted area is analyzed and judged. If a person stays at the edge of the restricted area for a long time and behaves suspiciously, the system will also issue an early warning prompt to prevent safety problems caused by the person's hesitation or tentative behavior, further enhancing the security prevention capabilities of the restricted area.

[0069] When an unauthorized person is identified, the system's linkage alarm system module will immediately trigger the alarm mechanism, notify relevant personnel through SMS, APP push, etc., and display the intruder's image and location information.

[0070] 2. Linkage alarm system module:

[0071] The linkage alarm system module includes a data receiving unit, an intelligent analysis chip, a variety of communication interfaces (such as SMS module interface, mail server interface, sound and light alarm interface, etc.) and communication ports connected to other modules. The data receiving unit receives data from modules such as the face recognition device and the infrared radiation device, and the intelligent analysis chip analyzes and processes the received data to determine whether there is an abnormality. If there is an abnormality, the alarm action is triggered through the corresponding communication interface.

[0072] The linkage alarm system module includes environmental monitoring sensors such as temperature sensors, humidity sensors, smoke detectors, and sound sensors. It analyzes sensor data through intelligent algorithms to determine whether there are safety hazards.

[0073] The data receiving unit is connected to the data transmission module of the face recognition device through a network cable to receive personnel identification data; at the same time, the data receiving unit is connected to the infrared radiation device through a signal transmission line to receive the infrared barrier crossing signal. The intelligent analysis chip is connected to the data receiving unit for data processing. The intelligent analysis chip is connected to a variety of communication interfaces (such as SMS module interface, mail server interface, sound and light alarm interface) respectively. When an abnormality is determined, SMS notifications and email push notifications are sent to relevant personnel through these interfaces and sound and light alarms are triggered. In addition, the linkage alarm system module is also connected to the monitoring center server through the network to upload the alarm information and related data to the monitoring center so that the monitoring personnel can grasp the on-site situation in a timely manner.

[0074] The inspection behavior recognition AI camera is used to determine whether there are safety hazards. Real-time judgment will be made based on the preset safety threshold, and corresponding alarm information will be generated. The safety threshold is a dynamic indicator system that comprehensively considers multiple factors such as the environment, personnel behavior, and equipment operating status. It is optimized and adjusted through continuous data analysis and practical experience summary to ensure that safety hazards in the power operation process can be accurately and timely discovered. Personnel behavior parameters: Through the analysis of historical operation data and safety specification requirements, the thresholds of behavioral parameters such as the residence time and movement amplitude of personnel in a specific area are determined. In a preferred but non-limiting embodiment of the present invention, an alarm is triggered when, for example, the personnel stay time exceeds 3 minutes or there are actions that may cause danger, such as fast running, large-scale swinging of metal tools, etc. The threshold settings of these parameters have been verified by simulation experiments and actual operation scenarios to ensure the effective identification of safety hazards of personnel behavior.

[0075] Once an abnormality is detected, the system will immediately activate the linkage alarm mechanism and notify relevant personnel through sound and light alarms, SMS notifications, platform push, etc. At the same time, the system will display the location and type of the abnormality to help relevant personnel quickly locate and deal with safety hazards.

[0076] 3. Remote control maintenance of curtain module:

[0077] The remote control maintenance curtain module includes a remote control device, a remote control reel mechanism, a wireless signal transceiver, a motor drive controller and a curtain body. The remote control reel mechanism is used to control the unfolding and folding of the curtain body, the wireless signal transceiver is used to receive control signals from a remote control or a mobile application, and the motor drive controller is used to drive the motor in the remote control reel mechanism to operate according to the signal received by the wireless signal transceiver, thereby realizing the control of the movement of the curtain body.

[0078] The wireless signal transceiver establishes a connection with the remote control device (such as a remote control or a mobile application) through a wireless communication frequency band (such as Wi-Fi, Bluetooth, etc.), and transmits the signal to the motor drive controller after receiving the control command. The motor drive controller is connected to the motor in the remote control reel mechanism through an electrical control line to control the forward and reverse rotation and speed of the motor, thereby controlling the unfolding and folding of the curtain body. The wireless signal transceiver of the remote control curtain maintenance module is also connected to the linkage alarm module through the network. When a fault or abnormality occurs during the unfolding or folding of the curtain body, an alarm message can be sent to the linkage alarm module, and the linkage alarm module will then perform corresponding processing and notification.

[0079] Install remote control maintenance curtain modules in key maintenance areas at power operation sites to ensure that all areas that need to be isolated are covered.

[0080] The remote control inspection curtain module of the embodiment of the present invention uses wireless communication technology (such as Wi-Fi, Bluetooth, etc.) to realize the remote control function. The operator can remotely control the deployment and retraction of the remote control inspection curtain module through a handheld remote control or a mobile application.

[0081] The remote control function has adaptive frequency modulation technology. When the channel quality is good, the system can select high-order modulation and higher transmission rate to improve the data throughput of the system. When the channel quality is poor, the system can select low-order modulation and lower transmission rate to improve the anti-interference performance and transmission reliability of the system. The modulation mode and transmission rate can be dynamically adjusted according to the quality and conditions of the wireless channel to improve efficiency and performance, and ensure the stability and reliability of the remote control operation.

[0082] Remote pairing and calibration of the remote control. The remote control and the controlled device are connected without contact. When the device is powered on and in pairing mode, press the pairing button on the remote control to pair. After pairing is successful, the remote control can remotely control the device. The calibration operation is achieved by capturing the minimum, maximum and median values ​​of the input channel of the remote control to ensure that the device can correctly respond to the remote control's instructions, which is convenient for operators to use and maintain.

[0083] System integration and coordination: The present invention deeply integrates the remote control maintenance curtain module with other key modules such as the face recognition electronic fence module and the linkage alarm system module. When the face recognition module identifies an unauthorized person or the linkage alarm system detects an abnormal situation, it can automatically send instructions to the remote control maintenance curtain module to quickly deploy the curtain for isolation and protection, thus achieving efficient coordination between multiple modules. This is an important innovation that distinguishes it from a simple remote control curtain device. The integrated design can build a complete power operation safety management and control ecosystem, greatly improving the overall safety and emergency response capabilities.

[0084] Optimization of adaptive frequency modulation: At the power operation site, the wireless communication environment is complex and changeable. Factors such as signal strength, number and type of interference sources will affect the communication quality. This intelligent frequency adjustment algorithm aims to dynamically select the appropriate modulation mode and transmission rate based on these complex environmental factors, while monitoring the data packet loss rate and bit error rate in real time to ensure the stability and reliability of signal transmission and improve the efficiency and accuracy of remote control operations. The innovation of this invention lies in the development of a set of intelligent frequency adjustment algorithms for the complex and changeable wireless communication environment at the power operation site.

[0085] The core parameters of the intelligent frequency adjustment algorithm are as follows:

[0086] Signal strength (S): unit: dBm, obtained by real-time measurement.

[0087] Number of interference sources (N): obtained through spectrum analysis statistics.

[0088] Interference source type (T): Different interference types are represented by digital codes.

[0089] Packet loss rate (L): the ratio of the number of lost frames to the total number of frames.

[0090] Bit error rate (E): The ratio of the number of erroneous bits to the total number of bits.

[0091] Transmission rate (R): unit: bps, parameter adjusted by the algorithm.

[0092] Modulation mode (M): Use digital codes to represent different modulation modes, such as 1 for BPSK and 2 for QPSK.

[0093] Intelligent frequency adjustment algorithm principle:

[0094] Channel quality assessment: The channel quality assessment value Q is calculated based on the signal strength, number and type of interference sources. The formula is: Q = aS-bN-cT, where a, b, and c are weight coefficients and are adjusted based on actual conditions.

[0095] Modulation and rate selection: Select the modulation mode and transmission rate according to the Q value. Set the threshold range of low, medium and high Q values. When the Q value is high, select high-order modulation and high rate; when the Q value is medium, select moderate modulation and rate; when the Q value is low, select low-order modulation and low rate.

[0096] Abnormal adjustment of the intelligent frequency adjustment algorithm: When the packet loss rate exceeds the set threshold or the bit error rate is higher than the set threshold, the modulation order is reduced and the transmission rate is reduced.

[0097] In a preferred but non-limiting embodiment of the present invention, when the packet loss rate exceeds 5% or the bit error rate is higher than 0.5%, the modulation order is reduced and the transmission rate is reduced to 80% of the original.

[0098] The abnormal adjustment steps of the intelligent frequency adjustment algorithm are as follows:

[0099] Initialization: Set the weight coefficient, quality threshold, packet loss error threshold and transmission rate range, and initialize the modulation mode and transmission rate.

[0100] Real-time monitoring: Real-time measurement of signal strength S, statistics of the number of interference sources N and types T, and calculation of packet loss rate L and bit error rate E.

[0101] Quality assessment: Calculate the Q value according to the formula.

[0102] The formula for calculating the channel quality assessment value Q value is:

[0103] Q=aS-bN-cT

[0104] Wherein, a, b, and c are weight coefficients set in step 1, Q is the channel quality assessment value, S is the signal strength, N is the number of interference sources, and T is the type of interference source.

[0105] Parameter adjustment: Adjust the modulation mode and transmission rate according to the Q value, packet loss rate and bit error rate.

[0106] Learning and Memory: Record the communication parameters and optimal settings in different scenarios, and make adjustments in advance when encountering similar memorized scenarios.

[0107] Loop execution: Repeat the above steps continuously to continuously optimize communication.

[0108] The algorithm can not only dynamically select the appropriate modulation mode and transmission rate according to channel quality such as signal strength, number and type of interference sources, but also monitor the data packet loss rate and bit error rate in real time during the communication process. When the packet loss rate exceeds a certain threshold (such as 5%) or the bit error rate is higher than the set value (such as 0.5%), the modulation mode is automatically switched and the transmission rate is reduced to ensure the stability and reliability of signal transmission. At the same time, the algorithm also has learning and memory functions, which can predict and adjust the frequency in advance according to the characteristics of the communication environment in different areas and time periods, further improving the efficiency and accuracy of remote control operations.

[0109] Design of remote pairing and calibration: The embodiment of the present invention designs a method based on encrypted authentication and multi-parameter calibration. During the pairing process, an encrypted communication protocol is used between the remote control and the controlled device to prevent access by illegal devices and signal interference. After the pairing is successful, the calibration process involves precise calibration of multiple key parameters of the motor drive controller, such as speed, torque, stroke, etc. By building high-precision sensors on the device side, the motor operation data is collected in real time and fed back to the remote control. The remote control compares and analyzes these data with the preset standard parameters, and automatically adjusts the control signal to ensure that the position accuracy of the unfolding and retracting of the curtain is controlled within the millimeter range, thereby improving the accuracy and reliability of the remote control operation.

[0110] 4. Infrared radiation module:

[0111] The infrared beam module includes an infrared transmitting end and an infrared receiving end. The infrared transmitting end includes an infrared transmitting tube, a transmitting driving circuit and a transmitting power control module, and the infrared receiving end includes an infrared receiving tube, a signal amplifying circuit, a signal processing chip and an infrared communication interface connected to the linkage alarm module. The infrared transmitting tube emits an infrared beam under the action of the transmitting driving circuit and the transmitting power control module, and the infrared receiving tube receives the reflected or blocked infrared beam signal, which is amplified by the signal amplifying circuit and analyzed and judged by the signal processing chip. If it is judged that an object has passed through the infrared barrier, an alarm signal is sent to the linkage alarm module through the communication interface.

[0112] The infrared transmitting end and the infrared receiving end of the infrared radiation module are installed opposite to each other to form an infrared radiation barrier. The transmission power control module of the infrared transmitting end is connected to the signal processing chip to adjust the transmission power and frequency according to the feedback of the signal processing chip. The signal processing chip of the infrared receiving end is connected to the infrared communication interface, and the infrared communication interface is connected to the linkage alarm module through the signal transmission line to transmit the alarm signal of the object passing through the infrared barrier to the linkage alarm module in time.

[0113] According to the needs of on-site work, a movable independent infrared counter-radiation device is set for the maintenance panel cabinet or maintenance area to form an infrared barrier in the working area. In a preferred but non-restrictive embodiment of the present invention, the position can be based on the layout of the risk area on the one hand: for the infrared counter-radiation device, it will be set according to the important equipment area, maintenance area and the path where personnel and equipment are frequently active at the power operation site. For example, in a substation, independent infrared counter-radiation devices are set around key equipment such as high-voltage switch cabinets and transformers to form an infrared barrier in important areas to prevent accidental approach by personnel or small animals and cause safety accidents. In the maintenance panel cabinet or maintenance area, a movable independent infrared counter-radiation device is set according to the scope of the maintenance work and the possible movement direction of personnel and objects to ensure effective monitoring and protection during the maintenance process. This layout method can accurately protect high-risk areas and minimize safety hazards.

[0114] On the other hand, the layout can be combined with the operation process and monitoring requirements: the setting of AI cameras is closely combined with the power operation process and monitoring requirements. At the power operation and maintenance site, some AI cameras are used for on-site video recording, and are usually installed in a position that can fully cover the main areas of the operation site, such as high brackets or fixed points on buildings, so as to clearly record the entire operation process. Other cameras used for AI to identify unsafe behaviors will be deployed in areas where illegal operations are prone to occur or safety risks are high, such as areas near live equipment operation areas and hazardous chemical storage areas. Through such a setting, the operation process can be monitored and analyzed in a targeted manner, and potential safety problems can be discovered in a timely manner. The movable independent infrared counter-radiation device can achieve adjustable transmission power and frequency, and can be flexibly changed according to the environment, solving the problem that traditional devices are difficult to adapt to complex environments; power consumption and transmission distance can be controlled and accurately regulated to overcome the poor traditional power consumption and distance control conditions; the intelligent judgment function distinguishes the passing objects according to the signal changes, uses algorithms to reduce the false alarm rate, and improves the existing false alarms and inaccurate recognition.

[0115] In a preferred but non-limiting embodiment of the present invention, infrared counter-radiation is arranged according to the characteristics of maintenance and important areas and the activity paths of personnel and equipment. AI cameras can be distributed according to the key work site, frequent personnel and equipment activities, and dangerous areas to ensure work safety and accurate monitoring.

[0116] The infrared radiation module in the embodiment of the present invention has the following advantages:

[0117] Adjustable transmission power and frequency: The infrared radiation module of the present invention can realize flexible adjustment of transmission power and frequency. In complex power operation environments, such as when there are different degrees of electromagnetic interference or obstructions, the transmission power and frequency can be dynamically changed according to actual conditions.

[0118] The infrared radiation module realizes the dynamic change of the transmission power and frequency at the hardware level, including the transmission power control module and the frequency adjustment module. Specifically:

[0119] In a preferred but non-limiting embodiment of the present invention, the transmission power control module uses a digital potentiometer or a programmable gain amplifier (PGA) to adjust the transmission power. The digital potentiometer can change its resistance value through the digital signal output by the microcontroller, thereby adjusting the current of the transmission drive circuit, and then changing the transmission power of the infrared transmitting tube.

[0120] In a preferred but non-limiting embodiment of the present invention, for example, when the signal processing chip detects that the signal received by the receiving end is weak and determines that it may be caused by insufficient transmission power, the signal processing chip sends an instruction to the microcontroller, and the microcontroller outputs a corresponding digital signal to the digital potentiometer according to a preset algorithm, thereby increasing its resistance value, thereby increasing the current of the transmission drive circuit and enhancing the transmission power of the infrared transmitting tube.

[0121] In a preferred but non-limiting embodiment of the present invention, the frequency adjustment module uses a direct digital frequency synthesizer (DDS) to adjust the transmission frequency. The DDS quickly generates signals of different frequencies through the control word input by the microcontroller as the clock signal of the transmission drive circuit, thereby controlling the transmission frequency of the infrared transmitting tube. When the signal processing chip detects the presence of electromagnetic interference of a specific frequency in the environment, the signal processing chip sends an instruction to the microcontroller, and the microcontroller generates a corresponding control word through a preset algorithm based on the information of the interference frequency, and inputs it into the DDS, so that it outputs a new frequency signal that avoids the interference frequency, thereby changing the transmission frequency of the infrared transmitting tube.

[0122] The infrared beam module dynamically changes the transmission power and frequency at the software algorithm level, including:

[0123] Signal monitoring and analysis algorithm: The signal processing chip continuously monitors and analyzes the received infrared signals. Through real-time calculation and comparison of parameters such as signal strength and waveform, it determines whether the current signal is interfered with or abnormal. For example, a signal strength threshold is set. When the received signal strength is lower than the threshold, it is considered that the signal may be interfered with or attenuated, and the transmission power needs to be adjusted. At the same time, the waveform of the signal is analyzed by Fourier transform to detect whether there is interference component of a specific frequency, so as to determine whether the transmission frequency needs to be adjusted.

[0124] Dynamic adjustment decision algorithm: Based on the results of signal monitoring and analysis, the signal processing chip determines the adjustment strategy of transmission power and frequency according to the preset decision algorithm. For example, when the signal strength is detected to be lower than the threshold and the interference frequency is low, the decision algorithm may give priority to increasing the transmission power; when specific high-frequency interference is detected, the decision algorithm gives priority to adjusting the transmission frequency to avoid interference. The signal processing chip sends the decision result to the microcontroller, which controls the corresponding hardware module to adjust the transmission power and frequency.

[0125] There may be strong electromagnetic interference near some large equipment in the substation. By reducing the transmission frequency and appropriately increasing the transmission power, it is ensured that the infrared signal can be transmitted stably and accurately received by the receiving end, which effectively solves the problem that traditional devices are difficult to adapt to complex environments. The existing technology uses fixed transmission power and frequency, which is prone to unstable signal transmission or false alarms when facing complex and changing environments.

[0126] Power consumption and emission distance are controllable: through a unique control method, a single light beam is emitted at a preset time interval, and multiple infrared emission drive modules are controlled to emit in sequence, which accurately reduces power consumption. At the same time, the duty cycle and peak current of the pulse signal and other parameters can be adjusted according to actual needs to accurately control the emission distance of infrared light. In large-scale power facilities, the protection requirements for different areas are different. Some areas may require a longer emission distance, while some areas pay more attention to reducing power consumption. The present invention can meet such diverse needs and overcome the shortcomings of traditional infrared emitting devices in power consumption and distance control.

[0127] Intelligently distinguish between passing objects: The present invention uses a signal processing chip based on the length of time the infrared beam signal is interrupted when an object passes through, the amplitude of the intensity change, and other characteristics. After training a large amount of experimental data, it can accurately identify the size and type of passing objects by combining pattern recognition and threshold judgment algorithms. When small animals such as cats and dogs pass through, the system can make intelligent judgments and avoid false alarms, and when objects such as human bodies that may cause safety hazards are detected passing through, the alarm mechanism is immediately triggered. In contrast, existing technologies may be weak in distinguishing passing objects, and are prone to a large number of false alarms, which increases unnecessary management costs and the difficulty of troubleshooting safety hazards.

[0128] Fully sealed structure and environmental adaptability: The integrated structure design is fully sealed to prevent rain, fog, dust, insects, etc., and combined with advanced signal analysis and processing technology, the module can work normally in harsh environmental conditions, such as heavy rain, dense fog, strong electromagnetic interference, etc. It can still maintain ultra-high detection and anti-false alarm performance and has all-weather working capabilities. Traditional infrared anti-radiation devices may experience performance degradation or even failure in the face of bad weather or complex environments, and cannot meet the high requirements of safety protection for power operations.

[0129] According to the needs of on-site work, independent infrared counter-reflection devices are set up in important equipment areas to form infrared barriers in important areas.

[0130] Both the face recognition device and the infrared counter-radiation device are connected to the linkage alarm module. When the face recognition device recognizes that a person has entered the working area and determines his / her identity (through the convolutional neural network CNN algorithm in deep learning), the system will establish a temporary data identification for the person. When the infrared counter-radiation device detects that an object has crossed the infrared barrier, it will send a signal to the linkage alarm module. The linkage alarm module uses the data association algorithm to try to match the signal corresponding to the object that has crossed the infrared barrier with the data identification of the person who has just entered the working area. When the infrared counter-radiation device detects that an object has crossed the infrared barrier, it will immediately send a signal containing information such as the time and location of the object crossing and the characteristics of the infrared signal to the linkage alarm module. At the same time, after the face recognition device recognizes that a person has entered the working area, it will generate a data record for the person containing information such as the time of entry, location, facial feature data, and the assigned unique data identification, and store it in the system's temporary database.

[0131] After the linkage alarm module receives the infrared signal, it first extracts key information from the signal, such as the crossing location and time. Then, the temporary database is searched for the data identifiers of personnel who enter the operating area at similar times and locations. As for the definition of the time range, in a preferred but non-restrictive embodiment of the present invention, it can be set to within 1-5 minutes before and after the object passes through (which can be adjusted according to the actual operation scene and safety requirements), and the position range is determined according to the installation location of the infrared counter-radiation device and its monitoring range, for example, within a radius of 5-10 meters around the infrared counter-radiation device (which can also be optimized according to actual conditions).

[0132] After searching for potentially relevant personnel data identifiers, further compare the logical relationship between the personnel entry position and the infrared crossing position. If the personnel entry position is on a path that may lead to crossing the infrared barrier, and the time sequence is reasonable, that is, the personnel entry time is earlier than the object crossing time and the time interval conforms to the normal action logic, then it is determined that the two are related, and the corresponding alarm level upgrade or special processing process is triggered. If no qualified personnel data identifier is found or the association logic is not established, it is processed according to the conventional infrared barrier crossing alarm, and the relevant information is recorded for subsequent analysis and troubleshooting of possible abnormal situations.

[0133] Adjustability of transmission power and transmission frequency:

[0134] Traditional infrared beam-receiving devices may use fixed transmission power and transmission frequency, which limits their ability to adapt to different environments and application scenarios. However, the infrared beam-receiving module in the present invention can flexibly adjust the transmission power and transmission frequency by sending a pulse signal to the pulse control end of the infrared emission driving module through the control module. This adjustability enables the infrared beam-receiving module to better adapt to different environmental conditions and safety requirements.

[0135] Reduced power consumption and controllable transmission distance:

[0136] The infrared beam module in the present invention reduces power consumption by controlling the control module to emit a single beam at a preset time interval and controlling multiple infrared emission drive modules to emit single beams in a preset order. At the same time, the emission distance of the infrared light can be controlled by adjusting the duty cycle and peak current of the pulse signal. The characteristics of reduced power consumption and controllable emission distance make the infrared beam module perform well in long-term operation and long-distance prevention.

[0137] Intelligent judgment function:

[0138] The infrared beam module in the patent of this invention also has an intelligent judgment function. The infrared beam module uses a hardware structure composed of an infrared transmitting tube, a transmitting drive circuit, a transmitting power control module, an infrared receiving tube, a signal amplification circuit, a signal processing chip and a communication interface. The signal processing chip is based on the characteristics of the infrared beam signal interruption time length and intensity change amplitude when the object passes through. After training a large amount of experimental data, the signal pattern is identified and the size and type of the object passing through is judged according to the threshold. The fully sealed structure and advanced signal analysis and processing technology are used to adapt to harsh environments and adjust the threshold according to the environment, thereby realizing the intelligent judgment function. It can distinguish the size and type of the object passing through. When there is an illegal intrusion, such as a person crossing the cordon, the module will send an alarm signal; when a small animal such as a cat or dog passes through, it will not alarm. This intelligent judgment function greatly reduces the false alarm rate and improves the accuracy of security precautions.

[0139] The data processing process of intelligent judgment is as follows:

[0140] 1. Signal acquisition and preprocessing

[0141] When an object passes through the infrared radiation area, the infrared beam emitted by the infrared transmitting tube is blocked or reflected, and the infrared receiving tube receives the changing infrared signal. The signal is first amplified by the signal amplification circuit to enhance the weak signal changes for subsequent processing. The amplified signal is transmitted to the signal processing chip, which filters the signal, removes noise interference, and extracts useful signal features, such as the length of signal interruption time and the amplitude of intensity change.

[0142] 2. Feature analysis and pattern recognition

[0143] The signal processing chip compares and analyzes the extracted features with a large amount of experimental data and patterns pre-stored in the internal memory. These experimental data are accumulated and sorted out from the infrared signal features collected when various objects (including people, animals of different sizes, debris, etc.) pass through the infrared radiation area under different environmental conditions. Machine learning algorithms (such as support vector machines, neural networks, etc.) are used to train these data and build a classification model. When a new signal feature is received, the classification model can quickly determine the category to which the signal belongs and preliminarily determine whether it is a possible intrusion object or a non-threatening object.

[0144] 3. Threshold judgment and decision-making

[0145] According to the output of the classification model, further judgment is made in combination with the pre-set threshold. For possible intrusion object categories, the signal characteristics will be further compared with the threshold range set for objects of different sizes and types. For example, if the signal interruption time is long and the intensity change amplitude is large, and it meets the characteristic threshold range of human crossing, it is judged as a possible human intrusion; if the signal interruption time is short and the intensity change amplitude is small, it meets the characteristic threshold range of small animals, it is judged as a possible small animal crossing. If the judgment result exceeds the corresponding alarm threshold, the alarm signal is triggered, and the judgment result (including preliminary judgment information of the object type and size) is transmitted to the linkage alarm module through the communication interface for further processing and notification of relevant personnel.

[0146] The methods for distinguishing the size and type of objects are as follows:

[0147] 1. Time feature analysis method: For objects of different sizes and types, the speed and time they cross the infrared beam area are usually different. For example, people have relatively large steps and the time interval for crossing the infrared beam is relatively long; while small animals such as cats and dogs move faster and have smaller steps, so the time interval for crossing is shorter. By accurately measuring the time interval of the interruption of the infrared beam signal and comparing it with the time threshold range of different objects obtained by pre-training, the size and type of the object can be preliminarily distinguished.

[0148] 2. Intensity change characteristic analysis method: The size and material of the object will also affect the reflection and absorption characteristics of the infrared beam, resulting in different changes in the signal intensity received by the infrared receiving tube. Larger objects usually cause greater changes in signal intensity, while small objects have relatively small changes in signal intensity. At the same time, objects of different materials (such as metal tools and organisms) also reflect and absorb infrared light differently. By analyzing the amplitude and curve shape of the signal intensity change, it can further assist in determining the type of object. Strong environmental adaptability:

[0149] The infrared radiation module in the patent of this invention adopts an integrated structure design that is fully sealed to prevent rain, fog, dust, insects, etc., as well as advanced signal analysis and processing technology. This enables the module to work normally in harsh environments and provides ultra-high detection and anti-false alarm performance. At the same time, the module also has all-weather working capabilities and can resist interference from adverse weather and meteorological conditions such as rain, fog, haze, strong water vapor, and strong sunlight.

[0150] The present invention uses a convolutional neural network (CNN) model based on deep learning to identify infrared signal patterns. The model is trained with a large amount of experimental data, including signal data generated by different objects passing through infrared radiation areas under different environmental conditions. The CNN model can automatically learn and extract deep-level features of the signal, such as the waveform change law of the signal, the frequency distribution characteristics, etc. Compared with the traditional rule-based signal recognition method, it has stronger adaptability and accuracy. For example, when a new type of interference signal or object crossing mode appears, the deep learning model can quickly adapt and accurately identify by continuously learning and updating weights, effectively reducing the false alarm rate.

[0151] The present invention has online learning capabilities, and continuously collects new infrared signal data and actual environmental information during system operation. When a signal pattern or environmental condition change that is different from the past is detected, the system automatically adds these new data to the training set and updates and optimizes the deep learning model. The online learning mechanism enables the infrared counter-radiation module to continuously adapt to the dynamic changes at the power operation site, such as signal changes caused by equipment updates, environmental modifications, etc., and always maintain high detection performance and low false alarm rate. However, the existing technology often lacks this self-learning and adaptability, and is prone to performance degradation in long-term operation.

[0152] 5. Portable electronic screen sign:

[0153] The portable electronic screen prompt sign includes an electronic display screen, a display control chip, a wireless communication module and a magnetic base. The electronic display screen is used to display various prompt information, the display control chip is used to control the generation and update of the display content, the wireless communication module is used to receive information from the management module or other control terminals and transmit it to the display control chip, and the magnetic base is used to facilitate the fixing of the prompt sign on the screen cabinet.

[0154] The display control chip is connected to the electronic display screen through a data cable to control the display of the display content. The wireless communication module is connected to the display control chip to receive external information. The wireless communication module is connected to the management module through a wireless communication network (such as Wi-Fi, Bluetooth or a wireless communication protocol of a specific frequency band), receives the prompt information edited by the management module and transmits it to the display control chip, and the display control chip drives the electronic display screen to update the display content according to the received information. At the same time, the wireless communication module can also establish a connection with the remote control maintenance curtain module, etc., to achieve linkage control of the display content and the actions of other devices. For example, when the curtain body is unfolded, the corresponding maintenance area isolation prompt information is displayed. In addition, the wireless communication module of the portable electronic screen prompt sign can also be connected to the linkage alarm module. When it detects an abnormality (such as low power, display failure, etc.), it sends an alarm signal to the linkage alarm module for timely processing.

[0155] Before work, use a mobile phone or other mobile terminal to set the display screen to dynamically display text according to work needs, such as: no touching, high voltage danger, maintenance interval, operation interval and other text information or warning information.

[0156] The set-up electronic screen will be magnetically attached to the screen frame or handle of the on-site screen cabinet.

[0157] This technology can be used in temporary emergency repair scenarios or in scenarios where there is no remote control curtain setting.

[0158] The intelligent safety management and control system for power operations based on face recognition, linkage alarm and remote control maintenance curtain modules proposed in this invention realizes all-round monitoring and management of power operation sites through intelligent technology. This system not only significantly improves the safety and efficiency of power operations, but also improves the overall intelligence level of the power system. In the future, we will continue to optimize algorithms and hardware performance, and explore the application of more intelligent technologies in the safety management and control of power operations, such as the introduction of AI-assisted decision-making and augmented reality technology, to contribute to the safe development of the power industry. At the same time, we will also pay attention to the requirements of relevant laws, regulations and standards to ensure the compliance and reliability of the system.

[0159] It also includes a remote monitoring center for receiving and displaying alarm information from the face recognition electronic fence module and the linkage alarm system module, as well as controlling the deployment and retraction of the remote control maintenance curtain module.

[0160] The embodiment of the present invention further discloses a safety control method based on the above-mentioned intelligent safety control system for electric power operations, comprising:

[0161] Before the power maintenance work, a movable AI camera, a movable independent infrared radiation device, a remote maintenance curtain module and a portable electronic screen prompt sign are set up at the work site;

[0162] In a preferred but non-limiting embodiment of the present invention, four movable AI cameras are set up at the power operation and maintenance site, two of which are used for on-site video recording, and the other two are used for AI identification of unsafe behaviors.

[0163] The movable independent infrared radiation device is used to form an infrared barrier in the working area.

[0164] Before the power maintenance work, the operator uses a handheld remote control or mobile application to remotely control the deployment of the remote control maintenance curtain module, or in areas where the remote control maintenance curtain module is not installed, the operator magnetically attaches a portable electronic screen prompt sign with dynamic display text set in advance to the on-site screen cabinet.

[0165] During the power maintenance operation, when an abnormal situation occurs, the linkage alarm system will notify relevant personnel through sound and light alarms, SMS notifications and / or platform push notifications, and provide the abnormal location, and notify relevant personnel to handle the abnormality;

[0166] Specific events that may trigger the linkage alarm system include but are not limited to:

[0167] 1. Unauthorized persons pass through the AI ​​camera;

[0168] 2. The AI ​​camera identifies inspection behaviors that pose safety risks;

[0169] 3. The object passes through the infrared barrier formed by the movable independent infrared radiating device.

[0170] After the power maintenance work, remove the portable electronic screen sign and remote control maintenance curtain module, and retract the movable AI camera and movable independent infrared radiation device to complete the power maintenance work.

[0171] The remote control maintenance curtain module is controlled by an intelligent frequency adjustment algorithm to achieve optimization of adaptive frequency modulation.

[0172] Intelligent frequency adjustment algorithm includes:

[0173] Step 1, set the weight coefficient, quality threshold, packet loss error threshold and transmission rate range, and initialize the modulation mode and transmission rate;

[0174] Step 2: measure the signal strength S in real time, count the number of interference sources N and their types T, and calculate the packet loss rate L and bit error rate E;

[0175] The packet loss rate L is calculated as: the ratio of the number of lost frames to the total number of frames;

[0176] The bit error rate E is calculated as the ratio of the number of erroneous bits to the total number of bits.

[0177] Step 3, based on the data measured in step 2, calculating the channel quality assessment value Q value;

[0178] The formula for calculating the channel quality assessment value Q is:

[0179] Q=aS-bN-cT

[0180] Wherein, a, b, c are weight coefficients respectively, Q is the channel quality assessment value, S is the signal strength, N is the number of interference sources, and T is the type of interference source.

[0181] Step 4, adjusting the modulation mode and the transmission rate based on the values ​​calculated in steps 2 and 3 and the threshold set in step 1;

[0182] In a preferred but non-limiting embodiment of the present invention, when the packet loss rate exceeds 5% or the bit error rate is higher than 0.5%, the modulation order is reduced and the transmission rate is reduced to 80% of the original.

[0183] Step 5: Record the adjustment results of step 4, save the communication parameters and optimal settings in different scenarios, and use them for early adjustment in similar scenarios in the future;

[0184] Step 6: Repeat steps 2-5 to continuously optimize communication.

[0185] The intelligent safety management and control system for power operations based on face recognition, linkage alarm and remote control maintenance curtain proposed in the present invention realizes all-round monitoring and management of the power operation site through intelligent technology. This system not only significantly improves the safety and efficiency of power operations, but also improves the overall intelligence level of the power system. In the future, we will continue to optimize algorithms and hardware performance, and explore the application of more intelligent technologies in the safety management and control of power operations, such as the introduction of AI-assisted decision-making and augmented reality technology, to contribute to the safe development of the power industry. At the same time, we will also pay attention to the requirements of relevant laws, regulations and standards to ensure the compliance and reliability of the system.

[0186] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0187] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0188] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0189] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0190] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An intelligent safety management and control system for power operations, characterized in that: include: Face recognition electronic fence module, linkage alarm module, remote control maintenance curtain module, infrared beam module and portable electronic screen prompt board; the face recognition electronic fence module is connected to the linkage alarm module through a network connection, and is used to transmit the recognized personnel identity information to the linkage alarm module in real time; The remote control maintenance curtain module and the linkage alarm module are connected through a communication link; the infrared counter-radiation device is connected to the linkage alarm module through a signal transmission line; the portable electronic screen prompt board and the remote control maintenance curtain module are remotely associated with the linkage alarm module to realize the remote publishing and switching of the display content, and can also feed back the signal to the linkage alarm module when abnormal information is detected, so as to achieve the interactive transmission and coordinated operation of information between the modules of the entire power operation intelligent safety management and control system.

2. The intelligent safety management and control system for electric power operations according to claim 1 is characterized in that: The face recognition electronic fence module includes a high-definition camera, an image acquisition card, a face recognition algorithm processor, and a data transmission module; The high-definition camera is used to collect analog image signals of facial images, the image acquisition card is used to convert the analog image signals obtained by the high-definition camera into digital image signals, the face recognition algorithm processor uses the CNN algorithm to extract and recognize the features of the face in the digital image signal, and the data transmission module is used to transmit the recognition results and related data to the linkage alarm module.

3. The intelligent safety management and control system for electric power operations according to claim 2 is characterized in that: The high-definition camera is connected to the image acquisition card through a data cable, the image acquisition card is connected to the face recognition algorithm processor through an internal bus, the face recognition algorithm processor is electrically connected to the data transmission module, and the data transmission module is connected to the linkage alarm module through a network cable or a wireless network.

4. The intelligent safety management and control system for electric power operations according to claim 2 is characterized in that: The linkage alarm system module includes a data receiving unit, an intelligent analysis chip and a variety of communication interfaces; the data receiving unit is connected to the data transmission module of the face recognition device through a network cable to receive personnel identification data; the data receiving unit is connected to the infrared radiation device through a signal transmission line to receive infrared barrier crossing signals; the intelligent analysis chip is connected to the data receiving unit and a variety of communication interfaces respectively, and when an abnormality is determined, SMS notifications and email push notifications are sent to relevant personnel through these interfaces and sound and light alarms are triggered; The linkage alarm system module is connected to the monitoring center server through the network.

5. The intelligent safety management and control system for electric power operations according to claim 1 is characterized in that: The remote control maintenance curtain module includes a remote control reel mechanism, a wireless signal transceiver, a motor drive controller and a curtain body; the remote control reel mechanism is used to control the unfolding and folding of the curtain body; the wireless signal transceiver is used to receive control signals from a remote control or a mobile application; the motor drive controller is used to drive the motor in the remote control reel mechanism according to the signal received by the wireless signal transceiver, thereby realizing the control of the movement of the curtain body.

6. The intelligent safety management and control system for electric power operations according to claim 5 is characterized in that: The remote control maintenance curtain module also includes a remote control device. The wireless signal transceiver establishes a connection with the remote control device through the wireless communication frequency band, and transmits the signal to the motor drive controller after receiving the control command; the motor drive controller is connected to the remote control reel mechanism through an electrical control line to control the unfolding and folding action of the curtain body; the wireless signal transceiver is connected to the linkage alarm module through the network, and when a fault or abnormality occurs during the unfolding or folding of the curtain body, an alarm message is sent to the linkage alarm module.

7. The intelligent safety management and control system for electric power operations according to claim 1 is characterized in that: The infrared radiation module comprises an infrared transmitting end and an infrared receiving end; the infrared transmitting end and the infrared receiving end are installed opposite to each other to form an infrared radiation barrier.

8. The intelligent safety management and control system for electric power operations according to claim 7 is characterized in that: The infrared transmitting end includes an infrared transmitting tube, a transmitting driving circuit and a transmitting power control module, and the infrared receiving end includes an infrared receiving tube, a signal amplifying circuit, a signal processing chip and an infrared communication interface connected to the linkage alarm module; The transmission power control module is connected to the signal processing chip, and is used to adjust the transmission power and frequency according to the feedback of the signal processing chip; the signal processing chip is connected to the infrared communication interface, and the infrared communication interface is connected to the linkage alarm module through the signal transmission line, so as to transmit the alarm signal of the object crossing the infrared barrier to the linkage alarm module in time.

9. The intelligent safety management and control system for electric power operations according to claim 1, characterized in that: The portable electronic screen prompt sign includes an electronic display screen, a display control chip, a wireless communication module and a magnetic base; the electronic display screen is used to display various prompt information, the display control chip is used to control the generation and update of the display content, the wireless communication module is used to receive information from the management module or other control terminals and transmit it to the display control chip, and the magnetic base is used to fix the prompt sign on the screen cabinet.

10. The intelligent safety management and control system for electric power operations according to claim 9, characterized in that: The display control chip is connected to the electronic display screen through a data cable; the wireless communication module is connected to the display control chip to receive external information; the display control chip is used to drive the electronic display screen to update the display content; the wireless communication module of the portable electronic screen sign is connected to the linkage alarm module, and is used to send an alarm signal to the linkage alarm module when an abnormality is detected.

11. A safety management and control method, using the intelligent safety management and control system for electric power operations according to any one of claims 1 to 10, characterized in that: include: Before the power maintenance work, a movable AI camera, a movable independent infrared beam-receiving device, a remote control maintenance curtain module and a portable electronic screen prompt sign are set up at the work site; the operator controls the remote control maintenance curtain module to unfold by holding a remote controller or using a mobile application, or in areas where the remote control maintenance curtain module is not installed, magnetically attaches a portable electronic screen prompt sign with dynamic display text set in advance to the on-site screen cabinet; During the power maintenance operation, when an abnormal situation occurs, the linkage alarm system will notify relevant personnel through sound and light alarms, SMS notifications and / or platform push notifications, and provide the abnormal location, and notify relevant personnel to handle the abnormality; After the power maintenance work, remove the portable electronic screen sign and remote control maintenance curtain module, and retract the movable AI camera and movable independent infrared radiation device to complete the power maintenance work.

12. The security management and control method according to claim 11, characterized in that: The remote control maintenance curtain module is controlled by an intelligent frequency adjustment algorithm to achieve optimization of adaptive frequency modulation.

13. The security management and control method according to claim 12, characterized in that: Intelligent frequency adjustment algorithm includes: Step 1, set the weight coefficient, quality threshold, packet loss error threshold and transmission rate range, and initialize the modulation mode and transmission rate; Step 2: measure the signal strength S in real time, count the number of interference sources N and their types T, and calculate the packet loss rate L and bit error rate E; Step 3, based on the data measured in step 2, calculating the channel quality assessment value Q value; Step 4, adjusting the modulation mode and the transmission rate based on the values ​​calculated in steps 2 and 3 and the threshold set in step 1; Step 5: Record the adjustment results of step 4, save the communication parameters and optimal settings in different scenarios, and use them for early adjustment in similar scenarios in the future; Step 6: Repeat steps 2-5 to continuously optimize communication.

14. The security management and control method according to claim 13, characterized in that: In step 2, the packet loss rate L is calculated as: the ratio of the number of lost frames to the total number of frames; The bit error rate E is calculated as the ratio of the number of erroneous bits to the total number of bits.

15. The security management and control method according to claim 13, characterized in that: In step 3, the formula for calculating the channel quality assessment value Q is: Q=aS-bN-cT Wherein, a, b, c are weight coefficients respectively, Q is the channel quality assessment value, S is the signal strength, N is the number of interference sources, and T is the type of interference source.

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