A method, system, medium, and device for adjusting an automobile seat

Abstract

The present disclosure provides a car seat adjustment method, system, medium and device, relating to the technical field of car intelligent adjustment, comprising an IMS, an infrared scanner, a vehicle controller VCU, a cloud database and a seat control unit; the IMS transmits the face data information of the passenger to the cloud database, automatically matches whether there is historical car seat adjustment position data information of the passenger, if there is, calls the historical seat adjustment position data information of the passenger and sends it to the vehicle controller VCU, generates corresponding seat adjustment instructions, and then the vehicle controller VCU sends the instructions to the seat control unit through the CAN bus, and the seat control unit executes the instructions to complete the adjustment of the car seat. The present disclosure reduces the tediousness of repeated adjustment of the car seat during the boarding preparation stage.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of automobile intelligent adjustment, in particular to an automobile seat adjustment method, system, medium and equipment. BACKGROUND

[0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute the prior art.

[0003] Most of the time, the automobile seat is only needed for commuting. The automobile seat on the market is feasible as long as it has a relatively full wrapping property. However, most of the automobile seats on the market only support manual or semi-automatic adjustment. The driver or the co-driver has to adjust the automobile seat at the first time of getting on the car. It is often necessary to repeatedly adjust the automobile seat to find a comfortable posture. The sitting posture of some passengers during driving is different from that when getting on the car. The body size and needs of some passengers are different, which leads to the feeling of discomfort during driving. However, adjusting the automobile seat while driving has a great risk and also brings certain safety hazards to the product. SUMMARY

[0004] In order to solve the above problems, the present disclosure provides an automobile seat adjustment method, system, medium and equipment. The comfortable position of the driver's seat and the co-driver's seat is adaptively adjusted according to the body size and needs of different passengers. The cloud big data learning function is configured to record and learn in real time, and to automatically adjust the automobile seat.

[0005] According to some embodiments, the present disclosure adopts the following technical solutions:

[0006] An automobile seat adjustment system includes an IMS, an infrared scanner, a vehicle controller VCU, a cloud database and a seat control unit.

[0007] The IMS transmits the face data information of the passenger to the cloud database, automatically matches whether there is historical automobile seat adjustment position data information of the passenger, if there is, calls the historical seat adjustment position data information of the passenger and sends it to the vehicle controller VCU, generates corresponding seat adjustment instructions, and then the vehicle controller VCU sends the instructions to the seat control unit through the CAN bus, and the seat control unit executes the instructions to complete the adjustment of the automobile seat.

[0008] According to some embodiments, the present disclosure adopts the following technical solutions:

[0009] An adjustment method of an automobile seat adjustment system includes:

[0010] The vehicle is powered on, and the IMS detects the facial information of the driver seat and the front passenger seat passengers according to the FACE ID and the physical detection; the body position information of the driver seat or the front passenger seat passenger is scanned and detected, a signal is sent to the TBOX through the CAN bus, and the TBOX sends the signal to the cloud database;

[0011] The cloud database performs intelligent identification, automatically matches the FACE ID into the database of the driver seat or the front passenger seat passenger through the FACE ID, and enters the conditional logic; if the FACE ID information uploaded to the cloud by the TBOX at this time cannot be identified, there is no database of the driver seat or the front passenger seat passenger FACE ID in the current database, a database belonging to the driver seat or the front passenger seat passenger is immediately established, and the first automatic seat adjustment function for the passenger is started.

[0012] Further, if the FACE ID information uploaded to the cloud by the TBOX at this time can be identified and matched into the corresponding database, there is a driver database of the FACE ID in the current database, the system will enter the conditional logic according to whether the passenger has adjusted the seat by himself within a specific period, export the seat data information matching the driver seat or the front passenger seat passenger, obtain the seat position parameter, and send it to the vehicle controller VCU, the vehicle controller VCU sends a command to the seat control unit, and the seat control unit completes the seat position adjustment.

[0013] According to some embodiments, the present disclosure adopts the technical scheme as follows:

[0014] A non-transitory computer readable storage medium for storing computer instructions, the computer instructions being executed by a processor to implement the adjustment method of the automobile seat adjustment system.

[0015] According to some embodiments, the present disclosure adopts the technical scheme as follows:

[0016] An electronic device comprising a processor, a memory and a computer program; wherein the processor is connected with the memory, and the computer program is stored in the memory; when the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes the adjustment method of the automobile seat adjustment system.

[0017] Compared with the prior art, the present disclosure has the beneficial effects that:

[0018] The present disclosure provides a method for intelligently adjusting a car seat, which can automatically adjust the driver's seat and the front passenger's seat to a comfortable position according to different passenger body types and needs, configure a cloud database for storage and learning, and record and learn in real time to meet the sitting position needs of different passengers. When the driver's seat or the front passenger's seat is detected to be occupied, the car seat is automatically adjusted, which is convenient and fast, improves the grade and comfort of the vehicle, and increases the happiness index of the passengers.

[0019] The method can save the facial information of different drivers or front passengers identified by the IMS intelligent detection system, automatically match the historical car seat adjustment position data information of the passenger in the cloud database, and then send a signal to the vehicle controller VCU. The VCU sends instructions to the car seat control unit through the CAN line, and the car seat control unit executes and completes the adjustment of the car seat, and saves the driving information into the database.

[0020] The vehicle also carries an infrared scanner for detecting the body position of the driver or the front passenger. When the passenger first gets on the vehicle, the passenger's body position, such as the distance between the knees and the front compartment, can be detected by scanning, and then the distance is automatically adjusted to the best distance according to ergonomics. During this period, the passenger is allowed to adjust himself, and at the same time, the seat adjustment information of the passenger is recorded and saved for the next use. This method improves the driving or riding experience of the driver or passenger, reduces the complexity of repeated adjustment of the car seat during the preparation stage of getting on the vehicle, and improves the customer experience and market competitiveness of the vehicle. BRIEF DESCRIPTION OF DRAWINGS

[0021] The accompanying drawings, which form a part of this disclosure, are included to provide a further understanding of the disclosure, the illustrative embodiments of the disclosure, and explanations of the disclosure intended to provide an appropriate basis for comprehending the disclosure

[0022] Figure 1 Method control logic flow chart for embodiments of the present disclosure;

[0023] Figure 2 Data signal communication interaction schematic diagram for embodiments of the present disclosure DETAILED DESCRIPTION

[0024] The present disclosure will be further described below in conjunction with the drawings and embodiments.

[0025] It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as generally understood by those skilled in the art to which the present disclosure belongs.

[0026] It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and / or "comprising," when used in this specification, specify the presence of stated features, steps, operations, devices, components and / or combinations thereof, but do not preclude the presence or addition of one or more other features, steps, operations, devices, components, and / or combinations thereof.

[0027] Embodiment 1

[0028] In one embodiment of the present disclosure, an automobile seat adjustment system is provided, comprising an IMS, an infrared scanner, a vehicle controller VCU, a cloud database and a seat control unit.

[0029] The IMS transmits the passenger's facial data information to the cloud database, automatically matches whether there is historical automobile seat adjustment position data information of the passenger, if there is, retrieves the historical seat adjustment position data information of the passenger and sends it to the vehicle controller VCU, generates corresponding seat adjustment instructions, and then the vehicle controller VCU sends the instructions to the seat control unit through the CAN bus, and the seat control unit executes the instructions to complete the adjustment of the automobile seat.

[0030] The IMS and the infrared scanner are connected with the cloud database and the vehicle controller VCU.

[0031] The IMS recognizes the facial information of the driver and the front passenger according to the FACE ID and the physical sign detection, and the infrared scanner can scan and detect the body position information of the driver or the front passenger, and send the signal to the TBOX through the CAN bus, and the TBOX sends the signal to the cloud database.

[0032] As an embodiment, it further comprises a telematics box TBOX, the IMS can recognize the facial information of the driver and the front passenger according to the FACE ID and the physical sign detection, and the infrared scanner can scan and detect the body position information of the driver or the front passenger, and send the signal to the TBOX through the CAN bus, and the TBOX sends the signal to the cloud database.

[0033] The task of the cloud database is to record the historical seat adjustment information of each driver or front passenger in real time, and different databases can be automatically established according to the FACE ID of different passengers for storing the seat adjustment position information of specific FACE ID, and finally send instructions to the seat control unit through the VCU, and the seat control unit adjusts the seat position.

[0034] As one embodiment, an automotive seat adjustment system includes a vehicle control unit (VCU), a telematics box (TBOX), an in-cabin monitoring system (IMS), and a seat control unit, specifically performing the following:

[0035] Step 1: When the vehicle is powered on, the IMS identifies the facial information of the driver and front passenger based on FACE ID and vital sign detection; the infrared scanner can scan and detect the body position information of the driver or front passenger, and send the signal to the TBOX via the CAN bus. The TBOX then sends the signal to the cloud database.

[0036] Step 2: The information of the driver or front passenger is sent to the cloud database for intelligent identification. The driver or front passenger is automatically matched and entered into the cloud database through FACEID, and then the conditional logic is entered.

[0037] Step 3: Determine if it can be recognized. If the FACE ID information uploaded to the cloud by TBOX cannot be recognized at this time, then there is no database of the FACE ID of the driver or front passenger in the current cloud database. Then, a database belonging to the driver or front passenger will be created immediately.

[0038] If the FACE ID information uploaded to the cloud by TBOX can be recognized and matched into the corresponding database at this time, then the current database contains the driving database for that FACE ID;

[0039] Step 4: The system enters "learning mode". At this time, the system will determine whether the passenger has adjusted the seat by himself within a specific period and enter conditional logic.

[0040] The learning mode is started when it is identified that the current FACE ID does not have the FACE ID information in the database, and then the learning mode is entered. At this time, there are two ways to adjust the seat. The first is that the passenger manually adjusts the seat, at which time the database of the FACE ID is newly created, and the data of the seat adjustment this time is saved, so as to be identified and used next time. The second is that after a certain period of time, the passenger does not adjust, and then the infrared scanner in the front cabin works to scan the distance from the passenger's knees to the front cabin. The data information of the human body provided program stored in the database is read, a position information data is obtained by table lookup, and finally the seat is automatically adjusted according to the value. (Under general human engineering conditions, the comfortable distance of the passenger is two fists away from the front cabin, that is, 20 cm.) The adjustment priority of the passenger is greater than that of the seat automatic adjustment. If the passenger manually adjusts the information, the seat automatic adjustment function is exited, the passenger manually adjusts the seat, and the adjustment information of the FACE ID is recorded and uploaded to the database for use when the FACE ID is identified next time.

[0041] Step 5: If the passenger of the driver's seat or the front passenger seat does not adjust the seat, the first seat adjustment function for the passenger is started. At this time, the system detects the current body position information of the passenger, such as the position information of the knees from the front cabin, through the infrared scanner arranged in the front cabin. The human engineering data is referred to in advance, a signal is sent to the TBOX through the wireless network, the TBOX sends the data to the VCU, the VCU sends the signal to the seat control unit through the CAN bus, the seat control unit finally receives the adjustment data, and the seat position adjustment is completed. The passenger is allowed to adjust the seat position information multiple times throughout the process, and the information is recorded and uploaded in real time to enrich the database information.

[0042] If the passenger has adjusted the seat position information by himself, that is, there is no need for automatic intelligent adjustment, the position information of the passenger's self-adjusted seat this time is recorded, and the data this time is uploaded to the cloud data information belonging to the passenger through the TBOX to continuously enrich the database information.

[0043] Step 6: If the FACE ID is automatically matched to enter the database of the passenger of the driver's seat or the front passenger seat, the seat database information of the driver or the front passenger is exported and matched to obtain the seat position parameter, and a wireless signal is sent to the TBOX to make the VCU send a command to the seat control unit, and the seat control unit completes the adjustment of the seat position information.

[0044] The whole process allows the passenger of the driver's seat or the front passenger seat to adjust the seat position by himself and record and save in real time to continuously improve and enrich the database information and increase the accuracy of big data.

[0045] Step 7: The energy recovery automatic adjustment is completed.

[0046] Example 2

[0047] An adjusting method of an automobile seat adjusting system is provided in one embodiment of the present disclosure, comprising:

[0048] The automobile seat intelligent adjusting system comprises a vehicle control unit (VCU), a telematics box (TBOX), an in-cabin monitoring system (IMS), and a seat control unit.

[0049] Step 1: The vehicle is powered on, and the IMS identifies the facial information of the driver seat and the front passenger seat passengers according to the FACE ID and the physical sign detection. The infrared scanner can scan and detect the body position information of the driver or the front passenger, and send the signal to the TBOX through the CAN bus. The TBOX sends the signal to the cloud database.

[0050] Step 2: The driver seat or front passenger seat passenger information is sent to the cloud database for intelligent identification. The FACE ID is automatically matched to enter the cloud database of the driver seat or front passenger seat passenger, and enters the conditional logic.

[0051] Step 3: It is judged whether it can be identified. If the FACE ID information uploaded to the cloud by the TBOX at this time cannot be identified, there is no database of the driver seat or front passenger seat passenger FACE ID in the current cloud database, then the database belonging to the driver or the front passenger is immediately established.

[0052] If the FACE ID information uploaded to the cloud by the TBOX at this time can be identified and matched into the corresponding database, there is a driver database of the FACE ID in the current database.

[0053] Step 4: The system enters the "learning mode". At this time, the system will determine whether the passenger has adjusted the seat according to the specific period, and enters the conditional logic.

[0054] Step 5: If the driver seat or front passenger seat passenger does not adjust the seat, the first seat adjusting function for the passenger is started. At this time, the system will detect the current body position information of the passenger, such as the position information of the knees from the front cabin, through the infrared scanner arranged in the front cabin. By referring to the ergonomics data imported in advance, the signal is sent to the TBOX through the wireless network, the TBOX sends the data to the VCU, the VCU sends the signal to the seat control unit through the CAN bus, and finally the seat control unit receives the adjustment data to complete the seat position adjustment. The passenger is allowed to adjust the seat position information multiple times throughout the process, and the information is recorded and uploaded in real time to enrich the database information.

[0055] If the passenger has adjusted the seat position information by himself, i.e. no need for automatic intelligent adjustment, record the position information of this passenger seat self-adjustment, upload this data into the cloud data information belonging to this passenger through TBOX, and constantly enrich the database information;

[0056] Step 6: If the FACE ID has been matched into the database of the driver seat or front passenger seat passenger, the seat database information of the driver or front passenger is exported and matched, the seat position parameters are obtained, and the VCU is sent through wireless signal to the TBOX, so that the VCU sends a command to the seat control unit, and the seat control unit completes the seat position information adjustment.

[0057] The whole process allows the driver seat or front passenger seat passenger to adjust the seat position by himself and record and save in real time, constantly improves and enriches the database information, and increases the accuracy of big data;

[0058] Step 7: The energy recovery automatic adjustment is completed.

[0059] Embodiment 3

[0060] In one embodiment of the present disclosure, a non-transitory computer readable storage medium is provided for storing computer instructions, which, when executed by a processor, implement the adjustment method of the automobile seat adjustment system.

[0061] Embodiment 4

[0062] An electronic device, comprising: a processor, a memory and a computer program; wherein the processor is connected with the memory, and the computer program is stored in the memory; when the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes the adjustment method of the automobile seat adjustment system.

[0063] The present disclosure is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present disclosure. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The device for performing the functions specified in one flow or multiple flows and / or blocks. Figure 1 The device for performing the functions specified in one flow or multiple flows and / or blocks.

[0064] These computer program instructions can also be loaded into a computer or other programmable data processing devices, so that a series of operational steps are performed on the computer or other programmable data processing devices to generate a computer implemented process, so that the instructions executed on the computer or other programmable data processing devices provide a process for implementing the functions specified in the flowchart Figure 1 one flow or multiple flows and / or the functions specified in the block Figure 1 one flow or multiple flows and / or the functions specified in the block

[0065] The above describes the specific embodiments of the present disclosure in conjunction with the drawings, but is not a limitation on the protection scope of the present disclosure. Those skilled in the art should understand that various modifications or changes made by those skilled in the art on the basis of the technical solutions of the present disclosure without creative labor are still within the protection scope of the present disclosure.

Claims

1. An automotive seat adjustment system, characterized by, The system comprises an IMS, an infrared scanner, a vehicle controller VCU, a cloud database and a seat control unit; the IMS identifies the facial data information of the driver and the passenger according to the FACE ID and the physical detection; The IMS transmits the facial data information of the passenger to the cloud database, automatically matches whether there is historical automobile seat adjustment position data information of the passenger, if there is, calls the historical seat adjustment position data information of the passenger and sends it to the vehicle controller VCU, generates corresponding seat adjustment instructions, and then the vehicle controller VCU sends the instructions to the seat control unit through the CAN bus, and the seat control unit executes the instructions to complete the adjustment of the automobile seat; If there is no historical automobile seat adjustment position data information of the passenger in the cloud database, the infrared scanner and the IMS are used to detect the body position and the facial data information of the passenger, and then the distance is automatically adjusted to the best position, during which the passenger is allowed to adjust himself, and the facial data information and the seat adjustment position data information of the passenger are recorded and saved to the cloud database, thereby establishing a database belonging to the passenger; The specific steps of establishing a database belonging to the passenger are as follows: the FACE ID is used to automatically match the cloud database of the passenger in the driver's seat or the passenger in the front passenger seat, if the FACE ID information uploaded to the cloud database by the TBOX at this time cannot be identified, it is determined that there is no database of the FACE ID of the passenger in the driver's seat or the passenger in the front passenger seat in the current cloud database, then the learning mode is entered, and the seat is adjusted in two ways: first, the passenger manually adjusts the seat, at this time, a database of the FACE ID is newly established, and the data of the seat adjustment is saved; second, after a certain time set, the passenger does not adjust the seat, then the infrared scanner in the front cabin works to scan the distance from the knee of the passenger to the front cabin, reads the ergonomic data information stored in the database, looks up a position information data, and finally automatically adjusts the seat according to the data; the adjustment priority of the passenger is higher than that of the automatic seat adjustment, if the passenger's manual adjustment information is detected, the automatic seat adjustment function is exited, the adjustment information of the FACE ID is recorded, and the database is uploaded.

2. A vehicle seat adjustment system as claimed in claim 1, wherein, The IMS and the infrared scanner are connected with the cloud database and the vehicle controller VCU.

3. The automotive seat adjustment system of claim 1, wherein, The infrared scanner scans and detects the body position information of the passenger in the driver's seat and the passenger in the front passenger seat, sends the data to the TBOX through the CAN bus, and the TBOX sends the data to the cloud database for saving.

4. The automotive seat adjustment system of claim 1, wherein, In the cloud database, different databases are automatically established according to different FACE IDs of the passengers, which are used to store the seat adjustment position information of the specific FACE ID, and the vehicle controller VCU sends instructions to the seat control unit to adjust the seat position.

5. A method of adjusting an automotive seat adjustment system based on the automotive seat adjustment system of any one of claims 1-4, characterized in that, When the vehicle is powered on, the IMS identifies the facial information of the passenger in the driver's seat and the passenger in the front passenger seat according to the FACE ID and the physical detection; the infrared scanner scans and detects the body position information of the passenger in the driver's seat or the passenger in the front passenger seat, sends the signal to the TBOX through the CAN bus, and the TBOX sends the signal to the cloud database; The cloud database intelligently identifies and automatically matches the FACE ID into the database of the driver or front passenger through FACE ID, and enters the conditional logic. If the FACE ID information uploaded by the TBOX to the cloud at this time cannot be identified, there is no database of the driver or front passenger FACE ID in the current database, then a database belonging to the driver or front passenger is immediately established. And start the first automatic seat adjustment function for the passenger.

6. The adjustment method of an automobile seat adjustment system according to claim 5, wherein If the FACE ID information uploaded by the TBOX to the cloud at this time can be identified and matched into the corresponding database, there is a driver database of the FACE ID in the current database, the system will enter the conditional logic according to whether the passenger has adjusted the seat himself within a certain period, export the seat data information matching the driver or front passenger, obtain the seat position parameters, and send them to the vehicle controller VCU, the vehicle controller VCU sends a command to the seat control unit, and the seat control unit completes the seat position adjustment.

7. A non-transitory computer-readable storage medium, comprising: The non-transitory computer readable storage medium is used to store computer instructions, which are executed by the processor to implement the adjustment method of the automobile seat adjustment system according to any one of claims 5-6.

8. An electronic device, comprising: It comprises: A processor, a memory and a computer program; wherein the processor is connected with the memory, and the computer program is stored in the memory; when the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes the adjustment method of the automobile seat adjustment system according to any one of claims 5-6.

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