CN111353726A - Power transmission and distribution line passageway defect hidden danger analysis and processing system - Google Patents
Power transmission and distribution line passageway defect hidden danger analysis and processing system Download PDFInfo
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- CN111353726A CN111353726A CN202010264934.1A CN202010264934A CN111353726A CN 111353726 A CN111353726 A CN 111353726A CN 202010264934 A CN202010264934 A CN 202010264934A CN 111353726 A CN111353726 A CN 111353726A
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Abstract
The invention discloses a power transmission and distribution line channel defect hidden danger analysis and processing system, which collects point cloud data of a power transmission and distribution line channel through an unmanned aerial vehicle, generates three-dimensional models of corridor landform and geomorphology, line facility equipment and corridor ground objects according to the point cloud data, and judges a hidden danger area according to the position of the three-dimensional model with the distance not meeting the safety distance in the 'overhead power transmission line operation regulation'. The method has the advantages of remarkably improving the processing accuracy and efficiency of the data of the hidden danger of the channel defect.
Description
Technical Field
The invention relates to a system for analyzing and processing hidden defects of a power transmission and distribution line channel.
Background
The traditional inspection mode is that a distance meter is used for manual measurement, the measurement accuracy and efficiency are low, and the rapid and accurate measurement of the safe distance of a channel can be realized based on a channel three-dimensional model and laser point cloud.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a system for analyzing and processing hidden troubles of the defects of a power transmission and distribution line channel.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a hidden danger analysis and processing system for defects of a power transmission and distribution line channel collects point cloud data of the power transmission and distribution line channel through an unmanned aerial vehicle, generates three-dimensional models of corridor landform and landform, line facility equipment and corridor landform according to the point cloud data, and judges a hidden danger area according to 'overhead power transmission line operation regulations' for a place where the three-dimensional model which does not meet a safety distance is located.
In another preferred embodiment, the categories of the corridor feature include: electric towers, tower poles, wire hanging point positions, wire sags, trees and buildings.
In another preferred embodiment, the hidden trouble areas are counted and classified according to the categories of the corridor ground objects, and a channel defect hidden trouble report is generated, wherein the defect hidden trouble report comprises the categories and three-dimensional coordinates of the hidden trouble areas.
In another preferred embodiment, the category of the three-dimensional model where the hidden danger area is located is intercepted, and a plan view and a longitudinal section view of the hidden danger area of the corresponding category are generated to perform hidden danger analysis.
In another preferred embodiment, a tower hanging point horizontal distance value, a hanging point vertical distance value, a horizontal distance value between the lowest point of the wire and the hanging point of the small-size tower and a sag distance value of the lowest point of the wire are calculated in a projection coordinate system where the three-dimensional model is located.
In another preferred embodiment, after denoising and filtering the point cloud data by adopting Gaussian filtering, the point cloud data are classified according to the category of the corridor ground object.
In another preferred embodiment, the distance between the wire point cloud data and the point cloud data of other types is calculated through the three-dimensional coordinates of the point cloud data, when the distance meets a preset cross-over distance interval, the cross-over phenomenon is determined to exist, and the three-dimensional coordinates of the cross-over points are derived for hidden danger analysis.
In another preferred embodiment, the distance between any two points in the three-dimensional model is calculated by the three-dimensional coordinates of the point cloud data.
The invention has the beneficial effects that:
the method has the advantages that the point cloud data are collected through the unmanned aerial vehicle, the hidden danger area is judged according to 'overhead transmission line operating regulations', the processing accuracy and efficiency of the channel defect hidden danger data are obviously improved, and the defect hidden danger report is generated to quickly feed back the position coordinates and defect conditions of the defect area.
The invention is further explained in detail with the accompanying drawings and the embodiments; but one of the present invention is not limited to the embodiment.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of the present invention.
Detailed Description
The embodiment of the invention is shown in figure 1, the power transmission and distribution line channel defect hidden danger analysis processing system collects point cloud data of a power transmission and distribution line channel through an unmanned aerial vehicle, uses Gaussian filtering to denoise and filter the point cloud data, the Gaussian filtering is suitable for normally distributed data, considers the characteristics of outliers, defines a point cloud at a certain position to be smaller than a certain density threshold value, namely the point cloud is invalid, calculates the average distance between each point and the nearest K points, gives preset mean value and variance, can eliminate points outside 3 ∑, classifies the point cloud data through the existing power line intelligent classification model, preliminarily selects two types of neighborhoods, namely a single-scale neighborhood and a multi-scale neighborhood, respectively selects 3 types of a sphere neighborhood, a column neighborhood and a K value on each scale, the limiting parameters of each type are a radius and a K value, the sphere neighborhood is a neighborhood formed by all three-dimensional points in a sphere surrounding sphere of a sphere X-point, the limiting parameters are a radius, the column is a cylindrical neighborhood in a column surrounding the given point X-axis, the column is used as a cylindrical power line structural classification model, the three-dimensional sphere is selected, the three-dimensional power line structural classification model is obtained by using the three-dimensional power line classification model, the three-dimensional power line classification of the three-dimensional power line structural classification model, the three-dimensional neighborhood of the cylindrical power line structural classification model, the cylindrical power line structural classification model is obtained by the linear classification model, the three-dimensional power line structural classification model, the cylindrical power line structural classification model is obtained by the three-dimensional classification model, the three-dimensional.
The point cloud data, original photo data and pos data are led into smart3D software together to be subjected to space-time-space-three operation, then three-dimensional model production is carried out, model restoration in the 3D MAX software is carried out in the later stage to generate three-dimensional models of corridor landform and landform, line facility equipment and corridor landform, wherein the types of the corridor landform comprise: the method comprises the steps that electric towers, tower poles, wire hanging point positions, electric wire sags, trees and buildings are judged as hidden danger areas according to the 'overhead transmission line operation regulations' for the places where three-dimensional models which do not meet safety distances are located, the hidden danger areas are counted and classified according to the types of corridor ground objects, and a channel defect hidden danger report is generated and comprises the types and three-dimensional coordinates of the hidden danger areas.
The method comprises the steps of classifying point cloud data, classifying point clouds of roads, houses and weak point lines, calculating distances between wire point cloud data and other types of point cloud data according to three-dimensional coordinates of the point cloud data, determining that a cross spanning phenomenon exists when the distances meet a preset cross spanning distance interval, leading out the three-dimensional coordinates of cross spanning points for hidden danger analysis, calculating the distance between any two points in a three-dimensional model according to the three-dimensional coordinates of the point cloud data, measuring various spatial distances such as a hanging point horizontal distance value, a hanging point vertical distance value, a horizontal distance value between a wire lowest point and a small-number tower hanging point and a sag distance value between the wire lowest point and intercepting the three-dimensional model generated by corresponding point cloud data, and generating a corresponding plane map and a longitudinal section map for analysis.
The above embodiments are only used to further illustrate the system for analyzing and processing the hidden defect danger of the power transmission and distribution line channel of the present invention, but the present invention is not limited to the embodiments, and any simple modification, equivalent change and modification made to the above embodiments according to the technical spirit of the present invention fall within the protection scope of the technical solution of the present invention.
Claims (8)
1. The utility model provides a power transmission and distribution line passageway defect hidden danger analytic processing system which characterized in that: the method comprises the steps of collecting point cloud data of a power transmission and distribution line channel through an unmanned aerial vehicle, generating three-dimensional models of corridor landform and landform, line facility equipment and corridor landform according to the point cloud data, and judging a hidden danger area to a place where the three-dimensional model which is far from the ground and does not meet a safety distance according to 'overhead power transmission line operation regulations'.
2. The power transmission and distribution line channel defect hidden danger analysis and processing system of claim 1, wherein: the categories of the corridor feature include: electric towers, tower poles, wire hanging point positions, wire sags, trees and buildings.
3. The power transmission and distribution line channel defect hidden danger analysis and processing system of claim 2, wherein: and counting the hidden danger areas and classifying according to the types of the corridor ground objects to generate a channel defect hidden danger report, wherein the defect hidden danger report comprises the types and three-dimensional coordinates of the hidden danger areas.
4. The power transmission and distribution line channel defect hidden danger analysis and processing system of claim 2, wherein: and intercepting the category of the three-dimensional model where the hidden danger area is located to generate a plan view and a longitudinal section view of the hidden danger area of the corresponding category so as to carry out hidden danger analysis.
5. The power transmission and distribution line channel defect hidden danger analysis and processing system of claim 2, wherein: and calculating a horizontal distance value of a tower hanging point, a vertical distance value of the hanging point, a horizontal distance value of the lowest point of the wire and the hanging point of the small tower and a sag distance value of the lowest point of the wire in a projection coordinate system where the three-dimensional model is located.
6. The power transmission and distribution line channel defect hidden danger analysis and processing system of claim 2, wherein: and denoising and filtering the point cloud data by adopting Gaussian filtering, and then classifying the point cloud data according to the category of the corridor ground object.
7. The power transmission and distribution line channel defect hidden danger analysis and processing system of claim 6, wherein: and calculating the distance between the wire point cloud data and the point cloud data of other types according to the three-dimensional coordinates of the point cloud data, determining that a cross-over phenomenon exists when the distance accords with a preset cross-over distance interval, and exporting the three-dimensional coordinates of cross-over points for hidden danger analysis.
8. The power transmission and distribution line channel defect hidden danger analysis and processing system of claim 1, wherein: and calculating the distance between any two points in the three-dimensional model through the three-dimensional coordinates of the point cloud data.
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| CN202010264934.1A CN111353726A (en) | 2020-04-07 | 2020-04-07 | Power transmission and distribution line passageway defect hidden danger analysis and processing system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112630792A (en) * | 2020-11-30 | 2021-04-09 | 深圳供电局有限公司 | Power grid transmission line working condition simulation and dangerous point detection method and detection system |
| CN113345019A (en) * | 2021-06-09 | 2021-09-03 | 山东信通电子股份有限公司 | Power transmission line channel hidden danger target ranging method, equipment and medium |
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| JP2005274284A (en) * | 2004-03-24 | 2005-10-06 | Chugoku Electric Power Co Inc:The | Inspection course monitoring method and inspection course monitoring device |
| CN109085604A (en) * | 2018-08-22 | 2018-12-25 | 上海华测导航技术股份有限公司 | A kind of system and method for power-line patrolling |
| CN109100742A (en) * | 2018-08-22 | 2018-12-28 | 上海华测导航技术股份有限公司 | The method for carrying out power-line patrolling based on airborne laser radar |
| CN109443304A (en) * | 2018-10-25 | 2019-03-08 | 国网河南省电力公司濮阳供电公司 | Space length method for measurement based on unmanned plane power transmission line corridor and laser point cloud |
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2020
- 2020-04-07 CN CN202010264934.1A patent/CN111353726A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2005274284A (en) * | 2004-03-24 | 2005-10-06 | Chugoku Electric Power Co Inc:The | Inspection course monitoring method and inspection course monitoring device |
| CN109085604A (en) * | 2018-08-22 | 2018-12-25 | 上海华测导航技术股份有限公司 | A kind of system and method for power-line patrolling |
| CN109100742A (en) * | 2018-08-22 | 2018-12-28 | 上海华测导航技术股份有限公司 | The method for carrying out power-line patrolling based on airborne laser radar |
| CN109443304A (en) * | 2018-10-25 | 2019-03-08 | 国网河南省电力公司濮阳供电公司 | Space length method for measurement based on unmanned plane power transmission line corridor and laser point cloud |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112630792A (en) * | 2020-11-30 | 2021-04-09 | 深圳供电局有限公司 | Power grid transmission line working condition simulation and dangerous point detection method and detection system |
| CN113345019A (en) * | 2021-06-09 | 2021-09-03 | 山东信通电子股份有限公司 | Power transmission line channel hidden danger target ranging method, equipment and medium |
| CN113345019B (en) * | 2021-06-09 | 2023-07-18 | 山东信通电子股份有限公司 | Method, equipment and medium for measuring potential hazards of transmission line channel target |
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