CN112502780B - Mine safety production management system based on local area network - Google Patents
Mine safety production management system based on local area network Download PDFInfo
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Abstract
The invention relates to a mine safety monitoring system, in particular to a mine safety production management system based on a local area network, which comprises a mine hole inner wall vibration monitoring sub-module, a mine hole ground subsidence monitoring sub-module, a supporting structure displacement and deformation monitoring sub-module, a mine hole inner gas monitoring sub-module, a constructor management sub-module, an unmanned aerial vehicle inspection sub-module and an intelligent control terminal, wherein the mine hole inner wall vibration monitoring sub-module, the mine hole ground subsidence monitoring sub-module, the supporting structure displacement and deformation monitoring sub-module realize real-time monitoring of the mine hole inner environment change condition, unsafe factors can be found in time, thereby improving the guarantee for the safety production of a mine, realizing the comprehensive monitoring of the whole ground condition, avoiding monitoring holes caused by unreasonable or too few arrangement of monitoring points, and realizing the visualization of the current condition in the mine hole by placing a corresponding human model at the position corresponding to a three-dimensional model of the mine hole according to constructor positioning data acquired by the constructor management sub-module.
Description
Technical Field
The invention relates to a mine safety monitoring system, in particular to a mine safety production management system based on a local area network.
Background
The coal mining method is a world coal production country, the reserves of iron, copper, aluminum, manganese and other resources are very rich, the coal mine is also an important basic industry, meanwhile, mining is a dangerous industry, the development of the coal mine industry is restricted by the severe situation of coal mine safety production, and the physical health and the life safety of coal mine workers are seriously threatened.
At present, the traditional coal mine production working face is far away from the ground, objective reasons enable production topography to be complex, the environment to be bad, and the problems that ground safety production personnel cannot know the underground working environment in time, rescue cannot be performed in time after accidents occur exist.
Disclosure of Invention
In order to solve the problems, the invention provides the mine safety production management system based on the local area network, which realizes the real-time monitoring of the environment change condition in the mine tunnel and can discover unsafe factors in time, thereby improving the guarantee for the safety production of the mine.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows: the mine safety production management system based on the local area network comprises a mine hole inner wall vibration monitoring sub-module, a mine hole ground subsidence monitoring sub-module, a supporting structure displacement and deformation monitoring sub-module, a mine hole inner gas monitoring sub-module, a constructor management sub-module, an unmanned aerial vehicle inspection sub-module and an intelligent control terminal, wherein the mine hole inner wall vibration monitoring sub-module, the mine hole ground subsidence monitoring sub-module, the supporting structure displacement and deformation monitoring sub-module and the mine hole inner gas monitoring sub-module are all connected with a plurality of distributed sensor nodes and are communicated with the intelligent control terminal, and all the distributed nodes are connected in a local area network through the Internet of things to realize data transmission and aggregation; the constructor management submodule is used for realizing real-time acquisition of constructor position and posture information, and the unmanned aerial vehicle inspection module is used for carrying out fixed-point acquisition of target image data according to a command sent by the intelligent control terminal; the intelligent control terminal carries out comprehensive analysis and risk assessment according to collected mine hole inner wall vibration data, mine hole ground subsidence data, supporting structure displacement and deformation data, mine hole inner gas parameter data, constructor position and attitude information data, and outputs the current mine safety condition.
Further, the mine cavity inner wall vibration monitoring submodule realizes monitoring of mine cavity inner wall vibration through vibration sensors which are arranged on the mine cavity inner wall according to a certain threshold value. Different thresholds may be set for different monitoring requirements.
Further, the mine hole ground subsidence monitoring submodule realizes the monitoring of mine hole ground subsidence through the infrared light curtain group and the three-dimensional attitude sensor installed in the infrared light curtain group, and the infrared light curtain group generates a light curtain for realizing ground subsidence, and the rapid positioning of ground subsidence points can be realized rapidly through the data detected by the light curtain.
Further, the support structure displacement and deformation monitoring submodule realizes collection of support structure displacement data and deformation data through three-dimensional attitude sensors arranged at two ends and the middle section of the support structure.
Further, the gas sensor of the gas monitoring submodule in the mine cavity is arranged on the supporting structure according to a certain threshold value through a nylon ribbon. Different thresholds may be set for different monitoring requirements.
Furthermore, the constructor management submodule realizes real-time acquisition of constructor position and posture information through the GPS positioning module and the three-dimensional posture sensor which are internally mounted in the waistband.
Further, the intelligent control terminal is internally loaded with: the data local storage module is used for realizing the local storage of the monitoring data; the mine construction safety evaluation module is used for calling a corresponding analysis model according to the received mine hole inner wall vibration data, mine hole ground subsidence data, supporting structure displacement and deformation data, mine hole inner gas parameter data, constructor position, attitude information data and image data acquired by the unmanned aerial vehicle to evaluate mine safety conditions and outputting corresponding prevention and control measures; the visualization module is used for marking each distributed sensor node and each light curtain group on the mine three-dimensional model according to the arrangement position information of each distributed sensor node and the position information of each light curtain group in the mine three-dimensional model according to the mine inner wall vibration monitoring sub-module, the mine hole ground subsidence monitoring sub-module, the supporting structure displacement and deformation monitoring sub-module and the mine inner gas monitoring sub-module, displaying parameter data acquired by each distributed sensor node and the light curtain group at the corresponding mark, and simultaneously placing a corresponding human body model at the corresponding position of the mine three-dimensional model according to constructor positioning data acquired by the constructor management sub-module; and the early warning module is used for sending the evaluation result of the mine safety condition to a player in the waistband through the local area network for broadcasting.
Further, the mine construction safety evaluation module comprises a single factor analysis module and a multi-factor analysis module, wherein the single factor analysis module is used for independently realizing identification analysis of picture data and constructor gesture data, the multi-factor analysis module is used for realizing comprehensive analysis of mine hole inner wall vibration data, mine hole ground subsidence data, supporting structure displacement and deformation data, mine hole inner gas parameter data and constructor position information, the picture data adopts ssd_acceptance_v3_coco model, constructor gesture data identification adopts BP neural network model, the multi-factor analysis module realizes extraction of feature data based on PCA, and a support vector machine is used for realizing analysis of mine safety condition.
The invention has the following beneficial effects:
based on mine tunnel inner wall vibrations monitoring submodule, mine tunnel ground subsidence monitoring submodule, supporting construction displacement and deformation monitoring submodule, in the mine tunnel gaseous monitoring submodule, constructor management submodule, unmanned aerial vehicle patrol submodule and intelligent control terminal have realized the real-time supervision of mine tunnel interior environment change condition, can in time discover unsafe factor to the safety in production of mine has improved the guarantee.
The monitoring of mine tunnel ground subsidence is realized through the infrared light curtain group and the three-dimensional attitude sensor installed in the infrared light curtain group, and the quick positioning of ground subsidence points can be realized quickly, so that the comprehensive monitoring of the whole ground condition can be realized, and monitoring holes caused by unreasonable or too few arrangement of monitoring points are avoided.
Based on the construction of a mine tunnel three-dimensional model, marking of each distributed sensor node and each light curtain group is carried out on the mine three-dimensional model according to the arrangement position information of each distributed sensor node in the mine tunnel inner wall vibration monitoring submodule, the mine tunnel ground subsidence monitoring submodule, the supporting structure displacement and deformation monitoring submodule and the mine tunnel inner gas monitoring submodule and the position information of each light curtain group, the display of parameter data acquired by each distributed sensor node and the light curtain group at the corresponding marking position is realized, meanwhile, the corresponding human body model is placed at the corresponding position of the mine tunnel three-dimensional model according to constructor positioning data acquired by the constructor management submodule, and accordingly, the visualization of the current situation in the mine tunnel is realized.
Drawings
FIG. 1 is a system block diagram of a mine safety production management system based on a local area network in an embodiment of the invention;
fig. 2 is a system block diagram of an intelligent control terminal in an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples in order to make the objects and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, the embodiment of the invention provides a mine safety production management system based on a local area network, which comprises a mine hole inner wall vibration monitoring sub-module, a mine hole ground subsidence monitoring sub-module, a supporting structure displacement and deformation monitoring sub-module, a mine hole inner gas monitoring sub-module, a constructor management sub-module, an unmanned aerial vehicle inspection sub-module and an intelligent control terminal, wherein the mine hole inner wall vibration monitoring sub-module, the mine hole ground subsidence monitoring sub-module, the supporting structure displacement and deformation monitoring sub-module and the mine hole inner gas monitoring sub-module are all connected with a plurality of distributed sensor nodes and are communicated with the intelligent control terminal, and all the distributed sensor nodes are connected in the local area network through the internet of things to realize data transmission and aggregation; the constructor management submodule is used for realizing real-time acquisition of constructor position and posture information, and the unmanned aerial vehicle inspection module is used for carrying out fixed-point acquisition of target image data according to a command sent by the intelligent control terminal; the intelligent control terminal carries out comprehensive analysis and risk assessment according to collected mine hole inner wall vibration data, mine hole ground subsidence data, supporting structure displacement and deformation data, mine hole inner gas parameter data, constructor position and attitude information data, and outputs the current mine safety condition.
In this embodiment, ore deposit hole inner wall vibrations monitoring submodule piece realizes the monitoring of ore deposit hole inner wall vibrations through arranging the vibration sensor on the ore deposit hole inner wall according to certain threshold, vibration sensor realizes the installation through installing cover and bolt, the installing cover is one end open-ended round body/square/cuboid structure, and install the spring on the interior top surface of installing cover, vibration sensor installs in the installing cover, under the primitive state, the vibrator is whole to be located the installing cover outside, installing cover both sides welding engaging lug, during the installation, pass the engaging lug through the bolt and realize the rigid coupling of installing cover and installation face.
In this embodiment, the monitoring submodule is subsided on mine cave ground realizes the monitoring of mine cave ground subsidence through infrared ray light curtain group and install the three-dimensional attitude sensor in infrared ray light curtain group, and infrared ray light curtain group generates the light curtain that is used for realizing ground subsidence, can realize the quick location of ground subsidence point through the data that the light curtain detected to can realize the comprehensive monitoring of whole ground condition, avoid because the monitoring point arranges unreasonable or too few monitoring leak that brings.
In this embodiment, the support structure displacement and deformation monitoring submodule realizes the collection of support structure displacement data and deformation data through three-dimensional posture sensors installed at two ends and the middle section of the support structure.
In this embodiment, the gas sensor of gas monitoring submodule piece in the ore deposit hole passes through the nylon ribbon and installs on supporting construction according to certain threshold, and corresponding, gas sensor is including the shell that has welded the ring to and the gas sensor in the installation shell, during the installation, passes the ring with nylon ribbon one end, then bindes it on supporting construction and can accomplish the installation.
In this embodiment, the constructor management submodule realizes real-time collection of constructor position and posture information through the GPS positioning module and the three-dimensional posture sensor which are internally mounted in the waistband.
In this embodiment, the intelligent control terminal is internally loaded with:
the data local storage module is used for realizing the local storage of the monitoring data;
the mine construction safety evaluation module is used for calling a corresponding analysis model according to the received mine hole inner wall vibration data, mine hole ground subsidence data, supporting structure displacement and deformation data, mine hole inner gas parameter data, constructor position, attitude information data and image data acquired by the unmanned aerial vehicle to evaluate the mine safety condition, and outputting corresponding prevention and control measures based on the nearest classifier; specifically, the mine construction safety evaluation module comprises a single factor analysis module and a multi-factor analysis module, wherein the single factor analysis module is used for independently realizing identification analysis of picture data and constructor gesture data, the multi-factor analysis module is used for realizing comprehensive analysis of mine hole inner wall vibration data, mine hole ground subsidence data, supporting structure displacement and deformation data, mine hole inner gas parameter data and constructor position information, the picture data adopts ssd_acceptance_v3_coco model, constructor gesture data identification adopts BP neural network model, the multi-factor analysis module realizes extraction of feature data based on PCA, and a support vector machine is used for realizing analysis of mine safety condition.
The visualization module is used for marking each distributed sensor node and each light curtain group on the mine three-dimensional model according to the arrangement position information of each distributed sensor node and the position information of each light curtain group in the mine three-dimensional model according to the mine inner wall vibration monitoring sub-module, the mine hole ground subsidence monitoring sub-module, the supporting structure displacement and deformation monitoring sub-module and the mine inner gas monitoring sub-module, displaying parameter data acquired by each distributed sensor node and the light curtain group at the corresponding mark, and simultaneously placing a corresponding human body model at the corresponding position of the mine three-dimensional model according to constructor positioning data acquired by the constructor management sub-module;
and the early warning module is used for sending the evaluation result of the mine safety condition to a player in the waistband through the local area network for broadcasting.
In this embodiment, the ssd_acceptance_v3_coco model adopts ssd target detection algorithm, and the acceptance_v3_deep neural network is pre-trained with the coco data set. And then training the model by using a data set prepared previously, fine-tuning various parameters in the deep neural network, and finally obtaining a proper target detection model for detecting deformation of the supporting structure and abnormal states of constructors.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (3)
1. The mine safety production management system based on the local area network is characterized in that: the system comprises a mine hole inner wall vibration monitoring sub-module, a mine hole ground settlement monitoring sub-module, a supporting structure displacement and deformation monitoring sub-module, a mine hole inner gas monitoring sub-module, a constructor management sub-module, an unmanned aerial vehicle inspection sub-module and an intelligent control terminal, wherein the mine hole inner wall vibration monitoring sub-module, the mine hole ground settlement monitoring sub-module, the supporting structure displacement and deformation monitoring sub-module and the mine hole inner gas monitoring sub-module are all connected with a plurality of distributed sensor nodes and are communicated with the intelligent control terminal, and all the distributed nodes are connected in a local area network through the Internet of things to realize data transmission and aggregation; the constructor management submodule is used for realizing real-time acquisition of constructor position and posture information, and the unmanned aerial vehicle inspection module is used for carrying out fixed-point acquisition of target image data according to a command sent by the intelligent control terminal; the intelligent control terminal performs comprehensive analysis and risk assessment according to collected mine hole inner wall vibration data, mine hole ground subsidence data, support structure displacement and deformation data, mine hole inner gas parameter data, constructor position and posture information data, and outputs the current mine safety condition; the mine cavity inner wall vibration monitoring submodule is used for monitoring vibration of the mine cavity inner wall through vibration sensors which are arranged on the mine cavity inner wall according to a certain threshold value; the mine hole ground subsidence monitoring submodule realizes the monitoring of mine hole ground subsidence through an infrared light curtain group and a three-dimensional attitude sensor arranged in the infrared light curtain group; the support structure displacement and deformation monitoring submodule realizes acquisition of support structure displacement data and deformation data through three-dimensional attitude sensors arranged at two ends and the middle section of the support structure; the gas sensor of the gas monitoring submodule in the mine cavity is arranged on the supporting structure through a nylon ribbon according to a certain threshold value; the constructor management submodule realizes real-time acquisition of constructor position and posture information through a GPS positioning module and a three-dimensional posture sensor which are internally mounted in a constructor waistband.
2. A lan-based mine safety production management system according to claim 1, wherein: and the intelligent control terminal is internally loaded with: the system comprises a data local storage module, a mine construction safety evaluation module, a visualization module and an early warning module; the data local storage module is used for realizing the local storage of the monitoring data; the mine construction safety evaluation module is used for calling a corresponding analysis model according to received mine hole inner wall vibration data, mine hole ground subsidence data, supporting structure displacement and deformation data, mine hole inner gas parameter data, constructor position and posture information data and image data acquired by an unmanned aerial vehicle to evaluate mine safety conditions and outputting corresponding prevention and control measures; the visualization module is used for marking each distributed sensor node and each light curtain group on the mine three-dimensional model according to the arrangement position information of each distributed sensor node and the position information of each light curtain group in the mine three-dimensional model according to the mine inner wall vibration monitoring sub-module, the mine hole ground subsidence monitoring sub-module, the supporting structure displacement and deformation monitoring sub-module and the mine inner gas monitoring sub-module, displaying parameter data acquired by each distributed sensor node and each light curtain group at the corresponding mark, and simultaneously placing a corresponding human body model at the corresponding position of the mine three-dimensional model according to constructor positioning data acquired by the constructor management sub-module; the early warning module is used for sending the evaluation result of the mine safety condition to a player in the waistband through the local area network for broadcasting.
3. A lan-based mine safety production management system according to claim 2, wherein: the mine construction safety evaluation module comprises a single factor analysis module and a multi-factor analysis module, wherein the single factor analysis module is used for independently realizing identification analysis of picture data and constructor gesture data, the multi-factor analysis module is used for realizing comprehensive analysis of mine hole inner wall vibration data, mine hole ground subsidence data, supporting structure displacement and deformation data, mine hole inner gas parameter data and constructor position information, the picture data adopts a ssd_acceptance_V3_coco model, constructor gesture data identification adopts a BP neural network model, the multi-factor analysis module is used for realizing extraction of feature data based on PCA, and a support vector machine is used for realizing analysis of mine safety conditions.
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| CN116843222A (en) * | 2023-07-05 | 2023-10-03 | 江苏科泰检测技术服务有限公司 | Mine channel environment monitoring system and method based on mine safety production |
| CN117367413B (en) * | 2023-12-08 | 2024-02-09 | 山东新云鹏电气有限公司 | Mine personnel and mobile terminal equipment accurate positioning system and positioning method |
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| CN202870564U (en) * | 2012-04-17 | 2013-04-10 | 贵州省矿山安全科学研究院 | Digital mine safety production local area network system |
| CN103244188A (en) * | 2013-05-14 | 2013-08-14 | 太原科技大学 | Coal mine underground integrated monitoring and controlling system based on internet of things technology |
| CN103410569B (en) * | 2013-08-27 | 2016-03-02 | 武汉钢铁(集团)公司 | Metal mine down-hole Microseismic monitoring system |
| CN105117857B (en) * | 2015-09-16 | 2018-06-22 | 枣庄矿业(集团)有限责任公司田陈煤矿 | Safety of coal mines dynamic evaluation and diagnostic system and method |
| CN105781618A (en) * | 2016-03-15 | 2016-07-20 | 华洋通信科技股份有限公司 | Coal mine safety integrated monitoring system based on Internet of Things |
| CN108593213A (en) * | 2018-07-12 | 2018-09-28 | 中冶北方（大连）工程技术有限公司 | The inspection of unmanned plane sub-terrain mines and odoriferous homing device |
| CN110630331A (en) * | 2019-10-16 | 2019-12-31 | 安徽理工大学 | Coal mine support deformation early warning device and implementation method thereof |
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