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

Abstract

The application provides a vehicle preparation reminding method and device based on vehicle preparation time, equipment and vehicle. The scheme firstly acquires vehicle starting time, then calculates vehicle preparation time based on vehicle environment parameters and target environment parameters, and finally calculates vehicle preparation reminding time based on vehicle preparation time and the vehicle starting time. When detecting that the current time reaches the vehicle preparation reminding time, the target user is sent a vehicle preparation reminding to remind the user to prepare the vehicle in time before the vehicle starting time, so that the vehicle environment temperature reaches a suitable temperature when the vehicle starting time arrives, and the user can start the vehicle immediately.

Description

Technical Field

[0001] This invention relates to the field of automotive control technology, and specifically to a method, device, equipment, and vehicle for providing a vehicle standby reminder based on standby time. Background Technology

[0002] With the continuous development of automotive technology, users' functional needs for automobiles are becoming increasingly diversified. The vehicle backup function has become one of the basic functions of a vehicle. In this solution, the so-called backup function refers to adjusting the interior temperature, seat temperature, and / or steering wheel temperature in advance before the user arrives at the vehicle location, so that the interior environment is in a comfortable state when the user uses the vehicle.

[0003] In existing solutions, the vehicle standby function is usually triggered by the user when using the vehicle. That is, when the user needs to use the vehicle, if the user predicts that the temperature inside the vehicle is too high or too low, the user will actively control the vehicle to enter standby mode. This standby mode is initiated by the user. If the user forgets to standby, the temperature inside the vehicle will be too high or too low when the user starts the vehicle, and the user will not be able to use the vehicle immediately. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide a vehicle standby reminder method, device, equipment, and vehicle based on standby time, so as to determine whether there is a need for a standby vehicle before the time of vehicle use, and when there is a need for a standby vehicle, send a standby vehicle 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 standby reminder method based on standby time includes:

[0007] Obtain vehicle start time;

[0008] Acquire in-vehicle environmental parameters and target environmental parameters;

[0009] The standby time is calculated based on the in-vehicle environmental parameters, target environmental parameters, and standby conditions. The standby conditions refer to the working status data of the vehicle system during the standby process.

[0010] The vehicle preparation reminder time is calculated based on the vehicle preparation time and the vehicle start time.

[0011] When the current time is detected to have reached the vehicle standby reminder time, a vehicle standby reminder is sent to the target user.

[0012] Optionally, in the above-mentioned method for reminding drivers of vehicle standby time, the standby time is calculated based on the in-vehicle environmental parameters, target environmental parameters, and standby operating conditions, including:

[0013] During the vehicle preparation process, the curves showing the changes in in-vehicle environmental parameters under preparation conditions as a function of preparation time are obtained.

[0014] Based on the change curve, the time taken to reach the target environmental parameter from the in-vehicle environmental parameter during the vehicle preparation process is calculated, and the time taken is recorded as the vehicle preparation time.

[0015] Optionally, in the above-mentioned vehicle standby reminder method, calculating the standby reminder time based on the standby time and the vehicle start time includes:

[0016] The time on the timeline that is a first preset duration before the vehicle start time is used as the vehicle standby reminder time. The first preset duration is the sum of the vehicle standby duration and the second preset duration, which is a fixed duration.

[0017] Optionally, in the above-mentioned method for reminding drivers of vehicle standby time, after obtaining the in-vehicle environmental parameters and the target environmental parameters, and before calculating the standby time based on the in-vehicle environmental parameters, the target environmental parameters, and the standby conditions, the method further includes:

[0018] Based on the comparison results between the in-vehicle environmental parameters and the target environmental parameters, it is determined whether the vehicle has a backup vehicle requirement. If a backup vehicle requirement is met, the process continues.

[0019] When there is no need for a backup vehicle, a prompt message is sent to the target user. The prompt message includes at least the in-vehicle environmental parameters and the target environmental parameters.

[0020] Optionally, in the above-mentioned methods for reminding drivers of vehicle standby time, obtaining the vehicle start time includes:

[0021] Get parking location;

[0022] Determine whether the parking location is a frequently parked location, where a frequently parked location refers to a location where the vehicle is parked more than a preset number of times.

[0023] When the parking location is a frequently parked location, obtain the historical start time of the vehicle corresponding to the frequently parked location;

[0024] The vehicle startup time is calculated based on the vehicle's historical startup time.

[0025] Optionally, in the above-mentioned method for reminding drivers of vehicle standby time, calculating the vehicle start time based on the vehicle's historical start time includes:

[0026] Obtain the driving routes and historical driving times corresponding to the frequently stopped locations;

[0027] Obtain traffic information and predicted travel time for the driving route;

[0028] The vehicle start time is calculated based on the predicted time, the historical time, and the vehicle's historical start time.

[0029] Optionally, in the above-mentioned method for reminding drivers of vehicle standby time, obtaining target environmental parameters includes:

[0030] Obtain the average daytime temperature of the area where the vehicle is located within a preset time period;

[0031] Obtain target environmental parameters that match the daytime average temperature.

[0032] A vehicle standby reminder device based on standby time includes:

[0033] Start-up time acquisition unit, used to acquire vehicle start-up time;

[0034] The vehicle preparation process analysis unit is used to acquire in-vehicle environmental parameters and target environmental parameters.

[0035] The standby time is calculated based on the in-vehicle environmental parameters, target environmental parameters, and standby conditions. The standby conditions refer to the working status data of the vehicle system during the standby 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 detects that the current time has reached the vehicle preparation reminder time, it sends a vehicle preparation reminder to the target user.

[0037] A vehicle standby reminder device based on standby time includes: 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 standby reminder method based on standby time as described above.

[0040] A vehicle including the aforementioned standby reminder device based on standby time.

[0041] Based on the above technical solution, as can be seen from the solution, the solution first obtains the vehicle start time, then calculates the preparation time based on the in-vehicle environmental parameters and the target environmental parameters, and then calculates the preparation reminder time based on the preparation time and the vehicle start time. When the current time is detected to have reached the preparation reminder time, a 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 the in-vehicle ambient temperature has reached a suitable temperature when the vehicle start time arrives, so that the user can start the vehicle immediately. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0043] Figure 1 This is a flowchart illustrating the vehicle standby reminder method based on standby time disclosed in an embodiment of this application;

[0044] Figure 2 This is a flowchart illustrating a vehicle standby reminder method based on standby time, as disclosed in another embodiment of this application.

[0045] Figure 3 This is a flowchart illustrating a vehicle standby reminder method based on standby time, as disclosed in another embodiment of this application.

[0046] Figure 4 This is a schematic diagram illustrating the process of determining the target environmental parameters in the standby reminder method based on standby time disclosed in the embodiments of this application;

[0047] Figure 5 This is a schematic diagram of the standby reminder device based on standby time disclosed in an embodiment of this application;

[0048] Figure 6 This is a schematic diagram of the standby reminder device based on standby time disclosed in an embodiment of this application. Detailed Implementation

[0049] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] In this solution, in order to promptly remind users to depart early when route congestion is predicted to prevent users from exceeding the time limit, this application discloses a standby reminder method based on standby time. This solution is based on the vehicle's parking location and vehicle start time, and before the vehicle start time arrives, it determines whether the vehicle needs a standby. When there is a standby need, a standby request is generated and sent to the target user.

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

[0052] Step S101: Obtain the vehicle start time;

[0053] In this solution, the first step is to obtain the vehicle start time, which is the time when the user will start the vehicle next. This vehicle start time can be a time set in advance by the user or a time obtained by the system itself. For example, if the user expects to use the car at a certain time, they will set that time as the vehicle start time.

[0054] When a user parks their vehicle at a location corresponding to their frequently used route, the system can predict the user's next usage time based on their driving patterns. This predicted next usage time can then be used as the vehicle's start time. See [link / reference]. Figure 2 The specific process for actively predicting vehicle start-up time is as follows:

[0055] Step S201: Obtain the parking location.

[0056] The parking location refers to the position of the vehicle after it has been parked and the engine turned off. For example, this location could refer to the position where a user parks their vehicle after returning home from get off work.

[0057] Step S202: Determine whether the parking location is a frequently parked location.

[0058] In this solution, a frequently used parking location can be pre-determined. This location refers to a place where the user parks extremely frequently or repeatedly. For example, the frequently used parking location could be where the user parks their vehicle during their daily commute. This location can be automatically determined by the system based on the user's historical parking data, or it can be actively constructed by the user. A frequently used parking location can refer to a specific coordinate location or a range of areas. For instance, when the user has their own designated parking space, the frequently used parking location can be a specific coordinate location. When the user does not have their own parking space, they typically park their vehicle within a certain area, in which case the frequently used parking location could refer to a range centered on the user's residence or workplace.

[0059] When the frequently parked location is a range, determining whether a parking location is a frequently parked location can specifically include: determining whether the parking location is located within a preset frequently parked area. The frequently parked area is an area where the number of times a user parks their vehicle exceeds a preset number. The preset number can be set according to the user's needs, for example, it can be 100 times, 150 times, 200 times, etc. When the number of times a user parks in the same area exceeds the preset number, the parking area can be considered a frequently parked area. The parking area can refer to a circular area with a radius of 100 meters, 200 meters, or 300 meters, etc. When the parking location is within this area, it indicates that the parking location is a frequently parked location.

[0060] In the technical solution disclosed in this embodiment, it can also be determined whether the parking location is a frequently parked location by the following method: Obtain the time points of vehicle start-up from the same location in historical driving data. If the start-up time points have an error within a preset time period (e.g., 30 minutes or other durations), they are considered to have similar time points. For example, the time points of vehicle start-up from the same location are [15:00, 15:01, 15:01, 15:02, 15:02, 15:04, 15:05, 15:09, 15:14, 15:15, 15:05]. :20,115:25,15:31,15:31,15:32,15:34; Take the time points within the 30 minutes of [15:01-15:31] as the time interval for starting the vehicle; Remove the time points with the fewest occurrences [15:00,15:32,15:34]; Take relevant data from the nearest preset time period (30 days): Calculate the value of the number of starts within the time interval / the total number of starts at the current location. When the calculation result is greater than or equal to a preset ratio (80% or other preset ratios), the current parking location of the vehicle is considered a frequent parking location.

[0061] In this embodiment, when statistical analysis of historical driving data reveals multiple frequent parking locations, a prompt can be issued to the user. Based on the user's selection, the frequent parking location to be monitored is determined as the frequent parking location used in step S202, thereby enabling the user to customize the frequent parking location. At the same time, the user can also actively configure the corresponding driving route for each frequent parking location. This driving route can be a navigation route extracted from an electronic map. That is, when setting a frequent parking location, the user can first navigate to a route on the electronic map, then save and configure the route for the frequent parking location, using the route as the driving route corresponding to the frequent parking location.

[0062] Step S203: When the parking location is a frequently parked location, obtain the vehicle's historical start time corresponding to the frequently parked location.

[0063] In this step, when a vehicle's parking location is detected to be a frequently parked location, the historical start time of the vehicle corresponding to that location can be obtained. This historical start time can be obtained by analyzing driving data associated with the frequently parked location in historical driving data. For example, in historical driving data, if the probability of the vehicle traveling along a certain route after starting is greater than a preset threshold when the vehicle is parked at the frequently parked location (e.g., 60%, 70%, or 80%), then that route can be considered the route corresponding to the frequently parked location. The average historical start time of the vehicle corresponding to that route is the historical start time of the vehicle corresponding to the frequently parked location, and the average travel time of that route is the historical travel time corresponding to the frequently parked location. The historical travel time refers to the time taken by the user to reach the destination of the route from its starting point in the historical driving data; this historical travel time can be an average value. Alternatively, the route can refer to the route actively configured by the user for the frequently parked location in the previous step.

[0064] Step S204: Calculate the vehicle startup time based on the vehicle's historical 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, if the vehicle's historical start time is usually 8:00 AM, then without considering other interfering factors, the calculated vehicle start time will also be 8:00 AM.

[0066] In this embodiment, the user uses a fixed driving route to and from get off work every day. If the frequently used parking location is the user's parking location after get off work, then the user is highly likely to use the same route the next time they start the vehicle. To ensure timely clocking in, the user needs to rationally plan the vehicle's start time based on traffic conditions along different routes. For example, if the route is congested, the user needs to leave earlier. In this case, the user's actual vehicle start time will be earlier than the historical start time. If the historical start time is then used as the vehicle's start time, it may result in the vehicle not being ready when the user needs it. To address this, the method described above calculates the vehicle start time based on the historical start time, which specifically includes:

[0067] Obtain the driving route and historical travel time corresponding to the frequently stopped locations, obtain the road condition information and predicted travel time of the driving route, and calculate the vehicle start time based on the predicted travel time, the historical travel time, and the vehicle's historical start time.

[0068] In the above embodiments, after determining that the parking location is a frequently parked location, the driving route corresponding to the frequently parked location and the historical travel time corresponding to the driving route are obtained. Once the driving route is determined, it is used as the driving route for the user to use the next time they start the vehicle. After the driving route is determined, the traffic information of the driving route can be obtained through an electronic map system. This traffic information may include road congestion information, road construction information, and real-time vehicle accident information on the route. This traffic information can be collected through a real-time electronic map. That is to say, the system used in this solution can be associated with an electronic map system. After the driving route is determined, the electronic map system can obtain the traffic information corresponding to the driving route and the corresponding predicted travel time. The predicted travel time can be the travel time of the driving route predicted by the electronic map system. Once the predicted travel time, historical travel time, and historical vehicle start time are determined, it is necessary to predict the vehicle start time for the next vehicle start. In this case, the vehicle start time refers to the latest departure time that the user can reach the destination of the route on time under the current road conditions. Here, if the historical travel time is less than the predicted travel time, the time difference between the predicted travel time and the historical travel time can be calculated first, and then the historical vehicle start time can be advanced by the time node corresponding to the time difference along the time axis as the vehicle start time. This vehicle start time is the latest departure time that the user can reach the destination of the route on time.

[0069] In the technical solution disclosed in this embodiment, in addition to calculating the vehicle startup time as described above, a trained analysis model can also be used to predict the vehicle startup time. This analysis model is trained using historical data, which may include a preset time period (e.g., the time period between the current time and a preset time, where the preset time can refer to any value such as 30 days, 60 days, or 100 days). Specifically, the historical data used to train the analysis model may include: vehicle VIN, date (month and day), day of the week, date specificity, weather on that day, GPS positioning each time the vehicle is powered on, and vehicle startup time (hour and minute). The date specificity may include whether it is a weekday, the first weekday after a weekend, the last weekday before a weekend, the first weekday after a holiday, the last weekday before a holiday, or the first weekday after a holiday. This data can be manually labeled or obtained using existing third-party data. The weather conditions may include light rain, moderate rain, heavy rain, light snow, etc. Moderate snow, heavy snow, hail, dense fog, etc.; Before training, the vehicle can be divided into multiple historical data sets based on the GPS positioning. The distance difference between the GPS positioning of the corresponding vehicle when it is powered on in different historical data sets is not greater than a preset distance. The analysis model is trained by self-learning using historical data from different historical data sets. During the training process, the input data is the vehicle VIN, date (month and day), day of the week, date special characteristics (holidays, weekdays), weather of the day, and GPS positioning of the vehicle each time it is powered on. The output data is the vehicle's start time (hour and minute) each time. At this time, an analysis model matching different GPS positioning can be obtained. When specifically predicting the vehicle's start time, the analysis model used to perform this prediction can be determined based on the GPS positioning of the vehicle when it was most recently powered off. Then, the vehicle VIN, date, day of the week, date special characteristics, and weather of the day corresponding to the current moment can be obtained. The vehicle VIN, date, day of the week, date special characteristics, and weather of the day are input into the analysis model to predict the start time. In this scheme, the GPS positioning error reported each time the power is turned off and on is considered to be within a preset distance (600 meters) and can be counted as a location. When obtaining GPS positioning, the GPS information in the CAN signal is selected first. If there is no GPS information in the CAN signal each time the power is turned off and on, the GPS information in the travel embedded point can be used.

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

[0071] In this solution, it is necessary to confirm whether the vehicle needs a backup vehicle. Whether the vehicle needs a backup vehicle 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-vehicle environment parameters refer to the in-vehicle environment data at the current moment, and the target environment data refer to the in-vehicle environment parameters under ideal conditions (environment where the user feels comfortable). The in-vehicle environment parameters may include in-vehicle temperature, seat temperature, steering wheel temperature, concentration of harmful gases in the vehicle, etc. At this time, the target environment parameters may include the target values ​​of the in-vehicle temperature, seat temperature, steering wheel temperature, and concentration of harmful gases in the vehicle.

[0073] Furthermore, the timing for acquiring the in-vehicle environmental parameters can be determined based on the vehicle startup time. If the in-vehicle environmental parameters are acquired too early, the acquired parameters will differ significantly from those corresponding to the vehicle startup time. If the parameters are acquired too late, sufficient backup time may not be available. Therefore, in this solution, the in-vehicle environmental parameters can be acquired at a preset time before the vehicle startup time. This 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 acquired 10, 15, or 20 minutes before the vehicle startup time.

[0074] Step S103: Calculate the vehicle standby time based on the in-vehicle environmental parameters, target environmental parameters, and standby conditions. The standby conditions refer to the working status data of the vehicle system during the standby process.

[0075] After obtaining the in-vehicle environmental parameters and target environmental parameters, it can be pre-determined whether the vehicle requires a backup vehicle. If a backup vehicle is needed, the process can continue; otherwise, the process can be stopped. When determining whether a backup vehicle is needed, after obtaining the target parameters, the target parameters are compared with the target environmental parameters. Based on the comparison result, it is determined whether a backup vehicle is needed. In this solution, the in-vehicle environmental parameters can refer to the in-vehicle temperature, and the target environmental parameters can refer to the target temperature. After obtaining the in-vehicle temperature, it is compared with the target temperature. When the difference between the in-vehicle temperature and the target temperature is greater than a preset temperature difference, it indicates that the vehicle requires a backup vehicle; otherwise, it indicates that the vehicle does not require a backup vehicle.

[0076] When a vehicle needs to be brought in for standby, the standby time needs to be calculated in order to reasonably set the time for sending the standby reminder. When calculating the standby time, it can be calculated based on the current in-vehicle environmental parameters, the target in-vehicle environmental parameters, and the standby operating conditions. The standby operating conditions refer to the working status data of the vehicle system during the standby process. The vehicle system is used to adjust the in-vehicle environmental parameters. For example, the vehicle system can be a vehicle air conditioner. The standby operating conditions refer to the output power, working level, and other data of the air conditioning system during the standby process. The standby time refers to the time it takes for the in-vehicle environmental parameters to reach the target in-vehicle environmental parameters after the vehicle system is started.

[0077] In another embodiment of the technical solution disclosed in this application, considering that the standby effect of different vehicles during the standby process may vary, even if the same standby conditions are used to control the in-vehicle environmental parameters to reach the target in-vehicle environmental parameters, the time required may differ. For example, as the air conditioning system ages or the air conditioning filter gradually becomes clogged, the heating and cooling capacity of the air conditioning system will gradually decrease. In this case, even if the in-vehicle temperature is adjusted under the same air conditioning conditions, the time required will differ depending on the degree of aging and the degree of clog in the air conditioning filter. Therefore, in this embodiment, the standby time is calculated based on the in-vehicle environmental parameters, the target environmental parameters, and the standby conditions. See [link to relevant documentation]. Figure 3 The process may include:

[0078] Step S301: Obtain the curves showing the changes in in-vehicle environmental parameters with the duration of vehicle preparation under preparation conditions.

[0079] In the technical solution disclosed in this embodiment, the change curve of the in-vehicle environmental parameters with the duration of standby under the standby condition is obtained from the historical standby data. The time required for the in-vehicle environmental parameters to reach the target environmental parameters can be analyzed through this change curve.

[0080] Step S302: Calculate the time taken for the in-vehicle environmental parameters to reach the target environmental parameters 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 to ensure the reliability of the calculated standby time.

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

[0083] In this step, to ensure the vehicle's interior environment is optimal when the user uses the vehicle, after determining the preparation time and vehicle start time, a preparation reminder time is determined based on these parameters. This preparation reminder time is the moment the reminder is sent to the target user. When the preparation reminder time arrives, a preparation reminder needs to be sent to the target user. After receiving the preparation reminder, the target user can determine whether they need to control the vehicle for preparation based on their own needs. In the technical solution disclosed in this application, the target user may not be able to view and respond to the preparation reminder immediately upon receiving it. Therefore, in this solution, a preparation reminder needs to be sent to the target user some time in advance. The time between the sending time of the preparation reminder and the vehicle start time must be at least greater than the preparation time. Only when it is greater than the preparation time can sufficient preparation time be provided for the vehicle. That is, the reminder notification time is located before the vehicle start time on the timeline, and the difference between the two is greater than the preparation time. A first preset duration on the timeline preceding the vehicle's start time can be used as the vehicle standby reminder time. The first preset duration is the sum of the standby duration and a second preset duration. The second preset duration is a fixed duration, such as 5 minutes, 6 minutes, 7 minutes, or 8 minutes, etc.

[0084] Step S105: When the current time is detected to have reached the vehicle standby reminder time, a vehicle standby reminder is sent to the target user.

[0085] Once the vehicle standby reminder time is determined, the current time is detected based on the vehicle standby reminder time to determine whether the current time has reached the vehicle standby reminder time. When it is detected that the current time has reached the vehicle standby reminder time, a vehicle standby reminder is sent to the target user to prompt the user to prepare the vehicle in advance. Then, based on the vehicle standby command sent by the target user, the vehicle is controlled to enter the standby state.

[0086] As can be seen from the above scheme, the scheme first obtains the vehicle start time, then calculates the standby time based on the in-vehicle environmental parameters and the target environmental parameters, and then calculates the standby reminder time based on the standby time and the vehicle start time. When the current time is detected to have reached the standby reminder time, a standby 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 the in-vehicle ambient temperature has reached a suitable temperature when the vehicle start time arrives, so that the user can start the vehicle immediately.

[0087] Furthermore, considering that outdoor temperatures vary with the solar terms, users' clothing habits also differ. For example, in the hot summer, users wear light clothing, and when preparing the car, controlling the interior temperature at around 27°C will make them feel comfortable. In the cold winter, users wear thicker clothing, and if the interior temperature is still controlled at around 27°C when preparing the car, they will feel that the interior temperature is too high. Therefore, it can be seen that the target environmental parameters are different for different external environments, so that appropriate car preparation strategies can be provided for 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 vehicle's location refers to its current location, which can be a county, district, or city. Once the vehicle's location is determined, the average daily temperature for a preset time period can be obtained. This preset time period can be the average daily temperature over the three days prior to the current time. Based on the average daily temperature, the user's clothing index can be determined, and the clothing index can be used to determine the user's required value for the target environmental parameter. In this solution, a mapping relationship between the average daily temperature and the clothing index can be established in advance, and then a mapping relationship between the average daily temperature and the target environmental parameter (in this case, both the in-vehicle environmental parameter and the target environmental parameter refer to the in-vehicle temperature) can be established. Thus, after obtaining the average daily temperature, the target environmental parameter corresponding to the average daily temperature can be obtained. Alternatively, the clothing index corresponding to the vehicle's location on that day can be obtained directly from an electronic map system, and then the corresponding target environmental parameter can be directly determined based on the clothing index.

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

[0092] The higher the average daytime temperature, the cooler the user's clothing, and the higher the value of the target environmental parameter; conversely, the lower the average daytime temperature, the thicker the user's clothing, and the lower the value of the target environmental parameter.

[0093] This embodiment discloses a vehicle standby reminder device based on standby time. For the specific working content of each unit in the device, please refer to the content of the above method embodiment.

[0094] The standby reminder device based on standby time provided in the embodiments of the present invention is described below. The standby reminder device based on standby time described below can be referred to in correspondence with the standby reminder method based on standby time described above.

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

[0096] Start-up time acquisition unit 10 is used to acquire the vehicle start-up time;

[0097] The vehicle preparation process analysis unit 20 is used to acquire in-vehicle environmental parameters and target environmental parameters; and to calculate the vehicle preparation time based on the in-vehicle environmental parameters, target environmental parameters and vehicle preparation conditions, wherein the vehicle preparation conditions refer to the working status 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 has reached the vehicle preparation reminder time, it sends a vehicle preparation reminder to the target user.

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

[0100] Figure 6 The hardware structure diagram of the standby reminder device based on standby time provided in the embodiment of the present invention is shown below. 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 this embodiment of the invention, the number of processor 100, communication interface 200, memory 300, and communication bus 400 is at least one, and the processor 100, communication interface 200, and memory 300 communicate with each other through communication bus 400; obviously, Figure 6 The communication connections shown for the processor 100, communication interface 200, memory 300, and communication bus 400 are optional.

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

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

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

[0105] Specifically, processor 100 is used for:

[0106] Obtain vehicle start time;

[0107] Acquire in-vehicle environmental parameters and target environmental parameters;

[0108] The standby time is calculated based on the in-vehicle environmental parameters, target environmental parameters, and standby conditions. The standby conditions refer to the working status data of the vehicle system during the standby process.

[0109] The vehicle preparation reminder time is calculated based on the vehicle preparation time and the vehicle start time.

[0110] When the current time is detected to have reached the vehicle standby reminder time, a vehicle standby reminder is sent to the target user.

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

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

[0113] For ease of description, the above system is described by dividing it into various modules based on their functions. Of course, in implementing this application, the functions of each module can be implemented in one or more software and / or hardware.

[0114] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for system or system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and relevant parts can be referred to the descriptions in the method embodiments. The systems and system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0115] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0116] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0117] It should also be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0118] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those 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 invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A vehicle standby reminder method based on standby time, characterized in that, include: Obtain vehicle start time; Acquire in-vehicle environmental parameters and target environmental parameters; The standby time is calculated based on the in-vehicle environmental parameters, target environmental parameters, and standby conditions. The standby conditions refer to the working status data of the vehicle system during the standby process. The vehicle preparation reminder time is calculated based on the vehicle preparation time and the vehicle start time. When the current time is detected to have reached the vehicle standby reminder time, a vehicle standby reminder is sent to the target user; The acquisition of vehicle start time includes: Get parking location; Determine if the parking location is in a frequently parked area; When the parking location is a frequently parked location, obtain the historical start time of the vehicle corresponding to the frequently parked location; Obtain the driving route and historical travel time corresponding to the frequent parking locations, obtain the road condition information and predicted travel time of the driving route, calculate the time difference between the predicted travel time and the historical travel time, and advance the vehicle's historical start time along the time axis to the time node corresponding to the time difference as the vehicle start time. The methods for determining the driving route, historical vehicle start time, and historical usage time include: In historical driving data, when a vehicle is parked in a frequently stopped location, if the probability of the vehicle traveling a certain route after starting is greater than a preset threshold, then that route is the driving route corresponding to the frequently stopped location; the average historical start time of the vehicle corresponding to that route is the historical start time of the vehicle corresponding to the frequently stopped location; and the average travel time of that route is the historical travel time corresponding to the frequently stopped location.

2. The vehicle standby reminder method based on standby time according to claim 1, characterized in that, The standby time is calculated based on the in-vehicle environmental parameters, target environmental parameters, and standby operating conditions, including: During the vehicle preparation process, obtain the curves showing the changes in in-vehicle environmental parameters with the duration of vehicle preparation under preparation conditions; Based on the change curve, the time taken to reach the target environmental parameter from the in-vehicle environmental parameter during the vehicle preparation process is calculated, and the time taken is recorded as the vehicle preparation time.

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

4. The vehicle standby reminder method based on standby time according to claim 1, characterized in that, After obtaining the in-vehicle environmental parameters and target environmental parameters, and before calculating the standby time based on the in-vehicle environmental parameters, target environmental parameters, and standby conditions, the following steps are also included: Based on the comparison results between the in-vehicle environmental parameters and the target environmental parameters, it is determined whether the vehicle has a backup vehicle requirement. If a backup vehicle requirement exists, the process continues.

5. The standby reminder method based on standby time according to claim 4, characterized in that, Obtain target environment parameters, including: Obtain the average daytime temperature of the area where the vehicle is located within a preset time period; Obtain target environmental parameters that match the daytime average temperature.

6. A vehicle standby reminder device based on standby time, characterized in that, The apparatus for performing the standby reminder method based on standby time as described in any one of claims 1-5 includes: Start-up time acquisition unit, used to acquire vehicle start-up time; The vehicle preparation process analysis unit is used to acquire in-vehicle environmental parameters and target environmental parameters; and to calculate the vehicle preparation time based on the in-vehicle environmental parameters, target environmental parameters and vehicle preparation conditions, wherein the vehicle preparation conditions refer to the working status 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 detects that the current time has reached the vehicle preparation reminder time, it sends a vehicle preparation reminder to the target user. The acquisition of vehicle start time includes: Get parking location; Determine if the parking location is in a frequently parked area; When the parking location is a frequently parked location, obtain the historical start time of the vehicle corresponding to the frequently parked location; Obtain the driving route and historical travel time corresponding to the frequent parking locations, obtain the road condition information and predicted travel time of the driving route, calculate the time difference between the predicted travel time and the historical travel time, and advance the vehicle's historical start time along the time axis to the time node corresponding to the time difference as the vehicle start time.

7. A vehicle standby reminder device based on standby time, characterized in that, include: Memory and processor; The memory is used to store programs; The processor is configured to execute the program to implement each step of the standby reminder method based on standby time as described in any one of claims 1-5.

8. A vehicle, characterized in that, Includes the standby reminder device based on standby time as described in claim 7.

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