Full-state intelligent monitoring and sensing system of switch cabinet

Abstract

The invention relates to the technical field of switch cabinet monitoring, and particularly discloses a full-state intelligent monitoring and sensing system for a switch cabinet, and the system is provided with a switch cabinet full-state information judgment module and a switch cabinet state abnormity alarm module. Various parameters of the environment monitoring state information, the electrical equipment state information and the insulating material state information are analyzed respectively, and an environment interference evaluation index of the environment monitoring state information, an equipment operation abnormal index of the electrical equipment state information and an insulating material influence index of the insulating material state information are calculated respectively; the state sensing abnormal value of the full-state information of the switch cabinet is comprehensively calculated, so that sensing abnormal alarm is performed on the full-state information of the switch cabinet, abnormal conditions of the switch cabinet and potential energy waste and equipment problems can be found in time, and maintenance personnel can take corresponding measures in time. And the high-efficiency operation efficiency, safety and reliability of the switch cabinet are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of switch cabinet monitoring, and in particular to a full-state intelligent monitoring and sensing system for a switch cabinet. Background Art

[0002] As an important part of the power system, switchgear requires regular maintenance and monitoring to ensure its stable operation. Traditional manual inspection methods have problems such as low efficiency, inability to fully perceive, and easy omissions. With the development of intelligent monitoring technology, the feasibility of real-time monitoring and perception of the full status information of the switchgear has increased. By real-time monitoring of various parameters of the switchgear, detailed data analysis can be provided, and abnormal conditions of the switchgear, as well as potential energy waste and equipment problems can be discovered in time, which helps to take measures in advance to avoid equipment failures and power outages. At the same time, it can reduce the workload of manual inspection and maintenance, improve the operating efficiency and reliability of the power system, and help reduce energy consumption and maintenance costs.

[0003] For example, a patent application with announcement number CN114325270B discloses a method and device for monitoring partial discharge of a switch cabinet. The method divides the collected ultrasonic signal into frequency bands to obtain ultrasonic signals corresponding to several frequency bands, and obtains ultrasonic curves corresponding to each frequency band by fitting, calculates the similarity coefficient between the ultrasonic curve corresponding to each frequency band and a preset ultrasonic curve, and uses the comparison result of the similarity coefficient with a preset similarity coefficient threshold to eliminate the ultrasonic curve of the frequency band superimposed with an interference signal. At the same time, a series of retained ultrasonic curves are reconstructed to obtain new ultrasonic curves, and the corresponding ultrasonic energy is calculated, so as to judge whether partial discharge has occurred at a predetermined position in the switch cabinet based on the ultrasonic energy, thereby reducing the influence of electromagnetic interference of the external environment on the partial discharge signal and improving the accuracy of the partial discharge monitoring results.

[0004] For example, a patent application with announcement number CN107179487B discloses a switch cabinet partial discharge monitoring device and method, including a sound sensor for obtaining sound data of the switch cabinet to be monitored, an ultraviolet light sensor for obtaining ultraviolet light data of the switch cabinet to be monitored, an ozone sensor for obtaining ozone data of the switch cabinet to be monitored, a leakage current sensor for obtaining leakage current data of the switch cabinet to be monitored, and a control module; the control module stores preset values ​​of sound data, ultraviolet light data, ozone data and leakage current data, and is used to receive sound data, ultraviolet light data, ozone data and leakage current data, and when at least one of the sound data, ultraviolet light data and ozone data is greater than the corresponding preset value, compares the leakage current data with the preset value of the leakage current data; the sound sensor, ultraviolet light sensor, ozone sensor and leakage current sensor are respectively connected to the control module, so that online monitoring of partial discharge of the switch cabinet can be realized.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, it was found that the above technology has at least the following technical problems: when monitoring the local discharge of the switch cabinet, the above application did not take into account the influence of the insulating material in the switch cabinet on the local discharge, and did not collect the relevant parameters of the insulating material, so that the local discharge of the switch cabinet was not effectively alleviated; and when monitoring the local discharge of the switch cabinet, the above application did not analyze it through effective substantial numerical processing, so that the various indicators finally obtained had no data support, making the local discharge monitoring results of the switch cabinet unable to have sufficient persuasiveness and accuracy. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a full-state intelligent monitoring and sensing system for a switch cabinet, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a full-state intelligent monitoring and perception system for a switch cabinet, including a switch cabinet full-state information judgment module, which is used to judge the environmental monitoring status information, electrical equipment status information and insulating material status information of the switch cabinet full-state information; a switch cabinet state abnormality alarm module, which is used to perceive abnormal alarms for the switch cabinet full-state information.

[0008] As a further solution, the switch cabinet full status information is sensed and an abnormal alarm is generated. The specific analysis process is as follows: The state perception abnormality value of the switch cabinet full state information is compared with the preset state perception abnormality threshold. If the state perception abnormality value of the switch cabinet full state information is higher than the preset state perception abnormality threshold, a perception abnormality alarm is issued for the switch cabinet full state information.

[0009] As a further solution, the state perception abnormal value of the switch cabinet full state information is specifically calculated by the following formula: , In the formula, It is the state perception abnormal value of the full state information of the switch cabinet. The environmental interference assessment index for environmental monitoring status information, The equipment operation abnormality index is the electrical equipment status information. Insulation material impact index for insulation material status information, , and are the perception weight factors corresponding to the set environmental interference assessment index, equipment operation abnormality index and insulation material impact index respectively, and e is a natural constant.

[0010] As a further solution, the environmental interference assessment index of the environmental monitoring status information is specifically analyzed as follows: According to the environmental monitoring status information of the switch cabinet, the number of partial discharges of the switch cabinet within the set historical monitoring period is counted, thereby obtaining the discharge information of the switch cabinet under each partial discharge, including the maximum discharge amplitude, the total discharge power and the discharge duration. The historical monitoring period is divided into various monitoring time points, and the ultrasonic frequency and the concentration of each gas corresponding to each monitoring time point of the switch cabinet under each partial discharge are obtained. The discharge limit amplitude, the discharge allowable power, the discharge allowable duration, the ultrasonic limit frequency and the allowable concentration of each gas corresponding to the switch cabinet are extracted from the data perception platform, and the partial discharge influence coefficient of the environmental monitoring status information is calculated; the set state perception period is divided into various perception time points, and according to the environmental monitoring status information of the switch cabinet, the electric field strength, magnetic field strength and electromagnetic radiation frequency of each monitoring part of the switch cabinet at each perception time point are counted and obtained, and the electric field strength limit value, magnetic field strength limit value and electromagnetic radiation limit frequency corresponding to the switch cabinet are extracted from the data perception platform, and the electromagnetic field influence coefficient of the environmental monitoring status information is calculated, thereby calculating the environmental interference assessment index of the environmental monitoring status information.

[0011] As a further solution, the equipment operation abnormality index of the electrical equipment status information is specifically analyzed as follows: According to the electrical equipment status information of the switch cabinet, the current time domain waveform and voltage time domain waveform of each electrical equipment of the switch cabinet within the set state perception cycle are counted and obtained, and compared with the current reference time domain waveform and voltage reference time domain waveform corresponding to each electrical equipment defined by the data perception platform, respectively, to obtain the current time domain waveform overlap area and voltage time domain waveform overlap area of ​​each electrical equipment of the switch cabinet within the state perception cycle; according to the current time domain waveform and voltage time domain waveform of each electrical equipment of the switch cabinet within the set state perception cycle, the current pulse rise duration of each electrical equipment of the switch cabinet within the state perception cycle is obtained. Time and duration of voltage pulse rise; according to the current reference time domain waveform and voltage reference time domain waveform corresponding to each electrical equipment defined by the data perception platform, obtain the lowest current reference value, the highest current reference value, the lowest voltage reference value and the highest voltage reference value corresponding to each electrical equipment, and compare them with the current time domain waveform and voltage time domain waveform of each electrical equipment of the switch cabinet within the state perception cycle, and obtain the overcurrent operation segment length, undercurrent operation segment length, overvoltage operation segment length and undervoltage operation segment length of each electrical equipment of the switch cabinet within the state perception cycle; calculate the equipment operation abnormality index of the electrical equipment status information.

[0012] As a further solution, the insulating material impact index of the insulating material status information has a specific analysis process as follows: The number of insulating materials in the switch cabinet is counted, and the three-dimensional image of each insulating material is obtained through a three-dimensional scanner, thereby obtaining the contamination thickness, number of defects and the area corresponding to each defect area of ​​each insulating material; the contamination allowable thickness and defect definition area corresponding to the insulating material are extracted from the data perception platform to calculate the insulating material impact index of the insulating material status information.

[0013] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a full-state intelligent monitoring and sensing system for a switch cabinet, which sequentially determines the environmental monitoring status information, electrical equipment status information, and insulating material status information of the full-state information of the switch cabinet, and senses abnormal alarms for the full-state information of the switch cabinet, thereby facilitating timely detection of abnormal conditions of the switch cabinet and potential energy waste and equipment problems, so that maintenance personnel can take corresponding measures in a timely manner to improve the efficient operation efficiency, safety, and reliability of the switch cabinet.

[0014] (2) The present invention analyzes various parameters of the environmental monitoring status information, the electrical equipment status information and the insulating material status information respectively, and calculates the environmental interference assessment index of the environmental monitoring status information, the equipment operation abnormality index of the electrical equipment status information and the insulating material influence index of the insulating material status information respectively, which can provide detailed data for determining the abnormal conditions of the switch cabinet. Through intelligent monitoring of the switch cabinet, it helps to reduce the workload of manual inspection and maintenance, and reduce the occurrence rate of failures caused by human factors.

[0015] (3) The present invention comprehensively calculates the state perception abnormality value of the full state information of the switch cabinet, compares the state perception abnormality value of the full state information of the switch cabinet with the preset state perception abnormality threshold, thereby performing a perception abnormality alarm for the full state information of the switch cabinet, which can improve the operating efficiency and stability of the power system, and help reduce energy consumption in the switch cabinet and reduce maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0017] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0018] Figure 2 It is a schematic diagram of the current time domain waveform involved in the present invention.

[0019] Figure 3 It is a schematic diagram of the voltage time domain waveform involved in the present invention. DETAILED DESCRIPTION

[0020] The technical solutions 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 only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, an embodiment of the present invention provides a technical solution: a full-state intelligent monitoring and perception system for a switch cabinet, including a switch cabinet full-state information determination module and a switch cabinet state abnormality alarm module.

[0022] In a specific embodiment, the present invention provides a full-state intelligent monitoring and sensing system for a switch cabinet, which sequentially determines the environmental monitoring status information, electrical equipment status information, and insulating material status information of the full-state information of the switch cabinet, and senses abnormal alarms for the full-state information of the switch cabinet, which is conducive to timely detection of abnormal conditions of the switch cabinet and potential energy waste and equipment problems, so that maintenance personnel can take corresponding measures in a timely manner to improve the efficient operation efficiency, safety and reliability of the switch cabinet.

[0023] The full-state intelligent monitoring and perception system of the switch cabinet also includes a data perception platform, wherein the data perception platform is used to store the current reference time domain waveform and the voltage reference time domain waveform corresponding to each electrical equipment, and also stores the corresponding contamination allowable thickness and defect definition area of ​​the insulating material, and stores the discharge definition amplitude, discharge allowable power, discharge allowable duration, ultrasonic definition frequency and each gas allowable concentration corresponding to the switch cabinet, and stores the electric field strength definition value, magnetic field strength definition value and electromagnetic radiation definition frequency corresponding to the switch cabinet.

[0024] The switch cabinet full state information determination module is connected to the switch cabinet state abnormality alarm module, and the switch cabinet full state information determination module is connected to the data perception platform.

[0025] The switch cabinet state abnormality alarm module is used to sense abnormality alarm of the switch cabinet full state information.

[0026] Specifically, the switch cabinet full status information is sensed and an abnormal alarm is generated, and the specific analysis process is as follows: The state perception abnormality value of the full state information of the switch cabinet is compared with the preset state perception abnormality threshold. If the state perception abnormality value of the full state information of the switch cabinet is higher than the preset state perception abnormality threshold, in this embodiment, when the state perception abnormality value of the full state information of the switch cabinet is higher than the preset state perception abnormality threshold, it means that the full state information perception of the switch cabinet is abnormal, which means that the state monitoring system in the switch cabinet cannot work normally or has a fault. If fault detection and repair are not performed in time, the status of each component in the switch cabinet cannot be accurately understood, which will increase the risk of accidents such as electrical fires.

[0027] The entire status information of the switch cabinet is sensed and an abnormal alarm is issued.

[0028] Furthermore, the state perception abnormal value of the switch cabinet full state information is specifically calculated by the following formula: , In the formula, It is the state perception abnormal value of the full state information of the switch cabinet. In this embodiment, if the state perception abnormal value of the full state information of the switch cabinet is not perceived and monitored in real time for the environmental state, equipment operation information and insulation material impact information in the switch cabinet, the state monitoring system of the switch cabinet will not be able to accurately and timely perceive the state of each component in the switch cabinet, which increases the difficulty of fault judgment and processing, and also increases safety hazards. Therefore, it is necessary to regularly inspect and maintain the state monitoring system of the switch cabinet to ensure its normal operation, reduce environmental interference, replace aging or damaged insulation materials in time, and troubleshoot and repair equipment operation abnormalities to improve the reliability and accuracy of full state information perception.

[0029] The environmental interference assessment index for environmental monitoring status information, The equipment operation abnormality index is the electrical equipment status information. Insulation material impact index for insulation material status information, , and are the perception weight factors corresponding to the set environmental interference assessment index, equipment operation abnormality index and insulation material impact index respectively, and e is a natural constant.

[0030] In a specific embodiment, the present invention comprehensively calculates the state perception abnormality value of the full state information of the switch cabinet, compares the state perception abnormality value of the full state information of the switch cabinet with a preset state perception abnormality threshold, thereby performing a perception abnormality alarm for the full state information of the switch cabinet, which can improve the operating efficiency and stability of the power system, and help reduce energy consumption in the switch cabinet and reduce maintenance costs.

[0031] The switch cabinet full state information determination module is used to determine the environmental monitoring state information, electrical equipment state information and insulating material state information of the switch cabinet full state information.

[0032] Specifically, the environmental interference assessment index of the environmental monitoring status information is calculated by the following formula: , In the formula, is the environmental interference assessment index of the environmental monitoring status information. In this embodiment, the environmental interference assessment index of the above environmental monitoring status information is that the discharge pulse signal generated by partial discharge will interfere with the environmental perception monitoring system of the switch cabinet. These discharge pulse signals will be embedded in the signal of the monitoring system, which will cause the switch cabinet to misjudge or misreport the environmental status, making the monitoring of the real environmental status inaccurate; there may be electromagnetic field interference around the switch cabinet, and these electromagnetic field interferences will produce meaningless signal interference to the environmental perception monitoring system of the switch cabinet, interfere with the transmission and analysis of the signal, and then cause the monitoring system to be unable to accurately perceive the environmental status. Therefore, it is necessary to monitor the partial discharge behavior of the switch cabinet and the degree of influence of the electromagnetic field, thereby reducing the negative impact of partial discharge and electromagnetic field on the environmental perception monitoring system of the switch cabinet and improving the reliability and accuracy of monitoring.

[0033] is the partial discharge influence coefficient of the environmental monitoring status information, is the electromagnetic field influence coefficient of the environmental monitoring status information, and are the weight factors corresponding to the set partial discharge influence coefficient and electromagnetic field influence coefficient respectively, and e is a natural constant.

[0034] Furthermore, the specific analysis process of the equipment operation abnormality index of the electrical equipment status information is as follows: According to the electrical equipment status information of the switch cabinet, the current time domain waveform and the voltage time domain waveform of each electrical equipment of the switch cabinet within the set status sensing period are counted and obtained.

[0035] It should be explained that the above-mentioned electrical equipment includes but is not limited to circuit breakers, contactors, motors and connectors.

[0036] The specific shape of the current time domain waveform is as follows Figure 2 As shown, the specific shape of the voltage time domain waveform is as follows Figure 3 As shown, the horizontal axis of the current time domain waveform is the perception time point, the unit is second, and the vertical axis is the current, the unit is ampere. The horizontal axis of the voltage time domain waveform is the perception time point, the unit is second, and the vertical axis is the voltage, the unit is volt.

[0037] The current reference time domain waveform and the voltage reference time domain waveform corresponding to each electrical equipment defined by the data perception platform are compared respectively, wherein the numerical values ​​of the horizontal and vertical coordinates of the current reference time domain waveform and the voltage reference time domain waveform are the same as those of the current time domain waveform and the voltage time domain waveform.

[0038] The overlap area of ​​the current time domain waveform and the overlap area of ​​the voltage time domain waveform of each electrical device of the switch cabinet within the state sensing cycle are obtained.

[0039] According to the current time domain waveform and voltage time domain waveform of each electrical device of the switch cabinet within the set state sensing cycle, the current pulse rise duration and voltage pulse rise duration of each electrical device of the switch cabinet within the state sensing cycle are obtained.

[0040] It needs to be explained that the above-mentioned current pulse rise duration and voltage pulse rise duration are used to describe the characteristic time of the pulse signal. The current pulse rise duration refers to the time it takes for the current pulse to rise from a low level to a high level, and the voltage pulse rise duration refers to the time it takes for the voltage pulse to rise from a low level to a high level. The values ​​of these two parameters are usually expressed in seconds. They describe the time characteristics of the pulse signal during the rising process and have an important impact on the transmission and response process of the circuit.

[0041] According to the current reference time domain waveform and voltage reference time domain waveform corresponding to each electrical equipment defined by the data perception platform, the lowest current reference value, the highest current reference value, the lowest voltage reference value and the highest voltage reference value corresponding to each electrical equipment are obtained, and compared with the current time domain waveform and the voltage time domain waveform of each electrical equipment of the switchgear within the state perception cycle, respectively, to obtain the overcurrent operation segment duration, undercurrent operation segment duration, overvoltage operation segment duration and undervoltage operation segment duration of each electrical equipment of the switchgear within the state perception cycle.

[0042] Calculate the equipment operation abnormality index of electrical equipment status information, the calculation formula is: , in, , In the formula, The device operation abnormality index of the electrical equipment status information is, in this embodiment, the device operation abnormality index of the electrical equipment status information is, when the equipment operates abnormally, its output waveform may be offset or distorted from the waveform under normal conditions, resulting in a reduction in the overlap area of ​​the time domain waveform, which may make it impossible for the monitoring system in the switch cabinet to correctly identify and judge the operating status of the equipment, thereby affecting the detection and handling of faults; when the equipment operates abnormally, the rising duration of its output pulse signal may increase or change, which may cause delay or distortion of signal transmission, affecting the monitoring system's accurate perception and judgment of the equipment status; when the abnormal operation section length increases, it indicates that the equipment More abnormal situations have occurred in the operation of the equipment, which may cause the monitoring system in the switch cabinet to be unable to detect the abnormal operation of the equipment in a timely and accurate manner, thereby delaying fault handling and maintenance work, and increasing the risk of equipment failure and safety hazards; these negative effects may cause the abnormal operation of electrical equipment in the switch cabinet to be unable to be monitored and diagnosed in a timely and accurate manner, increasing the difficulty of fault handling and maintenance, and also increasing the operational instability and safety risks of the equipment. Therefore, it is necessary to conduct regular inspections and maintenance of the electrical equipment in the switch cabinet to ensure its normal operation, reduce the duration of abnormal operation, reduce waveform distortion and changes in pulse rise duration, so as to improve the reliability and stability of equipment operation.

[0043] , and They are the operation weight coefficients corresponding to the set time domain waveform overlap area, pulse rise time duration, and abnormal operation section duration. , and They are the operation correction coefficients corresponding to the set time domain waveform overlap area, pulse rise time duration, and abnormal operation section duration. and are respectively the overlap area of ​​the current time domain waveform and the overlap area of ​​the voltage time domain waveform of the g-th electrical equipment in the switch cabinet during the state sensing cycle, and are respectively the current pulse rise duration and voltage pulse rise duration of the g-th electrical equipment in the switch cabinet within the state sensing cycle, , , and are respectively the duration of the overcurrent operation segment, the undercurrent operation segment, the overvoltage operation segment, and the undervoltage operation segment of the g-th electrical equipment in the switch cabinet during the state sensing cycle, and They are the total area of ​​the current time domain waveform and the total area of ​​the voltage time domain waveform, respectively. The length of the total area of ​​the current time domain waveform is the total length of the sensing time points in the horizontal axis, and the width is the total length of the current in the vertical axis. Similarly, the length of the total area of ​​the voltage time domain waveform is the total length of the sensing time points in the horizontal axis, and the width is the total length of the voltage in the vertical axis.

[0044] is the duration of the state sensing cycle, g is the number of each electrical device, , u is the number of electrical equipment, and e is a natural constant.

[0045] Specifically, the insulating material impact index of the insulating material status information has a specific analysis process as follows: The number of insulating materials in the switch cabinet is counted, and a three-dimensional image of each insulating material is obtained through a three-dimensional scanner, thereby obtaining the contamination thickness, number of defects and area corresponding to each defective area of ​​each insulating material.

[0046] It should be explained that the above-mentioned types of insulation materials include but are not limited to porcelain insulation, silicone rubber and glass fiber insulation.

[0047] The permissible contamination thickness and defect definition area corresponding to the insulating material are extracted from the data perception platform.

[0048] Calculate the insulation material impact index of the insulation material status information. The calculation formula is: , In the formula, is the insulation material impact index of the insulation material status information. In this embodiment, the insulation material impact index of the insulation material status information is as follows: the contamination thickness of the insulation material will lead to the enhancement of the local electric field, thereby causing the occurrence of partial discharge and the increase of discharge energy. These discharges will generate heat and gas, further damaging the insulation material, and even causing equipment failure; the increase in the number of defects and the corresponding area of ​​the insulation material will lead to the decline of the insulation performance of the insulation material. Defects such as bubbles and cracks will destroy the continuity of the insulation material, forming weaknesses, making the insulation material easy to be broken down by the electric field, increasing the risk of partial discharge. The increase in the area corresponding to the defects will also lead to the reduction of the insulation strength of the insulation material, increasing the possibility of partial discharge; the above negative effects will lead to the decline of the reliability of the insulation system in the switch cabinet, increase the risk of equipment failure, and may cause partial or overall failure of the equipment. Therefore, regular cleaning of the insulation material, timely repair of defects, keeping the insulation material dry and other maintenance work are of great significance for preventing the occurrence of partial discharge. In addition, regular detection of the degree of contamination and defects of the insulation material, insulation resistance testing and partial discharge detection are also helpful to timely discover and deal with insulation problems and ensure the normal operation and safety of the equipment.

[0049] and are the contamination thickness and defect number of the ith insulating material, respectively. The contamination thickness refers to the thickness of pollutants accumulated on the surface or inside the insulating material. When the insulating material is exposed to the environment, a layer of contamination will gradually form on the surface or inside the insulating material due to the deposition of pollutants such as dust, moisture, and oil in the air. The thickness of this contamination layer refers to the maximum thickness from the surface of the insulating material to the contaminant. Defect types include but are not limited to gas bubbles, cracks, and impurities on the surface.

[0050] is the area corresponding to the jth defect region of the i-th insulating material, and They are the allowable contamination thickness and defect definition area corresponding to the insulating material, is the impact factor corresponding to the set single defect area, and are the correction coefficients corresponding to the set contamination thickness and defect area, i is the number of each insulating material, , r is the amount of insulating material, j is the number of each defect area, , q is the number of defective areas.

[0051] Furthermore, the specific analysis process of the partial discharge influence coefficient of the environmental monitoring status information is as follows: According to the environmental monitoring status information of the switch cabinet, the number of partial discharges of the switch cabinet within the set historical monitoring period is counted. Since the electric field strength of each part of the switch cabinet is different during operation, if the electric field strength in a certain area reaches its breakdown strength, discharge will occur in this area. If the discharge does not break down the insulation system, this phenomenon is called partial discharge. Partial discharge refers to electrical discharge in which part of the insulation system of the switch cabinet equipment is broken down. This discharge can occur near the conductor or at other locations of the equipment. Partial discharge mainly includes internal discharge of the insulating material, surface discharge and discharge at the tip of the high-voltage electrode. Partial discharge generally does not lead to through-breakdown of the insulation, but it will cause local damage to the dielectric and reduce the electrical strength of the insulating dielectric.

[0052] Thus, the discharge information of the switch cabinet under each partial discharge is obtained, including the maximum discharge amplitude, the total discharge power and the discharge duration.

[0053] The maximum discharge amplitude, total discharge power and discharge duration are obtained by using current sensor, voltage sensor and time sensor respectively. The current sensor is used to measure the current passing through the switch cabinet during the discharge process, so as to calculate the discharge power; the voltage sensor is used to measure the voltage of the switch cabinet, which can be used to calculate the discharge amplitude; the time sensor is used to record the start and end time of the discharge, so as to calculate the discharge duration.

[0054] The historical monitoring period is divided into various monitoring time points, and the ultrasonic frequency and gas concentration corresponding to each monitoring time point of the switch cabinet under each partial discharge are obtained.

[0055] The device for obtaining the numerical value of gas concentration is a gas sensor.

[0056] The discharge limit amplitude, discharge allowable power, discharge allowable duration, ultrasonic limit frequency and allowable concentration of each gas corresponding to the switch cabinet are extracted from the data perception platform.

[0057] Calculate the partial discharge influence coefficient of the environmental monitoring status information. The calculation formula is: , in, , In the formula, is the local discharge influence coefficient of the environmental monitoring status information. In this embodiment, the local discharge influence coefficient of the environmental monitoring status information is as follows: a large discharge amplitude and electric quantity of the local discharge may indicate that the insulating material has serious defects or damage, which may lead to the breakdown or burning of the insulating material; the high energy and heat generated during the discharge may cause aging, deterioration and thermal damage of the insulating material, reduce its resistance and reduce its insulation performance; the heat and gas generated during the discharge may destroy the structure of the insulating material, leading to arc, spark and short circuit faults, causing damage to the equipment and even causing a fire; the high-frequency ultrasonic signal generated by the local discharge may cause electromagnetic interference to the surrounding electronic equipment and systems, It affects the normal operation of the equipment, causing data transmission errors, system crashes and other problems; various gases are generated during partial discharge, and these gases accumulate inside the equipment to form gas bubbles or air gaps, further damaging the insulating materials and increasing the probability of partial discharge in the equipment; in summary, the discharge amplitude, discharge power, discharge duration, ultrasonic frequency and changes in the concentration of each gas during partial discharge of the switch cabinet may cause damage to the insulating materials, degradation of insulation performance, increased risk of equipment failure, electromagnetic interference and gas generation and accumulation and other negative effects. Therefore, regular partial discharge detection and monitoring, and timely identification and handling of partial discharge problems are essential to ensure the safe operation of the switch cabinet.

[0058] and are the impact weight coefficients corresponding to the set discharge information and the monitoring environment, and They are the set discharge information and the discharge correction coefficient corresponding to the monitoring environment. , and They are the maximum discharge amplitude, total discharge power and discharge duration of the switch cabinet under the ath partial discharge, respectively. In the switch cabinet, the discharge amplitude of partial discharge refers to the peak value of current or voltage during the discharge process, the discharge power refers to the amount of charge or energy passing through the discharge process, and the discharge duration refers to the length of time the discharge lasts. These parameters are usually used to describe the intensity, scale and duration of partial discharge. Usually, the larger the discharge amplitude, discharge power and discharge duration of partial discharge, the more serious defects or damage the equipment has.

[0059] , and They are the discharge limit amplitude, discharge allowable power and discharge allowable duration corresponding to the switch cabinet. is the ultrasonic frequency corresponding to the bth monitoring time point of the switch cabinet under the ath partial discharge, wherein in the switch cabinet, the ultrasonic frequency of partial discharge refers to the frequency of the ultrasonic signal generated during the discharge process, and the ultrasonic signal generated by partial discharge is usually generated by arc or corona discharge.

[0060] In this embodiment, the device for obtaining the numerical value of the ultrasonic frequency is an ultrasonic sensor.

[0061] is the cth gas concentration corresponding to the bth monitoring time point of the switch cabinet under the ath partial discharge, where the gas types include but are not limited to hydrogen, carbon dioxide, carbon monoxide, ozone, hydrogen sulfide and methane.

[0062] The ultrasonic frequency corresponding to the switch cabinet is defined. is the cth gas permissible concentration corresponding to the switch cabinet, a is the number of each partial discharge, , z is the number of partial discharges, b is the number of each monitoring time point, , y is the number of monitoring time points, c is the number of each gas, , x is the amount of gas, and e is a natural constant.

[0063] Specifically, the electromagnetic field influence coefficient of the environmental monitoring status information is analyzed in the following process: According to the environmental monitoring status information of the switch cabinet, the electric field strength, magnetic field strength and electromagnetic radiation frequency of each monitoring part of the switch cabinet at each sensing time point are counted and obtained.

[0064] The electric field strength limit value, magnetic field strength limit value and electromagnetic radiation limit frequency corresponding to the switch cabinet are extracted from the data perception platform.

[0065] Calculate the electromagnetic field influence coefficient of environmental monitoring status information, the calculation formula is: , In the formula, is the electromagnetic field influence coefficient of the environmental monitoring status information. In this embodiment, the electromagnetic field influence coefficient of the above environmental monitoring status information, high electric field strength and magnetic field strength may cause damage or breakdown of the insulating material, thereby reducing the insulation performance of the switch cabinet, thereby increasing the possibility of local discharge of the insulating material of the switch cabinet; at the same time, high electric field strength and magnetic field strength may cause interference or damage to the electronic components inside the equipment, increasing the risk of equipment failure; high electromagnetic radiation frequency may cause electromagnetic interference to other equipment or systems, resulting in communication interruption, data loss or abnormal operation of other equipment; in summary, the electric field strength, magnetic field strength and electromagnetic radiation frequency of the switch cabinet exceeding the limit may cause negative effects such as reduced insulation performance, increased risk of equipment failure, and electromagnetic interference. Therefore, the electric field strength, magnetic field strength and electromagnetic radiation frequency should be reasonably controlled and monitored to ensure the normal operation of the switch cabinet.

[0066] , and They are the electric field strength, magnetic field strength and electromagnetic radiation frequency of the d-th monitoring part of the switch cabinet at the f-th sensing time point, wherein the devices for obtaining the electric field strength, magnetic field strength and electromagnetic radiation frequency values ​​are electric field strength sensor, magnetic field strength sensor and electromagnetic radiation frequency sensor respectively; the electric field strength in the switch cabinet refers to the electric field strength around the monitoring part of the switch cabinet, the electric field strength refers to the force exerted on a unit positive charge in an electric field, and is usually expressed by the density of the electric field strength; the magnetic field strength refers to the magnetic field strength around the monitoring part of the switch cabinet, the magnetic field strength refers to the force exerted on a unit current in a magnetic field, and is usually expressed by the density of the magnetic induction intensity; the electromagnetic radiation frequency refers to the frequency of the electromagnetic wave around the monitoring part of the switch cabinet, the electromagnetic wave is a kind of energy propagated by the interaction of the electric field and the magnetic field, and its frequency indicates the number of vibrations of the wave, and the unit is usually Hertz.

[0067] , and They are the electric field strength limit value, magnetic field strength limit value and electromagnetic radiation limit frequency corresponding to the switch cabinet. , and are the correction coefficients corresponding to the set electric field strength, magnetic field strength and electromagnetic radiation frequency, d is the number of each monitoring part, , n is the total number of monitored parts, f is the number of each sensing time point, , v is the number of perceived time points, and e is a natural constant.

[0068] In a specific embodiment, the present invention analyzes various parameters of environmental monitoring status information, electrical equipment status information and insulating material status information respectively, and calculates the environmental interference assessment index of the environmental monitoring status information, the equipment operation abnormality index of the electrical equipment status information and the insulating material influence index of the insulating material status information respectively, which can provide detailed data for determining abnormal conditions of the switch cabinet, and through intelligent monitoring of the switch cabinet, it helps to reduce the workload of manual inspection and maintenance, and reduce the occurrence rate of failures caused by human factors.

[0069] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A full-state intelligent monitoring and sensing system for a switch cabinet, characterized in that: include: A switch cabinet full state information determination module is used to determine the environmental monitoring state information, electrical equipment state information and insulation material state information of the switch cabinet full state information; The insulating material impact index of the insulating material status information is specifically analyzed as follows: Count the number of insulating materials in the switch cabinet, and obtain the three-dimensional image of each insulating material through a three-dimensional scanner, thereby obtaining the contamination thickness, number of defects and the area corresponding to each defect area of ​​each insulating material; Extract the contamination allowable thickness and defect definition area corresponding to the insulation material from the data perception platform; The switch cabinet status abnormality alarm module is used to sense abnormality alarm of the switch cabinet full status information.

2. The full-state intelligent monitoring and sensing system for a switch cabinet according to claim 1 is characterized in that: The specific analysis process of sensing abnormal alarm for the full status information of the switch cabinet is as follows: The state perception abnormality value of the switch cabinet full state information is compared with the preset state perception abnormality threshold. If the state perception abnormality value of the switch cabinet full state information is higher than the preset state perception abnormality threshold, a perception abnormality alarm is issued for the switch cabinet full state information.

3. The full-state intelligent monitoring and sensing system for a switch cabinet according to claim 2 is characterized in that: The specific analysis process of the equipment operation abnormality index of the electrical equipment status information is as follows: According to the electrical equipment status information of the switch cabinet, the current time domain waveform and voltage time domain waveform of each electrical equipment of the switch cabinet within the set state perception cycle are counted and obtained, and compared with the current reference time domain waveform and voltage reference time domain waveform corresponding to each electrical equipment defined by the data perception platform, respectively, to obtain the overlap area of ​​the current time domain waveform and the overlap area of ​​the voltage time domain waveform of each electrical equipment of the switch cabinet within the state perception cycle; According to the current time domain waveform and voltage time domain waveform of each electrical device of the switch cabinet within the set state sensing cycle, the current pulse rise duration and voltage pulse rise duration of each electrical device of the switch cabinet within the state sensing cycle are obtained; According to the current reference time domain waveform and voltage reference time domain waveform corresponding to each electrical equipment defined by the data perception platform, the lowest current reference value, the highest current reference value, the lowest voltage reference value and the highest voltage reference value corresponding to each electrical equipment are obtained, and compared with the current time domain waveform and the voltage time domain waveform of each electrical equipment of the switchgear within the state perception cycle, respectively, to obtain the overcurrent operation segment duration, undercurrent operation segment duration, overvoltage operation segment duration and undervoltage operation segment duration of each electrical equipment of the switchgear within the state perception cycle.

4. The full-state intelligent monitoring and sensing system for a switch cabinet according to claim 3 is characterized in that: The specific analysis process of the partial discharge influence coefficient of the environmental monitoring status information is as follows: According to the environmental monitoring status information of the switch cabinet, the number of partial discharges of the switch cabinet in the set historical monitoring period is counted, thereby obtaining the discharge information of the switch cabinet under each partial discharge, including the maximum discharge amplitude, the total discharge power and the discharge duration; Divide the historical monitoring period into various monitoring time points, and obtain the ultrasonic frequency and gas concentration corresponding to each monitoring time point of the switch cabinet under each partial discharge; The discharge limit amplitude, discharge allowable power, discharge allowable duration, ultrasonic limit frequency and allowable concentration of each gas corresponding to the switch cabinet are extracted from the data perception platform.

5. The full-state intelligent monitoring and sensing system for a switch cabinet according to claim 3 is characterized in that: The electromagnetic field influence coefficient of the environmental monitoring status information is specifically analyzed as follows: The set state sensing cycle is divided into various sensing time points, and according to the environmental monitoring state information of the switch cabinet, the electric field strength, magnetic field strength and electromagnetic radiation frequency of each monitoring part of the switch cabinet at each sensing time point are counted and obtained; The electric field strength limit value, magnetic field strength limit value and electromagnetic radiation limit frequency corresponding to the switch cabinet are extracted from the data perception platform.

6. The full-state intelligent monitoring and sensing system for a switch cabinet according to claim 3 is characterized in that: The equipment operation abnormality index of the electrical equipment status information is calculated as follows: , in, ， In the formula, The equipment operation abnormality index is the electrical equipment status information. , and They are the operation weight coefficients corresponding to the set time domain waveform overlap area, pulse rise time duration, and abnormal operation section duration. , and They are the operation correction coefficients corresponding to the set time domain waveform overlap area, pulse rise time duration, and abnormal operation section duration. and are respectively the overlap area of ​​the current time domain waveform and the overlap area of ​​the voltage time domain waveform of the g-th electrical equipment in the switch cabinet during the state sensing cycle, and are respectively the current pulse rise duration and voltage pulse rise duration of the g-th electrical equipment in the switch cabinet within the state sensing cycle, , , and are respectively the duration of the overcurrent operation segment, the duration of the undercurrent operation segment, the duration of the overvoltage operation segment, and the duration of the undervoltage operation segment of the g-th electrical equipment in the switch cabinet during the state sensing cycle, and are the total area of ​​the current time domain waveform and the total area of ​​the voltage time domain waveform, respectively. is the duration of the state sensing cycle, g is the number of each electrical device, , u is the number of electrical equipment, and e is a natural constant.

7. The full-state intelligent monitoring and sensing system for a switch cabinet according to claim 4 is characterized in that: The insulation material impact index of the insulation material status information is calculated as follows: , In the formula, Insulation material impact index for insulation material status information, and are the contamination thickness and defect number of the i-th insulating material, is the area corresponding to the jth defect region of the i-th insulating material, and They are the allowable contamination thickness and defect definition area corresponding to the insulating material, is the impact factor corresponding to the set single defect area, and are the correction coefficients corresponding to the set contamination thickness and defect area, i is the number of each insulating material, , r is the amount of insulating material, j is the number of each defect area, , q is the number of defective areas.

8. The full-state intelligent monitoring and sensing system for a switch cabinet according to claim 4 is characterized in that: The partial discharge influence coefficient of the environmental monitoring status information is calculated as follows: , in, ， In the formula, is the partial discharge influence coefficient of the environmental monitoring status information, and are the impact weight coefficients corresponding to the set discharge information and the monitoring environment, and They are the set discharge information and the discharge correction coefficient corresponding to the monitoring environment. , and are the maximum discharge amplitude, total discharge power and discharge duration of the switch cabinet under the ath partial discharge, respectively. , and They are the discharge limit amplitude, discharge allowable power and discharge allowable duration corresponding to the switch cabinet. is the ultrasonic frequency corresponding to the bth monitoring time point of the switch cabinet under the ath partial discharge, is the cth gas concentration corresponding to the bth monitoring time point of the switch cabinet under the ath partial discharge, The ultrasonic frequency corresponding to the switch cabinet is defined. is the cth gas permissible concentration corresponding to the switch cabinet, a is the number of each partial discharge, , z is the number of partial discharges, b is the number of each monitoring time point, , y is the number of monitoring time points, c is the number of each gas, , x is the amount of gas, and e is a natural constant.

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