CN106815077B - Data processing method based on intelligent device architecture and intelligent device - Google Patents

Abstract

The embodiment of the present invention discloses a data processing method based on a smart device architecture, and a smart device. The smart device includes: a central processing unit and peripheral smart hardware. The method includes: the peripheral smart hardware independently executes a first Application processing. The peripheral intelligent hardware completes the application processing independently, and the processing process is no longer subject to the control of the CPU, and it is no longer necessary to initiate operations such as interrupts to the CPU, so that the work of the CPU is deployed to the hardware with intelligent functions. On the other hand, it reduces the interruption of the CPU, so it can reduce the load of the CPU and improve the efficiency of the entire smart computer system.

Description

A data processing method based on smart device architecture, and smart device

technical field

The invention relates to the field of computer technology, in particular to a data processing method based on an intelligent device architecture, and an intelligent device.

Background technique

The full name of an application processor (Application Processor, AP) is a multimedia application processor (Multimedia Application Processor, MAP).

An application processor is a very large-scale integrated circuit that extends audio and video functions and dedicated interfaces on the basis of a low-power central processing unit (Central Processing Unit, CPU). MAP is produced along with smart phones. Ordinary mobile phones only have the function of sending and receiving calls and text messages. It is more precisely called a voice compression wireless transceiver.

The technical core of the non-smartphone processor is a voice compression chip, called the baseband processor. The voice is compressed when sending, and decompressed when receiving. The transmission rate is only a few tenths of uncompressed, and more people can be served under the same bandwidth.

In addition to communication functions, smart phones have also added functions such as digital cameras, music players, broadcast reception, and video image playback. Baseband processors have no ability to handle these newly added functions. In addition, the processing method of video and audio (high-fidelity music) is different from that of voice. As long as the voice can be understood, it is enough to achieve the purpose of conveying information. The video requires bright color images and pleasant stereo sound, so that people can get the maximum sensory enjoyment. In order to realize these functions, another coprocessor is needed to deal with these signals specially, which is the application processor.

Therefore, in a smart phone, the application processor has modules for the entire smart phone application, such as: modem (modem), wireless fidelity (WIFI), etc.; in the smart phone, there are also functional modules such as power supply modules, video modules, etc. . These function modules are all allocated by the CPU, and the execution of these function modules will initiate CPU interrupts, resulting in a large CPU load and low efficiency of the entire system.

SUMMARY OF THE INVENTION

Embodiments of the present invention provide a data processing method based on an intelligent device architecture, and an intelligent device, which are used to reduce the load of the CPU and improve the efficiency of the entire intelligent computer system.

On the one hand, an embodiment of the present invention provides a data processing method based on a smart device architecture, where the smart device includes: a central processing unit and peripheral smart hardware, and the method includes:

The peripheral intelligent hardware independently executes the first application processing, and after the peripheral intelligent hardware independently executes the first application processing and obtains the result data, the result data is fed back to the central processing unit;

The central processing unit executes the second application process after receiving the result data.

In an optional implementation manner, the peripheral intelligent hardware includes at least one of a modem, a radio frequency module, a power supply module, and a wireless communication chip.

In an optional implementation manner, the peripheral intelligent hardware is the modem, and the peripheral intelligent hardware independently executing the first application processing includes:

After receiving the analog signal, the modem demodulates the analog signal to obtain a digital signal, and performs application processing on the digital signal;

Alternatively, after receiving the digital signal, the modem performs an application processing function to obtain result data, and modulates the result data to obtain an analog signal.

In an optional implementation manner, the independent execution of the first application processing by the peripheral intelligent hardware includes:

The modem performs information filtering processing.

In an optional implementation manner, the peripheral intelligent hardware is a radio frequency module, and the peripheral intelligent hardware independently executing the first application processing includes:

The radio frequency module monitors its own load, and reduces the power of the radio frequency module when the load is less than a preset threshold.

In an optional implementation manner, the peripheral intelligent hardware is a wireless communication chip, and the independent execution of the first application processing by the peripheral intelligent hardware includes: the wireless communication chip performs information filtering processing.

In an optional implementation manner, the peripheral intelligent hardware is a power module, and the peripheral intelligent hardware independently executing the first application processing includes:

The power supply module monitors the load and power consumption of each hardware module, and adjusts the power supply to each hardware module according to the load and power consumption.

In the second aspect, an embodiment of the present invention further provides an intelligent device, including: a central processing unit, and peripheral intelligent hardware,

Wherein, the peripheral intelligent hardware is used to independently execute the first application processing, and after the peripheral intelligent hardware independently executes the first application processing and obtains the result data, the result data is fed back to the central processing unit;

The central processing unit is configured to execute second application processing after receiving the result data.

In an optional implementation manner, the peripheral intelligent hardware includes at least one of a modem, a radio frequency module, a power supply module, and a wireless communication chip.

In an optional implementation manner, the peripheral intelligent hardware is the modem;

the modem, for demodulating the analog signal to obtain a digital signal after receiving the analog signal, and performing application processing on the digital signal;

Alternatively, the modem is configured to, after receiving the digital signal, perform an application processing function to obtain the resultant data, and then modulate the resultant data to obtain the analog signal.

In an optional implementation manner, the peripheral intelligent hardware for independently executing the first application processing includes:

The modem is used to perform information filtering processing.

In an optional implementation manner, the peripheral intelligent hardware is a radio frequency module, and the peripheral intelligent hardware is used for independently executing the first application processing including:

The radio frequency module is configured to monitor its own load, and reduce the power of the radio frequency module when the load is less than a preset threshold.

In an optional implementation manner, the peripheral intelligent hardware is a wireless communication chip, and the peripheral intelligent hardware is used for independently executing the first application processing including:

The wireless communication chip is used for performing information filtering processing.

In an optional implementation manner, the peripheral intelligent hardware is a power supply module, and the peripheral intelligent hardware is configured to independently execute the first application processing including:

The power supply module is used to monitor the load and power consumption of each hardware module, and adjust the power supply to each hardware module according to the load and power consumption.

Three aspects The embodiment of the present invention further provides another intelligent device, including: peripheral intelligent hardware and a central processing unit, the central processing unit and the peripheral intelligent hardware are connected in a communicable manner;

Wherein, the peripheral intelligent hardware has part or all of the application processing functions of the central processing unit.

It can be seen from the above technical solutions that the embodiments of the present invention have the following advantages: the application processing is independently performed by peripheral intelligent hardware other than the central processing unit or the application processor, and is no longer controlled by the CPU, and is completed independently by the peripheral intelligent hardware Application processing, in the process of processing, is no longer subject to the control of the CPU, and it is no longer necessary to initiate operations such as interrupts to the CPU, so that the work of the CPU is deployed to hardware with intelligent functions. In terms of reducing the interruption of the CPU, it can reduce the load of the CPU and improve the efficiency of the entire smart computer system.

Description of drawings

1 is a schematic flowchart of a method according to an embodiment of the present invention;

2 is a schematic structural diagram of a smart device according to an embodiment of the present invention;

FIG. 3 is a schematic structural diagram of a smart device according to an embodiment of the present invention.

Detailed ways

An embodiment of the present invention provides a data processing method based on a smart device architecture. The smart device includes: a central processing unit and peripheral smart hardware. The central processing unit and the peripheral smart hardware are connected in a communicable manner. The above method Including: the above-mentioned peripheral intelligent hardware independently executes the first application processing. In this embodiment, the first application processing and the second application processing should be understood as application processing functions, which refer to the application processing functions uniformly executed by the central processing unit in the technical field before the invention of the embodiment. Peripheral intelligent hardware is hardware independent of the central processing unit. The peripheral intelligent hardware can complete application processing independently, and then the result can be sent to the central processing unit or not to the central processing unit, and fed back to other peripheral intelligent hardware. Based on this, an embodiment of the present invention also provides a method as shown in FIG. 1 , and the above method includes:

101: The above-mentioned peripheral intelligent hardware independently executes the first application processing, and after the above-mentioned peripheral intelligent hardware independently executes the first application processing and obtains the result data, the above-mentioned result data is fed back to the above-mentioned central processing unit;

Peripheral intelligent hardware refers to hardware independent of the central processing unit, which can be a radio frequency module, power management module, audio processor, image processor, wireless communication chip, etc.; application processing refers to the processing of applications that would originally be controlled and executed by the CPU . Independent execution refers to a processing method that does not start or end under the control of the CPU, and does not need to interrupt the CPU to request corresponding processing resources in the process of executing data processing. Therefore, the peripheral intelligent hardware can be regarded as a hardware device that independently implements the function of processing the first application. In this embodiment, the central processing unit may include a low-power CPU and a MAP, both of which may adopt an integrated architecture. This embodiment focuses on the deployment of application functions of other functional hardware.

102: The central processing unit executes the second application process after receiving the result data.

After the peripheral intelligent hardware is executed, it will get the corresponding result data. After the result data is obtained, the result data can be fed back to the CPU, and the CPU will execute the subsequent application functions; the second application processing can only record the results, or is other processing, which is not limited in this embodiment of the present invention.

In this embodiment, the application processing is independently performed by peripheral intelligent hardware other than the central processing unit or the application processor, and is no longer controlled by the CPU. Due to the control of the CPU, it is no longer necessary to initiate operations such as interrupts to the CPU, so that the work of the CPU is deployed to the hardware with intelligent functions. The CPU load improves the efficiency of the entire smartphone system.

In an optional implementation manner, this embodiment of the present invention also provides optional deployment points for peripheral intelligent hardware, which are specifically as follows: the above-mentioned peripheral intelligent hardware includes: a modem, a radio frequency module, a power supply module, and at least one of a wireless communication chip item.

It should be noted that in smart devices, in addition to processing the above modems, radio frequency modules, power modules, and wireless communication chips, there will also be image processing, Bluetooth modules, positioning modules, and many other chips that can be intelligent. The above examples should not be used. It is understood as a unique limitation to the embodiments of the present invention.

In an optional implementation manner, based on the above optional deployment points for peripheral intelligent hardware, the embodiment of the present invention provides an example of corresponding application processing, which is specifically as follows: the above-mentioned peripheral intelligent hardware is the above-mentioned modem, and the above-mentioned peripheral intelligent hardware is independent Executing the first application process includes:

After receiving the analog signal, the modem demodulates the analog signal to obtain a digital signal, and performs application processing on the digital signal;

Alternatively, after receiving the digital signal, the above-mentioned modem executes the application processing function to obtain the resultant data, and modulates the above-mentioned resultant data to obtain the analog signal.

In this embodiment of the present invention, since the function of the modem is to convert a digital signal into an analog signal, or convert an analog signal into a digital signal, after receiving a digital signal or converting an analog signal into a digital signal, the modem can already obtain the The content of the information can perform certain data processing functions at this time, such as information filtering, data compression and transmission, etc. This is not uniquely limited in this embodiment of the present invention.

In an optional implementation manner, based on the specific application scenario in which the peripheral intelligent hardware is a modem, the embodiment of the present invention also provides a specific example of the first application processing: the above-mentioned peripheral intelligent hardware independently executing the first application processing includes:

The above-mentioned modem performs information filtering processing.

In this embodiment, the information filtering may be spam filtering, and the specific implementation of filtering may be: for example, spam short messages, broadcast data packets, advertising traffic, etc. from some wireless networks can be directly filtered.

The filtering method may be to directly look at the prohibition of broadcast data packets, the black and white list of Internet Protocol (Internet Protocol, IP) addresses, or to set filtering rules.

In addition, intelligent analysis of content big data can also be used to realize information filtering. This is because the Modem can parse out the content of the data packet and the application of the purpose of the data packet to the upper layer, and a filtering mechanism can be established through these rules. By filtering unnecessary information, the number and time that the Modem wakes up the AP can be reduced.

In an optional implementation manner, based on the above optional deployment points for peripheral intelligent hardware, the embodiment of the present invention provides an example of corresponding application processing, which is specifically as follows: the above-mentioned peripheral intelligent hardware is a radio frequency module, and the above-mentioned peripheral intelligent hardware is independent Executing the first application process includes:

The radio frequency module monitors its own load, and reduces the power of the radio frequency module when the load is less than a preset threshold.

In the embodiment of the present invention, since the radio frequency module is the hardware that generates radio frequency signals, it is most aware of the current data transmission load of the current smart device, so it can be considered to complete the control of its own functions independently, and it is not necessary to interrupt the AP or the CPU. After the adjustment of its own power, the AP or CPU can be notified of the adjustment result. If the AP or CPU does not accept the adjustment, it can also issue an instruction to increase the power again, so that the radio module can increase the power. In this embodiment, the radio frequency module implements power consumption control, which can reduce interruptions to the CPU and AP, make power consumption adjustment more timely, and be more efficient.

In an optional implementation manner, based on the above optional deployment points for peripheral intelligent hardware, the embodiment of the present invention provides an example of corresponding application processing, which is specifically as follows: the above-mentioned peripheral intelligent hardware is a wireless communication chip, and the above-mentioned peripheral intelligent hardware The independent execution of the first application processing includes the above-mentioned wireless communication chip performing information filtering processing.

In this embodiment, the information filtering may be spam filtering, and the specific implementation of filtering may be: for example, spam short messages, broadcast data packets, advertising traffic, etc. from some wireless networks can be directly filtered. By filtering unnecessary information, the number and time that the Modem wakes up the AP can be reduced.

In an optional implementation manner, based on the above optional deployment points for peripheral intelligent hardware, the embodiment of the present invention provides an example of corresponding application processing, which is specifically as follows: the above-mentioned peripheral intelligent hardware is a power module, and the above-mentioned peripheral intelligent hardware is independent Executing the first application process includes:

The power supply module monitors the load and power consumption of each hardware module, and adjusts the power supply to each hardware module according to the load and power consumption.

In the embodiment of the present invention, since the power supply module is the hardware that provides power, it is most aware of the power consumption of each hardware module of the current data of the current smart device, so it can be considered to complete the power supply control independently, and it is not necessary to interrupt the AP or the CPU. Realize the power supply adjustment for each hardware module. After the adjustment is completed, the AP or CPU can be notified of the adjustment result. If the AP or CPU does not accept the adjustment, it can also issue a power-increasing command to increase the power of the RF module. In this embodiment, the power supply module implements power consumption control, which can reduce interruptions to the CPU and AP, so that the power supply adjustment is more timely and the efficiency is higher.

In the second aspect, the embodiment of the present invention further provides an intelligent device, including: a central processing unit 201, and peripheral intelligent hardware 202,

The above-mentioned peripheral intelligent hardware 202 is used to independently execute the first application processing, and after the above-mentioned peripheral intelligent hardware 202 independently executes the first application processing and obtains the result data, the above-mentioned result data is fed back to the above-mentioned central processing unit 201;

The above-mentioned central processing unit 201 is configured to execute the second application processing after receiving the above-mentioned result data.

Peripheral intelligent hardware refers to hardware independent of the central processing unit, which can be a radio frequency module, power management module, audio processor, image processor, wireless communication chip, etc.; application processing refers to the processing of applications that would originally be controlled and executed by the CPU . Independent execution refers to a processing method that does not start or end under the control of the CPU, and does not need to interrupt the CPU to request corresponding processing resources in the process of executing data processing. Therefore, the peripheral intelligent hardware can be regarded as a hardware device that independently implements the function of processing the first application. In this embodiment, the central processing unit may include a low-power CPU and a MAP, both of which may adopt an integrated architecture. This embodiment focuses on the deployment of application functions of other functional hardware.

After the peripheral intelligent hardware is executed, it will get the corresponding result data. After the result data is obtained, the result data can be fed back to the CPU, and the CPU will execute the subsequent application functions; the second application processing can only record the results, or is other processing, which is not limited in this embodiment of the present invention.

In this embodiment, the application processing is independently performed by peripheral intelligent hardware other than the central processing unit or the application processor, and is no longer controlled by the CPU. Due to the control of the CPU, it is no longer necessary to initiate operations such as interrupts to the CPU, so that the work of the CPU is deployed to the hardware with intelligent functions. The CPU load improves the efficiency of the entire smartphone system.

In an optional implementation manner, the embodiment of the present invention also provides optional deployment points for peripheral intelligent hardware, which are specifically as follows: the above-mentioned peripheral intelligent hardware 202 includes: a modem, a radio frequency module, a power supply module, and at least one of the wireless communication chips one.

It should be noted that in smart devices, in addition to processing the above modems, radio frequency modules, power modules, and wireless communication chips, there will also be image processing, Bluetooth modules, positioning modules, and many other chips that can be intelligent. The above examples should not be used. It is understood as a unique limitation to the embodiments of the present invention.

In an optional implementation manner, based on the above optional deployment points for peripheral intelligent hardware, the embodiment of the present invention provides an example of corresponding application processing, which is specifically as follows: the above-mentioned peripheral intelligent hardware 202 is the above-mentioned modem;

The above-mentioned modem is used for demodulating the above-mentioned analog signal after receiving the analog signal to obtain a digital signal, and performing application processing on the above-mentioned digital signal;

Alternatively, the above-mentioned modem is configured to, after receiving the digital signal, execute the application processing function to obtain the resultant data, and then modulate the above-mentioned resultant data to obtain the analog signal.

In this embodiment of the present invention, since the function of the modem is to convert a digital signal into an analog signal, or convert an analog signal into a digital signal, after receiving a digital signal or converting an analog signal into a digital signal, the modem can already obtain the The content of the information can perform certain data processing functions at this time, such as information filtering, data compression and transmission, etc. This is not uniquely limited in this embodiment of the present invention.

In an optional implementation manner, based on the specific application scenario in which the peripheral intelligent hardware is a modem, the embodiment of the present invention also provides a specific example of the first application processing: the above-mentioned peripheral intelligent hardware 202 is used to independently execute the first application processing. Application processing includes:

The above-mentioned modem is used to perform information filtering processing.

In this embodiment, the information filtering may be spam filtering, and the specific implementation of filtering may be: for example, spam short messages, broadcast data packets, advertising traffic, etc. from some wireless networks can be directly filtered.

The filtering method may be to directly look at the prohibition of broadcast data packets, the black and white list of Internet Protocol (Internet Protocol, IP) addresses, or to set filtering rules.

In addition, intelligent analysis of content big data can also be used to realize information filtering. This is because the Modem can parse out the content of the data packet and the application of the purpose of the data packet to the upper layer, and a filtering mechanism can be established through these rules. By filtering unnecessary information, the number and time that the Modem wakes up the AP can be reduced.

In an optional implementation manner, based on the above optional deployment points for peripheral intelligent hardware, the embodiment of the present invention provides an example of corresponding application processing, which is specifically as follows: the above-mentioned peripheral intelligent hardware 202 is a radio frequency module, and the above-mentioned peripheral intelligent hardware 202, for independently executing the first application processing includes:

The above-mentioned radio frequency module is used to monitor its own load, and reduce the power of the above-mentioned radio frequency module when the above-mentioned load is less than a preset threshold.

In the embodiment of the present invention, since the radio frequency module is the hardware that generates radio frequency signals, it is most aware of the current data transmission load of the current smart device, so it can be considered to complete the control of its own functions independently, and it is not necessary to interrupt the AP or the CPU. After the adjustment of its own power, the AP or CPU can be notified of the adjustment result. If the AP or CPU does not accept the adjustment, it can also issue an instruction to increase the power again, so that the radio module can increase the power. In this embodiment, the radio frequency module implements power consumption control, which can reduce interruptions to the CPU and AP, make power consumption adjustment more timely, and be more efficient.

In an optional implementation manner, based on the above optional deployment points for peripheral intelligent hardware, the embodiment of the present invention provides an example of corresponding application processing, which is specifically as follows: the above-mentioned peripheral intelligent hardware 202 is a wireless communication chip, and the above-mentioned peripheral intelligent hardware 202 is a wireless communication chip. The hardware 202 for independently executing the first application processing includes:

The above wireless communication chip is used for performing information filtering processing.

In this embodiment, the information filtering may be spam filtering, and the specific implementation of filtering may be: for example, spam short messages, broadcast data packets, advertising traffic, etc. from some wireless networks can be directly filtered. By filtering unnecessary information, the number and time that the Modem wakes up the AP can be reduced.

In an optional implementation manner, based on the above optional deployment points for peripheral intelligent hardware, the embodiment of the present invention provides an example of corresponding application processing, which is specifically as follows: the above-mentioned peripheral intelligent hardware 202 is a power module, and the above-mentioned peripheral intelligent hardware 202, for independently executing the first application processing includes:

The above-mentioned power supply module is used to monitor the load and power consumption of each hardware module, and adjust the amount of power supply to each of the above-mentioned hardware modules according to the above-mentioned load and power consumption.

In the embodiment of the present invention, since the power supply module is the hardware that provides power, it is most aware of the power consumption of each hardware module of the current data of the current smart device, so it can be considered to complete the power supply control independently, and it is not necessary to interrupt the AP or the CPU. Realize the power supply adjustment for each hardware module. After the adjustment is completed, the AP or CPU can be notified of the adjustment result. If the AP or CPU does not accept the adjustment, it can also issue a power-increasing command to increase the power of the RF module. In this embodiment, the power supply module implements power consumption control, which can reduce interruptions to the CPU and AP, so that the power supply adjustment is more timely and the efficiency is higher.

It can be seen from the above technical solutions that the embodiment of the present invention has the following advantages: the peripheral intelligent hardware 202 other than the central processing unit 201 independently performs application processing, and is no longer under the control of the CPU, and the peripheral intelligent hardware 202 independently completes the application processing, In the process of processing, it is no longer subject to the control of the CPU, and it is no longer necessary to initiate operations such as interrupts to the CPU, so that the work of the CPU is deployed to the hardware with intelligent functions. On the one hand, it achieves load balance and reduces the The interrupt of the CPU can therefore reduce the load of the CPU and improve the efficiency of the entire smart computer system.

At present, there are modules such as modem and WIFI in AP; external modules such as power module and radio frequency module. These modules are currently completely controlled by the CPU, without their own thoughts, and cannot complete some processing independently.

In the future, the chip process and technology will become more and more advanced, so each module can be made smarter.

After each module is more intelligent, the CPU overhead can be minimized, power consumption can be saved, and performance can be improved. Specific implementation cases include:

The modem adds an intelligent processing module, so that the modem can process some scenarios more intelligently. For example, spam text messages, broadcast data packets, advertising traffic, etc. from some wireless networks are directly filtered. The filtering method can be:

Directly watch broadcast data packet prohibition, IP address black and white list, and other rules can also be set.

In addition, intelligent analysis of content big data can also be used to realize information filtering. This is because the Modem can parse out the content of the data packet and the application of the purpose of the data packet to the upper layer, and a filtering mechanism can be established through these rules. By filtering unnecessary information, the number and time that the Modem wakes up the AP can be reduced.

Three aspects The embodiment of the present invention further provides another smart device, as shown in FIG. 2 , including: peripheral smart hardware 202 and a central processing unit 201, the central processing unit 201 and the peripheral smart hardware 202 are in a communicable manner Connection; the communication mode here can be a bus or a communication interface between other chips, which is not limited in this embodiment;

The above-mentioned peripheral intelligent hardware 202 has part or all of the application processing functions of the above-mentioned central processing unit 201 .

Based on the foregoing description, the above-mentioned peripheral intelligent hardware 202 includes at least one of a modem, a radio frequency module, a power supply module, and a wireless communication chip.

Four aspects The embodiment of the present invention also provides a terminal device, as shown in FIG. 3 , for the convenience of description, only the part related to the embodiment of the present invention is shown, and the specific technical details are not disclosed, please refer to the embodiment of the present invention Methods section. The terminal device can be any terminal device including a mobile phone, a tablet computer, a PDA (Personal Digital Assistant, personal digital assistant), a POS (Point of Sales, a sales terminal), a car computer, etc. The terminal device is a mobile phone as an example:

FIG. 3 is a block diagram showing a partial structure of a mobile phone related to a terminal device provided by an embodiment of the present invention. Referring to FIG. 3 , the mobile phone includes: a radio frequency (RF) circuit 310 , a memory 320 , an input unit 330 , a display unit 340 , a sensor 350 , an audio circuit 360 , a wireless fidelity (WiFi) module 370 , and a processor 380 , and power supply 390 and other components. Those skilled in the art can understand that the structure of the mobile phone shown in FIG. 3 does not constitute a limitation on the mobile phone, and may include more or less components than the one shown, or combine some components, or arrange different components.

The following describes the various components of the mobile phone in detail with reference to Figure 3:

The RF circuit 310 can be used for receiving and sending signals during sending and receiving of information or during a call. In particular, after receiving the downlink information of the base station, it is processed by the processor 380; in addition, the designed uplink data is sent to the base station. Typically, the RF circuit 310 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 310 may also communicate with networks and other devices via wireless communications. The above-mentioned wireless communication can use any communication standard or protocol, including but not limited to Global System of Mobile communication (GSM), General Packet Radio Service (General Packet Radio Service, GPRS), Code Division Multiple Access (Code Division Multiple Access) , CDMA), Wideband Code Division Multiple Access (Wideband Code Division Multiple Access, WCDMA), Long Term Evolution (Long Term Evolution, LTE), email, Short Messaging Service (Short Messaging Service, SMS) and the like.

The memory 320 may be used to store software programs and modules, and the processor 380 executes various functional applications and data processing of the mobile phone by running the software programs and modules stored in the memory 320 . The memory 320 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playback function, an image playback function, etc.) required for at least one function, and the like; Data created by the use of the mobile phone (such as audio data, phone book, etc.), etc. Additionally, memory 320 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The input unit 330 can be used for receiving inputted numerical or character information, and generating key signal input related to user setting and function control of the mobile phone. Specifically, the input unit 330 may include a touch panel 331 and other input devices 332 . The touch panel 331, also referred to as a touch screen, can collect the user's touch operations on or near it (such as the user's finger, stylus, etc., any suitable object or accessory on or near the touch panel 331). operation), and drive the corresponding connection device according to the preset program. Optionally, the touch panel 331 may include two parts, a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and then sends it to the touch controller. To the processor 380, and can receive the command sent by the processor 380 and execute it. In addition, the touch panel 331 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic waves. Besides the touch panel 331 , the input unit 330 may further include other input devices 332 . Specifically, other input devices 332 may include, but are not limited to, one or more of physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, joysticks, and the like.

The display unit 340 may be used to display information input by the user or information provided to the user and various menus of the mobile phone. The display unit 340 may include a display panel 341, and optionally, the display panel 341 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an organic light-emitting diode (Organic Light-Emitting Diode, OLED), or the like. Further, the touch panel 331 can cover the display panel 341. When the touch panel 331 detects a touch operation on or near it, it transmits it to the processor 380 to determine the type of the touch event, and then the processor 380 determines the type of the touch event according to the touch event. Type provides corresponding visual output on display panel 341 . Although in FIG. 3, the touch panel 331 and the display panel 341 are used as two independent components to realize the input and input functions of the mobile phone, in some embodiments, the touch panel 331 and the display panel 341 can be integrated to form Realize the input and output functions of the mobile phone.

The cell phone may also include at least one sensor 350, such as a light sensor, a 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 panel 341 according to the brightness of the ambient light, and the proximity sensor may turn off the display panel 341 and/or when the mobile phone is moved 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), and can detect the magnitude and direction of gravity when it is stationary. games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc.; as for other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared sensor, etc. Repeat.

The audio circuit 360, the speaker 361, and the microphone 362 can provide an audio interface between the user and the mobile phone. The audio circuit 360 can transmit the received audio data converted electrical signal to the speaker 361, and the speaker 361 converts it into a sound signal for output; on the other hand, the microphone 362 converts the collected sound signal into an electrical signal, which is converted by the audio circuit 360 After receiving, it is converted into audio data, and then the audio data is output to the processor 380 for processing, and then sent to, for example, another mobile phone through the RF circuit 310, or the audio data is output to the memory 320 for further processing.

WiFi is a short-distance 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 370. It provides users with wireless broadband Internet access. Although FIG. 3 shows the WiFi module 370, it can be understood that it is not a necessary component of the mobile phone, and can be completely omitted as required within the scope of not changing the essence of the invention.

The processor 380 is the control center of the mobile phone, using various interfaces and lines to connect various parts of the entire mobile phone, by running or executing the software programs and/or modules stored in the memory 320, and calling the data stored in the memory 320. Various functions of the mobile phone and processing data, so as to monitor the mobile phone as a whole. Optionally, the processor 380 may include one or more processing units; preferably, the processor 380 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, etc. , the modem processor mainly deals with wireless communication. It can be understood that, the above-mentioned modulation and demodulation processor may not be integrated into the processor 380 .

The mobile phone also includes a power supply 390 (such as a battery) for supplying power to various components. Preferably, the power supply can be logically connected to the processor 380 through a power management system, so as to manage charging, discharging, and power consumption management functions through the power management system.

Although not shown, the mobile phone may also include a camera, a Bluetooth module, and the like, which will not be repeated here.

In this embodiment of the present invention, the processor 380 may correspond to the functions of the central processing unit or the AP in the foregoing embodiments, and other hardware devices may correspond to the functions of the peripheral intelligent hardware in the foregoing embodiments, which will not be repeated here. .

It is worth noting that, in the above-mentioned smart device embodiments, some of the modules included may only be divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be realized; in addition, each functional unit The specific names are only for the convenience of distinguishing from each other, and are not used to limit the protection scope of the present invention.

In addition, those of ordinary skill in the art can understand that all or part of the steps in the above method embodiments can be implemented by instructing relevant hardware through a program, and the corresponding program can be stored in a computer-readable storage medium. The storage medium can be read-only memory, magnetic disk or optical disk, etc.

The above are only preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the embodiments of the present invention. , all should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims (13)

1. A data processing method based on an intelligent device architecture is characterized in that the intelligent device comprises: a central processing unit, and peripheral intelligence hardware, the peripheral intelligence hardware comprising: at least one of a modem, a radio frequency module, a power module, and a wireless communication chip; the central processor is connected with the peripheral intelligent hardware in a communication mode, and the method comprises the following steps:

the peripheral intelligent hardware independently executes first application processing; the first application processing refers to processing of an application which is controlled to be executed by the central processing unit; the peripheral intelligent hardware is not controlled by the central processing unit to start and control to finish, and the central processing unit is not interrupted to request corresponding processing resources in the process of executing data processing;

after the peripheral intelligent hardware independently executes the first application processing to obtain result data, feeding the result data back to the central processing unit;

and the central processing unit executes second application processing after receiving the result data, wherein the second application processing comprises the record of the result data.

2. The method of claim 1, wherein the peripheral intelligence hardware is the modem, and wherein the peripheral intelligence hardware independently performing the first application process comprises:

the modem demodulates the analog signal after receiving the analog signal to obtain a digital signal and executes application processing on the digital signal;

or, after the modem receives the digital signal and executes the application processing function to obtain result data, the modem modulates the result data to obtain an analog signal.

3. The method of claim 2, wherein the peripheral intelligence hardware independently executing the first application process comprises:

the modem performs an information filtering process.

4. The method of claim 1, wherein the peripheral intelligence hardware is a radio frequency module, and wherein the independently executing the first application process by the peripheral intelligence hardware comprises:

the radio frequency module monitors the load of the radio frequency module, and reduces the power of the radio frequency module under the condition that the load is smaller than a preset threshold value.

5. The method of claim 1, wherein the peripheral intelligence hardware is a wireless communication chip, and wherein the independently executing the first application process by the peripheral intelligence hardware comprises: the wireless communication chip performs information filtering processing.

6. The method of claim 1, wherein the peripheral intelligence hardware is a power module, and wherein the independently executing the first application process by the peripheral intelligence hardware comprises:

the power supply module monitors the load and the power consumption of each hardware module, and adjusts the power supply amount of each hardware module according to the load and the power consumption.

7. A smart device, comprising: a central processing unit, and peripheral intelligence hardware, the peripheral intelligence hardware comprising: at least one of a modem, a radio frequency module, a power module, and a wireless communication chip; the central processing unit is connected with the peripheral intelligent hardware in a communication way, and is characterized in that,

the peripheral intelligent hardware is used for independently executing first application processing; the first application processing refers to processing of an application which is controlled to be executed by the central processing unit; the peripheral intelligent hardware is not controlled by the central processing unit to start and control to finish, and the central processing unit is not interrupted to request corresponding processing resources in the process of executing data processing;

after the peripheral intelligent hardware independently executes the first application processing to obtain result data, feeding the result data back to the central processing unit;

the central processing unit is used for executing second application processing after receiving the result data, and the second application processing comprises the record of the result data.

8. The smart device of claim 7 wherein the peripheral smart hardware is the modem;

the modem is used for demodulating the analog signal after receiving the analog signal to obtain a digital signal and executing application processing on the digital signal;

or, the modem is configured to perform an application processing function after receiving the digital signal to obtain result data, and then modulate the result data to obtain an analog signal.

9. The smart device of claim 8, wherein the peripheral intelligence hardware to independently execute the first application process comprises:

the modem is used for executing information filtering processing.

10. The smart device of claim 7, wherein the peripheral smart hardware is a radio frequency module, and wherein the peripheral smart hardware being configured to independently execute the first application process comprises:

the radio frequency module is used for monitoring the load of the radio frequency module and reducing the power of the radio frequency module under the condition that the load is smaller than a preset threshold value.

11. The smart device of claim 7, wherein the peripheral smart hardware is a wireless communication chip, and wherein the peripheral smart hardware being configured to independently execute the first application process comprises:

the wireless communication chip is used for executing information filtering processing.

12. The smart device of claim 7, wherein the peripheral smart hardware is a power module, and wherein the peripheral smart hardware to independently execute the first application process comprises:

the power supply module is used for monitoring the load and the power consumption of each hardware module and adjusting the power supply amount of each hardware module according to the load and the power consumption.

13. A smart device, comprising: peripheral intelligence hardware and central processing unit, peripheral intelligence hardware includes: at least one of a modem, a radio frequency module, a power module, and a wireless communication chip; the central processing unit is connected with the peripheral intelligent hardware in a communication way, and is characterized in that,

the peripheral intelligent hardware has part or all of the application processing function of the central processing unit; the peripheral intelligent hardware is not controlled by the central processing unit to start and control to finish, and the central processing unit is not interrupted to request corresponding processing resources in the process of executing data processing;

after the peripheral intelligent hardware independently executes the first application processing, the result data is obtained and then fed back to the central processing unit; the first application processing refers to processing of an application which is controlled to be executed by the central processing unit;

the central processing unit is used for executing second application processing after receiving the result data, and the second application processing comprises the record of the result data.

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