Transformer fault detection method and device based on ultraviolet spectrum, medium and equipment

Abstract

The invention discloses a transformer fault detection method and device based on an ultraviolet spectrum, a medium and equipment, and the method comprises the steps: additionally installing an ultraviolet light-emitting detection device in a transformer needing fault detection, so as to enable the ultraviolet light-emitting detection device to carry out the ultraviolet light-emitting detection of transformer oil at a corresponding position; in the operation process of the transformer, carrying out ultraviolet luminescence detection on the transformer oil through the ultraviolet luminescence detection device to obtain an ultraviolet luminescence detection result corresponding to the transformer; based on the ultraviolet luminescence detection result, determining a real-time ultraviolet spectrogram corresponding to the transformer; and obtaining a fault ultraviolet spectrogram of at least one fault corresponding to the transformer, and carrying out fault detection on the transformer based on the fault ultraviolet spectrogram and the real-time ultraviolet spectrogram. The problems that a traditional breakdown experiment is hysteretic and insensitive to component changes, and an existing spectrum detection technology is lack of special methods and standards are solved.

Description

Technical Field

[0001] This application relates to the field of transformer fault detection technology, and in particular to a transformer fault detection method and apparatus, storage medium, and computer equipment based on ultraviolet spectroscopy. Background Technology

[0002] As a core piece of equipment in power grid operation, the safe and stable operation of power transformers is crucial to the grid's overall functioning. However, transformer failures are frequent during grid operation, with equipment malfunctions being one of the main causes of grid outages. Transformer oil, as an important insulating medium in high-voltage electrical equipment, directly affects the safe operation of transformers.

[0003] Traditional transformer oil testing methods, such as breakdown tests, while capable of assessing the electrical properties of oil in a laboratory environment, have several limitations. Firstly, breakdown tests require oil sample collection and transportation, making real-time online monitoring impossible and hindering the timely detection of potential faults. Secondly, these methods primarily focus on electrical performance indicators such as breakdown voltage, and are not sufficiently sensitive to changes in specific components of the oil, thus failing to comprehensively reflect the internal fault conditions of the transformer. Summary of the Invention

[0004] In view of this, the embodiments of this application provide a transformer fault detection method and device, storage medium and computer equipment based on ultraviolet spectroscopy, which helps to solve the problems of lag in traditional breakdown tests, insensitivity to changes in composition, and lack of dedicated methods and standards in existing spectral detection technologies, and provides a strong guarantee for the safe and stable operation of the power grid.

[0005] According to one aspect of this application, a transformer fault detection method based on ultraviolet spectroscopy is provided, the method comprising:

[0006] An ultraviolet light emission detection device is installed in the transformer that needs to be fault detected, so that the ultraviolet light emission detection device can perform ultraviolet light emission detection on the transformer oil at the corresponding location;

[0007] During the operation of the transformer, the transformer oil is subjected to ultraviolet light emission detection by the ultraviolet light emission detection device to obtain the ultraviolet light emission detection results corresponding to the transformer;

[0008] Based on the ultraviolet emission detection results, the real-time ultraviolet spectrum corresponding to the transformer is determined;

[0009] Obtain the ultraviolet spectrum of at least one fault corresponding to the transformer, and perform fault detection on the transformer based on the fault ultraviolet spectrum and the real-time ultraviolet spectrum.

[0010] Optionally, the step of installing an ultraviolet (UV) emission detection device in the transformer requiring fault detection, so that the UV emission detection device can perform UV emission detection on the transformer oil at the corresponding location, includes:

[0011] An ultraviolet (UV) emission detection device is installed on the pipeline connecting the transformer and the transformer oil tank where fault detection is required, so that the UV emission detection device can perform UV emission detection on the transformer oil flowing through the pipeline at the installation location. The UV emission detection device includes a UV spectrophotometer.

[0012] Optionally, during the operation of the transformer, the step of performing ultraviolet light emission detection on the transformer oil using the ultraviolet light emission detection device to obtain the corresponding ultraviolet light emission detection result for the transformer includes:

[0013] During the operation of the transformer, ultraviolet light of different wavelengths is emitted by the ultraviolet light emission device in the ultraviolet light emission detection device, and the ultraviolet light after being absorbed by the transformer oil is detected by the ultraviolet light emission detection device in the ultraviolet light emission detection device. The absorbed ultraviolet light is used as the ultraviolet light emission detection result.

[0014] Optionally, determining the real-time ultraviolet spectrum corresponding to the transformer based on the ultraviolet emission detection result includes:

[0015] Based on the ultraviolet emission detection results of the current time period and the ultraviolet emission detection results of the previous time period corresponding to the current time period, determine the change information of the ultraviolet emission detection results of the current time period compared to the previous time period for different wavelengths;

[0016] Based on the changes in the ultraviolet emission detection results, the real-time ultraviolet spectrum corresponding to the transformer is determined.

[0017] Optionally, determining the real-time ultraviolet spectrum corresponding to the transformer based on the changes in the ultraviolet emission detection results includes:

[0018] Set the window length and polynomial order of the Savitzky-Golay filter, and use the set Savitzky-Golay filter to smooth the changes in ultraviolet emission detection results corresponding to different wavelengths.

[0019] Using a multi-constraint optimization algorithm, with salience constraints and peak spacing constraints set, peak detection is performed on the change information of the filtered ultraviolet emission detection results.

[0020] After setting different display information for the ultraviolet emission detection result change information, the ultraviolet emission detection result change information after filtering, and the peak detection result, a multi-layer overlay rendering technique is used to render the real-time ultraviolet spectrum corresponding to the transformer.

[0021] Optionally, the fault detection of the transformer based on the fault ultraviolet spectrum and the real-time ultraviolet spectrum includes:

[0022] The peak detection results in the real-time ultraviolet spectrum are compared with the reference peak detection results in the fault ultraviolet spectrum to identify whether there is a fault ultraviolet spectrum that matches the real-time ultraviolet spectrum.

[0023] If it does not exist, then the transformer is determined to be in normal working condition;

[0024] If present, the fault type of the transformer is determined based on the fault type of the fault ultraviolet spectrum that matches the real-time ultraviolet spectrum.

[0025] Optionally, before obtaining the fault ultraviolet spectrum of at least one fault corresponding to the transformer, the method further includes:

[0026] Obtain a standard transformer oil sample of the transformer under normal operating conditions, and perform ultraviolet light emission detection on the standard transformer oil sample at different wavelengths to obtain normal ultraviolet light emission detection results;

[0027] The standard transformer oil sample was subjected to state change simulation of various faults to obtain abnormal transformer oil samples under various fault states. Then, the abnormal transformer oil samples under each fault state were subjected to ultraviolet light emission detection at different wavelengths to obtain the fault ultraviolet light emission detection results corresponding to each fault.

[0028] Based on the fault ultraviolet emission detection results corresponding to each fault and the normal ultraviolet emission detection results, the fault change information of the fault ultraviolet emission detection results at different wavelengths corresponding to each fault compared with the normal ultraviolet emission detection results is determined respectively;

[0029] Based on the fault change information corresponding to each fault, a fault ultraviolet spectrum is determined for each fault, and the fault ultraviolet spectrum includes the reference peak detection results corresponding to the fault.

[0030] According to another aspect of this application, a transformer fault detection device based on ultraviolet spectroscopy is provided, the device comprising:

[0031] A transformer retrofit module is used to install an ultraviolet light emission detection device in a transformer that requires fault detection, so that the ultraviolet light emission detection device can perform ultraviolet light emission detection on the transformer oil at the corresponding location.

[0032] The ultraviolet light emission detection module is used to perform ultraviolet light emission detection on the transformer oil through the ultraviolet light emission detection device during the operation of the transformer, and obtain the ultraviolet light emission detection result corresponding to the transformer.

[0033] The spectrum generation module is used to determine the real-time ultraviolet spectrum corresponding to the transformer based on the ultraviolet emission detection results.

[0034] The fault detection module is used to acquire the fault ultraviolet spectrum of at least one fault corresponding to the transformer, and to perform fault detection on the transformer based on the fault ultraviolet spectrum and the real-time ultraviolet spectrum.

[0035] Optionally, the transformer modification module is used for:

[0036] An ultraviolet (UV) emission detection device is installed on the pipeline connecting the transformer and the transformer oil tank where fault detection is required, so that the UV emission detection device can perform UV emission detection on the transformer oil flowing through the pipeline at the installation location. The UV emission detection device includes a UV spectrophotometer.

[0037] Optionally, the ultraviolet emission detection module is used for:

[0038] During the operation of the transformer, ultraviolet light of different wavelengths is emitted by the ultraviolet light emission device in the ultraviolet light emission detection device, and the ultraviolet light after being absorbed by the transformer oil is detected by the ultraviolet light emission detection device in the ultraviolet light emission detection device. The absorbed ultraviolet light is used as the ultraviolet light emission detection result.

[0039] Optionally, the spectrum generation module is used for:

[0040] Based on the ultraviolet emission detection results of the current time period and the ultraviolet emission detection results of the previous time period corresponding to the current time period, determine the change information of the ultraviolet emission detection results of the current time period compared to the previous time period for different wavelengths;

[0041] Based on the changes in the ultraviolet emission detection results, the real-time ultraviolet spectrum corresponding to the transformer is determined.

[0042] Optionally, the spectrum generation module is used for:

[0043] Set the window length and polynomial order of the Savitzky-Golay filter, and use the set Savitzky-Golay filter to smooth the changes in ultraviolet emission detection results corresponding to different wavelengths.

[0044] Using a multi-constraint optimization algorithm, with salience constraints and peak spacing constraints set, peak detection is performed on the change information of the filtered ultraviolet emission detection results.

[0045] After setting different display information for the ultraviolet emission detection result change information, the ultraviolet emission detection result change information after filtering, and the peak detection result, a multi-layer overlay rendering technique is used to render the real-time ultraviolet spectrum corresponding to the transformer.

[0046] Optionally, the fault detection module is used for:

[0047] The peak detection results in the real-time ultraviolet spectrum are compared with the reference peak detection results in the fault ultraviolet spectrum to identify whether there is a fault ultraviolet spectrum that matches the real-time ultraviolet spectrum.

[0048] If it does not exist, then the transformer is determined to be in normal working condition;

[0049] If present, the fault type of the transformer is determined based on the fault type of the fault ultraviolet spectrum that matches the real-time ultraviolet spectrum.

[0050] Optionally, the fault detection module is used for:

[0051] Obtain a standard transformer oil sample of the transformer under normal operating conditions, and perform ultraviolet light emission detection on the standard transformer oil sample at different wavelengths to obtain normal ultraviolet light emission detection results;

[0052] The standard transformer oil sample was subjected to state change simulation of various faults to obtain abnormal transformer oil samples under various fault states. Then, the abnormal transformer oil samples under each fault state were subjected to ultraviolet light emission detection at different wavelengths to obtain the fault ultraviolet light emission detection results corresponding to each fault.

[0053] Based on the fault ultraviolet emission detection results corresponding to each fault and the normal ultraviolet emission detection results, the fault change information of the fault ultraviolet emission detection results at different wavelengths corresponding to each fault compared with the normal ultraviolet emission detection results is determined respectively;

[0054] Based on the fault change information corresponding to each fault, a fault ultraviolet spectrum is determined for each fault, and the fault ultraviolet spectrum includes the reference peak detection results corresponding to the fault.

[0055] According to another aspect of this application, a storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the above-described transformer fault detection method based on ultraviolet spectroscopy.

[0056] According to another aspect of this application, a computer device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor executes the program to implement the above-described transformer fault detection method based on ultraviolet spectroscopy.

[0057] By employing the above technical solution, the embodiments of this application provide a transformer fault detection method and device based on ultraviolet spectroscopy, a storage medium, and computer equipment. Through steps such as adding an ultraviolet emission detection device, real-time ultraviolet emission detection, generating a real-time ultraviolet spectrum, and comparing it with a fault spectrum, online and real-time monitoring and accurate judgment of transformer faults are achieved. Compared with traditional detection methods, this solution has advantages such as in-situ detection, real-time monitoring, component analysis, quantitative assessment, pattern recognition, and early warning functions. It can effectively solve the problems of lag in traditional breakdown experiments, insensitivity to component changes, and the lack of dedicated methods and standards in existing spectral detection technologies, providing strong protection for the safe and stable operation of the power grid.

[0058] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0059] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0060] Figure 1 A schematic flowchart of a transformer fault detection method based on ultraviolet spectroscopy provided in an embodiment of this application is shown.

[0061] Figure 2 This diagram illustrates the position of an ultraviolet emission detection device according to an embodiment of this application.

[0062] Figure 3 This paper shows a schematic diagram of a transformer fault detection device based on ultraviolet spectroscopy provided in an embodiment of this application. Detailed Implementation

[0063] The present application will be described in detail below with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in the embodiments of the present application can be combined with each other.

[0064] This embodiment provides a transformer fault detection method based on ultraviolet spectroscopy, such as... Figure 1 As shown, the method includes:

[0065] Step 101: Install an ultraviolet light emission detection device in the transformer that needs to be fault detected, so that the ultraviolet light emission detection device can perform ultraviolet light emission detection on the transformer oil at the corresponding location.

[0066] Among them, an ultraviolet light emission detection device is installed on the pipeline connecting the transformer and the transformer oil tank where fault detection is required, so that the ultraviolet light emission detection device can perform ultraviolet light emission detection on the transformer oil flowing through the pipeline at the installation location. The ultraviolet light emission detection device includes an ultraviolet spectrophotometer.

[0067] In this embodiment of the application, an ultraviolet emission detection device is installed on the pipeline connecting the transformer and the oil tank. Specifically, this device can be an ultraviolet spectrophotometer to achieve real-time ultraviolet emission detection of the transformer oil flowing through the pipeline. Figure 2 As shown, the pipeline connecting the transformer to the oil conservator can be modified by installing an ultraviolet (UV) emission detection device at the gas relay point passing through the pipeline. This allows for direct detection along the transformer oil flow path, avoiding the cumbersome process of collecting and transporting oil samples required in traditional breakdown tests, thus reducing the risks of sample contamination and detection delays. By monitoring the oil flow, the oil quality status at different locations inside the transformer can be reflected in real time, improving the comprehensiveness and accuracy of the detection. This solves the problem that traditional breakdown tests require offline operation and cannot monitor the transformer oil status in real time. The in-situ detection device enables real-time online monitoring of the transformer oil, overcoming the lag problem of traditional methods.

[0068] Step 102: During the operation of the transformer, the transformer oil is subjected to ultraviolet light emission detection by the ultraviolet light emission detection device to obtain the ultraviolet light emission detection result corresponding to the transformer.

[0069] In this embodiment, during transformer operation, an ultraviolet (UV) emission detection device is used to detect the transformer oil using UV emission, obtaining the detection results to promptly identify potential faults and prevent their escalation. Continuous detection allows tracking of changes in transformer oil performance, providing data support for fault prediction. This helps solve the problem of traditional detection methods' difficulty in achieving real-time monitoring of transformer oil. Ultraviolet absorption spectroscopy is based on the Beer-Lambert Law, which describes the relationship between a substance's absorption of light and its concentration, optical path length, and absorbance. Specifically, when a beam of monochromatic light passes through a solution containing the analyte, the molecules in the solution absorb some of the light, resulting in a decrease in the intensity of the transmitted light. Most organic compounds contain chromophores (such as unsaturated bonds, aromatic rings, etc.), which can absorb UV light of specific wavelengths. Different organic compounds, due to their different molecular structures, will produce characteristic absorption peaks at different wavelengths. For example, the benzene ring structure has a strong absorption peak around 260 nm. UV detectors have high sensitivity for most organic compounds.

[0070] Step 103: Based on the ultraviolet emission detection results, determine the real-time ultraviolet spectrum corresponding to the transformer.

[0071] In this embodiment, based on the ultraviolet luminescence detection results, a real-time ultraviolet spectrum of the transformer is generated, reflecting the absorption characteristics of different components in the transformer oil. This provides detailed information for fault analysis, thereby assessing the content changes of specific components in the transformer oil and improving the accuracy and reliability of the detection. This addresses the problem that traditional breakdown tests mainly focus on the electrical properties of the oil and are not sensitive enough to changes in oil composition, providing more comprehensive information for fault diagnosis.

[0072] Step 104: Obtain the ultraviolet spectrum of at least one fault corresponding to the transformer, and perform fault detection on the transformer based on the fault ultraviolet spectrum and the real-time ultraviolet spectrum.

[0073] In this embodiment, the ultraviolet (UV) spectrum of at least one fault corresponding to the transformer is obtained, and the real-time UV spectrum is compared with the fault spectrum. By comparing the real-time spectrum with the fault spectrum, abnormal changes in the transformer oil can be identified, achieving automatic fault detection and classification. Furthermore, when the real-time spectrum approaches the fault spectrum, the system can issue an early warning signal to allow for timely measures to prevent the fault from occurring. This solves the problem that existing spectral detection technologies lack dedicated detection methods and fault judgment standards for transformer oil. By establishing a fault UV spectrum database and comparing it with existing databases, the accuracy and reliability of fault detection are improved.

[0074] By applying the technical solution of this embodiment, through steps such as installing an ultraviolet emission detection device, real-time ultraviolet emission detection, generating a real-time ultraviolet spectrum, and comparing it with a fault spectrum, online and real-time monitoring and accurate judgment of transformer faults are achieved. Compared with traditional detection methods, this solution has advantages such as in-situ detection, real-time monitoring, component analysis, quantitative assessment, pattern recognition, and early warning functions. It can effectively solve the problems of lag in traditional breakdown tests, insensitivity to component changes, and the lack of dedicated methods and standards in existing spectral detection technologies, providing strong protection for the safe and stable operation of the power grid.

[0075] Optionally, in this embodiment of the application, the step of performing ultraviolet light emission detection on the transformer oil through the ultraviolet light emission detection device during the operation of the transformer to obtain the ultraviolet light emission detection result corresponding to the transformer includes: during the operation of the transformer, emitting ultraviolet light of different wavelengths through the ultraviolet light emission device in the ultraviolet light emission detection device and detecting the ultraviolet light after the emitted ultraviolet light is absorbed by the transformer oil through the ultraviolet light detection device in the ultraviolet light emission detection device, and taking the absorbed ultraviolet light as the ultraviolet light emission detection result.

[0076] In this embodiment, the ultraviolet (UV) emission detection device consists of two parts: a UV emission device and a UV detection device. During transformer operation, the UV emission device emits UV light of different wavelengths. This UV light is absorbed by the transformer oil, and then detected by the UV detection device. The absorbed UV light is used as the UV emission detection result for subsequent analysis. The absorption characteristics of different substances to UV light vary with wavelength. By emitting multi-wavelength UV light, a wider UV spectral range can be covered, thereby detecting the absorption characteristics of more types of substances, improving the comprehensiveness of the detection, and ensuring that information on various components in the transformer oil can be captured. Traditional detection methods often require shutdown for sampling, while the technical solution of this application embodiment achieves real-time online monitoring, continuously detecting during transformer operation, which can promptly detect potential faults, prevent fault escalation, and improve the stability and reliability of power grid operation. Changes in the absorption spectrum can reflect changes in trace components in the transformer oil. Even a slight change in the content of a certain component in the transformer oil can lead to a significant change in the absorption spectrum. Therefore, this scheme has high detection sensitivity and can capture minute changes in transformer oil, providing strong support for fault early warning.

[0077] Optionally, in this embodiment, determining the real-time ultraviolet spectrum corresponding to the transformer based on the ultraviolet emission detection result includes: determining the change information of the ultraviolet emission detection result of the current time period compared to the previous time period based on the ultraviolet emission detection result of the current time period and the ultraviolet emission detection result of the previous time period corresponding to the current time period; and determining the real-time ultraviolet spectrum corresponding to the transformer based on the change information of the ultraviolet emission detection result.

[0078] In this embodiment, firstly, the ultraviolet (UV) emission detection results for the current time period and the UV emission detection results for the previous time period are acquired. By comparing the detection results from the two time periods, the changes in UV emission detection results at different wavelengths are determined. Secondly, based on the aforementioned changes, a real-time UV spectrum is determined that reflects the changes in UV emission detection results between the current and previous time periods. By comparing the detection results from different time periods, changes in the transformer oil's condition can be reflected in real time. This dynamic monitoring method can promptly detect potential faults, improving the real-time performance and effectiveness of detection. Furthermore, the absorption characteristics of different substances to UV light vary with wavelength. By acquiring information on changes at different wavelengths, the changing trends of components in the transformer oil can be analyzed more accurately, contributing to improved accuracy and reliability of fault detection.

[0079] Optionally, in this embodiment, determining the real-time ultraviolet spectrum corresponding to the transformer based on the ultraviolet emission detection result change information includes: setting the window length and polynomial order of the Savitzky-Golay filter; using the set Savitzky-Golay filter to perform smooth filtering on the ultraviolet emission detection result change information corresponding to different wavelengths; using a multi-constraint optimization algorithm to set saliency constraints and peak spacing constraints to perform peak detection on the filtered ultraviolet emission detection result change information; and using multi-layer overlay rendering technology to render the real-time ultraviolet spectrum corresponding to the transformer after setting different display information for the ultraviolet emission detection result change information, the filtered ultraviolet emission detection result change information, and the peak detection result.

[0080] In this embodiment, firstly, the window length and polynomial order of the Savitzky-Golay filter are set. Then, the adjusted Savitzky-Golay filter is used to smooth the changes in ultraviolet emission detection results at different wavelengths. The Savitzky-Golay filter is a classic signal smoothing method widely used in spectral analysis and signal processing. Its principle is based on local polynomial least squares fitting; by adjusting the window length and polynomial order, smoothing of signals with different characteristics can be achieved. The Savitzky-Golay filter is a filtering method based on local polynomial least squares fitting, which can effectively remove noise from the signal while preserving its characteristic information. Through smoothing filtering, the signal-to-noise ratio of the ultraviolet spectrum can be improved, making the spectrum clearer and more accurate. Compared to conventional mean filtering, it has two core advantages: it can effectively preserve the higher-order moment characteristics of the signal (such as peak shape and curvature), avoiding peak passivation caused by traditional low-pass filtering; and it achieves precise control of frequency response characteristics by adjusting the window length and polynomial order.

[0081] Secondly, a multi-constraint optimization algorithm is used to perform peak detection on the changes in the filtered ultraviolet emission detection results by setting prominence and peak spacing constraints. Multi-constraint optimization algorithms are common in spectral analysis; by setting different constraints, they can effectively identify characteristic peaks in the spectrum. Prominence and peak spacing constraints are commonly used constraints in spectral analysis, ensuring that the detected peaks have sufficient intensity and independence. Specifically, the prominence threshold (prominence = np.std(y_smoothed) * 2) can be dynamically set based on the statistical characteristics of the changes in the ultraviolet emission monitoring results, making the detection sensitivity adaptable to the noise level; the minimum peak spacing (distance = len(y) / / 20) is calculated based on the data length ratio of the changes in the ultraviolet emission monitoring results, ensuring that the algorithm can adapt to datasets with different sampling densities. By setting prominence and peak spacing constraints, the constraint optimization algorithm can more accurately identify characteristic peaks in the spectrum. Prominence constraints ensure that the detected peaks have sufficient intensity, while peak spacing constraints avoid interference from adjacent peaks, thereby improving the accuracy and reliability of peak detection. Finally, different display information was set for the changes in ultraviolet (UV) emission detection results, the changes in UV emission detection results after filtering, and the peak detection results. A multi-layer overlay rendering technique was used to render the real-time UV spectrum corresponding to the transformer. This technique allows the original changes, the filtered changes, and the peak detection results to be displayed in different layers. This display method provides more comprehensive spectral information, facilitating analysts to compare different information and more accurately determine the condition of the transformer oil and potential faults.

[0082] In this embodiment of the application, optionally, the step of fault detection of the transformer based on the fault ultraviolet spectrum and the real-time ultraviolet spectrum includes: comparing the peak detection result in the real-time ultraviolet spectrum with the reference peak detection result in the fault ultraviolet spectrum to identify whether there is a fault ultraviolet spectrum that matches the real-time ultraviolet spectrum; if not, it is determined that the transformer is in normal working condition; if so, the fault type of the transformer is determined according to the fault type of the fault ultraviolet spectrum that matches the real-time ultraviolet spectrum.

[0083] In this embodiment, peak detection results from the real-time ultraviolet (UV) spectrum and reference peak detection results from the fault UV spectrum are acquired. These two results are compared to identify whether a fault UV spectrum matching the real-time UV spectrum exists. If no matching fault UV spectrum exists, the transformer is determined to be in normal operating condition. If a matching fault UV spectrum exists, the next step is to determine the fault type. Specifically, the transformer fault type is determined based on the fault type of the fault UV spectrum matching the real-time UV spectrum. The fault UV spectrum is established based on the transformer oil UV spectrum of known fault types and has clear fault characteristics. By comparing the peak detection results of the real-time UV spectrum and the fault UV spectrum, the presence of characteristic peaks in the transformer oil matching known faults can be accurately identified. This characteristic peak matching method improves the accuracy and reliability of fault detection, avoiding false positives and false negatives. This allows for real-time acquisition of UV spectra during transformer operation and comparison with pre-established fault UV spectra, achieving real-time fault detection. Once a matching fault UV spectrum is detected, the system can immediately issue an early warning signal, enabling timely measures to prevent the fault from occurring and thus improving the real-time performance of fault detection. Furthermore, traditional fault detection methods often require complex analysis processes and specialized analysts, while this solution transforms fault detection into a characteristic peak matching problem by pre-establishing a fault UV spectrum library. Once a match is successful, the fault type of the transformer can be directly determined based on the fault UV spectrum, thereby simplifying the fault detection process and improving efficiency.

[0084] Optionally, in this embodiment of the application, before obtaining the fault ultraviolet spectrum of at least one fault corresponding to the transformer, the method further includes: obtaining a standard transformer oil sample of the transformer under normal operating conditions; performing ultraviolet emission detection on the standard transformer oil sample at different wavelengths to obtain normal ultraviolet emission detection results; simulating the state changes of the standard transformer oil sample under various fault conditions to obtain abnormal transformer oil samples under various fault conditions, and performing ultraviolet emission detection on the abnormal transformer oil samples under each fault condition at different wavelengths to obtain fault ultraviolet emission detection results corresponding to each fault; determining the fault change information of the fault ultraviolet emission detection results at different wavelengths corresponding to each fault compared to the normal ultraviolet emission detection results based on the fault ultraviolet emission detection results and the normal ultraviolet emission detection results; and determining the fault ultraviolet spectrum of each fault based on the fault change information corresponding to each fault, wherein the fault ultraviolet spectrum includes the reference peak detection results corresponding to the corresponding fault.

[0085] In this embodiment, firstly, a standard transformer oil sample under normal operating conditions is obtained, and ultraviolet (UV) emission detection at different wavelengths is performed on the standard transformer oil sample to obtain normal UV emission detection results. Secondly, fault conditions are simulated, and fault UV emission detection results are obtained. Specifically, the state changes of various faults are simulated on the standard transformer oil sample. By analyzing different types of transformer faults, the changes in transformer oil caused by different types of faults are determined, and the compositional changes of the standard transformer oil sample are simulated to obtain abnormal transformer oil samples under various fault conditions. Furthermore, UV emission detection at different wavelengths is performed on the abnormal transformer oil samples under each fault condition to obtain fault UV emission detection results corresponding to each fault. Thus, by simulating fault conditions, abnormal transformer oil samples under various fault conditions can be obtained, ensuring the comprehensiveness and representativeness of the spectra in the fault UV spectrum library. This simulation method can cover more possible fault conditions and improve the applicability of fault detection. Finally, based on the fault UV emission detection results and normal UV emission detection results corresponding to each fault, the fault change information of the fault UV emission detection results at different wavelengths corresponding to each fault is determined compared to the normal UV emission detection results. Based on the fault change information corresponding to each fault, a fault ultraviolet (UV) spectrum is determined for each fault. The specific method for determining this fault UV spectrum can refer to the method for determining the real-time UV spectrum, which will not be elaborated here. The fault UV spectrum includes the corresponding reference peak detection results. By simulating various fault states, fault UV spectra corresponding to various faults can be obtained, thus establishing a fault UV spectrum library. In subsequent fault detection, the real-time UV spectrum can be compared with the spectra in the fault UV spectrum library, improving the accuracy and reliability of fault detection. This method based on fault simulation and UV spectral analysis can establish a comprehensive, accurate, and practical fault UV spectrum library, providing strong support for transformer fault detection. Compared with traditional detection methods, this scheme has higher accuracy, comprehensiveness, and practicality, providing a stronger guarantee for the safe and stable operation of the power grid.

[0086] Furthermore, as Figure 1 In terms of specific implementation, this application provides a transformer fault detection device based on ultraviolet spectroscopy, such as... Figure 3 As shown, the device includes:

[0087] A transformer retrofit module is used to install an ultraviolet light emission detection device in a transformer that requires fault detection, so that the ultraviolet light emission detection device can perform ultraviolet light emission detection on the transformer oil at the corresponding location.

[0088] The ultraviolet light emission detection module is used to perform ultraviolet light emission detection on the transformer oil through the ultraviolet light emission detection device during the operation of the transformer, and obtain the ultraviolet light emission detection result corresponding to the transformer.

[0089] The spectrum generation module is used to determine the real-time ultraviolet spectrum corresponding to the transformer based on the ultraviolet emission detection results.

[0090] The fault detection module is used to acquire the fault ultraviolet spectrum of at least one fault corresponding to the transformer, and to perform fault detection on the transformer based on the fault ultraviolet spectrum and the real-time ultraviolet spectrum.

[0091] Optionally, the transformer modification module is used for:

[0092] An ultraviolet (UV) emission detection device is installed on the pipeline connecting the transformer and the transformer oil tank where fault detection is required, so that the UV emission detection device can perform UV emission detection on the transformer oil flowing through the pipeline at the installation location. The UV emission detection device includes a UV spectrophotometer.

[0093] Optionally, the ultraviolet emission detection module is used for:

[0094] During the operation of the transformer, ultraviolet light of different wavelengths is emitted by the ultraviolet light emission device in the ultraviolet light emission detection device, and the ultraviolet light after being absorbed by the transformer oil is detected by the ultraviolet light emission detection device in the ultraviolet light emission detection device. The absorbed ultraviolet light is used as the ultraviolet light emission detection result.

[0095] Optionally, the spectrum generation module is used for:

[0096] Based on the ultraviolet emission detection results of the current time period and the ultraviolet emission detection results of the previous time period corresponding to the current time period, determine the change information of the ultraviolet emission detection results of the current time period compared to the previous time period for different wavelengths;

[0097] Based on the changes in the ultraviolet emission detection results, the real-time ultraviolet spectrum corresponding to the transformer is determined.

[0098] Optionally, the spectrum generation module is used for:

[0099] Set the window length and polynomial order of the Savitzky-Golay filter, and use the set Savitzky-Golay filter to smooth the changes in ultraviolet emission detection results corresponding to different wavelengths.

[0100] Using a multi-constraint optimization algorithm, with salience constraints and peak spacing constraints set, peak detection is performed on the change information of the filtered ultraviolet emission detection results.

[0101] After setting different display information for the ultraviolet emission detection result change information, the ultraviolet emission detection result change information after filtering, and the peak detection result, a multi-layer overlay rendering technique is used to render the real-time ultraviolet spectrum corresponding to the transformer.

[0102] Optionally, the fault detection module is used for:

[0103] The peak detection results in the real-time ultraviolet spectrum are compared with the reference peak detection results in the fault ultraviolet spectrum to identify whether there is a fault ultraviolet spectrum that matches the real-time ultraviolet spectrum.

[0104] If it does not exist, then the transformer is determined to be in normal working condition;

[0105] If present, the fault type of the transformer is determined based on the fault type of the fault ultraviolet spectrum that matches the real-time ultraviolet spectrum.

[0106] Optionally, the fault detection module is used for:

[0107] Obtain a standard transformer oil sample of the transformer under normal operating conditions, and perform ultraviolet light emission detection on the standard transformer oil sample at different wavelengths to obtain normal ultraviolet light emission detection results;

[0108] The standard transformer oil sample was subjected to state change simulation of various faults to obtain abnormal transformer oil samples under various fault states. Then, the abnormal transformer oil samples under each fault state were subjected to ultraviolet light emission detection at different wavelengths to obtain the fault ultraviolet light emission detection results corresponding to each fault.

[0109] Based on the fault ultraviolet emission detection results corresponding to each fault and the normal ultraviolet emission detection results, the fault change information of the fault ultraviolet emission detection results at different wavelengths corresponding to each fault compared with the normal ultraviolet emission detection results is determined respectively;

[0110] Based on the fault change information corresponding to each fault, a fault ultraviolet spectrum is determined for each fault, and the fault ultraviolet spectrum includes the reference peak detection results corresponding to the fault.

[0111] It should be noted that other corresponding descriptions of the functional units involved in the transformer fault detection device based on ultraviolet spectroscopy provided in this application embodiment can be found in the following references. Figure 1 The corresponding descriptions in the method will not be repeated here.

[0112] This application also provides a computer device, specifically a personal computer, server, network device, etc. The computer device includes a bus, processor, memory, and communication interface, and may also include input / output interfaces and a display device. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device stores location information. The network interface of the computer device is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements the steps in the various method embodiments.

[0113] Those skilled in the art will understand that the structure of the computer device described above is only a partial structure related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. A specific computer device may include more or fewer components, or combine certain components, or have different component arrangements.

[0114] In one embodiment, a computer-readable storage medium is provided, which may be non-volatile or volatile, having stored thereon a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0115] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0116] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0117] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0118] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0119] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A transformer fault detection method based on ultraviolet spectroscopy, characterized in that, The method includes: An ultraviolet light emission detection device is installed in the transformer that needs to be fault detected, so that the ultraviolet light emission detection device can perform ultraviolet light emission detection on the transformer oil at the corresponding location; During the operation of the transformer, the transformer oil is subjected to ultraviolet light emission detection by the ultraviolet light emission detection device to obtain the ultraviolet light emission detection results corresponding to the transformer; Based on the ultraviolet emission detection results, the real-time ultraviolet spectrum corresponding to the transformer is determined; Obtain the ultraviolet spectrum of at least one fault corresponding to the transformer, and perform fault detection on the transformer based on the fault ultraviolet spectrum and the real-time ultraviolet spectrum.

2. The method according to claim 1, characterized in that, The method of installing an ultraviolet (UV) emission detection device in a transformer requiring fault detection, so that the UV emission detection device can perform UV emission detection on the transformer oil at the corresponding location, includes: An ultraviolet (UV) emission detection device is installed on the pipeline connecting the transformer and the transformer oil tank where fault detection is required, so that the UV emission detection device can perform UV emission detection on the transformer oil flowing through the pipeline at the installation location. The UV emission detection device includes a UV spectrophotometer.

3. The method according to claim 1, characterized in that, During the operation of the transformer, the ultraviolet light emission detection device is used to perform ultraviolet light emission detection on the transformer oil to obtain the corresponding ultraviolet light emission detection result for the transformer, including: During the operation of the transformer, ultraviolet light of different wavelengths is emitted by the ultraviolet light emission device in the ultraviolet light emission detection device, and the ultraviolet light after being absorbed by the transformer oil is detected by the ultraviolet light emission detection device in the ultraviolet light emission detection device. The absorbed ultraviolet light is used as the ultraviolet light emission detection result.

4. The method according to claim 3, characterized in that, The step of determining the real-time ultraviolet spectrum corresponding to the transformer based on the ultraviolet emission detection results includes: Based on the ultraviolet emission detection results of the current time period and the ultraviolet emission detection results of the previous time period corresponding to the current time period, determine the change information of the ultraviolet emission detection results of the current time period compared to the previous time period for different wavelengths; Based on the changes in the ultraviolet emission detection results, the real-time ultraviolet spectrum corresponding to the transformer is determined.

5. The method according to claim 4, characterized in that, The step of determining the real-time ultraviolet spectrum corresponding to the transformer based on the change information of the ultraviolet emission detection results includes: Set the window length and polynomial order of the Savitzky-Golay filter, and use the set Savitzky-Golay filter to smooth the changes in ultraviolet emission detection results corresponding to different wavelengths. Using a multi-constraint optimization algorithm, with salience constraints and peak spacing constraints set, peak detection is performed on the change information of the filtered ultraviolet emission detection results. After setting different display information for the ultraviolet emission detection result change information, the ultraviolet emission detection result change information after filtering, and the peak detection result, a multi-layer overlay rendering technique is used to render the real-time ultraviolet spectrum corresponding to the transformer.

6. The method according to claim 5, characterized in that, The fault detection of the transformer based on the fault ultraviolet spectrum and the real-time ultraviolet spectrum includes: The peak detection results in the real-time ultraviolet spectrum are compared with the reference peak detection results in the fault ultraviolet spectrum to identify whether there is a fault ultraviolet spectrum that matches the real-time ultraviolet spectrum. If it does not exist, then the transformer is determined to be in normal working condition; If present, the fault type of the transformer is determined based on the fault type of the fault ultraviolet spectrum that matches the real-time ultraviolet spectrum.

7. The method according to any one of claims 1 to 6, characterized in that, Before obtaining the fault ultraviolet spectrum of at least one fault corresponding to the transformer, the method further includes: Obtain a standard transformer oil sample of the transformer under normal operating conditions, and perform ultraviolet light emission detection on the standard transformer oil sample at different wavelengths to obtain normal ultraviolet light emission detection results; The standard transformer oil sample was subjected to state change simulation of various faults to obtain abnormal transformer oil samples under various fault states. Then, the abnormal transformer oil samples under each fault state were subjected to ultraviolet light emission detection at different wavelengths to obtain the fault ultraviolet light emission detection results corresponding to each fault. Based on the fault ultraviolet emission detection results corresponding to each fault and the normal ultraviolet emission detection results, the fault change information of the fault ultraviolet emission detection results at different wavelengths corresponding to each fault compared with the normal ultraviolet emission detection results is determined respectively; Based on the fault change information corresponding to each fault, a fault ultraviolet spectrum is determined for each fault, and the fault ultraviolet spectrum includes the reference peak detection results corresponding to the fault.

8. A transformer fault detection device based on ultraviolet spectroscopy, characterized in that, The device includes: A transformer retrofit module is used to install an ultraviolet light emission detection device in a transformer that requires fault detection, so that the ultraviolet light emission detection device can perform ultraviolet light emission detection on the transformer oil at the corresponding location. The ultraviolet light emission detection module is used to perform ultraviolet light emission detection on the transformer oil through the ultraviolet light emission detection device during the operation of the transformer, and obtain the ultraviolet light emission detection result corresponding to the transformer. The spectrum generation module is used to determine the real-time ultraviolet spectrum corresponding to the transformer based on the ultraviolet emission detection results. The fault detection module is used to acquire the fault ultraviolet spectrum of at least one fault corresponding to the transformer, and to perform fault detection on the transformer based on the fault ultraviolet spectrum and the real-time ultraviolet spectrum.

9. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

10. A computer device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 7.

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