Remote monitoring of tunnel air quality during construction period and intelligent ventilation control system and method

Abstract

The present invention relates to remote monitoring of tunnel air quality during construction period and intelligent ventilation control system and method, and relates to the field of intelligent monitoring, which includes obtaining air detection parameters and adjacent detection parameters; calculating the difference between the air detection parameters and the adjacent detection parameters as the detection difference value; based on the situation that the detection difference value exceeds the reference difference value, controlling the mobile detection device to detect the air quality in the tunnel with a mobile detection path, and outputting the mobile detection parameter; obtaining the outside wind speed value at the tunnel entrance; matching the ventilation device number and the ventilation power value corresponding to the ventilation device number from the ventilation database according to the outside wind speed value and the mobile detection parameter; controlling the ventilation device corresponding to the ventilation device number to ventilate the tunnel with the corresponding ventilation power value. The present application has the effect of improving ventilation efficiency and reducing energy consumption.

Description

Technical Field

[0001] The present invention relates to the field of intelligent monitoring, and in particular to remote monitoring of tunnel air quality during construction and an intelligent ventilation control system and method. Background Art

[0002] Remote monitoring of tunnel air quality is a method that uses advanced sensor technology and communication technology to monitor and remotely transmit the air quality in the tunnel in real time.

[0003] Air quality management in tunnel construction is crucial to ensuring worker health and construction safety. Traditional tunnel ventilation systems usually rely on large mechanical equipment for ventilation.

[0004] Due to the lack of real-time monitoring and intelligent control technology, traditional ventilation systems are often unable to make quick adjustments based on actual air quality conditions, which not only reduces ventilation efficiency but also increases energy consumption, which needs to be improved. Summary of the invention

[0005] In order to improve ventilation efficiency and reduce energy consumption, the present invention provides a remote monitoring system and method for tunnel air quality during construction and an intelligent ventilation control system.

[0006] In the first aspect, the present invention provides a method for remote monitoring of tunnel air quality and intelligent ventilation control during construction, which adopts the following technical solutions:

[0007] A method for remote monitoring and intelligent ventilation control of tunnel air quality during construction period, comprising:

[0008] Acquire air detection parameters of a preset fixed detection area and air detection parameters of a fixed detection area adjacent to the fixed detection area, and define the acquired air detection parameters of the adjacent fixed detection areas as adjacent detection parameters;

[0009] Calculate the difference between the air detection parameter and the adjacent detection parameter as the detection difference value;

[0010] Based on the situation that the detected difference value exceeds the preset reference difference value, controlling the preset movement detection device to perform air quality detection in the tunnel along the preset movement detection path, and outputting movement detection parameters;

[0011] Obtain the preset external wind speed value of the tunnel entrance;

[0012] According to the external wind speed value and the movement detection parameter, the ventilation device number and the ventilation power value corresponding to the ventilation device number are matched from the preset ventilation database;

[0013] The ventilation device corresponding to the ventilation device number is controlled to ventilate the tunnel with the corresponding ventilation power value.

[0014] By adopting the above technical solution, the air quality in the tunnel can be known by understanding the excess between the detection difference value and the reference difference value. When the detection difference value exceeds the reference difference value, the ventilation power value and the ventilation device number can be known by understanding the mobile detection parameter and the external wind speed value, and then the ventilation device corresponding to the ventilation device number is controlled to ventilate the tunnel with the corresponding ventilation power value, thereby improving ventilation efficiency and reducing energy consumption.

[0015] Optionally, a preset corner ventilation method is also included, and the corner ventilation method includes:

[0016] Obtain tunnel morphology information of the mobile detection path;

[0017] Based on the fact that the tunnel shape information includes a preset curve shape, obtaining a curve curvature value;

[0018] Based on the situation that the curvature value of the curve exceeds the preset reference curvature value, the moving position of the equipment and the blowing angle value are matched from the ventilation database according to the curvature value of the curve;

[0019] Control the ventilation device to move to the device moving position, and control the ventilation device to adjust the direction to be consistent with the blowing angle value;

[0020] After the ventilation equipment is controlled to adjust its direction to be consistent with the blowing angle value, the ventilation efficiency is matched from the ventilation database according to the ventilation power value, the blowing angle value and the moving position of the equipment;

[0021] Matching the baseline required ventilation efficiency from the ventilation database according to the motion detection parameters;

[0022] Based on the situation that the ventilation efficiency is lower than the benchmark ventilation efficiency, the preset auxiliary blowing device is controlled to perform auxiliary ventilation with a preset auxiliary blowing intensity value.

[0023] By adopting the above technical solution, when the curvature value of the curve exceeds the reference curvature value, the ventilation efficiency in the tunnel is improved by controlling the ventilation equipment to move accordingly, thereby adjusting the blowing angle. And when the ventilation efficiency is lower than the reference ventilation efficiency, the auxiliary blowing equipment is controlled to perform auxiliary ventilation, thereby further improving the ventilation efficiency in the tunnel.

[0024] Optionally, a correction method for correcting the ventilation power value is also included, and the correction method includes:

[0025] Obtain tunnel image information;

[0026] Based on the fact that the tunnel image information contains preset vehicle features, the vehicle information is matched from a preset vehicle identification library according to the tunnel image information, and the vehicle speed and tunnel wind speed value are obtained;

[0027] Matching vehicle wind resistance information from a preset vehicle database according to vehicle information;

[0028] According to the vehicle wind resistance information, the vehicle driving speed and the tunnel wind speed value, the vehicle stirring wind speed value is matched from the vehicle database;

[0029] Matching a corrected ventilation power value from a ventilation database according to the vehicle stirring wind speed value;

[0030] Control the ventilation equipment to ventilate the tunnel with the correct ventilation power value.

[0031] By adopting the above technical solution, when a vehicle is driving in a tunnel, the vehicle stirring wind speed value can be known by understanding the vehicle wind resistance information, vehicle driving speed and tunnel wind speed value, and then the corrected ventilation power value can be matched, thereby ensuring the ventilation efficiency while reducing the energy consumption of the ventilation equipment.

[0032] Optionally, the correction method also includes:

[0033] Based on the fact that the tunnel image information contains vehicle features, the cargo loading of the vehicle is identified from a preset cargo identification library according to the tunnel image information and the vehicle features;

[0034] Based on the fact that the vehicle cargo load condition is consistent with the preset reference cargo load condition, cargo load wind resistance information is matched from a vehicle database according to the vehicle cargo load condition and vehicle wind resistance information;

[0035] According to the cargo wind resistance information, the vehicle speed and the tunnel wind speed value, the cargo stirring wind speed value is matched from the vehicle database;

[0036] Match the cargo ventilation power value from the ventilation database according to the cargo stirring wind speed value;

[0037] Control the ventilation equipment to ventilate the tunnel at the cargo ventilation power value.

[0038] By adopting the above technical solution, when the vehicle loading condition is consistent with the benchmark loading condition, the cargo wind resistance information can be matched by understanding the vehicle loading condition and the vehicle wind resistance information, and then the cargo stirring wind speed value can be known, thereby further reducing the energy consumption of the ventilation equipment.

[0039] Optionally, a preset air induction method is also included, and the air induction method includes:

[0040] When the mobile detection device detects along the mobile detection path, the air exchange rate in the tunnel is obtained;

[0041] Based on the situation that the air exchange rate is lower than the preset reference exchange rate, obtaining external wind direction information;

[0042] According to the external wind direction information and the preset tunnel opening size, the wind induction angle is matched from the preset air inlet database;

[0043] Control the preset air induction device to turn the direction to be consistent with the air induction angle, so as to control the air induction device to induct air, and update the air exchange rate after inducing air;

[0044] Based on the situation that the updated air exchange rate is still lower than the benchmark exchange rate, the wind speed value is matched from the ventilation database according to the updated air exchange rate and the benchmark exchange rate;

[0045] According to the wind force value, the size of the wind sail is matched from the preset wind database, and the wind sail preset on the mobile detection device is controlled to open to a size corresponding to the size of the wind sail, so as to add wind to the tunnel;

[0046] Based on the situation that the size of the added sail exceeds the preset maximum size of the added sail, the added sail is controlled to be opened to a size corresponding to the maximum size of the added sail, so as to add wind to the tunnel, and a prompt is reported.

[0047] By adopting the above technical solution, when the air exchange rate is lower than the reference exchange rate, the air induction device is used to introduce the natural wind from the outside into the tunnel, thereby improving the air exchange rate. And when the updated air exchange rate is lower than the reference exchange rate, the wind-adding sail on the mobile detection device is controlled to open to add wind to the tunnel, thereby improving the air exchange rate in the tunnel and further improving the ventilation efficiency in the tunnel.

[0048] Optionally, a method for treating fan blade contamination is also included, and the method comprises:

[0049] Acquire fan blade image information of the ventilation device;

[0050] Matching the fan blade contamination degree from a preset contamination database according to the fan blade image information and the preset contamination characteristics;

[0051] Matching the ventilation correction power value from the ventilation database according to the fan blade contamination degree and the preset fan blade size information;

[0052] Controlling the ventilation equipment to ventilate the tunnel with the ventilation correction power value, and obtaining the surrounding image information of the ventilation equipment;

[0053] Based on the situation that the surrounding image information does not contain the preset vehicle features, the cleaning device preset on the ventilation equipment is controlled to clean the fan blades.

[0054] By adopting the above technical solution, when the fan blades are dirty, the ventilation correction power value is known by understanding the fan blade dirtiness and fan blade size information, thereby ensuring the ventilation efficiency in the tunnel. And when the surrounding image information does not contain vehicle features, the cleaning equipment is controlled to clean the fan blades, thereby avoiding the impact on the vehicles passing below during cleaning.

[0055] Optionally, a preset dust collection method is also included, and the dust collection method includes:

[0056] When the fan blades are cleaned by the cleaning equipment, a residual value of the filter element of the preset filtering and dust collecting device is obtained;

[0057] According to the fan blade dirtiness and fan blade size information, the filter element requirement value is matched from the preset filter database;

[0058] Determine whether the remaining value of the filter element exceeds the required value of the filter element;

[0059] Based on the situation that the remaining value of the filter element exceeds the required value of the filter element, the filter dust suction device is controlled to absorb the dust dropped during cleaning;

[0060] Based on the fact that the remaining value of the filter element does not exceed the filter element requirement value and does not exceed the preset filter element baseline value, the preset collection device is controlled to open to collect dust dropped due to cleaning, and the suction device preset on the collection device is controlled to perform suction at a preset suction angle and a preset suction force value.

[0061] By adopting the above technical solution, the excess relationship between the filter element remaining value and the filter element required value is understood to know the dust collection method, thereby improving the dust collection efficiency.

[0062] Optionally, the dust collection method further comprises:

[0063] Based on the situation that the filter element remaining value does not exceed the filter element required value, but exceeds the filter element reference value, the difference between the filter element remaining value and the filter element required value is calculated as the filter element difference value;

[0064] According to the filter element difference value and the preset electrostatic dust collecting device size, the number of electrostatic dust collecting devices is matched from a preset dust collecting database;

[0065] Based on the situation that the number of electrostatic dust collecting devices is not greater than the preset reference number of electrostatic dust collecting devices, controlling the electrostatic dust collecting devices preset on the filtering dust collecting device and corresponding to the number of electrostatic dust collecting devices to be powered on;

[0066] After the electrostatic dust collector is powered on, the filtering dust collector is controlled to absorb the dust dropped by the cleaning, and after the absorption is completed, the electric field strength value of the electrostatic dust collector is obtained;

[0067] Based on the situation that the electric field strength value is lower than the preset reference strength value, a prompt to replace the device is reported.

[0068] By adopting the above technical solution, when the remaining value of the filter element does not exceed the required value of the filter element, and exceeds the reference value of the filter element, the dust collection method is known by understanding the size relationship between the number of electrostatic dust collectors and the reference number of electrostatic dust collectors. When collecting dust through an electrostatic dust collector, the use of the electrostatic dust collector is known by understanding the excess between the electric field strength value and the reference strength value. And when the electrostatic dust collector cannot further collect dust, a prompt for replacing the device is reported. The dust collection efficiency is improved.

[0069] Optionally, the vehicle stirring wind speed value needs to be calculated using a preset algorithm configuration, and the algorithm configuration is:

[0070] ,in, is the vehicle stirring wind speed value, is the tunnel wind speed value, is the vehicle drag coefficient, is the air density, is the vehicle speed.

[0071] By adopting the above technical solution and using the above algorithm configuration, the calculated vehicle stirring wind speed value is made more accurate, thereby improving the accuracy of the vehicle stirring wind speed value, thereby reducing energy consumption while ensuring ventilation efficiency.

[0072] In the second aspect, the present application provides a remote monitoring and intelligent ventilation control system for tunnel air quality during construction, which adopts the following technical solutions:

[0073] A remote monitoring and intelligent ventilation control system for tunnel air quality during construction period, comprising:

[0074] An acquisition module is used to obtain air detection parameters and external wind speed values;

[0075] A memory for storing a program of any of the above-mentioned methods for remote monitoring of tunnel air quality and intelligent ventilation control during construction period;

[0076] The program in the processor and the memory can be loaded and executed by the processor to realize any of the above-mentioned methods for remote monitoring of tunnel air quality and intelligent ventilation control during the construction period.

[0077] In summary, the present application includes at least one of the following beneficial technical effects:

[0078] 1. The air quality in the tunnel can be known by understanding the excess between the detection difference value and the benchmark difference value. When the detection difference value exceeds the benchmark difference value, the ventilation power value and ventilation device number can be known by understanding the mobile detection parameters and the external wind speed value, and then the ventilation device corresponding to the ventilation device number can be controlled to ventilate the tunnel with the corresponding ventilation power value, thereby improving ventilation efficiency and reducing energy consumption;

[0079] 2. When the air exchange rate is lower than the reference exchange rate, the air induction device is used to introduce the natural wind from the outside into the tunnel to increase the air exchange rate. When the updated air exchange rate is lower than the reference exchange rate, the wind-increasing sail on the mobile detection device is controlled to open to add wind to the tunnel, thereby increasing the air exchange rate in the tunnel and further improving the ventilation efficiency in the tunnel;

[0080] 3. When the remaining value of the filter element does not exceed the required value of the filter element, and exceeds the baseline value of the filter element, the dust collection method is known by understanding the size relationship between the number of electrostatic dust collectors and the baseline number of electrostatic dust collectors. When collecting dust through an electrostatic dust collector, the use of the electrostatic dust collector is known by understanding the excess between the electric field strength value and the baseline strength value. And when the electrostatic dust collector cannot collect dust further, a device replacement prompt is reported. The dust collection efficiency is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figure 1 This is a flow chart of a method for remote monitoring of tunnel air quality and intelligent ventilation control during construction period in an embodiment of the present invention;

[0082] Figure 2 is a method flow chart of a curved ventilation method according to an embodiment of the present invention;

[0083] Figure 3 is a method flow chart of a correction method in an embodiment of the present invention;

[0084] Figure 4 is a method flow chart of another correction method in an embodiment of the present invention;

[0085] Figure 5 is a method flow chart of the air induction method in an embodiment of the present invention;

[0086] Figure 6 is a method flow chart of a method for treating fan blade contamination in an embodiment of the present invention;

[0087] Figure 7 4 is a method flow chart of the dust collection method in an embodiment of the present invention. DETAILED DESCRIPTION

[0088] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0089] The embodiment of the present application discloses a method for remote monitoring of tunnel air quality and intelligent ventilation control during construction. When the air detection parameters in the tunnel are abnormal, the ventilation equipment is controlled to ventilate the tunnel. When the fan blades on the ventilation equipment are dirty, the cleaning equipment is controlled to clean the fan blades and collect the dust that falls off.

[0090] Reference Figure 1 , a method for remote monitoring and intelligent ventilation control of tunnel air quality during construction period, comprising the following steps:

[0091] Step 100: Acquire air detection parameters of a preset fixed detection area and air detection parameters of fixed detection areas adjacent to the fixed detection area, and define the acquired air detection parameters of the adjacent fixed detection areas as adjacent detection parameters.

[0092] A fixed detection area refers to a single area fixed in a tunnel for air detection. In the present embodiment, there are multiple fixed detection areas, and they are all set in advance by those skilled in the art, which will not be described in detail here. Air detection parameters refer to the concentration of particulate matter and gaseous pollutants in the air in the fixed detection area. Adjacent detection parameters refer to the air detection parameters of a fixed detection area adjacent to the current fixed detection area. Both the air detection parameters and the adjacent detection parameters are measured and obtained by a fixed monitoring system arranged in the fixed detection area. It is common knowledge for those skilled in the art that a fixed monitoring system measures air detection parameters, which will not be described in detail here.

[0093] Step 101: Calculate the difference between the air detection parameter and the adjacent detection parameter as the detection difference value.

[0094] The detection difference value refers to the difference value of the air detection parameters detected by two adjacent fixed detection areas. The detection difference value can be obtained by calculating the difference between the air detection parameter and the adjacent detection parameters.

[0095] Step 102: Based on the situation that the detected difference value exceeds the preset reference difference value, control the preset movement detection device to perform air quality detection in the tunnel along the preset movement detection path, and output movement detection parameters.

[0096] The reference difference value refers to the maximum difference value allowed between the air detection parameters detected by two adjacent fixed detection areas. The mobile detection device refers to a device used to perform mobile detection of air quality in a tunnel. The mobile detection path refers to the moving route of the mobile detection device when performing mobile detection in a tunnel. The reference difference value and the mobile detection path are both set in advance by those skilled in the art and will not be described in detail here. The mobile detection parameters refer to the particle concentration and gaseous pollutant concentration in the air at each position when the mobile detection device performs mobile detection in a tunnel. The mobile detection parameters can be obtained by controlling the mobile detection device to perform air quality detection in the tunnel along the mobile detection path.

[0097] When the detection difference value exceeds the benchmark difference value, it means that there is a large difference in the air detection parameters detected by the two adjacent fixed detection areas. It is necessary to control the mobile detection device to perform air quality detection in the tunnel along the mobile detection path and output the mobile detection parameters for subsequent steps.

[0098] Step 103: Obtain a preset external wind speed value at the tunnel entrance.

[0099] The tunnel entrance refers to the entrance of the tunnel. The external wind speed value refers to the wind speed of the natural wind around the tunnel entrance. The external wind speed value is measured and obtained by a wind speed sensor.

[0100] Step 104: Match the ventilation device number and the ventilation power value corresponding to the ventilation device number from a preset ventilation database according to the external wind speed value and the movement detection parameter.

[0101] The ventilation device refers to a device used to ventilate the tunnel. The ventilation device number refers to the number of the ventilation device. In the present embodiment, there are multiple ventilation devices, and each ventilation device has a corresponding ventilation device number. The ventilation power value refers to the power of the ventilation device when it is in operation. The ventilation database can be used to match the ventilation device number corresponding to the external wind speed value and the mobile detection parameter and the ventilation power value corresponding to the ventilation device number. It includes the corresponding relationship between the external wind speed value, the mobile detection parameter, the ventilation device number and the ventilation power value corresponding to the ventilation device number. The ventilation database is an artificially set database and will not be elaborated here.

[0102] Step 105: Control the ventilation device corresponding to the ventilation device number to ventilate the tunnel with the corresponding ventilation power value.

[0103] The ventilation device corresponding to the ventilation device number is controlled to start, and the tunnel is ventilated with the ventilation power value corresponding to the ventilation device number.

[0104] Reference Figure 2 , the bend ventilation method comprises the following steps:

[0105] Step 200: Obtain tunnel morphology information of the mobile detection path.

[0106] Tunnel morphology information refers to the geometric characteristics of the tunnel. Tunnel morphology information is obtained through preset total station measurement.

[0107] Step 201: Based on the fact that the tunnel shape information includes a preset curve shape, the curve curvature value is obtained.

[0108] The curve shape refers to the shape of the curve in the tunnel. The curve shape is set in advance by a person skilled in the art and will not be described in detail here. The curve curvature value refers to the curvature value of the curve part in the tunnel. The curve curvature value is obtained by measuring with a total station. When the tunnel shape information includes the curve shape, it means that there is a curve in the tunnel and the curve curvature value needs to be obtained for subsequent steps.

[0109] Step 202: Based on the situation that the curvature value of the curve exceeds the preset reference curvature value, the device movement position and the blowing angle value are matched from the ventilation database according to the curvature value of the curve.

[0110] The reference curvature value refers to the maximum curvature value that will not affect the ventilation efficiency in the tunnel when the ventilation equipment blows normally. The equipment moving position refers to the position to which the ventilation equipment needs to move. The blowing angle value refers to the angle at which the ventilation equipment blows air into the tunnel. The ventilation database can be used to match the equipment moving position and blowing angle value corresponding to the curvature value of the curve, which includes the correspondence between the curvature value of the curve, the equipment moving position, and the blowing angle value. When the curvature value of the curve exceeds the reference curvature value, it means that the curve will affect the efficiency of the ventilation equipment during ventilation, and the equipment moving position and blowing angle value need to be matched for subsequent steps.

[0111] Step 203: Control the ventilation device to move to the device moving position, and control the ventilation device to adjust the direction to be consistent with the blowing angle value.

[0112] Control the ventilation device to move to the device moving position, and adjust the direction of the ventilation device to be consistent with the blowing angle value.

[0113] Step 204: After the ventilation device is controlled to adjust its orientation to be consistent with the blowing angle value, the ventilation efficiency is matched from the ventilation database according to the ventilation power value, the blowing angle value and the moving position of the device.

[0114] Ventilation efficiency refers to the ratio of the amount of air that the ventilation equipment can exchange per unit time to the volume of the space. The unit time is set in advance by those skilled in the art and will not be elaborated here. The ventilation database can be used to match the ventilation power value, the blowing angle value, and the ventilation efficiency corresponding to the moving position of the equipment, which includes the corresponding relationship between the ventilation power value, the blowing angle value, the moving position of the equipment, and the ventilation efficiency. After adjusting the direction of the ventilation equipment to be consistent with the blowing angle value, the ventilation efficiency needs to be matched for subsequent steps.

[0115] Step 205: Matching the reference required ventilation efficiency from the ventilation database according to the movement detection parameters.

[0116] The base demand ventilation efficiency is the ventilation effect that the ventilation efficiency in the tunnel meets the basic demand. The base demand ventilation efficiency corresponding to the motion detection parameters can be matched through the ventilation database, which contains the corresponding relationship between the motion detection parameters and the base demand ventilation efficiency.

[0117] Step 206: Based on the situation that the ventilation efficiency is lower than the reference ventilation efficiency, the preset auxiliary blowing device is controlled to perform auxiliary ventilation with a preset auxiliary blowing intensity value.

[0118] Auxiliary blowing equipment refers to equipment used to improve air circulation in the tunnel to achieve the effect of auxiliary ventilation. The auxiliary blowing intensity value refers to the intensity of the auxiliary blowing equipment when blowing. The auxiliary blowing intensity value is set in advance by technicians in this field and will not be described here. When the ventilation efficiency is lower than the benchmark ventilation efficiency, it means that only using ventilation equipment to ventilate the tunnel is not enough to meet the ventilation needs of the tunnel, and the auxiliary blowing equipment needs to be controlled to perform auxiliary ventilation with the auxiliary blowing intensity value.

[0119] Reference Figure 3 , the correction method includes the following steps:

[0120] Step 300: Acquire tunnel image information.

[0121] Tunnel image information refers to the image inside the tunnel. Tunnel image information is obtained by taking pictures with a camera.

[0122] Step 301: Based on the fact that the tunnel image information contains preset vehicle features, the vehicle information is matched from a preset vehicle identification library according to the tunnel image information, and the vehicle driving speed and tunnel wind speed value are obtained.

[0123] Vehicle characteristics refer to the characteristics of the vehicle when it exists in the tunnel. The vehicle characteristics are set in advance by those skilled in the art and will not be described in detail here. Vehicle information refers to the model and appearance of the vehicle. Vehicle speed refers to the speed at which the vehicle moves in the tunnel. Tunnel wind speed value refers to the current wind speed value in the tunnel. The vehicle information corresponding to the vehicle characteristics contained in the tunnel image information can be identified and matched through the vehicle identification library, which contains the correspondence between vehicle characteristics and vehicle information. The vehicle identification library is an artificially set database and will not be described in detail here. The vehicle speed is measured and obtained by a speed meter. The tunnel wind speed value is measured and obtained by a wind speed sensor.

[0124] When the tunnel image information contains vehicle features, it means that there is a vehicle driving in the tunnel, and the vehicle can drive air circulation in the tunnel during driving. The vehicle information can be identified and matched through the tunnel image information for subsequent steps.

[0125] Step 302: Match the vehicle wind resistance information from a preset vehicle database according to the vehicle information.

[0126] Vehicle wind resistance information refers to the air resistance value encountered by the vehicle during driving. The vehicle wind resistance information corresponding to the vehicle information can be matched through the vehicle database, which contains the corresponding relationship between the vehicle information and the vehicle wind resistance information. The vehicle database is a manually set database and will not be described in detail here.

[0127] Step 303: Match the vehicle stirring wind speed value from the vehicle database according to the vehicle wind resistance information, the vehicle driving speed and the tunnel wind speed value.

[0128] The vehicle stirring wind speed value refers to the change in the speed of the surrounding air flow caused by the movement of the vehicle during driving. The vehicle wind resistance information, vehicle speed and vehicle stirring wind speed value corresponding to the tunnel wind speed value can be calculated, where is the vehicle stirring wind speed value, is the tunnel wind speed value, is the vehicle drag coefficient, is the air density, is the vehicle speed, It is obtained by technicians in this field by testing the vehicle wind resistance information in advance. It is measured in advance by those skilled in the art.

[0129] Step 304: Match a corrected ventilation power value from a ventilation database according to the vehicle stirring wind speed value.

[0130] The corrected ventilation power value refers to the value that needs to be corrected for the ventilation power value due to the existence of the vehicle stirring wind speed value, which drives the air circulation in the tunnel. The corrected ventilation power value corresponding to the vehicle stirring wind speed value can be matched through the ventilation database, which contains the corresponding relationship between the vehicle stirring wind speed value and the corrected ventilation power value.

[0131] Step 305: Control the ventilation equipment to ventilate the tunnel with the corrected ventilation power value.

[0132] The ventilation equipment is controlled to ventilate the tunnel with a corrected ventilation power value, thereby reducing the energy consumption of the ventilation equipment while ensuring the ventilation efficiency.

[0133] Reference Figure 4 , the correction method also includes the following steps:

[0134] Step 400: Based on the fact that the tunnel image information contains vehicle features, the cargo loading of the vehicle is identified from a preset cargo identification library according to the tunnel image information and the vehicle features.

[0135] The vehicle cargo situation refers to whether there is cargo on the vehicle. When the tunnel image information contains vehicle features, the cargo identification library is required to identify the vehicle cargo in the tunnel image information, and then obtain the vehicle cargo situation for subsequent steps. The cargo identification library contains the correspondence between the tunnel image information and the vehicle features and the vehicle cargo situation. The cargo identification library is a manually set database and will not be described in detail here.

[0136] Step 401: Based on the fact that the vehicle cargo loading condition is consistent with a preset reference cargo loading condition, cargo loading wind resistance information is matched from a vehicle database according to the vehicle cargo loading condition and vehicle wind resistance information.

[0137] The reference cargo load condition refers to the condition where cargo is loaded on the vehicle. The reference cargo load condition is set in advance by a person skilled in the art and will not be described in detail here. The cargo wind resistance information refers to the air resistance value encountered by the vehicle during driving after the vehicle is loaded with cargo. The vehicle database can be used to match the cargo wind resistance information corresponding to the vehicle cargo load condition and the vehicle wind resistance information, which includes the corresponding relationship between the vehicle cargo load condition, the vehicle wind resistance information and the cargo wind resistance information.

[0138] When the vehicle's cargo loading condition is consistent with the benchmark cargo loading condition, it means that cargo is loaded on the vehicle and the cargo wind resistance information needs to be matched for subsequent steps.

[0139] Step 402: Match the cargo stirring wind speed value from the vehicle database according to the cargo wind resistance information, the vehicle driving speed and the tunnel wind speed value.

[0140] The cargo stirring wind speed value refers to the speed change of the surrounding air flow caused by the movement of the vehicle when it is loaded. The cargo stirring wind speed value corresponding to the cargo wind resistance information, vehicle driving speed and tunnel wind speed value can be matched through the vehicle database, which contains the corresponding relationship between the cargo wind resistance information, vehicle driving speed, tunnel wind speed value and cargo stirring wind speed value.

[0141] Step 403: Match the cargo ventilation power value from the ventilation database according to the cargo stirring wind speed value.

[0142] The cargo ventilation power value refers to the value that needs to be corrected for the ventilation power value due to the existence of the cargo stirring wind speed value, which drives the air circulation in the tunnel. The cargo ventilation power value corresponding to the cargo stirring wind speed value can be matched through the ventilation database, which contains the corresponding relationship between the cargo stirring wind speed value and the cargo ventilation power value.

[0143] Step 404: Control the ventilation equipment to ventilate the tunnel with the cargo ventilation power value.

[0144] The ventilation equipment is controlled to ventilate the tunnel at the cargo ventilation power value, so as to reduce the energy consumption of the ventilation equipment while ensuring the ventilation efficiency.

[0145] Reference Figure 5 The air induction method comprises the following steps:

[0146] Step 500: Acquire the air exchange rate in the tunnel based on the movement detection device performing detection along the movement detection path.

[0147] The air exchange rate refers to the number of times the air in the tunnel is completely renewed per unit time. The unit time is set in advance by a person skilled in the art and will not be described in detail here. The air exchange rate can be known by measuring the increase or decrease in the carbon dioxide concentration in the tunnel through a carbon dioxide sensor. When the mobile detection device detects along the mobile detection path, the air exchange rate in the tunnel needs to be obtained for subsequent steps.

[0148] Step 501: Based on the situation that the air exchange rate is lower than a preset reference exchange rate, obtain external wind direction information.

[0149] The reference exchange rate refers to an air exchange rate value set to ensure that the air quality in the tunnel is in good condition. The reference exchange rate is set in advance by a person skilled in the art and will not be described in detail here. External wind direction information refers to the direction of the natural wind outside the tunnel. External wind direction information is obtained by measuring the wind vane set at the entrance of the tunnel. When the air exchange rate is lower than the reference exchange rate, it means that the air circulation in the tunnel is poor, and it is necessary to obtain external wind direction information for subsequent steps.

[0150] Step 502: Match the wind induction angle from the preset wind inlet database according to the external wind direction information and the preset tunnel entrance size.

[0151] The tunnel entrance size refers to the specific values ​​of the width and height at the tunnel entrance. The tunnel entrance size is set in advance by those skilled in the art and will not be elaborated here. The wind induced angle refers to the angle at which the wind induced device introduces the natural wind from the outside into the tunnel. The wind induced device refers to a device used to introduce the natural wind from the outside into the tunnel. The wind induced angle corresponding to the external wind direction information and the tunnel entrance size can be matched through the air intake database, which contains the correspondence between the external wind direction information and the tunnel entrance size and the wind induced angle. The air intake database is a manually set database and will not be elaborated here.

[0152] Step 503: Control the preset air induction device to turn the direction to be consistent with the air induction angle, so as to control the air induction device to induct the air, and after inducing the air, update the air exchange rate.

[0153] The ventilation device is controlled to turn its direction to be consistent with the ventilation angle, so as to control the ventilation device to induce air, and after the air is induced, the air exchange rate in the tunnel is obtained again, so as to update the air exchange rate for subsequent steps.

[0154] Step 504: Based on the fact that the updated air exchange rate is still lower than the reference exchange rate, the wind speed value is matched from the ventilation database according to the updated air exchange rate and the reference exchange rate.

[0155] The wind speed value refers to the value of increasing the wind speed in the tunnel. When the updated air exchange rate is still lower than the benchmark exchange rate, it means that relying solely on the natural wind from the outside to enter the tunnel cannot effectively improve the air circulation in the tunnel. It is necessary to match the wind speed value corresponding to the updated air exchange rate and the benchmark exchange rate through the ventilation database to improve the air circulation in the tunnel. The ventilation database contains the correspondence between the updated air exchange rate and the benchmark exchange rate and the wind speed value.

[0156] Step 505: Match the size of the wind sail from the preset wind database according to the wind force value, and control the wind sail preset on the mobile detection device to open to a size corresponding to the wind sail size, so as to add wind to the tunnel.

[0157] The size of the wind sail refers to the size of the wind sail used to increase the air circulation performance in the tunnel. The wind sail refers to a canvas used to increase the contact area between the mobile detection device and the air when the mobile detection device performs mobile detection on the tunnel. The wind sail size corresponding to the wind force value can be matched through the wind database, which contains the correspondence between the wind force value and the wind sail size. The wind database is a manually set database and will not be described here. The wind sail on the mobile detection device is controlled to open to a size corresponding to the wind sail size, so as to increase the contact area between the mobile detection device and the air during mobile detection, thereby adding wind to the tunnel. And when the wind sail is not needed, the wind sail will be stored in the mobile detection device.

[0158] Step 506: Based on the situation that the size of the sail exceeds the preset maximum sail size, the sail is controlled to be opened to a size corresponding to the maximum sail size to add wind to the tunnel, and a prompt is reported.

[0159] The maximum sail size refers to the maximum size to which the sail can be opened. The maximum sail size is set in advance by those skilled in the art and will not be elaborated here. When the sail size exceeds the maximum sail size, it means that even if the sail is opened to the maximum size, the air circulation in the tunnel cannot be improved to a good state. The sail is directly controlled to open to a size corresponding to the maximum sail size to add air to the tunnel and report the prompt. The good state of air circulation in the tunnel is set in advance by those skilled in the art and will not be elaborated here.

[0160] Reference Figure 6 The method for dealing with dirty fan blades includes the following steps:

[0161] Step 600: Obtain fan blade image information of the ventilation device.

[0162] The fan blade image information refers to the image of the fan blade on the ventilation device. The fan blade image information is obtained by taking a picture with a camera.

[0163] Step 601: Match the fan blade contamination degree from a preset contamination database according to the fan blade image information and the preset contamination features.

[0164] The dirt feature refers to the feature when dirt exists on the fan blade. The dirt feature is set in advance by a person skilled in the art and will not be described in detail here. The fan blade dirtiness refers to the degree of dust and other pollutants accumulated on the fan blade. The fan blade image information and the fan blade dirtiness corresponding to the dirt feature can be matched through the dirt database, which contains the correspondence between the fan blade image information and the dirt feature and the fan blade dirtiness. The dirt database is a manually set database and will not be described in detail here.

[0165] Step 602: Match the ventilation correction power value from the ventilation database according to the fan blade contamination degree and the preset fan blade size information.

[0166] The fan blade size information refers to the values ​​of the length and width of the fan blades of the ventilation device. The fan blade size information is set in advance by those skilled in the art and will not be elaborated here. The ventilation correction power value refers to the value corrected for the power required by the ventilation device after considering the actual operation of the ventilation device and various influencing factors. The ventilation correction power value corresponding to the fan blade turbidity and the fan blade size information can be matched through the ventilation database, which includes the correspondence between the fan blade turbidity and the fan blade size information and the ventilation correction power value.

[0167] Step 603: Control the ventilation equipment to ventilate the tunnel with the ventilation correction power value, and obtain surrounding image information of the ventilation equipment.

[0168] The surrounding image information refers to the image within the surrounding range of the ventilation equipment and includes the ground. The size of the surrounding range of the ventilation equipment is set in advance by those skilled in the art and will not be described in detail here. The surrounding image information is obtained by taking pictures with a camera. The ventilation equipment is controlled to ventilate the tunnel with the ventilation correction power value, and the surrounding image information of the ventilation equipment is obtained during ventilation for subsequent steps.

[0169] Step 604: Based on the fact that the surrounding image information does not contain the preset vehicle features, control the cleaning device preset on the ventilation device to clean the fan blades.

[0170] The vehicle feature refers to the feature when a vehicle exists in the tunnel. The vehicle feature is set in advance by a person skilled in the art and will not be described in detail here. The cleaning device refers to a device used to clean the dust on the blades of the ventilation device. When the surrounding image information does not contain the vehicle feature, it means that there is no vehicle passing under the ventilation device, and cleaning the blades on the ventilation device now will not affect the vehicles passing below. The cleaning device on the ventilation device can be controlled to clean the blades.

[0171] Reference Figure 7 , the dust collection method comprises the following steps:

[0172] Step 700: When the fan blades are cleaned by a cleaning device, a preset filter element remaining value of the filtering dust collecting device is obtained.

[0173] The filter dust collection device refers to a device used to absorb, collect and filter the dust that falls when cleaning the fan blades. The filter element remaining value refers to the remaining service life of the filter element in the filter dust collection device. The filter element remaining value is obtained by scanning the RFID chip set on the filter element, and the content after scanning the RFID chip corresponds to the filter element remaining value. When the cleaning equipment cleans the fan blades, the filter element remaining value of the filter dust collection device needs to be obtained for subsequent steps.

[0174] Step 701: Match the filter element requirement value from a preset filter database according to the fan blade dirtiness and fan blade size information.

[0175] The filter element requirement value refers to the remaining service life of the filter element that needs to be achieved in order to completely absorb the dust that falls on the fan blades. The filter element requirement value corresponding to the fan blade turbidity and fan blade size information can be matched through the filter database, which contains the correspondence between the fan blade turbidity and fan blade size information and the filter element requirement value. The filter database is a manually set database and will not be described in detail here.

[0176] Step 702: Determine whether the filter element remaining value exceeds the filter element required value.

[0177] By judging whether the remaining value of the filter element exceeds the required value of the filter element, it can be known whether all the dust can be absorbed by using only the filter element in the filtering dust collection device.

[0178] Step 7021: Based on the situation that the remaining value of the filter element exceeds the required value of the filter element, the filtering dust suction device is controlled to absorb the dust that falls after cleaning.

[0179] When the remaining value of the filter element exceeds the required value of the filter element, it means that only the filter element in the filtering dust suction device can absorb all the dust, and the filtering dust suction device can be directly controlled to absorb the dust that falls during cleaning.

[0180] Step 7022: Based on the fact that the remaining value of the filter element does not exceed the filter element requirement value and does not exceed the preset filter element baseline value, the preset collection device is controlled to open to collect dust dropped due to cleaning, and the suction device preset on the collection device is controlled to perform suction at a preset suction angle and a preset suction force value.

[0181] The filter element reference value refers to the numerical indicator that the filter element is completely unusable. The collection device refers to the device used to collect dust that falls when cleaning the fan blades. The suction device refers to the device used to suck dust into the collection device. The suction angle refers to the angle at which the suction device sucks dust. The suction force value refers to the force value when the suction device sucks dust. The filter element reference value, suction angle and suction force value are all set in advance by those skilled in the art and will not be described in detail here.

[0182] When the remaining value of the filter element does not exceed the filter element requirement value and the filter element baseline value, it means that the filter element is completely unusable and other dust collection devices need to be controlled to collect the dust. Therefore, the collection device can be controlled to open to collect the dust dropped due to cleaning, and the suction device on the collection device can be controlled to suck air at the suction angle and suction force value to more accurately put the dust dropped during cleaning into the collection device. And when the collection device is not in use, the collection device is in a storage state.

[0183] The dust collection method further comprises the following steps:

[0184] Step 800: Based on the fact that the filter element remaining value does not exceed the filter element required value but exceeds the filter element reference value, the difference between the filter element remaining value and the filter element required value is calculated as the filter element difference value.

[0185] The filter element difference value refers to the value that is still missing after the service life of the filter element is completely used up. The filter element difference value can be obtained by calculating the difference between the filter element remaining value and the filter element required value. When the filter element remaining value does not exceed the filter element required value and exceeds the filter element reference value, it means that the current filter element still has a certain service life and cannot completely absorb dust. The filter element difference value needs to be calculated for subsequent steps.

[0186] Step 801: Match the number of electrostatic precipitator devices from a preset dust collection database according to the filter element difference value and the preset electrostatic precipitator size.

[0187] The size of the electrostatic dust collector refers to the size of the device used for electrostatic dust removal technology. The electrostatic dust collector refers to a device that absorbs dust by using electrostatic technology. The number of electrostatic dust collectors refers to the number of electrostatic dust collectors that need to be used. In this embodiment, there are multiple electrostatic dust collectors.

[0188] The filtering dust collecting device includes a dust collecting part and a pipe part. Dust will enter the dust collecting part through the pipe part. The electrostatic dust collecting device is installed in the pipe part. The dust collecting database can match the filter element difference value and the number of electrostatic dust collecting devices corresponding to the size of the electrostatic dust collecting device. It includes the correspondence between the filter element difference value and the size of the electrostatic dust collecting device and the number of electrostatic dust collecting devices. The dust collecting database is a manually set database and will not be described here.

[0189] Step 802: Based on the fact that the number of electrostatic dust collecting devices is not greater than a preset reference number of electrostatic dust collecting devices, the electrostatic dust collecting devices preset on the filtering dust collecting device and corresponding to the number of electrostatic dust collecting devices are controlled to be powered on.

[0190] The reference number of electrostatic dust collectors refers to the maximum number of electrostatic dust collectors. The reference number of electrostatic dust collectors is set in advance by those skilled in the art and will not be described in detail here. By determining whether the number of electrostatic dust collectors is greater than the reference number of electrostatic dust collectors, it is known whether the dust can be completely collected by using electrostatic dust collectors to assist in collecting dust.

[0191] When the number of electrostatic dust collectors is not greater than the reference number of electrostatic dust collectors, it means that the dust can be completely collected by using the electrostatic dust collectors corresponding to the number of electrostatic dust collectors. The electrostatic dust collectors preset on the filtering dust collection device and corresponding to the number of electrostatic dust collectors are directly controlled to be powered on, so that the electrostatic dust collectors generate static electricity for subsequent steps.

[0192] Step 803: After the electrostatic dust collector is powered on, the filtering dust collecting device is controlled to absorb the dust dropped after cleaning, and after the absorption is completed, the electric field strength value of the electrostatic dust collector is obtained.

[0193] The electric field strength value refers to the electrostatic strength value on the electrostatic dust collector. The electric field strength value is obtained through the electric field sensor. After the electrostatic dust collector is powered on, the filter dust suction device is directly controlled to absorb the dust that falls off after cleaning, so that the dust can be partially absorbed in the pipeline, so that the filter element can completely collect the remaining dust. After the dust is completely collected, the electric field strength value of the electrostatic dust collector is obtained for subsequent steps.

[0194] Step 804: Based on the situation that the electric field strength value is lower than the preset reference strength value, a device replacement prompt is reported.

[0195] The reference strength value refers to the minimum value that the electric field strength value needs to reach. The reference strength value is set in advance by a person skilled in the art and will not be described in detail here. The device replacement prompt refers to a prompt that the electrostatic dust collector needs to be replaced. When the electric field strength value is lower than the reference strength value, it means that the electrostatic dust collector can no longer collect dust and a device replacement prompt needs to be reported to prompt the staff to replace the electrostatic dust collector.

[0196] When the number of electrostatic dust collectors is greater than the reference number of electrostatic dust collectors, it means that even if all electrostatic dust collectors are used, the dust cannot be completely collected. The electrostatic dust collectors corresponding to the reference number of electrostatic dust collectors can be powered on to generate static electricity. At the same time, the collection device can be controlled to open in advance. After the collection device is opened, the filter dust suction device is controlled to absorb the dust that falls after cleaning. When the electric field strength values ​​of all electrostatic dust collectors are lower than the reference strength value, the filter dust suction device is controlled to stop working, and the suction device is controlled to suction at the suction angle and suction force value to collect the remaining dust into the collection device.

[0197] Based on the same inventive concept, an embodiment of the present invention provides a remote monitoring and intelligent ventilation control system for tunnel air quality during construction, including:

[0198] An acquisition module is used to acquire air detection parameters, external wind speed values, tunnel shape information, curve curvature values, tunnel image information, vehicle speed, tunnel wind speed values, air exchange rate, external wind direction information, fan blade image information, surrounding image information, filter element remaining value, and electric field strength value;

[0199] A memory for storing a program for a method for remote monitoring of tunnel air quality and intelligent ventilation control during construction;

[0200] The program in the processor memory can be loaded and executed by the processor to realize a method for remote monitoring of tunnel air quality and intelligent ventilation control during the construction period.

[0201] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0202] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A method for remote monitoring of tunnel air quality and intelligent ventilation control during construction period, characterized in that: include: Acquire air detection parameters of a preset fixed detection area and air detection parameters of a fixed detection area adjacent to the fixed detection area, and define the acquired air detection parameters of the adjacent fixed detection areas as adjacent detection parameters; Calculate the difference between the air detection parameter and the adjacent detection parameter as the detection difference value; Based on the situation that the detected difference value exceeds the preset reference difference value, controlling the preset movement detection device to perform air quality detection in the tunnel along the preset movement detection path, and outputting movement detection parameters; Obtain the preset external wind speed value of the tunnel entrance; According to the external wind speed value and the movement detection parameter, the ventilation device number and the ventilation power value corresponding to the ventilation device number are matched from the preset ventilation database; The ventilation device corresponding to the ventilation device number is controlled to ventilate the tunnel with the corresponding ventilation power value.

2. The method for remote monitoring and intelligent ventilation control of tunnel air quality during construction period according to claim 1 is characterized in that: Also included is a preset curve ventilation method, the curve ventilation method comprising: Obtain tunnel morphology information of the mobile detection path; Based on the fact that the tunnel shape information includes a preset curve shape, obtaining a curve curvature value; Based on the situation that the curvature value of the curve exceeds the preset reference curvature value, the moving position of the equipment and the blowing angle value are matched from the ventilation database according to the curvature value of the curve; Control the ventilation device to move to the device moving position, and control the ventilation device to adjust the direction to be consistent with the blowing angle value; After the ventilation equipment is controlled to adjust its direction to be consistent with the blowing angle value, the ventilation efficiency is matched from the ventilation database according to the ventilation power value, the blowing angle value and the moving position of the equipment; Matching the baseline required ventilation efficiency from the ventilation database according to the motion detection parameters; Based on the situation that the ventilation efficiency is lower than the benchmark ventilation efficiency, the preset auxiliary blowing device is controlled to perform auxiliary ventilation with a preset auxiliary blowing intensity value.

3. The method for remote monitoring and intelligent ventilation control of tunnel air quality during construction period according to claim 1 is characterized in that: Also included is a correction method for correcting the ventilation power value, the correction method comprising: Obtain tunnel image information; Based on the fact that the tunnel image information contains preset vehicle features, the vehicle information is matched from a preset vehicle identification library according to the tunnel image information, and the vehicle speed and tunnel wind speed value are obtained; Matching vehicle wind resistance information from a preset vehicle database according to vehicle information; According to the vehicle wind resistance information, the vehicle driving speed and the tunnel wind speed value, the vehicle stirring wind speed value is matched from the vehicle database; Matching a corrected ventilation power value from a ventilation database according to the vehicle stirring wind speed value; Control the ventilation equipment to ventilate the tunnel with the correct ventilation power value.

4. The method for remote monitoring and intelligent ventilation control of tunnel air quality during construction period according to claim 3 is characterized in that: Correction methods also include: Based on the fact that the tunnel image information contains vehicle features, the cargo loading of the vehicle is identified from a preset cargo identification library according to the tunnel image information and the vehicle features; Based on the fact that the vehicle cargo load condition is consistent with the preset reference cargo load condition, cargo load wind resistance information is matched from a vehicle database according to the vehicle cargo load condition and vehicle wind resistance information; According to the cargo wind resistance information, the vehicle speed and the tunnel wind speed value, the cargo stirring wind speed value is matched from the vehicle database; Match the cargo ventilation power value from the ventilation database according to the cargo stirring wind speed value; Control the ventilation equipment to ventilate the tunnel at the cargo ventilation power value.

5. The method for remote monitoring and intelligent ventilation control of tunnel air quality during construction period according to claim 1 is characterized in that: Also included is a preset air induction method, the air induction method comprising: When the mobile detection device detects along the mobile detection path, the air exchange rate in the tunnel is obtained; Based on the situation that the air exchange rate is lower than the preset reference exchange rate, obtaining external wind direction information; According to the external wind direction information and the preset tunnel opening size, the wind induction angle is matched from the preset air inlet database; Control the preset air induction device to turn the direction to be consistent with the air induction angle, so as to control the air induction device to induct air, and update the air exchange rate after inducing air; Based on the situation that the updated air exchange rate is still lower than the benchmark exchange rate, the wind speed value is matched from the ventilation database according to the updated air exchange rate and the benchmark exchange rate; According to the wind force value, the size of the wind sail is matched from the preset wind database, and the wind sail preset on the mobile detection device is controlled to open to a size corresponding to the size of the wind sail, so as to add wind to the tunnel; Based on the situation that the size of the added sail exceeds the preset maximum size of the added sail, the added sail is controlled to be opened to a size corresponding to the maximum size of the added sail, so as to add wind to the tunnel, and a prompt is reported.

6. The method for remote monitoring and intelligent ventilation control of tunnel air quality during construction period according to claim 1 is characterized in that: Also included is a method for treating fan blade contamination, the method comprising: Acquire fan blade image information of the ventilation device; Matching the fan blade contamination degree from a preset contamination database according to the fan blade image information and the preset contamination characteristics; Matching the ventilation correction power value from the ventilation database according to the fan blade contamination degree and the preset fan blade size information; Controlling the ventilation equipment to ventilate the tunnel with the ventilation correction power value, and obtaining the surrounding image information of the ventilation equipment; Based on the situation that the surrounding image information does not contain the preset vehicle features, the cleaning device preset on the ventilation equipment is controlled to clean the fan blades.

7. The method for remote monitoring and intelligent ventilation control of tunnel air quality during construction period according to claim 6 is characterized in that: Also included is a preset dust collection method, the dust collection method comprising: When the fan blades are cleaned by the cleaning equipment, a residual value of the filter element of the preset filtering and dust collecting device is obtained; According to the fan blade dirtiness and fan blade size information, the filter element requirement value is matched from the preset filter database; Determine whether the remaining value of the filter element exceeds the required value of the filter element; Based on the situation that the remaining value of the filter element exceeds the required value of the filter element, the filter dust suction device is controlled to absorb the dust dropped during cleaning; Based on the fact that the remaining value of the filter element does not exceed the filter element requirement value and does not exceed the preset filter element baseline value, the preset collection device is controlled to open to collect dust dropped due to cleaning, and the suction device preset on the collection device is controlled to perform suction at a preset suction angle and a preset suction force value.

8. The method for remote monitoring and intelligent ventilation control of tunnel air quality during construction period according to claim 7 is characterized in that: Dust collection methods also include: Based on the situation that the filter element remaining value does not exceed the filter element required value, but exceeds the filter element reference value, the difference between the filter element remaining value and the filter element required value is calculated as the filter element difference value; According to the filter element difference value and the preset electrostatic dust collecting device size, the number of electrostatic dust collecting devices is matched from a preset dust collecting database; Based on the situation that the number of electrostatic dust collecting devices is not greater than the preset reference number of electrostatic dust collecting devices, controlling the electrostatic dust collecting devices preset on the filtering dust collecting device and corresponding to the number of electrostatic dust collecting devices to be powered on; After the electrostatic dust collector is powered on, the filtering dust collector is controlled to absorb the dust dropped by the cleaning, and after the absorption is completed, the electric field strength value of the electrostatic dust collector is obtained; Based on the situation that the electric field strength value is lower than the preset reference strength value, a prompt to replace the device is reported.

9. The method for remote monitoring and intelligent ventilation control of tunnel air quality during construction period according to claim 3 is characterized in that: The vehicle stirring wind speed value needs to be calculated using a preset algorithm configuration, and the algorithm configuration is: ,in, is the vehicle stirring wind speed value, is the tunnel wind speed value, is the vehicle drag coefficient, is the air density, is the vehicle speed.

10. A remote monitoring and intelligent ventilation control system for tunnel air quality during construction period, characterized in that: include: An acquisition module is used to obtain air detection parameters and external wind speed values; A memory for storing a program of a method for remote monitoring and intelligent ventilation control of tunnel air quality during construction period according to any one of claims 1 to 9; The program in the processor and the memory can be loaded and executed by the processor to implement the remote monitoring and intelligent ventilation control method of tunnel air quality during the construction period as described in any one of claims 1 to 9.

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