2270results about "Tunnel/mines ventillation" patented technology

The invention relates to the technical field of mine ventilation, in particular to a mine ventilation dynamic regulation and control method and system based on a space-time diagram convolutional network, and the regulation and control method comprises the following steps: 1, carrying out the modeling and data collection of a ventilation system; step 2, modeling and anomaly prediction of the graph convolutional network; step 3, generation and execution of a ventilation equipment coordinated regulation and control strategy; step 4, edge node calibration and model optimization; and 5, performing full-process control and emergency response. A ventilation network topological structure and multi-modal time series data are fused through a space-time diagram convolutional network, a joint model containing spatial feature extraction and time series modeling is constructed, 30-minute early warning of ventilation abnormity and propagation path prediction are achieved, the lag response limitation that a traditional system only depends on a single parameter threshold value is broken through, and the risk pre-judgment capability is improved.

The invention provides a tunnel fan group cooperative control dynamic optimization method and system. According to the method, dynamic data of vehicles in a tunnel are tracked through the Leiyu fusion technology, and a multi-dimensional game parameter set is constructed in combination with edge computing node analysis data and environment monitoring indexes. Based on a dynamic game theory model, fan cooperative response intensity is dynamically adjusted, smoke exhaust efficiency and evacuation channel wind speed constraint are balanced, fan control priority is calculated, differential rotating speed and deflection angle control is driven, and game strategy weight is iteratively optimized after environment feedback data is generated. And realizing rolling time domain control until the vehicle movement and the environment index reach a stable interval. According to the technical scheme provided by the invention, dynamic collaborative optimization of tunnel smoke exhaust and evacuation safety is realized, and the ventilation response efficiency and the evacuation channel safety in an emergency scene are improved.

The invention relates to the technical field of mine mining, and discloses an underground multi-parameter environment monitoring method, which comprises the following steps of: acquiring equipment pose, vibration spectrum and environment parameters in real time through a multi-source sensor, performing space-time alignment, filtering noise reduction and feature extraction on original data, outputting a standardized state vector, and performing data processing on the standardized state vector; fusing the pose data, the vibration signals and the environmental parameters under a unified space-time reference to construct a multi-dimensional feature matrix; and carrying out dimension reduction and redundant information elimination by adopting principal component analysis, and outputting a fused equipment state vector. According to the method, through real-time fusion of the equipment pose and the airflow dynamic state, the ventilation equipment is cooperatively regulated and controlled, the interference of mechanical vibration on the gas monitoring precision is eliminated and the reliability of gas concentration detection is guaranteed based on coupling modeling of vibration spectrum and pose drift and intelligent compensation of sensor reading errors, and through space correlation analysis and dynamic air volume optimization, the gas concentration detection accuracy is improved. Wind speed sudden drop caused by tramcar passing is actively eliminated, and roadway global continuous monitoring is achieved.

The invention discloses an intelligent regulation and control method and system for dust removal and air control of an underground high-gas heading face, and relates to the field of intelligent control. Firstly, an environment parameter set and an equipment parameter set are obtained in real time; constructing a digital twinborn model of the tunneling face and the ventilation system based on the environmental parameter set and the equipment parameter set, and simulating gas concentration and dust concentration under different working conditions; the prediction model predicts the gas emission amount trend and the dust concentration trend; and inputting the environment parameter set, the equipment parameter set and the risk level into an optimization model, and generating a target decision instruction by the optimization model. The operation parameters in the ventilation system can be timely regulated and controlled in real time based on the monitored environment parameter set of the tunneling face and the equipment parameter set in the ventilation system, so that the ventilation and dust removal efficiency of the ventilation system is improved. Moreover, the decision instruction is generated by referring to the trend of the gas emission amount and the dust concentration in the future, so that the accuracy of the decision instruction of the ventilation system is further improved.

The invention relates to the field of mine ventilation, in particular to an intelligent adjusting method and system for mine ventilation. The method comprises the following steps: constructing a dynamic topology model taking a roadway as an edge and taking a fan and an air door as nodes based on a mine CAD drawing; acquiring the actual wind pressure and the actual wind volume of each roadway branch in real time, performing inversion to obtain the current wind resistance, and updating the wind resistance attribute of the edge in the dynamic topology model by using the current wind resistance; calculating the optimal air volume of the roadway branch by using the updated dynamic topology model; based on the optimal air volume, target regulation and control parameters of the draught fan and the air door are obtained through solving by means of a particle swarm algorithm; and according to the target regulation and control parameters, the fan and the air door are adjusted through a fuzzy PID algorithm. The problem that in the prior art, mine ventilation adjustment is not intelligent and safe enough is solved, the theoretical optimal air volume is obtained through deep analysis of the mine, then ventilation adjustment is conducted step by step, and the scientificity and efficiency of ventilation adjustment are improved.

The invention discloses a tunnel traffic control method and system for multi-mode traffic variable analysis, and relates to the field of general control or regulation systems, and the method comprises the steps: obtaining vehicle operation state information and pollutant concentration distribution data, determining a pollutant generation region based on a vehicle state, and calculating a concentration gradient value and a diffusion rate value. And analyzing the concentration change trend according to the spatial-temporal distribution relationship, and dividing a vertical control region. And setting initial operation parameters of the jet fan in a preset adjustment range and a step length according to the pollutant distribution characteristics of each area. And monitoring area concentration distribution in real time, when a target area exceeds the standard, dynamically adjusting fan parameters of the area and an adjacent area to preset values, and setting illumination parameters of illumination equipment in the vertical control area according to pollutant concentration distribution characteristics. By implementing the method, the accuracy of tunnel partition environment parameter adjustment can be improved.

The invention relates to a dynamic regulation and control method and system for mine ventilation. The method comprises the following steps: acquiring multi-source data in a mine, and preprocessing the multi-source data to obtain a standardized data set; calculating the risk of each region in the mine based on the standardized data set to obtain a risk prediction matrix; based on the standardized data set and the risk prediction matrix, the air volume demand of each area is calculated, and an air volume demand table is obtained; based on the air volume demand table, an optimization proposition corresponding to the air volume demand is constructed and solved, and a solution set of the optimization proposition is obtained; mapping the solution set based on a preset rule to obtain a feasible allocation scheme; and based on the feasible allocation scheme, generating an equipment cooperation instruction, and obtaining a security instruction set. According to the method, dynamic factors can be considered, the air volume is dynamically adjusted, multi-fan cooperation is achieved, and the effects of real-time sensing and autonomous dynamic decision making of mine ventilation are achieved.

The invention relates to the technical field of mine environment control, and discloses an intelligent environment monitoring and control method in a mine laneway. The method comprises the steps that a real-time environment parameter set of a mine laneway is collected, the set contains gas concentration data, dust concentration data and temperature and humidity data, and real-time capture of laneway environment multi-dimensional parameters is achieved; then, based on the collected real-time environment parameter set, calculating an environment safety evaluation index so as to scientifically and objectively reflect the roadway environment safety condition; a dynamic control strategy is generated according to the environmental safety evaluation indexes, and the strategy comprises ventilation equipment regulation and control parameters and early warning level parameters and can be flexibly adjusted according to environmental changes; and finally, the ventilation equipment regulation and control parameters are sent to a mine ventilation system, and roadway environment regulation and control are executed. According to the method, environmental parameters can be comprehensively monitored, safety risks can be accurately evaluated, ventilation equipment can be flexibly regulated and controlled, the early warning function can be perfected, energy waste can be reduced, labor intensity can be reduced, and underground operation safety and mining efficiency can be guaranteed.

The invention belongs to the technical field of highway tunnel ventilation control, and provides a highway tunnel ventilation control method and system. The method comprises the following steps of multi-source heterogeneous data acquisition, multi-source data fusion, state estimation, traffic flow prediction, dynamic pollution index calculation and multi-target weight generation, rolling optimization with constraints, control execution, model updating and feedback correction. The state sensing precision is improved through multi-source data fusion, real-time accurate estimation and error reduction of a pollutant concentration field and a traffic flow state are realized through a heterogeneous sensor and a Rayleigh fusion technology, the problem of sensing deviation caused by single data in a traditional method is solved, future traffic flow is predicted based on a graph neural network, and the traffic flow sensing accuracy is improved. The fan power is optimized through model prediction control, the ventilation intensity is adjusted in advance, pollutants are prevented from exceeding the standard, the response speed is increased compared with threshold value control, and energy consumption is reduced.

The invention discloses a tunnel ventilation control system and method based on artificial intelligence, and relates to the technical field of ventilation control, and the method comprises the steps: in a tunnel design stage, building an unsteady-state computational fluid dynamics model based on tunnel three-dimensional linear parameters, calculating turbulence structures under different traffic conditions through a large eddy simulation method, and calculating an unsteady-state computational fluid dynamics model; determining an optimal space configuration scheme of the fan group according to the distribution of the velocity field and the pressure field; in the tunnel construction stage, multiple types of sensor arrays are arranged along the vault and the side wall of a tunnel in a layered mode; in the tunnel operation stage, real-time vehicle tracks and speed distribution information of a traffic monitoring system are obtained; establishing a ventilation demand dynamic prediction model based on space-time correlation analysis, constructing a fan cooperative control model considering airflow organization optimization, and solving an optimal operation strategy by adopting a multi-target adaptive weight distribution algorithm; when a fire characteristic signal is monitored, the multiple sets of fans are coordinated to form a relay type smoke exhaust airflow organization.

The invention provides an underground heat supply system based on an air energy heat pump as a heat source and a remote monitoring method, and the system comprises a heat source dynamic tuning subsystem which carries out the dynamic parameter optimization processing of environment temperature and energy storage state data, and obtains an air energy heat pump operation instruction; first characteristic adjustment of air energy heat pump output is formed through an air energy heat pump operation instruction, and matching of the temperature of an energy storage water tank and an environment heat source is achieved. The underground hot air accurate adjusting subsystem obtains underground real-time temperature data, the underground real-time temperature data is subjected to spatial thermal field calculation processing to obtain air volume demand parameters, and dynamic balance between the air supply intensity and the underground thermal environment is formed; and the multi-stage cooperative control center subsystem performs three-stage logic verification processing on the signals of the air energy heat pump operation instruction and the fan frequency instruction to obtain an equipment regulation and control instruction set. The underground intelligent heat supply system of the air energy heat pump, which has the environment self-adaption capability, the dynamic balance capability of a thermal field and the remote monitoring characteristic, is constructed.

The embodiment of the invention discloses a mine gas regulation and control method and device based on multi-modal data and a medium, and relates to the technical field of gas regulation and control, and the method comprises the steps that multi-source real-time sensing data, roadway point cloud data and CFD airflow simulation grid data in a target mine roadway are obtained, space-time alignment is carried out to determine a real-time roadway data cube, and the real-time roadway data cube is obtained; determining gas concentration field distribution and causal contribution popularity data in a preset future time window through a multi-mode depth causal model and the real-time roadway data cube; generating a risk field gradient feature vector based on gas concentration field distribution and causal contribution popularity data, and matching a decision path according to the risk field gradient feature vector; and when the decision path is a causal decision path, a fan / air door adjusting target point is determined, the fan / air door adjusting target point is simulated to determine a dynamic safety constraint boundary, a preset optimization objective function is solved to generate a fan rotating speed adjusting instruction and an air door opening degree control instruction, and fan / air door control is achieved.

The invention relates to the technical field of mine intelligent ventilation and poison filtration, and discloses a mine intelligent ventilation and poison filtration dynamic regulation and control method and system.The mine intelligent ventilation and poison filtration dynamic regulation and control method comprises the steps that a neural physical hybrid model is constructed, physical constraint conditions are combined with a deep neural network, and mine airflow field distribution is predicted; decomposing the neural physical hybrid model into three hierarchical sub-models, and deploying the three hierarchical sub-models to corresponding computing nodes to realize a hierarchical computing architecture; establishing a multi-level cooperation mechanism based on federal learning, and realizing distributed model training and optimization; constructing a task allocation decision model, and dynamically determining an optimal execution hierarchy of an airflow field calculation task according to task characteristics, resource states and real-time requirements; dynamically adjusting the precision and performance balance of airflow field calculation; according to the method, the key technical problems in the mine ventilation and poison filtration system are solved through the neural physical hybrid model, the multi-level distributed computing architecture and the federal learning collaboration mechanism.

The invention discloses a tunnel fire non-equilibrium control-smoke exhaust automatic adjustment control system and method, and belongs to the field of frequency conversion fan technology and tunnel fire control-smoke exhaust ventilation. The system comprises a data acquisition module, a data transmission module, a data processing and control algorithm module, a fan driving module and an emergency disposal module. The system dynamically and automatically controls the operation state of the smoke exhaust fan according to real-time fire smoke in the tunnel, and the exhaust air rate is reasonably adjusted. The abnormal environment parameters of the tunnel ceiling are collected through the sensing equipment, so that the approximate position of a fire in the tunnel and the real-time dynamic state of fire smoke spreading are obtained. And parameters such as the smoke front spreading speed and the smoke exhaust efficiency of the fan at the smoke exhaust port are obtained by applying an algorithm program to automatically control the start, stop and operation frequency of the fan. The interlocking arrangement of the emergency disposal module ensures that the other combinations are started under the condition that the exhaust air rate of one set of smoke exhaust port-smoke exhaust fan combination of the system is insufficient, fire smoke spreading is effectively controlled, and it is generally ensured that smoke is efficiently exhausted while the fire smoke is controlled within a safe range by the system.

The invention discloses an intelligent real-time monitoring regulation and control system for coal mine ventilation, and relates to the technical field of coal mine ventilation, through a ventilation duct layout analysis module, the system can construct pressure loss of each branch in a coal mine ventilation duct, and further analyze the relevance between the pressure loss and ventilation data information of a corresponding area; the analysis provides detailed air flow distribution and ventilation duct pressure loss data, accurate decisions can be made on layout optimization, pressure regulation and air flow distribution of the mine ventilation duct, and stability of air flow and balance of pressure in the mine are ensured. And dynamic prediction and evaluation of a mine stability index: the system fits and outputs the mine stability index through a mine performance analysis module in combination with the trained ventilation stability prediction model, and compares the mine stability index with a set stability threshold value to evaluate the stability of the mine in real time. When the mine ventilation system faces an unstable risk, the system can give out early warning in time.

The invention discloses a mine intelligent ventilation combined optimal adjustment and optimal control method and system. The method comprises the steps that S1, multi-source mine ventilation data are collected through a distributed multi-mode sonic sensor by adopting a gridding deployment strategy; s2, performing fusion optimization on the multi-source mine ventilation data by using a trust function theory to obtain comprehensive state data; s3, on the basis of the comprehensive state data, obtaining optimal preliminary regulation and control actions of different mine equipment through a self-adaptive reinforcement learning model; and S4, based on the optimal preliminary regulation and control action, introducing a roadway structure safety degree as a dynamic constraint factor, combining with an improved pigeon inspired optimization algorithm to obtain a final regulation and control action, and realizing underground ventilation control based on the final regulation and control action. The safety degree of the roadway structure is incorporated into a fitness function, so that the safety of the roadway structure is fully considered while the ventilation effect and the energy consumption are optimized by the algorithm.

The invention relates to the field of coal mine exhaust control, in particular to a coal mine exhaust control method and device based on environmental perception. The method comprises the following steps: acquiring multi-dimensional monitoring signals based on environment sensing sensors at multiple positions of a mine, performing distributed sensing marking, and constructing a global gas concentration sensing graph; the method comprises the following steps: acquiring position information of operating personnel in real time based on a miner positioning sensor, performing short-time movement prediction on the operating personnel, and generating a miner movement prediction path; obtaining a coal mine internal structure chart, and carrying out average oxygen consumption rate budget and instantaneous oxygen supply demand calculation based on the miner movement prediction path to obtain oxygen supply demand indexes of each unit; and according to the oxygen supply demand index of each unit, intelligent exhaust power calculation adjustment is carried out, and a conventional exhaust control strategy is constructed. Ventilation efficiency of the coal mine area is improved, emergency blast treatment is carried out under the risk condition, the risk problem response capacity is greatly improved, and safety of the coal mine area is enhanced.

The invention belongs to the field of coal mine rock burst and gas control, and relates to a high-gas coal seam mining method with cooperation of hydraulic fracturing pressure relief and high drainage roadway, which comprises the following steps: constructing a trend high drainage roadway, and constructing a hydraulic fracturing drill hole and fracturing in an air return crossheading; constructing layer-crossing drilling holes from the trend high drainage roadway to the air return crossheading; tunneling an air return crossheading and ventilating; performing hydraulic fracturing drilling and fracturing in the open-off cut; constructing a layer-penetrating hole from the end part of the trend high drainage roadway to the open-off cut; tunneling a cut hole and ventilating; the air return crossheading is connected with the air return main roadway; bedding drilling and fracturing are carried out in self-air-return crossheading construction; and hydraulic fracturing drilling and fracturing are conducted on the transportation crossheading, the transportation crossheading is tunneled and ventilated, and working face stoping is conducted. Pressure relief is carried out before roadway tunneling, a smooth air flow path can be formed before roadway tunneling and in the tunneling process to extract gas, newly generated gas on a tunnel face can be rapidly extracted, gas extraction can be continuously carried out during stoping, and safety of the whole production process is guaranteed.

The invention relates to the technical field of underground dust removal and ventilation, in particular to an underground driving working face ventilation and purification device and a use method.The underground driving working face ventilation and purification device comprises an air duct, a detection frame is arranged at the top of the air duct, a sensing system is arranged outside the detection frame, and a dust collection unit is arranged in an inner cavity of the air duct; compared with an existing ventilation and purification device for the driving working face, when air suction is conducted on the driving working face through an air duct, the head-on collecting assembly can accelerate the air suction speed of the air duct, on the other hand, the head-on collecting assembly can be close to the area, with large dust, of the driving face, accurate suction is achieved, and the dispersion speed of dust is reduced; dust in the air is removed from the underground driving working face through the atomization dust removal assembly; the head-on collecting assembly is close to the heading face of the dust raising position and assists the air duct in adsorbing and discharging air.

The invention relates to the technical field of mine ventilation equipment, and discloses coal mine dust removal ventilation equipment which comprises an air pipe, an air draft assembly used for air draft is arranged at the top of a bottom plate of an inner cavity of the air pipe, a collecting assembly used for dust removal is arranged in the air pipe, and the collecting assembly comprises a lower baffle and an upper baffle. The lower baffle and the upper baffle are fixed to one side of a bottom plate and one side of a top plate of an inner cavity of the air pipe correspondingly, an air cylinder is fixed to the surface of the middle position of the upper baffle, an output shaft of the air cylinder penetrates through the top of the air pipe, a linkage plate is rotationally connected to the top of the output shaft of the air cylinder, and a magnetic sheet set is inlaid in the bottom of the linkage plate. According to the exhaust fan, the activated carbon box set is arranged in the air pipe, when the exhaust assembly conducts exhaust type ventilation, after air enters the air pipe, dehumidification and dust removal are conducted through activated carbon particles in the activated carbon box set, the influence of dust and moisture on an impeller of the exhaust fan is reduced, and then the ventilation efficiency of the exhaust fan is improved.

The invention discloses a deep mine composite disaster risk prevention and control method, and relates to the technical field of mineral engineering and safety engineering, and the method comprises the following steps: constructing a ground stress disturbance recognition model, collecting deep rock stress change data in real time based on a multi-point stress sensor array arranged in a mine, and calculating the stress change data of the deep rock in real time; and a stress abrupt change point is identified through a dynamic sliding window algorithm. According to the invention, through disaster time sequence coupling modeling and cross trigger identification, accurate identification and early warning of a multi-disaster composite evolution path are realized, the defect of traditional single-disaster independent monitoring is made up, and the perspectiveness and accuracy of disaster prediction are improved. Meanwhile, in combination with a deep learning model and a multi-system linkage response mechanism, closed-loop control from risk assessment to intelligent response is realized, response time is greatly shortened, personnel and equipment losses are reduced, and a systematic and intelligent composite disaster prevention and control solution is provided for a deep mine.

The invention relates to the field of mines, in particular to a mine ventilation safety intelligent monitoring method. The method comprises the following steps: firstly, constructing a graph structure based on acquired mine information, optimizing spatial distribution of monitoring points in the graph structure through a monitoring point coverage efficiency function, and outputting an optimal monitoring point set; arranging sensors based on the optimal monitoring point position set; then, ventilation parameters are collected based on a sensor, and a state feature matrix is generated; constructing an adjacent matrix based on the state characteristic matrix; based on the state characteristic matrix and the adjacent matrix, calculating the abnormal probability of the monitoring point position; based on the abnormal probability, obtaining an early warning level; based on the abnormal probability, calculating three-dimensional coordinates of the hidden danger position through a gradient-guided air flow propagation positioning algorithm; and finally, based on the early warning level and the three-dimensional coordinate of the hidden danger position, executing a hierarchical automatic processing and response mechanism. The technical problems of incomplete monitoring coverage, poor data acquisition real-time performance, insufficient abnormal recognition capability and untimely early warning response are solved.

The invention relates to the field of coal mine equipment cooperative control, in particular to a multi-equipment cooperative control method and system for coal mine work. The method comprises the following steps: collecting mine multi-dimensional environment monitoring parameters in real time; environment change trend sensing and environment area distribution positioning are carried out, and an environment trend sensing distribution diagram is constructed; real-time operation state parameters of the drilling machine are obtained, maximum safe mining rate calculation and drilling power adjustment are carried out according to the environment trend perception distribution diagram, and maximum drilling power parameters are generated; according to the maximum drilling power parameter, the ore removal amount in the period is predicted, synchronous carrying coordination is carried out, and a dumper synchronous carrying coordination parameter is obtained; and calculating the latest depth of the drilling machine according to the environment trend perception distribution diagram, and performing environment air quality evaluation to generate a position air quality evaluation value of the drilling machine. By intelligently coordinating a plurality of pieces of coal mine equipment, the overall operation efficiency and safety of a coal mine are improved.

The invention provides a coal mine ventilation air methane synergistic enrichment and fluidized heat storage combustion system and method. The system comprises an air shaft diffusion tower and a ventilation air methane collecting device, the method comprises the following steps: collection and compression of ventilation air methane, cooling and boosting adsorption of an adsorption tower, pressure drop equalization of the adsorption tower, temperature rise, pressure reduction and desorption of the adsorption tower, pressure rise equalization of the adsorption tower, periodic cycle work of the adsorption tower, preheating of a packed bed of a heat storage furnace, fluidized heat storage oxidation of coal gangue and gas, and waste heat recovery and utilization. According to the invention, safe and efficient enrichment of ventilation air methane can be realized, and fluidized heat storage oxidation coupling utilization of concentrated gas and coal gangue particles can be realized; the oxidation waste heat is used as a generator heat source; the carbon reduction scheme of large-scale separation and concentration-synergistic oxidation-efficient utilization of the oversize coal mine ventilation air methane is formed, the coal industry is assisted to achieve the goal of'two wastes' and sustainable development, and large-flow, low-cost, safe and efficient treatment and utilization of the ventilation air methane discharged by an oversize low-gas mine can be achieved.

The invention relates to the technical field of tunnel engineering construction, in particular to a high and cold tunnel variable cross-section frozen soil thermal coupling safety hierarchical control construction method, which comprises the following steps: constructing a three-dimensional thermal coupling model considering frozen soil phase change characteristics based on an FLAC3d platform, and introducing a freezing frontal surface expansion speed prediction algorithm and ground temperature monitoring data to dynamically correct model parameters; a three-level safety threshold is established, a hierarchical control strategy is implemented, a pre-control period (heating and heat preservation), an excavation period (advanced small pilot tunnel and reverse top-picking expanding excavation) and a support period (asymmetric support) are divided, and a closed-loop system for monitoring, simulation, feedback and adjustment is established. The method comprises the following steps of: accurately regulating and controlling a temperature field, setting a phase change energy storage heat preservation layer, constructing a bionic drainage system, applying an intelligent construction platform with BIM (Building Information Modeling) and GIS (Geographic Information System) fused, integrating various sensing equipment for real-time monitoring, comparing monitoring data with a model prediction result, dynamically optimizing construction parameters and ensuring construction safety.

The utility model discloses a coal mine ventilation air door structure, which relates to the technical field of coal mine ventilation, and comprises a door frame and door plates, the inner side of the door frame is symmetrically provided with two groups of door plates, the bottom ends of the two groups of door plates are respectively provided with a rectangular groove, a sealing plate is accommodated in the rectangular groove, and a thread groove is arranged in the sealing plate. Through the arrangement of the sealing plate and the threaded rod, during use, filling of gaps between the bottom end of the door plate and the ground can be achieved through mutual matching of the sealing plate and the threaded rod, diffusion of harmful gas is prevented, normal drainage operation in a mine cannot be affected, and therefore the safety of the device during use can be effectively improved; and the U-shaped block and the rotating plate are arranged, in the using process, through mutual cooperation of the linkage block and the rotating plate, covering protection on the rotating rod and the rotating block can be achieved, dust and other sundries are prevented from being attached to the rotating block and the rotating rod, and therefore abrasion generated when the rotating rod rotates can be effectively reduced.

The invention relates to the field of metro platform smoke control, in particular to a metro platform screen door type smoke exhaust system based on a one-way closed smoke exhaust ventilation valve, which realizes communication between a metro platform space and a station tunnel space under a smoke exhaust working condition by arranging the one-way closed smoke exhaust ventilation valve above a platform screen door type top beam. A shielding door system mode is converted into an opening and closing type system mode for smoke exhaust scheme design, arrangement of a rail top air duct on a subway platform is avoided, and arrangement of a subway platform smoke exhaust system is simplified. The one-way closed smoke exhaust ventilation valve can meet the requirement that the train in the upstream section crosses the fire subway platform, smoke backflow is avoided, the control technology of the one-way closed smoke exhaust ventilation valve is simple, and manual or automatic control intervention can be avoided.

The invention relates to the technical field of mining local fan air duct air volume self-adaptive adjusting equipment, in particular to a mining local fan air duct air volume self-adaptive adjusting device. According to the technical scheme, the self-adaptive adjusting device for the air volume of the air duct of the mining local fan comprises a fan body, a radiator, an installation support, an electric adjusting air door, an air storage bin, the air duct, an environment detection module, an air speed detection module and a control module, the radiator is arranged on one side of the fan body, and the installation support is arranged on the bottom face of the fan body; an electric adjusting air door is arranged on one side of the ventilator main body; the environment sensing module is arranged, triple redundancy design is adopted, when the gas concentration is abnormal, whether the gas concentration is a spontaneous combustion symptom or not can be discriminated in combination with temperature data, or the coal rock collapse risk is pre-judged through the dust concentration change, and the safety interlocking response time is shortened.

The invention particularly relates to an underground ventilation system, and belongs to the technical field of ventilation. The underground ventilation system comprises an air duct and a plurality of sliding rail assemblies. Each sliding rail assembly comprises a sliding rail part, a sliding part and a guide ring, the sliding rail parts of the multiple sliding rail assemblies are in butt joint in sequence, guide grooves are formed in the left side and the right side of each sliding rail part respectively, the guide grooves penetrate through the sliding rail parts in the length direction of the sliding rail parts, each sliding part comprises two oppositely-arranged wall parts, the sliding rail parts are arranged between the two wall parts, and the wall parts are rotationally connected with pulleys. The pulley is contained in the guide groove, and the guide ring is arranged corresponding to the sliding part and connected to the sliding part. The air channel sequentially penetrates through the guide rings. The system has the advantage that the air duct position is convenient to adjust.

The invention discloses a coal mine intelligent ventilation optimization regulation and control method and system based on digital twinning, and belongs to the technical field of coal mine safety ventilation. The method comprises the following steps: determining a three-dimensional space topological relation of a coal mine ventilation system based on mine structure data, and mapping real-time ventilation state data to corresponding roadway nodes and branch paths to obtain a twin ventilation state; and performing simulation calculation based on a three-dimensional space topological relation to obtain a theoretical ventilation distribution state, comparing the twin ventilation state with the theoretical ventilation distribution state, determining an air volume deviation region and a gas concentration abnormal region, and obtaining ventilation deviation characteristics to perform virtual rehearsal. Determining an adjustment scheme meeting the ventilation demand constraint and the energy consumption constraint, and generating an optimization regulation and control instruction; and the entity ventilation facility is controlled to execute the adjustment action, and the three-dimensional space topological relation is updated through feedback data. Accurate regulation and dynamic optimization of the ventilation system are achieved, and the safety and the energy-saving effect of coal mine ventilation are improved.