CN115330967A - Three-dimensional model-based automatic acquisition method for tube point coordinate data - Google Patents
Three-dimensional model-based automatic acquisition method for tube point coordinate data Download PDFInfo
- Publication number
- CN115330967A CN115330967A CN202211000060.4A CN202211000060A CN115330967A CN 115330967 A CN115330967 A CN 115330967A CN 202211000060 A CN202211000060 A CN 202211000060A CN 115330967 A CN115330967 A CN 115330967A
- Authority
- CN
- China
- Prior art keywords
- dimensional
- data
- module
- pipe network
- survey
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000012545 processing Methods 0.000 claims abstract description 9
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 4
- 238000012800 visualization Methods 0.000 abstract description 4
- 210000001503 joint Anatomy 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- 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
- G06T17/05—Geographic models
-
- 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
- G06T17/10—Constructive solid geometry [CSG] using solid primitives, e.g. cylinders, cubes
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- Computer Graphics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Remote Sensing (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a three-dimensional model-based automatic acquisition method for pipe point coordinate data, which comprises an aerial survey image data processing module, a survey point Beidou grid position code, a ground building inclination three-dimensional modeling module, an underground pipe network three-dimensional modeling module and a three-dimensional grid visualization and coding module; the aerial survey image data processing module is in butt joint with the ground building inclination three-dimensional modeling module; the Beidou grid position code of the survey point is butted with the underground pipe network three-dimensional modeling module and the three-dimensional grid visualization and coding module; the invention can assist in establishing regional three-dimensional ground conditions and registering the ground information in the pipe network by establishing an automatic three-dimensional coordinate data acquisition model, thereby reducing the pipeline management cost and improving the working efficiency.
Description
Technical Field
The invention belongs to the field of geographic coordinate acquisition methods, and particularly relates to a three-dimensional model-based automatic acquisition method for pipe point coordinate data.
Background
In the current stage of regional geographic condition research, the output and utilization of three-dimensional space information are fully considered, and the three-dimensional coordinate developed on the basis of the original two-dimensional geographic coordinate can contain more ground feature information, so that a new research road is opened up in theoretical research, and meanwhile, greater convenience is provided for enterprise production work.
The development requirement of the autonomous satellite remote sensing technology is fully considered in our country, a Beidou satellite which is researched and developed by people and successfully put into use in the military and civil fields is created, a special Beidou satellite coordinate conversion system is created, and a good theoretical basis is laid for the actual application and popularization of three-dimensional coordinates.
National standard Beidou grid position code (GB/T394092020) formally implemented in 6/1/2020. The Beidou grid code has high universality and high expansibility, new requirements are provided for identification work of block areas such as buildings, gardens and the like by continuous deepening of geographic information technology practice, the traditional longitude and latitude expression method is not beneficial to identifying the block areas, the geographic elevation cannot be reflected, and the position of an object can be more accurately and efficiently expressed by the Beidou grid code.
With the rapid development of 'digital China', a large amount of geographic information is collected, stored and utilized. However, information such as civil, postal, landform and homeland resources needs to be collected and databases need to be established respectively, so that integration and sharing problems exist, the existing system has the problems that due to the fact that coordinate systems are not unified, interaction is difficult, information is blocked, three-dimensional space information retrieval rules are lacked, and data are difficult to share by all platforms, and Beidou grid codes can unify space coordinates to achieve mutual communication of all platform data. Effectively eradicates the resource waste caused by repeated construction and saves the production cost.
The Beidou grid code is used as a novel geographical coordinate expression mode, although the Beidou grid code is more accurate, efficient and convenient, the existing basic data is not abundant, most of the existing system platforms adopt other coordinate systems, and the coordinate system of the existing system is compatible into the Beidou grid position code by utilizing the advantage of high compatibility of the Beidou grid code. And moreover, a model with efficient three-dimensional coordinate information data preparation and processing is established by utilizing the coding technology of the Beidou grid code and combining the aerial survey data of the unmanned aerial vehicles and the sensor data in the area, so that great benefit is brought to the development of enterprises.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method for automatically acquiring tube point coordinate data based on a three-dimensional model.
The technical scheme of the invention is as follows: a three-dimensional model-based automatic acquisition method for pipe point coordinate data comprises an unmanned aerial vehicle aerial survey image, underground pipe network survey data, sensor data, three-dimensional volume measurement and calculation, measuring point position Beidou grid position coding, ground building inclination three-dimensional modeling and underground pipe network three-dimensional modeling. The data preparation module is used for being connected with the unmanned aerial vehicle aerial survey image data, the underground pipe network survey data receiving module and the sensor data receiving module to receive signals.
Specifically, the aerial survey image data processing module is in butt joint with the ground building inclination three-dimensional modeling module; and the Beidou grid position code of the survey point is in butt joint with the underground pipe network three-dimensional modeling module and the three-dimensional grid visualization and coding module.
Specifically, the data preparation module comprises: measuring and calculating aerial survey images, underground pipe network survey data, sensor data and three-dimensional volume of the unmanned aerial vehicle;
specifically, the data processing module includes: surveying point position Beidou grid position coding, ground building inclination three-dimensional modeling and underground pipe network three-dimensional modeling.
Specifically, an automatic acquisition pipe point information model is established on the basis of the Beidou grid coding technology and by combining survey data of the regional pipe network.
Compared with the prior art, the invention has the beneficial effects that: the coordinates of ground objects, the pipe network condition, the maintenance condition, the water quantity monitoring and the like in the production area can be monitored in real time by automatically acquiring the coordinate information of the pipe points; the information management modes of unified space positioning, space analysis and application, efficient database management, professional pipe network calculation and graphic and text integration provide real-time and accurate decision support for production scheduling and management, water supply service capacity and level.
Drawings
Fig. 1 is a schematic structural view of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a method for automatically acquiring pipe point coordinate data based on a three-dimensional model comprises unmanned aerial vehicle aerial survey images, underground pipe network survey data, sensor data, three-dimensional volume measurement, measuring point position Beidou grid position coding, ground building inclination three-dimensional modeling and underground pipe network three-dimensional modeling. The data preparation module is used for being connected with the unmanned aerial vehicle aerial survey image data, the underground pipe network survey data receiving module and the sensor data receiving module to receive signals.
Through early-stage data preparation, the aerial survey data of the unmanned aerial vehicle in the region, the survey data of the underground pipe network and the sensor data are effectively obtained, and through three-dimensional volume measurement and calculation, a test area inclination three-dimensional model is generated by using a ContextCapture full-automatic live-action modeling system.
And assigning Beidou position codes to survey point positions by utilizing a self-coded python Beidou coding rule program, and associating Excel with the Beidou position codes with the original data to obtain vector data with the Beidou position codes. A remote monitoring management system is established through three-dimensional visualization of a ground tilt model, an underground pipe network model and a Beidou grid, and the centralization, consistency, completeness and reliability of data are guaranteed. Realize "centralized management, decentralized control, data sharing".
The automatic three-dimensional coordinate acquisition program is compiled through python, and the data change of the pipe network can be monitored in real time by combining the coordinate information of the pipe points, so that the change condition of the three-dimensional coordinate of the pipe points can be mastered at any time, the management cost is reduced, and the utilization rate of the space coordinate is improved.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention.
Claims (2)
1. A tube point coordinate data automatic acquisition method based on a three-dimensional model is characterized by comprising the following steps: the method is characterized in that aerial survey data is used as a support, beidou grid three-dimensional coordinate data is used as a technical method, a technical data preparation and modeling method is combined, a model and a program are compiled by python, and the three-dimensional coordinate value of a target point is automatically acquired.
A data preparation module: measuring and calculating aerial survey images, underground pipe network survey data, sensor data and three-dimensional volume of the unmanned aerial vehicle; a data processing module: surveying point position Beidou grid position coding, ground building inclination three-dimensional modeling and underground pipe network three-dimensional modeling. The data preparation module is used for connecting the unmanned aerial vehicle aerial survey image data, the underground pipe network survey data receiving module and the sensor data receiving module to receive signals; the data processing module is used for coding the Beidou grid position of the survey point position, and performing three-dimensional modeling on the inclination of the ground building and three-dimensional modeling on the underground pipe network.
2. The method for automatically acquiring the coordinate data of the tube point based on the three-dimensional model according to claim 1, wherein the method comprises the following steps: the aerial survey data preparation module is connected with the aerial survey, pipe network survey and sensor data processing module, and the aerial survey image data processing module and the three-dimensional volume measurement and calculation module are connected with the ground building inclination three-dimensional modeling module and the underground pipe network three-dimensional modeling module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211000060.4A CN115330967A (en) | 2022-08-19 | 2022-08-19 | Three-dimensional model-based automatic acquisition method for tube point coordinate data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211000060.4A CN115330967A (en) | 2022-08-19 | 2022-08-19 | Three-dimensional model-based automatic acquisition method for tube point coordinate data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115330967A true CN115330967A (en) | 2022-11-11 |
Family
ID=83926267
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211000060.4A Pending CN115330967A (en) | 2022-08-19 | 2022-08-19 | Three-dimensional model-based automatic acquisition method for tube point coordinate data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115330967A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110222137A (en) * | 2019-06-11 | 2019-09-10 | 鲁东大学 | One kind is based on oblique photograph and augmented reality Intelligent campus system |
| CN110362895A (en) * | 2019-06-28 | 2019-10-22 | 中铁四局集团有限公司 | A kind of earth clearance application management system based on BIM+GIS technology |
| CN112488567A (en) * | 2020-12-11 | 2021-03-12 | 天津飞眼无人机科技有限公司 | Comprehensive management platform and management method for underground pipe network |
-
2022
- 2022-08-19 CN CN202211000060.4A patent/CN115330967A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110222137A (en) * | 2019-06-11 | 2019-09-10 | 鲁东大学 | One kind is based on oblique photograph and augmented reality Intelligent campus system |
| CN110362895A (en) * | 2019-06-28 | 2019-10-22 | 中铁四局集团有限公司 | A kind of earth clearance application management system based on BIM+GIS technology |
| CN112488567A (en) * | 2020-12-11 | 2021-03-12 | 天津飞眼无人机科技有限公司 | Comprehensive management platform and management method for underground pipe network |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102833680B (en) | Position-based marine fishery information serving method | |
| CN111199066B (en) | Construction site virtual construction restoration method based on BIM+GIS | |
| CN103679804A (en) | System and method for automatically building three-dimensional model of data of underground pipeline | |
| GU et al. | Monitoring dispatch information system of trucks and shovels in an open pit based on GIS/GPS/GPRS | |
| CN114518104A (en) | Territorial surveying and mapping method, system and storage medium based on dynamic remote sensing monitoring technology | |
| CN110489896B (en) | Temporary construction project site selection and design method based on multi-source data fusion technology | |
| CN112988946B (en) | Geographic entity database user customization method | |
| CN112257163A (en) | Air-space-ground integrated road engineering earthwork construction intelligent dispatching command system and method | |
| CN108491649A (en) | A kind of design method and processing equipment of wind power plant digital Platform | |
| CN110362895A (en) | A kind of earth clearance application management system based on BIM+GIS technology | |
| CN111089560A (en) | Subway structure health monitoring and early warning system based on three-dimensional live-action model | |
| CN114692236A (en) | Big data-oriented territorial space planning base map base number processing method | |
| CN101846512B (en) | Method for implementing land patrol | |
| CN111245945A (en) | Marine oil spilling supervisory systems based on buoy and unmanned aerial vehicle control | |
| CN109885608A (en) | A kind of canal business system of artificial intelligence big data | |
| CN117433513A (en) | Map construction method and system for topographic mapping | |
| CN115330967A (en) | Three-dimensional model-based automatic acquisition method for tube point coordinate data | |
| CN102081657A (en) | Network-based satellite cloud picture positioning method | |
| CN113408918B (en) | Multi-temporal remote sensing analysis-based rural garbage downscaling space-time distribution inversion method | |
| US20210140791A1 (en) | Use of geospatial coordinate systems for modifying map and route information | |
| Gu et al. | Surveying and mapping of large-scale 3D digital topographic map based on oblique photography technology | |
| CN202799168U (en) | High-precision rapid measurement system based on continuous operating reference system (CORS) | |
| CN114564551A (en) | BIM campus personnel positioning method based on Unity3D and GIS | |
| CN113010522B (en) | Water supply and drainage pipe network surveying method and device, mobile terminal and storage medium | |
| CN110728841B (en) | Traffic flow acquisition method, device and system based on vehicle-road cooperation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20221111 |
|
| WD01 | Invention patent application deemed withdrawn after publication |