A converter station temporary power and near-power operation safety limit alarm system and method

Abstract

The present invention discloses a converter station temporary power and near-power operation safety limit alarm system and method, which relates to the field of near-power operation alarm technology. The detection device detects the safe distance between the operating vehicle and the charged body in real time, substitutes the response factor and the health status into the intelligent analysis model for analysis, and judges whether it is necessary to dynamically adjust the safety distance threshold. When it is judged that dynamic adjustment is required, the alarm system compares the real-time acquired safety distance with the dynamically adjusted safety distance threshold, and generates a corresponding alarm strategy based on the comparison result. The method of dynamically adjusting the safety distance threshold not only avoids excessive alarms that increase the system burden, but also avoids insufficient alarms that lead to ineffective protection of safe operations. The alarm system can respond to alarms in combination with the actual construction environment conditions, and can dynamically adjust the detection range during the detection process, effectively ensuring the safe operation of the operating vehicle.

Description

Technical Field

[0001] The present invention relates to the technical field of near-power operation alarm technology, and in particular to a converter station near-power and near-power operation safety limit alarm system and method. Background Art

[0002] In recent years, with the vigorous development of power grids, the number of high-voltage transmission lines has increased, and the problem of large-scale machinery accidentally touching high-voltage transmission lines has occurred frequently in various places. In order to solve such problems, the existing technology mainly uses detection devices to perform safety detection;

[0003] The prior art has the following defects:

[0004] Existing detection devices mainly detect through ultrasonic detection and detect safe position areas through distance. However, there are many live equipment in the converter station, and this detection method can only monitor the range of 0-120 degrees in the forearm direction, and cannot achieve 360-degree horizontal rotation monitoring. There are monitoring blind spots. In addition, due to the difference between the converter station and the field lines, the cross-safety zone driving and temporary power operations of super-high vehicles are more dangerous. There is an even greater need to monitor the multi-directional lines and live equipment of super-high operating vehicles to avoid safety hazards. Summary of the invention

[0005] The purpose of the present invention is to provide a converter station temporary power and near-power operation safety limit alarm system and method, which can respond to alarms in combination with actual construction environment conditions, and can dynamically adjust the detection range during the detection process, effectively ensuring the safe operation of operating vehicles.

[0006] In order to achieve the above object, the present invention provides the following technical solution: a converter station power and near-power operation safety limit alarm method, the alarm method comprising the following steps:

[0007] When the operating vehicle is in the starting state, the alarm system monitors the multi-source data of the current environment in real time through multi-source sensors, generates response factors based on the multi-source data, and uses the response factors as input variables to generate corresponding fuzzy rules based on fuzzy logic;

[0008] When the fuzzy rule determines that the detection device needs to be controlled, the alarm system starts the detection device, and during the detection process, the detection range of the detection device is dynamically adjusted based on the PTZ, and the health status of the detection device is obtained in real time. The detection device detects the safe distance between the operating vehicle and the charged object in real time;

[0009] After substituting the response factor and health status into the intelligent analysis model for analysis, it is determined whether the safety distance threshold needs to be dynamically adjusted. When it is determined that dynamic adjustment is required, the alarm system compares the real-time safety distance with the dynamically adjusted safety distance threshold, and generates a corresponding alarm strategy based on the comparison result.

[0010] In a preferred embodiment, when the working vehicle is in the starting state, the alarm system monitors the multi-source data of the current environment in real time through the multi-source sensor, and generates a response factor based on the multi-source data, including the following steps:

[0011] The electromagnetic radiation amount in the environment is obtained, the wire harness frequency index in the environment is obtained through a camera, the electromagnetic radiation amount and the wire harness frequency index are normalized, the value range of the electromagnetic radiation amount and the wire harness frequency index are mapped to [0,1], the normalized value of the electromagnetic radiation amount and the normalized value of the wire harness frequency index are obtained, and the normalized value of the electromagnetic radiation amount and the normalized value of the wire harness frequency index are summed to obtain the response factor.

[0012] In a preferred embodiment, the response factor is used as an input variable, and corresponding fuzzy rules are generated according to fuzzy logic, including the following steps:

[0013] The response factor and the response threshold are used as input variables. The larger the response factor, the more likely the operating vehicle is to collide with a charged object. The judgment result is used as the output variable.

[0014] Input variables are input into the preset fuzzy logic, and the fuzzy logic outputs the corresponding output variables;

[0015] The fuzzy rules are defined as:

[0016] Rule 1: If the response factor is less than or equal to the response threshold, it is determined that there is no need to control the operation of the detection device;

[0017] Rule 2: If the response factor is greater than the response threshold, it is determined that the detection device needs to be controlled to operate.

[0018] In a preferred embodiment, obtaining the health status of the detection device in real time during the detection process includes the following steps:

[0019] Acquire the contact resistance noise, connector loss and total amplitude of the received signal of the detection device during the detection process;

[0020] The contact resistance noise, connector loss and total amplitude of the received signal are calculated to obtain the health factor, which is expressed as: , where is the health factor, is the contact resistance noise, is the connector loss, is the total amplitude of the received signal, , , are the proportionality coefficients of contact resistance noise, connector loss and the total amplitude of the received signal, respectively, and , , Both are greater than 0. The larger the health coefficient is, the worse the health status of the detection device is.

[0021] In a preferred embodiment, the detection device detects the safe distance between the working vehicle and the charged body in real time, substitutes the response factor and the health status into the intelligent analysis model for analysis, and determines whether it is necessary to dynamically adjust the safe distance threshold, including the following steps:

[0022] Substitute the response factor and health status into the intelligent analysis model for analysis. The model expression is: , where To adjust the amplitude, is the health factor, is the response factor;

[0023] After obtaining the adjustment amplitude, the larger the adjustment amplitude is, the more it is necessary to dynamically adjust and reduce the safety distance threshold. The obtained adjustment amplitude is compared with the preset adjustment threshold. The adjustment threshold is used to determine whether the safety distance threshold needs to be dynamically adjusted.

[0024] If the adjustment amplitude is less than the adjustment threshold, it is determined that there is no need to dynamically adjust the safety distance threshold. If the adjustment amplitude is greater than or equal to the adjustment threshold, it is determined that there is a need to dynamically adjust the safety distance threshold.

[0025] In a preferred embodiment, when it is determined that dynamic adjustment is required, the alarm system compares the safety distance obtained in real time with the safety distance threshold after dynamic adjustment, and generates a corresponding alarm strategy based on the comparison result, including the following steps:

[0026] When it is determined that the safety distance threshold needs to be dynamically adjusted, the safety distance threshold is adjusted based on the adjustment algorithm. The algorithm expression is: , where is the dynamically adjusted safety distance threshold, is the safety distance threshold before dynamic adjustment, To adjust the amplitude;

[0027] If the safety distance is less than the dynamically adjusted safety distance threshold, no alarm strategy is generated. If the safety distance is greater than or equal to the dynamically adjusted safety distance threshold, an alarm strategy is generated.

[0028] In a preferred embodiment, the calculation logic of the electromagnetic radiation amount is: the electric field strength and magnetic field strength in the environment are monitored in real time by setting an electric field strength sensor and a magnetic field strength sensor, and the electromagnetic radiation amount is obtained by multiplying the electric field strength by the magnetic field strength;

[0029] The logic for obtaining the wire bundle frequency index is as follows: through the camera set on the working vehicle, the image in the direction of travel of the working vehicle is obtained in real time, the image frame in the current image is intercepted once at a certain interval, and after obtaining several image frames, the wire bundle density of each image frame is obtained, and the wire bundle occurrence frequency is obtained based on several image frames, wherein the wire bundle density is obtained by dividing the number of wire bundles in the image frame by the area of ​​the image frame, the wire bundle occurrence frequency is obtained by dividing the number of image frames with all existing wire bundles by the total number of image frames, and the wire bundle occurrence frequency index is obtained by adding the wire bundle density to the wire bundle occurrence frequency.

[0030] A converter station temporary power and near-power operation safety limit alarm system, comprising a response module, a safety detection module, and an alarm module;

[0031] Response module: When the working vehicle is in the starting state, the multi-source data of the current environment is monitored in real time through multi-source sensors. After the response factor is generated based on the multi-source data, the response factor is used as an input variable to generate the corresponding fuzzy rules according to fuzzy logic;

[0032] Safety detection module: When the fuzzy rule determines that the detection device needs to be controlled, the detection device is started, and the detection range of the detection device is dynamically adjusted based on the PTZ during the detection process, and the health status of the detection device is obtained in real time. The detection device detects the safe distance between the operating vehicle and the charged object in real time;

[0033] Alarm module: After substituting the response factor and health status into the intelligent analysis model for analysis, it is determined whether the safety distance threshold needs to be dynamically adjusted. If dynamic adjustment is required, the real-time safety distance is compared with the dynamically adjusted safety distance threshold, and a corresponding alarm strategy is generated based on the comparison result.

[0034] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0035] 1. After generating a response factor based on multi-source data, the present invention uses the response factor as an input variable and generates corresponding fuzzy rules based on fuzzy logic. When the fuzzy rule determines that the detection device needs to be controlled to operate, the alarm system starts the detection device, and dynamically adjusts the detection range of the detection device based on the pan-tilt system during the detection process, and obtains the health status of the detection device in real time. The detection device detects the safe distance between the operating vehicle and the charged body in real time. The alarm system can respond to the alarm in combination with the actual construction environment conditions, and can dynamically adjust the detection range during the detection process, effectively ensuring the safe operation of the operating vehicle.

[0036] 2. The present invention substitutes the response factor and the health status into the intelligent analysis model for analysis, and determines whether it is necessary to dynamically adjust the safety distance threshold. When it is determined that dynamic adjustment is required, the alarm system compares the safety distance acquired in real time with the dynamically adjusted safety distance threshold, and generates a corresponding alarm strategy based on the comparison result. The dynamic adjustment of the safety distance threshold not only avoids excessive alarms that increase the system burden, but also avoids insufficient alarms that lead to ineffective protection of safe operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0038] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Example 1: Please refer to Figure 1 As shown, the present embodiment provides a method for warning the safety limit of converter station power supply and near-power supply operation, and the warning method includes the following steps:

[0041] When the operating vehicle is in the starting state, the alarm system monitors the multi-source data of the current environment in real time through multi-source sensors. After generating a response factor based on the multi-source data, the response factor is used as an input variable to generate corresponding fuzzy rules based on fuzzy logic. When the fuzzy rule determines that the detection device needs to be controlled to operate, the alarm system starts the detection device, and during the detection process, the detection range of the detection device is dynamically adjusted based on the pan-tilt system, and the health status of the detection device is obtained in real time. The detection device detects the safe distance between the operating vehicle and the charged body in real time, and after substituting the response factor and the health status into the intelligent analysis model for analysis, it is determined whether the safety distance threshold needs to be dynamically adjusted. When it is determined that dynamic adjustment is required, the alarm system compares the safety distance obtained in real time with the dynamically adjusted safety distance threshold, and generates a corresponding alarm strategy based on the comparison result.

[0042] After generating a response factor based on multi-source data, this application uses the response factor as an input variable and generates corresponding fuzzy rules based on fuzzy logic. When the fuzzy rule determines that the detection device needs to be controlled, the alarm system starts the detection device and dynamically adjusts the detection range of the detection device based on the pan-tilt system during the detection process, and obtains the health status of the detection device in real time. The detection device detects the safe distance between the operating vehicle and the charged body in real time. The alarm system can respond to the alarm in combination with the actual construction environment conditions, and can dynamically adjust the detection range during the detection process, effectively ensuring the safe operation of the operating vehicle.

[0043] This application determines whether it is necessary to dynamically adjust the safety distance threshold after substituting the response factor and the health status into the intelligent analysis model for analysis. When it is determined that dynamic adjustment is required, the alarm system compares the real-time acquired safety distance with the dynamically adjusted safety distance threshold, and generates a corresponding alarm strategy based on the comparison result. The dynamic adjustment of the safety distance threshold not only avoids excessive alarms that increase the system burden, but also avoids insufficient alarms that lead to ineffective protection of safe operations.

[0044] Embodiment 2: When the operating vehicle is in the starting state, the alarm system monitors the multi-source data of the current environment in real time through the multi-source sensor and generates a response factor based on the multi-source data, including the following steps:

[0045] The electromagnetic radiation amount in the environment is obtained, and the wire harness frequency index in the environment is obtained through a camera. The electromagnetic radiation amount and the wire harness frequency index are normalized so that the value range of the electromagnetic radiation amount and the wire harness frequency index is mapped to [0,1], and the normalized value of the electromagnetic radiation amount and the normalized value of the wire harness frequency index are obtained. The normalized value of the electromagnetic radiation amount and the normalized value of the wire harness frequency index are summed to obtain the response factor;

[0046] The calculation logic of electromagnetic radiation is: the electric field strength sensor and magnetic field strength sensor are used to monitor the electric field strength and magnetic field strength in the environment in real time, and the electromagnetic radiation is obtained by multiplying the electric field strength by the magnetic field strength. The larger the electromagnetic radiation, the more likely the operating vehicle is to be close to a high-voltage live line. Specifically:

[0047] The higher the voltage of the high-voltage live line, the greater the electric field strength around it will be. When the high-voltage line is in operation, it will generate a strong electric field. As the vehicle approaches the high-voltage line, the electric field strength will increase significantly, which also means an increase in the amount of electromagnetic radiation.

[0048] When the current in a high-voltage line is large, a strong magnetic field is formed. The strength of the magnetic field is inversely proportional to the distance, and the magnetic field strength rises sharply when approaching a live line. By monitoring the changes in the magnetic field strength in the environment, it can be determined whether the vehicle is close to a live line.

[0049] In high-voltage power systems, electric and magnetic fields are closely related and influence each other. As the operating vehicle approaches the high-voltage live line, the electric and magnetic field strengths will enhance each other, resulting in an increase in electromagnetic radiation. Therefore, by monitoring the changes in electromagnetic radiation, it is possible to effectively determine whether the vehicle has entered the high-voltage electric field range.

[0050] Strong electromagnetic radiation means the presence of high-voltage lines and electrical hazards. By monitoring the amount of electromagnetic radiation and activating the detection device when it reaches the set threshold, operators can be warned in time to keep a safe distance and avoid accidental collisions.

[0051] The logic for obtaining the wire harness frequency index is as follows: through the camera set on the work vehicle, the image in the direction of travel of the work vehicle is obtained in real time, and the image frame in the current image is intercepted at regular intervals. After obtaining several image frames, the wire harness density of each image frame is obtained, and the wire harness occurrence frequency is obtained based on several image frames. Among them, the wire harness density is obtained by dividing the number of wire harnesses in the image frame by the image frame area, and the wire harness occurrence frequency is obtained by dividing the number of image frames with existing wire harnesses by the total number of image frames. The wire harness occurrence frequency plus the wire harness density is obtained to obtain the wire harness frequency index. The larger the wire harness frequency index is, the greater the probability of the wire harness appearing in the direction of travel of the work vehicle is, and the more wire harnesses there are, the more it is necessary to start the detection device.

[0052] Taking the response factor as the input variable, the corresponding fuzzy rules are generated according to fuzzy logic, including the following steps:

[0053] The response factor and the response threshold are used as input variables. The larger the response factor, the more likely the operating vehicle is to collide with a charged object. The judgment result is used as the output variable.

[0054] Input variables are input into the preset fuzzy logic, and the fuzzy logic outputs the corresponding output variables;

[0055] The fuzzy rules are defined as:

[0056] Rule 1: If the response factor is less than or equal to the response threshold, it is determined that there is no need to control the operation of the detection device;

[0057] Rule 2: If the response factor is greater than the response threshold, it is determined that the detection device needs to be controlled to operate.

[0058] When the fuzzy rule determines that the detection device needs to be controlled, the alarm system starts the detection device and dynamically adjusts the detection range of the detection device based on the pan / tilt during the detection process, including the following steps:

[0059] The detection device includes built-in 77GHz millimeter wave radar, infrared, laser and ultrasonic sensors. Among them, millimeter wave radar is used for distance detection due to its good anti-interference and stability. The dual-beam fan wave of the millimeter wave radar is used for detection, and the relative distance between the working vehicle arm and the high-voltage wire is detected by transmitting dual beams. The receiving end receives the echo signal in real time, feeds back the distance information and performs signal processing to analyze whether the relative distance is within the safe range.

[0060] The built-in electric field sensor chip extracts 50Hz power frequency signals and removes other interference signals through digital filtering. By analyzing the voltage signal strength of 10kV and above power frequency 50Hz-60Hz, it determines whether it is close to the high-voltage wire area. The detection angle and range are adjusted according to the signal strength, and real-time warning is issued.

[0061] For voltages above 220V and with a power frequency of 50Hz-60Hz, the system continuously issues warnings and adjusts the warning level according to different voltage levels to ensure that operators maintain a safe distance. After obtaining the relative distance information of the feedback signal, the PTZ dynamically adjusts the angle and direction of the detection device to ensure that high-risk areas are always within the detection range. Through the real-time distance detection data and echo feedback of the millimeter-wave radar, the PTZ can accurately align the position of the high-voltage wire, adapt to the movement of the forearm of the operating vehicle, and maintain stable monitoring.

[0062] The system stores all detection data, alarm information and equipment operating status records for future analysis and optimization of the system's monitoring capabilities. After storage, the data is transmitted to the central control system for further safety assessment and maintenance decisions.

[0063] Acquiring the health status of the detection device in real time during the detection process includes the following steps:

[0064] Acquire the contact resistance noise, connector loss and total amplitude of the received signal of the detection device during the detection process;

[0065] Among them, the greater the contact resistance noise and connector loss, the worse the health of the detection device, and the greater the total amplitude of the received signal, the better the health of the detection device;

[0066] The contact resistance noise, connector loss and total amplitude of the received signal are calculated to obtain the health factor, which is expressed as: , where is the health factor, is the contact resistance noise, is the connector loss, is the total amplitude of the received signal, , , are the proportionality coefficients of contact resistance noise, connector loss and the total amplitude of the received signal, respectively, and , , Both are greater than 0. The larger the health coefficient is, the worse the health status of the detection device is.

[0067] The calculation expression of contact resistance noise is: , where is the Boltzmann constant, is the absolute temperature of the joint, is the noise bandwidth of the connector, is the contact resistance of the connector. The larger the contact resistance noise is, the worse the contact of the connector inside the detection is, which leads to a decrease in the health of the detection device. Therefore, it is necessary to reduce the safety distance threshold to make the alarm come earlier. Specifically:

[0068] Increased contact resistance noise: When the contact resistance noise of the detection device increases, it usually means that there is a poor contact or aging problem with the internal connector. In this case, the stability and reliability of the signal decrease, which may lead to false alarms or missed alarms.

[0069] Necessity of early warning: In order to avoid potential safety accidents, reducing the safety distance threshold can make the detection system more sensitive to potential dangers (such as approaching high-voltage live objects) and thus issue warnings in time.

[0070] Increased detection error: Poor contact leads to reduced signal quality, which may cause a large error between the actual detection distance and the true safety distance. Reducing the safety distance threshold can effectively reduce the risk caused by errors.

[0071] Ensure safety margin: Narrowing the safety distance threshold means that even in the presence of contact resistance noise, the safety distance between the vehicle and the charged body can be ensured to be greater than the set safety threshold, thus providing greater safety assurance.

[0072] Dealing with potential failures: When the health status of the detection device decreases, the system may fail or respond with delays. By narrowing the safety distance threshold, more redundancy can be left for potential failures to prevent accidents.

[0073] Improve reliability: When the detection device is in poor health, early warning can prevent accidental approach to live objects, thereby improving the reliability and safety of the entire system.

[0074] Accident consequence control: If the safety distance threshold is not reduced, it may cause accidents (such as line tripping or personal injury) due to poor contact when the vehicle approaches the live object. Reducing the threshold can reduce the probability of accidents and mitigate the consequences of potential accidents.

[0075] Dynamic environmental factors: Environmental conditions (such as weather, temperature, etc.) may affect the performance of the detection equipment, resulting in changes in contact resistance noise. In this case, reducing the safety distance threshold can dynamically adjust the response of the detection system to adapt to different environmental factors.

[0076] Optimization of warning strategies: By reducing the safety distance threshold, the warning strategy can be optimized more reasonably to ensure timely response to potential dangers in any situation and improve the intelligence level of the system.

[0077] The calculation expression of connector loss is: , where is the connector impedance, The line impedance, the greater the connector loss, the worse the health of the detection device, the need to reduce the safety distance threshold to make the alarm earlier, specifically:

[0078] Signal attenuation: The greater the connector loss, the more severe the signal attenuation during transmission. This will cause the received signal power to decrease, reducing the detection device's ability to identify charged objects.

[0079] Signal distortion: Connector loss may also cause signal distortion, which in turn affects the accuracy of the measurement results, making it impossible for the detection device to accurately determine the actual safe distance from the charged object.

[0080] Degraded health: Increased connector loss usually means that the health of the detection device has degraded, which may be caused by factors such as aging, corrosion, or mechanical wear. In this state, the reliability and accuracy of the system are reduced, so a more sensitive alarm strategy is required.

[0081] Safety assurance: Reducing the safety distance threshold can ensure that the system can still issue an early warning even when the signal quality decreases, thereby avoiding the danger of the operating vehicle approaching the live object.

[0082] Improve the robustness of the alarm threshold: Increased connector loss will cause the signal-to-noise ratio (SNR) to decrease. Reducing the safety distance threshold can compensate for signal loss and ensure that the detection system can still reliably issue an alarm when the signal quality decreases.

[0083] Preventing false positives: If the safety distance threshold is set too wide, the detection system may fail to detect danger in time in the event of signal loss. Narrowing the threshold can reduce this risk.

[0084] Multipath interference impact: Connector loss may be related to multipath propagation and interference. In this case, the system may be affected by the interference signal. By reducing the safety distance threshold, the system's ability to resist interference can be improved to ensure timely response.

[0085] Reduce the risk of external interference: In the case of poor signal quality, reducing the safety distance threshold can prevent false alarms or missed alarms caused by interference caused by external factors and enhance the robustness of the system.

[0086] Fault warning: When the health status of the detection device is poor, reducing the safety distance threshold can trigger an alarm in advance, prompting operators to check and maintain the equipment in time, thereby avoiding potential safety accidents.

[0087] Dynamically adjust the threshold: As the connector loss changes, dynamically adjusting the safety distance threshold can enable the system to maintain a high level of safety under uncertain conditions.

[0088] Increased awareness: By reducing the safety distance threshold and providing early warning, operators can pay more attention to potential risks, prompting them to be more cautious when operating, thereby improving the overall safety culture.

[0089] Total amplitude of received signal The calculation expression is:

[0090] , where For the detection device The signal amplitude of each path, For the detection device The phase of the path, is the number of paths. The smaller the total amplitude of the received signal, the worse the health of the detection device. It is necessary to reduce the safety distance threshold to make the alarm come earlier. Specifically:

[0091] Signal attenuation: A small total amplitude of the received signal usually means that the signal has been greatly attenuated during transmission. This may be caused by factors such as aging of the equipment, poor connection, environmental interference, etc. Signal attenuation will affect the detection device's ability to identify and judge charged objects.

[0092] Reduced accuracy: As the amplitude of the received signal decreases, the detection device may not be able to accurately measure the actual safe distance between the operating vehicle and the charged object, thereby reducing the accuracy of the warning.

[0093] Degradation of health: A decrease in the overall signal amplitude is an indication of a deteriorating device health, where the device's performance may gradually degrade over time. To prevent unexpected incidents caused by signal degradation, narrowing the safety distance threshold can help to issue an early warning.

[0094] Enhanced responsiveness: Narrowing the safety distance threshold ensures that even when signal quality degrades, the system can still identify potential hazards in a timely manner and prevent operating vehicles from getting too close to live objects.

[0095] Relationship between signal strength and distance: A small total amplitude of the received signal may cause the detection device to judge the distance inaccurately. Reducing the safe distance threshold can reduce the tolerance for misjudgment and ensure that the safe distance can be maintained even when the signal amplitude is small.

[0096] Improve alertness: In the case of insufficient signal strength, reducing the threshold can improve alertness and prevent the risk of not issuing an alarm in time due to signal attenuation.

[0097] Multiple interference factors: The received signal amplitude is small and may be affected by multiple interference factors (such as noise, environmental changes, etc.). Reducing the safety distance threshold can improve the system's ability to resist these interferences and ensure timely response to potential dangers even under harsh conditions.

[0098] Optimize signal processing: When the signal amplitude is small, reducing the threshold can help the system optimize the signal processing process and reduce the impact of interference signals on the detection results.

[0099] Fault early warning mechanism: A reduction in the total amplitude of the received signal may be a sign of an impending equipment failure. By reducing the safety distance threshold, a timely fault early warning mechanism can be established, prompting operators to regularly inspect and maintain equipment.

[0100] Dynamic adjustment and maintenance: Timely warnings can help operators take necessary measures, such as recalibrating equipment or replacing parts, to avoid safety accidents caused by equipment failure.

[0101] Safety culture construction: By reducing the safety distance threshold and issuing warnings in a timely manner, operators can pay more attention to the health status of equipment and enhance their awareness of potential risks, thereby improving the safety culture of the entire working environment.

[0102] The detection device detects the safe distance between the working vehicle and the charged body in real time, substitutes the response factor and health status into the intelligent analysis model for analysis, and determines whether the safe distance threshold needs to be dynamically adjusted, including the following steps:

[0103] Substitute the response factor and health status into the intelligent analysis model for analysis. The model expression is:

[0104] , where To adjust the amplitude, is the health factor, is the response factor;

[0105] After obtaining the adjustment amplitude, the larger the adjustment amplitude, the more it indicates that the safety distance threshold needs to be dynamically adjusted and reduced. The obtained adjustment amplitude is compared with the preset adjustment threshold. The adjustment threshold is used to determine whether the safety distance threshold needs to be dynamically adjusted. If the adjustment amplitude is less than the adjustment threshold, it is determined that the safety distance threshold does not need to be dynamically adjusted. If the adjustment amplitude is greater than or equal to the adjustment threshold, it is determined that the safety distance threshold needs to be dynamically adjusted.

[0106] When it is determined that dynamic adjustment is required, the alarm system compares the safety distance obtained in real time with the safety distance threshold after dynamic adjustment, and generates a corresponding alarm strategy based on the comparison result, including the following steps:

[0107] When it is determined that the safety distance threshold needs to be dynamically adjusted, the safety distance threshold is adjusted based on the adjustment algorithm. The algorithm expression is:

[0108] , where is the dynamically adjusted safety distance threshold, is the safety distance threshold before dynamic adjustment, To adjust the amplitude;

[0109] If the safety distance is less than the dynamically adjusted safety distance threshold, no alarm strategy is generated. If the safety distance is greater than or equal to the dynamically adjusted safety distance threshold, an alarm strategy is generated. The alarm strategy is: prompting the operating vehicle driver to respond in time and sending an alarm signal to the operating vehicle management platform.

[0110] Embodiment 3: A converter station power-on and power-off operation safety limit alarm system described in this embodiment includes a response module, a safety detection module, and an alarm module;

[0111] Response module: When the operating vehicle is in the starting state, the multi-source data of the current environment is monitored in real time through multi-source sensors. After the response factor is generated based on the multi-source data, the response factor is used as an input variable to generate the corresponding fuzzy rules according to fuzzy logic. The fuzzy rules are sent to the safety detection module, and the response factor is sent to the alarm module;

[0112] Safety detection module: When the fuzzy rule determines that the detection device needs to be controlled, the detection device is started, and the detection range of the detection device is dynamically adjusted based on the PTZ during the detection process, and the health status of the detection device is obtained in real time. The detection device detects the safe distance between the operating vehicle and the charged body in real time, and the safe distance and health status are sent to the alarm module;

[0113] Alarm module: After substituting the response factor and health status into the intelligent analysis model for analysis, it is determined whether the safety distance threshold needs to be dynamically adjusted. If dynamic adjustment is required, the real-time safety distance is compared with the dynamically adjusted safety distance threshold, and a corresponding alarm strategy is generated based on the comparison result.

[0114] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0115] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0116] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0117] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for safety limit alarm for power supply and near-power supply operation in a converter station, characterized in that: The alarm method comprises the following steps: When the operating vehicle is in the starting state, the alarm system monitors the multi-source data of the current environment in real time through multi-source sensors, generates response factors based on the multi-source data, and uses the response factors as input variables to generate corresponding fuzzy rules based on fuzzy logic; When the fuzzy rule determines that the detection device needs to be controlled, the alarm system starts the detection device, and during the detection process, the detection range of the detection device is dynamically adjusted based on the PTZ, and the health status of the detection device is obtained in real time. The detection device detects the safe distance between the operating vehicle and the charged object in real time; After substituting the response factor and health status into the intelligent analysis model for analysis, it is determined whether the safety distance threshold needs to be dynamically adjusted. If it is determined that dynamic adjustment is required, the alarm system compares the real-time acquired safety distance with the dynamically adjusted safety distance threshold, and generates a corresponding alarm strategy based on the comparison result; When the operating vehicle is in the starting state, the alarm system monitors the multi-source data of the current environment in real time through the multi-source sensors and generates a response factor based on the multi-source data, including the following steps: The electromagnetic radiation amount in the environment is obtained, and the wire harness frequency index in the environment is obtained through a camera. The electromagnetic radiation amount and the wire harness frequency index are normalized so that the value ranges of the electromagnetic radiation amount and the wire harness frequency index are mapped to [0,1], and the normalized value of the electromagnetic radiation amount and the normalized value of the wire harness frequency index are obtained. The normalized value of the electromagnetic radiation amount and the normalized value of the wire harness frequency index are summed to obtain a response factor. Taking the response factor as the input variable, the corresponding fuzzy rules are generated according to fuzzy logic, including the following steps: The response factor and the response threshold are used as input variables. The larger the response factor, the more likely the operating vehicle is to collide with a charged object. The judgment result is used as the output variable. Input variables are input into the preset fuzzy logic, and the fuzzy logic outputs the corresponding output variables; The fuzzy rules are defined as: Rule 1: If the response factor is less than or equal to the response threshold, it is determined that there is no need to control the operation of the detection device; Rule 2: If the response factor is greater than the response threshold, it is determined that the detection device needs to be controlled to operate; Acquiring the health status of the detection device in real time during the detection process includes the following steps: Acquire the contact resistance noise, connector loss and total amplitude of the received signal of the detection device during the detection process; The contact resistance noise, connector loss and total amplitude of the received signal are calculated to obtain the health factor, which is expressed as: , where is the health factor, is the contact resistance noise, is the connector loss, is the total amplitude of the received signal, , , are the proportionality coefficients of contact resistance noise, connector loss and the total amplitude of the received signal, respectively, and , , All are greater than 0. The larger the health coefficient is, the worse the health status of the detection device is. The detection device detects the safe distance between the working vehicle and the charged body in real time, substitutes the response factor and health status into the intelligent analysis model for analysis, and determines whether the safe distance threshold needs to be dynamically adjusted, including the following steps: Substitute the response factor and health status into the intelligent analysis model for analysis. The model expression is: , where To adjust the amplitude, is the health factor, is the response factor; After obtaining the adjustment amplitude, the larger the adjustment amplitude is, the more it is necessary to dynamically adjust and reduce the safety distance threshold. The obtained adjustment amplitude is compared with the preset adjustment threshold. The adjustment threshold is used to determine whether the safety distance threshold needs to be dynamically adjusted. If the adjustment amplitude is less than the adjustment threshold, it is determined that there is no need to dynamically adjust the safety distance threshold. If the adjustment amplitude is greater than or equal to the adjustment threshold, it is determined that there is a need to dynamically adjust the safety distance threshold.

2. A converter station power and near-power operation safety limit alarm method according to claim 1, characterized in that: When it is determined that dynamic adjustment is required, the alarm system compares the safety distance obtained in real time with the safety distance threshold after dynamic adjustment, and generates a corresponding alarm strategy based on the comparison result, including the following steps: When it is determined that the safety distance threshold needs to be dynamically adjusted, the safety distance threshold is adjusted based on the adjustment algorithm. The algorithm expression is: , where is the dynamically adjusted safety distance threshold, is the safety distance threshold before dynamic adjustment, To adjust the amplitude; If the safety distance is less than the dynamically adjusted safety distance threshold, an alarm strategy is generated; if the safety distance is greater than or equal to the dynamically adjusted safety distance threshold, no alarm strategy is generated.

3. A converter station power and near-power operation safety limit alarm method according to claim 2, characterized in that: The calculation logic of the electromagnetic radiation amount is: the electric field strength and magnetic field strength in the environment are monitored in real time by the set electric field strength sensor and magnetic field strength sensor, and the electromagnetic radiation amount is obtained by multiplying the electric field strength by the magnetic field strength; The logic for obtaining the wire bundle frequency index is as follows: through the camera set on the working vehicle, the image in the direction of travel of the working vehicle is obtained in real time, the image frame in the current image is intercepted once at a certain interval, and after obtaining several image frames, the wire bundle density of each image frame is obtained, and the wire bundle occurrence frequency is obtained based on several image frames, wherein the wire bundle density is obtained by dividing the number of wire bundles in the image frame by the area of ​​the image frame, the wire bundle occurrence frequency is obtained by dividing the number of image frames with all existing wire bundles by the total number of image frames, and the wire bundle occurrence frequency index is obtained by adding the wire bundle density to the wire bundle occurrence frequency.

4. A converter station power and near-power operation safety limit alarm system, used to implement the alarm method according to any one of claims 1 to 3, characterized in that: Including response module, safety detection module and alarm module; Response module: When the working vehicle is in the starting state, the multi-source data of the current environment is monitored in real time through multi-source sensors. After the response factor is generated based on the multi-source data, the response factor is used as an input variable to generate the corresponding fuzzy rules according to fuzzy logic; Safety detection module: When the fuzzy rule determines that the detection device needs to be controlled, the detection device is started, and the detection range of the detection device is dynamically adjusted based on the PTZ during the detection process, and the health status of the detection device is obtained in real time. The detection device detects the safe distance between the operating vehicle and the charged object in real time; Alarm module: After substituting the response factor and health status into the intelligent analysis model for analysis, it is determined whether the safety distance threshold needs to be dynamically adjusted. If dynamic adjustment is required, the real-time safety distance is compared with the dynamically adjusted safety distance threshold, and a corresponding alarm strategy is generated based on the comparison result.

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