CN113910861B - Vehicle air circulation control method and device based on information fusion - Google Patents
Vehicle air circulation control method and device based on information fusion Download PDFInfo
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- CN113910861B CN113910861B CN202111112812.1A CN202111112812A CN113910861B CN 113910861 B CN113910861 B CN 113910861B CN 202111112812 A CN202111112812 A CN 202111112812A CN 113910861 B CN113910861 B CN 113910861B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
- B60H1/008—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being air quality
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
- B60H1/00764—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being a vehicle driving condition, e.g. speed
- B60H1/00771—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being a vehicle driving condition, e.g. speed the input being a vehicle position or surrounding, e.g. GPS-based position or tunnel
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
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Abstract
The application provides a vehicle air circulation control method and device based on information fusion, wherein the method comprises the following steps: identifying whether the driving trend of the target vehicle is about to enter a specific scene, if so, adjusting the alarm threshold of the air quality sensor from the original threshold to a specific threshold corresponding to the specific scene; and judging whether the target vehicle is in a specific scene, if so, triggering to close the external circulation of the vehicle air and open the internal circulation of the vehicle air based on the specific threshold value. According to the application, a specific scene where the target vehicle is located is comprehensively judged by using various information, and based on the space-time relationship between the target vehicle and the specific scene (or pollution source), the information fusion is carried out with the AQS to improve the predictability of the AQS for judging the pollution level, and the time for triggering the closing of the air external circulation of the vehicle and the time for triggering the opening of the air external circulation of the vehicle are changed, so that the timeliness of the air circulation control of the vehicle is ensured.
Description
Technical Field
The application relates to the technical field of vehicle air circulation control, in particular to a vehicle air circulation control method and device based on information fusion.
Background
The air quality in the carriage is related to the health of the driver and the passenger, and the purpose of the internal and external circulation switching of the air is to prevent external pollution from entering the carriage, for example, when the vehicle is blocked, a large amount of tail gas containing harmful gases such as CO, HC, NH3, NO2 and the like exists in the external air, and the existence of the harmful gases needs to be detected at the moment, the air valve is closed and the internal circulation is cut.
AQS (air quality system) usually uses a gas sensor (particulate matter and temperature and humidity are added in recent years) to detect the air quality outside the vehicle, and when detecting that the absolute value of the concentration of the polluted gas in the vehicle reaches a certain threshold value or the change rate reaches a certain threshold value, or detecting that the absolute value of the concentration of the polluted gas outside the vehicle reaches a certain threshold value or the change rate reaches a certain threshold value, or comparing the difference value of the concentration of the polluted gas between the vehicle and the outside the vehicle, the air internal-external circulation switching action is triggered.
However, the existing air internal and external circulation switching control method is that when the polluted gas is detected to be re-closed, the polluted gas enters the carriage, and particularly, the response time of the sensor is considered, and the threshold value is reached, so the existing air internal and external circulation switching control method is lack of predictability.
In addition, limitations of the gas sensor itself (e.g., drift in sensor baseline) cause absolute measurement inaccuracies that can cause sensor response/recovery time inaccuracies that cause decision delays.
In order to solve the above problems, an ideal technical solution is always sought.
Disclosure of Invention
The application aims at overcoming the defects of the prior art, and provides a vehicle air circulation control method and device based on information fusion.
In order to achieve the above purpose, the technical scheme adopted by the application is as follows:
the first aspect of the application provides a vehicle air circulation control method based on information fusion, which comprises the following steps:
identifying whether the driving trend of the target vehicle is about to enter a specific scene, if so, adjusting the alarm threshold of the air quality sensor from the original threshold to a specific threshold corresponding to the specific scene;
and judging whether the target vehicle is in a specific scene, if so, triggering to close the external circulation of the vehicle air and open the internal circulation of the vehicle air based on the specific threshold value.
A second aspect of the present application provides an information fusion-based vehicle air circulation control device including a memory, a processor, and an information fusion-based vehicle air circulation control program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the information fusion-based vehicle air circulation control method as described above.
Compared with the prior art, the application has outstanding substantive characteristics and remarkable progress, and concretely comprises the following steps:
1) According to the application, a specific scene where the target vehicle is located is comprehensively judged by using various information, and based on the space-time relationship between the target vehicle and the specific scene (or pollution source), the information fusion is carried out with the AQS to improve the predictability of the AQS for judging the pollution level, and the time for triggering to close the air external circulation of the vehicle and the time for triggering to open the air external circulation of the vehicle are changed, so that the timeliness of the air circulation control of the vehicle is ensured;
2) For the condition of approaching the pollutants, the judging threshold value is reduced, namely the condition that the vehicle approaches the pollution source is known through information judgment, when the AQS has a small signal, the condition that the vehicle enters the pollution source is determined with confidence, and the external circulation is closed;
for the situation of pollutant separation, the judgment threshold value is increased, namely, through information judgment, when the vehicle is about to separate from the pollution source and the AQS signal is not completely recovered to the clean air level, the vehicle is certainly judged to separate from the pollution source, so that the external circulation is started;
3) The application can judge the specific scene of the target vehicle and the time-space relation between the target vehicle and the specific scene with the assistance of various information, so that the judgment can be made in advance when the sensor signal has a certain trend, thereby improving the reliability and accuracy of the vehicle air circulation control and reducing the influence of the limitation of the sensor on the vehicle air circulation control.
Drawings
FIG. 1 is a flow chart diagram of a vehicle air circulation control method of the present application;
FIG. 2 is a flow chart diagram of a vehicle air circulation control method of the present application;
FIG. 3 is a schematic diagram of a comparison of the air quality sensor of the present application before and after alarm threshold adjustment;
FIG. 4 is a schematic illustration of a contaminant model in a particular scenario of the present application;
FIG. 5 is a schematic diagram of the spatiotemporal relationship between a target vehicle and a particular scene of the present application;
fig. 6 is a schematic structural view of the vehicle air circulation control system of the present application.
Detailed Description
The technical scheme of the application is further described in detail through the following specific embodiments.
Example 1
The embodiment provides a vehicle air circulation control method based on information fusion, which comprises the following steps:
identifying whether the driving trend of the target vehicle is about to enter a specific scene, if so, adjusting the alarm threshold of the air quality sensor from the original threshold to a specific threshold corresponding to the specific scene;
and judging whether the target vehicle is in a specific scene, if so, triggering to close the external circulation of the vehicle air and open the internal circulation of the vehicle air based on the specific threshold value.
Specifically, the specific threshold is greater than the original threshold.
It should be noted that, as shown in fig. 3, the conventional AQS performs vehicle air circulation control by setting an original threshold value (a threshold value a of amplitude or a threshold value b of amplitude change rate) of sensor response, and when the outer circulation is closed based on the original threshold value, part of the polluted gas enters the carriage;
as shown in fig. 5, the AQS sensor has a certain response and recovery time, that is, when entering the pollution area, the AQS sensor needs a certain time to output a sufficiently obvious signal, and when exiting the pollution area, the AQS sensor also needs a certain time to recover to a level under clean air; therefore, the traditional method simply judges the conditions of entering (a) and leaving (b) pollution based on the AQS sensor signals, but the sensor has response time (pollutant adsorption) and recovery time (pollutant desorption) and can cause delay; that is, the limitations of the sensor itself can affect the timing of the switching of the internal and external circulation of the vehicle air.
It can be understood that the application can judge that the target vehicle is about to enter a (high-probability) high-pollution area, and based on the adjusted specific threshold, the external circulation of the vehicle air is triggered to be closed and the internal circulation of the vehicle air is started, and pollution around the target vehicle can be judged only by a small signal; therefore, the application greatly improves the confidence of pollution response and improves the predictability and timeliness of the response.
Specifically, definition of various scenes, equipment required for scene recognition, scene recognition conditions, and the like are shown in the following table:
further, the embodiment provides a specific implementation manner of the identification method of the specific scene: the specific scene comprises a vehicle congestion scene, a surrounding special vehicle scene, a polluted area passing scene and a semi-closed area passing scene; when the specific scene type of the target vehicle is identified, the following operations are performed:
(1) When identifying whether the target vehicle is in a vehicle congestion scene, executing: judging whether one or more of a first trigger condition, a second trigger condition and a third trigger condition are met, if yes, judging that the target vehicle is in a vehicle congestion scene;
the first triggering condition is as follows: acquiring surrounding situation awareness information of a vehicle, and determining that surrounding vehicles of a target vehicle are in a stationary state based on the surrounding situation awareness information of the vehicle; the second triggering condition is as follows: acquiring map road condition information and target vehicle position information, and determining that vehicles around a target vehicle are in a congestion state based on the map road condition information and the target vehicle position information; the third triggering condition is as follows: acquiring traffic signal lamp information, wherein the traffic signal lamp information is red lamps;
(2) When identifying whether the target vehicle is in a special vehicle scene around, executing: acquiring surrounding situation awareness information of a vehicle, and determining whether special vehicles exist in surrounding vehicles of a target vehicle or not based on the surrounding situation awareness information of the vehicle; if yes, judging that the target vehicle is in a special vehicle scene around;
(3) When identifying whether the target vehicle is in a contaminated zone passing scene, performing: acquiring map road condition information and target vehicle position information, and determining whether pollution sources exist around a target vehicle based on the map road condition information and the target vehicle position information; if yes, judging that the target vehicle is in a scene passing through the polluted area;
(4) When identifying whether the target vehicle is in a semi-enclosed area passing scene, executing: judging whether a fourth triggering condition or a fifth triggering condition is met, if yes, judging that the target vehicle is in a scene passing through a semi-closed area;
wherein, the fourth triggering condition is: acquiring surrounding situation awareness information of a vehicle, and determining that surrounding vehicles of a target vehicle are in a semi-closed area based on the surrounding situation awareness information of the vehicle; the fifth triggering condition is: and acquiring map road condition information and target vehicle position information, and determining that vehicles around the target vehicle are in a semi-closed area based on the map road condition information and the target vehicle position information.
Specifically, the specific threshold=the original threshold (1+threshold adjustment amplitude). It is understood that the threshold adjustment amplitude is adapted to a particular scene, for example, the threshold adjustment amplitude may be 1% to 30%, for example, 5%, 10%, 15%, 20%, 25%, or 30%.
It should be noted that, the vehicle air circulation control method of this embodiment is a coarse adjustment method, and recognizes that the target vehicle is about to enter a specific scene (one or more of a vehicle congestion scene, a surrounding special vehicle scene, a polluted area scene and a semi-enclosed area scene), then the alarm threshold of the air quality sensor is adjusted from the original threshold to a specific threshold, and the influence of each specific scene on the threshold adjustment amplitude is not subdivided, so as to quickly obtain the specific threshold, and quickly perform real-time vehicle air circulation control according to the specific threshold, thereby ensuring timeliness of vehicle air circulation control.
Example 2
As shown in fig. 1, in order to further improve the flexibility of vehicle air circulation control, the embodiment adds specific steps of the corresponding vehicle air circulation control method when the target vehicle is about to leave a specific scene on the basis of embodiment 1:
the specific threshold comprises a first specific threshold and a second specific threshold, wherein the first specific threshold is less than the original threshold and less than the second specific threshold; specifically, the first specific threshold=the original threshold (1-threshold adjustment amplitude), and the second specific threshold=the original threshold (1+ threshold adjustment amplitude);
when the target vehicle is about to enter a specific scene, the alarm threshold value of the air quality sensor is adjusted from the original threshold value to a first specific threshold value and a second specific threshold value;
triggering to close the vehicle air outer circulation and open the vehicle air inner circulation based on the first specific threshold when the target vehicle is in a specific scene;
when the target vehicle is about to leave a specific scene, the vehicle air external circulation is triggered to be started and the vehicle air internal circulation is triggered to be closed based on the second specific threshold value.
Further, when it is identified whether the driving trend of the target vehicle is about to enter a specific scene or whether the driving trend of the target vehicle is about to leave a specific scene, performing: acquiring one or more of target vehicle speed information, target vehicle brake information, target vehicle position information, current wind speed information and real-time shooting information as key information; a spatiotemporal relationship between the target vehicle and the particular scene (for deciding when to trigger the threshold adjustment) is determined based on the key information, by which a trend of the target vehicle is identified as being about to enter or leave a particular scene.
In a specific implementation mode, judging that a target vehicle is about to enter a scene passing through a semi-closed area according to a map and GPS positioning, adjusting an alarm threshold value of an air quality sensor from an original threshold value to 80% of the original threshold value by using a + -20% threshold value adjusting range; and a motion sensor (primary integral of the speed, secondary integral of a gyroscope and the like) for providing speed information of the target vehicle and/or a camera are combined to judge that the distance of the target vehicle enters the tunnel to reach a specified distance (such as 10 m), the target vehicle is in a scene passing through a semi-closed area, and vehicle air circulation control based on 80% of the original threshold value is triggered. When the GPS (re-acquire signal) or the motion sensor (knowing the tunnel length from the map) judges that the distance of the target vehicle is about to leave the tunnel, the vehicle air circulation control based on 120% of the original threshold value can be triggered.
According to the specific scene category to be entered by the target vehicle, an adjusted specific threshold value is obtained; based on the vehicle motion information (such as vehicle speed, brake, position, wind speed, wind power and the like), obtaining a space-time relationship (entering a ', leaving b') between the target vehicle and a specific scene so as to determine the running trend of the target vehicle; the method and the device are combined, the AQS sensor threshold value is judged in advance based on the adjusted specific threshold value, a threshold value judging result is obtained, and vehicle air circulation control is carried out based on the threshold value judging result, so that the limitation of the sensor can be overcome, and the real-time performance of decision making is improved.
In one embodiment, 20% is used as the threshold adjustment amplitude, and the corresponding adjustment strategy is shown in the following table:
it should be noted that, compared to embodiment 1, the vehicle air circulation control method of the present embodiment is a fine adjustment method, which not only identifies whether the target vehicle is about to enter a specific scene (one or more of a vehicle congestion scene, a surrounding special vehicle scene, a polluted area scene and a semi-closed area scene), but also identifies whether the target vehicle is about to leave the specific scene, and does not subdivide the influence of each specific scene on the threshold adjustment amplitude, so as to quickly obtain a first specific threshold and a second specific threshold, and quickly perform real-time vehicle air circulation control according to the first specific threshold and the second specific threshold, thereby not only advancing the timing of triggering to close the vehicle air circulation, but also advancing the timing of triggering to open the vehicle air circulation, thereby ensuring the timeliness of the vehicle air circulation control.
Example 3
In order to further improve the accuracy of vehicle air circulation control, the present embodiment considers the influence of each specific scene on the threshold adjustment amplitude; therefore, this embodiment differs from the above-described embodiment in that: different threshold adjustment magnitudes corresponding to different specific scene categories.
Specifically, different threshold adjustment magnitudes corresponding to different specific scene categories, wherein the specific scene categories include category I, category II and category III;
the class I comprises a scene passing through a semi-closed area, and the corresponding threshold adjustment amplitude is N1;
the class II comprises a (open area) vehicle congestion scene, and the corresponding threshold adjustment amplitude is N2;
the class III comprises a scene with special vehicles and a scene passing through a polluted area, and the corresponding threshold adjustment amplitude is N3;
wherein N1 > N2 > N3.
As shown in fig. 2, before identifying whether the driving tendency of the target vehicle is about to enter a specific scene, further execution is performed: constructing different pollutant models for different specific scenes; and determining the threshold adjustment amplitude corresponding to each specific scene according to the pollutant model, wherein the threshold adjustment amplitude is shown in the following table:
。
it should be noted that, the scene passing through the polluted area and the scene passing through the semi-closed area are static and have unchanged positions, while the scene of vehicle congestion and the scene of special vehicles on the periphery are dynamic and have changeable positions; thus, as shown in fig. 4, the target vehicle may be in only one specific scene, or may be in multiple specific scenes at the same time;
therefore, in order to improve the accuracy of the vehicle air circulation control, in the vehicle air circulation control method based on information fusion, when identifying whether the driving trend of the target vehicle is about to enter a specific scene, the method also identifies that the target vehicle is about to enter a plurality of specific scenes;
if the driving trend of the target vehicle is about to enter a specific scene, acquiring a corresponding threshold adjustment amplitude according to the identified specific scene category, and calculating a first specific threshold and a second specific threshold corresponding to the specific scene based on the acquired threshold adjustment amplitude and the original threshold;
if the driving trend of the target vehicle is about to enter two or more specific scenes, acquiring the threshold adjustment amplitude corresponding to each specific scene, superposing the acquired threshold adjustment amplitude and the original threshold, and calculating the corresponding first specific threshold and second specific threshold.
It should be noted that, compared to the above embodiment, the vehicle air circulation control method of the present embodiment is a more accurate fine adjustment method, which not only identifies whether the target vehicle is about to enter a specific scene, enter several specific scenes, or leave a specific scene, but also subdivides the influence of each specific scene on the threshold adjustment amplitude, integrates the complexity of the specific scene category and the specific scene (simultaneously enter several specific scenes), obtains more accurate first specific threshold and second specific threshold, and performs real-time and dynamic vehicle air circulation control according to the first specific threshold and the second specific threshold.
Example 4
The difference between this embodiment and the above embodiment is that: the specific scene comprises an atmospheric background pollution change scene, and a specific threshold value corresponding to the atmospheric background pollution change scene is 0;
when the target vehicle is about to enter an atmospheric background pollution change scene, an alarm threshold value of an air quality sensor is adjusted to be 0 from an original threshold value;
when the target vehicle is in an atmospheric background pollution change scene, the external circulation of the vehicle air is immediately triggered to be closed, and the internal circulation of the vehicle air is immediately triggered to be opened.
The embodiment also provides a specific implementation mode for identifying whether the target vehicle is in an atmospheric background pollution change scene:
judging whether one or more of a sixth trigger condition, a seventh trigger condition and an eighth trigger condition are met, if yes, judging that the target vehicle is in an atmospheric background pollution change scene;
wherein, the sixth triggering condition is: acquiring an air quality index AQI issued by an air monitoring station or a third party monitoring mechanism, wherein the air quality index AQI is larger than a preset value (for example, 100); the seventh trigger condition is: acquiring an air quality parameter outside the target vehicle, wherein the air quality parameter outside the target vehicle is smaller than a set threshold value; the eighth triggering condition is: and acquiring air quality parameters of the inside and the outside of the target vehicle, wherein the air quality parameters of the outside of the target vehicle are lower than the air quality parameters of the inside of the target vehicle.
In consideration of the specificity of the scene of the change of the background pollution of the atmosphere, the air quality in the carriage with the purifying system is better than that of the outside, especially when the atmosphere has obvious air pollution; when the acquired atmospheric background pollution value is higher (higher than the control quality measured in the carriage or higher than a preset value), the external circulation is cut off; specifically, when a target vehicle is about to enter an atmospheric background pollution change scene, an alarm threshold value of an air quality sensor is adjusted to 0 from an original threshold value; that is, when the target vehicle is in an atmospheric background pollution change scene, immediately closing the vehicle air outer circulation and opening the vehicle air inner circulation; when the target vehicle is about to leave the atmosphere background pollution change scene, the alarm threshold value of the air quality sensor is adjusted from 0 to the original threshold value.
The following table shows:
example 5
The difference between this embodiment and the above embodiment is that: before identifying whether the driving tendency of the target vehicle is about to enter the specific scene, further performing:
estimating a specific scene category and a sequence of time of passing the target vehicle based on map road condition information, predetermined path information and the departure time of the target vehicle;
according to the estimated specific scene category and the estimated sequence of time, a threshold adjustment strategy is formulated;
the threshold adjustment strategy comprises the steps of pre-estimating and pre-storing a first specific threshold value and a second specific threshold value corresponding to a specific scene, and adjusting the rotating speed of the fan in an area between the two specific scenes so as to accelerate the internal and external air circulation.
It should be noted that, the specific scene which can be estimated in advance is generally a scene passing through a polluted area, a scene passing through a semi-closed area or an atmospheric background pollution change scene, and the specific scenes are static and have unchanged positions; in the actual driving process, besides the specific scene which is estimated in advance, dynamic and position-variable specific scenes such as a vehicle congestion scene or a special vehicle scene exist around the scene;
therefore, if the specific scene which the target vehicle is about to enter is identified as the pre-estimated specific scene and only one specific scene exists, the pre-stored first specific threshold value and the pre-stored second specific threshold value are directly called to carry out real-time control on the air circulation of the vehicle;
if the specific scene which is about to enter the target vehicle is identified as a specific scene which is not estimated in advance and is a specific scene, acquiring a corresponding threshold adjustment amplitude according to the identified specific scene category, and calculating a first specific threshold and a second specific threshold corresponding to the specific scene based on the acquired threshold adjustment amplitude and an original threshold;
if the specific scene which is about to enter the target vehicle is identified as a specific scene which is not estimated in advance and is two or more than two specific scenes, acquiring a threshold adjustment amplitude corresponding to each new specific scene, overlapping the acquired threshold adjustment amplitudes and the original threshold, and calculating a corresponding first specific threshold and a corresponding second specific threshold;
if the specific scene which the target vehicle is about to enter is identified as a pre-estimated specific scene and a new specific scene (dynamic and position-variable specific scenes such as a vehicle congestion scene or a special vehicle scene exist around), a pre-stored first specific threshold value and a pre-stored second specific threshold value are read, and a corresponding first specific threshold value and a corresponding second specific threshold value are generated based on the category and the number of the new specific scenes; and combining the pre-stored first specific threshold value and the pre-stored second specific threshold value with the temporarily generated first specific threshold value and the temporarily generated second specific threshold value to perform real-time control on the air circulation of the vehicle.
It can be understood that, with respect to the above embodiment, the vehicle air circulation control method of the present embodiment belongs to a fine adjustment strategy that can be formulated in advance, and pre-determines in advance whether the target vehicle may enter a specific scene, enter several specific scenes, subdivide the influence of each specific scene on the threshold adjustment amplitude, and may further adjust the first specific threshold and the second specific threshold according to the dynamic factors in the actual driving process, and perform real-time and dynamic vehicle air circulation control according to the adjusted first specific threshold and second specific threshold.
Example 6
On the basis of the above embodiment, as shown in fig. 6, the embodiment provides a specific implementation manner of a vehicle air circulation control device based on information fusion;
the vehicle air circulation control device based on information fusion comprises a memory, a processor and a vehicle air circulation control program based on information fusion, wherein the vehicle air circulation control program based on information fusion is stored on the memory and can run on the processor, and the vehicle air circulation control program based on information fusion realizes the steps of the vehicle air circulation control method based on information fusion when being executed by the processor.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or as a combination of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided herein, it should be appreciated that the disclosed vehicle air cycle control method based on information fusion may be stored in an air conditioning assembly module, an AQS sensor module, or a separate storage medium, etc.; the disclosed apparatus and methods may be implemented in other ways. For example, the processor of the information fusion-based vehicle air circulation control device is a separate processor, or a processor of an air conditioning assembly module, etc., and the device embodiments described above are merely illustrative.
The integrated vehicle air cycle control program module based on information fusion described above may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a stand alone product. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the steps of each method embodiment may be implemented. The computer program comprises computer program code, and the computer program code can be in a source code form, an object code form, an executable file or some intermediate form and the like.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application and not for limiting the same; while the application has been described in detail with reference to the preferred embodiments, those skilled in the art will appreciate that: modifications may be made to the specific embodiments of the present application or equivalents may be substituted for part of the technical features thereof; without departing from the spirit of the application, it is intended to cover the scope of the application as claimed.
Claims (9)
1. A vehicle air circulation control method based on information fusion is characterized in that: the method comprises the following steps:
identifying whether the driving trend of the target vehicle is about to enter a specific scene, if so, adjusting the alarm threshold of the air quality sensor from the original threshold to a specific threshold corresponding to the specific scene;
judging whether the target vehicle is in a specific scene or not, if so, triggering to close the external circulation of the vehicle air and open the internal circulation of the vehicle air based on the specific threshold;
the specific threshold comprises a first specific threshold and a second specific threshold, wherein the first specific threshold is less than the original threshold and less than the second specific threshold;
when the target vehicle is about to enter a specific scene, the alarm threshold value of the air quality sensor is adjusted from the original threshold value to a first specific threshold value and a second specific threshold value;
triggering to close the vehicle air outer circulation and open the vehicle air inner circulation based on the first specific threshold when the target vehicle is in a specific scene;
when the target vehicle is about to leave a specific scene, the vehicle air external circulation is triggered to be started and the vehicle air internal circulation is triggered to be closed based on the second specific threshold value.
2. The information fusion-based vehicle air circulation control method according to claim 1, wherein the specific scene includes a vehicle congestion scene, a surrounding special vehicle presence scene, a polluted area passing scene, and a semi-closed area passing scene; when the specific scene type of the target vehicle is identified, the following operations are performed:
(1) When identifying whether the target vehicle is in a vehicle congestion scene, executing: judging whether one or more of a first trigger condition, a second trigger condition and a third trigger condition are met, if yes, judging that the target vehicle is in a vehicle congestion scene;
the first triggering condition is as follows: acquiring surrounding situation awareness information of a vehicle, and determining that surrounding vehicles of a target vehicle are in a stationary state based on the surrounding situation awareness information of the vehicle; the second triggering condition is as follows: acquiring map road condition information and target vehicle position information, and determining that vehicles around a target vehicle are in a congestion state based on the map road condition information and the target vehicle position information; the third triggering condition is as follows: acquiring traffic signal lamp information, wherein the traffic signal lamp information is red lamps;
(2) When identifying whether the target vehicle is in a special vehicle scene around, executing: acquiring surrounding situation awareness information of a vehicle, and determining whether special vehicles exist in surrounding vehicles of a target vehicle or not based on the surrounding situation awareness information of the vehicle; if yes, judging that the target vehicle is in a special vehicle scene around;
(3) When identifying whether the target vehicle is in a contaminated zone passing scene, performing: acquiring map road condition information and target vehicle position information, and determining whether pollution sources exist around a target vehicle based on the map road condition information and the target vehicle position information; if yes, judging that the target vehicle is in a scene passing through the polluted area;
(4) When identifying whether the target vehicle is in a semi-enclosed area passing scene, executing: judging whether a fourth triggering condition or a fifth triggering condition is met, if yes, judging that the target vehicle is in a scene passing through a semi-closed area;
wherein, the fourth triggering condition is: acquiring surrounding situation awareness information of a vehicle, and determining that surrounding vehicles of a target vehicle are in a semi-closed area based on the surrounding situation awareness information of the vehicle; the fifth triggering condition is: and acquiring map road condition information and target vehicle position information, and determining that vehicles around the target vehicle are in a semi-closed area based on the map road condition information and the target vehicle position information.
3. The information fusion-based vehicle air circulation control method according to claim 2, characterized in that: different threshold adjustment amplitudes corresponding to different specific scene categories, wherein the specific scene categories comprise a category I, a category II and a category III;
the class I comprises a scene passing through a semi-closed area, and the corresponding threshold adjustment amplitude is N1;
the class II comprises a vehicle congestion scene, and the corresponding threshold adjustment amplitude is N2;
the class III comprises a scene with special vehicles and a scene passing through a polluted area, and the corresponding threshold adjustment amplitude is N3;
wherein N1 > N2 > N3.
4. The information fusion-based vehicle air circulation control method according to claim 1, characterized in that: the specific scene comprises an atmospheric background pollution change scene, and a specific threshold value corresponding to the atmospheric background pollution change scene is 0;
when the target vehicle is about to enter an atmospheric background pollution change scene, an alarm threshold value of an air quality sensor is adjusted to be 0 from an original threshold value;
when the target vehicle is in an atmospheric background pollution change scene, the external circulation of the vehicle air is immediately triggered to be closed, and the internal circulation of the vehicle air is immediately triggered to be opened.
5. The information fusion-based vehicle air circulation control method according to claim 4, wherein when recognizing whether the target vehicle is in an atmospheric background pollution change scene, performing:
judging whether one or more of a sixth trigger condition, a seventh trigger condition and an eighth trigger condition are met, if yes, judging that the target vehicle is in an atmospheric background pollution change scene;
wherein, the sixth triggering condition is: acquiring an air quality index AQI issued by an air monitoring station or a third party monitoring mechanism, wherein the air quality index AQI is larger than a preset value; the seventh trigger condition is: acquiring an air quality parameter outside the target vehicle, wherein the air quality parameter outside the target vehicle is smaller than a set threshold value; the eighth triggering condition is: and acquiring air quality parameters of the inside and the outside of the target vehicle, wherein the air quality parameters of the outside of the target vehicle are lower than the air quality parameters of the inside of the target vehicle.
6. The information fusion-based vehicle air circulation control method according to claim 1, wherein when recognizing whether the driving tendency of the target vehicle is about to enter a specific scene, it is also recognized that the target vehicle is about to enter several specific scenes;
if the driving trend of the target vehicle is about to enter a specific scene, acquiring a corresponding threshold adjustment amplitude according to the identified specific scene category, and calculating a first specific threshold and a second specific threshold corresponding to the specific scene based on the acquired threshold adjustment amplitude and the original threshold;
if the driving trend of the target vehicle is about to enter two or more specific scenes, acquiring the threshold adjustment amplitude corresponding to each specific scene, superposing the acquired threshold adjustment amplitude and the original threshold, and calculating the corresponding first specific threshold and second specific threshold.
7. The information fusion-based vehicle air circulation control method according to claim 1, characterized in that before identifying whether or not the running trend of the target vehicle is about to enter a specific scene, further performing:
estimating a specific scene category and a sequence of time of passing the target vehicle based on map road condition information, predetermined path information and the departure time of the target vehicle;
according to the estimated specific scene category and the estimated sequence of time, a threshold adjustment strategy is formulated;
the threshold adjustment strategy comprises the steps of pre-estimating and pre-storing a first specific threshold value and a second specific threshold value corresponding to a specific scene, and adjusting the rotating speed of the fan in an area between the two specific scenes so as to accelerate the internal and external air circulation.
8. The information fusion-based vehicle air circulation control method according to claim 7, wherein, when identifying whether or not a running tendency of a target vehicle is about to enter a specific scene:
if the specific scene which is about to enter the target vehicle is identified as the specific scene which is estimated in advance and only one specific scene exists, directly calling a pre-stored first specific threshold value and a pre-stored second specific threshold value to perform real-time control on the air circulation of the vehicle;
if the specific scene which is about to enter the target vehicle is identified as a specific scene which is not estimated in advance and is a specific scene, acquiring a corresponding threshold adjustment amplitude according to the identified specific scene category, and calculating a first specific threshold and a second specific threshold corresponding to the specific scene based on the acquired threshold adjustment amplitude and an original threshold;
if the specific scene which is about to enter the target vehicle is identified as a specific scene which is not estimated in advance and is two or more than two specific scenes, acquiring a threshold adjustment amplitude corresponding to each new specific scene, overlapping the acquired threshold adjustment amplitudes and the original threshold, and calculating a corresponding first specific threshold and a corresponding second specific threshold;
if the specific scene which the target vehicle is about to enter is identified as a pre-estimated specific scene and a new specific scene, reading a pre-stored first specific threshold and a pre-stored second specific threshold, and generating a corresponding first specific threshold and a corresponding second specific threshold based on the category and the number of the new specific scene; and combining the pre-stored first specific threshold value and the pre-stored second specific threshold value with the temporarily generated first specific threshold value and the temporarily generated second specific threshold value to perform real-time control on the air circulation of the vehicle.
9. A vehicle air cycle control device based on information fusion is characterized in that: comprising a memory, a processor and an information fusion based vehicle air circulation control program stored on the memory and operable on the processor, which when executed by the processor, implements the steps of the information fusion based vehicle air circulation control method of any one of claims 1-8.
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