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CN109736894A - A monitoring system, monitoring method and early warning method for surrounding rock disaster of coal mine roadway - Google Patents

A monitoring system, monitoring method and early warning method for surrounding rock disaster of coal mine roadway Download PDF

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Publication number
CN109736894A
CN109736894A CN201811425384.6A CN201811425384A CN109736894A CN 109736894 A CN109736894 A CN 109736894A CN 201811425384 A CN201811425384 A CN 201811425384A CN 109736894 A CN109736894 A CN 109736894A
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roadway
monitoring
time
deformation
surrounding rock
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CN109736894B (en
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徐剑坤
习丹阳
周蕊
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China University of Mining and Technology CUMT
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China University of Mining and Technology CUMT
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Abstract

一种用于煤矿巷道围岩灾害的监测系统、监测方法及预警方法在不影响巷道运输运行的情况下,通过无人机搭载双目相机对巷道内壁围岩进行图像采集,实获取巷道连续断面信息,基于双目视觉三维重构算法,求取巷道围岩点云的三维坐标,重构每次测量的巷道段中围岩的实景三维模型,然后再进行顺次拼接,得到整个待测巷道的实景三维模型,按照上述方法,对待测巷道进行多次测量,得到多次测量数据,将首次测量得到的巷道围岩位置信息作为初始值,其后每次测量的结果与第一次作比较,计算得到巷道变形量,实现了自动实时对巷道变形的监测,自动化程度高。本发明设有各监测指标的安全阈值,一旦检测到各监测指标超过的安全阈值,则启动报警系统,及时预警。

A monitoring system, a monitoring method and an early warning method for surrounding rock disasters in a coal mine roadway. Under the condition that the roadway transportation operation is not affected, an unmanned aerial vehicle is equipped with a binocular camera to collect images of the surrounding rock on the inner wall of the roadway, so as to obtain the continuous section of the roadway. information, based on the binocular vision 3D reconstruction algorithm, obtain the 3D coordinates of the roadway surrounding rock point cloud, reconstruct the real 3D model of the surrounding rock in the roadway section measured each time, and then splicing it in sequence to obtain the entire roadway to be tested. According to the above method, the roadway to be measured is measured multiple times to obtain multiple measurement data, and the position information of the surrounding rock of the roadway obtained by the first measurement is used as the initial value, and the results of each subsequent measurement are compared with the first time. , calculate the deformation of the roadway, and realize the automatic real-time monitoring of the roadway deformation, with a high degree of automation. The present invention is provided with safety thresholds for each monitoring index, and once it is detected that the safety thresholds exceeded by each monitoring index, an alarm system is activated to give an early warning in time.

Description

A kind of monitoring system, monitoring method and early warning for coal mine roadway country rock disaster Method
Technical field
The present invention relates to underworkings monitoring and warning control technology fields, and in particular to one kind is used for coal mine roadway country rock calamity Harmful monitoring system, monitoring method and method for early warning.
Background technique
Coal mine roadway is responsible for the tasks such as underground transportation, ventilation and drainage, is carried out according to real-time measuring data to coal mine roadway Three-dimensionalreconstruction, then the tunnel threedimensional model by reconstructing are compared with initial tunnel threedimensional model, to realize in real time Roadway deformation, and the purpose of early warning in time are monitored, and monitors roadway deformation and timely early warning, to realize mine safety production, mentioning High management efficiency provides important guarantee, while being also construction digital mine important link.
The data basis of tunnel three-dimensionalreconstruction is measured from tunnel, can be in tunnel according to mine development end measurement data Line, stringcourse are demarcated, and the space trend and distribution in tunnel are determined, in addition, to reconstruct tunnel threedimensional model, it is necessary to obtain true Real drift section data.
Existing tunnel section measurement method is usually directly to measure tunnel height, wide equidimension, then in conjunction with specific lane Road section configuration, applies formula and is calculated, and provides a variety of measurements and monitoring method in the prior art, specifically discloses following Several method:
1) entire drift section is divided into several triangular sections, by calculating the sum of all triangle areas come close Seemingly acquire entire drift section product.Or withdrawable ruler is rotated in tested tunnel section, obtain multiple groups length, angle number Right, according to formula approximate calculation drift section size, but this mode, due to being manual measurement, there are large errors.
2) by rotary laser measuring device, the range data under different rotary angle is obtained, it will by computer program Measurement data is converted to the space coordinate of each measuring point, so as to draw out the profile of drift section.This method can realize full lane The full face digital imagery of overall process, but measuring device is mounted on tunnel anchor cable/rod tail portion, and artificial dismounting is needed when moving survey station, Calamity source measures in serious tunnel, causes serious threat to the personal safety of staff.
3) the irregular working section three-dimensional fast Reconstruction Algorithms based on discrete point, can by underground space tunnel progress three-dimensional Depending on changing, obtaining drift section data in traveling by laser measuring device for measuring and calculating tunnel segment body product, but measuring device needs It is run on roadway floor or track, but influences tunnel transport when this mode measures again.
And the above method is first successively to be measured the discrete measuring point in multiple tunnels, then seek drift section by calculating Size, but influenced by factors such as construction error, roadway deformations, drift section and nonideal geometry, it is sought by calculating Drift section data and full-size(d) be inevitably present certain error, it is insufficient that there is also measuring device the degree of automation, Measurement process influences the problems such as tunnel transport.
Therefore, invent it is a kind of can obtain in real time tunnel continuous cross-section information and operation do not influence tunnel transport, tunnel become The technical issues of shape real-time monitoring and the method for early warning are current urgent need to resolve.
Summary of the invention
In view of the deficiencies of the prior art and coal mine roadway surrouding rock deformation has heterogeneity, continuity, paroxysmal spy Point, the present invention is based on machine vision techniques to monitor coal mine roadway deformation automatically, and is based on multi objective country rock disaster alarm criterion, A kind of monitoring system, monitoring method and method for early warning for coal mine roadway country rock disaster is provided, realizes the reality to roadway deformation When monitoring and early warning, to guarantee the safety in production of mine.
To achieve the goals above, the present invention provides a kind of monitoring system for coal mine roadway country rock disaster, including nothing Man-machine and its loading device, underground wireless communication network and computer workstation;
UAV flight's device includes control device, is mounted on inside unmanned plane, for according to the computer work received Make station signal, control unmanned plane starts or stops, and for the information according to the sensing device transmission received, adjustment unmanned plane flies Row posture, the line of flight and flying speed;It is carried out for presetting the every flight T distance controlling image capture module of unmanned plane Image Acquisition, and by acquired image data by underground wireless communication network real-time transmission to computer workstation, Computer workstation can be arranged on underground or ground according to the actual situation;
Sensing device is mounted on unmanned plane, including gyroscope, acceleration transducer, light stream sensor, supersonic sensing Device, each sensor is by collected information real-time transmission to control device;Gyroscope is for perceiving nobody in unmanned plane during flying The direction of motion of machine, acceleration transducer, for obtaining the acceleration information of unmanned plane in unmanned plane during flying, to calculate The moving distance of unmanned plane realizes the accurate positionin to unmanned plane by gyroscope and acceleration transducer;Light stream sensor is used In the posture and flying speed of acquisition unmanned plane;Ultrasonic sensor is for perceiving front obstacle information;
Image collecting device is mounted on unmanned aerial vehicle body, for back, bottom plate, Zuo Bangbi, right side country rock Carry out image information collecting;
Power supply unit is mounted on inside unmanned plane, for being unmanned plane, control device, sensing device, image collecting device Power supply is provided;
Computer workstation, for sending control signal to the control device of unmanned plane, for what is transmitted to control device Information is handled, and is shown on computer workstation.
A kind of monitoring method for coal mine roadway country rock disaster, the roadway surrounding rock that unmanned plane maiden flight measurement is obtained Outdoor scene threedimensional model in each monitoring point coordinate as initial value, the result measured every time thereafter is made comparisons with initial value, Roadway deformation amount is calculated, realizes the real-time monitoring to roadway deformation, specifically includes the following steps:
1) start unmanned plane, move towards it along tunnel from tunnel region to be measured, to terminal from starting point flight, and it is automatic Save the line of flight;
2) unmanned plane is measured since being taken off starting point, according to the line of flight of step (1), every flight T meters, is mounted in machine 4 groups of binocular cameras with it simultaneously once shoot tunnel inner wall country rock, while recording photo opporunity, obtain a tunnel Country rock image measurement data in section, and the data are passed through into wireless communication networks for the photo real-time transmission of shooting to computer work It stands;The image measurement data that computer workstation is shot according to binocular camera passes through binocular vision 3 D restructing algorithm, reconstruct The outdoor scene threedimensional model of country rock in the tunnel section of the secondary measurement, until completing the shooting measurement in tunnel region to be measured;
3) computer workstation sequentially splices the outdoor scene threedimensional model of country rock in each tunnel section, generates tunnel to be measured Outdoor scene threedimensional model;
4) it repeats step (2) to step (3) back and forth to measure tunnel to be measured, computer workstation real-time update The outdoor scene threedimensional model of roadway surrounding rock, while by tunnel cross-sectional area in country rock outdoor scene threedimensional model in the section of the tunnel of Real-time Reconstruction It is compared with the drift section area of maiden flight measurement, real-time drift section convergence ratio is obtained, by Real-time Reconstruction In the section of tunnel in country rock outdoor scene threedimensional model at the beginning of the monitoring point of the monitoring point three-dimensional coordinate of drift section and maiden flight measurement Initial value is compared, and obtains real-time deformation of the surrounding rock in tunnel amount, rate of deformation, wing deformation acceleration, is realized to the real-time of roadway deformation Monitoring.
A kind of method for early warning for coal mine roadway country rock disaster, is based on multi objective country rock disaster alarm criterion, and monitoring refers to Mark includes that drift section restrains ratio, deformation of the surrounding rock in tunnel amount, rate of deformation, wing deformation acceleration, and it is as follows to set secure threshold,
Deformation of the surrounding rock in tunnel amount secure threshold pushes up, the deflection secure threshold of bottom plate monitoring point is set as corresponding tunnel height The 3% of degree, left and right two help the deflection secure threshold of monitoring point to be set as the 3% of corresponding span length;
Rate of deformation secure threshold is set as corresponding lane for all monitoring points by deformation of the surrounding rock in tunnel rate secure threshold The 5% of country rock average deformation rate interior for 24 hours after the completion of road excavation and preliminary bracing;
Wing deformation acceleration secure threshold is set as lane for all monitoring points by deformation of the surrounding rock in tunnel rate of acceleration secure threshold The 50% of country rock maximum distortion rate of acceleration interior for 24 hours after the completion of road excavation and preliminary bracing;
Drift section restrains ratio secure threshold, and for all drift sections, drift section is restrained ratio secure threshold It is set as 5%;
Ratio is restrained according to the drift section of real-time update, deformation of the surrounding rock in tunnel amount, rate of deformation, wing deformation acceleration carry out Monitoring;
When above-mentioned any monitoring index is more than secure threshold, i.e. triggering country rock calamity forecast, and the position for prompting alert to occur It sets, does not alarm then when all indexs are less than secure threshold.
Compared with prior art, the present invention passes through UAV flight's binocular in the case where not influencing tunnel transport operation Camera carries out Image Acquisition to tunnel inner wall country rock, real to obtain tunnel continuous cross-section information, is calculated based on binocular vision 3 D reconstruct Method seeks the three-dimensional coordinate of roadway surrounding rock point cloud, reconstructs the outdoor scene threedimensional model of country rock in the tunnel section measured every time, then again Sequentially spliced, the outdoor scene threedimensional model for obtaining entire tunnel to be measured according to the method described above repeatedly surveys tunnel to be measured Amount, obtains multiple measurement data, using the roadway surrounding rock location information measured for the first time as initial value, measures every time thereafter As a result with make comparisons for the first time, roadway deformation amount is calculated, realizes automatic in real time to the monitoring of roadway deformation, automates journey Degree is high.
In addition, the present invention is equipped with the secure threshold of each monitoring index, once detect the safety threshold that each monitoring index is more than Value, then start alarm system, so that staff reminds in time, be effectively guaranteed the personal safety of mine staff, real Real-time monitoring roadway deformation, and the purpose of early warning in time are showed, have been provided for mine safety production, raising management efficiency important It ensures.
Detailed description of the invention
Fig. 1 is the electric functional block diagram of the present invention;
Fig. 2 is the tunnel section outdoor scene threedimensional model schematic diagram that one-shot measurement of the present invention obtains;
Fig. 3 is a certain drift section schematic diagram of the present invention;
Fig. 4 is a certain drift section monitoring point of the invention schematic diagram;
Fig. 5 is a certain drift section monitoring point specific location schematic diagram of the present invention;
Fig. 6 is a certain monitoring point deformation curve schematic diagram of the present invention;
Wherein, 1- Roof Monitor point, 2- bottom plate monitoring point, the left side monitoring point 3-, the right side monitoring point 4-.
Specific embodiment
The present invention will be further explained below with reference to the attached drawings.
As shown in Figure 1, a kind of DEFORMATION MONITORING SYSTEM for coal mine roadway, which is characterized in that including unmanned plane and its take Carry set, underground wireless communication network and computer workstation;
UAV flight's device includes control device, is mounted on inside unmanned plane, for according to the computer work received Make station signal, control unmanned plane starts or stops, and for the information according to the sensing device transmission received, adjustment unmanned plane flies Row posture, the line of flight and flying speed;It is carried out for presetting the every flight T distance controlling image capture module of unmanned plane Image Acquisition, and by acquired image data by underground wireless communication network real-time transmission to computer workstation, Computer workstation can be arranged on underground or ground according to the actual situation;
Sensing device is mounted on unmanned plane, including gyroscope, acceleration transducer, light stream sensor, supersonic sensing Device, each sensor is by collected information real-time transmission to control device;Gyroscope is for perceiving nobody in unmanned plane during flying The direction of motion of machine, acceleration transducer, for obtaining the acceleration information of unmanned plane in unmanned plane during flying, to calculate The moving distance of unmanned plane realizes the accurate positionin to unmanned plane by gyroscope and acceleration transducer;Light stream sensor is used In the posture and flying speed of acquisition unmanned plane;Ultrasonic sensor is for perceiving front obstacle information;
Image collecting device, including 4 groups of binocular cameras, every group of binocular camera are made of two explosion-proof high definition industrial cameras, Image information collecting is carried out for the country rock to back, bottom plate, Zuo Bangbi, right side;4 groups of binocular cameras are separately mounted to nothing Man-machine body upper, for shooting back;Below unmanned aerial vehicle body, for shooting roadway floor;On the left of unmanned aerial vehicle body, For shooting the left side in tunnel;On the right side of unmanned aerial vehicle body, for shooting the right side in tunnel;
Lighting device is connected with control device, is made of, is separately mounted to 6 mine flameproof and intrinsic safety type LED light The front, rear, top, and bottom of fuselage, left and right 6 directions, for shining tunnel shooting area in image collecting device shooting It is bright;
Power supply unit is mounted on inside unmanned plane, is powered using mine explosion-suppression and matter safety type power, is used for as nobody Machine, control device, sensing device, image collecting device, lighting device provide power supply;
Computer workstation, for sending control signal to the control device of unmanned plane, for what is transmitted to control device Information is handled, and is shown on computer workstation.
Specific monitoring method is as follows:
In the outdoor scene threedimensional model for the roadway surrounding rock that unmanned plane maiden flight measurement is obtained the coordinate of each monitoring point as Initial value, the result measured every time thereafter are made comparisons with initial value, and roadway deformation amount is calculated, and are realized to roadway deformation Real-time monitoring, comprising the following steps:
1) computer workstation sends control of taking off to the control device inside unmanned plane by underground wireless communication network Signal, after control device receives signal, control unmanned plane takes off, and moves towards it along tunnel from tunnel region to be measured, from Initial point flies to terminal, and automatically saves the line of flight;
2) unmanned plane is measured since being taken off starting point, and according to the line of flight of step (1), every 5 meters of flight is mounted in machine 4 groups of binocular cameras with it simultaneously once shoot tunnel inner wall country rock, while recording photo opporunity, obtain a tunnel Country rock image measurement data in section, and the data are passed through into wireless communication networks for the photo real-time transmission of shooting to computer work It stands;The image measurement data that computer workstation is shot according to binocular camera passes through binocular vision 3 D restructing algorithm, reconstruct The outdoor scene threedimensional model of country rock in the tunnel section of the secondary measurement, until completing the shooting measurement in tunnel region to be measured;
Acquisition module 5 meters of control instructions once shot of every flight, control dress are preset in control device The information for receiving sensing device real-time transmission is set, the information such as speed, the position of the flight of unmanned plane is obtained, works as since starting point When the distance of unmanned flight is to 5 meters, control device control acquisition device shoots one section of roadway surrounding rock, and reconstructs the tunnel The outdoor scene threedimensional model of country rock in section, then 5 meters of the distance of flying, controller control acquisition device again and carry out to one section of roadway surrounding rock Shooting, and the outdoor scene threedimensional model of country rock in the section of the tunnel is reconstructed, and so on, until the shooting for completing tunnel region to be measured is surveyed Amount.
3) computer workstation sequentially splices the outdoor scene threedimensional model of country rock in each tunnel section, generates tunnel to be measured Outdoor scene threedimensional model, as shown in Figure 1;
4) it repeats step (2) to step (3) back and forth to measure tunnel to be measured, computer workstation real-time update The outdoor scene threedimensional model of roadway surrounding rock, while by tunnel cross-sectional area in country rock outdoor scene threedimensional model in the section of the tunnel of Real-time Reconstruction It is compared with the drift section area of maiden flight measurement, real-time drift section convergence ratio is obtained, by Real-time Reconstruction In the section of tunnel in country rock outdoor scene threedimensional model at the beginning of the monitoring point of the monitoring point three-dimensional coordinate of drift section and maiden flight measurement Initial value is compared, and obtains real-time deformation of the surrounding rock in tunnel amount, rate of deformation, wing deformation acceleration, is realized to the real-time of roadway deformation Monitoring.
Drift section and monitoring point are chosen by the following method:
A) from tunnel initial point position to be measured, a drift section is chosen every 1 meter of distance along tunnel trend and is monitored, I.e. perpendicular to the cross section of tunnel long axis, the distance at interval can also be selected according to the actual situation, when roadway deformation is serious, Spacing distance can choose smaller, and tunnel does not deform or slight deformation, and spacing distance can choose larger, this implementation It is 1 meter preferably by distance, as shown in Figure 3.
B) 4 monitoring points, and bottom plate, left side, the right side are chosen respectively in the back of drift section, bottom plate, left side, right side The spacing distance for helping each monitoring point is equal, amounts to 16 monitoring points, can also adjust monitoring section according to the actual situation certainly With the distribution of monitoring point, such as in the biggish region of country rock risk disaster, increase the number of monitoring point, as shown in Figure 4.
The present embodiment, as shown in figure 5, the distance every 1/5L chooses 1 monitoring point, lane according to the width L of roadway floor The monitoring point of road top plate and the monitoring location of roadway floor are corresponding;According to the height H of the left and right side in tunnel, selected every 1/5H 1 monitoring point is taken, the left and right monitoring location helped is corresponding.
It obtains and monitors a certain drift section convergence ratio data, it is disconnected to choose a certain tunnel according to the method for above-mentioned steps (a) Face, and according to the drift section of selection, the drift section contour line is extracted from the outdoor scene threedimensional model of tunnel, is calculated and is recorded this The drift section area value is subtracted the drift section area measured for the first time by drift section area, obtains drift section receipts The amount of holding back, then drift section convergence ratio data, each drift section are obtained divided by the cross-sectional area measured for the first time by amount of convergence On obtain 1 group of drift section convergence ratio data altogether, as unmanned plane moves in circles measurement, obtain a certain drift section receipts in real time Hold back ratio data.
A certain drift section rock deformation is obtained and monitors, after choosing monitoring point according to the method for step (b), monitoring prison The rock deformation of drift section where measuring point, the deflection include the amount of crushing, the bottom plate amount of heaving, left side shift-in amount, the right side Shift-in amount is helped, monitoring method is as follows:
The amount of crushing, a certain Roof Monitor point real time position compared with the distance that initial position moves down,
The bottom plate amount of heaving, a certain bottom plate monitoring point real time position compared with the distance that initial position moves up,
Left side shift-in amount, a certain left side monitoring point real time position compared with the distance moved right on initial position,
Right side shift-in amount, a certain right side monitoring point real time position compared with the distance moved left on initial position,
16 groups of deformation of the surrounding rock in tunnel amount monitoring data are obtained altogether in the drift section, if monitoring point is moved round about, Then deflection is negative;
As unmanned plane moves in circles measurement to roadway surrounding rock, the deformation data of each monitoring point of real-time update.
The surrouding rock deformation rate and rate of acceleration for obtaining and monitoring a certain drift section choose prison according to the method for step (b) After measuring point, the surrouding rock deformation rate and rate of acceleration of a certain drift section are monitored, the specific method is as follows:
Roof Monitor, according to the amount of crushing of real-time update data, on plane right-angle coordinate, when measuring when Between be abscissa, deflection is ordinate, and deflection here refers to the amount of crushing of selected a certain monitoring point, is drawn Deflection is asked first derivative to obtain the monitoring point time and crushed by the curve that the monitoring point deflection changes over time Deflection is asked second dervative to be crushed accordingly rate of acceleration the time by rate;
Illustrate as an example below, as shown in fig. 6, using a certain monitoring point deflection as ordinate, the time is abscissa, flat The corresponding coordinate points of deflection for monitoring obtain every time are marked in the rectangular coordinate system of face, then these points are sequentially connected with, and are become Shape --- time graph.Assuming that the curve of the amount of crushing S and time t, the functional relation between S and t is S=f (t), if t1 The amount of crushing at moment is S1, corresponding coordinate is (S1, t1), then the monitoring point is in t1The rate of crushing at momentCorresponding rate of acceleration of crushing
Bottom plate monitoring, according to the bottom plate amount of the heaving data of real-time update, on plane right-angle coordinate, when measuring when Between be abscissa, deflection is ordinate, and deflection here refers to the bottom plate amount of heaving of selected a certain monitoring point, is obtained Deflection is asked first derivative to obtain the bottom of the monitoring point time by the curve that the bottom plate amount of heaving of the monitoring point changes over time Small drum for marking time plays rate, asks second dervative to obtain corresponding bottom plate the time deflection and heaves rate of acceleration;
The monitoring of left side, according to the left side shift-in amount data of real-time update, on plane right-angle coordinate, when measuring when Between be abscissa, deflection is ordinate, and deflection here refers to the bottom plate amount of heaving of selected a certain monitoring point, is obtained Deflection is asked first derivative to obtain a left side for the monitoring point time by the curve that the left side shift-in amount of the monitoring point changes over time Deflection is asked second dervative to obtain corresponding left side the time and is moved into rate of acceleration by side shift-in rate;
The monitoring of right side, according to the right side shift-in amount data of real-time update, on plane right-angle coordinate, when measuring when Between be abscissa, deflection is ordinate, and deflection here refers to the right side shift-in amount of selected a certain monitoring point, is obtained Deflection is asked first derivative to obtain the right side of the monitoring point time by the curve that the right side shift-in amount of the monitoring point changes over time Deflection is asked second dervative to obtain corresponding right side the time and is moved into rate of acceleration by side shift-in rate;
16 groups of rates of deformation and rate of acceleration data, i.e., the rate of deformation (top of 16 monitoring points are obtained altogether in 1 drift section Plate fall rate, bottom plate heave rate, left side shift-in rate, right side shift-in rate) and wing deformation acceleration (acceleration of crushing Rate, bottom plate heave rate of acceleration, left side shift-in rate of acceleration, right side shift-in rate of acceleration) measured data, according to surrouding rock deformation rate and acceleration Rate judges surrouding rock deformation situation;
As unmanned plane moves in circles measurement to roadway surrounding rock, the rate of deformation and rate of acceleration of each monitoring point of real-time update Data.
Staff restrains ratio, roadway deformation amount, rate of deformation, deformation by the drift section of above-mentioned real-time update The case where rate of acceleration, comprehensive descision deformation of the surrounding rock in tunnel, to recognize the deformation in entire tunnel.
To realize full-automatic early warning analysis, the present invention also provides a kind of coal mine roadway country rock disaster alarm methods, are not necessarily to Artificial observation judgement, system can judge automatically deformation of the surrounding rock in tunnel situation, and carry out early warning in time, and the specific method is as follows:
Based on multi objective country rock disaster alarm criterion, the monitoring index being related to includes drift section convergence ratio, and tunnel is enclosed Rock deflection, rate of deformation, wing deformation acceleration preset the secure threshold of each monitoring index in computer workstation:
Deformation of the surrounding rock in tunnel amount secure threshold pushes up, the deflection secure threshold of bottom plate monitoring point is set as corresponding tunnel height The 3% of degree, left and right two help the deflection secure threshold of monitoring point to be set as the 3% of corresponding span length;
Rate of deformation secure threshold is set as corresponding lane for all monitoring points by deformation of the surrounding rock in tunnel rate secure threshold The 5% of country rock average deformation rate interior for 24 hours after the completion of road excavation and preliminary bracing;
Wing deformation acceleration secure threshold is set as lane for all monitoring points by deformation of the surrounding rock in tunnel rate of acceleration secure threshold The 50% of country rock maximum distortion rate of acceleration interior for 24 hours after the completion of road excavation and preliminary bracing;
Drift section restrains ratio secure threshold, and for all drift sections, drift section is restrained ratio secure threshold It is set as 5%;
Ratio is restrained according to the drift section of real-time update, deformation of the surrounding rock in tunnel amount, rate of deformation, wing deformation acceleration carry out Monitoring;
When above-mentioned any index is more than secure threshold, computer workstation will provide rock calamity forecast information, and prompt It does not alarm then when all indexs are less than secure threshold convenient for quickly taking control measures the position that alert occurs.Certainly Warning device can be increased, be connected with computer workstation, once monitoring index is more than the secure threshold of setting, computer operation It stands and control warning device is alarmed, to remind staff in time, monitoring index is abnormal.
The danger classes of country rock disaster alarm is set as 1-4 grades by the present invention, is respectively represented while being more than secure threshold Index number, if in monitoring index, rate of deformation is more than secure threshold, remaining index is less than secure threshold, then country rock disaster The danger classes of early warning is shown as 1 grade, rate of deformation and wing deformation acceleration are more than simultaneously secure threshold, then country rock disaster alarm Danger classes is shown as 2 grades, and rank is higher, indicates that calamity source is higher.

Claims (10)

1.一种用于煤矿巷道围岩灾害的监测系统,其特征在于,包括无人机及其搭载装置、井下无线通讯网络和计算机工作站;1. a monitoring system for surrounding rock disaster of coal mine roadway, is characterized in that, comprises unmanned aerial vehicle and its carrying device, underground wireless communication network and computer workstation; 无人机搭载装置包括UAV mounts include 控制装置,安装在无人机内部,用于根据接收到的计算机工作站信号,控制无人机启动或停止,用于根据接收到的传感装置传送的信息,调整无人机飞行姿态、飞行航线以及飞行速度;用于预先设定无人机每飞行T距离控制图像采集模块进行一次图像采集,并将采集到的图像数据通过井下无线通讯网络实时传送至计算机工作站,计算机工作站可以根据实际情况,设置在井下或地面;The control device, installed inside the drone, is used to control the drone to start or stop according to the received computer workstation signal, and to adjust the flight attitude and flight route of the drone according to the information transmitted by the received sensor device. and flight speed; it is used to pre-set the UAV to control the image acquisition module for one image acquisition per flight T distance, and transmit the acquired image data to the computer workstation in real time through the underground wireless communication network. The computer workstation can, according to the actual situation, Set up underground or on the ground; 传感装置,安装在无人机上,包括陀螺仪、加速度传感器、光流传感器、超声波传感器;Sensing device, installed on the UAV, including gyroscope, acceleration sensor, optical flow sensor, ultrasonic sensor; 图像采集装置,安装在无人机机身上,用于对巷道顶板、底板、左帮壁、右帮的围岩进行图像信息采集;The image acquisition device is installed on the fuselage of the UAV, and is used to collect image information on the roadway roof, bottom plate, left side wall, and right side surrounding rock; 供电装置,安装在无人机内部,用于为无人机、控制装置、传感装置、图像采集装置提供电源;The power supply device is installed inside the drone to provide power for the drone, control device, sensing device, and image acquisition device; 计算机工作站,用于向无人机的控制装置发送控制信号,用于对控制装置传送的信息进行处理,在计算机工作站上显示出来。The computer workstation is used to send control signals to the control device of the UAV, to process the information transmitted by the control device, and display it on the computer workstation. 2.根据权利要求1所述的一种用于煤矿巷道围岩灾害的监测系统,其特征在于,图像采集装置包括4组双目相机,每组双目相机由两台防爆高清工业相机组成,4组双目相机分别安装在无人机机身上方,用于拍摄巷道顶板;无人机机身下方,用于拍摄巷道底板;无人机机身左侧,用于拍摄巷道左帮;无人机机身右侧,用于拍摄巷道右帮;2. A monitoring system for surrounding rock disasters in coal mine roadways according to claim 1, wherein the image acquisition device comprises 4 groups of binocular cameras, and each group of binocular cameras is composed of two explosion-proof high-definition industrial cameras, 4 sets of binocular cameras are installed on the top of the drone body to shoot the roof of the roadway; below the drone body, used to shoot the bottom plate of the roadway; the left side of the drone body is used to shoot the left side of the roadway; none The right side of the man-machine fuselage is used to shoot the right side of the roadway; 还包括照明装置,与控制装置相连,由6个矿用隔爆兼本质安全型LED灯组成,分别安装在机身的前、后、上、下、左、右6个方向,用于在图像采集装置拍摄时,对巷道拍摄区域进行照明;It also includes a lighting device, which is connected to the control device and consists of 6 mine-used explosion-proof and intrinsically safe LED lights, which are respectively installed in the front, rear, up, down, left and right directions of the fuselage. When the acquisition device is shooting, the shooting area of the roadway is illuminated; 供电装置采用矿用隔爆兼本质安全型电源供电。The power supply device adopts mine explosion-proof and intrinsically safe power supply. 3.一种用于煤矿巷道围岩灾害的监测方法,其特征在于,将无人机首次飞行测量得到的巷道围岩的实景三维模型中各监测点的坐标作为初始值,其后每次测量的结果均与初始值作比较,计算得到巷道变形量,实现对巷道变形的实时监测,具体包括以下步骤:3. A monitoring method for surrounding rock disaster of coal mine roadway, characterized in that the coordinates of each monitoring point in the real three-dimensional model of the roadway surrounding rock obtained by the first flight measurement of an unmanned aerial vehicle are used as initial values, and each measurement thereafter is used as an initial value. The results are compared with the initial value, and the deformation of the roadway is calculated to realize the real-time monitoring of the deformation of the roadway, which specifically includes the following steps: 1)启动无人机,使其从待测巷道区域沿着巷道走向,从起始点飞行至终点,并自动保存飞行航线;1) Start the drone, make it go along the roadway from the roadway area to be tested, fly from the starting point to the end point, and automatically save the flight route; 2)无人机从起始点起飞开始测量,按照步骤(1)的飞行航线,每飞行T米,搭载在机身上的4组双目相机同时对巷道内壁围岩进行一次拍摄,同时记录拍照时间,得到一个巷道段中围岩图像测量数据,并将该数据通过无线通讯网络将拍摄的照片实时传送至计算机工作站;计算机工作站根据双目相机拍摄的图像测量数据,通过双目视觉三维重构算法,重构该次测量的巷道段中围岩的实景三维模型,直至完成待测巷道区域的拍摄测量;2) The drone takes off from the starting point and starts to measure. According to the flight route of step (1), every T meter of flight, the 4 sets of binocular cameras mounted on the fuselage simultaneously take a picture of the surrounding rock on the inner wall of the roadway, and record and take pictures at the same time. time, obtain the image measurement data of the surrounding rock in a roadway section, and transmit the data to the computer workstation in real time through the wireless communication network; the computer workstation based on the image measurement data captured by the binocular camera, through binocular vision 3D reconstruction Algorithm to reconstruct the real 3D model of the surrounding rock in the roadway section measured this time, until the photographing measurement of the roadway area to be measured is completed; 3)计算机工作站将每个巷道段中围岩的实景三维模型顺次拼接,生成待测巷道的实景三维模型;3) The computer workstation splices the real 3D models of surrounding rocks in each roadway section in sequence to generate the real 3D model of the roadway to be tested; 4)重复执行步骤(2)至步骤(3)对待测巷道进行往复测量,计算机工作站实时更新巷道围岩的实景三维模型,同时将实时重构的巷道段中围岩实景三维模型中巷道断面面积与首次飞行测量的该巷道断面面积进行比较,得到实时巷道断面收敛比例,将实时重构的巷道段中围岩实景三维模型中巷道断面的监测点三维坐标与首次飞行测量的该监测点初始值进行比较,得到实时巷道围岩变形量、变形速率、变形加速率,实现对巷道变形的实时监测。4) Repeat steps (2) to (3) for reciprocating measurement of the roadway to be measured, and the computer workstation updates the real 3D model of the surrounding rock in the roadway in real time, and at the same time, the real-time reconstruction of the roadway section in the real 3D model of the surrounding rock in the roadway section area Compare with the section area of the roadway measured by the first flight to obtain the real-time roadway cross-section convergence ratio, and compare the three-dimensional coordinates of the monitoring point of the roadway section in the real-time three-dimensional model of the surrounding rock in the roadway section with the initial value of the monitoring point measured on the first flight. By comparison, the deformation amount, deformation rate and deformation acceleration rate of the surrounding rock of the roadway can be obtained in real time, so as to realize the real-time monitoring of the roadway deformation. 4.根据权利要求3所述的一种用于煤矿巷道围岩灾害的监测方法,其特征在于,巷道断面及该断面上监测点的选取方法包括以下步骤:4. a kind of monitoring method for surrounding rock disaster of coal mine roadway according to claim 3 is characterized in that, the selection method of roadway section and monitoring point on this section comprises the following steps: a)从待测巷道起始点位置,沿巷道走向每隔1m距离选取一个巷道断面进行监测;a) From the starting point of the roadway to be measured, select a roadway section every 1m along the direction of the roadway for monitoring; b)在巷道断面的巷道顶板、底板、左帮、右帮分别选取4个监测点,共计16个点作为监测点。b) 4 monitoring points are selected respectively on the roadway roof, bottom plate, left side and right side of the roadway section, totaling 16 points as monitoring points. 5.根据权利要求4所述的一种用于煤矿巷道围岩灾害的监测方法,其特征在于,根据巷道底板的宽度L,每隔1/5L的距离选取1个监测点,巷道顶板的监测点与巷道底板的监测点位置相对应;5. a kind of monitoring method for coal mine roadway surrounding rock disaster according to claim 4, is characterized in that, according to the width L of roadway floor, select 1 monitoring point every 1/5L of distance, the monitoring of roadway roof The point corresponds to the monitoring point position of the roadway floor; 根据巷道左帮的高度H,每隔1/5H选取1个监测点,右帮上的监测点位置与左帮上的监测点位置相对应。According to the height H of the left side of the roadway, one monitoring point is selected every 1/5H, and the position of the monitoring point on the right side corresponds to the position of the monitoring point on the left side. 6.根据权利要求4所述的一种用于煤矿巷道围岩灾害的监测方法,其特征在于,通过以下方法获取并监测巷道断面收敛比例:6. a kind of monitoring method for coal mine roadway surrounding rock disaster according to claim 4, is characterized in that, obtains and monitors the roadway section convergence ratio by the following method: 按照步骤(a)的方法选取某一巷道断面,并根据选取的巷道断面,从巷道实景三维模型中提取该巷道断面轮廓线,计算并记录该巷道断面面积,将该巷道断面面积值减去首次测量的该巷道断面面积,得到该巷道断面收敛量,再通过收敛量除以首次测量的断面面积,得到该巷道断面的巷道断面收敛比例数据,随着无人机循环往复测量,实时得到某一巷道断面收敛比例数据。According to the method of step (a), select a certain roadway section, and according to the selected roadway section, extract the roadway cross-section outline from the roadway real three-dimensional model, calculate and record the roadway cross-sectional area, and subtract the first time from the roadway cross-sectional area value. By measuring the cross-sectional area of the roadway, the convergence amount of the roadway cross-section is obtained, and then the convergence ratio data of the roadway cross-section is obtained by dividing the convergence amount by the cross-sectional area measured for the first time. Roadway section convergence ratio data. 7.根据权利要求4所述的一种用于煤矿巷道围岩灾害的监测方法,其特征在于,按照步骤(b)的方法选取监测点后,监测监测点所在巷道断面的围岩变形量,并通过以下方法获取巷道围岩变形量,该变形量包括顶板下沉量、底板鼓起量、左帮移进量、右帮移进量,具体方法如下:7. a kind of monitoring method for coal mine roadway surrounding rock disaster according to claim 4, is characterized in that, after selecting monitoring point according to the method of step (b), monitoring the surrounding rock deformation amount of roadway section where monitoring point is located, The deformation amount of the surrounding rock of the roadway is obtained by the following methods. The deformation amount includes the subsidence amount of the roof, the bulging amount of the bottom plate, the moving amount of the left side and the moving amount of the right side. The specific methods are as follows: 顶板下沉量,某一顶板监测点实时位置较初始位置向下移动的距离,The subsidence of the roof, the distance that the real-time position of a roof monitoring point moves down from the initial position, 底板鼓起量,某一底板监测点实时位置较初始位置向上移动的距离,The bulge of the bottom plate, the distance that the real-time position of a monitoring point of a bottom plate moves upward from the initial position, 左帮移进量,某一左帮监测点实时位置较初始位置上右移动的距离,The amount of left-hand movement, the real-time position of a left-hand monitoring point moves to the right compared to the initial position, 右帮移进量,某一右帮监测点实时位置较初始位置上左移动的距离,The moving amount of the right side, the distance that the real-time position of a right side monitoring point moves to the left from the initial position, 若监测点向相反方向移动,则变形量为负数;If the monitoring point moves in the opposite direction, the deformation amount is negative; 随着无人机对巷道围岩循环往复测量,实时更新各个监测点的变形量数据。With the cyclic and reciprocating measurement of the surrounding rock of the roadway by the drone, the deformation data of each monitoring point is updated in real time. 8.根据权利要求4所述的一种用于煤矿巷道的变形监测方法,其特征在于,按照步骤(b)的方法选取监测点后,获取并监测某一巷道断面的围岩变形速率和加速率,具体方法如下:8. a kind of deformation monitoring method for coal mine roadway according to claim 4, is characterized in that, after selecting monitoring point according to the method of step (b), obtain and monitor the surrounding rock deformation rate and acceleration of a certain roadway section rate, as follows: 顶板监测,根据实时更新的顶板下沉量数据,在平面直角坐标系上,以测量时的时间为横坐标,变形量为纵坐标,绘制某一监测点顶板下沉量随时间变化的曲线,将变形量对时间求一阶导数得到该监测点的顶板下沉速率,将变形量对时间求二阶导数得到相应的顶板下沉加速率;Roof monitoring, according to the real-time updated roof subsidence data, on the plane Cartesian coordinate system, taking the measurement time as the abscissa and the deformation as the ordinate, draw a curve of the roof subsidence at a monitoring point changing with time, The first derivative of the deformation amount with respect to time is obtained to obtain the roof subsidence rate of the monitoring point, and the second derivative of the deformation amount with respect to time is obtained to obtain the corresponding roof subsidence acceleration rate; 底板监测,根据实时更新的底板鼓起量数据,在平面直角坐标系上,以测量时的时间为横坐标,变形量为纵坐标,得到某一监测点的底板鼓起量随时间变化的曲线,将变形量对时间求一阶导数得到该监测点的底板鼓起速率,将变形量对时间求二阶导数得到相应的底板鼓起加速率;Base plate monitoring, according to the real-time updated base plate bulging amount data, on the plane rectangular coordinate system, taking the measurement time as the abscissa and the deformation as the ordinate, to obtain the curve of the base plate bulging amount changing with time at a monitoring point , take the first derivative of the deformation amount with respect to time to obtain the bulging rate of the base plate at the monitoring point, and take the second derivative of the deformation amount with respect to time to obtain the corresponding bulging acceleration rate of the sole plate; 左帮监测,根据实时更新的左帮移进量数据,在平面直角坐标系上,以测量时的时间为横坐标,变形量为纵坐标,得到某一监测点的左帮移进量随时间变化的曲线,将变形量对时间求一阶导数得到该监测点的左帮移进速率,将变形量对时间求二阶导数得到相应的左帮移进加速率;Left side monitoring, according to the real-time updated left side movement data, on the plane rectangular coordinate system, taking the measurement time as the abscissa and the deformation as the ordinate, the left side movement of a monitoring point is obtained with time. Change the curve, take the first derivative of the deformation amount with respect to time to obtain the left-side movement rate of the monitoring point, and take the second-order derivative of the deformation amount with respect to time to obtain the corresponding left-side movement acceleration rate; 右帮监测,根据实时更新的右帮移进量数据,在平面直角坐标系上,以测量时的时间为横坐标,变形量为纵坐标,得到某一监测点的右帮移进量随时间变化的曲线,将变形量对时间求一阶导数得到该监测点的右帮移进速率,将变形量对时间求二阶导数得到相应的右帮移进加速率;Right side monitoring, according to the real-time updated right side movement data, on the plane rectangular coordinate system, taking the measurement time as the abscissa and the deformation as the ordinate, the right side movement of a monitoring point is obtained with time. The curve of the change, the first derivative of the deformation amount with respect to time is obtained to obtain the right side movement rate of the monitoring point, and the second order derivative of the deformation amount with respect to time is obtained to obtain the corresponding right side movement acceleration rate; 随着无人机对巷道围岩循环往复测量,实时更新各个监测点的变形速率和加速率数据。With the cyclic and reciprocating measurement of the surrounding rock of the roadway by the UAV, the deformation rate and acceleration rate data of each monitoring point are updated in real time. 9.一种用于煤矿巷道围岩灾害的预警方法,其特征在于,9. An early warning method for surrounding rock disaster of coal mine roadway, characterized in that, 基于多指标围岩灾害预警准则,监测指标包括巷道断面收敛比例,巷道围岩变形量、变形速率、变形加速率,并设定安全阈值如下:Based on the multi-index surrounding rock disaster early warning criteria, the monitoring indicators include the roadway section convergence ratio, the roadway surrounding rock deformation amount, deformation rate, and deformation acceleration rate, and the safety thresholds are set as follows: 巷道围岩变形量安全阈值,顶、底板监测点的变形量安全阈值设定为对应巷道高度的3%,左、右两帮监测点的变形量安全阈值设定为对应巷道宽度的3%;The safety threshold of the deformation of the surrounding rock of the roadway, the safety threshold of the deformation of the top and bottom monitoring points is set to 3% of the height of the corresponding roadway, and the safety threshold of the deformation of the left and right monitoring points is set to 3% of the corresponding roadway width; 巷道围岩变形速率安全阈值,对于所有监测点,将变形速率安全阈值设为对应巷道开挖及初期支护完成后24h内的围岩平均变形速率的5%;The safety threshold of the deformation rate of the surrounding rock of the roadway. For all monitoring points, the safety threshold of the deformation rate is set to 5% of the average deformation rate of the surrounding rock within 24 hours after the excavation of the corresponding roadway and the completion of the initial support; 巷道围岩变形加速率安全阈值,对于所有监测点,将变形加速率安全阈值设为巷道开挖及初期支护完成后24h内的围岩最大变形加速率的50%;The safety threshold of the deformation acceleration rate of the surrounding rock of the roadway. For all monitoring points, the safety threshold of the deformation acceleration rate is set as 50% of the maximum deformation acceleration rate of the surrounding rock within 24 hours after the completion of the roadway excavation and initial support; 巷道断面收敛比例安全阈值,对于所有巷道断面,将巷道断面收敛比例安全阈值设为5%;Roadway section convergence ratio safety threshold, for all roadway sections, set the roadway section convergence ratio safety threshold to 5%; 根据实时更新的巷道断面收敛比例,巷道围岩变形量、变形速率、变形加速率进行监控;According to the real-time updated tunnel section convergence ratio, the surrounding rock deformation, deformation rate and deformation acceleration rate of the tunnel are monitored; 上述任意监测指标超过安全阈值时,即触发围岩灾害报警,并提示警情出现的位置,所有指标均未超过安全阈值时则不报警。When any of the above monitoring indicators exceeds the safety threshold, the surrounding rock disaster alarm will be triggered, and the location of the alarm situation will be prompted. If all indicators do not exceed the safety threshold, the alarm will not be issued. 10.根据权利要求9所述的一种用于煤矿巷道围岩灾害的预警方法,其特征在于,设定围岩灾害预警的危险等级为1-4级,分别代表同时超过安全阈值的指标数目,级别越高,表示灾害风险越高。10. A kind of early warning method for coal mine roadway surrounding rock disaster according to claim 9, is characterized in that, setting the danger level of surrounding rock disaster early warning to be 1-4, respectively representing the number of indicators that exceed the safety threshold at the same time , the higher the level, the higher the disaster risk.
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CN115018709A (en) * 2022-06-27 2022-09-06 桂林电子科技大学 Image splicing rock wall reconstruction method
CN115218808A (en) * 2022-07-18 2022-10-21 太原理工大学 A method and system for judging and early warning of surrounding rock stability while excavating
CN116295074A (en) * 2023-02-13 2023-06-23 中国矿业大学 Device and method for monitoring deformation and failure of surrounding rock in coal mine roadway based on depth image
CN116994205A (en) * 2023-08-16 2023-11-03 华夏天信物联科技有限公司 Coal mine roadway live-action visualization method and system based on safety pre-warning
CN118774964A (en) * 2024-06-13 2024-10-15 煤炭科学研究总院有限公司 Coal mine monitoring data visualization method and device
CN119354278A (en) * 2024-12-24 2025-01-24 中煤科工开采研究院有限公司 Coal mine roadway surrounding rock stability monitoring and early warning method and device

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102564393A (en) * 2011-12-28 2012-07-11 北京工业大学 Method for monitoring and measuring full section of tunnel through three-dimensional laser
CN103046962A (en) * 2013-01-17 2013-04-17 四川省安全科学技术研究院 Mine end data monitoring device for coal mines
CN104792274A (en) * 2015-04-02 2015-07-22 同济大学 Method for measuring circular tunnel convergence deformation
CN106005383A (en) * 2016-06-02 2016-10-12 中国矿业大学(北京) Underground roadway high-precision three-dimensional model scanning device and method
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
CN107024182A (en) * 2017-03-16 2017-08-08 东华理工大学 A kind of shield tunnel deformation wireless monitor system and method
CN107063179A (en) * 2017-04-27 2017-08-18 上海同岩土木工程科技股份有限公司 A kind of movable tunnel cross section deformation detection means
CN207087855U (en) * 2017-08-17 2018-03-13 苏州中德睿博智能科技有限公司 Mobile robot platform for the modeling of coal mine roadway three-dimensional live
CN107843208A (en) * 2017-10-27 2018-03-27 北京矿冶研究总院 Mine roadway contour sensing method and system
CN108180856A (en) * 2018-01-30 2018-06-19 中国地质大学(武汉) A kind of tunnel deformation monitoring method, equipment and storage device based on laser data
EP3385500A1 (en) * 2017-04-05 2018-10-10 Sandvik Mining and Construction Oy Monitoring the profile of a tunnel during tunnel excavation
CN108657223A (en) * 2018-07-23 2018-10-16 中国安全生产科学研究院 A kind of urban track traffic automatic tour inspection system and tunnel deformation detecting method

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102564393A (en) * 2011-12-28 2012-07-11 北京工业大学 Method for monitoring and measuring full section of tunnel through three-dimensional laser
CN103046962A (en) * 2013-01-17 2013-04-17 四川省安全科学技术研究院 Mine end data monitoring device for coal mines
CN104792274A (en) * 2015-04-02 2015-07-22 同济大学 Method for measuring circular tunnel convergence deformation
CN106005383A (en) * 2016-06-02 2016-10-12 中国矿业大学(北京) Underground roadway high-precision three-dimensional model scanning device and method
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
CN107024182A (en) * 2017-03-16 2017-08-08 东华理工大学 A kind of shield tunnel deformation wireless monitor system and method
EP3385500A1 (en) * 2017-04-05 2018-10-10 Sandvik Mining and Construction Oy Monitoring the profile of a tunnel during tunnel excavation
CN107063179A (en) * 2017-04-27 2017-08-18 上海同岩土木工程科技股份有限公司 A kind of movable tunnel cross section deformation detection means
CN207087855U (en) * 2017-08-17 2018-03-13 苏州中德睿博智能科技有限公司 Mobile robot platform for the modeling of coal mine roadway three-dimensional live
CN107843208A (en) * 2017-10-27 2018-03-27 北京矿冶研究总院 Mine roadway contour sensing method and system
CN108180856A (en) * 2018-01-30 2018-06-19 中国地质大学(武汉) A kind of tunnel deformation monitoring method, equipment and storage device based on laser data
CN108657223A (en) * 2018-07-23 2018-10-16 中国安全生产科学研究院 A kind of urban track traffic automatic tour inspection system and tunnel deformation detecting method

Cited By (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110761839A (en) * 2019-07-12 2020-02-07 北京飞天行科技有限责任公司 Underground works convergence and vault warp intelligent monitoring system
CN111022124A (en) * 2019-12-31 2020-04-17 山东交通学院 Advanced early warning method for short-term and long-term deformation of bridge and tunnel engineering
CN111022124B (en) * 2019-12-31 2021-04-30 山东交通学院 An advance warning method for short and long-term deformation of bridge and tunnel engineering
CN111561914A (en) * 2020-04-30 2020-08-21 国网浙江省电力有限公司 Unmanned aerial vehicle for foundation pit detection based on RTK and detection method
CN111561914B (en) * 2020-04-30 2024-01-23 国网浙江省电力有限公司 Unmanned aerial vehicle for foundation pit detection based on RTK and detection method
CN112282847A (en) * 2020-09-17 2021-01-29 中煤(天津)地下工程智能研究院有限公司 Coal mine underground roadway deformation monitoring system and monitoring method thereof
CN112325788B (en) * 2020-11-06 2021-10-26 中国矿业大学 Tunnel inner wall deformation characteristic in-situ measurement device and method based on digital photography
CN112325788A (en) * 2020-11-06 2021-02-05 中国矿业大学 Tunnel inner wall deformation characteristic in-situ measurement device and method based on digital photography
CN112302722A (en) * 2020-11-17 2021-02-02 山西潞安环保能源开发股份有限公司常村煤矿 Coal mine roadway multi-azimuth stress and deformation wireless monitoring and early warning method and system
CN112302722B (en) * 2020-11-17 2024-05-28 山西潞安环保能源开发股份有限公司常村煤矿 Coal mine roadway multidirectional stress and deformation wireless monitoring and early warning method and system
CN112581725A (en) * 2020-12-08 2021-03-30 重庆邮电大学 Mountain landslide early warning monitoring system based on NBIOT and LoRa dual-mode communication
CN113420611B (en) * 2021-06-01 2024-03-29 煤炭科学研究总院有限公司 Roadway surrounding rock safety state detection method and device and electronic equipment
CN113420611A (en) * 2021-06-01 2021-09-21 煤炭科学研究总院 Method and device for detecting safety state of surrounding rock of roadway and electronic equipment
CN113487583A (en) * 2021-07-19 2021-10-08 安徽理工大学 Underground roadway surface deformation detection system based on 3D point cloud slice
CN113778133A (en) * 2021-08-06 2021-12-10 苏州荷清智能科技有限公司 Unmanned aerial vehicle for coal mine environment
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
CN115018709A (en) * 2022-06-27 2022-09-06 桂林电子科技大学 Image splicing rock wall reconstruction method
CN115218808A (en) * 2022-07-18 2022-10-21 太原理工大学 A method and system for judging and early warning of surrounding rock stability while excavating
CN115218808B (en) * 2022-07-18 2023-07-14 太原理工大学 Method and system for judging and early warning stability of surrounding rock along with excavation
CN116295074B (en) * 2023-02-13 2024-05-07 中国矿业大学 Coal mine tunnel surrounding rock deformation and damage monitoring device and method based on depth image
CN116295074A (en) * 2023-02-13 2023-06-23 中国矿业大学 Device and method for monitoring deformation and failure of surrounding rock in coal mine roadway based on depth image
CN116994205A (en) * 2023-08-16 2023-11-03 华夏天信物联科技有限公司 Coal mine roadway live-action visualization method and system based on safety pre-warning
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