An in-vehicle abnormal air detection method, device, equipment and medium

Abstract

The application discloses an in-vehicle abnormal air detection method, device, equipment and medium, and is applied to the technical field of in-vehicle air purification. The method comprises the following steps: acquiring the speed of airflow in a target direction of a vehicle, the target direction being the direction in which the rear seat of the vehicle points to the front seat; performing abnormal detection on the vehicle area corresponding to each airflow according to the speed of each airflow to obtain an abnormal detection result of each vehicle area, the abnormal detection result being used for judging whether to optimize the air in the corresponding vehicle area; and the vehicle area corresponding to the airflow corresponds to the collection range of the airflow sensor collecting the airflow. The embodiment of the application can improve the accuracy of in-vehicle air purification.

Description

Technical Field

[0001] This invention relates to the field of in-vehicle air purification technology, and in particular to a method, device, equipment and medium for detecting abnormal air in a vehicle. Background Technology

[0002] With the increasing demands for vehicle comfort and health and safety, in-vehicle air conditioning and airflow control technology have gradually become an important component of passenger cabin environmental regulation. Especially in multi-occupant scenarios, the airflow patterns between different occupants directly affect the riding experience and air hygiene. When occupants sneeze or cough, it can lead to air pollution. Compared to the front row, rear occupants are typically in a relatively enclosed space with weaker airflow organization. Furthermore, the closer proximity of rear occupants and the lack of independent air vents make airflow more prone to stagnation and cross-diffusion in the rear area. Therefore, how to finely regulate the airflow patterns in different sub-areas of the rear seats to improve the local air environment has become a pressing technical problem in the field of in-vehicle environmental control.

[0003] Currently, existing technologies typically use automatic air conditioning and air purification systems to regulate the air inside the vehicle, and use air quality sensors to monitor the pollution level in the entire cabin. Only when the concentration of pollutants exceeds the standard will the air inside the vehicle be purified.

[0004] However, existing technologies only respond after pollution has spread to a certain extent, and they cannot identify minor air quality deterioration events caused by occupants coughing or sneezing. Summary of the Invention

[0005] This invention provides a method, device, equipment, and medium for detecting abnormal air quality inside a vehicle. The embodiments of this invention can improve the accuracy of air purification inside a vehicle.

[0006] In a first aspect, embodiments of the present invention provide a method for detecting abnormal air quality inside a vehicle, the method comprising:

[0007] The speed of airflow in a target direction in the vehicle is obtained. The target direction is the direction from the rear seats to the front seats. The airflow in the target direction is collected by an airflow sensor located on the back cover of the headrest of the front seats.

[0008] Based on the velocity of each airflow, anomaly detection is performed on the vehicle area corresponding to each airflow, and anomaly detection results are obtained for each vehicle area. These results are used to determine whether air optimization is needed in the corresponding vehicle area. The vehicle area corresponding to the airflow corresponds to the acquisition range of the airflow sensor that collected the airflow. Secondly, this invention also provides an in-vehicle abnormal air detection device, which includes:

[0009] The data acquisition module is used to acquire the speed of the airflow in the target direction in the vehicle. The target direction is the direction from the rear seats to the front seats. The airflow in the target direction is collected by the airflow sensor configured on the back cover of the headrest of the front seats.

[0010] The anomaly detection module is used to detect anomalies in the vehicle areas corresponding to each airflow based on the speed of each airflow, and obtain the anomaly detection results for each vehicle area. The anomaly detection results are used to determine whether the air in the corresponding vehicle area should be optimized. The vehicle area corresponding to the airflow corresponds to the collection range of the airflow sensor that collects the airflow.

[0011] Thirdly, embodiments of the present invention also provide an in-vehicle abnormal air detection device, the in-vehicle abnormal air detection device comprising:

[0012] At least one processor; and

[0013] A memory that is communicatively connected to at least one processor; wherein,

[0014] The memory stores a computer program that can be executed by at least one processor, such that the at least one processor is able to perform the in-vehicle abnormal air detection method according to any embodiment of the present invention.

[0015] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing computer instructions, which are used to cause a processor to execute the in-vehicle abnormal air detection method of any embodiment of the present invention.

[0016] The technical solution of this invention, by limiting airflow detection to a target direction from the rear seats to the front seats and using an airflow sensor installed on the back cover of the front seat headrest for data collection, can achieve directional acquisition of airflow velocity along this specific path from the rear seats to the front seats. This gives the collected airflow data clear directionality and spatial specificity, improving the effectiveness and analyzability of airflow information. By using anomaly detection based on airflow velocity in corresponding vehicle areas, the physical changes in airflow can be transformed into judgments of whether the air conditions in each area are abnormal, thus enabling the airflow data to characterize changes in air conditions within different vehicle areas. By utilizing anomalies... Using the detection results as the basis for determining whether to perform air optimization allows for selective processing of vehicle areas with anomalies, thus avoiding uniform adjustment of all areas and improving the targeting of air conditioning. By mapping the vehicle area corresponding to the airflow to the collection range of the airflow sensor, a clear correlation can be established between airflow data and specific vehicle areas, enabling anomaly detection results to accurately locate specific areas and improving the consistency between detection and subsequent processing. This solves the technical problem that existing technologies only respond after pollution has spread to a certain extent and cannot identify minor air quality decline events caused by occupants coughing or sneezing, thereby improving the accuracy of in-vehicle air purification.

[0017] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 A flowchart of a method for detecting abnormal air quality inside a vehicle, provided by an embodiment of the present invention;

[0020] Figure 2 A flowchart of a method for detecting abnormal air quality inside a vehicle, provided by an embodiment of the present invention;

[0021] Figure 3 This is a schematic diagram of the structure of an abnormal air detection device inside a vehicle provided in an embodiment of the present invention;

[0022] Figure 4 This is a schematic diagram of the structure of an abnormal air detection device inside a vehicle, provided in an embodiment of the present invention. Detailed Implementation

[0023] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0025] In the technical solutions of the embodiments of the present invention, the acquisition, storage and application of airflow speed and other parameters in the target direction all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0026] Figure 1 This is a flowchart illustrating a method for detecting abnormal air quality inside a vehicle, as provided in an embodiment of the present invention. This embodiment is applicable to situations where air quality slightly declines due to actions such as coughing or sneezing by vehicle occupants, and where air purification is performed to address such minor air quality declines. This method can be executed by an abnormal air quality detection device inside the vehicle, which can be implemented in hardware and / or software.

[0027] See Figure 1 The method for detecting abnormal air quality inside a vehicle, as shown, includes:

[0028] S101. Obtain the speed of airflow in the target direction in the vehicle. The target direction is the direction from the rear seats to the front seats. The airflow in the target direction is collected by an airflow sensor located on the back cover of the headrest of the front seats.

[0029] The target direction can refer to a specific spatial direction within the vehicle used for airflow detection. Specifically, the target direction is the direction from the rear passenger's position towards the back of the front seat headrest, i.e., the direction in which the rear passenger exhales or disturbs the airflow towards the front headrest. For example, when a rear passenger speaks, sneezes, or coughs while the vehicle is in motion, the exhaled air travels forward along their face and impacts the back of the front seat headrest. An airflow sensor located on the back of the headrest can detect changes in airflow speed along this direction. If the airflow speed significantly increases or decreases, it can be used to determine if there is an abnormality in the airflow along that path.

[0030] The airflow sensor, which is used to acquire airflow velocity data in a target direction, is the fundamental device for airflow detection in this invention. Its installation location is on the back cover of the front seat headrest, enabling it to effectively collect airflow information from the rear seats to the front. When rear air flows forward, the sensor can detect the airflow velocity in that direction in real time.

[0031] Preferably, an airflow sensor is embedded in the inner side of the rear cover of the front driver's headrest and the front passenger's headrest. The headrest rear cover is the shell of the front seat headrest near the rear seat, and its surface has several fine ventilation holes. Airflow can enter the headrest through the ventilation holes and be collected by the airflow sensor. This installation position can avoid the sensor being blocked or collided with to the greatest extent, and can directly collect the airflow from the rear seat to the front seat, with the highest collection accuracy. This position is the optimal implementation method.

[0032] In addition to the optimal installation location mentioned above, this method does not impose a unique limitation on the installation location of the airflow sensor. Specific optional locations include, but are not limited to: the upper part of the front seat back (near the headrest), embedded installation, with the sensor's collection surface facing the rear seats, ensuring that the collection direction is from the rear seats to the front seats; the area of ​​the vehicle's interior ceiling near the front headrest, suspended installation, with the sensor's collection surface vertically downward and facing the rear seats, which can cover the entire airflow area between the front and rear seats.

[0033] In this embodiment, in addition to the airflow sensor on the back cover of the front headrest, an auxiliary airflow sensor is installed on each of the left and right sides of the upper part of the rear seat back to supplement the collection of airflow from different areas of the rear row towards the front row and improve the detection coverage.

[0034] S102. Based on the speed of each airflow, perform anomaly detection on the vehicle area corresponding to each airflow to obtain the anomaly detection result for each vehicle area. The anomaly detection result is used to determine whether to optimize the air in the corresponding vehicle area. The vehicle area corresponding to the airflow corresponds to the collection range of the airflow sensor that collected the airflow.

[0035] The vehicle area refers to the space behind the front seat headrest structure within a vehicle, specifically the area behind the headrest where airflow sensors and fans are installed. This area encompasses a certain range of airflow action facing the rear passengers. As the spatial carrier for airflow detection, the vehicle area provides a clear spatial classification for airflow data. For example, if an airflow sensor and a miniature fan are installed behind the left-side front seat headrest, the space behind that headrest facing the left rear passenger can be defined as a vehicle area. When an abnormal airflow velocity is detected within this area, the fan inside the headrest can be directly controlled to provide or turbulent airflow, thereby improving the airflow in that area. Multiple vehicle areas can be included within the same vehicle cabin.

[0036] Anomaly detection refers to the process of determining whether an air pollution event caused by passenger behavior exists within the vehicle area based on the collected airflow velocity. Air pollution events include situations where passengers sneeze, cough, or exhale forcefully, causing a sudden increase in air pollutants. When a passenger sneezes or coughs, a high-speed airflow is ejected outward for a short period. This airflow typically has the following characteristics: a significant increase in airflow velocity within a short time; a clear directionality (e.g., from the rear seats to the front headrests); and sudden and pulsating changes in airflow. By collecting airflow velocity in the target direction using airflow sensors and performing time-series analysis, these abnormal airflow characteristics can be identified, indirectly determining whether a passenger sneezing or similar air pollution event has occurred. For example, when a rear passenger suddenly sneezes, a momentary high-speed airflow is generated, propagating from the rear seats towards the front headrests. At this time, an airflow sensor installed on the back of the front headrests will detect a significant increase in airflow velocity within a very short time. Anomaly detection is performed based on these airflow characteristics.

[0037] The anomaly detection result refers to the conclusion regarding whether an air pollution event (such as sneezing or coughing) caused by passenger behavior has occurred within the vehicle area. The anomaly detection result is derived from the analysis of airflow velocity change characteristics. When the airflow sensor detects a sudden increase or short-term, drastic fluctuation in airflow velocity in the target direction, a pollution event is determined to exist; conversely, when the airflow change is within a stable range, no pollution event is determined to have occurred. In this invention, the anomaly detection result is primarily used as a direct criterion for determining whether to activate air optimization.

[0038] Optimization refers to the process of specifically adjusting and improving the air quality in a vehicle area after an air pollution incident is detected. When anomaly detection indicates a pollution incident in a certain area, active intervention is performed by controlling fans or related air handling devices located at the headrests. For example, this might involve strengthening local airflow disturbances to rapidly disperse or dilute pollutants, or guiding airflow to change direction to prevent pollutants from spreading to other occupants. Optimization is used to quickly respond to pollution incidents, reduce the concentration of pollutants in localized areas, and prevent the spread of polluted air throughout the vehicle cabin, thereby improving overall air quality.

[0039] The acquisition range refers to the spatial area within the vehicle where the airflow sensor can effectively detect airflow information, i.e., the airflow sensing area covered by the sensor. In this invention, the airflow sensor is installed on the back cover of the front headrest, and its acquisition range mainly covers a certain spatial area behind the headrest facing the rear passengers. The acquisition range is used to determine the spatial source of the airflow data, ensuring that each set of airflow data corresponds to a specific vehicle area, and ensuring that the detection results and subsequent optimization operations operate within the same spatial range.

[0040] As can be seen, in this embodiment, by limiting airflow detection to a target direction from the rear seats to the front seats and using an airflow sensor installed on the back cover of the front seat headrest for data collection, the airflow velocity along this specific path from the rear seats to the front seats can be directionally acquired. This gives the collected airflow data clear directionality and spatial specificity, improving the effectiveness and analyzability of the airflow information. By detecting anomalies in corresponding vehicle areas based on airflow velocity, the physical changes in airflow can be transformed into a judgment result on whether the air state in each area is abnormal. This allows the airflow data to be used to characterize changes in the air state in different vehicle areas. By utilizing anomalies... Using the detection results as the basis for determining whether to perform air optimization allows for selective processing of vehicle areas with anomalies, thus avoiding uniform adjustment of all areas and improving the targeting of air conditioning. By mapping the vehicle area corresponding to the airflow to the collection range of the airflow sensor, a clear correlation can be established between airflow data and specific vehicle areas, enabling anomaly detection results to accurately locate specific areas and improving the consistency between detection and subsequent processing. This solves the technical problem that existing technologies only respond after pollution has spread to a certain extent and cannot identify minor air quality decline events caused by occupants coughing or sneezing, thereby improving the accuracy of in-vehicle air purification.

[0041] In an optional embodiment, Figure 2The flowchart of an in-vehicle abnormal air detection method provided by an embodiment of the present invention refines the process of "performing anomaly detection on the vehicle area corresponding to each airflow based on the speed of each airflow, and obtaining the anomaly detection result for each vehicle area" into "for each airflow, determining the preliminary detection result based on the airflow speed; when the preliminary detection result is abnormal, obtaining the airflow speed of the vehicle area corresponding to the airflow in the current time period; the current time period is the time period determined by the historical time point and the current time point, and the duration of the current time period is a fixed duration; determining the airflow statistical result of the corresponding vehicle area in the current time period based on the airflow speed of the vehicle area corresponding to the airflow in the current time period; obtaining the anomaly detection result of the corresponding vehicle area based on the airflow statistical result of the corresponding vehicle area in the current time period", thereby improving the operation of in-vehicle abnormal air detection.

[0042] It should be noted that for parts not described in detail in the embodiments of the present invention, please refer to the descriptions in other embodiments.

[0043] See Figure 2 The method for detecting abnormal air quality inside a vehicle, as shown, includes:

[0044] S201. Obtain the speed of airflow in a target direction in the vehicle. The target direction is the direction from the rear seats of the vehicle to the front seats. The airflow in the target direction is collected by an airflow sensor located on the back cover of the headrest of the front seats.

[0045] S202. For each airflow, determine the preliminary test results based on the airflow velocity.

[0046] Preliminary detection results refer to a preliminary judgment made on whether there are any abnormalities in the air conditions of a specific vehicle area based on the current airflow velocity in that area. Inside a vehicle, when a passenger sneezes, coughs, or exhales forcefully, a significant increase in airflow is generated within a very short time, causing a sudden change in airflow velocity. By judging the current airflow velocity collected by airflow sensors, for example, by comparing it with a preset reference range, or by judging whether the change exceeds a preset level, it is possible to identify whether the instantaneous airflow has abnormal characteristics. For example, when a rear passenger suddenly sneezes, the airflow will propagate along the rear towards the front headrest, causing a significant increase in airflow velocity within a short period of time. Based on this instantaneous change in airflow velocity, the preliminary detection results for that area can be judged as abnormal.

[0047] S203. When the preliminary detection result is abnormal, obtain the airflow speed of the vehicle area corresponding to the airflow in the current time period; the current time period is the time period determined by the historical time point and the current time point, and the duration of the current time period is a fixed duration.

[0048] The airflow velocity within the current time period can refer to a set of continuous data showing the change in airflow velocity over time within a fixed time interval from a historical point in time to the current point in time, corresponding to the vehicle area. For example, after an initial detection determines an anomaly, the system acquires the airflow velocity change data for that area over the past 3 seconds. If the airflow velocity changes multiple times within this time period, it indicates that the anomaly is not a random disturbance.

[0049] S204. Based on the airflow velocity of the corresponding vehicle area in the current time period, determine the airflow statistics of the corresponding vehicle area in the current time period.

[0050] The airflow statistics result refers to the result data used to characterize the airflow change characteristics within the current time period after statistical analysis of the airflow velocity data. In this invention, the airflow statistics result can be obtained by statistically calculating the airflow velocity within a time period, for example, calculating the number of times the airflow velocity changes within the current time period.

[0051] S205. Based on the airflow statistics of the corresponding vehicle area in the current time period, obtain the anomaly detection results of the corresponding vehicle area.

[0052] As can be seen, in this embodiment, by making a preliminary judgment on each airflow based on its speed, a rapid screening of the airflow state within the vehicle area can be achieved. By obtaining the airflow speed of the corresponding vehicle area within a fixed time period when the preliminary detection result is abnormal, the temporal dimension of airflow changes can be supplemented, thus expanding the airflow data from a single moment to continuous data over a period of time, improving the sufficiency of the basis for subsequent analysis. By statistically processing the airflow speed within the current time period, continuously changing airflow data can be transformed into statistical features that can be used for judgment, providing a more stable basis for airflow state analysis. By determining the final anomaly detection result based on the airflow statistical results, the airflow state of the vehicle area can be further confirmed, thereby improving the reliability of the anomaly detection results. This enhances the stability and reliability of anomaly detection.

[0053] In some embodiments, the airflow statistics for the corresponding vehicle area during the current time period are determined based on the airflow velocity of the corresponding vehicle area during the current time period, including:

[0054] The airflow velocity frequency in the current time period is calculated based on the airflow velocity in the vehicle area corresponding to the airflow.

[0055] The airflow velocity frequency is determined as the airflow statistics result of the corresponding vehicle area in the current time period;

[0056] Based on the airflow statistics of the corresponding vehicle area within the current time period, the anomaly detection results for the corresponding vehicle area are obtained, including:

[0057] When the airflow velocity frequency is outside the standard velocity frequency range, the abnormal detection result of the corresponding vehicle area is determined to be abnormal; the standard velocity frequency range is the airflow velocity frequency range when the airflow in the vehicle area is in a stable airflow state.

[0058] When the airflow velocity frequency is within the standard rate frequency range, the abnormal detection result of the corresponding vehicle area is determined to be normal.

[0059] Airflow velocity frequency refers to the number of times the airflow velocity changes significantly compared to the previous moment within a given time period, indicating the frequency of airflow velocity changes. When the airflow inside a vehicle is stable, the changes in airflow velocity between adjacent moments are usually small, exhibiting a generally gradual trend. However, when passengers sneeze or cough, the airflow velocity changes significantly multiple times within a short period, causing the difference in airflow velocity between adjacent sampling moments to frequently exceed a certain level of variation.

[0060] The standard speed frequency range refers to the range of airflow frequency values ​​corresponding to normal airflow conditions in the vehicle area. Under normal circumstances, airflow changes inside a vehicle exhibit a certain degree of stability, and its airflow frequency typically falls within a relatively fixed range. By pre-determining the standard speed frequency range, it can serve as a reference standard for judging whether the current airflow is abnormal. When the actual frequency deviates from the standard speed frequency range, it indicates a change in the airflow state.

[0061] Stable airflow refers to a state of airflow within the vehicle area that is characterized by gentle changes and no significant sudden increases. When passengers are not engaging in drastic behavior or experiencing sudden disturbances, the airflow inside the vehicle is primarily maintained by the air conditioning system, resulting in relatively stable changes. Stable airflow is used as the basis for determining the standard speed frequency range, providing a reference for anomaly detection and ensuring consistency in test results.

[0062] As can be seen, in this embodiment, by calculating the airflow velocity frequency within the current time period, the time-series changes of airflow can be transformed into frequency characteristics, thus giving airflow changes a quantifiable expression. By using the airflow velocity frequency as the statistical result of airflow, the airflow change characteristics within this time period can be characterized by a single statistical index, thereby simplifying the subsequent judgment process. By comparing the airflow velocity frequency with the standard rate frequency range and determining anomalies when it exceeds the range, abnormal airflow changes can be identified, thus distinguishing abnormal airflow. By limiting the standard rate frequency range to the airflow velocity frequency range under stable airflow conditions, a reference benchmark based on normal operating conditions can be provided for anomaly detection, thus providing a basis for comparison in anomaly judgment. By determining normality when the airflow velocity frequency is within the standard rate frequency range, normal airflow conditions can be identified, thus completing the distinction between abnormal and normal conditions. This enables the quantitative analysis and judgment of airflow changes within the vehicle area, thus providing a unified judgment basis for anomaly detection.

[0063] In some embodiments, after performing anomaly detection on the vehicle area corresponding to each airflow based on the speed of each airflow and obtaining the anomaly detection result for each vehicle area, the method further includes:

[0064] Identify the target area where abnormal airflow detection results indicate anomalies.

[0065] A first speed increase command is sent to the fan corresponding to the target area to increase the fan speed to the first speed; the fan is located on the back cover of the headrest of the front seat in the target area, and the fan generates airflow in a first direction; the first direction is the direction pointing to the underside of the rear seat in the target area.

[0066] The target area refers to the vehicle area identified as having abnormal airflow and requiring air conditioning treatment based on anomaly detection results. When the airflow velocity frequency in a certain area exceeds the standard range, that area is identified as having abnormal airflow and is thus selected as the target area. The target area typically corresponds to a specific airflow sensor and fan device. The target area clarifies the target of subsequent air optimization operations, enabling adjustment measures to be implemented on a specific area and improving the accuracy of the treatment.

[0067] The first speed increase command can refer to a control instruction that raises the speed of the fan corresponding to the target area to a first speed. By sending a control signal to the fan, the fan speed is increased, thereby enhancing the airflow output capacity, accelerating the airflow in the area, and achieving air disturbance and regulation. The first speed increase command is used to quickly intervene in the target area, accelerate the diffusion or guidance of abnormal airflow, and reduce the local concentration of pollutants.

[0068] As can be seen, in this embodiment, by obtaining the target area where the abnormal airflow detection result is abnormal, the vehicle area with abnormal airflow can be located, thus providing a clear target for subsequent air conditioning; by sending a first speed increase command to the fan corresponding to the target area to increase its speed, the airflow intensity in that area can be enhanced, thereby adjusting the abnormal airflow state; by configuring the fan behind the front seat headrest cover, a spatial correspondence between the fan and the target area can be established, so that the airflow generated by the fan can act on the corresponding vehicle area; by setting the airflow direction to point under the rear seats, the airflow in the target area can be guided to a specific position, thereby changing the airflow distribution in that area; thus, directional intervention in the abnormal airflow area can be achieved, thereby changing the airflow distribution.

[0069] In some embodiments, after sending a first speed increase command to the fan corresponding to the target area to increase the fan speed to the first speed, the method further includes:

[0070] Get the adjacent areas in the same row of the target area;

[0071] Send a second speed increase command to the fans in the adjacent areas of the same row to increase the fan speed to the second speed; the speed value of the first speed is greater than the speed value of the second speed.

[0072] The adjacent areas in the same row refer to other vehicle areas located in the same row of seats as the target area and spatially adjacent to it. Since the interior space is interconnected, airflow changes in the target area may affect adjacent areas. Therefore, it is necessary to identify these adjacent areas in order to coordinate airflow distribution control. These adjacent areas are used to coordinate airflow adjustment with the target area, forming a more effective airflow distribution structure through collaborative control.

[0073] The second speed increase command can refer to a control command that controls the corresponding fan in the adjacent area of ​​the same row to increase its speed to the second speed.

[0074] As can be seen, in this embodiment, by acquiring the adjacent areas in the same row of the target area, it is possible to identify the vehicle areas that are spatially adjacent to the target area, thereby providing a basis for subsequent coordinated airflow adjustment; by sending a second speed increase command to the fans corresponding to the adjacent areas in the same row, it is possible to enhance the airflow in the adjacent areas, thereby participating in the overall airflow adjustment process; by adjusting the airflow in the target area and then adjusting the airflow in the adjacent areas in the same row at a lower intensity, it is possible to achieve coordinated airflow adjustment in multiple areas, thereby making the airflow distribution hierarchical, and the adjacent areas in the same row can also shield the polluted airflow blown from the target area.

[0075] In some embodiments, the fans corresponding to adjacent areas in the same row generate airflow in a first direction and airflow in a second direction, the second direction being the direction from the front seat to the rear seat, and the airflow in the second direction forming a barrier airflow between the target area and the adjacent areas in the same row, the barrier airflow being perpendicular to the ground.

[0076] In this context, barrier airflow refers to an airflow region generated by a fan that serves a separating function between the target area and adjacent areas in the same row. When fans in adjacent areas generate airflow in a specific direction, this airflow forms a continuous airflow distribution area in space. This area can block or weaken the flow of air between different areas, thereby achieving a separation effect.

[0077] As can be seen, in this embodiment, by generating airflow in a specific direction in adjacent areas of the same row and forming a barrier airflow perpendicular to the ground between the areas, the airflow between different vehicle areas can be separated, thereby achieving a certain regional division effect in the airflow distribution.

[0078] In some embodiments, after sending a second speed increase command to the fans corresponding to adjacent areas in the same row to increase the fan speed to the second speed, the method further includes:

[0079] When the running time of the fan corresponding to the target area and the running time of the fan corresponding to the adjacent area in the same row both reach the preset time, a speed recovery command is sent to the fan corresponding to the target area and the fan corresponding to the adjacent area in the same row so that the speed of the fan corresponding to the target area and the speed of the fan corresponding to the adjacent area in the same row are restored to the value before the increase.

[0080] Among them, the speed recovery command can refer to the control command that restores the speed of the corresponding fans in the target area and the adjacent areas in the same row from the currently increased speed to the original speed before the adjustment.

[0081] As can be seen, in this embodiment, by controlling the running time of the fans corresponding to the target area and the adjacent areas in the same row, and triggering subsequent processing when both reach the preset time, the duration of the airflow adjustment process can be limited, thus giving the airflow adjustment process time control characteristics. By sending speed recovery commands to the fans corresponding to the target area and the adjacent areas in the same row, unified control of the fans that have already performed speed increases can be achieved, thereby ending the current airflow adjustment process. By restoring the fan speed to the value before the increase, the fan running state can be rolled back, thus restoring the system to its original running state. By restoring the fan speed after the airflow adjustment process has lasted for a certain period of time, closed-loop control of the airflow adjustment process can be achieved, thus restoring the system to its original state after the adjustment is completed.

[0082] Figure 3 This invention provides a schematic diagram of a vehicle interior abnormal air detection device. This invention is applicable to situations where air quality slightly declines due to actions such as coughing or sneezing by vehicle occupants, and where air purification is needed to address such events. The device can perform a method for detecting abnormal air quality inside the vehicle and can be implemented in hardware and / or software.

[0083] See Figure 3 The in-vehicle abnormal air detection device shown includes: a data acquisition module 301 and an anomaly detection module 302, wherein,

[0084] The data acquisition module 301 is used to acquire the speed of the airflow in the target direction in the vehicle. The target direction is the direction from the rear seat to the front seat. The airflow in the target direction is collected by an airflow sensor configured on the back cover of the headrest of the front seat.

[0085] The anomaly detection module 302 is used to perform anomaly detection on the vehicle area corresponding to each airflow based on the speed of each airflow, and obtain the anomaly detection result for each vehicle area. The anomaly detection result is used to determine whether the air in the corresponding vehicle area should be optimized. The vehicle area corresponding to the airflow corresponds to the collection range of the airflow sensor that collects the airflow.

[0086] The technical solution of this invention, by limiting airflow detection to a target direction from the rear seats to the front seats and using an airflow sensor installed on the back cover of the front seat headrest for data collection, can achieve directional acquisition of airflow velocity along this specific path from the rear seats to the front seats. This gives the collected airflow data clear directionality and spatial specificity, improving the effectiveness and analyzability of airflow information. By using anomaly detection based on airflow velocity in corresponding vehicle areas, the physical changes in airflow can be transformed into judgments of whether the air conditions in each area are abnormal, thus enabling the airflow data to characterize changes in air conditions within different vehicle areas. By utilizing anomalies... Using the detection results as the basis for determining whether to perform air optimization allows for selective processing of vehicle areas with anomalies, thus avoiding uniform adjustment of all areas and improving the targeting of air conditioning. By mapping the vehicle area corresponding to the airflow to the collection range of the airflow sensor, a clear correlation can be established between airflow data and specific vehicle areas, enabling anomaly detection results to accurately locate specific areas and improving the consistency between detection and subsequent processing. This solves the technical problem that existing technologies only respond after pollution has spread to a certain extent and cannot identify minor air quality decline events caused by occupants coughing or sneezing, thereby improving the accuracy of in-vehicle air purification.

[0087] In some embodiments, in order to perform anomaly detection on the vehicle area corresponding to each airflow based on the speed of each airflow and obtain the anomaly detection result for each vehicle area, the anomaly detection module 302 is specifically used for:

[0088] For each airflow, the preliminary test results are determined based on the airflow velocity;

[0089] When the initial detection result is abnormal, the airflow velocity of the vehicle area corresponding to the airflow is obtained within the current time period; the current time period is the time period determined by the historical time point and the current time point, and the duration of the current time period is a fixed duration;

[0090] Based on the airflow velocity in the corresponding vehicle area during the current time period, determine the airflow statistics for the corresponding vehicle area during the current time period.

[0091] Based on the airflow statistics of the corresponding vehicle area during the current time period, the anomaly detection results of the corresponding vehicle area are obtained.

[0092] In some embodiments, in determining the airflow statistics of the corresponding vehicle area in the current time period based on the airflow velocity of the corresponding vehicle area in the current time period, the anomaly detection module 302 is specifically used for:

[0093] The airflow velocity frequency in the current time period is calculated based on the airflow velocity in the vehicle area corresponding to the airflow.

[0094] The airflow velocity frequency is determined as the airflow statistics result of the corresponding vehicle area in the current time period;

[0095] In obtaining the anomaly detection results for the corresponding vehicle area based on the airflow statistics of the corresponding vehicle area within the current time period, the anomaly detection module 302 is specifically used for:

[0096] When the airflow velocity frequency is outside the standard velocity frequency range, the abnormal detection result of the corresponding vehicle area is determined to be abnormal; the standard velocity frequency range is the airflow velocity frequency range when the airflow in the vehicle area is in a stable airflow state.

[0097] When the airflow velocity frequency is within the standard rate frequency range, the abnormal detection result of the corresponding vehicle area is determined to be normal.

[0098] In some embodiments, after performing anomaly detection on the vehicle area corresponding to each airflow based on the speed of each airflow and obtaining the anomaly detection result for each vehicle area, the in-vehicle abnormal air detection device further includes:

[0099] The target area acquisition module is used to acquire target areas where the abnormal airflow detection result is abnormal;

[0100] The first instruction sending module is used to send a first speed increase instruction to the fan corresponding to the target area, so that the fan speed increases to the first speed; the fan is disposed on the headrest cover of the front seat in the target area, and the fan generates airflow in a first direction; the first direction is the direction pointing to the underside of the rear seat in the target area.

[0101] In some embodiments, after sending a first speed increase command to the fan corresponding to the target area to increase the fan speed to the first speed, the in-vehicle abnormal air detection device further includes:

[0102] The adjacent area module in the same row is used to obtain the adjacent areas in the same row of the target area;

[0103] Send a second speed increase command to the fans in the adjacent areas of the same row to increase the fan speed to the second speed; the speed value of the first speed is greater than the speed value of the second speed.

[0104] In some embodiments, the fans corresponding to adjacent areas in the same row generate airflow in a first direction and airflow in a second direction, the second direction being the direction from the front seat to the rear seat, and the airflow in the second direction forming a barrier airflow between the target area and the adjacent areas in the same row, the barrier airflow being perpendicular to the ground.

[0105] In some embodiments, after sending a second speed increase command to the fans corresponding to adjacent areas in the same row to increase the fan speed to the second speed, the in-vehicle abnormal air detection device further includes:

[0106] The recovery command sending module is used to send speed recovery commands to the fans corresponding to the target area and the fans corresponding to the adjacent areas in the same row when the running time of the fan corresponding to the target area and the running time of the fan corresponding to the adjacent areas in the same row both reach the preset time, so that the speed of the fan corresponding to the target area and the speed of the fan corresponding to the adjacent areas in the same row are restored to the value before the increase.

[0107] The in-vehicle abnormal air detection device provided in this embodiment of the invention can execute the in-vehicle abnormal air detection method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects for executing the in-vehicle abnormal air detection method.

[0108] Figure 4 This is a schematic diagram of the structure of an abnormal air detection device inside a vehicle, provided in an embodiment of the present invention.

[0109] like Figure 4As shown, the in-vehicle abnormal air detection device 400 includes at least one processor 401 and a memory, such as a read-only memory (ROM) 402 or a random access memory (RAM) 403, communicatively connected to the at least one processor 401. The memory stores computer programs executable by the at least one processor. The processor 401 can perform various appropriate actions and processes based on the computer program stored in the ROM 402 or loaded from storage unit 408 into the RAM 403. The RAM 403 can also store various programs and data required for the operation of the in-vehicle abnormal air detection device 400. The processor 401, ROM 402, and RAM 403 are interconnected via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0110] Multiple components in the in-vehicle abnormal air detection device 400 are connected to the I / O interface 405, including: an input unit 406, such as a keyboard or mouse; an output unit 407, such as various types of displays or speakers; a storage unit 408, such as a disk or optical disk; and a communication unit 409, such as a network card, modem, or wireless transceiver. The communication unit 409 allows the in-vehicle abnormal air detection device 400 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0111] Processor 401 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 401 performs the various methods and processes described above, such as the abnormal air detection method inside a vehicle.

[0112] In some embodiments, the in-vehicle abnormal air detection method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded into and / or installed onto the in-vehicle abnormal air detection device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by processor 401, one or more steps of the in-vehicle abnormal air detection method described above may be performed. Alternatively, in other embodiments, processor 401 may be configured to perform the in-vehicle abnormal air detection method by any other suitable means (e.g., by means of firmware).

[0113] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include: implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0114] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0115] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0116] To provide user interaction, the systems and techniques described herein can be implemented on the operational detection device, which includes: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the vehicle interior abnormal air detection device. Other types of devices can also be used to provide user interaction; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0117] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0118] A computing system can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system. It addresses the shortcomings of traditional physical hosts and Virtual Private Server (VPS) services, such as high management difficulty and weak business scalability.

[0119] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0120] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for detecting abnormal air quality inside a vehicle, characterized in that, The method includes: The speed of airflow in a target direction within the vehicle is obtained, where the target direction is the direction from the rear seats to the front seats. Based on the speed of each airflow, anomaly detection is performed on the vehicle area corresponding to each airflow to obtain the anomaly detection result for each vehicle area. The anomaly detection result is used to determine whether the air in the corresponding vehicle area should be optimized. The vehicle area corresponding to the airflow corresponds to the acquisition range of the airflow sensor that acquired the airflow.

2. The method according to claim 1, characterized in that, The step of performing anomaly detection on the vehicle area corresponding to each airflow based on the speed of each airflow, and obtaining the anomaly detection result for each vehicle area, includes: For each of the aforementioned airflows, a preliminary detection result is determined based on the airflow velocity; When the preliminary detection result is abnormal, the airflow speed of the vehicle area corresponding to the airflow is obtained in the current time period; the current time period is the time period determined by the historical time point and the current time point, and the duration of the current time period is a fixed duration. Based on the airflow velocity of the vehicle area corresponding to the airflow in the current time period, determine the airflow statistics of the corresponding vehicle area in the current time period; Based on the airflow statistics of the corresponding vehicle area during the current time period, the anomaly detection result of the corresponding vehicle area is obtained.

3. The method according to claim 2, characterized in that, The step of determining the airflow statistics of the corresponding vehicle area in the current time period based on the airflow velocity of the corresponding vehicle area in the current time period includes: The airflow velocity frequency in the current time period is calculated based on the airflow velocity in the vehicle area corresponding to the airflow in the current time period. The airflow velocity frequency is determined as the airflow statistics result of the corresponding vehicle area in the current time period; The step of obtaining the anomaly detection result of the corresponding vehicle area based on the airflow statistics of the corresponding vehicle area within the current time period includes: When the airflow velocity frequency is outside the standard velocity frequency range, the abnormal detection result of the corresponding vehicle area is determined to be abnormal; the standard velocity frequency range is the airflow velocity frequency range when the airflow in the vehicle area is in a stable airflow state. When the airflow velocity frequency is within the standard rate frequency range, the abnormal detection result of the corresponding vehicle area is determined to be normal.

4. The method according to claim 1, characterized in that, After performing anomaly detection on the vehicle area corresponding to each airflow based on the speed of each airflow and obtaining the anomaly detection result for each vehicle area, the method further includes: The target area is identified as having an abnormal airflow detection result. A first speed increase command is sent to the fan corresponding to the target area to increase the speed of the fan to a first speed; the fan is disposed on the back cover of the headrest of the front seat in the target area, and the fan generates airflow in a first direction; the first direction is the direction pointing to the underside of the rear seat in the target area.

5. The method according to claim 4, characterized in that, After sending a first speed increase command to the fan corresponding to the target area to increase the fan speed to the first speed, the method further includes: Obtain the adjacent regions in the same row of the target region; A second speed increase command is sent to the fans corresponding to the adjacent areas in the same row, so that the speed of the fans is increased to the second speed; the speed value of the first speed is greater than the speed value of the second speed.

6. The method according to claim 5, characterized in that, The fans corresponding to the adjacent areas in the same row generate airflow in a first direction and airflow in a second direction. The second direction is the direction from the front seat to the rear seat, and the airflow in the second direction forms a barrier airflow between the target area and the adjacent areas in the same row. The barrier airflow is perpendicular to the ground.

7. The method according to claim 5, characterized in that, After sending a second speed increase command to the fans corresponding to the adjacent areas in the same row, so that the speed of the fans is increased to the second speed, the method further includes: When the running time of the fan corresponding to the target area and the running time of the fan corresponding to the adjacent area in the same row both reach the preset time, a speed recovery command is sent to the fan corresponding to the target area and the fan corresponding to the adjacent area in the same row, so that the speed of the fan corresponding to the target area and the speed of the fan corresponding to the adjacent area in the same row are restored to the value before the increase.

8. A vehicle interior abnormal air detection device, characterized in that, include: The data acquisition module is used to acquire the speed of airflow in a target direction in the vehicle, wherein the target direction is the direction from the rear seat to the front seat of the vehicle; An anomaly detection module is used to perform anomaly detection on the vehicle area corresponding to each airflow based on the speed of each airflow, and obtain the anomaly detection result for each vehicle area. The anomaly detection result is used to determine whether to optimize the air in the corresponding vehicle area. The vehicle area corresponding to the airflow corresponds to the acquisition range of the airflow sensor that acquires the airflow.

9. An in-vehicle abnormal air detection device, characterized in that, The in-vehicle abnormal air detection device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the in-vehicle abnormal air detection method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the in-vehicle abnormal air detection method according to any one of claims 1-7.

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