CN115733249A - Comprehensive diagnosis method and system for operating state of switch cabinet and handheld patrol instrument - Google Patents
Comprehensive diagnosis method and system for operating state of switch cabinet and handheld patrol instrument Download PDFInfo
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Abstract
The invention discloses a comprehensive diagnosis method and a comprehensive diagnosis system for the running state of a switch cabinet and a handheld patrol instrument, wherein the method comprises the following steps: acquiring diagnostic data of the switch cabinet in an operating state; wherein the diagnostic data includes temperature data, ultrasonic signals, voiceprint signals and noise signals; identifying the fault state according to the diagnosis data, and determining the grade corresponding to the fault state; and evaluating the health degree of the equipment according to the grade of the fault state to obtain an evaluation result of the health degree of the equipment. The invention can improve the efficiency of the operation maintenance and diagnosis of the switch cabinet.
Description
Technical Field
The invention relates to a comprehensive diagnosis method and a comprehensive diagnosis system for the running state of a switch cabinet and a handheld inspection instrument, and belongs to the technical field of inspection and diagnosis of power transmission and distribution equipment.
Background
The handheld appearance of patrolling and examining is a novel defeated change equipment "a portable removal appearance of patrolling and examining", is that the handheld terminal of patrolling and examining passes through modes such as USB, bluetooth, wifi and connect the smart mobile phone end, constitutes handheld appearance of patrolling and examining, carries out detection achievement to power equipment.
The handheld patrol inspection instrument can realize the functions of an infrared tester, a partial discharge tester, an ultrasonic tester, a temperature and humidity tester, a gyroscope, an accelerometer, a magnetometer, a satellite positioning module, a mobile communication module, a front camera, a rear camera, an infrared thermometer, an infrared scanner, an air pressure sensor, a signal laser lamp, a data memory and other instruments, and has the functions of visible double-vision photographing, visible double-vision video recording, strong light illumination, satellite positioning and RFID card reading.
The handheld inspection instrument is matched with an operation and maintenance inspection APP, inspection data are intelligently analyzed and intelligently alarmed through a terminal built-in system, field inspection detection data are shared with a national network PMS system in real time through an inspection special APP, and the communication mode comprises methods such as Bluetooth and 4G, WIFI. The inspection App is internally provided with various power equipment comprehensive diagnosis algorithms, the field measurement data automatically generate data analysis curves and maps, diagnosis results are obtained, diagnosis reports are generated through RFID label identification, and the diagnosis reports are uploaded to a background system.
In the prior art, in the aspects of a handheld inspection instrument and a handheld thermal infrared imager, such as a power supply equipment inspection method and system in patent CN113903098A, and an infrared inspection terminal, inspection task information is acquired through the inspection terminal, an inspection terminal is operated to shoot and acquire an equipment nameplate image according to the type, classification information and shooting position of power equipment, and a position infrared image is detected. Meanwhile, the temperature state of the power equipment is diagnosed through the inspection terminal, and diagnosis data are generated and stored.
In the prior art, a high-voltage switch cabinet fault diagnosis method, a device and a storage medium are disclosed in patent CN1139297922A in the aspects of voiceprint recognition technology, switch cabinet mechanical fault diagnosis and vibration signal monitoring technology. And (3) carrying out mechanical potential safety hazard diagnosis on the high-voltage switch cabinet based on sound signals acquired by the vibration sensor and the sound sensor through a convolutional neural network model.
In the prior art, in the aspect of the on-line monitoring technology of the switch cabinet, for example, in patent CN214706610U, a switch cabinet on-line monitoring device receives data of a current and voltage monitoring unit, a vibration monitoring unit, a temperature and humidity monitoring unit and an partial discharge monitoring unit through a PC terminal, and performs monitoring analysis by combining electric power and environmental parameters in different areas.
The prior art mainly has the following defects:
the analysis and diagnosis of the routing inspection work are difficult: the improvement of the quality of the current inspection personnel can not follow the increasingly complex operation and maintenance requirements of the functional structures of the power distribution station rooms, along with the construction development of urban areas, the number of the power distribution station rooms is more and more, the distribution is more and more wide, the devices inside are also more and more complex, the requirements on the number and the skills of the inspection personnel are also more and more high, a large amount of manpower and material resources are consumed, even the comprehensive inspection can not be performed for some time, and the potential safety hazard is remained.
The existing handheld patrol instrument comprises the following components: the RFID/PDA identified polling instrument, thermal infrared imager and the like have single functions and do not have a diagnosis function.
The existing on-line monitoring system of the high-voltage switch equipment has certain development in the aspects of temperature and partial discharge, and the diagnosis method in the aspect of combining voiceprint monitoring, particularly combining a handheld inspection instrument is lacked.
The existing high-voltage switch equipment is additionally provided with a sensor inside except for overhauling and maintenance and less chance of power failure after being put into operation.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, provides a comprehensive diagnosis method and system for the operation state of a switch cabinet and a handheld patrol instrument, and can improve the operation maintenance and diagnosis efficiency of the switch cabinet. In order to achieve the purpose, the invention is realized by adopting the following technical scheme:
in a first aspect, the present invention provides a method for comprehensively diagnosing an operating state of a switch cabinet, including:
acquiring diagnostic data of the switch cabinet in an operating state; wherein the diagnostic data includes temperature data, ultrasonic signals, voiceprint signals and noise signals;
identifying the fault state according to the diagnosis data, and determining the grade corresponding to the fault state;
and evaluating the health degree of the equipment according to the grade of the fault state to obtain an evaluation result of the health degree of the equipment.
With reference to the first aspect, further, the acquiring diagnostic data of the switch cabinet in the operating state includes:
the operating state of the switch cabinet comprises: the installation and the on-load operation are carried out,
for the switch cabinet which is installed in the running state, the installation process of the breaker of the switch cabinet equipment is checked and debugged by adopting auditory diagnosis of a handheld inspection instrument;
and for the switch cabinet with the on-load operation state, the diagnostic data acquisition is carried out on the switch cabinet by adopting the auditory diagnosis and the visual diagnosis of the handheld patrol instrument.
With reference to the first aspect, further, the auditory diagnosis includes: ultrasonic monitoring, vibration monitoring, and voiceprint monitoring;
the ultrasonic monitoring is used for outputting ultrasonic signals, and the ultrasonic signals are used for monitoring the discharge position and diagnosing the discharge type;
the vibration monitoring is used for diagnosing a mechanical vibration signal in the installation process of the switch cabinet equipment breaker;
the voiceprint monitoring is used for outputting a voiceprint signal and a noise signal, the voiceprint signal is used for establishing a voiceprint characteristic database, and the noise signal is used for carrying out noise identification.
With reference to the first aspect, further, the visual diagnosis includes: visible light video and infrared thermal imaging;
the visible light video is used for identifying an equipment nameplate, station and house information and an RFID label;
the infrared thermal imaging is used for outputting temperature data, and the temperature data comprises temperature displayed by the infrared thermal imaging and temperature values calculated by a non-intervention algorithm.
With reference to the first aspect, further, the ranking of the fault status includes:
grade I: the equipment status is diagnosed as normal; grade II: device status diagnostics as a concern;
grade III: diagnosing the equipment state as early warning; grade IV: the device status is diagnosed as an alarm.
And in combination with the first aspect, further, fault early warning is carried out on the peer level III, based on the current routing inspection record and the historical routing inspection record of the equipment, the fault early warning is carried out for multiple times in response to the switch cabinet, and hidden danger prediction is carried out according to the fault type.
With reference to the first aspect, further, the fault status identification according to the diagnostic data includes:
according to the temperature data, identifying a temperature threshold to obtain four conditions of 'normal', 'overheating attention', 'overheating early warning' and 'overheating alarm', wherein the grades corresponding to the fault states are grade I, grade II, grade III and grade IV respectively;
according to the ultrasonic signal and the noise signal, state recognition is carried out to obtain three conditions of 'no partial discharge', 'slight discharge' and 'obvious discharge', the levels corresponding to the fault states are respectively level I, level II and level III, and when the test value of the noise signal is more than 20dB, the level corresponding to the fault state is level IV;
and carrying out voiceprint recognition according to the voiceprint signal to obtain four states of normal equipment operation, partial discharge existence, noise and abnormal equipment operation, wherein the corresponding fault states are level I, level II, level III and level IV respectively.
With reference to the first aspect, further, the performing equipment health assessment according to the level of the fault state includes:
if the levels of the fault states corresponding to the diagnosis data are all levels I, the equipment health degree evaluation result is 'healthy';
if two or more of the levels of the fault state corresponding to the diagnosis data are level II and no level III or level IV, the evaluation result of the health degree of the equipment is sub-health;
if one of the levels of the fault states corresponding to the diagnosis data is level III or level IV, the evaluation result of the health degree of the equipment is 'fault hidden danger';
and if two or more of the levels of the fault states corresponding to the diagnosis data are level III or level IV, the evaluation result of the health degree of the equipment is the serious fault hidden danger.
In a second aspect, the present invention provides a comprehensive diagnosis system for an operation state of a switch cabinet, comprising:
an acquisition module: the system is used for acquiring diagnostic data of the switch cabinet in the running state; wherein the diagnostic data includes temperature data, ultrasonic signals, voiceprint signals and noise signals;
an identification module: the system is used for identifying the fault state according to the diagnosis data and determining the grade corresponding to the fault state;
an evaluation module: and the system is used for evaluating the health degree of the equipment according to the grade of the fault state to obtain an evaluation result of the health degree of the equipment.
In a third aspect, the invention provides a handheld patrol instrument, which comprises the comprehensive diagnosis system for the operation state of the switch cabinet in the second aspect.
Compared with the prior art, the comprehensive diagnosis method and system for the operating state of the switch cabinet and the handheld patrol instrument provided by the embodiment of the invention have the beneficial effects that:
the method comprises the steps of obtaining diagnostic data of the switch cabinet in the running state; wherein the diagnostic data includes temperature data, ultrasonic signals, voiceprint signals and noise signals; identifying the fault state according to the diagnosis data, and determining the grade corresponding to the fault state; the invention can obviously improve the efficiency of the operation, maintenance and diagnosis of the power equipment by the inspection comprehensive diagnosis method of the handheld inspection instrument in combination of vision and hearing. The reliability of routing inspection is improved through multifunctional monitoring of temperature, vibration, ultrasound and noise, and meanwhile, the equipment cost and the maintenance cost of routing inspection work are reduced;
according to the invention, the equipment health degree is evaluated according to the grade of the fault state, and an equipment health degree evaluation result is obtained; the invention combines the functions of routing inspection and comprehensive diagnosis, collects more abundant equipment information in real time, is more beneficial to adapting to the actual fault diagnosis requirement, can improve the defect detection rate, and practically improves the technical means and the working quality of routing inspection work.
Drawings
Fig. 1 is a flowchart of a comprehensive diagnosis method for an operating state of a switch cabinet according to embodiment 1 of the present invention;
fig. 2 is a functional structure diagram of a comprehensive diagnosis method for an operating state of a switch cabinet according to embodiment 1 of the present invention;
fig. 3 is a flowchart of visual diagnosis in a comprehensive diagnosis method for an operating state of a switch cabinet according to embodiment 1 of the present invention;
fig. 4 is a schematic diagram of a switch cabinet in a comprehensive diagnosis method of an operating state of the switch cabinet according to embodiment 1 of the present invention;
fig. 5 is a schematic diagram of image capture in a comprehensive diagnosis method of an operating state of a switch cabinet according to embodiment 1 of the present invention;
fig. 6 is a flowchart of vibration monitoring in a method for comprehensively diagnosing an operating state of a switch cabinet according to embodiment 1 of the present invention;
fig. 7 is a schematic diagram of vibration monitoring and collection in a comprehensive diagnosis method for an operating state of a switch cabinet according to embodiment 1 of the present invention;
fig. 8 is a flowchart of ultrasonic monitoring in the comprehensive diagnosis method for the operating state of the switch cabinet according to embodiment 1 of the present invention;
fig. 9 is a schematic diagram of ultrasonic monitoring and acquisition in a comprehensive diagnosis method of an operating state of a switch cabinet according to embodiment 1 of the present invention;
fig. 10 is a flowchart of voiceprint monitoring in a method for comprehensively diagnosing an operating state of a switch cabinet according to embodiment 1 of the present invention;
fig. 11 is a schematic diagram of voiceprint monitoring and acquisition in the comprehensive diagnosis method for the operating state of the switch cabinet according to embodiment 1 of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The first embodiment is as follows:
a comprehensive diagnosis method for the operation state of a switch cabinet carries out comprehensive diagnosis analysis on the operation state, the fault state, fault early warning, hidden danger prediction and health degree evaluation of the switch cabinet through information obtained by monitoring various functions to obtain a comprehensive diagnosis method result. As shown in fig. 1, the method specifically includes:
acquiring diagnostic data of the switch cabinet in an operating state; wherein the diagnostic data includes temperature data, ultrasonic signals, voiceprint signals and noise signals;
identifying the fault state according to the diagnosis data, and determining the grade corresponding to the fault state;
and evaluating the health degree of the equipment according to the grade of the fault state to obtain an evaluation result of the health degree of the equipment.
It should be noted that the temperature data, ultrasonic signal, voiceprint signal and noise signal are viewed at the hand-held polling device.
The method for acquiring the diagnostic data of the switch cabinet in the operating state comprises the following steps:
the operating state of the switch cabinet comprises: the installation and the on-load operation are carried out,
for the switch cabinet which is installed in the running state, the installation process of the breaker of the switch cabinet equipment is checked and debugged by adopting auditory diagnosis of a handheld inspection instrument;
and for the switch cabinet with the on-load operation state, the diagnostic data acquisition is carried out on the switch cabinet by adopting the auditory diagnosis and the visual diagnosis of the handheld patrol instrument.
The visual diagnosis includes: visible light video and infrared thermography. As shown in fig. 3, the flow of the visual diagnosis is: shooting in a picture capturing area as required, carrying out temperature diagnosis through a non-intervention method, and displaying temperature data and fault early warning by a handheld inspection instrument.
As shown in fig. 2, the visible light image is used to identify the device nameplate, the station information and the RFID tag, and the infrared thermal image is used to output temperature data, which includes the temperature displayed by the infrared thermal image and the temperature value calculated by the non-intrusive algorithm. The visible light video and the infrared thermal imaging can be displayed on the screen interface of the handheld patrol instrument at the same time.
The inspection process takes a photograph and captures a picture from the front position, the top position of the switch cabinet as shown in fig. 4. Shooting is carried out from the front face of the switch cabinet equipment, and the surface temperature of the switch cabinet equipment is monitored from the front face through a visible light image shooting identification device RFID label (the RFID label identification can generate nameplate information, station and room information, commissioning date, loading condition and monitoring history corresponding to the equipment) and an infrared thermal image. Shooting from the top of the switch cabinet equipment, mainly carrying out picture capture through an infrared camera, automatically locking a highest temperature point in a temperature measuring area through image identification, executing a non-intervention method in a patent number CN113794857A to carry out temperature diagnosis, and calculating a lumped heat source of the switch cabinet equipment.
Wherein, the picture capture needs to make the shot picture be covered in the display area of the screen of the handheld patrol instrument as shown in fig. 5.
As shown in fig. 2, the auditory diagnosis includes: ultrasonic monitoring, vibration monitoring, and acoustic fringe monitoring. The ultrasonic monitoring is used for outputting ultrasonic signals, and the ultrasonic signals are used for carrying out discharge position monitoring and discharge type diagnosis. Vibration monitoring is used to diagnose mechanical vibration signals during installation of a switchgear circuit breaker. The voiceprint monitoring is used for outputting a voiceprint signal and a noise signal, the voiceprint signal is used for establishing a voiceprint characteristic database, and the noise signal is used for carrying out noise identification.
As shown in fig. 6, the vibration monitoring process is as follows: arranging sensors according to requirements, wherein the sensors acquire vibration signals; the handheld polling instrument analyzes the vibration signal, responds to the abnormal signal in the vibration signal, inspects the switch cabinet and rearranges the sensors.
Specifically, vibration monitoring is applied in the circuit breaker mounting and dismounting process. Firstly, ambient noise is avoided, the portable patrol instrument is carried, the distance between a connected sound sensor and the inside is about 1m during measurement, and the position right in front of the sound sensor is the position of the side face of a handcart of the switch cabinet. During the installation, the acquisition process is carried out, namely, the handcart is pushed in to the circuit breaker to be charged and switched on, and the voiceprint acquisition is carried out in the complete circuit breaker installation process; during disassembly, the acquisition process is completely withdrawn from the opening of the breaker to the handcart, and the voiceprint acquisition is completed in the disassembly process of the breaker; the hand-held polling device is kept unmoved during the acquisition process, as shown in fig. 7. After the collection is finished, vibration signals are analyzed through vibration monitoring of the handheld inspection instrument, and when abnormal signals occur in the installation process, the opening brake is pushed out of the handcart to carry out equipment inspection, and the handcart is reinstalled after hidden dangers are eliminated.
As shown in fig. 8, the process of ultrasonic monitoring is as follows: the detection part and the sensor are coated with coupling agent, the handheld patrol instrument analyzes the ultrasonic signals, and the discharge type is judged by using ultrasonic diagnosis in response to abnormal signals in the ultrasonic signals.
As shown in fig. 9, which is a schematic view of ultrasonic monitoring acquisition, the smearing of the couplant can eliminate the air gap between the sensor and the housing to reduce signal attenuation, and at the same time, can reduce slight mechanical jitter noise caused by hand-held operation. The static state is maintained during the measurement.
Responding to abnormal signals in the ultrasonic signals, moving the position of the sensor to search for the maximum value of the signals, detecting possible discharge positions, and detecting pulses through an FFT accumulation graph and a phase detection mode graph function in the handheld polling instrument to judge the discharge type.
As shown in fig. 10, the flow of voiceprint monitoring is as follows: and acquiring a voiceprint signal of the detected part as required, calculating and analyzing the characteristic quantity of the voiceprint signal by the handheld patrol instrument, comparing the characteristic quantity with the characteristic quantity of the normal running state, and displaying the abnormality when the deviation exceeds the threshold range.
Specifically, sound information of the running state of the switch cabinet is collected through a handheld inspection instrument; and a handheld patrol instrument is used for acquiring voiceprint signals from two positions on the front side of the switch cabinet equipment and the middle of a pressure release window of the top busbar chamber, and the distance between the sensor and the switch cabinet equipment is kept about 0.2m, as shown in fig. 11. Wherein, the cubical switchboard running state is the on-load operating condition.
The handheld patrol instrument performs calculation processing on the voiceprint signal, and the process is as follows: preprocessing → MFCC analysis → feature parameter calculation → identification by comparison with the voiceprint database features.
In the preprocessing process, a short-time energy method is used for eliminating silence segments of the obtained sound data, namely a matlab tool is used for windowing through a Hanning window function, useful signals are enhanced, and the signal-to-noise ratio is improved.
And (3) performing MFCC analysis on the preprocessed sound fragment, namely performing fast Fourier transform on the preprocessed signal to obtain the frequency spectrum of each frame, and squaring to obtain the energy spectrum of the voice signal. The obtained energy spectrum is used for calculating the logarithm value of the energy spectrum through a Mel filter to obtain an MFCC coefficient, namely a characteristic parameter.
And (4) learning the characteristic quantity after extracting the MFCC characteristic parameters by using an LSTM neural network according to the working condition acquisition condition and storing the characteristic quantity into a voiceprint database.
A hierarchy of fault conditions comprising:
grade I: the equipment status is diagnosed as normal; grade II: device status diagnostics as a concern;
grade III: diagnosing the equipment state as early warning; grade IV: the device status is diagnosed as an alarm.
And identifying the fault state according to the diagnosis data, comprising the following steps:
according to the temperature data, the temperature threshold value identification is carried out, and four conditions of 'normal', 'overheating attention', 'overheating early warning' and 'overheating alarm' are obtained, wherein the grades corresponding to the fault states are grade I, grade II, grade III and grade IV respectively as shown in the table 1.
TABLE 1 temperature failure rating
| Infrared thermal imaging temperature | Non-intrusive calculation of temperature | State recognition | Grade |
| ＜51 | ＜80 | Is normal | Ⅰ |
| 51 | 80 | Overheating concerns | Ⅱ |
| 57 | 89 | Overheating warning | Ⅲ |
| 65 | 95 | Overheat alarm | Ⅳ |
According to the ultrasonic signal and the noise signal, state recognition is carried out to obtain three conditions of 'no partial discharge', 'slight discharge' and 'obvious discharge', the levels corresponding to the fault states are respectively level I, level II and level III, and when the test value of the noise signal is more than 20dB, the level corresponding to the fault state is level IV.
Specifically, no discharge sound exists, and the test value is below 0dB, which indicates that the equipment has no partial discharge and belongs to level I; the device has discharge sound, and the test value is below 0dB, which indicates that the device has slight discharge and belongs to level II; the device has discharge sound, and the test value is 2 dB-20 dB, which indicates that the device has obvious discharge and belongs to level III; the device has discharge sound, and the test value is more than 20dB, which indicates that the device has obvious discharge and belongs to the grade IV.
And carrying out voiceprint recognition according to the voiceprint signal, matching and comparing the voiceprint recognition with the characteristic quantity of the normal operation state of the switch cabinet, and carrying out fault early warning according to the similarity. 100% is full scale, 0 is lowest value; four states of 'normal operation of equipment', 'partial discharge existence', 'noise' and 'abnormal operation of equipment' are obtained, and the levels corresponding to the fault states are level I, level II, level III and level IV respectively as shown in Table 2.
TABLE 2 voiceprint recognition Fault Pre-Warning
| Degree of matching | Grade |
| Greater than or equal to 90 percent | Ⅰ |
| More than 70 percent and less than 90 percent | Ⅱ |
| More than 35% and less than 70% | Ⅲ |
| Less than 35 percent | Ⅳ |
Performing equipment health assessment according to the level of the fault condition, comprising:
if the levels of the fault states corresponding to the diagnosis data are all levels I, the equipment health degree evaluation result is 'healthy';
if two or more of the levels of the fault state corresponding to the diagnosis data are level II and no level III or level IV, the evaluation result of the health degree of the equipment is sub-health;
if one of the levels of the fault states corresponding to the diagnosis data is level III or level IV, the evaluation result of the health degree of the equipment is 'fault hidden danger';
and if two or more of the levels of the fault states corresponding to the diagnosis data are level III or level IV, the evaluation result of the health degree of the equipment is the serious fault hidden danger.
And the diagnosis result is automatically generated into a diagnosis report through a code scanning identification device label by the RFID technology and is uploaded to a background system.
According to the comprehensive diagnosis method combining the vision and the hearing through the handheld patrol instrument, the operation, maintenance and diagnosis efficiency of the power equipment can be remarkably improved. Through the multifunctional monitoring of temperature, vibration, supersound, noise, improved the reliability of patrolling and examining, reduced the equipment cost and the maintenance cost of patrolling and examining work simultaneously. The inspection and comprehensive diagnosis functions are combined, richer equipment information is collected in real time, the actual fault diagnosis requirements are met, the defect detection rate can be improved, and the technical means and the working quality of inspection work are practically improved.
Example two:
the embodiment of the invention provides a comprehensive diagnosis system for the running state of a switch cabinet, which comprises:
an acquisition module: the system is used for acquiring diagnostic data of the switch cabinet in the running state; wherein the diagnostic data includes temperature data, ultrasound signals, voiceprint signals and noise signals;
an identification module: the system is used for identifying the fault state according to the diagnostic data and determining the grade corresponding to the fault state;
an evaluation module: and the system is used for evaluating the health degree of the equipment according to the grade of the fault state to obtain an evaluation result of the health degree of the equipment.
Example three:
the embodiment of the invention provides a handheld patrol instrument, which comprises the comprehensive diagnosis system for the operating state of a switch cabinet.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.
Claims (10)
1. A comprehensive diagnosis method for the operation state of a switch cabinet is characterized by comprising the following steps:
acquiring diagnostic data of the switch cabinet in an operating state; wherein the diagnostic data includes temperature data, ultrasonic signals, voiceprint signals and noise signals;
identifying the fault state according to the diagnosis data, and determining the grade corresponding to the fault state;
and evaluating the health degree of the equipment according to the grade of the fault state to obtain an evaluation result of the health degree of the equipment.
2. The comprehensive diagnosis method for the operating state of the switch cabinet according to claim 1, wherein the acquiring of the diagnosis data of the operating state of the switch cabinet comprises:
the operating state of the switch cabinet comprises: the installation and the on-load operation are carried out,
for the switch cabinet which is installed in the running state, the installation process of the breaker of the switch cabinet equipment is checked and debugged by adopting auditory diagnosis of a handheld inspection instrument;
and for the switch cabinet with the on-load operation state, the diagnostic data acquisition is carried out on the switch cabinet by adopting the auditory diagnosis and the visual diagnosis of the handheld patrol instrument.
3. The comprehensive diagnostic method of the operating state of the switch cabinet according to claim 2, characterized in that the auditory diagnosis comprises: ultrasonic monitoring, vibration monitoring and voiceprint monitoring;
the ultrasonic monitoring is used for outputting ultrasonic signals, and the ultrasonic signals are used for monitoring the discharge position and diagnosing the discharge type;
the vibration monitoring is used for diagnosing a mechanical vibration signal in the installation process of the switch cabinet equipment breaker;
the voiceprint monitoring is used for outputting a voiceprint signal and a noise signal, the voiceprint signal is used for establishing a voiceprint characteristic database, and the noise signal is used for carrying out noise identification.
4. The comprehensive diagnosis method for the operating state of the switch cabinet according to claim 2, characterized in that the visual diagnosis comprises: visible light video and infrared thermal imaging;
the visible light video is used for identifying an equipment nameplate, station and house information and an RFID label;
the infrared thermal imaging is used for outputting temperature data, and the temperature data comprises temperature displayed by the infrared thermal imaging and temperature values calculated by a non-intrusive algorithm.
5. The method for comprehensively diagnosing the operating state of the switch cabinet according to claim 1, wherein the grade of the fault state comprises:
grade I: the equipment status is diagnosed as normal; grade II: device status diagnostics as a concern;
grade III: diagnosing the equipment state as early warning; grade IV: the device status is diagnosed as an alarm.
6. The comprehensive diagnosis method for the operating state of the switch cabinet according to claim 5, further comprising:
and carrying out fault early warning on the level III, responding to the multiple fault early warning of the switch cabinet based on the current patrol record and the equipment history patrol record, and predicting the hidden danger according to the fault type.
7. The comprehensive diagnosis method for the operating state of the switch cabinet according to claim 5, wherein the fault state identification is performed according to the diagnosis data, and comprises the following steps:
according to the temperature data, temperature threshold recognition is carried out to obtain four conditions of 'normal', 'overheating attention', 'overheating early warning' and 'overheating alarm', and the grades corresponding to the fault states are grade I, grade II, grade III and grade IV respectively;
according to the ultrasonic signal and the noise signal, state recognition is carried out to obtain three conditions of 'no partial discharge', 'slight discharge' and 'obvious discharge', the levels corresponding to the fault states are respectively level I, level II and level III, and when the test value of the noise signal is more than 20dB, the level corresponding to the fault state is level IV;
according to the voiceprint signal, voiceprint recognition is carried out to obtain four states of 'normal equipment operation', 'partial discharge exists', 'noise' and 'abnormal equipment operation', and the corresponding fault states are respectively level I, level II, level III and level IV.
8. The comprehensive diagnostic method for the operating state of the switch cabinet according to claim 7, wherein the equipment health assessment according to the grade of the fault state comprises:
if the levels of the fault states corresponding to the diagnosis data are all levels I, the equipment health degree evaluation result is 'healthy';
if two or more of the levels of the fault state corresponding to the diagnosis data are level II and no level III or level IV, the evaluation result of the health degree of the equipment is sub-health;
if one of the levels of the fault state corresponding to the diagnosis data is level III or level IV, the evaluation result of the health degree of the equipment is 'fault hidden danger';
and if two or more of the levels of the fault states corresponding to the diagnosis data are level III or level IV, the evaluation result of the health degree of the equipment is the serious fault hidden danger.
9. A comprehensive diagnostic system for the operating state of a switch cabinet, comprising:
an acquisition module: the system is used for acquiring diagnostic data of the switch cabinet in the running state; wherein the diagnostic data includes temperature data, ultrasound signals, voiceprint signals and noise signals;
an identification module: the system is used for identifying the fault state according to the diagnosis data and determining the grade corresponding to the fault state;
an evaluation module: and the method is used for evaluating the health degree of the equipment according to the grade of the fault state to obtain an evaluation result of the health degree of the equipment.
10. A hand-held polling device comprising a comprehensive diagnostic system of the operating state of a switchgear cabinet according to claim 9.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117369421A (en) * | 2023-11-28 | 2024-01-09 | 中通服和信科技有限公司 | Chemical production equipment fault diagnosis system based on big data |
| CN118604602A (en) * | 2024-07-01 | 2024-09-06 | 湖北工业大学 | A method for monitoring the operating status of electrical equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117369421A (en) * | 2023-11-28 | 2024-01-09 | 中通服和信科技有限公司 | Chemical production equipment fault diagnosis system based on big data |
| CN118604602A (en) * | 2024-07-01 | 2024-09-06 | 湖北工业大学 | A method for monitoring the operating status of electrical equipment |
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