CN-122018367-A - Remote control-based intelligent control system for dust removal and ventilation of tunneling roadway

CN122018367ACN 122018367 ACN122018367 ACN 122018367ACN-122018367-A

Abstract

The invention discloses a brand-new dust-removing ventilation intelligent control system for a tunneling roadway based on remote control, which relates to the technical field of tunneling roadways and comprises an intelligent control system main body, wherein the intelligent control system main body comprises a remote control center, a multi-dimensional sensing module, an intelligent prediction module, a multi-system cooperative control module and a remote control module; the multi-dimensional sensing module collects the gas concentration, dust concentration, wind flow speed, temperature and tunneling operation parameters in the tunneling roadway in real time, the multi-system cooperative control module and the energy efficiency optimization module are used for realizing cooperative linkage of a ventilation, dust removal and spray dust reduction system, avoiding wind flow collision and system interference, improving dust removal efficiency, and simultaneously, optimizing energy consumption on the premise of ensuring safety based on a variable frequency fan and an energy efficiency database, solving the problems of energy waste and low energy efficiency of the traditional system, and realizing green energy-saving operation.

Inventors

GUO YING
XIAO YANG
YANG JUNSHENG
CHEN YEWU
WANG ZHENPING
YANG TAO
CAO YONG
LI QINGWEI

Assignees

西安科技大学
江苏金之铭环保科技有限公司
兖矿新疆矿业有限公司硫磺沟煤矿

Dates

Publication Date: 20260512
Application Date: 20260116

Claims (8)

1. The intelligent control system is characterized by comprising a remote control center, a multi-dimensional sensing module, an intelligent prediction module, a multi-system cooperative control module and a remote control module, wherein the multi-dimensional sensing module is used for collecting gas concentration, dust concentration, wind flow speed, temperature and tunneling operation parameters in a tunneling roadway in real time, the intelligent prediction module is used for predicting a gas accumulation trend and a dust diffusion path by combining historical data and real-time collected data based on a machine learning algorithm, and the multi-system cooperative control module is used for dynamically and cooperatively regulating and controlling operation parameters of a ventilation system, a dust removal system and a spray dust reduction system according to a prediction result and a preset safety threshold value so as to realize cooperative linkage of wind flow, dust removal and dust reduction.
2. The intelligent control system for completely removing dust and ventilating in a tunneling roadway based on remote control of claim 1 is characterized in that the multidimensional sensing module comprises a distributed gas sensor, a laser dust sensor, an ultrasonic wind speed sensor and a tunneling machine operation state sensor, wherein the gas sensor and the dust sensor are arranged in a group every 5-8 meters, and the tunneling head-on position is arranged in an encryption mode, so that the comprehensiveness and instantaneity of data acquisition are ensured.
3. The intelligent control system for completely new dust removal and ventilation of a tunneling roadway based on remote control of claim 1 is characterized in that a gas accumulation prediction model and a dust diffusion prediction model are arranged in the intelligent prediction module, the gas accumulation prediction model is based on an LSTM neural network, gas concentration change rate, wind flow speed and roadway section parameters are input, a gas concentration distribution prediction result within 10-30 minutes is output, and the dust diffusion prediction model is combined with hydrodynamic simulation and a random forest algorithm to predict the diffusion range of dust under different wind flow conditions.
4. The intelligent control system for completely new dust removal and ventilation of a tunneling roadway based on remote control of claim 1 is characterized in that the multi-system cooperative control module is provided with a wind flow-dust removal-dust reduction cooperative logic, when the dust diffusion range is predicted to be enlarged, the wind deflector angle of the ventilation system is firstly adjusted to optimize the wind flow direction, then the fan rotating speed of the dust removal system is increased, and finally the spraying dust reduction system is started according to the dust concentration.
5. The intelligent control system for dust removal and ventilation of the tunneling roadway based on remote control of claim 1 is characterized in that the ventilation system is provided with a variable frequency fan, a cooperative control module dynamically adjusts the frequency of the fan to change the air quantity according to the gas concentration, the dust concentration prediction result and the tunneling operation intensity, and automatically reduces the air quantity to an energy-saving operation state when the concentration is lower than a safety threshold and no accumulation and diffusion risks exist.
6. The intelligent control system for completely new dust removal and ventilation of a tunneling roadway based on remote control of claim 1, wherein the intelligent control system main body further comprises an emergency response sub-module, and when the multi-dimensional sensing module detects that the gas concentration or the dust concentration exceeds an emergency threshold value or the intelligent prediction module predicts that the gas concentration or the dust concentration is about to exceed the standard, the emergency response sub-module immediately triggers a linkage emergency mode of full-load operation of a ventilation system, efficient suction of the dust removal system and global opening of a spraying system, and sends an alarm signal to a remote control center, and meanwhile, the operation authority of the tunneling machine is locked.
7. The intelligent control system for completely removing dust and ventilating in a tunneling roadway based on remote control of claim 1, wherein the remote control module has the functions of real-time monitoring, parameter configuration, historical data tracing and fault diagnosis, and supports staff to check each monitoring data, system operation state and prediction result in the roadway through a visual interface, so that a safety threshold, cooperative control logic and equipment operation parameters can be remotely modified.
8. The intelligent control system for completely new dust removal and ventilation of a tunneling roadway based on remote control of claim 1 is characterized in that the intelligent control system main body further comprises an energy efficiency optimization module, the energy efficiency optimization module establishes an energy efficiency database based on different tunneling working conditions including stone drift tunneling, coal drift tunneling and tunneling speed, and automatically selects an optimal parameter combination by comparing energy consumption and dust removal and ventilation effects under different operation parameter combinations.

Description

Remote control-based intelligent control system for dust removal and ventilation of tunneling roadway Technical Field The invention relates to the field of tunneling roadways, in particular to a brand-new dust-removing ventilation intelligent control system for a tunneling roadway based on remote control. Background In underground tunneling operation of coal mine, dust and gas are two major hazards, namely high-concentration dust can cause occupational diseases such as pneumoconiosis and the like and can cause coal dust explosion, gas accumulation can easily cause gas explosion accidents, and life safety of miners and normal operation of equipment are seriously threatened. Therefore, the efficient dust removal and ventilation regulation and control of the tunneling working face become a core link of coal mine safety production. The patent (CN 117988910B) discloses a dust control device and a dust control method for changing the wind flow direction of a tunneling head roadway, wherein the wind flow in a wind pressing wind cylinder is divided into radial wind flow and axial wind flow by an intelligent wind dividing device, a positive pressure air chamber is formed at the front end of the roadway by utilizing the radial wind flow so as to block dust-containing circulating wind, and a dust-containing vortex is formed on the tunneling surface by the axial wind flow, and the dust is sucked by a dust removing fan. Based on the above patent, although the device can effectively inhibit circulating wind, the wind flow regulation of the device mainly depends on mechanical structures, such as a self-contraction ring and a contraction wind shield, intelligent prediction and dynamic response capability to gas concentration and dust diffusion trend are lacked, multi-system cooperative control is not realized, systems such as ventilation, dust removal, spraying and the like tend to independently operate, the lack of cooperative control easily causes wind flow conflict and low dust removal efficiency, meanwhile, the traditional system tends to keep higher wind output in the tunneling process to cause energy waste due to the fact that wind quantity cannot be dynamically regulated according to actual requirements, and the lack of intelligent regulation strategies also leads the system to not reach optimal energy efficiency ratio under different working conditions. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a brand-new intelligent dust-removing ventilation control system for a tunneling roadway based on remote control, which solves the problems that the intelligent prediction and dynamic response capability to gas concentration and dust diffusion trend are lacking, the multi-system cooperative control is not realized, the ventilation, dust removal, spraying and other systems tend to independently operate, the lack of cooperative control easily causes air flow conflict and low dust removal efficiency, meanwhile, the traditional system tends to keep higher air output in the tunneling process due to the incapability of dynamically adjusting the air quantity according to actual requirements, energy waste is caused, and the system cannot reach optimal energy efficiency ratio under different working conditions due to the lack of intelligent regulation strategies. The intelligent control system comprises an intelligent control system main body, wherein the intelligent control system main body comprises a remote control center, a multi-dimensional sensing module, an intelligent prediction module, a multi-system cooperative control module and a remote control module, the multi-dimensional sensing module is used for collecting gas concentration, dust concentration, wind flow speed, temperature and tunneling operation parameters in a tunneling roadway in real time, the intelligent prediction module is used for predicting gas accumulation trend and dust diffusion path by combining historical data with real-time collected data based on a machine learning algorithm, and the multi-system cooperative control module is used for dynamically and cooperatively regulating and controlling operation parameters of a ventilation system, a dust removal system and a spray dust removal system according to a prediction result and a preset safety threshold value so as to realize cooperative linkage of wind flow, dust removal and dust removal. Preferably, the multidimensional sensing module comprises distributed gas sensors, laser dust sensors, ultrasonic wind speed sensors and heading machine operation state sensors, wherein the gas sensors and the dust sensors are arranged in a group at intervals of 5-8 meters, and the heading head-on position is arranged in an encryption mode, so that the comprehensiveness and instantaneity of data acquisition are ensured. Preferably, a gas accumulation prediction model and a dust diffusion prediction model are arranged in the intelligent prediction module, the gas accumulation