Vehicle air conditioner pipeline accumulated water and peculiar smell ventilation control method and system

Abstract

The invention discloses a vehicle air conditioner pipeline accumulated water and peculiar smell ventilation control method and system, and relates to the technical field of vehicle air conditioner intelligent ventilation control. Through the design of the corresponding system and method, the system has the following effects that the air quality is improved, the system can accurately judge the air quality in the air conditioner pipeline by detecting the concentration of peculiar smell gas in the pipeline in real time, it is ensured that a car owner breathes fresh air, and air pollution in a car is reduced; automatic control is achieved, the system automatically monitors the surface water accumulation degree and the peculiar smell gas concentration of the evaporator, and the temperature, time, size and other parameters of the exhaust system are intelligently adjusted according to data. The ventilation system can be automatically adjusted according to needs so as to effectively remove peculiar smell gas, and continuous and stable operation of the air conditioning system is ensured. And through the peculiar smell gas early warning intelligent connection system, the vehicle can give out an alarm that the peculiar smell concentration is too high in time, and a vehicle owner is reminded to conduct appropriate ventilation treatment on an air conditioner pipeline.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent ventilation control for vehicle air conditioners, and in particular to a ventilation control method and system for water accumulation and odor in vehicle air conditioner pipes. Background Art

[0002] With the vigorous development of my country's automobile industry, the per capita car ownership has increased significantly. The impact of in-car air quality on human health, passenger comfort and driving safety has received increasing attention. At present, the automobile industry uses high-temperature cleaning to remove odors from air-conditioning ducts before starting the vehicle's air conditioning. The high-temperature cleaning method is due to the close proximity of the evaporator and the heater water tank. As long as the car's heater and external circulation are turned on and set to the highest temperature, and then the air volume is increased and the idling speed is idle for about half an hour, the evaporator will be quickly dried and the bacteria will be killed by high temperature, and finally blown away by the large air volume of the blower. A fuel vehicle consumes about one liter of fuel for idling cleaning, and a small-displacement fuel vehicle consumes about half a liter of fuel; new energy vehicles use warm air for about half an hour of parking, and its power consumption will be more than 5kW;

[0003] Car air conditioning is an indispensable part of modern automobile components, and the odorous gases and harmful gases in the air-conditioning ducts have a significant impact on the health, comfort and driving safety of the car occupants. The car air-conditioning system will produce condensed water, that is, water vapor, during operation, and a humid environment is an ideal environment for the growth of bacteria and mold. Bacteria and mold will breed and multiply in a humid environment, and produce odorous gases by decomposing organic matter. These gases will spread into the car with the circulation of the air-conditioning system, causing passengers to experience fatigue, headache, dizziness and other discomfort symptoms, and even affect the driver's cognitive function and driving safety. However, the existing intelligent ventilation control methods for odor in automotive air-conditioning ducts have the disadvantages of being time-consuming, inefficient, low energy utilization, and complicated removal operations.

[0004] Therefore, a new solution to the above problems needs to be proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for controlling water accumulation and odor ventilation in vehicle air-conditioning pipes, so as to solve the technical problems raised in the background technology.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a ventilation control system for water accumulation and odor in vehicle air-conditioning ducts, comprising at least an intelligent detection and control system for air quality in vehicle air-conditioning ducts, an intelligent connection system for early warning of odorous gases, an image recognition module and a ventilation equipment module;

[0007] The vehicle air conditioning duct air quality intelligent detection and control system is used to monitor and adjust the vehicle air conditioning duct air quality in real time;

[0008] The odorous gas early warning intelligent connection system is used to determine the concentration of odorous gas in the pipeline in real time;

[0009] The image recognition module is used to determine the degree of water accumulation on the surface of the evaporator;

[0010] The ventilation equipment module is used to intelligently adjust the ventilation state of the pipeline according to the odor gas concentration signal and the water accumulation degree signal, so as to control the odor gas concentration in the pipeline and the water accumulation degree on the surface of the evaporator.

[0011] Preferably, the vehicle air conditioning duct air quality intelligent detection and control system includes an odor sensor module, an odor gas data real-time transmission module, a duct environment central controller and an image recognition module;

[0012] The odor sensor module includes at least a TGS2603 gas sensor.

[0013] Preferably, the ventilation equipment module is a direct exhaust ventilation system.

[0014] A method for controlling water accumulation and odor in a vehicle air conditioning pipe, comprising at least the following steps:

[0015] S1: Perform intelligent judgment and control of odor monitoring sensors;

[0016] S2: Perform pipeline water accumulation image recognition control;

[0017] S3: Real-time control is performed according to the specific equipment to adjust the exhaust size, temperature and time.

[0018] Preferably, the S1 at least comprises the following steps:

[0019] The concentration data of aldehydes, organic sulfides and benzene detected by TGS2603 gas sensor are read. The sensor is set to detect once per minute with a resolution of 50ppm.

[0020] The concentration of odorous gas pollutants obtained through concentration data is set as X i ;

[0021] The concentration limit of odorous gas concentration in nature is set to level Ⅰ, which is X I ;

[0022] Set the limit value of the known standard to level II, that is, X II ;

[0023] Then according to X i , X Ⅰ and X Ⅱ The setting of the odor gas concentration in the vehicle air conditioning duct is divided into three intervals: excellent (X i <XⅠ ),X Ⅰ Qualified (X Ⅰ ≤X i ≤X Ⅱ ) and unqualified (X Ⅱ <X i ), to achieve logistic regression control;

[0024] The exhaust volume corresponding to the optimal interval is 150m 3 / h, the exhaust volume corresponding to the qualified interval is 300m 3 / h, the exhaust volume corresponding to the unqualified interval is 450m 3 / h.

[0025] Preferably, the logistic regression model in S1 is:

[0026] P(Y=1|X)

[0027] Where Y is the target variable and X is the input variable, that is:

[0028]

[0029] β 0 is the intercept term of the logistic regression model, that is, when all input variables x 1 ,x 2 ,…,x n The value of log probability when both are 0;

[0030] β 1 ,β 2 ,…,β n are the coefficients of the logistic regression model, corresponding to each input variable; x 1 ,x 2 ,…,x n The input variables are the concentrations of aldehydes, organic sulfides, and benzene. The input variables are the raw data used by the model to predict the output.

[0031] Preferably, S2 at least includes the following steps:

[0032] First, a dataset containing images of water accumulation on the surface of the evaporator is collected and prepared, and each image is annotated to indicate the location and degree of water accumulation. The dataset is converted into the YOLO format using the JSON2YOLO tool for training to obtain a model, which is the image recognition module.

[0033] The water accumulation degree on the evaporator surface is divided into two categories: dry and non-dry through the image recognition module;

[0034] Among them, non-dryness is divided into mild waterlogging, moderate waterlogging and severe waterlogging;

[0035] Logistic regression control is performed on the exhaust temperature, time, and exhaust volume according to the degree of water accumulation. The adopted logistic regression model is the same as that of S1.

[0036] The temperatures corresponding to the mild waterlogging, moderate waterlogging and severe waterlogging are 20°C, 35°C and 55°C respectively;

[0037] The time corresponding to the mild water accumulation, moderate water accumulation and severe water accumulation is 1 minute, 3 minutes and 5 minutes respectively;

[0038] The exhaust volumes corresponding to mild waterlogging, moderate waterlogging and severe waterlogging are 150m 3 / h、300m 3 / h and 450m 3 / h.

[0039] Preferably, S3 at least includes the following steps:

[0040] By turning off the external air supply while opening the internal air supply system and controlling the direct exhaust ventilation system to start for 10 seconds, the exhaust air volume is controlled in real time by the duct environment central controller and the direct exhaust ventilation system;

[0041] If the odor gas concentration still does not meet the standard after 10 seconds of startup, the pipeline environment central controller will determine how much time is needed and the exhaust volume to be used. At the same time, the odor gas warning intelligent connection system will give a voice reminder:

[0042] The ventilation needs to be carried out again;

[0043] When the external air supply system is turned on and the internal one is closed, the image recognition module transmits the obtained data to the duct environment central controller and controls the direct exhaust ventilation system in real time to adjust the exhaust size, temperature and time.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] The present invention has the following effects through the design of corresponding systems and methods:

[0046] Improve air quality. By real-time detection of the concentration of odorous gases in the pipes, the system can accurately determine the air quality in the air conditioning pipes, ensuring that car owners breathe fresh air and reducing air pollution in the car.

[0047] Automatic control: the system automatically monitors the water accumulation on the evaporator surface and the concentration of odorous gases, and intelligently adjusts the temperature, time, size and other parameters of the exhaust system based on the data. This ensures that the ventilation system can automatically adjust as needed to effectively remove odorous gases and ensure the continuous and stable operation of the air conditioning system;

[0048] Timely warning function: through the odor gas warning intelligent connection system, the vehicle can promptly issue an alarm for excessive odor concentration, reminding the owner to properly ventilate the air conditioning ducts, thereby preventing the accumulation of odorous gases and maintaining a comfortable environment in the car;

[0049] Energy-saving and efficient, the system can not only improve the freshness of the air in the car, but also avoid energy waste and optimize the energy consumption of the air conditioning system by accurately controlling the working time and air volume of the ventilation equipment;

[0050] Intelligent image recognition assistance: through image recognition technology, combined with the surface water accumulation data of the evaporator, the system can more intelligently determine whether the exhaust system needs to be started, thereby improving the flexibility and response speed of air quality control;

[0051] Enhance user experience. Combined with voice prompts and data storage modules, the system can provide car owners with real-time information and historical records, allowing users to have a clearer understanding of the air quality in the car and improve driving comfort.

[0052] Reduce the impact of odor on the air quality inside the car: By precisely controlling the removal of odorous gases from the vehicle air-conditioning duct, the impact of odorous gases on the air quality inside the car can be significantly reduced, thereby improving the driving experience of car owners. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0054] Figure 1 This is a schematic diagram of adjusting the vehicle air conditioning duct of the present invention;

[0055] Figure 2 This is the intelligent judgment control logic control diagram of the sensor of the present invention;

[0056] Figure 3 This is the image recognition control logic control diagram of the present invention. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0058] The present invention aims to solve the problems of low efficiency, long time consumption and low energy utilization rate in removing odorous gas from vehicle air-conditioning ducts in the prior art, and provides an intelligent exhaust control method combining image intelligent recognition and real-time monitoring by sensors to remove odorous gas from the ducts, wherein image recognition is to judge the degree of water accumulation on the surface of the evaporator and thus inhibit the generation of a humid environment, reduce the breeding and reproduction of bacteria and mold, and thus reduce the root cause of odor in the vehicle air-conditioning ducts. At the same time, the sensor monitors the odor concentration in the duct in real time, and intelligently controls the exhaust volume, temperature and time, providing an intelligent, energy-saving and efficient method for removing odorous gas from vehicle air-conditioning ducts, thereby ensuring the health, comfort and driving safety of the vehicle occupants.

[0059] The present invention adopts the YOLOv11 image recognition algorithm combined with sensor intelligent recognition to form a ventilation control system for removing odor from vehicle air-conditioning ducts, wherein the water accumulation area on the surface of the evaporator is judged by the image recognition algorithm to control the exhaust volume, temperature, and exhaust time so that the surface of the evaporator remains dry, inhibits the generation of a humid environment, reduces the breeding of bacteria and mold, and thus reduces the generation of odor in the vehicle air-conditioning duct from the root. Secondly, the sensor intelligent recognition is to monitor and feedback the concentration of odorous gas in the vehicle air-conditioning duct in real time through the TGS2603 gas sensor, and use the odorous gas concentration as an input variable through a linear regression relationship to control the exhaust volume, exhaust temperature, and exhaust time to ensure that there is no odor in the vehicle air-conditioning duct and does not affect the user experience.

[0060] Specifically propose the following embodiments:

[0061] Embodiment 1:

[0062] A ventilation control system for water accumulation and odor in vehicle air conditioning pipes, including at least a vehicle air conditioning pipe air quality intelligent detection and control system, an odor gas early warning intelligent connection system, an image recognition module and a ventilation equipment module. These four systems work together to form a unified intelligent management system to ensure that the concentration of odorous gas in the pipes is always maintained at an appropriate level and the surface of the evaporator is kept dry to prevent bacteria and mold from breeding in a humid environment, and will not affect the air quality in the car after the vehicle air conditioner is turned on. Figure 1 As shown;

[0063] The intelligent detection and control system for air quality of vehicle air conditioning ducts is used to monitor and adjust the air quality of vehicle air conditioning ducts in real time;

[0064] The odor gas early warning intelligent connection system is used to determine the concentration of odor gas in the pipeline in real time;

[0065] The odor gas warning intelligent connection system includes an identification module, an intelligent connection and data storage module; the identification module is respectively connected to the alarm module, the data storage module and the intelligent detection and control system of the air quality of the vehicle air conditioning duct; the odor gas warning intelligent connection system consists of an identification module, an intelligent connection module and a data storage module. The identification module is responsible for judging the odor gas concentration data, generating a prompt signal, and sending it to the intelligent connection module and the data storage module. The intelligent connection module performs corresponding voice prompt operations according to the generated prompt signal, while the data storage module is responsible for storing the prompt signal and the odor gas concentration data and the water accumulation degree data.

[0066] The image recognition module is used to determine the degree of water accumulation on the surface of the evaporator;

[0067] The ventilation equipment module is used to intelligently adjust the ventilation status of the pipeline according to the odor gas concentration signal and the water accumulation degree signal, so as to control the odor gas concentration in the pipeline and the water accumulation degree on the evaporator surface.

[0068] The intelligent detection and control system for air quality of vehicle air conditioning ducts includes an odor sensor module, a real-time transmission module for odor gas data, a duct environment central controller and an image recognition module;

[0069] The odor sensor module includes at least a TGS2603 gas sensor. The odor sensor module is connected to the odor gas data real-time transmission module, and the odor gas concentration data is transmitted to the pipeline environment central controller and the odor gas early warning intelligent connection system through the odor gas data real-time transmission module; the pipeline environment central controller compares the received odor gas concentration data with the preset threshold value, generates a control signal, and intelligently adjusts the ventilation equipment module

[0070] The image recognition module adopts YOLOv11 image recognition technology, which is connected to the real-time transmission module of odor gas data. The data of water accumulation on the evaporator surface is transmitted to the pipeline environment central controller through the real-time transmission module. The pipeline environment central controller generates a control signal based on the received data of water accumulation on the evaporator surface combined with the linear regression model, and intelligently adjusts the ventilation equipment module.

[0071] The ventilation equipment module is a direct exhaust ventilation system. The data collected by the odor sensor module and the image recognition module are combined in the pipeline environment central controller to judge the closing of the vehicle air conditioning duct control door and the exhaust temperature, time, and size for control. The odorous gas in the vehicle air conditioning duct is discharged from the duct in the fastest and most efficient way to reduce the impact on the air quality in the car.

[0072] Embodiment 2:

[0073] Based on the above embodiment, this embodiment proposes a method for controlling water accumulation and odor ventilation in a vehicle air conditioning pipe, which at least includes the following steps:

[0074] S1: Perform intelligent judgment and control of odor monitoring sensors;

[0075] S2: Perform pipeline water accumulation image recognition control;

[0076] S3: Real-time control is performed according to the specific equipment to adjust the exhaust size, temperature and time.

[0077] S1 includes at least the following steps:

[0078] The concentration data of aldehydes, organic sulfides and benzene detected by TGS2603 gas sensor are read. The sensor is set to detect once per minute with a resolution of 50ppm.

[0079] The concentration of odorous gas pollutants obtained through concentration data is set as X i ;

[0080] The concentration limit of odorous gas in nature is set to level Ⅰ, which is X Ⅰ ;

[0081] The limit value of the known standard, in this embodiment, China's "Indoor Air Quality Standard" (GB / T 18883-2022) is set to level II, that is, X Ⅱ ;

[0082] Then according to X i , X Ⅰ and X Ⅱ The setting of the odor gas concentration in the vehicle air conditioning duct is divided into three intervals: excellent (X i <X Ⅰ ),X Ⅰ Qualified (X Ⅰ ≤X i ≤X Ⅱ ) and unqualified (X Ⅱ <X i ), to achieve logistic regression control;

[0083] Control logic diagram Figure 2 shown.

[0084] The exhaust volume corresponding to the interval being excellent is 150m 3 / h, the exhaust volume corresponding to the qualified interval is 300m 3 / h, the exhaust volume corresponding to the unqualified interval is 450m 3 / h.

[0085] The logistic regression model in S1 is:

[0086] P(Y=1|X)

[0087] Where Y is the target variable and X is the input variable, that is:

[0088]

[0089] β 0 is the intercept term of the logistic regression model, that is, when all input variables x 1 , x 2 , …, x n are all 0, the value of the log odds;

[0090] β 1 , β 2 , …, β n are the coefficients of the logistic regression model, corresponding to each input variable respectively; x 1 , x 2 , …, x n are the input variables, that is, the concentrations of aldehydes, organic sulfides and benzenes. The input variables are the original data used by the model to predict the output

[0091] S2 includes at least the following steps:

[0092] First, collect and prepare a dataset containing images of accumulated water on the evaporator surface, and label each picture to indicate the location and degree of the accumulated water. After converting the dataset into the YOLO format using the JSON2YOLO tool for training, a model is obtained, which is the image recognition module;

[0093] Classify the degree of accumulated water on the evaporator surface into two categories: dry and non-dry through the image recognition module;

[0094] Among them, the non-dry is divided into mild water accumulation, moderate water accumulation and severe water accumulation;

[0095] Conduct logistic regression control on the exhaust air temperature, time and exhaust air volume according to the degree of water accumulation. The logistic regression model used is the same as that in S1, and the control logic diagram is as Figure 3 shown;

[0096] The temperatures corresponding to mild water accumulation, moderate water accumulation and severe water accumulation are 20°C, 35°C and 55°C respectively;

[0097] The times corresponding to mild water accumulation, moderate water accumulation and severe water accumulation are 1 min, 3 min and 5 min respectively;

[0098] The exhaust air volumes corresponding to mild water accumulation, moderate water accumulation and severe water accumulation are 150 m 3 / h, 300 m 3 / h and 450 m 3 / h respectively.

[0099] S3 includes at least the following steps:

[0100] By turning off the external air supply while opening the internal air supply system and controlling the direct exhaust ventilation system to start for 10 seconds, the exhaust air volume is controlled in real time by the duct environment central controller and the direct exhaust ventilation system;

[0101] If the odor gas concentration still does not meet the standard after 10 seconds of startup, the pipeline environment central controller will determine how much time is needed and the exhaust volume to be used. At the same time, the odor gas warning intelligent connection system will give a voice reminder:

[0102] The ventilation needs to be carried out again;

[0103] When the external air supply system is turned on and the internal one is closed, the image recognition module transmits the acquired data to the central controller of the duct environment and controls the direct exhaust ventilation system in real time, adjusting the exhaust size, temperature and time;

[0104] Such regulation can ensure that the concentration of odorous gases in the vehicle air-conditioning ducts is always maintained at an appropriate level. At the same time, it can avoid the use of high-temperature cleaning methods, providing drivers and passengers with a healthier, more comfortable and safer in-vehicle environment with higher efficiency and lower energy consumption.

[0105] In summary:

[0106] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A ventilation control system for water accumulation and odor in vehicle air conditioning pipes, characterized in that: At least include the intelligent detection and control system for air quality of vehicle air conditioning ducts, the intelligent connection system for odor gas early warning, the image recognition module and the ventilation equipment module; The vehicle air conditioning duct air quality intelligent detection and control system is used to monitor and adjust the vehicle air conditioning duct air quality in real time; The odorous gas early warning intelligent connection system is used to determine the concentration of odorous gas in the pipeline in real time; The image recognition module is used to determine the degree of water accumulation on the surface of the evaporator; The ventilation equipment module is used to intelligently adjust the ventilation state of the pipeline according to the odor gas concentration signal and the water accumulation degree signal, so as to control the odor gas concentration in the pipeline and the water accumulation degree on the surface of the evaporator.

2. A ventilation control system for water accumulation and odor in vehicle air conditioning pipes according to claim 1, characterized in that: The vehicle air conditioning duct air quality intelligent detection and control system comprises an odor sensor module, an odor gas data real-time transmission module, a duct environment central controller and an image recognition module; The odor sensor module includes at least a TGS2603 gas sensor.

3. A ventilation control system for water accumulation and odor in vehicle air conditioning pipes according to claim 1, characterized in that: The ventilation equipment module is a direct exhaust ventilation system.

4. A method for controlling water accumulation and odor in vehicle air conditioning pipes, used in a vehicle air conditioning pipe water accumulation and odor ventilation control system as claimed in any one of claims 1 to 3, characterized in that: At least the following steps are included: S1: Perform intelligent judgment and control of odor monitoring sensors; S2: Perform pipeline water accumulation image recognition control; S3: Real-time control is performed according to the specific equipment to adjust the exhaust size, temperature and time.

5. A method for controlling water accumulation and odor in vehicle air conditioning pipes according to claim 4, characterized in that: The S1 at least comprises the following steps: The concentration data of aldehydes, organic sulfides and benzene detected by TGS2603 gas sensor are read. The sensor is set to detect once per minute with a resolution of 50ppm. The concentration of odorous gas pollutants obtained through concentration data is set as Xi; The concentration limit of odorous gases in nature is set to level Ⅰ, that is, XⅠ; Set the limit value of the known standard to level II, i.e. XII; Then, according to the settings of Xi, XⅠ and XⅡ, the concentration of odorous gas in the vehicle air conditioning duct is divided into three intervals: excellent (Xi<XⅠ), qualified XⅠ (XⅠ≤Xi≤XⅡ) and unqualified (XⅡ<Xi), so as to achieve logistic regression control; The exhaust volume corresponding to the optimal interval is 150m 3 / h, the exhaust volume corresponding to the qualified interval is 300m 3 / h, the exhaust volume corresponding to the unqualified interval is 450m 3 / h.

6. A method and system for controlling water accumulation and odor in vehicle air conditioning pipes according to claim 5, characterized in that: The logistic regression model in S1 is: P(Y=1|X) Where Y is the target variable and X is the input variable, that is: β0 is the intercept term of the logistic regression model, that is, when all input variables x1, x2, …, x n The value of log probability when both are 0; β1,β2,…,β n are the coefficients of the logistic regression model, corresponding to each input variable; x1,x2,…,x n The input variables are the concentrations of aldehydes, organic sulfides, and benzene. The input variables are the raw data used by the model to predict the output.

7. A method for controlling water accumulation and odor in vehicle air conditioning pipes according to claim 6, characterized in that: The S2 at least comprises the following steps: First, a dataset containing images of water accumulation on the surface of the evaporator is collected and prepared, and each image is annotated to indicate the location and degree of water accumulation. The dataset is converted into the YOLO format using the JSON2YOLO tool for training to obtain a model, which is the image recognition module. The water accumulation degree on the evaporator surface is divided into two categories: dry and non-dry through the image recognition module; Among them, non-dryness is divided into mild waterlogging, moderate waterlogging and severe waterlogging; Logistic regression control is performed on the exhaust temperature, time and exhaust volume according to the degree of waterlogging. The adopted logistic regression model is the same as S1. The temperatures corresponding to the mild waterlogging, moderate waterlogging and severe waterlogging are 20°C, 35°C and 55°C respectively. The time corresponding to the mild water accumulation, moderate water accumulation and severe water accumulation is 1 minute, 3 minutes and 5 minutes respectively; The exhaust volumes corresponding to mild waterlogging, moderate waterlogging and severe waterlogging are 150m 3 / h、300m 3 / h and 450m 3 / h.

8. A method for controlling water accumulation and odor in vehicle air conditioning pipes according to claim 7, characterized in that: The S3 at least includes the following steps: By turning off the external air supply while opening the internal air supply system and controlling the direct exhaust ventilation system to start for 10 seconds, the exhaust air volume is controlled in real time by the duct environment central controller and the direct exhaust ventilation system; If the odor gas concentration still does not meet the standard after 10 seconds of startup, the pipeline environment central controller will determine how much time is needed and the exhaust volume to be used. At the same time, the odor gas warning intelligent connection system will give a voice reminder: The ventilation needs to be carried out again; When the external air supply system is turned on and the internal one is closed, the image recognition module transmits the obtained data to the duct environment central controller and performs real-time control of the direct exhaust ventilation system to adjust the exhaust size, temperature and time.

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