Verification device, method and equipment for oil-immersed transformer winding temperature controller and medium

Abstract

The invention discloses an oil-immersed transformer winding temperature controller verification device, method, equipment and medium, and relates to the technical field of electrical equipment testing, the device comprises an intelligent current source module, a signal acquisition module, a central processing module and a man-machine interaction module; a programmable alternating current signal is generated through the intelligent current source module, and the dynamic load working condition of the transformer from no load to full load can be continuously simulated, so that a winding temperature rise curve is completely reproduced, and the defect that a traditional fixed point test cannot detect a nonlinear temperature rise error is overcome; a signal acquisition module is used for synchronously acquiring the current of a heating resistor, a 4-20mA temperature signal and the state of a microswitch, and dynamic current control and a temperature-current correlation analysis algorithm of a central processing module are combined; the automatic and accurate measurement and judgment of the temperature controller potentiometer calibration precision, the winding temperature indicating value error and the microswitch operating value are realized.

Description

Technical Field

[0001] This application relates to the field of power equipment testing technology, and in particular to a calibration device, method, equipment and medium for an oil-immersed transformer winding temperature controller. Background Technology

[0002] Oil-immersed transformers are core equipment in power systems, and their winding temperature directly affects the transformer's operational safety and lifespan. Winding temperature controllers monitor and control the winding temperature by sensing oil temperature and simulating heat generation under load current. They also provide protection functions such as cooling switching, alarms, and tripping. The accuracy of their measurement and operation is crucial for transformer safety.

[0003] Currently, the calibration of winding temperature controllers typically relies on a combination of multiple independent instruments, including a current generator, multimeter, and oscilloscope. The calibration process requires disconnecting the temperature controller wiring and conducting static tests in a constant-temperature oil bath or on-site. Data is then manually recorded and compared with standard values. Existing methods can only test a limited number of static current points and cannot reproduce the temperature response of a transformer under continuously changing operating conditions from no-load to full-load. Furthermore, the judgment of the microswitch's operating value depends on manual observation, resulting in response delays and reading deviations.

[0004] Existing verification techniques cannot simulate dynamic load current, resulting in incomplete verification of winding temperature rise curves and difficulty in detecting temperature drift in nonlinear sections. At the same time, the capture of microswitch action values ​​relies on manual judgment and recording, which results in slow response and large errors, failing to meet the accuracy requirements of protection actions. There is also the problem of not being able to achieve high-precision and rapid verification of all parameters of the temperature controller without power interruption or disassembly.

[0005] The above content is only used to help understand the technical solution of this application and does not represent an admission that the above content is prior art. Summary of the Invention

[0006] The main purpose of this application is to provide a device, method, equipment and medium for calibrating the winding temperature controller of an oil-immersed transformer, aiming to solve the technical problem of achieving high-precision and rapid calibration of all parameters of the temperature controller without power interruption or disassembly.

[0007] To achieve the above objectives, this application proposes a calibration device for an oil-immersed transformer winding temperature controller, the device comprising an intelligent current source module, a signal acquisition module, a central processing module, and a human-machine interaction module; The intelligent current source module is used to receive the current control command from the central processing module, and generate a programmable AC current signal based on the current control command, and output it to the current input terminal of the winding temperature controller through the output terminal of the intelligent current source module. The signal acquisition module is used to synchronously acquire multiple signals from the winding temperature controller. The multiple signals include at least the heating resistor current signal, the analog signal representing the winding temperature, and the micro switch status signal. The central processing module is used to send the current control command to the intelligent current source module, execute the dynamic current control algorithm to control the intelligent current source module to output a specific current sequence; receive and process the multi-channel signals from the signal acquisition module, and perform error analysis and verification logic judgment on the multi-channel signals by executing the temperature-current correlation analysis algorithm. The human-computer interaction module is used to receive verification parameters input by the user and transmit them to the central processing module, as well as to receive and display real-time data, error analysis and final verification results sent by the central processing module.

[0008] In one embodiment, the intelligent current source module is implemented based on a bidirectional AD / DC conversion circuit controlled by a digital signal processor (DSP) chip. The output current range is 0-5A, the output accuracy is better than ±0.05%, and the output current is continuously adjustable within the range of 0-100% of the rated current. The current change rate is programmable within a preset slope range.

[0009] In one embodiment, the signal acquisition module includes: The current acquisition channel has a range of 0-2A, an acquisition accuracy better than ±0.02%, and a sampling rate of not less than 10kHz, and is used for real-time monitoring of the heating resistor current. 4-20mA acquisition channel with a resolution of not less than 0.01mA, integrated temperature compensation circuit, used to acquire analog signals representing winding temperature; The multi-channel switch input acquisition system adopts an optocoupler isolation design with a response time of no more than 500 microseconds, and is used to capture the moment of change of micro switch contacts.

[0010] In one embodiment, the central processing module is built into a portable sealed enclosure, and when executing the dynamic current control algorithm, it automatically adjusts the output current according to a preset load change curve, and ensures that the current fluctuation at any steady-state acquisition point is no greater than ±0.01A; wherein, the preset load change curve includes linear increase and step increase.

[0011] In one embodiment, the central processing module executes the temperature-current correlation analysis algorithm including: Establish a three-dimensional correlation model between the output current, the heating resistor current, and the winding temperature indication value; Based on the three-dimensional correlation model, the temperature rise error of the winding temperature controller at each calibration point is automatically calculated; The human-computer interaction module is driven to display a comparison chart and error distribution of the standard temperature rise curve and the measured temperature rise curve in real time.

[0012] In one embodiment, the central processing module is further configured to execute a potentiometer calibration mode, including: The central processing module receives the transformer's rated parameters input by the user. The transformer's rated parameters include the secondary rated current and the rated copper oil temperature rise. Based on the transformer's rated parameters and the temperature-current correlation analysis algorithm, the module automatically calculates the target heating current. The central processing module controls the intelligent current source module to output a 100% secondary rated current to the winding temperature controller. The signal acquisition module collects the current heating current flowing through the heating resistor of the winding temperature controller in real time; The central processing module compares the current heating current with the target heating current and displays the comparison result in real time through the human-machine interaction module to guide the user to adjust the winding temperature controller potentiometer. If the deviation between the current heating current and the target heating current is within a preset tolerance range, a calibration completion signal is generated in the central processing module, and the calibration parameters of the current group of temperature controller potentiometers are locked and stored.

[0013] In one embodiment, the central processing module is further configured to perform intelligent verification of the microswitch action value, including: The intelligent current source module is controlled to continuously increase the output current at a preset slope; The signal acquisition module synchronously monitors the micro switch status signal and the analog signal representing the winding temperature in real time. When any microswitch status signal changes position, the current winding temperature value is locked and recorded as the operating temperature, and the operating delay time is also recorded. The operating temperature is compared with a preset set temperature value, and the micro switch with displacement is deemed to have qualified operating performance when the error between the operating temperature and the set temperature value does not exceed the temperature error threshold and the operating delay time does not exceed the delay time threshold. After completing the temperature rise verification, the intelligent current source module is controlled to reduce the output current, and the reset temperature of each micro switch is recorded. Calculate the hysteresis between the operating temperature and the reset temperature of each microswitch, and determine the reset characteristics of each microswitch based on the hysteresis value.

[0014] Furthermore, to achieve the above objectives, this application also proposes a method for calibrating the winding temperature controller of an oil-immersed transformer, the method comprising: A current control command is generated based on a dynamic current control algorithm, and a programmable AC current signal is generated according to the current control command. The AC current signal is then output to the current input terminal of the winding temperature controller. The winding temperature controller is simultaneously acquired through multiple signals, including at least one or more of the following: heating resistor current signal, analog signal representing winding temperature, and micro switch status signal. The multi-channel signals are subjected to error analysis and verification logic by executing a temperature-current correlation analysis algorithm. It displays the collected real-time data, error analysis, and final verification results.

[0015] In addition, to achieve the above objectives, this application also proposes an oil-immersed transformer winding temperature controller calibration device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the oil-immersed transformer winding temperature controller calibration method described above.

[0016] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the oil-immersed transformer winding temperature controller verification method described above.

[0017] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the oil-immersed transformer winding temperature controller verification method described above.

[0018] One or more technical solutions proposed in this application have at least the following technical effects: This application generates a programmable AC current signal through an intelligent current source module, which can continuously simulate the dynamic load conditions of a transformer from no-load to full-load, thereby completely reproducing the winding temperature rise curve and overcoming the shortcomings of traditional fixed-point testing that cannot detect nonlinear temperature rise errors. The signal acquisition module synchronously acquires the heating resistor current, 4-20mA temperature signal, and microswitch status, and combines the dynamic current control and temperature-current correlation analysis algorithm of the central processing module to realize automatic and accurate measurement and judgment of the temperature controller potentiometer calibration accuracy, winding temperature indication error, and microswitch action value. Attached Figure Description

[0019] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0020] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a schematic diagram of the module structure of the oil-immersed transformer winding temperature controller calibration device of this application; Figure 2 This is a flowchart illustrating an embodiment of the oil-immersed transformer winding temperature controller calibration device provided in this application. Figure 3 This is a flowchart illustrating Embodiment 2 of the oil-immersed transformer winding temperature controller calibration device provided in this application. Figure 4 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the verification method of the oil-immersed transformer winding temperature controller in the embodiments of this application.

[0022] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0023] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0024] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0025] Because existing technology makes it difficult to achieve high-precision and rapid calibration of all parameters of a temperature controller without power interruption or disassembly.

[0026] This application provides a solution that generates a programmable AC current signal through an intelligent current source module, which can continuously simulate the dynamic load conditions of a transformer from no-load to full-load, thereby completely reproducing the winding temperature rise curve and overcoming the shortcomings of traditional fixed-point testing that cannot detect nonlinear temperature rise errors. The signal acquisition module synchronously acquires the heating resistor current, 4-20mA temperature signal, and microswitch status, and combines the dynamic current control and temperature-current correlation analysis algorithm of the central processing module to realize automatic and accurate measurement and judgment of the temperature controller potentiometer calibration accuracy, winding temperature indication error, and microswitch action value.

[0027] Based on this, the present application provides a calibration device for an oil-immersed transformer winding temperature controller, referring to... Figure 1 , Figure 1 This is a schematic diagram of the module structure of the oil-immersed transformer winding temperature controller calibration device of this application; In this embodiment, the oil-immersed transformer winding temperature controller calibration device includes an intelligent current source module, a signal acquisition module, a central processing module, and a human-machine interaction module. The intelligent current source module 10 is used to receive the current control command from the central processing module and generate a programmable AC current signal based on the current control command, and output it to the current input terminal of the winding temperature controller through the output terminal of the intelligent current source module. It should be noted that, in this embodiment, the intelligent current source module refers to a bidirectional AC / DC conversion circuit controlled by a digital signal processor (DSP), the purpose of which is to generate a high-precision, programmable AC current signal; the current control command refers to a digital command sent by the central processing module, used to specify the amplitude, frequency, and rate of change of the output current; the programmable AC current signal refers to an analog current output dynamically adjusted by a software algorithm, the amplitude and change mode of which can be flexibly set according to a preset program; the current input terminal of the winding temperature controller refers to the interface terminal on the winding temperature controller of an oil-immersed transformer used to receive signals from the secondary side of the current transformer, typically used to simulate the transformer load current. This embodiment achieves high-precision current output through the intelligent current source module, accurately reproducing the dynamic operating conditions of the transformer from no-load to full-load, thereby providing a real and adjustable excitation signal for the calibration of the winding temperature controller; this design can effectively solve the limitation of traditional calibration which can only output a fixed current, and improve the comprehensiveness and accuracy of calibration by simulating load changes in actual operation through programmable characteristics.

[0028] Optionally, the intelligent current source module receives instructions from the central processing module and outputs a set of AC current sequences that linearly increase from 0A to 5A to simulate the dynamic process of a 110kV transformer (secondary rated current 5A) from no-load to full-load. This current is connected to the current input terminal of the winding temperature controller through the red output terminal designed to prevent mis-insertion, providing basic excitation for temperature rise curve verification.

[0029] The signal acquisition module 20 is used to synchronously acquire multiple signals from the winding temperature controller. The multiple signals include at least the heating resistor current signal, the analog signal representing the winding temperature, and the micro switch status signal. It should be noted that, in this embodiment, the signal acquisition module refers to a hardware unit integrating a multi-channel data acquisition circuit. Its core function is to synchronously and accurately capture various output signals of the winding temperature controller. The heating resistor current signal refers to the current value flowing through the heating resistor inside the winding temperature controller. This current is proportional to the transformer load current and is used to simulate the winding temperature rise. The analog signal representing the winding temperature refers to the temperature indication value output by the winding temperature controller through a 4-20mA standard current loop, which is linearly related to the actual winding temperature. The microswitch status signal refers to the opening and closing state of the microswitch contacts inside the winding temperature controller, used to trigger protective actions such as cooling, alarm, or tripping. This embodiment achieves synchronous acquisition of multiple signals through the signal acquisition module, aiming to ensure the time consistency and accuracy of the data, overcome the delay and error problems caused by relying on manual recording and scattered instruments in traditional verification, and improve the real-time performance and anti-interference capability of data acquisition through high sampling rate and isolation technology.

[0030] Optionally, the signal acquisition module achieves signal synchronization through multiplexing technology, and the acquisition triggering of all channels is uniformly controlled by the central processing module to eliminate time deviation.

[0031] The central processing module 30 is used to send the current control command to the intelligent current source module, execute the dynamic current control algorithm to control the intelligent current source module to output a specific current sequence; receive and process the multi-channel signals from the signal acquisition module, and perform error analysis and verification logic judgment on the multi-channel signals by executing the temperature-current correlation analysis algorithm. It should be noted that, in this embodiment, the central processing module refers to a computing unit equipped with an ARM Cortex-M4 processor, which is used to coordinate the logic control and data analysis of the entire verification process; the dynamic current control algorithm refers to a software algorithm based on a preset load change curve (such as linear or step-by-step increase) to generate current control commands and adjust the output of the intelligent current source module; the specific current sequence refers to a set of current value sequences predefined according to verification requirements, such as a step-by-step output from 0% to 100% of the rated current at 10% intervals; the temperature-current correlation analysis algorithm refers to an analytical model that establishes the mathematical relationship between the output current, the heating resistor current and the winding temperature indication value, used to calculate the temperature rise error and performance deviation; error analysis and verification logic judgment refers to the process of automatically determining whether the parameters of the winding temperature controller are qualified by comparing the measured values ​​with the standard values.

[0032] This embodiment executes the core algorithm through the central processing module, realizing the automation and intelligence of the verification process, reducing manual intervention, improving verification accuracy and efficiency, and can integrate multiple signals for correlation analysis to discover nonlinear errors that are difficult to detect by traditional methods, generating objective verification conclusions.

[0033] Optionally, the central processing module also integrates intelligent verification of micro-switch action values ​​and potentiometer calibration mode, and achieves parallel data acquisition and logical judgment through multi-threaded processing.

[0034] The human-computer interaction module 40 is used to receive the verification parameters input by the user and transmit them to the central processing module, as well as to receive and display the real-time data, error analysis and final verification results sent by the central processing module.

[0035] It should be noted that, in this embodiment, the human-machine interaction module refers to an input / output interface unit that integrates a touch screen and physical operation keys, providing an information exchange channel between the user and the verification device; the verification parameters refer to the configurations of the winding temperature controller set by the user, such as rated current, copper oil temperature rise, and micro switch setting value; real-time data refers to the dynamically updated collected values ​​during the verification process, such as current, temperature, and switch status; error analysis refers to the results such as temperature rise error and action value deviation calculated by the central processing module; and the final verification result refers to the conclusion of the qualification of the overall performance of the winding temperature controller.

[0036] This embodiment achieves user-friendly operation and result visualization through a human-computer interaction module, reducing the skill requirements for operation and maintenance personnel, improving the user-friendliness and transparency of the verification process, and also displaying curves and data in real time to help users intuitively understand the verification progress and performance indicators.

[0037] Optionally, the oil-immersed transformer winding temperature controller calibration device also includes a power module, such as a 12V / 5A lithium battery and a 220V AC input, to adapt to scenarios where there is no external power supply on site.

[0038] Optionally, the external interface of the oil-immersed transformer winding temperature controller calibration device adopts an anti-misinsertion design: 2 current output terminals (red, labeled "To temperature controller current input"), 2 current acquisition terminals (blue, labeled "To heating resistor"), 4 switch input terminals (yellow, numbered 1-4), and 1 4-20mA acquisition terminal (green), all equipped with safety covers.

[0039] In one possible implementation, the intelligent current source module is based on a bidirectional AD / DC conversion circuit controlled by a digital signal processor (DSP) chip, with an output current range of 0-5A, an output accuracy better than ±0.05%, and the output current can be continuously adjusted within the range of 0-100% of the rated current, and the current change rate can be programmed within a preset slope range.

[0040] It should be noted that, in this embodiment, the output current range of 0-5A refers to the upper and lower limits of the effective value of the AC current that the intelligent current source module can output; the output accuracy is better than ±0.05% means that the maximum relative error between the actual value of the output current and the set value does not exceed 0.05%; the rated current refers to the calibrated current value of the secondary side of the current transformer connected to the winding temperature controller, which is usually 5A; continuous adjustment means that the output current can be continuously changed steplessly between the minimum and maximum values; the current change rate refers to the rate at which the output current changes with time, in amperes per second; the preset slope range can be from 0.1A / s to 1A / s; the continuously adjusted output current simulates the dynamic load condition of an oil-immersed transformer from no-load to full-load.

[0041] This embodiment achieves high-precision programmable current output by using an intelligent current source module controlled by a digital signal processor, accurately simulating the dynamic load characteristics of a transformer in actual operation, effectively solving the limitation of traditional verification equipment that can only output a fixed current; through continuously adjustable current output and programmable rate of change setting, it discovers nonlinear errors and dynamic response problems that are difficult to detect by traditional methods.

[0042] Optionally, the bidirectional AC / DC conversion circuit adopts a full-bridge or half-bridge topology, and uses pulse width modulation technology to achieve precise current control. The fast response characteristics ensure that the output current can follow the changes in the set value.

[0043] In one possible implementation, the signal acquisition module includes: The current acquisition channel has a range of 0-2A, an acquisition accuracy better than ±0.02%, and a sampling rate of not less than 10kHz, and is used for real-time monitoring of the heating resistor current. 4-20mA acquisition channel with a resolution of not less than 0.01mA, integrated temperature compensation circuit, used to acquire analog signals representing winding temperature; The multi-channel switch input acquisition system adopts an optocoupler isolation design with a response time of no more than 500 microseconds, and is used to capture the moment of change of micro switch contacts.

[0044] It should be noted that, in this embodiment, the current acquisition channel refers to an analog input channel specifically used for measuring current parameters; the heating resistor current is proportional to the transformer load current. A sampling rate of 10kHz can effectively capture instantaneous fluctuations and harmonic components of the current, meeting the measurement requirements under dynamic load conditions. The 4-20mA acquisition channel refers to an analog input interface used to process industrial standard current loop signals; a resolution of not less than 0.01mA means that the minimum current change that this channel can identify is 10 microamps; the analog signal representing the winding temperature refers to the temperature measurement value output by the winding temperature controller through a 4-20mA standard current signal, where 4mA corresponds to the lower limit of the temperature range and 20mA corresponds to the upper limit of the temperature range. By configuring a high-resolution 4-20mA acquisition channel with integrated temperature compensation, the true measurement value of the winding temperature can be accurately obtained, eliminating measurement errors introduced by environmental factors and effectively solving the problem of temperature drift affecting traditional acquisition methods. A multi-channel switch input channel refers to a digital input channel capable of processing multiple switch status signals simultaneously; optocoupler isolation design refers to using optocouplers to achieve electrical isolation between the input signal and the internal circuitry; a response time of no more than 500 microseconds means that the time interval from the change in switch state to its recognition by the system does not exceed 0.5 milliseconds; the microswitch contact change moment refers to the instantaneous state transition of the microswitch contact inside the winding temperature controller from open to closed or from closed to open. By employing optocoupler-isolated multi-channel switch input channels, the action moment of the microswitch can be captured quickly and accurately, effectively avoiding the response delay and subjective error problems of traditional manual observation methods, and ensuring anti-interference capability and system safety in strong electromagnetic environments through electrical isolation.

[0045] In one possible implementation, the central processing module is built into a portable sealed enclosure, and when executing the dynamic current control algorithm, it automatically adjusts the output current according to a preset load change curve, and ensures that the current fluctuation at any steady-state acquisition point is no greater than ±0.01A; wherein, the preset load change curve includes linear increase and step increase.

[0046] It should be noted that, in this embodiment, the central processing module refers to an embedded processing unit using the ARM Cortex-M4 architecture, serving as the intelligent control core of the verification device; the dynamic current control algorithm refers to a closed-loop control program that adjusts the output current in real time using digital signals; the preset load change curve refers to a set of current output mode parameters pre-stored in the system; the steady-state acquisition point refers to a specific operating point where data is acquired during the current output stabilization phase; current fluctuation not greater than ±0.01A refers to the deviation between the instantaneous value of the output current and the set value being controlled within 10 mA under steady-state conditions; linear increase refers to a continuous and uniform increase in output current over time; and step increase refers to a segmented increase in output current at fixed intervals.

[0047] This embodiment integrates the central processing module into a portable sealed enclosure and executes a precise dynamic current control algorithm, enabling reliable operation and precise control of the verification device in field environments such as substations. By simulating the real operating conditions of transformers through various load curves, it ensures the comprehensiveness and accuracy of the verification process, effectively solving the limitations of traditional verification equipment in simulating dynamic load changes and detecting nonlinear errors.

[0048] Optionally, the dynamic current control algorithm adopts a digital PID control strategy, which ensures that the output current quickly stabilizes at the set value through real-time sampling feedback and parameter self-tuning.

[0049] Furthermore, referring to Figure 2 The first embodiment of the oil-immersed transformer winding temperature controller calibration device of this application provides a schematic flowchart, based on the above. Figure 2 The illustrated embodiment further refines the steps of "the central processing module executing the temperature-current correlation analysis algorithm" into steps A201-A203: Step A201: Establish a three-dimensional correlation model between the output current, the heating resistor current, and the winding temperature indication value; It should be noted that in this embodiment, the output current refers to the simulated load current value output by the intelligent current source module; the heating resistor current refers to the measured current value flowing through the heating element inside the winding thermostat; the winding temperature indication value refers to the temperature measurement value obtained through the 4-20mA signal acquisition channel; and the three-dimensional correlation model refers to a mathematical model of the interaction of three variables established through mathematical methods, used to describe the quantitative relationship between the output current, the heating resistor current, and the winding temperature. This embodiment establishes an accurate three-dimensional correlation model to construct a complete mathematical model of the thermostat's operating characteristics, overcoming the limitations of traditional single-parameter verification through multivariate comprehensive analysis.

[0050] Optionally, the three-dimensional correlation model is established using multiple regression analysis, and the functional relationships between the variables are obtained by fitting experimental data.

[0051] Step A202: Based on the three-dimensional correlation model, automatically calculate the temperature rise error of the winding temperature controller at each calibration point; It should be noted that, in this embodiment, the verification point refers to a specific test location selected on the load curve; the temperature rise error refers to the deviation between the measured winding temperature and the standard theoretical value. This embodiment achieves a quantitative evaluation of the temperature controller's performance through automatic error calculation based on a three-dimensional correlation model, while improving calculation efficiency and accuracy and reducing the risk of misjudgment.

[0052] Optionally, the temperature rise error is calculated using a relative error algorithm, and the calculation formula is: Temperature rise error Δ = (T实测 -T 标准 ) / T 标准 *100% allows for further calculation of performance indicators such as maximum error, average error, and standard deviation for error verification.

[0053] Step A203: Drive the human-computer interaction module to display in real time a comparison chart of the standard temperature rise curve and the measured temperature rise curve, as well as the error distribution.

[0054] It should be noted that, in this embodiment, the standard temperature rise curve refers to the theoretical temperature-load relationship curve calibrated at the factory; the measured temperature rise curve refers to the temperature-load relationship curve obtained through actual calibration; and the error distribution refers to the graphical representation of the distribution of error values ​​at each calibration point within the load range. This embodiment uses a human-machine interface module to display curve comparisons and error distributions in real time, transforming abstract numerical relationships into intuitive graphical information. Visual analysis enhances the understanding of the temperature controller's operating characteristics, facilitating the identification of anomalies and trend deviations.

[0055] Optionally, the curve display uses a high-resolution graphical interface, supporting interactive operations such as zooming and panning. Different curves are distinguished by bright colors, and key verification points are highlighted with special markers. The error distribution is presented in the form of a bar chart or scatter plot, while also annotating statistical indicators and pass / fail limits. Additionally, the display system supports historical curve comparison, allowing for comparative analysis of the current verification results with previous data to assess the performance trend of the temperature controller.

[0056] Furthermore, referring to Figure 3 The second embodiment of the oil-immersed transformer winding temperature controller calibration device of this application provides a schematic flowchart, based on the above. Figure 3 The illustrated embodiment further details the step of "the central processing module is also used to execute the potentiometer calibration mode," including steps A301 to A305: Step A301: The central processing module receives the transformer rated parameters input by the user. The transformer rated parameters include the secondary rated current and the rated copper oil temperature rise. Based on the transformer rated parameters and the temperature-current correlation analysis algorithm, the module automatically calculates the target heating current. It should be noted that in the embodiments of this application, the secondary rated current refers to the nominal current value of the secondary side of the transformer current transformer, which is usually 5A; the rated copper oil temperature rise refers to the maximum allowable temperature difference between the winding and the oil of the transformer under rated load; and the target heating current refers to the theoretical current value of the heating resistor required to make the temperature controller accurately indicate the temperature at the calibration point.

[0057] Optionally, the temperature-current correlation analysis algorithm is based on the thermodynamic equivalence principle, where the target heating current Ih = K * ΔT * Ie, and K is the thermal simulation coefficient of the temperature controller, ΔT is the additional copper oil temperature rise, and Ie is the secondary rated current. For example, the central processing module receives transformer parameters input by the user (secondary rated top current 5A, rated copper oil temperature rise 70K), and automatically calculates the target heating current as 0.8A based on the temperature-current correlation analysis algorithm.

[0058] Step A302: The central processing module controls the intelligent current source module to output a 100% secondary rated current to the winding temperature controller. It should be noted that in the embodiments of this application, 100% of the secondary rated current refers to the full-load current equal to the rated current value of the secondary side of the transformer; the winding temperature controller refers to the winding temperature control device of the oil-immersed transformer being tested.

[0059] Step A303: The signal acquisition module acquires the current heating current flowing through the heating resistor of the winding temperature controller in real time; It should be noted that, in the embodiments of this application, the current heating current refers to the instantaneous value of the actual current flowing in the heating element under standard test conditions.

[0060] Step A304: The central processing module compares the current heating current with the target heating current and displays the comparison result in real time through the human-machine interaction module to guide the user to adjust the winding temperature controller potentiometer. Step A305: If the deviation between the current heating current and the target heating current is within a preset tolerance range, a calibration completion signal is generated in the central processing module, and the calibration parameters of the current group of temperature controller potentiometers are locked and stored.

[0061] It should be noted that, in this embodiment, deviation refers to the absolute difference between the current heating current and the target heating current; preset tolerance range refers to the pre-set allowable error limit, typically ±0.01A; calibration completion signal refers to a status indication signal indicating that calibration has been achieved; and the calibration parameters of the current group temperature controller potentiometer refer to a complete dataset including the final heating current value, calibration time, equipment identification, and other information. By automatically judging and saving calibration results, the standardization and traceability of the calibration process are ensured, and the automatic archiving and long-term storage of calibration results are achieved.

[0062] Optionally, the calibration completion signal is indicated by sound and light, including a buzzer sound and a color change of an indicator light.

[0063] The potentiometer calibration mode technology solution in this embodiment improves the efficiency, reliability and consistency of the calibration process of the potentiometer of the oil-immersed transformer winding temperature controller by coordinating the entire process of automatic parameter calculation, standard working condition simulation, real-time data acquisition, visual human-machine guidance and intelligent result judgment. It replaces manual estimation with algorithm-driven approach, blind adjustment and blind testing with real-time feedback, and subjective judgment with automatic judgment.

[0064] In one possible implementation, the central processing module is further configured to perform intelligent verification of the microswitch action value, including: The intelligent current source module is controlled to continuously increase the output current at a preset slope; The signal acquisition module synchronously monitors the micro switch status signal and the analog signal representing the winding temperature in real time. When any microswitch status signal changes position, the current winding temperature value is locked and recorded as the operating temperature, and the operating delay time is also recorded. The operating temperature is compared with a preset set temperature value, and the micro switch with displacement is deemed to have qualified operating performance when the error between the operating temperature and the set temperature value does not exceed the temperature error threshold and the operating delay time does not exceed the delay time threshold. After completing the temperature rise verification, the intelligent current source module is controlled to reduce the output current, and the reset temperature of each micro switch is recorded. Calculate the hysteresis between the operating temperature and the reset temperature of each microswitch, and determine the reset characteristics of each microswitch based on the hysteresis value.

[0065] It should be noted that the preset slope refers to the pre-set rate of change of the output current, measured in amperes per second. By controlling the current source to continuously increase the output current at a controllable rate, the smooth growth process of the transformer load is accurately simulated, and the instantaneous impact caused by traditional step current changes can be avoided. The change in the microswitch state signal refers to the process of the microswitch contact transitioning from one stable state to another; the operating temperature refers to the winding temperature value when the microswitch is actually triggered; the operating delay time refers to the time interval from the physical change of the microswitch contact to the system recording complete temperature data. By accurately capturing the moment of switch change and simultaneously recording temperature data, the subjective errors and time delays inherent in traditional manual observation methods can be effectively overcome, ensuring the accuracy and timeliness of the operating temperature recording. In one possible implementation, the change detection adopts an edge-triggered method, immediately initiating a data locking program when a switch state change is detected; the operating temperature is calculated using an interpolation algorithm, combined with accurate fitting of multiple temperature sampling points before and after the change; the operating delay time includes signal transmission delay, acquisition card response time, and data processing time, and the system accurately calculates the time consumed in each stage using hardware timestamps.

[0066] Furthermore, the preset set temperature value refers to the theoretical operating temperature of the microswitch pre-set according to the transformer protection requirements; the temperature error threshold refers to the maximum allowable deviation range of the operating temperature; and the delay time threshold refers to the maximum allowable operating delay time. Controlling the intelligent current source module to reduce the output current refers to reducing the output current value at a controllable rate; recording the reset temperature of each microswitch refers to the winding temperature value corresponding to when the microswitch contacts return to their original state during the current decrease process. By recording the switch reset temperature during the cooling process, the return characteristic parameters of the microswitch are obtained. In one possible implementation, the output current reduction process uses the same slope as the heating process to ensure the consistency of test conditions; the reset temperature detection uses the same acquisition and calculation method as the operating temperature to ensure data comparability; the system automatically identifies the moment when the contact state returns from the operating position to the initial position and records the corresponding temperature sampling value. The hysteresis value refers to the difference between the operating temperature and the reset temperature.

[0067] This embodiment establishes a complete verification process of "slope current excitation - synchronous signal acquisition - intelligent parameter determination - bidirectional characteristic testing", which solves the shortcomings of traditional verification, such as relying on manual visual inspection of contact displacement, large response delay, and only testing the action temperature while ignoring the reset characteristics. It significantly reduces the measurement error of action temperature and realizes quantitative analysis of switch hysteresis characteristics.

[0068] In one specific implementation, the in-situ integrated verification of the winding temperature controller of an oil-immersed transformer is achieved based on the verification device. Taking the winding temperature controller verification of a 110kV oil-immersed transformer (rated current 262.4A, corresponding transformer ratio 50 / 5, secondary rated current 5A) as an example, the specific steps include: (1) Device preparation: Power on the calibration device to check and confirm that the battery power is 85%. Then, input the transformer parameters through the 4.3-inch touch screen: Ie=5A, ΔT=70K, oil temperature 50℃, and select "standard mode" as the calibration process. The system will automatically load the corresponding parameter configuration and complete the device preparation work.

[0069] (2) Safety wiring: Connect the current input terminal to the red output terminal of the device, the heating resistance measurement terminal to the blue acquisition terminal, the alarm switch contact to the yellow switch quantity 1 terminal, the trip switch contact to the yellow switch quantity 2 terminal, and the 4-20mA output to the green analog quantity terminal. The whole process takes about 4 minutes and does not require power outage or disassembly of the equipment.

[0070] (3) Potentiometer calibration: The device automatically outputs a 5A current. Initially, the heating resistor current Ih = 0.4A is detected. The system displays the guidance information "Ih = 0.4A → 0.8A" in real time through the touch screen. After the maintenance personnel adjust the potentiometer, the current gradually approaches the target value. When Ih = 0.799A, the system prompts "calibration completed", with a deviation of only 0.001A.

[0071] (4) Temperature rise curve verification: The device automatically outputs 11 current points in standard mode. After each point stabilizes for 5 minutes, the Tcu value is recorded. The measured curve is plotted and compared with the imported factory standard curve. The error of each point is calculated. The maximum error is 0.6℃. The system automatically determines that the temperature rise verification is qualified.

[0072] (5) Switch action verification: The current increases at a rate of 0.5A / min. When the current rises to 3.2A, switch quantity 1 changes position and Top is recorded as 90.2℃ (set to 90℃), with an error of 0.2℃. When the current rises to 4.8A, switch quantity 2 changes position and Top is recorded as 104.8℃ (set to 105℃), with an error of 0.2℃. During the cooling process, the reset temperatures are recorded as 86.5℃ and 101.2℃, with a hysteresis of 3.7℃. The system determines that the performance and reset characteristics of all switches are qualified.

[0073] (6) Report generation: After the verification is completed, the system automatically generates an Excel report, which includes the transformer model, temperature controller model, verification time, temperature rise curve comparison chart, error data at each point, switch action value, hysteresis and delay time, and gives the overall conclusion that "temperature rise verification is qualified and switch action value verification is qualified". The report is exported via USB interface for archiving and reporting.

[0074] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the oil-immersed transformer winding temperature controller calibration device of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0075] This application also provides a method for calibrating an oil-immersed transformer winding temperature controller, the method comprising: A current control command is generated based on a dynamic current control algorithm, and a programmable AC current signal is generated according to the current control command. The AC current signal is then output to the current input terminal of the winding temperature controller. The winding temperature controller is simultaneously acquired through multiple signals, including at least one or more of the following: heating resistor current signal, analog signal representing winding temperature, and micro switch status signal. The multi-channel signals are subjected to error analysis and verification logic by executing a temperature-current correlation analysis algorithm. It displays the collected real-time data, error analysis, and final verification results.

[0076] The oil-immersed transformer winding temperature controller calibration method provided in this application, employing the oil-immersed transformer winding temperature controller calibration device described in the above embodiments, can solve the technical problem of achieving high-precision and rapid calibration of all parameters of the temperature controller without power interruption or disassembly. Compared with the prior art, the beneficial effects of the oil-immersed transformer winding temperature controller calibration method provided in this application are the same as those of the oil-immersed transformer winding temperature controller calibration device provided in the above embodiments, and other technical features in the oil-immersed transformer winding temperature controller calibration method are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0077] This application provides a calibration device for an oil-immersed transformer winding temperature controller. The calibration device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the oil-immersed transformer winding temperature controller calibration method in the above embodiment 1.

[0078] like Figure 4 As shown, the oil-immersed transformer winding temperature controller calibration device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory 1002 or a program loaded from a storage device 1003 into a random access memory 1004. The random access memory 1004 also stores various programs and data required for the operation of the oil-immersed transformer winding temperature controller calibration device. The processing unit 1001, the read-only memory 1002, and the random access memory 1004 are interconnected via a bus 1005. An input / output interface 1006 is also connected to the bus. Typically, the following systems can be connected to the input / output interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. Communication device 1009 allows the oil-immersed transformer winding temperature controller calibration equipment to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows oil-immersed transformer winding temperature controller calibration equipment with various systems, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.

[0079] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from read-only memory 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0080] The oil-immersed transformer winding temperature controller calibration device provided in this application adopts the oil-immersed transformer winding temperature controller calibration method in the above embodiments, which can solve the technical problem of difficulty in achieving high-precision and rapid calibration of all parameters of the temperature controller without power interruption or disassembly. Compared with the prior art, the beneficial effects of the oil-immersed transformer winding temperature controller calibration device provided in this application are the same as those of the oil-immersed transformer winding temperature controller calibration method provided in the above embodiments, and other technical features in this oil-immersed transformer winding temperature controller calibration device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0081] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0082] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0083] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, which are used to execute the oil-immersed transformer winding temperature controller verification method in the above embodiments.

[0084] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having 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 fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0085] The aforementioned computer-readable storage medium may be included in the oil-immersed transformer winding temperature controller calibration equipment; or it may exist independently and not be assembled into the oil-immersed transformer winding temperature controller calibration equipment.

[0086] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by the oil-immersed transformer winding temperature controller calibration device, the device enables the following: It generates a programmable AC current signal through an intelligent current source module, continuously simulating the dynamic load condition of the transformer from no-load to full-load, thereby completely reproducing the winding temperature rise curve and overcoming the deficiency of traditional fixed-point testing in detecting nonlinear temperature rise errors; It also synchronously acquires the heating resistor current, 4-20mA temperature signal, and microswitch status through a signal acquisition module, and combines this with the dynamic current control and temperature-current correlation analysis algorithm of the central processing module to achieve automatic and accurate measurement and judgment of the temperature controller potentiometer calibration accuracy, winding temperature indication error, and microswitch action value.

[0087] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0088] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0089] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0090] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described oil-immersed transformer winding temperature controller verification method. This solves the technical problem of achieving high-precision and rapid verification of all parameters of the temperature controller without power interruption or disassembly. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the oil-immersed transformer winding temperature controller verification method provided in the above embodiments, and will not be elaborated upon here.

[0091] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-described method for verifying the winding temperature controller of an oil-immersed transformer.

[0092] The computer program product provided in this application can solve the technical problem of achieving high-precision and rapid verification of all parameters of a temperature controller without power interruption or disassembly. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the oil-immersed transformer winding temperature controller verification method provided in the above embodiments, and will not be repeated here.

[0093] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A calibration device for an oil-immersed transformer winding temperature controller, characterized in that, The oil-immersed transformer winding temperature controller calibration device includes an intelligent current source module, a signal acquisition module, a central processing module, and a human-machine interaction module. The intelligent current source module is used to receive the current control command from the central processing module, and generate a programmable AC current signal based on the current control command, and output it to the current input terminal of the winding temperature controller through the output terminal of the intelligent current source module. The signal acquisition module is used to synchronously acquire multiple signals from the winding temperature controller. The multiple signals include at least the heating resistor current signal, the analog signal representing the winding temperature, and the micro switch status signal. The central processing module is used to send the current control command to the intelligent current source module, execute the dynamic current control algorithm to control the intelligent current source module to output a specific current sequence; receive and process the multi-channel signals from the signal acquisition module, and perform error analysis and verification logic judgment on the multi-channel signals by executing the temperature-current correlation analysis algorithm. The human-computer interaction module is used to receive verification parameters input by the user and transmit them to the central processing module, as well as to receive and display real-time data, error analysis and final verification results sent by the central processing module.

2. The oil-immersed transformer winding temperature controller calibration device as described in claim 1, characterized in that, The intelligent current source module is based on a bidirectional AD / DC conversion circuit controlled by a digital signal processor (DSP) chip. The output current range is 0-5A, the output accuracy is better than ±0.05%, and the output current can be continuously adjusted within the range of 0-100% of the rated current. The current change rate can be programmed within a preset slope range.

3. The oil-immersed transformer winding temperature controller calibration device as described in claim 1, characterized in that, The signal acquisition module includes: The current acquisition channel has a range of 0-2A, an acquisition accuracy better than ±0.02%, and a sampling rate of not less than 10kHz, and is used for real-time monitoring of the heating resistor current. 4-20mA acquisition channels with a resolution of not less than 0.01mA, and integrated temperature compensation circuit for acquiring analog signals representing winding temperature; The multi-channel switch input acquisition system adopts an optocoupler isolation design with a response time of no more than 500 microseconds, and is used to capture the moment of change of micro switch contacts.

4. The oil-immersed transformer winding temperature controller calibration device as described in claim 1, characterized in that, The central processing module is built into a portable sealed enclosure. When executing the dynamic current control algorithm, it automatically adjusts the output current according to the preset load change curve and ensures that the current fluctuation at any steady-state acquisition point is no greater than ±0.01A. The preset load change curve includes linear increase and step increase.

5. The oil-immersed transformer winding temperature controller calibration device as described in claim 4, characterized in that, The central processing module executes the temperature-current correlation analysis algorithm including: Establish a three-dimensional correlation model between the output current, the heating resistor current, and the winding temperature indication value; Based on the three-dimensional correlation model, the temperature rise error of the winding temperature controller at each calibration point is automatically calculated; The human-computer interaction module is driven to display a comparison chart and error distribution of the standard temperature rise curve and the measured temperature rise curve in real time.

6. The oil-immersed transformer winding temperature controller calibration device as described in claim 5, characterized in that, The central processing module is also used to execute potentiometer calibration mode, including: The central processing module receives the transformer's rated parameters input by the user. The transformer's rated parameters include the secondary rated current and the rated copper oil temperature rise. Based on the transformer's rated parameters and the temperature-current correlation analysis algorithm, the module automatically calculates the target heating current. The central processing module controls the intelligent current source module to output a 100% secondary rated current to the winding temperature controller. The signal acquisition module collects the current heating current flowing through the heating resistor of the winding temperature controller in real time; The central processing module compares the current heating current with the target heating current and displays the comparison result in real time through the human-machine interaction module to guide the user to adjust the winding temperature controller potentiometer. If the deviation between the current heating current and the target heating current is within a preset tolerance range, a calibration completion signal is generated in the central processing module, and the calibration parameters of the current group of temperature controller potentiometers are locked and stored.

7. The oil-immersed transformer winding temperature controller calibration device as described in any one of claims 1 to 6, characterized in that, The central processing module is also used to perform intelligent verification of the micro switch action value, including: The intelligent current source module is controlled to continuously increase the output current at a preset slope; The signal acquisition module synchronously monitors the micro switch status signal and the analog signal representing the winding temperature in real time. When any microswitch status signal changes position, the current winding temperature value is locked and recorded as the operating temperature, and the operating delay time is also recorded. The operating temperature is compared with a preset set temperature value, and the micro switch with displacement is deemed to have qualified operating performance when the error between the operating temperature and the set temperature value does not exceed the temperature error threshold and the operating delay time does not exceed the delay time threshold. After completing the temperature rise verification, the intelligent current source module is controlled to reduce the output current, and the reset temperature of each micro switch is recorded. Calculate the hysteresis between the operating temperature and the reset temperature of each microswitch, and determine the reset characteristics of each microswitch based on the hysteresis value.

8. A method for calibrating a winding temperature controller of an oil-immersed transformer, characterized in that, The verification method for the oil-immersed transformer winding temperature controller includes: A current control command is generated based on a dynamic current control algorithm, and a programmable AC current signal is generated according to the current control command. The AC current signal is then output to the current input terminal of the winding temperature controller. The winding temperature controller is simultaneously acquired through multiple signals, including at least one or more of the following: heating resistor current signal, analog signal representing winding temperature, and micro switch status signal. The multi-channel signals are subjected to error analysis and verification logic by executing a temperature-current correlation analysis algorithm. It displays the collected real-time data, error analysis, and final verification results.

9. A calibration device for an oil-immersed transformer winding temperature controller, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the method for verifying the oil-immersed transformer winding temperature controller as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the oil-immersed transformer winding temperature controller verification method as described in any one of claims 1 to 7.

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