Method for detecting real oil level of transformer oil and related device

Abstract

The invention provides a transformer oil gas concentration abnormity identification method and a related device. The method comprises the following steps: acquiring first transformer oil monitoring data at a first moment; according to the first transformer oil monitoring data, determining a first transformer oil state at a first moment; if the first transformer oil state is an abnormal state, the transformer oil is subjected to exhaust treatment; acquiring second transformer oil monitoring data at a second moment after the transformer is subjected to oil exhaust treatment; according to the second transformer oil monitoring data, determining a second transformer oil state at a second moment; and if the second transformer oil state is an abnormal state, an ultrasonic detection method is adopted to carry out abnormity identification on the transformer oil gas to obtain an identification result of the transformer oil gas concentration abnormity, the transformer oil gas concentration abnormity can be detected in real time, workers are helped to find the transformer oil abnormity in time, and the transformer oil gas concentration abnormity detection efficiency is improved. And the operation safety of transformer equipment is improved.

Description

Technical Field

[0001] The present application relates to the technical field of transformer equipment, and in particular to a method for identifying abnormal transformer oil gas concentration and a related device. Background Art

[0002] In the operation of the power system, the transformer is one of the key equipment, and its operating status directly affects the stability and safety of the entire system. As an important component of the transformer, transformer oil not only plays the role of insulation and cooling, but also reflects the internal operating status of the transformer through changes in its chemical and physical properties. Therefore, real-time monitoring and abnormal identification of transformer oil are of great significance for preventing transformer failures and ensuring the safety of the power system.

[0003] Traditional transformer oil monitoring methods mainly rely on regular sampling and testing, which is not only time-consuming and labor-intensive, but also difficult to detect abnormal changes in the oil in a timely manner. Summary of the invention

[0004] The embodiment of the present application provides a method and related device for identifying abnormal gas concentration in transformer oil, which can monitor the gas concentration of the transformer in real time based on real-time transformer oil monitoring data in combination with an ultrasonic detection method, thereby detecting abnormalities in the gas concentration of the transformer oil in real time, helping staff to promptly discover abnormalities in the transformer oil and improving the safety of transformer equipment operation.

[0005] A first aspect of an embodiment of the present application provides a method for identifying abnormal transformer oil gas concentration, the method comprising:

[0006] Acquire the first transformer oil monitoring data at the first moment;

[0007] Confirming the oil state of the first transformer at a first moment according to the first transformer oil monitoring data;

[0008] If the state of the first transformer oil is abnormal, exhausting the transformer oil;

[0009] At a second moment after the transformer is subjected to oil exhaust treatment, obtaining oil monitoring data of the second transformer;

[0010] confirming the oil state of the second transformer at a second moment according to the oil monitoring data of the second transformer;

[0011] If the second transformer oil state is abnormal, an ultrasonic detection method is used to identify abnormal transformer oil gas to obtain an identification result of abnormal transformer oil gas concentration.

[0012] Further, confirming the first transformer oil state at the first moment according to the first transformer oil monitoring data includes:

[0013] De-noising the first transformer oil monitoring data to obtain de-noised first transformer oil monitoring data;

[0014] Extracting first oil temperature data and first oil humidity data from the first transformer oil monitoring data after noise reduction;

[0015] Comparing the first oil temperature data and the first oil humidity data with the corresponding preset oil temperature data and preset oil humidity data respectively to obtain a comparison result of the oil data at the first moment;

[0016] The oil state of the first transformer is confirmed according to the comparison result of the oil data at the first moment.

[0017] Further, the step of confirming the oil state of the first transformer according to the comparison result of the oil data at the first moment includes:

[0018] When the first condition is met, confirming that the transformer oil state at the first moment is normal, wherein the first condition is that if the absolute value of the difference between the first oil temperature data and the preset oil temperature data is not less than 5% and the absolute value of the difference between the first oil humidity data and the preset oil temperature data is not less than 5%;

[0019] When the first condition is not satisfied, it is confirmed that the transformer oil state at the first moment is an abnormal state.

[0020] Furthermore, the ultrasonic detection method is used to detect the transformer oil to obtain ultrasonic detection results, including:

[0021] Using an ultrasonic sensor to perform ultrasonic detection on transformer oil to obtain a first detection signal;

[0022] filtering the first detection signal to obtain a second detection signal;

[0023] Performing data amplification processing and A / D signal conversion processing on the second detection signal to obtain a third detection signal;

[0024] Comparing the third detection signal with a preset transformer index to obtain an oil reflection signal comparison result;

[0025] The ultrasonic detection result is determined according to the comparison result of the oil reflection signal.

[0026] Furthermore, determining the ultrasonic detection result according to the comparison result of the oil reflection signal includes:

[0027] If the comparison result of the oil reflection signal is that the oil reflection signal data is greater than the preset transformer index, it is confirmed that the recognition result of the abnormal transformer oil gas concentration is a partial discharge state;

[0028] If the comparison result of the oil reflection signal is that the oil reflection signal data is less than or equal to the preset transformer index, the identification result of the abnormal transformer oil gas concentration is confirmed to be an oil contamination state.

[0029] In this example, the transformer oil monitoring data of the first moment is first obtained. After confirming that the oil state of the transformer at the first moment is abnormal, the transformer oil exhaust device is controlled to exhaust the transformer oil. At this time, the transformer oil monitoring data of the second moment is monitored to further confirm the state of the transformer oil. When the state of the transformer oil at the second moment is still abnormal, the ultrasonic detection method is used to perform a final detection on the transformer oil to obtain an identification result of the abnormal transformer oil gas concentration. The gas concentration of the transformer can be monitored in real time based on the real-time transformer oil monitoring data combined with the ultrasonic detection method, so as to timely detect the abnormal transformer oil gas concentration and improve the safety of transformer equipment operation.

[0030] A second aspect of an embodiment of the present application provides a device for identifying abnormality of gas concentration in transformer oil, the device comprising:

[0031] A first acquisition unit, used to acquire first transformer oil monitoring data at a first moment;

[0032] A first processing unit, configured to confirm a first transformer oil state at a first moment according to the first transformer oil monitoring data;

[0033] A second processing unit is used to perform exhaust treatment on the transformer oil if the state of the first transformer oil is abnormal;

[0034] A second acquisition unit is used to acquire the oil monitoring data of the second transformer at a second moment after the transformer is subjected to oil exhaust treatment;

[0035] A third processing unit, configured to confirm the oil state of the second transformer at a second moment according to the oil monitoring data of the second transformer;

[0036] The fourth processing unit is used to, if the state of the second transformer oil is abnormal, use an ultrasonic detection method to identify abnormal transformer oil gas to obtain an identification result of abnormal transformer oil gas concentration.

[0037] Further, in the aspect of confirming the first transformer oil state at the first moment according to the first transformer oil monitoring data, the first processing unit is used to:

[0038] De-noising the first transformer oil monitoring data to obtain de-noised first transformer oil monitoring data;

[0039] Extracting first oil temperature data and first oil humidity data from the first transformer oil monitoring data after noise reduction;

[0040] Comparing the first oil temperature data and the first oil humidity data with the corresponding preset oil temperature data and preset oil humidity data respectively to obtain a comparison result of the oil data at the first moment;

[0041] The oil state of the first transformer is confirmed according to the comparison result of the oil data at the first moment.

[0042] Further, in confirming the oil state of the first transformer according to the comparison result of the oil data at the first moment, the first processing unit is used to:

[0043] When the first condition is met, confirming that the transformer oil state at the first moment is normal, wherein the first condition is that if the absolute value of the difference between the first oil temperature data and the preset oil temperature data is not less than 5% and the absolute value of the difference between the first oil humidity data and the preset oil temperature data is not less than 5%;

[0044] When the first condition is not satisfied, it is confirmed that the transformer oil state at the first moment is an abnormal state.

[0045] Further, in the aspect of using an ultrasonic detection method to identify abnormal transformer oil gas if the second transformer oil state is abnormal, and obtaining an identification result of abnormal transformer oil gas concentration, the fourth processing unit is used to:

[0046] Using an ultrasonic sensor to perform ultrasonic detection on transformer oil to obtain a first detection signal;

[0047] filtering the first detection signal to obtain a second detection signal;

[0048] Performing data amplification processing and A / D signal conversion processing on the second detection signal to obtain a third detection signal;

[0049] Comparing the third detection signal with a preset transformer index to obtain an oil data comparison result at the second moment;

[0050] According to the comparison result of the oil data at the second moment, an identification result of abnormal oil gas concentration in the oil transformer is obtained.

[0051] Further, in the aspect of obtaining the recognition result of abnormal oil gas concentration of the oil transformer according to the comparison result of the oil data at the second moment, the fourth processing unit is used to:

[0052] If the comparison result of the oil data at the second moment is that the third detection signal is greater than the preset transformer index, it is confirmed that the recognition result of the abnormal transformer oil gas concentration is a partial discharge state;

[0053] If the comparison result of the oil data at the second moment is that the third detection signal is less than or equal to the preset transformer index, the identification result of the abnormal transformer oil gas concentration is confirmed to be an oil contamination state.

[0054] A third aspect of an embodiment of the present application provides a terminal, comprising a processor, an input device, an output device and a memory, wherein the processor, input device, output device and memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the step instructions in the first aspect of the embodiment of the present application.

[0055] The fourth aspect of the embodiments of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps described in the method for identifying abnormal transformer oil gas concentration in the first aspect of the embodiments of the present application.

[0056] A fifth aspect of the embodiments of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in the method for identifying abnormal transformer oil gas concentration in the first aspect of the embodiments of the present application. The computer program product may be a software installation package. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0058] Figure 1 A schematic diagram of the overall process of a method for identifying abnormal transformer oil gas concentration is provided for an embodiment of the present application;

[0059] Figure 2A schematic diagram of the structure of a device for identifying abnormal oil gas concentration in a transformer is provided for an embodiment of the present application;

[0060] Figure 3 A schematic diagram of the structure of a terminal provided in an embodiment of the present application;

[0061] Reference numerals:

[0062] First acquisition unit-1, first processing unit-2, second processing unit-3, second acquisition unit-4, third processing unit-5, fourth processing unit-6. DETAILED DESCRIPTION

[0063] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0064] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0065] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments.

[0066] In order to better understand a business product determination method provided by an embodiment of the present application, the following first briefly introduces the scenario of applying the method for identifying abnormal transformer oil gas concentration. In transformer oil monitoring, abnormal changes in oil temperature, humidity and gas content often indicate that there are faults or potential risks inside the transformer. For example, excessively high oil temperature may cause aging of the insulating material, excessive humidity may cause a decrease in insulation performance, and abnormal gas content may reflect discharge or overheating inside the transformer. However, existing transformer oil monitoring methods mainly rely on regular sampling and testing, and are unable to detect abnormalities in transformer oil in a timely manner. Before the next regular sampling and testing, the abnormality in transformer oil may have caused the transformer equipment to fail to work properly, affecting production efficiency and low safety.

[0067] The method for identifying abnormal transformer oil gas concentration is applied to an abnormal transformer oil gas concentration identification device. Figure 1 A schematic diagram of the overall process of a method for identifying abnormal transformer oil gas concentration is shown.

[0068] like Figure 1 As shown, including:

[0069] S1. Acquire first transformer oil monitoring data at a first moment, where the transformer oil monitoring data includes oil temperature data, oil humidity data, and oil gas content data.

[0070] S2. Confirming the oil state of the first transformer at a first moment according to the first transformer oil monitoring data, specifically including:

[0071] S201. Reduce noise on the first transformer oil monitoring data to obtain the first transformer oil monitoring data after noise reduction.

[0072] S202: extracting first oil temperature data and first oil humidity data from the first transformer oil monitoring data after noise reduction.

[0073] S203 , respectively comparing the first oil temperature data and the first oil humidity data with the corresponding preset oil temperature data and preset oil humidity data to obtain a comparison result of the oil data at the first moment.

[0074] S204, confirming the oil state of the first transformer according to the comparison result of the oil data at the first moment, specifically including:

[0075] S204A, when the first condition is met, confirm that the transformer oil state at the first moment is normal. The first condition is that the absolute value of the difference between the first oil temperature data and the preset oil temperature data is not less than 5% and the absolute value of the difference between the first oil humidity data and the preset oil temperature data is not less than 5%. When it is confirmed that the transformer oil state is normal, the process ends, indicating that the oil gas concentration of the transformer is at a normal level and there is no problem.

[0076] S204B: When the first condition is not met, confirm that the transformer oil state at the first moment is abnormal. When the transformer oil state is confirmed to be abnormal, it is necessary to troubleshoot the transformer oil, identify the cause of the abnormal transformer oil concentration, and proceed to step S3.

[0077] S3. If the oil state of the first transformer is abnormal, control the transformer oil exhaust device to exhaust the transformer oil. By controlling the oil exhaust device to perform exhaust operation, abnormal monitoring data caused by gas accumulation can be eliminated, thereby avoiding false alarms or missed alarms, so as to ensure that the monitoring data obtained subsequently is more accurate and reliable.

[0078] S4. At a second moment after the transformer is subjected to oil exhaust treatment, the oil monitoring data of the second transformer is obtained.

[0079] S5. Confirming the oil state of the second transformer at the second moment according to the oil monitoring data of the second transformer, specifically including:

[0080] S501. Reduce noise on the second transformer oil monitoring data to obtain the second transformer oil monitoring data after noise reduction.

[0081] S502: extracting second oil temperature data and second oil humidity data from the second transformer oil monitoring data after noise reduction.

[0082] S503 , respectively comparing the second oil temperature data and the second oil humidity data with the corresponding preset oil temperature data and preset oil humidity data to obtain a comparison result of the oil data at the second moment.

[0083] S504: confirming the oil state of the second transformer according to the comparison result of the oil data at the second moment, specifically including:

[0084] S504A, when the second condition is met, confirm that the transformer oil state at the second moment is normal. The second condition is the same as the step in step S204A. When it is confirmed that the transformer oil state is normal, the process ends, indicating that the transformer oil gas has eliminated the abnormal monitoring data false alarm caused by gas accumulation, and the transformer oil gas concentration is normal.

[0085] S504B: When the first condition is not met, confirm that the transformer oil state at the second moment is abnormal, which means that after eliminating the abnormal false alarm, there is indeed a problem with the transformer gas concentration, so proceed to step S6.

[0086] S6. If the state of the second transformer oil is abnormal, an ultrasonic detection method is used to identify the abnormality of the transformer oil gas to obtain an identification result of the abnormal concentration of the transformer oil gas, specifically including:

[0087] S601. Use an ultrasonic sensor to perform ultrasonic detection on transformer oil to obtain a first detection signal, where the first detection signal can reflect status information of the oil.

[0088] S602: Filter the first detection signal to obtain a second detection signal. Since the oil reflection signal data may contain noise and interference signals, filtering is required. Filtering can remove noise and interference signals, improve the signal-to-noise ratio of the signal, and thus more accurately reflect the oil state.

[0089] S603. Perform data amplification and A / D signal conversion on the second detection signal to obtain a third detection signal. Since the amplitude of the oil reflection signal is small, data amplification is required to increase the amplitude of the signal so that it can be more easily recognized and processed by subsequent processing equipment. In addition, converting the amplified analog signal into a digital signal can have higher accuracy and stability.

[0090] S604: Compare the third detection signal with a preset transformer index to obtain an oil data comparison result at the second moment.

[0091] S605: Obtain an identification result of abnormal oil gas concentration in the oil transformer according to the oil data comparison result at the second moment. Specifically, the method includes:

[0092] S605A: If the comparison result of the oil data at the second moment is that the third detection signal is greater than the preset transformer index, the identification result of the abnormal gas concentration of the transformer oil is confirmed to be a partial discharge state, indicating that there may be a partial discharge phenomenon in the transformer oil, which is a common manifestation of transformer failure. Therefore, confirming the identification result as a partial discharge state helps the operation and maintenance personnel to take corresponding measures in time to prevent the occurrence of transformer failure.

[0093] S605B. If the comparison result of the oil data at the second moment is that the third detection signal is less than or equal to the preset transformer index, it is confirmed that the identification result of the abnormal gas concentration in the transformer oil is an oil contamination state, indicating that the abnormal gas concentration in the transformer oil is not caused by partial discharge, but by other reasons such as oil contamination state.

[0094] In this example, the transformer oil monitoring data of the first moment is first obtained. After confirming that the oil state of the transformer at the first moment is abnormal, the transformer oil exhaust device is controlled to exhaust the transformer oil. At this time, the transformer oil monitoring data of the second moment is monitored to further confirm the state of the transformer oil. When the state of the transformer oil at the second moment is still abnormal, the ultrasonic detection method is used to perform a final detection on the transformer oil to obtain an identification result of the abnormal transformer oil gas concentration. The gas concentration of the transformer can be monitored in real time based on the real-time transformer oil monitoring data combined with the ultrasonic detection method, so as to timely detect the abnormal transformer oil gas concentration and improve the safety of transformer equipment operation.

[0095] In line with the above, see Figure 2 , Figure 2 The present invention provides a schematic diagram of a transformer oil gas concentration abnormality identification device. Figure 2 As shown, the device comprises:

[0096] A first acquisition unit 1, used to acquire transformer oil monitoring data at a first moment;

[0097] A first processing unit 2, configured to confirm the transformer oil state at the first moment according to the transformer oil monitoring data at the first moment;

[0098] The second processing unit 3 is used to control the transformer oil exhaust device to exhaust the transformer oil if the transformer oil state at the first moment is abnormal;

[0099] A second acquisition unit 4 is used to acquire transformer oil monitoring data at a second moment after the transformer oil is exhausted;

[0100] The third processing unit 5 is used to confirm the transformer oil state at the second moment according to the transformer oil monitoring data at the second moment;

[0101] The fourth processing unit 6 is used to, if the state of the second transformer oil is abnormal, use ultrasonic detection to identify abnormal transformer oil gas to obtain an identification result of abnormal transformer oil gas concentration.

[0102] In this example, the transformer oil monitoring data of the first moment is first obtained. After confirming that the oil state of the transformer at the first moment is abnormal, the transformer oil exhaust device is controlled to exhaust the transformer oil. At this time, the transformer oil monitoring data of the second moment is monitored to further confirm the state of the transformer oil. When the state of the transformer oil at the second moment is still abnormal, the ultrasonic detection method is used to perform a final detection on the transformer oil to obtain an identification result of the abnormal transformer oil gas concentration. The gas concentration of the transformer can be monitored in real time based on the real-time transformer oil monitoring data combined with the ultrasonic detection method, so as to timely detect the abnormal transformer oil gas concentration and improve the safety of transformer equipment operation.

[0103] In a possible implementation, in the aspect of confirming the first transformer oil state at a first moment according to the first transformer oil monitoring data, the first processing unit 1 is used to:

[0104] De-noising the first transformer oil monitoring data to obtain de-noised first transformer oil monitoring data;

[0105] Extracting first oil temperature data and first oil humidity data from the first transformer oil monitoring data after noise reduction;

[0106] Comparing the first oil temperature data and the first oil humidity data with the corresponding preset oil temperature data and preset oil humidity data respectively to obtain a comparison result of the oil data at the first moment;

[0107] The oil state of the first transformer is confirmed according to the comparison result of the oil data at the first moment.

[0108] In a possible implementation, in confirming the transformer oil state at the first moment according to the transformer oil monitoring data at the first moment, the first processing unit 1 is used to:

[0109] When the first condition is met, it is confirmed that the transformer oil state at the first moment is normal, wherein the first condition is that the absolute value of the difference between the first oil temperature data and the preset oil temperature data is not less than 5% and the absolute value of the difference between the first oil humidity data and the preset oil temperature data is not less than 5%.

[0110] When the first condition is not satisfied, it is confirmed that the transformer oil state at the first moment is an abnormal state.

[0111] In a possible implementation, in the aspect of using an ultrasonic detection method to identify abnormal transformer oil gas if the second transformer oil state is abnormal, and obtaining an identification result of abnormal transformer oil gas concentration, the fourth processing unit 6 is used to:

[0112] Using an ultrasonic sensor to perform ultrasonic detection on transformer oil to obtain a first detection signal;

[0113] filtering the first detection signal to obtain a second detection signal;

[0114] Performing data amplification processing and A / D signal conversion processing on the second detection signal to obtain a third detection signal;

[0115] Comparing the third detection signal with a preset transformer index to obtain an oil data comparison result at the second moment;

[0116] According to the comparison result of the oil data at the second moment, an identification result of abnormal oil gas concentration in the oil transformer is obtained.

[0117] In a possible implementation, in the aspect of obtaining the recognition result of abnormal oil gas concentration of the oil transformer according to the oil data comparison result at the second moment, the fourth processing unit 6 is used to:

[0118] If the comparison result of the oil data at the second moment is that the third detection signal is greater than the preset transformer index, it is confirmed that the recognition result of the abnormal transformer oil gas concentration is a partial discharge state;

[0119] If the comparison result of the oil data at the second moment is that the third detection signal is less than or equal to the preset transformer index, the identification result of the abnormal transformer oil gas concentration is confirmed to be an oil contamination state.

[0120] For the above embodiments, please refer to Figure 3 , Figure 3 A schematic diagram of the structure of a terminal provided in an embodiment of the present application, as shown in the figure, includes a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the program includes instructions for executing the following steps;

[0121] Acquire the first transformer oil monitoring data at the first moment;

[0122] Confirming the oil state of the first transformer at a first moment according to the first transformer oil monitoring data;

[0123] If the state of the first transformer oil is abnormal, exhausting the transformer oil;

[0124] At a second moment after the transformer is subjected to oil exhaust treatment, obtaining oil monitoring data of the second transformer;

[0125] confirming the oil state of the second transformer at a second moment according to the oil monitoring data of the second transformer;

[0126] If the second transformer oil state is abnormal, an ultrasonic detection method is used to identify abnormal transformer oil gas to obtain an identification result of abnormal transformer oil gas concentration.

[0127] In this example, by first obtaining the transformer oil monitoring data at the first moment, after confirming that the oil state of the transformer at the first moment is abnormal, the transformer oil exhaust device is controlled to exhaust the transformer oil. At this time, the transformer oil monitoring data at the second moment is monitored to further confirm the state of the transformer oil. When the state of the transformer oil at the second moment is still abnormal, the ultrasonic detection method is used to perform a final detection on the transformer oil to obtain an identification result of the abnormal transformer oil gas concentration. The gas concentration of the transformer can be monitored in real time based on the real-time transformer oil monitoring data combined with the ultrasonic detection method, so as to detect the abnormal transformer oil gas concentration in real time, help the staff to promptly discover the abnormality of the transformer oil, and improve the safety of the transformer equipment operation.

[0128] The above mainly introduces the scheme of the embodiment of the present application from the perspective of the execution process on the method side. It is understandable that in order to realize the above functions, the terminal includes a hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0129] The embodiment of the present application can divide the terminal into functional units according to the above method example. For example, each functional unit can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0130] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any method for identifying abnormal transformer oil gas concentration as recorded in the above method embodiments.

[0131] An embodiment of the present application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program enables a computer to execute part or all of the steps of any method for identifying abnormal transformer oil gas concentration as recorded in the above method embodiments.

[0132] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0133] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0134] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be electrical or other forms.

[0135] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0136] In addition, the functional units in the various embodiments of the application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware or in the form of software program modules.

[0137] If the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program codes.

[0138] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, which can include: a flash drive, a read-only memory, a random access memory, a magnetic disk or an optical disk, etc.

[0139] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for detecting the true oil level of transformer oil, characterized in that: include: Obtain transformer oil monitoring data and transformer parameter data; Determine a first oil pressure and a second oil pressure according to the transformer oil monitoring data, wherein the first oil pressure and the second oil pressure are respectively the oil pressure at a first position and the oil pressure at a second position set at a preset height difference below the oil drain pipe of the oil conservator; The actual oil level of the transformer oil is calculated according to the first oil pressure, the second oil pressure and transformer parameter data.

2. The transformer oil true oil level detection method according to claim 1, characterized in that: include: Determining the first oil pressure and the second oil pressure according to the transformer oil monitoring data includes: using an electronic oil level gauge to measure the oil pressure at the first position and the oil pressure at the second position to determine the first oil pressure and the second oil pressure.

3. The transformer oil true oil level detection method according to claim 1, characterized in that: include: The step of calculating the transformer oil real level according to the first oil pressure, the second oil pressure and the transformer parameter data comprises: Extracting the length of the oil drain pipe of the transformer oil storage cabinet, the first oil height corresponding to the first oil pressure, and the second oil height corresponding to the second oil pressure from the transformer parameter data; Calculating a first height difference between the first oil height and the second oil height according to the first oil height and the second oil height; A second height difference from the first oil height to the oil level is calculated based on the first height difference, the first oil pressure, and the second oil pressure; The actual oil level of the transformer oil is calculated based on the second height difference and the length of the oil drain pipe of the transformer oil conservator.

4. The transformer oil true oil level detection method according to claim 3 is characterized in that: The calculation formula of the second height difference is as follows: h1=P1 / (P2-P1)*h3 Among them, h1 is the second height difference, h3 is the first height difference, P1 is the first oil pressure, and P2 is the second oil pressure.

5. The transformer oil true oil level detection method according to claim 1, characterized in that: Also includes: Extracting transformer monitoring oil level from the transformer oil monitoring data; Comparing the transformer monitored oil level with the transformer oil actual oil level to obtain an oil level monitoring data comparison result; If the comparison result of the oil level monitoring data is inconsistent, a transformer oil level monitor failure alarm is issued; If the comparison result of the oil level monitoring data is consistent, the transformer oil level monitor fault alarm is stopped.

6. A transformer oil true oil level detection device, characterized in that: The device comprises: An acquisition unit, used for acquiring transformer oil monitoring data and transformer parameter data; a first processing unit, configured to determine a first oil pressure and a second oil pressure according to the transformer oil monitoring data, wherein the first oil pressure and the second oil pressure are respectively the oil pressure at a first position and the oil pressure at a second position set at a preset height difference below the oil drain pipe of the oil conservator; The second processing unit is used to calculate the real oil level of the transformer oil according to the first oil pressure, the second oil pressure and the transformer parameter data.

7. The transformer oil true oil level detection device according to claim 6, characterized in that: In the aspect of calculating the real oil level of the transformer oil according to the first oil pressure, the second oil pressure and the transformer parameter data, the second processing unit is used for: Extracting the length of the oil drain pipe of the transformer oil storage cabinet, the first oil height corresponding to the first oil pressure, and the second oil height corresponding to the second oil pressure from the transformer parameter data; Calculating a first height difference between the first oil height and the second oil height according to the first oil height and the second oil height; A second height difference from the first oil height to the oil level is calculated based on the first height difference, the first oil pressure, and the second oil pressure; The actual oil level of the transformer oil is calculated based on the second height difference and the length of the oil drain pipe of the transformer oil conservator.

8. The transformer oil true oil level detection device according to claim 7, characterized in that: In the aspect of calculating the second height difference from the first oil height to the oil level according to the first height difference, the first oil pressure and the second oil pressure, the calculation formula of the second height difference is as follows: h1=P1 / (P2-P1)*h3 Among them, h1 is the second height difference, h3 is the first height difference, P1 is the first oil pressure, and P2 is the second oil pressure.

9. A terminal, characterized in that: The invention comprises a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the transformer oil true oil level detection method according to any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the processor executes the transformer oil true oil level detection method according to any one of claims 1 to 5.

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