A fault diagnosis and positioning method and system for a main transformer oil temperature measurement system

Abstract

The present application relates to the technical field of power equipment monitoring, and specifically provides a fault diagnosis and positioning method and system for a main transformer oil temperature measurement system, which comprises: acquiring current data of a temperature transmitter, resistance data of a temperature sensor, and background display temperature data; calculating a first theoretical temperature based on a linear relationship between temperature and current of the temperature transmitter according to the current data; calculating a second theoretical temperature based on a temperature-resistance characteristic formula of the temperature sensor according to the resistance data; and obtaining fault diagnosis and positioning results of the main transformer oil temperature measurement system by combining a first deviation between the background display temperature data and the first theoretical temperature and a second deviation between the first theoretical temperature and the second theoretical temperature. The method provided by the present application simplifies the operation process of main transformer defect elimination, reduces the dependence on the experience of operators, greatly shortens the defect elimination time, and improves the fault diagnosis and positioning accuracy of the main transformer oil temperature measurement system.

Description

Technical Field

[0001] This invention relates to the field of power equipment monitoring technology, and in particular to a fault diagnosis and location method and system for a main transformer oil temperature measurement system. Background Technology

[0002] Main transformer oil temperature monitoring is a crucial step in understanding the main transformer's operating status, directly impacting grid overload early warning, equipment fault prevention, and power supply reliability. Failure to address main transformer oil temperature-related defects (such as oil temperature gauge malfunctions, temperature transmitter malfunctions, and issues with backend and remote control coefficient settings) in a timely manner can lead to distorted monitoring data and prevent effective mitigation of main transformer overload risks.

[0003] The current main transformer oil temperature troubleshooting solution adopted in the industry is the traditional manual operation mode. The specific process is as follows: The maintenance personnel do not disconnect the temperature measurement circuit, use the KEW 2510 DC milliampere clamp recorder to measure the output milliampere of the transmitter, calculate the theoretical temperature value according to the transmitter range, and compare the temperature display of the measurement and control, background, and remote control to see if it is correct. If the display is incorrect, disconnect the temperature measurement circuit, and use the FLUKE707 handheld current loop calibrator to increase the current from 0%, 25%, 50%, 75%, 100% gradient to check the consistency of the linear relationship between the temperature and the transmitter range. If the linear relationship is normal, disconnect the input resistance circuit, measure the input resistance and calculate the theoretical temperature value and the theoretical DC output value of the transmitter, compare it with the oil temperature gauge display value and the actual DC output of the transmitter, and judge the oil temperature gauge bulb and the temperature transmitter status. This method is widely used in the substation maintenance work of power supply companies at all levels. However, it has the following disadvantages: (1) The operation process is cumbersome and redundant, involving the alternating use of multiple devices, and the steps are complicated, which requires a high level of professional skills and experience from the operators. (2) Fault location efficiency is low. Defect analysis and fault point judgment rely on manual comparative analysis, accounting for 41% of the total working time, which seriously drags down the overall defect elimination progress. (3) Data accuracy is insufficient. When manually performing resistance-temperature and current-temperature conversion, calculation errors are easy to occur. The error value is often ≥0.5℃, which may lead to misjudgment of faults. (4) Data management efficiency is low. Paper records are easy to be lost or damaged. Electronic entry is time-consuming and prone to errors. Historical fault data query response is slow. (5) Poor adaptability. It cannot meet the high concurrency scenario of multiple personnel working at the same time. Moreover, the training cycle for new employees is long and the labor cost is high. (6) The average time for a single defect elimination is 170 minutes. With the expansion of the power grid and the increase in equipment operation and maintenance needs, the traditional defect elimination method is difficult to match the actual needs of efficient operation and maintenance. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide a fault diagnosis and location method and system for a main transformer oil temperature measurement system, which can significantly shorten the main transformer fault elimination time and improve the accuracy of temperature calculation and anomaly diagnosis.

[0005] To achieve the above objectives, the present invention is implemented using the following technical solution:

[0006] In a first aspect, embodiments of the present invention provide a method for fault diagnosis and location of a main transformer oil temperature measurement system, comprising:

[0007] Acquire the current data from the temperature transmitter, the resistance data from the temperature sensor, and the temperature data displayed in the background of the main transformer oil temperature measurement system;

[0008] Based on the current data of the temperature transmitter, and the linear relationship between temperature and current of the temperature transmitter, the first theoretical temperature is calculated.

[0009] Based on the resistance data of the temperature sensor, and using the temperature and resistance characteristic formula of the temperature sensor, the second theoretical temperature is calculated.

[0010] By combining the first deviation between the temperature data displayed in the background and the first theoretical temperature, and the second deviation between the first theoretical temperature and the second theoretical temperature, the fault diagnosis and location results of the main transformer oil temperature measurement system are obtained.

[0011] In some embodiments of the present invention, the temperature transmitter is used to convert the resistance signal of the temperature sensor into a standard 4mA-20mA current signal;

[0012] The linear relationship between temperature and current of the temperature transmitter is as follows:

[0013] ;

[0014] in, Indicates the first theoretical temperature. This indicates the current data of the temperature transmitter; This indicates the upper limit of the temperature range of the temperature transmitter. This indicates the lower limit of the temperature range of the temperature transmitter.

[0015] In some embodiments of the present invention, the temperature sensor is a PT100 platinum resistance thermometer;

[0016] The temperature and resistance characteristics of the temperature sensor are expressed by the following formula:

[0017] , ;

[0018] , ;

[0019] in, Indicates the second theoretical temperature; This represents the resistance data of the temperature sensor; , and All are constants. , , ; This indicates the nominal resistance value of the PT100 platinum resistance thermometer at 0°C. .

[0020] In some embodiments of this invention, by combining the first deviation between the background displayed temperature data and the first theoretical temperature, and the second deviation between the first theoretical temperature and the second theoretical temperature, the fault diagnosis and location results of the main transformer oil temperature measurement system are obtained, including:

[0021] If the first deviation or the second deviation is greater than the preset first absolute threshold, the main transformer oil temperature measurement system is determined to be faulty.

[0022] If both the first deviation and the second deviation are less than the preset second absolute threshold, the main transformer oil temperature measurement system is determined to be normal.

[0023] In some embodiments of the present invention, the first absolute threshold is 3°C; the second absolute threshold is 1°C.

[0024] In some embodiments of the present invention, the fault diagnosis and location results of the main transformer oil temperature measurement system are obtained by combining the first deviation between the background displayed temperature data and the first theoretical temperature, and the second deviation between the first theoretical temperature and the second theoretical temperature. The method further includes: if the main transformer oil temperature measurement system is determined to be faulty, the fault location of the main transformer oil temperature measurement system is performed.

[0025] Fault location for the main transformer oil temperature measurement system includes:

[0026] If the first deviation is greater than a preset first relative threshold and the second deviation is less than or equal to a preset second relative threshold, then the background system of the main transformer oil temperature measurement system is determined to be faulty.

[0027] If the first deviation is less than or equal to the second relative threshold, and the second deviation is greater than the first relative threshold, then the resistance measurement circuit of the main transformer oil temperature measurement system is determined to be faulty.

[0028] If both the first deviation and the second deviation are greater than the first relative threshold, the temperature transmitter of the main transformer oil temperature measurement system is determined to be faulty.

[0029] Wherein, the first relative threshold is greater than the second relative threshold.

[0030] In some embodiments of the present invention, the first relative threshold is a deviation of 5% relative to the first theoretical temperature; the second relative threshold is a deviation of 3% relative to the first theoretical temperature.

[0031] Secondly, the present invention also provides a fault diagnosis and location system for a main transformer oil temperature measurement system, the system comprising:

[0032] The data acquisition module is used to acquire the current data of the temperature transmitter, the resistance data of the temperature sensor, and the temperature data displayed in the background of the main transformer oil temperature measurement system.

[0033] The first theoretical temperature calculation module is used to calculate the first theoretical temperature based on the current data of the temperature transmitter and the linear relationship between the temperature and current of the temperature transmitter.

[0034] The second theoretical temperature calculation module is used to calculate the second theoretical temperature based on the resistance data of the temperature sensor and the temperature and resistance characteristic formula of the temperature sensor.

[0035] The fault diagnosis and location module is used to combine the first deviation between the temperature data displayed in the background and the first theoretical temperature, and the second deviation between the first theoretical temperature and the second theoretical temperature, to obtain the fault diagnosis and location results of the main transformer oil temperature measurement system.

[0036] In some embodiments of the present invention, the system further includes a parameter verification module, a data storage and query module, and a diagnostic report output module;

[0037] The parameter verification module is used to perform numerical range validity verification, mandatory field verification, and calculation precondition verification on the data received by the data acquisition module.

[0038] The data storage and query module is used to implement local caching, remote persistent storage, and querying of data;

[0039] The diagnostic report output module is used to visually display the fault diagnosis and location results of the main transformer oil temperature measurement system.

[0040] In some embodiments of the present invention, the fault diagnosis and location system of the main transformer oil temperature measurement system is applied to a mini-program.

[0041] Compared with the prior art, the above-described technical solution of the present invention has the following advantages:

[0042] The fault diagnosis and location method for the main transformer oil temperature measurement system provided by this invention simplifies the main transformer oil temperature troubleshooting process, reduces reliance on operator experience, and significantly shortens troubleshooting time. By utilizing the physical characteristics of temperature transmitters and temperature sensors for cross-calculation and comparison, it effectively avoids misjudgment caused by single signal distortion and significantly improves fault diagnosis accuracy. Through a dual judgment mechanism of first deviation and second deviation, it not only realizes the state classification of the main transformer oil temperature measurement system, but also further locates the specific location of the fault when it occurs, greatly improving operation and maintenance efficiency and the targeted nature of fault handling. Attached Figure Description

[0043] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention, and those skilled in the art can obtain other embodiments based on these drawings without creative effort.

[0044] Figure 1 This is a flowchart illustrating a fault diagnosis and location method for a main transformer oil temperature measurement system provided in an embodiment of the present invention.

[0045] Figure 2 This is a structural block diagram of a fault diagnosis and location system for a main transformer oil temperature measurement system provided in an embodiment of the present invention;

[0046] Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0047] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0048] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0049] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of this application. It should also be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale. Techniques, methods, and devices known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and devices should be considered part of the specification. In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters in the following drawings denote similar items; therefore, once an item is defined in one drawing, it need not be further discussed in subsequent drawings.

[0050] like Figure 1 As shown, the embodiments of the present invention provide a fault diagnosis and location method for a main transformer oil temperature measurement system. Figure 1 This is a flowchart illustrating a fault diagnosis and location method for a main transformer oil temperature measurement system. This flowchart merely shows the logical sequence of the method in this embodiment of the invention. Provided there are no conflicts, other possible embodiments created by this invention may use different methods. Figure 1 Complete the steps shown or described in the order indicated.

[0051] See Figure 1 The method of this invention specifically includes the following steps:

[0052] Step S101: Obtain the current data of the temperature transmitter, the resistance data of the temperature sensor, and the temperature data displayed in the background of the main transformer oil temperature measurement system.

[0053] The main transformer oil temperature measurement system consists of a temperature sensor, a temperature transmitter, and a background monitoring system. The temperature sensor typically uses a PT100 platinum resistance thermometer, whose resistance changes with temperature. The PT100 platinum resistance thermometer is directly immersed in the transformer oil to sense the temperature of the top layer oil. The temperature transmitter converts the resistance signal from the PT100 platinum resistance thermometer into a current signal, enabling long-distance, interference-resistant signal transmission. The analog signal acquired by the temperature transmitter undergoes analog-to-digital conversion and calculation processing, ultimately assembling it into a network data packet and sending it to the background monitoring system. The background monitoring system receives and parses the network packets, converting the data into intuitive temperature values ​​for graphical display, storage, and over-limit warnings.

[0054] The resistance data of the temperature sensor can be measured with a multimeter, and the current data of the temperature transmitter can be measured with a clamp meter.

[0055] Step S102: Calculate the first theoretical temperature based on the current data of the temperature transmitter and the linear relationship between temperature and current of the temperature transmitter.

[0056] Temperature transmitters are used to convert the resistance signal from a temperature sensor into a standard 4mA-20mA current signal.

[0057] The linear relationship between temperature and current in a temperature transmitter is as follows:

[0058] ;

[0059] in, Indicates the first theoretical temperature. This indicates the current data of the temperature transmitter; This indicates the upper limit of the temperature range of the temperature transmitter. This indicates the lower limit of the temperature range of the temperature transmitter; the temperature range of the temperature transmitter can be read directly from the nameplate of the temperature transmitter.

[0060] Step S103: Calculate the second theoretical temperature based on the resistance data of the temperature sensor and the temperature-resistance characteristic formula of the temperature sensor.

[0061] In this embodiment of the invention, the temperature sensor is a PT100 platinum resistance thermometer.

[0062] The formula for the temperature and resistance characteristics of a temperature sensor is as follows:

[0063] , ;

[0064] , ;

[0065] in, Indicates the second theoretical temperature; This represents the resistance data of the temperature sensor; , and All are constants. , , ; This indicates the nominal resistance value of the PT100 platinum resistance thermometer at 0°C. .

[0066] (correspond When the temperature sensor's temperature and resistance characteristics are expressed, the formula is a quadratic polynomial, which can be solved directly by solving a quadratic equation. ; (correspond When the temperature sensor's temperature and resistance characteristics are expressed as a fourth-order polynomial, the solution can be indirectly obtained using Newton-Raphson numerical iterative fitting. .

[0067] Step S104: Combine the first deviation between the temperature data displayed in the background and the first theoretical temperature, and the second deviation between the first theoretical temperature and the second theoretical temperature, to obtain the fault diagnosis and location results of the main transformer oil temperature measurement system.

[0068] First, the fault diagnosis results of the main transformer oil temperature measurement system are obtained through the first and second deviations. The specific process is as follows:

[0069] If either the first deviation or the second deviation is greater than the preset first absolute threshold, the main transformer oil temperature measurement system is determined to be faulty; if both the first deviation and the second deviation are less than the preset second absolute threshold, the main transformer oil temperature measurement system is determined to be normal; otherwise, the main transformer oil temperature measurement system is determined to be slightly faulty.

[0070] For the main transformer oil temperature measurement system in a minor fault state, no further fault location operations are required, but the status of the main transformer oil temperature measurement system needs to be paid more attention to, for example, by increasing the frequency of fault diagnosis.

[0071] In this embodiment of the invention, the first absolute threshold is set to 3°C and the second absolute threshold is set to 1°C.

[0072] In other embodiments of the invention, the first absolute threshold and the second absolute threshold can be set to other values, and there are no restrictions on this.

[0073] Subsequently, if the main transformer oil temperature measurement system is determined to be faulty, the fault location of the main transformer oil temperature measurement system will be performed.

[0074] The specific steps for fault location in the main transformer oil temperature measurement system include:

[0075] Step S1041: If the first deviation is greater than the preset first relative threshold and the second deviation is less than or equal to the preset second relative threshold, then the background system of the main transformer oil temperature measurement system is determined to be faulty.

[0076] Step S1042: If the first deviation is less than or equal to the second relative threshold and the second deviation is greater than the first relative threshold, then the resistance measurement circuit of the main transformer oil temperature measurement system is determined to be faulty.

[0077] Step S1043: If both the first deviation and the second deviation are greater than the first relative threshold, then the temperature transmitter of the main transformer oil temperature measurement system is determined to be faulty.

[0078] In this embodiment of the invention, the first relative threshold is set to a deviation of 5% relative to the first theoretical temperature; the second relative threshold is set to a deviation of 3% relative to the first theoretical temperature.

[0079] In other embodiments of the invention, the first relative threshold and the second relative threshold can be set to other values, and there is no limitation thereto.

[0080] The embodiments of this invention also provide a fault diagnosis and location system for a main transformer oil temperature measurement system. The solution provided by this system is similar to the solution described in the fault diagnosis and location method for the main transformer oil temperature measurement system above. Therefore, the specific limitations in the embodiments of the fault diagnosis and location system for the main transformer oil temperature measurement system provided below can be found in the limitations of the fault diagnosis and location method for the main transformer oil temperature measurement system described above, and will not be repeated here.

[0081] See Figure 2 The fault diagnosis and location system of the main transformer oil temperature measurement system in this embodiment of the invention specifically includes:

[0082] The data acquisition module is used to acquire the current data of the temperature transmitter, the resistance data of the temperature sensor, and the temperature data displayed in the background of the main transformer oil temperature measurement system.

[0083] The first theoretical temperature calculation module is used to calculate the first theoretical temperature based on the current data of the temperature transmitter and the linear relationship between the temperature and current of the temperature transmitter.

[0084] The second theoretical temperature calculation module is used to calculate the second theoretical temperature based on the resistance data of the temperature sensor and the temperature and resistance characteristic formula of the temperature sensor.

[0085] The fault diagnosis and location module is used to combine the first deviation between the temperature data displayed in the background and the first theoretical temperature, and the second deviation between the first theoretical temperature and the second theoretical temperature, to obtain the fault diagnosis and location results of the main transformer oil temperature measurement system.

[0086] In some embodiments of the invention, the system further includes a parameter verification module, a data storage and query module, and a diagnostic report output module.

[0087] The parameter verification module is used to verify the validity of the numerical range of the data received by the data acquisition module (e.g., the current range is limited to 4mA~20mA, and the resistance value is a positive integer), the verification of required fields (e.g., at least one temperature calculation must be completed before diagnosis), and the verification of preconditions for calculation, so as to avoid invalid calculations.

[0088] The data storage and query module is used to implement local caching, remote persistent storage, and querying of data.

[0089] The diagnostic report output module is used to visually display the fault diagnosis and location results of the main transformer oil temperature measurement system.

[0090] In this embodiment of the invention, the system is deployed on a mini-program platform. The reason for choosing to deploy on the mini-program is that the response speed of the mini-program is better than that of the web page (the average response time of the mini-program is 115ms, while that of the web page is 195ms).

[0091] This invention introduces the concept of a state machine, automating the scheduling of the calculation process through front-end state management in a mini-program. After the user completes data input and passes validation, the system automatically triggers the core calculation module without manual intervention; the calculation results are updated to the interface in real time, reducing the number of page jumps. Through a well-designed page layout, input, calculation, diagnostic, and query functions are integrated into a single interface, optimizing the user's workflow and avoiding frequent page switching.

[0092] The first theoretical temperature calculation module, the second theoretical temperature calculation module, and the fault diagnosis and location module are all deployed on the front end of the mini-program. They are lightweight calculations based on JavaScript, do not rely on the network, and are suitable for unstable network scenarios in substations.

[0093] The storage architecture adopts a combination of "MySQL database + local cache API". MySQL is responsible for the persistent storage of historical data, while the local cache API enables fast reading and writing of frequently used data (such as temperature transmitter model parameters and diagnostic standard library).

[0094] Database design: Design equipment information table, calculation result table, and fault record table. Support data filtering by multiple conditions such as equipment manufacturer, model, time, and equipment ID. Use list pagination loading mode to improve query efficiency.

[0095] A data synchronization mechanism is employed. Upon first opening of the mini-program, basic data such as the diagnostic standard library and threshold rules are automatically initialized to the local cache. After each calculation, the fault diagnosis and location results are synchronized to the MySQL database in real time to ensure data security and consistency. Drawing inspiration from the resource allocation approach of intelligent power output, mini-program debouncing is used to avoid invalid calculations caused by frequent user operations. Calculation tasks are executed asynchronously, with time-consuming segmented fitting calculations placed in background threads to avoid blocking user interaction.

[0096] Deviation threshold rules and fault matching rules are embedded into the mini-program's localStorage in JSON format, with a data size of only about 2KB, ensuring that basic diagnosis can still be completed offline.

[0097] It has a pre-stored parameter library for mainstream temperature transmitter models (such as STT-A1-PT3-1, STT-A1-PT4-1, STT-A1-PTX-1, NKB-24D), and supports adding custom parameters for special models.

[0098] The mini-program of this invention is compatible with mainstream mobile terminals and industrial tablets, supports Android and iOS systems, and can run without the need for additional plugins.

[0099] An embodiment of the present invention also provides a non-transitory machine-readable medium storing a computer program, wherein the computer program, when executed by a computer processor, is used to cause the computer to perform a fault diagnosis and location method for a main transformer oil temperature measurement system according to an embodiment of the present invention.

[0100] An embodiment of the present invention also provides a computer program product, including a computer program, wherein the computer program, when executed by a computer processor, is used to cause the computer to perform the fault diagnosis and location method of the main transformer oil temperature measurement system of the embodiment of the present invention.

[0101] An embodiment of the present invention also provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor. The memory stores a computer program executable by the at least one processor, which, when executed by the at least one processor, causes the electronic device to perform the fault diagnosis and location method of the main transformer oil temperature measurement system according to an embodiment of the present invention.

[0102] refer to Figure 3 The present invention will now describe a structural block diagram of an electronic device that can serve as an embodiment of the present invention, serving as an example of a hardware device applicable to various aspects of the present invention. The electronic device is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0103] like Figure 3As shown, the electronic device includes a computing unit 101, which can perform various appropriate actions and processes based on a computer program stored in a read-only memory (ROM) 102 or a computer program loaded from a storage unit 108 into a random access memory (RAM) 103. The RAM 103 may also store various programs and data required for the operation of the electronic device. The computing unit 101, ROM 102, and RAM 103 are interconnected via a bus 104. An input / output (I / O) interface 105 is also connected to the bus 104.

[0104] Multiple components in the electronic device are connected to I / O interface 105, including: input unit 106, output unit 107, storage unit 108, and communication unit 109. Input unit 106 can be any type of device capable of inputting information into the electronic device. Input unit 106 can receive input digital or character information and generate key signal inputs related to user settings and / or function control of the electronic device. Output unit 107 can be any type of device capable of presenting information and may include, but is not limited to, a display, speaker, video / audio output terminal, vibrator, and / or printer. Storage unit 108 may include, but is not limited to, disks and optical discs. Communication unit 109 allows the electronic device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, and / or wireless communication transceivers, such as Bluetooth devices, WiFi devices, WiMax devices, cellular communication devices, and / or the like.

[0105] The computing unit 101 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 101 include, but are not limited to, CPUs, graphics processing units (GPUs), various special-purpose artificial intelligence (AI) computing units, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. The computing unit 101 performs the various methods and processes described above. For example, in some embodiments, the method embodiments of the present invention can be implemented as computer programs tangibly contained in a machine-readable medium, such as storage unit 108. In some embodiments, part or all of the computer program can be loaded and / or installed on an electronic device via ROM 102 and / or communication unit 109. In some embodiments, the computing unit 101 can be configured to perform the methods described above by any other suitable means (e.g., by means of firmware).

[0106] Computer programs for implementing the methods of embodiments of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0107] In the context of embodiments of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable signal medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, or infrared systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0108] It should be noted that the term "comprising" and its variations used in the embodiments of this invention are open-ended, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The modifications of "one" and "a plurality" mentioned in the embodiments of this invention are illustrative and not restrictive, and those skilled in the art should understand that unless explicitly indicated otherwise in the context, they should be understood as "one or more".

[0109] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the embodiments of this invention are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation entry points are provided for users to choose to authorize or refuse.

[0110] The steps described in the method embodiments provided by the present invention can be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of protection of the present invention is not limited in this respect.

[0111] The term "embodiment" in this specification refers to a specific feature, structure, or characteristic described in connection with an embodiment that may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily imply the same embodiment, nor does it imply independence or alternativeity from other embodiments. The various embodiments in this specification are described in a related manner, with reference to each other for similar or identical parts. In particular, for apparatus, device, and system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, and relevant details are referred to in the description of the method embodiments.

[0112] The above embodiments merely illustrate several implementation methods of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of protection. It should be noted that those skilled in the art can make various modifications and improvements without departing from the inventive concept of the present invention, and these all fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the appended claims.

Claims

1. A method for fault diagnosis and location of a main oil temperature measurement system, characterized in that, include: Acquire the current data from the temperature transmitter, the resistance data from the temperature sensor, and the temperature data displayed in the background of the main transformer oil temperature measurement system; Based on the current data of the temperature transmitter, and the linear relationship between temperature and current of the temperature transmitter, the first theoretical temperature is calculated. Based on the resistance data of the temperature sensor, and using the temperature and resistance characteristic formula of the temperature sensor, the second theoretical temperature is calculated. By combining the first deviation between the temperature data displayed in the background and the first theoretical temperature, and the second deviation between the first theoretical temperature and the second theoretical temperature, the fault diagnosis and location results of the main transformer oil temperature measurement system are obtained.

2. The fault diagnosis and location method for the main transformer oil temperature measurement system according to claim 1, characterized in that, The temperature transmitter is used to convert the resistance signal of the temperature sensor into a standard 4mA-20mA current signal; The linear relationship between temperature and current of the temperature transmitter is as follows: ； in, Indicates the first theoretical temperature. This indicates the current data of the temperature transmitter; This indicates the upper limit of the temperature range of the temperature transmitter. This indicates the lower limit of the temperature range of the temperature transmitter.

3. The fault diagnosis and location method for the main transformer oil temperature measurement system according to claim 1, characterized in that, The temperature sensor is a PT100 platinum resistance thermometer; The temperature and resistance characteristics of the temperature sensor are expressed by the following formula: ， ； ， ； in, Indicates the second theoretical temperature; This represents the resistance data of the temperature sensor; , and All are constants. , , ; This indicates the nominal resistance value of the PT100 platinum resistance thermometer at 0°C. .

4. The fault diagnosis and location method for the main transformer oil temperature measurement system according to claim 1, characterized in that, Combining the first deviation between the temperature data displayed in the background and the first theoretical temperature, and the second deviation between the first theoretical temperature and the second theoretical temperature, the fault diagnosis and location results of the main transformer oil temperature measurement system are obtained, including: If the first deviation or the second deviation is greater than the preset first absolute threshold, the main transformer oil temperature measurement system is determined to be faulty. If both the first deviation and the second deviation are less than the preset second absolute threshold, the main transformer oil temperature measurement system is determined to be normal.

5. The fault diagnosis and location method for the main transformer oil temperature measurement system according to claim 4, characterized in that, The first absolute threshold is 3℃; the second absolute threshold is 1℃.

6. The fault diagnosis and location method for the main transformer oil temperature measurement system according to claim 4, characterized in that, Combining the first deviation between the temperature data displayed in the background and the first theoretical temperature, and the second deviation between the first theoretical temperature and the second theoretical temperature, the fault diagnosis and location results of the main transformer oil temperature measurement system are obtained. The method also includes: if the main transformer oil temperature measurement system is determined to be faulty, the fault location of the main transformer oil temperature measurement system is performed. Fault location for the main transformer oil temperature measurement system includes: If the first deviation is greater than a preset first relative threshold and the second deviation is less than or equal to a preset second relative threshold, then the background system of the main transformer oil temperature measurement system is determined to be faulty. If the first deviation is less than or equal to the second relative threshold, and the second deviation is greater than the first relative threshold, then the resistance measurement circuit of the main transformer oil temperature measurement system is determined to be faulty. If both the first deviation and the second deviation are greater than the first relative threshold, the temperature transmitter of the main transformer oil temperature measurement system is determined to be faulty. Wherein, the first relative threshold is greater than the second relative threshold.

7. The fault diagnosis and location method for the main transformer oil temperature measurement system according to claim 6, characterized in that, The first relative threshold is a deviation of 5% relative to the first theoretical temperature; the second relative threshold is a deviation of 3% relative to the first theoretical temperature.

8. A fault diagnosis and location system for a main transformer oil temperature measurement system, characterized in that, The system includes: The data acquisition module is used to acquire the current data of the temperature transmitter, the resistance data of the temperature sensor, and the temperature data displayed in the background of the main transformer oil temperature measurement system. The first theoretical temperature calculation module is used to calculate the first theoretical temperature based on the current data of the temperature transmitter and the linear relationship between the temperature and current of the temperature transmitter. The second theoretical temperature calculation module is used to calculate the second theoretical temperature based on the resistance data of the temperature sensor and the temperature and resistance characteristic formula of the temperature sensor. The fault diagnosis and location module is used to combine the first deviation between the temperature data displayed in the background and the first theoretical temperature, and the second deviation between the first theoretical temperature and the second theoretical temperature, to obtain the fault diagnosis and location results of the main transformer oil temperature measurement system.

9. The fault diagnosis and location system for the main transformer oil temperature measurement system according to claim 8, characterized in that, The system also includes a parameter verification module, a data storage and query module, and a diagnostic report output module; The parameter verification module is used to perform numerical range validity verification, mandatory field verification, and calculation precondition verification on the data received by the data acquisition module. The data storage and query module is used to implement local caching, remote persistent storage, and querying of data; The diagnostic report output module is used to visually display the fault diagnosis and location results of the main transformer oil temperature measurement system.

10. The fault diagnosis and location system for the main transformer oil temperature measurement system according to claim 8 or 9, characterized in that, The fault diagnosis and location system of the main transformer oil temperature measurement system is applied to a mini-program.

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