CN117449909A - Intelligent accurate monitoring system for mining area roadway protection coal pillar quality - Google Patents
Intelligent accurate monitoring system for mining area roadway protection coal pillar quality Download PDFInfo
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- 239000003245 coal Substances 0.000 title claims abstract description 226
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- 238000005065 mining Methods 0.000 title claims abstract description 64
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- 239000013307 optical fiber Substances 0.000 claims description 49
- 238000006073 displacement reaction Methods 0.000 claims description 23
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- 238000013499 data model Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000001125 extrusion Methods 0.000 claims description 10
- 238000010008 shearing Methods 0.000 claims description 7
- 238000011156 evaluation Methods 0.000 claims description 6
- 238000010606 normalization Methods 0.000 claims description 6
- 238000004080 punching Methods 0.000 claims description 6
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- 238000005553 drilling Methods 0.000 abstract description 4
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- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
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Abstract
The invention relates to the technical field of roadway coal pillar monitoring, which is used for solving the problems that the existing roadway coal pillar monitoring has low test precision and discontinuous point repairing, the accurate position cannot be well determined, the efficiency is low, the numerical error condition frequently occurs, and the real-time monitoring cannot be realized; meanwhile, the mining influence range is generally monitored by an anchor rod cable stress meter, a drilling stress meter and the like, and the intelligent accurate monitoring cannot be realized, particularly the intelligent accurate monitoring system for the quality of the mining area roadway protection coal pillar comprises a data acquisition unit, a cloud database, a test point setting unit, a stability analysis unit, a deformation degree analysis unit, a comprehensive monitoring analysis unit, a monitoring equipment correction unit and a display terminal. According to the invention, through data processing, the relevant characteristics such as the quality deformation degree and stress distribution of the coal pillar are extracted, and prediction and judgment are carried out, so that the accuracy and reliability of a monitoring result are improved, and the normal operation and accuracy of the monitoring device are ensured through regular maintenance and calibration of the monitoring device.
Description
Technical Field
The invention relates to the technical field of roadway protection coal pillar monitoring, in particular to an intelligent accurate monitoring system for the quality of roadway protection coal pillars in a mining area.
Background
Along with the increase of the burial depth of the coal seam, the mining influence range is increased, mining stress distribution is irregular, surrounding rock bearing structures are specialized, the original reserved mining area roadway protection coal pillars are insufficient, the stability of the mining area roadway is seriously influenced, and a large amount of later repair is caused.
At present, the deformation monitoring of mining area roadways is mostly a surface displacement meter, a deep multipoint displacement meter, a roof separation meter, a drilling stress meter and the like, and has several problems: the test precision is low, the point supplement is discontinuous, the accurate position cannot be well determined, the efficiency is low, numerical error conditions frequently occur, real-time monitoring cannot be realized, and the change conditions of the stress of the overlying strata and the surrounding strata can be determined; meanwhile, the mining influence range is commonly monitored by an anchor rod cable stress meter, a drilling stress meter and the like, and intelligent accurate monitoring cannot be realized.
In order to solve the above-mentioned defect, a technical scheme is provided.
Disclosure of Invention
The invention aims to provide an intelligent and accurate monitoring system for the quality of a mining area roadway protection coal pillar.
The aim of the invention can be achieved by the following technical scheme: intelligent accurate monitoring system of mining area protection lane coal column quality includes: the system comprises a data acquisition unit, a cloud database, a test point setting unit, a stability analysis unit, a deformation degree analysis unit, a comprehensive monitoring analysis unit, a monitoring equipment correction unit and a display terminal;
the data acquisition unit is used for acquiring basic state information, stress state information and deformation state information of each roadway-protecting coal pillar in the mining area, acquiring influence factor information of distributed optical fibers laid by the roadway-protecting coal pillars, and sending various information to the cloud database for storage;
the cloud database is also used for storing a monitoring state judging table, a stable state evaluation judging table and a deformation degree judging table;
the test point setting unit is used for monitoring the basic state information of each roadway coal pillar in the mining area, so as to analyze the basic state of each roadway coal pillar in the mining area, and obtain a test point setting scheme of each pilot coal pillar;
the stability analysis unit is used for monitoring stress state information of each drift coal pillar in the mining area according to the output test point setting scheme of each drift coal pillar, so that the stability of each drift coal pillar in the mining area is analyzed, and the stability level of each drift coal pillar is output, wherein the stability level comprises a primary stability level, a secondary stability level and a tertiary stability level;
the deformation degree analysis unit is used for monitoring the deformation state information of each roadway coal pillar in the mining area, so as to analyze the deformation degree of each roadway coal pillar in the mining area, and output the deformation grade of each aviation coal pillar, wherein the deformation grade comprises a primary deformation grade, a secondary deformation grade and a tertiary deformation grade;
the comprehensive monitoring analysis unit is used for comprehensively judging and analyzing the quality of each roadway protection coal pillar in the mining area, so that a low-level danger early warning signal or a medium-level danger early warning signal or a high-level danger early warning signal is output, and is used as a final result to display and explain through a display terminal, or a monitoring equipment correction instruction is output, and the generated monitoring equipment correction instruction is sent to the monitoring equipment correction unit;
the monitoring equipment correction unit is used for carrying out monitoring equipment correction processing according to the received monitoring equipment correction instruction and calling influence factor information of the distributed optical fibers laid by the corresponding roadway coal pillars, so that the correction of the distributed optical fibers is completed, and the distributed optical fibers laid by the corresponding roadway coal pillars are returned to the stability analysis unit after being corrected, and then the operation is repeatedly executed.
Preferably, the analyzing the basic state of each roadway protection coal pillar in the mining area comprises the following specific analysis process:
monitoring the height, width and service life of each coal pillar in the basic state information of each roadway coal pillar in the mining area in real time, and calibrating the height, width and service life as H i 、W i Sum of ages i And performing calculation analysis on the three items of data according to a set data model:thereby obtaining the basic coefficient bas of each pilot coal pillar i Wherein i is a data set of the number of monitored roadway coal pillars taking the inside, i=1, 2,3 … … n, ρ1, ρ2 and ρ3 are weight factor coefficients of the coal pillar height, the coal pillar width and the service life, and ρ1, ρ2 and ρ3 are natural numbers larger than 0;
comparing and matching the basic coefficient of each pilot coal pillar with a monitoring state judging table stored in a cloud database, thereby obtaining a test point setting scheme of each pilot coal pillar, wherein each basic coefficient of each pilot coal pillar corresponds to one test point setting scheme, and the specific content of the test point setting scheme is as follows: and setting m distributed test points with L interval distances in a unit length of the punching extending direction by taking the punching position as an initial point.
Preferably, the analysis is performed on the stable state of each roadway protection coal pillar in the mining area, and the specific analysis process is as follows:
based on the output test point setting scheme of each pilot coal pillar, monitoring stress state information of each pilot coal pillar in real time, and obtaining extrusion stress, tensile prestress and shearing stress of each test point of each pilot coal pillar;
calculating and analyzing the extrusion stress, the tensile prestress and the shearing stress in stress state information of each test point of each roadway protection coal pillar monitored in real time, and according to a set data model: qf im ＝δ1×σr im +δ2×σa im +δ3×τ im Thereby obtaining the mass coefficient qf of each roadway-protecting coal pillar under the test point im Wherein δ1, δ2 and δ3 are normalization factors of extrusion stress, tensile prestress and shear stress, and δ1, δ2 and δ3 are natural numbers greater than 0;
carrying out average analysis on the quality coefficients of each roadway-protecting coal pillar under all test points according to the formula:thereby obtaining the quality characteristic value cqf of each roadway-protecting coal pillar i ；
And comparing and matching the quality characteristic values of the coal pillars of each roadway with a stable state evaluation and judgment table stored in a cloud database, thereby obtaining the stable state grade of each pilot coal pillar, wherein each quality characteristic value of each pilot coal pillar has a stable state grade corresponding to the corresponding stable state grade, and the stable state grade comprises a primary stable grade, a secondary stable grade and a tertiary stable grade.
Preferably, the deformation degree of each roadway protection coal pillar in the mining area is analyzed, and the specific analysis process is as follows:
monitoring displacement values of each pilot coal pillar in a continuous period of time, and calculating standard deviation of the displacement values of each pilot coal pillar monitored in a period of time according to the formula:thereby obtaining the displacement fluctuation value bdz of each pilot coal pillar i Wherein wy it Expressed as the monitored displacement value, mu 1, at each time point of each roadway-protecting coal pillar i Expressed as an average value of displacement of each pilot coal pillar over a period of time, t representing a continuous period of time;
monitoring the inclination angle of each pilot coal pillar in a continuous period of time, and monitoring each pilot coal pillar in a period of timeThe inclination angle of the roadway protection coal pillar is calculated by standard deviation according to the formula:thereby obtaining the inclination fluctuation value qxz of each pilot coal pillar i Wherein, ad it Expressed as the monitored inclination angle, mu 2, at each time point of each pillar i Expressed as an average value of inclination angles of each pilot coal pillar over a period of time, t representing a continuous period of time;
comprehensively analyzing the displacement fluctuation value and the inclination fluctuation value in the obtained deformation state information of each pilot coal pillar, and according to a set data model: bxc i ＝λ1×bdz i +λ2×qxz i Thereby obtaining the deformation characteristic value bxc of each roadway-protecting coal pillar i Wherein λ1 and λ2 are conversion factor coefficients of a displacement fluctuation value and an inclination fluctuation value, respectively, and λ1 and λ2 are natural numbers larger than 0, respectively, and the conversion factor coefficients are used for converting physical quantities of all data items into data coefficients of the same physical quantity;
and comparing and matching the deformation characteristic values of the coal pillars of each roadway with a deformation degree judging table stored in a cloud database, thereby obtaining the deformation grade of each pilot coal pillar, wherein each deformation characteristic value of the pilot coal pillar is corresponding to one deformation grade, and the deformation grade comprises a primary deformation grade, a secondary deformation grade and a tertiary deformation grade.
Preferably, the comprehensive judgment and analysis are performed on the quality of each roadway protection coal pillar in the mining area, and the specific analysis process is as follows:
if the first-level deformation grade and the first-level stability grade are received at the same time, the quality state of the corresponding roadway protection coal pillar is marked as a low-level danger early warning signal, and the low-level danger early warning signal is displayed and illustrated through a display terminal as a final result;
if the secondary deformation grade and the secondary stability grade are received at the same time, the quality state of the corresponding roadway protection coal pillar is marked as a medium-level danger early warning signal, and the medium-level danger early warning signal is displayed and illustrated as a final result through a display terminal;
if the three-level deformation level and the three-level stability level are received at the same time, the quality state of the corresponding roadway protection coal pillar is marked as an advanced danger early warning signal, and the advanced danger early warning signal is displayed and illustrated as a final result through a display terminal;
and if the monitoring equipment correction command is not generated, triggering the monitoring equipment correction command, and sending the generated monitoring equipment correction command to the monitoring equipment correction unit.
Preferably, the specific process of the correction processing of the monitoring device is as follows:
according to the generated correction instruction of the monitoring equipment, the loss value and the temperature change value in the influence factor information of the distributed optical fibers laid by the corresponding roadway protection coal pillar are taken in real time, and are respectively calibrated into shz and wbz, and the two data are comprehensively analyzed according to a set data model: the method comprises the steps of (1) obtaining an influence factor af of distributed optical fibers laid by corresponding roadway protection coal pillars by af=γ1× shz +γ2× wbz, wherein γ1 and γ2 are error factor coefficients of a loss value and a temperature change value respectively, and γ1 and γ2 are natural numbers larger than 0;
the output value of the distributed optical fibers laid by the corresponding roadway protection coal pillars is monitored in real time, and is calibrated to be scz, and the output value is calculated according to the formula: pz= scz × (1-aff), whereby a biased positive output value pz of the distributed optical fiber laid out by the corresponding roadway coal pillar is obtained;
and combining the known reference values to establish a correction curve of the distributed optical fibers laid by the corresponding pilot coal pillars, and specifically, mapping the offset output values of the distributed optical fibers to the known reference values, thereby correcting the output of the distributed optical fibers.
The invention has the beneficial effects that:
according to the invention, the basic state of each roadway coal pillar in the mining area is analyzed, the data calibration, formula calculation and data substitution comparison are adopted, so that the test point setting scheme of each roadway coal pillar is defined, and based on the test point setting scheme, the stable state of each roadway coal pillar in the mining area is analyzed by using the normalization calculation and database substitution comparison, so that the stable state grade of each roadway coal pillar is defined;
the deformation degree of each roadway coal pillar in the mining area is analyzed by adopting standard deviation calculation and comprehensive analysis, and the deformation grade of each roadway coal pillar is output;
through data processing, the characteristics of the deformation degree of the coal pillar quality, stress distribution and the like are extracted, prediction and judgment are carried out, so that the accuracy and reliability of a monitoring result are improved, and the normal operation and accuracy of monitoring equipment are ensured through regular maintenance and calibration, so that the accurate monitoring of the roadway protection coal pillar quality is realized, and meanwhile, the accurate judgment and analysis of the roadway protection coal pillar quality is also realized.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. 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.
Referring to fig. 1, the invention provides an intelligent accurate monitoring system for the quality of a mining area roadway protection coal pillar, comprising: the system comprises a data acquisition unit, a cloud database, a test point setting unit, a stability analysis unit, a deformation degree analysis unit, a comprehensive monitoring analysis unit, a monitoring equipment correction unit and a display terminal.
The data acquisition unit is used for acquiring basic state information, stress state information and deformation state information of each roadway coal pillar in the mining area, acquiring influence factor information of distributed optical fibers laid by the roadway coal pillars, and sending various information to the cloud database for storage.
The cloud database is also used for storing a monitoring state judging table, a stable state evaluation judging table and a deformation degree judging table.
The test point setting unit is used for monitoring the basic state information of each roadway coal pillar in the mining area, so that the basic state of each roadway coal pillar in the mining area is analyzed, and the specific analysis process is as follows:
monitoring the height, width and service life of each coal pillar in the basic state information of each roadway coal pillar in the mining area in real time, and calibrating the height, width and service life as H i 、W i Sum of ages i And performing calculation analysis on the three items of data according to a set data model:thereby obtaining the basic coefficient bas of each pilot coal pillar i Wherein i is a data set of the number of the monitored roadway coal pillars, i=1, 2,3 … … n, ρ1, ρ2 and ρ3 are weight factor coefficients of the coal pillar height, the coal pillar width and the service life, and ρ1, ρ2 and ρ3 are natural numbers larger than 0, and the weight factor coefficients are used for balancing the duty ratio weight of each item of data in formula calculation, so that the accuracy of calculation results is promoted;
comparing and matching the basic coefficient of each pilot coal pillar with a monitoring state judging table stored in a cloud database, thereby obtaining a test point setting scheme of each pilot coal pillar, wherein each basic coefficient of each pilot coal pillar corresponds to one test point setting scheme, and the specific content of the test point setting scheme is as follows: setting m distributed test points with L spacing distances in a unit length of a punching extending direction by taking a punching position as an initial point, wherein the setting of specific values of m and L is specifically set by a person skilled in the art in specific cases;
the method comprises the following steps: drilling holes with the diameter of 65-90mm on the coal pillar side of each working face, burying distributed optical fiber sensors at the test point interval of 5cm, and monitoring in real time by an optical fiber demodulator to monitor the stable state and deformation condition of the roadway protection coal pillar.
The stability analysis unit is used for monitoring stress state information of each roadway coal pillar in the mining area according to the output test point setting scheme of each roadway coal pillar, so that the stability of each roadway coal pillar in the mining area is analyzed, and the specific analysis process is as follows:
based on the output test point setting scheme of each pilot coal pillar, monitoring stress state information of each pilot coal pillar in real time, and obtaining extrusion stress, tensile prestress and shearing stress of each test point of each pilot coal pillar;
it should be noted that, the extrusion stress σr refers to the stress of the rock stratum on the sensing optical fiber, and the stress is determined when the optical fiber is buried in the rock stratum;
the tensile prestress sigma a refers to uniform tension applied to the sensing optical fiber before the sensing optical fiber is buried;
the shear stress tau refers to that the sensing optical fiber is buried in the rock stratum after being stretched, the sensing optical fiber generates a rebound effect in the rock stratum, and the friction force of the rock stratum to the sensing optical fiber can prevent the optical fiber from rebounding due to the tight contact between the rock stratum and the sensing optical fiber, so the shear stress is the friction force between the rock stratum and the sensing optical fiber;
the method is characterized in that the stress distribution condition in the roadway coal pillar can be obtained in real time and continuously through a distributed optical fiber monitoring technology, the quality and stability of the roadway coal pillar can be comprehensively evaluated through analyzing parameters such as extrusion stress, tensile prestress, shearing stress and the like, potential safety risks can be found in time, and corresponding measures can be taken;
calculating and analyzing the extrusion stress, the tensile prestress and the shearing stress in stress state information of each test point of each roadway protection coal pillar monitored in real time, and according to a set data model: qf im ＝δ1×σr im +δ2×σa im +δ3×τ im Thereby obtaining the mass coefficient qf of each roadway-protecting coal pillar under the test point im Wherein δ1, δ2 and δ3 are normalization factors of compression stress, tensile prestress and shear stress respectively, δ1, δ2 and δ3 are natural numbers greater than 0, and normalization factors are used for representing coefficients for converting various data in a data model into a dimensionless form;
carrying out average analysis on the quality coefficients of each roadway-protecting coal pillar under all test points according to the formula:thereby obtaining the quality characteristic value cqf of each roadway-protecting coal pillar i ；
Comparing and matching the quality characteristic values of the coal pillars of each roadway with a stable state evaluation and judgment table stored in a cloud database, thereby obtaining the stable state grade of each pilot coal pillar, wherein each quality characteristic value of each pilot coal pillar has a stable state grade corresponding to the corresponding stable state grade, and the stable state grade comprises a primary stable grade, a secondary stable grade and a tertiary stable grade;
it should be noted that, the primary stability level is used to indicate that the quality and stability of the current roadway coal pillar are higher, the secondary stability level is used to indicate that the quality and stability of the current roadway coal pillar are medium and inferior to the primary stability level, and the tertiary stability level is used to indicate that the quality and stability of the current roadway coal pillar are worse.
The deformation degree analysis unit is used for monitoring the deformation state information of each roadway-protecting coal pillar in the mining area, so that the deformation degree of each roadway-protecting coal pillar in the mining area is analyzed, and the specific analysis process is as follows:
monitoring displacement values of each pilot coal pillar in a continuous period of time, and calculating standard deviation of the displacement values of each pilot coal pillar monitored in a period of time according to the formula:thereby obtaining the displacement fluctuation value bdz of each pilot coal pillar i Wherein wy it Expressed as the monitored displacement value, mu 1, at each time point of each roadway-protecting coal pillar i Expressed as an average value of displacement of each pilot coal pillar over a period of time, t representing a continuous period of time;
monitoring the inclination angle of each pilot coal pillar in a continuous period of time, and calculating the standard deviation of the inclination angle of each pilot coal pillar monitored in a period of time according to the formula:thereby obtainingInclination fluctuation value qxz of each pilot coal pillar i Wherein, ad it Expressed as the monitored inclination angle, mu 2, at each time point of each pillar i Expressed as an average value of inclination angles of each pilot coal pillar over a period of time, t representing a continuous period of time;
comprehensively analyzing the displacement fluctuation value and the inclination fluctuation value in the obtained deformation state information of each pilot coal pillar, and according to a set data model: bxc i ＝λ1×bdz i +λ2×qxz i Thereby obtaining the deformation characteristic value bxc of each roadway-protecting coal pillar i Wherein λ1 and λ2 are conversion factor coefficients of a displacement fluctuation value and an inclination fluctuation value, respectively, and λ1 and λ2 are natural numbers larger than 0, respectively, and the conversion factor coefficients are used for converting physical quantities of all data items into data coefficients of the same physical quantity;
comparing and matching the deformation characteristic values of the coal pillars of each roadway with a deformation degree judging table stored in a cloud database, thereby obtaining the deformation grade of each pilot coal pillar, wherein each deformation characteristic value of the pilot coal pillar is corresponding to one deformation grade, and the deformation grade comprises a primary deformation grade, a secondary deformation grade and a tertiary deformation grade;
it should be noted that, the first-level deformation level is used to indicate that the deformation degree of the current roadway coal pillar is minimum, the second-level deformation level is used to indicate that the deformation degree of the current roadway coal pillar is greater, and the third-level deformation level is used to indicate that the deformation degree of the current roadway coal pillar is the most serious.
The comprehensive monitoring and analyzing unit is used for comprehensively judging and analyzing the quality of each roadway-protecting coal pillar in the mining area, and the specific analysis process is as follows:
if the first-level deformation grade and the first-level stability grade are received at the same time, the quality state of the corresponding roadway protection coal pillar is marked as a low-level danger early warning signal, and the low-level danger early warning signal is displayed and illustrated through a display terminal as a final result;
if the secondary deformation grade and the secondary stability grade are received at the same time, the quality state of the corresponding roadway protection coal pillar is marked as a medium-level danger early warning signal, and the medium-level danger early warning signal is displayed and illustrated as a final result through a display terminal;
if the three-level deformation level and the three-level stability level are received at the same time, the quality state of the corresponding roadway protection coal pillar is marked as an advanced danger early warning signal, and the advanced danger early warning signal is displayed and illustrated as a final result through a display terminal;
and if the monitoring equipment correction command is not generated, triggering the monitoring equipment correction command, and sending the generated monitoring equipment correction command to the monitoring equipment correction unit.
The monitoring equipment correction unit is used for carrying out monitoring equipment correction processing according to the received monitoring equipment correction instruction and calling influence factor information of distributed optical fibers laid by the corresponding roadway protection coal pillar, and the specific process is as follows:
according to the generated correction instruction of the monitoring equipment, the loss value and the temperature change value in the influence factor information of the distributed optical fibers laid by the corresponding roadway protection coal pillar are taken in real time, and are respectively calibrated into shz and wbz, and the two data are comprehensively analyzed according to a set data model: the method comprises the steps of (1) obtaining an influence factor af of distributed optical fibers laid by corresponding roadway protection coal pillars by af=γ1× shz +γ2× wbz, wherein γ1 and γ2 are error factor coefficients of a loss value and a temperature change value respectively, γ1 and γ2 are natural numbers larger than 0, and the error factor coefficients are used for improving the measurement precision of each measured value, so that the accuracy of formula calculation is realized;
it should be noted that, the loss value refers to the use loss degree of the distributed optical fiber laid by the corresponding roadway protection coal pillar, and is generally measured by using the use duration;
the output value of the distributed optical fibers laid by the corresponding roadway protection coal pillars is monitored in real time, and is calibrated to be scz, and the output value is calculated according to the formula: pz= scz × (1-aff), whereby a biased positive output value pz of the distributed optical fiber laid out by the corresponding roadway coal pillar is obtained;
the known reference values are combined to establish a correction curve of the distributed optical fibers laid by the corresponding pilot coal pillars, specifically, the offset output values of the distributed optical fibers are mapped into the known reference values, and therefore the output of the distributed optical fibers is corrected to obtain more accurate measurement results;
and returning to the stability analysis unit after finishing the correction of the distributed optical fibers laid by the corresponding roadway protection coal pillars, and repeatedly executing the operation.
When the method is used, the basic state information of each roadway coal pillar in the mining area is monitored, so that the basic state of each roadway coal pillar in the mining area is analyzed, and the test point setting scheme of each pilot coal pillar is obtained by adopting the modes of data calibration, formula calculation and data substitution comparison;
the method comprises the steps of taking an output test point setting scheme of each pilot coal pillar as a basis, monitoring stress state information of each pilot coal pillar in a mining area, analyzing the stable state of each pilot coal pillar in the mining area, and determining the stable state grade of each pilot coal pillar by utilizing a mode of normalization calculation and database substitution comparison;
the deformation state information of each roadway coal pillar in the mining area is monitored, and the deformation degree of each roadway coal pillar in the mining area is analyzed by adopting standard deviation calculation and comprehensive analysis, so that the deformation grade of each pilot coal pillar is output;
the comprehensive analysis is carried out on the quality of each roadway protection coal pillar in the mining area, so that a low-level danger early warning signal or a medium-level danger early warning signal or a high-level danger early warning signal is output, and the low-level danger early warning signal or the medium-level danger early warning signal is used as a final result to be displayed and illustrated through a display terminal;
and the influence factor information of the distributed optical fibers laid by the corresponding roadway coal pillars is called to carry out correction processing of the monitoring equipment, so that the correction of the distributed optical fibers is completed, the distributed optical fibers laid by the corresponding roadway coal pillars are returned to the stability analysis unit after being corrected, the operation is repeatedly executed, and the normal work and the accuracy of the monitoring equipment are ensured by regularly maintaining and calibrating the monitoring equipment.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (6)
1. Intelligent accurate monitoring system of district protection lane coal column quality, its characterized in that includes:
the data acquisition unit is used for acquiring basic state information, stress state information and deformation state information of each roadway-protecting coal pillar in the mining area, acquiring influence factor information of distributed optical fibers laid by the roadway-protecting coal pillars, and sending various information to the cloud database for storage;
the cloud database is also used for storing a monitoring state judging table, a stable state evaluation judging table and a deformation degree judging table;
the test point setting unit is used for monitoring the basic state information of each roadway coal pillar in the mining area, so as to analyze the basic state of each roadway coal pillar in the mining area, and obtain a test point setting scheme of each pilot coal pillar;
the stability analysis unit is used for monitoring stress state information of each drift coal pillar in the mining area according to the output test point setting scheme of each drift coal pillar, so that the stability of each drift coal pillar in the mining area is analyzed, and the stability level of each drift coal pillar is output, wherein the stability level comprises a primary stability level, a secondary stability level and a tertiary stability level;
the deformation degree analysis unit is used for monitoring the deformation state information of each roadway coal pillar in the mining area, so as to analyze the deformation degree of each roadway coal pillar in the mining area, and output the deformation grade of each aviation coal pillar, wherein the deformation grade comprises a primary deformation grade, a secondary deformation grade and a tertiary deformation grade;
the comprehensive monitoring analysis unit is used for comprehensively judging and analyzing the quality of each roadway protection coal pillar in the mining area, so that a low-level danger early warning signal or a medium-level danger early warning signal or a high-level danger early warning signal is output, and is used as a final result to display and explain through a display terminal, or a monitoring equipment correction instruction is output, and the generated monitoring equipment correction instruction is sent to the monitoring equipment correction unit;
the monitoring equipment correction unit is used for carrying out monitoring equipment correction processing according to the received monitoring equipment correction instruction and calling influence factor information of the distributed optical fibers laid by the corresponding roadway coal pillars, so that the correction of the distributed optical fibers is completed, and the distributed optical fibers laid by the corresponding roadway coal pillars are returned to the stability analysis unit after being corrected, and then the operation is repeatedly executed.
2. The intelligent accurate monitoring system for the quality of the roadway coal pillars in the mining area according to claim 1, wherein the basic state of each roadway coal pillar in the mining area is analyzed, and the specific analysis process is as follows:
monitoring the height, width and service life of each coal pillar in the basic state information of each roadway coal pillar in the mining area in real time, and calibrating the height, width and service life as H i 、W i Sum of ages i And performing calculation analysis on the three items of data according to a set data model:thereby obtaining the basic coefficient bas of each pilot coal pillar i Wherein i is a data set of the number of monitored roadway coal pillars taking the inside, i=1, 2,3 … … n, ρ1, ρ2 and ρ3 are weight factor coefficients of the coal pillar height, the coal pillar width and the service life, and ρ1, ρ2 and ρ3 are natural numbers larger than 0;
comparing and matching the basic coefficient of each pilot coal pillar with a monitoring state judging table stored in a cloud database, thereby obtaining a test point setting scheme of each pilot coal pillar, wherein each basic coefficient of each pilot coal pillar corresponds to one test point setting scheme, and the specific content of the test point setting scheme is as follows: and setting m distributed test points with L interval distances in a unit length of the punching extending direction by taking the punching position as an initial point.
3. The intelligent accurate monitoring system for the quality of the roadway coal pillars in the mining area according to claim 1, wherein the analysis of the stable state of each roadway coal pillar in the mining area is carried out, and the specific analysis process is as follows:
based on the output test point setting scheme of each pilot coal pillar, monitoring stress state information of each pilot coal pillar in real time, and obtaining extrusion stress, tensile prestress and shearing stress of each test point of each pilot coal pillar;
calculating and analyzing the extrusion stress, the tensile prestress and the shearing stress in stress state information of each test point of each roadway protection coal pillar monitored in real time, and according to a set data model: qf im ＝δ1×σr im +δ2×σa im +δ3×τ im Thereby obtaining the mass coefficient qf of each roadway-protecting coal pillar under the test point im Wherein δ1, δ2 and δ3 are normalization factors of extrusion stress, tensile prestress and shear stress, and δ1, δ2 and δ3 are natural numbers greater than 0;
carrying out average analysis on the quality coefficients of each roadway-protecting coal pillar under all test points according to the formula:thereby obtaining the quality characteristic value cqf of each roadway-protecting coal pillar i ；
And comparing and matching the quality characteristic values of the coal pillars of each roadway with a stable state evaluation and judgment table stored in a cloud database, thereby obtaining the stable state grade of each pilot coal pillar, wherein each quality characteristic value of each pilot coal pillar has a stable state grade corresponding to the corresponding stable state grade, and the stable state grade comprises a primary stable grade, a secondary stable grade and a tertiary stable grade.
4. The intelligent and accurate monitoring system for the quality of the roadway coal pillars in the mining area according to claim 1, wherein the deformation degree of each roadway coal pillar in the mining area is analyzed, and the specific analysis process is as follows:
monitoring displacement values of each pilot coal pillar in a continuous period of time, and carrying out standard on the displacement value of each pilot coal pillar monitored in a period of timeAnd calculating the difference according to the formula:thereby obtaining the displacement fluctuation value bdz of each pilot coal pillar i Wherein wy it Expressed as the monitored displacement value, mu 1, at each time point of each roadway-protecting coal pillar i Expressed as an average value of displacement of each pilot coal pillar over a period of time, t representing a continuous period of time;
monitoring the inclination angle of each pilot coal pillar in a continuous period of time, and calculating the standard deviation of the inclination angle of each pilot coal pillar monitored in a period of time according to the formula:thereby obtaining the inclination fluctuation value qxz of each pilot coal pillar i Wherein, ad it Expressed as the monitored inclination angle, mu 2, at each time point of each pillar i Expressed as an average value of inclination angles of each pilot coal pillar over a period of time, t representing a continuous period of time;
comprehensively analyzing the displacement fluctuation value and the inclination fluctuation value in the obtained deformation state information of each pilot coal pillar, and according to a set data model: bxc i ＝λ1×bdz i +λ2×qxz i Thereby obtaining the deformation characteristic value bxc of each roadway-protecting coal pillar i Wherein λ1 and λ2 are conversion factor coefficients of a displacement fluctuation value and an inclination fluctuation value, respectively, and λ1 and λ2 are natural numbers larger than 0, respectively, and the conversion factor coefficients are used for converting physical quantities of all data items into data coefficients of the same physical quantity;
and comparing and matching the deformation characteristic values of the coal pillars of each roadway with a deformation degree judging table stored in a cloud database, thereby obtaining the deformation grade of each pilot coal pillar, wherein each deformation characteristic value of the pilot coal pillar is corresponding to one deformation grade, and the deformation grade comprises a primary deformation grade, a secondary deformation grade and a tertiary deformation grade.
5. The intelligent accurate monitoring system for the quality of the roadway coal pillars in the mining area according to claim 1, wherein the comprehensive judgment analysis is carried out on the quality of each roadway coal pillar in the mining area, and the specific analysis process is as follows:
if the first-level deformation grade and the first-level stability grade are received at the same time, the quality state of the corresponding roadway protection coal pillar is marked as a low-level danger early warning signal, and the low-level danger early warning signal is displayed and illustrated through a display terminal as a final result;
if the secondary deformation grade and the secondary stability grade are received at the same time, the quality state of the corresponding roadway protection coal pillar is marked as a medium-level danger early warning signal, and the medium-level danger early warning signal is displayed and illustrated as a final result through a display terminal;
if the three-level deformation level and the three-level stability level are received at the same time, the quality state of the corresponding roadway protection coal pillar is marked as an advanced danger early warning signal, and the advanced danger early warning signal is displayed and illustrated as a final result through a display terminal;
and if the monitoring equipment correction command is not generated, triggering the monitoring equipment correction command, and sending the generated monitoring equipment correction command to the monitoring equipment correction unit.
6. The intelligent accurate monitoring system for the quality of the mining area roadway protection coal pillar according to claim 1, wherein the specific process of the correction treatment of the monitoring equipment is as follows:
according to the generated correction instruction of the monitoring equipment, the loss value and the temperature change value in the influence factor information of the distributed optical fibers laid by the corresponding roadway protection coal pillar are taken in real time, and are respectively calibrated into shz and wbz, and the two data are comprehensively analyzed according to a set data model: the method comprises the steps of (1) obtaining an influence factor af of distributed optical fibers laid by corresponding roadway protection coal pillars by af=γ1× shz +γ2× wbz, wherein γ1 and γ2 are error factor coefficients of a loss value and a temperature change value respectively, and γ1 and γ2 are natural numbers larger than 0;
the output value of the distributed optical fibers laid by the corresponding roadway protection coal pillars is monitored in real time, and is calibrated to be scz, and the output value is calculated according to the formula: pz= scz × (1-aff), whereby a biased positive output value pz of the distributed optical fiber laid out by the corresponding roadway coal pillar is obtained;
and combining the known reference values to establish a correction curve of the distributed optical fibers laid by the corresponding pilot coal pillars, and specifically, mapping the offset output values of the distributed optical fibers to the known reference values, thereby correcting the output of the distributed optical fibers.
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