CN-121996733-A - Method, equipment and storage medium for combining and processing pipe network damage point data

CN121996733ACN 121996733 ACN121996733 ACN 121996733ACN-121996733-A

Abstract

The invention discloses a pipe network damage point data merging processing method which comprises the following steps of S1, obtaining at least two groups of historical detection data containing position information to form a data set, S2, selecting one group of damage suspected point data in the data set as an optimal reference point according to point location discrete conditions in the data set, S3, determining a standard comparison range, carrying out feature comparison on damage point technical parameters in the standard comparison range of the optimal reference point, S4, selecting technical parameter items to be merged of the damage points according to feature comparison results, and obtaining final display and merged information. According to the invention, the spatial position calculation and judgment of the reference point and any detection point are utilized, and the preliminary screening and evaluation are carried out by matching with a spatial analysis model and a discrete data analysis technology, so that the recognition efficiency is improved, and the recognition accuracy is also improved.

Inventors

ZHONG LIN
CUI JINTAO
Zeng tianyang
YANG YADONG

Assignees

广州燃气集团有限公司
北京中盈安信技术服务股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (10)

1. The method for combining and processing the pipe network damage point data is characterized by comprising the following steps of: S1, acquiring at least two groups of historical detection data containing position information to form a data set; S2, selecting a group of damaged suspected point data in the data set as an optimal reference point according to the point discrete condition in the data set; s3, determining a standard comparison range, and performing feature comparison on the technical parameters of the damaged points in the standard comparison range of the optimal reference point; s4, selecting technical parameter items to be combined at the damaged points according to the feature comparison result, and obtaining final display and combined information.
2. The method for merging pipe network damage point data according to claim 1, wherein the position information in step S1 is converted into coordinates of a specified coordinate system in a data set.
3. The method for merging and processing the pipe network damage point data according to claim 1, wherein the specific selection operation flow of the reference point in the step S2 comprises the following steps: S21, obtaining geographic coordinate data of damaged points and damaged suspected points of discrete distribution of a target area from a data set; S22, constructing a circular detection area with a preset radius for the damaged points and the damaged suspected points, and determining detection areas with the number of the damaged datum points reaching a preset density threshold value in the area through density screening; S23, calculating the space centroid coordinates of all the breakage datum points in the detection area for the screened detection area, and generating an area feature center point; S24, executing a neighbor matching algorithm, and selecting a signal point with the minimum Euclidean distance with the regional characteristic center point from the candidate signal point subset as an optimal reference point.
4. The method for combining and processing the pipe network damage point data according to claim 1, wherein the determining method of the standard comparison range in the step S3 comprises the following steps: s31, screening and storing point location data in a specified time period according to the time characteristics; S32, constructing a circular area with a variable radius by taking an optimal reference point as a central point; S33, determining the minimum radius value of the circular area according to the preset area density, wherein the circular area with the minimum radius value is the standard comparison range.
5. The method for combining and processing the pipe network damage point data according to claim 1, wherein the comparison logic in the step S3 is as follows: Firstly, comparing the grade of the optimal reference point with the grade of other point data; If the point location data grades are the same, comparing the optimal reference point with the maximum gradient value of other point location data; and if the maximum gradient values of the point location data are the same, comparing the embedded depth heights of the optimal reference point and other point location data.
6. The method for combining and processing pipe network damage point data according to claim 5, wherein the grading logic is as follows: if the maximum gradient value is more than or equal to 70, judging the point grade as a first grade; if the primary 50 is less than or equal to the maximum gradient value <70, judging the point grade as a secondary grade; If 40 is less than or equal to the maximum gradient value <50, the point grade is judged to be three-grade.
7. The method for combining pipe network damage point data according to claim 5, wherein the point data with the difference of maximum gradient values within 10 and the difference of burial depth key comparison within 0.1m are preferentially compared in the comparison process.
8. The method for combining pipe network damage point data according to claim 5, wherein the combining logic of the technical parameter items comprises: According to the characteristic comparison result, if the point position grade data are different, the maximum grade data are reserved as the combined maximum grade data; If the point position maximum gradient value data are different, the maximum gradient value data are reserved as the combined maximum gradient value; And if the point location buried depth data are different, reserving the maximum buried depth data as the combined buried depth data.
9. A computer readable storage medium, characterized in that a computer program is stored, which, when being executed by a processor, causes the processor to perform the steps of the method according to any of claims 1 to 8.
10. A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method of any of claims 1to 8.

Description

Method, equipment and storage medium for combining and processing pipe network damage point data Technical Field The invention relates to the technical field of data processing, in particular to a method, equipment and a storage medium for combining and processing pipe network breakage point data. Background In the process of monitoring the broken point of the fuel network management line, a Geographic Information System (GIS), a Global Positioning System (GPS) and a remote sensing technology are conventionally adopted for monitoring the broken point of the modern pipeline, wherein the GIS provides powerful support for accurate positioning and deep analysis of the geographic position by integrating information resources such as space data, maps and statistical data, the GPS realizes high-precision positioning of the ground position by utilizing satellite signals, and the remote sensing technology acquires detailed information of the earth surface by utilizing sensors on satellites or planes, so that the content of the geographic data is further enriched. Based on the above technology, a series of specific positioning algorithms (such as triangulation, doppler effect, beacon positioning, etc.), sensor technologies (such as acceleration sensor, gyroscope, etc.), and data processing technologies (including data cleaning, data fusion, data mining, etc.) are generally adopted to realize accurate monitoring of the broken point of the pipeline, however, in practical applications, although these technologies can provide detailed location information, they often cannot form a comprehensive and continuous data stream for subsequent analysis and decision support when processing the location information of the past times. In the pipe network damage point data merging process, the prior art cannot effectively merge the past position information, so that a complete damage point change map under the time-space dimension is difficult to construct, and the limitation limits the prediction of the damage trend and the maintenance planning operation, so that the safety and the efficiency of the whole pipe network are further influenced. Therefore, the application provides a method for combining and processing pipe network broken point data to solve the technical problems. Disclosure of Invention The invention mainly aims to provide a method for combining and processing pipe network broken point data, which aims to solve the technical problems in the background technology. The invention adopts the following technical scheme to solve the technical problems: A method for combining and processing pipe network damage point data comprises the following steps: S1, acquiring at least two groups of historical detection data containing position information to form a data set; S2, selecting a group of damaged suspected point data in the data set as an optimal reference point according to the point discrete condition in the data set; s3, determining a standard comparison range, and performing feature comparison on the technical parameters of the damaged points in the standard comparison range of the optimal reference point; s4, selecting technical parameter items to be combined at the damaged points according to the feature comparison result, and obtaining final display and combined information. Preferably, in the step S1, the position information is converted into coordinates of a specified coordinate system in the data set. Preferably, the specific operation procedure for selecting the reference point in the step S2 includes: S21, obtaining geographic coordinate data of damaged points and damaged suspected points of discrete distribution of a target area from a data set; S22, constructing a circular detection area with a preset radius for the damaged points and the damaged suspected points, and determining detection areas with the number of the damaged datum points reaching a preset density threshold value in the area through density screening; S23, calculating the space centroid coordinates of all the breakage datum points in the detection area for the screened detection area, and generating an area feature center point; S24, executing a neighbor matching algorithm, and selecting a signal point with the minimum Euclidean distance with the regional characteristic center point from the candidate signal point subset as an optimal reference point. Preferably, the method for determining the standard alignment range in the step S3 includes: s31, screening and storing point location data in a specified time period according to the time characteristics; S32, constructing a circular area with a variable radius by taking an optimal reference point as a central point; S33, determining the minimum radius value of the circular area according to the preset area density, wherein the circular area with the minimum radius value is the standard comparison range. Preferably, the comparison logic in the step S3 is: Firstly, comparing the grade of the opti