CN117742480A - Self-adaptive control method, system, storage medium and electronic equipment - Google Patents
Self-adaptive control method, system, storage medium and electronic equipment Download PDFInfo
- Publication number
- CN117742480A CN117742480A CN202211124974.1A CN202211124974A CN117742480A CN 117742480 A CN117742480 A CN 117742480A CN 202211124974 A CN202211124974 A CN 202211124974A CN 117742480 A CN117742480 A CN 117742480A
- Authority
- CN
- China
- Prior art keywords
- information
- driver
- cab
- equipment
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 54
- 230000003044 adaptive effect Effects 0.000 claims description 29
- 230000007613 environmental effect Effects 0.000 claims description 23
- 238000004590 computer program Methods 0.000 claims description 17
- 238000012544 monitoring process Methods 0.000 claims description 7
- 238000013459 approach Methods 0.000 claims description 6
- 230000001276 controlling effect Effects 0.000 claims description 5
- 230000001105 regulatory effect Effects 0.000 claims description 5
- 230000003750 conditioning effect Effects 0.000 claims description 2
- 238000011022 operating instruction Methods 0.000 claims description 2
- 238000004378 air conditioning Methods 0.000 description 10
- 238000004891 communication Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 9
- 230000003993 interaction Effects 0.000 description 8
- 230000008859 change Effects 0.000 description 6
- 230000005236 sound signal Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 238000005286 illumination Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000003190 augmentative effect Effects 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000009423 ventilation Methods 0.000 description 2
- KLDZYURQCUYZBL-UHFFFAOYSA-N 2-[3-[(2-hydroxyphenyl)methylideneamino]propyliminomethyl]phenol Chemical compound OC1=CC=CC=C1C=NCCCN=CC1=CC=CC=C1O KLDZYURQCUYZBL-UHFFFAOYSA-N 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 201000001098 delayed sleep phase syndrome Diseases 0.000 description 1
- 208000033921 delayed sleep phase type circadian rhythm sleep disease Diseases 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000004899 motility Effects 0.000 description 1
Landscapes
- Fittings On The Vehicle Exterior For Carrying Loads, And Devices For Holding Or Mounting Articles (AREA)
Abstract
The application discloses a self-adaptive control method, a self-adaptive control system, a storage medium and electronic equipment, wherein the self-adaptive control method comprises the following steps: acquiring biological characteristic information of a target driver; identifying the biological characteristic information of the target driver, and determining the identity information corresponding to the identified biological characteristic and the target adjusting parameter information aiming at each device in the cab from a personal characteristic database of the target driver, wherein the personal characteristic database comprises the biological characteristic information of the driver, the identity information and the corresponding relation of the adjusting parameter information corresponding to each device in the cab; and setting corresponding equipment in the cab based on the target regulation parameter information so as to control the working state of each equipment in the cab.
Description
Technical Field
The invention belongs to the technical field of rail transit, and particularly relates to a self-adaptive control method, a self-adaptive control system, a storage medium and electronic equipment.
Background
Along with the development of informatization and artificial intelligence, the man-machine interaction mode in the automotive field has presented diversified and intelligent characteristics, and besides traditional interactions such as touch control, keys, knobs and the like, voices, faces and gestures become necessary options for the interaction modes. However, the rail transit vehicle still mainly realizes man-machine information interaction through manually operating a switch button and observing a display screen, an instrument, an indicator lamp and the like, and the interaction mode is mechanical, single and low in intelligent degree.
At present, the environmental facility systems of the rail transit vehicle cab, such as seats, pedals, illumination, air conditioners and other supporting facilities are relatively mechanical and rigid, and cannot actively adapt to the demands of drivers.
Disclosure of Invention
In order to improve the human-computer interaction intelligent level and subjective motility of a rail transit vehicle cab, the application provides a self-adaptive control method, a self-adaptive control system, a storage medium and electronic equipment.
In a first aspect of the present application, there is provided an adaptive control method, including:
acquiring biological characteristic information of a target driver;
identifying the biological characteristic information of the target driver, and determining the identity information corresponding to the identified biological characteristic and the target adjusting parameter information aiming at each device in the cab from a personal characteristic database of the target driver, wherein the personal characteristic database comprises the biological characteristic information of the driver, the identity information and the corresponding relation of the adjusting parameter information corresponding to each device in the cab;
and setting corresponding equipment in the cab based on the target regulation parameter information so as to control the working state of each equipment in the cab.
In some embodiments, the devices within the cab include environmental-like devices for conditioning an interior environment of the cab;
the personal characteristic database comprises a proprietary characteristic database established based on each environment-type device, the proprietary characteristic database comprises a working mode database established based on preset environment condition information, and the working mode database comprises adjustment parameter information of the environment-type devices;
the method further comprises the steps of:
acquiring environmental information of the cab;
respectively matching a target working mode database from the exclusive characteristic databases corresponding to the environment equipment according to the environment information;
and setting the corresponding environment equipment based on the adjustment parameter information in the target working mode database so as to control the environment equipment to run in the corresponding working mode.
In some embodiments, the method further comprises:
monitoring control operation information of the target driver aiming at any device in the cab;
if the control operation information is monitored, then
Determining an operation instruction and operation equipment according to the control operation information;
determining corresponding equipment in the cab and adjusting parameter information of the corresponding equipment according to the operating instruction and the operating equipment;
and updating the adjusting parameter information of the corresponding equipment in the personal characteristic database of the target driver according to the determined adjusting parameter information of the corresponding equipment in the cab and the corresponding equipment.
In some embodiments, the devices within the cab further comprise a gesture-like device for adjusting the body gesture of the driver; the posture equipment comprises a seat and pedals, and the adjusting parameter information of the seat comprises the position of the seat and the angle of the chair back; the adjusting parameter information of the pedals comprises positions and angles of the pedals.
In some embodiments, in the case where the posture-like device includes a seat, in the step of monitoring the control operation information of the target for any device in the cab, if the control operation information for controlling the seat is not monitored, the method further includes:
collecting a sitting posture image of the target driver;
identifying the back and the chair back of the target driver in the sitting posture image, and analyzing whether the back and the chair back of the target driver are attached or not;
if the target driver is not attached, the sitting posture of the target driver is uncomfortable, then
Automatically adjusting the adjusting parameter information of the gesture type equipment to enable the chair back of the target driver to approach the back of the target driver;
collecting the adjusted sitting posture image of the target driver;
identifying the back and the chair back of the target driver in the regulated sitting posture image of the target driver, and analyzing whether the back and the chair back of the target driver are attached or not;
if the back of the target driver is attached to the chair back, the current sitting posture of the target driver is comfortable, and the adjusting parameter information of the corresponding posture equipment in the personal characteristic database of the target driver is updated according to the adjusted adjusting parameter information of the posture equipment.
In some embodiments, the control operation information includes voice control information and/or manual operation information.
In some embodiments, the environmental condition information includes season and/or temperature and/or light intensity.
In a second aspect of the present application, there is provided an adaptive control system comprising:
the database module is used for storing a personal characteristic database of the driver, wherein the personal characteristic database comprises biological characteristic information and identity information of the driver and corresponding relations of the driver to adjusting parameter information corresponding to each device in the cab;
the identification module is used for acquiring the biological characteristic information of the target driver, identifying the biological characteristic information of the target driver, and determining the identity information corresponding to the identified biological characteristic and the target regulation parameter information aiming at each device in the cab from the personal characteristic database of the target driver;
and the self-adaptive control module is used for setting corresponding equipment in the cab based on the target adjustment parameter information so as to control the working state of each equipment in the cab.
In a third aspect of the present application, there is provided a computer storage medium storing a computer program which, when executed by one or more processors, implements an adaptive control method as described above.
In a fourth aspect of the present application, there is provided an electronic device comprising a memory and one or more processors, said memory having stored thereon a computer program, said memory and said processors being communicatively coupled to each other, said computer program, when executed by said processors, performing an adaptive control method as described above.
Compared with the prior art, the technical scheme of the application has the following advantages or beneficial effects:
1. according to the technical scheme, the personal characteristic database of the driver is built according to the regulating parameter information of each device in the driver cab when the driver feels comfortable, so that the related personal characteristic database is called according to the identified identity information of the driver, each device in the driver cab is set according to the regulating parameter information of each device in the called personal characteristic database, the self-adaptive control of each device in the driver cab according to the identity of the driver is realized, and the driving comfort of the driver is improved.
2. The method comprises the steps of updating the adjustment parameter information in a personal characteristic database of a driver according to control operation information sent by the driver for controlling any device in the driver cab, analyzing the comfort of the driver according to sitting posture image information of the driver, and automatically adjusting the adjustment parameter information of posture type devices when the comfort of the driver is low according to analysis, until the comfort of the driver is high according to analysis from the sitting posture image information of the driver, and updating the adjustment parameter information of the adjusted posture type devices to the adjustment parameter information in the personal characteristic database of the driver, so that the vehicle can be automatically adjusted along with the change of comfort requirements of the driver.
3. According to the scheme provided by the technical scheme, the active intelligent interaction between the vehicle and the person is realized, and the intelligent level of the train is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings may be obtained according to the drawings provided without inventive effort to a person of ordinary skill in the art.
Fig. 1 is a flowchart of an adaptive control method according to a first embodiment of the present application;
fig. 2 is a flowchart of an adaptive control method according to a first embodiment of the present application;
fig. 3 is a flowchart of an adaptive control method according to a second embodiment of the present application;
fig. 4 is a block diagram of an adaptive control system according to a third embodiment of the present application;
fig. 5 is a connection block diagram of an electronic device provided in a fifth embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail with reference to the accompanying drawings, and the described embodiments should not be construed as limiting the present application, and all other embodiments obtained by those skilled in the art without making any inventive effort are within the scope of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict.
If a similar description of "first\second\third" appears in the application document, the following description is added, in which the terms "first\second\third" are merely distinguishing between similar objects and do not represent a particular ordering of the objects, it being understood that the "first\second\third" may be interchanged in a particular order or precedence, where allowed, so that the embodiments of the application described herein can be implemented in an order other than that illustrated or described herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the present application.
Example 1
The embodiment provides an adaptive control method, and fig. 1 is a flowchart of the adaptive control method provided in the embodiment, as shown in fig. 1, where the method in the embodiment includes:
step S110, acquiring biological characteristic information of a target driver;
and step S120, the biological characteristic information of the target driver is identified, and the identity information corresponding to the identified biological characteristic and the target regulation information aiming at each device in the cab are determined from the personal characteristic database of the target driver. The personal characteristic database comprises biological characteristic information, identity information and corresponding relation of adjusting parameter information corresponding to each device in the cab. The biological characteristic information comprises biological characteristic information such as faces, fingerprints and the like. The physiological characteristic information comprises physiological characteristic information such as height, weight and the like. The adjusting parameter information is the adjusting parameter corresponding to each device in the cab when the actually measured driver feels comfortable.
And step S130, setting corresponding equipment in the cab based on the target adjustment parameter information so as to control the working state of each equipment in the cab.
In this embodiment, the personal characteristic database of the driver is built according to the adjustment parameter information of each device in the cab when the driver feels comfortable, so that the related personal characteristic database is called according to the identified identity information of the driver, and each device in the cab is set according to the adjustment parameter information of each device in the called personal characteristic database, so as to realize the adaptive control of each device in the cab according to the identity of the driver, and thus improve the driving comfort of the driver.
In some embodiments, fig. 2 is a flowchart of an adaptive control method provided in this embodiment, as shown in fig. 2, where the method further includes:
step S141, monitoring control operation information of the target driver for any device in the cab. The control operation information is sent by the target driver and comprises language control information and/or manual operation information and the like.
If the control operation information is monitored, executing step S142;
step S142, determining an operation instruction and an operation device according to the control operation information;
step S143, determining corresponding equipment in the cab and adjusting parameter information of the corresponding equipment according to the operation instruction and the operation equipment;
and step S144, updating the adjusting parameter information of the corresponding equipment in the personal characteristic database of the target driver according to the determined adjusting parameter information of the corresponding equipment in the cab and the corresponding equipment.
In this embodiment, the adjustment parameter information in the personal characteristic database of the driver is updated according to the control operation information sent by the driver to control any device in the cab, so that the vehicle can automatically adjust along with the change of the demand of the driver to realize automatic intelligent growth.
Example two
The embodiment provides a self-adaptive control method, in which the personal characteristic database includes biological characteristic information and identity information of a driver and corresponding relation of adjusting parameter information corresponding to each device in the cab. The biological characteristic information comprises biological characteristic information such as faces, fingerprints and the like. The physiological characteristic information comprises physiological characteristic information such as height, weight and the like. The adjusting parameter information is the adjusting parameter corresponding to each device in the cab when the actually measured driver feels comfortable.
The equipment in the cab comprises environment equipment and gesture equipment, wherein the environment equipment is used for adjusting the internal environment of the cab and comprises air conditioning equipment, lighting equipment and the like; the gesture type equipment is used for adjusting the body gesture of a driver and comprises equipment such as a seat, pedals and the like.
The personal characteristic database also comprises a special characteristic database established based on each environment type device, namely, each environment type device corresponds to one special characteristic database. The exclusive feature database comprises a working mode database established based on preset environmental condition information, and the working mode database comprises adjustment parameter information of the environmental equipment. The environment-type devices include air conditioning devices, lighting devices, and the like. Taking air conditioning equipment as an example, taking preset environmental condition information as seasons, namely respectively setting the working modes of the air conditioning equipment according to four seasons of spring, summer, autumn and winter; the working modes comprise a refrigerating mode, a heating mode, a ventilation mode, and temperature, wind intensity and the like in each mode. If the environmental condition information is the environmental condition information and is in summer, the working mode of the air conditioning equipment is set to be a refrigeration mode, the temperature is 26 ℃, and the wind power strength is medium. Taking a lighting device as an example, the preset environmental condition information comprises two types of daytime and night, and the working mode of the lighting device is on and off, or the illumination intensity of the lighting device. The method of the embodiment comprises the following steps:
step S210, acquiring biological characteristic information of a target driver; and acquiring the environmental information of the cab, wherein the environmental information of the cab comprises seasons, time, temperature, light intensity and the like in the cab.
Step S220, the biological characteristic information of the target driver is identified, and identity information corresponding to the identified biological characteristic and target regulation information aiming at all devices in the cab are determined from a personal characteristic database of the target driver. And respectively matching the target working mode databases from the special feature databases corresponding to the environment equipment according to the environment information.
And step S230, setting corresponding equipment in the cab based on the target adjustment parameter information so as to control the working states of the equipment in the cab. And setting the corresponding environment type equipment based on the adjustment parameter information in the target working mode database so as to control the environment type equipment to run in the corresponding working mode.
In this embodiment, the personal characteristic database of the driver is built according to the adjustment parameter information of each device in the cab when the driver feels comfortable, so that the related personal characteristic database is called according to the identified identity information of the driver, and each device in the cab is set according to the adjustment parameter information of each device in the called personal characteristic database, so as to realize the adaptive control of each device in the cab according to the identity of the driver, and thus improve the driving comfort of the driver. In addition, the working mode database of each environment type device is adjusted according to the environment in the cab, and the environment type devices are set, so that the environment in the cab is suitable for the driver, and the driving comfort of the driver is improved.
In some embodiments, the method further comprises:
step S241, monitoring control operation information of the target driver for any device in the cab. The control operation information is sent by the target driver and comprises language control information and/or manual operation information and the like.
If the control operation information is monitored, executing step S242;
step S242, determining an operation instruction and an operation device according to the control operation information;
step S243, determining corresponding equipment in the cab and adjusting parameter information of the corresponding equipment according to the operation instruction and the operation equipment;
and step S244, updating the adjusting parameter information of the corresponding equipment in the personal characteristic database of the target driver according to the determined adjusting parameter information of the corresponding equipment in the cab and the corresponding equipment.
In this embodiment, the adjustment parameter information in the personal characteristic database of the driver is updated according to the control operation information sent by the driver to control any device in the cab, so that the vehicle can automatically adjust along with the change of the requirement of the driver.
In some embodiments, where the posture-like device includes a seat, the adjustment parameter information of the seat includes a position of the seat and an angle of a seatback, and the adjustment parameter information of the footrest includes a position and an angle of the footrest. Fig. 3 is a flowchart of an adaptive control method according to the present embodiment, as shown in fig. 3, in the step S241 "monitoring control operation information of the target driver for any device in the cab", if control operation information for controlling the seat is not monitored, the method further includes:
step S251, collecting a sitting posture image of the target driver;
step S252, the back and the chair back of the target driver in the sitting posture image are identified, and whether the back and the chair back of the target driver are attached or not is analyzed; if the target driver is not attached, the sitting posture of the target driver is uncomfortable, and then step S253 is executed;
step S253, automatically adjusting the adjusting parameter information of the gesture type equipment to enable the chair back of the target driver to approach the back of the target driver;
step S254, collecting the adjusted sitting posture image of the target driver; identifying the back and the chair back of the target driver in the regulated sitting posture image of the target driver, and analyzing whether the back and the chair back of the target driver are attached or not; if the back of the target driver is attached to the chair back, the current sitting posture of the target driver is indicated to be comfortable, and step S255 is executed; if the back of the target driver is not attached to the chair back, which means that the sitting posture of the target driver is still uncomfortable, executing step S253;
and step S255, updating the adjusting parameter information of the corresponding gesture equipment in the personal characteristic database of the target driver according to the adjusted adjusting parameter information of the gesture equipment.
In this embodiment, whether the driver feels comfortable is determined according to whether the back of the driver is attached to the chair back, if not, the adjustment parameter information of the posture device is adjusted, so that the chair back approaches to the back of the driver, until the back of the driver is attached to the chair, that is, the driver feels comfortable, from the sitting posture image information of the driver, and the adjustment parameter information of the adjusted posture device is updated to the adjustment parameter information in the personal characteristic database of the driver, so that the vehicle can be automatically adjusted along with the change of the requirement of the driver.
Example III
The present embodiment provides an adaptive control system 400, which may be used to execute the method embodiment of the present application, and for details not disclosed in the embodiment of the present system, please refer to the first embodiment and the second embodiment of the method embodiment of the present application. Fig. 4 is a block diagram of an adaptive control system 400 according to an embodiment of the present application, and as shown in fig. 4, the system 400 provided in this embodiment includes a database module 410, an identification module 420, and an adaptive control module 430, which are specifically as follows:
the database module 410 is configured to store a personal characteristic database of the driver, where the personal characteristic database includes biometric information, identity information of the driver, and corresponding relations of adjustment parameter information corresponding to devices in the cab. The biological characteristic information comprises biological characteristic information such as faces, fingerprints and the like. The physiological characteristic information comprises physiological characteristic information such as height, weight and the like. The adjusting parameter information is the adjusting parameter corresponding to each device in the cab when the actually measured driver feels comfortable.
The identification module 420 is configured to identify the obtained biometric information of the target driver, and determine identity information corresponding to the identified biometric information and target adjustment information for each device in the cab from a personal feature database of the target driver.
The adaptive control module 430 sets corresponding devices in the cab based on the target adjustment parameter information, so as to control the working states of the devices in the cab.
In this embodiment, the personal characteristic database of the driver is built according to the adjustment parameter information of each device in the cab when the driver feels comfortable, so that the related personal characteristic database is called according to the identified identity information of the driver, and each device in the cab is set according to the adjustment parameter information of each device in the called personal characteristic database, so as to realize the self-adaptive control of each device in the cab according to the identity of the driver, thereby improving the driving comfort of the driver, realizing the active intelligent interaction between the vehicle and the person, and improving the intelligent level of the train.
In some embodiments of the present invention, in some embodiments,
the equipment in the cab comprises environment equipment and gesture equipment, wherein the environment equipment is used for adjusting the internal environment of the cab and comprises air conditioning equipment, lighting equipment and the like; the gesture type equipment is used for adjusting the body gesture of a driver and comprises equipment such as a seat, pedals and the like.
The personal characteristic database also comprises a special characteristic database established based on each environment type device, namely, each environment type device corresponds to one special characteristic database. The exclusive feature database comprises a working mode database established based on preset environmental condition information, and the working mode database comprises adjustment parameter information of the environmental equipment. The environment-type devices include air conditioning devices, lighting devices, and the like. Taking air conditioning equipment as an example, taking preset environmental condition information as seasons, namely respectively setting the working modes of the air conditioning equipment according to four seasons of spring, summer, autumn and winter; the working modes comprise a refrigerating mode, a heating mode, a ventilation mode, and temperature, wind intensity and the like in each mode. If the environmental condition information is the environmental condition information and is in summer, the working mode of the air conditioning equipment is set to be a refrigeration mode, the temperature is 26 ℃, and the wind power strength is medium. Taking a lighting device as an example, the preset environmental condition information comprises two types of daytime and night, and the working mode of the lighting device is on and off, or the illumination intensity of the lighting device.
The adaptive control module 430 is further configured to match a corresponding target working mode database from dedicated databases corresponding to the environmental devices according to environmental information in the cab, and set the corresponding environmental devices based on the adjustment parameter information in the target working mode database, so as to control the environmental devices to operate in the corresponding working modes.
In some embodiments, the adaptive control module 430 is further configured to monitor control operation information of the target driver for any device in the cab. The control operation information is sent by the target driver and comprises language control information and/or manual operation information and the like. If the control operation information is monitored, the adaptive control module 430 determines an operation instruction and an operation device according to the control operation information, determines corresponding devices in the cab and adjustment parameter information of the corresponding devices according to the operation instruction and the operation device, and updates the adjustment parameter information of the corresponding devices in the personal characteristic database of the target driver according to the determined corresponding devices in the cab and the determined adjustment parameter information of the corresponding devices.
In this embodiment, the adjustment parameter information in the personal characteristic database of the driver is updated according to the control operation information sent by the driver to control any device in the cab, so that the vehicle can be automatically and intelligently adjusted along with the change of the requirement of the driver.
In some embodiments, in the case that the posture device includes a seat, if the adaptive adjustment module 430 does not monitor the control operation information for controlling the seat, the adaptive control module 430 is further configured to acquire a sitting posture image of the target driver, identify a back and a seatback of the target driver in the sitting posture image, analyze whether the back of the target driver is attached to the seatback, and automatically adjust the adjustment parameter information of the posture device if the back of the target driver is not attached to the seatback, so that the seatback of the target driver approaches to the back of the driver. After the adjustment is completed, the adaptive control module 430 acquires the adjusted sitting posture image of the target driver, identifies the back and the chair back of the target driver in the adjusted sitting posture image, analyzes whether the back and the chair back of the target driver are attached, and automatically adjusts the adjustment parameter information of the posture-like device again if the back and the chair back are not attached; if the target driver is attached, the adaptive adjustment module 430 is further configured to update the adjustment parameter information of the corresponding gesture device in the personal feature database of the target driver according to the adjusted adjustment parameter information of the gesture device.
In this embodiment, whether the driver feels comfortable is determined according to whether the back of the driver is attached to the chair back, if not, the adjustment parameter information of the posture equipment is adjusted, so that the chair back approaches to the back of the driver, until the back of the driver is attached to the chair, that is, the driver feels comfortable, from the sitting posture image information of the driver, and the adjustment parameter information of the adjusted posture equipment is updated to the adjustment parameter information in the personal characteristic database of the driver, so that the vehicle can be automatically and intelligently adjusted along with the change of the requirement of the driver.
Example IV
The present embodiment also provides a computer readable storage medium, in which a computer program is stored, where the computer program may implement the steps of the method in the above embodiment when executed by a processor, and the detailed description of the embodiment is not repeated here.
The computer-readable storage medium may also include, among other things, computer programs, data files, data structures, etc., alone or in combination. The computer readable storage medium or computer program may be specifically designed and understood by those skilled in the art of computer software, or the computer readable storage medium may be well known and available to those skilled in the art of computer software. Examples of the computer readable storage medium include: magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CDROM discs and DVDs; magneto-optical media, such as optical disks; and hardware means, specifically configured to store and execute computer programs, such as read-only memory (ROM), random Access Memory (RAM), flash memory; or a server, app application mall, etc. Examples of computer programs include machine code (e.g., code produced by a compiler) and files containing higher level code that may be executed by the computer using an interpreter. The described hardware devices may be configured to act as one or more software modules to perform the operations and methods described above, and vice versa. In addition, the computer readable storage medium may be distributed among networked computer systems, and the program code or computer program may be stored and executed in a decentralized manner.
Example five
Fig. 5 is a connection block diagram of an electronic device according to an embodiment of the present application, as shown in fig. 5, the electronic device 500 may include: one or more processors 510, memory 520, multimedia components 530, input/output (I/O) interfaces 540, and communication components 550.
Wherein the processor 510 is configured to perform all or part of the steps of the method as in embodiment one. The memory 520 is used to store various types of data, which may include, for example, instructions for any application or method in the electronic device, as well as application-related data.
The processor 520 may be an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), digital signal processor (Digital Signal Processor, DSP), digital signal processing device (Digital Signal Processing Device, DSPD), programmable logic device (Programmable Logic Device, PLD), field programmable gate array (Field Programmable Gate Array, FPGA), controller, microcontroller, microprocessor or other electronic component implementation for performing the methods of the above embodiments.
The Memory 520 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The multimedia component 530 may include a screen, which may be a touch screen, and an audio component for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in a memory or transmitted through a communication component. The audio assembly further comprises at least one speaker for outputting audio signals.
The I/O interface 540 provides an interface between the processor 510 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons.
The communication component 550 is used for wired or wireless communication between the electronic device 500 and other devices.
The wired communication comprises communication through a network port, a serial port and the like; the wireless communication includes: wi-Fi, bluetooth, near field communication (Near Field Communication, NFC for short), 2G, 3G, 4G, 5G, or a combination of one or more of them. The corresponding communication component 515 may thus comprise: wi-Fi module, bluetooth module, NFC module.
It should be further understood that the methods or systems disclosed in the embodiments provided herein may be implemented in other manners. The above-described method or system embodiments are merely illustrative, for example, flow diagrams and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and apparatuses according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, a computer program segment, or a portion of a computer program, which comprises one or more computer programs for implementing the specified logical function(s).
It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures, and in fact may be executed substantially concurrently, or in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer programs.
In this application, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, apparatus or device comprising such elements; if any, the terms "first," "second," etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of features indicated or implicitly indicating the precedence of features indicated; in the description of the present application, unless otherwise indicated, the terms "plurality", "multiple" and "multiple" mean at least two; if the description is to a server, it should be noted that the server may be an independent physical server or terminal, or may be a server cluster formed by a plurality of physical servers, or may be a cloud server capable of providing basic cloud computing services such as a cloud server, a cloud database, a cloud storage, a CDN, and the like; in this application, if an intelligent terminal or a mobile device is described, it should be noted that the intelligent terminal or the mobile device may be a mobile phone, a tablet computer, a smart watch, a netbook, a wearable electronic device, a personal digital assistant (Personal Digital Assistant, PDA), an augmented Reality device (Augmented Reality, AR), a Virtual Reality device (VR), an intelligent television, an intelligent sound device, a personal computer (Personal Computer, PC), etc., but the present application is not limited thereto.
Finally it is pointed out that in the description of the present specification, the terms "one embodiment," "some embodiments," "example," "one example" or "some examples" and the like refer to particular features, structures, materials or characteristics described in connection with the embodiment or example as being included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present application have been illustrated and described above, it should be understood that the above-described embodiments are illustrative only and are not intended to limit the present application to the details of the embodiments employed to facilitate the understanding of the present application. Any person skilled in the art to which this application pertains will be able to make any modifications and variations in form and detail of implementation without departing from the spirit and scope of the disclosure, but the scope of protection of this application shall be subject to the scope of the claims that follow.
Claims (10)
1. An adaptive control method, comprising:
acquiring biological characteristic information of a target driver;
identifying the biological characteristic information of the target driver, and determining the identity information corresponding to the identified biological characteristic and the target adjusting parameter information aiming at each device in the cab from a personal characteristic database of the target driver, wherein the personal characteristic database comprises the biological characteristic information of the driver, the identity information and the corresponding relation of the adjusting parameter information corresponding to each device in the cab;
and setting corresponding equipment in the cab based on the target regulation parameter information so as to control the working state of each equipment in the cab.
2. The method of claim 1, wherein the equipment within the cab comprises environmental-like equipment for conditioning an internal environment of the cab;
the personal characteristic database comprises a proprietary characteristic database established based on each environment-type device, the proprietary characteristic database comprises a working mode database established based on preset environment condition information, and the working mode database comprises adjustment parameter information of the environment-type devices;
the method further comprises the steps of:
acquiring environmental information of the cab;
respectively matching a target working mode database from the exclusive characteristic databases corresponding to the environment equipment according to the environment information;
and setting the corresponding environment equipment based on the adjustment parameter information in the target working mode database so as to control the environment equipment to run in the corresponding working mode.
3. The method according to claim 2, wherein the method further comprises:
monitoring control operation information of the target driver aiming at any device in the cab;
if the control operation information is monitored, then
Determining an operation instruction and operation equipment according to the control operation information;
determining corresponding equipment in the cab and adjusting parameter information of the corresponding equipment according to the operating instruction and the operating equipment;
and updating the adjusting parameter information of the corresponding equipment in the personal characteristic database of the target driver according to the determined adjusting parameter information of the corresponding equipment in the cab and the corresponding equipment.
4. A method according to claim 3, wherein the devices in the cab further comprise a gesture-like device for adjusting the body gesture of the driver; the posture equipment comprises a seat and pedals, and the adjusting parameter information of the seat comprises the position of the seat and the angle of the chair back; the adjusting parameter information of the pedals comprises positions and angles of the pedals.
5. The method according to claim 4, wherein in the step of monitoring control operation information of the target driver for any device in the cab in the case where the posture-like device includes a seat, if the control operation information for controlling the seat is not monitored, the method further comprises:
collecting a sitting posture image of the target driver;
identifying the back and the chair back of the target driver in the sitting posture image, and analyzing whether the back and the chair back of the target driver are attached or not;
if the target driver is not attached, the sitting posture of the target driver is uncomfortable, then
Automatically adjusting the adjusting parameter information of the gesture type equipment to enable the chair back of the target driver to approach the back of the target driver;
collecting the adjusted sitting posture image of the target driver;
identifying the back and the chair back of the target driver in the regulated sitting posture image of the target driver, and analyzing whether the back and the chair back of the target driver are attached or not;
if the back of the target driver is attached to the chair back, the current sitting posture of the target driver is comfortable, and the adjusting parameter information of the corresponding posture equipment in the personal characteristic database of the target driver is updated according to the adjusted adjusting parameter information of the posture equipment.
6. A method according to claim 3, wherein the control operation information comprises voice control information and/or manual operation information.
7. The method according to claim 2, wherein the environmental condition information comprises season and/or temperature and/or light intensity.
8. An adaptive control system, comprising:
the database module is used for storing a personal characteristic database of the driver, wherein the personal characteristic database comprises biological characteristic information and identity information of the driver and corresponding relations of the driver to adjusting parameter information corresponding to each device in the cab;
the identification module is used for acquiring the biological characteristic information of the target driver, identifying the biological characteristic information of the target driver, and determining the identity information corresponding to the identified biological characteristic and the target regulation parameter information aiming at each device in the cab from the personal characteristic database of the target driver;
and the self-adaptive control module is used for setting corresponding equipment in the cab based on the target adjustment parameter information so as to control the working state of each equipment in the cab.
9. A computer storage medium storing a computer program which, when executed by one or more processors, implements the adaptive control method of any one of claims 1 to 7.
10. An electronic device comprising a memory and one or more processors, the memory having stored thereon a computer program, the memory and the processors being communicatively coupled to each other, the computer program, when executed by the processors, performing the adaptive control method of any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211124974.1A CN117742480A (en) | 2022-09-15 | 2022-09-15 | Self-adaptive control method, system, storage medium and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211124974.1A CN117742480A (en) | 2022-09-15 | 2022-09-15 | Self-adaptive control method, system, storage medium and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117742480A true CN117742480A (en) | 2024-03-22 |
Family
ID=90259718
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211124974.1A Pending CN117742480A (en) | 2022-09-15 | 2022-09-15 | Self-adaptive control method, system, storage medium and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117742480A (en) |
-
2022
- 2022-09-15 CN CN202211124974.1A patent/CN117742480A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108725136B (en) | Vehicle-mounted air conditioner adjusting method, system, equipment and storage medium | |
| US11358590B2 (en) | Switching method of automatic driving mode, apparatus and readable storage medium | |
| US20200031195A1 (en) | Personalized adaptive hvac system control methods and devices | |
| CN112061057B (en) | Scene triggering method, device, equipment and storage medium | |
| US10518602B2 (en) | Automatic control of heating and cooling of a vehicle seating assembly pursuant to predictive modeling that recalibrates based on occupant manual control | |
| US10106173B2 (en) | Systems and methods of an adaptive interface to improve user experience within a vehicle | |
| CN112037731A (en) | Screen brightness adjusting method, device, equipment and storage medium | |
| CN113246989B (en) | Vehicle control method and device based on emotion management and vehicle | |
| CN111891037A (en) | Cockpit lighting control method, device, equipment and storage medium | |
| CN112230555A (en) | Intelligent household equipment, control method and device thereof and storage medium | |
| CN111114451A (en) | Vehicle machine configuration method and device and electronic equipment | |
| US11177044B2 (en) | Summarily conveying smart appliance statuses | |
| CN114771442A (en) | Vehicle personalized setting method and vehicle | |
| CN113495487A (en) | Terminal and method for adjusting operation parameters of target equipment | |
| CN112667325A (en) | Display interface layout method, control device and electronic equipment | |
| CN114091336A (en) | Air conditioner adjusting method and device, vehicle and storage medium | |
| CN117742480A (en) | Self-adaptive control method, system, storage medium and electronic equipment | |
| CN113059982A (en) | Method and device for adjusting vehicle temperature | |
| CN115268293A (en) | Touch screen control panel based on whole-house intelligent household appliance control | |
| CN114299929A (en) | Voice interaction method and device, server and storage medium | |
| CN110968341A (en) | Method and device for setting air conditioner parameters | |
| CN113792059A (en) | Scene library updating method, device, equipment and storage medium | |
| US11794676B1 (en) | Computing systems and methods for generating user-specific automated vehicle actions using artificial intelligence | |
| US20240198938A1 (en) | Computing Systems And Methods For Generating User-Specific Automated Vehicle Actions | |
| CN117366840A (en) | Method, device and equipment for intelligently adjusting temperature and humidity and readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |