CN111476176B - Early warning system and early warning method for power grid waterlogging area identification - Google Patents

Early warning system and early warning method for power grid waterlogging area identification Download PDF

Info

Publication number
CN111476176B
CN111476176B CN202010275033.2A CN202010275033A CN111476176B CN 111476176 B CN111476176 B CN 111476176B CN 202010275033 A CN202010275033 A CN 202010275033A CN 111476176 B CN111476176 B CN 111476176B
Authority
CN
China
Prior art keywords
module
image
early warning
query
power grid
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010275033.2A
Other languages
Chinese (zh)
Other versions
CN111476176A (en
Inventor
孙再超
周仿荣
颜冰
钱国超
马御棠
金晶
赵亚光
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Electric Power Research Institute of Yunnan Power Grid Co Ltd
Original Assignee
Electric Power Research Institute of Yunnan Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Electric Power Research Institute of Yunnan Power Grid Co Ltd filed Critical Electric Power Research Institute of Yunnan Power Grid Co Ltd
Priority to CN202010275033.2A priority Critical patent/CN111476176B/en
Publication of CN111476176A publication Critical patent/CN111476176A/en
Application granted granted Critical
Publication of CN111476176B publication Critical patent/CN111476176B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/13—Satellite images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/251—Fusion techniques of input or preprocessed data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
    • Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Game Theory and Decision Science (AREA)
  • Health & Medical Sciences (AREA)
  • Educational Administration (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Multimedia (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Astronomy & Astrophysics (AREA)
  • Remote Sensing (AREA)
  • Evolutionary Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computational Linguistics (AREA)
  • Geometry (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Alarm Systems (AREA)

Abstract

The application discloses a pre-warning system and a pre-warning method for power grid waterlogging area identification. The aerial subsystem includes a remote sensing satellite. The remote sensing satellite is provided with an image module and a first communication module, and the image module is connected with the ground subsystem through the first communication module. The ground subsystem comprises a second communication module, an image processing module, a data processing module, an evaluation module, a display and query module and an early warning module which are sequentially connected. The image module acquires an image. And the image processing module obtains a disaster information map. And the data processing module obtains a water body inundation information map. And the evaluation module carries out comprehensive evaluation on the disaster situation according to the water body inundation information graph. And the display and query module evaluates the result in real time and queries the historical condition. And the early warning module gives early warning prompts according to the disaster early warning calculation model. In the application, the monitoring under severe conditions can be realized through each module of the aerial subsystem and the ground subsystem, and the monitoring has real-time performance.

Description

Early warning system and early warning method for power grid waterlogging area identification
Technical Field
The application relates to the field of power grid disaster monitoring, in particular to a pre-warning system and a pre-warning method for power grid waterlogging area identification.
Background
The transmission line and the transformer substation are the most important infrastructure in the electrical facility, and the operation state of the transmission line and the transformer substation determines the stability and the safety of the whole power grid, so that the enhancement of the safe operation and maintenance of the transmission line and the transformer substation is very important to improve the disaster prevention and resistance level of the transmission line. At present, the weak point in the field is how to utilize the modern information technology to effectively early warn, monitor disaster and make post-disaster evaluation work, so that the research and development of a disaster prevention and reduction system for early warning, monitoring and evaluation of power transmission line disasters has important significance, the capability of electric power enterprises for coping with disasters can be improved, and the national economy is served more safely and reliably.
The current disaster monitoring means of the power grid mainly comprises manual inspection and sensor monitoring, and the problems of monitoring and managing the local range line and tower environment can be solved to a certain extent.
However, manual inspection cannot realize real-time monitoring, and various sensors can be only mounted on a part of iron towers with relatively good communication conditions and relatively important communication conditions, so that the conditions of large-scale disaster damage and early warning are difficult to reflect comprehensively, and stable and continuous work is difficult to perform in a severe environment. Therefore, an early warning system and an early warning method for identifying a power grid waterlogging area are needed.
Disclosure of Invention
The application provides a power grid waterlogging area identification early warning system and method, which aim to solve the technical problems that manual inspection cannot realize real-time monitoring and work is difficult under severe conditions.
In order to solve the above problems, the present application provides the following technical solutions:
the utility model provides an early warning system of power grid waterlogging area discernment, includes aerial subsystem and ground subsystem, aerial subsystem and ground subsystem communication connection, wherein: the aerial subsystem comprises a remote sensing satellite, an image module, a positioning module and a first communication module are arranged on the remote sensing satellite, and the image module and the positioning module are connected with the ground subsystem through the first communication module; the ground subsystem comprises a second communication module, an image processing module, a data processing module, a database module, an evaluation module, a display and query module and an early warning module, and the second communication module, the image processing module, the data processing module, the evaluation module, the display and query module and the early warning module are sequentially in communication connection; the image processing module and the display and query module are respectively in communication connection with the air subsystem through a second communication module; the image processing module, the data processing module, the evaluation module and the display and query module are respectively in communication connection with the database module; the image module is used for acquiring images of the power grid channel within 10 kilometers; the image processing module is used for fusing the images by using a multi-source remote sensing image processing technology to form a new disaster information graph; the data processing module is used for extracting water body information in the disaster information graph and calculating the area of the water body to obtain a water body inundation information graph; the evaluation module is used for comprehensively evaluating the disaster in the power grid channel according to the water body submerging information graph; the display and query module is used for displaying the evaluation result in the power grid channel and querying the historical condition in real time; the early warning module is used for carrying out calculation analysis on monitoring information according to the disaster early warning calculation model and giving early warning prompts, and the monitoring information comprises evaluation results.
Optionally, the image module includes a first image module and a second image module, and the first image module and the second image module are respectively in communication connection with the first communication module; the first image module is used for acquiring a TM image within 10 kilometers of a power grid channel; the second image module is used for acquiring SAR images within 10 kilometers of the power grid channel.
Optionally, the ground subsystem further comprises a marking module, and the marking module is in communication connection with the database module and the second communication module respectively; the marking module is used for acquiring the position topographic characteristics of lakes, reservoirs, rivers, debris flows, transformer substations and power transmission line towers within 10 kilometers of a power grid channel and marking the positions topographic characteristics.
Optionally, the ground subsystem further comprises a weather module, the weather module is in communication connection with the display and query module, the weather module is used for acquiring weather information of the power grid channel and water levels of lakes, reservoirs and rivers from a national information center, and the weather information comprises air temperature, humidity, ground temperature, wind direction, wind speed, precipitation, sunlight, air pressure and weather phenomena.
Optionally, the positioning module is configured to view grid channel geographical location information.
A power grid waterlogging area identification early warning method comprises the following steps: the display and query module sends out a query instruction, wherein the query instruction comprises a query place; the query instruction is transmitted to a positioning module carried by the remote sensing satellite through a second communication module and a first communication module; the remote sensing satellite reaches a corresponding position according to the positioning module and the query instruction, and an image acquisition module is used for acquiring an image corresponding to a query place; the image is transmitted to the image processing module through the first communication module and the second communication module; the image processing module fuses the images by using a multi-source remote sensing image processing technology to form a new disaster information map, and sends the disaster information map to the data processing module; the data processing module extracts water body information in the disaster information graph, calculates the area of the water body to obtain a water body submerging information graph, and sends the water body submerging information graph to the evaluation module; the evaluation module comprehensively evaluates disaster conditions in the power grid channel according to the water body submergence information graph and obtains an evaluation result; the display and query module displays the evaluation result in the power grid channel and historical condition query in real time; and the early warning module performs calculation analysis on the monitoring information according to the disaster early warning calculation model and gives early warning prompts.
Has the beneficial effects that: the early warning system comprises an air subsystem and a ground subsystem, wherein the air subsystem is in communication connection with the ground subsystem. The airborne subsystem includes a remote sensing satellite. The remote sensing satellite is provided with an image module, a positioning module and a first communication module, wherein the image module and the positioning module are connected with the ground subsystem through the first communication module. The ground subsystem comprises a second communication module, an image processing module, a data processing module, a database module, an evaluation module, a display and query module and an early warning module, and the second communication module, the image processing module, the data processing module, the evaluation module, the display and query module and the early warning module are sequentially in communication connection. The image processing module and the display and query module are respectively in communication connection with the air subsystem through the second communication module. The image processing module, the data processing module, the evaluation module and the display and query module are respectively in communication connection with the database module. The image module is used for acquiring images within 10 kilometers of the power grid channel. And the image processing module is used for fusing the images by using a multi-source remote sensing image processing technology to form a new disaster information image. And the data processing module is used for extracting the water body information in the new disaster information graph and calculating the water body area to obtain a water body submerging information graph. And the evaluation module is used for comprehensively evaluating the disaster in the power grid channel according to the water body submergence information graph. And the display and query module is used for displaying the evaluation result in the power grid channel and querying the historical condition in real time. And the early warning module is used for carrying out calculation analysis on the monitoring information according to the disaster early warning calculation model and giving an early warning prompt. In the application, the monitoring under severe conditions can be realized through each module of the aerial subsystem and the ground subsystem, and the monitoring has real-time performance.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is a schematic structural diagram of an early warning system for power grid flood area identification provided by the application;
fig. 2 is a flowchart of an early warning method for power grid flood area identification.
Detailed Description
Referring to fig. 1, a schematic structural diagram of an early warning system for power grid waterlogging area identification is provided, and the system provided by the present application includes an air subsystem and a ground subsystem, and the air subsystem is in communication connection with the ground subsystem. The airborne subsystem includes a remote sensing satellite. The remote sensing satellite is provided with an image module, a positioning module and a first communication module, wherein the image module and the positioning module are connected with the ground subsystem through the first communication module. The ground subsystem comprises a second communication module, an image processing module, a data processing module, a database module, an evaluation module, a display and query module and an early warning module, and the second communication module, the image processing module, the data processing module, the evaluation module, the display and query module and the early warning module are sequentially in communication connection. The image processing module and the display and query module are respectively in communication connection with the air subsystem through the second communication module. The image processing module, the data processing module, the evaluation module and the display and query module are respectively in communication connection with the database module. The image module is used for acquiring images within 10 kilometers of the power grid channel. And the image processing module is used for fusing the images by using a multi-source remote sensing image processing technology to form a new disaster information map. And the data processing module is used for extracting the water body information in the new disaster information graph and calculating the water body area to obtain a water body submerging information graph. And the evaluation module is used for comprehensively evaluating the disaster in the power grid channel according to the water body submergence information graph. And the display and query module is used for displaying the evaluation result in the power grid channel and querying the historical condition in real time. And the early warning module is used for carrying out calculation analysis on the monitoring information according to the disaster early warning calculation model and giving an early warning prompt. In the application, monitoring under severe conditions can be realized through each module of the aerial subsystem and the ground subsystem, and the monitoring has real-time performance.
The early warning can be carried out before, during and after the disaster in the application through the following steps. The method comprises the following specific steps:
the display and query module sends out a query instruction, wherein the query instruction comprises a query place; the query instruction is transmitted to a positioning module carried by the remote sensing satellite through a second communication module and a first communication module; the remote sensing satellite reaches a corresponding position according to the positioning module and the query instruction, and an image acquisition module is used for acquiring an image corresponding to a query place; the image is transmitted to the image processing module through the first communication module and the second communication module; the image processing module fuses the images by using a multi-source remote sensing image processing technology to form a new disaster information map and sends the disaster information map to the data processing module; the data processing module extracts water body information in the disaster information graph, calculates the area of the water body to obtain a water body submerging information graph, and sends the water body submerging information graph to the evaluation module; the evaluation module comprehensively evaluates the disaster in the power grid channel according to the water body submerging information graph and obtains an evaluation result; the display and query module displays the evaluation result in the power grid channel and queries the historical condition in real time; and the early warning module performs calculation analysis on the monitoring information according to the disaster early warning calculation model and gives early warning prompts.
Through the steps, the power grid disaster situation can be early warned before the disaster occurs; in disaster, regional disaster trend prediction can be further carried out according to the disaster degree, and support is provided for power grid flood disaster rush repair; after the disaster, the probability of disaster recurrence in the area can be evaluated, and post-disaster monitoring is carried out.
In order to obtain an accurate image, in the embodiment of the application, the image module comprises a first image module and a second image module, and the first image module and the second image module are respectively in communication connection with the first communication module; the first image module is used for acquiring a TM image within 10 kilometers of a power grid channel; the second image module is used for acquiring SAR images within 10 kilometers of the power grid channel.
In order to accurately obtain the position and the topographic condition of the key area, in the embodiment of the application, the ground subsystem further comprises a marking module, and the marking module is respectively in communication connection with the database module and the second communication module; the marking module is used for acquiring the position topographic characteristics of lakes, reservoirs, rivers, debris flows, transformer substations and power transmission line towers within 10 kilometers of a power grid channel and marking the positions topographic characteristics. According to the method and the device, the positions of lakes, reservoirs, rivers, debris flows, transformer substations and power transmission line towers can be marked in the obtained TM images and SAR images through the marking module, and the positions and the topographic conditions of key areas of the images are conveniently identified.
In order to consider the influence of the weather condition on the monitoring, in the embodiment of the application, the ground subsystem further comprises a meteorological module, the meteorological module is in communication connection with the display and query module, the meteorological module is used for acquiring meteorological information of a power grid channel and water levels of lakes, reservoirs and rivers from a national information center, and the meteorological information comprises air temperature, humidity, ground temperature, wind direction, wind speed, precipitation, sunlight, air pressure and weather phenomena. When weather conditions are considered, the weather module acquires weather information of a national center, the display and query module sends out a query instruction according to the weather information, the query instruction is transmitted to a positioning module carried on the remote sensing satellite through the second communication module and the first communication module, and the remote sensing satellite reaches a corresponding position according to the positioning module and the query instruction. Acquiring an image corresponding to the query place by using an image acquisition module; the image is transmitted to the image processing module through the first communication module and the second communication module; the image processing module fuses the images by using a multi-source remote sensing image processing technology to form a new disaster information map and sends the disaster information map to the data processing module; the data processing module extracts water body information in the disaster information graph, calculates the water body area to obtain a water body submerging information graph, and sends the water body submerging information graph to the evaluation module; the evaluation module comprehensively evaluates disaster conditions in the power grid channel according to the water body submergence information graph and obtains an evaluation result; the display and query module displays the evaluation result in the power grid channel and historical condition query in real time; and the early warning module performs calculation analysis on the monitoring information according to the disaster early warning calculation model and gives early warning prompts.
In order to facilitate the remote sensing satellite to accurately reach the designated position, in the embodiment of the application, the positioning module is used for checking the geographical position information of the power grid channel.
Referring to fig. 2, a flowchart of an early warning method for power grid waterlogging area identification provided by the present application indicates that the method includes:
s100: the display and query module sends out a query instruction, and the query instruction comprises a query place.
S200: and the query instruction is transmitted to a positioning module carried by the remote sensing satellite through the second communication module and the first communication module.
S300: and the remote sensing satellite reaches a corresponding position according to the positioning module and the query instruction, and an image acquisition module is used for acquiring an image corresponding to the query place.
S400: the image is transmitted to the image processing module through the first communication module and the second communication module.
S500: the image processing module fuses the images by using a multi-source remote sensing image processing technology to form a new disaster information map, and sends the disaster information map to the data processing module.
S600: the data processing module extracts water body information in the disaster information graph, calculates the area of the water body to obtain a water body submerging information graph, and sends the water body submerging information graph to the evaluation module.
S700: and the evaluation module comprehensively evaluates the disaster in the power grid channel according to the water body submerging information graph and obtains an evaluation result.
S800: and the display and query module displays the evaluation result in the power grid channel and the historical condition query in real time.
S900: and the early warning module performs calculation analysis on the monitoring information according to the disaster early warning calculation model and gives early warning prompts.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
The above-described embodiments of the present application do not limit the scope of the present application.

Claims (6)

1. The early warning system for power grid waterlogging area identification is characterized by comprising an air subsystem and a ground subsystem, wherein the air subsystem is in communication connection with the ground subsystem, and the early warning system comprises:
the aerial subsystem comprises a remote sensing satellite, an image module, a positioning module and a first communication module are arranged on the remote sensing satellite, and the image module and the positioning module are connected with the ground subsystem through the first communication module;
the ground subsystem comprises a second communication module, an image processing module, a data processing module, a database module, an evaluation module, a display and query module and an early warning module, and the second communication module, the image processing module, the data processing module, the evaluation module, the display and query module and the early warning module are sequentially in communication connection;
the image processing module and the display and query module are respectively in communication connection with the air subsystem through the second communication module;
the image processing module, the data processing module, the evaluation module and the display and query module are respectively in communication connection with the database module;
the image module is used for acquiring images within 10 kilometers of a power grid channel;
the image processing module is used for fusing images by using a multi-source remote sensing image processing technology to form a new disaster information map;
the data processing module is used for extracting water body information in the disaster information graph and calculating the area of the water body to obtain a water body submerging information graph;
the evaluation module is used for comprehensively evaluating the disaster condition in the power grid channel according to the water body submergence information graph;
the display and query module is used for displaying the evaluation result in the power grid channel and querying the historical condition in real time;
the early warning module is used for carrying out calculation analysis on monitoring information according to the disaster early warning calculation model and giving early warning prompts, and the monitoring information comprises evaluation results.
2. The early warning system of claim 1, wherein the image module comprises a first image module and a second image module, and the first image module and the second image module are respectively in communication connection with a first communication module;
the first image module is used for acquiring a TM image within 10 kilometers of a power grid channel;
and the second image module is used for acquiring the SAR image within 10 kilometers of the power grid channel.
3. The early warning system of claim 1, wherein the ground subsystem further comprises a tagging module, and the tagging module is in communication connection with the database module and the second communication module, respectively;
the marking module is used for acquiring the position topographic characteristics of lakes, reservoirs, rivers, debris flows, transformer substations and power transmission line towers within 10 kilometers of the power grid channel and identifying the positions topographic characteristics.
4. The early warning system of claim 1, wherein the ground subsystem further comprises a weather module, the weather module is in communication with the display and query module, the weather module is configured to obtain weather information of the grid channel and water levels of lakes, reservoirs and rivers from a national information center, and the weather information includes air temperature, humidity, ground temperature, wind direction, wind speed, precipitation, sunshine, air pressure and weather phenomena.
5. The early warning system of claim 1, wherein the positioning module is configured to view grid corridor geographic location information.
6. A pre-warning method for power grid waterlogging area identification is characterized by comprising the following steps:
the display and query module sends out a query instruction, wherein the query instruction comprises a query place;
the query instruction is transmitted to a positioning module carried by a remote sensing satellite through a second communication module and a first communication module;
the remote sensing satellite reaches a corresponding position according to the positioning module and the query instruction, and an image acquisition module is used for acquiring an image corresponding to the query place;
the image is transmitted to an image processing module through a first communication module and a second communication module;
the image processing module fuses images by using a multi-source remote sensing image processing technology to form a new disaster information map and sends the disaster information map to the data processing module;
the data processing module extracts water body information in the disaster information graph, calculates the area of the water body to obtain a water body submerging information graph, and sends the water body submerging information graph to the evaluation module;
the evaluation module comprehensively evaluates disaster conditions in the power grid channel according to the water body submergence information graph and obtains an evaluation result;
the display and query module displays the evaluation result in the power grid channel and historical condition query in real time;
and the early warning module performs calculation analysis on the monitoring information according to the disaster early warning calculation model and gives early warning prompt.
CN202010275033.2A 2020-04-09 2020-04-09 Early warning system and early warning method for power grid waterlogging area identification Active CN111476176B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010275033.2A CN111476176B (en) 2020-04-09 2020-04-09 Early warning system and early warning method for power grid waterlogging area identification

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010275033.2A CN111476176B (en) 2020-04-09 2020-04-09 Early warning system and early warning method for power grid waterlogging area identification

Publications (2)

Publication Number Publication Date
CN111476176A CN111476176A (en) 2020-07-31
CN111476176B true CN111476176B (en) 2023-04-07

Family

ID=71751389

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010275033.2A Active CN111476176B (en) 2020-04-09 2020-04-09 Early warning system and early warning method for power grid waterlogging area identification

Country Status (1)

Country Link
CN (1) CN111476176B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112099016A (en) * 2020-11-09 2020-12-18 中国水利水电科学研究院 Heaven-earth collaborative flood situation emergency monitoring system and method
CN114664041B (en) * 2022-03-15 2022-12-02 中科海慧（北京）科技有限公司 Multi-sensor fusion early warning prediction method based on deep learning

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105809372A (en) * 2016-04-20 2016-07-27 国家电网公司 Natural disaster risk monitoring system based on satellite remote sensing image
CN205581960U (en) * 2016-04-20 2016-09-14 国家电网公司 Natural disasters risk monitoring system based on satellite remote sensing image
CN108182678A (en) * 2017-12-26 2018-06-19 程丹秋 A kind of accurate Natural calamity monitoring early warning system of early warning

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105809372A (en) * 2016-04-20 2016-07-27 国家电网公司 Natural disaster risk monitoring system based on satellite remote sensing image
CN205581960U (en) * 2016-04-20 2016-09-14 国家电网公司 Natural disasters risk monitoring system based on satellite remote sensing image
CN108182678A (en) * 2017-12-26 2018-06-19 程丹秋 A kind of accurate Natural calamity monitoring early warning system of early warning

Also Published As

Publication number Publication date
CN111476176A (en) 2020-07-31

Similar Documents

Publication Publication Date Title
CN103337133B (en) Based on the electrical network Thunderstorm early warning system and the method that identify forecasting technique
CN106023530B (en) A kind of heavy rain type diluted debris flow monitoring and prediction method for early warning
CN110853408A (en) Offshore wind farm electronic fence and acousto-optic early warning device and method
CN111476176B (en) Early warning system and early warning method for power grid waterlogging area identification
CN110708114B (en) Optical cable line fault positioning and visualization method and system based on AI image identification
CN106373070B (en) A kind of four pre- methods for coping with urban rainstorm waterlogging
CN105069558A (en) Warning and analyzing method for power facility damage based on meteorological data
CN101819245A (en) Monitoring method and system of transmission line
CN104950348B (en) The correlating method of a kind of weather data and electrical network facilities and system
CN109541602B (en) Doppler radar meteorological vectorization power grid fine early warning and regulation and control system
CN107657336B (en) Power transmission and distribution equipment typhoon early warning system based on microclimate and microtopography
CN104849777A (en) Power grid equipment area convection weather forecasting method based on cross correlation tracking method
CN112485503B (en) Stray current measuring system and method based on big data processing
CN105655920A (en) Multifunctional air-ground dual-purpose electric unmanned aerial vehicle
CN111508277B (en) Navigation early warning method and early warning system for ships in water area of bridge area
CN112398926A (en) Power transmission line state on-line monitoring and safety situation sensing system
CN109784683A (en) A kind of power grid wide area meteorological disaster integrated campaign method
CN112637802A (en) Power disaster monitoring node patrol detector based on wireless network
CN111856453A (en) Transformer substation perimeter airspace foreign matter intrusion monitoring system based on radar probe
CN104808260A (en) Power gird radar early warning method based on GIS
CN209417901U (en) Mountain flood dynamic early-warning system based on soil moisture content real time correction
CN114021766A (en) Urban water safety prediction method based on Internet of things and big data
CN210865118U (en) Offshore wind farm electronic fence and acousto-optic early warning equipment
CN106935047B (en) Overweight dynamic detection system and method
CN113866849A (en) Intelligent inland river shipping meteorological service guarantee system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant