Coil detection method, identification device, system, computer device and medium

Abstract

The application discloses a kind of coil detection method, identification device, system, computer equipment and medium, including switching-on and switching-off coil and voltage transformer, switching-on and switching-off coil is connected with external power supply, the test end of voltage transformer is connected at switching-on and switching-off coil two ends, the power supply end of voltage transformer is connected with the external power supply, in addition voltage transformer is also connected with background gateway wireless, the background gateway is also connected with background system, the present application is generated by the above method, corresponding state characteristic curve is generated, and whether the switching-on and switching-off coil appears fault is judged according to the state characteristic curve, without switching-on and switching-off coil and external high-voltage circuit breaker is powered off, whether the switching-on and switching-off coil appears fault is identified, the problem that existing traditional high-voltage circuit breaker switching-on and switching-off coil needs to be powered off after high-voltage circuit breaker is powered off and then fault detection is carried out when fault detection is carried out in prior art is solved, and the probability of power load loss and power grid risk occurrence is reduced.

Description

Technical Field

[0001] This invention relates to the field of coil detection technology, and in particular to a coil detection method, identification device, system, computer equipment, and medium. Background Technology

[0002] Currently, high-voltage circuit breakers play a control role in high-voltage circuits and are one of the important electrical components in high-voltage circuits. High-voltage circuit breakers can not only cut off or close the no-load current and load current in high-voltage circuits, but also cut off the overload current and short-circuit current through the action of relay protection devices when a system fault occurs. It has a fairly complete arc-extinguishing structure and sufficient breaking capacity.

[0003] Traditional high-voltage circuit breaker opening and closing coils can achieve a simple function of real-time coil breakage detection by detecting the on / off state of a constant voltage small current input, thus preventing catastrophic accidents such as large-scale power outages due to faults in the traditional high-voltage circuit breaker opening and closing coils themselves. However, the structure of traditional high-voltage circuit breaker opening and closing coils lacks the ability to identify faults such as coil deformation, coil breakage, and inter-turn short circuits. Furthermore, when it is necessary to determine whether a fault has occurred in the traditional high-voltage circuit breaker's opening and closing coil, it will cause the high-voltage circuit breaker to trip. To prevent the detection process from causing erroneous tripping of the operating high-voltage circuit breaker, the high-voltage circuit breaker under test must be de-energized and isolated from the power grid before the fault detection of the high-voltage circuit breaker's opening and closing coil can be performed. Therefore, the additional power outage process will cause a certain degree of power load loss and power grid risk.

[0004] Therefore, how to develop a testing method that can identify faults in the opening and closing coils of traditional high-voltage circuit breakers without de-energizing the high-voltage circuit breaker during testing has become an urgent problem to be solved. Summary of the Invention

[0005] Based on this, it is necessary to propose a coil detection method, identification device, system, computer equipment, and medium that can identify faults such as inter-turn short circuits and short-circuit connections without disconnecting the line during detection, in order to address the above problems.

[0006] A coil detection method includes a closing / opening coil and a voltage transformer. The closing / opening coil is connected to an external power supply. The test terminal of the voltage transformer is connected to both ends of the closing / opening coil, and the power supply terminal of the voltage transformer is connected to the external power supply. Furthermore, the voltage transformer is wirelessly connected to a backend gateway, which is also connected to a backend system. The method includes:

[0007] The voltage transformer is controlled to inject a test current signal into the input side of the opening and closing coil;

[0008] The first current amplitude on the output side of the opening and closing coil after acquiring the injected test current signal;

[0009] A state characteristic curve matching the opening and closing coil is generated based on the first current amplitude;

[0010] The fault of the opening and closing coil is determined based on the state characteristic curve.

[0011] Furthermore, the frequency range of the test current signal is between 0.1 Hz and 10 kHz.

[0012] Furthermore, the step of generating a state characteristic curve matching the opening and closing coil based on the first current amplitude specifically includes:

[0013] The number of times the test current signal is sent is recorded as the number of times it is sent, m1.

[0014] The second current amplitude output from the input side of the opening and closing coil is obtained and denoted as the second current amplitude I. Ai The first current amplitude is then denoted as the first current amplitude I. Bi ;

[0015] According to m1, I Ai and the I Bi Generate the state characteristic curve

[0016] Wherein, AB is the identification number corresponding to the opening and closing coil, and i is the output frequency of the test current signal.

[0017] Furthermore, the state characteristic curve is specifically represented as follows:

[0018]

[0019] Furthermore, the step of determining whether the opening and closing coil has a fault based on the state characteristic curve specifically includes:

[0020] Obtain a preset normal characteristic curve that matches the opening and closing coil. The preset normal characteristic curve The characteristic curve of the opening and closing coil during normal operation is given, and the values ​​of m2 and m1 are matched.

[0021] Obtain the first correlation coefficient corresponding to the state feature curve. and the second correlation coefficient corresponding to the preset normal characteristic curve.

[0022] According to the above The The and the Calculate the curve correlation coefficient between the state characteristic curve and the preset normal characteristic curve;

[0023] The circuit breaker coil is used to determine whether it is faulty based on the correlation coefficient of the curve.

[0024] Furthermore, the step of determining whether the opening and closing coils are faulty based on the curve correlation coefficient specifically includes:

[0025] Determine whether the correlation coefficient of the curve is less than the preset threshold;

[0026] If so, it is determined that the opening and closing coil is faulty; otherwise, it is determined that the opening and closing coil is not faulty.

[0027] Furthermore, the statement based on the The The and the The step of calculating the curve correlation coefficient between the state characteristic curve and the preset normal characteristic curve specifically includes:

[0028] Obtain the preset calculation formula.

[0029] The The The and the The input is entered into the preset calculation formula for calculation, thereby obtaining the curve correlation coefficient;

[0030] Specifically, the preset calculation formula is as follows:

[0031]

[0032] Rab(AB) is the specific value of the curve correlation coefficient.

[0033] A voltage transformer includes a control unit, a storage unit, a signal generation unit, a power input unit, a signal detection unit, and a wireless unit;

[0034] The storage unit, the signal generation unit, the power input unit, the signal detection unit, and the wireless unit are all connected to the control unit. The signal generation unit is also connected to the input side of the opening and closing coil, thereby generating a test current signal and injecting it into the opening and closing coil. The signal detection unit is also connected to the output side of the opening and closing coil, thereby acquiring the first current amplitude output from the output side of the opening and closing coil and sending it to the control unit. The control unit then calculates the curve correlation coefficient based on the first current amplitude and sends it to the storage unit for storage. The wireless unit is also wirelessly connected to the backend system, thereby sending the curve correlation coefficient to the backend system.

[0035] A coil detection system includes a closing / opening coil and a voltage transformer. The closing / opening coil is connected to an external power supply. The test terminals of the voltage transformer are connected to both ends of the closing / opening coil, and the power supply terminals of the voltage transformer are connected to the external power supply. Furthermore, the voltage transformer is wirelessly connected to a backend gateway, which is also connected to a backend system. The system includes:

[0036] The input module is used to control the voltage transformer to inject a test current signal into the input side of the opening and closing coil;

[0037] The acquisition module is used to acquire the first current amplitude on the output side of the opening and closing coil after the injected test current signal;

[0038] A generation unit is used to generate a state characteristic curve that matches the opening and closing coil based on the first current amplitude.

[0039] The judgment unit is used to determine whether the opening and closing coils have malfunctioned based on the state characteristic curve.

[0040] A computer device includes a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the following steps:

[0041] The voltage transformer is controlled to inject a test current signal into the input side of the opening and closing coil;

[0042] The first current amplitude on the output side of the opening and closing coil after acquiring the injected test current signal;

[0043] A state characteristic curve matching the opening and closing coil is generated based on the first current amplitude;

[0044] The fault of the opening and closing coil is determined based on the state characteristic curve.

[0045] A computer-readable medium storing a computer program, which, when executed by a processor, causes the processor to perform the following steps:

[0046] The voltage transformer is controlled to inject a test current signal into the input side of the opening and closing coil;

[0047] The first current amplitude on the output side of the opening and closing coil after acquiring the injected test current signal;

[0048] A state characteristic curve matching the opening and closing coil is generated based on the first current amplitude;

[0049] The fault of the opening and closing coil is determined based on the state characteristic curve.

[0050] The aforementioned coil detection method, identification device, system, computer equipment, and medium, by using a voltage transformer to input a test current signal to the opening and closing coil, generates a corresponding state characteristic curve based on the first current amplitude output by the opening and closing coil, and then determines whether the opening and closing coil has a fault based on the state characteristic curve. This achieves the goal of identifying whether the opening and closing coil has a fault without de-energizing the opening and closing coil or the external high-voltage circuit breaker. This solves the problem in the existing technology where the high-voltage circuit breaker needs to be de-energized before fault detection, which leads to power load loss and grid risk, and reduces the probability of power load loss and grid risk. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0052] in:

[0053] Figure 1 This is a flowchart of a coil detection method in one embodiment;

[0054] Figure 2 This is a structural block diagram of a coil detection system in one embodiment;

[0055] Figure 3 This is a structural block diagram of a computer device in one embodiment.

[0056] Figure 4 This is a schematic diagram illustrating the connection between a voltage transformer and a backend system in one embodiment;

[0057] Figure 5 This is a schematic diagram of the structure of a voltage transformer in one embodiment; Detailed Implementation

[0058] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0059] refer to Figure 1 as well as Figure 4 A coil detection method includes a switching coil 1 and a voltage transformer 2. The switching coil 1 is connected to an external power supply. The test terminal of the voltage transformer 2 is connected to both ends of the switching coil 1, and the power supply terminal of the voltage transformer 2 is connected to the external power supply. Furthermore, the voltage transformer 2 is wirelessly connected to a backend gateway 3, and the backend gateway 3 is also connected to a backend system 4. The method includes:

[0060] S1. Control voltage transformer 2 to inject a test current signal into the input side of the opening and closing coil 1;

[0061] As described in step S1 above, the power supply terminal of voltage transformer 2 is connected to an external 220V power supply, and the test terminal of voltage transformer 2 is connected to the input side and the output side of the opening and closing coil 1. In addition, voltage transformer 2 is wirelessly connected to the background system 4 through the background gateway 3, thereby realizing the function of injecting test current signal into the input side of the opening and closing coil 1 according to the signal of the background system.

[0062] Furthermore, the backend system is generally a backend server. In addition, the backend system can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms. This invention does not limit this.

[0063] S2. Obtain the first current amplitude on the output side of the opening and closing coil 1 after the injected test current signal is obtained;

[0064] As described in step S2 above, the background system obtains the first current amplitude output by the output side of the opening and closing coil 1 after the test current signal is injected through the input side through the voltage transformer 2, thereby realizing the function of monitoring the parameter fluctuations caused by the fault in the closing coil 1 without disconnecting the power to the opening and closing coil 1 and the voltage transformer 2.

[0065] S3. Generate a state characteristic curve that matches the opening and closing coil 1 based on the first current amplitude;

[0066] As described in step S3 above, after the voltage transformer 2 obtains the first current amplitude, it generates the characteristic curve matching the opening and closing coil 1 inside the voltage transformer 2 based on the first current amplitude, and then sends the characteristic curve to the background system.

[0067] S4. Determine whether the opening and closing coil 1 has a fault based on the characteristic curve.

[0068] As described in step S4 above, the background system determines whether the opening and closing coil 1 has a fault based on the characteristic curve. It is understood that the fault includes, but is not limited to, fault types such as coil deformation, coil wire breakage, and inter-turn short circuit.

[0069] This embodiment, through the above structure, uses a voltage transformer to input a test current signal to the opening and closing coil, generates a corresponding state characteristic curve based on the first current amplitude output by the opening and closing coil, and then determines whether the opening and closing coil 1 has a fault based on the state characteristic curve. This achieves the goal of identifying whether the opening and closing coil has a fault without de-energizing the opening and closing coil or the external high-voltage circuit breaker. This solves the problem in the prior art where the existing traditional high-voltage circuit breaker opening and closing coils require de-energizing the high-voltage circuit breaker before fault detection, leading to power load loss and grid risk, and reduces the probability of power load loss and grid risk.

[0070] In one embodiment, the frequency range of the test current signal is between 0.1 Hz and 10 kHz.

[0071] As described in the above embodiment, the background system controls the voltage transformer 2 to inject the test current signal with a frequency range of 0.1Hz to 10KHz into the input side of the opening and closing coil 1, thereby realizing the function of outputting the characteristic curve of the opening and closing coil 1.

[0072] In one embodiment, step S3 specifically includes:

[0073] S31. Obtain the total number of times the test current signal is sent, and record the number of times the test current signal is sent each time within the total number of times as the number of times m1 is sent. Obtain the second current amplitude output from the input side of the opening and closing coil 1, and record it as the second current amplitude I. Ai The first current amplitude is then denoted as the first current amplitude I. Bi According to m1 and I Ai and the I Bi Generate the state characteristic curve

[0074] Wherein, AB is the identification number corresponding to the opening and closing coil 1, and i is the output frequency of the test current signal;

[0075] Furthermore, the state characteristic curve is specifically represented as follows:

[0076]

[0077] As described in the above embodiment, the background system obtains the total number of times the test current signal is sent through the voltage transformer 2, and records the number of times the test current signal is sent each time within the total number of times as the number of times m1 is sent. For example, when the total number of times is 5, the number of times sent is (1, 2, 3, 4, 5), and the parameter corresponding to m1 is also m1 = 1, 2, 3, 4, 5. Then, the voltage transformer 2 obtains the second current amplitude output from the input side of the opening and closing coil 1, and records it as the second current amplitude I. Ai The first current amplitude is then denoted as the first current amplitude I. Bi This enables the acquisition of the current amplitude on both sides of the opening and closing coil 1. Finally, the voltage transformer 2 determines the current amplitude based on the values ​​of m1 and I. Ai and the I Bi Generate the state characteristic curve The state characteristic curve is specifically represented as follows:

[0078]

[0079] Wherein AB is the identification number corresponding to the opening and closing coil 2, that is, AB is used to identify the opening and closing coil 2 corresponding to the state characteristic curve, and i is the output frequency of the test current signal;

[0080] Afterwards, voltage transformer 2 stores the generated state characteristic curve and sends it to the background system.

[0081] In one embodiment, step S4 specifically includes:

[0082] S41. Obtain the preset normal characteristic curve that matches the opening and closing coil 1. The values ​​of m2 and m1 are matched, and the first correlation coefficient corresponding to the state feature curve is obtained. Where n is the total number of times the test current signal is sent, n∈i, and the first correlation coefficient is specifically expressed as follows:

[0083]

[0084] Obtain the second correlation coefficient corresponding to the preset normal characteristic curve. The second correlation coefficient is specifically expressed as follows:

[0085]

[0086] in That is, the specific value of the second correlation coefficient, according to the above. The The and the The correlation coefficient between the state characteristic curve and the preset normal characteristic curve is calculated, and the fault of the opening and closing coil 1 is determined based on the correlation coefficient.

[0087] As described in the above embodiment, after the background system receives the state characteristic curve sent by the voltage transformer 2, it obtains a pre-stored preset normal characteristic curve that matches the opening and closing coil 1 based on the state characteristic curve. The preset normal characteristic curve The characteristic curve of the opening and closing coil 1 during normal operation is shown, wherein the values ​​of m2 and m1 are matched, that is, when the number of transmissions corresponding to m1 is 1, the number of transmissions corresponding to m2 is also 1. Then, the background system calculates the first correlation coefficient that matches the state characteristic curve based on the obtained state characteristic curve. Where n is the total number of times the test current signal is sent, n∈i, and the first correlation coefficient is specifically expressed as follows:

[0088]

[0089] In addition, the first correlation coefficient is calculated in the background system. Simultaneously, the background system calculates the second correlation coefficient corresponding to the preset normal characteristic curve. The second correlation coefficient is specifically expressed as follows:

[0090]

[0091] The backend system then proceeds according to the... The The and the The correlation coefficient between the state characteristic curve and the preset normal characteristic curve is calculated, and the fault of the opening and closing coil 1 is determined based on the correlation coefficient, thereby realizing the function of determining whether the opening and closing coil 1 has a fault by comparing the state characteristic curve with the preset normal characteristic curve.

[0092] Furthermore, the statement based on the The The and the The step of calculating the curve correlation coefficient between the state characteristic curve and the preset normal characteristic curve specifically includes:

[0093] S42. Obtain the preset calculation formula.

[0094] The The The and the The input is entered into the preset calculation formula for calculation, thereby obtaining the curve correlation coefficient;

[0095] Specifically, the preset calculation formula is as follows:

[0096]

[0097] Rab(AB) is the specific value of the curve correlation coefficient.

[0098] As described in the above embodiments, the background system obtains the preset calculation formula and then... The The and the The input is entered into the preset calculation formula for calculation, thereby obtaining the curve correlation coefficient;

[0099] Specifically, the preset calculation formula is as follows:

[0100]

[0101] The background system then records the final result Rab(AB) calculated by the preset calculation formula as the final value of the curve correlation coefficient.

[0102] In one embodiment, the step of determining whether the opening / closing coil 1 has a fault based on the curve correlation coefficient specifically includes:

[0103] S42. Determine whether the correlation coefficient of the curve is less than the preset threshold. If it is, determine that the opening and closing coil 1 has a fault; otherwise, determine that the opening and closing coil 1 does not have a fault.

[0104] As described in the above embodiments, after the background system calculates the curve correlation coefficient according to the preset calculation formula, it obtains a preset threshold that matches the curve correlation coefficient. In this embodiment, the specific value of the preset threshold is 0.5. The background system then determines whether the curve correlation coefficient is less than 0.5. If it is, the background system determines that the difference between the state characteristic curve and the preset normal characteristic curve is small, and the opening and closing coil 1 corresponding to the state characteristic curve has not experienced coil faults such as coil deformation, coil breakage, and inter-turn short circuit. Conversely, when the background system determines that the curve correlation coefficient is greater than 0.5, the background system determines that the difference between the state characteristic curve and the preset normal characteristic curve is large, and it can be determined that the opening and closing coil 1 corresponding to the current state characteristic curve may have a corresponding fault. At this time, the background system can send a corresponding warning signal.

[0105] refer to Figure 5 In one embodiment, a voltage transformer includes a control unit 5, a storage unit 6, a signal generation unit 7, a power input unit 8, a signal detection unit 9, and a wireless unit 10.

[0106] Storage unit 6, signal generation unit 7, power input unit 8, signal detection unit 9, and wireless unit 10 are all connected to control unit 5. Signal generation unit 7 is also connected to the input side of the opening and closing coil 1, thereby realizing the function of generating test current signal and injecting it into the opening and closing coil 1. Signal detection unit 9 is also connected to the output side of the opening and closing coil 1, thereby realizing the acquisition of the first current amplitude output by the output side of the opening and closing coil 1 and sending it to control unit 5. Control unit 5 then calculates the curve correlation coefficient based on the first current amplitude and sends it to storage unit 6 for storage. Wireless unit 10 is also wirelessly connected to the background system, thereby sending the curve correlation coefficient to the background system.

[0107] As described in the above embodiment, the signal generating unit 7 generates a test current signal of a specific frequency according to the request sent by the background system and injects it into the input side of the opening and closing coil 1. Then, the signal detection unit 9 obtains the first current amplitude output from the output side of the opening and closing coil 1 and sends it to the control unit 5. The control unit 5 calculates the curve correlation coefficient based on the first current amplitude and sends it to the storage unit 6 for backup storage. Then, the curve correlation coefficient is sent to the background system for processing through the wireless unit 10.

[0108] refer to Figure 2 and Figure 4In one embodiment, a coil detection system includes a closing / opening coil 1 and a voltage transformer 2. The closing / opening coil 1 is connected to an external power supply. The test terminal of the voltage transformer 2 is connected to both ends of the closing / opening coil 1, and the power supply terminal of the voltage transformer 2 is connected to the external power supply. Furthermore, the voltage transformer 2 is wirelessly connected to a backend gateway 3, and the backend gateway 3 is also connected to a backend system 4. The system includes:

[0109] Input module 10 is used to control the voltage transformer 2 to inject a test current signal into the input side of the opening and closing coil 1;

[0110] The acquisition module 20 is used to acquire the first current amplitude on the output side of the opening and closing coil 1 after the injection of the test current signal;

[0111] The generation unit 30 is used to generate a state characteristic curve that matches the opening and closing coil 1 based on the first current amplitude;

[0112] The judgment unit 40 is used to determine whether the opening and closing coil 1 has a fault based on the characteristic curve.

[0113] Each of the above-mentioned units is responsible for executing the coil detection system described above, and will not be described in detail here.

[0114] Figure 3 An internal structural diagram of a computer device in one embodiment is shown. This computer device may specifically be a server, including but not limited to high-performance computers and high-performance computer clusters. Figure 3 As shown, the computer device includes a processor, memory, and network interface connected via a system bus. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and may also store a computer program. When executed by the processor, this computer program enables the processor to implement the employee status determination method. The internal memory may also store a computer program, which, when executed by the processor, enables the processor to execute the coil detection method.

[0115] In one embodiment, the customer behavior recognition method provided by the present invention can be implemented as a computer program, which can be implemented in the form of, for example... Figure 3 The device operates on the computer shown. The computer's memory can store the various program templates that make up the automatic mail sorting and aggregation device. For example: input module 10, acquisition module 20, generation unit 30, and judgment unit 40.

[0116] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, performs the following steps:

[0117] The control voltage transformer 2 injects a test current signal into the input side of the opening and closing coil 1, obtains the first current amplitude on the output side of the opening and closing coil 1 after the test current signal is injected, generates a state characteristic curve matching the opening and closing coil 1 based on the first current amplitude, and determines whether the opening and closing coil 1 has a fault based on the characteristic curve.

[0118] As can be seen from the above embodiments, the greatest beneficial effect of the present invention is that by using a voltage transformer to input a test current signal to the opening and closing coil, and generating a corresponding state characteristic curve based on the first current amplitude output by the opening and closing coil, and then judging whether the opening and closing coil 1 has a fault based on the state characteristic curve, it is possible to identify whether the opening and closing coil has a fault without disconnecting the power to the opening and closing coil and the external high-voltage circuit breaker. This solves the problem in the prior art that the existing traditional high-voltage circuit breaker opening and closing coils need to disconnect the power to the high-voltage circuit breaker before fault detection, which leads to power load loss and grid risk, and reduces the probability of power load loss and grid risk.

[0119] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), and double data rate RAM.

[0120] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0121] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A coil detection method, characterized in that, The method includes a closing / opening coil and a voltage transformer. The closing / opening coil is connected to an external power supply. The test terminal of the voltage transformer is connected to both ends of the closing / opening coil, and the power supply terminal of the voltage transformer is connected to the external power supply. Furthermore, the voltage transformer is wirelessly connected to a backend gateway, which is also connected to a backend system. The method includes: The voltage transformer is controlled to inject a test current signal into the input side of the opening and closing coil; The first current amplitude on the output side of the opening and closing coil after acquiring the injected test current signal; A state characteristic curve matching the opening and closing coil is generated based on the first current amplitude; Determine whether the opening and closing coils are faulty based on the state characteristic curve; in, The step of generating a state characteristic curve matching the opening and closing coil based on the first current amplitude specifically includes: The number of times the test current signal is sent is recorded as the number of times it is sent, m1. The second current amplitude output from the input side of the opening and closing coil is obtained and denoted as the second current amplitude. The first current amplitude is then recorded as the first current amplitude. ; According to m1, the and the Generate the state characteristic curve ; The state characteristic curve is specifically represented as follows: ; Among them, the The identification number corresponding to the opening and closing coil, the The output frequency of the test current signal; The step of determining whether the opening and closing coil has a fault based on the state characteristic curve specifically includes: Obtain a preset normal characteristic curve that matches the opening and closing coil. The preset normal characteristic curve This is the characteristic curve of the opening and closing coil during normal operation, and at the same time... With the The numerical values ​​match. Obtain the first correlation coefficient corresponding to the state feature curve. and the second correlation coefficient corresponding to the preset normal characteristic curve. ; According to the above The above The above and the Calculate the curve correlation coefficient between the state characteristic curve and the preset normal characteristic curve; The circuit breaker coil is used to determine whether it is faulty based on the correlation coefficient of the curve. According to the The above The above and the The step of calculating the curve correlation coefficient between the state characteristic curve and the preset normal characteristic curve specifically includes: Obtain the preset calculation formula; The The above The above and the The input is entered into the preset calculation formula for calculation, thereby obtaining the curve correlation coefficient; Specifically, the preset calculation formula is as follows: The That is, the specific value of the correlation coefficient of the curve; The step of determining whether the opening and closing coils are faulty based on the correlation coefficient of the curve specifically includes: Determine whether the correlation coefficient of the curve is less than a preset threshold; If so, it is determined that the opening and closing coil is faulty; otherwise, it is determined that the opening and closing coil is not faulty.

2. The coil detection method as described in claim 1, characterized in that, The frequency range of the test current signal is between 0.1 Hz and 10 kHz.

3. A voltage transformer, characterized in that, It includes a control unit, a storage unit, a signal generation unit, a power input unit, a signal detection unit, and a wireless unit; The storage unit, the signal generation unit, the power input unit, the signal detection unit, and the wireless unit are all connected to the control unit. The signal generation unit is also connected to the input side of the opening and closing coil, thereby generating a test current signal and injecting it into the opening and closing coil. The signal detection unit is also connected to the output side of the opening and closing coil, thereby acquiring the first current amplitude output from the output side of the opening and closing coil and sending it to the control unit. The control unit then calculates the curve correlation coefficient based on the first current amplitude and sends it to the storage unit for storage. The wireless unit is also wirelessly connected to the backend system, thereby sending the curve correlation coefficient to the backend system. The control unit is used to perform the steps of the coil detection method as described in claim 1 or 2.

4. A coil detection system, characterized in that, The system includes a closing / opening coil and a voltage transformer. The closing / opening coil is connected to an external power supply. The test terminal of the voltage transformer is connected to both ends of the closing / opening coil, and the power supply terminal of the voltage transformer is connected to the external power supply. Furthermore, the voltage transformer is wirelessly connected to a backend gateway, which is also connected to a backend system. The system includes: The input module is used to control the voltage transformer to inject a test current signal into the input side of the opening and closing coil; The acquisition module is used to acquire the first current amplitude on the output side of the opening and closing coil after the injected test current signal; A generation unit is used to generate a state characteristic curve that matches the opening and closing coil based on the first current amplitude. The judgment unit is used to determine whether the opening and closing coil has a fault based on the state characteristic curve; in, The step of generating a state characteristic curve matching the opening and closing coil based on the first current amplitude specifically includes: The number of times the test current signal is sent is recorded as the number of times it is sent, m1. The second current amplitude output from the input side of the opening and closing coil is obtained and denoted as the second current amplitude. The first current amplitude is then recorded as the first current amplitude. ; According to m1, the and the Generate the state characteristic curve ; The state characteristic curve is specifically represented as follows: ; Among them, the The identification number corresponding to the opening and closing coil, the The output frequency of the test current signal; The step of determining whether the opening and closing coil has a fault based on the state characteristic curve specifically includes: Obtain a preset normal characteristic curve that matches the opening and closing coil. The preset normal characteristic curve This is the characteristic curve of the opening and closing coil during normal operation, and at the same time... With the The numerical values ​​match. Obtain the first correlation coefficient corresponding to the state feature curve. and the second correlation coefficient corresponding to the preset normal characteristic curve. ; According to the above The above The above and the Calculate the curve correlation coefficient between the state characteristic curve and the preset normal characteristic curve; The circuit breaker coil is used to determine whether it is faulty based on the correlation coefficient of the curve. According to the The above The above and the The step of calculating the curve correlation coefficient between the state characteristic curve and the preset normal characteristic curve specifically includes: Obtain the preset calculation formula; The The above The above and the The input is entered into the preset calculation formula for calculation, thereby obtaining the curve correlation coefficient; Specifically, the preset calculation formula is as follows: The That is, the specific value of the correlation coefficient of the curve; The step of determining whether the opening and closing coils are faulty based on the correlation coefficient of the curve specifically includes: Determine whether the correlation coefficient of the curve is less than a preset threshold; If so, it is determined that the opening and closing coil is faulty; otherwise, it is determined that the opening and closing coil is not faulty.

5. A computer device, characterized in that, The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the coil detection method as described in claim 1 or 2.

6. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the coil detection method as described in claim 1 or 2.

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