CN114611253A - Multi-source data fusion method for power transmission line cloud design - Google Patents
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Abstract
The invention discloses a multi-source data fusion method for power transmission line cloud design, which comprises the following steps: the first step is as follows: collecting data; data collection is carried out, the types of the collected data are more, and the types of the data comprise: satellite images, live-action three-dimensional models, laser point clouds, basic geographic data, GIM and other channel data; the second step is that: data cleaning; the third step: data conversion; the fourth step: and (6) data fusion. The planning and design work of the power transmission line can effectively optimize the line trend, reduce disputes and public opinions and reduce engineering cost by comprehensively considering surrounding ground objects and environments before line construction, and workers at the later stage can obtain effective data information through the work; the multi-source data fusion technology is one of novel technologies, can effectively integrate various data information, can obtain comprehensive and accurate data information data on the basis, can effectively improve the quality of design results, and enriches the application range of the results.
Description
Technical Field
The invention relates to the technical field of geographic information technology and photogrammetry, in particular to a multisource data fusion method for power transmission line cloud design.
Background
With the increasing level of science and technology, data acquisition means for line channel corridors are continuously abundant, and various technologies such as satellite remote sensing, oblique photogrammetry, laser radar, GIM and the like are used for the optimization design work of the power transmission line. The data that different technological means acquireed possess different characteristics, and the satellite image can reflect the whole condition in passageway corridor, and the slope model can present the true scene of circuit, and the spatial relationship of ground object in the passageway corridor can be described to the laser point cloud, and basic geographic data can help understanding the peripheral human geomorphology in corridor, and the deviation of GIM model ability control work progress and design. The problem of the optimal design of the power transmission line can be well solved by the achievement data fusion obtained by various technical means.
The traditional line optimization line selection work based on a single data source is limited by the limits of technology and processing capacity, the problems of low achievement resolution, ambiguous spatial relationship and long data acquisition period exist, and the efficiency and the achievement quality of line optimization design are influenced to a certain extent.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a multi-source data fusion method for power transmission line cloud design, and solves the defect problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a multi-source data fusion method for power transmission line cloud design comprises the following process steps:
the first step is as follows: data collection
Data collection is carried out, the types of the collected data are more, and the types of the data comprise: satellite images, live-action three-dimensional models, laser point clouds, basic geographic data, GIM and other channel data;
the second step is that: data cleansing
The collected data is examined and checked, repeated data information is deleted, error data is corrected, and the consistent format of the same data is ensured;
the third step: data conversion
Carrying out format conversion on different types of data so as to load the data on the same data platform;
the fourth step: data fusion
Fusing data together to form a group of data sources aiming at different types of data combinations;
the data cleaning is to sort and integrate the collected data and compare the data, the data cleaning is controlled and managed through a corresponding program, the corresponding data is classified and arranged through program equipment, and integration is firstly carried out based on classified data to eliminate repeated data; correcting the data to correct the wrong data in the classified data, thereby recovering data information; then, carrying out overlapping interaction on different types of data, and then continuously removing repeated data to finish data cleaning;
the data conversion is realized aiming at different types of data, and the data conversion is realized by converting the data of each type into the same format, so that the data formats are the same, and the data fusion of the next step is facilitated;
data fusion, namely analyzing and comprehensively processing result data acquired by a plurality of sensors, such as satellite images, tilt models, data of the Internet of things, data acquired by an online perception sensor and models established by forward three-dimensional design by using a computer, and deriving more effective information by optimizing and combining the data;
(1) live-action three-dimensional model + GIM
Three-dimensional modeling of a power transmission line corridor, a power line and a tower can be effectively carried out through GIM and live-action three-dimensional model fusion, and the state of a lead is simulated when the line runs so as to detect the influence on surrounding ground objects in the running process;
(2) satellite image + basic geographic information
Fusing the processed satellite images and collected information of peripheral administrative districts, natural protection areas, factories and mines and the like to assist in knowing the peripheral conditions of the power channel corridor;
(3) GIM + Internet of things + online sensing sensor
And (3) mounting data returned by the online sensor on site at key nodes on the GIM, updating in real time by using a 5G network, constructing the Internet of things by combining sensing equipment of different nodes and the 5G network, fusing with the GIM model, detecting the site condition in real time and carrying out safety early warning.
Preferably, the format of the data conversion may be selected according to the data category, and the format category may be: and (3) one of channel data such as satellite images, live-action three-dimensional models, laser point clouds, basic geographic data and GIMs.
Preferably, the data fusion is performed on the same target data, and the fused data has no repeated part.
Preferably, the data cleansing includes an audit check and a deduplication error correction, and the audit check and the deduplication error correction can be performed simultaneously.
Preferably, the data conversion further comprises a data storage for storing data, so as to facilitate later extraction of the data.
Preferably, the data fusion also comprises data storage, which is used for storing the fused data, so that the data can be conveniently extracted at a later stage.
The beneficial effects are as follows:
the planning and design work of the power transmission line can effectively optimize the line trend and reduce the engineering cost by comprehensively considering surrounding ground objects and environment before line construction, and workers at the later stage can obtain effective data information through the work; the multi-source data fusion technology is one of novel technologies, can effectively integrate various data information, can obtain comprehensive and accurate data information data on the basis, and can effectively improve the quality of design results.
Detailed Description
All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The invention provides a technical scheme that: a multi-source data fusion method for power transmission line cloud design comprises the following process steps:
the first step is as follows: data collection
Data collection is carried out, the types of the collected data are more, and the types of the data comprise: satellite images, live-action three-dimensional models, laser point clouds, basic geographic data, GIM and other channel data;
the second step is that: data cleansing
The collected data is examined and checked, repeated data information is deleted, error data is corrected, and the consistent format of the same data is ensured; the data cleaning is to sort and integrate the collected data and compare the data, the data cleaning is controlled and managed through a corresponding program, the corresponding data is classified and arranged through program equipment, and integration is firstly carried out based on classified data to eliminate repeated data; correcting the data to correct the wrong data in the classified data, thereby recovering data information; then, carrying out overlapping interaction on different types of data, and then continuously removing repeated data to finish data cleaning;
the third step: data conversion
Carrying out format conversion on different types of data so as to load the data on the same data platform; the data conversion is realized aiming at different types of data, and the data conversion is realized by converting the data of each type into the same format, so that the data formats are the same, and the data fusion of the next step is facilitated;
the fourth step: data fusion
Fusing data together to form a group of data sources aiming at different types of data combinations; data fusion, namely analyzing and comprehensively processing result data acquired by a plurality of sensors, such as satellite images, an inclined model, Internet of things data, data acquired by an online perception sensor and a model established by forward three-dimensional design by using a computer, and deriving more effective information by optimally combining the data according to the application requirements of engineering;
(1) live-action three-dimensional model + GIM
Three-dimensional modeling of a power transmission line corridor, a power line and a tower can be effectively carried out through GIM and live-action three-dimensional model fusion, and the state of a lead is simulated when the line runs so as to detect the influence on surrounding ground objects in the running process;
(2) satellite image + basic geographic information
Fusing the processed satellite images and collected information of peripheral administrative districts, natural protection areas, factories and mines and the like to assist in knowing the peripheral conditions of the power channel corridor;
(3) GIM + Internet of things + online sensing sensor
And (3) mounting data returned by the online sensor on site at key nodes on the GIM, updating in real time by using a 5G network, constructing the Internet of things by combining sensing equipment of different nodes and the 5G network, fusing with the GIM model, detecting the site condition in real time and carrying out safety early warning.
The invention has the technical effects that:
the planning and design work of the power transmission line can effectively optimize the line trend and reduce the engineering cost by comprehensively considering surrounding ground objects and environments before line construction, and workers in the later period can obtain effective data information through the work. The multi-source data fusion technology is one of novel technologies, not only can effectively integrate various data information, but also can obtain comprehensive and accurate data information data on the basis, and can effectively improve the quality of design results;
the multi-source data fusion technology is a technology for integrating all information obtained by investigation and analysis by using relevant means, and performing unified evaluation on the information to finally obtain unified information. The technology is developed for integrating various data information, absorbing the characteristics of different data sources and then extracting uniform, better and richer information than single data.
It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A multi-source data fusion method for power transmission line cloud design is characterized in that: the method comprises the following steps:
the first step is as follows: data collection
Data collection is carried out, the types of the collected data are more, and the types of the data comprise: satellite images, live-action three-dimensional models, laser point clouds, basic geographic data, GIM and other channel data;
the second step is that: data cleansing
The collected data is examined and checked, repeated data information is deleted, error data is corrected, and the consistent format of the same data is ensured;
the third step: data conversion
Carrying out format conversion on different types of data, so that various types of data can be loaded on the same data platform and displayed in a superposition manner under the same coordinate system;
the fourth step: data fusion
Fusing data together to form a group of data sources aiming at different types of data combinations;
the data cleaning is to sort and integrate the collected data and compare the data, the data cleaning is controlled and managed through a corresponding program, the corresponding data is classified and arranged through program equipment, and integration is firstly carried out based on classified data to eliminate repeated data; correcting the data to correct the wrong data in the classified data, thereby recovering data information; then, carrying out overlapping interaction on different types of data, and then continuously removing repeated data to finish data cleaning;
the data conversion is realized aiming at different types of data, and the data conversion is realized by converting the data of each type into the same format, so that the data formats are the same, and the data fusion of the next step is facilitated;
data fusion, namely analyzing and comprehensively processing result data acquired by a plurality of sensors, such as satellite images, tilt models, data of the Internet of things, data acquired by an online perception sensor and models established by forward three-dimensional design by using a computer, and deriving more effective information by optimally combining the data according to application requirements of engineering;
(1) live-action three-dimensional model + GIM
Three-dimensional modeling of a power transmission line corridor, a power line and a tower can be effectively carried out through GIM and live-action three-dimensional model fusion, and the state of a lead is simulated when the line runs so as to detect the influence on surrounding ground objects in the running process;
(2) satellite image + basic geographic information
Fusing the processed satellite images and collected information of peripheral administrative districts, natural protection areas, factories and mines and the like to assist in knowing the peripheral conditions of the power channel corridor;
(3) GIM + Internet of things + online sensing sensor
And (3) mounting data returned by the online sensor on site at key nodes on the GIM, updating in real time by using a 5G network, constructing the Internet of things by combining sensing equipment of different nodes and the 5G network, fusing with the GIM model, detecting the site condition in real time and carrying out safety early warning.
2. The multi-source data fusion method for the cloud design of the power transmission line according to claim 1, characterized in that: the format of the data conversion can be selected according to the data types, and the format types can be as follows: and (3) one of channel data such as satellite images, live-action three-dimensional models, laser point clouds, basic geographic data and GIMs.
3. The multi-source data fusion method for the cloud design of the power transmission line according to claim 1, characterized in that: and the data fusion is carried out aiming at the same target data, and the fused data has no repeated part.
4. The multi-source data fusion method for the cloud design of the power transmission line according to claim 1, characterized in that: the data cleaning comprises audit checking and deduplication error correction, and the audit checking and the deduplication error correction can be carried out simultaneously.
5. The multi-source data fusion method for the cloud design of the power transmission line according to claim 1, characterized in that: the data conversion also comprises data storage for storing data, so that the data can be conveniently extracted at the later stage.
6. The multi-source data fusion method for the cloud design of the power transmission line according to claim 1, characterized in that: the data fusion also comprises data storage for storing the fused data, so that the data can be conveniently extracted at the later stage.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117371949A (en) * | 2023-10-24 | 2024-01-09 | 国网山东省电力公司建设公司 | Three-dimensional visual model-based power transmission line construction safety monitoring method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103020871A (en) * | 2012-12-05 | 2013-04-03 | 陕西电力科学研究院 | Electric power transmission line and disaster geographic information system |
| CN106779407A (en) * | 2016-12-15 | 2017-05-31 | 国网浙江省电力公司杭州供电公司 | A kind of electric power data fusion method based on data pool |
| CN110188156A (en) * | 2019-06-04 | 2019-08-30 | 国家电网有限公司 | A kind of work transmission line three dimensional design achievement key message extracting method and system |
| CN111368450A (en) * | 2020-03-13 | 2020-07-03 | 国网湖南省电力有限公司 | BIM-based GIM digital model modeling method for power transmission and transformation project |
| CN112836352A (en) * | 2021-01-12 | 2021-05-25 | 中国电建集团贵州电力设计研究院有限公司 | Power transmission line model generation method integrating three-dimensional design and laser point cloud |
| WO2021168989A1 (en) * | 2020-02-28 | 2021-09-02 | 广东电网有限责任公司电力科学研究院 | Method and apparatus for constructing multi-source spatial database for transmission line corridor |
-
2022
- 2022-01-27 CN CN202210102415.4A patent/CN114611253B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103020871A (en) * | 2012-12-05 | 2013-04-03 | 陕西电力科学研究院 | Electric power transmission line and disaster geographic information system |
| CN106779407A (en) * | 2016-12-15 | 2017-05-31 | 国网浙江省电力公司杭州供电公司 | A kind of electric power data fusion method based on data pool |
| CN110188156A (en) * | 2019-06-04 | 2019-08-30 | 国家电网有限公司 | A kind of work transmission line three dimensional design achievement key message extracting method and system |
| WO2021168989A1 (en) * | 2020-02-28 | 2021-09-02 | 广东电网有限责任公司电力科学研究院 | Method and apparatus for constructing multi-source spatial database for transmission line corridor |
| CN111368450A (en) * | 2020-03-13 | 2020-07-03 | 国网湖南省电力有限公司 | BIM-based GIM digital model modeling method for power transmission and transformation project |
| CN112836352A (en) * | 2021-01-12 | 2021-05-25 | 中国电建集团贵州电力设计研究院有限公司 | Power transmission line model generation method integrating three-dimensional design and laser point cloud |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117371949A (en) * | 2023-10-24 | 2024-01-09 | 国网山东省电力公司建设公司 | Three-dimensional visual model-based power transmission line construction safety monitoring method and system |
| CN117371949B (en) * | 2023-10-24 | 2024-05-31 | 国网山东省电力公司建设公司 | Three-dimensional visual model-based power transmission line construction safety monitoring method and system |
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