CN212111619U - Transmission line lightning protection facility fault detection equipment based on Internet of things and artificial intelligence - Google Patents
Transmission line lightning protection facility fault detection equipment based on Internet of things and artificial intelligence Download PDFInfo
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Abstract
The utility model discloses a transmission line lightning protection facility fault detection device based on the Internet of things and artificial intelligence, which belongs to the technical field of power equipment detection and comprises a detection module for receiving the operation data of the lightning protection facility, a first image acquisition module arranged at the lightning protection facility, a second image acquisition module arranged on an inspection unmanned aerial vehicle, a display module arranged at the far end and a data repeater for transmitting the display data to the display module; the data repeater is in communication connection with the detection module, the first image acquisition module and the second image acquisition module. The utility model firstly detects and uploads the equipment fault data of the lightning protection facility through the terminal of the internet of things; secondly, the existing image recognition technology is utilized to help to verify or mark potential or obvious defect faults of the lightning protection facility; in addition, to the lightning protection facility that is not convenient for use fixed camera device to shoot, discern trouble facility through the second image acquisition module that current patrol line unmanned aerial vehicle carried.
Description
Technical Field
The utility model belongs to the technical field of power equipment detects, especially, relate to a lightning-arrest facility fault detection equipment.
Background
Can produce great thunderbolt electric current when the thunder and lightning takes place, probably damage power equipment, in order to reduce the loss that the thunder and lightning caused, except that needing lightning protection equipment to protect, lightning protection equipment mainly includes arrester, overvoltage protector etc. that set up on transformer substation and transmission line. However, in the operation process of the lightning protection device, the lightning protection device may break down due to the aging of the device or the current generated by lightning stroke exceeding the bearing range of the lightning protection device, and if the failure is not found to be solved in time, the power device may be lost. Generally, the lightning protection equipment is detected whether to break down by three modes of live detection, online real-time monitoring and regular power failure maintenance, the live detection needs direct detection by workers, and some high-voltage or ultrahigh-voltage power equipment is dangerous; on-line real-time monitoring needs to send detection data to a monitoring center through a network, and is judged by monitoring workers, so that the energy consumption of real-time monitoring is high, and the monitoring cost is high; the regular power failure maintenance is difficult to find the fault in time.
Chinese patent CN209821303U discloses a lightning protection device detection system, which includes: a field detection device and a fault indication device; the field detection device is used for detecting the operation parameters of the lightning protection equipment and storing detection data; and the field detection device is mechanically connected with the fault indicating device and is used for driving the fault indicating device to indicate faults when the operating parameters of the lightning protection equipment are abnormal. Above-mentioned lightning protection equipment detecting system detects the operating parameter of lightning protection equipment through on-the-spot detection device to the data that the storage detected, when on-the-spot detection device detects the operating parameter of lightning protection equipment and appears unusually, drive fault indication device and make the fault indication, in order to remind staff lightning protection equipment trouble. However, the technical scheme still needs an operator to carry the handheld data acquisition device to enter the lightning protection facility installation site for operation, on one hand, the manual detection consumes time, a large number of power transmission lines need huge manpower support, and on the other hand, the manual detection still has danger even if a wireless technology is adopted, and if a maintainer still needs to climb to a high position of an iron tower to check the fault defect of the lightning protection facility on the power transmission lines.
SUMMERY OF THE UTILITY MODEL
Problem to prior art exists, the utility model discloses technical scheme's aim at provides a transmission line lightning protection equipment fault detection equipment based on thing networking and artificial intelligence, appears unusual equipment to reporting to the electrical characteristic value of lightning protection facilities such as arrester, avoids the loaded down with trivial details work of artifical detection and verification.
The utility model provides a technical scheme includes:
the technical scheme of the first aspect is that the fault detection equipment for the lightning protection facility of the power transmission line based on the Internet of things and artificial intelligence comprises a detection module for receiving operation data of the lightning protection facility, a first image acquisition module arranged at the lightning protection facility, a second image acquisition module arranged on an inspection unmanned aerial vehicle, a display module arranged at a far end and a data relay for transmitting display data to the display module; the data repeater is in communication connection with the detection module, the first image acquisition module and the second image acquisition module. The first image acquisition module is mainly used for acquiring image information of the lightning protection facility, then transmitting the image information to the server through the data repeater, identifying and verifying the fault of the lightning protection facility by the artificial neural network running in the server for visual identification, and simultaneously displaying the image data and the result information identified by the artificial neural network on the display module. In some embodiments of the technical solution, the detection module, the first image acquisition module, and the data relay are deployed in a decentralized manner, and each module or device may be connected in data communication by wireless communication technologies such as 4G, or may be connected in data communication by wired communication technologies such as optical fiber. In other embodiments of the technical scheme, the detection module, the first image acquisition module and the data repeater are deployed on the same external frame device, so that uniform installation, deployment and maintenance are facilitated.
One improvement of the above technical scheme is that: the data repeater is an internet of things terminal arranged at the lightning protection facility. The internet of things terminal comprises a processing unit, a communication unit and a signal acquisition unit, wherein the processing unit operates a configuration program to complete a data relay task, and also performs pre-compression and other processing on data of the first image acquisition module and the second image acquisition module according to a preset algorithm, so that the data quantity of other communication is reduced. In some embodiments, the terminal of the internet of things further comprises a plurality of environment sensors such as temperature, humidity and wind speed which are in communication connection with the processing unit and used for collecting environmental conditions before and after lightning stroke or lightning protection facility fault for unified analysis. The internet of things terminal is in communication connection with the remote display module through the optical fiber composite overhead ground wire and the optical fiber repeater of the power transmission line in order to improve communication reliability due to the fact that weak influence on the fault rate of the power transmission line possibly caused by large-scale deployment of the equipment is considered. In a further another improvement, a cross-arm parking apron is arranged at the lightning protection facility, the internet of things terminal is integrated on the cross-arm parking apron, and the cross-arm parking apron is provided with an optical communication module for sending optical signals to the line patrol unmanned aerial vehicle.
The technical scheme of the second aspect is a transmission line lightning protection facility fault detection equipment based on thing networking and artificial intelligence, including the unmanned aerial vehicle air park that is equipped with detection module, first image acquisition module and thing networking terminal, the unmanned aerial vehicle air park is located lightning protection facility department, detection module is used for receiving lightning protection facility operating data, first image acquisition module is used for gathering the image information of lightning protection facility, thing networking terminal be used for with detection module first image acquisition module with set up second image acquisition module communication connection on patrolling line unmanned aerial vehicle.
In some embodiments of above-mentioned technical scheme, be equipped with power supply unit in the unmanned aerial vehicle air park, if supply power through external solar panel and built-in battery, also can supply power through the distribution lines. The power supply device is responsible for supplying power to the first image acquisition module and the detection module. The detection module regularly acquires electrical characteristic values such as a full current value and a resistive current value of the lightning arrester, and the first image acquisition module regularly shoots pictures. The acquired data are uploaded to a data analysis system of the cloud computing network through the internet of things terminal through a 4G network and the like, and the analysis system gives an assessment result of the lightning protection facility.
The utility model provides a technical scheme brought technical effect includes: firstly, the technology of the Internet of things is utilized, necessary measuring instruments are used for measuring static and running electrical characteristic values of lightning protection facilities such as a lightning arrester, the lightning protection facilities are detected through the terminal of the Internet of things, and equipment fault data of the lightning protection facilities are uploaded; secondly, replacing manual field inspection with a certain number of first image acquisition modules, and effectively identifying the lightning protection facilities with defects by using the existing image identification technology, wherein the image information of the lightning protection facilities, which is acquired by the camera equipment fixed at the lightning protection facilities, is helpful for detecting, verifying or marking potential or obvious defect faults of the lightning protection facilities by using the image identification technology; in addition, to the lightning-arrest facility that is not convenient for use fixed camera device to shoot, discern trouble facility through the second image acquisition module that current patrol line unmanned aerial vehicle carried, improve the efficiency of maintenance work.
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Fig. 1 is a schematic structural diagram of a system according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a system according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of a system mechanism according to a third embodiment of the present invention.
Detailed Description
It should be noted that, in the present application, the terminal of the internet of things is a device that connects the sensor network layer and the transmission network layer in the internet of things, and acquires data and sends data to the network layer. It is responsible for data acquisition, preliminary processing, encryption, transmission and other functions. Various terminal devices of the internet of things can be generally divided into a context awareness layer, a network access layer, a network control layer and an application/service layer. Each layer has a corresponding relationship with the control device on the network side. The terminal of the internet of things is often in various heterogeneous network environments, and in order to provide the best use experience for the user, the terminal should have the capability of sensing scene changes, and based on the capability, the optimal service channel is selected for the user through optimization judgment. The terminal equipment senses the change of the environment through an RF module or a sensor module and the like at the front end, and decides the response measures required to be taken through calculation. Data repeaters, i.e. repeaters (RP repeaters), are connected devices operating on the physical layer, suitable for the interconnection of two types of networks that are identical, the main function being to extend the distance of network transmission by retransmitting or forwarding data signals, repeaters are often used for the bidirectional forwarding of physical signals between two network nodes. The repeater mainly completes the function of a physical layer, is responsible for transmitting information on the physical layers of two nodes according to bits, and completes the functions of copying, adjusting and amplifying signals so as to prolong the length of the network. Due to the loss, the power of the signal transmitted on the line will gradually attenuate, and when the attenuation reaches a certain degree, the signal will be distorted, thereby causing a receiving error. Repeaters are designed to solve this problem. It completes the connection of physical line, amplifies the attenuated signal and keeps the same as the original data. In general, the two ends of the repeater are connected to the same medium, but some repeaters can also complete the switching work of different media. The use of repeaters is theoretically unlimited and the network can therefore be extended indefinitely. This is virtually impossible because the network standards specify a delay range for the signal within which the repeater can only operate effectively, otherwise network failures can occur.
The application refers to artificial intelligence, which refers to a patterned artificial neural network running on a computing platform and used for identifying a designated frame of a picture or video with a designated feature after training, and common convolutional neural networks such as a convolutional neural network can be constructed by imitating a visual perception (visual perception) mechanism of a living being, can perform supervised learning and unsupervised learning, and enable the convolutional neural network to learn grid-like topologic features such as pixels and audio with a small amount of computation, have a stable effect and have no additional feature engineering (feature engineering) requirement on data.
The present invention does not further improve the above prior art, but provides a system structure and a location deployment suitable for application based on a technical concept, and those skilled in the art should fall within the protection scope of the present application based on the improved application of the above method by the technical concept of the present application. In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example one
As shown in fig. 1, the present embodiment is a transmission line lightning protection facility fault detection device based on the internet of things and artificial intelligence, including a plurality of detection modules 1A, 1B, 1C for receiving operation data of a lightning protection facility, a plurality of first image acquisition modules 2A, 2B disposed at each lightning protection facility, a second image acquisition module 3C disposed on a line patrol unmanned aerial vehicle, a display module 4 disposed at a far end, and data relays 5A, 5B for transmitting display data to the display module 4; each data repeater is in communication connection with the designated detection module, the first image acquisition module and the second image acquisition module. The data relays 5A and 5B transmit the received data information to the remote display module 4 through the cloud computing network, and there may be a plurality of remote display modules 4. The embodiment is suitable for the transformation of the existing power transmission line.
In this embodiment, the detection module 1A is a remote acquisition module, is not located at the lightning protection facility a, and remotely telemeters electrical characteristic values such as a full current value and a resistive current of the lightning protection device a, and when the detection module 1A detects that the electrical characteristic value of the lightning protection device a is abnormal, the data repeater 5A forwards an image of the first image acquisition module 2A located at the lightning protection device a to the display module 4.
In this embodiment, the detection module 1B is an acquisition module at a field end, is located at the lightning protection facility B, measures electrical characteristic values such as a full current value and a resistive current of the lightning protection device B at a field segment, and when the detection module 1B detects that the electrical characteristic value of the lightning protection device B is abnormal, the data repeater 5B forwards an image of the first image acquisition module 2B arranged at the lightning protection device B to the display module 4.
In this embodiment, the detection module 1C is a remote acquisition module, and is not located at the lightning protection facility C, and the lightning protection facility C is difficult to install the first image acquisition module device, generally, the detection module 1C is used for climbing detection, and the detection module 1C can only remotely measure the electrical characteristic values of the lightning protection device C, such as the full current value and the resistive current, and the like, in a long distance, when the detection module 1C detects that the electrical characteristic value of the lightning protection device C is abnormal, the line patrol unmanned aerial vehicle provided with the second image acquisition module 3C enters the area of the lightning protection device C according to an instruction to acquire the image information of the lightning protection device C, and after the acquisition is completed, the line patrol unmanned aerial vehicle enters the communication range of the data relay 5B according to a preset instruction to be in communication connection with the data relay 5B, and the data relay 5B forwards the image of the lightning protection. This mode of operation of the present embodiment has hysteresis.
In other embodiments of the present application, the cloud computing network may use a convolutional neural network or other technologies to identify and mark the images provided by the first image acquisition modules 2A and 2B or the second image acquisition module 3C, so as to display the images on the display module 4.
In this embodiment, the communication links between the data repeaters 5A and 5B and the first image capturing modules 2A and 2B may be fixed, so these communication links may be connected in a wired communication manner, and for the data repeater 5B and the second image capturing module 3C, since their communication links are not always maintained, the data repeater 5B of this embodiment is provided with a wireless forwarding module, the second image capturing module 3C is connected with the wireless forwarding module and communicates after being located in an effective communication range of the data repeater 5B, the wireless forwarding module communication scheme includes WIFI, zigbee, and bluetooth, and the effective communication ranges are about 200m, 70m, and 10m in sequence.
One mode of operation of this embodiment may be that the data repeater is used to periodically upload the data of the detection module to the data center in the cloud computing network. And the data center receives the data of the detection module and judges that the measured value is abnormal. Thus avoiding the tedious work of manual detection.
One mode of operation of this embodiment may be to replace manual inspection with a large number of arranged first image acquisition modules. A high-definition camera device, namely a high-definition camera, is arranged near a vulnerable lightning protection facility and is used as a first image acquisition module to shoot and upload regularly. The camera is preferably a high-definition wide-angle lens. And the lightning arrester with the defect is effectively identified by utilizing an image identification technology.
An operating mode of this embodiment can be, to the lightning-arrest facility that is not convenient for use fixed camera device to shoot, can also establish a certain amount of unmanned aerial vehicle at the maintenance station, be equipped with storage equipment among the unmanned aerial vehicle. Unmanned aerial vehicle is controlled by the maintainer, uses the high definition digtal camera among the unmanned aerial vehicle to shoot trouble facility. And inputting the pictures into an image recognition system to recognize the defective lightning protection facilities. Further, some according to predetermineeing the route and can keeping away the patrol line unmanned aerial vehicle of barrier, under this mode, can need not the completion of operation and shoot work.
Due to cost considerations, in some embodiments of the present embodiment, the data repeaters 5A and 5B are disposed at a preferred location of a plurality of lightning protection installation geographical location clusters, such as a service station, so as to connect the image signals of a plurality of lightning protection installations to the cloud computing network through a common data repeater, thereby saving the deployment of connecting optical fibers. In these embodiments, the first image capturing module 2A, 2B located at the lightning protection facility is wirelessly connected to the data relay 5A, 5B, and a wireless communication link carrying communication signals of the wireless communication connection is also capable of relaying, that is, a plurality of other wireless relays may also be present in the wireless communication link. In an improved embodiment, the plurality of wireless repeaters in the wireless communication link are used to form an ad hoc network that improves network stability, thereby forming a dynamic, high reliability wireless communication link.
Example two
As shown in fig. 2, the present embodiment is a transmission line lightning protection facility fault detection device based on the internet of things and artificial intelligence, and is different from the first embodiment in that the data repeaters 5A, 5B, and 5C are terminals of the internet of things disposed at the lightning protection facility. The embodiment is suitable for newly-built power transmission lines which comprise optical fiber composite overhead ground wires, and the internet of things terminal is arranged at any measuring node and used for processing some edge calculation tasks.
The internet of things terminals of the embodiment are all arranged on a field section and are in communication connection with the display module at the far end through the optical fiber composite overhead ground wire and the optical fiber repeater of the power transmission line, and because the internet of things terminals can bear some edge calculation tasks, the communication connection between the display terminal 4 and the internet of things terminals is bidirectional, so that the transmission task of control data of the cloud deck operation of the first image acquisition modules 2A and 2B can be conveniently completed.
In this embodiment, data relay 5C installs in lightning-arrest facility C department, and second image acquisition module 3C that patrols line unmanned aerial vehicle carried also gets into data relay 5C's effective communication scope when getting into the image acquisition scope simultaneously, can transmit lightning-arrest facility C's image data to display module 4 in real time.
Chinese patent CN110040260A discloses a cross arm parking apron, including installing the parking apron body on the distribution network shaft tower, the parking apron body includes: the power supply module is used for supplying power to each component on the apron body; the wired communication module is used for realizing the communication between the apron body and the remote control center; the optical communication module is used for sending optical signals to the unmanned aerial vehicle; and the central processing unit is used for communicating with the remote control center through the wired communication module and sending a specified optical signal to the unmanned aerial vehicle through the optical communication module according to the requirement of the remote control center.
An improvement of this embodiment can be equipped with foretell cross arm air park in lightning-arrest facility C department, and thing networking terminal is integrated on the cross arm air park, and the cross arm air park is equipped with the optical communication module who sends optical signal to patrolling line unmanned aerial vehicle for send the position to patrolling line unmanned aerial vehicle and correct the instruction, the shooting angle according to instruction adjustment that patrolling line unmanned aerial vehicle can the off-line.
EXAMPLE III
As shown in fig. 3, this embodiment is a transmission line lightning protection facility fault detection equipment based on thing networking and artificial intelligence, be an unmanned aerial vehicle air park, every lightning protection facility department all is equipped with this unmanned aerial vehicle air park, every unmanned aerial vehicle air park all is equipped with detection module, first image acquisition module and thing networking terminal, detection module 1A, 1B, 1C is used for receiving lightning protection facility operating data, first image acquisition module 2A, 2B, 2C is used for gathering the image information of lightning protection facility, thing networking terminal 5A, 5B, 5C is used for and detection module, first image acquisition module with set up on patrolling line unmanned aerial vehicle second image acquisition module communication connection.
The difference between the second embodiment and the second embodiment lies in that the line patrol unmanned aerial vehicle provided with the second image acquisition module 3C is in communication connection with the internet of things terminal 5A, 5B, and 5C in a changeable manner according to the scheduling instruction, that is, image acquisition can be implemented on the lightning protection facility a, the lightning protection facility B, or the lightning protection facility C, and image data is provided to the display module 4 by using the internet of things terminal 5A, 5B, or 5C correspondingly.
Claims (5)
1. The utility model provides a transmission line lightning protection facility fault detection equipment based on thing networking and artificial intelligence which characterized in that: the system comprises a detection module for monitoring the lightning protection facility data, a first image acquisition module arranged at the lightning protection facility, a second image acquisition module arranged on the line patrol unmanned aerial vehicle, a display module arranged at a far end and a data repeater for transmitting display data to the display module; the data repeater is in communication connection with the detection module, the first image acquisition module and the second image acquisition module.
2. The transmission line lightning protection facility fault detection device of claim 1, characterized in that: the data repeater is an internet of things terminal arranged at the lightning protection facility.
3. The transmission line lightning protection facility fault detection device of claim 2, characterized in that: and the Internet of things terminal is in communication connection with the remote display module through the optical fiber composite overhead ground wire and the optical fiber repeater of the power transmission line.
4. The transmission line lightning protection facility fault detection device of claim 2, characterized in that: lightning-arrest facility department is equipped with the cross arm air park, thing networking terminal integrated in on the cross arm air park, the cross arm air park be equipped with to the light communication module that patrols line unmanned aerial vehicle and send optical signal.
5. The utility model provides a transmission line lightning protection facility fault detection equipment based on thing networking and artificial intelligence which characterized in that: including the unmanned aerial vehicle air park that is equipped with detection module, first image acquisition module and thing networking terminal, the unmanned aerial vehicle air park is located lightning-arrest facility department, detection module is used for the monitoring lightning-arrest facility electrical characteristic data, first image acquisition module is used for gathering the image information of lightning-arrest facility, thing networking terminal be used for with detection module first image acquisition module with set up second image acquisition module communication connection on patrolling line unmanned aerial vehicle.
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| CN202020008625.3U CN212111619U (en) | 2020-01-03 | 2020-01-03 | Transmission line lightning protection facility fault detection equipment based on Internet of things and artificial intelligence |
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| CN202020008625.3U CN212111619U (en) | 2020-01-03 | 2020-01-03 | Transmission line lightning protection facility fault detection equipment based on Internet of things and artificial intelligence |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116363116A (en) * | 2023-04-12 | 2023-06-30 | 周晓菲 | Time-sharing judging system for lightning strike probability of power transmission tower |
| CN116699462A (en) * | 2023-07-20 | 2023-09-05 | 常州帕斯菲克自动化技术股份有限公司 | Intelligent monitoring and collecting device for passive zinc oxide lightning arrester |
-
2020
- 2020-01-03 CN CN202020008625.3U patent/CN212111619U/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116363116A (en) * | 2023-04-12 | 2023-06-30 | 周晓菲 | Time-sharing judging system for lightning strike probability of power transmission tower |
| CN116363116B (en) * | 2023-04-12 | 2023-09-01 | 周晓菲 | Time-sharing judging system for lightning strike probability of power transmission tower |
| CN116699462A (en) * | 2023-07-20 | 2023-09-05 | 常州帕斯菲克自动化技术股份有限公司 | Intelligent monitoring and collecting device for passive zinc oxide lightning arrester |
| CN116699462B (en) * | 2023-07-20 | 2023-11-07 | 常州帕斯菲克自动化技术股份有限公司 | Intelligent monitoring and collecting device for passive zinc oxide lightning arrester |
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