CN110850829B - Weather-based intelligent control method and system for vehicle-mounted equipment - Google Patents
Weather-based intelligent control method and system for vehicle-mounted equipment Download PDFInfo
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- CN110850829B CN110850829B CN201911134717.4A CN201911134717A CN110850829B CN 110850829 B CN110850829 B CN 110850829B CN 201911134717 A CN201911134717 A CN 201911134717A CN 110850829 B CN110850829 B CN 110850829B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W10/00—Conjoint control of vehicle sub-units of different type or different function
- B60W10/30—Conjoint control of vehicle sub-units of different type or different function including control of auxiliary equipment, e.g. air-conditioning compressors or oil pumps
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses a weather-based intelligent control method for vehicle-mounted equipment, which comprises the following steps: acquiring environmental data information; determining a scene mode according to the environmental data information and pre-configured prediction data; performing user interaction according to the determined scene mode; and responding to the feedback of the user, and controlling the corresponding vehicle-mounted equipment to perform corresponding action. According to the method and the system disclosed by the invention, different scenes can be constructed according to requirements, and different interactions can be carried out with the user according to the different scenes, so that the vehicle-mounted equipment can be automatically controlled according to different feedbacks of the user, the interactivity between the user and a vehicle-mounted equipment system is improved, and the vehicle-mounted equipment is more intelligent.
Description
Technical Field
The invention relates to the technical field of vehicle-mounted voice, in particular to a method and a system for intelligently controlling vehicle-mounted equipment based on weather change.
Background
With the explosive development of artificial intelligence, there is a growing interest in trending applications and products that are evolving around artificial intelligence. Meanwhile, the vehicle-mounted equipment is more and more intelligent, various devices are communicated with the vehicle-mounted system, and various forms of control can be performed, for example, a user can control facilities in a vehicle in a voice or touch mode. However: in some special scenarios, the user cannot control the in-vehicle facilities in time due to unpredictable environmental factors. For example: when rainstorm suddenly occurs, the windows, the skylight and the vehicle open can not be closed in time, so that water enters the vehicle, and the like. The linkage between the vehicle-mounted equipment and the user is insufficient, the interaction can be carried out only by active control through active query of the user, and the intelligent degree is low.
Disclosure of Invention
In order to solve the problems, the inventor thinks that the unique advantages of artificial intelligence and big data are combined, a mode of combining the big data, human-computer interaction and vehicle-mounted control is established, and more intelligent experience is provided for users.
According to one aspect of the invention, a weather-based intelligent control method for vehicle-mounted equipment is provided, which comprises the following steps: acquiring environmental data information; determining a scene mode according to the environmental data information and pre-configured prediction data; performing user interaction according to the determined scene mode; and responding to the feedback of the user, and controlling the corresponding vehicle-mounted equipment to perform corresponding action. Therefore, a multi-dimensional scene is constructed with the vehicle-mounted system through the acquisition of the environmental data, and different interactions are carried out with the user according to different scenes, so that the vehicle-mounted equipment can be automatically controlled according to different feedbacks of the user, the interactivity of the user and the vehicle-mounted equipment system is improved, and the vehicle-mounted equipment is more intelligent.
In some embodiments, obtaining environmental data information includes obtaining current location information of an in-vehicle system; and acquiring environmental data information from a pre-configured weather interface according to the current position information of the vehicle-mounted system. Therefore, real-time weather information can be acquired according to the current position of the vehicle, so that the current weather condition is accurately determined, the existing weather big data information is fully utilized, the determined weather condition is high in real-time performance and accuracy, timely vehicle equipment control can be possible by combining the current weather condition, and the user experience is greatly improved.
In some embodiments, the configured forecast data includes weather conditions and operating modes associated therewith, and determining from the environmental data information and the preconfigured forecast data that the scene mode is implemented as: determining the current weather condition according to the environmental data information; adapting the current weather conditions to the forecast data, determining an associated mode of operation; acquiring the condition data of the current vehicle equipment, and determining the current scene mode according to the condition data of the current vehicle equipment, the current weather condition and the corresponding operation mode. Therefore, more accurate weather conditions and vehicle equipment needing to be controlled can be obtained according to the combination of the pre-configured weather prediction data and the environmental data, and an accurate scene mode can be generated according to the current vehicle equipment conditions, so that the control function of the vehicle-mounted equipment can be realized only through voice control of a user in different weathers, and the user experience is greatly improved.
In some embodiments, the configured forecast data includes that the current weather condition is rainfall, and the associated operating mode is to control the closing of the in-vehicle devices including windows, skylights, and cabriolets. Therefore, in a rainy environment, the closing function of the vehicle-mounted equipment can be realized only through voice control of a user, and the phenomenon that rainwater enters a vehicle due to untimely operation of equipment such as a vehicle window and a skylight which needs to be manually closed by the user in a rainy day is overcome.
In some embodiments, the configured forecast data includes that the current weather condition is strong ultraviolet, and the associated operating mode is to control the closing of the in-vehicle device including the shade. Therefore, under the environment of ultraviolet rays, the closing function of the vehicle-mounted equipment can be realized only through voice control of a user. The phenomenon that when the ultraviolet rays are strong, a user needs to manually pull up the sunshade screen, and the driving safety is affected is overcome.
In some embodiments, the configured forecast data includes that the current weather condition is heavy rainfall, and the associated operating mode is to control the on-board equipment including the on-board road antiskid system to be turned on. Therefore, under the environment with large rainfall, the function of automatically starting the vehicle-mounted road antiskid system can be realized only through the voice control of the user. The phenomenon of vehicle body slip caused by the fact that a user does not timely start the vehicle-mounted road anti-slip system when the road slips in a rainy day is overcome.
In some embodiments, the user voice interaction according to the determined scene mode is implemented as: and generating broadcast voice output according to the determined scene mode, and starting voice monitoring processing to acquire the voice feedback content of the user. Therefore, the voice message of the user can be acquired in a voice monitoring mode, and voice interaction with the user can be carried out more accurately.
In some embodiments, generating the broadcast voice output according to the determined scene mode is implemented to include mapping different scene modes with their associated broadcast text content; acquiring related broadcast text content according to the determined scene mode, and generating broadcast voice output through a voice synthesis technology; responding to the feedback of the user, and controlling the corresponding vehicle-mounted equipment to perform corresponding actions through the vehicle-mounted system to realize that: acquiring a corresponding vehicle-mounted equipment operation mode according to the determined scene mode; and when the acquired user feedback is an execution operation, sending an operation instruction of the vehicle-mounted equipment to the vehicle-mounted system, and controlling the vehicle-mounted equipment to perform corresponding operation. Therefore, a mapping relation can be formed by the set different scene modes, the broadcast text content related to the scene modes and the operation instruction of the vehicle-mounted equipment, and the function of interacting with the voice instruction of the user and the control instruction of the vehicle-mounted system is automatically realized.
According to another aspect of the invention, a weather-based intelligent control system for vehicle-mounted equipment is provided, which comprises: the data source interface is used for acquiring environmental data information; the weather scene module is used for determining a scene mode according to the environmental data information and the preset prediction data; the interaction module is used for carrying out user interaction according to the determined scene mode; and the control module is used for responding to the feedback of the user and controlling the corresponding vehicle-mounted equipment to perform corresponding actions. Therefore, the environment data are acquired through the data source interface, a multi-dimensional scene is constructed with the weather scene module and the vehicle-mounted system, different interaction is carried out with the user according to different scenes, and therefore the vehicle-mounted equipment can be automatically controlled according to different feedback of the user, the interactivity of the user and the vehicle-mounted system is improved, and the vehicle-mounted system is more intelligent.
In some embodiments, further comprising: the storage module is used for storing different configured scene modes and broadcast text contents related to the scene modes, wherein the configured scene modes comprise weather conditions and operation modes related to the weather conditions; the interactive module is used for acquiring broadcast text contents according to the determined scene mode to generate broadcast voice output; the control module is used for controlling the vehicle-mounted equipment to carry out corresponding operation according to the user feedback acquired by the interaction module and the operation mode corresponding to the determined scene mode. Therefore, different scene modes, broadcast text contents related to the scene modes and vehicle-mounted equipment operation instructions can be configured through the configuration module to form a mapping relation, and the function of interaction with voice instructions of users and control instructions of a vehicle-mounted system is automatically realized.
In some embodiments, the scene modes include a rain mode, a strong ultraviolet mode, and a strong rainfall mode, wherein the in-vehicle device operation mode corresponding to the rain mode is to control windows, skylights, and awnings to be closed; the operation mode of the vehicle-mounted equipment corresponding to the strong ultraviolet mode is to control the sunshade curtain to be opened; the operation mode of the vehicle-mounted equipment corresponding to the heavy rainfall mode is to control the vehicle-mounted road antiskid system to be started. Therefore, the method can adapt to various scene modes and meet various requirements of users.
According to another aspect of the present invention, there is provided an electronic apparatus including: the computer-readable medium includes at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to perform the steps of the above-described method.
Drawings
Fig. 1 is a flowchart of a weather-based intelligent control method for a vehicle-mounted device according to an embodiment of the present invention;
FIG. 2 is a block diagram of a weather-based intelligent control system for a vehicle-mounted device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Fig. 1 schematically shows a flow of a weather-based intelligent control method for a vehicle-mounted device according to an embodiment of the present invention, and as shown in fig. 1, this embodiment includes the following steps:
step S101: and acquiring environment data information. The manner of obtaining the environmental data information may illustratively be to access a plurality of weather databases through a weather interface provided by a third party (for example, the weather interface provided by the chinese weather network accesses the databases), simultaneously call data of the plurality of weather databases, obtain real-time environmental data information of different areas, such as rainfall data, rainfall information, ultraviolet intensity information, and the like, and determine the finally obtained environmental data information by comparing data difference values of the databases. Specifically, before accessing a weather database through a weather interface, current location information of the vehicle-mounted system is first acquired, and a location of a current vehicle-mounted device, such as shenzhen, is exemplarily acquired through an LBS module of the vehicle-mounted system; and then, the geographical position information is used as a request parameter and is transmitted to a third-party platform through a weather interface so as to acquire the environment data information corresponding to the geographical position.
Each third-party platform provides a field name of the environment data information adapted to the third-party platform when providing the weather interface, and after receiving a request containing the geographical location information, the third-party platform returns the environment data information of the area according to the corresponding field name, that is, the returned environment data information is the field name adapted to the environment data field provided by the third-party platform and the corresponding content value, for example, the returned environment data information includes the field names of the wind speed, the rainfall state and the like and the corresponding content value. Thus, after receiving the environmental data information returned by the weather interface, firstly extracting the content value of a certain environmental data field from the acquired environmental data information according to the name of the environmental data field corresponding to the weather interface (the certain environmental data field is the currently concerned environmental data field, for example, the content value of the environmental data field related to the raining state is extracted when judging whether raining exists currently); then, a final output value is determined according to the content value of the extracted environmental data field, that is, the environmental data information to be finally output is determined, for example, in the case of obtaining the raining state data according to the requirement to judge whether the raining weather condition is the rainy condition, the raining state data is simultaneously extracted from the multiple weather interface databases to be compared, and the finally output raining state data is determined according to the comparison result And outputting the result of the environmental data information of the rain weather.
Step S102: and determining a scene mode according to the environment data information and the preset and stored prediction data. In the initialization stage, the storage of the prediction data is configured, so that after the environment data information is obtained, the scene mode can be constructed according to the environment data information and the prediction data. Therein, configuration stored forecast data may be implemented to include, for example, weather conditions and operating modes associated therewith. In this way, each weather condition can be associated with a corresponding device operating mode as desired. The operation mode refers to an operation mode of the vehicle device. For example, the configured weather conditions may include rain, strong ultraviolet rays, heavy rainfall, etc., and the operation modes of the vehicle devices corresponding thereto may be configured accordingly according to the requirements and the actual vehicle experience: associating rainy weather conditions with the operation of windows, skylights and awnings, strong ultraviolet weather conditions with the operation of sun shades, strong rainfall weather conditions with the operation of on-board road antiskid systems, etc.
Therefore, after the real-time environment data information is acquired, the current weather condition can be judged according to the real-time environment data information. Thereafter, an operating mode associated with the current weather condition is matched from the stored prediction data based on the determined current weather condition. Specifically, the current weather state is matched with the weather conditions in the prediction data, the same weather conditions are found, then the operation mode associated with the weather conditions is inquired, and the operation mode is obtained. After the operation mode is acquired, the vehicle device associated with the current weather condition can be known, at this time, it is necessary to preferentially acquire the condition data of the current vehicle device, judge the condition data of the current vehicle device, determine whether the operation mode needs to be performed according to the judgment result, and if necessary, construct the current weather condition and the corresponding operation mode as the current scene mode. For example, for a rainy weather condition, acquiring the corresponding operation mode as closing operation of a window, a skylight and an open top, at this time, first acquiring condition data of vehicle devices such as the window, the skylight and the open top, judging whether the vehicle devices need to be closed according to the acquired condition data, that is, whether the vehicle devices are in an open state currently, and if so, constructing a current scene mode as: in rainy days, closing the vehicle windows, the skylight and the open/close awning; and if only the window is opened and the skylight and the open roof are closed according to the judgment result, constructing the current scene mode as follows: closing the vehicle window in rainy days; and if the window, the skylight and the open roof are in the closed state at present according to the judgment result, constructing a scene mode as follows: mode switching is not performed.
For example, the prediction data may be configured to be stored in the vehicle-mounted system, and the condition data of the vehicle device may be acquired by calling an interface provided by the vehicle-mounted system.
Step S103: and carrying out user interaction according to the determined scene mode. In this embodiment, the interactive mode is voice interaction, that is, broadcast voice output is generated according to the scene mode determined in the previous step, and a voice monitoring function of the vehicle-mounted system is started to wait for voice feedback of the user. The content of the broadcast voice is determined according to the constructed scene mode, and the mode of generating the broadcast voice can be realized by adopting a voice synthesis technology in the prior art. Illustratively, when the constructed scene mode is 'rainy weather, window, skylight and open roof' the output broadcast voice content is 'whether window, skylight and open roof are closed or not at present in rainy weather'; when the constructed scene mode is 'rainy weather and car window closing', the output broadcast voice content is 'whether the car window is closed or not in rainy weather at present'; when the constructed scene mode is "not to perform mode switching", the broadcast voice and the like are not generated. After the voice is broadcasted, the voice monitoring function of the vehicle-mounted system is started, and the voice sent by the user is picked up and identified so as to judge the voice feedback content of the user. In order to implement automation and intelligence, the method for determining the content of the broadcast voice may be implemented as follows: different scene modes and broadcast text contents associated with the scene modes are mapped, and the mapping relation can be stored as shown in the following table
| Scene mode | Weather conditions | Mode of operation | Broadcasting text content |
| 1 | Rainy day | Closing vehicle window and skylight | Whether windows and skylights are closed in rainy days at present |
Therefore, after the determined scene mode is obtained, the related broadcast text content can be obtained according to the mapping relation, the broadcast voice output is generated through the voice synthesis technology, and the user can realize intelligent interaction with the vehicle-mounted equipment and the vehicle-mounted system only by feeding back yes or no.
Step S104: and responding to the feedback of the user, and controlling the corresponding vehicle-mounted equipment to perform corresponding action. When the feedback of the user is received, firstly, the feedback content is judged, exemplarily, the feedback content is the voice content that the user says yes or no through a voice interaction mode, when the obtained feedback of the user is judged to be yes, the corresponding operation mode of the vehicle-mounted equipment is obtained according to the determined scene mode, the operation instruction corresponding to the operation mode of the vehicle-mounted equipment is sent to the vehicle-mounted system, exemplarily, the operation instruction of closing windows and skylights is sent to the corresponding interface, and the vehicle-mounted system sends the instruction to the corresponding interface, so that the vehicle-mounted equipment is controlled to carry out corresponding operation.
According to the method provided by the embodiment, a mode of combining big data, man-machine interaction and vehicle-mounted control can be established, and more intelligent experience is provided for users.
The method comprises the steps that configured forecast data comprise that the current weather condition is rainfall and the operation mode related to the rainfall is used for controlling the closing of vehicle-mounted equipment comprising windows, skylights and cabriolets; the current weather condition is strong ultraviolet rays, and the operation mode related to the strong ultraviolet rays is to control the closing of the vehicle-mounted equipment including the sunshade curtain; and the current weather condition is heavy rainfall, and the operation mode associated with the heavy rainfall is to control the on-board equipment including the on-board road antiskid system to be turned on, for example, the following describes the above method process by way of example with reference to a specific application example.
Taking rainy weather as an example, the implementation process comprises the following steps: firstly, acquiring environmental data information including a rainfall state from a weather database associated with a weather interface, and extracting a rainfall state data value of each weather database from the acquired multiple pieces of environmental data information according to a field name corresponding to the rainfall state; then, according to the difference comparison condition of the plurality of rainfall state data, determining the rainfall state as the finally output environmental data information; then, when the current weather state is determined to be rainfall based on the environmental data information, inquiring a vehicle equipment operation mode corresponding to the rainfall from the prediction data to control the closing of vehicle-mounted equipment including windows, skylights and open/close roofs; then, current condition data of corresponding vehicle equipment are obtained, whether vehicle-mounted equipment such as a vehicle window, a skylight and an open or not needs to be closed or not is determined according to the current vehicle equipment condition data and the obtained vehicle equipment operation mode corresponding to the current weather, and therefore a proper scene mode is constructed; and then, generating a broadcast voice according to the determined scene mode, wherein the current weather is rainy, and the output is turned off …, controlling the vehicle-mounted equipment determined in the scene mode to be turned off when the feedback is yes according to the voice feedback of the user, and continuing to monitor the weather condition of the next round when the feedback is no.
Taking the weather of strong ultraviolet rays as an example, the implementation process comprises the following steps: firstly, acquiring environment data information including ultraviolet intensity from a weather database associated with a weather interface, and extracting an ultraviolet intensity data value of each weather database from the acquired environment data information according to a field name corresponding to the ultraviolet intensity; then, according to the comparison condition of the difference values of the ultraviolet intensity data, determining the ultraviolet intensity with the approximate difference value and a large quantity as finally output environment data information; secondly, when the current weather state is determined to be strong ultraviolet based on the environmental data information and the ultraviolet intensity division threshold data, inquiring a vehicle equipment operation mode corresponding to the strong ultraviolet from the prediction data, and controlling the vehicle-mounted equipment including the sun-shading curtain to be closed; then, obtaining current condition data of corresponding vehicle equipment, namely the current condition of the sunshade curtain, and determining whether the vehicle equipment such as the sunshade curtain needs to be closed or not according to the current condition data of the sunshade curtain so as to construct a proper scene mode; and then, generating a broadcast voice 'currently being strong ultraviolet rays and whether the sunshade screen is closed' according to the determined scene mode, controlling the sunshade screen to be closed when the feedback is 'yes' according to the voice feedback of the user, and continuing to monitor the weather condition of the next round when the feedback is 'no'.
Taking heavy rainfall weather as an example, the implementation process comprises the following steps: firstly, acquiring environment data information including rainfall from a weather database associated with a weather interface, and extracting a rainfall data value of each weather database from the acquired environment data information according to a field name corresponding to the rainfall; then, according to the difference comparison condition of the plurality of rainfall data, determining the rainfall with approximate difference and more quantity as finally output environmental data information; secondly, when the current weather state is determined to be heavy rainfall based on the environmental data information and the rainfall threshold data, inquiring a vehicle equipment operation mode corresponding to the heavy rainfall from the prediction data, and starting the vehicle equipment including the vehicle-mounted road antiskid system; then, acquiring current condition data of corresponding vehicle equipment, namely the current condition of the vehicle-mounted road antiskid system, and determining whether the vehicle-mounted road antiskid system needs to be started according to the current condition data of the vehicle-mounted road antiskid system, so as to construct a proper scene mode; and then, generating broadcast voice 'the current is heavy rainfall, whether the vehicle-mounted road antiskid system is started or not' according to the determined scene mode, controlling the vehicle-mounted road antiskid system to be started when the feedback is 'yes' according to voice feedback of a user, and continuing to monitor the weather condition of the next round when the feedback is 'no'.
In a preferred embodiment, in order to broadcast the voice to the user more accurately, achieve more effective user interaction, and improve user experience, for example, when the heavy rainfall weather is judged, the water depth data analysis may be further performed in combination with the road image acquired by the vehicle-mounted system on the basis of the rainfall amount, so as to determine the weather condition of heavy rainfall more accurately based on the rainfall amount and the water depth data. The road image acquisition can be realized by mounting a camera device which is communicated with a vehicle-mounted system on a vehicle; and the water depth data analysis can be realized by a deep learning algorithm and an image recognition technology.
In a more preferred embodiment, when a scene mode is constructed, the scene mode can be further constructed by combining user behavior data at the same position on the basis of the method. The specific implementation of the method may be that user behavior data, that is, an operation mode of the vehicle device is uploaded to a cloud in real time with a vehicle ID and a vehicle position as identifiers, when each vehicle builds a scene mode according to the method, the vehicle device operation mode corresponding to the vehicle ID at the same position is further obtained from the cloud, the vehicle device operation mode related to the current scene mode is compared with vehicle device operation modes of other users at the same position, a user behavior with the most vehicle device operation modes is selected as a currently recommended vehicle device operation mode, for example, after strong rainfall is determined and the corresponding operation mode is obtained, the vehicle device operation modes of other users at the same position are further obtained, the user occupation ratio of the operation mode for starting the vehicle-mounted road antiskid system at the same position is statistically determined, when the user occupation ratio is large, the current operation mode is determined as "starting the vehicle-mounted road antiskid system" and the scene mode is built on the basis (ii) a And when the user accounts for a small amount, constructing the current scene mode as a 'no-switching scene mode' so as to improve the practicability of the constructed scene mode and improve the user experience based on the user behaviors at the same position.
Fig. 2 schematically shows a block diagram of a weather-based intelligent control system for a vehicle-mounted device according to an embodiment of the invention, as shown in fig. 2,
the weather-based intelligent control system for the vehicle-mounted equipment comprises: the system comprises a data source interface 1, a weather scene module 2, an interaction module 3, a control module 4 and a storage module 5.
The data source interface 1 is configured to obtain environment data information, and is implemented to obtain the environment data information through an interface that calls a plurality of weather databases, and determine finally output real-time environment data information of different types, such as temperature information, rainfall information, ultraviolet intensity information, and the like, by comparing data difference values of the databases. The weather scene module 2 is configured to determine a scene mode according to the environmental data information and the pre-configured and stored prediction data, where the scene mode includes a raining mode (corresponding to a rainy weather condition), an ultraviolet mode (corresponding to an ultraviolet weather condition), and a heavy rainfall mode (corresponding to a heavy rainfall weather condition), where the determination manner may refer to the description of the method section above. The interactive module 3 is used for carrying out user interaction according to the determined scene mode, the interactive mode is voice interaction, namely different broadcast voice outputs are generated according to the scene mode determined by the previous module. The control module 4 is used for responding to the feedback of the user and controlling the corresponding vehicle-mounted equipment to perform corresponding actions through the vehicle-mounted system. For example, the rain mode corresponds to an operation mode of the vehicle-mounted equipment, namely, the vehicle window, the skylight and the open top are controlled to be closed; the operation mode of the vehicle-mounted equipment corresponding to the strong ultraviolet mode is to control the sunshade curtain to be opened; the operation mode of the vehicle-mounted equipment corresponding to the heavy rainfall mode is to control the vehicle-mounted road antiskid system to be started.
The storage module 5 is used for storing the preset prediction data, different scene modes and broadcast text contents related to the scene modes, wherein the preset scene modes comprise weather conditions and operation modes related to the weather conditions; the interactive module 3 is also used for acquiring broadcast text contents according to the determined scene mode to generate broadcast voice output; the control module 4 is further configured to obtain an operation mode of the vehicle-mounted device, which has a mapping relationship with the operation mode, according to the determined scene mode, and control the vehicle-mounted device to perform corresponding operations according to the user feedback obtained by the interaction module. The specific implementation examples and processes of the storage module 5, the interaction module 3, and the control module 4 may refer to the description of the method part, and are not described herein again.
According to the system provided by the embodiment, a mode of combining big data, man-machine interaction and vehicle-mounted control can be established, and more intelligent experience is provided for users.
In some embodiments, the present invention provides a non-transitory computer-readable storage medium, in which one or more programs including executable instructions are stored, where the executable instructions can be read and executed by an electronic device (including but not limited to a computer, a server, or a network device, etc.) to perform the above-described method for intelligent control of a weather-based vehicle device according to the present invention.
In some embodiments, the present invention further provides a computer program product, the computer program product includes a computer program stored on a non-volatile computer-readable storage medium, the computer program includes program instructions, when executed by a computer, cause the computer to execute the above-mentioned method for intelligent control of a weather-based vehicle-mounted device.
In some embodiments, an embodiment of the present invention further provides an electronic device, which includes: at least one processor, and a memory communicatively coupled to the at least one processor; the storage stores instructions which can be executed by at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the method for intelligently controlling the weather-based vehicle-mounted equipment.
In some embodiments, the present invention further provides a storage medium, on which a computer program is stored, where the computer program is capable of executing the method for intelligently controlling a weather-based vehicle-mounted device described above when the computer program is executed by a processor.
The device for intelligently controlling the weather-based vehicle-mounted device according to the embodiment of the invention can be used for executing the method for intelligently controlling the weather-based vehicle-mounted device according to the embodiment of the invention, and accordingly achieves the technical effects achieved by the method for intelligently controlling the weather-based vehicle-mounted device according to the embodiment of the invention, and further description is omitted here. In the embodiment of the present invention, the relevant functional module may be implemented by a hardware processor (hardware processor).
Fig. 3 is a schematic hardware structure diagram of an electronic device for executing a method for intelligently controlling a weather-based vehicle-mounted device according to another embodiment of the present application, where as shown in fig. 3, the device includes:
one or more processors 310 and a memory 320, one processor 310 being illustrated in fig. 3.
The device for executing the method for intelligently controlling the weather-based vehicle-mounted device may further include: an input device 330 and an output device 340.
The processor 310, the memory 320, the input device 330, and the output device 340 may be connected by a bus or other means, such as the bus connection in fig. 3.
The memory 320 is a non-volatile computer-readable storage medium and may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the method for intelligent control of a weather-based vehicle device in the embodiments of the present application. The processor 310 executes various functional applications of the server and data processing by running the nonvolatile software programs, instructions and modules stored in the memory 320, namely, implements the method for intelligent control of the weather-based in-vehicle device in the above method embodiment.
The memory 320 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of the device intelligently controlled by the weather-based in-vehicle apparatus, and the like. Further, the memory 320 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 320 may optionally include memory located remotely from processor 310, which may be connected to the means for intelligently controlling the weather-based in-vehicle device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 330 may receive input numeric or character information and generate signals related to user settings and function control of the device for weather-based on-board equipment intelligent control. The output device 340 may include a display device such as a display screen.
The one or more modules described above are stored in the memory 320 and, when executed by the one or more processors 310, perform the method for weather-based in-vehicle device intelligent control in any of the method embodiments described above.
The product can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the methods provided in the embodiments of the present application.
The electronic device of the embodiments of the present application exists in various forms, including but not limited to:
(1) mobile communication devices, which are characterized by mobile communication capabilities and are primarily targeted at providing voice and data communications. Such terminals include smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) The ultra-mobile personal computer equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include PDA, MID, and UMPC devices, such as ipads.
(3) Portable entertainment devices such devices may display and play multimedia content. Such devices include audio and video players (e.g., ipods), handheld game consoles, electronic books, as well as smart toys and portable car navigation devices.
(4) The server is similar to a general computer architecture, but has higher requirements on processing capability, stability, reliability, safety, expandability, manageability and the like because of the need of providing highly reliable services.
(5) And other electronic devices with data interaction functions.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. Based on such understanding, the above technical solutions substantially or contributing to the related art may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application
What has been described above are merely some embodiments of the present invention. It will be apparent to those skilled in the art that various changes and modifications can be made without departing from the inventive concept thereof, and these changes and modifications can be made without departing from the spirit and scope of the invention.
Claims (9)
1. A weather-based intelligent control method for vehicle-mounted equipment is characterized by comprising the following steps:
acquiring environment data information and user behavior data of other vehicle-mounted equipment in the same position as the vehicle-mounted equipment;
determining a scene mode according to the environment data information, the user behavior data and pre-configured prediction data;
performing user voice interaction according to the determined scene mode;
responding to the feedback of the user, and controlling the corresponding vehicle-mounted equipment to perform corresponding actions;
wherein the configured prediction data includes a weather condition and an operation mode associated therewith, wherein the operation mode associated therewith refers to an operation manner for the vehicle device corresponding to the weather condition, the user behavior data includes an operation mode of the vehicle device identified by a vehicle ID and a vehicle position, and the determining of the scene mode according to the environment data information, the user behavior data, and the pre-configured prediction data is implemented to include:
determining the current weather condition according to the environment data information;
adapting the current weather condition to the prediction data, determining an operating mode associated therewith and a vehicle device associated with the current weather condition;
comparing the determined operation mode associated with the current weather condition with the operation modes of the vehicle equipment related to the user behavior data at the same position, and selecting the operation mode of the vehicle equipment with the highest proportion in the user behavior data as the currently recommended operation mode of the vehicle equipment;
and acquiring the determined condition data of the vehicle equipment associated with the current weather condition, and constructing a current scene mode according to the condition data of the vehicle equipment associated with the current weather condition, the current weather condition and the currently recommended vehicle equipment operation mode.
2. The method of claim 1, wherein obtaining environmental data information comprises obtaining environmental data information
Acquiring current position information of a vehicle-mounted system;
and acquiring environmental data information from a pre-configured weather interface according to the current position information of the vehicle-mounted system.
3. The method of claim 1, wherein the forecast data includes a current weather condition being rainfall, and an associated operating mode being controlling closing of an in-vehicle device including a window, a sunroof, and a convertible.
4. The method of claim 1, wherein the predictive data includes that the current weather condition is strong ultraviolet, and the associated operating mode is to control the closing of an in-vehicle device including a shade.
5. The method of claim 1, wherein the forecast data includes that the current weather condition is heavy rainfall, and the associated operating mode is to control on-board equipment including an on-board road antiskid system.
6. The method according to any of claims 1 to 5, wherein said user speech interaction according to the determined scene mode is implemented as:
and generating broadcast voice output according to the determined scene mode, and starting voice monitoring processing to acquire the voice feedback content of the user.
7. The utility model provides a mobile unit intelligence control system based on weather which characterized in that includes:
the data source interface is used for acquiring environmental data information;
a weather scene module, configured to determine a scene mode according to the environment data information and preconfigured prediction data, where the configured prediction data includes a weather condition and an operation mode associated with the weather condition, the weather scene module determines a current weather condition according to the environment data information, adapts the current weather condition to the prediction data, determines an operation mode associated with the weather condition and a vehicle device associated with the current weather condition, compares the determined operation mode associated with the current weather condition with operation modes of vehicle devices related to user behavior data at the same location, selects a vehicle device operation mode with the highest proportion in the user behavior data as a currently recommended vehicle device operation mode, and obtains the determined condition data of the vehicle device associated with the current weather condition, and determines, according to the condition data of the vehicle device associated with the current weather condition, a scene mode corresponding to the current weather condition, Constructing a current scene mode by the current weather condition and the determined current recommended operation mode of the vehicle equipment;
the interaction module is used for carrying out user voice interaction according to the determined scene mode; and
and the control module is used for responding to the feedback of the user and controlling the corresponding vehicle-mounted equipment to perform corresponding actions.
8. The system of claim 7, further comprising:
the storage module is used for storing different configured scene modes and broadcast text contents related to the scene modes, wherein the configured scene modes comprise weather conditions and operation modes related to the weather conditions;
the interactive module is used for acquiring broadcast text contents according to the determined scene mode to generate broadcast voice output and acquiring feedback of a user on the broadcast voice;
and the control module is used for controlling the vehicle-mounted equipment to carry out corresponding operation according to the user feedback acquired by the interaction module and the operation mode corresponding to the determined scene mode.
9. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the method of any one of claims 1-6.
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| CN112052056A (en) * | 2020-08-05 | 2020-12-08 | 恒大新能源汽车投资控股集团有限公司 | Interaction method and device of vehicle-mounted intelligent assistant, vehicle-mounted equipment and vehicle |
| CN112786046B (en) * | 2021-01-15 | 2022-05-17 | 宁波方太厨具有限公司 | Multi-device voice control method, system, device and readable storage medium |
| CN114179738A (en) * | 2021-12-17 | 2022-03-15 | 一汽奔腾轿车有限公司 | Vehicle control method and system applied to vehicle washing scene |
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