Abnormal sound recognition and detection device for high-voltage equipment of transformer substation

Abstract

The utility model relates to the technical field of transformer substation high-voltage equipment detection, and discloses a transformer substation high-voltage equipment abnormal sound recognition and detection device which comprises a voiceprint recognition assembly, an ozone detection assembly, a partial discharge detection assembly and a detection device body. The detection device main body comprises a device shell and a circuit mainboard mounted in the device shell, and a microprocessor is mounted on the circuit mainboard; the voiceprint recognition assembly comprises an array microphone which can be installed on the high-voltage equipment of the transformer substation, and a sound processing module, a feature extraction module and a mode recognition module which are installed on the circuit mainboard. The ozone detection assembly is an ozone sensor, and the partial discharge detection assembly is an air type ultrasonic partial discharge sensor which can be installed on high-voltage equipment of a transformer substation. According to the abnormal sound recognition and detection device for the high-voltage equipment of the transformer substation, various technologies such as sound recognition, ozone recognition and partial discharge test data recognition are integrated, multi-dimensional detection of the state of the high-voltage equipment is achieved, and the accuracy and reliability of fault recognition are improved.

Description

Technical Field

[0001] The utility model relates to the technical field of substation high-voltage equipment detection, in particular to an abnormal sound recognition and detection device for substation high-voltage equipment. Background Technique

[0002] With the continuous growth of power demand, the requirements for the safe operation and reliability of substations are also getting higher and higher. Regular inspection and maintenance, as an important part of substation management, can timely detect and handle potential safety hazards, prevent faults from occurring, and ensure the stable operation of the power system. However, when substation operation and maintenance personnel enter various high-voltage areas of the substation, such as high-voltage equipment areas, GIS rooms, high-voltage distribution rooms, etc., they often hear abnormal sounds from electrical equipment or smell pungent ozone smells. The current detection instruments cannot distinguish whether the abnormal phenomena of the equipment are caused by electrical quantity faults or non-electrical quantity faults. When operation and maintenance personnel approach the faulty equipment for inspection and verification, there is a risk to personal safety. They can only judge the nature of the equipment abnormal phenomena and the fault points based on experience, which often leads to two consequences. One is that inaccurate judgment causes an expansion of the equipment power outage range, affecting power supply reliability; the other is that the nature of the equipment fault cannot be effectively judged, resulting in the equipment running with "diseases" for a long time, and ultimately leading to equipment damage and even endangering the life safety of operation and maintenance personnel.

[0003] With the rapid development of the power industry, the operation status monitoring and fault diagnosis technology of substation high-voltage equipment has gradually become a research hotspot. The traditional manual inspection method is not only inefficient, but also endangers the personal safety of operation and maintenance personnel and is difficult to discover potential equipment hidden dangers. Therefore, it is of great practical significance and application value to develop a device that can detect and accurately identify abnormal sounds of high-voltage equipment in real time. Content of the Utility Model

[0004] In view of the above problems, the utility model proposes an abnormal sound recognition and detection device for substation high-voltage equipment. The device combines multiple technologies such as sound recognition, ozone recognition, and partial discharge test data recognition, realizes multi-dimensional detection of the state of high-voltage equipment, and improves the accuracy and reliability of fault recognition.

[0005] The technical solution adopted by the utility model is as follows:

[0006] An abnormal sound recognition and detection device for substation high-voltage equipment, the abnormal sound recognition and detection device for substation high-voltage equipment includes a voiceprint recognition component, an ozone detection component, a partial discharge detection component, and a detection device main body;

[0007] The main body of the detection device includes a device housing and a circuit main board installed inside the device housing. A microprocessor is installed on the circuit main board. The voiceprint recognition component includes an array microphone that can be installed on high-voltage equipment in a substation, and a voice processing module, a feature extraction module, and a pattern recognition module installed on the circuit main board. The array microphone is connected to the voice processing module on the circuit main board through a transmission line passing through the device housing. The voice processing module is connected to the feature extraction module for information transmission through the circuit main board, and the feature extraction module is connected to the microprocessor for information transmission through the circuit main board.

[0008] The ozone detection component is an ozone sensor, and the partial discharge detection component is an air-type ultrasonic partial discharge sensor that can be installed on high-voltage equipment in a substation. The ozone sensor and the air-type ultrasonic partial discharge sensor are connected to the microprocessor on the circuit main board through a transmission line passing through the device housing.

[0009] Furthermore, a lithium battery is installed inside the device housing. The lithium battery is connected to the circuit main board to supply power to the voice processing module, the feature extraction module, the pattern recognition module, and the microprocessor.

[0010] Furthermore, an audible and visual alarm is installed on the top of the device housing. The audible and visual alarm is connected to the microprocessor on the circuit main board through a transmission line passing through the device housing.

[0011] Furthermore, a 2.4G wireless communication interface is provided on the device housing. The 2.4G wireless communication interface is wired to the circuit main board. An antenna can be installed through the 2.4G wireless communication interface. The array microphone is wirelessly connected to the voice processing module on the circuit main board through the antenna, and the ozone sensor and the air-type ultrasonic partial discharge sensor are wirelessly connected to the microprocessor on the circuit main board through the antenna.

[0012] Furthermore, a USB host mode interface is provided on the device housing. The USB host mode interface is wired to the circuit main board. The USB host mode interface is connected to the lithium battery through the circuit main board. The USB host mode interface can access a USB connection cable, and the lithium battery can be charged by connecting to the mains through the USB connection cable.

[0013] Furthermore, a spare USB interface is also provided on the device housing.

[0014] Furthermore, the array microphone, the ozone sensor, and the air-type ultrasonic partial discharge sensor are all installed on high-voltage equipment in a substation. The ozone sensor is installed outside the high-voltage equipment in the substation and is located at the heat dissipation holes of the equipment. The array microphone and the air-type ultrasonic partial discharge sensor are installed on the high-voltage equipment in the substation and extend into the interior of the high-voltage equipment in the substation.

[0015] The beneficial effects of the present utility model are:

[0016] 1. Multi-dimensional monitoring:

[0017] The abnormal sound recognition and detection device for high-voltage equipment in this substation integrates multiple technologies such as sound recognition, ozone recognition, and partial discharge test data recognition, realizing multi-dimensional detection of the state of high-voltage equipment and improving the accuracy and reliability of fault recognition.

[0018] 2. Real-time performance:

[0019] The abnormal sound recognition and detection device for high-voltage equipment in this substation can timely detect the voiceprint, ozone content, and partial discharge data during the operation of high-voltage equipment according to the on-site requirements and give an alarm, promptly discover potential safety hazards, and provide timely warning information for operation and maintenance personnel.

[0020] 3. Intelligence:

[0021] The abnormal sound recognition and detection device for high-voltage equipment in this substation can automatically identify abnormal sounds and partial discharge signals, reducing the workload of operation and maintenance personnel and improving work efficiency.

[0022] 4. Application prospects:

[0023] The abnormal sound recognition and detection device for high-voltage equipment in this substation provides a new technical means for the operation safety and stability of the power industry. This device can be widely applied to the monitoring of high-voltage equipment in various substations to realize real-time detection and early warning of abnormal equipment sounds. By promptly discovering and handling equipment failures, the risk of equipment damage and power outages can be effectively reduced, improving the reliability and economy of the power system. Brief description of the drawings

[0024] Figure 1 It is a three-dimensional structure schematic diagram of the abnormal sound recognition and detection device of the present utility model;

[0025] Figure 2 It is a schematic diagram of the connection between the circuit main board and the interface of the abnormal sound recognition and detection device of the present utility model;

[0026] Figure 3 It is a schematic diagram of the usage state of the abnormal sound recognition and detection device of the present utility model;

[0027] In the figure: 1. Device shell; 2. Circuit main board; 3. Microprocessor; 4. Array microphone; 5. Sound processing module; 6. Feature extraction module; 7. Pattern recognition module; 8. Ozone sensor; 9. Airborne ultrasonic partial discharge sensor; 10. Lithium battery; 11. Acousto-optic alarm; 12. 2.4G wireless communication interface; 13. Antenna; 14. USB host mode interface; 15. Spare USB interface; 16. High-voltage switchgear cabinet. Detailed implementation manners

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0029] In view of the fact that the traditional manual inspection method is not only inefficient, but also endangers the personal safety of operation and maintenance personnel and is difficult to detect potential equipment hidden dangers. Therefore, this embodiment provides a device for identifying and detecting abnormal sounds of high-voltage equipment in a substation. The device for identifying and detecting abnormal sounds of high-voltage equipment in a substation includes a voiceprint recognition component, an ozone detection component, a partial discharge detection component, and a main body of the detection device. As Figure 1 shown, the main body of the detection device includes a device housing 1 and a circuit main board 2 installed inside the device housing 1. A microprocessor 3 is installed on the circuit main board 2. The microprocessor 3 can be, for example, a Siemens programmable controller 6ES7515-2AMO2-OABO, which is used to process the detection data of the voiceprint recognition component, the ozone detection component, and the partial discharge detection component and issue control instructions. The main body of the detection device is powered by a lithium battery 10. A lithium battery 10 is installed inside the device housing 1, and the lithium battery 10 is connected to the circuit main board 2 to supply power to the sound processing module 5, the feature extraction module 6, the pattern recognition module 7, and the microprocessor 3. Of course, a power module connected to the circuit main board 2 can also be added to supply power by accessing the commercial power through the power module.

[0030] As Figure 1 and Figure 2 shown, the voiceprint recognition component includes an array microphone 4 that can be installed on high-voltage equipment in a substation, and a sound processing module 5, a feature extraction module 6, and a pattern recognition module 7 installed on the circuit main board 2.

[0031] Among them, the array microphone 4 is connected to the sound processing module 5 on the circuit main board 2 through a transmission line passing through the device housing 1. The array microphone 4 can be, for example, an intelligent array microphone manufactured by Hangsu Electronics, which is used to collect the operating sounds of high-voltage equipment in a substation in real time.

[0032] The array microphone 4 is connected to the sound processing module 5 on the circuit main board 2 through a transmission line passing through the device housing 1. The sound processing module 5 uses a Zhonghui Weiye ZH-A4-V2.0 intelligent audio noise reduction module, which is used to perform denoising, filtering, and enhancement processing on the collected operating sound signals of high-voltage equipment in a substation.

[0033] The sound processing module 5 is connected to the feature extraction module 6 for information transmission through the circuit board 2; the feature extraction module 6 can adopt a RIGOL spectrum analyzer to extract the characteristic parameters reflecting the device state from the processed sound signal and the pattern recognition module 7.

[0034] The pattern recognition module 7 can adopt the NI PXIe-1085 module to identify the characteristic parameters and transmit the recognition result to the microprocessor 3.

[0035] As Figure 1 and Figure 2 shown, the ozone detection component is the ozone sensor 8, and the partial discharge detection component is the air-type ultrasonic partial discharge sensor 9. The ozone sensor 8 and the air-type ultrasonic partial discharge sensor 9 are connected to the microprocessor 3 on the circuit board 2 through the transmission line passing through the device housing 1. The ozone sensor 8 can adopt the ozone detection sensor manufactured by Suzhong Hongrui to collect the ozone concentration data in the external air of the substation high-voltage equipment in real time; the air-type ultrasonic partial discharge sensor 9 can adopt the Keyence FW series digital ultrasonic sensor to collect the partial discharge signals of the substation high-voltage equipment in real time.

[0036] The working principle of the abnormal sound recognition and detection device for the substation high-voltage equipment is as follows:

[0037] Taking the high-voltage switchgear as an example for the substation high-voltage equipment, as Figure 3 shown, the array microphone 4, the ozone sensor 8 and the air-type ultrasonic partial discharge sensor 9 are all installed on the high-voltage switchgear 16. Specifically, the ozone sensor 8 is installed outside the substation high-voltage equipment; holes are drilled on the side of the cabinet body of the high-voltage switchgear 16, and the array microphone 4 and the air-type ultrasonic partial discharge sensor 9 are installed on the substation high-voltage equipment and extend into the substation high-voltage equipment. At this time, start the abnormal sound recognition and detection device for the substation high-voltage equipment, and the abnormal sound recognition and detection work of the high-voltage switchgear 16 can be carried out in real time.

[0038] Sound recognition during the detection process: The array microphone 4 collects the running sound of the high-voltage switchgear 16 in real time. The running sound signal is denoised, filtered and enhanced by the sound processing module 5, and then the characteristic parameters reflecting the device state are extracted by the feature extraction module 6; the pattern recognition module 7 identifies based on the frequency of the characteristic parameters: if the frequency of the characteristic parameters is between 0 and 20 kHz, it is the interference signal frequency; if it is below 10 kHz, it is the vibration and background noise signal frequency; if it is greater than or equal to 100 Hz, there is equipment abnormality, such as the noise generated by magnetostriction and the noise caused by DC bias will exceed 100 Hz; the pattern recognition module 7 transmits the recognition result to the microprocessor 3, and the microprocessor 3 determines whether there is equipment abnormality based on the recognition result.

[0039] Ozone identification during the detection process: The ozone sensor 8 collects the ozone concentration data in the external air of the high-voltage switchgear cabinet 16 in real time. During the operation of high-voltage equipment, there is a potential risk of partial discharge in the equipment, such as corona discharge, tip discharge, and arc of the equipment, which ionizes oxygen molecules in the air to form ozone molecules, generating a large number of high-energy electrons and free radicals. These particles react with oxygen in the air, producing the decomposition product "ozone". The microprocessor 3 compares the real-time ozone concentration data with the safety threshold to determine whether there is equipment abnormality. Based on the ozone identification principle, the ozone sensor 8 is preferably located at the heat dissipation hole of the high-voltage switchgear cabinet 16.

[0040] Partial discharge test data identification during the detection process: The air ultrasonic partial discharge sensor 9 collects the partial discharge signals of the high-voltage switchgear cabinet 16 in real time. Partial discharge is one of the common fault types of high-voltage equipment. When the high-voltage equipment discharges, due to excessive electric field strength or degraded insulation performance, charges will break through the insulation layer and discharge. During the discharge process, the movement, collision, and ionization of charges will emit specific sounds, accompanied by the generation of partial discharge. Affected by the internal and external environment, if the partial discharge is not controlled, insulation breakdown may occur, and even a short-circuit explosion accident of the high-voltage equipment may be triggered. The microprocessor 3 compares the real-time collected partial discharge signals with the safety threshold to determine whether there is equipment abnormality.

[0041] Furthermore, as a preferred technical solution of this embodiment, as Figure 1 , Figure 2 and Figure 3 shown, there are three USB interfaces on the device housing 1 of this embodiment, namely the USB host mode interface 14, the 2.4G wireless communication interface 12, and the spare USB interface 15. Among them, the USB host mode interface 14 is wired to the circuit board 2. The USB host mode interface 14 is connected to the lithium battery 10 through the circuit board 2. The USB host mode interface 14 can access a USB connection cable, and the lithium battery 10 can be charged by connecting to the mains through the USB connection cable. The 2.4G wireless communication interface 12 is wired to the circuit board 2. An antenna 13 can be installed through the 2.4G wireless communication interface 12. The array microphone 4 is wirelessly connected to the sound processing module 5 on the circuit board 2 through the antenna 13. The ozone sensor 8 and the air ultrasonic partial discharge sensor 9 are wirelessly connected to the microprocessor 3 on the circuit board 2 through the antenna 13, making the installation of each sensor more convenient. The spare USB interface 15 is used for data export.

[0042] Even further, as a preferred technical solution of this embodiment, in order to notify the operation and maintenance personnel visually and audibly when there is an abnormality in the high-voltage equipment of the substation, as Figure 1 and Figure 3As shown in the figure, in this embodiment, an audible and visual alarm 11 is installed on the top of the device housing 1. The audible and visual alarm 11 is connected to a microprocessor 3 on a circuit main board 2 through a transmission line passing through the device housing 1. The audible and visual alarm 11 can be, for example, the Hangya YS-1502 type audible and visual alarm 11. When the microprocessor 3 determines that the device is abnormal, it sends a control instruction to the audible and visual alarm 11 to make it give an audible and visual alarm.

[0043] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes should be covered within the protection scope of the present invention.

Claims

1. An abnormal sound recognition and detection device for high-voltage equipment in a substation, characterized in that: The abnormal sound recognition and detection device for high-voltage equipment in the substation includes a voiceprint recognition component, an ozone detection component, a partial discharge detection component, and a main body of the detection device; The main body of the detection device includes a device housing and a circuit main board installed inside the device housing, and a microprocessor is installed on the circuit main board; the voiceprint recognition component includes an array microphone that can be installed on the high-voltage equipment in the substation, and a voice processing module, a feature extraction module, and a pattern recognition module installed on the circuit main board; the array microphone is connected to the voice processing module on the circuit main board through a transmission line passing through the device housing, the voice processing module is connected to the feature extraction module for information transmission through the circuit main board, and the feature extraction module is connected to the microprocessor for information transmission through the circuit main board; The ozone detection component is an ozone sensor, and the partial discharge detection component is an air-type ultrasonic partial discharge sensor that can be installed on the high-voltage equipment in the substation. The ozone sensor and the air-type ultrasonic partial discharge sensor are connected to the microprocessor on the circuit main board through a transmission line passing through the device housing.

2. The abnormal sound recognition and detection device for high-voltage equipment in a substation according to claim 1, wherein: A lithium battery is installed inside the device housing, and the lithium battery is connected to the circuit main board to supply power to the voice processing module, the feature extraction module, the pattern recognition module, and the microprocessor.

3. The abnormal sound recognition and detection device for high-voltage equipment in a substation according to claim 1, characterized in that: An audible and visual alarm is installed on the top of the device housing, and the audible and visual alarm is connected to the microprocessor on the circuit main board through a transmission line passing through the device housing.

4. The abnormal sound recognition and detection device for high-voltage equipment in a substation according to claim 1, wherein: A 2.4G wireless communication interface is provided on the device housing, and the 2.4G wireless communication interface is connected to the circuit main board by wire; an antenna can be installed through the 2.4G wireless communication interface, and the array microphone is wirelessly connected to the voice processing module on the circuit main board through the antenna, and the ozone sensor and the air-type ultrasonic partial discharge sensor are wirelessly connected to the microprocessor on the circuit main board through the antenna.

5. The abnormal sound recognition and detection device for high-voltage equipment in a substation according to claim 2, wherein: A USB host mode interface is provided on the device housing, and the USB host mode interface is connected to the circuit main board by wire. The USB host mode interface is connected to the lithium battery through the circuit main board. The USB host mode interface can access a USB connection line, and the lithium battery can be charged by accessing the mains through the USB connection line.

6. The abnormal sound recognition and detection device for high-voltage equipment in a substation according to claim 1, characterized in that: A spare USB interface is also provided on the device housing.

7. The abnormal sound recognition and detection device for high-voltage equipment in a substation according to claim 1, characterized in that: The array microphone, the ozone sensor, and the air-type ultrasonic partial discharge sensor are all installed on the high-voltage equipment in the substation; the ozone sensor is installed outside the high-voltage equipment in the substation and is located at the heat dissipation hole of the equipment; the array microphone and the air-type ultrasonic partial discharge sensor are installed on the high-voltage equipment in the substation and extend into the high-voltage equipment in the substation.

Images