Standby vehicle reminding method, device and equipment based on standby vehicle duration and vehicle

Abstract

The invention provides a standby vehicle reminding method, device and equipment based on standby vehicle duration and a vehicle. According to the scheme, the starting time of the vehicle is firstly obtained, then the standby vehicle duration is calculated based on in-vehicle environment parameters and target environment parameters, and the standby vehicle reminding moment is calculated based on the standby vehicle duration and the starting time of the vehicle; and when it is detected that the current time reaches the vehicle preparation reminding moment, vehicle preparation reminding is sent to a target user to remind the user to prepare a vehicle in time before the vehicle starting time arrives, so that when the vehicle starting time arrives, the environment temperature in the vehicle reaches a proper temperature, and the user can start the vehicle immediately.

Description

Technical Field

[0001] The present invention relates to the field of automobile control technology, and in particular to a vehicle standby reminder method, device, equipment and vehicle based on vehicle standby time. Background Art

[0002] With the continuous development of automobile technology, users have more and more diverse demands for automobile functions. The vehicle preparation function has become one of the basic functions of the vehicle. In this solution, the so-called vehicle preparation refers to adjusting the interior environment temperature, seat temperature and / or steering wheel temperature in advance before the user arrives at the vehicle location, so that the user is in a comfortable environment when using the vehicle.

[0003] In existing solutions, the vehicle standby function is usually actively triggered by the user when using the car. That is, when the user needs to use the car, if the user predicts that the temperature inside the car is high or low, the user actively controls the vehicle to enter the standby state. This vehicle standby method is initiated by the user. If the user forgets to prepare the car, the temperature inside the car will be too high or too low when the user starts the vehicle, and the user cannot immediately activate the vehicle. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides a vehicle preparation reminder method, device, equipment and vehicle based on the vehicle preparation time, so as to determine whether the vehicle has a vehicle preparation requirement before the vehicle is used, and when there is a vehicle preparation requirement, send a vehicle preparation request to the target user in advance.

[0005] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0006] A vehicle preparation reminder method based on vehicle preparation time includes:

[0007] Get vehicle start time;

[0008] Obtain in-vehicle environment parameters and target environment parameters;

[0009] The vehicle preparation time is calculated based on the vehicle interior environment parameter, the target environment parameter and the vehicle preparation working condition, wherein the vehicle preparation working condition refers to the working state data of the vehicle system during the vehicle preparation process;

[0010] Calculate the vehicle preparation reminder time based on the vehicle preparation time and the vehicle start time;

[0011] When it is detected that the current time reaches the vehicle preparation reminder time, a vehicle preparation reminder is sent to the target user.

[0012] Optionally, in the above-mentioned vehicle preparation reminder method, the vehicle preparation time is calculated based on the vehicle interior environment parameter, the target environment parameter and the vehicle preparation working condition, including:

[0013] Obtaining the variation curve of the vehicle interior environment parameters with the vehicle preparation time under the vehicle preparation working condition during the vehicle preparation process;

[0014] The time taken for the in-vehicle environment parameter to reach the target environment parameter during the vehicle preparation process is calculated based on the change curve, and the time taken is recorded as the vehicle preparation time.

[0015] Optionally, in the above-mentioned vehicle preparation reminder method based on the vehicle preparation time, the vehicle preparation reminder time is calculated based on the vehicle preparation time and the vehicle start time, including:

[0016] The moment of the first preset time before the vehicle start time on the time axis is used as the vehicle preparation reminder time, the first preset time is the sum of the vehicle preparation time and the second preset time, and the second preset time is a fixed time.

[0017] Optionally, in the above-mentioned vehicle preparation reminder method for vehicle preparation time, after obtaining the in-vehicle environment parameters and the target environment parameters, and before calculating the vehicle preparation time based on the in-vehicle environment parameters, the target environment parameters and the vehicle preparation working condition, the method further includes:

[0018] Based on the comparison result between the in-vehicle environment parameter and the target environment parameter, determining whether the vehicle has a vehicle preparation requirement, and continuing to execute when the vehicle has a vehicle preparation requirement;

[0019] When there is no need to prepare a vehicle, a prompt message is sent to the target user, where the prompt message includes at least an in-vehicle environment parameter and a target environment parameter.

[0020] Optionally, in the above-mentioned vehicle preparation reminder method of vehicle preparation time, obtaining the vehicle start time includes:

[0021] Get parking location;

[0022] Determining whether the parking position is a frequent parking position, wherein the frequent parking position refers to a position where the vehicle has been parked more than a preset number of times;

[0023] When the parking location is a frequent parking location, obtaining a historical vehicle start time corresponding to the frequent parking location;

[0024] The vehicle start time is calculated based on the vehicle historical start time.

[0025] Optionally, in the above-mentioned vehicle preparation reminder method, the vehicle start time is calculated based on the vehicle historical start time, including:

[0026] Obtaining the driving route and historical driving time corresponding to the frequent parking location;

[0027] Obtaining traffic information and predicted driving time of the driving route;

[0028] The vehicle startup time is calculated based on the predicted time duration, the historical time duration and the vehicle historical startup time.

[0029] Optionally, in the above-mentioned vehicle preparation reminder method for vehicle preparation time, obtaining target environment parameters includes:

[0030] Get the average daytime temperature in the preset time period of the area where the vehicle is located;

[0031] A target environmental parameter matching the average daytime temperature is obtained.

[0032] A vehicle preparation reminder device based on vehicle preparation time, comprising:

[0033] A start time acquisition unit, used to acquire the vehicle start time;

[0034] A vehicle preparation process analysis unit, used to obtain vehicle interior environment parameters and target environment parameters;

[0035] The vehicle preparation time is calculated based on the vehicle interior environment parameter, the target environment parameter and the vehicle preparation working condition, wherein the vehicle preparation working condition refers to the working state data of the vehicle system during the vehicle preparation process;

[0036] The reminder unit is used to calculate the vehicle preparation reminder time based on the vehicle preparation time and the vehicle start time; when it is detected that the current time reaches the vehicle preparation reminder time, send a vehicle preparation reminder to the target user.

[0037] A vehicle preparation reminder device based on vehicle preparation time, comprising: a memory and a processor;

[0038] The memory is used to store programs;

[0039] The processor is used to execute the program to implement each step of the vehicle preparation reminder method based on the vehicle preparation time as described in any one of the above items.

[0040] A vehicle comprises the above-mentioned vehicle preparation reminder device based on vehicle preparation time.

[0041] Based on the above technical solution, it can be seen from the above solution that the above solution first obtains the vehicle start-up time, then calculates the vehicle preparation time based on the in-vehicle environmental parameters and the target environmental parameters, and then calculates the vehicle preparation reminder time based on the vehicle preparation time and the vehicle start-up time. When it is detected that the current time reaches the vehicle preparation reminder time, a vehicle preparation reminder is sent to the target user to remind the user to prepare the vehicle in time before the vehicle start-up time arrives, so that when the vehicle start-up time arrives, the in-vehicle environmental temperature has reached a suitable temperature, so that the user can start the vehicle immediately. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0043] Figure 1 A flowchart of a method for reminding a vehicle to be ready based on vehicle preparation time disclosed in an embodiment of the present application;

[0044] Figure 2 A flowchart of a vehicle preparation reminder method based on vehicle preparation time disclosed in another embodiment of the present application;

[0045] Figure 3 A flowchart of a method for reminding a vehicle to be ready based on vehicle preparation time disclosed in another embodiment of the present application;

[0046] Figure 4 A schematic diagram of a process for determining target environmental parameters in a vehicle preparation reminder method based on vehicle preparation time disclosed in an embodiment of the present application;

[0047] Figure 5 A schematic diagram of the structure of a vehicle preparation reminder device based on vehicle preparation time disclosed in an embodiment of the present application;

[0048] Figure 6 This is a schematic diagram of the structure of a vehicle preparation reminder device based on vehicle preparation time disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] In this solution, in order to promptly remind users to set off early when the route is predicted to be congested to prevent users from overtime, the present application discloses a vehicle preparation reminder method based on vehicle preparation time. The solution is based on the vehicle parking location and vehicle start time, and before the vehicle start time arrives, it determines whether the vehicle has a vehicle preparation requirement. When there is a vehicle preparation requirement, a vehicle preparation request is generated and sent to the target user.

[0051] For details, see Figure 1 The present application discloses a vehicle preparation reminder method based on vehicle preparation time, which may include:

[0052] Step S101: Obtain vehicle start time;

[0053] In this solution, it is first necessary to obtain the vehicle start time, which is the time when the user starts the vehicle next time. The vehicle start time can be the time set in advance by the user, or it can be the time obtained by the system's own analysis. For example, if the user expects to use the car at a certain time, the time will be set as the vehicle start time.

[0054] When the user's parking location is a parking location corresponding to a vehicle on the user's frequently used route, the user's next vehicle usage time can be predicted based on the user's vehicle usage pattern, and the predicted next vehicle usage time is used as the vehicle start time, see Figure 2 , when actively predicting the vehicle start time, the specific process is as follows:

[0055] Step S201: Acquire the parking location.

[0056] The parking position refers to the position of the vehicle after the vehicle is parked and turned off. For example, the position may refer to the position where the vehicle is parked after the user returns home from get off work.

[0057] Step S202: Determine whether the parking position is a frequent parking position.

[0058] In this solution, a frequent parking location can be predetermined. The frequent parking location refers to a location where the user parks frequently or a high number of times. For example, the frequent parking location can refer to the parking location of the user's vehicle when commuting to and from get off work every day. The frequent parking location can be automatically obtained by the system based on the user's historical vehicle usage data analysis, or it can be actively constructed by the user. The frequent parking location can refer to a specific coordinate location or a range area. For example, when the user has his own fixed parking space, the frequent parking location can refer to a specific coordinate location. When the user does not have his own parking space, the user usually parks the vehicle within a certain area. At this time, the frequent parking location can refer to a range area centered on the user's residence or office location.

[0059] When the frequent parking position is a range area, determining whether the parking position is in a frequent parking position may specifically include: determining whether the parking position is located in a preset frequent parking area, the frequent parking area being an area where the user has parked the vehicle more than a preset number of times, the value of the preset number of times may be set according to user needs, for example, it may be 100 times, 150 times, 200 times, and so on, when the user has parked the vehicle in the same area more than the preset number of times, the parking area may be regarded as a frequent parking area, wherein the parking area may refer to a circular area, the radius of the circular area may be 100 meters, 200 meters or 300 meters, and so on, when the parking position is located in this area, it indicates that the parking position is in a frequent parking position.

[0060] In the technical solution disclosed in this embodiment, it is also possible to determine whether the parking position is a frequent parking position in the following manner: in the historical driving data, the time point of starting the vehicle at the same position each time is obtained, and the start time point is regarded as having a similar time point if the error is within a preset time period (for example, 30 minutes or other time length). For example, the time points of starting the vehicle at the same position each time are [15:00, 15:01, 15:01, 15:02, 15:02, 15:04, 15:05, 15:09, 15:14, 15:15, 15 :20,115:25,15:31,15:31,15:32,15:34]; take the time points within 30 minutes of [15:01-15:31] as the time interval for starting the vehicle; eliminate the time points with the least number [15:00,15:32,15:34]; take the relevant data of the recent preset time period (30 days): calculate the value of the number of starts within the time interval / the number of all starts at the current position. When the calculation result is greater than or equal to the preset ratio (80% or other preset ratio), it is considered that the current parking position of the vehicle is a frequent parking position.

[0061] In this embodiment, when statistics are collected from historical driving data and multiple frequent parking locations are found, a prompt may be issued to the user. Based on the user selection result, the frequent parking locations to be monitored are determined as the frequent parking locations used in step S202, thereby enabling the user to customize the frequent parking locations. At the same time, the user may also actively configure a corresponding driving route for each frequent parking location. The driving route may be a navigation route extracted from an electronic map, that is, when setting a frequent parking location, the user may navigate to a route in the electronic map, and then save and configure the route to the frequent parking location, and use the route as the driving route corresponding to the frequent parking location.

[0062] Step S203: When the parking position is a frequent parking position, the vehicle historical start time corresponding to the frequent parking position is obtained.

[0063] In this step, when it is detected that the parking position of the vehicle belongs to the frequent parking position, the historical vehicle start time corresponding to the frequent parking position can be obtained. The historical vehicle start time can be obtained by analyzing the driving data associated with the frequent parking position in the historical driving data. For example, in the historical driving data, when the parking position of the vehicle is in the frequent parking position, the probability of the vehicle driving a certain driving route after the vehicle is started is greater than a preset threshold value, and the preset threshold value can be 60%, 70%, 80%. At this time, it can be considered that the driving route is the driving route corresponding to the frequent parking position. The average value of the historical vehicle start time corresponding to the driving route is the historical vehicle start time corresponding to the frequent parking position. The average time duration of the driving route is the historical time duration corresponding to the frequent parking position. The historical time duration refers to the time taken by the user to start from the starting point of the driving route and reach the end point of the driving route in the historical driving data. The historical time duration can be an average value. Of course, the driving route can also refer to the driving route that the user actively configures for the frequent parking position in the previous step.

[0064] Step S204: Calculate the vehicle startup time based on the historical vehicle startup time.

[0065] In this step, when determining the vehicle's historical start time, without considering other factors, the vehicle's historical start time can be used as the vehicle's next start time. The vehicle start time is the predicted time for the user to start the vehicle next time. For example, generally speaking, the vehicle's historical start time is 8 o'clock in the morning. Without considering other interference factors, the calculated vehicle start time is also 8 o'clock in the morning.

[0066] In this embodiment, the user will take a fixed driving route to and from get off work every day. If the determined frequent parking location is the parking location of the user's vehicle after get off work, then the user will most likely take the commuting route the next time he starts the vehicle. In order to ensure that he can clock in on time, the user must reasonably arrange the vehicle start time based on the road conditions on different commuting routes. For example, if the route is found to be congested, the user needs to set off early. At this time, the vehicle start time of the user's actual user must be earlier than the vehicle's historical start time. If the vehicle's historical start time is used as the vehicle start time, it may result in the vehicle being unable to be prepared when the user uses the vehicle. In view of this, the vehicle start time calculated based on the vehicle's historical start time in the above method may specifically include:

[0067] The driving route and historical driving time corresponding to the frequent parking location are obtained, the road condition information and predicted driving time of the driving route are obtained, and the vehicle start time is calculated based on the predicted driving time, the historical driving time and the historical vehicle start time.

[0068] In the above embodiment, after determining that the parking position is a frequent parking position, the driving route corresponding to the frequent parking position and the historical time duration corresponding to the driving route are obtained. After the driving route is determined, the driving route is used as the driving route to be adopted by the user when starting the vehicle next time. After the driving route is determined, the road condition information of the driving route can be obtained through the electronic map system. The road condition information can include road congestion information, road construction information and real-time vehicle accident information on the route. These road condition information can be collected through real-time electronic maps. That is to say, the system used in this solution can be associated with the electronic map system. After the driving route is determined, the electronic map system can obtain the road condition information corresponding to the driving route and the corresponding predicted time duration. The predicted time duration can be the time duration of the driving route predicted by the electronic map system. After the predicted time, historical time and vehicle historical start time are determined, it is necessary to predict the vehicle start time for the next vehicle start. At this time, the vehicle start time refers to the latest departure time at which the user can reach the end of the driving route on time under the current road conditions of the driving route. Here, if the historical time is less than the predicted time, the time difference between the predicted time and the historical time can be calculated first, and then the vehicle historical start time can be delayed and the time axis is advanced forward by the time node corresponding to the time difference as the vehicle start time. The vehicle start time is the latest departure time at which the user can reach the end of the driving route on time.

[0069] In the technical solution disclosed in the present embodiment, in addition to using the above calculation to obtain the vehicle start time, a trained analysis model can also be used to predict the vehicle start time. The analysis model is trained by historical data. The historical data may include a preset time period (for example, a time period between the current time and the preset time, and the preset time may refer to any value such as 30 days, 60 days or 100 days). The historical data used to train the analysis model may specifically include: vehicle VIN, date (month and day), day of the week, date specificity, weather on the day, GPS positioning each time the vehicle is powered on, and each vehicle start time (hour and minute); wherein the date specificity may include whether it is a working day, whether it is the first working day after the weekend, whether it is the last working day before the weekend, whether it is the first working day after the holiday, whether it is the last working day before the holiday or the first working day after the holiday. These data may be obtained by manual annotation or using existing third-party data. The weather conditions may include light rain, moderate rain, heavy rain, light snow, Moderate snow, heavy snow, hail, heavy fog, etc.; before training, the vehicle can be divided into multiple historical data sets based on the GPS positioning, and the distance difference of the GPS positioning of the corresponding vehicles when powered on in different historical data sets is not greater than the preset distance. The historical data in different historical data sets are used to perform self-learning training on the analysis model. During the training process, the input data is the vehicle VIN, date (month and day), day of the week, date specificity (holidays, weekdays), weather of the day, and GPS positioning each time the vehicle is powered on. The output data is the time (hour and minute) of each vehicle startup. At this time, an analysis model matching different GPS positioning can be obtained. When specifically predicting the startup time of the vehicle, the analysis model used to execute this prediction can be determined based on the GPS positioning of the vehicle when it was last powered off, and then the vehicle VIN, date, day of the week, date specificity, and weather of the day corresponding to the current moment are obtained. The vehicle VIN, date, day of the week, date specificity, and weather of the day are input into the analysis model to predict the startup time. Among them, in this scheme, it is considered that the GPS positioning error reported each time the power is turned on and off is within the preset distance (which can be 600 meters), which can be counted as a position. When obtaining GPS positioning, the GPS information in the CAN signal is preferentially selected. If the CAN signal has no GPS information each time the power is turned on and off, the GPS information in the itinerary buried point can be obtained.

[0070] Step S102: Obtain in-vehicle environment parameters and target environment parameters.

[0071] In this solution, it is necessary to confirm whether the vehicle has a spare vehicle requirement. Whether the vehicle has a spare vehicle requirement can be determined based on the in-vehicle environmental parameters and the target environmental parameters. Therefore, it is necessary to obtain the vehicle environmental parameters and the target environmental parameters.

[0072] The in-car environmental parameters refer to the in-car environmental data at the current moment, and the target environmental data refer to the in-car environmental parameters under an ideal environment (an environment in which the user feels comfortable). The in-car environmental parameters may include in-car temperature, seat temperature, steering wheel temperature, concentration of harmful gases in the car, etc. At this time, the target environmental parameters may include the target values ​​of the in-car temperature, seat temperature, steering wheel temperature, and concentration of harmful gases in the car.

[0073] Furthermore, the time for obtaining the in-vehicle environmental parameters can be determined based on the vehicle start-up time. If the in-vehicle environmental parameters are obtained too early, the obtained in-vehicle environmental parameters will be quite different from the in-vehicle environmental parameters corresponding to the vehicle start-up time. If the in-vehicle environmental parameters are obtained too late, it may be impossible to reserve sufficient vehicle standby time. Therefore, in this scheme, the in-vehicle environmental parameters can be obtained at a preset time before the vehicle start-up time, wherein the preset time can be 10 minutes, 15 minutes or 20 minutes, etc., that is, the in-vehicle environmental parameters and the target environmental parameters are obtained 10 minutes, 15 minutes or 20 minutes before the vehicle start-up time.

[0074] Step S103: Calculate the vehicle preparation time based on the vehicle interior environment parameters, the target environment parameters and the vehicle preparation working condition, where the vehicle preparation working condition refers to the working status data of the vehicle-mounted system during the vehicle preparation process.

[0075] After obtaining the in-vehicle environmental parameters and the target environmental parameters, it can be pre-determined whether the vehicle has a need for a spare vehicle. If there is a need for a spare vehicle, the execution can continue. If there is no need for a spare vehicle, the solution can be stopped. When determining whether the vehicle has a need for a spare vehicle, after obtaining the target parameters, the target parameters are compared with the target environmental parameters, and based on the comparison results, it is determined whether the vehicle has a need for a spare vehicle. In this solution, the in-vehicle environmental parameters may refer to the in-vehicle temperature, and the target environmental parameters may refer to the target temperature. After obtaining the in-vehicle temperature, the in-vehicle temperature is compared with the target temperature. When the difference between the in-vehicle temperature and the target temperature is greater than the preset temperature difference, it indicates that the vehicle has a need for a spare vehicle. Otherwise, it indicates that the vehicle has no need for a spare vehicle.

[0076] When the vehicle has a vehicle preparation requirement, in order to reasonably set the time for sending the vehicle preparation reminder, it is necessary to calculate the vehicle preparation time. When calculating the vehicle preparation time, the vehicle preparation time can be calculated based on the current in-vehicle environmental parameters, the target in-vehicle environmental parameters and the vehicle preparation working conditions, wherein the vehicle preparation working conditions refer to the working status data of the vehicle-mounted system during the vehicle preparation process, and the vehicle-mounted system is used to adjust the in-vehicle environmental parameters. For example, the vehicle-mounted system may be an in-vehicle air-conditioner, and the vehicle preparation working conditions refer to the output power, working gear and other data of the air-conditioning system during the vehicle preparation process, and the vehicle preparation time refers to the time taken for the in-vehicle environmental parameters to reach the target in-vehicle environmental parameters after the in-vehicle system is started.

[0077] In the technical solution disclosed in another embodiment of the present application, taking into account the different preparation effects of different vehicles during the preparation process, even if the same preparation working condition is used to control the in-vehicle environmental parameters to reach the target in-vehicle environmental parameters, the time taken may be different. For example, as the air-conditioning system ages or the air-conditioning filter element gradually becomes clogged, the heating and cooling capabilities of the air-conditioning system will gradually decrease. In this case, even if the in-vehicle ambient temperature is adjusted under the same air-conditioning working condition, the time taken by the air-conditioning with different degrees of aging and air-conditioning filter element clogging will be different. Therefore, in this embodiment, the vehicle preparation time is calculated based on the in-vehicle environmental parameters, the target environmental parameters and the preparation working condition, see Figure 3 , the process may include:

[0078] Step S301: obtaining a curve of changes in vehicle interior environment parameters as a function of vehicle preparation time under vehicle preparation conditions during the vehicle preparation process.

[0079] In the technical solution disclosed in this embodiment, in the historical vehicle preparation data, a curve of changes in the vehicle interior environmental parameters with the vehicle preparation time under the vehicle preparation condition is obtained, and the time taken for the vehicle interior environmental parameters to reach the target environmental parameters can be analyzed through the change curve.

[0080] Step S302: Calculate the time taken for the vehicle interior environment parameter to reach the target environment parameter during the vehicle preparation process based on the change curve, and record the time taken as the vehicle preparation time.

[0081] In this embodiment, the change curve is dynamically updated, thereby ensuring the reliability of the calculation result of the vehicle standby time.

[0082] Step S104: Calculate the vehicle preparation reminder time based on the vehicle preparation time and the vehicle start time.

[0083] In this step, in this application, in order to ensure that the vehicle environment has reached the best state when the user uses the vehicle, after the vehicle preparation time and the vehicle start time are determined, the vehicle preparation reminder time is determined based on the vehicle preparation time and the vehicle start time. The vehicle preparation reminder time is the time when the vehicle preparation reminder is sent to the target user. When the vehicle preparation reminder time arrives, the vehicle preparation reminder needs to be sent to the target user. After the target user obtains the vehicle preparation reminder, he can judge whether he needs to control the vehicle to prepare the vehicle based on his own needs. In the technical solution disclosed in the embodiment of this application, when the target user obtains the vehicle preparation reminder, it may be difficult for the user to view and respond to the vehicle preparation reminder in the first time. Therefore, in this solution, it is necessary to send the vehicle preparation reminder to the target user in advance for a period of time. The time between the sending time of the vehicle preparation reminder and the vehicle start time must be at least greater than the vehicle preparation time. Only when it is greater than the vehicle preparation time, can sufficient vehicle preparation time be reserved for the vehicle, that is, the reminder notification time is located before the vehicle start time on the time axis, and the difference between the two is greater than the vehicle preparation time. The moment of the first preset time before the vehicle start time on the timeline can be used as the vehicle preparation reminder time, the first preset time is the sum of the vehicle preparation time and the second preset time, the second preset time is a fixed time, for example, the second preset time can be 5 minutes, 6 minutes, 7 minutes or 8 minutes, etc.

[0084] Step S105: When it is detected that the current time reaches the vehicle preparation reminder time, a vehicle preparation reminder is sent to the target user.

[0085] After the car preparation reminder time is determined, the current time is detected based on the car preparation reminder time to determine whether the current time has reached the car preparation reminder time; when it is detected that the current time has reached the car preparation reminder time, a car preparation reminder is sent to the target user to prompt the user to prepare the car in advance; and then the vehicle is controlled to enter the car preparation state based on the car preparation instruction sent by the target user.

[0086] It can be seen from the above scheme that the above scheme first obtains the vehicle start time, then calculates the vehicle preparation time based on the in-vehicle environmental parameters and the target environmental parameters, and then calculates the vehicle preparation reminder time based on the vehicle preparation time and the vehicle start time. When it is detected that the current time reaches the vehicle preparation reminder time, a vehicle preparation reminder is sent to the target user to remind the user to prepare the vehicle in time before the vehicle start time arrives, so that when the vehicle start time arrives, the in-vehicle environmental temperature has reached a suitable temperature, so that the user can start the vehicle immediately.

[0087] Furthermore, considering that the outdoor temperature is different in different solar terms, the user's dressing habits are also different. For example, in the hot summer, the user wears cool clothes, and when preparing the car, the temperature inside the car is controlled at around 27°C. At this time, the user will feel comfortable. In the cold winter, the user wears thicker clothes. If the temperature inside the car is still controlled at around 27°C when preparing the car, the user will feel that the temperature inside the car is too high. Therefore, it can be seen that different external environments correspond to different target environmental parameters, so that suitable car preparation strategies can be provided to users under different external environments.

[0088] For details, see Figure 4 In the above scheme, obtaining the target environment parameters may include:

[0089] Step S401: Obtain the average daytime temperature of the area where the vehicle is located within a preset time period.

[0090] In this step, the area where the vehicle is located refers to the area where the vehicle is currently located, which may refer to a county, district, city, etc. After determining the area where the vehicle is located, the average daytime temperature in the preset time period of the area can be obtained, and the preset time period may refer to the average daytime temperature within 3 days before the current time. Based on the average daytime temperature, the user's clothing index can be determined, and the user's demand value for the target environmental parameter can be determined by the clothing index. In this solution, a mapping relationship between the average daytime temperature and the clothing index can be established in advance, and then a mapping relationship between the average daytime temperature and the target environmental parameter (at this time, the in-car environmental parameter and the target environmental parameter both refer to the in-car temperature) is established, so that after obtaining the average daytime temperature, the target environmental parameter corresponding to the average daytime temperature can be obtained. Of course, the clothing index corresponding to the area where the vehicle is located on that day can also be directly obtained according to the electronic map system, and then the corresponding target environmental parameter can be directly determined based on the clothing index.

[0091] Step S402: Acquire target environmental parameters that match the average daytime temperature.

[0092] The higher the average daytime temperature, the cooler the user is wearing and the higher the value of the target environmental parameter. The lower the average daytime temperature, the thicker the user is wearing and the lower the value of the target environmental parameter.

[0093] In this embodiment, a vehicle preparation reminder device based on vehicle preparation time is disclosed. For the specific working content of each unit in the device, please refer to the content of the above method embodiment.

[0094] The following describes a vehicle preparation reminder device based on vehicle preparation time provided by an embodiment of the present invention. The vehicle preparation reminder device based on vehicle preparation time described below and the vehicle preparation reminder method based on vehicle preparation time described above can correspond to each other.

[0095] See also Figure 5 , the device may include: a start time acquisition unit 10, a vehicle preparation process analysis unit 20, and a reminder unit 30;

[0096] A start time acquisition unit 10, used to acquire the vehicle start time;

[0097] The vehicle preparation process analysis unit 20 is used to obtain the vehicle interior environment parameters and the target environment parameters; the vehicle preparation time is calculated based on the vehicle interior environment parameters, the target environment parameters and the vehicle preparation working condition, wherein the vehicle preparation working condition refers to the working state data of the vehicle system during the vehicle preparation process;

[0098] The reminder unit 30 is used to calculate the vehicle preparation reminder time based on the vehicle preparation time and the vehicle start time; when it is detected that the current time reaches the vehicle preparation reminder time, send a vehicle preparation reminder to the target user.

[0099] The start time acquisition unit 10, the vehicle preparation process analysis unit 20, and the reminder unit 30 are also used to execute the detailed implementation scheme introduced in the above method embodiment, which will not be repeated here.

[0100] Figure 6 For a hardware structure diagram of a vehicle standby reminder device based on vehicle standby time provided by an embodiment of the present invention, see Figure 6 As shown, it may include: at least one processor 100, at least one communication interface 200, at least one memory 300 and at least one communication bus 400;

[0101] In the embodiment of the present invention, the number of the processor 100, the communication interface 200, the memory 300, and the communication bus 400 is at least one, and the processor 100, the communication interface 200, and the memory 300 communicate with each other through the communication bus 400; obviously, Figure 6 The communication connections shown for the processor 100, the communication interface 200, the memory 300, and the communication bus 400 are merely optional;

[0102] Optionally, the communication interface 200 may be an interface of a communication module, such as an interface of a GSM module;

[0103] The processor 100 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention.

[0104] The memory 300 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0105] The processor 100 is specifically configured to:

[0106] Get vehicle start time;

[0107] Obtain in-vehicle environment parameters and target environment parameters;

[0108] The vehicle preparation time is calculated based on the vehicle interior environment parameter, the target environment parameter and the vehicle preparation working condition, wherein the vehicle preparation working condition refers to the working state data of the vehicle system during the vehicle preparation process;

[0109] Calculate the vehicle preparation reminder time based on the vehicle preparation time and the vehicle start time;

[0110] When it is detected that the current time reaches the vehicle preparation reminder time, a vehicle preparation reminder is sent to the target user.

[0111] The processor is also used to execute the specific steps disclosed in the other method embodiments mentioned above, which will not be repeated here.

[0112] Corresponding to the above-mentioned device, the present application also discloses a vehicle and a server, which can be applied with the vehicle preparation reminder device based on the vehicle preparation time as described in the above-mentioned embodiment, and the device can be integrated into the vehicle computer.

[0113] For the convenience of description, the above system is described by dividing the functions into various modules. Of course, when implementing the present application, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0114] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

[0115] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0116] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0117] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0118] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A vehicle preparation reminder method based on vehicle preparation time, characterized in that: include: Get vehicle start time; Obtain in-vehicle environment parameters and target environment parameters; The vehicle preparation time is calculated based on the vehicle interior environment parameter, the target environment parameter and the vehicle preparation working condition, wherein the vehicle preparation working condition refers to the working state data of the vehicle system during the vehicle preparation process; Calculate the vehicle preparation reminder time based on the vehicle preparation time and the vehicle start time; When it is detected that the current time reaches the vehicle preparation reminder time, a vehicle preparation reminder is sent to the target user.

2. The method for reminding the vehicle preparation time according to claim 1, characterized in that: The vehicle preparation time is calculated based on the vehicle interior environment parameter, the target environment parameter and the vehicle preparation working condition, including: Obtaining the variation curve of the vehicle interior environment parameters with the vehicle preparation time under the vehicle preparation working condition during the vehicle preparation process; The time taken for the in-vehicle environment parameter to reach the target environment parameter during the vehicle preparation process is calculated based on the change curve, and the time taken is recorded as the vehicle preparation time.

3. The method for reminding the vehicle preparation time according to claim 1, characterized in that: The vehicle preparation reminder time is calculated based on the vehicle preparation time and the vehicle start time, including: The moment of the first preset time before the vehicle start time on the time axis is used as the vehicle preparation reminder time, the first preset time is the sum of the vehicle preparation time and the second preset time, and the second preset time is a fixed time.

4. The method for reminding the vehicle preparation time according to claim 1, characterized in that: After obtaining the in-vehicle environment parameters and the target environment parameters, and before calculating the vehicle standby time based on the in-vehicle environment parameters, the target environment parameters and the vehicle standby working condition, the method further includes: Based on the comparison result between the in-vehicle environment parameter and the target environment parameter, it is determined whether the vehicle has a vehicle preparation requirement, and the execution continues when the vehicle has a vehicle preparation requirement.

5. The method for reminding the vehicle preparation time according to claim 1, characterized in that: Get vehicle start time, including: Get parking location; Determining whether the parking position is a frequent parking position, wherein the frequent parking position refers to a position where the vehicle has been parked more than a preset number of times; When the parking location is a frequent parking location, obtaining a historical vehicle start time corresponding to the frequent parking location; The vehicle start time is calculated based on the vehicle historical start time.

6. The method for reminding the vehicle preparation time according to claim 1, characterized in that: The vehicle start time is calculated based on the vehicle historical start time, including: Obtaining the driving route and historical driving time corresponding to the frequent parking location; Obtaining traffic information and predicted driving time of the driving route; The vehicle startup time is calculated based on the predicted time duration, the historical time duration and the vehicle historical startup time.

7. The method for reminding the vehicle preparation time according to claim 6, characterized in that: Get the target environment parameters, including: Get the average daytime temperature in the preset time period of the area where the vehicle is located; A target environmental parameter matching the average daytime temperature is obtained.

8. A vehicle preparation reminder device based on vehicle preparation time, characterized in that: include: A start time acquisition unit, used to acquire the vehicle start time; A vehicle preparation process analysis unit, used to obtain vehicle interior environment parameters and target environment parameters; The vehicle preparation time is calculated based on the vehicle interior environment parameter, the target environment parameter and the vehicle preparation working condition, wherein the vehicle preparation working condition refers to the working state data of the vehicle system during the vehicle preparation process; The reminder unit is used to calculate the vehicle preparation reminder time based on the vehicle preparation time and the vehicle start time; when it is detected that the current time reaches the vehicle preparation reminder time, send a vehicle preparation reminder to the target user.

9. A vehicle preparation reminder device based on vehicle preparation time, characterized in that: include: Memory and processor; The memory is used to store programs; The processor is used to execute the program to implement the various steps of the vehicle preparation reminder method based on vehicle preparation time as described in any one of claims 1-7.

10. A vehicle, characterized in that: Including the vehicle preparation reminder device based on vehicle preparation time as described in claim 9.

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