CN112282847B - Deformation monitoring method for underground coal mine roadway - Google Patents

Deformation monitoring method for underground coal mine roadway Download PDF

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Publication number
CN112282847B
CN112282847B CN202010982154.0A CN202010982154A CN112282847B CN 112282847 B CN112282847 B CN 112282847B CN 202010982154 A CN202010982154 A CN 202010982154A CN 112282847 B CN112282847 B CN 112282847B
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data
roadway
dimensional
coal mine
deformation
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CN112282847A (en
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王瑜
王利欣
孔凡平
胡成军
李波
杜畅
步子豪
刘冰玉
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China Coal Tianjin Underground Engineering Intelligent Research Institute Co ltd
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China Coal Tianjin Underground Engineering Intelligent Research Institute Co ltd
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    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21FSAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
    • E21F17/00Methods or devices for use in mines or tunnels, not covered elsewhere
    • E21F17/18Special adaptations of signalling or alarm devices
    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21FSAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
    • E21F17/00Methods or devices for use in mines or tunnels, not covered elsewhere
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models

Abstract

The invention provides a coal mine underground roadway deformation monitoring system and a monitoring method thereof, wherein the coal mine underground roadway deformation monitoring system comprises a three-dimensional laser scanning device, an auxiliary system, three-dimensional point cloud data processing software, data analysis software and an underground three-dimensional management monitoring platform, and the coal mine underground roadway deformation monitoring method comprises the following steps: arranging control points; acquiring data by using a three-dimensional laser scanning device; processing data by using three-dimensional point cloud data processing software; data analysis was performed using data analysis software. The method can adapt to the roadway environment, quickly acquire the three-dimensional point cloud data of the roadway, realize deformation analysis of the underground mine roadway by means of more intelligent and comprehensive means, simultaneously compare the three-dimensional model data of the roadway in two stages under the same coordinate system to obtain the deformation amount of the roadway in a monitoring period, realize the loading of large-scale three-dimensional data and the graph rendering technology through the three-dimensional management monitoring platform, and improve the data management and information retrieval capabilities.

Description

Deformation monitoring method for underground coal mine roadway
Technical Field
The invention belongs to the technical field of deformation monitoring methods for underground coal mine roadways, and particularly relates to a deformation monitoring method for an underground coal mine roadway.
Background
At present, a top plate separation instrument mode and a pull rule measurement mode are adopted in a coal mine underground deformation monitoring mode, a section is taken every 50m in a roadway, four points are arranged on the section, the distances between two side points and a top bottom plate point are measured, data in different periods are compared, and the deformation of the section is obtained. When a certain section of area is found to be large in deformation, the area is encrypted, the convergence amount of the two sides and the top plate, namely a curve of the convergence rate changing along with time, is drawn through measured data, and the deformation rule of the roadway is obtained through analysis. This mode can not realize the deformation continuous monitoring to whole tunnel, has the data transfer not real-time, data acquisition is not comprehensive, the data form is not directly perceived, the poor scheduling problem of precision, and measurement personnel's amount of labour is great simultaneously, and deformation monitoring's inefficiency lacks accurate analysis and comparison function.
The existing mine production management is established on two-dimensional data based on AutoCAD, the requirements of production-oriented transparence and fine management cannot be met, and the existing three-dimensional modeling technologies such as BIM and the like are difficult to realize rapid and efficient modeling.
Therefore, a method for monitoring deformation of a coal mine underground roadway is needed, an information island is broken, various production data, environmental data and safety data are effectively fused, enhanced data application is realized, and the management level of a coal mine is effectively improved.
Disclosure of Invention
In order to solve the technical problems, the invention provides a coal mine underground roadway deformation monitoring method, wherein the coal mine underground roadway deformation monitoring system comprises a three-dimensional laser scanning device, an auxiliary system, three-dimensional point cloud data processing software, data analysis software and an underground three-dimensional management monitoring platform, and the coal mine underground roadway deformation monitoring method comprises the following steps:
s1: control point arrangement: according to the accuracy requirement of results, data acquisition is carried out according to a certain monitoring period, before each data acquisition, a proper position needs to be selected in a measuring area environment, an underground positioning technology is used, and a plurality of control points are arranged in the measuring area;
s2: data acquisition: after the control points are set, selecting proper positions to set the survey stations, optimally arranging a station network according to station setting planning, striving for obtaining the maximum coverage area with the minimum number of the stations, reducing the splicing times, performing fine scanning on local improved resolution and quality parameters after previewing and scanning by using a three-dimensional laser scanning device in a key scanning area, and sequentially scanning each single station until field collection work is finished;
s3: data processing: the method comprises the steps that original files stored in a three-dimensional laser scanning device are imported by utilizing three-dimensional point cloud data processing software and converted into three-dimensional data, the scanned data exist independently in a multi-group mode, and the mutual position relation is uncertain, so that the data of single stations are spliced into a scanning whole with correct relative relation by utilizing the three-dimensional point cloud data processing software, after the scanning whole is registered, useful points in a measuring area need to be reserved, useless points outside the measuring area are eliminated, and after a useful clean point cloud is obtained, the data are converted into a general format to be output to prepare for next data analysis;
s4: and (3) data analysis: and transferring the processed data into data analysis software for data analysis, taking the two-stage data to generate a high-precision roadway triangulation network model, simultaneously placing the high-precision roadway triangulation network model in the same coordinate system for comparison and analysis, accurately obtaining the deformation of the roadway, independently intercepting a certain roadway section, performing two-dimensional section comparison, and conveying a comparison result to a three-dimensional management monitoring platform for data storage and management.
Preferably, each single station scans in sequence, whether the scanning result is normal or not needs to be checked after each station scans, whether the reference target ball or the prism is in the measuring range or not, and whether a passing pedestrian or vehicle blocks the measured area or not.
Preferably, the scanning entity is matched with the coordinate system of the local mining area when being spliced.
Preferably, the two-phase data comparison refers to comparing the data acquired this time with the data acquired last time.
Preferably, the three-dimensional laser scanning device can realize deformation monitoring of the underground coal mine roadway and can realize accurate modeling of the underground roadway.
Compared with the prior art, the invention has the following beneficial effects: the method can adapt to the roadway environment, quickly acquire the three-dimensional point cloud data of the roadway, realize deformation analysis of the underground mine roadway by means of more intelligent and comprehensive means, simultaneously compare the three-dimensional model data of the roadway in two stages under the same coordinate system to obtain the deformation amount of the roadway in a monitoring period, realize the loading and graph rendering technology of large-scale three-dimensional data through the three-dimensional management monitoring platform, solve the problems of storage, management and visualization of continuously generated data, and improve the data management and information retrieval capabilities.
Drawings
FIG. 1 is a diagram of the steps of the monitoring method of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings:
example (b):
as shown in figure 1:
the invention provides a coal mine underground roadway deformation monitoring method, wherein the coal mine underground roadway deformation monitoring system comprises a three-dimensional laser scanning device, an auxiliary system, three-dimensional point cloud data processing software, data analysis software and an underground three-dimensional management monitoring platform, and the coal mine underground roadway deformation monitoring method comprises the following steps:
(1) Control point arrangement: according to achievement precision requirement, carry out the collection work of data according to certain monitoring cycle respectively, before every data acquisition, need in the test area environment, select suitable position, use the location technology in the pit, set up some control points at the test area, the effect of control point is:
1. the measurement precision is improved, and the operation is carried out in a surveying and mapping mode;
2. providing splicing basis for subsequent independent scanning survey station data;
3. placing the data of multiple periods under the same coordinate system to provide a uniform reference for later data analysis;
(2) Data acquisition: after the control points are set, selecting proper positions to set the survey stations, optimally arranging a station network according to station setting planning, striving for obtaining the maximum coverage area with the minimum station setting quantity, reducing the splicing times, performing fine scanning on local improved resolution and quality parameters after a key scanning area is previewed and scanned by a three-dimensional laser scanning device, sequentially scanning each single station, checking whether a scanning result is normal or not after scanning of each station is finished, and referring whether a target or a prism ball is in a measuring range or not, and whether a passing pedestrian or vehicle shelters the tested area or not until field collection work is finished;
(3) Data processing: the method comprises the steps that original files stored in a three-dimensional laser scanning device are imported by utilizing three-dimensional point cloud data processing software and converted into three-dimensional data, the scanned data exist independently in a multi-group mode, and the mutual position relation is uncertain, so that the data of single stations are spliced into a scanning whole with correct relative relation by utilizing the three-dimensional point cloud data processing software, the scanning whole is matched with a coordinate system of a local mine area when being spliced, after the scanning whole is registered, useful points in the measuring area need to be reserved, the useless points outside the measuring area are eliminated, a useful clean point cloud is obtained, the data are converted into a general format to be output, and preparation is made for next data analysis;
(4) And (3) data analysis: and transferring the processed data into data analysis software for data analysis, taking two-stage data to generate a high-precision roadway triangulation network model, wherein the two-stage data refers to data acquired in the week and data acquired in the last week, and simultaneously placing the data acquired in the week and the data acquired in the last week in the same coordinate system for comparison and analysis, so that the deformation of the roadway can be accurately obtained, a certain roadway section can be independently intercepted, two-dimensional section comparison is carried out, and the comparison result is transmitted to a three-dimensional management monitoring platform for data storage and management.
Specifically, the comparison result is transmitted to a three-dimensional management monitoring platform, so that the following functions are realized:
1. the underground coal mine scanning data comprehensive management center performs unified management on data;
2. the time-based three-dimensional management of the underground three-dimensional scene is realized, and the three-dimensional management comprises the storage, visualization and data updating of underground roadways and equipment three-dimensional data;
3. through the solid model, the device and roadway coordinates, length, width, height and volume can be rapidly measured;
4. generating a high-precision roadway triangulation network model to visualize monitoring data, aiming at a roadway model of a certain section, realizing time-based management, displaying roadway models of different stages according to a time axis, and visually seeing the change process of the roadway in a certain time period;
5. the method can be combined with the actual requirements and the characteristics of safe production in mining areas to formulate and perfect underground roadway monitoring operation rules and system maintenance rules.
The technical solutions of the present invention or similar technical solutions designed by those skilled in the art based on the teachings of the technical solutions of the present invention are all within the scope of the present invention.

Claims (5)

1. The deformation monitoring method for the underground coal mine roadway is characterized by comprising a three-dimensional laser scanning device, an auxiliary system, three-dimensional point cloud data processing software, data analysis software and an underground three-dimensional management monitoring platform, and the deformation monitoring method for the underground coal mine roadway comprises the following steps:
s1: control point arrangement: according to the accuracy requirement of results, data acquisition is carried out according to a certain monitoring period, before each data acquisition, a proper position needs to be selected in a measuring area environment, an underground positioning technology is used, and a plurality of control points are arranged in the measuring area;
s2: data acquisition: after the control points are set, selecting proper positions to set the survey stations, optimally arranging a station network according to station setting planning, striving for obtaining the maximum coverage area with the minimum station setting number, reducing the splicing times, performing fine scanning on local improved resolution and quality parameters after previewing and scanning by using a three-dimensional laser scanning device in a key scanning area, and sequentially scanning each single station;
s3: data processing: the method comprises the steps that original files stored in a three-dimensional laser scanning device are imported by utilizing three-dimensional point cloud data processing software and converted into three-dimensional data, the scanned data exist independently in a multi-group mode, and the mutual position relation is uncertain, so that the data of single stations are spliced into a scanning whole with correct relative relation by utilizing the three-dimensional point cloud data processing software, after the scanning whole is registered, useful points in a measuring area need to be reserved, useless points outside the measuring area are eliminated, and after a useful clean point cloud is obtained, the data are converted into a general format to be output to prepare for next data analysis;
s4: and (3) data analysis: and transferring the processed data into data analysis software for data analysis, taking the two-stage data to generate a high-precision roadway triangulation network model, simultaneously placing the high-precision roadway triangulation network model in the same coordinate system for comparison and analysis, accurately obtaining the deformation of the roadway, independently intercepting a certain roadway section, performing two-dimensional section comparison, and conveying a comparison result to a three-dimensional management monitoring platform for data storage and management.
2. The method for monitoring deformation of the underground coal mine roadway according to claim 1, wherein each single station carries out scanning in sequence, whether the scanning result is normal or not needs to be checked after each station finishes scanning, whether a reference target ball or a prism is within a measuring range or not, and whether a passing pedestrian or vehicle blocks a measured area or not.
3. The method for monitoring deformation of the coal mine underground roadway according to claim 1, wherein the scanning entirety is matched with a coordinate system of a local mining area during splicing.
4. The method for monitoring deformation of the coal mine underground roadway as claimed in claim 1, wherein the two-phase data comparison is comparison between data obtained this time and data obtained last time.
5. The method for monitoring deformation of the underground coal mine roadway according to claim 1, wherein the three-dimensional laser scanning device can realize deformation monitoring of the underground coal mine roadway and can realize accurate modeling of the underground coal mine roadway.
CN202010982154.0A 2020-09-17 2020-09-17 Deformation monitoring method for underground coal mine roadway Active CN112282847B (en)

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CN112945121B (en) * 2021-02-05 2022-12-27 安徽理工大学 Roadway multi-view vision measurement method and device based on line structured light scanning
CN113267136A (en) * 2021-04-30 2021-08-17 东北大学 Laser scanning device and method for monitoring whole-range deformation of mine production shaft
CN113643149B (en) * 2021-07-07 2024-03-19 国网四川省电力公司 Substation monitoring layout optimization method and device for full coverage monitoring
CN113945189A (en) * 2021-09-30 2022-01-18 国能神东煤炭集团有限责任公司 Roadway deformation monitoring method and system, electronic equipment and storage medium
CN115200540B (en) * 2022-07-08 2023-07-28 安徽省皖北煤电集团有限责任公司 Mine roadway deformation monitoring and early warning method and system
CN115792949B (en) * 2023-02-10 2023-04-25 深圳酷源数联科技有限公司 Deformation monitoring method and system suitable for mine roadway
CN116756893B (en) * 2023-06-16 2024-01-05 深圳讯道实业股份有限公司 Power transmission and distribution cable layout and control method applied to industrial and mining control system

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CN203702258U (en) * 2014-02-14 2014-07-09 西安煤航卫星数据应用有限公司 Data collection system for mine tunnel three-dimensional modeling
CN108931232A (en) * 2018-09-05 2018-12-04 上海华测导航技术股份有限公司 A kind of safety monitoring and evaluation method in goaf
CN109736894B (en) * 2018-11-27 2020-07-03 中国矿业大学 Monitoring system, monitoring method and early warning method for coal mine roadway surrounding rock disasters
CN111272093B (en) * 2020-03-20 2022-04-19 陕西煤业化工技术研究院有限责任公司 Roadway deformation monitoring method
CN111650344A (en) * 2020-07-07 2020-09-11 中冶北方(大连)工程技术有限公司 Underground information acquisition system and method based on crawler-type intelligent robot

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