CN113445987A - Railway drilling auxiliary operation method based on augmented reality scene under mobile terminal - Google Patents

Railway drilling auxiliary operation method based on augmented reality scene under mobile terminal Download PDF

Info

Publication number
CN113445987A
CN113445987A CN202110898368.4A CN202110898368A CN113445987A CN 113445987 A CN113445987 A CN 113445987A CN 202110898368 A CN202110898368 A CN 202110898368A CN 113445987 A CN113445987 A CN 113445987A
Authority
CN
China
Prior art keywords
drilling
augmented reality
mobile terminal
reality scene
railway
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
Application number
CN202110898368.4A
Other languages
Chinese (zh)
Inventor
黄大中
李红刚
温晓鹏
李国和
齐春雨
陈承申
李红旭
周令新
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Railway Design Corp
Original Assignee
China Railway Design Corp
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China Railway Design Corp filed Critical China Railway Design Corp
Priority to CN202110898368.4A priority Critical patent/CN113445987A/en
Publication of CN113445987A publication Critical patent/CN113445987A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/20Computer models or simulations, e.g. for reservoirs under production, drill bits

Abstract

The invention discloses a railway drilling auxiliary operation method based on an augmented reality scene under a mobile terminal, which realizes the virtual display of drilling points and drilling safety risk elements in a real scene and the digital recording and structural associated storage of drilling data based on an augmented reality technology, and provides intelligent auxiliary support for railway drilling operation. The method comprises the following steps: s1, drilling task mapping and service publishing; s2, constructing an augmented reality scene under the mobile terminal; s3, inquiring and navigating a drilling task in an augmented reality scene; s4, warning the drilling safety risk in the augmented reality scene; and S5, recording and storing the drilling data through the mobile terminal. The method is convenient for field personnel to inquire and navigate to a drilling point task, intelligently obtains drilling safety risk early warning, improves the efficiency and quality of the whole drilling process, can be widely applied to geological drilling operation of railway engineering, and has remarkable social and economic benefits.

Description

Railway drilling auxiliary operation method based on augmented reality scene under mobile terminal
Technical Field
The invention relates to a railway drilling auxiliary operation method, and belongs to the field of railway engineering geological exploration.
Background
The drilling is the most widely applied investigation means in the railway geological investigation, and the arrangement and query of drilling points, the identification and early warning of drilling safety risks and the acquisition and storage of drilling field data are key links of the railway engineering geological investigation and are also important foundations of the railway engineering investigation design and construction.
At present, the railway drilling mainly marks the position of a drilling task through a bamboo board pile, marking points are easy to damage, and field personnel cannot conveniently search the marking points; the railway field drilling environment often has a large number of safety risk factors, such as power lines, rivers, ponds, communication lines, gas pipelines and the like, and at present, the safety risk factors are mainly identified by field manual experience, lack of remote auxiliary early warning and easy to cause safety production accidents caused by troubleshooting and omission; the field drilling data is mainly collected and recorded in a paper log mode, then paper data materials are sent to interior workers from a field of field operation, log contents are sorted and recorded into survey software, and a large amount of repetitive work exists in the whole process. Because the railway survey project is linear engineering, the coverage is wide, and the exploration volume is big, consequently need to upgrade current drilling operation mode urgently, take intelligent auxiliary operation measure, reduce the manpower and the time cost that drilling operation consumed.
Disclosure of Invention
The invention provides a drilling auxiliary operation method based on an augmented reality scene under a mobile terminal, aiming at the problems that at present, railway drilling operation depends on bamboo board piles to mark drilling points, auxiliary early warning is lacked in site safety risk identification, data acquisition records depend on paper logs, a large amount of repeated work exists in the whole drilling data acquisition process, and the like.
Therefore, the technical scheme of the invention is as follows:
a railway drilling auxiliary operation method based on an augmented reality scene under a mobile terminal comprises the following steps:
s1, drilling task mapping and service publishing: collecting data of a railway drilling point and peripheral safety risks, and manufacturing a drilling point and safety risk vector data set; manufacturing drilling points and safety risk vector layers based on a three-dimensional plane scene, and setting styles and attribute information of various drilling points and safety risk vectors; generating a drilling point and safety risk vector slice cache file in a three-dimensional plane scene, and issuing a drilling task map service through a server;
s2, constructing an augmented reality scene under the mobile terminal: the drilling task map service is acquired by the field through a mobile terminal; the mobile terminal renders an augmented reality scene based on the service data, wherein the augmented reality scene comprises a drilling point and a safety risk element virtual model;
s3, drilling task query and navigation in the augmented reality scene: in an augmented reality scene, inquiring a drilling task in a number retrieval, space retrieval and list browsing mode; selecting a drilling task target, and navigating to a drilling point through an augmented reality scene;
s4, drilling safety risk warning under the augmented reality scene: under an augmented reality scene, updating and displaying a safety risk virtual model in real time according to the positioning of the mobile terminal; according to the set drilling task warning range, automatically warning the safety risk in the range;
s5, recording and storing the drilling data through the mobile terminal: recording drilling data and mobile terminal positioning information in a drilling process based on a mobile terminal, and shooting a field image; and storing the drilling data in a mobile terminal in real time, and transmitting the drilling data to a server background when a mobile network exists, so as to establish an association relation between the drilling data and a drilling point.
The mobile terminal comprises a smart phone and a tablet which adopt an android system or an apple system, wherein the android system mobile terminal supports an ARCore function, and the apple system mobile terminal supports an ARKit function.
In the above step S1, the safety risks include sky obstacles, underground facilities, and plane surrounding danger sources, the sky obstacles include overhead power lines, overhead communication lines, and trees; the underground facility equipment comprises a communication line, an underground power line, a water supply pipeline, a drainage pipeline, a gas pipeline, a heat distribution pipeline and an industrial pipeline; the plane surrounding danger sources comprise highways, existing railways, rivers, ponds and dangerous falling rocks.
And S1, adopting a projection coordinate system for the three-dimensional plane scene, adopting a national standard elevation standard for the elevation, uniformly converting the coordinates of the drilling point and the safety risk vector into the same projection coordinate system, and setting an elevation value.
The step of acquiring the augmented reality scene in step S2 includes:
1) opening a camera of the mobile terminal, and acquiring current spatial position information of the camera, wherein the current spatial position information comprises coordinates and elevations of the camera and an inclination angle of the camera along an axis of a scene coordinate system X, Y, Z;
2) according to the camera space position information, remotely acquiring the map service data of the drilling task through a mobile network;
3) constructing a virtual drilling point model and a safety risk vector model according to the drilling task data;
4) and drawing a virtual model in a camera viewport based on the ARCore or the ARKit to form an augmented reality scene.
In step S3, the method of navigating to a drilling site includes the steps of:
1) acquiring the geographical position and current positioning information of a drilling point;
2) calculating a navigation route according to the position of the drilling point and the current positioning information;
3) displaying a global navigation route in a map scene in a vector diagram stacking mode;
4) and dynamically constructing a navigation mark virtual model by using navigation data within the current positioning range of 20m, and rendering the local navigation mark in the augmented reality scene.
In step S4, the alert range includes 4 levels of red, orange, yellow, and blue, where a red level is within 15 meters, an orange level is within 30 meters, a yellow level is within 50 meters, and a blue level is within 100 meters; the warning mode comprises highlighting reality risk elements, pop-up window information and early warning voice prompt in an augmented reality scene.
The drilling data of step S5 includes hole tracking records, hole opening records, footage, ground water level, standard penetration, dynamic sounding, sampling, formation description, final hole records, hole sealing records, and anomaly records.
In step S5, the association relationship between the drilling data and the drilling points is based on the number of the drilling points, and the drilling points are in one-to-one association with hole following records, hole opening records, groundwater level records, final hole records, hole sealing records and abnormal records; the drilling point and the return footage, the standard penetration, the dynamic penetration, the sampling and the stratum are described as one-to-many correlation.
The invention has the following beneficial effects:
the invention realizes the virtual display of the drilling point and the drilling safety risk factors in the real scene and the digital recording and the structured associated storage of the drilling data through the augmented reality scene auxiliary method based on the mobile terminal, is convenient for field personnel to inquire and navigate to the drilling point task, intelligently obtains the drilling safety risk early warning, and improves the efficiency and the quality of the drilling whole-flow operation. The method can be widely used for geological drilling operation of railway engineering, can be popularized and applied to relevant industries such as industrial and civil construction, water conservancy, highways and the like, and has remarkable social and economic benefits.
Drawings
FIG. 1 is a flow chart of a railway drilling auxiliary operation method based on an augmented reality scene under a mobile terminal according to the invention;
FIG. 2 is a diagram of a drilling mission map;
fig. 3 is a schematic view of an augmented reality scene under a mobile terminal.
In the figure:
1. drilling site 2, traffic road 3, river
4. Communication line 5, water supply pipeline 6 and drainage pipeline
7. Electric power line 11, mobile terminal 12, reality scene
13. Railway line 14, virtual drilling point 15 and virtual prompt information identification
16. Virtual underground pipeline 17, virtual power line 18 and virtual navigation mark
Detailed Description
The following describes the railway drilling auxiliary operation method based on the augmented reality scene under the mobile terminal in further detail with reference to the accompanying drawings.
Referring to fig. 1, the railway drilling auxiliary operation method based on the augmented reality scene under the mobile terminal of the invention comprises the following steps: s1, drilling task mapping and service publishing; s2, constructing an augmented reality scene under the mobile terminal; s3, inquiring and navigating a drilling task in an augmented reality scene; s4, warning the drilling safety risk in the augmented reality scene; and S5, recording and storing the drilling data through the mobile terminal. The method comprises the following specific steps:
s1, drilling task mapping and service publishing:
first, referring to fig. 2, safety risk data is collected for a drill site 1 and surrounding of a railroad geological survey arrangement, including sky obstacles, underground utility equipment, and sources of danger around a surface. Wherein, sky obstacle includes overhead power line 7, overhead communication line and trees etc, underground facilities equipment includes communication line 4, water supply pipe 5, drainage pipe 6, gas pipeline, heating power pipeline and industrial pipeline etc. the plane danger source all around includes traffic route (highway, existing railway) 2, river 3, pond and dangerous rock fall stone etc.. When the drilling point and the safety risk elements are in an unstructured graphic format, firstly vectorizing graphic data, and then manufacturing and forming a drilling point and safety risk vector data set; when the drilling point and the safety risk factors are structured data, the data are directly imported into a vector data set, and a data key field index and a spatial index are established.
Drilling points and safety risk vector layers under a three-dimensional plane scene are manufactured by utilizing the drilling points and the safety risk vector data sets, styles and attribute information of various drilling points and safety risk vectors are set, and a drilling task map in a GIS format is formed. The three-dimensional plane scene adopts a projection coordinate system, such as a WGS-1984-Web-Mercator coordinate system, and the elevation adopts a national standard elevation benchmark. The coordinates of the drilling point and the safety risk vector are required to be uniformly converted into the same projection coordinate system, and an elevation value is set. And generating a drilling point and safety risk vector slice cache file in a three-dimensional plane scene based on the drilling task map, and issuing a drilling task map service through a server.
S2, constructing an augmented reality scene under the mobile terminal:
the mobile terminal device 11 comprises a smart phone and a tablet which adopt an android system or an apple system, wherein the android system mobile terminal supports an ARCore function, and the apple system mobile terminal supports an ARKit function. The method for constructing the augmented reality scene under the mobile terminal comprises the following steps:
1) opening a camera function of the mobile terminal near the railway design line 13, and acquiring current camera space position information, including coordinates and elevations of the camera, an inclination angle of the camera along an axis of a scene coordinate system X, Y, Z and the like;
2) according to the camera space position, drilling task map service data are remotely acquired through a mobile network, the acquisition mode is a hierarchical tile mode, and drilling task tile data and attribute information of corresponding levels are transmitted according to the current visual range;
3) the mobile terminal background builds a virtual drilling point model and a safety risk vector model according to the drilling task data, and builds an association relation between the virtual model and the attributes;
4) and drawing a virtual model in a camera viewport based on the ARCore or the ARKit, displaying a drilling point in a point symbol style, displaying a safety risk vector in a line symbol style, and simultaneously drawing a prompt message identifier on a real entity to form an augmented reality scene.
In the schematic diagram of the augmented reality scene under the mobile terminal shown in fig. 3, 11 is a mobile terminal device, 12 is a real scene, 13 is a railway design route, 14 is a virtual drilling point, 15 is a virtual prompt information identifier, 16 is a virtual underground pipeline, 17 is a virtual power line, and 18 is a virtual navigation identifier.
S3, drilling task query and navigation in the augmented reality scene:
based on the augmented reality scene, a drilling task query and navigation tool is established, a drilling point is retrieved by inputting a drilling task number, a query area is drawn in the augmented reality scene to perform spatial retrieval on the drilling task, and the drilling task is browsed and screened through a drilling task list.
After the augmented reality scene selects the drilling task target, the drilling task attribute information can be checked, and the drilling navigation tool can navigate to a drilling task point, and the method comprises the following steps:
1) acquiring the geographical position (longitude Lng1, latitude Lat1) of a drilling point and current positioning information (longitude Lng2, Lat 2);
2) a navigation route is calculated based on the drilling point location and the current location. The computation can be customized through a background server or computed through a third-party platform, such as through a Gade map API service:
https:// restart. amap. com/v3/direction/driving ═ Lng2, Lat2& destination ═ Lng1, Lat1& out put ═ xml & key ═ key of the user;
3) displaying a global navigation route in a map scene in a vector diagram stacking mode;
4) and dynamically constructing a navigation mark virtual model by using navigation data within the range of 20m of the current positioning point, rendering a local navigation mark in the augmented reality scene, and indicating the current advancing direction.
S4, drilling safety risk warning under the augmented reality scene:
the safety risk warning mode comprises a highlight risk factor, pop-up window information and early warning voice prompt in an augmented reality scene. Under an augmented reality scene, updating and displaying a safety risk virtual model and drawing a safety risk information prompt identifier in real time according to the positioning of the mobile terminal;
setting a drilling task warning range, wherein the warning range comprises 4 levels of red, orange, yellow and blue, the red level is within 15 meters, the orange level is within 30 meters, the yellow level is within 50 meters, and the blue level is within 100 meters; through server backstage space inquiry service, warn to the safety risk in the scope automatically, warn through early warning pronunciation in the red warning scope, warn through pop-up window information in the orange warning scope, warn through high bright risk element mark in the yellow scope, warn through normally showing risk element mark in the blue scope.
S5, recording and storing the drilling data through the mobile terminal:
the method comprises the steps of recording drilling data and mobile terminal positioning information in the drilling process based on a mobile terminal, and shooting an on-site image, wherein the drilling data comprises hole following records, hole opening records, repeated footage, underground water level, standard penetration, dynamic sounding, sampling, stratum description, final hole records, hole sealing records and abnormal records.
The drilling data are stored in the mobile terminal in real time, and when a mobile network exists, the drilling data are transmitted to the server background, and the association relation between the drilling data and the drilling points is established on the basis of the number of the drilling points as the association basis. The drilling point is in one-to-one association with hole following record, hole opening record, underground water level, final hole record, hole sealing record and abnormal record, and the drilling point is in one-to-many association with next footage, standard penetration, dynamic sounding, sampling and stratum description.

Claims (9)

1. A railway drilling auxiliary operation method based on an augmented reality scene under a mobile terminal comprises the following steps:
s1, drilling task mapping and service publishing: collecting data of a railway drilling point and peripheral safety risks, and manufacturing a drilling point and safety risk vector data set; manufacturing drilling points and safety risk vector layers based on a three-dimensional plane scene, and setting styles and attribute information of various drilling points and safety risk vectors; generating a drilling point and safety risk vector slice cache file in a three-dimensional plane scene, and issuing a drilling task map service through a server;
s2, constructing an augmented reality scene under the mobile terminal: the drilling task map service is acquired by the field through a mobile terminal; the mobile terminal renders an augmented reality scene based on the service data, wherein the augmented reality scene comprises a drilling point and a safety risk element virtual model;
s3, drilling task query and navigation in the augmented reality scene: in an augmented reality scene, inquiring a drilling task in a number retrieval, space retrieval and list browsing mode; selecting a drilling task target, and navigating to a drilling point through an augmented reality scene;
s4, drilling safety risk warning under the augmented reality scene: under an augmented reality scene, updating and displaying a safety risk virtual model in real time according to the positioning of the mobile terminal; according to the set drilling task warning range, automatically warning the safety risk in the range;
s5, recording and storing the drilling data through the mobile terminal: recording drilling data and mobile terminal positioning information in a drilling process based on a mobile terminal, and shooting a field image; and storing the drilling data in a mobile terminal in real time, and transmitting the drilling data to a server background when a mobile network exists, so as to establish an association relation between the drilling data and a drilling point.
2. The railway drilling assistance work method according to claim 1, wherein: the mobile terminal comprises a smart phone and a tablet which adopt an android system or an apple system, wherein the android system mobile terminal supports an ARCore function, and the apple system mobile terminal supports an ARKit function.
3. The railway drilling assistance work method according to claim 1, wherein: the safety risks in step S1 include sky obstacles including overhead power lines, overhead communication lines, and trees, underground utility equipment, and planar surrounding hazard sources; the underground facility equipment comprises a communication line, an underground power line, a water supply pipeline, a drainage pipeline, a gas pipeline, a heat distribution pipeline and an industrial pipeline; the plane surrounding danger sources comprise highways, existing railways, rivers, ponds and dangerous falling rocks.
4. The railway drilling assistance work method according to claim 1, wherein: and S1, adopting a projection coordinate system for the three-dimensional plane scene, adopting a national standard elevation standard for the elevation, uniformly converting the coordinates of the drilling point and the safety risk vector into the same projection coordinate system, and setting an elevation value.
5. The railway drilling assistance work method according to claim 1, wherein: the step of acquiring the augmented reality scene in step S2 includes:
1) opening a camera of the mobile terminal, and acquiring current spatial position information of the camera, wherein the current spatial position information comprises coordinates and elevations of the camera and an inclination angle of the camera along an axis of a scene coordinate system X, Y, Z;
2) according to the camera space position information, remotely acquiring the map service data of the drilling task through a mobile network;
3) constructing a virtual drilling point model and a safety risk vector model according to the drilling task data;
4) and drawing a virtual model in a camera viewport based on the ARCore or the ARKit to form an augmented reality scene.
6. The railway drilling assistance work method according to claim 1, wherein: in step S3, the method of navigating to a drilling site includes the steps of:
1) acquiring the geographical position and current positioning information of a drilling point;
2) calculating a navigation route according to the position of the drilling point and the current positioning information;
3) displaying a global navigation route in a map scene in a vector diagram stacking mode;
4) and dynamically constructing a navigation mark virtual model by using navigation data within the range of 20m of the current positioning point, and rendering a local navigation mark in the augmented reality scene.
7. The railway drilling assistance work method according to claim 1, wherein: in step S4, the alert range includes 4 levels of red, orange, yellow, and blue, where a red level is within 15 meters, an orange level is within 30 meters, a yellow level is within 50 meters, and a blue level is within 100 meters; the warning mode comprises highlighting reality risk elements, pop-up window information and early warning voice prompt in an augmented reality scene.
8. The railway drilling assistance work method according to claim 1, wherein: the drilling data of step S5 includes hole tracking records, hole opening records, footage, ground water level, standard penetration, dynamic sounding, sampling, formation description, final hole records, hole sealing records, and anomaly records.
9. The railway drilling assistance work method according to claim 1, wherein: in step S5, the association relationship between the drilling data and the drilling points is based on the number of the drilling points, and the drilling points are in one-to-one association with hole following records, hole opening records, groundwater level records, final hole records, hole sealing records and abnormal records; the drilling point and the return footage, the standard penetration, the dynamic penetration, the sampling and the stratum are described as one-to-many correlation.
CN202110898368.4A 2021-08-05 2021-08-05 Railway drilling auxiliary operation method based on augmented reality scene under mobile terminal Pending CN113445987A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110898368.4A CN113445987A (en) 2021-08-05 2021-08-05 Railway drilling auxiliary operation method based on augmented reality scene under mobile terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110898368.4A CN113445987A (en) 2021-08-05 2021-08-05 Railway drilling auxiliary operation method based on augmented reality scene under mobile terminal

Publications (1)

Publication Number Publication Date
CN113445987A true CN113445987A (en) 2021-09-28

Family

ID=77818217

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110898368.4A Pending CN113445987A (en) 2021-08-05 2021-08-05 Railway drilling auxiliary operation method based on augmented reality scene under mobile terminal

Country Status (1)

Country Link
CN (1) CN113445987A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11855831B1 (en) 2022-06-10 2023-12-26 T-Mobile Usa, Inc. Enabling an operator to resolve an issue associated with a 5G wireless telecommunication network using AR glasses

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015051207A1 (en) * 2013-10-03 2015-04-09 Westerngeco Llc Seismic survey using an augmented reality device
CN109741010A (en) * 2018-12-14 2019-05-10 四川省交通运输厅交通勘察设计研究院 A kind of road interactive mode field investigation system based on BIM and AR technology
CN109911140A (en) * 2019-04-09 2019-06-21 上海萃钛智能科技有限公司 A kind of water-area navigation information enhancement device, system and method
CN110001518A (en) * 2017-12-13 2019-07-12 虚拟现实软件 Method and apparatus of the real time enhancing people to the visual field of the mining vehicle of getter ground
CN112287928A (en) * 2020-10-20 2021-01-29 深圳市慧鲤科技有限公司 Prompting method and device, electronic equipment and storage medium
CN112527100A (en) * 2020-11-09 2021-03-19 义乌市输变电工程有限公司 Remote assistance method and device based on intelligent wearable equipment
CN113139529A (en) * 2021-06-21 2021-07-20 北京科技大学 Linear cultural heritage exploration method and system, storage medium and electronic equipment

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015051207A1 (en) * 2013-10-03 2015-04-09 Westerngeco Llc Seismic survey using an augmented reality device
CN105723249A (en) * 2013-10-03 2016-06-29 西方奇科抗震控股有限公司 Seismic survey using an augmented reality device
CN110001518A (en) * 2017-12-13 2019-07-12 虚拟现实软件 Method and apparatus of the real time enhancing people to the visual field of the mining vehicle of getter ground
CN109741010A (en) * 2018-12-14 2019-05-10 四川省交通运输厅交通勘察设计研究院 A kind of road interactive mode field investigation system based on BIM and AR technology
CN109911140A (en) * 2019-04-09 2019-06-21 上海萃钛智能科技有限公司 A kind of water-area navigation information enhancement device, system and method
CN112287928A (en) * 2020-10-20 2021-01-29 深圳市慧鲤科技有限公司 Prompting method and device, electronic equipment and storage medium
CN112527100A (en) * 2020-11-09 2021-03-19 义乌市输变电工程有限公司 Remote assistance method and device based on intelligent wearable equipment
CN113139529A (en) * 2021-06-21 2021-07-20 北京科技大学 Linear cultural heritage exploration method and system, storage medium and electronic equipment

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
吴浩然: "《斑点牛测绘师笔记 上 测绘综合能力》", 陕西科技大学出版社, pages: 327 - 339 *
高慧君: "《智慧的空间位置 智慧城市时代的GIS》", 30 June 2014, pages: 103 - 108 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11855831B1 (en) 2022-06-10 2023-12-26 T-Mobile Usa, Inc. Enabling an operator to resolve an issue associated with a 5G wireless telecommunication network using AR glasses

Similar Documents

Publication Publication Date Title
CN110532952B (en) Flood risk early warning and evacuation system based on GIS positioning technology
US9292813B2 (en) System and method for collecting and organizing information related to utility assets
US7482973B2 (en) Precision GPS driven utility asset management and utility damage prevention system and method
US8081112B2 (en) System and method for collecting information related to utility assets
US20160071059A1 (en) Infrastructure management, model, and deliverable creation system and method of use
KR101450133B1 (en) System and Method for Providing Underground Utilities Cross Section Information based on Augmented Reality
CN111241611B (en) Method for assisting foundation pit implementation
CN102706323B (en) Tower footing section extracting method based on airborne laser radar data
CN108957507A (en) Fuel gas pipeline leakage method of disposal based on augmented reality
CN113445987A (en) Railway drilling auxiliary operation method based on augmented reality scene under mobile terminal
CN113989431A (en) Construction method of three-dimensional visual dynamic monitoring structure model of underground water resource
Balogun et al. Geovisualization of sub-surface pipelines: a 3D approach
CN204740486U (en) Based on GPS, GIS, GPRS pipeline leaking point remote monitering system
KR100877073B1 (en) Device for surveying pipe and method for surveying pipe using the same and system for surveying pipe using the same
CN108958466A (en) Excavation Training Methodology based on virtual reality technology
KR100481066B1 (en) Method and apparatus for managing a facility using electronic signal
CN110717233A (en) Rainwater pipe network flow calculation method and system based on GIS underlying surface analysis
Tang et al. Design and application of risk early warning system for subway station construction based on building information modeling real-time model
CN112131692A (en) Gas pipeline construction method
TW201516985A (en) Slope safety analysis system using portable electronic device and method thereof
CN111881195A (en) Data management system for civil engineering detection and management method thereof
Tang et al. Research on Digital Monitoring Technology for Airport High-Pressure Rotary Jet Piles
Momin et al. Mapping of the assets and utilities: a vision for the development of smart cities in India
Chang et al. Design and realization of a 3D and user-oriented auxiliary system for electric power engineering field survey
Huang et al. Design of long distance pipeline information management based on gis

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20210928