CN111460643B - Coal face support supporting force distribution cloud image representation method, device and system - Google Patents

Coal face support supporting force distribution cloud image representation method, device and system Download PDF

Info

Publication number
CN111460643B
CN111460643B CN202010225516.1A CN202010225516A CN111460643B CN 111460643 B CN111460643 B CN 111460643B CN 202010225516 A CN202010225516 A CN 202010225516A CN 111460643 B CN111460643 B CN 111460643B
Authority
CN
China
Prior art keywords
data
working face
picture
record
time
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.)
Active
Application number
CN202010225516.1A
Other languages
Chinese (zh)
Other versions
CN111460643A (en
Inventor
张修峰
孔超
王超
郑志超
程义修
李阿涛
蔡先锋
肖大钧
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.)
Shandon Aitopo Software Development Co ltd
Yankuang Group Corp Ltd
Original Assignee
Shandon Aitopo Software Development Co ltd
Yankuang Group Corp Ltd
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 Shandon Aitopo Software Development Co ltd, Yankuang Group Corp Ltd filed Critical Shandon Aitopo Software Development Co ltd
Priority to CN202010225516.1A priority Critical patent/CN111460643B/en
Publication of CN111460643A publication Critical patent/CN111460643A/en
Application granted granted Critical
Publication of CN111460643B publication Critical patent/CN111460643B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0637Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Mining
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/20Finite element generation, e.g. wire-frame surface description, tesselation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating 3D models or images for computer graphics
    • G06T19/20Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts

Abstract

The embodiment of the invention discloses a coal face support supporting force distribution cloud image representation method, a device and a system, wherein the method comprises the following steps: acquiring original observation data of the support force of the bracket; drawing a bracket supporting force distribution cloud chart; and receiving man-machine interaction operation, adjusting a time line of the bracket supporting force distribution cloud picture, and dynamically deducing the change trend of the pressure of the top plate of the working face in a visual mode. According to the embodiment of the invention, the spatial layout of the working face support and the roof supporting pressure are combined, a support supporting force distribution cloud picture capable of reflecting the change relation of the advancing footage, the stoping speed and the support supporting force is drawn, the time line is adjusted in a man-machine interaction mode, the change trend of the working face roof pressure is dynamically deduced in a visual mode, the rule of roof periodical pressure, the step distance of pressure and the pressure degree of pressure can be observed along with the advancing process of the working face, a roof manager is assisted to predict mine pressure, the mine pressure is controlled to be displayed, and a decision analysis tool is provided for guaranteeing the safety production of a coal mine.

Description

Coal face support supporting force distribution cloud image representation method, device and system
Technical Field
The invention relates to the technical field of analysis of supporting force distribution of a coal face support, in particular to a method, a device and a system for representing cloud graphics of the supporting force distribution of the coal face support.
Background
Mine pressure change caused by coal mining is a main factor for causing disasters such as rock burst, coal and gas outburst and the like. The method for researching the pressure change rule of the stope mine has important significance for guaranteeing the safe production and high yield and high efficiency of the coal mine. The stope surrounding rock control research method comprises theoretical research, similar material simulation experiments, mine pressure numerical analysis, site mine pressure observation and the like. The technical threshold of theoretical research, analogue simulation test and numerical analysis is higher, and the mine pressure site observation and research method is to directly observe and record the mine pressure display in a production site by utilizing various mine pressure monitoring instruments, obtain the most direct and reliable surrounding rock stress parameter and displacement parameter, and the deformation of a stope and a bracket in a roadway, work resistance and other data, is simple, convenient and easy, can effectively monitor and control various mine safety accidents related to the mine pressure, and simultaneously provides reliable basis for the mine safety production management, accident prevention, theoretical research and the like.
The support force of the coal face support is one of important indexes of observation of the mine pressure of the coal face, and refers to the load born by the support in actual measurement, including the actual measurement of initial support force and the load of the support at the moment. The on-line monitoring and the historical data analysis of the support load can help to know the working face pressing law, the pressing step distance and the pressing strength, predict the mine pressure and control the development of the mine pressure, so that the production practice is guided, and the coal mining operation is ensured to be carried out smoothly.
The main process of safe production of the coal face is guided by observing the supporting force of the working face bracket: 1. collecting stope related data; 2. monitoring and recording the support force of the support by means of a meter; 3. the accumulated measured data and stope data are periodically arranged and analyzed, and the mine pressure is predicted and forecasted; 4. and verifying the correctness of the prediction conclusion by combining with the actual situation of the site, and preparing a targeted countermeasure to solve the problem of controlling the mine pressure of the site and prevent the accident of the roof of the coal mine. And the accuracy of the prediction conclusion of the mine pressure can be ensured by carrying out comprehensive analysis on the actual measurement data of the support force of the working face support.
At present, the analysis method of the observation data of the support force of the working face support mainly comprises an actual measurement data table method, a statistical table method and a statistical graph method. (1) actual measurement data table method: the actual observed data is embodied in tabular form. The method has the advantages that the actual monitoring value of the full-period instrument is fed back truly, so that the rejection rule of invalid values can be found conveniently, and reference data is provided for the value filtering rule of the visual value analysis tool; the disadvantage is that the data volume is large, the effective data occupation ratio is low, and unless a visual numerical analysis tool is used, the hidden working surface pressing rule in the data is difficult to find. (2) statistical method of support force of the bracket: firstly, invalid data are filtered according to a specific numerical value eliminating rule, and then the filtered data are subjected to summarization analysis, so that the initial supporting force, the circulation end resistance, the maximum working resistance, the average working resistance, the periodic variation and the like of each supporting bracket are deduced, and the working resistance information of all brackets in the working face is displayed in a data table form to assist a top plate manager or an expert analysis system to predict the working face pressing rule. The advantages are that: working resistance states of the brackets can be deduced periodically through data analysis experience or analysis tools, and the top plate pressure distribution condition of the whole working surface can be reflected by combining with the space layout information of the brackets; disadvantages: the conclusion obtained through regular statistics and summarization cannot express the change rule of the support force of the support along with time in the pushing and collecting cycle process, and the data due value cannot be fully extracted. (3) a statistical drawing method of the support force of the bracket: and filtering actual observed data to remove invalid data, and displaying the working face top plate pressing law in the modes of a line graph, a bracket working resistance distribution cloud graph and the like. At present, the line graph takes data sampling time or stope as an abscissa, and the observed value of the support force of the bracket as an ordinate, and has the advantages that: and the relationship between the cycle change rule of the pushing and collecting and the time change of the support force of the support is intuitively displayed in a graphical mode. Disadvantages: the line graph cannot express the spatial layout of the support and cannot intuitively display the pressure distribution of the whole top plate of the working face in a graphical mode. The coal mine roof manager absorbs the characteristic that the line diagram representation method can intuitively embody the change rule of the support force of the support, provides a support working resistance distribution cloud diagram method, takes the stope as the column attribute of the table, takes the support number as the row attribute of the table, and the table cells express the support working resistance in a color depth manner, and has the advantages that: the method can intuitively display the relationship between the cycle change rule of the pushing and collecting and the time change of the support supporting force of the support, and indirectly embody the spatial distribution condition of the pressure of the top plate of the working face; disadvantages: the cloud picture formed by the table composition method only reflects the relative position of the bracket, no thread space association relation exists between rows, and visual information misguidance is easily generated by people under the condition that the actual layout information of the bracket on site is not known. Meanwhile, color values in the table belong to statistical data formed by interpolation, the relation of the support force of the support along with the time cannot be expressed smoothly, and the aim of carrying out omnibearing analysis on the observation data of the support force of the support of the working face is not achieved.
Disclosure of Invention
The embodiment of the invention aims to provide a coal face support supporting force distribution cloud image representation method, a generation device and a roof pressure visualization analysis system, so as to realize the functions of omnibearing display of coal face support supporting force observation data and trend analysis of the roof pressure of a working face.
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides a method for representing a cloud chart of supporting force distribution of a coal face support, including:
acquiring original observation data of the support force of the bracket;
drawing a bracket supporting force distribution cloud image according to the original observed data, wherein the bracket supporting force distribution cloud image comprises a data grid taking picture pixels as acquisition points, and the horizontal direction, the vertical direction, the cell color and the color change of the grid are respectively mapped into working face propelling footage, bracket space layout, a supporting force observed value and an observed value change condition;
and receiving man-machine interaction operation, and adjusting a time line of the bracket supporting force distribution cloud picture according to the man-machine interaction operation so as to dynamically deduce the change trend of the pressure of the top plate of the working face in a visual mode.
As a specific embodiment of the present application, drawing a bracket supporting force distribution cloud chart according to the original observation data specifically includes:
extracting the original observation data according to the sampling time period, the starting point and the stopping point of the working face inclined roadway section and the grid data row and column number so as to obtain sampling data;
and drawing a bracket supporting force distribution cloud chart according to the sampling data.
Further, drawing the bracket supporting force distribution cloud image according to the sampling data, specifically including:
defining a working face local measurement coordinate system, a picture drawing coordinate system, a picture resolution and conversion relations between the working face trend roadway length and the inclined roadway length;
generating grid data corresponding to the data grid according to the sample data;
and drawing the bracket supporting force distribution cloud picture according to the grid data, the working face local measurement coordinate system, the picture drawing coordinate system, the picture resolution and the conversion relation between the working face trend roadway length and the inclined roadway length.
Further, the grid data includes a plurality of cell timing data columns, wherein the generation of the cell timing data columns includes the steps of:
according to the calculation rule of the time corresponding to the X-axis scale, calculating the time range of the cell time sequence data column;
setting bracket information contained in each row of roadway section, and acquiring a bracket set RS contained in a Y row where the cell time sequence data are located according to the bracket information;
dividing the time range of the cell time sequence data column into N time periods with an interval of Td;
for each separated time period, summarizing and solving all the bracket observation data in the time period in the bracket set RS to obtain a fused statistical value Vnew; the midpoint of the time period is the collection time Tnew of the statistic value, so that a collection interpolation data record Vtmp is obtained;
a new color attribute is added for a new record Vtmp, and the method comprises the following steps: the color bar 1 dimension array contains Cn colors, the value range [ Vmin, vmax ] of the interpolated data record Vtmp is collected, vmin represents the minimum value record, vmax represents the maximum value record, and the color bar array subscript i=floor ((Vnew-Vmin)/(Vmax-Vmin)) of the value Vnew map, wherein Floor: taking down the whole function y= [ x ] and taking the maximum integer not greater than the real number x as a function value;
acquiring an acquisition interpolation record according to the acquisition interpolation data record Vtmp and the color attribute;
and (5) forming a cell time sequence data column by collecting interpolation records of each time period.
In a second aspect, an embodiment of the present invention provides a coal face support supporting force distribution cloud image generating apparatus, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is configured to store a computer program, where the computer program includes program instructions, and where the processor is configured to invoke the program instructions to perform the method of the first aspect.
In a third aspect, an embodiment of the present invention provides a ceiling pressure visualization analysis system, including:
the data acquisition component is used for collecting original observation data of the supporting force of the working face bracket;
the data storage component is used for providing a unified data writing and inquiring interface for the data acquisition component and simultaneously storing the received data into the distributed database by utilizing a load balancing algorithm;
the data output assembly is used for extracting original observation data from the data storage assembly according to the sampling time period, the starting point of the roadway section of the working face and the number of grid data rows and columns, and drawing a bracket supporting force distribution cloud image through data statistics integration algorithm processing, wherein the bracket supporting force distribution cloud image comprises a data grid taking picture pixels as sampling points, and the horizontal direction, the vertical direction, the cell color and the color change of the grid are respectively mapped into working face propelling footage, bracket space layout, supporting force observation values and observation value change conditions;
and the display component is used for adjusting the time line of the bracket supporting force distribution cloud picture in a man-machine interaction mode so as to dynamically deduce the change trend of the pressure of the top plate of the working face in a visual mode.
As a specific embodiment of the present application, the data output component is specifically configured to:
extracting the original observation data according to the sampling time period, the starting point and the stopping point of the working face inclined roadway section and the grid data row and column number so as to obtain sampling data;
defining a working face local measurement coordinate system, a picture drawing coordinate system, a picture resolution and conversion relations between the working face trend roadway length and the inclined roadway length;
generating grid data corresponding to the data grid according to the sample data;
and drawing the bracket supporting force distribution cloud picture according to the grid data, the working face local measurement coordinate system, the picture drawing coordinate system, the picture resolution and the conversion relation between the working face trend roadway length and the inclined roadway length.
By implementing the embodiment of the invention, the spatial layout of the working face support and the roof supporting pressure are combined, a support supporting force distribution cloud image which can reflect the change relation of the advancing footage, the stoping speed and the support supporting force is drawn, the time line is adjusted in a man-machine interaction mode, the change trend of the roof pressure of the working face is dynamically deduced in a visual mode, the rule of roof periodical pressure, the step distance of pressure and the pressure of pressure can be observed along with the advancing process of the working face, a roof manager is assisted to predict the mine pressure, the mine pressure is controlled to be displayed, and a decision analysis tool is provided for guaranteeing the safety production of the coal mine.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
FIG. 1 is a schematic flow chart of a coal face support supporting force distribution cloud chart representation method provided by an embodiment of the invention;
FIG. 2 is a cloud illustration of the work surface support force distribution;
FIG. 3 is a schematic structural view of a coal face support supporting force distribution cloud image generating device provided by an embodiment of the invention;
fig. 4 is a schematic structural diagram of a top plate pressure visualization analysis system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to realize the functions of omnibearing display of the observation data of the support force of the coal face support and analysis of the trend of the pressure of the top plate of the working face, the embodiment of the invention provides a method for representing the distribution cloud image of the support force of the support of the coal face, and the distribution cloud image of the support force of the support of the working face is drawn through a visual analysis system of the pressure of the top plate, so that the trend of the pressure of the top plate is dynamically deduced. The specific technical scheme is as follows:
a cloud chart representation method for supporting force distribution of a coal face bracket draws bracket supporting force observation data into a picture to form a data grid taking picture pixels as acquisition points, wherein the horizontal direction, the vertical direction, the cell color and the color change of the grid are respectively mapped into working face propelling footage, bracket space layout, supporting force observation values and observation value change conditions. The top plate pressure visual analysis system collects the support force observation data of the support, dynamically draws a support force distribution cloud chart by taking time as a sequence, dynamically deduces the change trend of the top plate pressure of the working face in a visual mode by adjusting a time line in a man-machine interaction mode, and comprehensively displays information such as the hidden top plate period pressing law, the pressing step distance, the pressing strength and the like in the observation data.
Specifically, referring to fig. 1, the method for displaying a cloud chart of supporting force distribution of a coal face support according to an embodiment of the present invention includes the following steps:
s101, acquiring original observation data of the support force of the bracket.
S102, drawing a bracket supporting force distribution cloud chart according to the original observation data.
And S103, receiving man-machine interaction operation, and adjusting a time line of the bracket supporting force distribution cloud picture according to the man-machine interaction operation so as to dynamically deduce the change trend of the pressure of the top plate of the working face in a visual mode.
Further, step S102 includes:
s1021, extracting the original observation data according to the sampling time period, the starting and stopping points of the working face inclined roadway section and the grid data row and column number so as to obtain sampling data.
S1022, defining a conversion relation among a working face local measurement coordinate system, a picture drawing coordinate system, a picture resolution, a working face trend roadway length and a trend roadway length.
S1023, generating grid data corresponding to the data grid according to the sample data.
And S1024, drawing the bracket supporting force distribution cloud image according to the grid data, the working face local measurement coordinate system, the picture drawing coordinate system, the picture resolution and the conversion relation between the working face trend roadway length and the inclined roadway length. The cloud image of the supporting force distribution of the drawn working face bracket is shown in fig. 2.
The definition of a drawing coordinate system of a picture where the supporting force distribution cloud picture is located and a local measurement coordinate system of an observation working face is as follows:
1. the working face locally measures a coordinate system, wherein a first visual angle of an observer is positioned in a mining working face cutting roadway, a goaf is arranged at the back, the aspect facing the coal seam is the mining advancing direction, the roadway on the right hand side is an upper roadway, and the roadway on the left hand side is a lower roadway. Selecting a working surface pushing stoping point in an upper lane as a local measurement reference origin S (0, 0); the open working face where the observer is located is directed to the downward lane from the upper lane to be the direction in which the working face tends to be positive; along with the exploitation and the pushing of the working face, the length of the working face to be exploited is gradually reduced.
2. And in the picture drawing coordinate system, the lower right corner of the picture is taken as a drawing coordinate origin P (0, 0), the vertical upward direction of the drawing coordinate origin is taken as the positive y value direction, and the horizontal right direction of the drawing coordinate origin is taken as the positive x value direction. The x-axis represents the advancing length of the support, and the y-axis represents the cutting surface tunnels in which the supports are sequentially arranged along the inclined direction of the working surface.
It should be noted that, the resolutions of the pictures in the horizontal and vertical directions are different, so the supporting force distribution cloud picture is not similar to the rectangular surface scaled by the same ratio of the length and the width of the observation area of the working surface. The conversion formula between the picture resolution and the length of the working face trend roadway (namely the upper roadway and the lower roadway) and the inclined roadway (the open roadway) is as follows:
ph=ceil (GH/PRH), GH range [0, working face length ];
pw=ceil (GW/PRV), GW value range [0, working face trend long ].
Wherein, PH: the length of the picture (horizontal direction); PW (pseudo wire): picture width (vertical direction); GH: the length of the selected tunnel section in the tunnel is moved towards by the working face (because the data acquisition time points are in one-to-one correspondence with the push footage, the time period of data sampling is required to be appointed when a cloud picture is drawn, so that the starting and stopping points of the selected tunnel section can be calculated); GW: the working face is inclined to the length of the selected tunnel section in the tunnel; PRH: the resolution of the picture in the horizontal direction, namely the actual length of 1 pixel point of the picture represented on a working surface trend roadway is PRH meters; PRV: the resolution ratio of the picture in the vertical direction, namely the actual length of 1 pixel point in the picture represented on the inclined roadway of the working face is PRV meters; ceil: the upper rounding function y= [ x ] takes the maximum integer not smaller than the real number x as the function value.
Further, the mesh data is composed of RowRt rows, each row indicating a section of the roadway within the face-inclined roadway (open roadway), each row indicating the face-inclined measurement length GW meter in total. The roadway sections close to the upper roadway are the 1 st row of grid data, the roadway sections indicated by each row are arranged along the inclined roadway to the lower roadway, and the row serial numbers are sequentially increased. And arranging brackets contained in each row of roadway sections to form bracket sets RS contained in each row. The roadway segments indicated by the grid data lines are mapped to the y axis of the picture, and are arranged positively along the y axis from small to large according to the line sequence numbers. The conversion formula of the start and stop points of the grid data line on the y axis of the picture is as follows:
Row[Y]Y1=PW*(Y-1)/RowCt
Row[Y]Y2=PW*Y/RowCt
wherein Y: line number, value range [1, rowCt ]; row [ X ] Y1: the minimum value of the Y-axis numerical interval of the picture in the Y-line; row [ X ] Y2: the Y-th line is the maximum value of the Y-axis numerical interval of the picture. The resolution calculation formula in the vertical direction of the picture is prv=gw/PW, i.e., 1 pixel in the vertical direction of the picture represents PRV meter-prone lane length.
Further, the grid data consists of columns of ColRt, each column indicating a section of advance of the stent along the running direction of the working surface, each column totaling the running length GH meters of the working surface. The drawing of the bracket supporting force distribution cloud chart needs to collect bracket propulsion footage information which mainly comprises (time, trend length of the rest working surface). Since the advance information contains information such as time and remaining working face trend length, the remaining working face trend length at the time Ts can be estimated to become Lts and the remaining working face trend length at the time Te, and gh=lts-Lte can be estimated. The advancing length sections close to the cutting roadway are the 1 st column of grid data, the advancing length sections of all columns are arranged along the trend of the working face, and the line sequence numbers are sequentially increased. The advancing scale segments indicated by the grid data columns are mapped to the x-axis of the picture and are arranged positively along the x-axis from small to large according to the sequence numbers of the columns. The conversion formula of the start and stop points of the grid data on the x axis of the picture is as follows:
Col[X]X1=PH*(X-1)/ColRt
Col[X]X2=PH*X/ColRt
wherein, X: column number, value range [1, colCt ]; col [ X ] X1: the X column is the minimum value in the X-axis numerical interval of the picture; col [ X ] X2: the X-th column is the maximum value in the X-axis number interval of the picture. The resolution calculation formula in the horizontal direction of the picture is prh=gh/PH, namely 1 pixel point in the horizontal direction of the picture represents PRH meter advance. The X-axis of the picture is divided into ColRt+1 scale values, wherein the scale values are the start and stop points [ minimum value Col [ X ] X1, maximum value Col [ X ] X2] of the grid data column mapped to the X-axis numerical interval. The time corresponding to the x-axis origin (namely, the 1 st scale) is Ts, and the calculation rule of the trend length Lts of the residual working face corresponding to the 1 st scale is as follows:
when the time Ts exists in the footage history record, the footage record is obtained, and the trend length of the rest working surface contained in the record is Lts;
if there is no record in the length history record at the time Ts, two front and rear length records (time Tp before Ts, length Lp of trend of the remaining working surface, and time Tn after Ts, length Ln of trend of the remaining working surface) closest to the time Ts are found from the length history record, and lts=lp- (Lp-Ln)/(Ts-Tp)/(Tn-Tp).
The span of the grid data column in the x-axis is GH/ColRt, and the calculation rule of the trend length Lm of the residual working surface corresponding to the m-th scale on the x-axis is as follows: lm=lts+ (m-1) ×gh/ColRt, where m has a value in the range of [2, colrt+1]. The calculation rule of the time point Tm corresponding to the m-th scale is:
if a footage record with the running length Lm of the remaining working surface exists in the footage history record, the time contained in the record is Tm;
if there is no record of the remaining working face trend length Lm in the footage history record, two front and rear footage records (time Tp before Ts, remaining working face trend length Lp) and (time Tn after Ts, remaining working face trend length Ln) with the remaining working face trend length nearest to Lm are found from the footage history record, and tm=tp+ (Tn-Tp)/(Lp-Lm-Ln).
Preferably, the cell (X, Y) data of the mesh data is a time-series data list arranged in time, wherein X: grid line number; y: grid column number. The cell timing data sequence generation steps are as follows:
step 1: according to the calculation rule of the time corresponding to the X-axis scale, the starting time and the ending time of the data sequence of the cell (X, Y), namely the time range of the data sequence of the cell (X, Y), can be calculated;
step 2: by setting bracket information contained in each row of roadway sections, a bracket set RS can be obtained from Y rows where the unit cells (X, Y) are located;
step 3: the time range of the cell (X, Y) data sequence is divided into N time periods with an interval Td. And (3) summarizing and solving all the bracket observation data in the bracket set RS in each separated time period to obtain a fused statistical value Vnew. The summary calculation may use a data fusion algorithm such as a mean square value, an average value, a maximum value, an increment value, etc. The midpoint of the time period is the statistical value of the acquisition time Tnew, so that an acquisition interpolated data record Vtmp (time Tnew, value Vnew) is obtained.
Step 4: a new color attribute is added for the new record Vtmp, the method is as follows: the color bar 1 dimension array contains Cn colors, the value range of Vtmp values [ Vmin, vmax ], vmin represents the minimum value record, and Vmax represents the maximum value record, then the color bar array subscript i=floor of the value Vnew map ((Vnew-Vmin): (Cn-1)/(Vmax-Vmin)), where Floor: the function y= [ x ] is rounded down, and the largest integer not greater than the real number x is taken as the function value.
Preferably, the method for graphically representing the support force of the coal face support can draw the static snapshot of the support force distribution cloud picture at any moment by specifying the time period of data sampling, the starting and stopping point of the roadway section of the face, the row and column number of grid data and the like. And inverting the change trend of the working face roof pressure by the cloud picture through a color change form through the change time point.
Based on the same inventive concept, the embodiment of the invention provides a coal face support supporting force distribution cloud image generating device. As shown in fig. 3, the generating means may include: one or more processors 101, one or more input devices 102, one or more output devices 103, and a memory 104, the processors 101, input devices 102, output devices 103, and memory 104 being interconnected by a bus 105. The memory 104 is used for storing a computer program comprising program instructions, which the processor 101 is configured to invoke for performing the method of the above-described method embodiment part.
It should be appreciated that in embodiments of the present invention, the processor 101 may be a central processing unit (Central Processing Unit, CPU).
The input device 102 may include a keyboard or the like, and the output device 103 may include a display (LCD or the like), a speaker or the like.
The memory 104 may include read only memory and random access memory and provides instructions and data to the processor 101. A portion of the memory 104 may also include non-volatile random access memory. For example, the memory 104 may also store information of device type.
In a specific implementation, the processor 101, the input device 102, and the output device 103 described in the embodiments of the present invention may execute the implementation described in the embodiments of the method for generating the cloud image of the supporting force distribution of the coal face support provided in the embodiments of the present invention, which is not described herein again.
Further, the embodiment of the invention also provides a top plate pressure visualization analysis system. As shown in fig. 4, the system includes:
the data acquisition component 100 is used for collecting original observation data of the supporting force of the working face bracket;
the data storage component 200 is used for providing a unified data writing and inquiring interface for the data acquisition component and simultaneously storing the received data into the distributed database by utilizing a load balancing algorithm;
the data output component 300 is configured to extract original observation data from the data storage component according to a sampling time period, a starting point of a roadway section of a working face tendency and the number of grid data rows and columns, and draw a bracket supporting force distribution cloud image through data statistics integration algorithm processing, where the bracket supporting force distribution cloud image includes a data grid with picture pixels as sampling points, and the horizontal direction, the vertical direction, the cell color and the color change of the grid are mapped to working face advancing footage, bracket space layout, supporting force observation values and observation value change conditions respectively;
and the display component 400 is used for adjusting the time line of the bracket supporting force distribution cloud chart in a man-machine interaction mode so as to dynamically deduce the change trend of the pressure of the top plate of the working face in a visual mode.
Specifically, the data output component 300 is specifically configured to:
extracting the original observation data according to the sampling time period, the starting point and the stopping point of the working face inclined roadway section and the grid data row and column number so as to obtain sampling data;
defining a working face local measurement coordinate system, a picture drawing coordinate system, a picture resolution and conversion relations between the working face trend roadway length and the inclined roadway length;
generating grid data corresponding to the data grid according to the sample data;
and drawing the bracket supporting force distribution cloud picture according to the grid data, the working face local measurement coordinate system, the picture drawing coordinate system, the picture resolution and the conversion relation between the working face trend roadway length and the inclined roadway length.
It should be noted that, in the embodiment of the present invention, the specific workflow and related details of the visual analysis system are referred to the foregoing method embodiment section, and are not repeated herein.
From the above description, the embodiment of the invention provides a bracket supporting force distribution cloud chart representation method which combines the space layout of the bracket of the working face with the supporting pressure of the top plate and can reflect the change relation of the advancing footage, the stoping speed and the bracket supporting force along with the advancing of the working face. The roof pressure visual analysis system collects the observation data of the support supporting force, dynamically draws a support supporting force distribution cloud chart in a time sequence, adjusts a time line in a man-machine interaction mode, dynamically deduces the change trend of the roof pressure of the working face in a visual mode, can observe the roof period pressing law, the pressing step distance and the pressing intensity in the advancing process of the working face, assists a roof manager in predicting mine pressure, controls the mine pressure to appear, and provides a decision analysis tool for guaranteeing the coal mine safety production.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or elements, or may be an electrical, mechanical, or other form of connection.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment of the present invention.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, each unit may exist alone, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.

Claims (7)

1. The utility model provides a coal face support supporting force distribution cloud picture representation method which is characterized by comprising the following steps:
acquiring original observation data of the support force of the bracket;
drawing a bracket supporting force distribution cloud image according to the original observed data, wherein the bracket supporting force distribution cloud image comprises a data grid taking picture pixels as acquisition points, and the horizontal direction, the vertical direction, the cell color and the color change of the grid are respectively mapped into working face propelling footage, bracket space layout, a supporting force observed value and an observed value change condition;
receiving man-machine interaction operation, and adjusting a time line of the bracket supporting force distribution cloud picture according to the man-machine interaction operation to dynamically deduce the change trend of the pressure of the top plate of the working face in a visual mode;
drawing a bracket supporting force distribution cloud chart according to the original observation data, wherein the cloud chart specifically comprises the following steps:
extracting the original observation data according to the sampling time period, the starting point and the stopping point of the working face inclined roadway section and the grid data row and column number so as to obtain sampling data;
defining a working face local measurement coordinate system, a picture drawing coordinate system, a picture resolution and conversion relations between the working face trend roadway length and the inclined roadway length;
generating grid data corresponding to the data grid according to the sampling data;
drawing a bracket supporting force distribution cloud chart according to the grid data, a working face local measurement coordinate system, a picture drawing coordinate system, a picture resolution and conversion relations between the working face trend roadway length and the inclined roadway length;
the working surface local measurement coordinate system is defined as: selecting a working surface pushing stoping point in an upper lane as a local measurement reference origin S (0, 0); the open working face where the observer is located is directed to the downward lane from the upper lane to be the direction in which the working face tends to be positive;
the picture drawing coordinate system is defined as: taking the lower right corner of the picture as a drawing coordinate origin P (0, 0), wherein the vertical direction of the drawing coordinate origin is the positive y value direction, the horizontal direction of the drawing coordinate origin is the positive x value direction to the right, the x axis represents the advancing footage of the bracket, and the y axis represents the tangent plane tunnels of the bracket which are orderly arranged along the inclined direction of the working surface;
the grid data consists of RowRT rows, each row indicates a section of roadway in the roadway of the trend of the working face, and each row indicates the trend measurement length GW meter of the working face in total; the conversion formula of the start and stop points of the grid data line on the y axis of the picture is as follows:
Row[Y]Y1=PW*(Y-1)/RowCt
Row[Y]Y2=PW*Y-1/RowCt
wherein Y: line number, value range [1, rowCt ]; row [ Y ] Y1: the minimum value of the Y-axis numerical interval of the picture in the Y-line; row [ Y ] Y2: the maximum value of the Y-axis numerical interval of the picture is shown in the Y line;
the grid data consists of RowRT columns, each column indicates a section of advancing footage of the support along the running direction of the working surface, and each column indicates the running length GH meter of the working surface in total; the conversion formula of the start and stop points of the grid data on the x axis of the picture is as follows:
Col[X]X1=PH*(X-1)/ColRt
Col[X]X2=PH*X/ColRt
wherein, X: column number, value range [ ColCt ]; col [ X ] X1, the minimum value of X-axis numerical interval of the X-column of the picture, col [ X ] X2: the X column is at the maximum value of the X-axis numerical interval of the picture; the resolution calculation formula in the horizontal direction of the picture is PRH=GH/PH, namely 1 pixel point in the horizontal direction of the picture represents PRH meter advancing footage; the X-axis of the picture is divided into ColRt+1 scale values, wherein the scale values are the starting and ending points [ minimum value Col [ X ] X1, maximum value Col [ X ] X2] of the grid data column mapped to the X-axis numerical interval; the time corresponding to the origin of the x-axis is Ts, and the calculation rule of the trend length Lts of the residual working face corresponding to the 1 st scale is as follows:
when the time Ts exists in the footage history record, the footage record is obtained, and the trend length of the rest working surface contained in the record is Lts;
if the record in the time Ts does not exist in the footage history record, two front and rear footage records closest to the time Ts are found from the footage history record, the time Tp before the time Ts, the running length Lp of the rest working face after the time Tn after the time Ts and the running length Ln of the rest working face are found, and then lts=lp- (Lp-Ln)/(Tn-Tp);
the span of the grid data column in the x-axis is GH/ColRt, and the calculation rule of the trend length Lm of the residual working surface corresponding to the m-th scale on the x-axis is as follows: lm=lts+ (m-1) ×gh/ColRt, where m has a value in the range of [2, colrt+1];
the calculation rule of the time point Tm corresponding to the m-th scale is:
if a footage record with the running length Lm of the remaining working surface exists in the footage history record, the time contained in the record is Tm;
if there is no record of the remaining working face trend length Lm in the footage history, two front and rear footage records with the remaining working face trend length closest to Lm are found from the footage history, and tm=tp+ (Tn-Tp) × (Lp-Lm)/(Lp-Ln).
2. The method of claim 1, wherein the grid data comprises a plurality of cell timing data columns, wherein the generating of the cell timing data columns comprises the steps of:
according to the calculation rule of the time corresponding to the X-axis scale, calculating the time range of the cell time sequence data column;
setting bracket information contained in each row of roadway section, and acquiring a bracket set RS contained in a Y row where the cell time sequence data are located according to the bracket information;
dividing the time range of the cell time sequence data column into N time periods with an interval of Td;
for each separated time period, summarizing and solving all the bracket observation data in the time period in the bracket set RS to obtain a fused statistical value Vnew; the midpoint of the time period is the collection time Tnew of the statistic value, so that a collection interpolation data record Vtmp is obtained;
adding a color attribute for the newly generated record Vtmp, and obtaining an acquisition interpolation record according to the acquisition interpolation data record Vtmp and the color attribute;
and (5) forming a cell time sequence data column by collecting interpolation records of each time period.
3. The method of claim 2, wherein adding a color attribute to the nascent record Vtmp comprises:
the color bar 1 dimension array contains Cn colors, the value range [ Vmin, vmax ] of the interpolated data record Vtmp is collected, vmin represents the minimum value record, vmax represents the maximum value record, and the color bar array subscript i=floor ((Vnew-Vmin)/(Vmax-Vmin)) of the value Vnew map, wherein Floor: the function y= [ x ] is rounded down, and the largest integer not greater than the real number x is taken as the function value.
4. A coal face support supporting force distribution cloud image generating device, comprising a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are connected with each other, the memory is used for storing a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the method according to any one of claims 1-3.
5. A roof pressure visualization analysis system, comprising:
the data acquisition component is used for collecting original observation data of the supporting force of the working face bracket;
the data storage component is used for providing a unified data writing and inquiring interface for the data acquisition component and simultaneously storing the received data into the distributed database by utilizing a load balancing algorithm;
the data output assembly is used for extracting original observation data from the data storage assembly according to the sampling time period, the starting point of the roadway section of the working face and the number of grid data rows and columns, and drawing a bracket supporting force distribution cloud image through data statistics integration algorithm processing, wherein the bracket supporting force distribution cloud image comprises a data grid taking picture pixels as sampling points, and the horizontal direction, the vertical direction, the cell color and the color change of the grid are respectively mapped into working face propelling footage, bracket space layout, supporting force observation values and observation value change conditions;
the display component is used for adjusting the time line of the bracket supporting force distribution cloud picture in a man-machine interaction mode and dynamically deducing the change trend of the pressure of the top plate of the working face in a visual mode;
the data output assembly is specifically used for:
extracting the original observation data according to the sampling time period, the starting point and the stopping point of the working face inclined roadway section and the grid data row and column number so as to obtain sampling data;
defining a working face local measurement coordinate system, a picture drawing coordinate system, a picture resolution and conversion relations between the working face trend roadway length and the inclined roadway length;
generating grid data corresponding to the data grid according to the sampling data;
drawing a bracket supporting force distribution cloud chart according to the grid data, a working face local measurement coordinate system, a picture drawing coordinate system, a picture resolution and conversion relations between the working face trend roadway length and the inclined roadway length;
the working surface local measurement coordinate system is defined as: selecting a working surface pushing stoping point in an upper lane as a local measurement reference origin S (0, 0); the open working face where the observer is located is directed to the downward lane from the upper lane to be the direction in which the working face tends to be positive;
the picture drawing coordinate system is defined as: taking the lower right corner of the picture as a drawing coordinate origin P (0, 0), wherein the vertical direction of the drawing coordinate origin is the positive y value direction, the horizontal direction of the drawing coordinate origin is the positive x value direction to the right, the x axis represents the advancing footage of the bracket, and the y axis represents the tangent plane tunnels of the bracket which are orderly arranged along the inclined direction of the working surface;
the grid data consists of RowRT rows, each row indicates a section of roadway in the roadway of the trend of the working face, and each row indicates the trend measurement length GW meter of the working face in total; the conversion formula of the start and stop points of the grid data line on the y axis of the picture is as follows:
Row[Y]Y1=PW*(Y-1)/RowCt
Row[Y]Y2=PW*Y-1/RowCt
wherein Y: line number, value range [1, rowCt ]; row [ Y ] Y1: the minimum value of the Y-axis numerical interval of the picture in the Y-line; row [ Y ] Y2: the maximum value of the Y-axis numerical interval of the picture is shown in the Y line;
the grid data consists of RowRT columns, each column indicates a section of advancing footage of the support along the running direction of the working surface, and each column indicates the running length GH meter of the working surface in total; the conversion formula of the start and stop points of the grid data on the x axis of the picture is as follows:
Col[X]X1=PH*(X-1)/ColRt
Col[X]X2=PH*X/ColRt
wherein, X: column number, value range [ ColCt ]; col [ X ] X1, the minimum value of X-axis numerical interval of the X-column of the picture, col [ X ] X2: the X column is at the maximum value of the X-axis numerical interval of the picture; the resolution calculation formula in the horizontal direction of the picture is PRH=GH/PH, namely 1 pixel point in the horizontal direction of the picture represents PRH meter advancing footage; the X-axis of the picture is divided into ColRt+1 scale values, wherein the scale values are the starting and ending points [ minimum value Col [ X ] X1, maximum value Col [ X ] X2] of the grid data column mapped to the X-axis numerical interval; the time corresponding to the origin of the x-axis is Ts, and the calculation rule of the trend length Lts of the residual working face corresponding to the 1 st scale is as follows:
when the time Ts exists in the footage history record, the footage record is obtained, and the trend length of the rest working surface contained in the record is Lts;
if the record in the time Ts does not exist in the footage history record, two front and rear footage records closest to the time Ts are found from the footage history record, the time Tp before the time Ts, the running length Lp of the rest working face after the time Tn after the time Ts and the running length Ln of the rest working face are found, and then lts=lp- (Lp-Ln)/(Tn-Tp);
the span of the grid data column in the x-axis is GH/ColRt, and the calculation rule of the trend length Lm of the residual working surface corresponding to the m-th scale on the x-axis is as follows: lm=lts+ (m-1) ×gh/ColRt, where m has a value in the range of [2, colrt+1];
the calculation rule of the time point Tm corresponding to the m-th scale is:
if a footage record with the running length Lm of the remaining working surface exists in the footage history record, the time contained in the record is Tm;
if there is no record of the remaining working face trend length Lm in the footage history, two front and rear footage records with the remaining working face trend length closest to Lm are found from the footage history, and tm=tp+ (Tn-Tp) × (Lp-Lm)/(Lp-Ln).
6. The system of claim 5, wherein the grid data comprises a plurality of cell timing data columns, wherein the generation of the cell timing data columns comprises the steps of:
according to the calculation rule of the time corresponding to the X-axis scale, calculating the time range of the cell time sequence data column;
setting bracket information contained in each row of roadway section, and acquiring a bracket set RS contained in a Y row where the cell time sequence data are located according to the bracket information;
dividing the time range of the cell time sequence data column into N time periods with an interval of Td;
for each separated time period, summarizing and solving all the bracket observation data in the time period in the bracket set RS to obtain a fused statistical value Vnew; the midpoint of the time period is the collection time Tnew of the statistic value, so that a collection interpolation data record Vtmp is obtained;
adding a color attribute for the newly generated record Vtmp, and obtaining an acquisition interpolation record according to the acquisition interpolation data record Vtmp and the color attribute;
and (5) forming a cell time sequence data column by collecting interpolation records of each time period.
7. The system of claim 6, wherein adding a color attribute to the nascent record Vtmp comprises:
the color bar 1 dimension array contains Cn colors, the value range [ Vmin, vmax ] of the interpolated data record Vtmp is collected, vmin represents the minimum value record, vmax represents the maximum value record, and the color bar array subscript i=floor ((Vnew-Vmin)/(Vmax-Vmin)) of the value Vnew map, wherein Floor: the function y= [ x ] is rounded down, and the largest integer not greater than the real number x is taken as the function value.
CN202010225516.1A 2020-03-26 2020-03-26 Coal face support supporting force distribution cloud image representation method, device and system Active CN111460643B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010225516.1A CN111460643B (en) 2020-03-26 2020-03-26 Coal face support supporting force distribution cloud image representation method, device and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010225516.1A CN111460643B (en) 2020-03-26 2020-03-26 Coal face support supporting force distribution cloud image representation method, device and system

Publications (2)

Publication Number Publication Date
CN111460643A CN111460643A (en) 2020-07-28
CN111460643B true CN111460643B (en) 2023-12-19

Family

ID=71683351

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010225516.1A Active CN111460643B (en) 2020-03-26 2020-03-26 Coal face support supporting force distribution cloud image representation method, device and system

Country Status (1)

Country Link
CN (1) CN111460643B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113742431A (en) * 2021-08-13 2021-12-03 太原向明智控科技有限公司 Method and system for managing working surface measurement data
CN113700530B (en) * 2021-08-31 2023-08-29 天地科技股份有限公司 Top plate control method and device based on bracket pressure space-time cloud image and electronic equipment

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102797489A (en) * 2012-08-08 2012-11-28 北京天地玛珂电液控制系统有限公司 Propping plate pressure graphical displaying and analyzing method based on thrusting degree of coal face
CN110889087A (en) * 2019-10-29 2020-03-17 青岛本末岩控技术有限公司 Mine pressure big data real-time prediction system and method based on fully mechanized coal mining face

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102797489A (en) * 2012-08-08 2012-11-28 北京天地玛珂电液控制系统有限公司 Propping plate pressure graphical displaying and analyzing method based on thrusting degree of coal face
CN110889087A (en) * 2019-10-29 2020-03-17 青岛本末岩控技术有限公司 Mine pressure big data real-time prediction system and method based on fully mechanized coal mining face

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
孙波 ; 张向阳 ; 涂敏 ; .深井大采高综采面矿压显现及覆岩破断规律研究.中国安全生产科学技术.2018,(02),全文. *
曹启正.凉水井煤矿浅埋薄基岩综采面顶板来压机理及其控制研究.《中国优秀硕士学位论文全文数据库工程科技Ⅰ辑》.2019,第2-5章. *
贾珍 ; 原少洁 ; 张贵银 ; .黄河北煤田薄煤层覆岩采场推进方向运动规律研究.现代矿业.2016,(11),全文. *
郝金鹏.陈家沟煤矿特厚煤层综放采场矿压特征及顶煤冒放性研究.《中国优秀硕士学位论文全文数据库工程科技Ⅰ辑》.2016,全文. *

Also Published As

Publication number Publication date
CN111460643A (en) 2020-07-28

Similar Documents

Publication Publication Date Title
CN111460643B (en) Coal face support supporting force distribution cloud image representation method, device and system
CN111272220B (en) Tunnel state detection monitoring management system
CN102298154A (en) Device and method for monitoring evolution and distribution of mining-induced fracture
CN103233741A (en) Method for quantitatively evaluating surrounding rock stability of ultra-large underground cavern group in construction period
CN111681401A (en) BIM information flow-based high-formwork lora transmission safety monitoring device and method
CN108984817B (en) Real-time TBM cutter abrasion loss evaluation method
Xia et al. Blockiness level of rock mass around underground powerhouse of Three Gorges Project
CN113742431A (en) Method and system for managing working surface measurement data
CN102162370A (en) Mine safety management information system based on GIS
CN101454681B (en) Signal-under-test analyzing device
CN114143220A (en) Real-time data visualization platform
CN104977922A (en) Equipment monitoring device and method thereof
CN102446054B (en) Method and system for displaying web page
WO2024046501A1 (en) Roadway surrounding rock stress state detection method based on three-dimensional potential response
CN103534683A (en) Dynamic faceplates for multiple objects
US11367032B2 (en) System and method for supporting production management
EP2645192A1 (en) Monitoring the progress of a scheduled activity in an industrial process
CN112925041B (en) Method, device, equipment and storage medium for determining development degree of reservoir fracture
Slashchov et al. Development of methods and software algorithms for state forecast of the ultimate stressed rock massif
JPH09126836A (en) Instrumentation managing system
CN111350548B (en) Ground sound early warning method and device for rock burst of excavation roadway
Akbulut et al. Innovative Approach for Monitoring Underground Excavations at San Xavier Underground Mine Laboratory
Qi et al. Visual Analysis of Parallel Interval Events.
CA2869360A1 (en) Investigating the activities being performed by a machine in a mining process
CN113791448B (en) Multidimensional data visualization method and system based on geological structure characteristics

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
GR01 Patent grant
GR01 Patent grant