Intelligent vehicle window control method and system based on multi-source data fusion

Abstract

The invention discloses an intelligent vehicle window control method and system based on multi-source data fusion, relates to the technical field of vehicle window intelligentization, and dynamically evaluates the weather condition of the position where a vehicle is located and the air quality in the vehicle by integrating multi-source data such as a satellite weather chart, vehicle longitude and latitude coordinates, a millimeter wave radar and an infrared optical sensor. Therefore, intelligent vehicle window regulation and control are realized; the system calculates weather state indexes according to real-time meteorological elements, and triggers a window closing instruction when encountering extreme weather or foreign matter blocking, so that the driving safety is guaranteed; after the vehicle window is completely closed, continuously monitoring and calculating an air quality state evaluation value in the vehicle, and if the air quality state evaluation value deviates from a preset interval, automatically deciding or transmitting abnormal information to passengers in combination with external weather conditions to form an environment closed-loop regulation mechanism so as to ensure intelligent balance of comfort and safety of the environment in the vehicle.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent vehicle windows, and specifically relates to an intelligent vehicle window control method and system based on multi-source data fusion. Background Art

[0002] With the continuous development of automobile technology, people have higher and higher requirements for automobile safety; as an important part of the car, the control method of windows is also constantly improving.

[0003] Traditional technologies have many shortcomings in window control. Traditional methods often rely on a single sensor to monitor basic data such as temperature and humidity inside the car, simply triggering the opening and closing of the windows, and are unable to fully and accurately assess weather conditions. Secondly, existing intelligent window control methods only make decisions based on the in-car environment or simple weather forecast information. They have limited ability to cope with complex weather and special obstacles, and pose safety risks. The most obvious defect is that the in-car air quality monitoring and adjustment are relatively independent and cannot be linked to external weather conditions in real time, making it difficult to form an effective environmental adjustment closed loop.

[0004] In order to solve the above problems, the present invention proposes an intelligent window control method and system based on multi-source data fusion. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides an intelligent window control method and system based on multi-source data fusion, which solves the problem that the existing technology cannot dynamically adapt to environmental changes and balance the needs inside the car in the direction of intelligent windows.

[0006] The purpose of the present invention can be achieved through the following technical solutions: An intelligent vehicle window control method based on multi-source data fusion includes the following steps: Step 1: Obtain the vehicle's longitude and latitude coordinates in real time, then obtain a satellite weather map based on the satellite meteorological center, determine the target location of the vehicle's longitude and latitude coordinates in the satellite weather map in real time, assess the weather conditions at the vehicle's current location based on the satellite weather map, and generate window adjustment instructions based on the weather conditions for display; Step 2: When the window control command meets the preset trigger condition, the window state of the vehicle representing the current time is obtained; If the window status indicates that the window is in the fully closed position, no processing is performed; If the window state indicates that the window is in a non-fully closed position, performing an adaptation process corresponding to the window state; Step 3: If all windows of the vehicle are in the fully closed position, continuously collect air quality parameters representing the air quality inside the vehicle and calculate the air quality status assessment value in real time; Determine whether the air quality status assessment value falls within the preset deviation range and take corresponding differentiated actions.

[0007] As a further solution of the present invention, in step 1, the window control instruction includes an open instruction, a close instruction and a null instruction; Open command: adjust the window to open state; Close command: adjust the window to the closed state; Empty instruction: maintain the current state unchanged.

[0008] As a further solution of the present invention, in step 1, the specific method of determining the target position of the vehicle's longitude and latitude coordinates in the satellite weather map in real time is: Determine the vehicle's latitude and longitude coordinates P(x,y) at the current time, where x is longitude and y is latitude; Get the satellite weather map S at the current time; Map P(x,y) to S and get the target position of P(x,y), marked as P1(x1,y1).

[0009] As a further solution of the present invention, in step 1, the weather conditions at the current location of the vehicle are assessed, and the specific method for generating and displaying the window adjustment instructions based on the weather conditions is as follows: Get the target position P1(x1,y1); Based on the satellite weather map S, the air quality index AQI, ultraviolet intensity UV, precipitation Prcp and wind speed WP at P1(x1,y1) are obtained; Get the maximum limit values ​​preset by the operator for AQI, UV, Prcp and WP: AQI MAX 、UV MAX 、Prcp MAX and WP MAX ; Use F_A=min(A / A MAX ,1) AQI, UV, Prcp and WP are normalized to obtain the normalized values: F_AQI, F_UV, F_Prcp and F_WP, where A represents AQI, UV, Prcp and WP.

[0010] Get the calculation weights preset by the operator, AQI is α, UV is β, Prcp is γ, WP is δ; α+β+γ+δ=1, and α, β, γ, and δ are all greater than 0 and less than 1; The weather state index WSI of the target position P1(x1,y1) is calculated using weighted summation; Then obtain the weather status index threshold WSI preset by the operator YU ; WSI WSI YU , generate a close instruction; WSI WSI YU , generate empty instructions; Display the generated close instruction or empty instruction.

[0011] As a further solution of the present invention, in step 1, if any normalized value F_A is equal to 1, a close instruction is directly generated.

[0012] As a further solution of the present invention, in step 2, the preset trigger condition is a close instruction; When it is detected that the window control command is a closing command, it means that the preset trigger condition is met; Get the window status at the current time; If the window is closed, it indicates that the window is in the fully closed position and no action is taken; If the window is in the open state, it indicates that the window is in a non-fully closed position, evaluates the feasibility of closing the current window, and performs adaptive processing based on the closing feasibility.

[0013] As a further solution of the present invention, in step 2, the specific manner of evaluating the feasibility of closing the current window and performing the adaptability processing based on the closing feasibility is as follows: Use the millimeter-wave radar and infrared optical sensor installed on the side of the car window to obtain the distance H between the current window position and the fully closed position and the millimeter-wave radar point cloud dataset Q around the car window at the current time RAD And infrared optical sensor data Q INF ; United Q RAD and Q INF , forming a spatial perception dataset Ω={Q RAD , Q INF}; For the spatial perception dataset Ω={Q RAD , Q INF Perform spatiotemporal alignment processing to extract the point cloud feature vector within the three-dimensional area of ​​the window closed path ; Obtain the standard point cloud feature vector corresponding to the path of the window from fully open state to window closed state of the corresponding vehicle model based on factory data ; Combined with standard point cloud feature vector And the distance H determines the standard point cloud feature vector associated with the fully closed position of the window at the current time ; Will and Perform point cloud feature comparison and calculate and The difference rate ; If the difference rate %, the feasibility of closing the window is considered to be unfeasible, and a prompt message is conveyed to the occupants in the car through non-mechanical means; Otherwise, the window closing feasibility is considered feasible, and the window is regulated to perform the closing operation, wherein, Values ​​preset for the operator.

[0014] As a further solution of the present invention, in step 3, the specific method of continuously collecting air quality parameters representing the air quality in the vehicle and calculating the air quality status assessment value in real time is: Monitor all vehicle windows. If all windows are in the fully closed position, start the air quality status assessment program: Get the air quality parameter collection cycle preset by the operator ; In any collection cycle Continuously collect the air quality parameters inside the car; Air quality parameters include carbon dioxide concentration, particulate matter concentration and total volatile organic compound concentration; Determine any collection cycle Any moment within The carbon dioxide concentration, particulate matter concentration and total volatile organic compound concentration in the car are recorded as 、 as well as ; Get the upper limit of the safety threshold preset by the operator: 、 as well as ; Use the normalization function F_B=min(B / B -MAX ,1) Standardize the air quality parameters respectively, where B represents 、 as well as ; Extract the standardized air quality parameters: standard carbon dioxide concentration F_ , standard particle concentration F_ And the standard total volatile organic compound concentration F_ ; Get the weight distribution coefficient preset by the operator: CO2 concentration weight , particle concentration weight , total volatile organic compound concentration weight ,in, + =1, and 、 Both are greater than 0 and less than 1; The time is calculated by weighted summation The air quality status assessment value AVQ in the car.

[0015] As a further solution of the present invention, in step 3, the specific method of determining whether the air quality status assessment value falls within the preset deviation range and taking a matching differentiated action is: Extraction time The air quality status assessment value AVQ in the vehicle is compared with the normal air quality status assessment value range predefined by the operator; If AVQ is within the normal air quality status assessment value interval, it means that it does not fall within the deviation interval, and a null instruction is generated, wherein the deviation interval is complementary to the normal air quality status assessment value interval; On the contrary, it means that it falls within the deviation range, and the time is obtained The weather conditions at the vehicle's location and determine differentiated actions; Among them, differentiated actions include: If the weather state is normal, an opening instruction is generated; If the weather condition is abnormal, the abnormal air quality condition information is transmitted to the passengers in the vehicle in a non-mechanical manner.

[0016] An intelligent window control system based on multi-source data fusion, the system includes the following: The weather perception and decision-making module obtains the vehicle's longitude and latitude coordinates in real time, then obtains a satellite weather map based on the satellite meteorological center, determines the target location of the vehicle's longitude and latitude coordinates in the satellite weather map in real time, assesses the weather conditions at the vehicle's current location based on the satellite weather map, and generates window control instructions based on the weather conditions for display; The window execution control module obtains the window status of the vehicle at the current time when the window control command meets the preset trigger condition; If the window status indicates that the window is in the fully closed position, no processing is performed; If the window state indicates that the window is in a non-fully closed position, performing an adaptation process corresponding to the window state; The environmental closed-loop adjustment module continuously collects air quality parameters representing the air quality inside the vehicle and calculates the air quality status assessment value in real time if all vehicle windows are in the fully closed position; Determine whether the air quality status assessment value falls within the preset deviation range and take corresponding differentiated actions.

[0017] Beneficial effects of the present invention: The present invention obtains vehicle location and related weather data in real time, performs standardized processing and comprehensive analysis, and then generates intelligent window adjustment instructions. This method achieves precise control of the windows, providing a comfortable and convenient in-vehicle environment for drivers and passengers. It not only responds promptly to various weather changes, but also minimizes the impact of adverse external weather factors on the in-vehicle environment, thereby improving driving safety and avoiding the inconvenience of frequent manual window adjustments. In addition, the present invention fully considers multi-dimensional weather factors, making window control more user-friendly and perfectly meeting the driving needs of different weather conditions. The present invention utilizes millimeter-wave radar and infrared optical sensors for combined perception, comprehensively acquiring information about the environment surrounding the vehicle window. This provides an advantage in identifying foreign objects within the window closing path, effectively preventing potential damage to occupants during the window closing process. This multi-dimensional perception is more reliable than single-sensor perception, enhancing the safety of window operation. Furthermore, in terms of accuracy, through spatiotemporal alignment processing and comparison of standard point cloud feature vectors, it can accurately assess the distance from the window to the closed position and whether there are any obstructions. This precise assessment based on data fusion makes window control more in line with actual scenario requirements, improves the adaptability and intelligence of window operation, and makes window control no longer a simple mechanical action, but an intelligent decision made based on the real-time environment, reflecting the development direction of intelligent control in modern vehicles. The present invention overcomes the one-sidedness of single-parameter evaluation by introducing a dynamic weighted assessment mechanism for multi-source pollutants in the vehicle, making the determination of in-vehicle air quality more scientific and comprehensive. Secondly, it introduces a weather status-coupled decision-making logic: when the in-vehicle air quality is abnormal, external weather conditions are prioritized - in normal weather, windows are automatically opened for ventilation, and in abnormal weather, a non-mechanical alarm mode (such as sound and light prompts) is switched to. This design not only ensures driving safety in extreme weather, but also ensures that passengers are informed of environmental risks in a timely manner through differentiated responses, achieving the dual beneficial effects of safety protection and comfort regulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention will be further described below with reference to the accompanying drawings.

[0019] Figure 1 It is a structural diagram of the system of the present invention; Figure 2 Schematic diagram of the process of the method described in Example 2 of the present invention. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0021] Example 1 An intelligent window control system based on multi-source data fusion, such as Figure 1 As shown, this system includes the following: The meteorological perception decision module obtains the vehicle's longitude and latitude coordinates in real time, and then obtains a satellite meteorological map based on the satellite meteorological center, determines in real time the target position of the vehicle's longitude and latitude coordinates in the satellite meteorological map, evaluates the weather conditions of the current vehicle location in combination with the satellite meteorological map, and generates window control instructions based on the weather conditions for display. Specifically, the window control instructions include an open instruction, a close instruction, and a null instruction, and the open instruction indicates that the window needs to be adjusted to the open state; the close instruction indicates that the window needs to be adjusted to the closed state, and the null instruction indicates that the window maintains the current state unchanged.

[0022] Among them, the step of obtaining the longitude and latitude coordinates of the vehicle can be obtained by the vehicle's own GPS positioning system or GNSS positioning system (this is part of the existing technology and will not be described in detail in this solution).

[0023] Next, satellite weather maps are obtained through weather stations or satellite weather centers, which need to provide the following data: high-precision local temperature and humidity, air pressure data, precipitation intensity, ultraviolet intensity, and wind speed.

[0024] In this module, the purpose is to fit the real-time position of the vehicle with the satellite weather map, analyze the weather conditions at the current time and the so-called location of the vehicle, and realize intelligent control of the vehicle windows based on this weather condition. The vehicle will receive the window control instructions sent by this module, that is, the opening instruction, closing instruction and empty instruction as described above.

[0025] The window execution control module obtains the window status of the vehicle at the current time when the window control command meets the preset trigger condition; If the window status indicates that the window is in the fully closed position, no processing is performed; If the window state indicates that the window is in a non-fully closed position, adaptive processing corresponding to the window state is performed. Specifically, this module is mainly used for further operation subdivision and safety detection in the process of controlling the window.

[0026] When the window control command meets the preset trigger conditions, it means that the vehicle needs to close the windows, because only empty commands and closing commands are generated in the weather perception decision module. Empty commands mean that no operation is required on the windows, and closing commands are the preset trigger conditions of this module.

[0027] Next, the window status of the vehicle at the current time is obtained. This step can be achieved by installing a millimeter-wave radar and an infrared monitoring device at the window position, and the distance from the current window position to fully closed or fully opened can be determined.

[0028] Next, if the monitored window status indicates that the window is in a fully closed position, no processing is required because the instruction issued by the weather perception decision module is also a closing instruction.

[0029] If the monitored window state indicates that the window is in a non-fully closed position, that is, at the current time, the window is in an open state, then performing adaptive processing corresponding to the window state; Adaptive processing includes the following steps: first, determining the distance the window can travel from fully closed. Then, determining whether there is any foreign object in the window's travel from the current state to fully closed. (For example, if a passenger's hand is placed in the middle of the window, the traditional method is to simply close the window and detect pressure. When the pressure exceeds a threshold, the window stops closing. This process still has certain risks. For example, a child's arm or other soft parts may be injured by this mechanism.) If a foreign object is present, the system sends an audio and visual prompt through the connection with the vehicle computer to alert the occupants. If there is no foreign object, close the window normally.

[0030] The environmental closed-loop adjustment module continuously collects air quality parameters representing the air quality inside the vehicle and calculates the air quality status assessment value in real time if all vehicle windows are in the fully closed position; Determine whether the air quality status assessment value falls within the preset deviation range and take corresponding differentiated actions. Specifically, this module mainly monitors the interior environment after the windows are completely closed, obtains the air quality parameters in the car in real time and analyzes them. When the vehicle's windows are all closed, the vehicle is in a relatively closed state. The on-board air purifier or air-conditioning system is turned on in time, but there are still some abnormal factors that cause problems with the air quality in the car, such as damage to the on-board air purifier or air-conditioning system.

[0031] This module determines the air quality status assessment value in real time based on the air quality parameters, and evaluates it in combination with the normal air quality status assessment value range. If it is within the normal air quality status assessment value range, a null instruction is generated (no processing is performed).

[0032] If the air quality status assessment value is not within the normal air quality status assessment value range, it means that the air quality status assessment value at this time falls within the preset deviation range, and a corresponding differentiated action is taken; Specifically: determine the weather conditions at the vehicle's current location. If the weather conditions are abnormal, the operator will be reminded through sound and light to make manual adjustments. If the weather conditions are normal, an opening instruction will be directly generated to adjust the windows and open the windows for ventilation.

[0033] Example 2 This embodiment discloses a smart window control method based on multi-source data fusion in combination with embodiment 1. Figure 2 As shown, specifically including the following: As described in Example 1, it is first necessary to obtain the vehicle's longitude and latitude coordinates to determine the current time, and use the vehicle's built-in GNSS or GPS positioning system to determine the vehicle's longitude and latitude coordinates at the current moment, denoted as P(x, y), where x represents longitude and y represents latitude.

[0034] Then, the vehicle computer system is used to interact with the Internet to obtain the satellite weather map released in real time by the meteorological center, which is recorded as S.

[0035] The determined vehicle longitude and latitude coordinates P(x, y) are then mapped to the acquired satellite weather map S to obtain the target position of the vehicle longitude and latitude coordinates P(x, y) (indicating the position of the vehicle in the satellite weather map S), and the target position is represented as P1(x1, y1).

[0036] Then, based on the satellite meteorological center, the air quality index AQI, ultraviolet intensity UV, precipitation Prcp and wind speed WP associated with the target position P1 (x1, y1) are obtained (the air quality index AQI, ultraviolet intensity UV, precipitation Prcp and wind speed WP are all available data released by the meteorological center, and can be obtained by real-time interconnection with the meteorological center).

[0037] Then obtain the maximum limit values ​​preset by the operator for air quality index, ultraviolet intensity, precipitation and wind speed: air quality index limit value AQI MAX , UV intensity limit value UV MAX , precipitation limit value Prcp MAX And the wind force limit WP MAX .

[0038] By using the normalization function F_A=min(A / A MAX,1) Standardize the air quality index AQI, ultraviolet intensity UV, precipitation Prcp and wind speed WP respectively, so as to obtain the standardized values ​​associated with the air quality index AQI, ultraviolet intensity UV, precipitation Prcp and wind speed WP, ​​where A represents AQI, UV, Prcp and WP, ​​A MAX Indicates the air quality index limit value AQI MAX , UV intensity limit value UV MAX , precipitation limit value Prcp MAX And the wind force limit WP MAX .

[0039] It should be noted that if the normalization function F_A=min(A / A MAX ,1) In the process of normalizing the air quality index AQI, ultraviolet intensity UV, precipitation Prcp and wind force WP to obtain standardized values, if the standardized value F_A of any one of the air quality index AQI, ultraviolet intensity UV, precipitation Prcp and wind force WP is equal to 1, a shutdown instruction is directly generated.

[0040] Then, the normalized values ​​of the air quality index AQI, ultraviolet intensity UV, precipitation Prcp and wind speed WP after normalization are expressed as: F_AQI, F_UV, F_Prcp and F_WP respectively; Then continue to obtain the calculation weights preset by the operator, as follows: The calculation weight α of the air quality index AQI; The calculation weight β of ultraviolet intensity UV; The calculation weight γ of precipitation Prcp; The calculation weight δ of wind power WP; Among them, α+β+γ+δ=1, and α, β, γ, and δ are all greater than 0 and less than 1; Using the weighted summation formula: AQI*α+UV*β+Prcp*γ+WP*δ=WSI Calculate the weather state index WSI (quantified weather state) of the target position P1(x1,y1) where the vehicle is located in the satellite weather map S at the current time; Then, the weather state index threshold WSI preset by the operator is extracted again YU (This value is usually determined directly by the operator and can be customized by the user within a certain safety range later on); Then the calculated weather state index WSI and the weather state index threshold WSI YU Make a comparison; If the weather state index WSI is greater than or equal to the weather state index threshold WSI YU , a close instruction is generated; If the weather state index WSI is less than the weather state index threshold WSI YU , an empty instruction is generated. Regardless of whether the generated instruction is a closing instruction or an empty instruction, it will be displayed.

[0041] As described in Example 1, when it is detected that the window control command is a closing command, it means that the preset trigger condition is met (the closing command is the preset trigger condition, and the null command is not the preset trigger condition, and the null command means no operation is performed); Obtaining the window status representing the window's position at the current time (as described in Example 1, the window status can be monitored using a millimeter-wave radar and an infrared optical sensor installed around the window. In addition, existing technologies also have practical applications, such as pressure detection technology); If the window is closed at the current time, it indicates that the window is in the fully closed position and no further processing is required, satisfying the displayed closing instruction; If the window is currently open, it indicates that the window is not in a fully closed position (the window needs to be closed, but before closing the window, corresponding detection and evaluation are required to determine the feasibility of closing the window, and adaptive processing is performed based on the feasibility of closing the window.

[0042] As described in Example 1, a millimeter-wave radar and an infrared optical sensor installed around the window are used to obtain the distance between the current window position and the fully closed position, and record this distance as H. Then obtain the millimeter wave radar point cloud dataset Q around the window at the current time RAD And infrared optical sensor data Q INF (Millimeter wave radar point cloud dataset Q RAD The infrared optical sensor data needs to be limited to a certain range. This step is determined by the vehicle development engineer before the vehicle leaves the factory to ensure that the millimeter-wave radar and infrared optical sensor around the window only detect the window area).

[0043] Then, by combining the millimeter wave radar point cloud dataset Q RAD And infrared optical sensor data Q INF , forming a spatial perception dataset Ω={Q RAD , Q INF} (The double determination method is used to further improve the accuracy of the relevant data around the vehicle window. This step is covered by the existing technology and will not be described in detail in this solution).

[0044] Next, based on the spatial perception dataset Ω={QRAD , Q INF Perform spatiotemporal alignment processing (which is covered by the existing technology and will not be described in detail) to obtain the point cloud feature vector within the three-dimensional area of ​​the window closed path. (Corresponding to the distance H between the current window position and the fully closed position).

[0045] Then, obtain the standard point cloud feature vector corresponding to the window from the fully open state through the normal window closing path (This step can be determined according to the corresponding model at the factory stage, and the standard point cloud feature vector Stored in the storage system of the corresponding vehicle computer for subsequent retrieval).

[0046] Combined with the standard point cloud feature vector And the distance H determines the standard point cloud feature vector associated with the fully closed position of the window at the current time (The actual distance from the current window position to the actual fully closed position is intercepted and associated with the distance H between the current window position and the fully closed position. The larger the distance H, the longer the distance. The standard point cloud feature vector The more data there is, the shorter the distance will be. The standard point cloud feature vector The amount of data is less).

[0047] Next, the determined point cloud feature vector needs to be and the intercepted standard point cloud feature vector Perform point cloud feature comparison and calculate point cloud feature vector Compared with the standard point cloud feature vector The difference rate between (The different part is considered to be the part where foreign matter exists).

[0048] If the calculated difference rate Exceeded %, it is considered that there is a foreign object in the distance between the window and the fully closed position at the current time, and the feasibility of closing the window is not feasible, and a prompt information is conveyed to the passengers in the car through non-mechanical means (in the form of sound and light reminders).

[0049] If the difference rate No more than %, then the closing feasibility is considered feasible, and the window is regulated to perform the closing operation, wherein, Values ​​preset for the operator.

[0050] The above steps are preliminary adjustments to the vehicle windows, with the goal of dynamically adjusting the windows in real time in association with the weather conditions. However, as described in Example 1, when all the windows are completely closed, the interior of the vehicle is relatively closed. Therefore, it is necessary to monitor the air quality parameters in the vehicle in real time and further adjust the windows. The specific steps are as follows: First, all the vehicle windows need to be monitored. If it is determined that all the vehicle windows are in the fully closed position, the air quality status assessment program is started. Otherwise, the air quality status assessment program does not need to be started to reduce energy consumption.

[0051] Next, obtain the air quality parameter collection cycle preset by the operator (Subsequent operations are all within one acquisition cycle is implemented within a collection cycle, and when After the end, directly enter the next collection cycle , to achieve uninterrupted monitoring).

[0052] Based on the determined acquisition period T kq , use automotive-grade gas sensors (the automotive-grade gas sensors are part of the existing technology) to continuously collect air quality parameters inside the vehicle.

[0053] The air quality parameters include carbon dioxide concentration, particulate matter concentration and total volatile organic compound concentration.

[0054] Next, determine the collection cycle Any moment within (Subsequent operations are based on time Perform sample operations, and the rest of the time is based on the processing time Follow the same steps as above).

[0055] The vehicle-grade gas sensor is used to collect the time The associated carbon dioxide concentration, particulate matter concentration, and total volatile organic compound concentration are recorded as: 、 as well as .

[0056] Then obtain the upper safety thresholds preset by the operator for carbon dioxide concentration, particulate matter concentration, and total volatile organic compound concentration, and record them as: 、 as well as .

[0057] Then, by using the normalization function F_B=min(B / B -MAX ,1), the collected carbon dioxide concentration , particulate matter concentration and total volatile organic compound concentrations Standardization is performed, where B represents 、 as well as .

[0058] So far, the carbon dioxide concentration is obtained , particulate matter concentration and total volatile organic compound concentrations The air quality parameters after standardization are marked as: standard carbon dioxide concentration F_ , standard particle concentration F_ And the standard total volatile organic compound concentration F_ .

[0059] Then obtain the weight distribution coefficients preset by the operator for carbon dioxide concentration, particulate matter concentration and total volatile organic compound concentration, which are: carbon dioxide concentration weight , particle concentration weight , total volatile organic compound concentration weight .

[0060] By using the weighted summation formula: AVQ= *F_ + *F_ + *F_ Calculate the time The air quality status assessment value AVQ in the car, where , particle concentration weight , total volatile organic compound concentration weight The sum of is 1, and , particle concentration weight , total volatile organic compound concentration weight Both are greater than 0 and less than 1.

[0061] Then the time The air quality status assessment value AVQ is compared with the normal air quality status assessment value interval predefined by the operator, and the normal air quality status assessment value interval and the deviation interval are complementary.

[0062] If the air quality state assessment value AVQ is within the normal air quality state assessment value range, it means that it does not fall within the deviation range, and a null instruction is generated, indicating that no adjustment is required for the vehicle window and the current state remains unchanged; If the air quality status assessment value AVQ is within or outside the air quality status assessment value interval, it means that it falls within the deviation interval, then the time is obtained. The weather conditions at the vehicle's location: if the weather conditions are normal, an opening command is generated to adjust the windows and open them (this step requires the aforementioned step of detecting whether there are foreign objects in the windows, rather than directly opening them); If the weather conditions are abnormal, the abnormal air quality status information will be transmitted to the passengers in the car in a non-mechanical manner (through sound and light reminders).

[0063] Some of the data in the formulas described above are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0064] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in similar ways. As long as they do not deviate from the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

[0065] It is important to note that all user data collected in this application is collected with the user's consent and authorization. Furthermore, the use of user data is legal and compliant, and the use and processing of user data complies with the relevant laws, regulations, and standards of the relevant regions.

Claims

1. An intelligent window control method based on multi-source data fusion, characterized in that: This method includes the following: Step 1: Obtain the vehicle's longitude and latitude coordinates in real time, then obtain a satellite weather map based on the satellite meteorological center, determine the target location of the vehicle's longitude and latitude coordinates in the satellite weather map in real time, assess the weather conditions at the vehicle's current location based on the satellite weather map, and generate window adjustment instructions based on the weather conditions for display; Step 2: When the window control command meets the preset trigger condition, the window state of the vehicle representing the current time is obtained; If the window status indicates that the window is in the fully closed position, no processing is performed; If the window state indicates that the window is in a non-fully closed position, performing an adaptation process corresponding to the window state; Step 3: If all windows of the vehicle are in the fully closed position, continuously collect air quality parameters representing the air quality inside the vehicle and calculate the air quality status assessment value in real time; Determine whether the air quality status assessment value falls within the preset deviation range and take corresponding differentiated actions.

2. The intelligent window control method based on multi-source data fusion according to claim 1, characterized in that: In the step 1, the window control command includes an open command, a close command and a null command; Open command: adjust the window to open state; Close command: adjust the window to the closed state; Empty instruction: maintain the current state unchanged.

3. The intelligent window control method based on multi-source data fusion according to claim 1, characterized in that: In step 1, the specific method of determining the target position of the vehicle's longitude and latitude coordinates in the satellite weather map in real time is: Determine the vehicle's latitude and longitude coordinates P(x,y) at the current time, where x is longitude and y is latitude; Get the satellite weather map S at the current time; Map P(x,y) to S and get the target position of P(x,y), marked as P1(x1,y1).

4. The intelligent vehicle window control method based on multi-source data fusion according to claim 3, characterized in that: In step 1, the specific method of evaluating the weather conditions at the current vehicle location and generating and displaying the window control instructions based on the weather conditions is as follows: Get the target position P1(x1,y1); Based on the satellite weather map S, the air quality index AQI, ultraviolet intensity UV, precipitation Prcp and wind speed WP at P1(x1,y1) are obtained; Get the maximum limit values ​​preset by the operator for AQI, UV, Prcp and WP: AQI MAX 、UV MAX 、Prcp MAX and WP MAX ; Use F_A=min(A / A MAX ,1) AQI, UV, Prcp and WP are normalized to obtain the normalized values: F_AQI, F_UV, F_Prcp and F_WP, where A represents AQI, UV, Prcp and WP; Get the calculation weights preset by the operator, AQI is α, UV is β, Prcp is γ, WP is δ; α+β+γ+δ=1, and α, β, γ, and δ are all greater than 0 and less than 1; The weather state index WSI of the target position P1(x1,y1) is calculated using weighted summation; Then obtain the weather status index threshold WSI preset by the operator YU ; WSI WSI YU , generate a close instruction; WSI WSI YU , generate empty instructions; Display the generated close instruction or empty instruction.

5. The intelligent vehicle window control method based on multi-source data fusion according to claim 4, characterized in that: In the step 1, if any normalized value F_A is equal to 1, a close instruction is directly generated.

6. The intelligent vehicle window control method based on multi-source data fusion according to claim 4, characterized in that: In the step 2, the preset trigger condition is a close instruction; When it is detected that the window control command is a closing command, it means that the preset trigger condition is met; Get the window status at the current time; If the window is closed, it indicates that the window is in the fully closed position and no action is taken; If the window is in the open state, it indicates that the window is in a non-fully closed position, evaluates the feasibility of closing the current window, and performs adaptive processing based on the closing feasibility.

7. The intelligent vehicle window control method based on multi-source data fusion according to claim 6, characterized in that: In step 2, the feasibility of closing the current window is evaluated, and the specific method of performing the adaptation process based on the feasibility of closing is as follows: Use the millimeter-wave radar and infrared optical sensor installed on the side of the car window to obtain the distance H between the current window position and the fully closed position and the millimeter-wave radar point cloud dataset Q around the car window at the current time RAD And infrared optical sensor data Q INF ; United Q RAD and Q INF , forming a spatial perception dataset Ω={Q RAD , Q INF }; For the spatial perception dataset Ω={Q RAD , Q INF Perform spatiotemporal alignment processing to extract the point cloud feature vector within the three-dimensional area of ​​the window closed path ; Obtain the standard point cloud feature vector corresponding to the path of the window from fully open state to window closed state of the corresponding vehicle model based on factory data ; Combined with standard point cloud feature vector And the distance H determines the standard point cloud feature vector associated with the fully closed position of the window at the current time ; Will and Perform point cloud feature comparison and calculate and The difference rate ; If the difference rate %, the feasibility of closing the window is considered to be unfeasible, and a prompt message is conveyed to the occupants in the car through non-mechanical means; Otherwise, the window closing feasibility is considered feasible, and the window is regulated to perform the closing operation, wherein, Values ​​preset for the operator.

8. The intelligent vehicle window control method based on multi-source data fusion according to claim 1, characterized in that: In step 3, the specific method of continuously collecting air quality parameters representing the air quality in the vehicle and calculating the air quality status assessment value in real time is: Monitor all vehicle windows. If all windows are in the fully closed position, start the air quality status assessment program: Get the air quality parameter collection cycle preset by the operator ; In any collection cycle Continuously collect the air quality parameters inside the car; Air quality parameters include carbon dioxide concentration, particulate matter concentration and total volatile organic compound concentration; Determine any collection cycle Any moment within The carbon dioxide concentration, particulate matter concentration and total volatile organic compound concentration in the car are recorded as 、 as well as ; Get the upper limit of the safety threshold preset by the operator: 、 as well as ; Use the normalization function F_B=min(B / B -MAX ,1) Standardize the air quality parameters respectively, where B represents 、 as well as ; Extract the standardized air quality parameters: standard carbon dioxide concentration F_ , standard particle concentration F_ And the standard total volatile organic compound concentration F_ ; Get the weight distribution coefficient preset by the operator: CO2 concentration weight , particle concentration weight , total volatile organic compound concentration weight ,in, + =1, and 、 Both are greater than 0 and less than 1; The time is calculated by weighted summation The air quality status assessment value AVQ in the car.

9. The intelligent vehicle window control method based on multi-source data fusion according to claim 8, characterized in that: In step 3, the specific method of determining whether the air quality status assessment value falls within the preset deviation range and taking a corresponding differentiated action is as follows: Extraction time The air quality status assessment value AVQ in the vehicle is compared with the normal air quality status assessment value range predefined by the operator; If AVQ is within the normal air quality status assessment value interval, it means that it does not fall within the deviation interval, and a null instruction is generated, wherein the deviation interval is complementary to the normal air quality status assessment value interval; On the contrary, it means that it falls within the deviation range, and the time is obtained The weather conditions at the vehicle's location and determine differentiated actions; Among them, differentiated actions include: If the weather state is normal, an opening instruction is generated; If the weather condition is abnormal, the abnormal air quality condition information is transmitted to the passengers in the vehicle in a non-mechanical manner.

10. An intelligent window control system based on multi-source data fusion, characterized in that: This system includes the following: The weather perception and decision-making module obtains the vehicle's longitude and latitude coordinates in real time, then obtains a satellite weather map based on the satellite meteorological center, determines the target location of the vehicle's longitude and latitude coordinates in the satellite weather map in real time, assesses the weather conditions at the vehicle's current location based on the satellite weather map, and generates window control instructions based on the weather conditions for display; The window execution control module obtains the window status of the vehicle at the current time when the window control command meets the preset trigger condition; If the window status indicates that the window is in the fully closed position, no processing is performed; If the window state indicates that the window is in a non-fully closed position, performing an adaptation process corresponding to the window state; The environmental closed-loop adjustment module continuously collects air quality parameters representing the air quality inside the vehicle and calculates the air quality status assessment value in real time if all vehicle windows are in the fully closed position; Determine whether the air quality status assessment value falls within the preset deviation range and take corresponding differentiated actions.

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