Method and system for temperature monitoring and fault judgment of transformer

Abstract

The invention discloses a transformer temperature monitoring and fault judgment method and system, and relates to the technical field of transformer temperature monitoring, and the method comprises the steps: obtaining a transformer three-dimensional simulation model, calibrating a monitoring point on the three-dimensional simulation model, and optimizing the position of the monitoring point; temperature sensors are arranged at the positions, corresponding to the transformers, of the optimized monitoring points, the positions, corresponding to the transformers, of the optimized monitoring points are numbered in a unified mode, and number information is obtained; according to the position of a monitoring point, a temperature sensor is arranged on the transformer, an acquisition instruction is sent to the temperature sensor, the temperature sensor acquires temperature information, number information and time are recorded, a temperature information table is generated, the temperature information table is input into the transformer three-dimensional simulation model, and a transformer temperature field is generated. By optimizing the positions of the monitoring points, the temperature monitoring points are more accurate, the temperature sensors are grouped to work, more comprehensive temperature data can be collected at a time, and the use frequency of the temperature sensors is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of transformer temperature monitoring, and in particular to a method and system for transformer temperature monitoring and fault judgment. Background Art

[0002] As the core equipment of the power system, the efficient and safe operation of the transformer plays a vital role in the operation and development of the power industry. The working life of the transformer depends on the internal insulation performance, and thermal aging is the main factor affecting the deterioration of its insulation performance. Therefore, the working life of the transformer is closely related to its internal temperature rise.

[0003] At present, the Chinese invention application No. 202311315330 discloses a method and device for monitoring the temperature of the conductor inside the excitation transformer cabinet. Although it solves the problem of real-time monitoring of the temperature of the internal conductor and obtains a large amount of temperature data, it is time-consuming and labor-intensive to screen the abnormal temperature data. There is also a technical problem that the temperature monitoring device is inconsistent with the real-time temperature of the conductor. It is difficult to intuitively see the location and component type of the temperature abnormality, so as to locate the component with abnormal temperature. Moreover, the temperature sensor needs to be powered, and it is easy to be damaged after long-term and frequent use. Moreover, the temperature sensor inside the transformer is difficult to replace. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is that it is difficult to intuitively see the location and component type of temperature anomaly in the prior art, so as to locate the component with temperature anomaly.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a method for transformer temperature monitoring and fault judgment, which includes: obtaining a three-dimensional simulation model of the transformer, calibrating monitoring points on the three-dimensional simulation model, and optimizing the positions of the monitoring points; setting temperature sensors one by one at the positions corresponding to the optimized monitoring points and the transformer, and uniformly numbering the optimized monitoring points and the positions corresponding to the transformer to obtain numbering information; grouping the temperature sensors according to the components of the transformer, obtaining the grouped primary numbering group, and obtaining the secondary numbering group according to the positions of the temperature sensors; sending collection instructions to the temperature sensors according to the primary numbering group and the secondary numbering group, and the temperature sensors corresponding to the numbering information in the primary numbering group and the secondary numbering group collect temperature information, and record the numbering information and time to generate a temperature information table; inputting the temperature information table into the three-dimensional simulation model of the transformer to generate a transformer temperature field, and judging the transformer fault according to the transformer temperature field.

[0007] As a preferred solution of the method for transformer temperature monitoring and fault judgment described in the present invention, the optimization of the monitoring point position includes: obtaining a three-dimensional simulation model of the transformer, calibrating the monitoring point on the three-dimensional simulation model, and defining the monitoring range in the vicinity of the monitoring according to the temperature sensor range; inputting a virtual temperature value at the monitoring point position, bringing it into the three-dimensional simulation model of the transformer, and using different color values ​​to represent different temperatures to form a transformer temperature field; observing whether there is a detection blind area or a detection overlap area in the transformer temperature field, and if there is a detection blind area or a detection overlap area, adjusting the temperature sensor monitoring point position until there is no detection blind area or detection overlap area in the transformer temperature field, thereby completing the optimization of the monitoring point position.

[0008] As a preferred solution of the method for transformer temperature monitoring and fault judgment described in the present invention, the method of obtaining the numbering information includes setting temperature sensors one by one at the positions corresponding to the optimized monitoring points and the transformers; uniformly numbering the optimized monitoring points and the positions corresponding to the transformers to obtain the numbering information; using a synchronous signal transmitter to send a detection instruction to each temperature sensor; each temperature sensor receives the detection instruction, detects the temperature signal at the same time, and feeds back the current temperature signal, and records the feedback time and the numbering information of the temperature sensor in real time.

[0009] As a preferred solution of the method for transformer temperature monitoring and fault judgment described in the present invention, wherein: the primary grouping includes performing a primary grouping on the temperature sensors installed on the transformer components to obtain the primary numbering group after grouping; the secondary numbering group includes dividing the temperature sensors except the primary numbering group and other temperature sensors distributed on the transformer as a whole into external sensors and internal sensors, and the secondary numbering group includes secondary numbering group one, secondary numbering group two, secondary numbering group three, secondary numbering group four, secondary numbering group five, secondary numbering group six, secondary numbering group seven, secondary numbering group eight, and secondary numbering group nine, and the external sensor located on the outer surface of the transformer is taken as secondary numbering group one; the space located inside the transformer is gridded from the geometric center point and divided into eight regular hexahedrons, and the internal sensors in each regular hexahedron are numbered, namely secondary numbering group two, secondary numbering group three, secondary numbering group four, secondary numbering group five, secondary numbering group six, secondary numbering group seven, secondary numbering group eight, and secondary numbering group nine.

[0010] As a preferred solution of the method for transformer temperature monitoring and fault diagnosis described in the present invention, wherein: the sending of collection instructions to the temperature sensor includes setting the collection interval of the primary numbering group as a first interval, setting the collection interval of the secondary numbering group one as a second interval, setting the collection interval of the secondary numbering group two, secondary numbering group three, secondary numbering group four, secondary numbering group five, secondary numbering group six, secondary numbering group seven, secondary numbering group eight and secondary numbering group nine as a third interval, and the first interval is smaller than the second interval and smaller than the third interval; every first interval, the time synchronization signal transmitter sends a detection instruction to the primary numbering group, and the temperature sensor corresponding to the numbering information in the primary numbering group collects temperature information, and records the numbering information and time to generate a temperature information table; every first interval, The time synchronization signal transmitter at two intervals sends a detection instruction to the secondary number group one, and the temperature sensor corresponding to the number information in the secondary number group one collects temperature information, records the number information and time, and generates a temperature information table; the time synchronization signal transmitter at every third interval sends a detection instruction to one of the secondary number group two, secondary number group three, secondary number group four, secondary number group five, secondary number group six, secondary number group seven, secondary number group eight and secondary number group nine in turn, and the secondary number group two, secondary number group three, secondary number group four, secondary number group five, secondary number group six, secondary number group seven, secondary number group eight and secondary number group nine receive the detection instruction and the temperature sensor corresponding to the number information collects temperature information, records the number information and time, and generates a temperature information table.

[0011] As a preferred solution of the method for transformer temperature monitoring and fault judgment described in the present invention, the generating of the transformer temperature field includes: corresponding each temperature signal to the three-dimensional simulation model of the transformer, and using different color values ​​to represent different temperatures to form the temperature field of the three-dimensional simulation model of the transformer; respectively setting the first temperature threshold group and the second temperature threshold group of all monitoring points of the transformer, and the first temperature threshold group is smaller than the second temperature threshold group; extracting the number information and temperature information in the corresponding temperature information table of the primary number group, the secondary number group two, the secondary number group three, the secondary number group four, the secondary number group five, the secondary number group six, the secondary number group seven, the secondary number group eight, and the secondary number group nine in real time, and comparing it with the first temperature threshold corresponding to the number information in the first temperature threshold group; if the temperature information is smaller than the first temperature threshold, it indicates a normal state; if the temperature information is greater than the first temperature threshold, it indicates a temperature abnormality.

[0012] As a preferred solution of the method for transformer temperature monitoring and fault judgment described in the present invention, the transformer fault judgment includes: if there is a temperature abnormality, the time synchronization signal transmitter sends a detection instruction to all temperature sensors at the same time, all temperature sensors collect temperature information, and record the number information and time, generate a new temperature information table, input the new temperature information table into the transformer three-dimensional simulation model, and generate the transformer temperature field; compare the number information and temperature information in the new temperature information table with the second temperature threshold corresponding to the number information in the first temperature threshold group, if the temperature information is greater than the second temperature threshold, it is indicated as a fault state.

[0013] Another object of the present invention is to provide a system for transformer temperature monitoring and fault diagnosis, which can monitor the transformer temperature in real time and perform fault diagnosis on the transformer.

[0014] To solve the above technical problems, the present invention provides the following technical solutions: a system for a method for transformer temperature monitoring and fault judgment, comprising: a monitoring point optimization module, a numbering module, a collection module and a fault judgment module; the monitoring point optimization module obtains a three-dimensional simulation model of the transformer, calibrates monitoring points on the three-dimensional simulation model, and optimizes the positions of the monitoring points, and sets temperature sensors one by one at the positions corresponding to the optimized monitoring points and the transformer; the numbering module uniformly numbers the optimized monitoring points and the positions corresponding to the transformer, obtains numbering information, groups the temperature sensors once according to the components of the transformer, obtains the grouped primary numbering group, and obtains the secondary numbering group according to the position of the temperature sensor; the collection module sends a collection instruction to the temperature sensor according to the primary numbering group and the secondary numbering group, and the temperature sensors corresponding to the numbering information in the primary numbering group and the secondary numbering group collect temperature information, and record the numbering information and time to generate a temperature information table; the fault judgment module inputs the temperature information table into the three-dimensional simulation model of the transformer, generates a transformer temperature field, and judges the transformer fault according to the transformer temperature field.

[0015] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned method for transformer temperature monitoring and fault judgment when executing the computer program.

[0016] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for transformer temperature monitoring and fault judgment as described above.

[0017] The beneficial effects of the present invention are as follows: the present invention optimizes the monitoring point positions to make the temperature monitoring points more accurate; according to the monitoring point positions, a temperature sensor is arranged on the transformer; a collection instruction is sent to the temperature sensor; the temperature sensor collects temperature information, and records the number information and time; a temperature information table is generated; the temperature information table is input into a three-dimensional simulation model of the transformer; a transformer temperature field is generated; the transformer temperature field is helpful for intuitively observing the position and component type of temperature anomalies, thereby locating components with temperature anomalies.

[0018] By grouping the temperature sensors and working separately, more comprehensive temperature data can be collected at one time, which is conducive to reducing the frequency of use of temperature sensors and reducing damage to temperature sensors, thereby reducing the problem of replacing temperature sensors inside the transformer. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0020] Figure 1 This is a flow chart of a method for transformer temperature monitoring and fault diagnosis in Example 1.

[0021] Figure 2 This is a module structure diagram of a transformer temperature monitoring and fault diagnosis system in Example 2. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0023] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0024] Example 1, reference Figure 1 , which is the first embodiment of the present invention, and provides a method for transformer temperature monitoring and fault judgment, including: Figure 1 As shown:

[0025] Step 1: Obtain a three-dimensional simulation model of the transformer, calibrate monitoring points on the three-dimensional simulation model, and optimize the positions of the monitoring points.

[0026] Optimizing the location of the monitoring points includes obtaining a three-dimensional simulation model of the transformer, calibrating the monitoring points on the three-dimensional simulation model, and defining the monitoring range in the vicinity of the monitoring point according to the range of the temperature sensor;

[0027] Input the virtual temperature value at the monitoring point, bring it into the three-dimensional simulation model of the transformer, and use different color values ​​to represent different temperatures to form the transformer temperature field;

[0028] Observe whether there are any detection blind spots or detection overlap areas in the transformer temperature field. If there are detection blind spots or detection overlap areas, adjust the position of the temperature sensor monitoring point until there are no detection blind spots or detection overlap areas in the transformer temperature field, and complete the optimization of the monitoring point position.

[0029] In the present invention, preferably, a temperature sensor can only detect a range of temperatures, and even the same components on the transformer may have uneven temperature distribution, and it is necessary to completely cover all parts of the components, which is conducive to eliminating detection blind spots or detection overlap areas, so that the transformer temperature field reflects the location and component type of temperature anomalies more accurately.

[0030] Step 2: Set temperature sensors one by one at the optimized monitoring points and the positions corresponding to the transformers, and uniformly number the optimized monitoring points and the positions corresponding to the transformers to obtain number information.

[0031] The synchronous signal transmitter is used to send detection instructions to each temperature sensor, and each temperature sensor receives the detection instruction, detects the temperature signal at the same time, and feeds back the current temperature signal, and records the feedback time and the number information of the temperature sensor in real time. Using the synchronous signal transmitter to send detection instructions to each temperature sensor is conducive to ensuring the synchronization of the temperature signal.

[0032] Step 3: Group the temperature sensors according to the components of the transformer, obtain the primary numbering group after grouping, and obtain the secondary numbering group according to the positions of the temperature sensors.

[0033] The primary grouping includes performing a primary grouping on the temperature sensors installed on the transformer components and obtaining a primary number group after the grouping.

[0034] The secondary numbering group includes, except the temperature sensors of the primary numbering group, the other temperature sensors distributed on the whole transformer are divided into external sensors and internal sensors. The secondary numbering group includes secondary numbering group one, secondary numbering group two, secondary numbering group three, secondary numbering group four, secondary numbering group five, secondary numbering group six, secondary numbering group seven, secondary numbering group eight, and secondary numbering group nine. The external sensor located on the outer surface of the transformer is regarded as secondary numbering group one.

[0035] The space inside the transformer is divided into eight regular hexahedrons by gridding from the geometric center point, and the internal sensors in each regular hexahedron are numbered as secondary number group 2, secondary number group 3, secondary number group 4, secondary number group 5, secondary number group 6, secondary number group 7, secondary number group 8, and secondary number group 9. Preferably, the present invention performs regional detection on the inside of the transformer, and more comprehensive temperature data can be collected at one time, avoiding frequent collection, which is conducive to reducing the frequency of use of temperature sensors, and can also reflect the temperature signals of various areas on the transformer.

[0036] Step 4: Send a collection instruction to the temperature sensor according to the primary number group and the secondary number group. The temperature sensors with corresponding number information in the primary number group and the secondary number group collect temperature information, record the number information and time, and generate a temperature information table.

[0037] Set the collection interval of the primary numbering group to the first interval, set the collection interval of the secondary numbering group one to the second interval, set the collection interval of the secondary numbering group two, secondary numbering group three, secondary numbering group four, secondary numbering group five, secondary numbering group six, secondary numbering group seven, secondary numbering group eight and secondary numbering group nine to the third interval, and the first interval is smaller than the second interval and smaller than the third interval (due to the completely different distribution positions of the sensors, the feedback data time will cause deviations. In order to cope with this deviation, different instruction intervals are set in advance to keep the feedback data in the same timing as much as possible).

[0038] The time synchronization signal transmitter sends a detection instruction to a primary number group at every first interval, and the temperature sensor corresponding to the number information in the primary number group collects temperature information, records the number information and time, and generates a temperature information table.

[0039] The time synchronization signal transmitter sends a detection instruction to the secondary numbering group 1 every second interval, and the temperature sensor corresponding to the numbering information in the secondary numbering group 1 collects temperature information, records the numbering information and time, and generates a temperature information table.

[0040] Every third time interval, the time synchronization signal transmitter sends a detection instruction to one of the secondary number group two, secondary number group three, secondary number group four, secondary number group five, secondary number group six, secondary number group seven, secondary number group eight and secondary number group nine in turn. The secondary number group two, secondary number group three, secondary number group four, secondary number group five, secondary number group six, secondary number group seven, secondary number group eight and secondary number group nine receive the detection instruction and the temperature sensors corresponding to the number information collect temperature information, record the number information and time, and generate a temperature information table.

[0041] Step 5: Input the temperature information table into the transformer 3D simulation model to generate the transformer temperature field, and judge the transformer fault according to the transformer temperature field.

[0042] Each temperature signal is mapped to the three-dimensional simulation model of the transformer, and different color values ​​are used to represent different temperatures, thereby forming a temperature field of the three-dimensional simulation model of the transformer.

[0043] When using color values ​​to represent different temperatures, the higher the temperature, the higher the color value, and the brighter it is, which facilitates intuitive observation of the temperature information and position of each component in the transformer temperature field.

[0044] The first temperature threshold group and the second temperature threshold group are set for all monitoring points of the transformer respectively, and the first temperature threshold group is smaller than the second temperature threshold group.

[0045] The number information and temperature information in the corresponding temperature information table of the primary number group, secondary number group two, secondary number group three, secondary number group four, secondary number group five, secondary number group six, secondary number group seven, secondary number group eight, and secondary number group nine are extracted in real time, and compared with the first temperature threshold corresponding to the number information in the first temperature threshold group. If the temperature information is less than the first temperature threshold, it indicates a normal state. If the temperature information is greater than the first temperature threshold, it indicates a temperature abnormality. Because in actual production, some abnormalities are not faults, and some abnormalities are faults, a secondary judgment is required as follows.

[0046] If there is a temperature anomaly, the time synchronization signal transmitter sends a detection instruction to all temperature sensors at the same time. All temperature sensors collect temperature information, record the number information and time, generate a new temperature information table, and input the new temperature information table into the transformer three-dimensional simulation model to generate the transformer temperature field.

[0047] The number information and temperature information in the new temperature information table are compared with the second temperature threshold corresponding to the number information in the first temperature threshold group. If the temperature information is greater than the second temperature threshold, it indicates a fault state.

[0048] All the primary numbering groups are monitoring points on the outer surface of the transformer. Frequent temperature detection on the outer surface of the transformer can timely reflect the temperature conditions of the outer surface of the transformer. Secondary numbering group two, secondary numbering group three, secondary numbering group four, secondary numbering group five, secondary numbering group six, secondary numbering group seven, secondary numbering group eight and secondary numbering group nine are sensors inside the transformer. Through group detection, the frequency of use of temperature sensors can be reduced, and the temperature signals of various components on the transformer can also be reflected. Once a temperature abnormality occurs, the time synchronization signal transmitter sends a detection instruction to all temperature sensors at the same time. All temperature sensors collect temperature information, record the numbering information and time, generate a new temperature information table, input the new temperature information table into the three-dimensional simulation model of the transformer, and generate a transformer temperature field. The transformer temperature field is conducive to intuitively observing the location and component type of temperature abnormalities, thereby locating the components with temperature abnormalities.

[0049] Example 2, reference Figure 2 , which is the second embodiment of the present invention, and is different from the previous embodiment in that: a system for a method for transformer temperature monitoring and fault judgment, comprising a monitoring point optimization module, a numbering module, a collection module and a fault judgment module; the monitoring point optimization module obtains a three-dimensional simulation model of the transformer, calibrates the monitoring points on the three-dimensional simulation model, and optimizes the positions of the monitoring points, and sets temperature sensors one by one at the positions corresponding to the optimized monitoring points and the transformer; the numbering module uniformly numbers the optimized monitoring points and the positions corresponding to the transformer, obtains the numbering information, groups the temperature sensors once according to the components of the transformer, obtains the grouped primary numbering group, and obtains the secondary numbering group according to the position of the temperature sensor; the collection module sends a collection instruction to the temperature sensor according to the primary numbering group and the secondary numbering group, and the temperature sensors corresponding to the numbering information in the primary numbering group and the secondary numbering group collect temperature information, and record the numbering information and time to generate a temperature information table; the fault judgment module inputs the temperature information table into the three-dimensional simulation model of the transformer, generates a transformer temperature field, and judges the transformer fault according to the transformer temperature field.

[0050] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0051] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0052] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0053] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0054] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for transformer temperature monitoring and fault judgment, Features: include, Obtaining a three-dimensional simulation model of the transformer, calibrating monitoring points on the three-dimensional simulation model, and optimizing the positions of the monitoring points; Temperature sensors are set one by one at the positions corresponding to the optimized monitoring points and the transformers, and the optimized monitoring points and the positions corresponding to the transformers are uniformly numbered to obtain number information; The temperature sensors are grouped once according to the components of the transformer to obtain a primary number group after the grouping, and a secondary number group is obtained according to the positions of the temperature sensors; Sending a collection instruction to the temperature sensor according to the primary number group and the secondary number group, the temperature sensor corresponding to the number information in the primary number group and the secondary number group collects temperature information, and records the number information and time to generate a temperature information table; The temperature information table is input into the three-dimensional simulation model of the transformer to generate a transformer temperature field, and the transformer fault is judged according to the transformer temperature field.

2. A method for transformer temperature monitoring and fault diagnosis as claimed in claim 1, Features: Optimizing the location of the monitoring point includes obtaining a three-dimensional simulation model of the transformer, calibrating the monitoring point on the three-dimensional simulation model, and defining a monitoring range in the vicinity of the monitoring according to the range of the temperature sensor; Input a virtual temperature value at the monitoring point, bring it into the three-dimensional simulation model of the transformer, and use different color values ​​to represent different temperatures to form a transformer temperature field; Observe whether there is a detection blind area or a detection overlap area in the transformer temperature field. If there is a detection blind area or a detection overlap area, adjust the position of the temperature sensor monitoring point until there is no detection blind area or detection overlap area in the transformer temperature field, thereby completing the optimization of the monitoring point position.

3. A method for transformer temperature monitoring and fault diagnosis as claimed in claim 2, Features: The obtaining of the numbering information includes setting temperature sensors one by one at the positions corresponding to the optimized monitoring points and the transformers; Uniformly number the optimized monitoring points and the positions corresponding to the transformers to obtain number information; Use the synchronous signal transmitter to send detection instructions to each temperature sensor; Each temperature sensor receives the detection instruction, detects the temperature signal at the same time, and feeds back the current temperature signal, and records the feedback time and the number information of the temperature sensor in real time.

4. A method for transformer temperature monitoring and fault diagnosis as claimed in claim 3, Features: The primary grouping includes performing a primary grouping on the temperature sensors installed on the transformer components and obtaining a primary number group after the grouping; The secondary numbering group includes dividing the temperature sensors distributed on the transformer as a whole except the temperature sensors of the primary numbering group into external sensors and internal sensors, and the secondary numbering group includes secondary numbering group one, secondary numbering group two, secondary numbering group three, secondary numbering group four, secondary numbering group five, secondary numbering group six, secondary numbering group seven, secondary numbering group eight, and secondary numbering group nine, and the external sensor located on the outer surface of the transformer is the secondary numbering group one; The space inside the transformer is gridded from the geometric center point into eight regular hexahedrons, and the internal sensors in each regular hexahedron are numbered as secondary number group two, secondary number group three, secondary number group four, secondary number group five, secondary number group six, secondary number group seven, secondary number group eight, and secondary number group nine.

5. A method for transformer temperature monitoring and fault diagnosis as claimed in claim 4, Features: The sending of the collection instruction to the temperature sensor includes setting the collection interval of the primary number group as a first interval, setting the collection interval of the secondary number group one as a second interval, setting the collection interval of the secondary number group two, the secondary number group three, the secondary number group four, the secondary number group five, the secondary number group six, the secondary number group seven, the secondary number group eight and the secondary number group nine as a third interval, and the first interval is smaller than the second interval and smaller than the third interval; The time synchronization signal transmitter sends a detection instruction to the primary number group at every first interval, and the temperature sensor corresponding to the number information in the primary number group collects temperature information, records the number information and time, and generates a temperature information table; The time synchronization signal transmitter sends a detection instruction to the secondary numbering group 1 at every second interval, and the temperature sensor corresponding to the numbering information in the secondary numbering group 1 collects temperature information, records the numbering information and time, and generates a temperature information table; Every third time interval, the time synchronization signal transmitter sends a detection instruction to one of the secondary number group two, secondary number group three, secondary number group four, secondary number group five, secondary number group six, secondary number group seven, secondary number group eight and secondary number group nine in turn. The secondary number group two, secondary number group three, secondary number group four, secondary number group five, secondary number group six, secondary number group seven, secondary number group eight and secondary number group nine receive the detection instruction and the temperature sensors corresponding to the number information collect temperature information, record the number information and time, and generate a temperature information table.

6. A method for transformer temperature monitoring and fault diagnosis as claimed in claim 5, Features: Generating the transformer temperature field includes corresponding each temperature signal to the three-dimensional simulation model of the transformer, and using different color values ​​to represent different temperatures to form the temperature field of the three-dimensional simulation model of the transformer; The first temperature threshold group and the second temperature threshold group are respectively set for all monitoring points of the transformer, and the first temperature threshold group is smaller than the second temperature threshold group; The number information and temperature information in the corresponding temperature information table of the primary number group, secondary number group two, secondary number group three, secondary number group four, secondary number group five, secondary number group six, secondary number group seven, secondary number group eight, and secondary number group nine are extracted in real time, and compared with the first temperature threshold corresponding to the number information in the first temperature threshold group. If the temperature information is less than the first temperature threshold, it indicates a normal state. If the temperature information is greater than the first temperature threshold, it indicates a temperature abnormality.

7. A method for transformer temperature monitoring and fault diagnosis as claimed in claim 6, Features: The transformer fault judgment includes that if there is a temperature abnormality, the time synchronization signal transmitter sends a detection instruction to all temperature sensors at the same time, all temperature sensors collect temperature information, and record the number information and time, generate a new temperature information table, input the new temperature information table into the transformer three-dimensional simulation model, and generate the transformer temperature field; The number information and temperature information in the new temperature information table are compared with the second temperature threshold corresponding to the number information in the first temperature threshold group. If the temperature information is greater than the second temperature threshold, it indicates a fault state.

8. A system using a transformer temperature monitoring and fault diagnosis method as claimed in any one of claims 1 to 7, Features: It includes monitoring point optimization module, numbering module, collection module and fault judgment module; The monitoring point optimization module obtains a three-dimensional simulation model of the transformer, calibrates monitoring points on the three-dimensional simulation model, optimizes the positions of the monitoring points, and sets temperature sensors one by one at the positions corresponding to the optimized monitoring points and the transformer; The numbering module uniformly numbers the optimized monitoring points and the positions corresponding to the transformers, obtains the numbering information, groups the temperature sensors according to the components of the transformer, obtains the grouped primary numbering groups, and obtains the secondary numbering groups according to the positions of the temperature sensors; The acquisition module sends an acquisition instruction to the temperature sensor according to the primary number group and the secondary number group, and the temperature sensor corresponding to the number information in the primary number group and the secondary number group acquires temperature information, records the number information and time, and generates a temperature information table; The fault judgment module inputs the temperature information table into the three-dimensional simulation model of the transformer, generates a transformer temperature field, and judges the transformer fault according to the transformer temperature field.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program. Features: When the processor executes the computer program, the steps of a method for transformer temperature monitoring and fault diagnosis as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, Features: When the computer program is executed by a processor, the steps of a method for transformer temperature monitoring and fault diagnosis according to any one of claims 1 to 7 are implemented.

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