[go: up one dir, main page]

CN110542388A - Tunnel Face Deformation Alarm Method Based on Mobile 3D Laser Scanning - Google Patents

Tunnel Face Deformation Alarm Method Based on Mobile 3D Laser Scanning Download PDF

Info

Publication number
CN110542388A
CN110542388A CN201910916083.1A CN201910916083A CN110542388A CN 110542388 A CN110542388 A CN 110542388A CN 201910916083 A CN201910916083 A CN 201910916083A CN 110542388 A CN110542388 A CN 110542388A
Authority
CN
China
Prior art keywords
point cloud
tunnel face
cloud data
dimensional laser
mobile
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
CN201910916083.1A
Other languages
Chinese (zh)
Inventor
赵瑜
滕明阳
毕靖
王超林
全大国
李佳申
杨进强
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.)
Guizhou University
Original Assignee
Guizhou University
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 Guizhou University filed Critical Guizhou University
Priority to CN201910916083.1A priority Critical patent/CN110542388A/en
Publication of CN110542388A publication Critical patent/CN110542388A/en
Pending legal-status Critical Current

Links

Classifications

    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/16Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge

Landscapes

  • Engineering & Computer Science (AREA)
  • Mining & Mineral Resources (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Geology (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention discloses a tunnel face deformation alarm method based on mobile three-dimensional laser scanning, which comprises the following steps: selecting a tunnel face to be monitored, and unifying coordinates by using a prism and a total station; installing a mobile rail trolley prepared in advance, and fixing a three-dimensional laser scanner on the mobile rail trolley; determining a tunnel face monitoring point, and acquiring point cloud data by using a three-dimensional laser scanner; processing the acquired point cloud data by using point cloud processing software, and determining the corresponding position of the monitoring point of the tunnel face in the whole point cloud data; acquiring a deformation value of a tunnel face monitoring point according to the point cloud data, and setting an early warning threshold value in alarm software; and judging whether to automatically alarm according to whether the rock-soil deformation value of the tunnel face exceeds an early warning threshold value. Has the advantages that: the invention realizes real-time monitoring of the tunnel face and meets the safety requirement of the tunnel face during operation.

Description

基于移动三维激光扫描的隧道掌子面变形报警方法Tunnel Face Deformation Alarm Method Based on Mobile 3D Laser Scanning

技术领域technical field

本发明涉及隧道掌子面监控技术领域,具体来说,涉及基于移动三维激光扫描的隧道掌子面变形报警方法。The invention relates to the technical field of tunnel face monitoring, in particular to a tunnel face deformation alarm method based on mobile three-dimensional laser scanning.

背景技术Background technique

进入21世纪,地铁隧道、公路隧道、高铁隧道等隧道的监控主要采用的方法是利用全站仪、水淮仪、收敛仪等传统监测仪器,通过布设监测点,设计观测方案,以及各种平差,获得点位坐标和点位变化信息,得到隧道的断面变形、收敛变形水平位移隧道沉降、掌子面变形等方面的信息。但他们都是在采集单个控制点的三维坐标,需要采集海量的数据,花费的时间较多,这样就导致观测精度降低。同时传统监控方法只能监控监控点周围部分部分变形,无法获得隧道的整体变化,这对于衡量隧道安全来说是十分不利的。In the 21st century, the monitoring methods of tunnels such as subway tunnels, highway tunnels, and high-speed rail tunnels are mainly based on traditional monitoring instruments such as total stations, hydrometers, and convergent instruments. Obtain point coordinates and point change information, obtain tunnel section deformation, convergence deformation horizontal displacement tunnel settlement, face deformation and other information. However, they are all collecting the three-dimensional coordinates of a single control point, which requires massive data collection and takes a lot of time, which leads to a decrease in observation accuracy. At the same time, the traditional monitoring method can only monitor the partial deformation around the monitoring point, and cannot obtain the overall change of the tunnel, which is very unfavorable for measuring the safety of the tunnel.

三维激光扫描技术是继GPS之后测绘史上又一突破性革新,三维激光扫描仪能够对空间场景进行精细的扫描,获取三维激光点云进行三维建模,通过软件可以对点云数据进行多种后处理,比如计量、分析、测绘监测、展示等。三维激光扫描技术又称为实景复制技术,它具有非接触、扫描速度快、获取信息量大精度高并且对环境要求较低等优点。激光扫描通过自身发射光束,可以解决隧道光线不足的问题,适合隧道参数的测量。三维激光扫描技术成熟,将三维激光扫描技术应用于隧道监测已经成为国内外研究的热点,能够提高监测效率,也能够获得隧道的整体变形。3D laser scanning technology is another breakthrough innovation in the history of surveying and mapping after GPS. 3D laser scanners can finely scan space scenes, obtain 3D laser point clouds for 3D modeling, and perform various post-processing on point cloud data through software. Processing, such as measurement, analysis, surveying and mapping monitoring, display, etc. Three-dimensional laser scanning technology, also known as real scene replication technology, has the advantages of non-contact, fast scanning speed, large amount of information, high precision and low environmental requirements. Laser scanning can solve the problem of insufficient light in tunnels by emitting beams by itself, and is suitable for the measurement of tunnel parameters. The 3D laser scanning technology is mature, and the application of 3D laser scanning technology to tunnel monitoring has become a research hotspot at home and abroad, which can improve the monitoring efficiency and obtain the overall deformation of the tunnel.

在隧道工程的修建过程中,不可避免的会遇到各种各样复杂的工程地质条件,给工程施工带来难度。而在隧道开挖过程中,掌子面可能出现坍塌、落石、掉石,也可能因为水压导致掌子面变形甚至发生工程事故,近几年因隧道掌子面不稳定而发生的隧道坍方事故常见报道,越来越多地引起了学术界和工程界的高度关注,很多基础和应用问题也亟待解决。实际设计以及施工中,大多根据工程师的经验确定,因此难以保证隧道掌子面的施工安全。In the construction process of tunnel engineering, it is inevitable to encounter various complex engineering geological conditions, which brings difficulties to engineering construction. In the process of tunnel excavation, the face of the tunnel may collapse, rockfall, rockfall, or deformation of the face due to water pressure or even engineering accidents. In recent years, tunnel collapses have occurred due to instability of the face of the tunnel. The common reports of accidents have attracted more and more attention from the academic and engineering circles, and many basic and application problems need to be solved urgently. In the actual design and construction, most of them are determined according to the experience of engineers, so it is difficult to guarantee the construction safety of the tunnel face.

然而,在隧道复杂环境下,现有监控方法的对掌子面的控制与监控将会非常困难,同时全站仪测量数据庞大,不好处理,因此急需一种新的方法来实时监控隧道掌子面,以免发生岩土滑落,造成工程事故。However, in the complex environment of the tunnel, it will be very difficult to control and monitor the tunnel face with the existing monitoring methods. At the same time, the measurement data of the total station is huge and difficult to handle. Therefore, a new method is urgently needed to monitor the tunnel face in real time. face, so as to avoid rock and soil slipping, resulting in engineering accidents.

发明内容Contents of the invention

针对相关技术中的问题,本发明提供了应用于移动式三维激光扫描技术的隧道掌子面变形自动化报警系统,本发明可以实现对掌子面实时监控,并能使最大偏差在毫米级别,避免落石危及作业人员的安全。本发明以Z+F三维激光扫描仪为核心的隧道监控方案,不仅精度达到规范要求,且比平时工程师表面观察更准确,也更安全。本发明可以可应用于各种隧道的掌子面的监控,以保证隧道的安全。Aiming at the problems in related technologies, the present invention provides an automatic alarm system for tunnel face deformation applied to mobile three-dimensional laser scanning technology. Falling rocks endanger the safety of workers. The tunnel monitoring scheme based on the Z+F three-dimensional laser scanner of the present invention not only meets the specification requirements in precision, but also is more accurate and safer than the usual surface observation by engineers. The present invention can be applicable to the monitoring of the working faces of various tunnels to ensure the safety of the tunnels.

为此,本发明采用的具体技术方案如下:提供了一种基于移动三维激光扫描的隧道掌子面变形报警方法,包括以下步骤:For this reason, the specific technical scheme adopted by the present invention is as follows: a method for alarming deformation of tunnel face based on mobile three-dimensional laser scanning is provided, comprising the following steps:

选择所需监控的掌子面,并利用棱镜和全站仪统一坐标;Select the tunnel face to be monitored, and use the prism and total station to unify the coordinates;

安装预先备置的移动式轨道小车,并将三维激光扫描仪固定于所述移动式轨道小车上;Installing a pre-prepared mobile rail trolley, and fixing the three-dimensional laser scanner on the mobile rail trolley;

确定所述掌子面监控点,并利用所述三维激光扫描仪获取的点云数据;Determining the monitoring points on the face of the face, and using the point cloud data obtained by the three-dimensional laser scanner;

利用点云处理软件对获取的所述点云数据进行处理,并确定所述掌子面监控点在整个所述点云数据中所对应的位置;Using point cloud processing software to process the acquired point cloud data, and determine the corresponding position of the face monitoring point in the entire point cloud data;

依据所述点云数据获取所述掌子面监控点的变形值,同时在报警软件中设置预警阀值;Obtaining the deformation value of the tunnel surface monitoring point according to the point cloud data, and setting the early warning threshold in the alarm software at the same time;

将所述掌子面的岩土变形值与所述预警阀值进行对比,并判断是否进行自动报警。Comparing the geotechnical deformation value of the tunnel face with the early warning threshold, and judging whether to issue an automatic alarm.

进一步,在选择所需监控的掌子面,并利用棱镜和全站仪同一坐标中还包括以下步骤:Further, the following steps are also included in selecting the face to be monitored and utilizing the same coordinates of the prism and the total station:

利用所述全站仪和所述棱镜控制所述掌子面的初始坐标,即利用所述棱镜完成点云的定向定位,使点云坐标与实际坐标相统一。The initial coordinates of the tunnel face are controlled by the total station and the prism, that is, the orientation and positioning of the point cloud is completed by using the prism, so that the coordinates of the point cloud are unified with the actual coordinates.

进一步,在安装移动式轨道小车,并将三维激光扫描仪固定于所述移动式轨道小车上还包括以下步骤:Further, installing the mobile track car and fixing the three-dimensional laser scanner on the mobile track car also includes the following steps:

当隧道放炮结束即初步出渣后在距离所述掌子面10-50m之间安装10m的简易移动式轨道小车,并将所述三维激光扫描仪安装在所述移动式轨道小车上。When the blasting of the tunnel is completed and the slag is initially discharged, a simple mobile rail car with a distance of 10-50 m from the tunnel face is installed, and the three-dimensional laser scanner is installed on the mobile rail car.

进一步,在确定所述掌子面监控点,并利用所述三维激光扫描仪获取的点云数据中还包括以下步骤:Further, the following steps are further included in determining the monitoring point of the face and using the point cloud data obtained by the 3D laser scanner:

当放炮和初步处理残渣后,根据隧道围岩等级和现场施工方案在所述掌子面上布置多个监控点,并利用所述全站仪配合所述三维激光扫描议建立统一的坐标系;After blasting and preliminary treatment of residues, a plurality of monitoring points are arranged on the tunnel face according to the grade of the surrounding rock of the tunnel and the site construction plan, and a unified coordinate system is established by using the total station to cooperate with the three-dimensional laser scanning;

保证每一激光扫描测站之间设立至少三个公共的工作基点,并用所述三维激光扫描仪获取每一所述激光扫描测站的工作基点坐标以及隧道点云。Ensure that at least three common working base points are established between each laser scanning station, and use the three-dimensional laser scanner to obtain the working base point coordinates and tunnel point cloud of each laser scanning station.

进一步,所述点云处理软件包括RealWorks Suryey、Imageware等专业的点云处理软件中的一种。Further, the point cloud processing software includes one of professional point cloud processing software such as RealWorks Suryey and Imageware.

进一步,利用点云处理软件对获取的所述点云数据进行处理具体包括以下步骤:Further, using point cloud processing software to process the acquired point cloud data specifically includes the following steps:

首先,利用所述点云处理软件对获取的所述点云数据进行去噪、配准、分割和合并处理;First, using the point cloud processing software to perform denoising, registration, segmentation and merging processing on the acquired point cloud data;

然后,利用所述点云处理软件对所述点云数据进行精简和排序;Then, utilize the point cloud processing software to streamline and sort the point cloud data;

最后,利用所述点云处理软件把所得的点云数据进行拼接,得到隧道掌子面整体的点云数据。Finally, use the point cloud processing software to splice the obtained point cloud data to obtain the point cloud data of the tunnel face as a whole.

进一步,依据所述点云数据获取所述掌子面监控点的变形值,具体包括以下步骤:Further, obtaining the deformation value of the face monitoring point according to the point cloud data specifically includes the following steps:

根据所述掌子面监控点在整个所述点云数据中所对应的位置,得到各所述监控点在整体所述点云数据中所在的位置;Obtain the position of each of the monitoring points in the overall point cloud data according to the corresponding positions of the palm face monitoring points in the entire point cloud data;

从整体所述点云数据中以所述监控点为中心提取一定范围的点云数据,对提取的所述点云数据进行正态分布拟合,即可得到所述掌子面各监控点周围岩土变形破坏情况。From the overall point cloud data, a certain range of point cloud data is extracted with the monitoring point as the center, and the extracted point cloud data is fitted with a normal distribution to obtain the surrounding area of each monitoring point on the face of the tunnel. Deformation and damage of rock and soil.

进一步,将所述掌子面的岩土变形值与所述预警阀值进行对比,并判断是否进行自动报警,具体包括以下步骤:Further, comparing the geotechnical deformation value of the tunnel face with the early warning threshold, and judging whether to perform an automatic alarm, specifically including the following steps:

当所述掌子面的岩土变形值超过所述预警阈值时进行自动语音报警;When the geotechnical deformation value of the tunnel face exceeds the early warning threshold, an automatic voice alarm is issued;

当所述掌子面的岩土变形值没有超过所述预警阈值时不进行自动语音报警。When the geotechnical deformation value of the tunnel face does not exceed the warning threshold, no automatic voice alarm is given.

本发明的有益效果为:The beneficial effects of the present invention are:

1、本发明可以实现对掌子面实时监控,并能使最大偏差在毫米级别,避免落石危及作业人员的安全。1. The present invention can realize real-time monitoring of the working surface, and can make the maximum deviation at the millimeter level, so as to avoid falling rocks from jeopardizing the safety of workers.

2、本发明以Z+F三维激光扫描仪为核心的隧道掌子面监控方案,不仅精度达到规范要求,且比平时工程师表面观察更准确,也更安全。2. The tunnel face monitoring solution based on the Z+F three-dimensional laser scanner of the present invention not only meets the specification requirements in precision, but also is more accurate and safer than the usual surface observation by engineers.

3、本发明可以可应用于各种隧道的掌子面的监控,以保证隧道工作人员的安全。3. The present invention can be applied to the monitoring of the face of various tunnels to ensure the safety of tunnel workers.

附图说明Description of drawings

为了更清楚地说明本发明实施例或现有技术中的技术方案,下面将对实施例中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some of the present invention. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

图1是根据本发明实施例的基于移动三维激光扫描的隧道掌子面变形报警方法的流程示意图。Fig. 1 is a schematic flowchart of a tunnel face deformation warning method based on mobile three-dimensional laser scanning according to an embodiment of the present invention.

具体实施方式Detailed ways

为进一步说明各实施例,本发明提供有附图,这些附图为本发明揭露内容的一部分,其主要用以说明实施例,并可配合说明书的相关描述来解释实施例的运作原理,配合参考这些内容,本领域普通技术人员应能理解其他可能的实施方式以及本发明的优点,图中的组件并未按比例绘制,而类似的组件符号通常用来表示类似的组件。In order to further illustrate the various embodiments, the present invention provides accompanying drawings, which are part of the disclosure of the present invention, and are mainly used to illustrate the embodiments, and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments, for reference Those of ordinary skill in the art should be able to understand other possible implementations and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.

根据本发明的实施例,提供了基于移动三维激光扫描的隧道掌子面变形报警方法。According to an embodiment of the present invention, a tunnel face deformation warning method based on mobile three-dimensional laser scanning is provided.

现结合附图和具体实施方式对本发明进一步说明,如图1所示,根据本发明实施例的基于移动三维激光扫描的隧道掌子面变形报警方法,包括以下步骤:The present invention will now be further described in conjunction with the accompanying drawings and specific embodiments. As shown in FIG. 1 , the tunnel face deformation alarm method based on mobile three-dimensional laser scanning according to an embodiment of the present invention includes the following steps:

步骤S101,选择所需监控的掌子面,并利用棱镜和全站仪统一坐标;Step S101, select the face to be monitored, and use the prism and the total station to unify the coordinates;

其中,所述步骤S101还包括以下步骤:Wherein, the step S101 also includes the following steps:

利用所述全站仪和所述棱镜控制所述掌子面的初始坐标,即利用所述棱镜完成点云的定向定位,使点云坐标与实际坐标相统一。The initial coordinates of the tunnel face are controlled by the total station and the prism, that is, the orientation and positioning of the point cloud is completed by using the prism, so that the coordinates of the point cloud are unified with the actual coordinates.

步骤S102,安装预先备置的移动式轨道小车,并将三维激光扫描仪固定于所述移动式轨道小车上;Step S102, installing the pre-prepared mobile rail trolley, and fixing the 3D laser scanner on the mobile rail trolley;

其中,所述步骤S102还包括以下步骤:Wherein, the step S102 also includes the following steps:

当隧道放炮结束即初步出渣后在距离所述掌子面10-50m之间安装10m的简易移动式轨道小车,并将所述三维激光扫描仪安装在所述移动式轨道小车上。When the blasting of the tunnel is completed and the slag is initially discharged, a simple mobile rail car with a distance of 10-50 m from the tunnel face is installed, and the three-dimensional laser scanner is installed on the mobile rail car.

步骤S103,确定所述掌子面监控点,并利用所述三维激光扫描仪获取的点云数据;Step S103, determining the monitoring points of the face, and using the point cloud data obtained by the 3D laser scanner;

其中所述步骤S103还包括以下步骤:Wherein said step S103 also includes the following steps:

在数据采集过程中,当放炮和初步处理残渣后,根据隧道围岩等级和现场施工方案在所述掌子面上布置多个监控点,并利用所述全站仪配合所述三维激光扫描议建立统一的坐标系;In the process of data collection, after blasting and preliminary treatment of residues, multiple monitoring points are arranged on the tunnel face according to the grade of the surrounding rock of the tunnel and the site construction plan, and the total station is used to cooperate with the three-dimensional laser scanning Establish a unified coordinate system;

保证每一激光扫描测站之间设立至少三个公共的工作基点,并用所述三维激光扫描仪获取每一所述激光扫描测站的工作基点坐标以及隧道点云。Ensure that at least three common working base points are established between each laser scanning station, and use the three-dimensional laser scanner to obtain the working base point coordinates and tunnel point cloud of each laser scanning station.

步骤S104,利用点云处理软件对获取的所述点云数据进行处理,并确定所述掌子面监控点在整个所述点云数据中所对应的位置;Step S104, using point cloud processing software to process the acquired point cloud data, and determine the corresponding position of the face monitoring point in the entire point cloud data;

其中,所述点云处理软件包括RealWorks Suryey、Imageware等专业的点云处理软件中的一种。Wherein, the point cloud processing software includes one of professional point cloud processing software such as RealWorks Suryey and Imageware.

点云数据处理具体包括以下步骤:Point cloud data processing specifically includes the following steps:

首先,利用所述点云处理软件对获取的所述点云数据进行去噪、配准、分割和合并处理;First, using the point cloud processing software to perform denoising, registration, segmentation and merging processing on the acquired point cloud data;

然后,利用所述点云处理软件对所述点云数据进行精简和排序;Then, utilize the point cloud processing software to streamline and sort the point cloud data;

最后,利用所述点云处理软件把所得的点云数据进行拼接,得到隧道掌子面整体的点云数据。Finally, use the point cloud processing software to splice the obtained point cloud data to obtain the point cloud data of the tunnel face as a whole.

步骤S105,依据所述点云数据获取所述掌子面监控点的变形值,同时在报警软件中设置预警阀值;Step S105, obtaining the deformation value of the monitoring point of the face face according to the point cloud data, and setting an early warning threshold in the alarm software;

其中,依据所述点云数据获取所述掌子面监控点的变形值,具体包括以下步骤:Wherein, obtaining the deformation value of the face monitoring point according to the point cloud data specifically includes the following steps:

根据所述掌子面监控点在整个所述点云数据中所对应的位置,得到各所述监控点在整体所述点云数据中所在的位置;Obtain the position of each of the monitoring points in the overall point cloud data according to the corresponding positions of the palm face monitoring points in the entire point cloud data;

从整体所述点云数据中以所述监控点为中心提取一定范围的点云数据,对提取的所述点云数据进行正态分布拟合,即可得到所述掌子面各监控点周围岩土变形破坏情况。From the overall point cloud data, a certain range of point cloud data is extracted with the monitoring point as the center, and the extracted point cloud data is fitted with a normal distribution to obtain the surrounding area of each monitoring point on the face of the tunnel. Deformation and damage of rock and soil.

步骤S106,将所述掌子面的岩土变形值与所述预警阀值进行对比,并判断是否进行自动报警。Step S106, comparing the geotechnical deformation value of the tunnel face with the early warning threshold, and judging whether to issue an automatic alarm.

其中,所述步骤S106具体包括以下步骤:Wherein, the step S106 specifically includes the following steps:

当所述掌子面的岩土变形值超过所述预警阈值时进行自动语音报警;When the geotechnical deformation value of the tunnel face exceeds the early warning threshold, an automatic voice alarm is issued;

当所述掌子面的岩土变形值没有超过所述预警阈值时不进行自动语音报警。When the geotechnical deformation value of the tunnel face does not exceed the warning threshold, no automatic voice alarm is given.

综上所述,借助于本发明的上述技术方案,本发明可以实现对掌子面实时监控,并能使最大偏差在毫米级别,避免落石危及作业人员的安全。本发明以Z+F三维激光扫描仪为核心的隧道掌子面监控方案,不仅精度达到规范要求,且比平时工程师表面观察更准确,也更安全。本发明可以可应用于各种隧道的掌子面的监控,以保证隧道工作人员的安全。To sum up, with the help of the above-mentioned technical solution of the present invention, the present invention can realize real-time monitoring of the face of the tunnel, and can make the maximum deviation at the millimeter level, so as to prevent the safety of operators from falling rocks. The tunnel face monitoring scheme based on the Z+F three-dimensional laser scanner of the present invention not only meets the specification requirements in precision, but also is more accurate and safer than the usual surface observation by engineers. The present invention can be applicable to the monitoring of the face of various tunnels to ensure the safety of tunnel workers.

以所述仅是本发明的优选实施方式,应当指出:对于本技术领域的普通技术人员来说,在不脱离本发明原理的前提下,还可以做出若干改进和润饰,这些改进和润饰也应视为本发明的保护范围。It should be pointed out that those skilled in the art can make some improvements and modifications without departing from the principles of the present invention. It should be regarded as the protection scope of the present invention.

Claims (8)

1. The tunnel face deformation alarm method based on the mobile three-dimensional laser scanning is characterized by comprising the following steps of:
Selecting a tunnel face to be monitored, and unifying coordinates by using a prism and a total station;
Installing a mobile rail trolley prepared in advance, and fixing a three-dimensional laser scanner on the mobile rail trolley;
determining the monitoring points of the tunnel face, and utilizing point cloud data acquired by the three-dimensional laser scanner;
Processing the acquired point cloud data by using point cloud processing software, and determining the corresponding position of the palm surface monitoring point in the whole point cloud data;
acquiring a deformation value of the tunnel face monitoring point according to the point cloud data, and setting an early warning threshold value in alarm software;
and comparing the rock-soil deformation value of the tunnel face with the early warning threshold value, and judging whether to automatically alarm.
2. The tunnel face deformation alarm method based on mobile three-dimensional laser scanning as claimed in claim 1, characterized in that, in selecting the face to be monitored and using the prism and the total station in the same coordinate, the method further comprises the following steps:
and controlling the initial coordinates of the tunnel face by using the total station and the prism, namely finishing the directional positioning of the point cloud by using the prism so as to enable the point cloud coordinates to be consistent with the actual coordinates.
3. The tunnel face deformation alarm method based on the mobile three-dimensional laser scanning as claimed in claim 1, wherein the step of installing a mobile rail car and fixing the three-dimensional laser scanner on the mobile rail car further comprises the following steps:
and when the blasting of the tunnel is finished, namely after the initial slag tapping is finished, a simple movable rail trolley of 10m is arranged between the distance from the tunnel face to 10-50m, and the three-dimensional laser scanner is arranged on the movable rail trolley.
4. the tunnel face deformation alarm method based on the mobile three-dimensional laser scanning as claimed in claim 1, characterized in that the method further comprises the following steps in determining the monitoring points of the tunnel face and utilizing the point cloud data obtained by the three-dimensional laser scanner:
after blasting and primary treatment of residues, arranging a plurality of monitoring points on the tunnel face according to the grade of tunnel surrounding rocks and a field construction scheme, and establishing a uniform coordinate system by utilizing the total station in cooperation with the three-dimensional laser scanning instrument;
at least three public working base points are guaranteed to be arranged between each laser scanning measuring station, and the three-dimensional laser scanner is used for obtaining the coordinates of the working base points of each laser scanning measuring station and the point cloud of the tunnel.
5. the tunnel face deformation alarm method based on the mobile three-dimensional laser scanning as claimed in claim 1, wherein the point cloud processing software comprises one of professional point cloud processing software such as RealWorks Suryey and Imageware.
6. the tunnel face deformation alarm method based on the mobile three-dimensional laser scanning as claimed in claim 1, wherein the processing of the acquired point cloud data by using point cloud processing software specifically comprises the following steps:
Firstly, denoising, registering, segmenting and merging the acquired point cloud data by using the point cloud processing software;
then, the point cloud data is simplified and sorted by using the point cloud processing software;
and finally, splicing the obtained point cloud data by using the point cloud processing software to obtain the integral point cloud data of the tunnel face.
7. the tunnel face deformation alarm method based on the mobile three-dimensional laser scanning as claimed in claim 1, wherein the deformation value of the monitoring point of the tunnel face is obtained according to the point cloud data, and the method specifically comprises the following steps:
obtaining the position of each monitoring point in the whole point cloud data according to the corresponding position of the monitoring point of the tunnel face in the whole point cloud data;
and extracting point cloud data in a certain range from the whole point cloud data by taking the monitoring points as centers, and performing normal distribution fitting on the extracted point cloud data to obtain the deformation and damage conditions of the rock soil around each monitoring point of the tunnel face.
8. the tunnel face deformation alarm method based on the mobile three-dimensional laser scanning as claimed in claim 1, wherein the rock-soil deformation value of the face is compared with the early warning threshold value, and whether to perform automatic alarm is judged, specifically comprising the following steps:
When the rock-soil deformation value of the tunnel face exceeds the early warning threshold value, automatic voice alarm is carried out;
And when the rock-soil deformation value of the tunnel face does not exceed the early warning threshold value, automatic voice alarm is not performed.
CN201910916083.1A 2019-09-26 2019-09-26 Tunnel Face Deformation Alarm Method Based on Mobile 3D Laser Scanning Pending CN110542388A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910916083.1A CN110542388A (en) 2019-09-26 2019-09-26 Tunnel Face Deformation Alarm Method Based on Mobile 3D Laser Scanning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910916083.1A CN110542388A (en) 2019-09-26 2019-09-26 Tunnel Face Deformation Alarm Method Based on Mobile 3D Laser Scanning

Publications (1)

Publication Number Publication Date
CN110542388A true CN110542388A (en) 2019-12-06

Family

ID=68714541

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910916083.1A Pending CN110542388A (en) 2019-09-26 2019-09-26 Tunnel Face Deformation Alarm Method Based on Mobile 3D Laser Scanning

Country Status (1)

Country Link
CN (1) CN110542388A (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111595255A (en) * 2020-05-14 2020-08-28 南京航空航天大学 A kind of tunnel defect real-time prompting device and prompting method
CN111927558A (en) * 2020-10-13 2020-11-13 中国科学院武汉岩土力学研究所 Safety early warning method and device for full-face tunneling of dynamic water weak surrounding rock tunnel
CN113255726A (en) * 2021-04-22 2021-08-13 中国电建集团河北省电力勘测设计研究院有限公司 Automatic slope clustering monitoring method based on laser scanning
CN113267140A (en) * 2021-05-10 2021-08-17 贵州大学 Device and method for detecting overexcavation and underexcavation of tunnel
CN114059995A (en) * 2021-10-29 2022-02-18 河南和远机械科技有限公司 Intelligent control system of drill jumbo
CN114663357A (en) * 2022-03-01 2022-06-24 国能乌海能源信息技术有限公司 Roadway surface detection method and device, electronic equipment and computer readable medium
CN115690184A (en) * 2022-10-24 2023-02-03 西南交通大学 Tunnel face displacement measurement method based on three-dimensional laser scanning
CN115930800A (en) * 2023-02-21 2023-04-07 西南石油大学 A monitoring method of tunnel face displacement field based on 3D laser point cloud

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104792274A (en) * 2015-04-02 2015-07-22 同济大学 Method for measuring circular tunnel convergence deformation
CN106930784A (en) * 2017-03-08 2017-07-07 中交第二航务工程局有限公司 Tunnel monitoring method based on 3 D laser scanning
CN109443321A (en) * 2018-10-30 2019-03-08 中国人民解放军国防科技大学 A series-parallel camera network measurement method for monitoring large-scale structural deformation
CN109470206A (en) * 2018-12-18 2019-03-15 上海华测导航技术股份有限公司 Three-dimensional laser scanning system applied to tunnel survey
CN109470207A (en) * 2018-12-18 2019-03-15 上海华测导航技术股份有限公司 A kind of complete detection method for tunnel
CN109520439A (en) * 2018-10-18 2019-03-26 华南理工大学 A kind of bridge king-post three-dimensional laser scanner deformation monitoring method
CN109708615A (en) * 2018-12-20 2019-05-03 上海同岩土木工程科技股份有限公司 A kind of subway tunnel limit dynamic testing method based on laser scanning
CN109916323A (en) * 2019-03-07 2019-06-21 北京申信达成科技有限公司 A kind of method and device of tower ancient building deformation monitoring and analysis
CN110207608A (en) * 2019-07-03 2019-09-06 上海凌渡电子科技有限公司 A kind of subway tunnel deformation detecting method based on 3 D laser scanning

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104792274A (en) * 2015-04-02 2015-07-22 同济大学 Method for measuring circular tunnel convergence deformation
CN106930784A (en) * 2017-03-08 2017-07-07 中交第二航务工程局有限公司 Tunnel monitoring method based on 3 D laser scanning
CN109520439A (en) * 2018-10-18 2019-03-26 华南理工大学 A kind of bridge king-post three-dimensional laser scanner deformation monitoring method
CN109443321A (en) * 2018-10-30 2019-03-08 中国人民解放军国防科技大学 A series-parallel camera network measurement method for monitoring large-scale structural deformation
CN109470206A (en) * 2018-12-18 2019-03-15 上海华测导航技术股份有限公司 Three-dimensional laser scanning system applied to tunnel survey
CN109470207A (en) * 2018-12-18 2019-03-15 上海华测导航技术股份有限公司 A kind of complete detection method for tunnel
CN109708615A (en) * 2018-12-20 2019-05-03 上海同岩土木工程科技股份有限公司 A kind of subway tunnel limit dynamic testing method based on laser scanning
CN109916323A (en) * 2019-03-07 2019-06-21 北京申信达成科技有限公司 A kind of method and device of tower ancient building deformation monitoring and analysis
CN110207608A (en) * 2019-07-03 2019-09-06 上海凌渡电子科技有限公司 A kind of subway tunnel deformation detecting method based on 3 D laser scanning

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
虞伟家: "基于移动三维激光扫描的盾构隧道断面提取与应用", 《测绘通报》 *

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111595255A (en) * 2020-05-14 2020-08-28 南京航空航天大学 A kind of tunnel defect real-time prompting device and prompting method
CN111927558A (en) * 2020-10-13 2020-11-13 中国科学院武汉岩土力学研究所 Safety early warning method and device for full-face tunneling of dynamic water weak surrounding rock tunnel
CN111927558B (en) * 2020-10-13 2021-01-12 中国科学院武汉岩土力学研究所 Safety pre-warning method and device for full-section excavation of tunnels with weak surrounding rock with dynamic water
US11634987B2 (en) 2020-10-13 2023-04-25 Institute Of Rock And Soil Mechanics, Chinese Academy Of Sciences Safety early warning method and device for full-section tunneling of tunnel featuring dynamic water and weak surrounding rock
CN113255726A (en) * 2021-04-22 2021-08-13 中国电建集团河北省电力勘测设计研究院有限公司 Automatic slope clustering monitoring method based on laser scanning
CN113267140A (en) * 2021-05-10 2021-08-17 贵州大学 Device and method for detecting overexcavation and underexcavation of tunnel
CN114059995A (en) * 2021-10-29 2022-02-18 河南和远机械科技有限公司 Intelligent control system of drill jumbo
CN114663357A (en) * 2022-03-01 2022-06-24 国能乌海能源信息技术有限公司 Roadway surface detection method and device, electronic equipment and computer readable medium
CN115690184A (en) * 2022-10-24 2023-02-03 西南交通大学 Tunnel face displacement measurement method based on three-dimensional laser scanning
CN115690184B (en) * 2022-10-24 2024-02-06 西南交通大学 Tunnel face displacement measurement method based on three-dimensional laser scanning
CN115930800A (en) * 2023-02-21 2023-04-07 西南石油大学 A monitoring method of tunnel face displacement field based on 3D laser point cloud
CN115930800B (en) * 2023-02-21 2023-05-05 西南石油大学 A monitoring method of tunnel face displacement field based on 3D laser point cloud

Similar Documents

Publication Publication Date Title
CN110542388A (en) Tunnel Face Deformation Alarm Method Based on Mobile 3D Laser Scanning
CN108710732B (en) A method for evaluating and predicting wear of shield tools during service life
CN112945139B (en) Shield engineering auxiliary system combining three-dimensional scanning with BIM technology
CN102798412B (en) Method for evaluating construction quality of tunnel drilling and blasting based on three-dimensional laser scanning
CN101067375B (en) Tunnel wireless laser stakeout device
CN111191307B (en) Earthwork virtual construction method based on BIM+GIS technology
CN108090610A (en) Orbit construction system based on BIM technology
CN109358353B (en) Rapid pit-dividing lofting method for current collection circuit foundation
CN109492071B (en) Railway high-precision map data processing method and system
CN107037496A (en) On-site dynamic detection method for surface mine
CN110160463B (en) Subway tunnel out-of-roundness detection method based on static laser scanning
CN109470207A (en) A kind of complete detection method for tunnel
CN112282847A (en) Coal mine underground roadway deformation monitoring system and monitoring method thereof
CN112040395B (en) Cable tunnel internal and ground position co-location system and method
CN102620721A (en) Fine digital terrain model based road surveying method
CN112884647A (en) Embedded part construction positioning method based on BIM point cloud technology guidance
CN111612902A (en) Coal mine tunnel three-dimensional model construction method based on radar point cloud data
CN115127478A (en) Detection method of quality deviation of shield machine segment assembly based on laser scanning
CN113221221A (en) BIM technology-based method for positioning prestressed pipeline on precast beam
CN109470205A (en) It is a kind of for determining the measurement method of Tunnel Overbreak & Underbreak
CN119167471A (en) A BIM-based hoisting simulation construction method and system
CN116734757A (en) Tunnel surrounding rock deformation monitoring and early warning method based on unmanned aerial vehicle-mounted laser scanner
CN110672622A (en) A fast localization method for tunnel defects based on point cloud data and total station
CN107644119B (en) An automatic calculation method of half porosity based on 3D scanning point cloud
CN105651202A (en) Three-dimensional scanning method and device used for measuring volume of mine

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

Application publication date: 20191206

RJ01 Rejection of invention patent application after publication