WO2018214744A1

WO2018214744A1 - Information processing method and related product

Info

Publication number: WO2018214744A1
Application number: PCT/CN2018/086353
Authority: WO
Inventors: 白剑
Original assignee: Oppo广东移动通信有限公司
Priority date: 2017-05-26
Filing date: 2018-05-10
Publication date: 2018-11-29
Also published as: CN107295163A

Abstract

Disclosed in embodiments of the present invention are an information processing method and a relative product method. The method is applied to a mobile terminal comprising a processor and an artificial intelligence (AI) module. The method comprises: when it is detected that the system state of a mobile terminal satisfies a preset condition, controlling a processor to detect whether a current user is a registered user; when it is detected that the current user is a registered user, controlling the processor to receive weather data from a weather application, and sending, to an AI module, a first instruction carrying the weather data; controlling the AI module to receive the first instruction, and determining a travel strategy corresponding to the weather data, and send, to the processor, a second instruction carrying the travel strategy; and controlling the processor to receive the second instruction, and outputting the travel strategy. The embodiments of the present invention help to push a proper travel strategy to users.

Description

Information processing method and related products

Technical field

The present invention relates to the field of mobile terminal technologies, and in particular, to an information processing method and related products.

Background technique

With the widespread use of smartphones, smartphones can support more and more applications and become more powerful. Smartphones are becoming more and more indispensable in the life of users.

Currently, users can check the weather data of the day through the weather app in the mobile phone before going out, so as to decide the appropriate dressing and matching.

Summary of the invention

The embodiment of the invention provides an information processing method and related products, which can push a suitable travel strategy for a user.

In a first aspect, 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.

In a second aspect, 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.

In a third aspect, 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. In one possible design, 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. Further, the mobile terminal may further include a communication interface for supporting communication between the mobile terminal and other devices. Further, 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.

In a fourth aspect, 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.

In a fifth aspect, 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. In some or all of the steps described in any of the methods, the computer comprises a mobile terminal.

In a sixth aspect, 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.

It can be seen that, in the embodiment of the present invention, 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.

DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and other drawings can be obtained from those skilled in the art without any creative work.

1A is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention;

1B is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention;

2A is a schematic flowchart of an information processing method according to an embodiment of the present invention;

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;

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.

detailed description

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is a partial embodiment of the invention, and not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

The terms "first", "second" and the like in the specification and claims of the present invention and the above drawings are used to distinguish different objects, and are not intended to describe a specific order. Furthermore, the terms "comprises" and "comprising" and "comprising" are intended to cover a non-exclusive inclusion. For example, a process, method, system, product, or device that comprises a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units not listed, or alternatively Other steps or units inherent to these processes, methods, products, or equipment.

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. For convenience of description, 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. When the AI module includes a hardware form, the application processor and the AI module may be integrated or separated. Settings, not limited here.

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.

When the AI module integration is separated from the above application processor, 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. Optionally, the intelligent processing platform can also be directly connected to a memory, a peripheral, or the like.

The embodiments of the present invention are described below with reference to the accompanying drawings.

Referring to FIG. 1A, 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.

In a possible example, as shown in FIG. 1B, the mobile terminal 100 further includes a memory 140. In the foregoing determining the travel policy corresponding to the weather data, 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.

It can be seen that, in this example, because the mapping relationship between the weather data and the travel policy is pre-stored in the memory, and is associated with the registered user, 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.

In a possible example, in the foregoing determining the travel policy corresponding to the weather data, 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.

It can be seen that, in this example, 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.

In one possible example, in the foregoing outputting the foregoing travel strategy, 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.

It can be seen that in this example, 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.

In one possible example, 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.

It can be seen that, in this example, 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. As shown in the figure, the information processing method includes:

S2A01, 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.

S2A02, 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.

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.

S2A03, 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.

S2A04, the mobile terminal controls the processor to receive the second instruction, and output the travel policy.

It can be seen that, in the embodiment of the present invention, 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.

In a possible example, 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.

It can be seen that, in this example, because the mapping relationship between the weather data and the travel policy is pre-stored in the memory, and is associated with the registered user, 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.

In a possible example, 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.

Among them, 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. .

In a possible example, 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.

In one possible example, 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 embodiments of the present invention are further described below in conjunction with specific scenarios. As shown in FIG. 2B, it is assumed that 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, and the weather data is the average temperature of 26 degrees Celsius.

The information processing method disclosed in the embodiment of the present invention specifically includes the following steps:

S2B01, 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.

S2B02, 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.

S2B03, after receiving the first instruction, 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.

S2B04, the smartphone control processor receives the second instruction and outputs the travel strategy in the form of a picture.

It can be seen that, in the embodiment of the present invention, 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. 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.

FIG. 3 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention. As shown in the figure, 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, by the processor, detecting whether the current user is a registered user when detecting that the system state of the mobile terminal meets a preset condition;

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;

Controlling the AI module to receive the first instruction, determining a travel policy corresponding to the weather data, and sending a second instruction carrying the travel policy to the processor;

The processor is controlled to receive the second instruction, and output the travel strategy.

In a possible example, 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.

In one possible example, in the above-mentioned control of the AI module to determine the travel policy 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.

In one possible example, in the foregoing controlling the processor to output the travel strategy, 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.

In one possible example, 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 above description mainly introduces the solution of the embodiment of the present invention from the perspective of the method side execution process. It can be understood that, in order to implement the above functions, the mobile terminal includes corresponding hardware structures and/or software modules for performing various functions. Those skilled in the art will readily appreciate that 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. For 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.

In the case of employing an integrated unit, 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. For example, 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.

In a possible example, the mobile terminal further includes a memory, and 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.

In a possible example, in the foregoing determining the travel policy 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.

In a possible example, in the foregoing outputting the foregoing travel strategy, 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.

In a possible example, 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:

When detecting that the system state of the mobile terminal meets the preset condition, detecting whether the current user is a registered user;

Receiving, when the current user is a registered user, receiving weather data from the weather application, and transmitting a first instruction carrying the weather data;

Receiving the first instruction, determining a travel policy corresponding to the weather data, and transmitting a second instruction carrying the travel policy;

Receiving the second instruction and outputting the travel strategy.

Wherein, the above general-purpose processor is a processing chip with data processing capability.

In a possible example, 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.

In a possible example, in the foregoing determining 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.

In one possible example, in the foregoing outputting the foregoing travel strategy, 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.

In a possible example, 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. When the AI module includes the hardware form, the application processor and the AI module may be integrated settings, or may be separate settings, which are not limited herein.

The embodiment of the present invention further provides another mobile terminal. As shown in FIG. 5, for the convenience of description, only parts related to the embodiment of the present invention are shown. If the specific technical details are not disclosed, refer to the method of the embodiment of the present invention. section. 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. Referring to FIG. 5, 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. It will be understood by those skilled in the art that 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 following describes the components of the mobile phone in detail with reference to FIG. 5:

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.

Optionally, 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. Generally, 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. In addition, 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.

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.). Moreover, 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. Specifically, 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. In addition to the fingerprint sensor 931, the input unit 930 may also include other input devices 932. Specifically, 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. Alternatively, 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. Although in FIG. 5, 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. Specifically, 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. As a kind of motion sensor, 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. It 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.

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, and 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. Although 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. Preferably, the 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.

Although not shown, the mobile phone may further include a camera, a Bluetooth module, and the like, and details are not described herein again.

In the foregoing embodiment shown in FIG. 2A and FIG. 2B, each step method flow can be implemented based on the structure of the mobile phone.

In the foregoing embodiment shown in FIG. 4, 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.

It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should understand that the present invention is not limited by the described action sequence. Because certain steps may be performed in other sequences or concurrently in accordance with the present invention. In addition, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

In the above embodiments, the descriptions of the various embodiments are different, and the details that are not detailed in a certain embodiment can be referred to the related descriptions of other embodiments.

In the several embodiments provided herein, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, 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. In addition, 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.

In addition, 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.

A person skilled in the art can understand that all or part of the steps of the foregoing embodiments can be completed by a program to instruct related hardware, and the program can be stored in a computer readable memory, and the memory can include: a flash drive , read-only memory (English: Read-Only Memory, referred to as: ROM), random accessor (English: Random Access Memory, referred to as: RAM), disk or CD.

The embodiments of the present invention have been described in detail above, and the principles and implementations of the present invention are described in detail herein. The description of the above embodiments is only for helping to understand the method of the present invention and its core ideas; The present invention is not limited by the scope of the present invention, and the present invention is not limited by the scope of the present invention.

Claims

A mobile terminal, comprising: a processor, an artificial intelligence AI module, wherein the processor is connected to the AI module, wherein

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 that carries 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 policy.
The mobile terminal according to claim 1, wherein the mobile terminal further comprises a memory; in the determining the travel policy corresponding to the weather data, the AI module is specifically configured to: acquire the memory in the memory a mapping relationship between the weather data and the travel policy associated with the registered user; and for using the weather data as a query identifier, querying the mapping relationship, and acquiring a travel strategy corresponding to the weather data.
The mobile terminal according to claim 1, wherein in the determining a travel policy corresponding to the weather data, the AI module is specifically configured to: acquire a travel time of the registered user; and determine the location And the weather data corresponding to the travel time in the weather data; and configured to acquire 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 according to any one of claims 1 to 3, wherein, in the outputting the travel policy, the processor is specifically configured to: display picture information including the travel policy; and/or Playing the voice information including the travel strategy; and/or outputting text information including the travel strategy.
The mobile terminal according to any one of claims 1 to 4, wherein the AI module is further configured to receive a user image captured by a smart camera and include image information of the registered user; and to identify the Wear information and collocation information in the user image; and for generating a travel strategy based on the wear information and the collocation information; and for establishing and saving a mapping relationship between the current weather data and the generated travel strategy.
An information processing method is applied to a mobile terminal including a processor and an artificial intelligence AI module, and the 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 a 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.
The method of claim 6, wherein the mobile terminal further comprises a memory, the mobile terminal controlling the AI module to determine a travel strategy corresponding to the weather data, comprising:

The mobile terminal controls the AI module to acquire a mapping relationship between weather data and a travel policy associated with the registered user pre-stored 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 method according to claim 6, wherein the controlling, by the mobile terminal, the AI module to determine a travel strategy corresponding to the weather data comprises:

The mobile terminal controls the AI module to acquire a 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 a 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 method according to any one of claims 6 to 8, wherein the controlling, by the mobile terminal, the processor to output the travel strategy comprises:

The mobile terminal controls the processor to display picture information including the travel strategy; 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 strategy.
The method according to any one of claims 6 to 9, wherein the method further comprises:

The mobile terminal controls the AI module to receive a user image captured by a smart camera and containing 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 current weather data and the generated travel policy.
A mobile terminal, comprising: a first processing unit, a second processing unit, and a communication unit,

The first processing unit 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, and to use the 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 is configured to receive, by the communication unit, the first instruction, determine a travel policy corresponding to the weather data, and send, by the communication unit, the second carrying the travel policy to the instruction;

The first processing unit is further configured to receive the second instruction by using the communication unit, and output the travel policy.
The mobile terminal according to claim 11, wherein in the determining the travel policy corresponding to the weather data, the second processing unit is specifically configured to: acquire a travel time of the registered user; Determining weather data corresponding to the travel time in the weather data; and acquiring travel corresponding to the extreme weather data when detecting that weather data corresponding to the travel time matches preset weather data Strategy.
The mobile terminal according to claim 11 or 12, wherein, in the outputting the travel policy, the first processing unit is specifically configured to: display picture information including the travel policy; and/or, Playing the voice information including the travel strategy; and/or outputting text information including the travel strategy.
The mobile terminal according to any one of claims 11 to 13, wherein the second processing unit is further configured to receive a user image captured by the smart camera and include image information of the registered user; and Wearing information and collocation information in the user image; and generating a travel strategy according to the wearing information and the collocation information; and establishing and saving a mapping relationship between the current weather data and the generated travel strategy.
A mobile terminal, comprising: a general purpose processor, the general purpose processor is configured to:

When detecting that the system state of the mobile terminal meets a preset condition, detecting whether the current user is a registered user;

Receiving, when the current user is a registered user, receiving weather data from the weather application, and transmitting a first instruction carrying the weather data;

Receiving the first instruction, determining a travel policy corresponding to the weather data, and transmitting a second instruction carrying the travel strategy;

Receiving the second instruction, outputting the travel strategy.
The mobile terminal according to claim 15, wherein the mobile terminal further comprises a memory; and in determining the travel strategy corresponding to the weather data, the general-purpose processor is specifically configured to: acquire the pre-stored in the memory a mapping relationship between the weather data and the travel policy associated with the registered user; using the weather data as a query identifier, querying the mapping relationship, and acquiring a travel strategy corresponding to the weather data.
The mobile terminal according to claim 15, wherein the general-purpose processor is specifically configured to: acquire a travel time of the registered user, and determine the travel policy corresponding to the weather data; Weather data corresponding to the travel time in the weather data; and for acquiring a travel strategy corresponding to the extreme weather data when detecting that weather data corresponding to the travel time matches preset extreme weather data .
The mobile terminal according to any one of claims 15 to 17, wherein the general-purpose processor comprises an application processor and an AI module, the AI module is set independently of the application processor, and the AI module is used by the AI module. And: performing any of the steps performed by the general purpose processor as described.
A mobile terminal, comprising: 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 configured by The processor and the AI module are executed, the program comprising instructions for performing the steps of the method of any of claims 6-10.
A computer readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method of any one of claims 6-10, the computer comprising Mobile terminal.