TWI786829B - Performance adjustment system with artificial intelligence and its adjustment method - Google Patents

Abstract

A performance adjustment system with artificial intelligence and an adjustment method thereof are arranged inside an electronic device, and include: a cooling fan; a first performance display unit; a second performance display unit; Execution program list; the performance calculation unit calculates and generates the current required performance total value and the audio optimization weight value according to the execution program list; the artificial intelligence processing unit generates the performance adjustment signal corresponding to the execution program list through the learning algorithm; control The unit is used to control the display operation status of the first performance display unit and the second performance display unit, and the heat dissipation operation status of the cooling fan; and a learning database for storing a plurality of executable program lists and corresponding performance adjustment information.

Description

Efficiency adjustment system with artificial intelligence and adjustment method thereof

The present invention relates to a performance adjustment system with artificial intelligence and its adjustment method, and especially detects the performance required by the programs being executed in the computer, and is used to switch the built-in display card or independent display card, and the fan speed The performance adjustment system with artificial intelligence learns the performance modes when executing different programs through artificial intelligence.

Electronic systems and circuits have greatly contributed to the development of modern society and are used in a variety of applications to obtain beneficial results. In most fields of business, science, education, and entertainment, many electronic technologies, such as digital computers, computers, audio devices, video equipment, and telephone systems, help to increase productivity and reduce costs in analyzing and communicating data, ideas, and trends. cost. Quite often, these activities often involve presenting various display information on a display.

And when the user is running various programs in the computer, because the system defaults to use the built-in graphics card, the screen display and program operation are often not as smooth as expected. At this time, the user needs to manually switch to improve the display performance. , and because performance is closely related to battery life, fan speed, and noise caused by high speed, it is extremely important for a method that can automatically adjust display performance switching according to user habits.

The present invention provides an artificial intelligence performance adjustment system and its adjustment method. Its purpose is to automatically identify the currently running application program, and automatically switch the display performance according to the application program and user habits through artificial intelligence learning. To achieve the smooth operation of the computer, and effectively control the power and fan noise goals.

A performance adjustment system with artificial intelligence of the present invention is set inside an electronic device, including: at least one cooling fan for generating a cooling airflow; a first performance display unit for generating a first display signal; The second performance display unit is used to generate a second display signal; a work list obtaining unit is used to obtain an execution program list being executed in the electronic device, and the execution program list includes at least one execution program; a performance calculation A unit, electrically connected to the work list acquisition unit, calculates and generates a current required performance sum value and an audio optimization weighted value according to the execution program list; an artificial intelligence processing unit, electrically connected to the performance calculation unit, according to the The total value of the current required performance and the audio optimization weight value, through a learning algorithm, generate a performance adjustment signal corresponding to the execution program list; a control unit, electrically connected to the artificial intelligence processing unit, the first performance display The unit, the second performance display unit, and the at least one cooling fan are used to control a display operation status of the first performance display unit and the second performance display unit, and the at least one cooling fan according to the performance adjustment signal. A heat dissipation operation state; and a learning database for storing a plurality of the execution program list and a corresponding performance adjustment information; wherein, the performance adjustment information includes the display operation state and a corresponding performance adjustment information for the heat dissipation operation state Normal performance mode, a high performance mode and a noise reduction performance mode.

In an embodiment of the present invention, the above-mentioned electronic device is one of a notebook computer or a desktop computer.

In an embodiment of the present invention, the above-mentioned first performance display unit is an integrated graphics processing unit (iGPU), which is arranged on a motherboard or a central processing unit in the electronic device.

In an embodiment of the present invention, the above-mentioned second performance display unit is an independent graphics processing unit (dGPU), which is connected to a motherboard through an expansion interface in the electronic device.

In an embodiment of the present invention, the above-mentioned execution program list further includes a central processing unit usage rate and a memory usage rate when each execution program is executed.

In one embodiment of the present invention, when the above-mentioned total value of the current required performance is less than a system setting value or a user setting value, according to the performance adjustment signal of the artificial intelligence processing unit, the control unit is switched to use the The first performance display unit, and a general performance mode of reducing a fan speed of the at least one cooling fan.

In one embodiment of the present invention, when the above-mentioned total value of the current required performance is greater than a system setting value or a user setting value, according to the performance adjustment signal of the artificial intelligence processing unit, the control unit is switched to use the The second performance display unit is a high performance mode in which a fan speed of the at least one cooling fan is increased.

In one embodiment of the present invention, a prompting unit is further included. When the control unit needs to change the display operation state and the cooling operation state, a prompt page is generated for confirming the change.

In one embodiment of the present invention, an ambient volume sensing unit is further included for sensing an ambient volume around the electronic device.

The present invention also provides a performance adjustment method with artificial intelligence, including: obtaining a list of execution programs being executed in an electronic device through a work list acquisition unit; A current required performance sum value and an audio optimization weighted value; and through an artificial intelligence processing unit, according to the currently required performance sum value and the audio optimized weighted value, a learning algorithm is used to generate a corresponding execution program A performance adjustment signal of the list; finally through a control unit, electrically connect the artificial intelligence processing unit, a first performance display unit, a second performance display unit and at least one cooling fan, and adjust the signal according to the performance to control A display operation state of the first performance display unit and the second performance display unit, and a heat dissipation operation state of the at least one cooling fan; and a learning database for storing a plurality of the execution program list and its corresponding A performance adjustment information, wherein the performance adjustment information includes a normal performance mode, a high performance mode, and a noise reduction performance mode corresponding to the display operation state and the cooling operation state.

The effect of the present invention is that by obtaining the performance required by the executed application program, a general performance mode using a built-in graphics card or a high-performance mode using an independent graphics card is proposed, and a suggested switching interface is generated for the user to use. Select to switch the current performance mode, and the fan speed can be changed according to the current performance mode and the running application program, so as to improve the performance of the computer and reduce the difficulty of the user when using the computer.

In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail in conjunction with the accompanying drawings.

FIG. 1 is a block diagram of a performance adjustment system with artificial intelligence according to the present invention. In FIG. 1, a performance adjustment system with artificial intelligence is arranged inside an electronic device, including: at least one cooling fan 110 for generating a cooling airflow; a first performance display unit 120 for generating a first display signal; a second performance display unit 130, used to generate a second display signal; a work list acquisition unit 140, used to obtain an execution program list being executed in the electronic device, the execution program list includes at least one Execution program; a performance calculation unit 150, electrically connected to the work list acquisition unit 140, calculates and generates a current required performance sum value and an audio optimization weighted value according to the execution program list; an artificial intelligence processing unit 160, electrically is electrically connected to the performance calculation unit 150, and generates a performance adjustment signal corresponding to the execution program list through a learning algorithm according to the current required total performance value and the audio optimization weight value; a control unit 170 is electrically connected to The artificial intelligence processing unit 160, the first performance display unit 120, the second performance display unit 130, and the at least one cooling fan 110 are used to control the first performance display unit 120 and the second performance display unit 120 according to the performance adjustment signal. A display operation state of the performance display unit 130, and a heat dissipation operation state of the at least one heat dissipation fan 110; and a learning database 180 for storing a plurality of execution program lists and corresponding performance adjustment information; wherein, The performance adjustment information includes a general performance mode, a high performance mode and a noise reduction performance mode corresponding to the display operation state and the cooling operation state.

In this embodiment, the electronic device is one of a notebook computer or a desktop computer.

In this embodiment, the first performance display unit is an integrated graphics processing unit (iGPU), which is disposed on a motherboard or a central processing unit of the electronic device.

In this embodiment, the second performance display unit is an independent graphics processing unit (dGPU), which is connected to a motherboard through an expansion interface in the electronic device.

In this embodiment, the execution program list further includes a central processing unit usage rate and a memory usage rate when each execution program is executed.

When the total value of the current required performance is less than a system setting value or a user setting value, according to the performance adjustment signal of the artificial intelligence processing unit, switch to use the first performance display unit through the control unit, and reduce the A general performance mode of a fan speed of at least one cooling fan.

When the total value of the current required performance is greater than a system setting value or a user setting value, according to the performance adjustment signal of the artificial intelligence processing unit, switch to use the second performance display unit through the control unit, and adjust the height A high-efficiency mode of a fan speed of the at least one cooling fan.

In this embodiment, a prompt unit is further included, and when the control unit needs to change the display operation state and the cooling operation state, a prompt page is generated for confirming the change.

In this embodiment, an ambient volume sensing unit is further included for sensing an ambient volume around the electronic device.

Wherein, when the ambient volume is lower than a volume setting value, the control unit controls a rotational speed of the at least one cooling fan through the artificial intelligence processing unit.

In this embodiment, the learning database is used to store a wind speed control look-up table corresponding to the cooling operation state.

Wherein, the wind speed control look-up table further includes a fan speed value corresponding to the cooling operation state at different operating temperatures.

FIG. 2 is a flow chart of the steps of a performance adjustment method with artificial intelligence according to the present invention. The steps are as follows:

Step S210: Obtain a list of executable programs being executed in the electronic device through the work list obtaining unit.

Step S220: Through the performance calculation unit, calculate and generate the current required performance sum value and the audio optimization weighted value according to the execution program list.

Step S230: Through the artificial intelligence processing unit, according to the current required total performance value and the audio optimization weight value, through a learning algorithm, a performance adjustment signal corresponding to the execution program list is generated.

Step S240: through the control unit, electrically connect the artificial intelligence processing unit, the first performance display unit, the second performance display unit and at least the cooling fan, and adjust the signal according to the performance to control the first performance display unit and the second performance display unit The display operation status of the display, and at least the cooling operation status of the cooling fan.

Step S250: use the learning database to store a plurality of execution program lists and corresponding performance adjustment information, wherein the performance adjustment information includes general performance mode, high performance mode and noise reduction corresponding to display operation status and heat dissipation operation status performance mode.

In this embodiment, the electronic device is one of a notebook computer or a desktop computer.

In this embodiment, the first performance display unit is an integrated graphics processing unit, which is arranged on a motherboard or a central processing unit in the electronic device.

In this embodiment, the second performance display unit is an independent graphics processing unit, which is connected to a motherboard through an expansion interface in the electronic device.

Wherein, the execution program list further includes a central processing unit usage rate and a memory usage rate when each execution program is executed.

When the total value of the current required performance is less than a system setting value or a user setting value, according to the performance adjustment signal of the artificial intelligence processing unit, switch to use the first performance display unit through the control unit, and reduce the A general performance mode of a fan speed of at least one cooling fan.

When the total value of the current required performance is greater than a system setting value or a user setting value, according to the performance adjustment signal of the artificial intelligence processing unit, switch to use the second performance display unit through the control unit, and adjust the height A high-efficiency mode of a fan speed of the at least one cooling fan.

In this embodiment, a prompt unit is further included, and when the control unit needs to change the display operation state and the cooling operation state, a prompt page is generated for confirming the change.

Through the prompt unit, the electronic device prompts the user whether to switch the performance mode, so that the control unit switches the display operation state according to the user setting or system setting.

When the user confirms to switch the performance mode, the performance adjustment information is changed and stored in the learning database through the artificial intelligence processing unit.

and an ambient volume sensing unit for sensing an ambient volume around the electronic device.

Wherein, when the ambient volume is lower than a volume setting value, the control unit controls a rotational speed of the at least one cooling fan through the artificial intelligence processing unit.

In this embodiment, the learning database is used to store a wind speed control look-up table corresponding to the cooling operation state.

Wherein, the wind speed control look-up table further includes a fan speed value corresponding to the cooling operation state at different operating temperatures.

FIG. 3 is a flow chart of an implementation of a performance adjustment method with artificial intelligence according to the present invention. The steps are as follows:

Step S310: Obtain the execution program list through the work list obtaining unit.

Step S320: According to the total performance value of the execution program list, when the current total required performance value is greater than the system set value or the user set value, execute step S330a, and when the current required performance sum value is smaller than the system set value or the user set value, Execute step S330b.

Step S330a: Use the second performance display unit and increase the fan speed of at least one cooling fan in a high performance mode.

Step S330b: Use the first performance display unit and reduce the fan speed of at least one cooling fan in the general performance mode, and execute step S340a according to the audio optimization weight value, if not, execute step S340b.

Step S340a: According to the audio optimization weighted value, execute the noise reduction performance mode of reducing the fan speed.

Step S340b: Maintain the current general performance mode according to the audio optimization weighted value.

In this embodiment, the first performance display unit is an integrated graphics processing unit, which is arranged on a motherboard or a central processing unit in the electronic device.

In this embodiment, the second performance display unit is an independent graphics processing unit, which is connected to a motherboard through an expansion interface in the electronic device.

Wherein, the execution program list further includes a central processing unit usage rate and a memory usage rate when each execution program is executed.

When the total value of the current required performance is less than a system setting value or a user setting value, according to the performance adjustment signal of the artificial intelligence processing unit, switch to use the first performance display unit through the control unit, and reduce the A general performance mode of a fan speed of at least one cooling fan.

In this embodiment, take the execution of word processing programs such as WORD as an example. When executing WORD, when the required performance sum of the central processing unit usage rate and the memory usage rate is lower than the system setting value, the system maintains the use of the first A performance display unit and a corresponding fan speed.

Take the running of remote video conferencing programs such as Google Meet as an example. When running Google Meet, the required performance sum of central processing unit usage and memory usage is lower than the system setting value, and is weighted by the audio optimization The value determines that audio needs to be optimized to enhance the quality of video conferencing and reduce fan noise. The system uses the first performance display unit and the noise reduction performance mode of the fan speed corresponding to the noise reduction performance mode of reducing the fan speed.

When the total value of the current required performance is greater than a system setting value or a user setting value, according to the performance adjustment signal of the artificial intelligence processing unit, switch to use the second performance display unit through the control unit, and adjust the height A fan speed of the at least one cooling fan.

In this embodiment, when executing CAD (Computer-Aided Design) and other computer-aided design programs as an example, when executing CAD, the required performance sum of the central processing unit usage rate and the memory usage rate is greater than the system setting value , the system changes to use the second performance display unit, and adjusts to a high-efficiency mode corresponding to the fan speed.

In this embodiment, a prompt unit is further included, and when the control unit needs to change the display operation state and the cooling operation state, a prompt page is generated for confirming the change.

Through the prompt unit, the electronic device prompts the user whether to switch the performance mode, so that the control unit switches the display operation state according to the user setting or system setting.

When the user confirms to switch the performance mode, the performance adjustment information is changed and stored in the learning database through the artificial intelligence processing unit.

In this embodiment, when the execution program list has been stored in the learning database and the same execution program list appears again, the performance adjustment system with artificial intelligence automatically switches the corresponding performance mode.

and an ambient volume sensing unit for sensing an ambient volume around the electronic device.

Wherein, when the ambient volume is lower than a volume setting value, the control unit controls a rotational speed of the at least one cooling fan through the artificial intelligence processing unit.

In this embodiment, a learning database is further included for storing a wind speed control look-up table corresponding to the cooling operation state.

Wherein, the wind speed control look-up table further includes a fan speed value corresponding to the cooling operation state at different operating temperatures.

FIG. 4 is a flow chart of another implementation of a performance adjustment method with artificial intelligence according to the present invention. The steps are as follows:

Step S410: Obtain the ambient volume around the electronic device through the ambient volume sensing unit.

Step S420: Judging whether the ambient volume is lower than the noise setting value through the artificial intelligence processing unit, executing S430a when the ambient volume is lower than the noise setting value, and executing S430b when the ambient volume is higher than the setting value.

Step S430a: The artificial intelligence processing unit enables the control unit to control the fan speed corresponding to the noise reduction performance mode of the cooling fan.

Step S430b: Make the control unit control the cooling fan to the fan speed corresponding to the normal performance mode through the artificial intelligence processing unit.

In this embodiment, when the ambient volume is less than or equal to 40 decibels as an example, the noise reduction performance mode is turned on.

Wherein, when the ambient volume is lower than the system noise setting value or the user noise setting value, the at least one cooling fan is automatically controlled to the fan speed corresponding to the noise reduction performance mode.

Or, through a prompt unit, the electronic device prompts the user whether to turn on and control the fan speed corresponding to the noise reduction performance mode of the at least one heat dissipation fan.

To sum up, the effect of the present invention is to propose a general performance mode using a built-in graphics card or a high-performance mode using an independent graphics card by obtaining the performance required by the executed application program, and generate a suggested switch The interface allows the user to choose to switch the current performance mode, and the fan speed can be changed according to the current performance mode and the running application program, so as to improve the performance of the computer and reduce the difficulty of the user when using the computer.

Although the present invention is disclosed as above with the foregoing embodiments, it is not intended to limit the present invention. Anyone who is familiar with the similar art, without departing from the spirit and scope of the present invention, the equivalent replacement of changes and modifications is still the scope of the present invention. within the scope of patent protection.

110: cooling fan

120: The first performance display unit

130: The second performance display unit

140: Work List Acquisition Unit

150: performance computing unit

160: Artificial intelligence processing unit

170: control unit

180: Learning database

S210~S250: step process

S310~S340b: step process

S410~S430b: step process

FIG. 1 is a block diagram of a performance adjustment system with artificial intelligence according to the present invention.

FIG. 2 is a flow chart of the steps of a performance adjustment method with artificial intelligence according to the present invention.

FIG. 3 is a flow chart of an implementation of a performance adjustment method with artificial intelligence according to the present invention.

FIG. 4 is a flow chart of another implementation of a performance adjustment method with artificial intelligence according to the present invention.

110: cooling fan

120: The first performance display unit

130: The second performance display unit

140: Work list acquisition unit

150: performance computing unit

160: Artificial intelligence processing unit

170: control unit

180: Learning database

Claims (9)

A performance adjustment system with artificial intelligence, set inside an electronic device, including: at least one cooling fan, used to generate a cooling air flow; a first performance display unit, used to generate a first display signal; a second performance The display unit is used to generate a second display signal; a work list obtaining unit is used to obtain an execution program list being executed in the electronic device, and the execution program list includes at least one execution program; a performance calculation unit, the electronic An artificial intelligence processing unit is electrically connected to the performance calculation unit to generate a current required performance sum value and an audio optimization weighted value according to the current required performance calculation unit. The total performance value and the audio optimization weight value are used to generate a performance adjustment signal corresponding to the execution program list through a learning algorithm; a control unit is electrically connected to the artificial intelligence processing unit, the first performance display unit, and the The second performance display unit and the at least one heat dissipation fan are used to control a display operation state of the first performance display unit and the second performance display unit and a heat dissipation operation of the at least one heat dissipation fan according to the performance adjustment signal state; and a learning database for storing a plurality of the execution program list and a corresponding performance adjustment information; wherein, the performance adjustment information includes the display operation state and a general performance mode corresponding to the cooling operation state 1. A high performance mode and a noise reduction performance mode; wherein, the electronic device is one of a notebook computer or a desktop computer. According to the performance adjustment system with artificial intelligence described in item 1 of the scope of the patent application, the first performance display unit is an integrated graphics processing unit, which is arranged on a motherboard or a central processing unit in the electronic device. In the performance adjustment system with artificial intelligence described in item 1 of the scope of the patent application, the second performance display unit is an independent graphics processing unit connected to a motherboard through an expansion interface in the electronic device. In the performance adjustment system with artificial intelligence described in item 1 of the scope of the patent application, the execution program list further includes a central processing unit usage rate and a memory usage rate when each execution program is executed. The performance adjustment system with artificial intelligence as described in item 1 of the scope of the patent application, wherein when the total value of the current required performance is less than a system setting value or a user setting value, the performance adjustment signal of the artificial intelligence processing unit is used Switching to the general performance mode of using the first performance display unit and reducing a fan speed of the at least one cooling fan through the control unit. The performance adjustment system with artificial intelligence as described in item 1 of the scope of the patent application, wherein when the total value of the current required performance is greater than a system setting value or a user setting value, the performance adjustment signal of the artificial intelligence processing unit is used Switching to a high-efficiency mode in which the second performance display unit is used and a fan speed of the at least one cooling fan is increased through the control unit. The performance adjustment system with artificial intelligence as described in item 1 of the scope of the patent application, which further includes a prompt unit, when the control unit needs to change the display operation state and the heat dissipation operation state, a prompt page is generated for confirmation change. The performance adjustment system with artificial intelligence as described in item 1 of the scope of the patent application further includes an ambient volume sensing unit for sensing an ambient volume around the electronic device. A performance adjustment method with artificial intelligence, comprising: obtaining a list of execution programs being executed in an electronic device through a work list obtaining unit; calculating and generating a current required performance sum according to the list of execution programs through a performance calculation unit value, and an audio optimization weight value; through an artificial intelligence processing unit, according to the current required performance sum value and the audio optimization weight value, through a learning algorithm, a performance adjustment signal corresponding to the execution program list is generated; The artificial intelligence processing unit, a first performance display unit, a second performance display unit, and at least one cooling fan are electrically connected through a control unit, and are used to control the first performance display unit and the first performance display unit according to the performance adjustment signal. A display operation state of the second performance display unit, and a heat dissipation operation state of the at least one heat dissipation fan; and through a learning database, used to store a plurality of the execution program list and a corresponding performance adjustment information, wherein the The performance adjustment information includes a general performance mode, a high performance mode, and a noise reduction performance mode corresponding to the display operation state and the cooling operation state; wherein, the electronic device is one of a notebook computer or a desktop computer .

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