Vehicle door handle heating method, device and equipment and computer readable storage medium

Abstract

The invention discloses an automobile door handle heating method, device and equipment and a computer readable storage medium, and belongs to the technical field of automobiles. The vehicle door handle heating method comprises the steps that the real-time position of mobile intelligent equipment of a vehicle user is determined; determining a first distance between the mobile intelligent device and the vehicle based on the real-time position and the vehicle position; when the first distance is smaller than a first preset distance threshold value, combining the real-time position and historical position data of the mobile intelligent equipment to predict a motion track of a vehicle user; based on the motion trail of the vehicle user and the vehicle position, whether the vehicle user has a driving demand or not is judged; when it is judged that the vehicle user has the driving demand, the vehicle door handle heating module is controlled to heat the vehicle door handle to the preset temperature, manual operation of the vehicle user is not needed, whether the vehicle user has the driving demand or not is automatically judged, the vehicle door handle is heated in advance when the vehicle user has the driving demand, and the intelligent level of the vehicle is improved.

Description

Technical Field

[0001] The present application relates to the field of automobile technology, and in particular to a method, device, equipment and computer-readable storage medium for heating a door handle. Background Art

[0002] In extremely cold weather conditions, especially when the temperature drops below freezing, the vehicle door handles may become frozen, making it impossible for the vehicle user to unlock the vehicle door.

[0003] In the related art, vehicle users make an appointment in advance to heat the door handles in a mobile smart terminal application according to their travel time. After receiving the appointment information, the vehicle controls the door handle heating module to heat the door handles.

[0004] However, this method requires users to make manual reservations in advance. Once the user forgets to make a reservation, he or she will find that the door handles are frozen when using the car, which will cause user complaints and the level of intelligence is low. Summary of the invention

[0005] The present application provides a method, device, equipment and computer-readable storage medium for heating a vehicle door handle, which can solve the technical problem of low intelligence level of the vehicle door handle heating method existing in the prior art.

[0006] In a first aspect, an embodiment of the present application provides a method for heating a door handle, the method comprising:

[0007] Determine the real-time location of a vehicle user's mobile smart device;

[0008] Based on the real-time position and the vehicle position, determining a first distance between the mobile smart device and the vehicle;

[0009] When the first distance is less than a first preset distance threshold, combining the real-time location and historical location data of the mobile smart device to predict a movement trajectory of the vehicle user;

[0010] Based on the movement trajectory and vehicle position of the vehicle user, determining whether the vehicle user has a driving demand;

[0011] When it is determined that the vehicle user has a driving demand, the door handle heating module is controlled to heat the door handle to a preset temperature.

[0012] In combination with the first aspect, in one implementation, determining the real-time location of the vehicle user's mobile smart device includes:

[0013] Determine whether there is a target Bluetooth signal around the vehicle, where the target Bluetooth signal is a Bluetooth signal of a mobile smart device paired with the vehicle-mounted Bluetooth;

[0014] When a target Bluetooth signal exists, determining a signal strength of the target Bluetooth signal;

[0015] Based on the signal strength of the target Bluetooth signal and the vehicle location, the real-time location of the vehicle user's mobile smart device is determined.

[0016] In combination with the first aspect, in one implementation, determining the real-time location of the vehicle user's mobile smart device includes:

[0017] Determine the real-time location of the vehicle user's mobile smart device from the high-precision map server.

[0018] In combination with the first aspect, in one implementation, combining the real-time location and the historical location data of the mobile smart device to predict the movement trajectory of the vehicle user includes:

[0019] Preprocessing the historical location data of the mobile smart device to obtain preprocessed historical location data;

[0020] Performing feature extraction on the preprocessed historical location data to obtain movement features of the vehicle user;

[0021] Based on the real-time position and the movement characteristics, a movement trajectory of the vehicle user is predicted.

[0022] In combination with the first aspect, in one implementation, predicting the movement trajectory of the vehicle user based on the real-time position and the movement characteristics includes:

[0023] The real-time position and the movement characteristics are input into a pre-built trajectory prediction model, and the movement trajectory of the vehicle user is output, wherein the trajectory prediction model is built based on a machine learning algorithm.

[0024] In combination with the first aspect, in one implementation, judging whether the vehicle user has a driving demand based on the movement trajectory and vehicle position of the vehicle user includes:

[0025] Determine a target distance between a target trajectory point and a vehicle position, wherein the target trajectory point is a trajectory point in the motion trajectory that is closest to the vehicle position;

[0026] Determine the target time for the vehicle user to reach the vehicle location from the target trajectory point;

[0027] When the target distance is less than a second preset distance threshold, and / or the target duration is less than a preset duration threshold, it is determined that the vehicle user has a driving demand, otherwise it is determined that the vehicle user has no driving demand.

[0028] In combination with the first aspect, in one implementation, controlling the door handle heating module to heat the door handle to a preset temperature includes:

[0029] Get the current ambient temperature;

[0030] Determine the heating power of the door handle heating module corresponding to the current ambient temperature;

[0031] The door handle heating module is controlled to heat the door handle to a preset temperature according to the heating power.

[0032] In a second aspect, an embodiment of the present application provides a door handle heating device, the door handle heating device comprising:

[0033] A first determination module, which is used to determine the real-time location of the vehicle user's mobile smart device;

[0034] A second determination module, which is used to determine a first distance between the mobile smart device and the vehicle based on the real-time position and the vehicle position;

[0035] a prediction module, configured to predict a movement trajectory of the vehicle user by combining the real-time location and historical location data of the mobile smart device when the first distance is less than a first preset distance threshold;

[0036] A judgment module, which is used to judge whether the vehicle user has a driving demand based on the movement trajectory and vehicle position of the vehicle user;

[0037] The control module is used to control the door handle heating module to heat the door handle to a preset temperature when it is determined that the vehicle user has a driving demand.

[0038] In a third aspect, an embodiment of the present application provides a door handle heating device, comprising a processor, a memory, and a door handle heating program stored in the memory and executable by the processor, wherein when the door handle heating program is executed by the processor, the steps of the door handle heating method described in any one of the first aspects are implemented.

[0039] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a door handle heating program is stored. When the door handle heating program is executed by a processor, the steps of the door handle heating method as described in any one of the first aspects are implemented.

[0040] The beneficial effects brought by the technical solution provided in the embodiments of the present application include:

[0041] By determining the real-time location of the vehicle user's mobile smart device; determining a first distance between the mobile smart device and the vehicle based on the real-time location and the vehicle location; when the first distance is less than a first preset distance threshold, predicting the movement trajectory of the vehicle user in combination with the real-time location and the historical location data of the mobile smart device; judging whether the vehicle user has a need to drive based on the movement trajectory of the vehicle user and the vehicle location; when it is judged that the vehicle user has a need to drive, controlling the door handle heating module to heat the door handle to a preset temperature, thereby solving the problem in the related art that in extremely low temperature weather conditions, the vehicle user needs to manually make an appointment in advance for door handle heating through the application of the mobile smart terminal. Once the user forgets to make an appointment, he will find that the door handle is frozen when using the car, which will cause user complaints and a low level of intelligence. The system realizes automatic judgment of whether the vehicle user has a need to drive, and heats the door handle in advance when there is a need to drive, thereby improving the intelligence level of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a schematic flow chart of a first embodiment of a method for heating a vehicle door handle of the present application;

[0043] Figure 2 This is a schematic diagram of the functional modules of an embodiment of the vehicle door handle heating device of the present application;

[0044] Figure 3 This is a schematic diagram of the hardware structure of the door handle heating device involved in the embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0046] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0047] In a first aspect, an embodiment of the present application provides a method for heating a vehicle door handle.

[0048] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the door handle heating method of the present application. Figure 1 As shown, the door handle heating method includes:

[0049] Step 110: Determine the real-time location of the vehicle user's mobile smart device;

[0050] Among them, mobile smart devices include but are not limited to mobile phones, Bluetooth headsets, smart keys, etc., and this application does not make specific limitations on this.

[0051] In specific implementation, the vehicle can determine the real-time location of the vehicle user's mobile smart device through the Bluetooth signal of the vehicle user's mobile smart device, high-precision map server, etc.

[0052] Step 120: Determine a first distance between the mobile smart device and the vehicle based on the real-time position and the vehicle position;

[0053] Furthermore, after determining the real-time position of the vehicle user's mobile smart device, the real-time position of the mobile smart device is sent to the on-board unit, and the on-board unit determines the first distance between the mobile smart device and the vehicle based on the real-time position and the vehicle position using the Euler formula.

[0054] Step 130: When the first distance is less than a first preset distance threshold, combining the real-time location and historical location data of the mobile smart device to predict the movement trajectory of the vehicle user;

[0055] The historical location data of the mobile smart device includes the location data of the mobile smart device in the past period of time, including: timestamp, longitude, latitude and other information.

[0056] When the first distance is less than a first preset distance threshold, the real-time location and historical location data of the mobile smart device are combined, and a machine learning algorithm and data analysis technology are used to predict the movement trajectory of the vehicle user.

[0057] Step 140: judging whether the vehicle user has a driving demand based on the movement trajectory and vehicle position of the vehicle user;

[0058] In a specific implementation, based on the movement trajectory and vehicle position of the vehicle user, a trajectory point in the movement trajectory closest to the vehicle position is determined, and the trajectory point is used to determine whether the vehicle user has a driving demand.

[0059] Further, step 140 includes:

[0060] Step 210: determining a target distance between a target trajectory point and a vehicle position, wherein the target trajectory point is a trajectory point in the motion trajectory that is closest to the vehicle position;

[0061] Step 220, determining the target time for the vehicle user to reach the vehicle location from the target trajectory point;

[0062] Step 230: When the target distance is less than a second preset distance threshold, and / or the target duration is less than a preset duration threshold, it is determined that the vehicle user has a driving demand; otherwise, it is determined that the vehicle user has no driving demand.

[0063] The second preset distance threshold and the preset time threshold are set according to the vehicle position and the daily behavior of the vehicle user, and can also be flexibly set according to actual needs, which is not specifically limited in this application. The second preset distance threshold represents the degree of proximity between the vehicle user and the vehicle, and the preset time threshold represents the time required for the vehicle user to reach the vehicle.

[0064] In specific implementation, the target distance between the target trajectory point and the vehicle position is calculated using the Euler formula; the target time for the vehicle user to reach the vehicle position from the target trajectory point is determined by the user's moving speed; then, in the following cases, it is determined that the vehicle user has a driving demand, otherwise it is determined that the vehicle user does not have a driving demand. When the target distance is less than the second preset distance threshold, it is determined that the vehicle user has a driving demand; when the target time is less than the preset time threshold, it is determined that the vehicle user has a driving demand; when the target distance is less than the second preset distance threshold, and the target time is less than the preset time threshold, it is determined that the vehicle user has a driving demand.

[0065] In this embodiment, by determining the target distance between the target trajectory point and the vehicle position, the target trajectory point is the trajectory point in the motion trajectory that is closest to the vehicle position; determining the target time for the vehicle user to reach the vehicle position from the target trajectory point; further, when the target distance is less than a second preset distance threshold, and / or the target time is less than a preset time threshold, it is judged that the vehicle user has a driving demand, otherwise it is judged that the vehicle user has no driving demand. This embodiment provides a method for judging whether the vehicle user has a driving demand, so as to determine whether to heat the door handle based on this judgment result.

[0066] Step 150: When it is determined that the vehicle user has a driving demand, the door handle heating module is controlled to heat the door handle to a preset temperature.

[0067] Furthermore, when it is determined that the vehicle user has a need to drive, the door handle heating module is automatically turned on, and the door handle heating module is controlled to heat the door handle to a preset temperature.

[0068] In this embodiment, the real-time location of the vehicle user's mobile smart device is determined; based on the real-time location and the vehicle location, a first distance between the mobile smart device and the vehicle is determined; when the first distance is less than a first preset distance threshold, the movement trajectory of the vehicle user is predicted in combination with the real-time location and the historical location data of the mobile smart device; based on the movement trajectory and the vehicle location of the vehicle user, it is judged whether the vehicle user has a need to drive; when it is judged that the vehicle user has a need to drive, the door handle heating module is controlled to heat the door handle to a preset temperature, which solves the problem in the related art that in extremely low temperature weather conditions, the vehicle user needs to manually reserve the door handle heating in advance through the application of the mobile smart terminal. Once the user forgets to reserve the door handle, he will find that the door handle is frozen when using the car, which will cause user complaints and a low level of intelligence. It realizes automatic judgment of whether the vehicle user has a need to drive, and when there is a need to drive, the door handle is heated in advance, thereby improving the intelligence level of the vehicle.

[0069] Furthermore, in one embodiment, determining the real-time location of the vehicle user's mobile smart device includes:

[0070] Step 310: determine whether there is a target Bluetooth signal around the vehicle, where the target Bluetooth signal is a Bluetooth signal of a mobile smart device paired with the vehicle-mounted Bluetooth;

[0071] It can be understood that the mobile smart device paired with the vehicle-mounted Bluetooth is the mobile smart device of the vehicle user.

[0072] During specific implementation, the vehicle's built-in Bluetooth receiver continuously scans to determine whether there is a target Bluetooth signal around the vehicle.

[0073] Step 320: When there is a target Bluetooth signal, determine the signal strength of the target Bluetooth signal;

[0074] When there is a target Bluetooth signal, the signal strength of the target Bluetooth signal can be determined by a ranging algorithm.

[0075] Step 330: Determine the real-time location of the vehicle user's mobile smart device based on the signal strength of the target Bluetooth signal and the vehicle location.

[0076] In a specific implementation, based on the signal strength of the target Bluetooth signal and the vehicle position, a triangulation positioning or fingerprint positioning method is used to determine the real-time position of the vehicle user's mobile smart device.

[0077] In this embodiment, the real-time location of the mobile smart device of the vehicle user is determined by Bluetooth, and the cost and power consumption are relatively low.

[0078] Furthermore, in one embodiment, determining the real-time location of the vehicle user's mobile smart device includes:

[0079] Determine the real-time location of the vehicle user's mobile smart device from the high-precision map server.

[0080] It can be understood that the vehicle user's mobile smart device regularly sends its real-time location request to the high-precision map server. After receiving the request, the high-precision map server provides the vehicle user's mobile smart device with high-precision location information based on multiple sources of information such as GPS signals, base station positioning, and Wi-Fi.

[0081] During specific implementation, the vehicle establishes communication with the high-precision map server through the on-board unit, and determines the real-time location of the vehicle user's mobile smart device from the high-precision map server.

[0082] In this embodiment, another method of determining the real-time location of the vehicle user's mobile smart device is provided, which can improve the efficiency and accuracy of determining the real-time location of the vehicle user's mobile smart device from a high-precision map server.

[0083] Furthermore, in one embodiment, the combining of the real-time location and the historical location data of the mobile smart device to predict the movement trajectory of the vehicle user includes:

[0084] Step 410: preprocess the historical location data of the mobile smart device to obtain preprocessed historical location data;

[0085] In specific implementation, outliers in the historical location data of the mobile smart device are removed, and then preprocessing such as cleaning and denoising is performed to obtain the preprocessed historical location data.

[0086] Step 420: extracting features from the preprocessed historical location data to obtain movement features of the vehicle user;

[0087] Furthermore, movement features, such as movement speed and movement direction of the vehicle user, are extracted from the pre-processed historical location data.

[0088] Step 430: predict the movement trajectory of the vehicle user based on the real-time position and the movement characteristics.

[0089] Based on the real-time position and the movement characteristics, a machine learning algorithm and data analysis technology are used to predict the movement trajectory of the vehicle user.

[0090] In this embodiment, the historical location data of the mobile smart device is preprocessed to obtain preprocessed historical location data; feature extraction is performed on the preprocessed historical location data to obtain the movement characteristics of the vehicle user; based on the real-time location and the movement characteristics, the movement trajectory of the vehicle user is predicted to prepare for determining whether the vehicle user has a need to drive.

[0091] Furthermore, in one embodiment, the predicting the movement trajectory of the vehicle user based on the real-time position and the movement characteristics includes:

[0092] The real-time position and the movement characteristics are input into a pre-built trajectory prediction model, and the movement trajectory of the vehicle user is output, wherein the trajectory prediction model is built based on a machine learning algorithm.

[0093] Among them, machine learning algorithms include but are not limited to hidden Markov models, recurrent neural networks, and long short-term memory networks.

[0094] The trajectory prediction model is used to predict the movement trajectory of the vehicle user. Its input is the real-time location of the vehicle user's mobile smart device and the vehicle user's movement characteristics, and the output is the vehicle user's movement trajectory. The movement trajectory consists of several trajectory points, and each trajectory point corresponds to a set of data, including coordinate data and time data.

[0095] In order to improve the accuracy of the trajectory prediction model, the location data of vehicle users can be collected regularly and the trajectory prediction model can be continuously updated and optimized.

[0096] In this embodiment, the real-time position and the movement characteristics are input into a pre-built trajectory prediction model to output the movement trajectory of the vehicle user, wherein the trajectory prediction model is built based on a machine learning algorithm. The trajectory prediction model is used to predict the movement trajectory of the vehicle user with high prediction accuracy.

[0097] Furthermore, in one embodiment, controlling the door handle heating module to heat the door handle to a preset temperature includes:

[0098] Step 510: obtaining the current ambient temperature;

[0099] In specific implementation, there are many ways to obtain the current ambient temperature outside the vehicle. For example, the current ambient temperature outside the vehicle can be obtained by a temperature sensor arranged outside the vehicle; or by receiving a weather forecast signal sent by a cabin domain controller, where the weather forecast signal includes a weather forecast temperature, which is used as the current ambient temperature outside the vehicle.

[0100] Step 520, determining the heating power of the door handle heating module corresponding to the current ambient temperature;

[0101] Step 530: Control the door handle heating module to heat the door handle to a preset temperature according to the heating power.

[0102] A number of ambient temperature value intervals are pre-constructed, and each ambient temperature value interval corresponds to the heating power of a door handle heating module.

[0103] After the current ambient temperature is acquired, the target value interval to which the current ambient temperature belongs is determined from the ambient temperature value interval, and then the heating power of the door handle heating module corresponding to the target value interval is used as the heating power of the door handle heating module corresponding to the current ambient temperature. Then, the door handle heating module is controlled to heat the door handle to a preset temperature according to the heating power.

[0104] In this embodiment, by obtaining the current ambient temperature; further determining the heating power of the door handle heating module corresponding to the current ambient temperature; and then controlling the door handle heating module to heat the door handle to a preset temperature according to the heating power, the heating power of the door handle heating module can be intelligently adjusted according to the current ambient temperature to avoid unnecessary energy consumption.

[0105] In a second aspect, an embodiment of the present application also provides a door handle heating device.

[0106] In one embodiment, referring to Figure 2 , Figure 2 This is a functional module diagram of an embodiment of the door handle heating device of the present application. Figure 2 As shown, the door handle heating device 200 includes:

[0107] A first determination module 201, which is used to determine the real-time location of the vehicle user's mobile smart device;

[0108] A second determination module 202, which is used to determine a first distance between the mobile smart device and the vehicle based on the real-time position and the vehicle position;

[0109] A prediction module 203, which is used to predict the movement trajectory of the vehicle user by combining the real-time position and the historical position data of the mobile smart device when the first distance is less than a first preset distance threshold;

[0110] A determination module 204, which is used to determine whether the vehicle user has a driving demand based on the movement trajectory and vehicle position of the vehicle user;

[0111] The control module 205 is used to control the door handle heating module to heat the door handle to a preset temperature when it is determined that the vehicle user has a driving demand.

[0112] Further, in one embodiment, the first determining module is specifically configured to:

[0113] Determine whether there is a target Bluetooth signal around the vehicle, where the target Bluetooth signal is a Bluetooth signal of a mobile smart device paired with the vehicle-mounted Bluetooth;

[0114] When a target Bluetooth signal exists, determining a signal strength of the target Bluetooth signal;

[0115] Based on the signal strength of the target Bluetooth signal and the vehicle location, the real-time location of the vehicle user's mobile smart device is determined.

[0116] Further, in one embodiment, the first determining module is specifically configured to:

[0117] Determine the real-time location of the vehicle user's mobile smart device from the high-precision map server.

[0118] Furthermore, in one embodiment, the prediction module is specifically used for:

[0119] Preprocessing the historical location data of the mobile smart device to obtain preprocessed historical location data;

[0120] Performing feature extraction on the preprocessed historical location data to obtain movement features of the vehicle user;

[0121] Based on the real-time position and the movement characteristics, a movement trajectory of the vehicle user is predicted.

[0122] Furthermore, in one embodiment, the prediction module is specifically used for:

[0123] The real-time position and the movement characteristics are input into a pre-built trajectory prediction model, and the movement trajectory of the vehicle user is output, wherein the trajectory prediction model is built based on a machine learning algorithm.

[0124] Furthermore, in one embodiment, the judgment module is specifically used for:

[0125] Determine a target distance between a target trajectory point and a vehicle position, wherein the target trajectory point is a trajectory point in the motion trajectory that is closest to the vehicle position;

[0126] Determine the target time for the vehicle user to reach the vehicle location from the target trajectory point;

[0127] When the target distance is less than a second preset distance threshold, and / or the target duration is less than a preset duration threshold, it is determined that the vehicle user has a driving demand, otherwise it is determined that the vehicle user has no driving demand.

[0128] Furthermore, in one embodiment, the control module is specifically used for:

[0129] Get the current ambient temperature;

[0130] Determine the heating power of the door handle heating module corresponding to the current ambient temperature;

[0131] The door handle heating module is controlled to heat the door handle to a preset temperature according to the heating power.

[0132] Among them, the functional implementation of each module in the above-mentioned door handle heating device corresponds to the various steps in the above-mentioned door handle heating method embodiment, and its functions and implementation processes will not be repeated here one by one.

[0133] In a third aspect, an embodiment of the present application provides a door handle heating device, which may be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0134] Reference Figure 3 , Figure 3 Schematic diagram of the hardware structure of the vehicle door handle heating device involved in the embodiment of the present application. In the embodiment of the present application, the vehicle door handle heating device may include a processor, a memory, a communication interface and a communication bus.

[0135] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0136] The communication interface includes an input / output (I / O) interface, a physical interface, and a logical interface, etc., which are used to interconnect the components inside the door handle heating device, and an interface used to interconnect the door handle heating device with other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, an optical fiber interface, an ATM interface, etc.; the user device can be a display, a keyboard, etc.

[0137] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0138] The processor may be a general-purpose processor, which may call the door handle heating program stored in the memory and execute the door handle heating method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the door handle heating program is called may refer to the various embodiments of the door handle heating method of the present application, which will not be described in detail here.

[0139] Those skilled in the art will understand that Figure 3 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0140] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0141] A door handle heating program is stored on the computer-readable storage medium of the present application, wherein when the door handle heating program is executed by a processor, the steps of the door handle heating method as described above are implemented.

[0142] Among them, the method implemented when the door handle heating program is executed can refer to the various embodiments of the door handle heating method of the present application, and will not be repeated here.

[0143] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0144] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0145] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.

[0146] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0147] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0148] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.

[0149] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for heating a vehicle door handle, characterized in that: The door handle heating method comprises: Determine the real-time location of a vehicle user's mobile smart device; Based on the real-time position and the vehicle position, determining a first distance between the mobile smart device and the vehicle; When the first distance is less than a first preset distance threshold, combining the real-time location and historical location data of the mobile smart device to predict a movement trajectory of the vehicle user; Based on the movement trajectory and vehicle position of the vehicle user, determining whether the vehicle user has a driving demand; When it is determined that the vehicle user has a driving demand, the door handle heating module is controlled to heat the door handle to a preset temperature.

2. The vehicle door handle heating method according to claim 1, characterized in that: Determining the real-time location of the vehicle user's mobile smart device includes: Determine whether there is a target Bluetooth signal around the vehicle, where the target Bluetooth signal is a Bluetooth signal of a mobile smart device paired with the vehicle-mounted Bluetooth; When a target Bluetooth signal exists, determining a signal strength of the target Bluetooth signal; Based on the signal strength of the target Bluetooth signal and the vehicle location, the real-time location of the vehicle user's mobile smart device is determined.

3. The vehicle door handle heating method according to claim 1, characterized in that: Determining the real-time location of the vehicle user's mobile smart device includes: Determine the real-time location of the vehicle user's mobile smart device from the high-precision map server.

4. The vehicle door handle heating method according to claim 1, characterized in that: The combining of the real-time location and the historical location data of the mobile smart device to predict the movement trajectory of the vehicle user includes: Preprocessing the historical location data of the mobile smart device to obtain preprocessed historical location data; Performing feature extraction on the preprocessed historical location data to obtain movement features of the vehicle user; Based on the real-time position and the movement characteristics, a movement trajectory of the vehicle user is predicted.

5. The vehicle door handle heating method according to claim 4, characterized in that: The predicting the movement trajectory of the vehicle user based on the real-time position and the movement characteristics includes: The real-time position and the movement characteristics are input into a pre-built trajectory prediction model, and the movement trajectory of the vehicle user is output, wherein the trajectory prediction model is built based on a machine learning algorithm.

6. The vehicle door handle heating method according to claim 1, characterized in that: The determining whether the vehicle user has a driving demand based on the movement trajectory and vehicle position of the vehicle user includes: Determine a target distance between a target trajectory point and a vehicle position, wherein the target trajectory point is a trajectory point in the motion trajectory that is closest to the vehicle position; Determine the target time for the vehicle user to reach the vehicle location from the target trajectory point; When the target distance is less than a second preset distance threshold, and / or the target duration is less than a preset duration threshold, it is determined that the vehicle user has a driving demand, otherwise it is determined that the vehicle user has no driving demand.

7. The vehicle door handle heating method according to claim 1, characterized in that: The controlling the door handle heating module to heat the door handle to a preset temperature includes: Get the current ambient temperature; Determine the heating power of the door handle heating module corresponding to the current ambient temperature; The door handle heating module is controlled to heat the door handle to a preset temperature according to the heating power.

8. A door handle heating device, characterized in that: The door handle heating device comprises: A first determination module, which is used to determine the real-time location of the vehicle user's mobile smart device; A second determination module, which is used to determine a first distance between the mobile smart device and the vehicle based on the real-time position and the vehicle position; a prediction module, configured to predict a movement trajectory of the vehicle user by combining the real-time location and historical location data of the mobile smart device when the first distance is less than a first preset distance threshold; A judgment module, which is used to judge whether the vehicle user has a driving demand based on the movement trajectory and vehicle position of the vehicle user; The control module is used to control the door handle heating module to heat the door handle to a preset temperature when it is determined that the vehicle user has a driving demand.

9. A door handle heating device, characterized in that: The door handle heating device includes a processor, a memory, and a door handle heating program stored in the memory and executable by the processor, wherein when the door handle heating program is executed by the processor, the steps of the door handle heating method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a door handle heating program, wherein when the door handle heating program is executed by a processor, the steps of the door handle heating method according to any one of claims 1 to 7 are implemented.

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