Automatic early warning method for hole exploration point deployment based on multi-source three-dimensional data

Abstract

The invention discloses a hole exploration point deployment automatic early warning method based on multi-source three-dimensional data. The method comprises the following steps that S1, designed hole exploration point data, unfavorable geological design files needing to participate in analysis and underground pipeline data needing to participate in analysis are uploaded through an online management platform; s2, screening required collision types for the selected items, wherein the types of the collision types are determined according to collision objects; s3, collision analysis is automatically carried out according to the position relation of the imported different data sources in the space, whether collision exists or not is determined by judging the space position, and when collision occurs, the hole exploration points are automatically classified as risk points and early warning notification is carried out. The hole exploration risk automatic early warning system can realize remote, real-time and high-precision monitoring of underground space, has intelligent data analysis and risk assessment capabilities, improves the operation efficiency and safety of underground pipeline and geological exploration work and exploration and hole distribution field work, reduces unnecessary repeated labor, and improves the working efficiency and safety of the underground pipeline and geological exploration work. The reworking workload caused by engineering hole exploration design errors is effectively reduced, and economic losses caused by hole exploration punching risks are effectively avoided.

Description

Technical Field

[0001] The present invention belongs to the field of surveying and mapping technology, and particularly relates to an automated early warning method for borehole point deployment based on multi-source three-dimensional data. Background Art

[0002] Underground pipeline and geological exploration are core links in urban infrastructure construction and maintenance. Traditional exploration methods usually rely on equipment such as drilling and ground-penetrating radar for on-site data collection, and then form exploration reports through indoor data analysis. This method is not only time-consuming and laborious, but also easily affects the surrounding environment during construction in urban dense areas. At the same time, due to the complexity of urban construction and the uncertainty of underground pipeline distribution, traditional methods often have difficulty in comprehensively and accurately identifying potential risk points, resulting in greater potential safety hazards during project implementation. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide an automated early warning method for borehole point deployment based on multi-source three-dimensional data to solve the deficiencies in the prior art.

[0004] To achieve the above purpose, the present invention is implemented through the following technical solutions:

[0005] Provide an automated early warning method for borehole point deployment based on multi-source three-dimensional data, which includes the following steps:

[0006] S1. Upload the designed borehole point data, the bad geological design documents to be involved in the analysis, and the underground pipeline data to be involved in the analysis through an online management platform;

[0007] S2. Screen the required collision types for the selected project, and the collision type is determined according to the collision object;

[0008] S3. Automatically perform collision analysis based on the positional relationship of different imported data sources in space, confirm whether there is a collision by determining the spatial position, and automatically classify the borehole points as risk points and give an early warning notice when a collision occurs.

[0009] For the automated early warning method for borehole point deployment based on multi-source three-dimensional data as described above, the collision objects in S2 include pipeline types, geological types, and obstacles.

[0010] For the automated early warning method for borehole point deployment based on multi-source three-dimensional data as described above, the data processing for automatic identification of risk points in S3 includes the following steps:

[0011] S31. Perform co-ordinate data registration based on the imported borehole point data file, bad geological file, and pipe point and pipeline data to achieve data matching on the same map;

[0012] S32. Perform data scanning on the surrounding 3D data within the spatial sphere region of the effective radius of the design exploration borehole points imported according to the built-in parameters;

[0013] S33. Automatically calculate the positional relationships of the data in the same coordinate system. When there is a planar position overlap or a 3D coordinate intersection, it is determined as a collision. Classify this exploration borehole point as an abnormal point and issue an alarm notification, expressing the name of the risk point and the risk description.

[0014] As described in the exploration borehole point deployment automatic early warning method based on multi-source 3D data, among which, the imported exploration borehole point data and pipe point pipeline data in S31 support the input of point data templates and implement the function of coordinate system transformation, and the imported bad geological data realizes the automatic coordinate system transformation according to the imported coordinates and coordinate system parameter files.

[0015] The beneficial effects of the technical solution of the present invention are:

[0016] This exploration borehole risk automatic early warning system can automatically identify and early warn the risks of design exploration borehole points based on multi-source 3D data, providing an innovative technical means for underground pipelines and geological surveys. It can realize remote, real-time, and high-precision monitoring of the underground space, and has the ability of intelligent data analysis and risk assessment, thereby effectively improving the operation efficiency and safety of underground pipeline and geological exploration work and the field operation of exploration hole layout, reducing unnecessary repetitive labor, effectively solving the rework workload caused by engineering exploration hole design errors, and effectively avoiding economic losses caused by exploration hole drilling risks; especially during the construction and transformation of urban infrastructure, this system can efficiently and accurately judge the spatial relationships of underground structures and buildings based on the collected exploration or historical data without disturbing ground traffic and other surface activities, providing key data support for engineering safety assessment and risk management. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] To further illustrate the above objects, structural features, and effects of the present invention, the present invention will be described in detail below with reference to the drawings.

[0018] Figure 1 It is a schematic flowchart of the method for the preferred embodiment of the present invention;

[0019] Figure 2 It is a schematic diagram of the exploration borehole point data for the preferred embodiment of the present invention;

[0020] Figure 3 It is a schematic diagram of the bad geological data for the preferred embodiment of the present invention;

[0021] Figure 4 It is a schematic diagram of the pipeline pipe point data for the preferred embodiment of the present invention;

[0022] Figure 5Front-end display interface diagram with data upload marks for the preferred embodiment of the present invention;

[0023] Figure 6 Front-end display interface diagram of the risk warning exploration hole for the preferred embodiment of the present invention;

[0024] Figure 7 Display interface of the mobile device warning for the preferred embodiment of the present invention;

[0025] Figure 8 Schematic diagram of the front-end interface where on-site photos or videos need to be submitted through a mobile device during the construction of risk points and risks are excluded after manual review for the preferred embodiment of the present invention. Detailed implementation manners

[0026] The terms "invention" and "the present invention" as used in this specification are intended in a broad sense to refer to all subject matters of this specification and any of the following patent claims. Statements containing these terms should not be construed as limiting the subject matter described herein or the meaning or scope of any of the following patent claims. In addition, this specification does not attempt to describe or limit the subject matter covered by any specific component, paragraph, statement, or claim of this application. The subject matter should be understood with reference to the entire specification, all the drawings, and any of the following claims. The present invention may have other embodiments and may be practiced or implemented in other ways. Moreover, it should be understood that the wording and terms used herein are for illustrative purposes and should not be considered limiting.

[0027] Details of the present invention will now be discussed with reference to the drawings of the present invention, which are given by way of example only. In the drawings, like features or components may be labeled with the same reference numerals.

[0028] The use of the terms "comprising", "having", "including" and their variants herein means including the items listed hereinafter, their equivalents and additional items. Although directions such as above, below, upward, downward, backward, bottom, top, front, back, etc. may be referred to in the description of the drawings, for convenience, reference is made with respect to the drawings. These directions are not intended to be literally accepted or limiting of the present invention in any form. In addition, terms such as "first", "second", "third", etc. are used herein for illustrative purposes and are not intended to indicate or imply importance or significance.

[0029] Refer to Figure 1 As shown, the automated warning method for exploration hole deployment based on multi-source three-dimensional data of the present invention includes the following steps:

[0030] S1. Upload the designed exploration hole data, the bad geological design documents to be involved in the analysis, and the underground pipeline data to be involved in the analysis through an online management platform. The exploration hole data is mainly point coordinate data, which can be in excel format or manually entered, such as Figure 1As shown, the design file is in dwg format, and abnormal strata, above-ground and underground structures, etc. can be uploaded in different layers. For example, Figure 2 As shown, the abnormal bottom layer mainly targets underground hidden hollows. The main format of underground pipeline data is excel, which contains specific required field information, such as Figure 3 As shown. Use the pipe point and pipeline template data provided by the platform to fill in the data and upload it to the platform. The platform background executes vectorized drawing and publishes the data service online for display.

[0031] The relevant parameters of the exploration hole point data (uploaded data) include the point name (hole name), longitude, latitude, ellipsoidal height, east coordinate, north coordinate, start time, end time, hole depth, planned hole depth, number of soil samples, construction site name, exploration hole type, projected x coordinate, projected y coordinate, elevation, affiliated project, etc. Among them, the hole name, east coordinate, and north coordinate are three required options.

[0032] The relevant parameters of the bad geological design file include the basic layer name such as hidden hollows.

[0033] The relevant parameters of the underground pipeline data are divided into two types: pipe point parameters and pipeline parameters. Among them, the pipe point parameters include pipe point number, major pipe point category, minor pipe point category, appendage, ground elevation, X coordinate, y coordinate, affiliated project, etc. The pipeline parameters include pipeline number, major pipeline category, minor pipeline category, starting pipeline point number, ending pipeline point number, starting pipeline point elevation, ending pipeline point elevation, starting pipeline point burial depth, ending pipeline point burial depth, starting pipeline point x coordinate, ending pipeline point x coordinate, starting pipeline point y coordinate, ending pipeline point y coordinate, pipeline material, laying method, pipe diameter, affiliated project, etc.

[0034] S2. Screen the required collision types for the selected project. The collision type is determined according to the collision object, and the type (i.e., the collision object) is determined according to the keyword fields of the uploaded data, mainly including pipeline type, geological type, obstacles, etc. For example, Figure 4 As shown.

[0035] S3. Automatically perform collision analysis based on the positional relationship of different imported data sources in space. Determine whether there is a collision by judging the spatial position. When a collision occurs, automatically classify the exploration hole points as risk points and send early warning notifications through the platform and the mobile terminal. For example, Figure 5 、 Figure 6 As shown. The main collision types are exploration hole points and bad strata, exploration hole points and pipelines, pipelines and pipelines. For example: If abnormal strata data and exploration hole point data are imported and there is an overlap in the spatial position, it is determined that a collision occurs between the exploration hole points and the bad strata; if exploration hole point data and pipeline data are imported and there is an overlap or intersection in the spatial position, it is determined that a collision occurs between the exploration hole points and the pipelines. The risk points are divided into first-level and second-level. The first-level is within 3 meters, and the second-level is within 5 meters.

[0036] The data processing for automatic identification of risk points in S3 includes the following steps:

[0037] S31. Perform coordinate registration of data with the same coordinates based on the imported borehole point data file, poor geological data, and pipe point pipeline data to achieve data matching on the same map;

[0038] S32. Perform data scanning on the surrounding three-dimensional data in the spatial sphere area with an effective radius (about 3 meters radius) of all imported design borehole points according to the built-in parameters;

[0039] S33. Automatically calculate the positional relationship of each data in the same coordinate system. When there is an overlap in the plane position or an intersection of three-dimensional coordinates, it is determined as a collision. This borehole point is classified as an abnormal point and an alarm notification is issued, expressing the risk point name and risk description.

[0040] The imported borehole point data and pipe point pipeline data in S31 support the entry of point data templates and implement the function of coordinate transformation. The imported poor geological data realizes automatic coordinate transformation according to the imported coordinates and coordinate system parameter files. Upload the dwg format data to be analyzed to the specified storage location, and place the prj files under different coordinate systems in the same file location. The system automatically executes the background coordinate transformation program to adjust the coordinate system of the dwg data.

[0041] The data processing for collision analysis can also be described as:

[0042] Compare the borehole point data according to the map plane position, dwg data, and pipeline pipe point data; when the plane position where the borehole point is located is within the buffer zone with a preset threshold range; when dwg data or pipeline pipe point data appears within the buffer zone of the borehole point, determine this borehole point as a risk point; modify the data attribute of this borehole point to the risk type, and record the names of the pipeline pipe points or the types of dwg data that appear within the buffer zone of the borehole point and publish them in the front-end warning notification.

[0043] When the on-site exploration hole construction team constructs the risk point, they need to provide materials such as on-site environment photos and videos and submit them to the management personnel for review and approval before they can submit relevant online process materials, such as Figure 7 as shown.

[0044] The above is only a preferred embodiment of the present invention, and does not limit the implementation mode and protection scope of the present invention. For those skilled in the art, it should be able to realize that all equivalent replacements and obvious changes made by using the description and illustrations of the present invention should be included in the protection scope of the present invention.

Claims

1. An automated warning method for borehole point deployment based on multi-source three-dimensional data, characterized in that, Including the following steps: S1. Upload the data of the borehole points designed, the bad geological design documents to be involved in the analysis, and the underground pipeline data to be involved in the analysis through the online management platform; S2. Screen the required collision types for the selected project, and the collision type is determined according to the collision object; S3. Automatically perform collision analysis based on the positional relationship of different imported data sources in space, confirm whether there is a collision by judging the spatial position, and automatically classify the borehole points as risk points and issue a warning notice when a collision occurs.

2. The automated early warning method for borehole point deployment based on multi-source three-dimensional data according to claim 1, wherein The collision objects in S2 include pipeline types, geological types, and obstacles.

3. The automated warning method for borehole point deployment based on multi-source three-dimensional data according to claim 1, characterized in that, The data processing for automatic identification of risk points in S3 includes the following steps: S31. Perform co-ordinate data registration on the imported borehole point data file, bad geological file, and pipe point and pipeline data to achieve data matching on the same map; S32. Perform data scanning on the surrounding three-dimensional data in the spatial sphere area of the effective radius of all imported designed borehole points according to the built-in parameters; S33. Automatically calculate the positional relationship of each data in the same co-ordinate system. When there is an overlap in the plane position or an intersection in the three-dimensional coordinates, it is determined as a collision, and this borehole point is classified as an abnormal point and a warning notice is issued, expressing the name of the risk point and the risk description.

4. The automated early warning method for borehole point deployment based on multi-source three-dimensional data according to claim 3, wherein, The imported borehole point data and pipe point and pipeline data in S31 support the entry of point data templates and implement the function of coordinate system conversion. The imported bad geological data realizes automatic coordinate system conversion according to the imported coordinates and coordinate system parameter files.

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