CN114611253B - Multi-source data fusion method for power transmission line cloud design - Google Patents
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Abstract
The invention discloses a multisource data fusion method for power transmission line cloud design, which comprises the following steps of: the first step: collecting data; data collection is carried out, the collected data types are more, and the data types comprise: satellite images, live-action three-dimensional models, laser point clouds, basic geographic data, GIM and other channel data; and a second step of: data cleaning; and a third step of: converting data; fourth step: and (5) data fusion. The power transmission line planning and design work can effectively optimize the trend of the line by comprehensively considering surrounding ground objects and environment before the line is constructed, reduce disputes and public opinion, reduce engineering cost, and enable later-stage staff to obtain effective data information through the work; the multi-source data fusion technology is used as 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 and enrich the application range of the results.
Description
Technical Field
The invention relates to the technical fields of geographic information technology and photogrammetry, in particular to a multisource data fusion method for power transmission line cloud design.
Background
Along with the increasing promotion of the technology level, the data acquisition means for the line channel corridor are continuously rich, and various technologies such as satellite remote sensing, oblique photogrammetry, laser radar, GIM and the like serve for the optimization design work of the power transmission line. The data acquired by different technical means have different characteristics, the satellite images can reflect the overall condition of the corridor, the inclined model can present the real scene of the line, the laser point cloud can describe the spatial relationship of the ground features in the corridor, the basic geographic data can help to know the humane landforms around the corridor, and the GIM model can control the deviation of the construction process and the design. The problem of optimal design of the power transmission line can be well solved by fusing result data obtained by various technical means.
The traditional line optimization line selection work based on a single data source is limited by technology and processing capacity, has the problems of low resolution of results, undefined spatial relationship and long period of acquiring data, and influences the efficiency and quality of line optimization design to a certain extent.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a multisource data fusion method for the cloud design of a power transmission line, which solves the defect problem presented by the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions: a multi-source data fusion method for a power transmission line cloud design comprises the following steps:
the first step: data collection
Data collection is carried out, the collected data types are more, and the data types comprise: satellite images, live-action three-dimensional models, laser point clouds, basic geographic data, GIM and other channel data;
and a second step of: data cleansing
Checking and checking the collected data, deleting repeated data information, correcting error data, and ensuring the consistency of the formats of the same data;
and a third step of: data conversion
Format conversion is carried out on different types of data, so that loading can be carried out on the same data platform;
fourth step: data fusion
Fusing data together for different types of data combinations to form a group of data sources;
the data cleaning is carried out, aiming at the collected data, the data are arranged and integrated, the data are compared, the data cleaning is controlled and managed through a corresponding program, the corresponding data are classified and arranged through program equipment, and firstly, the data are integrated based on the classified data, and repeated data are removed; correcting the data to correct the error data in the classified data, thereby recovering the data information; then overlapping and interacting the data of different categories, and then continuously removing the repeated data to finish data cleaning;
the data conversion is realized aiming at the data of different categories, and the data of each category is converted into the same format, so that the data formats are the same, and the data fusion of the next step is convenient to enter;
the data fusion is carried out by utilizing a computer to analyze and comprehensively process result data acquired by a plurality of sensors, such as satellite images, an inclined model, internet of things data, data acquired by an online sensing sensor and a model established by a forward three-dimensional design, and more effective information is derived by optimizing and combining the data;
(1) Live three-dimensional model +GIM
Three-dimensional modeling of a power transmission line corridor, a power line and a pole tower can be effectively performed through fusion of the GIM and the live-action three-dimensional model, and the state of a wire in the running process of the line is simulated so as to detect the influence on peripheral ground objects in the running process;
(2) Satellite image + base geographic information
The processed satellite images are fused with the collected information of surrounding administrative regions, natural protection regions, factories, mines and the like, so as to assist in knowing the surrounding situation of the power channel corridor;
(3) GIM+Internet of things+online sensing sensor
And mounting data returned by the on-line sensor on site on the key nodes on the GIM, updating in real time by utilizing 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 on-site situation in real time, and carrying out safety pre-warning.
Preferably, the format of the data conversion may be selected according to the data category, and the format category may be: one of satellite images, a live three-dimensional model, laser point clouds, basic geographic data, GIM and other channel data can be used.
Preferably, the data fusion is performed on the same target data, and the fused data has no repeated parts.
Preferably, the data cleaning includes audit checksum de-duplication error correction, which may 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 a data storage for storing the fused data, so that the data can be conveniently extracted in a later period.
The beneficial effects are as follows:
the planning and designing work of the power transmission line can effectively optimize the trend of the line by comprehensively considering surrounding ground objects and the environment before the line is constructed, the engineering cost is reduced, and the effective data information can be obtained by later-stage staff through the work; the multi-source data fusion technology is used as 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.
Detailed Description
All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a technical scheme that: a multi-source data fusion method for a power transmission line cloud design comprises the following steps:
the first step: data collection
Data collection is carried out, the collected data types are more, and the data types comprise: satellite images, live-action three-dimensional models, laser point clouds, basic geographic data, GIM and other channel data;
and a second step of: data cleansing
Checking and checking the collected data, deleting repeated data information, correcting error data, and ensuring the consistency of the formats of the same data; the data cleaning is carried out, aiming at the collected data, the data are arranged and integrated, the data are compared, the data cleaning is controlled and managed through a corresponding program, the corresponding data are classified and arranged through program equipment, and firstly, the data are integrated based on the classified data, and repeated data are removed; correcting the data to correct the error data in the classified data, thereby recovering the data information; then overlapping and interacting the data of different categories, and then continuously removing the repeated data to finish data cleaning;
and a third step of: data conversion
Format conversion is carried out on different types of data, so that loading can be carried out on the same data platform; the data conversion is realized aiming at the data of different categories, and the data of each category is converted into the same format, so that the data formats are the same, and the data fusion of the next step is convenient to enter;
fourth step: data fusion
Fusing data together for different types of data combinations to form a group of data sources; the data fusion is carried out on result data acquired by a plurality of sensors, such as satellite images, an inclined model, internet of things data, data acquired by an online sensing sensor and a model established by a forward three-dimensional design by utilizing a computer, and more effective information is derived through data optimization combination according to the application requirements of engineering;
(1) Live three-dimensional model +GIM
Three-dimensional modeling of a power transmission line corridor, a power line and a pole tower can be effectively performed through fusion of the GIM and the live-action three-dimensional model, and the state of a wire in the running process of the line is simulated so as to detect the influence on peripheral ground objects in the running process;
(2) Satellite image + base geographic information
The processed satellite images are fused with the collected information of surrounding administrative regions, natural protection regions, factories, mines and the like, so as to assist in knowing the surrounding situation of the power channel corridor;
(3) GIM+Internet of things+online sensing sensor
And mounting data returned by the on-line sensor on site on the key nodes on the GIM, updating in real time by utilizing 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 on-site situation in real time, and carrying out safety pre-warning.
The invention has the technical effects that:
the power transmission line planning and design work can effectively optimize the trend of the line by comprehensively considering surrounding ground objects and environment before the line is constructed, so that the engineering cost is reduced, and the work can be used by later-stage staff to obtain effective data information. As one of novel technologies, the multi-source data fusion technology 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 utilizing a related means, uniformly evaluating the information and finally obtaining uniform information. The aim of the technology is to integrate various different data information, absorb the characteristics of different data sources and extract unified information better and richer than single data.
It is noted that 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. Moreover, 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 understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (1)
1. A multi-source data fusion method for a power transmission line cloud design is characterized in that: the method comprises the following steps:
the first step: data collection
Data collection is carried out, and the collected data types comprise: satellite images, live-action three-dimensional models, laser point clouds, basic geographic data and GIM channel data;
and a second step of: data cleansing
Checking and checking the collected data, deleting repeated data information, correcting error data, and ensuring the consistency of the formats of the same data;
and a third step of: data conversion
Format conversion is carried out on different types of data, so that loading can be carried out on the same data platform;
fourth step: data fusion
Fusing data together for different types of data combinations to form a group of data sources;
the data cleaning is carried out, aiming at the collected data, the data are arranged and integrated, the data are compared, the data cleaning is controlled and managed through a corresponding program, the corresponding data are classified and arranged through program equipment, and firstly, the data are integrated based on the classified data, and repeated data are removed; correcting the data to correct the error data in the classified data, thereby recovering the data information; then overlapping and interacting the data of different types, and then continuously removing the repeated data to finish data cleaning; the data cleansing includes audit checksum de-duplication error correction, the inspection check and the de-duplication error correction are performed simultaneously;
the data conversion is realized aiming at different types of data, and the data of each type is converted into the same format, so that the data formats are the same, and the next step of data fusion is performed; the format of the data conversion is selected according to the data type, and the format type is as follows: satellite images, a live three-dimensional model, laser point clouds, basic geographic data and GIM channel data; the data conversion further comprises data storage for storing data, so that the data can be conveniently extracted in the later period;
the data fusion method comprises the steps of carrying out analysis and comprehensive processing on result data acquired by a plurality of sensors by utilizing a computer, including satellite images, an inclined model, internet of things data, data acquired by an online sensing sensor and a model established by a forward three-dimensional design, and deriving effective information by optimizing and combining the data; the data fusion is carried out aiming at the same target data, and the fused data has no repeated part; the data fusion also comprises data storage for storing the fused data, so that the later extraction of the data is facilitated; the data fusion technology utilizes relevant means to integrate all information obtained by investigation and analysis together, uniformly evaluates the information, finally obtains uniform information, integrates various different data information, absorbs the characteristics of different data sources, and then extracts uniform and rich information from the information;
(1) Live three-dimensional model +GIM
The three-dimensional modeling of the corridor, the power line and the tower of the power transmission line is effectively carried out through the fusion of the GIM and the live-action three-dimensional model, and the state of a wire in the running process of the line is simulated so as to detect the influence on the surrounding ground objects in the running process;
(2) Satellite image + base geographic information
The processed satellite images are fused with collected surrounding administrative regions, natural protection regions and plant and mine information, so that the surrounding situation of the power channel corridor is known in an auxiliary mode;
(3) GIM+Internet of things+online sensing sensor
The key nodes on the GIM are mounted with data returned from the on-site sensing sensor, and are updated in real time by utilizing a 5G network, and the sensing equipment of different nodes and the 5G network are combined to construct the Internet of things, so that the Internet of things is fused with the GIM, the on-site situation is detected in real time, and safety precaution is carried out;
before the power transmission line planning and design works, the trend of the line is optimized by comprehensively considering surrounding ground objects and environment, and effective data information is obtained by later-stage staff through the work.
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| 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 |
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Patent Citations (6)
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| 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 |
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