382 results about "Tunnel ventilation" patented technology

The invention relates to the technical field of tunnel ventilation control, in particular to a tunnel fan energy-saving control system which comprises a multi-parameter sensing module, an intelligent evaluation module, a dynamic prediction module, an energy-saving optimization module, a frequency conversion control module and an alarm emergency module. Wherein the multi-parameter sensing module is used for monitoring various environmental parameters in a tunnel in real time; the intelligent evaluation module is used for calculating the current ventilation demand; the dynamic prediction module is used for predicting the ventilation demand in a period of time in the future; the energy-saving optimization module is used for generating an optimal energy-saving control instruction; the frequency conversion control module is used for adjusting the operation frequency and speed of the fan according to the instruction; and the alarm emergency module is used for sending an alarm signal when an abnormal condition is detected. According to the invention, environmental parameters in the tunnel are monitored and intelligently managed in real time, a fan operation strategy is dynamically optimized, and the system has emergency response capability, so that the ventilation efficiency is remarkably improved, the energy consumption is reduced, and the construction safety is 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 relates to an intelligent ventilation system in a tunnel and a control method thereof, and belongs to the technical field of tunnel ventilation. The intelligent ventilation system in the tunnel comprises a data acquisition unit, a ventilation unit, a control unit, a data storage unit and a data analysis unit, wherein the data acquisition units are mounted in detection sections in a tunnel, and each data acquisition unit comprises a COVI detector, a wind speed and direction detector and a traffic flow detection module; when the CO concentration and the VI exceed threshold values, the ventilation unit is controlled to enter a corresponding working mode; the data analysis unit is used for generating an early warning model according to the data of the data storage unit, and the early warning model is used for obtaining CO concentration and VI data in the future # imgabs0 # time according to the wind speed and wind direction data, the traffic flow, the vehicle type, the fuel oil type data, the CO concentration and the VI change. According to the ventilation system, intervention can be conducted before the pollution concentration is increased, the period of insufficient ventilation is effectively avoided, and it is guaranteed that good air quality is always kept in the tunnel.

The present invention provides an automated control system and method for a mine ventilation system. The system comprises a precision sensor for key tunnel ventilation parameters, an automatic analysis and adjustment system for mine ventilation conditions, and a control feedback system for mine ventilation structures. The precision sensor for key tunnel ventilation parameters is used for real-time acquisition of key tunnel ventilation parameters and structure ventilation parameters of the mine ventilation system; a network solution simulation module is used for performing network solution on a three-dimensional dynamic visualization model to obtain the solved ventilation parameters; a scheme optimization decision module is used for determining an initial control scheme based on key tunnel ventilation parameters, structure ventilation parameters, and connection tunnel ventilation parameters; and based on the optimized three-dimensional dynamic visualization model, the initial control scheme is optimized to obtain a control decision scheme; and a mine ventilation structure control feedback system is used for receiving the control decision scheme and controlling ventilation equipment to perform ventilation adjustment.

The present application provides a control method and system for tunnel energy-saving ventilation based on fuzzy control, which relates to the technical field of tunnel ventilation. The method comprises: obtaining vehicle flow data in the current tunnel; obtaining predicted pollutant concentrations corresponding to the vehicle flow data and predicted required air volume corresponding to the predicted pollutants based on a traffic flow prediction model and a pollution diffusion model; inputting the predicted pollutant concentrations and predicted required air volume into the fuzzy control model to obtain the number of fans required for the current tunnel, thereby improving ventilation efficiency, reducing resource loss, improving road safety, and reducing operation and maintenance costs.

The invention belongs to the technical field of tunnel ventilation, and particularly relates to a ventilation device and method for deep-buried extra-long tunnel construction. Comprising a first ventilation square pipe which is vertically arranged, the first ventilation square pipe penetrates through the top of a tunnel and communicates with the exterior of the tunnel, a forward and reverse rotation fan is installed at the end, close to the exterior of the tunnel, of the first ventilation square pipe, and a conical dust outlet is formed in the end, away from the forward and reverse rotation fan, of the first ventilation square pipe; the conical dust outlet is provided and communicated with a dust collection container; filtering and ash removal are circularly carried out, ventilation and exhaust in the tunnel are achieved, and meanwhile the problem that a filter screen needs to be frequently maintained and replaced can be solved; according to the tunnel ventilation and dust removal device, exhaust and dust removal operation is conducted on one side of tunnel construction, the construction working environment is guaranteed, ventilation can be conducted on all positions of a tunnel, and it is guaranteed that fresh air is not polluted during ventilation while efficient dust removal is achieved in a ventilation and exhaust and dust removal separated treatment mode; the blocking probability of the filter screen plate can be reduced.

The invention relates to the technical field of tunnel ventilation control, in particular to a tunnel traffic volume and air demand prediction method based on a BP neural network. The method comprises the following steps: arranging a multi-layer sensor array of a tunnel vertical section according to tunnel structure parameters and traffic flow data; the method comprises the following steps: acquiring environmental parameters of a tunnel along a vertical direction by using a multi-layer sensor array, and integrating traffic flow data to obtain environment-traffic coupling data; performing environment-traffic working condition feature extraction and association according to the environment-traffic coupling data to obtain a vertical feature layer division map and a working condition-pollution response association matrix; and according to the vertical feature layer division map and the working condition-pollution response incidence matrix, carrying out pollutant migration dynamics calculation under the heat and humidity conditions to obtain a pollutant migration dynamics parameter set. According to the method, the tunnel vertical stratification pollutant load index is constructed, the air demand amount is predicted and optimally distributed, and the intelligent level and the operation efficiency of a tunnel ventilation system are remarkably improved.

The invention relates to the technical field of tunnel ventilation and environmental protection, in particular to an efficient and energy-saving tunnel ventilation and dust removal integrated system. Data analysis and decision making; ventilation control; dust removal operation; and sewage treatment. The intelligent sensing module is installed in the tunnel, environment parameters of different positions can be accurately obtained in real time and transmitted to the central control system, the efficient and energy-saving draught fan is selected, the frequency conversion and speed regulation device is installed, energy consumption is reduced, and by arranging the air filtering device and the dust falling device, the dust falling efficiency is improved. The dust collection device and the dust blocking device arranged at the tunnel portal effectively control the air environment quality in the tunnel, sewage purification and cyclic utilization are achieved through sewage treatment, and the system is high in intelligent degree, can be flexibly adjusted according to the actual situation and is suitable for popularization and application. The problems that a traditional ventilation and dust removal mode is high in energy consumption, poor in effect, lack of intelligent control and the like are effectively solved, the health of constructors is guaranteed, and pollution to the surrounding environment is reduced.

The invention relates to a tunnel ventilation system parameter optimization method based on neural network model driving, and the method comprises the steps: dividing a tunnel into a plurality of irregular grid nodes according to the three-dimensional geometrical characteristics, aerodynamic characteristics and pollutant distribution characteristics of the tunnel; constructing a nonlinear edge weight calculation function according to the spatial distribution data of the plurality of irregular grid nodes in combination with a pollutant diffusion coefficient, a real-time wind speed field and a spatial position relationship among the grid nodes, and generating an edge weight matrix representing interaction strength among the grid nodes; inputting the grid node information of the plurality of irregular grid nodes and the edge weight matrix into a space-time diagram neural network model to obtain multivariable space-time dynamic characteristics of the pollutants; according to the multivariable space-time dynamic characteristics, pollutant concentration overrun probabilities of the irregular grid nodes are determined; and according to the pollutant concentration overrun probability of the irregular grid nodes, ventilation regulation and control parameters of the tunnel ventilation system are optimized. The design of ventilation system parameters can be optimized.

The invention discloses a novel high-ground-temperature tunnel local ventilation cooling system, and relates to the technical field of high-ground-temperature tunnel ventilation, and the novel high-ground-temperature tunnel local ventilation cooling system comprises a temperature monitoring module, a cold air conveying starting module, a cold air output adjusting module, a regional cold air distribution module, an energy efficiency optimization module and a real-time monitoring and emergency response module; and the temperature monitoring module is used for arranging a temperature sensor network in the tunnel. The tunnel temperature is monitored in real time through the temperature sensor network and the model, cold air output is dynamically adjusted, and accurate cooling is ensured. The vortex tube array directly produces cold air by introducing high-pressure air, the cold air is conveyed to a cooling area through an air pipe, and exhausted hot air is subjected to energy recovery through a phase change heat absorption material or a hot air power generation system. The intelligent algorithm predicts the temperature trend, adjusts cold air in advance, and prevents potential safety hazards. And the real-time monitoring platform tracks the temperature and the equipment state, automatically alarms and executes emergency measures to ensure that the system operates in a safe range.

The invention discloses an ultra-long tunnel small and large fan air compression and supply coordinated ventilation method, and relates to the technical field of tunnel ventilation, and the method comprises the following steps: collecting tunnel environment parameters in real time, and generating a time-space associated environment parameter data set; a main and auxiliary fan performance attenuation model is combined to establish an air quantity coordination intelligent model, and air quantity dynamic distribution according to needs is achieved; frequency conversion air pressure adjustment, partition air volume supplement and air valve intelligent opening degree adjustment operation are executed; and a multi-parameter fusion deviation evaluation model is constructed, the spatial distribution deviation of the adjusted environmental parameters and target parameters is monitored in real time, fan control parameters are dynamically corrected based on a reinforcement learning algorithm, a self-adaptive ventilation adjustment closed loop is formed, and rapid air volume redistribution under the emergency working condition is carried out. According to the method, dynamic data processing, process adaptive air volume calculation, distance perception distribution, partition regulation and control, reinforcement learning optimization and a multi-dimensional emergency response technology are fused, and double improvement of dynamic cooperation of main and auxiliary fans of the ultra-long tunnel, ventilation energy efficiency and construction safety is achieved.

The invention belongs to the technical field of tunnel ventilation regulation and control, and particularly relates to a control method of a highway tunnel ventilation system based on wind speed. According to the invention, sensors are arranged at key positions of a tunnel, wind speed and environmental parameters are collected, and traffic flow detection is carried out by using video equipment and an SVM model. Then, a comprehensive evaluation function is defined according to the collected data to calculate ventilation requirements, and a ventilation mode is selected based on the ventilation requirements; thirdly, the opening degree of a ventilation opening and the speed of a draught fan are adjusted through a PID controller, so that the ventilation requirement is met. Finally, CFD software is used for simulating air flow, the ventilation opening layout and opening and closing time are optimized through a simulated annealing algorithm, and therefore ventilation efficiency optimization is achieved. In the whole process, accurate control and intelligent optimization of the tunnel ventilation system are achieved, the ventilation efficiency is improved, and the energy consumption is reduced.

The invention relates to the technical field of subway tunnel ventilation and smoke exhaust, and particularly discloses a fan movable type double-hole shared jet flow ventilation unit which comprises a shell and a control cabinet, the left side of the shell is located on a left line tunnel, the right side of the shell is located on a right line tunnel, and a fan section, an air pipe, an electric sliding rail and an air supply / exhaust port are arranged in the shell; the left line tunnel and the right line tunnel are both provided with segmented air pipes and air supply / exhaust outlets located in the front side and the rear side; the fan section comprises a two-way jet fan and a fan shell, the fan section is installed on the electric sliding rail, the electric sliding rail is transversely arranged along the tunnel, the fan section can be driven by the electric sliding rail to move to the segment position of the air pipe of the left line tunnel or the right line tunnel to complete butt joint, and air supply or air exhaust is achieved through the air supply / exhaust openings in the front side and the rear side. The fan section is installed on the electric sliding rail and can flexibly move between the left-line tunnel and the right-line tunnel, and the ventilation and smoke exhaust functions of single equipment on the double-hole tunnel are achieved.

The invention discloses a tunnel ventilation environment optimization method and system, a storage medium and electronic equipment, and belongs to the technical field of tunnel construction, and the method comprises the steps: S1, building a PID control system; s2, acquiring ventilation environment parameters of the tunnel; s3, optimizing control parameters of the PID control system in real time by using an RBF neural network to obtain an optimized PID control system; and S4, inputting the ventilation environment parameters into the optimized PID control system, and dynamically adjusting a driving system of the tunnel ventilation equipment through the optimized PID control system so as to optimize the tunnel ventilation environment. According to the invention, the limitation of the traditional PID control system in processing nonlinearity, time-varying characteristics and uncertainty is overcome, and the control precision and robustness of the PID control system are improved, so that the control precision of the PID control system on the driving system of the tunnel ventilation equipment is improved.

The invention provides a tunnel fire monitoring and ventilation and smoke exhaust linkage control system. The tunnel fire monitoring and ventilation and smoke exhaust linkage control system comprises a tunnel environment and fire monitoring module, a data fusion processing module, a tunnel ventilation and smoke exhaust linkage control module and a remote monitoring and control management system module which are connected through a communication network. The data fusion processing module is configured with a D-S evidence theory algorithm and is used for receiving multi-source environment data, calculating basic probability distribution of data of each sensor, quantitatively evaluating a fire occurrence probability through a combination rule and generating a fire state judgment result; the tunnel ventilation and smoke exhaust linkage control module is used for receiving the fire state judgment result and determining the target wind speed according to the fire scale; a fuzzy PID control unit and a hysteresis control unit are arranged in the tunnel ventilation and smoke exhaust linkage control module. According to the method, the problem of high false alarm rate of traditional monitoring is solved, the engineering problem that discrete ventilation equipment is difficult to continuously and accurately control is solved, and the disaster prevention and reduction capability of the tunnel is remarkably 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 the technical field of subway tunnel ventilation and smoke exhaust, and particularly discloses a self-adaptive double-tunnel shared ventilation and smoke exhaust device which comprises a shell and a control cabinet, the left side of the shell is located in a left tunnel, the right side of the shell is located in a right tunnel, and a bidirectional fan is arranged in the center of the shell; the left line tunnel and the right line tunnel are both provided with air supply / exhaust outlets located in the front end and the rear end of the shell, circular air pipes are arranged at the two ends of the two-way fan and connected with the air supply / exhaust outlets of the left line tunnel and the right line tunnel through Y-shaped air pipes, and the air supply / exhaust outlets in the front end share a front sliding baffle capable of sliding along the front rail. And the air supply / exhaust outlets at the rear end share a rear sliding baffle plate capable of sliding along the rear track. By sharing the ventilation and smoke exhaust equipment, the number and investment of the equipment can be greatly reduced, the operation cost can be reduced, the efficiency of the ventilation and smoke exhaust system can be improved, and reliable technical guarantee is provided for long-term operation and maintenance of the subway tunnel.

The invention provides a tunnel ventilation system control method and system based on artificial intelligence, and relates to the technical field of artificial intelligence. The method comprises the following steps: firstly, determining blast hole position distribution, blast hole size, blast hole detonation sequence and a rock stratum structure of a tunnel face on the basis of tunnel face image information; secondly, generating a tunnel face characteristic spectrum based on blast hole position distribution, blast hole sizes, a blast hole detonating sequence, a rock stratum structure of the tunnel face and the quantity of the explosive arranged in each blast hole on the tunnel face; then, inputting the tunnel face characteristic spectrum into a pre-trained blasting dust prediction model, and outputting the dust amount generated by tunnel face blasting by the blasting dust prediction model; and finally, the fan is controlled to work at the target output power based on the dust amount generated by tunnel face blasting. According to the scheme, the discharging time of dust generated by blasting can be accurately controlled, constructors are prevented from waiting for entering a site for a long time, and the tunnel construction efficiency is improved.

The utility model belongs to the technical field of tunnel ventilation, and aims to solve the problems that due to the influence of tunnel excavation sections and various construction racks, the space is limited and the material input is multiplied when two paths of independent air ducts are adopted in a gas tunnel. The multi-group parallel ventilation system for the gas tunnel comprises a standby ventilation unit and at least two main ventilation units, the standby ventilation unit comprises a standby fan and at least two standby air ducts, the standby air ducts are connected with the air outlet end of the standby fan, and the different standby air ducts are mutually independent; each main ventilation unit comprises a main fan and a main air duct connected to the air outlet end of the main fan, the different main ventilation units are mutually independent, and any main air duct communicates with a unique corresponding standby air duct; and the connecting part of the main air duct and the standby air duct is of an air return prevention structure. The system is simple in structure, and through the parallel ventilation structure, the standby fan can be immediately started to achieve ventilation in the tunnel after the main fan stops blowing due to maintenance, faults and the like.

The invention discloses a tunnel ventilation system and a control method thereof, and relates to the technical field of tunnel ventilation energy-saving control. According to the method, traffic data, environment data and equipment starting data in a tunnel are preprocessed and divided into data sets, a traffic prediction model based on LSTM and an environment prediction model based on full connection are constructed, and training is carried out through a root-mean-square error and an average absolute percentage error; and sequentially predicting traffic and environment data by using the model, and solving an optimal ventilation equipment combination through a sequential quadratic programming algorithm by taking energy consumption minimization as a target and environmental standard reaching as a constraint, and adjusting operation. The method has the advantages that advanced regulation and control are achieved through the two-stage prediction model, pollutants are prevented from exceeding the standard, and the air quality is guaranteed; dynamic training, multi-parameter optimization and a fault tolerance mechanism are combined, energy conservation and environment regulation and control are accurately balanced, meanwhile, the operation reliability and the intelligent level of the system are improved, and manual intervention is reduced.

The invention relates to the technical field of ventilation, in particular to a mixed ventilation device for construction in a subway tunnel, which comprises a first vertical shaft excavated and constructed on the tunnel, second vertical shafts for air exhaust are constructed on the left side and the right side of the first vertical shaft on the tunnel, and a plurality of axial flow fans are uniformly arranged in the tunnel. A jet fan is arranged in the first vertical shaft, and a negative pressure area is arranged on the lower side of the jet fan in an air inlet mode. The support assembly comprises an inner supporting frame, an outer mounting frame and a fixing frame and is used for fixing the jet fan in the negative pressure area; and the channel assembly communicates with the bottom of the jet fan and is used for increasing the flow speed of the air exhausted outwards from the negative pressure area. According to the tunnel ventilation system, air flow is effectively promoted, the concentration of silica dust, toxic gas, harmful steam and other pollutants in a tunnel can be remarkably reduced, and a healthier working environment is provided for operators by introducing fresh air and discharging vitiated air.

The invention relates to the technical field of tunnel ventilation, and discloses an internal combustion engine traction single inclined shaft railway tunnel ventilation mode determination method which comprises the steps that the piston wind speed when a train passes through a tunnel is calculated according to tunnel structure parameters and train operation parameters; determining the tail end position of the pollutant according to the piston wind speed; environment parameters are calculated according to the tunnel structure parameters, the train operation parameters and the pollutant tail end positions; dividing into three working conditions according to the position relation between the pollutant tail end position and the inclined shaft position, and matching corresponding ventilation mode combinations; for each ventilation mode in the ventilation mode combination, the total energy consumption of the system is calculated in combination with the piston wind speed and the environmental parameters; and selecting the ventilation mode with the minimum total energy consumption in the ventilation mode combination as a final scheme under the target working condition according to a comparison result of the total energy consumption of the system. According to the method, the appropriate ventilation mode can be accurately selected on the premise that pollutants are discharged in time, the ventilation energy consumption is reduced, and a calculation basis is provided for tunnel inclined shaft type ventilation.

The invention discloses a pumping and pressing combined mixed ventilation system for an extra-long tunnel and a construction method, and belongs to the technical field of tunnel ventilation. The extra-long tunnel comprises a flat pilot tunnel, a left tunnel and a right tunnel. The mixed ventilation system comprises a first axial flow fan, a second axial flow fan, a third axial flow fan, an air draft device, a detection device and a control device. Wherein the first axial flow fan is used for supplying fresh air to a tunnel face of a flat pilot tunnel, the second axial flow fan is used for supplying fresh air to a tunnel face of a left tunnel, the third axial flow fan is used for supplying fresh air to a tunnel face of a right tunnel, and the air draft device is used for exhausting dirty air in the left tunnel out of the tunnel; the detection device is used for detecting air parameters in the flat pilot tunnel, the left tunnel and the right tunnel, and the control device is used for controlling the first axial flow fan, the second axial flow fan, the third axial flow fan and the air draft device according to the detected air parameters. According to the method, a mixed ventilation mode combining pumping and pressing is adopted, the problem that the ventilation efficiency of an extra-long tunnel is greatly reduced along with deep tunneling is solved, and the cost is reduced.

The invention relates to the technical field of tunnel ventilation, and particularly discloses an energy-saving air duct design method, system, equipment and medium for a tunnel by using natural wind as ventilation power, and the method comprises the following steps: determining the direction and speed of the natural wind in the tunnel and the quantity of air passing through the energy-saving air duct according to natural wind data detected under the perennial meteorological conditions of the tunnel; determining the arrangement position of the energy-saving air duct according to the arrangement positions and geological characteristics of the electrical equipment, the control equipment and the fan; according to the section shape, the arrangement form and the wall surface material of the energy-saving air duct, the on-way resistance coefficient and the local resistance coefficient of the energy-saving air duct are determined; calculating the total resistance of the air duct, and determining the economic section of the energy-saving air duct according to the principle that the total resistance of the air duct is minimum. According to the method, natural wind is used as ventilation power for ventilation and energy conservation, the relation between the economic section and the total resistance loss is combined, the balance between civil engineering cost and the natural wind utilization rate is established, and a ventilation scheme which is more economical and higher in efficiency is obtained.

The utility model relates to a prefabricated middle partition wall structure of a tunnel ventilation inclined shaft. The prefabricated middle partition wall structure at least comprises a bottom supporting structure, a steel supporting assembly and a prefabricated modular wallboard. A positioning groove is formed in the top face of the bottom supporting structure, and the bottom of the steel supporting assembly is embedded into the positioning groove and fixed. The prefabricated modular wallboard is formed by splicing a plurality of prefabricated slabs, the adjacent prefabricated slabs are connected through tongue-and-groove structures which are matched in a concave-convex mode, and the tongue-and-groove joints are filled with sealing materials. The steel supporting assemblies are longitudinally arranged at intervals, and the tops of the steel supporting assemblies are fixed to a tunnel lining to form a steel-concrete combined structure for supporting the prefabricated modular wallboard. The steel supporting assembly and the prefabricated modular wall plate form a steel-concrete prefabricated structure, and the stability of the whole structure is enhanced. By adopting the autoclaved aerated concrete precast block material and the concave-convex groove embedded modular structure, the problems that the construction quality is difficult to control, the construction period is long, the on-way resistance of air flow is large and the like in the existing reinforced concrete mid-partition wall are solved.

The invention discloses a natural ventilation and mechanical ventilation interconvertible road tunnel ventilation system, which is arranged in a one-way driving road tunnel and comprises a tunnel road natural ventilation facility and a tunnel road mechanical ventilation facility, the tunnel road natural ventilation facility comprises a natural ventilation duct, a natural ventilation shaft and a natural ventilation valve; the tunnel road mechanical ventilation facility comprises a mechanical ventilation duct, a mechanical ventilation shaft, a mechanical ventilation valve and a ventilator. A natural ventilation opening of the one-way driving road tunnel is sequentially connected with a natural ventilation valve and a natural ventilation shaft through an air duct. The natural ventilation duct between the natural ventilation valve and the natural ventilation opening is sequentially connected with a tunnel mechanical ventilation valve, a ventilator and a mechanical ventilation shaft through a tee joint; the road tunnel mechanical ventilation valve and the ventilator are in a chain opening and closing relation. The invention provides a tunnel ventilation system which not only can meet the tunnel ventilation requirement, but also can solve the problems of land acquisition, landscape, environment and the like.

The invention provides an analog simulation experiment device for ventilation of a blind roadway. Comprising a ventilation roadway, an air duct arranged in the ventilation roadway, a moving device used for driving the air duct to move in the X-axis direction, the Y-axis direction and the Z-axis direction, an inclination device arranged at the bottom of the ventilation roadway and used for simulating an inclined roadway, and a monitoring device used for analyzing the migration rule of a simulation medium in the ventilation roadway. The air duct is connected with the Y-axis moving device through an air duct hanging device. By arranging an X-axis moving device, a Y-axis moving device and a Z-axis moving device, the air duct can freely change in three dimensions including the distance from the air duct to a lateral wall, the hanging height and the distance from the air duct to a head-on surface; the inclination of the ventilation roadway at different angles is realized by arranging the inclination device, so that an actual underground inclined roadway is simulated; and the monitoring device detects the working condition in the ventilation tunnel and analyzes and simulates the medium migration rule. According to the analog simulation experiment device for ventilation of the blind roadway, the experiment efficiency and the accuracy of experiment data can be effectively improved.

The invention provides a ventilation system for tunnel construction, relates to a tunnel ventilation technology, and particularly discloses a mounting main frame matched with a tunnel excavation section, a construction cavity is formed in the mounting main frame, and sealing structures used for sealing the construction cavity are arranged on the two sides of the mounting main frame; a driving mechanism is arranged on the mounting main frame and used for enabling the mounting main frame to move in the tunnel excavation direction; a plurality of ventilation pipes are mounted on the side, opposite to the tunnel excavation section, of the mounting main frame, a ventilation main pipe communicated with the ventilation pipes is mounted on the mounting main frame, and the ventilation main pipe is communicated with external air supply equipment; an air outlet communicated with the construction cavity is formed in the side wall, opposite to the tunnel excavation section, of the mounting main frame, a first pipeline is mounted on the mounting main frame, an air exhaust pipeline communicated with the air outlet is mounted in the construction cavity, and the output end of the first pipeline is opposite to the air outlet; a dust removal mechanism is arranged in the exhaust pipeline; and the air replacement efficiency in the area from the to-be-excavated face of the tunnel to the mounting main frame is improved.

The invention discloses a tunnel intelligent ventilation control method and system based on the Internet of Things, electronic equipment and a storage medium, and the method comprises the steps: collecting environment parameters in a tunnel, and determining a difference distribution condition and a local ventilation demand of a local environment region in the tunnel; based on the difference distribution condition, dividing the tunnel space into a plurality of independent control units, and performing feature extraction on the environmental parameters of each independent control unit to obtain a ventilation demand priority; on the basis of the ventilation demand priority, a regulation and control rule base based on a fuzzy control algorithm is constructed, and an air volume distribution scheme of each independent control unit is determined in combination with the local ventilation demand; based on the air volume distribution scheme, the independent control units are controlled to conduct ventilation, airflow interaction information of the adjacent independent control units is collected, and an airflow dynamic balance adjustment scheme is generated based on the airflow interaction information; and dynamically correcting the air volume of each independent control unit based on the airflow dynamic balance adjustment scheme to complete tunnel ventilation control.