CN110703075A - High-voltage circuit breaker quick overhaul method based on big data technology - Google Patents
High-voltage circuit breaker quick overhaul method based on big data technology Download PDFInfo
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Abstract
The invention relates to the technical field of power system maintenance, in particular to a high-voltage circuit breaker quick overhaul method based on a big data technology, which comprises the following steps: A) acquiring detection data of historical maintenance time of high-voltage circuit breakers of the same type; B) establishing a fault study and judgment model of the high-voltage circuit breaker; C) acquiring detection data of the high-voltage circuit breaker to be overhauled, inputting the high-voltage circuit breaker fault studying and judging model acquired in the step B), and taking the output of the high-voltage circuit breaker fault studying and judging model as a fault studying and judging result of the high-voltage circuit breaker to be overhauled; D) and if the high-voltage circuit breaker has a fault, carrying out corresponding maintenance, and otherwise, carrying out the maintenance of the next high-voltage circuit breaker. The substantial effects of the invention are as follows: the fault studying and judging efficiency and accuracy of detection data are greatly improved by establishing a high-voltage circuit breaker fault studying and judging model, meanwhile, the abnormity which is not obvious enough can be found in time, and operation and maintenance personnel are assisted to process in time.
Description
Technical Field
The invention relates to the technical field of power system maintenance, in particular to a high-voltage circuit breaker quick overhaul method based on a big data technology.
Background
With the development of society, the requirements of people on the safety and reliability of electricity utilization are higher and higher, a high-voltage circuit breaker plays a double task of control and protection in a power system, and the quality of the performance of the high-voltage circuit breaker is directly related to the safe operation of the power system. When a power system has a fault, the breaker serving as an important electric element receives switching-on and switching-off commands of relay protection and an automatic device, and the switching-on and switching-off actions are required to be executed at a millisecond speed so as to avoid the spread and expansion of accidents. The main structure of the high-voltage circuit breaker is mainly divided into a flow guiding part, an arc extinguishing part, an insulating part and an operating mechanism part. The main types of the high-voltage switch are divided into an oil circuit breaker, an air circuit breaker, a vacuum circuit breaker, a sulfur hexafluoride circuit breaker, a solid gas production circuit breaker and a magnetic blow-out circuit breaker according to arc extinguishing media. According to the research results of CIGRE and China electric academy of sciences, the mechanical fault accounts for nearly 37% of the faults of the switch equipment, so that the detection of the mechanical fault of the switch equipment is extremely necessary. However, the existing high-voltage circuit breaker detection method has the technical problems of low efficiency and inaccurate judgment of maintenance results.
For example, Chinese patent CN109507581A, published 2019, 3, 22, a wiring method for automatic detection of a high-voltage circuit breaker, relates to the technical field of circuit breaker detection, and aims at the problems of low efficiency, high workload, low safety and frequent influence of field interference of an electrical test of the circuit breaker, double-break circuit breakers are divided into groups according to A, B, C three phases, and each group is respectively provided with a public end and two breaks; connecting the public end with a corresponding high-voltage port of the detection host by using a high-voltage output line respectively; respectively connecting the fracture with a low-voltage port of a detection host machine by using a low-voltage output line; the control ends of the three-phase switching-closing coils of the double-break circuit breaker A, B, C are respectively connected to the coil control loop port of the detection host through circuit breaker control lines; the double-break circuit breaker A, B, C is respectively provided with a speed sensor and is connected to a detection host machine through a speed test line, and the like. But the technical problem of rapidly analyzing the detection data and obtaining the state of the high-voltage circuit breaker cannot be solved.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the technical problem of low efficiency of manually analyzing the detection data of the high-voltage circuit breaker is solved. A high-voltage circuit breaker fast overhaul method based on a big data technology with high analysis efficiency is provided.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: a high-voltage circuit breaker fast overhaul method based on big data technology comprises the following steps: A) acquiring detection data of historical maintenance time of high-voltage circuit breakers of the same type; B) the method comprises the steps of obtaining a plurality of high-voltage circuit breakers with faults and the same model, detecting to obtain detection data under corresponding faults, and establishing a fault study and judgment model of the high-voltage circuit breakers; C) acquiring detection data of the high-voltage circuit breaker to be overhauled, inputting the high-voltage circuit breaker fault studying and judging model acquired in the step B), and taking the output of the high-voltage circuit breaker fault studying and judging model as a fault studying and judging result of the high-voltage circuit breaker to be overhauled; D) and if the high-voltage circuit breaker has a fault, carrying out corresponding maintenance, and otherwise, carrying out the maintenance of the next high-voltage circuit breaker. The fault studying and judging efficiency and accuracy of detection data are greatly improved by establishing a high-voltage circuit breaker fault studying and judging model, meanwhile, the abnormity which is not obvious enough can be found in time, and operation and maintenance personnel are assisted to process in time.
Preferably, the detection data includes closing time, opening time, closing speed just, opening speed just, three-phase different degrees of synchronism, in-phase different degrees of synchronism, golden short time, no-current time, maximum speed of the movable contact, average speed of the movable contact, action time of the movable contact, bounce time, bounce times, bounce maximum amplitude, opening and closing stroke, current waveform curve in the opening and closing process, time-speed stroke dynamic curve in the opening and closing stroke of the movable contact, opening distance and contact resistance. By acquiring various data of the high-voltage circuit breaker, the state data of the high-voltage circuit breaker is more comprehensive, the accuracy of fault research and judgment is improved, and conditions are provided for discovering unobvious abnormal data.
Preferably, in the step B, the method for acquiring the same type of high-voltage circuit breaker with the fault comprises: B11) acquiring a high-voltage circuit breaker retired due to faults, wherein the high-voltage circuit breaker retired due to faults is a high-voltage circuit breaker which has damaged parts and cannot be reused; B12) the method comprises the steps of obtaining a running high-voltage circuit breaker with a bad state, decommissioning the high-voltage circuit breaker, and detecting the high-voltage circuit breaker for a plurality of times to obtain detection data under the bad state, wherein the detection data is used as bad detection data, and the high-voltage circuit breaker with the bad state is a high-voltage circuit breaker which has the bad state and can still be used continuously; B13) and acquiring a normal high-voltage circuit breaker, manually setting a bad state or fault, and detecting to acquire bad detection data or fault detection data. The high-voltage circuit breaker with the retired faults can be recycled, the cost is saved, meanwhile, fault data under the real environment can be obtained, the high-voltage circuit breaker running under the bad state is detected, the characteristics of the detection data under the bad state can be obtained, the detection data are used for analyzing the states of other high-voltage circuit breakers, and the characteristics of the detection data and the corresponding bad state or fault relevance can be stronger through artificially setting the bad state or fault.
Preferably, in step B13), the method for detecting the failure state or the malfunction by manually setting the failure state or the malfunction includes: B131) detecting the high-voltage circuit breaker for a plurality of times; B132) according to the maintenance requirement of the high-voltage circuit breaker, one maintenance requirement is selected in sequence to enable the high-voltage circuit breaker not to reach the standard, and after the electrified opening and closing action is carried out for a plurality of times, the detection is carried out for a plurality of times; B133) two maintenance requirements are sequentially selected to enable the maintenance requirements not to reach the standard, and after the electrified opening and closing actions are carried out for a plurality of times, the detection is carried out for a plurality of times; B134) and (3) rapidly cooling the high-voltage circuit breaker by using liquid nitrogen or dry ice, and performing mechanical characteristic tests for a plurality of times to obtain detection data of the mechanical characteristic tests. The fault is generated actively, so that fault data is collected, and the problem that a fault data sample is insufficient is solved effectively. And after the test is finished, the lubricating performance of the lubricant or the lubricating oil is recovered, so that the jamming fault type of the mechanical part can be simulated without damage, and the state data under the fault type can be obtained. Natural mechanical parts jam due to poor lubrication or the entry of dust particles.
Preferably, in step B, the method for establishing the fault study and judgment model of the high-voltage circuit breaker comprises: B21) acquiring all detection data and acquiring fault types corresponding to the detection data; B22) preprocessing the detection data, performing binarization processing on the detection data, and arranging sample data after binarization processing into a matrix; B23) constructing an image, wherein the size of an image pixel is the same as the number of rows and columns of a matrix, the value of a matrix element corresponding to the position of the image pixel is 1, the pixel is set to be black, the value of the matrix element corresponding to the position of the image pixel is 0, the pixel is set to be white, a sample portrait is obtained, and the sample portrait is associated with a fault type corresponding to detection data; B24) constructing a convolutional neural network model, training by using a sample portrait associated with a fault type, taking the trained convolutional neural network model as a fault studying and judging model, processing the detection data of the high-voltage circuit breaker to be studied and judged through the steps B22) to B23), inputting the processed detection data into the convolutional neural network model obtained in the step, and taking the output of the convolutional neural network model as a fault studying and judging result of the high-voltage circuit breaker to be studied and judged. By carrying out normalization processing on the sample data, the convergence speed of the fault evaluation model can be increased, the establishment efficiency of the fault evaluation model is increased, and the accuracy of the fault evaluation model is improved. The data characteristics of the high-voltage circuit breaker are reflected by constructing images, and different fault types can be well identified through the convolutional neural network.
Preferably, in step B22), the method of binarizing the detected data includes the steps of: B221) carrying out segmentation processing on the numerical value in all the detection data, and converting the numerical value into a state quantity by taking a segmentation interval as a name; B222) converting state quantities in all detection data into Boolean quantities, and respectively representing false and true by using {0,1 }; B223) taking the Boolean quantity of all the processed detection data as a numerical value, calculating an average value, rounding the obtained average value into an integer, and taking the obtained integer as the Boolean quantity again; B224) the boolean quantity result obtained in step B223) is taken as a binarization processing result of the detection data. The data can be simplified through binarization, and the training efficiency of the neural network can be improved.
Preferably, in step B21), the detection data includes detection data of the high-voltage circuit breaker in a normal operating state, and the detection data of the high-voltage circuit breaker in the normal operating state corresponds to a fault type being no fault.
Preferably, in the step B), a non-contact displacement sensor is installed on each mechanical moving part of the normal high-voltage circuit breaker, the switching-on and switching-off test is continuously repeated on the high-voltage circuit breaker under the condition of power failure until the mechanical part of the high-voltage circuit breaker is damaged, the switching-on and switching-off times N in the test process and displacement data of each mechanical moving part in the switching-on and switching-off process are recorded as historical displacement data; in the step C), a non-contact displacement sensor is arranged on each mechanical motion part of the high-voltage circuit breaker to be researched and judged, the high-voltage circuit breaker to be researched and judged is subjected to one-time switching on and off, displacement data measured by the non-contact displacement sensors are obtained, the displacement data are compared with historical displacement data, the switching on and off test times N corresponding to the closest historical displacement data are obtained, and the (N-N) is used as the residual service life of the high-voltage circuit breaker to be researched and judged.
Preferably, the non-contact displacement sensor comprises a laser emitter, a current-limiting resistor, a photoresistor, a power supply module, a reflective sticker, a voltage sensor and a communication module, wherein the laser emitter is fixedly installed in a shell of the high-voltage circuit breaker and is aligned with an alignment point on the outer surface of the mechanical motion component along a normal direction, an included angle is formed between emergent light of the laser emitter and the normal direction of the outer surface of the mechanical motion component through adjustment, in the stroke of the mechanical motion component, the alignment point of the laser emitter moves along the outer surface of the mechanical motion component to form a moving range, the reflective sticker is attached to the mechanical motion component and covers the moving range of the alignment point, the reflective sticker is provided with a plurality of high reflection areas which are arranged at equal intervals along the stroke of the mechanical motion component, a low reflection area is arranged between adjacent high reflection areas, the width of the high reflection area is equal to that of, the photoresistor is installed and the other side that laser emitter is symmetrical about the outer surface normal of mechanical motion part, and photoresistor one end ground connection, the other end passes through current-limiting resistor and is connected with power module, and voltage sensor gathers the voltage of photoresistor and current-limiting resistor tie point, and voltage sensor is connected with communication module.
Alternatively, step B), a non-contact displacement sensor is mounted on each mechanical moving part of the normal high-voltage circuit breaker; according to the maintenance requirements of the high-voltage circuit breaker, one maintenance requirement is selected in sequence to enable the high-voltage circuit breaker not to reach the standard, and the opening and closing tests are continuously repeated on the high-voltage circuit breaker under the power-off condition until mechanical parts of the high-voltage circuit breaker are damaged; recording displacement data of each mechanical motion part in the opening and closing process in the test process, associating corresponding faults with corresponding maintenance requirements which do not reach the standard, repairing the high-voltage circuit breaker, and performing a next test with the maintenance requirements which do not reach the standard; in the step C), a non-contact displacement sensor is arranged on each mechanical motion part of the high-voltage circuit breaker to be judged, the high-voltage circuit breaker to be judged is switched on and off once to obtain displacement data measured by the non-contact displacement sensor, the displacement data measured by the non-contact displacement sensor of the high-voltage circuit breaker to be judged is compared with historical displacement data to obtain the switching-on and switching-off test times N corresponding to the closest historical displacement data, and the (N-N) is used as the residual service life of the high-voltage circuit breaker to be judged.
Alternatively, step B), a non-contact displacement sensor is mounted on each mechanical moving part of the normal high-voltage circuit breaker; according to the maintenance requirements of the high-voltage circuit breaker, two maintenance requirements are sequentially selected to enable the high-voltage circuit breaker not to reach the standard, and the opening and closing tests are continuously repeated on the high-voltage circuit breaker under the power-off condition until mechanical parts of the high-voltage circuit breaker are damaged; recording displacement data of each mechanical moving part in the opening and closing process in the test process, associating corresponding faults with corresponding maintenance requirements which do not reach the standard, repairing the high-voltage circuit breaker, and performing the next test with two maintenance requirements which do not reach the standard until all pairwise combinations with maintenance requirements which do not reach the standard are traversed; in the step C), a non-contact displacement sensor is arranged on each mechanical motion part of the high-voltage circuit breaker to be judged, the high-voltage circuit breaker to be judged is switched on and off once to obtain displacement data measured by the non-contact displacement sensor, the displacement data measured by the non-contact displacement sensor of the high-voltage circuit breaker to be judged is compared with historical displacement data to obtain the switching-on and switching-off test times N corresponding to the closest historical displacement data, and the (N-N) is used as the residual service life of the high-voltage circuit breaker to be judged.
The substantial effects of the invention are as follows: the fault studying and judging efficiency and accuracy of detection data are greatly improved by establishing a high-voltage circuit breaker fault studying and judging model, meanwhile, the abnormality which is not obvious enough can be found in time, and operation and maintenance personnel are assisted to process in time; through data normalization processing, the training efficiency of the fault studying and judging model is improved; by actively setting a fault source, the technical problem of small quantity of detection data samples under the fault can be solved, the detection data and the fault have relevance, and the accuracy of fault analysis is improved.
Drawings
FIG. 1 is a flow diagram of an embodiment.
Fig. 2 is a flow chart of a method for acquiring a failed high-voltage circuit breaker according to an embodiment.
Fig. 3 is a flowchart of a method for establishing a fault study model of a high-voltage circuit breaker according to an embodiment.
Fig. 4 is a schematic structural diagram of a non-contact displacement sensor according to an embodiment.
Fig. 5 and 6 are schematic diagrams illustrating a non-contact displacement sensor according to an embodiment of the present invention.
Wherein: 1. the device comprises a linear reflection sticker, 2, a laser emitter, 3, a cylindrical surface reflection sticker, 4, a cam, 5, a cylindrical end surface reflection sticker, 6, a moving part, 7, an alignment dot track, 8, an arc reflection sticker, 100, a voltage sensor, 200 and a communication module.
Detailed Description
The following provides a more detailed description of the present invention, with reference to the accompanying drawings.
The first embodiment is as follows:
a high-voltage circuit breaker fast overhaul method based on big data technology is disclosed, as shown in figure 1, and comprises the following steps: A) and acquiring detection data of historical maintenance of the high-voltage circuit breakers of the same type. The detection data comprises closing time, opening time, closing speed, opening speed, three-phase different degrees, same-phase different degrees, golden short time, no-current time, maximum speed of the moving contact, average speed of the moving contact, action time of the moving contact, bounce time, bounce times, maximum bounce amplitude, opening and closing stroke, current waveform curve of the opening and closing process, dynamic curve of time speed stroke in the opening and closing stroke of the moving contact, opening distance and contact resistance. By acquiring various data of the high-voltage circuit breaker, the state data of the high-voltage circuit breaker is more comprehensive, the accuracy of fault research and judgment is improved, and conditions are provided for discovering unobvious abnormal data.
B) The method comprises the steps of obtaining a plurality of high-voltage circuit breakers with faults and the same model, detecting to obtain detection data under the corresponding faults, and establishing a fault study and judgment model of the high-voltage circuit breakers. As shown in fig. 2, the method for acquiring the same type of high-voltage circuit breaker with a fault comprises the following steps: B11) acquiring a high-voltage circuit breaker retired due to faults, wherein the high-voltage circuit breaker retired due to faults is a high-voltage circuit breaker which has damaged parts and cannot be reused; B12) the method comprises the steps of obtaining a running high-voltage circuit breaker with a bad state, decommissioning the high-voltage circuit breaker, detecting the high-voltage circuit breaker for a plurality of times, obtaining detection data under the bad state, using the detection data as bad detection data, and enabling the high-voltage circuit breaker with the bad state to be a high-voltage circuit breaker which has the bad state and can still be used continuously; B13) and acquiring a normal high-voltage circuit breaker, manually setting a bad state or fault, and detecting to acquire bad detection data or fault detection data. The high-voltage circuit breaker with the retired faults can be recycled, the cost is saved, meanwhile, fault data under the real environment can be obtained, the high-voltage circuit breaker running under the bad state is detected, the characteristics of the detection data under the bad state can be obtained, the detection data are used for analyzing the states of other high-voltage circuit breakers, and the characteristics of the detection data and the corresponding bad state or fault relevance can be stronger through artificially setting the bad state or fault.
In step B13), the method for manually setting a failure state or a failure and detecting the failure state or the failure includes: B131) detecting the high-voltage circuit breaker for a plurality of times; B132) according to the maintenance requirement of the high-voltage circuit breaker, one maintenance requirement is selected in sequence to enable the high-voltage circuit breaker not to reach the standard, and after the electrified opening and closing action is carried out for a plurality of times, the detection is carried out for a plurality of times; B133) two maintenance requirements are sequentially selected to enable the maintenance requirements not to reach the standard, and after the electrified opening and closing actions are carried out for a plurality of times, the detection is carried out for a plurality of times; B134) and (3) rapidly cooling the high-voltage circuit breaker by using liquid nitrogen or dry ice, and performing mechanical characteristic tests for a plurality of times to obtain detection data of the mechanical characteristic tests. The fault is generated actively, so that fault data is collected, and the problem that a fault data sample is insufficient is solved effectively. And after the test is finished, the lubricating performance of the lubricant or the lubricating oil is recovered, so that the jamming fault type of the mechanical part can be simulated without damage, and the state data under the fault type can be obtained. Natural mechanical parts jam due to poor lubrication or the entry of dust particles.
As shown in fig. 3, in step B, the method for establishing the fault study and judgment model of the high-voltage circuit breaker includes: B21) acquiring all detection data and acquiring fault types corresponding to the detection data; B22) preprocessing the detection data, performing binarization processing on the detection data, and arranging sample data after binarization processing into a matrix; B23) constructing an image, wherein the size of an image pixel is the same as the number of rows and columns of a matrix, the value of a matrix element corresponding to the position of the image pixel is 1, the pixel is set to be black, the value of the matrix element corresponding to the position of the image pixel is 0, the pixel is set to be white, a sample portrait is obtained, and the sample portrait is associated with a fault type corresponding to detection data; B24) constructing a convolutional neural network model, training by using a sample portrait associated with a fault type, taking the trained convolutional neural network model as a fault studying and judging model, processing the detection data of the high-voltage circuit breaker to be studied and judged through the steps B22) to B23), inputting the processed detection data into the convolutional neural network model obtained in the step, and taking the output of the convolutional neural network model as a fault studying and judging result of the high-voltage circuit breaker to be studied and judged. By carrying out normalization processing on the sample data, the convergence speed of the fault evaluation model can be increased, the establishment efficiency of the fault evaluation model is increased, and the accuracy of the fault evaluation model is improved. The data characteristics of the high-voltage circuit breaker are reflected by constructing images, and different fault types can be well identified through the convolutional neural network.
In step B22), the method of binarizing the detected data includes the steps of: B221) carrying out segmentation processing on the numerical value in all the detection data, and converting the numerical value into a state quantity by taking a segmentation interval as a name; B222) converting state quantities in all detection data into Boolean quantities, and respectively representing false and true by using {0,1 }; B223) taking the Boolean quantity of all the processed detection data as a numerical value, calculating an average value, rounding the obtained average value into an integer, and taking the obtained integer as the Boolean quantity again; B224) the boolean quantity result obtained in step B223) is taken as a binarization processing result of the detection data. The data can be simplified through binarization, and the training efficiency of the neural network can be improved. In the step B21), the detection data includes detection data of the high-voltage circuit breaker in the normal operating state, and the detection data of the high-voltage circuit breaker in the normal operating state corresponds to a fault type being no fault. In the step B), a non-contact displacement sensor is arranged on each mechanical moving part of the normal high-voltage circuit breaker, the opening and closing test is continuously repeated on the high-voltage circuit breaker under the condition of power failure until the mechanical part of the high-voltage circuit breaker is damaged, the opening and closing times N in the test process and the displacement data of each mechanical moving part in the opening and closing process are recorded as historical displacement data.
As shown in fig. 4, the non-contact displacement sensor includes a laser emitter 2, a current limiting resistor, a photo resistor, a power supply module, a reflective sticker, a voltage sensor 100 and a communication module 200, the laser emitter 2 is fixedly installed in a housing of the high voltage circuit breaker, and is aligned with an alignment point on an outer surface of the mechanical motion component 6 in a normal direction, an angle is formed between an emergent light of the laser emitter 2 and the normal direction of the outer surface of the mechanical motion component 6 by adjustment, in a stroke of the mechanical motion component 6, the alignment point of the laser emitter 2 moves along the outer surface of the mechanical motion component 6 to form a moving range, the reflective sticker is attached to the mechanical motion component 6 and covers the moving range of the alignment point, the reflective sticker has a plurality of high reflection areas arranged at equal intervals along the stroke of the mechanical motion component 6, a low reflection area is arranged between adjacent high reflection areas, and, the diameter of the light spot of the laser emitter 2 is equal to integral multiple of the interval width, the photoresistor is arranged on the other side of the laser emitter 2 which is symmetrical with the outer surface of the mechanical motion part 6 in the normal direction, one end of the photoresistor is grounded, the other end of the photoresistor is connected with the power supply module through the current-limiting resistor, the voltage sensor 100 collects the voltage of the connecting point of the photoresistor and the current-limiting resistor, and the voltage sensor 100 is connected with the communication. Fig. 4 shows a linear reflective sticker 1, in which a mechanical moving part 6 to be detected moves linearly, such as a moving contact, an unlocking lock catch, and the like. As shown in fig. 5, when the non-contact displacement detection of the displacement is performed on the rotating member, such as the shaft and the cam 4, the cylindrical reflective sticker 3 may be attached to the outer surface of the shaft or the equal radius arc portion of the cam 4, so as to avoid the blurring of the picture, and the distance between the high reflection area and the low reflection area in the figure is distorted to some extent. When the arc portion of the cam 4 with the same radius is also the working surface, the cylindrical end surface reflection sticker 5 may be attached to the end surface of the cam 4. As shown in fig. 6, when the moving component 6 to be detected has a complex planar motion, that is, both a translational motion and a rotational motion are involved, a suitable alignment point is selected on the moving component 6 to be detected, so that the alignment point is always on the moving component 6 during the stroke of the moving component 6, the alignment point track 7 will be an arc, a suitable arc-shaped reflective sticker 8 is attached, the arc-shaped reflective sticker 8 is provided with high-reflection areas and low-reflection areas at intervals along the arc, and the edges of the high-reflection areas and the low-reflection areas are perpendicular to the arc at the corresponding position. The present embodiment provides an implementation of a non-contact displacement sensor, which is well known in the art for detecting vibration and displacement, and those skilled in the art can design other types of non-contact displacement sensors to perform displacement detection.
C) And B), acquiring detection data of the high-voltage circuit breaker to be overhauled, inputting the high-voltage circuit breaker fault studying and judging model acquired in the step B), and taking the output of the high-voltage circuit breaker fault studying and judging model as a fault studying and judging result of the high-voltage circuit breaker to be overhauled. And (2) mounting a non-contact displacement sensor on each mechanical motion part of the high-voltage circuit breaker to be researched, performing one-time switching on and off on the high-voltage circuit breaker to be researched to obtain displacement data measured by the non-contact displacement sensor, comparing the displacement data with historical displacement data to obtain the switching on and off test times N corresponding to the closest historical displacement data, and taking (N-N) as the residual service life of the high-voltage circuit breaker to be researched.
D) And if the high-voltage circuit breaker has a fault, carrying out corresponding maintenance, and otherwise, carrying out the maintenance of the next high-voltage circuit breaker. The fault studying and judging efficiency and accuracy of detection data are greatly improved by establishing a high-voltage circuit breaker fault studying and judging model, meanwhile, the abnormity which is not obvious enough can be found in time, and operation and maintenance personnel are assisted to process in time.
Example two:
the embodiment is further improved on the basis of the first embodiment, and specifically includes: in the step B), a non-contact displacement sensor is arranged on each mechanical moving part of the normal high-voltage circuit breaker; according to the maintenance requirements of the high-voltage circuit breaker, one maintenance requirement is selected in sequence to enable the high-voltage circuit breaker not to reach the standard, and the opening and closing tests are continuously repeated on the high-voltage circuit breaker under the power-off condition until mechanical parts of the high-voltage circuit breaker are damaged; recording displacement data of each mechanical motion part in the opening and closing process in the test process, associating corresponding faults with corresponding maintenance requirements which do not reach the standard, repairing the high-voltage circuit breaker, and performing a next test with the maintenance requirements which do not reach the standard; in the step C), a non-contact displacement sensor is arranged on each mechanical motion part of the high-voltage circuit breaker to be judged, the high-voltage circuit breaker to be judged is switched on and off once to obtain displacement data measured by the non-contact displacement sensor, the displacement data measured by the non-contact displacement sensor of the high-voltage circuit breaker to be judged is compared with historical displacement data to obtain the switching-on and switching-off test times N corresponding to the closest historical displacement data, and the (N-N) is used as the residual service life of the high-voltage circuit breaker to be judged. The rest steps are the same as the first embodiment.
Example three:
the embodiment is further improved on the basis of the first embodiment, and specifically includes: in the step B), a non-contact displacement sensor is arranged on each mechanical moving part of the normal high-voltage circuit breaker; according to the maintenance requirements of the high-voltage circuit breaker, two maintenance requirements are sequentially selected to enable the high-voltage circuit breaker not to reach the standard, and the opening and closing tests are continuously repeated on the high-voltage circuit breaker under the power-off condition until mechanical parts of the high-voltage circuit breaker are damaged; recording displacement data of each mechanical moving part in the opening and closing process in the test process, associating corresponding faults with corresponding maintenance requirements which do not reach the standard, repairing the high-voltage circuit breaker, and performing the next test with two maintenance requirements which do not reach the standard until all pairwise combinations with maintenance requirements which do not reach the standard are traversed; in the step C), a non-contact displacement sensor is arranged on each mechanical motion part of the high-voltage circuit breaker to be judged, the high-voltage circuit breaker to be judged is switched on and off once to obtain displacement data measured by the non-contact displacement sensor, the displacement data measured by the non-contact displacement sensor of the high-voltage circuit breaker to be judged is compared with historical displacement data to obtain the switching-on and switching-off test times N corresponding to the closest historical displacement data, and the (N-N) is used as the residual service life of the high-voltage circuit breaker to be judged. The rest steps are the same as the first embodiment.
The above-described embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention in any way, and other variations and modifications may be made without departing from the spirit of the invention as set forth in the claims.
Claims (10)
1. A high-voltage circuit breaker fast overhaul method based on big data technology is characterized in that,
the method comprises the following steps:
A) acquiring detection data of historical maintenance time of high-voltage circuit breakers of the same type;
B) the method comprises the steps of obtaining a plurality of high-voltage circuit breakers with faults and the same model, detecting to obtain detection data under corresponding faults, and establishing a fault study and judgment model of the high-voltage circuit breakers;
C) acquiring detection data of the high-voltage circuit breaker to be overhauled, inputting the high-voltage circuit breaker fault studying and judging model acquired in the step B), and taking the output of the high-voltage circuit breaker fault studying and judging model as a fault studying and judging result of the high-voltage circuit breaker to be overhauled;
D) and if the high-voltage circuit breaker has a fault, carrying out corresponding maintenance, and otherwise, carrying out the maintenance of the next high-voltage circuit breaker.
2. The fast overhaul method of the high-voltage circuit breaker based on the big data technology as claimed in claim 1, wherein the detection data includes closing time, opening time, closing just speed, opening just speed, three-phase different degrees, same-phase different degrees, golden short time, no-current time, maximum speed of the moving contact, average speed of the moving contact, action time of the moving contact, bounce time, bounce times, bounce maximum amplitude, opening and closing stroke, current waveform curve of the opening and closing process, dynamic curve of time speed stroke within the opening and closing stroke of the moving contact, opening distance and contact resistance.
3. The fast overhaul method of the high voltage circuit breaker based on big data technology as claimed in claim 1 or 2, wherein in step B, the method of obtaining the same type of high voltage circuit breaker with fault comprises:
B11) acquiring a high-voltage circuit breaker retired due to faults, wherein the high-voltage circuit breaker retired due to faults is a high-voltage circuit breaker which has damaged parts and cannot be reused;
B12) the method comprises the steps of obtaining a running high-voltage circuit breaker with a bad state, decommissioning the high-voltage circuit breaker, and detecting the high-voltage circuit breaker for a plurality of times to obtain detection data under the bad state, wherein the detection data is used as bad detection data, and the high-voltage circuit breaker with the bad state is a high-voltage circuit breaker which has the bad state and can still be used continuously;
B13) and acquiring a normal high-voltage circuit breaker, manually setting a bad state or fault, and detecting to acquire bad detection data or fault detection data.
4. The fast overhaul method of the high voltage circuit breaker based on big data technology as claimed in claim 3, wherein in step B13), the method for manually setting and detecting the bad state or fault comprises:
B131) detecting the high-voltage circuit breaker for a plurality of times;
B132) according to the maintenance requirement of the high-voltage circuit breaker, one maintenance requirement is selected in sequence to enable the high-voltage circuit breaker not to reach the standard, and after the electrified opening and closing action is carried out for a plurality of times, the detection is carried out for a plurality of times;
B133) two maintenance requirements are sequentially selected to enable the maintenance requirements not to reach the standard, and after the electrified opening and closing actions are carried out for a plurality of times, the detection is carried out for a plurality of times; B134) and (3) rapidly cooling the high-voltage circuit breaker by using liquid nitrogen or dry ice, and performing mechanical characteristic tests for a plurality of times to obtain detection data of the mechanical characteristic tests.
5. The fast overhaul method of the high voltage circuit breaker based on big data technology as claimed in claim 4, wherein in step B, the method for establishing the fault study and judgment model of the high voltage circuit breaker comprises:
B21) acquiring all detection data and acquiring fault types corresponding to the detection data;
B22) preprocessing the detection data, performing binarization processing on the detection data, and arranging sample data after binarization processing into a matrix;
B23) constructing an image, wherein the size of an image pixel is the same as the number of rows and columns of a matrix, the value of a matrix element corresponding to the position of the image pixel is 1, the pixel is set to be black, the value of the matrix element corresponding to the position of the image pixel is 0, the pixel is set to be white, a sample portrait is obtained, and the sample portrait is associated with a fault type corresponding to detection data;
B24) constructing a convolutional neural network model, training by using a sample portrait associated with a fault type, taking the trained convolutional neural network model as a fault studying and judging model, processing the detection data of the high-voltage circuit breaker to be studied and judged through the steps B22) to B23), inputting the processed detection data into the convolutional neural network model obtained in the step, and taking the output of the convolutional neural network model as a fault studying and judging result of the high-voltage circuit breaker to be studied and judged.
6. The fast overhaul method of the high voltage circuit breaker based on the big data technology as claimed in claim 5, wherein in step B22), the method for performing binarization processing on the detection data comprises the following steps:
B221) carrying out segmentation processing on the numerical value in all the detection data, and converting the numerical value into a state quantity by taking a segmentation interval as a name;
B222) converting state quantities in all detection data into Boolean quantities, and respectively representing false and true by using {0,1 };
B223) taking the Boolean quantity of all the processed detection data as a numerical value, calculating an average value, rounding the obtained average value into an integer, and taking the obtained integer as the Boolean quantity again;
B224) the boolean quantity result obtained in step B223) is taken as a binarization processing result of the detection data.
7. The fast overhaul method for the high voltage circuit breaker based on the big data technology as claimed in claim 5, wherein in step B21), the detection data comprises detection data of the high voltage circuit breaker in a normal operating state, and the detection data of the high voltage circuit breaker in the normal operating state corresponds to a fault type being no fault.
8. The fast overhaul method of the high-voltage circuit breaker based on the big data technology as claimed in claim 7, characterized in that in step B), each mechanical moving part of the normal high-voltage circuit breaker is provided with a non-contact displacement sensor, the switching-on and switching-off test of the high-voltage circuit breaker is repeated continuously under the condition of power failure until the mechanical part of the high-voltage circuit breaker is damaged, the switching-on and switching-off times N in the test process and the displacement data of each mechanical moving part in the switching-on and switching-off process are recorded as historical displacement data;
in the step C), a non-contact displacement sensor is arranged on each mechanical motion part of the high-voltage circuit breaker to be researched and judged, the high-voltage circuit breaker to be researched and judged is subjected to one-time switching on and off, displacement data measured by the non-contact displacement sensors are obtained, the displacement data are compared with historical displacement data, the switching on and off test times N corresponding to the closest historical displacement data are obtained, and the (N-N) is used as the residual service life of the high-voltage circuit breaker to be researched and judged.
9. The fast overhaul method of the high voltage circuit breaker based on big data technology as claimed in claim 7, wherein in step B), each mechanical moving part of the normal high voltage circuit breaker is installed with a non-contact displacement sensor; according to the maintenance requirements of the high-voltage circuit breaker, one maintenance requirement is selected in sequence to enable the high-voltage circuit breaker not to reach the standard, and the opening and closing tests are continuously repeated on the high-voltage circuit breaker under the power-off condition until mechanical parts of the high-voltage circuit breaker are damaged; recording displacement data of each mechanical motion part in the opening and closing process in the test process, associating corresponding faults with corresponding maintenance requirements which do not reach the standard, repairing the high-voltage circuit breaker, and performing a next test with the maintenance requirements which do not reach the standard;
in the step C), a non-contact displacement sensor is arranged on each mechanical motion part of the high-voltage circuit breaker to be judged, the high-voltage circuit breaker to be judged is switched on and off once to obtain displacement data measured by the non-contact displacement sensor, the displacement data measured by the non-contact displacement sensor of the high-voltage circuit breaker to be judged is compared with historical displacement data to obtain the switching-on and switching-off test times N corresponding to the closest historical displacement data, and the (N-N) is used as the residual service life of the high-voltage circuit breaker to be judged.
10. The fast overhaul method of the high voltage circuit breaker based on big data technology as claimed in claim 7, wherein in step B), each mechanical moving part of the normal high voltage circuit breaker is installed with a non-contact displacement sensor; according to the maintenance requirements of the high-voltage circuit breaker, two maintenance requirements are sequentially selected to enable the high-voltage circuit breaker not to reach the standard, and the opening and closing tests are continuously repeated on the high-voltage circuit breaker under the power-off condition until mechanical parts of the high-voltage circuit breaker are damaged; recording displacement data of each mechanical moving part in the opening and closing process in the test process, associating corresponding faults with corresponding maintenance requirements which do not reach the standard, repairing the high-voltage circuit breaker, and performing the next test with two maintenance requirements which do not reach the standard until all pairwise combinations with maintenance requirements which do not reach the standard are traversed;
in the step C), a non-contact displacement sensor is arranged on each mechanical motion part of the high-voltage circuit breaker to be judged, the high-voltage circuit breaker to be judged is switched on and off once to obtain displacement data measured by the non-contact displacement sensor, the displacement data measured by the non-contact displacement sensor of the high-voltage circuit breaker to be judged is compared with historical displacement data to obtain the switching-on and switching-off test times N corresponding to the closest historical displacement data, and the (N-N) is used as the residual service life of the high-voltage circuit breaker to be judged.
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