CN215728535U - Power station abnormal sound recognition device - Google Patents

Power station abnormal sound recognition device Download PDF

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Publication number
CN215728535U
CN215728535U CN202122212496.7U CN202122212496U CN215728535U CN 215728535 U CN215728535 U CN 215728535U CN 202122212496 U CN202122212496 U CN 202122212496U CN 215728535 U CN215728535 U CN 215728535U
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China
Prior art keywords
abnormal sound
box body
hydropower station
working
recognition device
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CN202122212496.7U
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Inventor
向宗辉
于洪波
孙嗣博
左正方
张�杰
吕先军
李慧
付达
梁浩
毛永清
蔚鹏飞
闫立华
彭晓军
郭强
赵潇然
刘政修
孟超
谢正和
张博洋
段立国
赵宁宁
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Beijing Jingneng Clean Energy Power Co ltd Southwest Branch
Beijing Jingneng Energy Technology Research Co ltd
Chengdu Jinhuaneng Electric Power Industry Co ltd
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Beijing Jingneng Clean Energy Power Co ltd Southwest Branch
Beijing Jingneng Energy Technology Research Co ltd
Chengdu Jinhuaneng Electric Power Industry Co ltd
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Application filed by Beijing Jingneng Clean Energy Power Co ltd Southwest Branch, Beijing Jingneng Energy Technology Research Co ltd, Chengdu Jinhuaneng Electric Power Industry Co ltd filed Critical Beijing Jingneng Clean Energy Power Co ltd Southwest Branch
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Abstract

The utility model provides a hydropower station abnormal sound recognition device, which judges whether a working device fails or not by automatically collecting working sound generated when the working device operates. The hydropower station abnormal sound identification device comprises a box body, an abnormal sound collector, a cloud server, an AI chip and a display, wherein the abnormal sound collector is arranged on the inner side of the box body, and the box body is arranged on the working equipment or is placed on the ground close to the working equipment; the outside of box body sets up the fixing base and/or the sucking disc is installed to the bottom of box body, prevents that the box body from removing, makes the sound signal of collecting more accurate. The abnormal sound collector collects sound signals of the working equipment, transmits the signals to the cloud server in any one mode of wired connection, wireless connection or 4G signal transmission, collects information through the AI chip and transmits the information to the display for display. This enables the manager of the hydropower station to know the operating state of the working equipment at the first time and to perform maintenance before the working equipment fails.

Description

Power station abnormal sound recognition device
Technical Field
The utility model relates to the technical field of hydropower station detection, in particular to a hydropower station abnormal sound identification device.
Background
A hydropower station is a factory which converts potential energy and kinetic energy of water into electric energy. The hydropower station generally mainly comprises four major parts, namely a water retaining building, a flood discharge building, a water diversion building and a power station plant, and the power station plant usually needs to regularly detect internal mechanical working equipment in the use process, so that the influence on the work caused by the damage of internal components is avoided.
The conventional hydropower station detection process in the market generally needs manual detection, and in order to consider the personal safety of workers, the operation of the hydropower station needs to be stopped in the detection process. And manual detection is slow, and can influence the normal work of the hydropower station, so the utility model provides the abnormal sound identification device for the hydropower station.
SUMMERY OF THE UTILITY MODEL
The utility model aims to provide a hydropower station abnormal sound identification device, which is stably arranged on the surface of or near hydropower station working equipment to accurately and automatically detect and collect working sound of the working equipment so as to judge whether the hydropower station is abnormal or not, and solve the problems that manual detection is slow and normal work of the hydropower station is influenced.
In order to achieve the purpose, the technical scheme of the utility model is realized as follows:
the utility model provides a power station abnormal sound recognition device, judges through the work sound when detecting the working equipment operation whether the working equipment breaks down, power station abnormal sound recognition device includes box body, abnormal sound collector, cloud ware, AI chip and display, the abnormal sound collector sets up in the inboard of box body, collects the work sound of working equipment to turn into basic characteristic value with the sound data of collecting and transmit to cloud ware, the outside of box body sets up the fixing base and/or the sucking disc is installed to the bottom of box body. Through fixing base and sucking disc, make box body and working equipment connect more firmly, perhaps the box body stabilizes and sets up in near subaerial of working equipment, avoids working equipment vibrations to make the box body remove the skew in the testing process, influences the testing result.
Furthermore, the fixing seat is connected with the working equipment through threads, and the box body is arranged on the surface of the working equipment, so that abnormal sound identification is more accurate.
Furthermore, the output end of the abnormal sound collector is connected with the input end of the cloud server in any mode of wired connection, wireless connection or 4G signal propagation, so that the abnormal sound identification device of the hydropower station can select the propagation mode according to the use scene, the use convenience of the device is facilitated, and the use requirements of different occasions can be met.
Furthermore, the box body is provided with a wiring port, a data transmission line is installed at the wiring port and connected with the input end of the cloud server, and the output end of the abnormal sound collector is connected with the cloud server in a wired mode.
Furthermore, fixing devices are arranged on two sides of the wiring port respectively, and the fixing devices are moved to clamp the data transmission lines. The separation of the data transmission line from the wiring port due to overlarge vibration is avoided, and the working stability and the safety of the hydropower station abnormal sound recognition device are favorably improved.
Further, fixing device includes fixture block and fixed plate along the direction of keeping away from the wiring mouth towards the wiring mouth in proper order, and fixture block and fixed plate pass through the threaded rod and connect. The threaded rod is screwed, so that the threaded rod drives the clamping block to move towards the direction of the wiring port, and the clamping block is clamped and clamped on the data transmission line.
Furthermore, an anti-slip pad is arranged between the clamping block and the data transmission line. Through adding the slipmat, can avoid the fixture block to cause the data transmission line to damage to the in-process of data transmission line joint, also can promote the frictional force of fixture block to the in-process of data transmission line joint simultaneously.
Furthermore, a rotating seat is arranged on the outer side of the box body, the rotating seat is connected with the antenna rod in a rotating mode, and the antenna rod is wirelessly connected with the input end of the cloud server. By screwing the antenna rod, the antenna rod rotates through the rotating seat and transmits signals to the designated direction.
Furthermore, an SIM module is arranged in the box body, and the SIM module is connected with the input end of the cloud server in a 4G signal transmission mode, so that the output end of the abnormal sound collector is connected with the 4G signal transmission of the cloud server.
Further, the output end of the cloud server is electrically connected with the AI chip, and the AI chip is electrically connected with the display. After the AI chip reads the sound signal, the wave frequency of the sound can be analyzed and brought into a noise characteristic value system table, and the running state of the working equipment is accurately analyzed. The AI chip can also gather the information of reading to transmit and show on 13 displays, make things convenient for the managers of power station directly perceived, convenient operation state of knowing the equipment.
Compared with the prior art, the hydropower station abnormal sound identification device has the following advantages:
(1) the box body is arranged on the surface of or near the working equipment, and the working sound of the working equipment is accurately detected and collected through the hydropower station abnormal sound recognition device, so that whether the hydropower station is abnormal or not is judged, and the labor is saved;
(2) the hydropower station abnormal sound identification device disclosed by the utility model supports wired, wireless and 4G signal propagation modes, so that the device can select the propagation mode according to the use scene, and the use convenience of the device is improved;
(3) the AI chip of the hydropower station abnormal sound recognition device is adaptive to an artificial intelligence algorithm for machine learning, and can load a filtering interference algorithm according to a field environment, and the AI chip can apply model recognition and a matching algorithm in a complex scene, so that the reading accuracy of sound by the AI chip can be improved, after the AI chip reads a sound signal, the wave frequency of the sound can be analyzed and brought into a noise characteristic value system table for comparison, the running state of the working equipment can be accurately analyzed, the AI chip can collect the read information and transmit the information to a display for display, and therefore managers of the hydropower station can know the running state of the working equipment at the first time and overhaul the working equipment before the working equipment breaks down.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the utility model and, together with the description, serve to explain the utility model and not to limit the utility model. In the drawings:
fig. 1 is a schematic structural diagram of a hydropower station abnormal sound identification device according to the present invention;
fig. 2 is a front view of a hydropower station abnormal sound recognition apparatus according to the present invention;
fig. 3 is a schematic view of a work flow of the abnormal sound recognition device for the hydropower station according to the present invention;
fig. 4 is a schematic diagram illustrating a frictional fault of the abnormal noise recognition apparatus for a hydroelectric power station according to the present invention;
fig. 5 is a schematic diagram showing a loosening fault of the abnormal sound recognition device for the hydropower station.
Description of reference numerals:
1. a box body; 2. a rotating seat; 3. an antenna mast; 4. a wiring port; 5. a fixing device; 501. a fixing plate; 502. a threaded rod; 503. a clamping block; 504. a non-slip mat; 6. a fixed seat; 601. a first bent portion; 602. a second bent portion; 7. fixing the bolt; 8. a suction cup; 9. a working device; 10. an abnormal sound collector; 11. a cloud server; 12. an AI chip; 13. a display.
Detailed Description
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings. The described embodiments of the present invention are exemplary, are intended to be illustrative of the present invention, and are not to be construed as limiting the present invention.
It should be noted that the terms "upper", "lower", "left", "right", "front", "rear", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
A hydropower station abnormal sound recognition device is used for automatically detecting the running state of working equipment 9 of a hydropower station, and judging whether the working equipment 9 breaks down or not by detecting the working sound when the working equipment 9 runs. As shown in fig. 1 to 3, the hydropower station abnormal sound recognition apparatus includes a box 1, an abnormal sound collector 10, a cloud server 11, an AI chip 12, and a display 13, wherein the abnormal sound collector 10 is disposed inside the box 1, the box 1 is disposed on a working device 9, or the box 1 is placed on the ground near the working device 9; the outside of box body 1 sets up fixing base 6 and/or the sucking disc 8 is installed to the bottom of box body 1. When the hydropower station abnormal sound identification device detects the working sound of the working equipment 9, the abnormal sound collector 10 can collect the sound data of the working equipment 9. For more accurate collection of the sound data, the cartridge 1 is placed against the working device 9. The case 1 may be disposed on the surface of the working device 9, or the case 1 may be placed on the ground near the working device 9. Specifically, a fixing seat 6 is arranged outside the box body 1, the fixing seat 6 is connected with the working equipment 9 through threads, and the box body 1 is arranged on the surface of the working equipment 9. Specifically, through the surface at fixing base 6 and equipment 9 twists fixing bolt 7, avoid among the testing process equipment 9 vibrations to make box body 1 and equipment 9 separate, influence the testing result. Further, in order to improve the installation stability of the box body 1, the fixing seats 6 are symmetrically arranged on two sides of the box body 1. The fixing base 6 is L-shaped and includes a first bending portion 601 and a second bending portion 602. The first bending part 601 is connected with the outer side of the box body 1, and the fixing seat 6 is positioned on the box body 1. The second bent portion 602 and the working device 9 are connected by a screw. In addition, when a plurality of working devices 9 need to be detected, or the temperature of the detected working devices 9 is high or the working devices 9 are not easy to fix through the fixing bolts 7, the box body 1 is placed on the ground close to the working devices 9 for abnormal sound identification and detection. The sucking disc 8 through box body 1 bottom adsorbs ground for abnormal sound recognition device also can remain stability when placing on ground, reduces the skew circumstances of removing of box body 1 that arouses because of the vibrations of working equipment 9 or other circumstances. The fixing seat 6 and the sucking disc 8 are beneficial to enabling the abnormal sound identification device to be suitable for different placing scenes, and detection accuracy and stability are improved. The box body 1 is made of hard plastic materials, so that the hydropower station abnormal sound recognition device has high stability and low weight.
The output end of the abnormal sound collector 10 is connected with the input end of the cloud server 11 through any one of wired connection, wireless connection or 4G signal transmission. The output end of the cloud server 11 is electrically connected to the AI chip 12, and the AI chip 12 is electrically connected to the display 13. After the box body 1 is placed, the abnormal sound collector 10 can collect the working sound of the working equipment 9 and convert the collected sound data into a basic characteristic value. The basic characteristic value can be transmitted to the cloud server 11 and then read by the AI chip 12. The AI chip 12 summarizes the read information and transmits it to the display 13 for display. It is prior art to convert the collected sound data into basic feature values and to read the basic feature values by the AI chip 12, and details thereof are not described herein.
Box body 1 can set up wiring mouth 4, 4 departments of wiring install data transmission line, and data transmission line and cloud server 11's input are connected, realize abnormal sound collector 10 and cloud server 11's wired connection. Specifically, as shown in fig. 2, fixing devices 5 are respectively disposed on both sides of the wire connection port 4. In use, the fixing means 5 can be moved in a direction towards the connection opening 4, thereby clamping the data transmission line. When the working sound of the working equipment 9 is detected and collected, the working equipment 9 is prevented from vibrating to separate the data transmission line from the wiring port 4 due to vibration. Further, the fixing device 5 comprises a fixture block 503 and a fixing plate 501 in sequence along the direction from the wire connection port 4 to the direction away from the wire connection port 4, and the fixture block 503 and the fixing plate 501 are connected through a threaded rod 502. The fixing plate 501 and the box body 1 are integrally formed or separately connected. Preferably, the fixing plate 501 and the case 1 are integrally formed, which can reduce assembly in the production process. The threaded rod 502 and the clamping block 503 are connected together by welding, bonding, clamping and the like. The fixing plate 501 is screwed with the threaded rod 502. By screwing the threaded rod 502, the threaded rod 502 can drive the fixture block 503 to move towards the wire connection port 4, and the fixture block 503 can clamp and clamp the data transmission line. Further, a rubber anti-slip pad 504 is disposed between the clamping block 503 and the data transmission line, and the anti-slip pad 504 and the clamping block 503 are connected together by welding, bonding, clamping, and the like. By adding the anti-slip pad 504, the damage of the data transmission line caused by the clamping of the clamping block 503 on the data transmission line can be avoided, and meanwhile, the friction force of the clamping block 503 on the data transmission line in the clamping process can also be improved. Through the joint of fixture block 503, can avoid the in-process of box body 1 laminating equipment 9 surface test vibrations, data transmission line takes place the separation because of vibrations are too big with wiring mouth 4, is favorable to promoting power station abnormal sound recognition device's job stabilization nature and security. The data transmission line transmits the signal of the abnormal sound collector 10 to the cloud server 11, and then is read by the AI chip 12, and the result is displayed on the display 13.
The box body 1 can be provided with the antenna rods 3, the basic characteristic values are transmitted to the cloud server 11 through the antenna rods 3 in a wireless mode, and wireless connection of the abnormal sound collector 10 and the cloud server 11 is achieved. Specifically, the outer side of the box body 1 is provided with a rotating seat 2, and the rotating seat 2 is rotatably connected with the antenna rod 3. By screwing the antenna rod 3, the antenna rod 3 rotates through the rotating base 2 and transmits signals to a designated direction. The box body 1 is connected with the rotating seat 2 in a clamping way. The antenna mast 3 can wirelessly propagate the signal of the abnormal sound collector 10, transmit the signal to the cloud server 11, then read by the AI chip 12, and display the result on the display 13.
The box body 1 may be internally provided with a SIM module, and the SIM module performs 4G signal propagation on the signal of the abnormal sound collector 10, transmits the signal to the cloud server 11, and then is read by the AI chip 12, and displays the result on the display 13.
Through any one of wired connection, wireless connection or 4G signal propagation, the signal transmission of abnormal sound collector 10 to cloud server 11 makes the power station abnormal sound recognition device of this application can select the propagation mode according to the use scene, and this is favorable to the use convenience of hoisting device, can satisfy the user demand of different occasions.
The AI chip 12 is adapted to an artificial intelligence algorithm for machine learning, and can load a filtering interference algorithm according to a field environment, and the AI chip 12 can apply a model recognition and matching algorithm in a complex scene, so that the reading accuracy of the AI chip 12 on sound can be improved, and after the AI chip 12 reads a sound signal, the wave frequency of the sound can be analyzed and brought into a noise characteristic value system table for comparison, as shown in fig. 4 and 5, the running state of the working equipment 9 can be accurately analyzed, and a manager can be helped to judge whether the working equipment 9 is abnormal according to the working sound. Fig. 4 is a schematic representation of the abnormal noise recognition device of the hydropower station when the working equipment 9 has a friction fault; fig. 5 is a schematic representation of the abnormal sound recognition device of the hydropower station when the working equipment 9 has a loosening fault. AI chip 12 can also gather the information of reading to transmit and show on display 13, this makes the managers of power station can know the running state of equipment 9 the very first time, and overhauls before equipment 9 breaks down, and this can remove conventional personnel's inspection formula from and overhaul, and this can reduce the management degree of difficulty of power station, also can promote the job stabilization nature of power station simultaneously.
The application method of the hydropower station abnormal sound identification device comprises the following steps:
the box body 1 is placed on the surface of the working equipment 9, the fixing bolt 7 is screwed into the outer surface of the working equipment 9 by screwing the fixing bolt 7 into the top of the fixing seat 6, so that the box body 1 can be in threaded connection with the working equipment 9, and the box body 1 is prevented from being separated from the working equipment 9 in the placing process; when a plurality of working devices 9 need to be detected or the detected working devices 9 have high temperature, the box body 1 can be placed on the ground close to the working devices 9 for abnormal sound detection, the sucking discs 8 at the bottom of the box body 1 can adsorb the ground, so that the stability of the device can be kept when the device is placed on the ground, and the placing scene and the detection stability of the device are improved by the auxiliary fixation of the fixing seat 6 and the sucking discs 8 on the box body 1;
insert data transmission line in wiring mouth 4 department, through twisting threaded rod 502, enable threaded rod 502 to drive fixture block 503 and remove to wiring mouth 4's direction to make fixture block 503 carry out the joint to data transmission line, avoid the in-process of the 1 laminating equipment 9 surface test vibrations of box body, data transmission line takes place the separation because of vibrations are too big with wiring mouth 4, this job stabilization nature that is favorable to lifting means. After the box body 1 is placed, the abnormal sound collector 10 can collect the working sound of the working equipment 9, then the collected sound data is converted into a basic characteristic value, and the basic characteristic value is transmitted to the cloud server 11 through a data transmission line in a wired mode for comparison; or the antenna rod 3 is arranged on the box body 1, after the box body 1 is placed, the abnormal sound collector 10 can collect the working sound of the working equipment 9, then the collected sound data is converted into a basic characteristic value, and the basic characteristic value is wirelessly transmitted to the cloud server 11 through the antenna rod 3 for comparison; or the inside of the box body 1 can be provided with an SIM module, after the box body 1 is placed, the abnormal sound collector 10 can collect the working sound of the working equipment 9, then the collected sound data is converted into a basic characteristic value, and the basic characteristic value is transmitted to the cloud server 11 through the SIM module in a 4G signal propagation mode for comparison.
The data uploaded to the cloud server 11 can be read by the AI chip 12, machine learning is performed by the AI chip 12 adaptive to the artificial intelligence algorithm, the interference filtering algorithm can be loaded according to the site environment, the AI chip 12 can use model identification and matching algorithm in a complex scene, so that the reading accuracy of the AI chip 12 on sound can be improved, and after the AI chip 12 reads a sound signal, the wave frequency of the sound can be analyzed and brought into a noise characteristic value system table to be compared, and then the running state of the working equipment 9 can be accurately analyzed.
The AI chip 12 can gather the information of reading at last to transmit and show on the display 13, this makes the managers of power station can know the running state of equipment 9 in the very first time, and overhauls before equipment 9 breaks down, and this can remove conventional personnel's inspection formula from and overhaul, and this can reduce the management degree of difficulty of power station, also can promote the job stabilization of power station simultaneously.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the utility model, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (10)

1. The utility model provides a power station abnormal sound recognition device, its characterized in that judges through the work sound when detecting equipment (9) operation whether equipment (9) break down, power station abnormal sound recognition device includes box body (1), abnormal sound collector (10), cloud ware (11), AI chip (12) and display (13), abnormal sound collector (10) set up in the inboard of box body (1), collect the work sound of equipment (9) to the sound data who will collect turns into basic characteristic value and transmits to cloud ware (11), the outside of box body (1) sets up fixing base (6) and/or sucking disc (8) are installed to the bottom of box body (1).
2. The hydropower station abnormal sound recognition device according to claim 1, wherein the fixed seat (6) is connected with the working equipment (9) through a thread, and the box body (1) is arranged on the surface of the working equipment (9).
3. The hydropower station abnormal sound identification device according to claim 1, wherein an output end of the abnormal sound collector (10) is connected with an input end of the cloud server (11) through any one of wired connection, wireless connection or 4G signal propagation.
4. The hydropower station abnormal sound identification device according to claim 3, wherein the box body (1) is provided with a wiring port (4), a data transmission line is arranged at the wiring port (4), and the data transmission line is connected with an input end of the cloud server (11).
5. A hydropower station abnormal sound identification device according to claim 4, wherein fixing devices (5) are respectively arranged on two sides of the wiring port (4), and the fixing devices (5) are moved to clamp the data transmission line in a clamping manner.
6. The hydropower station abnormal sound identification device according to claim 5, wherein the fixing device (5) comprises a clamping block (503) and a fixing plate (501) in sequence along a direction from the wiring port (4) to a direction away from the wiring port (4), and the clamping block (503) and the fixing plate (501) are connected through a threaded rod (502).
7. The hydropower station abnormal sound recognition device according to claim 6, wherein an anti-slip pad (504) is arranged between the clamping block (503) and the data transmission line.
8. A hydropower station abnormal sound recognition device according to claim 3, wherein a rotating seat (2) is arranged on the outer side of the box body (1), the rotating seat (2) is rotatably connected with the antenna rod (3), and the antenna rod (3) is wirelessly connected with the input end of the cloud server (11).
9. The hydropower station abnormal sound recognition device according to claim 3, wherein a SIM module is arranged in the box body (1), and the SIM module is connected with an input end of the cloud server (11) in a 4G signal propagation mode.
10. The hydropower station abnormal sound recognition device according to claim 1, wherein an output end of the cloud server (11) is electrically connected with the AI chip (12), and the AI chip (12) is electrically connected with the display (13).
CN202122212496.7U 2021-09-14 2021-09-14 Power station abnormal sound recognition device Active CN215728535U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202122212496.7U CN215728535U (en) 2021-09-14 2021-09-14 Power station abnormal sound recognition device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202122212496.7U CN215728535U (en) 2021-09-14 2021-09-14 Power station abnormal sound recognition device

Publications (1)

Publication Number Publication Date
CN215728535U true CN215728535U (en) 2022-02-01

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Application Number Title Priority Date Filing Date
CN202122212496.7U Active CN215728535U (en) 2021-09-14 2021-09-14 Power station abnormal sound recognition device

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