Online detection system and method for oil leakage of transformer

Abstract

The invention provides an on-line detection system and method for oil leakage of a transformer, and the method comprises the steps: an oil pressure detection module detects the oil pressure of the transformer, and transmits the oil pressure data to a microprocessor for processing; the microprocessor converts the oil pressure of the transformer into the oil level of the oil conservator, and when the oil level of the oil conservator is lower than the oil level at the lowest oil temperature all the year round, an over-low oil level alarm is given; the temperature detection module is used for detecting the oil temperature of the transformer and sending oil temperature data to the microprocessor for processing; the microprocessor records an oil level-temperature curve of the transformer, calculates the theoretical oil level h2 of the oil conservator through the oil temperature detected by the temperature detection module, compares the theoretical oil level h2 with the oil level h1 of the oil conservator calculated through the pressure detected by the oil pressure detection module, and gives out an over-low or over-high oil level alarm when the deviation is too large.

Description

Technical Field

[0001] The invention belongs to the field of transformers, and in particular relates to an online detection system and method for transformer oil leakage. Background Art

[0002] Transformer oil leakage is inevitable. At present, in the use of power transformers, the phenomenon of oil leakage can only be solved by manual inspection. This detection method not only wastes manpower, but also has great uncertainty and instability in discovering transformer oil leakage. If the transformer oil leakage is not discovered in time, the insulation level of the transformer will decrease after the oil leakage, resulting in breakdown damage, causing accidents, directly affecting power production and endangering personal safety.

[0003] At the same time, when the transformer leaks too much oil, it will trigger the nitrogen filling fire extinguishing cut-off valve to operate, resulting in abnormal pressure in the transformer body and further leading to serious transformer failure. Summary of the invention

[0004] In order to solve the deficiencies in the prior art, the present invention provides an online detection system and method for transformer oil leakage.

[0005] The present invention adopts the following technical solution.

[0006] The present invention provides an online detection system for transformer oil leakage, comprising:

[0007] The oil pressure detection module includes a pressure sensor, a pressure collector and a pressure display control unit, which is used to detect the oil pressure change of the transformer in real time;

[0008] Temperature detection module, used to detect transformer temperature changes in real time;

[0009] Alarm module, used for transformer fault alarm;

[0010] Communication module, used for information transmission;

[0011] Liquid level detection module, used to detect the oil level in the oil storage tank;

[0012] The microprocessor is used to receive and process the transformer oil pressure information and oil temperature information.

[0013] Preferably, the oil pressure detection module includes a pressure sensor and a pressure collector, the detection end of the pressure sensor is installed in the oil tank, and the pressure display control unit is installed outside the oil tank and connected to the pressure sensor for displaying the oil pressure measured by the pressure sensor.

[0014] Preferably, the temperature detection module further includes:

[0015] Dual oil temperature detection is set up. One temperature detection module is set inside the oil tank, and the other temperature detection module is set on the surface of the oil tank. The temperature difference at the two points is compared in real time, and a temperature comparison curve is drawn. The device compares the internal temperature change curve according to the change trend of the external temperature on the oil tank surface to predict the oil temperature attenuation.

[0016] Preferably, the system structure further includes:

[0017] A collection box is arranged below the transformer, and a liquid level detection module is arranged on the collection box to detect the liquid level data in the collection box in real time. At the same time, the liquid level detection module is connected to the microprocessor via wired or wireless connection, and the microprocessor realizes alarm and data upload according to the liquid level data.

[0018] Preferably, the system structure further includes:

[0019] A one-way oil inlet device is arranged on the top of the collection box, and two inclined plates are arranged opposite to each other. The inclined plates are installed on the top of the collection box through torsion springs, so that the transformer oil opens the inclined plates and flows into the collection box. The inclined plates are reset by the torsion springs to close the top of the collection box.

[0020] The present invention also provides an online detection method for transformer oil leakage, which is a method for using the above-mentioned online detection system for transformer oil leakage, and is characterized by comprising:

[0021] The oil pressure detection module detects the oil pressure of the transformer and sends the oil pressure data to the microprocessor for processing;

[0022] The microprocessor converts the transformer oil pressure into the oil level of the oil conservator. When the oil level of the oil conservator is lower than the oil level at the lowest oil temperature throughout the year, an oil level low alarm is issued;

[0023] The temperature detection module detects the transformer oil temperature and sends the oil temperature data to the microprocessor for processing;

[0024] The microprocessor records the oil level-temperature curve of the transformer, calculates the theoretical oil level h2 of the oil conservator through the oil temperature detected by the temperature detection module, and compares it with the oil level h1 of the oil conservator calculated by the pressure detected by the oil pressure detection module. If the deviation is too large, an oil level alarm will be issued.

[0025] Preferably, the transformer oil leakage online detection method further comprises:

[0026] The microprocessor detects the transformer oil temperature through the temperature detection module. When the oil temperature decreases at a rate significantly lower than the oil level decreases, an oil leakage alarm is issued.

[0027] Preferably, the transformer oil leakage online detection method further comprises:

[0028] According to the relationship between oil temperature and oil volume, an oil pressure-oil level conversion model for oil conservator is built. By substituting the oil pressure into the oil pressure-oil level conversion model for oil conservator, the oil level of the oil conservator can be directly obtained. When the oil level exceeds the safe position, the alarm module flashes.

[0029] The present invention also provides a terminal, including a processor and a storage medium;

[0030] The storage medium is used to store instructions;

[0031] The processor is configured to operate according to the instructions to execute the steps according to the aforementioned method.

[0032] The present invention also provides a computer-readable storage medium on which a computer program is stored, characterized in that the program implements the steps of the above method when executed by a processor.

[0033] The beneficial effect of the present invention is that, compared with the prior art,

[0034] 1. Realize real-time detection of transformer oil pressure and oil temperature, real-time display, calculation, judgment and storage, identify transformer oil level status, and set alarm limits according to user needs. When the measurement results exceed the alarm limit, an alarm will be issued to reduce the workload of manual inspections and further reduce the accident rate of transformers.

[0035] 2. Use high-precision sensors to meet the needs of accurate measurement of oil pressure and oil temperature.

[0036] 3. Meet the calculation requirements of online detection device to calculate oil level and compare data, and be able to send out alarm signals according to functional requirements.

[0037] 4. The device detects oil pressure and oil temperature at the same time, and provides comprehensive auxiliary judgment. It has the function of identifying abnormal increase or decrease in transformer oil pressure caused by blockage of the breather.

[0038] 5. It can collect transformer oil and reuse it, which reduces costs and is environmentally friendly. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a structural schematic diagram of an online detection system for transformer oil leakage in the present invention;

[0040] Figure 2 A schematic diagram of a one-way oil inlet structure in an online detection system for transformer oil leakage in the present invention;

[0041] Figure 3 It is a schematic diagram of the overall structure of an online detection system for transformer oil leakage in the present invention;

[0042] Figure 4 The present invention is a schematic flow chart of an online detection method for transformer oil leakage. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only part of the embodiments of the present invention, not all of them. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0044] like Figure 1 , 3 As shown, embodiment 1 of the present invention provides an online detection system for transformer oil leakage, comprising:

[0045] Set up an oil pressure detection module to detect transformer oil pressure changes in real time.

[0046] The oil pressure detection module includes a pressure sensor and a pressure collector. The detection end of the pressure sensor is installed in the oil tank, and the pressure display control unit is installed outside the oil tank and connected to the pressure sensor to display the oil pressure measured by the pressure sensor. In order to facilitate the collection of information results, the pressure sensor is provided with an expansion port outside the oil tank, through which the external device is connected to transmit the current oil pressure measurement value in real time.

[0047] Changing the traditional acquisition method to realize digital display, and all acquisition components use the most common ones on the market, which does not increase the overall cost much. In the period of full coverage of big data, an expansion port is also set up to facilitate the subsequent signal collection. When connecting directly to the expansion port, long-distance transmission can be achieved. Only by updating the infrastructure coverage can the development of the big data era be accelerated.

[0048] A temperature detection module is provided to detect the temperature change of the transformer in real time. The temperature detection module may adopt a temperature sensor.

[0049] Dual oil temperature detection is set up, one is set inside the oil tank, and the other is set on the surface of the oil tank. The temperature difference at the two points is compared in real time, and a temperature comparison curve is drawn. The device compares the changing curve of the internal temperature according to the changing trend of the external temperature on the surface of the oil tank. It can predict the oil temperature attenuation and then infer the actual oil temperature. The actual temperature is predicted when the temperature detection module is in non-contact with the oil, and the oil temperature can be accurately detected. The temperature detection module can also be isolated and protected, so that the temperature detection module is not easily affected by long-term immersion in oil and high oil temperature, thereby ensuring the detection performance of the temperature detection module and further ensuring the accuracy of the oil temperature detection results.

[0050] The microprocessor, oil pressure detection module and temperature detection module are integrated and installed on the transformer. The oil pressure detection module can detect the oil pressure change of the transformer alone. The oil pressure detection module and the temperature detection module measure the oil temperature and oil pressure of the transformer oil tank respectively, and then input the measured signals to the microprocessor respectively. The microprocessor can obtain the measured signals, realize the synchronous collection and real-time detection of oil temperature and oil pressure, and provide an effective means for analyzing the relationship between oil leakage and oil temperature and oil pressure.

[0051] The multi-channel interface designed by the microprocessor can directly connect to the transformer oil temperature meter and the temperature detection module configured in the device, and realize comprehensive analysis of multiple measuring points in combination with the transformer oil temperature meter data.

[0052] An alarm module and a communication module are set up. The microprocessor alarms through the alarm module or uploads to the server through the communication module. The alarm module can be a light, a buzzer, etc., and the communication module can be Bluetooth, CAN bus, 4G, 5G, etc.

[0053] The device uses high-precision sensors to collect data such as oil temperature and oil pressure at the same time, and uses digital signal processing (DSP), neural networks, wavelet transforms and other technologies to filter and amplify the data, which can effectively reduce the interference error caused by environmental factors (such as temperature, humidity, vibration, etc.) on pressure measurement and improve accuracy. The data is uploaded to the host computer through the communication module. The host computer uses interpolation to fill missing values ​​and Z-Score to identify and remove abnormal values. The original data may contain noise, abnormal values ​​and missing values ​​for data cleaning. The host computer classifies and sequences various types of sensor data, and uses FineBI, Tableau and other methods to convert the cleaned data into charts and graphs (time curves, temperature change curves, pressure change curves, etc.) for data visualization, and stores the data for convenient historical data query. Through data visualization, combined with routine tests or maintenance, the patterns and abnormal points of pressure and temperature changes can be quickly identified, faults can be predicted and certain measures can be taken to avoid them, ensuring the normal operation of the transformer.

[0054] In addition, data information can be communicated through the 4G / 5G network using the TCP / IP protocol, where the TCP protocol is used to segment and package data and transmit it in the form of a data stream to ensure the accuracy, continuity and bidirectionality of data transmission. After uploading to the cloud server, users can query the transformer working data information through a remote mobile phone or PC; at the same time, users can also use the remote terminal to remotely control the microprocessor, and the transmission delay of the control signal is kept within 100ms, realizing on-site alarm of the control alarm module and remote control of the device.

[0055] The microprocessor detects the transformer oil pressure through the oil pressure detection module and calculates and converts it into the oil level of the oil conservator. When the oil level of the oil conservator is lower than (or close to) the oil level at the lowest oil temperature of the year, a low oil level alarm is issued.

[0056] The relationship between the transformer oil pressure and the oil level of the oil conservator is mainly reflected in the fact that changes in oil pressure will affect changes in the oil level in the oil conservator. Changes in transformer oil pressure are mainly caused by changes in the volume of oil inside the transformer. When the oil temperature inside the transformer rises, the oil volume expands, resulting in an increase in oil pressure, and the oil will flow to the oil conservator; conversely, when the oil temperature drops, the oil volume shrinks, the oil pressure decreases, and the oil will flow back from the oil conservator to the inside of the transformer. According to the above change relationship, an oil pressure-oil conservator oil level conversion model is constructed. Substituting the oil pressure into the oil pressure-oil conservator oil level conversion model can directly obtain the oil level of the oil conservator, reducing the difficulty of detecting the oil level of the oil conservator. At the same time, for the oil level of the oil conservator, because the oil level of the transformer oil conservator is too high or too low, there are safety hazards. The alarm module mainly flashes the alarm when the liquid level exceeds the safe position.

[0057] The microprocessor detects the transformer oil temperature through the temperature detection module. When the oil temperature decreases at a rate significantly lower than the oil level decreases, an oil leakage alarm is issued.

[0058] The microprocessor records the oil level-temperature curve of the transformer (fitting the points into a straight line, or linear interpolation), calculates the theoretical oil level h2 of the oil conservator through the oil temperature detected by the temperature detection module, and compares it with the oil level h1 of the oil conservator calculated by the oil pressure detection module. When the deviation is too large, an alarm for too low or too high oil level is issued. The microprocessor can analyze and process historical data and the oil level-temperature curve. Based on the analysis of historical data and current data, the cause of oil leakage and the solution can be predicted. In this way, the frequency of oil leakage will continue to decrease as the detection device is used.

[0059] like Figure 2 As shown, a collection box is arranged below the transformer, and a liquid level detection module is arranged on the collection box to detect the liquid level data in the collection box in real time. At the same time, the liquid level detection module is connected to the microprocessor via wired or wireless connection, and the microprocessor realizes alarm and data upload according to the liquid level data.

[0060] A one-way oil inlet device is arranged on the top of the collection box, which may be two inclined plates arranged opposite to each other, and the inclined plates are installed on the top of the collection box through torsion springs, so that transformer oil opens the inclined plates and flows into the collection box, and the inclined plates are reset by the torsion springs to close the top of the collection box. Other alternative structures may also be used.

[0061] The processor realizes display and storage functions through peripheral hardware.

[0062] like Figure 4As shown, embodiment 2 of the present invention provides an online detection method for transformer oil leakage, comprising:

[0063] The oil pressure detection module detects the oil pressure of the transformer and sends the oil pressure data to the microprocessor for processing;

[0064] The microprocessor converts the transformer oil pressure into the oil level of the oil conservator. When the oil level of the oil conservator is lower than the oil level at the lowest oil temperature throughout the year, an oil level low alarm is issued;

[0065] The temperature detection module detects the transformer oil temperature and sends the oil temperature data to the microprocessor for processing;

[0066] The microprocessor records the oil level-temperature curve of the transformer, calculates the theoretical oil level h2 of the oil conservator through the oil temperature detected by the temperature detection module, and compares it with the oil level h1 of the oil conservator calculated by the pressure detected by the oil pressure detection module. If the deviation is too large, an oil level alarm will be issued.

[0067] The beneficial effect of the present invention is that, compared with the prior art,

[0068] 1. Realize real-time detection of transformer oil pressure and oil temperature, real-time display, calculation, judgment and storage, identify transformer oil level status, and set alarm limits according to user needs. When the measurement results exceed the alarm limit, an alarm will be issued to reduce the workload of manual inspections and further reduce the accident rate of transformers.

[0069] 2. Use high-precision sensors to meet the needs of accurate measurement of oil pressure and oil temperature.

[0070] 3. Meet the calculation requirements of online detection device to calculate oil level and compare data, and be able to send out alarm signals according to functional requirements.

[0071] 4. The device detects oil pressure and oil temperature at the same time, and provides comprehensive auxiliary judgment. It has the function of identifying abnormal increase or decrease in transformer oil pressure caused by blockage of the breather.

[0072] 5. It can collect transformer oil and reuse it, which reduces costs and is environmentally friendly.

[0073] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0074] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0075] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0076] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0077] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An online detection system for transformer oil leakage, characterized in that: include: The oil pressure detection module includes a pressure sensor, a pressure collector and a pressure display control unit, which is used to detect the oil pressure change of the transformer in real time; Temperature detection module, used to detect transformer temperature changes in real time; Alarm module, used for transformer fault alarm; Communication module, used for information transmission; Liquid level detection module, used to detect the oil level in the oil storage tank; The microprocessor is used to receive and process the transformer oil pressure information and oil temperature information.

2. The online detection system for transformer oil leakage according to claim 1 is characterized in that: The oil pressure detection module includes a pressure sensor and a pressure collector. The detection end of the pressure sensor is installed in the oil tank. The pressure display control unit is installed outside the oil tank and connected to the pressure sensor to display the oil pressure measured by the pressure sensor.

3. The online detection system for transformer oil leakage according to claim 2 is characterized in that: The temperature detection module also includes: Dual oil temperature detection is set up. One temperature detection module is set inside the oil tank, and the other temperature detection module is set on the surface of the oil tank. The temperature difference at the two points is compared in real time, and a temperature comparison curve is drawn. The device compares the internal temperature change curve according to the change trend of the external temperature on the oil tank surface to predict the oil temperature attenuation.

4. The online detection system for transformer oil leakage according to claim 3 is characterized in that: The system structure also includes: A collection box is arranged below the transformer, and a liquid level detection module is arranged on the collection box to detect the liquid level data in the collection box in real time. At the same time, the liquid level detection module is connected to the microprocessor via wired or wireless connection, and the microprocessor realizes alarm and data upload according to the liquid level data.

5. The online detection system for transformer oil leakage according to claim 4 is characterized in that: The system structure also includes: A one-way oil inlet device is arranged on the top of the collection box, and two inclined plates are arranged opposite to each other. The inclined plates are installed on the top of the collection box through torsion springs, so that the transformer oil opens the inclined plates and flows into the collection box. The inclined plates are reset by the torsion springs to close the top of the collection box.

6. A method for online detection of transformer oil leakage, the method being a method for using an online detection system for transformer oil leakage as claimed in any one of claims 1 to 5, characterized in that: include: The oil pressure detection module detects the oil pressure of the transformer and sends the oil pressure data to the microprocessor for processing; The microprocessor converts the transformer oil pressure into the oil level of the oil conservator. When the oil level of the oil conservator is lower than the oil level at the lowest oil temperature throughout the year, an oil level low alarm is issued; The temperature detection module detects the transformer oil temperature and sends the oil temperature data to the microprocessor for processing; The microprocessor records the oil level-temperature curve of the transformer, calculates the theoretical oil level h2 of the oil conservator through the oil temperature detected by the temperature detection module, and compares it with the oil level h1 of the oil conservator calculated by the pressure detected by the oil pressure detection module. If the deviation is too large, an oil level alarm will be issued.

7. The online detection method for transformer oil leakage according to claim 6 is characterized in that: The transformer oil leakage online detection method also includes: The microprocessor detects the transformer oil temperature through the temperature detection module. When the oil temperature decreases at a rate significantly lower than the oil level decreases, an oil leakage alarm is issued.

8. The online detection method for transformer oil leakage according to claim 7 is characterized in that: The transformer oil leakage online detection method also includes: According to the relationship between oil temperature and oil volume, an oil pressure-oil level conversion model for oil conservator is built. By substituting the oil pressure into the oil pressure-oil level conversion model for oil conservator, the oil level of the oil conservator can be directly obtained. When the oil level exceeds the safe position, the alarm module flashes.

9. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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