Transformer substation inspection result verification method and device, computer equipment and storage medium

Abstract

The invention relates to a transformer substation inspection result verification method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring state data of substation equipment acquired by a sensor on inspection equipment; determining an equipment inspection result of the substation equipment according to the state data; under the condition that the equipment inspection result indicates that the substation equipment has a fault, acquiring the current current drift rate of a current sensor in the sensors; and according to a preset drift rate threshold and the current current drift rate, analyzing the accuracy of the equipment inspection result to obtain an accuracy analysis result. According to the method, by combining the equipment state data and the drift rate of the current sensor, accuracy analysis can be carried out, the reliability of the equipment inspection result is ensured, the accuracy of the inspection result is improved, the risks of missing inspection and false inspection can be effectively reduced, and the efficiency and precision of equipment maintenance are improved.

Description

Technical Field

[0001] This application relates to the field of substation inspection technology, and in particular to a method, device, computer equipment and storage medium for verifying substation inspection results. Background Technology

[0002] As a crucial component of the power system, the stability of substation equipment operation directly impacts the security and stability of power supply. With increasing electricity demand and the growing complexity of power equipment, the operation and maintenance pressure on substations is gradually increasing. In particular, during equipment inspection and maintenance, timely detection of potential equipment problems and faults has become a critical task.

[0003] In related technologies, substation equipment inspection mainly employs manual inspection, drone inspection, intelligent inspection robot inspection, and remote intelligent inspection. Manual inspection relies on the direct observation of inspectors to keenly detect problems such as abnormal appearance, odor, and unusual noises in equipment; drone inspection utilizes its flexible flight characteristics to inspect equipment in high and medium altitude areas; intelligent inspection robots can operate autonomously according to preset programs to achieve automated equipment inspection; remote intelligent inspection uses sensor and network technologies to acquire equipment operating data in real time, enabling remote monitoring and fault early warning.

[0004] However, in related technologies, because substation equipment is in a specific environment for a long time, it is easy to accumulate dust. Dust may affect the heat dissipation performance of the equipment, causing the equipment temperature to rise abnormally. It may also cover up some defects or abnormal signs on the surface of the equipment, resulting in inaccurate equipment inspection results. Therefore, how to verify the accuracy of equipment inspection results in order to improve the reliability of equipment inspection results has become an urgent problem to be solved in this field. Summary of the Invention

[0005] Therefore, it is necessary to provide a method, device, computer equipment, computer-readable storage medium, and computer program product for verifying substation inspection results that can improve the accuracy of identifying abnormal conditions of substation equipment, in response to the above-mentioned technical problems.

[0006] Firstly, this application provides a method for verifying substation inspection results. The method includes:

[0007] Acquire status data of substation equipment collected by sensors on the inspection equipment;

[0008] Determine the equipment inspection results of substation equipment based on status data;

[0009] When the equipment inspection results indicate that there is a fault in the substation equipment, obtain the current drift rate of the current sensor in the sensor.

[0010] The accuracy of equipment inspection results is analyzed based on the preset drift rate threshold and the current current drift rate to obtain the accuracy analysis results.

[0011] In one embodiment, the accuracy of the equipment inspection results is analyzed based on a preset drift rate threshold and the current current drift rate to obtain an accuracy analysis result, including:

[0012] If the current current drift rate is greater than the first drift rate, the accuracy analysis result is determined to be that the equipment inspection result is inaccurate.

[0013] If the current drift rate is less than or equal to the first drift rate, the accuracy analysis result is determined to be accurate for the equipment inspection result.

[0014] In one embodiment, the method further includes:

[0015] If the current drift rate is greater than the first drift rate and less than the second drift rate, and the communication signal-to-noise ratio of the inspection equipment is greater than the first preset signal-to-noise ratio and less than the second preset signal-to-noise ratio, then the size of the data packet transmitted between the inspection equipment and the computer equipment is adjusted.

[0016] If the current drift rate is greater than the second drift rate, adjust the sampling frequency of the current sensor.

[0017] In one embodiment, the method further includes:

[0018] If the communication signal-to-noise ratio of the inspection equipment is less than the first preset signal-to-noise ratio, the environmental stability analysis result is determined based on the packet loss rate of the data packets transmitted between the inspection equipment and the computer equipment and the preset packet loss rate. If the environmental stability analysis result does not meet the environmental stability conditions, the retransmission interval of the data packets transmitted between the inspection equipment and the computer equipment is adjusted.

[0019] In one embodiment, determining the equipment inspection results of substation equipment based on status data includes:

[0020] Preprocess the state data to obtain the target state data;

[0021] The equipment inspection results of the substation equipment are determined based on the target status data.

[0022] In one embodiment, the state data is preprocessed to obtain target state data, including:

[0023] Denoise the current device data to obtain the current denoised data;

[0024] Perform missing data imputation on the current denoised data to obtain the imputed data;

[0025] Normalize the current imputed data to obtain the current normalized data;

[0026] Use the current normalized data as the target state data.

[0027] Secondly, this application also provides a substation inspection result verification device. The device includes:

[0028] The data acquisition module is used to acquire status data of substation equipment collected by sensors;

[0029] The determination module is used to determine the equipment inspection results of substation equipment based on status data.

[0030] The acquisition module is used to acquire the current drift rate of the current sensor in the sensor when the equipment inspection results indicate that there is a fault in the substation equipment;

[0031] The analysis module is used to analyze the accuracy of equipment inspection results based on a preset drift rate threshold and the current current drift rate, and obtain the accuracy analysis results.

[0032] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:

[0033] Acquire status data of substation equipment collected by sensors on the inspection equipment;

[0034] Determine the equipment inspection results of substation equipment based on status data;

[0035] When the equipment inspection results indicate that there is a fault in the substation equipment, obtain the current drift rate of the current sensor in the sensor.

[0036] The accuracy of equipment inspection results is analyzed based on the preset drift rate threshold and the current current drift rate to obtain the accuracy analysis results.

[0037] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, performs the following steps:

[0038] Acquire status data of substation equipment collected by sensors on the inspection equipment;

[0039] Determine the equipment inspection results of substation equipment based on status data;

[0040] When the equipment inspection results indicate that there is a fault in the substation equipment, obtain the current drift rate of the current sensor in the sensor.

[0041] The accuracy of equipment inspection results is analyzed based on the preset drift rate threshold and the current current drift rate to obtain the accuracy analysis results.

[0042] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, performs the following steps:

[0043] Acquire status data of substation equipment collected by sensors on the inspection equipment;

[0044] Determine the equipment inspection results of substation equipment based on status data;

[0045] When the equipment inspection results indicate that there is a fault in the substation equipment, obtain the current drift rate of the current sensor in the sensor.

[0046] The accuracy of equipment inspection results is analyzed based on the preset drift rate threshold and the current current drift rate to obtain the accuracy analysis results.

[0047] The aforementioned substation inspection result verification method, device, computer equipment, storage medium, and computer program product acquire substation equipment status data collected by sensors to achieve real-time monitoring of equipment operating status, thereby effectively assessing the health status of the equipment, i.e., the equipment inspection results. Furthermore, when the equipment inspection results indicate a potential fault, comparing the current current drift rate with a preset current drift rate threshold can effectively reveal whether the equipment is in an abnormal state. In other words, by combining equipment status data and the drift rate of the current sensors, the accuracy of the obtained substation equipment inspection results can be analyzed, ensuring the reliability of the inspection results. This not only improves the accuracy of inspection results but also effectively reduces the risk of missed or false detections, improving the efficiency and accuracy of equipment maintenance. Attached Figure Description

[0048] Figure 1 This is a flowchart illustrating a method for verifying substation inspection results in one embodiment.

[0049] Figure 2 This is a flowchart illustrating the current sensor sampling frequency adjustment steps in one embodiment;

[0050] Figure 3 This is a structural block diagram of a substation inspection result verification device in one embodiment;

[0051] Figure 4 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0052] In order to make the purpose, technical solutions and advantages of this application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0053] In one embodiment, such as Figure 1 As shown, a method for verifying substation inspection results is provided. This embodiment illustrates the method by applying it to a terminal. It is understood that this method can also be applied to a server, and to a system including both a terminal and a server, and is implemented through interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0054] Step 102: Obtain the status data of the substation equipment collected by the sensors on the inspection equipment.

[0055] For example, when conducting inspections of substation equipment, various sensors are installed on the inspection equipment to collect status data of the substation equipment. The status data includes, but is not limited to, working status data, operating parameter data, and various fault information. The sensors include, but are not limited to, temperature sensors, pressure sensors, current sensors, and voltage sensors.

[0056] After collection, the status data of the substation equipment is obtained from the inspection equipment, that is, the inspection equipment uploads the status data.

[0057] Step 104: Determine the equipment inspection results of the substation equipment based on the status data.

[0058] For example, the obtained status data is processed to obtain processed data to ensure data accuracy. Then, through in-depth analysis of the processed data, it is possible to identify whether the equipment is operating normally and whether there are potential fault risks. An inspection report, i.e., the equipment inspection result, is then output, which includes at least one of the following: the current status of the equipment, abnormal data, and fault warnings.

[0059] Step 106: If the equipment inspection results indicate that there is a fault in the substation equipment, obtain the current drift rate of the current sensor in the sensor.

[0060] For example, when the equipment inspection results are received and the equipment inspection results issue a substation equipment abnormality alarm, the drift rate of the current data collected by the current sensor per unit time is obtained from the inspected equipment, that is, the current drift rate.

[0061] Step 108: Analyze the accuracy of the equipment inspection results based on the preset drift rate threshold and the current current drift rate to obtain the accuracy analysis results.

[0062] For example, a preset drift rate threshold is used as the normal operating range of the current sensor. Therefore, the drift rate of the current data collected by the current sensor within a unit time is compared with the preset drift rate threshold to assess changes in the device status. If the actual current drift rate exceeds this range, it indicates a potential fault or performance degradation in the device, meaning the device inspection results may be problematic, and the inspection process needs to be adjusted. In one exemplary embodiment, the preset drift rate threshold includes a first drift rate. The drift rate of the current data collected by the current sensor within a unit time, i.e., the current current drift rate, is then compared with the first drift rate. That is, if the current current drift rate is greater than the first drift rate, the accuracy analysis result is determined to be inaccurate; otherwise, the accuracy analysis result is determined to be accurate.

[0063] The aforementioned substation inspection result verification method acquires substation equipment status data collected by sensors to achieve real-time monitoring of equipment operating status, thereby effectively assessing the health status of the equipment, i.e., the equipment inspection results. Furthermore, when the equipment inspection results indicate a potential fault, comparing the current current drift rate with a preset current drift rate threshold can effectively reveal whether the equipment is in an abnormal state. In other words, by combining equipment status data and the drift rate of the current sensors, an accuracy analysis can be performed on the obtained substation equipment inspection results, ensuring the reliability of the inspection results. This not only improves the accuracy of the inspection results but also effectively reduces the risk of missed or false detections, improving the efficiency and accuracy of equipment maintenance.

[0064] In one embodiment, the preset drift rate threshold includes a first drift rate; step 108 above, which involves analyzing the accuracy of the equipment inspection results based on the preset drift rate threshold and the current current drift rate to obtain an accuracy analysis result, can be achieved in the following way:

[0065] If the current current drift rate is greater than the first drift rate, the accuracy analysis result is determined to be that the equipment inspection result is inaccurate; if the current current drift rate is less than or equal to the first drift rate, the accuracy analysis result is determined to be that the equipment inspection result is accurate.

[0066] For example, when analyzing the accuracy of equipment inspection results, it is necessary to compare the drift rate of the current data collected by the current sensor per unit time, i.e., the current drift rate, with the first drift rate. This includes the following situations:

[0067] If the drift rate of the current sensor in collecting current data per unit time exceeds the first drift rate, it indicates that the working state of the equipment has changed significantly, which may lead to unstable performance of the equipment. Consequently, the accuracy analysis results of the substation equipment will be judged as inaccurate. In this case, further diagnostic and repair measures are required to ensure that the equipment returns to normal working condition.

[0068] If the drift rate of the current sensor collecting current data per unit time does not exceed the first drift rate, it indicates that the current change of the substation equipment is within an acceptable range and the degree of drift is not large. In this case, the accuracy analysis results indicate that the equipment inspection results are accurate.

[0069] In this embodiment, the current change status of substation equipment can be effectively detected, and the operational stability of the equipment can be judged based on the drift rate of the current sensor. Further analysis or adjustments can be made when an anomaly is detected. This not only improves the equipment's fault prevention capabilities but also reduces misjudgments and unnecessary maintenance, optimizing the substation's operational efficiency and safety.

[0070] In one embodiment, the preset drift rate threshold further includes a second drift rate. After determining that the accuracy analysis result indicates the equipment inspection result is inaccurate when the current drift rate is greater than the first drift rate, the following steps may also be included:

[0071] If the current current drift rate is greater than the first drift rate and less than the second drift rate, and the communication signal-to-noise ratio of the inspection equipment's communication signal is greater than the first preset signal-to-noise ratio and less than the second preset signal-to-noise ratio, then the size of the data packet transmitted between the inspection equipment and the computer equipment is adjusted.

[0072] If the current drift rate is greater than the second drift rate, the sampling frequency of the current sensor is adjusted.

[0073] For example, if the drift rate of the current sensor exceeds a first drift rate within a unit time, the drift rate is compared with a second drift rate. If it is determined that the drift rate does not exceed the second drift rate, the signal-to-noise ratio (SNR) of the inspection equipment's communication signal needs to be compared with a first preset SNR and a second preset SNR. If the SNR of the inspection equipment's communication signal is determined to be greater than the first preset SNR and less than the second preset SNR, then the size of the data packets transmitted between the inspection equipment and the computer equipment needs to be adjusted. If it is determined that the drift rate of the current sensor exceeds the second drift rate within a unit time, it indicates that the current sensor has aged after long-term use, resulting in a drift in the measurement accuracy of the current sensor. Therefore, the sampling frequency of the current sensor needs to be adjusted.

[0074] In this embodiment, adjusting the size of the data packet can reduce the probability of a single packet being corrupted by interference during the next transmission, thus improving transmission efficiency. Furthermore, adjusting the sampling frequency of the sensor data can reduce the time interval between single samplings during the next inspection, reducing drift accumulation errors during the next inspection and improving the inspection accuracy of substation equipment. In one embodiment, the preset drift rate threshold also includes a second drift rate. The drift rate of the current sensor collecting current data per unit time (i.e., the current current drift rate) is compared with the second drift rate to obtain the comparison result, and adjustments or further analysis and adjustments are made based on this result. The following situation may occur:

[0075] If the drift rate of the current sensor per unit time is less than or equal to the first drift rate, then the inspection accuracy of the substation equipment is determined to meet the requirements.

[0076] If the drift rate of the current sensor per unit time is greater than the first drift rate and less than or equal to the second drift rate, it is preliminarily determined that the communication validity of the analysis data does not meet the requirements, that is, further analysis and judgment of the communication validity are required.

[0077] If the drift rate of the current sensor per unit time is greater than the second drift rate, then the acquisition frequency of the current sensor of the inspection equipment needs to be adjusted.

[0078] In this embodiment, by adjusting the sampling frequency of sensor data through the first drift rate and the second drift rate, the time interval between single samplings can be reduced, the cumulative drift error can be reduced, and the inspection accuracy of substation equipment can be improved.

[0079] In one embodiment, such as Figure 2 As shown, the method further includes:

[0080] Step 202: If the current current drift rate is greater than the first drift rate and less than the second drift rate, and the communication signal-to-noise ratio of the inspection equipment's communication signal is greater than the first preset signal-to-noise ratio and less than the second preset signal-to-noise ratio, then adjust the size of the data packets transmitted between the inspection equipment and the computer equipment.

[0081] For example, when it is determined that the current current drift rate is greater than a first drift rate and less than a second drift rate, it is necessary to compare the communication signal-to-noise ratio (SNR) of the communication signal between the inspection equipment and the inspection system with a preset SNR to determine whether the communication validity of the analyzed data meets the requirements. The preset SNR includes a first preset SNR and a second preset SNR. This can lead to the following situations:

[0082] If the signal-to-noise ratio of the communication signal of the inspection equipment is less than or equal to the first preset signal-to-noise ratio, it is preliminarily determined that the stability of the inspection environment does not meet the requirements.

[0083] If the signal-to-noise ratio of the communication signal of the inspection equipment is greater than the first preset signal-to-noise ratio and less than the second preset signal-to-noise ratio, then adjust the size of the data packets transmitted between the inspection equipment and the computer equipment.

[0084] If the signal-to-noise ratio of the communication signal of the inspection equipment is greater than the second preset signal-to-noise ratio, then the communication validity is determined to meet the requirements.

[0085] When adjusting the packet size, a first preset signal-to-noise ratio (SNR) range is typically set to [30dB, 35dB], and a second preset SNR range is set to [36dB, 40dB]. Preferably, the first preset SNR is 33dB and the second preset SNR is 38dB. The adjustment range of the packet size is determined by the difference between the communication signal's SNR and the first preset SNR, where the adjustment range is the reduction range.

[0086] When the difference between the signal-to-noise ratio (SNR) of the communication signal and the first preset SNR is within 5 dB, the data packet size is reduced to 0.9 times its original size. Conversely, when the difference exceeds 5 dB, in addition to reducing the difference to 0.9 times its original size, the data packet size is reduced by 5 kb for every 2 dB difference exceeding the preset SNR. For example:

[0087] If the difference between the signal-to-noise ratio of the communication signal and the first preset signal-to-noise ratio is 7dB, and the current data packet size is 100kb, the data packet size needs to be adjusted and reduced to 100×0.9-1×5=85kb.

[0088] Step 204: If the current drift rate is greater than the second drift rate, adjust the sampling frequency of the current sensor.

[0089] For example, the first drift rate is typically set to a range of [0.1%, 0.2%], and the second drift rate is set to a range of [0.3%, 0.4%]. Preferably, the first drift rate is 0.15% and the second drift rate is 0.35%. The adjustment range of the sensor data sampling frequency is determined by the difference between the drift rate of the current sensor per unit time and the preset second drift rate, where the adjustment range is the increase.

[0090] When the difference between the current sensor's drift rate and the second drift rate per unit time is within 0.05%, the sensor data sampling frequency is increased to 1.1 times the original value. When the difference exceeds 0.05%, in addition to increasing to 1.1 times the original value, the sensor data sampling frequency increases by 2Hz for every additional 0.05% exceeding the original value. For example:

[0091] The difference between the current sensor's drift rate and the preset second drift rate is 0.2% per unit time. When the current sensor data sampling frequency is 50Hz, the sensor data sampling frequency needs to be increased and adjusted to 50×1.1+3×2=61Hz.

[0092] In this embodiment, the data packet size is adjusted by using a first preset signal-to-noise ratio and a second preset signal-to-noise ratio. By reducing the data packet size, the probability of a single packet being interfered with or corrupted can be reduced, retransmission efficiency can be improved, overall latency can be reduced, and the inspection accuracy of substation equipment can be further improved.

[0093] In one embodiment, the method further includes:

[0094] If the communication signal-to-noise ratio of the inspection equipment is less than the first preset signal-to-noise ratio, the environmental stability analysis result is determined based on the packet loss rate of the data packets transmitted between the inspection equipment and the computer equipment and the preset packet loss rate. If the environmental stability analysis result does not meet the environmental stability conditions, the retransmission interval of the data packets transmitted between the inspection equipment and the computer equipment is adjusted.

[0095] For example, when it is initially determined that the stability of the inspection environment does not meet the requirements, the packet loss rate is compared with the preset packet loss rate to determine whether the environmental stability meets the requirements, resulting in the following situation:

[0096] If the packet loss rate is less than or equal to the preset packet loss rate, then the stability of the inspection environment is determined to meet the requirements.

[0097] If the packet loss rate is greater than the preset packet loss rate, the retransmission interval of the data packets needs to be adjusted.

[0098] When adjusting the retransmission interval of data packets, the preset packet loss rate is generally set within the range of [0.01%, 0.05%], with a preferred preset packet loss rate of 0.03%. Furthermore, the adjustment range of the retransmission interval is determined by the difference between the packet loss rate and the preset packet loss rate.

[0099] When the difference between the set packet loss rate and the preset packet loss rate is within 0.01%, the retransmission interval is reduced to 0.9 times the original value. When the difference exceeds 0.01%, in addition to reducing it to 0.9 times the original value, the retransmission interval is reduced by 2ms for every additional 0.01% exceeding the preset value. For example:

[0100] When the difference between the packet loss rate and the preset packet loss rate is 0.03%, and the retransmission interval of the data packet is 50ms, the retransmission interval of the data packet is reduced to 50×0.9-2×2=41ms.

[0101] In this embodiment, by reducing the retransmission interval, it is possible to avoid the accumulation and loss of more subsequent data packets due to long interval waiting, thereby reducing the data loss time, improving data recovery efficiency, and further improving the inspection accuracy of substation equipment.

[0102] In one embodiment, determining the equipment inspection results of substation equipment based on status data includes:

[0103] Preprocess the status data to obtain the target status data; determine the equipment inspection results of the substation equipment based on the target status data.

[0104] The status data includes equipment operating status and parameter data collected by sensors, such as electrical parameter data, temperature data, vibration data, and infrared thermal imager data. The data is collected by different types of sensors, such as temperature sensors, vibration sensors, and infrared thermal imagers.

[0105] For example, substation equipment status data preprocessing improves data accuracy and reliability through cleaning, noise reduction, and standardization, providing data with a unified scale—the target status data—for subsequent analysis. Then, based on the preprocessed target status data, a health assessment is performed on the equipment, such as using machine learning or data analysis algorithms, to identify potential faults or anomalies. For instance, based on trends in temperature and vibration data, equipment failures can be predicted in advance, avoiding sudden outages. Simultaneously, by combining infrared thermal imager data, localized overheating phenomena can be detected, providing strong support for equipment inspection and thus improving inspection efficiency.

[0106] During the processing and analysis of state data, relevant data such as preprocessed data, processed data, analyzed data, and abnormal data are obtained.

[0107] In one embodiment, preprocessing the state data to obtain the target state data includes:

[0108] The current device data is denoised to obtain the current denoised data; the current denoised data is imputed to obtain the current imputed data; the current imputed data is normalized to obtain the current normalized data; and the current normalized data is used as the target state data.

[0109] For example, denoising the current device data reduces random noise or irrelevant information, making the data more accurate and reliable. Techniques such as filters, smoothing methods, or wavelet transforms are typically used to denoise the raw data acquired by the device, removing parts that do not belong to the target information, thus obtaining a cleaner signal. Data gaps may occur due to equipment malfunctions, transmission problems, or acquisition errors. Common imputation methods include mean imputation, median imputation, interpolation, or machine learning-based imputation methods. These techniques fill in the gaps in the data, ensuring data integrity. Finally, the data is scaled to a standard range (e.g., [0,1] or [-1,1]) to eliminate the influence of different units and scales, i.e., normalization, thus obtaining the target state data.

[0110] In one exemplary embodiment, a method for verifying substation inspection results is provided, the method comprising the following steps:

[0111] Acquire the status data of substation equipment collected by sensors on the inspection equipment.

[0112] The current device data is denoised to obtain the current denoised data.

[0113] Perform missing data imputation on the current denoised data to obtain the imputed data.

[0114] Normalize the current filled data to obtain the current normalized data.

[0115] Use the current normalized data as the target state data.

[0116] The equipment inspection results of the substation equipment are determined based on the target status data.

[0117] When the equipment inspection results indicate that there is a fault in the substation equipment, the current current drift rate of the current sensor in the sensor is obtained.

[0118] If the current drift rate is less than or equal to the first drift rate, the accuracy analysis result is determined to be accurate for the equipment inspection result.

[0119] If the current drift rate is greater than the second drift rate, adjust the sampling frequency of the current sensor.

[0120] If the current drift rate is greater than the first drift rate and less than the second drift rate, and the communication signal-to-noise ratio (SNR) of the inspection equipment's communication signal is greater than the first preset SNR and less than the second preset SNR, then the size of the data packets transmitted between the inspection equipment and the computer equipment is adjusted. If the communication SNR of the inspection equipment's communication signal is less than the first preset SNR, then the environmental stability analysis result is determined based on the packet loss rate and preset packet loss rate of the data packets transmitted between the inspection equipment and the computer equipment. If the environmental stability analysis result does not meet the environmental stability conditions, then the retransmission interval of the data packets transmitted between the inspection equipment and the computer equipment is adjusted.

[0121] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0122] Based on the same inventive concept, this application also provides a substation inspection result verification device for implementing the substation inspection result verification method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more substation inspection result verification device embodiments provided below can be found in the limitations of the substation inspection result verification method described above, and will not be repeated here.

[0123] In one embodiment, such as Figure 3 As shown, a substation inspection result verification device is provided, including: a data acquisition module 302, a determination module 304, an acquisition module 306, and an analysis module 308, wherein:

[0124] The acquisition module 302 is used to acquire the status data of substation equipment collected by sensors.

[0125] The determination module 304 is used to determine the equipment inspection results of substation equipment based on status data.

[0126] The acquisition module 306 is used to acquire the current drift rate of the current sensor in the sensor when the equipment inspection results indicate that there is a fault in the substation equipment.

[0127] The analysis module 308 is used to analyze the accuracy of the equipment inspection results based on the preset drift rate threshold and the current current drift rate to obtain the accuracy analysis results.

[0128] In one embodiment, the analysis module 308 is further configured to determine that the accuracy analysis result is inaccurate when the current current drift rate is greater than the first drift rate; and to determine that the accuracy analysis result is accurate when the current current drift rate is less than or equal to the first drift rate.

[0129] In one embodiment, the analysis module 308 is further configured to, when the current drift rate is greater than the first drift rate and less than the second drift rate, adjust the size of the data packet transmitted between the inspection device and the computer device if the communication signal-to-noise ratio of the communication signal of the inspection device is greater than the first preset signal-to-noise ratio and less than the second preset signal-to-noise ratio; and adjust the sampling frequency of the current sensor if the current drift rate is greater than the second drift rate.

[0130] In one embodiment, the analysis module 308 is further configured to determine the environmental stability analysis result based on the packet loss rate of the data packets transmitted between the inspection equipment and the computer equipment and the preset packet loss rate if the communication signal-to-noise ratio of the communication signal of the inspection equipment is less than the first preset signal-to-noise ratio, and adjust the retransmission interval of the data packets transmitted between the inspection equipment and the computer equipment if the environmental stability analysis result does not meet the environmental stability conditions.

[0131] In one embodiment, the determining module 304 is further configured to preprocess the status data to obtain target status data; and determine the equipment inspection results of the substation equipment based on the target status data.

[0132] In one embodiment, the determining module 304 is further configured to perform noise reduction processing on the current device data to obtain current noise-reduced data; perform missing filling on the current noise-reduced data to obtain current filled data; perform normalization processing on the current filled data to obtain current normalized data; and use the current normalized data as target state data.

[0133] Each module in the aforementioned substation inspection result verification device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0134] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 4As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media. The database stores status data and equipment inspection results data collected by sensors from substation equipment. The I / O interfaces are used for information exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a substation inspection result verification method.

[0135] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0136] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0137] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0138] A computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0139] 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, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0140] Those skilled in the art will understand that all or part of the processes in 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. When executed, the computer program can include the processes of the embodiments described above. 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, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0141] 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.

[0142] 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 patent 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 method for verifying substation inspection results, characterized in that, The method includes: Acquire status data of substation equipment collected by sensors on the inspection equipment; The equipment inspection results of the substation equipment are determined based on the status data. If the equipment inspection results indicate that there is a fault in the substation equipment, the current current drift rate of the current sensor in the sensor is obtained; The accuracy of the equipment inspection results is analyzed based on the preset drift rate threshold and the current current drift rate to obtain the accuracy analysis results.

2. The method for verifying substation inspection results according to claim 1, characterized in that, The preset drift rate threshold includes a first drift rate; the accuracy analysis result obtained by analyzing the accuracy of the equipment inspection results based on the preset drift rate threshold and the current current drift rate includes: If the current current drift rate is greater than the first drift rate, the accuracy analysis result is determined to be that the equipment inspection result is inaccurate; If the current current drift rate is less than or equal to the first drift rate, the accuracy analysis result is determined to be accurate for the equipment inspection result.

3. The method for verifying substation inspection results according to claim 2, characterized in that, The preset drift rate threshold also includes a second drift rate, and the method further includes: If the current current drift rate is greater than the first drift rate and less than the second drift rate, and the communication signal-to-noise ratio of the inspection equipment's communication signal is greater than the first preset signal-to-noise ratio and less than the second preset signal-to-noise ratio, then the size of the data packet transmitted between the inspection equipment and the computer equipment is adjusted. If the current drift rate is greater than the second drift rate, the sampling frequency of the current sensor is adjusted.

4. The method for verifying substation inspection results according to claim 3, characterized in that, The method further includes: If the communication signal-to-noise ratio of the inspection equipment is less than the first preset signal-to-noise ratio, the environmental stability analysis result is determined based on the packet loss rate of the data packets transmitted between the inspection equipment and the computer equipment and the preset packet loss rate. If the environmental stability analysis result does not meet the environmental stability conditions, the retransmission interval of the data packets transmitted between the inspection equipment and the computer equipment is adjusted.

5. The method for verifying substation inspection results according to claim 1, characterized in that, Determining the equipment inspection results of the substation equipment based on the status data includes: The state data is preprocessed to obtain the target state data; The equipment inspection results of the substation equipment are determined based on the target status data.

6. The method for verifying substation inspection results according to claim 5, characterized in that, The step of preprocessing the state data to obtain the target state data includes: The current device data is denoised to obtain the current denoised data; The current denoised data is imputed to obtain the imputed data. The currently filled data is normalized to obtain the current normalized data; The current normalized data is used as the target state data.

7. A substation inspection result verification device, characterized in that, The device includes: The data acquisition module is used to acquire status data of substation equipment collected by sensors; The determination module is used to determine the equipment inspection results of the substation equipment based on the status data; The acquisition module is used to acquire the current drift rate of the current sensor in the sensor when the equipment inspection result indicates that there is a fault in the substation equipment; The analysis module is used to analyze the accuracy of the equipment inspection results based on a preset drift rate threshold and the current current drift rate to obtain an accuracy analysis result.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

Images