An intelligent ventilation system and ventilation method for tunnel construction

Abstract

The present invention relates to an intelligent ventilation system and ventilation method for tunnel construction, comprising: a ventilation box and a control system, an axial flow fan located at the airflow inlet end of the ventilation box, an exhaust port structure located below the airflow outlet end of the ventilation box, and a dust filter, a hazardous gas treatment mechanism, and a control system arranged along the airflow direction and arranged in sequence in the ventilation box; an oxygen production mechanism is arranged at the exhaust port end of the ventilation box. The structural design of the airflow injection part in the intelligent ventilation system and method accelerates the delivery of fresh air inside the tunnel and lengthens the delivery distance of the fresh air. At the same time, the environmental conditions in the tunnel can be accurately monitored, and the relationship between various environmental parameters in the tunnel environment and the ventilation system controller can be established through the RBF neural network, so as to adaptively control the working state of the intelligent ventilation system and effectively reduce the energy consumption of the ventilation system.

Description

Technical Field

[0001] The present invention belongs to the technical field of tunnel and underground engineering ventilation, and in particular relates to an intelligent ventilation system and a ventilation method thereof for tunnel construction. Background Art

[0002] During the entire construction process of tunnels and underground projects, the working environment should meet occupational health and safety standards. The oxygen content in the air shall not be less than 20% by volume, the dust concentration shall not be greater than 2 mg per cubic meter of air containing more than 10% free silicon dioxide, and the mineral dust containing less than 10% free silicon dioxide shall not be greater than 4 mg per cubic meter of air; the maximum allowable concentration of carbon monoxide is 30 mg / m 3 , carbon dioxide by volume should not exceed 0.5%, and each person should be supplied with 4m of fresh air 3 / min.

[0003] However, as the project continues to advance, the length of the tunnel has gradually increased, and the ventilation ducts leading to the interior of the tunnel have become longer and longer. At this time, due to the power of the ventilation fan, it is becoming increasingly difficult to transport air to the distant tunnel construction face. At the same time, as the length of the ventilation duct increases, wind pressure loss will inevitably occur during the transportation process, which is not conducive to ensuring air circulation at the remote tunnel construction face. In addition, as the distance of tunnel construction becomes longer and longer, the harmful gases generated by the blasting in the tunnel during the tunnel construction process are not convenient to be transported out in time, resulting in poor air circulation at the tunnel construction location, affecting the health of construction workers.

[0004] In addition, a large amount of smoke and harmful gases are generated after blasting during construction, causing the air in the tunnel to be polluted and the air quality to be poor. The traditional ventilation method uses fresh air to dilute and remove the polluted air, but as the tunnel construction distance increases, a large amount of fresh air needs to be introduced, and the dilution effect becomes worse. In summer, the air temperature outside the tunnel is higher than the temperature of the mountain. The traditional ventilation method sends high-temperature outdoor air into the tunnel, which not only fails to cool down, but increases the air temperature in the tunnel. The traditional ventilation method uses a uniform air volume throughout the excavation cycle, which is bound to cause a waste of fan power and electricity resources. Moreover, there are still many problems with the current tunnel ventilation system, and the intelligent ventilation system has not yet really appeared. Summary of the invention

[0005] In view of the existing problems, the present invention provides an intelligent ventilation system and a ventilation method for tunnel construction. The intelligent ventilation system can accurately monitor the environmental conditions in the tunnel, and establish the relationship between various environmental parameters in the tunnel environment and the ventilation system controller through the RBF neural network, adaptively control the working state of the intelligent ventilation system, and effectively reduce the energy consumption of the ventilation system; when the tunnel environment is harsh, the air volume is quickly increased, the concentration of harmful gases is quickly reduced, and the tunnel environment is quickly improved; in actual application experiments, it is shown that the use of the intelligent ventilation system of the present invention can achieve an energy saving rate of 41.5% in the same construction area.

[0006] On the one hand, the present invention provides an intelligent ventilation system for tunnel construction, the intelligent ventilation system comprising: a ventilation box and a control system, an axial flow fan located at the air flow inlet end of the ventilation box, an exhaust port structure located below the air flow outlet end of the ventilation box, and a dust filter, a hazardous gas treatment mechanism, and a control system arranged in the ventilation box along the air flow direction and arranged in sequence; an oxygen production mechanism is arranged at the exhaust port end of the ventilation box;

[0007] The ventilation box is provided with a first O2 concentration detection sensor and a first hazardous gas concentration detection sensor on the outside near the air flow inlet end, the air outlet of the hazardous gas treatment mechanism is provided with a second hazardous gas concentration detection sensor, and the air inlet of the exhaust port structure is provided with at least one CO2 concentration detection sensor and at least two second O2 concentration detection sensors;

[0008] The first O2 concentration detection sensor, CO2 concentration detection sensor, second O2 concentration detection sensor, axial flow fan, exhaust port structure, hazardous gas treatment mechanism and oxygen production mechanism are all electrically connected to the control system; the control system includes an intelligent ventilation controller, the intelligent ventilation controller includes an adaptive controller for controlling the fan frequency of the axial flow fan, and the adaptive controller is an adaptive controller based on RBF neural network;

[0009] The exhaust outlet structure includes a base, an airflow injection part and a connecting part located between the base and the airflow injection part, all of which are detachably connected to the ventilation box body; the airflow injection part is an annular injection pipe formed by an airflow tube, and the inner cavity of the annular injection pipe is connected to the connecting part and the base, and the inner cavity is formed by a first tube shell surrounded in a horizontal direction, and the first tube shell has a blind end and an air outlet opening end, and a first surface and a second surface extend from the blind end to the air outlet opening end, and the free ends of the first surface and the second surface are curved hook-shaped, and the hook of the free end of the first surface faces the inner cavity and the blind end, and the hook of the free end of the second surface covers the outside of the first surface and forms the air outlet opening end of the airflow injection part between the first surfaces.

[0010] Furthermore, in the intelligent ventilation system described in the present invention, two of the airflow injection parts are symmetrically arranged side by side on the connecting part, and the blind ends of the two airflow injection parts are fixedly connected together.

[0011] Furthermore, in the intelligent ventilation system described in the present invention, the cross-section of the airflow pipe is drop-shaped, and the width of the blind end is smaller than the width of the air outlet opening end.

[0012] Furthermore, in the intelligent ventilation system described in the present invention, the maximum length of the water drop shape is L, the maximum width is c, the width of the air outlet opening end is a, and they satisfy a:c=1:(10~15); L:c=(2~3):1.

[0013] Furthermore, in the intelligent ventilation system described in the present invention, the hook at the free end of the first surface includes an end and a turn, the horizontal distance between the end and the turn is b, the straight-line distance between the bend and the second surface is d, and the horizontal distance between the end and the blind end is e, and d=(0.3~0.5)*c, e=(0.5~0.8)*L, b=(0.8~1.2)*(5a+d).

[0014] Furthermore, in the intelligent ventilation system described in the present invention, at least three airflow injection parts with the connecting parts are arranged on the base of the exhaust port structure, and each connecting part is connected to one surface of the base.

[0015] In the present invention, the connecting portion may be provided with two airflow ejecting portions symmetrically arranged side by side, and the blind ends of the two airflow ejecting portions are welded together.

[0016] In the present invention, the structural design of the airflow injection part of the exhaust structure utilizes Bernouy's theorem and the Coanda effect to accelerate the inflow of gas and ventilate the interior of the tunnel. The Coanda effect has only one-side diffusion, so compared with free classification, the velocity attenuation is smaller and the arrival distance becomes longer, thereby accelerating the delivery of fresh air inside the tunnel.

[0017] The intelligent ventilation system of the present invention monitors the real-time air condition of the detection sensor, and the intelligent system starts adaptively. The axial flow fan quickly sucks the polluted gas in the tunnel into the ventilation box. The polluted gas is transformed into fresh air that meets human health through the dust filter, the dangerous gas treatment mechanism, the oxygen production mechanism and the exhaust port structure, and is transported back to the tunnel. This avoids the harm caused by the failure to timely replace the air in the deep tunnel due to the long air supply formation.

[0018] Further, in the intelligent ventilation system of the present invention, the first hazardous gas concentration detection sensor and the second hazardous gas concentration detection sensor are both composed of a methane detection sensor, a CO detection sensor, an H2S detection sensor and a wind speed detection sensor;

[0019] During the training process of the RBF neural network of the adaptive controller, the number of nodes of the input layer and the output layer of the RBF neural network are 5 and 1 respectively, and the 5 nodes of the input layer are the methane concentration, CO concentration, H2S concentration, wind speed, and tunnel depth provided by the first hazardous gas concentration detection sensor respectively; the 1 node of the output layer is the fan frequency of the axial flow fan, and the transfer function of the hidden layer of the RBF neural network is a Gaussian kernel function.

[0020] Furthermore, in the intelligent ventilation system of the present invention, the input layer selects at least 8 groups of real measured data to train the RBF neural network.

[0021] Furthermore, in the intelligent ventilation system of the present invention, the intelligent ventilation controller further includes an oxygen and carbon dioxide concentration control module.

[0022] The oxygen and carbon dioxide concentration control module adjusts the operation and stop of the oxygen production mechanism according to the corresponding gas concentrations provided by the first O2 concentration detection sensor, the CO2 concentration detection sensor and the second O2 concentration detection sensor.

[0023] In the present invention, the oxygen and carbon dioxide concentration control module may also adopt RBF neural network to achieve adaptive control after training.

[0024] Furthermore, in the intelligent ventilation system described in the present invention, the hazardous gas treatment mechanism is a gas purification mechanism for treating methane, CO and H2S gases based on a hazardous gas adsorption method, and the hazardous gas treatment mechanism includes a detachable and replaceable adsorption structure.

[0025] The present invention establishes the relationship between various environmental parameters in the tunnel environment and the ventilation system controller through the RBF neural network, adaptively controls the working state of the intelligent ventilation system, and effectively reduces the energy consumption of the ventilation system; when the tunnel environment is harsh, the air volume is quickly increased, the concentration of harmful gases is quickly reduced, the tunnel environment is quickly improved, and ultimately the energy-saving effect is achieved.

[0026] Furthermore, in the intelligent ventilation system described in the present invention, the inner cavity of the base of the exhaust port structure is provided with a turbine that transports qualified airflow in the ventilation box body into the airflow injection part, and an airflow inflow mesh is provided on the surface where the base is connected to the ventilation box body.

[0027] Furthermore, in the intelligent ventilation system described in the present invention, the connecting part can drive the airflow injection part to rotate 360° in the same plane.

[0028] On the other hand, the present invention provides a construction tunnel ventilation method using the intelligent ventilation system described in any one of the above items, wherein in the tunnel under construction, a plurality of the intelligent ventilation systems are arranged at intervals on the top wall and side walls of the tunnel along the construction direction, the axial flow fan faces the construction direction, and the air outlet opening of the air flow injection part of the exhaust port structure faces the construction direction; the intelligent ventilation controller automatically adjusts the fan frequency of the axial flow fan, and automatically controls the opening and closing of the exhaust port structure and the oxygen production mechanism.

[0029] Compared with the prior art, the present invention has the following beneficial technical effects:

[0030] The intelligent ventilation system and ventilation method described in the present invention, wherein the structural design of the airflow injection part in the intelligent ventilation system accelerates the delivery of fresh air inside the tunnel and lengthens the delivery distance of fresh air. At the same time, the intelligent ventilation system and ventilation method of the present invention can accurately monitor the environmental conditions in the tunnel, and establish the relationship between various environmental parameters in the tunnel environment and the ventilation system controller through the RBF neural network, adaptively control the working state of the intelligent ventilation system, and effectively reduce the energy consumption of the ventilation system; when the tunnel environment is bad, quickly increase the air volume, quickly reduce the concentration of harmful gases, and quickly improve the tunnel environment; in actual application experiments, it is shown that the use of the intelligent ventilation system of the present invention can achieve an energy saving rate of 41.5% in the same construction area. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a structural schematic diagram of the intelligent ventilation system of the present invention;

[0032] Figure 2 This is a schematic diagram of the structure of the exhaust port in Example 1 of the present invention;

[0033] Figure 3 is a schematic diagram of the cross-sectional structure of the airflow injection portion in Example 1 of the present invention;

[0034] Figure 4 This is a schematic diagram of the cross-sectional dimensions of the airflow injection portion in Example 1 of the present invention;

[0035] Among them: 1. ventilation box, 2. axial flow fan, 3. dust filter, 4. hazardous gas treatment mechanism, 5. oxygen generation mechanism, 6. exhaust port structure;

[0036] 401, a second hazardous gas concentration detection sensor, 501, a second O2 concentration detection sensor, 502, a CO2 concentration detection sensor, 503, a first O2 concentration detection sensor, 504, a first hazardous gas concentration detection sensor, 601, a base, 602, a connecting portion, 603, an airflow injection portion;

[0037] 6031, blind end, 6032, second surface, 6033, first surface, 6034, air outlet opening end, 6035, inner cavity of the airflow injection portion. DETAILED DESCRIPTION

[0038] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation methods of the present invention are now described in detail with reference to the accompanying drawings. The described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. If the specific conditions are not specified in the specific implementation methods, they shall be carried out according to the conventional conditions or the conditions recommended by the manufacturer.

[0039] When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described exemplarily below do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims. The terms used in the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure. Embodiment 1:

[0040] like Figure 1~Figure 4 As shown, an intelligent ventilation system for tunnel construction of the present invention comprises: a ventilation box 1 and a control system, an axial flow fan 2 located at the air flow inlet end of the ventilation box 1, an exhaust port structure 6 located below the air flow outlet end of the ventilation box 1, and a dust filter 3, a hazardous gas treatment mechanism 4, and a control system arranged in the air flow direction and arranged in sequence in the ventilation box; an oxygen production mechanism 5 is arranged at the exhaust port end of the ventilation box 1;

[0041] The ventilation box 1 is provided with a first O2 concentration detection sensor 503 and a first hazardous gas concentration detection sensor 504 on the outer side near the air flow inlet end, the air outlet of the hazardous gas treatment mechanism 4 is provided with a second hazardous gas concentration detection sensor 401, and at least one CO2 concentration detection sensor 502 and at least two second O2 concentration detection sensors 501 are installed at the air inlet of the exhaust port structure 6;

[0042] The first O2 concentration detection sensor 503, the CO2 concentration detection sensor 502, the second O2 concentration detection sensor 501, the axial flow fan 2, the exhaust port structure 6, the hazardous gas treatment mechanism 4 and the oxygen production mechanism 5 are all electrically connected to the control system; the control system includes an intelligent ventilation controller, and the intelligent ventilation controller includes an adaptive controller for controlling the fan frequency of the axial flow fan 2, and the adaptive controller is an adaptive controller based on RBF neural network;

[0043] The exhaust outlet structure 6 comprises a base 601, an airflow jet part 603 and a connection part 602 located between the base 601 and the airflow jet part, which are all detachably connected to the ventilation box body 1; the airflow jet part 603 is an annular jet pipe formed by winding an airflow pipe, and the inner cavity 6035 of the annular jet pipe is connected to the connection part 602 and the base 601, and the inner cavity 6035 is formed by the first tube shell in the horizontal direction, and the first tube shell has a blind end 6031 and an air outlet opening end 6034. , a first surface 6033 and a second surface 6032 extend from the blind end 6031 to the air outlet opening end 6034, the free ends of the first surface 6033 and the second surface 6032 are curved hook-shaped, the hook of the free end of the first surface 6033 faces the inner cavity 6035 and the blind end 6031, the hook of the free end of the second surface 6032 covers the outer side of the first surface 6033 and forms the air outlet opening end 6034 of the airflow injection portion between the first surfaces 6033.

[0044] In the present embodiment 1, the cross section of the airflow tube is drop-shaped, and the width of the blind end 6031 is smaller than the width of the air outlet opening 6034. Two airflow injection parts 603 are symmetrically arranged side by side on the connecting part 602, and the blind ends 6031 of the two airflow injection parts 603 are fixedly connected together;

[0045] In this embodiment 1, Figure 4 As shown, the maximum length of the water drop shape is L, the maximum width is c, the width of the air outlet opening end 6034 is a, and they satisfy a:c=1:(10~15); L:c=(2~3):1.

[0046] The hook at the free end of the first surface includes an end and a turn, the horizontal distance between the end and the turn is b, the straight-line distance between the turn and the second surface is d, the horizontal distance between the end and the blind end is e, and d=(0.3~0.5)*c, e=(0.5~0.8)*L, b=(0.8~1.2)*(5a+d) is satisfied.

[0047] In some embodiments, at least three airflow injection parts 603 with the connecting parts 602 are disposed on the base 601 of the air outlet structure 6 , and each connecting part 602 is connected to the airflow injection part 603 .

[0048] In some embodiments, the first hazardous gas concentration detection sensor 504 and the second hazardous gas concentration detection sensor 401 are both composed of a methane detection sensor, a CO detection sensor, a H2S detection sensor, and a wind speed detection sensor;

[0049] During the training process of the RBF neural network of the adaptive controller, the number of nodes in the input layer and output layer of the RBF neural network are 5 and 1 respectively, and the 5 nodes of the input layer are the methane concentration, CO concentration, H2S concentration, wind speed, and tunnel depth provided by the first hazardous gas concentration detection sensor; the 1 node of the output layer is the fan frequency of the axial flow fan, and the transfer function of the hidden layer of the RBF neural network is a Gaussian kernel function.

[0050] In some implementations, the input layer selects at least 8 groups of real measured data to train the RBF neural network.

[0051] In some embodiments, the intelligent ventilation controller further includes an oxygen and carbon dioxide concentration control module, which adjusts the operation and stop of the oxygen production mechanism 5 according to the corresponding gas concentrations provided by the first O2 concentration detection sensor 503, the CO2 concentration detection sensor 502 and the second O2 concentration detection sensor 501.

[0052] In some embodiments, the oxygen and carbon dioxide concentration control module may also use a RBF neural network to achieve adaptive control after training.

[0053] In some embodiments, the hazardous gas treatment mechanism 4 is a gas purification mechanism for treating methane, CO and H2S gases based on a hazardous gas adsorption method, and the hazardous gas treatment mechanism includes a detachable and replaceable adsorption structure.

[0054] In some embodiments, the inner cavity of the base 601 of the exhaust port structure 6 is provided with a turbine for conveying the qualified airflow in the ventilation box 1 into the airflow injection part, and the surface where the base 601 is connected to the ventilation box 1 is provided with an airflow inflow mesh.

[0055] In some embodiments, the connecting portion 602 can drive the airflow injection portion 603 to rotate 360° in the same plane. Embodiment 2:

[0056] The present invention provides a construction tunnel ventilation method using an intelligent ventilation system as in the first specific implementation mode. In the tunnel under construction, a plurality of the above-mentioned intelligent ventilation systems are arranged at intervals on the top wall and the side walls of the tunnel along the construction direction. The above-mentioned axial flow fan 1 faces the construction direction, and the air outlet opening of the air flow injection part of the above-mentioned exhaust port structure 6 faces the construction direction; the above-mentioned intelligent ventilation controller automatically adjusts the fan frequency of the above-mentioned axial flow fan 1, and automatically controls the opening and closing of the exhaust port structure 6 and the oxygen production mechanism 5.

[0057] The present invention is described by the above-mentioned specific implementation methods and embodiments, and it should be understood by those skilled in the art that various changes and equivalent substitutions may be made to the present invention without departing from the scope of the present invention. The parts not described in detail in the present specification are known to those skilled in the art. In addition, various modifications may be made to the present invention for specific situations or specific circumstances without departing from the scope of the present invention. Therefore, the present invention is not limited to the disclosed specific embodiments, but should include all implementation methods falling within the scope of the claims of the present invention.

Claims

1. An intelligent ventilation system for tunnel construction, characterized in that: The intelligent ventilation system comprises: a ventilation box, an axial flow fan located at the air flow inlet end of the ventilation box, an exhaust port structure located below the air flow outlet end of the ventilation box, and a dust filter, a hazardous gas treatment mechanism, and a control system arranged in the ventilation box along the air flow direction and arranged in sequence; an oxygen production mechanism is arranged at the exhaust port end of the ventilation box; A first O2 concentration detection sensor and a first hazardous gas concentration detection sensor are arranged on the outer side of the ventilation box body near the air flow inlet end, a second hazardous gas concentration detection sensor is arranged at the air outlet of the hazardous gas treatment mechanism, and at least one CO2 concentration detection sensor and at least two second O2 concentration detection sensors are installed at the air inlet of the exhaust port structure; The first O2 concentration detection sensor, CO2 concentration detection sensor, second O2 concentration detection sensor, axial flow fan, exhaust port structure, hazardous gas treatment mechanism and oxygen production mechanism are all electrically connected to the control system; the control system includes an intelligent ventilation controller, the intelligent ventilation controller includes an adaptive controller for controlling the fan frequency of the axial flow fan, and the adaptive controller is an adaptive controller based on RBF neural network; The first hazardous gas concentration detection sensor and the second hazardous gas concentration detection sensor are both composed of a methane detection sensor, a CO detection sensor, a H2S detection sensor and a wind speed detection sensor; During the training process of the RBF neural network of the adaptive controller, the number of nodes of the input layer and the output layer of the RBF neural network are 5 and 1 respectively, the 5 nodes of the input layer are the methane concentration, CO concentration, H2S concentration, wind speed, and tunnel depth provided by the first hazardous gas concentration detection sensor respectively; the 1 node of the output layer is the fan frequency of the axial flow fan, and the transfer function of the hidden layer of the RBF neural network is a Gaussian kernel function; The intelligent ventilation controller also includes an oxygen and carbon dioxide concentration control module. The oxygen and carbon dioxide concentration control module adjusts the operation and stop of the oxygen production mechanism according to the corresponding gas concentrations provided by the first O2 concentration detection sensor, the CO2 concentration detection sensor and the second O2 concentration detection sensor; The exhaust outlet structure comprises a base detachably connected to the ventilation box body, an airflow injection part and a connecting part located between the base and the airflow injection part; the airflow injection part is an annular injection tube formed by an airflow tube, the inner cavity of the annular injection tube is connected with the connecting part and the base, the inner cavity is formed by a first tube shell surrounded in a horizontal direction, the first tube shell has a blind end and an air outlet opening end, a first surface and a second surface extend from the blind end to the air outlet opening end, the free ends of the first surface and the second surface are curved hook-shaped, the hook of the free end of the first surface faces the inner cavity and the blind end, the hook of the free end of the second surface covers the outside of the first surface, and the air outlet opening end of the airflow injection part is formed between the hook of the free end of the second surface and the first surface; the cross-section of the airflow tube is drop-shaped, and the width of the blind end is smaller than the width of the air outlet opening end; Two airflow ejection parts are symmetrically arranged side by side on the connecting part, and the blind ends of the two airflow ejection parts are fixedly connected together; The maximum length of the water drop shape is L, the maximum width is c, the width of the air outlet opening end is a, and they satisfy a:c=1:(10~15); L:c=(2~3):

1.

2. The intelligent ventilation system according to claim 1, characterized in that: The hook at the free end of the first surface includes an end and a turn, the horizontal distance between the end and the turn is b, the straight-line distance between the end and the second surface is d, and the horizontal distance between the end and the blind end is e, and d=(0.3~0.5)*c, e=(0.5~0.8)*L, b=(0.8~1.2)*(5a+d).

3. The intelligent ventilation system according to claim 2, characterized in that: At least three airflow injection parts are arranged on the base of the air outlet structure, and each connecting part is connected to the airflow injection part.

4. The intelligent ventilation system according to claim 3, characterized in that: The input layer selects at least 8 groups of real measured data to train the RBF neural network.

5. The intelligent ventilation system according to claim 4, characterized in that: The hazardous gas treatment mechanism is a gas purification mechanism for treating methane, CO and H2S gases based on a hazardous gas adsorption method, and the hazardous gas treatment mechanism includes a detachable and replaceable adsorption structure.

6. The intelligent ventilation system according to claim 5, characterized in that: The inner cavity of the base of the exhaust port structure is provided with a turbine for conveying qualified airflow in the ventilation box body into the airflow injection part, and the surface where the base is connected to the ventilation box body is provided with airflow inflow mesh holes.

7. The intelligent ventilation system according to claim 6, characterized in that: The connecting portion can drive the airflow injection portion to rotate 360° in the same plane.

8. A construction tunnel ventilation method using the intelligent ventilation system according to any one of claims 1 to 7, characterized in that: The method comprises the following steps: firstly, a plurality of the intelligent ventilation systems are arranged at intervals along the construction direction on the top wall and the side wall of the tunnel under construction, the axial flow fan is oriented in the construction direction, and the air outlet opening of the air flow injection part of the exhaust port structure is oriented in the construction direction; then, the control system is turned on, and the intelligent ventilation controller automatically adjusts the fan frequency of the axial flow fan, and automatically controls the opening and closing of the exhaust port structure and the oxygen production mechanism.

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