WO2018214744A1 - Procédé de traitement d'informations et produit associé - Google Patents

Procédé de traitement d'informations et produit associé Download PDF

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Publication number
WO2018214744A1
WO2018214744A1 PCT/CN2018/086353 CN2018086353W WO2018214744A1 WO 2018214744 A1 WO2018214744 A1 WO 2018214744A1 CN 2018086353 W CN2018086353 W CN 2018086353W WO 2018214744 A1 WO2018214744 A1 WO 2018214744A1
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WO
WIPO (PCT)
Prior art keywords
weather data
travel
mobile terminal
module
processor
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Application number
PCT/CN2018/086353
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English (en)
Chinese (zh)
Inventor
白剑
Original Assignee
Oppo广东移动通信有限公司
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Application filed by Oppo广东移动通信有限公司 filed Critical Oppo广东移动通信有限公司
Publication of WO2018214744A1 publication Critical patent/WO2018214744A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/1093—Calendar-based scheduling for persons or groups
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions

Definitions

  • the present invention relates to the field of mobile terminal technologies, and in particular, to an information processing method and related products.
  • smartphones can support more and more applications and become more powerful. Smartphones are becoming more and more indispensable in the life of users.
  • the embodiment of the invention provides an information processing method and related products, which can push a suitable travel strategy for a user.
  • an embodiment of the present invention provides a mobile terminal, including a processor and an artificial intelligence AI module, where the processor is connected to the AI module, where
  • the processor is configured to detect whether the current user is a registered user when detecting that the system state of the mobile terminal meets a preset condition
  • the processor is further configured to: when detecting that the current user is a registered user, receive weather data from a weather application, and send a first instruction carrying the weather data to the AI module;
  • the AI module is configured to receive the first instruction, determine a travel policy corresponding to the weather data, and send a second instruction that carries the travel policy to the processor;
  • the processor is further configured to receive the second instruction and output the travel strategy.
  • an embodiment of the present invention provides an information processing method, which is applied to a mobile terminal including a processor and an artificial intelligence AI module, where the foregoing method includes:
  • the mobile terminal controls the processor to detect whether the current user is a registered user when detecting that the system state of the mobile terminal meets a preset condition
  • the mobile terminal controls the processor to receive weather data from the weather application when detecting that the current user is a registered user, and send a first instruction carrying the weather data to the AI module;
  • the mobile terminal controls the AI module to receive the first instruction, determine a travel policy corresponding to the weather data, and send a second instruction carrying the travel policy to the processor;
  • the mobile terminal controls the processor to receive the second instruction and output the travel policy.
  • an embodiment of the present invention provides a mobile terminal, where the mobile terminal has a function of implementing a behavior of a mobile terminal in the foregoing method design.
  • the above functions can be implemented by hardware or by executing corresponding software through hardware.
  • the above hardware or software includes one or more modules corresponding to the above functions.
  • the mobile terminal includes a processor and an artificial intelligence AI module configured to support the mobile terminal to perform corresponding functions in the above methods.
  • the mobile terminal may further include a communication interface for supporting communication between the mobile terminal and other devices.
  • the mobile terminal may further include a memory for coupling with the processor and the AI module, which stores necessary program instructions and data of the terminal.
  • an embodiment of the present invention provides a mobile terminal, including a processor, an artificial intelligence AI module, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory, and It is configured to be executed by the above-described processor and the above-described AI module, the program comprising instructions for performing the steps in any of the methods of the second aspect of the embodiments of the present invention.
  • an embodiment of the present invention provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes the computer to execute the embodiment of the present invention.
  • the computer comprises a mobile terminal.
  • an embodiment of the present invention provides a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to perform the implementation of the present invention Some or all of the steps described in any of the methods of the second aspect.
  • the computer program product can be a software installation package, and the computer includes a mobile terminal.
  • the processor of the mobile terminal when detecting that the system state of the mobile terminal meets the preset condition, the processor of the mobile terminal first detects whether the current user is a registered user, and when detecting that the current user is a registered user, receiving the Weather application weather data, and sending a first instruction carrying weather data to the AI module, and second, the AI module receives the first instruction, determines a travel strategy corresponding to the weather data, and sends a second instruction carrying the travel policy to the processor. Finally, the processor receives the second instruction and outputs a travel strategy. Since the current user is a registered user, the appropriate travel policy associated with the registered user can be determined according to the weather data, thereby realizing personalized control of the registered user, which is convenient for the user to obtain the travel wearing and matching suggestions conveniently.
  • FIG. 1A is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention.
  • FIG. 1B is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention.
  • FIG. 2A is a schematic flowchart of an information processing method according to an embodiment of the present invention.
  • FIG. 2B is a schematic flowchart of an information processing method in an example scenario according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention.
  • FIG. 4 is a block diagram of a functional unit of a mobile terminal according to an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention.
  • references to "an embodiment” herein mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the invention.
  • the appearances of the phrases in various places in the specification are not necessarily referring to the same embodiments, and are not exclusive or alternative embodiments that are mutually exclusive. Those skilled in the art will understand and implicitly understand that the embodiments described herein can be combined with other embodiments.
  • the mobile terminal involved in the embodiments of the present invention may include various handheld devices having wireless communication functions, in-vehicle devices, wearable devices, computing devices, or other processing devices connected to the wireless modem, and various forms of user equipment (User Equipment, UE), mobile station (MS), terminal device, and the like.
  • UE User Equipment
  • MS mobile station
  • terminal device and the like.
  • the devices mentioned above are collectively referred to as mobile terminals.
  • the embodiments of the present invention are described in detail below.
  • the processor described in the embodiment of the present invention may be an application processor.
  • the specific form of the AI module may be hardware and/or software.
  • the application processor and the AI module may be integrated or separated. Settings, not limited here.
  • the AI module When the AI module is integrated with the above application processor, if the application processor is a single core processor, the AI module may be an intelligent micro processing circuit in the application processor, and if the application processor is a multi-core processor, the AI module It can be a single intelligent microprocessor core in a multi-core processor or an intelligent microprocessor circuit in a microprocessor core.
  • the AI module may be any coprocessor (such as a baseband processor, a DSP, a power management chip, etc.) in the application processor platform architecture except the above application processor.
  • Intelligent unprocessed circuit or may be a new intelligent microprocessor in the application processor platform architecture other than the above application processor, or may be a newly set intelligent processing independent of the above application processor platform
  • the platform, and the intelligent processing platform includes at least one dedicated intelligent processor.
  • the intelligent processing platform is in communication with the application processor platform.
  • the intelligent processing platform can also be directly connected to a memory, a peripheral, or the like.
  • FIG. 1A is a schematic structural diagram of a mobile terminal 100.
  • the mobile terminal 100 includes a processor 110 and an artificial intelligence AI module 120.
  • the processor 110 is connected to the foregoing by using a bus 130.
  • AI module 120 wherein
  • the processor 110 is configured to detect whether the current user is a registered user when detecting that the system state of the mobile terminal meets a preset condition
  • the processor 110 is further configured to: when detecting that the current user is a registered user, receive weather data from a weather application, and send a first instruction that carries the weather data to the AI module;
  • the AI module 120 is configured to receive the first instruction, determine a travel policy corresponding to the weather data, and send a second instruction that carries the travel policy to the processor;
  • the processor 110 is further configured to receive the second instruction and output the travel policy.
  • the processor of the mobile terminal when detecting that the system state of the mobile terminal meets the preset condition, the processor of the mobile terminal first detects whether the current user is a registered user, and when detecting that the current user is a registered user, receiving the Weather application weather data, and sending a first instruction carrying weather data to the AI module, and second, the AI module receives the first instruction, determines a travel strategy corresponding to the weather data, and sends a second instruction carrying the travel policy to the processor. Finally, the processor receives the second instruction and outputs a travel strategy. Since the current user is a registered user, the appropriate travel policy associated with the registered user can be determined according to the weather data, thereby realizing personalized control of the registered user, which is convenient for the user to obtain the travel wearing and matching suggestions conveniently.
  • the mobile terminal 100 further includes a memory 140.
  • the AI module is specifically configured to: acquire the pre-stored and the foregoing registration in the memory. A mapping relationship between the user-associated weather data and the travel policy; and the use of the weather data as a query identifier to query the mapping relationship, and obtain a travel strategy corresponding to the weather data.
  • the weather data can be used as the query identifier, and the query corresponds to the pre-stored weather data closest to the weather data.
  • the travel strategy is beneficial to push the travel strategy for the registered users to the weather of the day.
  • the AI module is specifically configured to: acquire a travel time of the registered user; and determine weather data corresponding to the travel time in the weather data. And obtaining a travel strategy corresponding to the extreme weather data when the weather data corresponding to the travel time is detected to match the preset extreme weather data.
  • the mobile terminal acquires the travel time of the user, and then determines weather data corresponding to the travel time in the weather data, and acquires and extreme weather when detecting that the weather data corresponding to the travel time matches the preset extreme weather.
  • the corresponding travel strategy is conducive to protecting users' travel from extreme weather or reducing the impact of extreme weather on users' travel.
  • the processor is specifically configured to: display picture information including the travel policy; and/or play voice information including the travel policy; and/or, output include The text information of the above travel strategy.
  • the travel policy of the registered user is output in different forms, which is beneficial for the registered user to obtain the travel strategy recommended by the mobile terminal for the mobile terminal.
  • the AI module is further configured to receive a user image that is captured by the smart camera and includes image information of the registered user, and to identify wearing information and collocation information in the user image; The wearing information and the collocation information are used to generate a travel strategy; and a mapping relationship between the current weather data and the generated travel strategy is established and saved.
  • the mobile terminal determines the travel strategy corresponding to the weather data, firstly generates a historical travel strategy of the registered user, saves the historical travel policy in the memory of the mobile terminal, and saves the current weather data and the generated travel strategy.
  • the mapping relationship between the two is beneficial to querying the travel strategy corresponding to the weather data for the query identifier according to the weather data.
  • FIG. 2A is a schematic flowchart of an information processing method, which is applied to a mobile terminal including a processor and an artificial intelligence AI module, and the foregoing processing is consistent with the embodiment of FIG. 1A to FIG.
  • the device is connected to the above AI module.
  • the information processing method includes:
  • the mobile terminal controlling the processor to detect whether the current user is a registered user when detecting that the system state of the mobile terminal meets a preset condition.
  • the preset condition of the mobile terminal may be that the system time of the mobile terminal is detected as a preset time or that the operation for the mobile terminal is detected as a preset operation, and the preset time may be based on the user's historical wake-up time, the alarm time, and the history.
  • the time of the first use of the mobile terminal every day, etc., the weather data includes temperature, humidity, wind speed data, and the like.
  • the user identity verification may be performed by means of iris recognition, face recognition, fingerprint recognition, etc., and the registered user information is stored in the mobile terminal, and the identified current user information and the stored registration may be detected. The user information is matched to determine whether the current user is a registered user.
  • the mobile terminal controls the processor to receive weather data from the weather application when detecting that the current user is a registered user, and send a first instruction carrying the weather data to the AI module.
  • the processor When detecting that the current user is a registered user, the processor receives weather data in the weather application of the mobile terminal, and then sends a first instruction to the AI module, where the first instruction carries weather data.
  • the mobile terminal controls the AI module to receive the first instruction, determine a travel policy corresponding to the weather data, and send a second instruction carrying the travel policy to the processor.
  • the mobile terminal controls the processor to receive the second instruction, and output the travel policy.
  • the mobile terminal first controls the processor to detect whether the current user is a registered user when detecting that the system state of the mobile terminal meets the preset condition, and secondly, detecting that the current user is a registered user.
  • Receiving weather data from the weather application and transmitting a first instruction carrying the weather data to the AI module, and again, controlling the AI module to receive the first instruction, determining a travel strategy corresponding to the weather data, and performing the above processing
  • the device sends a second instruction carrying the above travel strategy, and finally, the control processor receives the second instruction and outputs the travel policy. Since the current user is a registered user, the appropriate travel policy associated with the registered user can be determined according to the weather data, thereby realizing personalized control of the registered user, which is convenient for the user to obtain the travel wearing and matching suggestions conveniently.
  • the mobile terminal further includes a memory, and the mobile terminal controls the AI module to determine a travel policy corresponding to the weather data, including:
  • the mobile terminal controls the AI module to acquire a mapping relationship between the weather data associated with the registered user and the travel policy prestored in the memory;
  • the mobile terminal controls the AI module to use the weather data as a query identifier, query the mapping relationship, and obtain a travel policy corresponding to the weather data.
  • the weather data can be used as the query identifier, and the query corresponds to the pre-stored weather data closest to the weather data.
  • the travel strategy is beneficial for pushing registered users to travel strategies suitable for the day's weather and suitable for registered users.
  • the foregoing mobile terminal controls the AI module to determine a travel policy corresponding to the weather data, including:
  • the mobile terminal controls the AI module to obtain the travel time of the registered user
  • the mobile terminal controls the AI module to determine weather data corresponding to the travel time in the weather data;
  • the mobile terminal controls the AI module to acquire the travel strategy corresponding to the extreme weather data when detecting that the weather data corresponding to the travel time matches the preset extreme weather data.
  • the travel time of the registered user may be the time when the registered user is outdoors, such as the time and duration of the registered user going to work, getting off work or going out at noon.
  • the time of obtaining the registered user may be determined according to the historical travel record of the registered user, or the travel time of the registered user may be obtained according to the daily plan of the registered user pre-existing the mobile terminal.
  • extreme weather can be extreme weather such as heavy rain, storm, blizzard, smog, etc.
  • the travel strategy corresponding to extreme weather includes notification messages for reminding users to carry protective equipment.
  • Protective equipment can be protective equipment such as umbrellas, raincoats, masks and rain boots. .
  • the mobile terminal acquires the travel time of the user, and then determines weather data corresponding to the travel time in the weather data, and acquires and extreme weather when detecting that the weather data corresponding to the travel time matches the preset extreme weather.
  • the corresponding travel strategy is conducive to protecting users' travel from extreme weather or reducing the impact of extreme weather on users' travel.
  • the foregoing mobile terminal controls the foregoing processor to output the travel strategy, including:
  • the mobile terminal controls the processor to display picture information including the travel policy; and/or,
  • the mobile terminal controls the processor to play voice information including the travel policy; and/or,
  • the mobile terminal controls the processor to output text information including the travel policy.
  • the processor outputs the registration strategy of the registered user, which may be in the form of a picture, a voice, or a text, and may be any one of the three methods, or may be These three ways are combined in any combination.
  • the travel policy of the registered user is output in different forms, which is beneficial for the registered user to obtain the travel strategy recommended by the mobile terminal for the mobile terminal.
  • the above method further includes:
  • the mobile terminal controls the AI module to receive a user image that is captured by the smart camera and includes image information of the registered user;
  • the mobile terminal controls the AI module to identify wearing information and collocation information in the user image
  • the mobile terminal controls the AI module to generate a travel strategy according to the wearing information and the collocation information;
  • the mobile terminal controls the AI module to establish and save a mapping relationship between the current weather data and the generated travel policy.
  • the mobile terminal is connected to the smart home system of the registered user, and the smart home system includes a smart camera, and the AI module can obtain the image of the user including the image information of the registered user captured by the smart camera.
  • the mobile terminal determines the travel strategy corresponding to the weather data, firstly generates a historical travel strategy of the registered user, saves the historical travel policy in the memory of the mobile terminal, and saves the current weather data and the generated travel strategy.
  • the mapping relationship between the two is beneficial to querying the travel strategy corresponding to the weather data for the query identifier according to the weather data.
  • the mobile terminal is a smart phone with an Android Android system installed
  • the system time is 7:30 in the morning
  • the preset time period is 7:30 to 8:00
  • the weather data is the average temperature of 26 degrees Celsius.
  • the smartphone control processor detects that the system time is 7:30, and 7:30 belongs to the preset time period of 7:30 to 8:00, and detects whether the user currently using the smart phone is a registered user.
  • the smart phone control detects that the current user is a registered user, the processor receives the weather data, and knows that the average daily temperature is 26 degrees Celsius, and sends a first instruction carrying the average temperature of the day to the AI module.
  • the smart phone control AI module determines the travel strategy according to the travel record of the user at an average temperature of 26 degrees Celsius, and sends a second instruction carrying the travel strategy to the processor.
  • the smartphone control processor receives the second instruction and outputs the travel strategy in the form of a picture.
  • the mobile terminal first controls the processor to detect whether the current user is a registered user when detecting that the system state of the mobile terminal meets the preset condition, and secondly, detecting that the current user is a registered user.
  • Receiving weather data from the weather application and transmitting a first instruction carrying the weather data to the AI module, and again, controlling the AI module to receive the first instruction, determining a travel strategy corresponding to the weather data, and performing the above processing
  • the device sends a second instruction carrying the above-mentioned travel strategy.
  • the control processor receives the second instruction and outputs the travel policy. Since the current user is a registered user, the appropriate travel policy associated with the registered user can be determined according to the weather data, thereby realizing personalized control of the registered user, which is convenient for the user to obtain the travel wearing and matching suggestions conveniently.
  • FIG. 3 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention.
  • the mobile terminal includes a processor and a manual.
  • An intelligent AI module a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the program comprising: Instruction of the step;
  • Controlling when detecting that the current user is a registered user, receiving the weather data from the weather application, and sending the first instruction carrying the weather data to the AI module;
  • the processor is controlled to receive the second instruction, and output the travel strategy.
  • the mobile terminal first controls the processor to detect whether the current user is a registered user when detecting that the system state of the mobile terminal meets the preset condition, and secondly, detecting that the current user is a registered user.
  • Receiving weather data from the weather application and transmitting a first instruction carrying the weather data to the AI module, and again, controlling the AI module to receive the first instruction, determining a travel strategy corresponding to the weather data, and performing the above processing
  • the device sends a second instruction carrying the above travel strategy, and finally, the control processor receives the second instruction and outputs the travel policy. Since the current user is a registered user, the appropriate travel policy associated with the registered user can be determined according to the weather data, thereby realizing personalized control of the registered user, which is convenient for the user to obtain the travel wearing and matching suggestions conveniently.
  • the mobile terminal further includes a memory, where the instruction in the foregoing AI module determines the travel policy corresponding to the weather data, the instruction in the program is specifically configured to: perform the following steps: controlling the AI module to acquire the memory Pre-stored mapping relationship between the weather data associated with the registered user and the travel policy; controlling the AI module to use the weather data as a query identifier, querying the mapping relationship, and acquiring a travel strategy corresponding to the weather data.
  • the instructions in the foregoing program are specifically configured to perform the following steps: controlling the AI module to obtain the travel time of the registered user; and controlling the AI The module determines the weather data corresponding to the travel time in the weather data; and controls the AI module to acquire the travel strategy corresponding to the extreme weather data when detecting that the weather data corresponding to the travel time matches the preset extreme weather data.
  • the instructions in the foregoing program are specifically configured to: perform the following steps: controlling the processor to display the picture information including the travel policy; and/or, controlling the foregoing The processor plays the voice information including the travel strategy described above; and/or controls the processor to output text information including the travel strategy.
  • the above program further includes instructions for: controlling the AI module to receive a user image from the smart camera that includes image information of the registered user; and controlling the AI module to identify the user image. Wearing the information and the collocation information; controlling the AI module to generate a travel strategy according to the wearing information and the collocation information; controlling the AI module to establish and save a mapping relationship between the current weather data and the generated travel strategy.
  • the mobile terminal includes corresponding hardware structures and/or software modules for performing various functions.
  • the present invention can be implemented in a combination of hardware or hardware and computer software in combination with the elements and algorithm steps of the various examples described in the embodiments disclosed herein. Whether a function is implemented in hardware or computer software to drive hardware depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods for implementing the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present invention.
  • the embodiment of the present invention may divide the functional unit into the mobile terminal according to the foregoing method example.
  • each functional unit may be divided according to each function, or two or more functions may be integrated into one processing unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present invention is schematic, and is only a logical function division, and the actual implementation may have another division manner.
  • FIG. 4 shows a block diagram of a possible functional unit composition of the mobile terminal involved in the above embodiment.
  • the mobile terminal 400 includes a first processing unit 402, a second processing unit 403, and a communication unit 404.
  • the first processing unit 402 and the second processing unit 403 are configured to perform control management on the actions of the mobile terminal.
  • the first processing unit 402 and the second processing unit 403 are configured to support the mobile terminal to perform steps S2A01-S2A04 in FIG. 2A and / or other processes for the techniques described herein.
  • the communication unit 404 is configured to support communication between the mobile terminal and other devices, or to support communication between the first processing unit 402 or the second processing unit 403 and peripheral devices (such as camera devices, fingerprint recognition devices, etc.) of the mobile terminal.
  • the mobile terminal may further include a storage unit 401 for storing program codes and data of the mobile terminal.
  • the first processing unit 402 is configured to detect whether the current user is a registered user when detecting that the system state of the mobile terminal meets the preset condition, and to use the foregoing communication when detecting that the current user is a registered user. Receiving, by the unit, weather data from the weather application, and transmitting, by the communication unit, the first instruction carrying the weather data to the second processing unit;
  • the second processing unit 403 is configured to receive the first instruction by the communication unit, determine a travel policy corresponding to the weather data, and send, by the communication unit, a second instruction that carries the travel policy to the processor;
  • the first processing unit 402 is further configured to receive the second instruction by using the communication unit, and output the travel policy.
  • the mobile terminal further includes a memory
  • the second processing unit 403 is specifically configured to: control the AI module to acquire the pre-stored user and the registered user in the memory, in the determining the travel policy corresponding to the weather data.
  • the mapping relationship between the associated weather data and the travel strategy; and the control AI module uses the weather data as the query identifier to query the mapping relationship, and obtain the travel strategy corresponding to the weather data.
  • the second processing unit 403 is specifically configured to: control the AI module to acquire the travel time of the registered user; and control the AI module to determine the foregoing The weather data corresponding to the travel time in the weather data; and the control AI module acquiring the travel strategy corresponding to the extreme weather data when detecting that the weather data corresponding to the travel time matches the preset extreme weather data.
  • the first processing unit 402 is specifically configured to: control the processor to display the picture information including the travel policy; and/or control the processor to play the foregoing travel. Voice information of the policy; and/or controlling the processor to output text information including the travel strategy described above.
  • the second processing unit 403 is further configured to control the AI module to receive a user image that is captured by the smart camera and includes image information of the registered user, and to control the AI module to identify the user image. Wearing information and collocation information; and controlling the AI module to generate a travel strategy according to the wearing information and the collocation information; and controlling the AI module to establish and save a mapping relationship between the current weather data and the generated travel strategy.
  • the first processing unit 402 and the second processing unit 403 may be a processor or a controller or an artificial intelligence AI module, and may be, for example, a central processing unit (CPU), a general purpose processor, and a digital signal processor (Digital). Signal Processor (DSP), Application-Specific Integrated Circuit (ASIC), Field Programmable Gate Array (FPGA) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It is possible to implement or carry out the various illustrative logical blocks, modules and circuits described in connection with the present disclosure.
  • the above processor and the above AI module may also be a combination of computing functions, such as one or more microprocessor combinations, a combination of a DSP and a microprocessor, and the like.
  • the communication unit 404 can be a transceiver, a transceiver circuit, an internal communication interface (a communication port between the processor and the peripheral), and the like, and the storage unit 401 can be a memory.
  • the embodiment of the present invention further provides another mobile terminal, including a general-purpose processor, where the general-purpose processor is used to:
  • the above general-purpose processor is a processing chip with data processing capability.
  • the mobile terminal first controls the processor to detect whether the current user is a registered user when detecting that the system state of the mobile terminal meets the preset condition, and secondly, detecting that the current user is a registered user.
  • Receiving weather data from the weather application and transmitting a first instruction carrying the weather data to the AI module, and again, controlling the AI module to receive the first instruction, determining a travel strategy corresponding to the weather data, and performing the above processing
  • the device sends a second instruction carrying the above-mentioned travel strategy.
  • the control processor receives the second instruction and outputs the travel policy. Since the current user is a registered user, the appropriate travel policy associated with the registered user can be determined according to the weather data, thereby realizing personalized control of the registered user, which is convenient for the user to obtain the travel wearing and matching suggestions conveniently.
  • the mobile terminal further includes a memory; in the foregoing determining the travel policy corresponding to the weather data, the general-purpose processor is specifically configured to: acquire weather data and travel associated with the registered user pre-stored in the memory. The mapping relationship between the policies; using the weather data as the query identifier, querying the mapping relationship, and obtaining the travel strategy corresponding to the weather data.
  • the general-purpose processor is specifically configured to: acquire a travel time of the registered user; and determine weather data corresponding to the travel time in the weather data; When it is detected that the weather data corresponding to the travel time matches the preset extreme weather data, the travel strategy corresponding to the extreme weather data is obtained.
  • the general-purpose processor is specifically configured to: display picture information including the travel policy; and/or play voice information including the travel policy; and/or output Contains text information for the above travel strategy.
  • the general-purpose processor is further configured to receive a user image that is captured by the smart camera and includes image information of the registered user, and identify wearing information and collocation information in the user image; and the wearing information and the collocation information according to the foregoing information. Generate a travel strategy; establish and save a mapping relationship between the current weather data and the travel strategy generated above.
  • the specific form of the AI module may be hardware and/or software.
  • the application processor and the AI module may be integrated settings, or may be separate settings, which are not limited herein.
  • the AI module When the AI module is integrated with the above application processor, if the application processor is a single core processor, the AI module may be an intelligent micro processing circuit in the application processor, and if the application processor is a multi-core processor, the AI module It can be a single intelligent microprocessor core in a multi-core processor or an intelligent microprocessor circuit in a microprocessor core.
  • the AI module may be any coprocessor (such as a baseband processor, a DSP, a power management chip, etc.) in the application processor platform architecture except the above application processor.
  • Intelligent unprocessed circuit or may be a new intelligent microprocessor in the application processor platform architecture other than the above application processor, or may be a newly set intelligent processing independent of the above application processor platform
  • the platform, and the intelligent processing platform includes at least one dedicated intelligent processor.
  • the intelligent processing platform is in communication with the application processor platform.
  • the intelligent processing platform can also be directly connected to a memory, a peripheral, or the like.
  • the embodiment of the present invention further provides another mobile terminal.
  • the mobile terminal can be any terminal device including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), a POS (Point of Sales), an in-vehicle computer, and the mobile terminal is used as a mobile phone as an example:
  • FIG. 5 is a block diagram showing a partial structure of a mobile phone related to a mobile terminal provided by an embodiment of the present invention.
  • the mobile phone includes: a radio frequency (RF) circuit 910, a memory 920, an input unit 930, a display unit 940, a sensor 950, an audio circuit 960, a wireless fidelity (WiFi) module 970, and a processor set. 980, and power supply 990 and other components.
  • RF radio frequency
  • the structure of the handset shown in FIG. 5 does not constitute a limitation to the handset, and may include more or less components than those illustrated, or some components may be combined, or different components may be arranged.
  • the processor set 980 is a control center of the mobile phone, and includes a processor 981 and an artificial intelligence AI module 982.
  • the processor 981 is connected to the AI module 982.
  • the processor 981 and the AI module 982 connect various parts of the entire mobile phone through various interfaces and lines.
  • the software program and/or module stored in the memory 920 is executed or executed, and the data stored in the memory 920 is called, and various functions and processing data of the mobile phone are executed to thereby perform overall monitoring of the mobile phone. Specifically, it can be used to perform the following steps:
  • the processor 981 detects whether the current user is a registered user when detecting that the system state of the mobile terminal meets a preset condition; and the processor 981 receives weather data from the weather application when detecting that the current user is a registered user, and Transmitting, to the AI module 982, a first instruction carrying the weather data; the AI module 982 receiving the first instruction, determining a travel policy corresponding to the weather data, and transmitting, to the processor 981, a second carrying the travel policy The processor 981 receives the second instruction and outputs the travel policy.
  • the processor 981 and the AI module 982 may include one or more processing units; preferably, the processor 981 may integrate an application processor and a modem processor, where the application processor mainly processes an operating system and a user interface. And applications, etc., the modem processor primarily handles wireless communications. It can be understood that the above modem processor may not be integrated into the processor 981.
  • the RF circuit 910 can be used for receiving and transmitting information.
  • RF circuit 910 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like.
  • LNA Low Noise Amplifier
  • RF circuitry 910 can also communicate with the network and other devices via wireless communication.
  • the above wireless communication may use any communication standard or protocol, including but not limited to Global System of Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (Code Division). Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), E-mail, Short Messaging Service (SMS), and the like.
  • GSM Global System of Mobile communication
  • GPRS General Packet Radio Service
  • CDMA Code Division Multiple Access
  • WCDMA Wideband Code Division Multiple Access
  • LTE Long Term Evolution
  • E-mail Short Messaging Service
  • the memory 920 can be used to store software programs and modules, and the processor 981 and the AI module 982 perform various functional applications and data processing of the mobile phone by running software programs and modules stored in the memory 920.
  • the memory 920 can mainly include a storage program area and a storage data area, wherein the storage program area can store an operating system, an application required for at least one function, and the like; the storage data area can store data created according to the use of the mobile phone (such as an application). Use parameters, etc.).
  • memory 920 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
  • the input unit 930 can be configured to receive input numeric or character information and to generate key signal inputs related to user settings and function controls of the handset.
  • the input unit 930 may include a fingerprint sensor 931 and other input devices 932.
  • the fingerprint sensor 931 can collect fingerprint data of the user.
  • the input unit 930 may also include other input devices 932.
  • the other input device 932 may include, but is not limited to, one or more of a touch screen, a physical button, a function key (such as a volume control button, a switch button, etc.), a trackball, a mouse, a joystick, and the like.
  • the display unit 940 can be used to display information input by the user or information provided to the user as well as various menus of the mobile phone.
  • the display unit 940 can include a display screen 941.
  • the display screen 941 can be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.
  • the fingerprint sensor 931 and the display screen 941 function as two separate components to implement the input and input functions of the mobile phone, in some embodiments, the fingerprint sensor 931 can be integrated with the display screen 941 to implement the mobile phone. Input and playback features.
  • the handset may also include at least one type of sensor 950, such as a light sensor, motion sensor, and other sensors.
  • the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display screen 941 according to the brightness of the ambient light, and the proximity sensor may turn off the display screen 941 and/or when the mobile phone moves to the ear. Or backlight.
  • the accelerometer sensor can detect the magnitude of acceleration in all directions (usually three axes). When it is stationary, it can detect the magnitude and direction of gravity.
  • the mobile phone can be used to identify the gesture of the mobile phone (such as horizontal and vertical screen switching, related Game, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc.; as for the mobile phone can also be configured with gyroscopes, barometers, hygrometers, thermometers, infrared sensors and other sensors, no longer Narration.
  • the gesture of the mobile phone such as horizontal and vertical screen switching, related Game, magnetometer attitude calibration
  • vibration recognition related functions such as pedometer, tapping
  • the mobile phone can also be configured with gyroscopes, barometers, hygrometers, thermometers, infrared sensors and other sensors, no longer Narration.
  • An audio circuit 960, a speaker 961, and a microphone 962 can provide an audio interface between the user and the handset.
  • the audio circuit 960 can transmit the converted electrical data of the received audio data to the speaker 961 for conversion to the sound signal by the speaker 961; on the other hand, the microphone 962 converts the collected sound signal into an electrical signal by the audio circuit 960. After receiving, it is converted into audio data, and then processed by the audio data playing processor 981, sent to the other mobile phone via the RF circuit 910, or the audio data is played to the memory 920 for further processing.
  • WiFi is a short-range wireless transmission technology
  • the mobile phone can help users to send and receive emails, browse web pages, and access streaming media through the WiFi module 970, which provides users with wireless broadband Internet access.
  • FIG. 5 shows the WiFi module 970, it can be understood that it does not belong to the essential configuration of the mobile phone, and may be omitted as needed within the scope of not changing the essence of the invention.
  • the handset also includes a power source 990 (such as a battery) that powers the various components.
  • a power source can be logically coupled to the processor set 980 via a power management system to manage charging, discharging, and power management functions through the power management system.
  • the mobile phone may further include a camera, a Bluetooth module, and the like, and details are not described herein again.
  • each step method flow can be implemented based on the structure of the mobile phone.
  • each unit function can be implemented based on the structure of the mobile phone.
  • the embodiment of the present invention further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program causing the computer to perform some or all of the steps of any of the methods described in the foregoing method embodiments.
  • the above computer includes a mobile terminal.
  • the embodiment of the present invention further provides a computer program product, the computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause the computer to execute any one of the methods described in the foregoing method embodiments Part or all of the steps of the method.
  • the computer program product can be a software installation package, and the computer includes a mobile terminal.
  • the disclosed apparatus may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the above units is only a logical function division. In actual implementation, there may be another division manner. For example, multiple units or components may be combined or integrated. Go to another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical or otherwise.
  • the units described above as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, i.e., may be located in one place, or may be distributed over multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the above-described integrated unit can be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a standalone product. Based on such understanding, the technical solution of the present invention may contribute to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a memory. A number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the above-described methods of various embodiments of the present invention.
  • the foregoing memory includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like, which can store program codes.
  • ROM Read-Only Memory
  • RAM Random Access Memory

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Abstract

Les modes de réalisation de la présente invention concernent un procédé de traitement d'informations et un procédé de produit associé. Le procédé est appliqué à un terminal mobile comprenant un processeur et un module d'intelligence artificielle (AI). Le procédé comprend les étapes suivantes : lorsqu'il est détecté que l'état de système d'un terminal mobile satisfait à une condition prédéfinie, commander un processeur pour détecter si un utilisateur actuel est un utilisateur enregistré ; lorsqu'il est détecté que l'utilisateur actuel est un utilisateur enregistré, commander le processeur de façon à recevoir des données météorologiques en provenance d'une application météorologique et envoyer à un module AI une première instruction transportant les données météorologiques ; commander le module AI de façon à recevoir la première instruction, déterminer une stratégie de déplacement correspondant aux données météorologiques et envoyer au processeur une seconde instruction transportant la stratégie de déplacement ; et commander le processeur de façon à recevoir la seconde instruction et délivrer en sortie la stratégie de déplacement. Les modes de réalisation de la présente invention aident à pousser une stratégie de déplacement appropriée à des utilisateurs.
PCT/CN2018/086353 2017-05-26 2018-05-10 Procédé de traitement d'informations et produit associé WO2018214744A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112487602A (zh) * 2020-09-30 2021-03-12 深圳市为汉科技有限公司 扰动模拟策略的生成方法及相关装置

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107295163A (zh) * 2017-05-26 2017-10-24 广东欧珀移动通信有限公司 信息处理方法及相关产品
US10747631B2 (en) * 2018-01-19 2020-08-18 DinoplusAI Holdings Limited Mission-critical AI processor with record and replay support
WO2019169679A1 (fr) * 2018-03-05 2019-09-12 Oppo广东移动通信有限公司 Procédé de transmission d'informations de terminal et produits associés
CN115076988A (zh) * 2022-05-25 2022-09-20 青岛海尔空调器有限总公司 一种智能空调的监控方法、装置、设备及存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101754460A (zh) * 2009-12-25 2010-06-23 宇龙计算机通信科技(深圳)有限公司 一种天气预报提醒方法、装置及移动终端
CN106094058A (zh) * 2016-05-27 2016-11-09 珠海市魅族科技有限公司 一种天气预报方法及装置
CN106375577A (zh) * 2016-08-31 2017-02-01 珠海市魅族科技有限公司 日历提醒方法及装置
CN106488037A (zh) * 2016-11-29 2017-03-08 北京小米移动软件有限公司 日程提醒方法及装置
CN107295163A (zh) * 2017-05-26 2017-10-24 广东欧珀移动通信有限公司 信息处理方法及相关产品

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101917515A (zh) * 2010-08-12 2010-12-15 惠州Tcl移动通信有限公司 一种移动终端及其温度提示方法和装置
US9124998B2 (en) * 2012-03-20 2015-09-01 Samsung Electronics Co., Ltd. Smart alarm

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101754460A (zh) * 2009-12-25 2010-06-23 宇龙计算机通信科技(深圳)有限公司 一种天气预报提醒方法、装置及移动终端
CN106094058A (zh) * 2016-05-27 2016-11-09 珠海市魅族科技有限公司 一种天气预报方法及装置
CN106375577A (zh) * 2016-08-31 2017-02-01 珠海市魅族科技有限公司 日历提醒方法及装置
CN106488037A (zh) * 2016-11-29 2017-03-08 北京小米移动软件有限公司 日程提醒方法及装置
CN107295163A (zh) * 2017-05-26 2017-10-24 广东欧珀移动通信有限公司 信息处理方法及相关产品

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112487602A (zh) * 2020-09-30 2021-03-12 深圳市为汉科技有限公司 扰动模拟策略的生成方法及相关装置
CN112487602B (zh) * 2020-09-30 2023-12-05 深圳市为汉科技有限公司 扰动模拟策略的生成方法及相关装置

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