Fault alarm system of power supply system

Abstract

The invention discloses a fault alarm system for a power supply system, and the system comprises a driving power supply which is used for providing a power supply; the air circuit breaker is connected with the driving power supply and is used for protecting a circuit; the resonance elimination controller is used for detecting resonance and destroying resonance conditions in a mode of inputting a damping resistor; the arc extinction controller is used for detecting an arc grounding fault and injecting compensation current at a fault point, so that the grounding current is reduced to be close to zero, and arc grounding overvoltage is eliminated; the audible and visual alarm is used for giving an audible and visual alarm action when a fault occurs; and the monitoring identification module is used for identifying the alarm action of the audible and visual alarm to obtain an identification result, and sending an alarm signal based on the identification result. The alarm accuracy of the fault alarm system of the power supply system is improved, and the situation of fault omission caused by circuit interference is avoided.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power supply, and more specifically, relates to a fault alarm system of a power supply system. Background Art

[0002] In modern power supply systems, with the development of science and technology, enterprise user substations usually do not have on-duty personnel. 110KV substations have multiple 10KV feeder loops with different line lengths. There are two power supply methods: overhead lines and cables. Among them, the overhead line has a higher failure rate, and often has failures such as insulator or lightning arrester breakdown discharge and discharge in contact with trees.

[0003] In the related art, when a single-phase grounding or resonance fault occurs in a line in a 10KV power supply system, if it cannot be discovered in time, especially in a 10KV center point ungrounded power supply system, single-phase grounding of one phase will cause the neutral point to shift and the voltage of the other two phases to increase. If the fault cannot be discovered and handled in time or the faulty line cannot be cut off, the weak insulation locations such as the voltage transformer, insulator, lightning arrester, 10KV cable and cable terminal in the 10KV power supply system will be prone to breakdown damage. In addition, the existing fault warning device is connected to the fault controller in the same circuit. When a fault occurs, the warning device is prone to not working, resulting in the inability to perform alarm and other operations.

[0004] Therefore, how to improve the accuracy of the fault alarm system of the power supply system to avoid the omission of faults due to circuit interference is a key issue that technicians in this field are concerned about. Summary of the invention

[0005] The purpose of this application is to provide a fault alarm system for a power supply system, so as to improve the alarm accuracy of the fault alarm system of the power supply system and avoid the situation where faults are missed due to circuit interference.

[0006] In view of the above defects or improvement requirements of the prior art, the present invention provides a fault alarm system for a power supply system, comprising:

[0007] A driving power supply, used for providing power;

[0008] An air circuit breaker, connected to the driving power supply and used for protecting the circuit;

[0009] Detuning controller, used to detect the occurrence of resonance and destroy the resonance condition by inserting a damping resistor;

[0010] Arc extinguishing controller is used to detect arc grounding faults and inject compensation current at the fault point to reduce the grounding current to near zero and eliminate arc grounding overvoltage;

[0011] Sound and light alarm, used to send out sound and light alarm action when a fault occurs;

[0012] The monitoring and identifying module is used to identify the alarm action of the sound and light alarm, obtain the identification result, and send an alarm signal based on the identification result.

[0013] Optionally, the monitoring identification module is specifically used to identify the alarm action of the sound and light alarm through an artificial intelligence recognition model, obtain the recognition result, and send an alarm signal based on the recognition result.

[0014] Optionally, the confidence level of the artificial intelligence recognition model is set to be less than 30.

[0015] Optionally, the monitoring identification module is further used to determine whether the identification result is an emergency situation, and if so, send an alarm message to the corresponding mobile terminal device.

[0016] Optionally, the monitoring identification module is specifically used to perform emergency interval identification processing on the identification result, and send an alarm signal when the identification result is in a fault emergency processing interval.

[0017] Optionally, the monitoring identification module is also used to identify personnel within the video monitoring range, and when the action of a person handling a fault is identified, the sending of the alarm signal is suspended.

[0018] Optionally, the monitoring identification module is also used to perform hazard identification on images acquired by video surveillance, obtain hazard identification results, and send a warning signal based on the hazard identification results; wherein the hazard identification includes smoke identification, fire identification, flood identification, and object dumping identification.

[0019] A fault alarm system for a power supply system provided in the present application includes: a driving power supply for providing power; an air circuit breaker connected to the driving power supply for protecting the circuit; a detuning controller for detecting the occurrence of resonance and destroying the resonance condition by inserting a damping resistor; an arc extinguishing controller for detecting an arc grounding fault and injecting a compensation current at the fault point to reduce the grounding current to near zero and eliminate the arc grounding overvoltage; an audible and visual alarm for emitting an audible and visual alarm action when a fault occurs; and a monitoring and recognition module for recognizing the alarm action of the audible and visual alarm, obtaining a recognition result, and sending an alarm signal based on the recognition result.

[0020] It has the following beneficial effects:

[0021] By using the detuning controller and arc extinguishing controller in combination, the resonance and arc grounding faults in the system can be effectively detected and eliminated. The detuning controller monitors and adjusts the circuit characteristics in real time, destroys the resonance conditions, and fundamentally reduces the impact of resonance on the system. The arc extinguishing controller responds quickly to the arc grounding fault, and by injecting compensation current, the grounding current is reduced to near zero, eliminating the overvoltage. The coordinated work of the sound and light alarm and the monitoring and identification module ensures the timeliness and accuracy of the fault alarm, thereby significantly improving the sensitivity and response speed of fault detection. In addition, the sound and light alarm and the monitoring and identification module are not in the same circuit, which ensures the stability and safety of the early warning system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0023] Figure 1 A schematic diagram of the structure of a fault alarm system for a power supply system provided in an embodiment of the present application;

[0024] Figure 2 This is a control principle diagram of the sound and light alarm provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] The purpose of this application is to provide a fault alarm system for a power supply system, so as to improve the alarm accuracy of the fault alarm system of the power supply system and avoid the situation where faults are missed due to circuit interference.

[0026] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0027] The following describes a fault alarm system for a power supply system provided by the present application through an embodiment.

[0028] Please refer to Figure 1 , Figure 1 A schematic diagram of the structure of a fault alarm system for a power supply system provided in an embodiment of the present application.

[0029] In this embodiment, the system may include:

[0030] The driving power supply 10 is used to provide power, that is, to provide the power support required by the system, and is the energy source of the entire fault alarm system.

[0031] The air circuit breaker 20 is connected to the driving power supply 10 and is used to protect the circuit. The air circuit breaker 20 is connected to the driving power supply 10 and is mainly used to automatically cut off the circuit when an abnormal situation such as overload or short circuit occurs in the circuit, thereby protecting the system and equipment from damage.

[0032] The detuning controller 30 is used to detect the occurrence of resonance and destroy the resonance condition by inserting a damping resistor or the like. Specifically, the resonance phenomenon in the power supply system is detected and the resonance condition is destroyed by controlling the damping resistor or the like. Resonance usually causes fluctuations in the system voltage or current, affecting the stability and safety of the system. The detuning controller 30 reduces the impact of resonance by introducing appropriate damping to ensure the normal operation of the system.

[0033] The arc extinguishing controller 40 is used to detect an arc grounding fault and inject a compensating current at the fault point to reduce the grounding current to near zero, thereby eliminating the arc grounding overvoltage. Specifically, when an arc grounding fault occurs in the system, a compensating current is injected at the fault point after the fault is detected, so that the grounding current is reduced to near zero, thereby reducing the arc grounding overvoltage. An arc grounding fault is a high voltage phenomenon caused by incomplete grounding. The arc extinguishing controller 40 can effectively eliminate this overvoltage and protect the circuit safety.

[0034] The sound and light alarm 50 is used to send out a sound and light alarm action when a fault occurs. Specifically, when a fault occurs, it sends out a sound and light alarm signal to remind the maintenance personnel or system users of the existence of the fault. This alarm usually includes a speaker and a flashing light, which can attract attention in different environments.

[0035] The monitoring and identification module 60 is used to identify the alarm action of the sound and light alarm 50, obtain the identification result, and send an alarm signal based on the identification result. Specifically, it is responsible for identifying the alarm action of the sound and light alarm 50, obtaining the identification result, and transmitting the result to the system. Based on the identification result, the module can send further alarm signals or start other fault handling procedures.

[0036] Furthermore, the driving power supply 10 provides necessary electrical energy through a stable power supply to power the entire fault alarm system and its components.

[0037] The air circuit breaker 20 is installed in the power supply circuit and can automatically disconnect the circuit when the circuit is overloaded or short-circuited, thereby effectively protecting the system components. Its control mechanism usually relies on the cooperation of current sensors and relays.

[0038] The detuning controller 30 integrates a resonance detection circuit and a damping control unit. The detection circuit monitors the voltage and current fluctuations in real time. Once a resonance phenomenon is detected, the control unit activates the damping resistor and adjusts the circuit characteristics to destroy the resonance condition.

[0039] The arc extinguishing controller 40 uses a high-precision sensor to detect the current of the ground fault and applies a compensating current at the fault point. The control unit can adjust the intensity of the compensating current according to the actual fault situation, thereby achieving arc extinguishing and reducing overvoltage.

[0040] When the system detects a fault signal, the sound and light alarm 50 emits a sound and light signal to alarm. It usually includes a sound emitting device (such as a buzzer) and a light emitting device (such as a flashlight), and the alarm is activated by a trigger mechanism.

[0041] The monitoring and recognition module 60 monitors the status of the sound and light alarm 50 through sensors and recognition algorithms. The recognition algorithm in the module can determine the type and severity of the alarm and send the information to the remote control system or maintenance personnel through wireless or wired communication.

[0042] In summary, this embodiment effectively detects and eliminates resonance and arc grounding faults in the system by comprehensively using the detuning controller 30 and the arc extinguishing controller 40. The detuning controller 30 monitors and adjusts the circuit characteristics in real time, destroys the resonance conditions, and fundamentally reduces the impact of resonance on the system. The arc extinguishing controller 40 responds quickly to the arc grounding fault, and reduces the grounding current to near zero by injecting a compensation current, thereby eliminating the overvoltage. The coordinated work of the sound and light alarm 50 and the monitoring identification module 60 ensures the timeliness and accuracy of the fault alarm, thereby significantly improving the sensitivity and response speed of fault detection. In addition, the sound and light alarm 50 and the monitoring identification module 60 are not in the same circuit, which ensures the stability and safety of the early warning system.

[0043] Furthermore, the monitoring and recognition module 60 is specifically used to recognize the alarm action of the sound and light alarm 50 through an artificial intelligence recognition model, obtain a recognition result, and send an alarm signal based on the recognition result.

[0044] It can be seen that the monitoring recognition module 60 recognizes the alarm action of the sound and light alarm 50 through the artificial intelligence recognition model. This module uses artificial intelligence technology, especially machine learning algorithms, to analyze the signals sent by the sound and light alarm 50. The artificial intelligence model is trained to accurately recognize different types of alarm actions, classify them and process them.

[0045] Among them, the artificial intelligence recognition model is usually implemented through deep learning or other machine learning algorithms. The system will include a trained model, which has been trained with a large amount of data on the alarm state and normal state of the sound and light alarm 50 to recognize different alarm modes. The monitoring recognition module 60 inputs the received alarm signal into the model, and the model will analyze and generate a recognition result. According to the recognition result, the system will take corresponding actions, such as sending an alarm signal or recording fault information.

[0046] It can be seen that the use of artificial intelligence recognition models has improved the intelligence level of the fault alarm system. Compared with traditional hardware or rule-based recognition methods, artificial intelligence models can more accurately analyze and identify complex alarm patterns. This can reduce false alarm rates and missed alarm rates, improve the reliability and accuracy of fault detection, ensure timely response to real fault conditions, and enhance system safety and maintenance efficiency.

[0047] Furthermore, the confidence level of the artificial intelligence recognition model is set to be less than 30.

[0048] This optional solution stipulates that the confidence level of the AI ​​recognition model is set to less than 30. This means that during the recognition process, the system will only further process or issue an alarm signal if the model's confidence level in the alarm action (i.e., the model's degree of certainty in the recognition result) is less than 30. This setting can reduce the system's response to false alarms or low-confidence recognition results.

[0049] Model confidence refers to the degree of confidence the model has in its output results. In actual operation, the AI ​​model generates a confidence value for each recognition result, which indicates the model's certainty about the recognition result. By setting a confidence threshold (such as less than 30), the system can filter out recognition results with insufficient confidence and avoid unnecessary alarms. This threshold setting is usually achieved by adjusting the model's parameters and training process.

[0050] It can be seen that setting the confidence level to less than 30 can effectively reduce false alarms and false alarms. Low confidence recognition results may mean that the model has high uncertainty and lacks sufficient accuracy. In this way, the system can respond to real fault conditions more accurately, reduce maintenance costs and unnecessary operations caused by false alarms, and improve the efficiency of fault handling and system reliability.

[0051] Furthermore, the monitoring identification module 60 is also used to determine whether the identification result is an emergency situation, and if so, send an alarm message to the corresponding mobile terminal device.

[0052] This optional solution specifies the function of the monitoring identification module 60, that is, determining whether the identification result is an emergency situation and sending an alarm message to the mobile terminal device when it is confirmed to be an emergency situation. This function is intended to further enhance the intelligence of the fault alarm system and ensure that relevant personnel can be quickly notified in an emergency situation.

[0053] Among them, the monitoring identification module 60 will judge the identification results based on the identification results of the artificial intelligence model in combination with the preset emergency standards. The system sets the emergency level of various fault scenarios, and the module compares the identification results with these standards. When the identification results meet the emergency standards, the system sends the alarm information to a preset mobile terminal device, such as a mobile phone or tablet computer, via wireless communication or the network. This usually involves an application programming interface (API) or service that communicates with the mobile device.

[0054] It can be seen that this design effectively improves the response speed of emergency situations. When the system identifies an emergency fault, it can immediately notify the maintenance personnel or operators so that they can take prompt action. This timely communication mechanism ensures that serious faults can be handled quickly, helping to reduce potential losses and improve the overall safety of the system.

[0055] Furthermore, the monitoring identification module 60 is specifically used to perform emergency interval identification processing on the identification result, and send an alarm signal when the identification result is in the fault emergency processing interval.

[0056] The monitoring and identification module 60 not only identifies the fault, but also performs emergency interval identification processing on the identification result. When the identification result falls into the fault emergency processing interval, the system will send an alarm signal. This requirement emphasizes the processing priority of faults of different levels in order to more effectively manage and respond to faults.

[0057] The emergency interval identification process involves defining different levels of emergency processing intervals for faults and classifying the identification results. The monitoring identification module 60 processes the identification results through the set thresholds and intervals. If the urgency of the identification result is within the preset emergency interval, the system will trigger an alarm signal. This usually includes comparing the identification result with the emergency interval standard and sending a signal through the set alarm mechanism.

[0058] By identifying and processing the emergency interval of the fault, the system can take appropriate response measures according to the severity of the fault. This approach ensures that the system can give priority to truly urgent situations, thereby improving the efficiency of fault management. It avoids interference from low-priority faults, allowing emergency situations to be handled in a timely manner, further improving the reliability of the system and the speed of fault response.

[0059] Furthermore, the monitoring identification module 60 is also used to identify personnel within the video monitoring range, and when the action of personnel handling a fault is identified, the sending of the alarm signal is suspended.

[0060] Among them, the monitoring identification module 60 has the function of identifying people within the video monitoring range. When the system recognizes that a person is handling a fault, it will suspend sending alarm signals. This function is intended to avoid repeated and unnecessary alarms, especially when a person is already handling a fault.

[0061] The system obtains real-time images through video surveillance equipment and uses computer vision technology to identify people in the images. The monitoring recognition module 60 analyzes the action pattern in the image to determine whether it is a behavior of handling a fault. Once the action of a person handling a fault is identified, the module will temporarily stop sending additional alarm signals to avoid interfering with the person who is already handling the fault.

[0062] This design effectively reduces interference to personnel who are handling faults. By identifying and tracking personnel actions, the system can avoid unnecessary repeated alarms, reduce false alarms and interference, and improve the efficiency of fault handling and personnel's work experience. This intelligent management method helps to improve the system's response accuracy and operational fluency.

[0063] Furthermore, the monitoring identification module 60 is also used to perform hazard identification on images acquired by video surveillance, obtain hazard identification results, and send warning signals based on the hazard identification results; wherein hazard identification includes smoke identification, fire identification, flood identification, and object dumping identification.

[0064] The monitoring identification module 60 is also used to identify dangers in the images obtained by video monitoring, including smoke, fire, flood and dumped objects, etc. This function enables the system to automatically detect potential dangerous situations and send early warning signals based on the danger identification results.

[0065] The surveillance identification module 60 is equipped with a hazard identification algorithm that detects different types of hazards by analyzing features in the video surveillance images. The algorithm may include technologies such as smoke detection, flame detection, flood sign recognition, and object dumping detection. After identifying a dangerous situation, the system will generate an early warning signal and notify relevant personnel. Image processing and machine learning technologies are usually used to implement these functions.

[0066] The system's ability to detect environmental hazards has been enhanced, allowing the system to issue early warnings in the event of potential threats such as smoke, fire, flooding, or falling objects. The response speed to environmental changes has been improved, which helps prevent accidents from expanding and ensures the safety of personnel and equipment. This comprehensive hazard detection and early warning mechanism has improved the system's overall monitoring capabilities and safety protection level.

[0067] Furthermore, the following implementation methods may be adopted in the specific application process.

[0068] Please refer to Figure 2 , Figure 2 This is a control principle diagram of the sound and light alarm provided in an embodiment of the present application.

[0069] refer to Figure 2 , where an AC220V sound and light alarm 50 is installed at any location covered by the 110KV substation control room monitoring. Figure 2 The SGBJ shown. The AC power supply L in the arc detuning cabinet is eliminated as the driving power supply 10 of the sound and light alarm 50, and a 2P air circuit breaker 202QF is connected in series. The A9 and A10 normally open points of the arc extinguishing controller 40 are connected in parallel with the B5 and B6 of the detuning controller 30. 904 and 905 are connected to the sound and light alarm 50.

[0070] Then, through the AI ​​monitoring and recognition system, the sound and light alarm 50 is incorporated into the action algorithm, and the confidence level is adjusted to less than 30.

[0071] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0072] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0073] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0074] The above is a detailed introduction to a fault alarm system for a power supply system provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

Claims

1. A fault alarm system for a power supply system, characterized in that: include: A driving power supply, used for providing power; An air circuit breaker, connected to the driving power supply and used for protecting the circuit; Detuning controller, used to detect the occurrence of resonance and destroy the resonance condition by inserting a damping resistor; Arc extinguishing controller is used to detect arc grounding faults and inject compensation current at the fault point to reduce the grounding current to near zero and eliminate arc grounding overvoltage; Sound and light alarm, used to send out sound and light alarm action when a fault occurs; The monitoring and identifying module is used to identify the alarm action of the sound and light alarm, obtain the identification result, and send an alarm signal based on the identification result.

2. The fault warning system according to claim 1, characterized in that: The monitoring identification module is specifically used to identify the alarm action of the sound and light alarm through an artificial intelligence recognition model, obtain the recognition result, and send an alarm signal based on the recognition result.

3. The fault warning system according to claim 2, characterized in that: The confidence level of the artificial intelligence recognition model is set to be less than 30.

4. The fault warning system according to claim 3, characterized in that: The monitoring identification module is also used to determine whether the identification result is an emergency situation, and if so, send an alarm message to the corresponding mobile terminal device.

5. The fault warning system according to claim 4, characterized in that: The monitoring and identification module is specifically used to perform emergency interval identification processing on the identification result, and send an alarm signal when the identification result is in the fault emergency processing interval.

6. The fault warning system according to claim 5, characterized in that: The monitoring identification module is also used to identify personnel within the video monitoring range, and when the action of the personnel handling the fault is identified, the sending of the alarm signal is suspended.

7. The fault warning system according to claim 6, characterized in that: The monitoring identification module is also used to perform hazard identification on images acquired by video surveillance, obtain hazard identification results, and send a warning signal based on the hazard identification results; wherein the hazard identification includes smoke identification, fire identification, flood identification, and object dumping identification.

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