Transformer working condition monitoring system

Abstract

The utility model relates to the technical field of electric equipment working condition monitoring, in particular to a transformer working condition monitoring system. The system comprises a vibration sensing module and a partial discharge sensing module which are used for respectively acquiring a vibration signal and a partial discharge signal of the transformer; the digital-to-analog conversion acquisition card is used for converting an analog signal into a digital signal; the industrial personal computer is used for analyzing and processing the data; the wireless communication module is used for remotely transmitting the analyzed data to a unified monitoring platform; and the power module provides stable power for the device. The vibration sensing module and the partial discharge sensing module are connected in a manner of clinging to the surface of the transformer, so that the accuracy of signal acquisition is ensured; the industrial personal computer realizes rapid analysis and processing based on a high-performance chip; the wireless communication module supports multi-node transmission and adapts to a complex operation environment. The device solves the problems of single monitoring means, poor real-time performance, high energy consumption and the like in the prior art, and provides reliable support for state sensing and intelligent management of the transformer and other power equipment.

Description

TECHNICAL FIELD

[0001] The utility model relates to the technical field of electrical equipment working condition monitoring, especially relates to a transformer working condition monitoring system. BACKGROUND

[0002] The transformer is one of the most important devices in the power system, and its main function is to convert high-voltage power into low-voltage power or low-voltage power into high-voltage power, ensuring the stable operation of the power system. As the core device in the power system, the running state of the transformer directly affects the safety, reliability and economy of the power grid. Therefore, real-time state monitoring of the transformer is essential to identify potential fault hazards in advance and ensure the stability of the power system and avoid major power accidents. Currently, the technical means for transformer state monitoring mainly include temperature monitoring, oil level monitoring, gas monitoring, partial discharge monitoring and vibration monitoring. These technical methods are independent of each other and have the following shortcomings:

[0003] (1) The monitoring means is single and the information is not comprehensive, which cannot comprehensively evaluate the overall health status of the transformer, often leading to blind area or missed detection of fault detection. Especially when multiple faults occur at the same time, the existing equipment is difficult to accurately reflect the state of the transformer;

[0004] (2) The data collected by different monitoring modules is usually stored separately and lacks a unified data analysis platform, leading to management difficulties. For example, vibration monitoring equipment, partial discharge detection equipment, oil temperature monitoring equipment, etc. are independent of each other, and the data collected needs to be manually or through different platforms, which not only increases the complexity of data processing, but also reduces the real-time and accuracy of fault warning.

[0005] (3) The data processing capacity and transmission speed of the monitoring module are limited, which is difficult to meet the rapid response demand of transformer fault. Transformer fault often develops rapidly in a short time, if the monitoring system cannot realize real-time data collection and analysis, it may miss the best warning and maintenance opportunity, leading to more serious fault.

[0006] (4) The power supply design of the existing equipment generally has the problems of high energy consumption and limited battery life in a short time. Especially in remote areas or harsh environments, traditional equipment often relies on external power supply or cannot work continuously and stably. INVENTION CONTENT

[0007] To achieve the above purpose and solve the above technical problems, the technical scheme adopted by the utility model is as follows: a transformer working condition monitoring system, characterized by comprising: a vibration sensing module, a partial discharge sensing module, a digital-to-analog conversion acquisition card, an industrial computer, a wireless communication module and a power supply module.

[0008] The vibration sensing module is arranged on the outer surface of the transformer and is fixed to the outer surface of the transformer, and is used to obtain the vibration signal of the transformer and convert the vibration signal into a standard signal.

[0009] The partial discharge sensing module is arranged on the outer surface of the transformer and is fixed to the outer surface of the transformer, and is used to obtain the partial discharge signal of the transformer and convert the partial discharge signal into a standard signal.

[0010] The digital-analog conversion acquisition card is connected to the vibration sensing module and the partial discharge sensing module, respectively, and is used to convert the standard signals obtained by the vibration sensing module and the partial discharge sensing module into digital signals.

[0011] The industrial computer is connected to the digital-analog conversion acquisition card, and is used to analyze and process the digital signals collected by the digital-analog conversion acquisition card.

[0012] The wireless communication module is connected to the industrial computer, and is used to receive the data processed by the industrial computer and upload the data to the cloud.

[0013] The power module is connected to the vibration sensing module, the partial discharge sensing module, the digital-analog conversion acquisition card, the industrial computer, and the wireless communication module, respectively, and is used to supply power to the system.

[0014] Further, the vibration sensing module includes a three-axis acceleration sensor, a first filter unit, a first charge amplification unit, and a first detection unit. The three-axis acceleration sensor removes noise interference in the vibration signal through the first filter unit, amplifies the vibration signal through the first charge amplification unit, and quantizes and transmits the vibration signal to the digital-analog conversion acquisition card through the first detection unit.

[0015] Further, the partial discharge sensing module includes an ultrasonic probe, a second filter unit, a second charge amplification unit, and a second detection unit. The ultrasonic probe obtains the partial discharge signal of the transformer based on ultrasonic sensing technology, removes background noise in the partial discharge signal through the second filter unit, amplifies the partial discharge signal through the second charge amplification unit, and quantizes and transmits the partial discharge signal to the digital-analog conversion acquisition card through the second detection unit.

[0016] Further, the digital-analog conversion acquisition card uses a comparison type A / D converter to convert analog signals into digital signals in binary encoding form.

[0017] Further, the industrial computer uses a CSM32RV20 chip to store, analyze, and feature extract the digital signals.

[0018] Further, the wireless communication module uses a ZigBee wireless communication module with a working frequency band of 2.4 GHz and a transmission rate of 250 kb / s.

[0019] Further, the power module is 8500mAh lithium battery.

[0020] The utility model has the following beneficial effects:

[0021] 1、Comprehensive monitoring and high integration

[0022] The utility model discloses a joint work of vibration sensing module and partial discharge sensing module can comprehensively monitor the key state parameters such as vibration signal and partial discharge signal of transformer, solve the problem of single monitoring means in the prior art. Meanwhile, unified digital-analog conversion acquisition card and industrial computer are adopted to carry out acquisition, conversion and processing to multiple signals, simplify the system structure, and improve the integration and analysis efficiency of data.

[0023] 2、Real-time and intelligent management

[0024] The industrial computer has the ability of quickly processing data, and combines with ZigBee wireless communication module, realizes real-time monitoring and remote data transmission of the running state of the transformer. The system can extract state characteristics through real-time data analysis, identify potential faults, issue alarm signals and support state prediction.

[0025] 3、Energy-saving design and high reliability

[0026] It is equipped with high-capacity lithium battery power supply, optimizes the equipment energy consumption, supports long-term online monitoring. Each module selects components with excellent stability, has strong anti-interference ability, and can adapt to the complex conditions in the transformer operating environment. In addition, the power module of the system has overcharge and overdischarge protection function, effectively prolongs the service life of the equipment.

[0027] 4、Simple installation and economy

[0028] The device adopts modular design, and each part has clear function, is easy to install, maintain and replace. The sensor is connected with the transformer through close installation, and the equipment does not need to be modified. The overall equipment adopts standardized hardware, reduces the manufacturing cost, is suitable for large-scale production, and has high economic benefit.

[0029] 5、Wide applicability

[0030] The device is suitable for the running state monitoring of various transformers, and can be extended to switch cabinet, electric reactor and other power equipment, supports the diversification demand of power system state monitoring, and provides reliable guarantee for the safe and stable operation of equipment. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 It is a structure schematic view of a transformer operating condition monitoring system embodiment of the utility model.

[0032] Figure 2This is a schematic diagram of the vibration sensing module structure of an embodiment of a transformer operating condition monitoring system according to this utility model.

[0033] Figure 3 This is a schematic diagram of the partial discharge sensing module structure of an embodiment of a transformer operating condition monitoring system of this utility model. Detailed Implementation

[0034] To enable those skilled in the art to better understand the content of this utility model and to make its objectives, technical solutions, and advantages clearer, the present utility model will be further described in detail below with reference to embodiments and accompanying drawings. The illustrative embodiments and descriptions of this utility model are for illustrative purposes only and are not intended to further limit the scope of the utility model.

[0035] like Figure 1 As shown, this embodiment provides a transformer operating condition monitoring system, including: a vibration sensing module 1, a partial discharge sensing module 2, a digital-to-analog converter acquisition card 3, an industrial control computer 4, a wireless communication module 5, and a power supply module 6.

[0036] Furthermore, the vibration sensing module 1 is disposed on the outer surface of the transformer and is fixedly connected to the outer surface of the transformer. It is used to acquire the vibration signal of the transformer and convert the vibration signal into a standard signal.

[0037] Specifically, the vibration sensing module 1 uses the ADXL345, a high-precision triaxial accelerometer with a sensitivity of 0.0039g, suitable for detecting low-amplitude vibration signals. It can accurately monitor the mechanical vibration and dynamic characteristics of the transformer. This sensor supports a low-power mode, making it ideal for long-term online monitoring applications, extending battery life and reducing system energy consumption.

[0038] Furthermore, the vibration sensing module 1 includes a triaxial accelerometer 7, a first filtering unit 8, a first charge amplification unit 9, and a first detection unit 10. The triaxial accelerometer 7 removes noise interference from the vibration signal through the first filtering unit 8, amplifies the vibration signal through the first charge amplification unit 9, and then quantizes the vibration signal through the first detection unit 10 and transmits it to the digital-to-analog converter (DAC) acquisition card 3. The ADXL345 uses both I2C and SPI digital interface outputs, facilitating integration with the DAC acquisition card 3 for rapid data transmission and processing. This sensor also possesses strong anti-interference capabilities, adapting to the complex working environment of power equipment and effectively removing the influence of external environmental interference on the vibration data.

[0039] Furthermore, the partial discharge sensing module 2 is disposed on the outer surface of the transformer and fixedly connected to the outer surface of the transformer, and is used to acquire the partial discharge signal of the transformer and convert the partial discharge signal into a standard signal.

[0040] Furthermore, the partial discharge sensing module 2 includes an ultrasonic probe 11, a second filtering unit 12, a second charge amplification unit 13, and a second detection unit 14. The ultrasonic probe 11 acquires the partial discharge signal of the transformer based on ultrasonic sensing technology. The second filtering unit 12 removes the background noise in the partial discharge signal, and the second charge amplification unit 13 amplifies the partial discharge signal. Finally, the second detection unit 14 quantizes the partial discharge signal and transmits it to the digital-to-analog converter acquisition card 3.

[0041] Specifically, the partial discharge sensing module 2 uses the PCE-PI-100, an ultrasonic-based partial discharge sensor capable of detecting minute partial discharge phenomena occurring inside electrical equipment. It boasts high accuracy and sensitivity, detecting partial discharges in transformer insulation. In low-noise environments, it can accurately determine the location and intensity of the discharge point. Furthermore, it exhibits strong environmental adaptability, operating stably in high-voltage environments such as substations and power plants, meeting the monitoring needs of various power equipment. This sensor also supports a digital output interface, facilitating connection and data transmission with the digital-to-analog converter card 3, ensuring data stability and accuracy.

[0042] Furthermore, the digital-to-analog converter acquisition card 3 is connected to the vibration sensing module 1 and the partial discharge sensing module 2 respectively, and is used to convert the standard signals acquired by the vibration sensing module and the partial discharge sensing module into digital signals.

[0043] Furthermore, the digital-to-analog conversion acquisition card 3 uses a comparator-type A / D converter to convert analog signals into digital signals in binary code form.

[0044] Specifically, the analog-to-digital converter (ADC) acquisition card 3 uses the NI-9205 digital input module. The NI-9205 is a 16-bit ADC capable of providing high-resolution digital signal acquisition, making it ideal for accurately capturing analog signals from vibration and partial discharge sensors. It supports sampling rates up to 250 kS / s, enabling real-time monitoring of sensor signal changes and meeting the real-time detection requirements of transformer operating status. It also supports multiple industrial bus standards, such as USB, Ethernet, PCI, and PXI, ensuring compatibility with the industrial computer 4 and other devices, simplifying system integration. As an industrial-grade data acquisition card, the NI 9205 maintains high stability and accuracy even in harsh working environments, meeting the high data acquisition requirements of power systems.

[0045] Furthermore, the industrial control computer 4 is connected to the digital-to-analog converter acquisition card 3 for analyzing and processing the digital signals acquired by the digital-to-analog converter acquisition card.

[0046] Specifically, the industrial control computer 4 adopts the CSM32RV20 industrial control unit, which is an industrial-grade microcontroller unit based on the ARM Cortex-M3 architecture, possessing high computing power and real-time processing capabilities. Equipped with a 32-bit processor, it can quickly execute data analysis tasks and supports various data processing algorithms. Designed for industrial environments, this industrial control computer can operate stably for extended periods under complex conditions such as temperature, humidity, and electromagnetic interference, making it suitable for demanding scenarios involving power equipment monitoring. It features abundant I / O interfaces and communication modules, flexibly supporting connections to various sensors, data acquisition cards, and communication modules, facilitating integration with other devices. Furthermore, compared to traditional PCs or servers, the CSM32RV20 consumes less power, making it suitable for long-term online power equipment monitoring.

[0047] Furthermore, the wireless communication module 5 is connected to the industrial control computer 4 via a signal, and is used to receive the data processed by the industrial control computer 4 and upload it to the cloud. The wireless communication module 5 operates at a frequency of 2.4 GHz and has a transmission rate of 250 kb / s.

[0048] Specifically, the wireless communication module 5 is an Xbee-S2C-ZigBee wireless module, which adopts the ZigBee protocol and features high reliability and a long transmission distance (up to 100 meters). It is suitable for applications requiring remote data transmission and multi-point support, ensuring stable data transmission to remote platforms. Furthermore, its low power consumption makes it suitable for wireless transmission systems requiring long-term operation, extending battery life and reducing system maintenance costs. The Xbee-S2C-ZigBee wireless module has a standard interface, allowing for rapid integration with other modules through simple configuration. It supports point-to-point and point-to-multipoint communication methods to meet diverse application needs. Simultaneously, the ZigBee protocol possesses strong anti-interference capabilities and robust network self-organization capabilities, ensuring stable operation of the communication network even in complex power system environments.

[0049] Furthermore, the power supply module 6 is electrically connected to the vibration sensing module 1, the partial discharge sensing module 2, the digital-to-analog converter acquisition card 3, the industrial control computer 4, and the wireless communication module 5, respectively, and is used to supply power to the system.

[0050] Specifically, the power module 6 uses an NCR18650B lithium battery with a capacity of 8500mAh, which can ensure that the device can operate stably for a long time without an external power source. It is suitable for application scenarios in remote areas or where the grid cannot be accessed. At the same time, it has a high energy density and is relatively lightweight in size and weight, which can effectively reduce the overall size and weight of the device, making it easy to install and move.

[0051] Specifically, the working principle of the transformer condition monitoring system is as follows:

[0052] 1. Confirm the installation location.

[0053] (1) Vibration sensing module 1 is installed on the surface of the transformer shell, close to the transformer shell, to ensure that vibration data can be collected in real time and accurately.

[0054] (2) The partial discharge sensing module 2 is installed on the high-voltage side or insulation part of the transformer to ensure that partial discharge phenomena can be detected and insulation faults can be detected in time.

[0055] (3) The digital-to-analog conversion acquisition card 3 and the industrial control computer 4 are installed in the control room or power equipment room of the substation, away from high-voltage equipment, to ensure the stable operation of the equipment.

[0056] (4) The wireless communication module 5 is installed on the industrial control computer to ensure stable wireless signal and real-time data transmission to the monitoring platform.

[0057] 2. Workflow:

[0058] (1) Vibration sensing module 1 (ADXL345) acquires the vibration signal of the transformer in real time and transmits the signal to the digital-to-analog converter acquisition card via I2C or SPI interface. The digital-to-analog converter acquisition card converts the analog signal into a digital signal and transmits it to the industrial control computer.

[0059] (2) The partial discharge sensor module 2 (PCE-PI-100) monitors the partial discharge of the transformer in real time. It detects the partial discharge signal by ultrasonic wave and converts it into an analog signal. After digital-to-analog conversion, it is transmitted to the industrial control computer.

[0060] (3) The industrial computer 3 (CSM32RV20) receives data from the two sensor modules, analyzes and processes it, calculates the health status of the transformer, and determines whether there is a fault (such as abnormal vibration or partial discharge).

[0061] (4) The industrial control computer 3 transmits the processed data to the remote monitoring platform through the ZigBee wireless communication module 4 for remote monitoring and management by the staff.

[0062] (5) The system monitors the transformer’s vibration and partial discharge data at regular intervals, tracks the transformer’s working status in real time, detects potential faults in a timely manner, and ensures the stable operation of the transformer.

[0063] After on-site testing, the transformer integrated status sensing device can accurately monitor transformer vibration changes and partial discharge signals. The equipment exhibits high stability and can effectively collect data during long-term operation, accurately assessing the transformer's operating status. When abnormal vibration or partial discharge occurs in the transformer, the system will issue an alarm signal and transmit the data to the monitoring platform in real time for timely handling by maintenance personnel.

[0064] Furthermore, the system features low energy consumption and high reliability, enabling stable operation in long-term online monitoring scenarios. The lithium battery design allows the device to operate independently without external power, reducing the inconvenience caused by power supply issues.

[0065] The technical features of the above embodiments can be combined arbitrarily. 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.

[0066] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the 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 patent application should be determined by the appended claims.

Claims

1. A transformer operating condition monitoring system, characterized in that, include: Vibration sensing module (1), partial discharge sensing module (2), digital-to-analog converter acquisition card (3), industrial control computer (4), wireless communication module (5) and power supply module (6); The vibration sensing module (1) is disposed on the outer surface of the transformer and is fixedly connected to the outer surface of the transformer. It is used to acquire the vibration signal of the transformer and convert the vibration signal into a standard signal. The partial discharge sensing module (2) is disposed on the outer surface of the transformer and fixed to the outer surface of the transformer. It is used to acquire the partial discharge signal of the transformer and convert the partial discharge signal into a standard signal. The digital-to-analog converter acquisition card (3) is connected to the vibration sensing module (1) and the partial discharge sensing module (2) respectively, and is used to convert the standard signals acquired by the vibration sensing module and the partial discharge sensing module into digital signals. The industrial control computer (4) is connected to the digital-to-analog converter acquisition card (3) for analyzing and processing the digital signals acquired by the digital-to-analog converter acquisition card; The wireless communication module (5) is connected to the industrial control computer (4) by signal and is used to receive the data processed by the industrial control computer (4) and upload it to the cloud. The power supply module (6) is electrically connected to the vibration sensing module (1), the partial discharge sensing module (2), the digital-to-analog converter acquisition card (3), the industrial control computer (4), and the wireless communication module (5) respectively, and is used to supply power to the system.

2. The transformer operating condition monitoring system according to claim 1, characterized in that, The vibration sensing module (1) includes a triaxial accelerometer (7), a first filtering unit (8), a first charge amplification unit (9), and a first detection unit (10). The triaxial accelerometer (7) removes noise interference from the vibration signal through the first filtering unit (8), amplifies the vibration signal through the first charge amplification unit (9), and then quantizes the vibration signal through the first detection unit (10) and transmits it to the digital-to-analog converter acquisition card (3).

3. The transformer operating condition monitoring system according to claim 2, characterized in that, The partial discharge sensing module (2) includes an ultrasonic probe (11), a second filtering unit (12), a second charge amplification unit (13), and a second detection unit (14). The ultrasonic probe (11) acquires the partial discharge signal of the transformer based on ultrasonic sensing technology. The background noise in the partial discharge signal is removed by the second filtering unit (12), and the partial discharge signal is amplified by the second charge amplification unit (13). The partial discharge signal is then quantized by the second detection unit (14) and transmitted to the digital-to-analog converter acquisition card (3).

4. The transformer operating condition monitoring system according to claim 1, characterized in that, The digital-to-analog conversion acquisition card (3) uses a comparator-type A / D converter to convert analog signals into digital signals in binary code form.

5. The transformer operating condition monitoring system according to claim 1, characterized in that, The industrial control computer (4) uses a CSM32RV20 chip for storing, analyzing and extracting features from digital signals.

6. The transformer operating condition monitoring system according to claim 1, characterized in that, The wireless communication module (5) operates at a frequency of 2.4 GHz and has a transmission rate of 250 kb / s.

7. The transformer operating condition monitoring system according to claim 1, characterized in that, The power module (6) is an 8500mAh lithium battery.

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