236 results about "Ventilation control" patented technology

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 relates to a high-speed rail station building ventilation control method and system based on a physical information neural network, and the method specifically comprises the following steps: collecting related parameters of a high-speed rail station building, and carrying out the preprocessing; based on an electric field intensity theory, constructing a passenger space-time distribution function according to the preprocessed data to calculate dynamic heat source intensity; constructing a PINN model of 10 layers of MLP, and constructing a loss function according to physical constraints to train the PINN model; according to output of the PINN model, a control target is deduced in combination with ventilation parameters, and then ventilation of the high-speed rail station building is controlled; and comparing a derivation result with an actual condition, if the deviation is too large, performing fine adjustment on the PINN model, and correcting the output derivation result until the deviation is within a specified range. According to the method, related data are collected and converted into dynamic heat source items which can be identified by the PINN model, and the model is trained through physical constraints, so that the accuracy of a derivation result can be improved, and the ventilation control precision and the energy-saving effect of the high-speed rail station building are improved.

The invention relates to the field of ventilation control, in particular to an intelligent ventilation control method and system based on an intelligent laboratory, and the method comprises the steps: obtaining a to-be-controlled air volume sequence and a multi-dimensional to-be-controlled turbulence characteristic sequence of any region in a preset sampling period, and calculating a turbulence compensation coefficient of a target dimension, the turbulence contribution degree of any region in the target dimension is calculated; calculating a comprehensive product, calculating a first difference value between the air volume at the marked moment and the comprehensive product, and taking a mean value of the first difference values of all dimensions as an air volume correction value of any region at the marked moment; and taking a result of weighted summation of the air volume correction values of all the areas as comprehensive air volume, and inputting the comprehensive air volume into a laboratory PID controller to complete ventilation control. According to the technical scheme, the precision and timeliness of the ventilation control result can be improved.

The invention belongs to the technical field of tunnel construction, and particularly relates to a tunnel construction ventilation intelligent regulation and control method based on electrical automation. Distributed sensor arrays are deployed on a tunnel driving working face, a haulage roadway and a fan station through a multi-source heterogeneous sensor network, ventilation loads, environmental parameters, equipment states and construction event signals are collected in real time, and real-time and accurate original data support is provided for the system; a three-dimensional fluid mechanics-particulate matter diffusion coupling simulation model of a tunnel ventilation system is constructed, then a digital twin is used as a virtual training environment, an optimization instruction is converted into an electrical control signal, and a closed-loop PID-fuzzy coincidence controller dynamically compensates execution delay, controls operation of a fan and an air valve, and finally performs dynamic simulation on the tunnel ventilation system. And an execution result is fed back to the digital twin body for model calibration, so that finer and more efficient ventilation control is realized, the use problem in a high-altitude and alpine region environment is solved, the continuous effectiveness of ventilation regulation and control is effectively guaranteed, and the overall performance is improved.

The invention relates to a reinforcement learning-based granary ventilation energy consumption optimization system and method, in particular to the field of granary ventilation energy consumption optimization, and can effectively improve the intelligent level of granary ventilation control by setting a data acquisition and fusion module, a state space construction module, a reinforcement learning training module and a real-time decision and feedback module. Accurate perception and decision-making of a dynamic environment are realized through cooperative work of multiple modules, the system adaptively optimizes a ventilation strategy by using a reinforcement learning technology, energy consumption is remarkably reduced, meanwhile, it is ensured that the temperature and humidity in a granary are stabilized in a safe range, the grain mildew or qualitative change risk is avoided, and the system has high practicability. The online learning ability of the method can continuously adapt to external weather changes and grain condition dynamic states, closed-loop optimization is formed, and finally energy consumption minimization is achieved on the premise that grain storage safety is guaranteed.

The invention discloses a linkage system of a roadway air distribution device and a dust removal device and a control method, and belongs to the technical field of safety and environmental protection of mine / tunnel construction. The system comprises a long-pressure air control system, a short air draft dust collection system and an intelligent control module, the long-pressure air control system forms an airflow air wall through a long-distance air distribution device to restrain dust diffusion, the short-air-draft dust collection system captures dust through a short-distance dust collection cover, and the intelligent control module dynamically adjusts operation parameters of the long-pressure air control system and the short-air-draft dust collection system based on parameters such as dust concentration and air speed. The control method comprises the stages of dust suppression, capture, weak wind area removal and intelligent adjustment, and efficient dust removal is achieved through airflow collaborative optimization and a self-adaptive control algorithm. The dust collecting rate can be increased by 50% or above, energy is comprehensively saved by 20% or above, potential safety hazards in weak wind areas are eliminated, and the device is suitable for dust-producing scenes such as driving working faces and belt conveying roadways and has the advantages of being efficient, safe, capable of saving energy and wide in applicability.

The invention belongs to the technical field of building ventilation, and particularly discloses an intelligent building ventilation energy-saving system based on AI dynamic adjustment, and the system is characterized in that the system comprises a sensing layer which is used for collecting indoor and outdoor environment parameters in real time; the data transmission layer transmits various data acquired by the sensing layer to a central control system in real time through an Internet of Things communication technology, and is provided with a data caching mechanism; the central control system comprises a data processing module and is used for preprocessing the received data; the AI analysis module is used for establishing an indoor air quality prediction model, a personnel activity mode prediction model and a ventilation system energy consumption model by applying a machine learning algorithm; the control decision module generates an optimal ventilation control strategy; and the execution layer comprises a fresh air fan and an exhaust fan which adopt a frequency conversion technology, and an air supply outlet and an exhaust outlet which are provided with electric air valves, and further comprises a function of receiving a control instruction of the central control system and controlling ventilation equipment in real time.

The invention relates to the technical field of medical equipment, in particular to an edge calculation respirator system and method for adaptive ventilation control, and the system comprises a respirator end which is provided with an edge calculation module and a local control model; the edge calculation module is used for collecting multi-modal physiological parameters of a patient and performing data preprocessing on the multi-modal physiological parameters of the patient to generate a multi-dimensional feature vector; the local control model carries out real-time self-adaptive adjustment on ventilation parameters of the breathing machine based on the multi-modal physiological parameters of the patient and the baseline characteristics of the patient; the cloud server is in communication connection with the respirator end and is configured with a global optimization model; and the cloud server receives historical ventilation data of the respirator end, and the global optimization model performs training based on the historical ventilation data to generate a personalized ventilation strategy, and issues the personalized ventilation strategy to the respirator end for correcting adjustment of the local control model. According to the invention, low latency and high reliability of bedside control are guaranteed through a side cloud collaborative architecture.

The invention provides an underground coal mine ventilation control method and device, electronic equipment and a storage medium, and belongs to the technical field of mine ventilation. The method comprises the steps that the type and concentration characteristics of harmful gas in a target area are determined according to data collected by a biosensor array; determining time sequence data of the harmful gas according to the concentration of the harmful gas, and determining a target concentration change rate of the harmful gas according to the time sequence data; according to the concentration of the harmful gas, the target concentration change rate and the current underground acoustic wave characteristics of the coal mine, the target air volume of the target area is determined; according to the target air volume of the target area, the ventilation resistance of the target area and the current opening degree of the ventilation valve, the opening degree of the ventilation valve is controlled, and the ventilation air volume is determined. According to the coal mine underground ventilation control method and device, the electronic equipment and the storage medium, the ventilation quantity can be accurately and timely adjusted.

The invention relates to the technical field of coal mine ventilation control, and discloses a coal mine ventilation integrated control system based on intelligent scheduling. The system comprises an air door operation state monitoring module, a regional ventilation influence evaluation module and a global ventilation collaborative optimization module. The air door operation state monitoring module collects air door operation data such as air pressure, gas concentration, dust concentration, air speed and air door opening degree in real time through multi-source sensor arrays arranged on all air doors of a mine. The regional ventilation influence evaluation module performs abnormal influence quantitative evaluation on the independent ventilation region of the mine according to the real-time air door operation data to generate a regional influence identifier; and the global ventilation collaborative optimization module is combined with a mine topological structure, and performs global optimization calculation of a multi-air-door collaborative control strategy according to the regional influence identifier. The system achieves comprehensive perception, scientific evaluation and global cooperative control of the mine ventilation state, improves the operation efficiency of the ventilation system, guarantees the safety of underground operation of a coal mine, and is suitable for various coal mine ventilation scenes.

The invention belongs to the technical field of mine ventilation management and control, and particularly relates to an intelligent mine ventilation management and control method and system, and the method comprises the following steps: S1, data perception and fusion: collecting multi-source heterogeneous data from a ventilation facility, an environment sensor and a personnel positioning system through a multi-protocol data gateway, and generating a standardized data flow; s2, constructing and updating a digital twinborn body: driving and constructing the digital twinborn body of the mine ventilation system based on the standardized data flow; s3, intelligent deduction and decision making; s4, strategy execution and closed-loop control are carried out; and S5, edge autonomy. The heterogeneous data is integrated through the multi-protocol data gateway, and the standardized data stream is generated, so that a unified and high-quality data basis is provided for subsequent analysis, and the problem of information islands is solved. And the digital twin is dynamically calibrated based on real-time and feedback data, so that the simulation precision is remarkably improved, and the underground ventilation condition can be reflected more truly.

The application provides a kiln ventilation regulation device, comprising: a ventilation pipe; a protection shell is fixedly installed on the surface of the ventilation pipe, a connecting shell is fixedly installed on one side of the protection shell, a supporting plate is fixedly installed in the inner cavity of the ventilation pipe, a supporting rod is fixedly installed on the top of the supporting plate, and a supporting disc is fixedly installed on the top of the supporting rod. Through the design of the regulation assembly, the regulation assembly adopts a worm, a worm wheel, a rotating gear and an adjusting disc transmission structure, worm and worm wheel transmission improves stability, the rotating gear and the teeth can realize precise adjustment of the angle of the adjusting fan blade, the ventilation volume control error is reduced, the precision is improved compared with traditional manual adjustment, multiple adjusting fan blades are linked through adjusting rods and adjusting discs, the ventilation pipe inner cavity ventilation cross-sectional area can be changed synchronously, the airflow deflection problem of traditional single baffle adjustment is avoided, the kiln working condition rapid change demand is adapted, a sealing strip is arranged on the top of the adjusting fan blade, and heat loss caused by traditional baffle gap air leakage is avoided.

The invention relates to a highway tunnel ventilation and smoke exhaust device and method based on storage. The device comprises a gas storage space, a flow guide channel, a partition baffle, an axial flow fan and a ventilation control module. The partition baffles are arranged in the tunnel discharge flue and divide the tunnel discharge flue into multiple sections of ventilation flues, each section of ventilation flue is provided with a communicating opening, and the ventilation flues are communicated with a tunnel space through the communicating openings; each section of ventilation flue is communicated with the gas storage space through a flow guide channel, and the axial flow fan is mounted in the flow guide channel; the ventilation control module is in control connection with an axial flow fan, and ventilation flues at two ends of the tunnel discharge flue are respectively provided with an air supply and exhaust tower; when the tunnel traffic flow reaches a threshold value, the gas storage space stores waste gas in the tunnel space and supplies fresh air to the tunnel space; and when the traffic flow of the tunnel is smaller than a threshold value, fresh air is stored in the air storage space, and stored waste gas is exhausted. Compared with the prior art, the ventilation system has the advantages of small environmental influence, low ventilation energy consumption and the like.

The utility model provides a teaching device for a combustion three-factor contrast experiment, which is characterized in that the teaching device comprises a water tank (1) and a three-branch test tube (2) capable of being inserted into the water tank (1), the three-branch test tube (2) comprises a main tube (2a), one end of the main tube (2a) is communicated with a right branch tube (2b), a middle branch tube (2c) and a left branch tube (2d), and an opening at the other end of the main tube (2a) is provided with a plug cover (3). A gas pipe (4) and an oxygen detector (5) are arranged, one end of the gas pipe (4) is inserted into the main pipe (2a) through a plug cover (3), the other end of the gas pipe (4) is communicated with the oxygen detector (5), and a correspondingly matched ventilation control structure (6) is arranged on the gas pipe (4). The blackboard eraser is simple in structure and convenient to use, no toxic substance escapes when the blackboard eraser is used, harm to the bodies of teachers and students is reduced, and meanwhile the environment is protected.

The invention provides an automatic control device for mine ventilation and dust falling, and belongs to the technical field of ventilation control, the automatic control device comprises a dust collection cover body, pulleys are mounted at the bottom of the dust collection cover body, the dust collection cover body can move along sliding rails, and a controller, an electrostatic dust collection device, a ventilation device and an air return assembly are mounted in the dust collection cover body; the ventilation device comprises a ventilation plate, a cooling fan is installed on the ventilation plate and used for ventilation and cooling, an air return assembly is used for keeping smooth ventilation, the purpose of mine ventilation and dust fall automation is achieved, and therefore the overall energy consumption of stope ventilation is reduced.

The present application relates to the technical field of mine ventilation control, and particularly relates to a mine fan ventilation control method and system based on digital twinning. The method comprises data preprocessing on acquired mine monitoring data; feature extraction on the preprocessed mine monitoring data; prediction of the data feature and fan air volume relationship by using a random forest algorithm; calculation of the data feature and fan air volume relationship by using a digital twinning model to obtain a fan ventilation control strategy; and generation of a PLC control instruction based on the fan ventilation control strategy. Through multi-source data fusion and deep analysis, the real-time ventilation demand of the mine can be accurately grasped. Based on the random forest algorithm prediction and the digital twinning model calculation, dynamic and accurate adjustment of the fan air volume is realized, the harmful gas concentration in each region of the mine is maintained within a safety threshold, the oxygen content is sufficient, an ideal environment is created for personnel operation and equipment operation, and the safety and reliability of the ventilation system are significantly improved.

The invention provides a vehicle ventilation control method, device and equipment, a vehicle, a computer readable storage medium and a computer program product. The method comprises the steps that the in-vehicle temperature, the battery capacity and the external environment information of the vehicle are obtained; the external environment information comprises weather information and pollutant information; whether the execution condition of the ventilation function is met or not is judged according to the obtained in-vehicle temperature, the battery electric quantity and the external environment information; when the execution condition is met, an airflow channel of the in-vehicle air conditioner is controlled to communicate with the outside; in this way, the air quality in the vehicle can be improved, and breathing health of a user is protected.

This invention relates to the field of ventilation technology, specifically to a ventilation control method and system for coal mine roadways. It includes: obtaining the concentration of harmful gases in a target area based on the roadway environment; the target area includes at least one end of a first roadway and one end of a second roadway connected at a preset angle; the target area includes two equal-area first cross-sections and a second cross-section arranged sequentially along a first direction; based on a preset rule for the concentration of harmful gases in the target area, driving ventilation components located around the target area into an deployed state; before deployment, the ratio between the first fresh air flow rate Q1 of the first cross-section and the second fresh air flow rate Q2 of the second cross-section is greater than a first preset value; in the deployed state, the ratio between the first target flow rate QS1 of the first cross-section and the second target flow rate QS2 of the second cross-section is less than the first preset value. This solves the problem of safety hazards caused by the accumulation of harmful gases in coal mine roadways.

The present application relates to the technical field of medical apparatus and instruments, in particular to a ventilation trigger recognition method and system of an anesthesia machine and the anesthesia machine. The method comprises the following steps: step 1: collecting airway pressure waveform data and flow waveform data of the anesthesia machine; step 2: converting the collected airway pressure waveform data and flow waveform data into matrix data; step 3: inputting the matrix data into a trained convolutional neural network, and the convolutional neural network outputs a probability value based on the input matrix data; step 4: comparing the probability value with a threshold value, and determining whether the ventilation trigger condition is met; if the trigger condition is met, the anesthesia machine starts ventilation support. The present application can more accurately determine the trigger condition by analyzing the shape of the ventilation curve through the convolutional neural network, so as to realize more accurate and safe anesthesia ventilation control.

The present application relates to the technical field of roadway ventilation control, and particularly relates to an intelligent air door and air window remote linkage control device and method, the method comprising deploying a multi-point differential pressure sensing unit array in a target roadway in a coal mine to obtain a plurality of grid-distributed measuring points; using a preset sampling rate and time alignment algorithm to obtain a high-resolution wind pressure slope field of the target roadway in real time; presetting a time window to extract trend characteristics of a current air flow state; inputting the obtained trend characteristics into a pre-constructed measuring point confidence judgment model to obtain a confidence level of the measuring point, the confidence level comprising a low confidence level, a medium confidence level and a high confidence level. The intelligent air door and air window remote linkage control method provided by the present application relies on a slope field and confidence area determination mechanism, and automatically enters a protection state when the air flow is not reliable to block the occurrence of dangerous operations, thereby reducing the risk of secondary disasters such as gas accumulation and dust surge, and improving the safety guarantee level of underground workers.

This invention provides a ventilation and defogging system for integrated utility tunnel ventilation, relating to the field of ventilation control technology. The system further includes: a circulation pipe assembly fixedly connected to the main body of the utility tunnel and the ventilation shaft; and a mechanical ventilation component, the bottom of which is installed on top of a firewall, and the top of which is inserted into the ventilation shaft. Air within the main body of the utility tunnel is dehumidified and purified by the circulation pipe assembly, and then returned to the interior of the main body of the utility tunnel via the mechanical ventilation component. This isolates the external environment while achieving internal air circulation, dehumidification, and purification within the main body of the utility tunnel, thus optimizing the air quality inside the utility tunnel.

The utility model provides a greenhouse environment monitoring system, and belongs to the technical field of environment monitoring. The greenhouse environment monitoring system comprises a light intensity detection module, a dimming module, a temperature detection module, a high temperature comparison module, a low temperature comparison module, a heating control module, a ventilation control module and a main control module. The output ends of the light intensity detection module and the temperature detection module are connected with the main control module; the control end of the dimming module is connected with the output end of the light intensity detection module; the input ends of the high-temperature comparison module and the low-temperature comparison module are connected with the output end of the temperature detection module, the output end of the high-temperature comparison module is connected with the control end of the ventilation control module, and the output end of the low-temperature comparison module is connected with the control end of the heating control module; first ends of the high-temperature comparison module and the low-temperature comparison module are connected with a power supply, a second end of the high-temperature comparison module is connected with heating equipment, and a second end of the low-temperature comparison module is connected with ventilation equipment. According to the invention, precise control of the greenhouse environment can be realized.

The invention discloses a control method of a variable air volume ventilation air conditioner and an air conditioning system, and relates to the technical field of heating and ventilation control. According to the control method, the real-time evaporation temperature of the refrigerant is collected, the target evaporation temperature is updated, the total load, the real-time evaporation temperature and the target evaporation temperature are input into the load controller, the rotating speed error of the compressor is calculated, then the real-time current and the rotating speed error are input into the rotating speed controller, and the input current of the compressor is updated. In the control process of the variable air volume ventilation air conditioner, the feed-forward control part of the load controller is continuously updated. The feed-forward control part updated in real time comprises the magnetic resistance change of the compressor, the driving error is calculated when the compressor is dormant, the magnetic resistance coefficient of the rotating speed controller is updated, and the feed-forward control part is initialized according to the updated magnetic resistance coefficient, so that the control precision of the air conditioner compressor is improved.

The utility model relates to a tunnel ventilation equipment technical field, concretely is an intelligent tunnel ventilation control system based on stepless speed regulation technology. Include: wind speed sensor for real -time monitoring the wind speed in the tunnel, main control unit for receiving the data of wind speed sensor, calculates the fan speed regulation amount, and generates control instruction, stepless speed regulation drive module is connected with main control unit, realizes the smooth stepless regulation of fan blade rotating speed through the adjustment fan input voltage or frequency, feedback module is used for real -time monitoring the actual rotating speed and operating condition of fan, and the data is fed back to main control unit, forms closed -loop control, communication module, communication module connects feedback module, is used for realizing remote control and data interaction, storage module is used for storing wind speed, rotating speed and control instruction historical data, user interface is used for providing operation interface, and the user sets target wind speed through touch -sensitive screen or remote control equipment.

The invention discloses a positive pressure type anti-explosion industrial robot intelligent control method and device and a medium, and relates to the technical field of industrial robot positive pressure anti-explosion control. Calculating the positive pressure safety index of each grid point according to the grid point division of the working area, and carrying out grading marking to obtain a positive pressure safety grid; converting the positive pressure safety grid into a positive pressure safety guide graph which takes grid points as nodes and determines side cost according to a positive pressure safety index between adjacent grid points, and obtaining a path grid point sequence which has the minimum cost and avoids dangerous grid point nodes on the positive pressure safety guide graph through path search; and determining a ventilation gear and a speed gear in a grading manner according to the positive pressure safety index of each grid point in the path grid point sequence, converting the ventilation gear and the speed gear into a continuously executed robot motion instruction and a positive pressure ventilation control instruction, and forming an operation record. And the anti-explosion safety of the positive pressure type anti-explosion industrial robot is improved.

The utility model discloses a laboratory self-adaptive variable air volume ventilation control system, and relates to the technical field of laboratory ventilation equipment control. The system comprises a temperature and humidity sensor, a pressure difference detector, a harmful gas monitoring sensor, an infrared camera, a data caching module, a multiplexing switch, a data preprocessing module, a controller module, a man-machine interaction module, a clock module, a memory module, a data transmission module, a level conversion and pulse width adjustment circuit, a variable air volume adjusting valve and a power supply module. By arranging various monitoring sensors, the temperature and humidity in a room, the indoor pollution gas concentration, the indoor personnel condition, the indoor pressure condition and the like are monitored in real time, the stability of the indoor pressure can be effectively kept through the controller module, the air supply driving unit, the air supply adjusting valve and the air feeder, the indoor pressure is flexibly adjusted and controlled, the adjusting speed is high, and the indoor pressure can be effectively controlled. The effect is good, and the constant-pressure laboratory environment effectively ensures the health of indoor workers.

This invention discloses a mine ventilation control method, electronic equipment, and program product. The mine ventilation control method uses a built-in miniature sensor in the breathing mask to collect air quality parameters in the breathing zone of the breathing mask in real time, and simultaneously obtains the current location coordinates of the miner. The air quality parameters are used to calculate the real-time hazard level of the breathing zone by combining the corresponding safe thresholds for carbon monoxide concentration, fine particulate matter concentration, oxygen concentration, and the minimum safe wind speed when the particulate matter concentration exceeds the standard. When the preset hazard threshold is exceeded, the method generates and issues control commands for the rotation speed, damper angle, and / or airflow direction of the ventilation fans installed in the mine roadway, based on the miner's location coordinates, so as to minimize the hazard level in subsequent moments.

This application relates to the field of pollutant concentration prediction and control technology, specifically to a method for predicting pollutant concentration and controlling ventilation in tunnels traction by internal combustion locomotives. The method includes: collecting real-time multi-source data; determining a correction function by comparing the impact of pollutants on the environment with standard environmental conditions, and determining the instantaneous emission rate by combining the internal combustion engine power; constructing a three-dimensional model based on the pollution impact and instantaneous emission rate, and using this model to train a network to obtain prediction data; constructing an objective function by considering the frequency of the jet fan and the pollutant concentration under different decision variables, and optimizing the decision variables; and completing pollutant concentration control using the control parameters obtained from the decision variables. This application improves energy utilization efficiency.

The application provides a coal mine main fan frequency converter speed regulation method based on random wind speed field prediction. First, wind measuring points are arranged in underground stoping working faces, tunneling working faces and air shafts. According to various data monitored by the wind measuring points, information prediction is carried out, and a graph neural network is established to calculate air supply. According to the real-time air volume calculated by the graph neural network, the relationship between the control frequency of the main fan frequency converter and the real-time air volume is obtained, and the frequency converter control frequency is calculated. The beneficial effect is that the present application takes the random field as the theoretical basis, takes each key ventilation detection in the underground as the vertex of the random field, takes the ventilation detection result as the attribute of the vertex, establishes an underground ventilation control random field model, then establishes a field data prediction model to predict the future information of the wind field, thereby guiding the ventilation regulation of the main fan and effectively improving the response speed of the ventilation control.

The invention relates to the technical field of tunnel construction, in particular to a tunnel ventilation control method. Comprising the steps of establishing a ventilation model, and generating an initial ventilation strategy according to tunnel engineering parameters and the ventilation model; establishing a plurality of monitoring points according to the tunnel engineering parameters, and obtaining feedback data of each monitoring point; whether the initial ventilation strategy is corrected or not is judged according to all feedback data; the related parameters such as the air speed, the air volume and the harmful gas concentration in the tunnel are monitored in real time according to the preset adjusting period, the tunnel ventilation quantity is dynamically adjusted according to the preset ventilation model, it is ensured that the harmful gas concentration in the tunnel is always within the safety range, and therefore the health and safety of operators are protected. The ventilation model is constructed by combining multiple demand models, the minimum air volume can be calculated according to actual needs, unnecessary energy consumption is avoided, the operation cost of the ventilation system is reduced, and the ventilation efficiency is improved.