CN-122022642-A - Mining emergency material intelligent distribution system oriented to complex geological conditions

CN122022642ACN 122022642 ACN122022642 ACN 122022642ACN-122022642-A

Abstract

The application relates to the technical field of mine intelligent management and emergency response, and particularly provides a mine emergency material intelligent distribution system oriented to complex geological conditions, which comprises a data acquisition module, a geological evaluation module and a control module, wherein the data acquisition module is used for acquiring multidimensional sensing data of a mine geological environment and emergency material demand information in real time, the multidimensional sensing data comprises rock stratum stress, crack development degree and groundwater seepage parameters, and the geological evaluation module is used for carrying out dynamic geological risk level evaluation on the multidimensional sensing data based on an improved hidden Markov model to generate a real-time geological threat probability distribution map; the intelligent distribution system for the mine emergency materials under the complex geological conditions breaks through the limitation of the traditional system in path rigidity and perception lag, realizes safe, efficient and intelligent distribution of the emergency materials under the complex mine environment, provides more scientific and reliable technical support for mine rescue, and remarkably improves the mine safety guarantee capability and accident handling efficiency.

Inventors

YANG MING
LIU QUANHUI
HUI XUEQI
LI QIANG
LI CHUAN
CHEN ZHIZHI

Assignees

河南理工大学郑州高等研究院
陕西延长石油榆林可可盖煤业有限公司

Dates

Publication Date: 20260512
Application Date: 20251204

Claims (10)

1. An intelligent mining emergency material distribution system oriented to complex geological conditions, which is characterized by comprising: The data acquisition module is used for acquiring multidimensional sensing data of a mine geological environment and emergency material demand information in real time, wherein the multidimensional sensing data comprises rock stratum stress, crack development degree and groundwater seepage parameters; The geological evaluation module is used for carrying out dynamic geological risk level evaluation on the multidimensional sensing data based on the improved hidden Markov model and generating a real-time geological threat probability distribution map; The path generation module is used for generating a distribution path set with dynamic priority through a multi-objective optimization algorithm according to the geological threat probability distribution map and the material demand urgency; And the path optimization module is used for carrying out real-time iterative optimization on the distribution path set based on the self-adaptive reinforcement learning framework, and carrying out closed-loop adjustment on the path priority and the navigation strategy through geological parameter feedback.
2. The mining emergency material intelligent distribution system for complex geological conditions according to claim 1, wherein the data acquisition module comprises a multi-type geological sensor array arranged at key nodes of a mine tunnel and used for acquiring information such as internal stress fluctuation of rock stratum, crack expansion rate, underground water seepage path and the like, and transmitting the information to a system central processing unit in a wireless communication mode.
3. The mining emergency material intelligent distribution system for complex geological conditions according to claim 1, wherein the geological evaluation module models continuously collected geological data by constructing a multi-dimensional state transition matrix and an observation probability matrix, and fuses hidden Markov state discrimination algorithms to output geological threat levels of different areas and evolution trends thereof.
4. The mining emergency material intelligent distribution system oriented to complex geological conditions according to claim 1, wherein the path generation module constructs a multi-objective optimization function based on the geological threat probability distribution map and the spatial position of a demand point, the material type and the urgency, and the weight parameters can be automatically adjusted according to the operation scene so as to generate an optimal distribution path set meeting the safety and timeliness trade-off.
5. The intelligent distribution system for mining emergency materials under complex geological conditions according to claim 1, wherein each distribution path output by the path generation module comprises a path cost index, a risk level index and a task matching degree index, and is used for reinforcement learning weight distribution in a subsequent path optimization stage.
6. The mining emergency material intelligent distribution system for complex geological conditions according to claim 1, wherein the path optimization module builds a path evaluation model based on an Actor-Critic framework in reinforcement learning, wherein the environment state is a current geological risk map, the action is space path selection, and the reward function is dynamically adjusted in combination with a path security level, a material arrival time and a task priority level.
7. The intelligent distribution system for mining emergency materials under complex geological conditions according to claim 1, wherein the path optimization module comprises a geological feedback analysis sub-module for receiving the latest geological data uploaded in real time along the path nodes in the distribution process and dynamically adjusting the path priority and the vehicle traveling strategy according to the change trend.
8. The intelligent mining emergency material distribution system for complex geological conditions according to claim 2, wherein the multi-type geological sensor array comprises a stress sensor, a crack expansion monitor, a hydrologic seepage pressure gauge and a temperature and humidity sensor, and is used for realizing multidimensional collaborative sensing and abnormality early warning of a mine geological environment.
9. The intelligent distribution system for mining emergency materials under complex geological conditions according to claim 2, wherein the geological sensor array is deployed in a grading manner according to main lanes, branch lanes, junctions and key risk areas of a mine, wherein each node has independent power supply and edge computing capability, and supports an ad hoc network communication structure to improve the perceived coverage rate and communication robustness.
10. The mining emergency material intelligent distribution system for complex geological conditions according to claim 2, wherein the data acquisition module comprises a local data preprocessing unit for filtering, normalizing and extracting data characteristics of original perceived data, and compressing and packaging before transmission so as to improve data uploading efficiency and ground center processing performance.

Description

Mining emergency material intelligent distribution system oriented to complex geological conditions Technical Field The application relates to the technical field of mine intelligent management and emergency response, in particular to an intelligent distribution system for mine emergency materials under complex geological conditions. Background In the mine operation process, how to realize quick, safe and efficient distribution of emergency materials is one of key problems in mine safety management due to complexity and unpredictability of underground environment. Especially in emergency situations such as water penetration, roof fall, gas leakage and the like, accurate and rapid delivery of emergency materials has important significance for rescue. At present, the common mining material distribution mode mainly depends on means such as manual carrying, rail transportation or small unmanned vehicles, and the like, and material delivery is carried out under a static preset path. However, under complex and variable geological conditions, particularly when special geological structures such as faults, soft rock formations, water gushes or abrupt structures are encountered, the traditional distribution path is often blocked, and cannot be adjusted in real time according to the current geological conditions. The route rigidity and the response delay cause low distribution efficiency and even interruption, and seriously affect the timeliness and the safety of rescue work. Although some systems introduce a basic path re-planning mechanism, the real-time perceptibility and regulation logic of geological environment are generally lacking, and the dynamic influence of sudden geological events such as collapse, water damage and the like on the path is difficult to effectively treat. Meanwhile, the existing system lacks modeling analysis and path priority scheduling strategies for complex geological information, and unified scheduling of obstacle avoidance and intelligent optimal delivery is difficult to achieve. Disclosure of Invention The application aims to provide an intelligent mining emergency material distribution system oriented to complex geological conditions, which regulates and controls the distribution path priority according to real-time geological environment data so as to solve the problem that material delivery is blocked by complex rock stratum. In order to achieve the purpose, the application provides the following technical scheme that the mining emergency material intelligent distribution system oriented to complex geological conditions comprises: The data acquisition module is used for acquiring multidimensional sensing data of a mine geological environment and emergency material demand information in real time, wherein the multidimensional sensing data comprises rock stratum stress, crack development degree and groundwater seepage parameters; The geological evaluation module is used for carrying out dynamic geological risk level evaluation on the multidimensional sensing data based on the improved hidden Markov model and generating a real-time geological threat probability distribution map; The path generation module is used for generating a distribution path set with dynamic priority through a multi-objective optimization algorithm according to the geological threat probability distribution map and the material demand urgency; And the path optimization module is used for carrying out real-time iterative optimization on the distribution path set based on the self-adaptive reinforcement learning framework, and carrying out closed-loop adjustment on the path priority and the navigation strategy through geological parameter feedback. Optionally, the data acquisition module comprises a multi-type geological sensor array arranged at key nodes of the mine tunnel, and is used for acquiring information such as internal stress fluctuation, crack expansion rate and underground water seepage path of the rock stratum and the like, and transmitting the information to the system central processing unit in a wireless communication mode. Optionally, the geological evaluation module models continuously acquired geological data by constructing a multi-dimensional state transition matrix and an observation probability matrix, and fuses a hidden Markov state discrimination algorithm to output geological threat levels and evolution trends of different areas. Optionally, the path generating module constructs a multi-objective optimization function based on the geological threat probability distribution map and the spatial position, the material type and the urgency of the demand points, and the weight parameters can be automatically adjusted according to the operation scene to generate an optimal distribution path set meeting the balance between safety and timeliness. Optionally, each distribution path output by the path generating module includes a path cost index, a risk level index and a task matching degree index,