CN112241732B - Power transmission line on-line monitoring method and system and storage medium - Google Patents
Power transmission line on-line monitoring method and system and storage medium Download PDFInfo
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Abstract
The invention provides a power transmission line on-line monitoring method, a power transmission line on-line monitoring system and a storage medium, which have the advantages of simple structure, reasonable design, convenience in collection, rapidness in separation, safety and stability. The method comprises the steps that a plurality of monitoring nodes are respectively arranged on the power transmission line, and a plurality of sensors are connected to the monitoring nodes, and the sensors are respectively arranged on corresponding line devices to be monitored; the monitoring node comprises a unit integrated on the circuit board, an AI unit used for carrying out AI processing on the acquired data through an embedded intelligent algorithm; the main control unit is used for controlling the AI unit to carry out corresponding AI processing on the acquired data; the eRFID chip is used for verifying the uniqueness of the circuit board through the eRFID chip before the main control unit operates; the local communication unit is used for accessing the collected data of the sensor; and the remote communication unit is used for transmitting the AI processing result to the outside.
Description
Technical Field
The invention relates to the field of on-line monitoring of power transmission lines, in particular to a method and a system for on-line monitoring of power transmission lines and a storage medium.
Background
The power transmission line is large in scale, operates in a passage corridor with wide regions, complex environment and changeable climate, and is frequently subjected to extreme weather events such as rain, snow, ice and the like, so that the construction of the power transmission internet of things is imperative. With the deep construction of the transmission internet of things, sensing terminals for large-scale and various types of transmission lines are widely deployed.
In the prior art, a scheme adopted for monitoring a power transmission line includes the following three parts.
The sensing terminal is widely deployed on large-scale and various types of power transmission lines to carry out sensing data access technology. The sensing terminal comprises a microclimate device, breeze vibration, lead temperature and the like. The comprehensive perception of the power transmission line relates to the perception of various data such as electrical measurement, mechanical measurement, temperature measurement and the like, and supports various business applications such as dynamic capacity expansion, ice coating, waving, video front-end identification and the like of the wire. However, the sensing terminals on the power transmission line are more in application types, the acquisition frequency is higher and higher, and the generated data volume is larger and larger even when the acquisition time interval reaches millisecond level. And the repeated configuration of the access node causes the increase of purchasing cost, the reduction of maintenance construction efficiency and the difficulty in multiplexing the power supply and the communication module of each node. The collected data are not uniform in format, data are not subjected to standardized processing, and the pressure of accessing the master station is high; the data sources are numerous, and the information channels are inconsistent. With mass access of data, heterogeneous sensing data causes large transmission pressure of a system and heavy calculation load of a main station, and meanwhile, the problems of uneven data, missing data and non-uniform formats exist.
After the sensors collect various data, the data are all uniformly transmitted to the cloud center for video processing, wherein the video monitoring of the power transmission line comprises monitoring and fault recognition of a capital construction site, a ground wire, a tower, a hardware fitting, an insulator and an accessory facility, the front-end camera transmits the video data to the cloud center, and the cloud center completes intelligent analysis of the video data. The scheme has high requirement on transmission bandwidth and large transmission pressure of the system; the cloud center has high processing pressure and untimely fault analysis. The collected data are not uniform in format, the data are not subjected to standardized processing, and the pressure of accessing the master station is high; the data missing phenomenon is serious, and the acquired data has errors of different degrees.
When the sensor collects data, the sensor is controlled through the core board, but the core board lacks a unique identifier and protective measures, so that the risk of imitation exists, and at present, the property right protection of the core board is not feasible.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides the on-line monitoring method, the system and the storage medium for the power transmission line, which have the advantages of simple structure, reasonable design, convenient collection, quick separation, safety and stability.
The invention is realized by the following technical scheme:
an electric transmission line on-line monitoring system, comprising:
the monitoring nodes are respectively arranged on the power transmission line, and the sensors are connected to the monitoring nodes and are respectively arranged on the corresponding line devices to be monitored;
the monitoring node comprises the following units integrated on a circuit board,
the main control unit is used for receiving the acquired data of each sensor and controlling the AI unit to perform corresponding AI processing on the acquired data by utilizing edge calculation;
the AI unit is used for carrying out corresponding AI processing on the acquired data through an embedded AI intelligent algorithm to complete fault identification and realize the online monitoring of the power transmission line;
the eRFID chip is used for verifying the uniqueness of the circuit board; and the main control unit receives the collected data of each sensor after the uniqueness verification is passed.
Preferably, at least one of the following AI intelligent algorithms is embedded in the AI unit:
the FasterR-CNN algorithm;
a VGG algorithm;
YoloV3 algorithm;
the Darknet algorithm.
Preferably, the eRFID chip comprises a wired read-write channel and/or a wireless read-write channel.
Preferably, the monitoring node further comprises a remote communication unit for transmitting the fault identification result to the outside; the remote communication unit comprises a plurality of uplink communication interfaces for data transmission; the uplink communication interface comprises at least one of optical fiber, 4G, 5G, Beidou, Ethernet and a private network LTE interface.
Preferably, the monitoring node further comprises a local communication unit for accessing the collected data of the sensor; the local communication unit comprises a plurality of downlink communication interfaces for accessing collected data of the sensor; the downlink communication interface comprises at least one of RS485, micropower wireless, WIFI and a wireless network bridge interface.
Preferably, the monitoring node further comprises,
a power supply unit for supplying power; and
and the safety unit is internally provided with an encryption chip and is used for carrying out safety authentication when the online monitoring system is accessed.
An on-line monitoring method for a power transmission line comprises the following steps:
the monitoring nodes carry out uniqueness verification, the monitoring is stopped if the verification fails, and the monitoring nodes respectively receive the collected data of each sensor after the verification passes;
and the monitoring node performs corresponding AI processing on the acquired data by using edge calculation through an AI intelligent algorithm to complete fault identification, so that the online monitoring of the power transmission line is realized.
Preferably, the AI processing results are transferred between adjacent monitoring nodes step by step until all received AI processing results are uploaded by the monitoring nodes capable of connecting to the public network.
Preferably, when the uniqueness of the monitoring node is verified, the RFID identification code built in the eRFID chip is read, the RFID identification code is verified, if the verification of the RFID identification code is passed, the operation is continued, and if the verification of the RFID identification code is not passed, the monitoring is stopped.
Preferably, the collected data is a video image, and the corresponding AI process includes,
carrying out size scaling on the collected video image data;
and invoking a Yolo V3, Darknet, VGG and/or FasterR-CNN algorithm built in the AI unit to identify the fault of the zoomed video image data, and obtaining the AI processing and analyzing result of the video image with the fault.
A computer storage medium having a computer program stored thereon, the computer program, when executed by an online monitoring system of a power transmission line, implementing the steps of the online monitoring method of a power transmission line as described in any one of the above.
Compared with the prior art, the invention has the following beneficial technical effects:
the power transmission line on-line monitoring system is internally provided with a plurality of communication systems, realizes the convergent access of multi-sensor data, reduces the number of access base stations and reduces the installation cost; the dependence degree of public network signals is reduced, and the rapid transmission of data without signal blind areas is realized. Meanwhile, an intelligent unit is arranged in the intelligent video screening and analyzing system, AI computing power is expanded, preliminary analysis is carried out on video and sensing data, intelligent screening and analysis of data on the edge side are achieved, and system transmission and main station processing pressure is reduced. And a unique identification code is arranged in the core board, so that counterfeiting is prevented, and the core board is safe, reliable and free from infringement.
Drawings
Fig. 1 is a schematic structural diagram of the monitoring node according to the embodiment of the present invention.
Fig. 2 is a diagram illustrating wireless relay transmission according to an embodiment of the invention.
Fig. 3 is a schematic diagram illustrating a flow of intelligent analysis of a video according to an embodiment of the present invention.
Fig. 4 is a flowchart illustrating the uniqueness determination of the circuit board according to the embodiment of the invention.
FIG. 5 is a schematic diagram of a bidirectional read-write process of the eRFID chip in the embodiment of the present invention.
FIG. 6 is a schematic diagram of an edge computing box in accordance with the specific application of the present invention.
Detailed Description
The present invention will now be described in further detail with reference to specific examples, which are intended to be illustrative, but not limiting, of the invention.
The invention discloses an on-line monitoring system of a power transmission line, which comprises a plurality of monitoring nodes and a plurality of sensors, wherein the monitoring nodes are respectively arranged on the power transmission line, the sensors are connected to the monitoring nodes, and the sensors are respectively arranged on corresponding line devices to be monitored;
the monitoring node comprises:
the main control unit: the monitoring node realizes various logic controls, is the core of the whole monitoring node, and a single monitoring node is used as an independent networking gateway.
An AI unit: various power transmission application intelligent algorithms are embedded to realize various applications of power transmission services, and the intelligent algorithms are the existing algorithms corresponding to various application requirements.
A power supply unit: the power supply device is used for supplying power to the monitoring node and realizing reliable charge and discharge circulation.
A security unit: and the built-in encryption chip is used for carrying out safety authentication when the on-line monitoring system is accessed, and the safety transmission of data is ensured.
And the eRFID chip is used for verifying the uniqueness of the circuit board through the eRFID chip before the main control unit operates.
The remote communication unit: and various sensing terminal data can be reliably forwarded to the background through various uplink communication interfaces. In the preferred embodiment, the uplink communication interface includes interfaces corresponding to an optical fiber, 4G, 5G, beidou, ethernet and a private LTE network, and interacts with the internet of things management platform in an uplink mode.
The local communication unit: and data access of various sensing terminals around the tower is realized through various downlink communication interfaces. In this preferred embodiment, the downlink communication interface includes an RS485 interface, a micropower wireless interface, a WIFI interface, and a wireless bridge interface, where the RS485 interface: wired access of meteorological devices such as a micro meteorological station with higher density is supported; and (3) a WIFI interface: supporting the access of the inspection terminal in the non-signal area; wireless bridge interface: the video relay can be used as a video relay to realize information transmission under a signal-free blind area; micropower wireless interface: and the SUB-G low-power-consumption ad hoc network protocol stack is adopted to support the access of various kinds of narrow-band data in a line section, and the communication distance is further prolonged by working at the 433MHz frequency band. The device has the characteristics of self-adaptive frequency hopping and time synchronization, and meets the requirements of plug and play and on-demand expansion of various sensors in the later period. The sensors capable of receiving the signals comprise a waving sensor, a temperature sensor and the like, and can be connected with an RS485 interface according to specific types.
An Ethernet port: the camera interface supports the access of the camera for preventing video and picture data such as external damage, mountain fire and the like.
And the RS232 interface is used for maintaining and accessing the monitoring node.
The monitoring node of the invention, as shown in fig. 2, can be used as a video relay node through a wireless network bridge, sequentially forms a local area network, and performs wireless relay transmission on the video or information of nodes without a public network node by node until the video or information is transmitted to the nodes with the public network, and then uploads the video or information to an intranet through a remote communication unit and transmits the video or information to an internet of things management platform.
The monitoring nodes deployed in the system are used as intelligent line edge intelligent gateways, access, forwarding, intelligent analysis and processing of different types of data can be realized, reliability, flexibility and comprehensiveness of the monitoring nodes are key links for constructing a power transmission internet of things, and the monitoring nodes are infrastructures and hubs for realizing unified deployment, unified access and unified application of a power transmission internet of things sensing layer. Each monitoring node is equipped with narrowband/broadband communication capability and wide-area data transmission capability.
In the online monitoring of the power transmission line, edge computing and cloud computing are computing operation modes for processing big data, but the processing transition of the cloud computing depends on a cloud center, so that the efficiency of the internet of things cannot be expected, and particularly, the deployment of the internet of things is meaningless in scenes with strict time delay requirements. For example, in an equipment monitoring scene, a camera acquires a live video and an image and transmits the live video and the image to a cloud center for processing, so that not only is high-speed bandwidth required to transmit a large amount of invalid data, but also a huge burden is brought to the cloud center. The end result is high processing costs, long processing times and low efficiency. In comparison, the edge calculation data does not need to be transmitted to a remote cloud, and can be solved at the edge side, so that the method is more suitable for real-time data analysis and intelligent processing, and is more efficient and safer.
The edge computing means that a network, computing, storage and open platform are fused at the edge side of a network close to an object or a data source, so that edge intelligent service is provided nearby, and the key requirements of industry digitization on aspects of agile connection, real-time service, data optimization, application intelligence, safety, privacy protection and the like are met.
The invention carries out integrated integration by increasing the system design of the AI core chip, realizes the intelligent analysis of the internal received data, and reduces the pressure of the system by utilizing the edge calculation technology.
Specifically, as shown in fig. 3, the invention is based on the edge computing technology, and implements artificial intelligence AI processing through the AI unit, and can automatically identify the defects of the device body and automatically warn, discard useless data, quickly warn and warn, and facilitate timely processing by operation and maintenance personnel, aiming at the aspects of the infrastructure site, the ground wire, the tower, the hardware, the insulator, the channel environment, and the like.
FasterR-CNN, VGG, Yolo V3 and Darknet algorithms are built in the AI unit, and cranes, tower cranes, construction machinery, foreign matters of wires (unidentified objects such as kites and plastic bags), mountain fire, smoke, towers, hardware corrosion and insulator contamination near the power transmission channel can be identified.
The intelligent video analysis process comprises the following steps:
as shown in fig. 3, an image with 1280x720 resolution is input into a video, the image is first subjected to data size scaling, the image is compressed to 448x448 resolution, the image is sent to an AI unit, and several algorithms of Yolo V3, Darknet, VGG, and FasterR-CNN are called to perform image fault identification, so as to realize video intelligent analysis on the fault.
In the invention, the uniqueness verification is carried out by adopting the embedded eRFID chip, as shown in FIG. 4, the uniqueness judgment process for the circuit board specifically comprises the following steps: the embedded eRFID chip of board level, through I2C interface connection, the built-in RFID identification code of eRFID chip is read to the back procedure of circular telegram, if the check-up passes, the procedure continues the operation, realizes the protection work of circuit board through this kind of mode. The method adopts the built-in RFID identification code of the eRFID chip as the unique identification to check the safe operation of the monitoring node.
The eRFID technology is a non-contact automatic identification technology, and the basic principle is to realize automatic identification and data exchange by using the transmission characteristics of radio frequency signals and spatial coupling (inductive or electromagnetic coupling). The RFID technology has the advantages of non-contact recognition, capability of recognizing high-speed moving objects, large information capacity, good confidentiality, severe environment resistance, high accuracy and safety, capability of recognizing a plurality of recognition objects and the like. Because of these advantages, the technology is widely applied to various aspects of industrial production and daily life, such as logistics, retail, medical treatment, anti-counterfeiting, transportation and the like; the eRFID has the advantages of the performance and the advantages of the RFID, and is additionally provided with a wired interface, so that wired and wireless bidirectional transmission interaction can be carried out.
The monitoring nodes are all uniformly integrated on one core board, so that the core board can be prevented from being counterfeited by adding the eRFID chip, and the unique identification of the core board is realized; meanwhile, the eRFID chip is in a dual-channel mode, I2C wired and wireless reading and writing are supported, reading and writing of the RFID identification code in the two modes are realized, and judgment of the identification is facilitated; as shown in fig. 5, data of the data platform can be read and written in a wired manner to the edrid chip sequentially through the NB-loT module and the MCU unit and the I2C interface based on the NB-loT network, and the RFID identification code in the edrid chip can also be read and written in a wireless manner by the RFID read-write terminal to determine the identification.
The invention is applied to the actual online monitoring of the power transmission line, as shown in fig. 6, the monitoring node adopts the form of an edge computing box, a main control unit, a storage unit, a safety unit with a built-in SPI encryption chip, a remote communication unit and a local communication unit are integrated on a circuit board to form a core board, the core board is matched with an eRFID chip and an AI unit to realize related functions, and related plugs are respectively matched with configured uplink and downlink interfaces to perform corresponding communication, wherein a wired interface adopts an air-plug form, and a wireless interface is provided with a corresponding antenna or a receiving and transmitting port.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (6)
1. An on-line monitoring system for a power transmission line, comprising:
the monitoring nodes are respectively arranged on the power transmission line, and the sensors are connected to the monitoring nodes and are respectively arranged on the corresponding line devices to be monitored;
the monitoring node comprises the following units integrated on a circuit board,
the main control unit is used for receiving the acquired data of each sensor and controlling the AI unit to perform corresponding AI processing on the acquired data by utilizing edge calculation;
the AI unit is used for carrying out corresponding AI processing on the acquired data through an embedded AI intelligent algorithm to complete fault identification and realize the online monitoring of the power transmission line;
the eRFID chip is used for verifying the uniqueness of the circuit board; the main control unit receives the collected data of each sensor after the uniqueness verification is passed; when the uniqueness of the monitoring node is verified, reading an RFID identification code built in an eRFID chip, verifying and verifying the RFID identification code, continuing to operate if the RFID identification code passes verification, and stopping monitoring if the RFID identification code does not pass verification;
the monitoring node also comprises a remote communication unit used for transmitting the fault identification result outwards; the remote communication unit comprises a plurality of uplink communication interfaces for data transmission; the uplink communication interface comprises at least one of optical fiber, 4G, 5G, Beidou, Ethernet and a private network LTE interface;
the monitoring node also comprises a local communication unit which is used for accessing the collected data of the sensor; the local communication unit comprises a plurality of downlink communication interfaces for accessing collected data of the sensor; the downlink communication interface comprises at least one of RS485, micro-power wireless, WIFI and a wireless network bridge interface;
the monitoring node also comprises a power supply unit for supplying power; the safety unit is internally provided with an encryption chip and is used for carrying out safety authentication when the online monitoring system is accessed;
and transmitting the AI processing results step by step between the adjacent monitoring nodes until all the received AI processing results are uploaded by the monitoring nodes which can be connected with the public network.
2. The on-line monitoring system for power transmission line according to claim 1, wherein at least one of the following AI intelligent algorithms is embedded in the AI unit:
the FasterR-CNN algorithm;
a VGG algorithm;
YoloV3 algorithm;
the Darknet algorithm.
3. The on-line monitoring system for the power transmission line according to claim 1, wherein the eRFID chip is provided with a wired read-write channel and/or a wireless read-write channel.
4. An on-line monitoring method for a power transmission line is characterized by comprising the following steps:
the monitoring nodes carry out uniqueness verification, the monitoring is stopped if the verification fails, and the monitoring nodes respectively receive the collected data of each sensor after the verification passes;
the monitoring node performs corresponding AI processing on the acquired data by using edge calculation through an AI intelligent algorithm to complete fault identification, so that the online monitoring of the power transmission line is realized;
transmitting AI processing results step by step between adjacent monitoring nodes until all received AI processing results are uploaded by the monitoring nodes which can be connected with a public network;
and when the uniqueness of the monitoring node is verified, reading an RFID identification code built in the eRFID chip, verifying and verifying the RFID identification code, continuously operating if the RFID identification code passes verification, and stopping monitoring if the RFID identification code does not pass verification.
5. The method according to claim 4, wherein the collected data is a video image, the corresponding AI process comprises,
carrying out size scaling on the collected video image data;
and invoking a Yolo V3, Darknet, VGG and/or FasterR-CNN algorithm built in the AI unit to identify the fault of the zoomed video image data, and obtaining the AI processing and analyzing result of the video image with the fault.
6. A computer storage medium, characterized in that the computer storage medium stores thereon a computer program, which when executed by an online power transmission line monitoring system, implements the steps of the online power transmission line monitoring method according to any one of claims 4 to 5.
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| CN113670373A (en) * | 2021-07-23 | 2021-11-19 | 南京轩世琪源软件科技有限公司 | High tension transmission line operational environment on-line measuring system |
| CN113965913A (en) * | 2021-10-19 | 2022-01-21 | 山东电力研究院 | On-line monitoring data transmission method and system |
| CN114254798A (en) * | 2021-11-05 | 2022-03-29 | 南方电网数字电网研究院有限公司 | Monitoring method and device for power transmission line, computer equipment and storage medium |
| CN114235054A (en) * | 2021-12-21 | 2022-03-25 | 江苏翰林正川工程技术有限公司 | Transmission line edge thing allies oneself with agent monitoring devices based on container technology |
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