A method for processing transformer abnormality

Abstract

The application discloses a kind of mutual inductor abnormality processing methods, comprising: mutual inductor abnormality part positioning, the abnormal data compared with the standard value of normal operation by detection module detection, the state of abnormal data is judged;Abnormal data is brought into database, according to condition matching problem, the result of analyzing exception is output;The abnormal site is powered off maintenance operation by inductive switch, and the problem and condition of abnormality are written, and the database is updated in real time.The application realizes accurate detection and determination to mutual inductor exception, so as to form the condition of determination by the data of detection, according to the possible problems of condition matching, the continuous further limitation to the problem is formed by feedback module, so as to form accurate positioning matching to the problem generated with the appearance, processing and feedback of problem, to achieve the purpose of automatic processing.

Description

Technical Field

[0001] This invention relates to the technical field of transformer fault handling, and more particularly to a transformer fault handling method. Background Technology

[0002] Instrument transformers primarily transform high voltage or high current into standard low voltage (100V) or standard low current (5A or 1A, both referring to rated values) proportionally, enabling the standardization and miniaturization of measuring instruments, protection devices, and automatic control equipment. Instrument transformers can also be used to isolate high-voltage systems to ensure the safety of personnel and equipment.

[0003] When existing current transformers malfunction, most require manual judgment based on the detection data and personal experience. The accuracy of the judgment is poor, the handling of malfunctions is highly subjective, and it is difficult to form a standardized and stable handling method. Summary of the Invention

[0004] The purpose of this section is to outline some aspects of embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.

[0005] In view of the aforementioned existing problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is the problem of poor accuracy of the judgment results and non-standard processing methods in the prior art.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0008] In a first aspect, embodiments of the present invention provide a method for handling transformer anomalies, including:

[0009] To locate abnormal parts of the current transformer, the abnormal data detected by the detection module is compared with the standard value during normal operation to determine the status of the abnormal data;

[0010] Input abnormal data into the database, match the problem according to the conditions, and output the results of the abnormal analysis;

[0011] Power outage maintenance is performed on abnormal parts using inductive switches, and the problems and conditions caused by the abnormalities are recorded and updated in the database in real time.

[0012] As a preferred embodiment of the current transformer fault handling method of the present invention, the fault location of the current transformer includes:

[0013] By dividing the current transformer into zones, the exact location of the current transformer malfunction can be determined.

[0014] As a preferred embodiment of the current transformer anomaly handling method of the present invention, the step of determining the state of the abnormal data includes:

[0015] An anomaly detection module is set up, and detection data is set in the detection module, including current, voltage and power. The abnormal data is compared with the standard value during normal operation to determine the state of the abnormal data. The difference between the detection data in the detection module and the standard value during normal operation is calculated to obtain the error value.

[0016] The error value is compared with the error value within the controllable range. If the error value is exceeded, an abnormal alarm is generated; otherwise, the abnormal information is ignored.

[0017] When the abnormal data exceeds the limit, the error value is judged as positive or negative. If the error value is positive, the detection data is judged as high; if the error value is negative, the detection data is judged as low.

[0018] As a preferred embodiment of the transformer anomaly handling method of the present invention, when an anomaly is detected in the current value detection data within a single area, the method includes:

[0019] The current value of the corresponding area is detected by the detection module and compared with the standard value. If the current value exceeds the error value, it is judged as abnormal.

[0020] The error value is determined to be positive or negative. If the error value is positive, the current value is determined to be too high; if the error value is negative, the current value is determined to be too low.

[0021] The judgment result is input into the database, the corresponding problem in the database is called, the conditions of abnormal current (too high or too low), and normal voltage and power values ​​are matched, and the result of the anomaly analysis is output.

[0022] As a preferred embodiment of the transformer anomaly handling method of the present invention, when an anomaly is detected in the voltage value detection data within a single area, the method includes:

[0023] The voltage value of the corresponding area is detected by the detection module and compared with the standard value. If the voltage value exceeds the error value, it is judged as abnormal.

[0024] The error value is determined to be positive or negative. If the error value is positive, the voltage value is determined to be too high; if the error value is negative, the voltage value is determined to be too low.

[0025] The judgment result is input into the database, the corresponding problem in the database is called, the conditions of abnormal voltage (too high or too low), and normal current and power values ​​are matched, and the result of the anomaly analysis is output.

[0026] As a preferred embodiment of the current transformer anomaly handling method of the present invention, when at least two sets of detection data in a single area are abnormal, the method includes:

[0027] The test data are tested separately and compared with the standard value. If the error value is exceeded, it is judged as abnormal.

[0028] Determine whether the error value is positive or negative;

[0029] The judgment result is input into the database, the corresponding problem in the database is called, the conditions for detecting anomalies are input for matching, and multiple sets of anomaly analysis results are output.

[0030] As a preferred embodiment of the current transformer anomaly handling method of the present invention, wherein: when at least two sets of detection data in at least two sets of detection data within at least two sets of regions are abnormal, the method includes:

[0031] The test data are tested separately and compared with the standard value. If the error value is exceeded, it is judged as abnormal.

[0032] Determine whether the error value is positive or negative;

[0033] The judgment result is input into the database, the corresponding problem in the database is called, the conditions for detecting anomalies are input for matching, and multiple sets of anomaly analysis results are output.

[0034] Secondly, embodiments of the present invention provide a transformer anomaly handling device, comprising:

[0035] The anomaly detection module is used to locate the abnormal part of the current transformer. It determines the state of the abnormal data by comparing the abnormal data detected by the detection module with the standard value during normal operation.

[0036] The anomaly analysis module is used to input abnormal data into the database, match the problem according to the conditions, and output the results of the anomaly analysis.

[0037] The anomaly handling module uses a sensor switch to perform power-off maintenance on abnormal parts, and writes the problems and conditions caused by the anomaly into the database in real time.

[0038] Thirdly, embodiments of the present invention provide a computing device, including:

[0039] Memory and processor;

[0040] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the one or more programs are executed by the one or more processors, the one or more processors implement the sensor abnormality handling method as described in any embodiment of the present invention.

[0041] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the sensor anomaly handling method.

[0042] The beneficial effects of the present invention are as follows: The present invention provides a sensor anomaly handling method with a detection module, which enables accurate detection and judgment of current transformer anomalies. The detection data is used to form judgment conditions, and the possible problems are matched according to the conditions. The feedback module is used to further limit the problems. As the problems occur, are handled, and feedback is received, the problem is accurately located and matched, thus achieving the purpose of automatic handling. Attached Figure Description

[0043] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments 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. Wherein:

[0044] Figure 1 This is a flowchart of a current transformer anomaly handling method according to an embodiment of the present invention;

[0045] Figure 2 This is a diagram of an apparatus for a transformer anomaly handling method according to an embodiment of the present invention. Detailed Implementation

[0046] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0047] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0048] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0049] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0050] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used solely for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0051] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0052] Example 1

[0053] Reference Figure 1 —2, is an embodiment of the present invention, which provides a method for handling transformer anomalies, including:

[0054] S100: Locates abnormal parts of the current transformer by comparing the abnormal data detected by the detection module with the standard value during normal operation to determine the status of the abnormal data;

[0055] Furthermore, the location of abnormal parts of the current transformer includes dividing the current transformer into regions to determine the exact location where the abnormality occurs.

[0056] Furthermore, the status of abnormal data is determined by setting up a detection module in the anomaly detection process. The detection module is set with detection data, including current, voltage, and power. The abnormal data is compared with the standard values ​​during normal operation to determine the status of the abnormal data. The difference between the detection data in the detection module and the standard values ​​during normal operation is calculated to obtain the error value.

[0057] The error value is compared with the error value within the controllable range. If the error value is exceeded, an abnormal alarm is generated; otherwise, the abnormal information is ignored.

[0058] When the abnormal data exceeds the limit, the error value is judged as positive or negative. If the error value is positive, the detection data is judged as high; if the error value is negative, the detection data is judged as low.

[0059] S200: Input abnormal data into the database, match the problem according to the conditions, and output the results of the abnormal analysis;

[0060] Furthermore, when the voltage value detected in the data within a single area is abnormal, this includes:

[0061] The voltage value of the corresponding area is detected by the detection module and compared with the standard value. If the voltage value exceeds the error value, it is judged as abnormal.

[0062] The error value is determined to be positive or negative. If the error value is positive, the voltage value is determined to be too high; if the error value is negative, the voltage value is determined to be too low.

[0063] The judgment result is input into the database, the corresponding problem in the database is called, the conditions of abnormal voltage (too high or too low), and normal current and power values ​​are matched, and the result of the anomaly analysis is output.

[0064] Furthermore, when the voltage value detected in the data within a single area is abnormal, this includes:

[0065] The voltage value of the corresponding area is detected by the detection module and compared with the standard value. If the voltage value exceeds the error value, it is judged as abnormal.

[0066] The error value is determined to be positive or negative. If the error value is positive, the voltage value is determined to be too high; if the error value is negative, the voltage value is determined to be too low.

[0067] The judgment result is input into the database, the corresponding problem in the database is called, the conditions of abnormal voltage (too high or too low), and normal current and power values ​​are matched, and the result of the anomaly analysis is output.

[0068] Furthermore, when at least two sets of detection data within a single region are abnormal, including:

[0069] The test data are tested separately and compared with the standard value. If the error value is exceeded, it is judged as abnormal.

[0070] Determine whether the error value is positive or negative;

[0071] The judgment result is input into the database, the corresponding problem in the database is called, the conditions for detecting anomalies are input for matching, and multiple sets of anomaly analysis results are output.

[0072] Furthermore, when at least two sets of detection data within at least two regions are abnormal, including:

[0073] The test data are tested separately and compared with the standard value. If the error value is exceeded, it is judged as abnormal.

[0074] Determine whether the error value is positive or negative;

[0075] The judgment result is input into the database, the corresponding problem in the database is called, the conditions for detecting anomalies are input for matching, and multiple sets of anomaly analysis results are output.

[0076] S300: Performs power-off maintenance operations on abnormal parts through induction switches, and writes the problems and conditions caused by the abnormality into the database in real time.

[0077] It should be noted that the detection module is equipped with an induction switch that controls the working circuit of the current transformer. The induction switch is electrically connected to the anomaly judgment module. Based on the location and analysis results of the anomaly, the current transformer is repaired at the location where the anomaly occurs. The detection module is also equipped with a writing module that updates the database in real time based on the problems and conditions caused by the anomaly.

[0078] The above is an illustrative scheme of a current transformer anomaly handling method according to this embodiment. It should be noted that the technical solution of the current transformer anomaly handling device and the technical solution of the current transformer anomaly handling method described above belong to the same concept. For details not described in detail in the technical solution of the current transformer anomaly handling device in this embodiment, please refer to the description of the technical solution of the current transformer anomaly handling method described above.

[0079] Figure 2 This is a schematic diagram of a transformer anomaly handling device provided by the present invention. This embodiment can be applied to transformer anomaly handling methods.

[0080] See Figure 2 In this embodiment, the transformer fault handling device includes:

[0081] The anomaly detection module 101 is used to locate the abnormal part of the current transformer. It determines the state of the abnormal data by comparing the abnormal data detected by the detection module with the standard value during normal operation.

[0082] The anomaly analysis module 201 is used to input abnormal data into the database, match the problem according to the conditions, and output the results of the anomaly analysis.

[0083] The anomaly handling module 301 performs power-off maintenance on the abnormal parts through a sensor switch, and writes the problems and conditions caused by the anomaly into the database in real time.

[0084] This embodiment also provides a computing device applicable to the case of a current transformer anomaly handling method, including:

[0085] The system includes a memory and a processor. The memory stores computer-executable instructions, and the processor executes these instructions to implement the transformer anomaly handling method as described in the above embodiments.

[0086] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0087] This embodiment also provides a storage medium storing a computer program, which, when executed by a processor, implements the transformer anomaly handling method proposed in the above embodiments.

[0088] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0089] Example 2

[0090] Reference Figure 1 This invention provides a method for handling transformer anomalies in one embodiment. To demonstrate the beneficial effects of the invention, a scientific demonstration is conducted through a specific implementation process.

[0091] The present invention provides a method for handling transformer anomalies, comprising the following five steps:

[0092] ① Anomaly location: By dividing the current transformer into regions, the exact location of the current transformer anomaly can be determined.

[0093] ② Abnormal data analysis: Set up a detection module in the abnormal detection, and set the detection data in the detection module. The detection data includes current, voltage and power. Based on the comparison of the detected abnormal data with the standard values ​​during normal operation, determine the status of the abnormal data.

[0094] ③ Data retrieval: The detection module has a database containing the problems in the detection data and the conditions that caused the problems. Abnormal data is brought into the database, and the problems are matched according to the conditions to output the results of the abnormal analysis.

[0095] ④ Power-off maintenance: The detection module is equipped with an induction switch that controls the working circuit of the current transformer. The induction switch is electrically connected to the abnormality judgment module. Based on the location and analysis results of the abnormality, the current transformer is repaired at the location where the abnormality occurs.

[0096] ⑤ Data feedback: The detection module is equipped with a writing module that updates the database in real time based on the problems and conditions caused by the anomaly.

[0097] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for handling transformer abnormality, characterized by, The application relates to a transformer abnormal part positioning method and device. The method comprises the following steps: The abnormal data detected by the detection module is compared with the standard value during normal operation to determine the state of the abnormal data; The abnormal data is brought into a database, and the result of analyzing the abnormality is output according to condition matching; The abnormal part is powered off for maintenance operation through an inductive switch, and the problem and condition of the abnormality are written and the database is updated in real time; The transformer abnormal part positioning method comprises the following steps: The transformer is divided into regions to determine the accurate position of the transformer abnormality; The method for determining the state of the abnormal data comprises the following steps: A detection module is set in the abnormality detection, detection data is set in the detection module, the detection data comprises current, voltage and power, the state of the abnormal data is determined according to the comparison between the detected abnormal data and the standard value during normal operation, and the standard value during normal operation is subtracted from the detection data in the detection module to obtain an error value; The error value is compared with the error value in the controllable range, when the error value exceeds, an abnormal alarm is formed, and when the error value does not exceed, the abnormal information is ignored; When the error value exceeds, the error value is determined to be positive or negative, if the error value is positive, it is determined that the detection data is high, and if the error value is negative, it is determined that the detection data is low; When the current value in the detection data in a single region is abnormal, the method comprises the following steps: The current value in the corresponding region is detected through the detection module, and the current value is compared with the standard value, if the error value exceeds, the abnormality is determined; The error value is determined to be positive or negative, if the error value is positive, it is determined that the current value is too high, and if the error value is negative, it is determined that the current value is too low; The determined result is brought into a database, the problem in the corresponding region in the database is called, the condition that the current is abnormal and too high or too low and the voltage value and the power value are normal is brought into matching, and the result of abnormality analysis is output; When the voltage value in the detection data in a single region is abnormal, the method comprises the following steps: The voltage value in the corresponding region is detected through the detection module, and the voltage value is compared with the standard value, if the error value exceeds, the abnormality is determined; The error value is determined to be positive or negative, if the error value is positive, it is determined that the voltage value is too high, and if the error value is negative, it is determined that the voltage value is too low; The determined result is brought into a database, the problem in the corresponding region in the database is called, the condition that the voltage is abnormal and too high or too low and the current value and the power value are normal is brought into matching, and the result of abnormality analysis is output; When at least two groups of detection data in a single region are abnormal, the method comprises the following steps: The detection data is detected respectively, and compared with the standard value, if the error value exceeds, the abnormality is determined; The error value is determined to be positive or negative; The determined result is brought into a database, the problem in the corresponding region in the database is called, the condition that the detection data is abnormal is brought into matching, and the result of multiple abnormality analysis is output; When at least two groups of detection data in at least two regions are abnormal, the method comprises the following steps: The detection data is detected respectively, and compared with the standard value, if the error value exceeds, the abnormality is determined; The error value is determined to be positive or negative; 2. An abnormality processing device for a transformer using the method according to claim 1, characterized by The determined result is brought into a database, the problem in the corresponding region in the database is called, the condition that the detection data is abnormal is brought into matching, and the result of multiple abnormality analysis is output. The application relates to a transformer abnormal part positioning method and device. An abnormality sensing module (101) is configured to locate an abnormal part of a transformer by comparing abnormal data detected by a detection module with standard values in normal operation to determine a state of the abnormal data; An abnormality analysis module (201) is configured to input the abnormal data into a database, output a result of analyzing the abnormality according to a condition matching problem, and output the result of analyzing the abnormality. An abnormality processing module (301) is configured to perform a power-off maintenance operation on the abnormal part through a sensing switch, write problems and conditions of the abnormality, and update the database in real time. 3.A computing device, comprising: a memory and a processor; the memory is configured to store computer executable instructions, and the processor is configured to execute the computer executable instructions, and the computer executable instructions, when executed by the processor, implement steps of the transformer abnormality processing method in claim 1. 4.A computer readable storage medium storing computer executable instructions, and the computer executable instructions, when executed by a processor, implement steps of the transformer abnormality processing method in claim 1.

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