Vehicle cabin remote control method and device and medium

Abstract

The invention provides a vehicle cabin remote control method, which comprises the following steps: acquiring a driving record of a vehicle in a unit time period, extracting spatio-temporal data and trajectory data of vehicle operation from a single driving record, and generating a vehicle using behavior mode, the spatio-temporal data comprising a time node and a position node, and the trajectory data comprising a driving trajectory and a driving speed; analyzing the coincidence rate of the spatio-temporal data and the trajectory data of the vehicle using behavior modes in a unit time period, combining the vehicle using behavior modes with the coincidence rate higher than a preset value, and endowing the vehicle using behavior modes with behavior tags for judging the vehicle using fixity according to the coincidence rate; the position coordinates of the user, the vehicle state and the current time are obtained, whether the vehicle using behavior mode is met or not is judged, if yes, a remote control instruction is sent out, a corresponding comfortable driving mode is called, a signal for entering the comfortable driving mode is sent to the vehicle, and the comfortable driving mode comprises power mode setting and cabin mode setting.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile intelligent control, and in particular to a vehicle cockpit remote control method, device and medium. Background Art

[0002] With the increase in the number of cars, cars have become an indispensable transportation option for daily commuting and outings. The electrification and intelligent development of cars require cars to adapt to more user usage scenarios.

[0003] In related technologies, users can remotely control cars through mobile phones, turn on car air conditioning, seat heating and other functions, and adjust the interior environment of the car to a comfortable mode before getting in the car. However, in actual use, the usage rate of remote air conditioning is not high. The main reason is that the activation of remote air conditioning still requires people to operate and set it manually. Frequent operation causes a bad user experience. At the same time, users can easily forget to remotely control the vehicle in advance.

[0004] To this end, the new control method adopts a strategy to determine whether the user needs to get in the car based on the user's car usage time and the distance between the user and the car. However, this judgment method can only determine the time pattern of car usage, but cannot obtain the user's exact car usage behavior, and therefore cannot make corresponding vehicle cabin adjustments.

[0005] Therefore, the existing intelligent remote control of vehicle comfort modes still has shortcomings and needs to be improved urgently. Summary of the invention

[0006] In view of the deficiencies of the prior art, the present invention proposes a vehicle cockpit remote control method, comprising:

[0007] Acquire the driving records of the vehicle within a unit time period, extract the spatiotemporal data and trajectory data of the vehicle operation from a single driving record and generate a vehicle behavior pattern, wherein the spatiotemporal data includes a time node and a location node, and the trajectory data includes a driving trajectory and a driving speed;

[0008] Analyze the overlap rate of spatiotemporal data and trajectory data of vehicle use behavior patterns within a unit time period, merge vehicle use behavior patterns with an overlap rate higher than a preset value, and assign a behavior label for judging the fixity of vehicle use to the vehicle use behavior pattern according to the overlap rate;

[0009] Obtain the user's location coordinates, vehicle status and current time, and determine whether the location coordinates, vehicle status and current time meet the vehicle use behavior pattern. If so, send a remote control command to the vehicle control module and terminal device;

[0010] The remote control command calls the corresponding comfort driving mode according to the vehicle status and trajectory data, and sends a signal to the vehicle to enter the comfort driving mode, where the comfort driving mode includes a power mode setting and a cockpit mode setting.

[0011] A further technical solution of this embodiment is that obtaining the driving record of the vehicle within a unit time period includes receiving data sent from a vehicle control module or a user terminal device.

[0012] A further technical solution of this embodiment is that the vehicle status includes vehicle speed, vehicle power status, door status, vehicle power and vehicle position.

[0013] A further technical solution of this embodiment is that when the remote control command calls the corresponding comfort driving mode according to the vehicle state and trajectory data, calling the power mode setting includes the following steps:

[0014] Calculating the planned power consumption of the vehicle usage behavior pattern according to the trajectory data, and sending a power limit instruction to the vehicle control module when the difference between the vehicle power consumption and the planned power consumption is less than a preset value;

[0015] The driving speed change nodes are obtained and the driving speed is divided according to the change nodes to obtain the average speed of the divided intervals, and the optimal driving mode is obtained according to the average speed of the intervals, and the driving mode with the largest proportion is called as the power mode setting of the vehicle use behavior mode.

[0016] A further technical solution of this embodiment is that when the remote control command calls the corresponding comfort driving mode according to the vehicle status and trajectory data, calling the cabin mode setting includes the following steps: the cabin mode setting includes air conditioning function control, seat function control, fragrance control, and steering wheel heating function control.

[0017] A further technical solution of this embodiment is to merge the vehicle behavior patterns with the same departure and arrival locations when analyzing the overlap rate of spatiotemporal data and trajectory data of the vehicle behavior patterns within a unit time period.

[0018] A further technical solution of this embodiment is that when assigning the vehicle use behavior pattern with a behavior label for determining the fixity of vehicle use according to the overlap rate, it also includes dividing the behavior labels corresponding to several overlap rate intervals.

[0019] A further technical solution of this embodiment is that, when judging whether the vehicle use behavior pattern is satisfied, a corresponding judgment process is called according to different tags, and the judgment process includes:

[0020] If the vehicle use behavior pattern is satisfied, a remote control instruction is sent to the vehicle control module, and an execution confirmation notification is sent to the terminal device;

[0021] or

[0022] If the judgment condition satisfies the vehicle use behavior pattern, an execution confirmation notification is sent to the terminal device;

[0023] In response to the affirmative reply information sent by the terminal device, a remote control instruction is sent to the vehicle control module.

[0024] The present invention also provides a vehicle cabin remote control device, comprising:

[0025] A collection module, which is used to obtain the driving records of the vehicle within a unit time period, extract the spatiotemporal data and trajectory data of the vehicle operation from a single driving record and generate a vehicle behavior pattern, wherein the spatiotemporal data includes a time node and a position node, and the trajectory data includes a driving trajectory and a driving speed;

[0026] An analysis module, which is used to analyze the overlap rate of spatiotemporal data and trajectory data of vehicle use behavior patterns within a unit time period, merge vehicle use behavior patterns with an overlap rate higher than a preset value, and assign a behavior label to the vehicle use behavior pattern for judging the fixity of vehicle use according to the overlap rate;

[0027] A judgment module is used to obtain the user's location coordinates, vehicle status and current time, and judge whether the location coordinates, vehicle status and current time meet the vehicle use behavior pattern. If so, a remote control instruction is issued to the vehicle control module and the terminal device;

[0028] The command module is used for the remote control command to call the corresponding comfortable driving mode according to the vehicle state and trajectory data, and send a signal to the vehicle to enter the comfortable driving mode, wherein the comfortable driving mode includes a power mode setting and a cockpit mode setting.

[0029] The present invention also provides a computer storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned vehicle cockpit remote control method is implemented.

[0030] The embodiments of the present invention utilize big data to collect the spatiotemporal data and trajectory data of vehicles, thereby analyzing the overlap rate of the spatiotemporal data and trajectory data of the vehicle usage behavior patterns within a unit time period, merging the vehicle usage behavior patterns with an overlap rate higher than a preset value, and analyzing the user's various daily fixed vehicle usage behaviors through the overlap rate mining, and performing richer and more diversified cabin function management for different vehicle usage behavior patterns. The system including air conditioning, purification, power, fragrance, etc. in the cabin is proactively pre-adjusted for the user, thereby achieving the control purpose of the intelligent remote comfort cabin, improving the comfort in the car while providing an experience that exceeds the user's expectations, greatly improving the convenience and vehicle usage experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] 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 some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0032] Figure 1 A flowchart of a vehicle cockpit remote control method according to a first embodiment of the present invention;

[0033] Figure 2 is a detailed flow chart of S3 of the first embodiment of the present invention;

[0034] Figure 3 This is a structural block diagram of a vehicle cockpit remote control method and device according to the second embodiment of the present invention. DETAILED DESCRIPTION

[0035] 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, and the well-known modules, units and their connections, links, communications or operations are not shown or described in detail. In addition, the described features, architectures or functions can be combined in any way in one or more embodiments. It should be understood by those skilled in the art that the various embodiments described below are only for illustration and not for limiting the scope of protection of the present invention. It can also be easily understood that the modules or units or processing methods in the various embodiments described herein and shown in the drawings can be combined and designed according to various different configurations. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0036] First embodiment:

[0037] like Figure 1 to Figure 2As shown, this embodiment discloses a vehicle cockpit remote control method. The technical solution of the present invention mainly includes four steps: (1) obtaining user vehicle use behavior data; (2) analyzing user vehicle use behavior data; (3) entering / exiting judgment of intelligent remote comfort cockpit control; (4) an intelligent control method of the cockpit and the vehicle power system, specifically including the following steps:

[0038] S1 obtains the driving record of the vehicle within a unit time period, extracts the spatiotemporal data and trajectory data of the vehicle operation from a single driving record and generates a vehicle use behavior pattern. The spatiotemporal data includes time nodes and location nodes, and the trajectory data includes driving trajectory and driving speed. It can be understood by those skilled in the art that each vehicle operation can be identified as a vehicle use behavior trajectory. The vehicle control module (navigation) performs data analysis based on the user's usual vehicle use routes, location changes, time points, etc., to find out the user's fixed vehicle use behavior and time points, and fixed vehicle parking locations. For example, during working days, users have fixed time points for going to work or getting off work, fixed vehicle parking locations, or other vehicle use scenarios with strong regularity. The vehicle control module sends the user's fixed vehicle use time points and fixed vehicle parking locations to the cloud for processing via a wireless network. Among them, the time node includes the user's departure time and parking time, and the location node includes the parking location, which can be divided into the departure place and the destination in order; the driving trajectory in the trajectory data includes the trajectory connecting the departure place and the destination, the speed change of the vehicle at each moment during the driving process, and the overall average speed.

[0039] Furthermore, the way to obtain driving records includes receiving data sent from the vehicle control module or the user terminal device, that is, obtaining the information recorded by the vehicle's own GPS module, time module, and speedometer through the vehicle control module, and also obtaining the user's location and time of use through the electronic watch and smart terminal carried by the user. Information obtained through different channels can be used for mutual correction to avoid the problem of low accuracy caused by a single data source. In addition, the user's travel plan can also be received through the terminal worn by the user to prepare for entering the comfortable cockpit mode.

[0040] S2 analyzes the overlap rate of spatiotemporal data and trajectory data of vehicle usage behavior patterns within a unit time period, merges vehicle usage behavior patterns with overlap rates higher than a preset value, and assigns a behavior label to the vehicle usage behavior pattern for judging the fixity of vehicle usage according to the overlap rate; by analyzing the overlap rate, the user's daily fixed vehicle usage behavior can be cleaned out from the big data. Those skilled in the art can understand that the calculation of the overlap rate can be performed by comprehensively utilizing spatiotemporal data and trajectory data according to actual needs, and can be dominated by spatiotemporal data, dominated by trajectory data, or the average overlap rate of the two.

[0041] In this embodiment, when analyzing the overlap rate of spatiotemporal data and trajectory data of vehicle behavior patterns within a unit time period, the spatiotemporal data is mainly used. When classifying, the vehicle behavior patterns with the same departure and arrival parking places are merged, and the vehicle driving trajectories with the same departure and destination are merged and classified, which can effectively improve the analysis speed. In the same type of vehicle behavior patterns, by analyzing the time nodes of vehicle use, it can be determined whether the vehicle behavior pattern belongs to the morning or afternoon, working day or rest day or a fixed day of the week, so as to obtain a specific classification. At the same time, the road conditions in the vehicle behavior pattern can be further determined by combining the speed node analysis as needed, and the vehicle mode can be classified according to the congested road section and congested time. In addition, in the vehicle behavior patterns with the same departure place and destination, the user will change the driving trajectory according to the actual road construction, congestion or temporary passenger transportation, so in this embodiment, the overlap rate is first calculated with spatiotemporal data, and then it is corrected by the driving trajectory and driving speed, which effectively improves the accuracy of vehicle behavior pattern classification.

[0042] Specifically, when assigning a behavior label to the vehicle use behavior pattern for judging the fixity of vehicle use according to the overlap rate, it also includes dividing the behavior labels corresponding to several overlap rate intervals. In this embodiment, when analyzing the vehicle use behavior pattern, the following behavior labels are used for classification:

[0043] Car usage behavior pattern ①: The user's car usage behavior is very fixed.

[0044] Judgment requirements: The user's vehicle usage periodicity and time point overlap rate are as high as more than 95%.

[0045] Car usage behavior pattern ②: The user's car usage behavior is relatively fixed.

[0046] Judgment requirements: The user's vehicle usage periodicity and time point overlap rate are above 60% to 95%.

[0047] Car usage behavior pattern ③: The user's car usage behavior is not very fixed.

[0048] Judgment requirements: The user’s vehicle usage periodicity and time point overlap rate are less than 60%.

[0049] Car usage behavior pattern ④: the user’s plan to use the car.

[0050] Judgment requirement: Be able to obtain the exact time point of the user's temporary car use plan.

[0051] S3 obtains the user's location coordinates, vehicle status and current time, and determines whether the location coordinates, vehicle status and current time meet the vehicle behavior mode. If they do, a remote control command is issued to the vehicle control module and terminal device; the vehicle status includes vehicle speed, vehicle power status, door status, vehicle power and vehicle location. When judging, the conditions of multiple vehicle behavior modes are judged at the same time. When all the conditions of any vehicle behavior mode are met, a remote control command is issued to the vehicle control module. The judgment conditions specifically include:

[0052] A judgment condition is vehicle usage behavior mode ① and the vehicle position is ≤1 km away from the position under fixed vehicle usage behavior and the distance between the user and the vehicle is ≤1 km and the distance from the departure time point under the user's fixed vehicle usage behavior is ≤15min and the vehicle speed = 0 and the vehicle power status = off and the door status = locked; and the vehicle power ≥20%.

[0053] When the judgment result under this judgment condition is satisfied, the remote control instruction is directly output to the vehicle control module.

[0054] B judgment condition is vehicle usage behavior mode ②and the vehicle position is ≤1 km away from the position under fixed vehicle usage behavior and the distance between the user and the vehicle position is ≤1 km and the distance from the departure time point under the user's fixed vehicle usage behavior is ≤15min and vehicle speed = 0 and vehicle power status = off and door status = locked; and the vehicle power ≥20%.

[0055] When the result of the judgment condition is satisfied, it is necessary to further confirm the vehicle use behavior with the user: including confirming with the user through the cloud and mobile terminal, and if the user responds affirmatively, then the remote control command is output, otherwise the remote control command is not executed.

[0056] C judgment conditions are vehicle usage behavior mode ④ and the vehicle position is ≤1 km away from the position under fixed vehicle usage behavior and the distance between the user and the vehicle is ≤1 km and the distance from the departure time point under the user's fixed vehicle usage behavior is ≤15min and vehicle speed = 0 and vehicle power status = off and door status = locked; and the vehicle power ≥20%.

[0057] When the result of the judgment condition is satisfied, it is necessary to further confirm the vehicle use behavior with the user: including confirming with the user through the cloud and mobile terminal, and if the user responds affirmatively, then the remote control command is output, otherwise the remote control command is not executed.

[0058] D judgment condition only needs to meet vehicle behavior mode ③, and there is no need to execute remote control commands.

[0059] The S4 remote control command calls the corresponding comfortable driving mode according to the vehicle status and trajectory data, and sends a signal to the vehicle to enter the comfortable driving mode. The comfortable driving mode includes power mode settings and cabin mode settings. In order to further improve the user's car experience, calling the power mode setting in this embodiment includes the following two aspects. First, energy allocation is performed on the premise of ensuring the user's car use plan. The vehicle control module allocates energy according to the user's car use itinerary and the current vehicle power reserve, including calculating the planned power consumption of the vehicle use behavior pattern based on the trajectory data. When the difference between the vehicle power and the planned power consumption is less than the preset value, a power limit instruction is sent to the vehicle control module; it can be specifically divided into the following categories:

[0060] 1) Current power consumption - planned power consumption of vehicle usage mode ≥ 30%, and there is no power limit for remote cockpit control;

[0061] 2) Current power consumption - the planned power consumption of the vehicle usage mode is ≥ 20%, and the power limit of remote cockpit control is 50%;

[0062] 3) Current power consumption - planned power consumption of vehicle usage mode < 20%, and the remote cockpit control power limit is 0%;

[0063] The planned power usage of the vehicle is calculated based on the driving trajectory and speed of the vehicle usage behavior pattern, and the vehicle power is limited while giving priority to meeting travel needs.

[0064] Secondly, obtain the change nodes of the driving speed and divide the driving speed according to the change nodes, obtain the average speed of the interval after division, match the average speed of the interval to obtain the best driving mode, and call the driving mode with the largest proportion as the power mode setting of the vehicle behavior mode. Due to the influence of the road, some sections will be congested for a long time during the morning and evening peaks, and the vehicle will be in an idling state for a long time, and the battery consumption of the power mode will be large. On the highway section, it can be unobstructed, and the demand for vehicle power is greater. Therefore, in order to meet the needs of different road conditions, the driving speed is analyzed by the change nodes in this embodiment, so as to distinguish the congested sections with more change nodes or the highway sections with stable speed, and set the corresponding mode for the vehicle.

[0065] In this embodiment, when the remote control command calls the corresponding comfort driving mode according to the vehicle status and trajectory data, calling the cabin mode setting includes the following steps: the cabin mode setting includes air conditioning function control, seat function control, fragrance control, and steering wheel heating function control.

[0066] In the air conditioning function control, enter the automatic control mode according to the heat load inside and outside the car, set the appropriate target temperature and the appropriate blower air volume, including:

[0067] 1) External temperature ≥ 32°C

[0068] a. Actual temperature inside the vehicle - target comfortable temperature inside the vehicle (25°C) ≥ 15°C, enter automatic control mode, target setting temperature max cool (maximum cooling) operation;

[0069] b. When the actual temperature inside the vehicle is less than or equal to the target comfortable temperature inside the vehicle (25°C) by 10°C, the vehicle will enter the automatic control mode and the target set temperature will be 20°C.

[0070] c. Actual temperature inside the vehicle - target comfortable temperature inside the vehicle (25°C) ≥ 5°C, enter automatic control mode, and operate at the target set temperature of 25°C;

[0071] d. If the actual temperature inside the vehicle - the target comfortable temperature inside the vehicle (25°C) is less than 5°C, the vehicle will enter the automatic control mode and the target set temperature will be 25°C;

[0072] 2) External temperature ≤10℃

[0073] e. Target comfortable interior temperature (25°C) - actual interior temperature ≥ 25°C, enter automatic control mode, target setting temperature max hot (maximum heating) operation;

[0074] f. Target comfortable interior temperature (25°C) - actual interior temperature ≥ 15°C, enter automatic control mode, target set temperature 30°C;

[0075] g. Target comfortable interior temperature (25°C) - When the actual interior temperature is ≥10°C, the system will enter the automatic control mode and operate at the target set temperature of 25°C;

[0076] h. Target comfortable interior temperature (25°C) - When the actual interior temperature is less than 10°C, the system will enter the automatic control mode and operate at the target set temperature of 25°C;

[0077] In the seat function control module, the seat ventilation / heating is turned on according to the outside temperature and set to the ventilation / heating gear, including:

[0078] 1) When the outside temperature is ≥32°C, enter the seat ventilation mode

[0079] a. Actual vehicle interior temperature - target comfortable vehicle interior temperature (25°C) ≥ 15°C, with seat ventilation in the maximum gear position;

[0080] b. Actual vehicle interior temperature - target comfortable vehicle interior temperature (25°C) ≥ 10°C, and the seat ventilation position is lowered by one gear from a.

[0081] c. Actual vehicle interior temperature - target comfortable vehicle interior temperature (25°C) ≥ 5°C, the seat ventilation position is lowered by 2 gears based on a;

[0082] d. Actual vehicle interior temperature - target comfortable vehicle interior temperature (25°C) < 5°C, seat ventilation is in the minimum gear position;

[0083] 2) When the outside temperature is ≤10℃, the seat heating mode is activated.

[0084] e. Target comfortable interior temperature (25°C) - actual interior temperature ≥ 25°C, seat ventilation in max gear position;

[0085] f. Target comfortable interior temperature (25°C) - actual interior temperature ≥ 15°C, seat ventilation position is lowered by one gear from a;

[0086] g. Target comfortable interior temperature (25°C) - actual interior temperature ≥ 10°C, seat ventilation position is lowered by 2 gears from a;

[0087] h. Target comfortable interior temperature (25°C) - actual interior temperature < 10°C, seat ventilation stops;

[0088] In the body control module, the steering wheel heating function is turned on according to the outside temperature and set to the appropriate heating gear.

[0089] The embodiments of the present invention utilize big data to collect the spatiotemporal data and trajectory data of vehicles, thereby analyzing the overlap rate of the spatiotemporal data and trajectory data of vehicle usage behavior patterns within a unit time period, merging the vehicle usage behavior patterns with an overlap rate higher than a preset value, and analyzing the user's various daily fixed vehicle usage behaviors through overlap rate mining, so as to perform richer and more diversified cockpit function management for different vehicle usage behavior patterns, thereby greatly improving convenience and vehicle usage experience.

[0090] The differences between the present invention and the prior art and the benefits and advantages brought by the present invention are as follows:

[0091] 1) The present invention uses big data mining and calculation to analyze the user's daily fixed driving behavior, and intelligently manages the relevant functions of the remote cockpit for the user, greatly improving the convenience and car-using experience;

[0092] 2) The present invention obtains the user's daily plan by authorizing the user's mobile terminal, identifies temporary car use behavior, and intelligently manages the relevant functions of the remote cockpit for the user at the time of use, providing the user with a smarter car service and an experience beyond expectations;

[0093] 3) The present invention adopts a remote intelligent cockpit joint control solution, which creates a comfortable cockpit environment for users to the greatest extent from the user's body sensation, smell and other all-round control solutions.

[0094] Second embodiment:

[0095] Please refer to the figure Figure 3As shown, the present invention also provides a vehicle cabin remote control device, comprising

[0096] The acquisition module 201 is used to obtain the driving records of the vehicle within a unit time period, extract the spatiotemporal data and trajectory data of the vehicle operation from a single driving record and generate a vehicle behavior pattern, wherein the spatiotemporal data includes a time node and a position node, and the trajectory data includes a driving trajectory and a driving speed;

[0097] An analysis module 202 is used to analyze the overlap rate of spatiotemporal data and trajectory data of vehicle use behavior patterns within a unit time period, merge vehicle use behavior patterns with an overlap rate higher than a preset value, and assign a behavior label to the vehicle use behavior pattern for determining the fixity of vehicle use according to the overlap rate;

[0098] The judgment module 203 is used to obtain the user's location coordinates, vehicle status and current time, and judge whether the location coordinates, vehicle status and current time meet the vehicle use behavior pattern. If so, a remote control instruction is issued to the vehicle control module and the terminal device;

[0099] The instruction module 204 is used for the remote control instruction to call the corresponding comfortable driving mode according to the vehicle state and trajectory data, and send a signal to the vehicle to enter the comfortable driving mode, and the comfortable driving mode includes power mode setting and cockpit mode setting.

[0100] The modules of this embodiment are the same as the corresponding steps of the above method embodiment, and will not be repeated here.

[0101] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0102] An embodiment of the present invention further provides a computer storage medium on which a computer program is stored. When the program is executed by a processor, the vehicle cabin remote control method in the above embodiments is implemented.

[0103] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing related hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned vehicle cockpit remote control methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0104] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the relevant technology. The computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, terminal, or network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, RAM, ROM, magnetic disks or optical disks.

[0105] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0106] The above embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for those of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A vehicle cockpit remote control method, characterized in that: include: Acquire the driving records of the vehicle within a unit time period, extract the spatiotemporal data and trajectory data of the vehicle operation from a single driving record and generate a vehicle behavior pattern, wherein the spatiotemporal data includes a time node and a location node, and the trajectory data includes a driving trajectory and a driving speed; Analyze the overlap rate of spatiotemporal data and trajectory data of vehicle use behavior patterns within a unit time period, merge vehicle use behavior patterns with an overlap rate higher than a preset value, and assign a behavior label for judging the fixity of vehicle use to the vehicle use behavior pattern according to the overlap rate; Obtain the user's location coordinates, vehicle status and current time, and determine whether the location coordinates, vehicle status and current time meet the vehicle use behavior pattern. If so, send a remote control command to the vehicle control module and terminal device; The remote control command calls the corresponding comfort driving mode according to the vehicle status and trajectory data, and sends a signal to the vehicle to enter the comfort driving mode, where the comfort driving mode includes a power mode setting and a cockpit mode setting.

2. The vehicle cabin remote control method according to claim 1, characterized in that: The obtaining of the driving record of the vehicle within a unit time period includes receiving data sent from a vehicle control module or a user terminal device.

3. The vehicle cabin remote control method according to claim 1, characterized in that: The vehicle status includes vehicle speed, vehicle power status, vehicle door status, vehicle power and vehicle location.

4. The vehicle cockpit remote control method according to claim 2, characterized in that: When the remote control command calls the corresponding comfort driving mode according to the vehicle state and trajectory data, calling the power mode setting includes the following steps: Calculating the planned power consumption of the vehicle usage behavior pattern according to the trajectory data, and sending a power limit instruction to the vehicle control module when the difference between the vehicle power consumption and the planned power consumption is less than a preset value; The driving speed change nodes are obtained and the driving speed is divided according to the change nodes to obtain the average speed of the divided intervals, and the optimal driving mode is obtained according to the average speed of the intervals, and the driving mode with the largest proportion is called as the power mode setting of the vehicle use behavior mode.

5. The vehicle cockpit remote control method according to claim 1, characterized in that: When the remote control command calls the corresponding comfort driving mode according to the vehicle status and trajectory data, calling the cabin mode setting includes the following steps: the cabin mode setting includes air conditioning function control, seat function control, fragrance control, and steering wheel heating function control.

6. The vehicle cabin remote control method according to claim 5, characterized in that: When analyzing the overlap rate of spatiotemporal data and trajectory data of vehicle usage behavior patterns within a unit time period, vehicle usage behavior patterns with the same departure and arrival locations are merged.

7. The vehicle cabin remote control method according to claim 1, characterized in that: When assigning the vehicle use behavior pattern with a behavior label for determining the fixity of vehicle use according to the overlap rate, it also includes dividing the behavior labels corresponding to a plurality of overlap rate intervals.

8. The vehicle cockpit remote control method according to claim 7, characterized in that: When judging whether the vehicle use behavior pattern is met, a corresponding judgment process is called according to different tags, and the judgment process includes: If the vehicle use behavior pattern is satisfied, a remote control instruction is sent to the vehicle control module, and an execution confirmation notification is sent to the terminal device; or If the judgment condition satisfies the vehicle use behavior pattern, an execution confirmation notification is sent to the terminal device; In response to the affirmative reply information sent by the terminal device, a remote control instruction is sent to the vehicle control module.

9. A vehicle cabin remote control device, characterized in that: include A collection module, which is used to obtain the driving records of the vehicle within a unit time period, extract the spatiotemporal data and trajectory data of the vehicle operation from a single driving record and generate a vehicle behavior pattern, wherein the spatiotemporal data includes a time node and a position node, and the trajectory data includes a driving trajectory and a driving speed; An analysis module, which is used to analyze the overlap rate of spatiotemporal data and trajectory data of vehicle use behavior patterns within a unit time period, merge vehicle use behavior patterns with an overlap rate higher than a preset value, and assign a behavior label to the vehicle use behavior pattern for judging the fixity of vehicle use according to the overlap rate; A judgment module is used to obtain the user's location coordinates, vehicle status and current time, and judge whether the location coordinates, vehicle status and current time meet the vehicle use behavior pattern. If so, a remote control instruction is issued to the vehicle control module and the terminal device; The command module is used for the remote control command to call the corresponding comfortable driving mode according to the vehicle state and trajectory data, and send a signal to the vehicle to enter the comfortable driving mode, wherein the comfortable driving mode includes a power mode setting and a cockpit mode setting.

10. A storage medium, characterized in that: A computer program is stored thereon, and when the program is executed by a processor, the vehicle cockpit remote control method as claimed in any one of claims 1 to 8 is implemented.

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