CN205091430U - Transformer internal discharge failure diagnosis device - Google Patents

Abstract

The utility model provides a transformer internal discharge fault diagnosis device, which is composed of a fault data collection unit, a server and several real-time monitoring work units. The three are only connected through the network, and the interference is effectively reduced through electrical isolation. One fault data collection unit is composed of one acoustic signal characteristic data acquisition terminal and one PC upper computer, wireless communication is adopted between the two, and the acoustic signal characteristic data acquisition terminal is installed on the transformer; each unit needs to monitor the corresponding main transformer 1 real-time monitoring work unit, 1 real-time monitoring work unit is composed of 1 discharge detection terminal and 1 PC upper computer, wireless communication is adopted between the two, and the discharge detection terminal is installed on the transformer; all PC upper computers are connected through the network Connect with the server. The utility model can accurately identify the internal discharge mode, analyze and process according to the monitoring sound signal, and find faults in time.

Description

A device for diagnosing internal discharge faults of transformers

technical field

The utility model relates to a transformer internal discharge fault diagnosis device, which belongs to the technical field of transformer control auxiliary devices.

Background technique

Power transformers play an extremely important role in the continuous and stable transmission of electric energy, and their reliable operation is directly related to the insulation condition. The internal discharge of the transformer is a common fault of the transformer. The internal discharge of the transformer will cause the insulation to deteriorate and the internal components to work abnormally, which will cause the transformer to break away from the normal operation state, and even pose a threat to the surrounding power equipment, resulting in a series of serial accidents.

Internal discharge faults of the transformer include arcing caused by melting of lead wire joints, discharge of lead wires to the oil tank or clamps, arc discharge between leads or leads to other potential bodies, discharge between turns, discharge between layers, short circuit discharge between phases, spark discharge, solid insulation air gap discharge , surface discharge, floating potential discharge and other discharge modes. On-line accurate identification of the internal discharge mode of the transformer is of great significance to timely discover the hidden faults of the transformer and improve the efficiency of on-site operation and maintenance.

It is difficult for traditional transformer internal discharge test equipment to take into account both the real-time performance of the monitoring process and the accuracy of monitoring results, and it is difficult to quickly identify the internal discharge mode of the transformer.

Utility model content

The purpose of this utility model is to provide a transformer internal discharge fault diagnosis device, through the accurate and stable monitoring of the internal discharge acoustic signal of the transformer, the identification of the internal discharge mode can be accurately carried out, and the fault can be found in time by analyzing and processing the monitoring acoustic signal, and at the same time, it can be effectively avoided. The interference of electric field and magnetic field in the external environment.

The utility model is realized through the following technical solutions. A transformer internal discharge fault diagnosis device, which is composed of a fault data collection unit, a server and several real-time monitoring work units, the three are only connected through the network, and the interference is effectively reduced through electrical isolation, in which the real-time monitoring work unit The number is equal to the number of monitored main variables. A fault data collection unit is composed of an acoustic signal characteristic data acquisition terminal and a PC upper computer. Wireless communication is used between the two. The acoustic signal characteristic data acquisition terminal is installed on the transformer, and the PC upper computer is set in the communication effective range. Inside; the number of servers is 1, set up in any place of the equipment operation and maintenance department; each main transformer to be monitored corresponds to 1 real-time monitoring work unit, and 1 real-time monitoring work unit consists of 1 discharge detection terminal and 1 PC Composed of upper computer, wireless communication is adopted between the two, the discharge detection terminal is installed on the transformer, and the PC upper computer is set within the effective range of communication; all the PC upper computers are connected to the server through the network; the server has two input terminals and one output terminal; the first input terminal receives the information uploaded by the fault collection unit; the second input terminal receives the singularity index of the discharge sound signal input by the real-time monitoring unit; the server output terminal is connected to the real-time monitoring unit.

Specifically, the server has two input terminals and one output terminal. The first input end receives information such as the singularity index, discharge mode, and discharge time of the discharge acoustic signal uploaded by the fault collection unit, and establishes an acoustic signal feature database based on this; the second input end receives the discharge acoustic signal input by the real-time monitoring unit. The singularity index is compared with the data in the database to determine whether the singularity index is a fault discharge and the discharge fault mode; the server will judge the situation and feed it back to the real-time monitoring unit through the output terminal.

The fault data collection unit collects the discharge acoustic signals of transformers with internal discharge faults, extracts the singularity indices of signal waveforms under different discharge modes, and transmits and stores them into the server; the acoustic signal characteristic database is established in the server, and the fault data collection unit communicates with the real-time The singularity index, discharge mode and discharge parameters of the discharge acoustic signal extracted by the monitoring unit are recorded, classified, retrieved, and compared; the real-time monitoring unit monitors the transformer in operation, tests and analyzes the discharge acoustic signal waveform in real time, and extracts The singularity index is sent to the database of acoustic signal characteristics in the server for comparison, the feedback result is displayed, and the fault discharge that has been judged is fault-located and an audible and visual alarm is activated.

Furthermore, the fault data collection unit is composed of a sensor, an analog filter, an ADC converter, a read-write memory, a communication port circuit, a PC upper computer, and a power supply circuit. The power supply circuit converts the input external power supply to different levels of voltage required by the sensor, read-write memory, display screen and other components, and supplies power to the sensor, analog filter, ADC converter, read-write memory, and communication port circuit; the input terminal of the sensor It is connected with a known fault transformer to detect the internal discharge sound signal of the transformer, and the output end is connected to the input end of the analog filter; Connect with the input terminal of the ADC converter; the ADC converter converts the filtered discharge sound signal into a digital signal, and its output terminal is connected with the input terminal of the read-write memory; the read-write memory connects the digital signal with the PC host computer through the communication port Carry out wireless communication, upload the digital information to the PC host computer for waveform processing, and extract the singularity index of the fault waveform; the PC host computer is connected to the server, and uploads the singularity index of different types of internal discharge acoustic signals to the server.

Furthermore, the real-time monitoring unit is composed of a discharge detection terminal and a PC upper computer. The real-time monitoring unit monitors the waveform and extracts the singularity index of the acoustic signal in real time and online, and uploads the singularity index to the server for comparison and discrimination of the discharge mode. After determining that it is an internal discharge, the discharge fault is located and displayed on the discharge detection terminal. display, and start the sound and light alarm at the same time. Its composition and specific characteristics are as follows:

(1) The discharge detection terminal consists of 3 groups of sounding modules, 4 groups of sensors, analog filters, ADC converters, read-write memory, communication port circuit, data decoding circuit, display screen, power circuit, battery, and charging interface. Each group of sounding modules is placed in the same position as a group of sensors.

Furthermore, the discharge detection terminal can adopt two power supply modes: battery power supply and external power supply power supply according to the length of monitoring time actually required by the monitored transformer. For transformers that require long-term online monitoring, the discharge detection terminal is fixed on the transformer for a long time, powered by an external power supply, and the external power supply is directly input to the power circuit; for short-term monitoring, inspection inspections, diagnostic tests, etc., battery power is used. Put the discharge detection terminal against the transformer shell for a short time to monitor the discharge sound signal and distinguish the discharge mode. The charging port can charge the battery through an external power supply, and the battery output terminal is connected to the power circuit. The power supply circuit converts the voltage, and after conversion, it outputs voltages of different levels required by components such as sensors, read-write memory, and display screens.

When the monitored transformer is running, the input terminals of the 4 sets of sensors are connected to the monitored transformer to detect the internal discharge sound signal of the transformer, and the output terminal is connected to the input terminal of the analog filter; the input terminal of the analog filter is connected to the output terminal of the sensor, and the detected discharge The acoustic signal is filtered according to the required frequency band, and its output terminal is connected to the input terminal of the ADC converter; the ADC converter performs AD conversion of the filtered discharge acoustic signal into a digital signal, and its output terminal is connected to the first input terminal of the read-write memory; The first input terminal of the read-write memory is connected to the output terminal of the ADC converter, the second input terminal and the first output terminal are respectively connected to the communication port for wireless communication with the host computer, and the second output terminal is connected to 3 groups of sounding modules The third output terminal is connected to the sound and light alarm circuit, and the fourth output terminal is connected to the data decoding circuit; the PC host computer processes the waveform information uploaded by the communication port, extracts the singularity index of the waveform and records the detected The different start times of the acoustic signal, and then upload the obtained singularity index to the server through the second input terminal of the server, and compare it with the data in the database to judge whether the singularity index is a fault discharge; PC host computer Receive the output feedback result of the server, and execute different instructions according to the feedback result.

When the obtained singularity index is not a fault discharge, the PC host computer instructs the discharge detection terminal to continue to detect the subsequent waveform; when the obtained singularity index is a fault discharge, the PC host computer continues to connect with the server to identify and record the discharge Mode, and send instructions to the read-write memory through the communication port circuit, and the second output terminal of the read-write memory outputs signals to 3 groups of sounding modules; each group of sounding modules is placed in the same position as a group of sensors, and each group of sounding modules sends out sound wave signals , the four groups of sensors respectively transmit the measured waveform initial time parameters to the PC host computer, and the PC host computer calculates and obtains the relative positions of the four groups of sensors; then the PC host computer calculates the time difference between the arrival of the internal fault discharge sound signal to the four groups of sensors based on the initial measurement Obtain the relative position between the fault discharge point and the four groups of sensors to complete the fault location; the PC host computer sends the fault discharge mode and fault location information to the read-write memory through the communication port circuit; the read-write memory sends signals through the third output terminal Give the sound and light alarm circuit, the sound and light alarm circuit is activated, indicating that there is an internal discharge; at the same time, the read-write memory sends the discharge mode information and fault location information to the display screen through the data decoding circuit.

The utility model has the advantages of:

(1) Discrimination of the internal discharge mode of the transformer is based on the singularity index of the discharge acoustic signal, which is unique in the determination of the discharge mode and has high discrimination accuracy; discrimination based on the acoustic signal can effectively avoid the interference of the electric field and magnetic field in the external environment .

(2) The internal discharge fault diagnosis device of the transformer is composed of a fault data collection unit, a server, and a real-time monitoring unit. The three are only connected through a network to effectively achieve electrical isolation and reduce interference.

(3) In the real-time monitoring work unit, the discharge detection terminal is equipped with an external power supply mode and a battery power supply mode, and the power supply mode can be selected for different working modes of long-term online monitoring or short-term patrol testing, and the test method is flexible.

(4) The positioning of the initial relative positions of the four sensors is determined by the sound module, without the use of electrical signals, effectively avoiding the electrical interference generated by the transformer during operation.

(5) Since there is a sound module to locate the initial position of the sensor, the position of the sensor can be set according to the requirements during the equipment inspection or the installation of the discharge terminal, which greatly improves the flexibility of equipment use and installation, and at the same time ensures the accuracy of fault location accuracy.

(6) After the internal discharge is located by 4 sensors, the relevant positioning information can be displayed on the display screen in two-dimensional/three-dimensional graphics after being processed by a PC, making the spatial position display of internal faults more intuitive and convenient for operation and maintenance personnel to target Carry out maintenance.

Description of drawings

Fig. 1 is a block diagram of the utility model;

Fig. 2 is a schematic diagram of the hardware device of the present invention.

The names corresponding to the reference signs are:

1-Fault data collection unit, 2-Server, 3-Real-time monitoring work unit, 101-Sound signal characteristic data collection terminal, 102-PC host computer 1 (fault data collection unit), 301-Discharge detection terminal, 302-PC host Machine 2 (real-time monitoring unit), 110-sensor 1,111-analog filter 1,112-ADC converter 1,113-read-write memory 1,114-communication port circuit 1,115-power circuit 1,310-sound module 1,311-sound module 2,326-sound module 3,312- Sensor 2,313-sensor 3,314-sensor 4,325-sensor 3,315-analog filter 2,316-ADC converter 2,317-read and write memory 2,318-communication port circuit 2,319-power supply circuit 2,320-sound and light alarm circuit, 321-data decoding Circuitry, 322-display screen, 323-battery, 324-charging port.

detailed description

As shown in FIG. 1 , a transformer internal discharge fault diagnosis device is composed of a fault data collection unit 1 , a server 2 and several real-time monitoring working units 3 . Among them, it is required to set up a real-time monitoring work unit for each main transformer to be monitored, that is, to cover N main transformers to be monitored, N real-time monitoring work units need to be configured. The above equipment can constitute a transformer internal discharge fault diagnosis device. The specific composition of the device is as follows:

1. The fault data collection unit 1 is composed of an acoustic signal feature data acquisition terminal 101 and a PC host computer-1102. The acoustic signal feature data acquisition terminal 101 is installed on the transformer, and the host computer-1102 is set within the effective range of communication. The two exchange information through wireless communication.

The basic configuration of PC-1102 is to install a wireless communication module, install Matlab software and have a program for calculating singularity index.

Acoustic signal feature data acquisition terminal 101 is composed of sensor-1110, analog filter-1111, ADC converter-1112, read-write memory-1113, communication port circuit-1114, and power supply circuit-1115. Among them, the sensor-1110 is installed on the known fault transformer, the input end is close to the surface of the transformer, and the output end is connected to the input end of the analog filter-1111. The sensor can choose the ULT2000 series of Lancetec company and the PD series sensor of POWER company. ULT2019 ( V) as an example, the sensitivity is 500Mv/g, the frequency range is 0.7-10000HZ, it has the advantages of low impedance output, anti-interference, anti-humidity, anti-harmful gas, and long cable transmission; analog filter-1111 output and ADC converter- 1112 is connected to the input terminal, because the audible signal of the internal discharge of the transformer is generally less than 1000HZ, the analog filter-1111 is used to filter out the high-frequency signal, and the analog filter-1111 can be a Bessel filter, which has a small time delay Features, suitable for transmitting pulse waveform signals; ADC converter-1112 output terminal is connected to read-write memory-1113, ADC converter-1112 is used to convert analog signal into digital input to read-write memory for processing, ADC converter- 1112 can choose 12-bit ADC574 parallel converter or 8-bit ADC0832 serial converter. Taking ADC574 as an example, its conversion speed is 25μs and conversion accuracy is 0.05%, which can be widely used in data acquisition devices. Read-write memory-1113 is used to store and read data, and its output terminal is connected to the input terminal of communication port circuit-1114. There are many options for reading and writing memory, for example, MCM6264 produced by MOTOROLA or μPD41256 produced by NEC can be selected. RAM memory. The communication port circuit-1114 connects the data in the read-write memory-1113 with the PC host computer-1102 through wireless transmission, wherein the communication port circuit-1114 has a built-in communication interface and a wireless transmission module, for example, the RS232 communication interface and remote RS232 wireless serial port module (POP2033), transmission power 1W, reliable line-of-sight transmission distance up to 1000-4000 meters, which can meet the communication requirements between the acoustic signal characteristic data collection terminal 101 and the PC host computer-1102. The input terminal of the power supply circuit-1115 is connected to the external power supply, and the built-in rectification circuit and DC/DC conversion module can generally be selected from WISPOWER’s DC/DC series conversion module, and its output terminals are respectively connected to the sensor-1110, analog filter-1111, ADC conversion Device-1112, read-write memory-1113, and communication port circuit-1114 are connected to provide the required working voltage.

2. The server 2 receives the singularity index, discharge mode and other information of the internal fault discharge waveform uploaded by the fault data collection unit 1. At the same time, the server 2 receives the waveform signal singularity index input by the real-time monitoring unit 3, and communicates with the server 2. The database is compared, retrieved, and the information is fed back to the real-time monitoring unit 3 . The server 2 and the PC host computer-1 in the fault data collection unit 1 and the PC host computer-2 in the real-time monitoring work unit 3 are all connected by wired network, so the server 2 can be installed in any place with network connection in the company according to the situation .

Server 2 is a device that provides computing services. Its composition includes processors, hard disks, memory, and device buses. Management and other aspects are more demanding. In the present invention, server 2 hardware configuration aspect can select IBMSystemx3800 database server for use; Software configuration aspect needs to be installed with MySQL database, Linux operating device, Apache Web server, PHP server-side script interpreter and other software.

3. The real-time monitoring unit 3 is composed of a discharge detection terminal 301 and a PC upper computer-2302. The real-time monitoring unit monitors the waveform and extracts the singularity index of the acoustic signal in real time and online, and uploads the singularity index to the server for comparison and discrimination of the discharge mode. After determining that it is an internal discharge, the discharge fault is located and displayed on the discharge detection terminal. display, and start the sound and light alarm at the same time. The specific implementation is as follows:

The basic configuration of the PC-1102 is to install a wireless communication module, install Matlab software, and have a program for calculating the singularity index and a calculation program for fault location.

Discharge detection terminal 3 consists of sound module-1310, sound module-2311, sound module-3326, sensor-2312, sensor-3313, sensor-4314, sensor-5325, analog filter-2315, ADC converter-2316, read-write Memory-2317, communication port circuit-2318, power supply circuit-2319, sound and light alarm circuit 320, data decoding circuit 321, display screen 322, battery 323, and charging port 324.

When the monitored transformer is running, the sensor-2312, sensor-3313, sensor-4314, and sensor-5325 are all installed on the monitored transformer, the input end is close to the surface of the transformer, and the output end is connected to the input end of the analog filter-2315 , the sensor can also choose Lancetec's ULT2000 series and POWER's PD series; at the same time, two sets of sounding modules are installed on the transformer, of which the sounding module-1311 and the sensor-2312 are arranged at the same position, and the sounding module-2310 and the sensor-3313 Arranged at the same position, the sounding module-2326 and the sensor-3325 are arranged at the same position, which is used for fault location after the fault is determined. It is connected to the second output terminal of the read-write memory-2. The sound module has built-in sound control components and speakers. Generally, MSP430G2533 can be selected as the control component to control the sound frequency. MSP430G2533 has the characteristics of ultra-low power supply and ultra-low power consumption. The output terminals of the sensors are all connected to the input terminals of the analog filter-2315, and the analog filter-2315 performs filtering according to the required frequency band, and a Bessel filter with a small time delay characteristic can be selected, and the output terminals of the analog filter-2315 are connected to the ADC Converter-2316 input connection. The ADC converter-2316 converts the analog signal into a digital signal, and its output terminal is connected with the first input terminal of the read-write memory-2317, and a 12-bit ADC574 parallel converter can be selected. The first input terminal of the read-write memory-2317 is connected to the output terminal of the ADC converter-2316, and the second input terminal and the first output terminal are respectively connected to the communication port circuit-2318 for wireless communication with the upper computer. The second output end is connected with 3 groups of sounding modules, the third output end is connected with the sound and light alarm circuit 320, the fourth output end is connected with the data decoding circuit 321, and the read-write memory-2317 can be MCM6264 produced by MOTOROLA; the communication port circuit -2318 built-in communication interface and wireless transmission module, optional RS232 communication interface and long-distance RS232 wireless serial port module (POP2033).

The acoustic signal of the monitored transformer is filtered and converted from analog to digital by the communication port circuit-2318 and wirelessly transmitted to the PC host computer-2. The singularity index is calculated through the program in the PC host computer-2. After the calculation is completed, the result is uploaded to The acoustic signal feature database in the server 2 is compared, and according to the comparison result, the PC host computer-2 issues different instructions to the discharge detection terminal.

If the calculated singularity index is not equal to all the singularity indices in the acoustic signal characteristic database, the comparison result is fed back to the PC host computer-2, and it is judged that there is no internal discharge fault in the monitored transformer, and the PC host computer-2 reads and writes the memory -2317 sends an instruction to continue monitoring the acoustic signal inside the transformer.

Claims (2)

1. an inside transformer discharge fault diagnostic device, it is characterized in that: be made up of 1 fault data collection unit, 1 station server and several Real-Time Monitoring working cells, connect by means of only network between three, and electrical isolation, wherein Real-Time Monitoring working cell quantity is equal with monitored main transformer quantity; 1 fault data collection unit is made up of 1 acoustical signal characteristic acquisition terminal and 1 PC host computer, and adopt radio communication between the two, acoustical signal characteristic acquisition terminal is installed on transformer, and PC host computer is arranged in communication effective range; Number of servers is 1, is arranged in the arbitrary site of equipment O&M department; Corresponding 1 the Real-Time Monitoring working cell of main transformer need be monitored for every 1,1 Real-Time Monitoring working cell is made up of 1 discharge examination terminal and 1 PC host computer, adopt radio communication between the two, discharge examination terminal is installed on transformer, and PC host computer is arranged in communication effective range; All PC host computers are connected with server by network; Described server, has two input ends and an output terminal; First input end receives the information that fault collector unit is uploaded; Second input end then receives the singularity exponents of the discharging sound signal of Real-Time Monitoring unit input; Server output terminal connects Real-Time Monitoring unit.

2. inside transformer discharge fault diagnostic device according to claim 1, it is characterized in that: described fault data collection unit is made up of sensor, analog filter, ADC converter, read-write memory, communication port circuit, PC host computer, power circuit, power circuit is sensor, analog filter, ADC converter, read-write memory, communication port circuit are powered; Sensor input is connected with known fault transformer, and output terminal is connected with analog filter input end; Analog filter input end is connected with sensor output, and its output terminal is connected with ADC switch input; The output terminal of ADC converter is connected with read-write memory input end; Digital signal is carried out wireless telecommunications via communication port and PC host computer by read-write memory, and PC host computer is connected with server.