CN111815471A - Coal mine resource mining area geological disaster monitoring and early warning management system based on big data - Google Patents
Coal mine resource mining area geological disaster monitoring and early warning management system based on big data Download PDFInfo
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Abstract
The invention discloses a geological disaster monitoring and early warning management system for a coal mine resource mining area based on big data, which comprises a mining area dividing module, a slope angle detection module, a monitoring point arrangement depth analysis module, a monitoring point arrangement module, a soil softness monitoring module, an underground water pressure monitoring module, a crust position monitoring module, an early warning display module, an analysis server and a storage database; according to the invention, the mining area is divided by the mining area dividing module, the monitoring point arrangement depth analysis module and the monitoring point distribution module, the monitoring points in a plurality of divided sub-areas are arranged, the soil softness, the ground water level descending height and the shifting distance of the crust are obtained by monitoring, the geological disaster risk evaluation coefficient is comprehensively analyzed, the sub-areas in danger and latent are obtained by comparison, and the early warning display is used for carrying out preventive treatment, so that the geological disaster occurrence rate of the mining area of the coal mine resources is reduced, and the life and property safety of people is ensured.
Description
Technical Field
The invention relates to the technical field of geological disaster monitoring, in particular to a geological disaster monitoring, early warning and management system for a coal mine resource mining area based on big data.
Background
As a world energy resource, China carries out large-scale coal mining activities for a long time, and mining of a large number of coal mine resources makes a contribution to the economic construction industry of China. However, the coal mining in China causes a series of geological disasters in mining areas, so that the normal life of people is seriously influenced, and even the life and property safety of people is endangered.
The invention relates to a current geological disaster monitoring technology, which mainly comprises the steps that people judge geological collapse by observing the cracking degree of the ground surface according to naked eyes, cannot accurately monitor geological disasters of all areas of coal mine resource development, cannot monitor soil softness of each sub-area at a certain distance from the ground surface, is low in monitoring level and accuracy, cannot monitor underground water level reduction conditions and movement of a crust through the naked eyes, cannot comprehensively analyze geological disaster risk assessment coefficients of each sub-area according to monitoring data, cannot judge whether the sub-area is in a dangerous latent area according to the geological disaster risk assessment coefficients, and further avoids economic losses caused by geological disasters of the dangerous latent area.
Disclosure of Invention
The invention aims to provide a large data-based geological disaster monitoring and early warning management system for a coal mine resource mining area.
The purpose of the invention can be realized by the following technical scheme:
a geological disaster monitoring and early warning management system for a coal mine resource mining area based on big data comprises a mining area dividing module, a slope angle detection module, a monitoring point arrangement depth analysis module, a monitoring point arrangement module, a soil softness monitoring module, an underground water pressure monitoring module, a crust position monitoring module, an early warning display module, an analysis server and a storage database;
the analysis server is respectively connected with the soil softness monitoring module, the underground water pressure monitoring module, the crust position monitoring module, the early warning display module and the storage database, the storage database is respectively connected with the mining area dividing module and the monitoring point distribution depth analysis module, the monitoring point distribution depth analysis module is respectively connected with the slope angle detection module and the monitoring point distribution module, and the monitoring point distribution module is connected with the soil softness monitoring module;
the mining area dividing module is used for dividing the coal mine resource mining area, dividing the coal mine resource mining area into a flat land area, a sloping land area and a roadway area according to topographic characteristics, dividing the flat land area into a plurality of flat land sub-areas with the same area according to a gridding dividing mode, and numbering the divided flat land sub-areas sequentially from left to right and then from top to bottom according to a set sequence, wherein the number is a1,a2,...,ai,...,anDividing the sloping field region into a plurality of sloping field sub-regions with the same slope surface area according to the length and width of the slope surface in an equal dividing mode, numbering the divided sloping field sub-regions in sequence from left to right and from top to bottom according to a set sequence, wherein the number is b1,b2,...,bj,...,bmSimultaneously dividing the roadway area into a plurality of roadway sub-areas with the same area in a length equal division mode of the top, and sequentially numbering the divided roadway sub-areas in sequence, wherein the number is c1,c2,...,cr,...,ckSending the numbers of the flat land sub-regions, the numbers of the sloping land sub-regions and the numbers of the roadway sub-regions to a storage database;
the slope angle detection module comprises a slope detector used for detecting the slope angle of the sloping field area, detecting the slope of the sloping field area through the slope detector to obtain the slope angle of the sloping field area, recording the slope angle as theta, and sending the detected slope angle to the monitoring point distribution depth analysis module;
the monitoring point laying depth analysis module is used for receiving the slope angle sent by the slope angle detection module and extracting the standard distance h between the laid monitoring point and the ground, which is stored in the databaseSign boardMeasuring the slope surface linear distance between a plurality of slope land subregions and the slope bottom to form a plurality of slope landsSlope straight line distance set from region to slope bottom
The linear distance of the slope surface from the slope bottom is expressed as the jth slope land sub-region, the arrangement depth of the monitoring points in a plurality of slope land sub-regions is calculated, the arrangement depth of the monitoring points in the plurality of slope land sub-regions is sent to a monitoring point arrangement module, and the arrangement depth of the monitoring points in the plurality of flat land sub-regions is set as the distance h from the groundSign boardSetting the arrangement depth of monitoring points in a plurality of roadway sub-areas to be a distance h from the top of the roadwaySign boardSending the layout depth of the monitoring points in the plurality of flat ground sub-areas and the layout depth of the monitoring points in the plurality of roadway sub-areas to a monitoring point layout module;
the monitoring point laying module is used for receiving the laying depth of the monitoring points in a plurality of flat land sub-areas, the laying depth of the monitoring points in a plurality of sloping land sub-areas and the laying depth of the monitoring points in a plurality of roadway sub-areas which are sent by the monitoring point depth analysis module, the monitoring points are distributed uniformly and correspond to the sub-areas one by one, the monitoring points are distributed in the flat sub-areas according to the corresponding distribution depth of the monitoring points in the flat sub-areas, monitoring points are laid in each sloping field sub-region according to the corresponding laying depth of the monitoring points in the sloping field sub-region, meanwhile, monitoring points are distributed at the top of each roadway subregion according to the corresponding distribution depth according to the distribution depth of the monitoring points in the received roadway subregions, and the monitoring points distributed in the plurality of flat land subregions, the plurality of sloping land subregions and the plurality of roadway subregions are sent to a soil softness monitoring module;
the soil softness monitoring module comprises a plurality of soil compactness testers and is used for receiving monitoring points distributed by the monitoring point distribution module in a plurality of flat land sub-regions, a plurality of sloping land sub-regions and a plurality of roadway sub-regions, detecting soil softness at each monitoring point according to the received monitoring points, pressing a probe of the soil compactness tester into soil, counting resistance of the probe to the soil, and respectively constructing soil softness as the counted soil resistanceSoil softness set P formed by a plurality of flat land subregionsA(pa1,pa2,...,pai,...,pan) Soil softness set of a plurality of sloping field subregions
And the soil softness set at the tops of a plurality of roadway subareas
Expressed as the soil softness of the ith land sub-area,
expressed as the soil softness of the jth sub-slope area,
the soil softness at the top of the r-th roadway subregion is expressed, and a soil softness set of a plurality of flat land subregions, a soil softness set of a plurality of sloping land subregions and a soil softness set at the top of a plurality of roadway subregions are sent to an analysis server;
the analysis server is used for receiving the soil softness sets of the flat land sub-regions, the soil softness sets of the sloping land sub-regions and the soil softness sets at the tops of the roadway sub-regions sent by the soil softness monitoring module, extracting the standard soil softness of the flat land regions, the standard soil softness of the sloping land regions and the standard soil softness of the tops of the roadway regions stored in the storage database, comparing the soil softness sets of the flat land sub-regions with the standard soil softness of the flat land regions, and obtaining the soil softness sets of the flat land sub-regions
Expressed as the contrast difference value between the soil softness of the ith flat land subregion and the corresponding standard soil softness, and the soil softness sets of a plurality of sloping land subregions are compared with the standard soil softness of the sloping land regions to obtain the soil softness sets of the contrast sloping land subregions
The soil softness of the jth sloping field subregion is represented as a comparison difference value of the soil softness of the jth sloping field subregion and the corresponding standard soil softness, and meanwhile, the soil softness sets at the tops of the roadway subregions are compared with the standard soil softness at the tops of the roadway regions to obtain the soil softness sets at the tops of the contrast roadway subregions
The contrast difference between the soil softness at the top of the sub-area of the r-th roadway and the corresponding standard soil softness is expressed;
the underground water pressure monitoring module comprises a pressure type water level gauge and is used for monitoring the underground water level of a coal mine resource mining area, detecting the pressure sum of underground water and atmospheric pressure under the same action through a water level sensor in the pressure type water level gauge according to the hydrostatic pressure principle that the pressure is in direct proportion to the water depth, and recording the pressure sum as P1Sending the pressure sum under the combined action of the detected underground water and the atmospheric pressure to an analysis server;
the crust position monitoring module comprises a GPS positioning instrument and is used for monitoring the position change of the crust movement in real time, monitoring the crust movement all weather by adopting a satellite space positioning technology, recording the position coordinate after the crust movement, and sending the position coordinate after the crust movement to the analysis server;
the analysis server is used for receiving the pressure sum under the combined action of the underground water and the atmospheric pressure sent by the underground water level monitoring module, receiving the position coordinate after the movement of the crust sent by the crust position monitoring module, extracting the standard atmospheric pressure and the standard height of the underground water level from the ground, which are stored in the storage database, extracting the standard density of the underground water stored in the storage database, calculating the height of the underground water level after mining, extracting the standard position coordinate before the movement of the crust, which is stored in the storage database, and calculating the offset distance of the crust, which is recorded as delta L;
meanwhile, calculating a geological disaster risk evaluation coefficient, extracting a geological disaster risk evaluation safety coefficient stored in a storage database, comparing the geological disaster risk evaluation coefficient with the geological disaster risk evaluation safety coefficient, if the geological disaster risk evaluation coefficient is less than or equal to the geological disaster risk evaluation safety coefficient, indicating that the subregion is in a safety region, if the geological disaster risk evaluation coefficient is greater than the geological disaster risk evaluation safety coefficient, indicating that the subregion is in a danger latent region, counting numbers corresponding to a plurality of subregions in danger latent, and sending the numbers corresponding to the subregions in danger latent to an early warning display module;
the storage database is used for receiving the numbers of the flat land sub-areas, the numbers of the sloping land sub-areas and the numbers of the roadway sub-areas sent by the mining area division module, and storing and arranging the standard height h of the monitoring points from the groundSign boardAnd storing the standard soil softness of the flat land area, the standard soil softness of the sloping land area and the standard soil softness of the top of the roadway area, and storing the standard atmospheric pressure P2Standard height h of ground water level from groundSign boardAnd the standard density rho of the underground water, and simultaneously storing the standard position before the crustal movement and the geological disaster risk assessment safety coefficient;
the early warning display module is used for receiving the numbers corresponding to the sub-areas in danger latent sent by the analysis server, carrying out early warning display on the received numbers corresponding to the sub-areas in danger latent, and carrying out prevention processing by related personnel according to the numbers corresponding to the sub-areas in danger latent.
Further, the distribution depth calculation formula of the monitoring points in the plurality of sloping field sub-areas is
hjExpressed as the deployment depth of the monitoring points in the jth slope sub-region,
expressed as the linear distance of the slope surface of the jth slope region from the slope bottom, theta is expressed as the slope angle of the slope region, and hSign boardOff-ground criteria expressed as laying monitoring pointsHeight.
Further, the height of the underground water level is calculated according to the formula
h' is expressed as the height of the ground water level, hSign boardExpressed as the standard height of the groundwater from the ground, P1Expressed as the sum of the pressures of the groundwater and the atmospheric pressure, P2Expressed as the standard atmospheric pressure of the storage, ρ is the standard density of the groundwater and g is the acceleration of gravity under the effect of earth's gravitational force, equal to 9.8N/Kg.
Further, the geological disaster risk assessment coefficient calculation formula is
ξ is represented as a geological disaster risk assessment coefficient,
the soil softness of the f-th sub-area in the w-th area of the coal mining area is represented as a contrast difference value of the soil softness and the corresponding standard soil softness, w is equal to the flat land area, the sloping land area and the roadway area, e is a natural number and is equal to 2.718, delta L is the offset distance of the crust, h' is the height of the underground water level, and h is the height of the underground water levelSign boardExpressed as the standard height of the groundwater level from the ground.
Has the advantages that:
(1) the invention provides a coal mine resource mining area geological disaster monitoring and early warning management system based on big data, the mining area is divided by a mining area dividing module, the arrangement depth of monitoring points in a plurality of sub-areas is analyzed by a slope angle detection module and a monitoring point arrangement depth analysis module, the monitoring points are arranged by a monitoring point arrangement module, the distributed monitoring points are in one-to-one correspondence with each subarea in a uniform and distributed mode, the problem of monitoring leakage of a certain subarea is avoided, the economic loss caused by geological disasters is reduced, meanwhile, the soil softness, the underground water level descending height and the shifting distance of the crust are monitored, the geological disaster risk evaluation coefficient is calculated by combining the analysis server, a plurality of sub-areas in danger latent are obtained through comparison, the accuracy of geological disaster monitoring is improved, and the fear that people send geological disasters to unknown areas is reduced.
(2) According to the invention, the slope angle detection module is used for detecting the slope of the sloping field area, the arrangement depth of the monitoring points in the sloping field area is calculated, and the monitoring points are arranged according to the corresponding arrangement depth, so that the accuracy of geological disaster monitoring data is improved, and a reliable reference basis is provided for the subsequent soil softness detection.
(3) According to the invention, the early warning display module is used for early warning display of the plurality of sub-areas in danger latency, so that the prevention treatment is convenient for related personnel, the occurrence rate of geological disasters in a coal mine resource mining area is reduced, and the life and property safety of people is guaranteed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a geological disaster monitoring and early warning management system for a coal mine resource mining area based on big data comprises a mining area dividing module, a slope angle detection module, a monitoring point arrangement depth analysis module, a monitoring point arrangement module, a soil softness monitoring module, an underground water pressure monitoring module, a crust position monitoring module, an early warning display module, an analysis server and a storage database;
the analysis server is respectively connected with the soil softness monitoring module, the underground water pressure monitoring module, the crust position monitoring module, the early warning display module and the storage database, the storage database is respectively connected with the mining area dividing module and the monitoring point distribution depth analysis module, the monitoring point distribution depth analysis module is respectively connected with the slope angle detection module and the monitoring point distribution module, and the monitoring point distribution module is connected with the soil softness monitoring module;
the mining area dividing module is used for dividing the coal mine resource mining area, dividing the coal mine resource mining area into a flat land area, a sloping land area and a roadway area according to topographic characteristics, dividing the flat land area into a plurality of flat land sub-areas with the same area according to a gridding dividing mode, and numbering the divided flat land sub-areas sequentially from left to right and then from top to bottom according to a set sequence, wherein the number is a1,a2,...,ai,...,anDividing the sloping field region into a plurality of sloping field sub-regions with the same slope surface area according to the length and width of the slope surface in an equal dividing mode, numbering the divided sloping field sub-regions in sequence from left to right and from top to bottom according to a set sequence, wherein the number is b1,b2,...,bj,...,bmSimultaneously dividing the roadway area into a plurality of roadway sub-areas with the same area in a length equal division mode of the top, and sequentially numbering the divided roadway sub-areas in sequence, wherein the number is c1,c2,...,cr,...,ckSending the numbers of the flat land sub-regions, the numbers of the sloping land sub-regions and the numbers of the roadway sub-regions to a storage database;
the slope angle detection module comprises a slope detector used for detecting the slope angle of the sloping field area, detecting the slope of the sloping field area through the slope detector to obtain the slope angle of the sloping field area, recording the slope angle as theta, and sending the detected slope angle to the monitoring point distribution depth analysis module;
the monitoring point laying depth analysis module is used for receiving the slope angle sent by the slope angle detection module and extracting the standard distance h between the laid monitoring point and the ground, which is stored in the databaseSign boardMeasuring the slope linear distance between a plurality of slope regions and the slope bottom to form a slope linear distance set between the slope regions and the slope bottom
The linear distance between the jth slope sub-region and the slope bottom is expressed, the laying depth of the monitoring points in a plurality of slope sub-regions is calculated, and the calculation formula of the laying depth is
hjExpressed as the deployment depth of the monitoring points in the jth slope sub-region,
expressed as the linear distance of the slope surface of the jth slope region from the slope bottom, theta is expressed as the slope angle of the slope region, and hSign boardThe standard height from the ground is represented as the standard height from the ground for arranging the monitoring points, the arrangement depth of the monitoring points in a plurality of sloping field sub-areas is sent to a monitoring point arrangement module, and the arrangement depth of the monitoring points in a plurality of flat field sub-areas is the distance h from the groundSign boardAnd setting the arrangement depth of the monitoring points in a plurality of roadway sub-areas as the distance h from the top of the roadwaySign boardSending the layout depth of the monitoring points in the plurality of flat ground sub-areas and the layout depth of the monitoring points in the plurality of roadway sub-areas to a monitoring point layout module;
the monitoring point laying module is used for receiving the laying depth of monitoring points in a plurality of flat land sub-areas, the laying depth of the monitoring points in a plurality of slope land sub-areas and the laying depth of the monitoring points in a plurality of roadway sub-areas sent by the monitoring point depth analysis module, enabling the laid monitoring points to correspond to the sub-areas one by one in a uniformly distributed mode, avoiding the problem of monitoring leakage of a certain sub-area, reducing economic loss caused by geological disasters, laying the monitoring points in each flat land sub-area according to the received laying depth of the monitoring points in the flat land sub-areas and the corresponding laying depth of the monitoring points in each slope land sub-area according to the calculated laying depth of the monitoring points in the slope land sub-areas, improving the accuracy of geological disaster monitoring data, providing reliable reference basis for subsequent soil softness detection, and simultaneously laying depth of the monitoring points in the received roadway sub-areas at the top of each roadway sub-area according to the received laying depth of the monitoring points in the Monitoring points are distributed according to the corresponding distribution depth, and the monitoring points distributed in a plurality of flat land sub-areas, a plurality of sloping land sub-areas and a plurality of roadway sub-areas are sent to a soil softness monitoring module;
the soil softness monitoring module comprises a plurality of soil compactness testers and is used for receiving monitoring points distributed by the monitoring point distribution module in a plurality of flat land sub-regions, a plurality of sloping land sub-regions and a plurality of roadway sub-regions, detecting soil softness at each monitoring point according to the received monitoring points, pressing a probe of the soil compactness tester into soil, counting resistance of the probe to the soil, and forming a soil softness set of the flat land sub-regions respectively by taking the counted soil resistance as the soil softness
Soil softness set of a plurality of sloping field subregions
And the soil softness set at the tops of a plurality of roadway subareas
Expressed as the soil softness of the ith land sub-area,
expressed as the soil softness of the jth sub-slope area,
expressing the soil softness at the top of the r-th roadway subregion, and integrating the soil softness of a plurality of flat land subregions, the soil softness of a plurality of sloping land subregions and a plurality of roadwaysThe soil softness set at the top of the sub-area is sent to an analysis server;
the analysis server is used for receiving the soil softness sets of the flat land sub-regions, the soil softness sets of the sloping land sub-regions and the soil softness sets at the tops of the roadway sub-regions sent by the soil softness monitoring module, extracting the standard soil softness of the flat land regions, the standard soil softness of the sloping land regions and the standard soil softness of the tops of the roadway regions stored in the storage database, comparing the soil softness sets of the flat land sub-regions with the standard soil softness of the flat land regions, and obtaining the soil softness sets of the flat land sub-regions
Expressed as the contrast difference value between the soil softness of the ith flat land subregion and the corresponding standard soil softness, and the soil softness sets of a plurality of sloping land subregions are compared with the standard soil softness of the sloping land regions to obtain the soil softness sets of the contrast sloping land subregions
The soil softness of the jth sloping field subregion is represented as a comparison difference value of the soil softness of the jth sloping field subregion and the corresponding standard soil softness, and meanwhile, the soil softness sets at the tops of the roadway subregions are compared with the standard soil softness at the tops of the roadway regions to obtain the soil softness sets at the tops of the contrast roadway subregions
The contrast difference between the soil softness at the top of the sub-area of the r-th roadway and the corresponding standard soil softness is expressed;
the underground water pressure monitoring module comprises a pressure type water level gauge and is used for monitoring the underground water level of a coal mine resource mining area, detecting the pressure sum of underground water and atmospheric pressure under the same action through a water level sensor in the pressure type water level gauge according to the hydrostatic pressure principle that the pressure is in direct proportion to the water depth, and recording the pressure sum as P1Under the combined action of the detected underground water and atmospheric pressureThe pressure sum is sent to the analysis server;
the crust position monitoring module comprises a GPS positioning instrument and is used for monitoring the position change of the crust movement in real time, monitoring the crust movement all weather by adopting a satellite space positioning technology, recording the position coordinate after the crust movement, and sending the position coordinate after the crust movement to the analysis server;
the analysis server is used for receiving the pressure sum of the underground water and the atmospheric pressure under the combined action sent by the underground water level monitoring module, receiving the position coordinate of the moving ground shell sent by the ground shell position monitoring module, extracting the standard atmospheric pressure and the standard height of the underground water level from the ground, which are stored in the storage database, extracting the standard density of the underground water stored in the storage database, and calculating the height of the underground water level after mining, wherein the height calculation formula of the underground water level is as follows
h' is expressed as the height of the ground water level, hSign boardExpressed as the standard height of the groundwater from the ground, P1Expressed as the sum of the pressures of the groundwater and the atmospheric pressure, P2Expressing as the stored standard atmospheric pressure, rho as the standard density of underground water, g as the gravity acceleration under the action of earth gravity, which is equal to 9.8N/Kg, extracting the standard position coordinates before the earth crust moves, which are stored in a storage database, and calculating the offset distance of the earth crust as delta L;
simultaneously calculating a geological disaster risk evaluation coefficient, wherein the calculation formula of the geological disaster risk evaluation coefficient is
ξ is represented as a geological disaster risk assessment coefficient,
expressed as the contrast difference between the soil softness of the f-th sub-area in the w-th area of the coal mining area and the corresponding standard soil softness, w is equal to the flat land area, the sloping land area and the roadway area, e is a natural number and is equal to 2.718, and Delta L is theIs the offset distance of the crust of the earth, h' is the height of the ground water level, hSign boardThe method comprises the steps of representing the standard height of an underground water level from the ground, extracting a geological disaster risk evaluation safety coefficient stored in a storage database, comparing a geological disaster risk evaluation coefficient with the geological disaster risk evaluation safety coefficient, representing that a subregion is in a safe region if the geological disaster risk evaluation coefficient is smaller than or equal to the geological disaster risk evaluation safety coefficient, representing that the subregion is in a dangerous latent region if the geological disaster risk evaluation coefficient is larger than the geological disaster risk evaluation safety coefficient, improving the precision of geological disaster monitoring, reducing the fear of sending geological disasters to an unknown region by people, counting the numbers corresponding to a plurality of subregions in dangerous latent state, and sending the numbers corresponding to the subregions in dangerous latent state to an early warning display module;
the storage database is used for receiving the numbers of the flat land sub-areas, the numbers of the sloping land sub-areas and the numbers of the roadway sub-areas sent by the mining area division module, and storing and arranging the standard height h of the monitoring points from the groundSign boardAnd storing the standard soil softness of the flat land area, the standard soil softness of the sloping land area and the standard soil softness of the top of the roadway area, and storing the standard atmospheric pressure P2Standard height h of ground water level from groundSign boardAnd the standard density rho of the underground water, and simultaneously storing the standard position before the crustal movement and the geological disaster risk assessment safety coefficient;
the early warning display module is used for receiving the numbers corresponding to the sub-areas in danger latent sent by the analysis server, and displaying the received numbers corresponding to the sub-areas in danger latent in an early warning mode, and related personnel perform preventive treatment according to the numbers corresponding to the sub-areas in danger latent, so that the occurrence rate of geological disasters in a coal mine resource mining area is reduced, and the life and property safety of people is guaranteed;
the foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (4)
1. The utility model provides a colliery resource exploitation district geological disasters monitoring early warning management system based on big data which characterized in that: the system comprises a mining area dividing module, a slope angle detection module, a monitoring point arrangement depth analysis module, a monitoring point distribution module, a soil softness monitoring module, an underground water pressure monitoring module, a crust position monitoring module, an early warning display module, an analysis server and a storage database;
the analysis server is respectively connected with the soil softness monitoring module, the underground water pressure monitoring module, the crust position monitoring module, the early warning display module and the storage database, the storage database is respectively connected with the mining area dividing module and the monitoring point distribution depth analysis module, the monitoring point distribution depth analysis module is respectively connected with the slope angle detection module and the monitoring point distribution module, and the monitoring point distribution module is connected with the soil softness monitoring module;
the mining area dividing module is used for dividing the coal mine resource mining area, dividing the coal mine resource mining area into a flat land area, a sloping land area and a roadway area according to topographic characteristics, dividing the flat land area into a plurality of flat land sub-areas with the same area according to a gridding dividing mode, and numbering the divided flat land sub-areas sequentially from left to right and then from top to bottom according to a set sequence, wherein the number is a1,a2,...,ai,...,anDividing the sloping field region into a plurality of sloping field sub-regions with the same slope surface area according to the length and width of the slope surface in an equal dividing mode, numbering the divided sloping field sub-regions in sequence from left to right and from top to bottom according to a set sequence, wherein the number is b1,b2,...,bj,...,bmSimultaneously dividing the roadway area into a plurality of roadway sub-areas with the same area in a length equal division mode of the top, and sequentially numbering the divided roadway sub-areas in sequence, wherein the number is c1,c2,...,cr,...,ckSending the numbers of the flat land sub-regions, the numbers of the sloping land sub-regions and the numbers of the roadway sub-regions to a storage database;
the slope angle detection module comprises a slope detector used for detecting the slope angle of the sloping field area, detecting the slope of the sloping field area through the slope detector to obtain the slope angle of the sloping field area, recording the slope angle as theta, and sending the detected slope angle to the monitoring point distribution depth analysis module;
the monitoring point laying depth analysis module is used for receiving the slope angle sent by the slope angle detection module and extracting the standard distance h between the laid monitoring point and the ground, which is stored in the databaseSign boardMeasuring the slope linear distance between a plurality of slope regions and the slope bottom to form a slope linear distance set between the slope regions and the slope bottom
The linear distance of the slope surface from the slope bottom is expressed as the jth slope land sub-region, the arrangement depth of the monitoring points in a plurality of slope land sub-regions is calculated, the arrangement depth of the monitoring points in the plurality of slope land sub-regions is sent to a monitoring point arrangement module, and the arrangement depth of the monitoring points in the plurality of flat land sub-regions is set as the distance h from the groundSign boardSetting the arrangement depth of monitoring points in a plurality of roadway sub-areas to be a distance h from the top of the roadwaySign boardSending the layout depth of the monitoring points in the plurality of flat ground sub-areas and the layout depth of the monitoring points in the plurality of roadway sub-areas to a monitoring point layout module;
the monitoring point laying module is used for receiving the laying depth of the monitoring points in a plurality of flat land sub-areas, the laying depth of the monitoring points in a plurality of sloping land sub-areas and the laying depth of the monitoring points in a plurality of roadway sub-areas which are sent by the monitoring point depth analysis module, the monitoring points are distributed uniformly and correspond to the sub-areas one by one, the monitoring points are distributed in the flat sub-areas according to the corresponding distribution depth of the monitoring points in the flat sub-areas, monitoring points are laid in each sloping field sub-region according to the corresponding laying depth of the monitoring points in the sloping field sub-region, meanwhile, monitoring points are distributed at the top of each roadway subregion according to the corresponding distribution depth according to the distribution depth of the monitoring points in the received roadway subregions, and the monitoring points distributed in the plurality of flat land subregions, the plurality of sloping land subregions and the plurality of roadway subregions are sent to a soil softness monitoring module;
the soil softness monitoring module comprises a plurality of soil compactness testers and is used for receiving monitoring points distributed by the monitoring point distribution module in a plurality of flat land sub-regions, a plurality of sloping land sub-regions and a plurality of roadway sub-regions, detecting soil softness at each monitoring point according to the received monitoring points, pressing a probe of the soil compactness tester into soil, counting resistance of the probe to the soil, and forming a soil softness set of the flat land sub-regions respectively by taking the counted soil resistance as the soil softness
Soil softness set of a plurality of sloping field subregions
And the soil softness set at the tops of a plurality of roadway subareas
Expressed as the soil softness of the ith land sub-area,
expressed as the soil softness of the jth sub-slope area,
expressed as the soil softness at the top of the sub-region of the r-th roadway,sending the soil softness sets of the flat land sub-areas, the soil softness sets of the sloping land sub-areas and the soil softness sets of the tops of the roadway sub-areas to an analysis server;
the analysis server is used for receiving the soil softness sets of the flat land sub-regions, the soil softness sets of the sloping land sub-regions and the soil softness sets at the tops of the roadway sub-regions sent by the soil softness monitoring module, extracting the standard soil softness of the flat land regions, the standard soil softness of the sloping land regions and the standard soil softness of the tops of the roadway regions stored in the storage database, comparing the soil softness sets of the flat land sub-regions with the standard soil softness of the flat land regions, and obtaining the soil softness sets of the flat land sub-regions
Expressed as the contrast difference value between the soil softness of the ith flat land subregion and the corresponding standard soil softness, and the soil softness sets of a plurality of sloping land subregions are compared with the standard soil softness of the sloping land regions to obtain the soil softness sets of the contrast sloping land subregions
The soil softness of the jth sloping field subregion is represented as a comparison difference value of the soil softness of the jth sloping field subregion and the corresponding standard soil softness, and meanwhile, the soil softness sets at the tops of the roadway subregions are compared with the standard soil softness at the tops of the roadway regions to obtain the soil softness sets at the tops of the contrast roadway subregions
The contrast difference between the soil softness at the top of the sub-area of the r-th roadway and the corresponding standard soil softness is expressed;
the underground water pressure monitoring module comprises a pressure type water level gauge and is used for monitoring the underground water level of a coal mine resource mining area, detecting the pressure sum of underground water and atmospheric pressure under the same action through a water level sensor in the pressure type water level gauge according to the hydrostatic pressure principle that the pressure is in direct proportion to the water depth, and recording the pressure sum as P1Sending the pressure sum under the combined action of the detected underground water and the atmospheric pressure to an analysis server;
the crust position monitoring module comprises a GPS positioning instrument and is used for monitoring the position change of the crust movement in real time, monitoring the crust movement all weather by adopting a satellite space positioning technology, recording the position coordinate after the crust movement, and sending the position coordinate after the crust movement to the analysis server;
the analysis server is used for receiving the pressure sum under the combined action of the underground water and the atmospheric pressure sent by the underground water level monitoring module, receiving the position coordinate after the movement of the crust sent by the crust position monitoring module, extracting the standard atmospheric pressure and the standard height of the underground water level from the ground, which are stored in the storage database, extracting the standard density of the underground water stored in the storage database, calculating the height of the underground water level after mining, extracting the standard position coordinate before the movement of the crust, which is stored in the storage database, and calculating the offset distance of the crust, which is recorded as delta L;
meanwhile, calculating a geological disaster risk evaluation coefficient, extracting a geological disaster risk evaluation safety coefficient stored in a storage database, comparing the geological disaster risk evaluation coefficient with the geological disaster risk evaluation safety coefficient, if the geological disaster risk evaluation coefficient is less than or equal to the geological disaster risk evaluation safety coefficient, indicating that the subregion is in a safety region, if the geological disaster risk evaluation coefficient is greater than the geological disaster risk evaluation safety coefficient, indicating that the subregion is in a danger latent region, counting numbers corresponding to a plurality of subregions in danger latent, and sending the numbers corresponding to the subregions in danger latent to an early warning display module;
the storage database is used for receiving the numbers of the flat land sub-areas, the numbers of the sloping land sub-areas and the numbers of the roadway sub-areas sent by the mining area division module, and storing and arranging the standard height h of the monitoring points from the groundSign boardAnd storing the standard soil softness of the flat land area, the standard soil softness of the sloping land area and the standard soil softness of the top of the roadway area, and storing the standard atmospheric pressure P2Standard height h of ground water level from groundSign boardAnd the standard density rho of the underground water, and simultaneously storing the standard position before the crustal movement and the geological disaster risk assessment safety coefficient;
the early warning display module is used for receiving the numbers corresponding to the sub-areas in danger latent sent by the analysis server, carrying out early warning display on the received numbers corresponding to the sub-areas in danger latent, and carrying out prevention processing by related personnel according to the numbers corresponding to the sub-areas in danger latent.
2. The coal mine resource mining area geological disaster monitoring and early warning management system based on big data as claimed in claim 1, is characterized in that: the calculation formula of the distribution depth of the monitoring points in the plurality of sloping field sub-regions is
hjExpressed as the deployment depth of the monitoring points in the jth slope sub-region,
expressed as the linear distance of the slope surface of the jth slope region from the slope bottom, theta is expressed as the slope angle of the slope region, and hSign boardExpressed as the standard height from the ground at which the monitoring points are laid.
3. The coal mine resource mining area geological disaster monitoring and early warning management system based on big data as claimed in claim 1, is characterized in that: the height of the underground water level is calculated according to the formula
h' is expressed as the height of the ground water level, hSign boardExpressed as the standard height of the groundwater from the ground, P1Expressed as the sum of the pressures of the groundwater and the atmospheric pressure, P2Expressed as the standard atmospheric pressure of the storage, ρ is the standard density of the groundwater and g is the acceleration of gravity under the effect of earth's gravitational force, equal to 9.8N/Kg.
4. The coal mine resource mining area geological disaster monitoring and early warning management system based on big data as claimed in claim 1, is characterized in that: the geological disaster risk assessment coefficient calculation formula is
ξ is represented as a geological disaster risk assessment coefficient,
the soil softness of the f-th sub-area in the w-th area of the coal mining area is represented as a contrast difference value of the soil softness and the corresponding standard soil softness, w is equal to the flat land area, the sloping land area and the roadway area, e is a natural number and is equal to 2.718, delta L is the offset distance of the crust, h' is the height of the underground water level, and h is the height of the underground water levelSign boardExpressed as the standard height of the groundwater level from the ground.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113034043A (en) * | 2021-04-20 | 2021-06-25 | 武汉鼎备浩科技有限公司 | Road engineering investigation surveying and mapping intelligent management system based on geographic feature processing technology |
| CN114067535A (en) * | 2022-01-18 | 2022-02-18 | 山东省国土空间生态修复中心 | Geological disaster early warning method and device based on artificial intelligence and storage medium |
| CN115796613A (en) * | 2022-11-04 | 2023-03-14 | 崇义县源德矿业有限公司 | Method and device for demarcating mineral resource exploitation planning area |
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2020
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113034043A (en) * | 2021-04-20 | 2021-06-25 | 武汉鼎备浩科技有限公司 | Road engineering investigation surveying and mapping intelligent management system based on geographic feature processing technology |
| CN114067535A (en) * | 2022-01-18 | 2022-02-18 | 山东省国土空间生态修复中心 | Geological disaster early warning method and device based on artificial intelligence and storage medium |
| CN114067535B (en) * | 2022-01-18 | 2022-03-29 | 山东省国土空间生态修复中心 | Geological disaster early warning method and device based on artificial intelligence and storage medium |
| CN115796613A (en) * | 2022-11-04 | 2023-03-14 | 崇义县源德矿业有限公司 | Method and device for demarcating mineral resource exploitation planning area |
| CN115796613B (en) * | 2022-11-04 | 2023-12-08 | 崇义县源德矿业有限公司 | Mineral resource exploitation planning and zoning method and device |
| CN116739310A (en) * | 2023-08-11 | 2023-09-12 | 威海市城市规划技术服务中心有限公司 | Building site survey planning system based on geographic information |
| CN116739310B (en) * | 2023-08-11 | 2023-10-24 | 威海市城市规划技术服务中心有限公司 | Building site survey planning system based on geographic information |
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