CN112637802A - Power disaster monitoring node patrol detector based on wireless network - Google Patents
Power disaster monitoring node patrol detector based on wireless network Download PDFInfo
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- CN112637802A CN112637802A CN202011110160.3A CN202011110160A CN112637802A CN 112637802 A CN112637802 A CN 112637802A CN 202011110160 A CN202011110160 A CN 202011110160A CN 112637802 A CN112637802 A CN 112637802A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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Abstract
The invention discloses a power disaster monitoring node polling device based on a wireless network, which comprises a network communication node, a data reading part and a data processing part. Aiming at the defects of insufficient validity, weak pertinence, low reading efficiency and the like of data read by the conventional power monitoring equipment, the threshold value judgment is carried out on meteorological data based on a power disaster inspector by monitoring meteorological condition information of a specific geographic area, and the interaction and data transmission among the equipment are carried out by using a long-short combined type wireless communication method, so that the validity and pertinence of the read data are ensured; the data transmission method for uniformly packaging and transmitting the monitoring data of the responsible area to the server by using the polling device greatly improves the data reading efficiency.
Description
Technical Field
The invention belongs to the technical field of power disaster monitoring, and particularly relates to a power disaster monitoring node patrol detector based on a wireless network.
Background
Natural disaster events caused by extreme weather have risen year-to-year due to global climate changes. The power transmission safety problem under the influence of complex meteorological environment and geological environment is more prominent, the power transmission line is easy to generate damages such as large-amplitude line galloping, large deformation and settlement of a high-voltage power transmission tower and the like, and large-area faults and paralysis of a power grid are easy to cause. The working condition of power grid facilities under extreme meteorological conditions is mastered, the threat of meteorological disasters to the power grid is relieved, and therefore the guarantee of safe and reliable operation of the power grid is one of the key problems which need to be solved urgently in a power system.
With the wide application of the internet of things in social and economic fields such as smart power grids, intelligent transportation, industrial monitoring and environmental monitoring, the wireless sensor network plays a role in rapidly acquiring data. The disaster data of the electric power facilities are mainly acquired by wireless sensors installed on lines and facilities at present.
The monitoring work of the existing power monitoring system is mainly completed based on a wireless sensor, although monitoring of information such as related weather and line galloping can be achieved, the problem that data of power disaster monitoring nodes under different weather conditions in different areas are not read in a targeted mode is caused, the data redundancy amount processed by a background server is large, the effectiveness is low, and the problem that the rate of reading monitoring data is not high exists in the existing monitoring system.
Disclosure of Invention
The invention discloses a wireless network-based power disaster monitoring node polling device, aiming at the defects of reading of monitoring data by the existing power monitoring equipment, and providing effective reading equipment for the data of each monitoring node of a power disaster, wherein the monitoring data of a specific area can be selectively read according to the meteorological conditions of different areas, so that the defects of insufficient pertinence and effectiveness of the data read by the traditional equipment are overcome on the basis of realizing meteorological monitoring, line galloping monitoring and tower settlement monitoring; the data of the responsible area is uniformly packaged and sent to the server by the polling device, so that the data reading efficiency can be improved; based on the read high-risk monitoring data of the electric power disasters, factors influencing the normal operation of the electric power facilities can be classified to form a large data mining and risk situation early warning system of the danger control area.
In order to achieve the purpose, the technical solution of the invention is as follows: a power disaster monitoring node polling device based on a wireless network comprises a network communication node, a data reading part and a data processing part, wherein the data processing part takes returned data of the data reading part as a calculation basis.
The network communication node comprises a meteorological condition sensor assembly and an electric power disaster monitoring node, wherein the meteorological condition sensor assembly comprises a wind speed sensor, a temperature sensor, an air pressure sensor and a humidity sensor, and the electric power disaster monitoring node comprises a line galloping monitoring node and a tower pole settlement monitoring node.
The line galloping monitoring node consists of a series of wireless acceleration sensor nodes arranged on the power transmission line.
The pole settlement monitoring node comprises a reference station and a mobile station, wherein the reference station and the mobile station are both Beidou receivers, the reference station is fixed at a fixed point of a measuring area, the mobile station is arranged at a monitoring point position, and a differential system of the mobile station and the reference station measures a three-dimensional positioning result of the measuring point through a carrier phase dynamic real-time differential technology.
The data reading part is mainly completed by the power disaster polling device, and the polling device is responsible for a specific and wide geographic area, and each sensing test node is distributed in the area; the rover is responsible for communicating with all the radio network nodes in the area.
The communication mode of the inspection tour device adopts a long-short combined type wireless communication method to carry out short-distance wireless communication with each sensing test node, and the inspection tour device packages data and sends the packaged data to the server in a remote communication mode after polling the sensing data in the area.
The short-distance communication between the patrol device and the meteorological condition sensor and between the power disaster monitoring nodes is realized by the LoRa module, and the communication between the patrol device and the server is realized by the 4G module.
When the patrol detector works, monitoring data of the meteorological condition sensors in the area in charge of the patrol detector is received firstly, if the data meet a certain threshold condition, a corresponding instruction is sent, and the work, the dormancy and the data receiving and sending of all power disaster monitoring nodes in the area are controlled. The system is uniformly responsible for sending and receiving meteorological condition sensor monitoring data and electric power disaster monitoring data in a control area to a server.
The data processing part mainly achieves the following functions of analyzing and processing the data of the line galloping monitoring node, analyzing and processing the data of the tower rod settlement monitoring node and analyzing, researching and discussing the processed high-risk monitoring data of the electric power disasters.
The data analysis and processing of the line galloping monitoring node in the data processing part mainly comprises the step of carrying out secondary integration on acceleration data monitored by the acceleration sensor to obtain displacement data, so that the amplitude and the frequency of the line galloping are determined.
The data analysis and processing of the tower pole settlement monitoring node in the data processing part mainly comprise a displacement conversion algorithm part, a tower pole deformation model part, a vector corner algorithm part and a probability average algorithm part, and finally the deformation of a monitoring surface and the displacement condition of a high-voltage transmission line supporting point at the top of the power transmission tower can be calculated.
The data processing part mainly analyzes, discusses and researches the processed high-risk data of the electric power disaster, and mainly performs clustering and correlation analysis on the electric power disaster and the environmental data so as to determine fault risk probability and risk level early warning data, realize typical fault risk assessment and solve the quantitative problem of the electric power disaster.
According to the power disaster monitoring node polling device based on the wireless network, power disaster danger control area data including meteorological data, line galloping data, tower pole settlement data and the like of geographic region characteristics can be obtained through the cooperation of the network node communication part, the data reading part and the data processing part. Compare with current electric power calamity monitoring facilities, its apparent advantage lies in: 1. the method comprises the steps of selectively reading data of power monitoring nodes in different areas through judging meteorological conditions in different areas, improving pertinence and effectiveness of the read data, and reducing data redundancy, 2, uniformly receiving data receiving and sending of wireless monitoring nodes in the areas where the data are responsible by a patrol detector, effectively improving data reading efficiency, and 3, classifying factors influencing normal operation of power facilities after analyzing and processing the data sent by the patrol detector by a server. On the basis, a model and a method for forecasting and early warning the meteorological risk of the power transmission line can be further constructed, the power grid operation system and related departments can sense the operation risk of the power transmission line in advance, targeted risk reduction operation measures are made, large-area power failure accidents are prevented, and the capability of guaranteeing the safe operation of the power system is improved.
Drawings
Fig. 1 is a schematic block diagram of the present invention.
Fig. 2 is a schematic diagram of the principle of the present invention.
Fig. 3 is a flowchart illustrating the operation of the working node LoRa wireless module according to the present invention.
Fig. 4 is a flow chart of the polling device of the present invention.
Reference numerals: 1. a network communication node portion; 2. a data reading section; 3. a data processing section; 4. a meteorological condition sensor; 5. a line galloping monitoring node; 6. a pole settlement wireless monitoring node; 7. a LoRa module; 8. a polling device; 9. a 4G module; 10. 4G receiving system; 11. a server; 12. and (6) data processing.
Detailed Description
The following describes in detail specific implementation steps of the power disaster monitoring node polling device based on the wireless network according to the present invention with reference to the accompanying drawings.
As shown in fig. 1: a power disaster node polling device based on a wireless network comprises a network communication node (1), a data reading part (2) and a data processing part (3); the data processing part (3) takes the returned data of the data reading part (2) as the basis of calculation. The network communication node part (1) mainly comprises a meteorological condition sensor (4), a line galloping monitoring node (5) and a tower pole settlement wireless monitoring node (6).
The patrol detector (8) is responsible for monitoring meteorological condition monitoring and power disaster monitoring in a certain specified area, and a set of meteorological condition sensors, a series of power transmission towers and power transmission lines are arranged in the specified area. Each power transmission tower pole is provided with a set of tower pole settlement wireless monitoring nodes (6), and each section of power transmission line is provided with a series of line galloping monitoring nodes (5).
The tower pole settlement wireless monitoring node (6) is provided with a reference station and a mobile station, wherein the reference station and the mobile station are both Beidou receivers; during installation, the mobile station is installed at the position of a monitoring point, the reference station is fixed at the fixed point position of a measurement area, and based on the Beidou carrier phase dynamic real-time differential measurement technology, the differential system of the reference station and the mobile station measures the three-dimensional positioning result of the measurement point.
The line galloping monitoring node (5) is formed by installing and fixing a series of acceleration sensors on a power transmission line. When the line waves, the acceleration sensor swings along with the power transmission line, so that the obtained acceleration data are the acceleration data at the nodes of the power transmission line.
The meteorological condition sensor (4) comprises a wind speed sensor, a temperature sensor, an air pressure sensor and a humidity sensor. The meteorological condition sensor (4) is responsible for monitoring meteorological conditions in a certain area, and real-time meteorological data are fed back to the patrol detector (8) through the wireless LoRa module (7).
After receiving the data, the data inspector (8) judges whether a threshold condition that the power disaster is easy to occur is reached. If the judgment is reached, the patrol detector (8) sends an acquisition starting instruction to all power disaster monitoring nodes in the area through the wireless LoRa module (7), the power disaster monitoring nodes start to acquire sensor data after receiving the instruction, and the sensor data are sent to the patrol detector through the LoRa wireless module (7). The data sent at the moment are regarded as the data of the electric power disaster critical control area, and after the data are received by the patrol detector, the data are uniformly packaged and sent to the server (11) for processing based on the 4G module (9) in a remote communication mode after being round-checked.
After receiving the data sent by the polling device (8), the server (11) mainly has the following tasks:
one is as follows: performing secondary integration on acceleration data acquired by an acceleration sensor to obtain displacement information of a position on a line where a sensor node is located, so as to obtain line galloping amplitude and galloping frequency information;
the second step is as follows: data monitored by the tower pole settlement wireless monitoring node (6) are processed, and tower pole settlement data and deformation state data of a tower pole base can be obtained after calculation;
and thirdly: after the data processed through the steps are obtained, analysis and research are needed to be carried out on the monitoring data of the danger control area, factors influencing normal operation of the power facility are classified, a data monitoring sensing layer of the danger control area is constructed, a monitoring data channel of the danger control area is established, and a foundation is laid for data analysis.
Through big data analysis, a visual danger control area big data mining and risk situation early warning system based on a geographic information system can be developed, so that the normal operation of a power grid system is guaranteed.
The foregoing has described the general principles, essential features, and advantages of the invention. It should be understood by those skilled in the art that the above embodiments do not limit the present invention in any way, and all technical solutions obtained by using equivalent alternatives or equivalent variations fall within the scope of the present invention.
Claims (10)
1. Electric power disaster monitoring node patrols and examines ware based on wireless network, its characterized in that: the system comprises a network communication node, a data reading part and a data processing part; the data processing part takes the returned data of the data reading part as the basis of calculation.
2. The power disaster monitoring node patrol inspector based on the wireless network according to claim 1, wherein: the network communication node comprises a meteorological condition sensor assembly and an electric power disaster monitoring node, the meteorological condition sensor assembly comprises a wind speed sensor, a temperature sensor, an air pressure sensor and a humidity sensor, and the electric power disaster monitoring node comprises a line galloping monitoring node and a tower pole settlement monitoring node.
3. The power disaster monitoring node patrol inspector based on the wireless network according to claim 1, wherein: the data reading part is an electric power disaster patrolling device in charge of a certain area; each sensing test point which is responsible for the polling device is distributed in a wider area, and the polling device is responsible for communicating with a wireless network node in the area; the communication mode of the inspection device adopts a long-short combined type wireless communication method, short-distance wireless communication is carried out between the inspection device and each sensing test node, and the inspection device packages data uniformly and sends the data to the server through a remote communication mode after polling the sensing data in the area.
4. The power disaster monitoring node patrol inspector based on the wireless network according to claim 1, wherein: the data processing part takes data sent to the server by the polling device as a calculation basis; the data processing part performs the following functions: firstly, analyzing and processing data of the line galloping monitoring node; analyzing and processing the data of the two pairs of tower pole settlement monitoring nodes; and thirdly, analyzing and processing the high-risk monitoring data of the electric power disasters.
5. The power disaster monitoring node patrol detector based on the wireless network as recited in claim 2, wherein: the line galloping monitoring node is composed of a series of wireless acceleration sensor nodes arranged on the power transmission line.
6. The power disaster monitoring node patrol detector based on the wireless network as recited in claim 2, wherein: the tower pole settlement monitoring node consists of a reference station and a mobile station; the base station and the mobile station are all Beidou receivers, the base station is fixed at a fixed point position of a measurement area, the mobile station is installed at a monitoring point position, and the measurement of the three-dimensional positioning result of the measurement point is carried out by a differential system of the mobile station and the base station through a carrier phase dynamic real-time differential measurement technology.
7. The power disaster monitoring node patrol detector based on the wireless network as recited in claim 3, wherein: the electric power disaster patrolling device receives meteorological data of a meteorological condition sensor in a responsible area, sends a corresponding instruction if the data meets a certain threshold condition, and controls the work, the dormancy and the data receiving and sending of all electric power disaster monitoring nodes in the area; the power disaster patrol detector is uniformly responsible for sending and receiving meteorological condition sensor monitoring data and power disaster monitoring data in a control area to the server.
8. The power disaster monitoring node patroller based on the wireless network according to claim 4, wherein: in the data processing part, for acceleration data monitored by the acceleration sensor, displacement data is obtained by carrying out secondary integration on the acceleration signal, so that the amplitude and the frequency of the line galloping are determined.
9. The power disaster monitoring node patrol detector based on the wireless network as recited in claim 4, wherein: in the data processing part, the analysis and processing of the tower pole data mainly comprise a displacement conversion algorithm part, a tower deformation model part, a vector corner algorithm part and a probability average algorithm part; finally, the deformation of the monitoring surface and the displacement condition of the supporting point of the high-voltage transmission line at the top of the transmission tower can be calculated.
10. The power disaster monitoring node patrol detector based on the wireless network as recited in claim 4, wherein: in the data processing part, analyzing the electric power disaster high-risk data obtained after processing refers to clustering and correlation analysis of the electric power disaster and the environmental data so as to determine fault risk probability and risk level early warning data, realize typical fault risk assessment and solve the quantization problem of the electric power disaster.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113673582A (en) * | 2021-07-30 | 2021-11-19 | 西南交通大学 | Railway dynamic datum point multi-level clustering method based on system clustering analysis |
CN114216477A (en) * | 2021-11-09 | 2022-03-22 | 国网江苏省电力有限公司盐城供电分公司 | Power transmission line galloping monitoring system based on IMU |
CN114216497A (en) * | 2021-11-09 | 2022-03-22 | 国网江苏省电力有限公司盐城供电分公司 | Multifunctional monitoring module for power transmission line |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103247151A (en) * | 2013-04-08 | 2013-08-14 | 哈尔滨工程大学 | Geological disaster monitoring system |
CN104574832A (en) * | 2014-12-30 | 2015-04-29 | 杭州鲁尔物联科技有限公司 | Geological disaster monitoring and early warning system and method using wireless sensor network |
CN104778517A (en) * | 2015-04-30 | 2015-07-15 | 国家电网公司 | Microclimate disaster early warning method and system based on microclimate and satellite remote sensing data |
CN204496657U (en) * | 2014-12-30 | 2015-07-22 | 杭州鲁尔物联科技有限公司 | A kind of wireless sensor network Geological Hazards Monitoring early warning system |
-
2020
- 2020-10-16 CN CN202011110160.3A patent/CN112637802A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103247151A (en) * | 2013-04-08 | 2013-08-14 | 哈尔滨工程大学 | Geological disaster monitoring system |
CN104574832A (en) * | 2014-12-30 | 2015-04-29 | 杭州鲁尔物联科技有限公司 | Geological disaster monitoring and early warning system and method using wireless sensor network |
CN204496657U (en) * | 2014-12-30 | 2015-07-22 | 杭州鲁尔物联科技有限公司 | A kind of wireless sensor network Geological Hazards Monitoring early warning system |
CN104778517A (en) * | 2015-04-30 | 2015-07-15 | 国家电网公司 | Microclimate disaster early warning method and system based on microclimate and satellite remote sensing data |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113673582A (en) * | 2021-07-30 | 2021-11-19 | 西南交通大学 | Railway dynamic datum point multi-level clustering method based on system clustering analysis |
CN113673582B (en) * | 2021-07-30 | 2023-05-09 | 西南交通大学 | Railway dynamic datum point multilayer level clustering method based on systematic cluster analysis |
CN114216477A (en) * | 2021-11-09 | 2022-03-22 | 国网江苏省电力有限公司盐城供电分公司 | Power transmission line galloping monitoring system based on IMU |
CN114216497A (en) * | 2021-11-09 | 2022-03-22 | 国网江苏省电力有限公司盐城供电分公司 | Multifunctional monitoring module for power transmission line |
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