Multimedia equipment energy consumption management system and method based on artificial intelligence

Abstract

The invention discloses a multimedia equipment energy consumption management system and method based on artificial intelligence, and relates to the technical field of multimedia equipment energy consumption management, the system comprises an environment monitoring unit, a data acquisition module, a data analysis module and an energy consumption management module; the environment monitoring unit monitors the illumination intensity of the environment where the screen of the multimedia equipment is located in real time. The data acquisition module acquires preset display brightness of a multimedia equipment screen under different illumination intensities, acquires a brightness adjustment curve of the multimedia equipment screen, and also acquires display orientation information and orientation information of the multimedia equipment screen and face data and orientation information of each person in the environment; the data analysis module analyzes the attention degree of each person on the screen of the multimedia equipment, and calculates the brightness adjustment target value of the screen of the multimedia equipment on each person; and the energy consumption management module is provided with a brightness adjustment time window and a brightness adjustment step, the brightness of the screen of the multimedia equipment is judged and adjusted through a threshold value, and energy consumption management is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of multimedia device energy consumption management, and in particular to an artificial intelligence-based multimedia device energy consumption management system and method. Background Art

[0002] With the widespread use of various types of multimedia devices in various scenarios, intelligent brightness control of multimedia device display screens through real-time sensor recognition has become an important means of energy saving; Commonly used intelligent brightness control methods include adjusting screen brightness according to ambient light or whether a user is passing by, and building an artificial intelligence model based on historical data of user brightness adjustment to manage screen brightness. However, the above technical solutions only adjust according to environmental parameters or user preferences, without considering the actual attention paid by users to multimedia devices, and lack evaluation of the information transmission effect displayed on the screen of multimedia devices. Therefore, there is a lack of actual analysis of the effect of users obtaining information displayed on the screen, resulting in redundant high-brightness display and excessive energy consumption. Therefore, there is a need for an artificial intelligence-based multimedia device energy consumption management system and method to make up for the above-mentioned technical deficiencies. Summary of the invention

[0003] The purpose of the present invention is to provide a multimedia device energy consumption management system and method based on artificial intelligence to solve the problems raised in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solutions: A multimedia device energy consumption management method based on artificial intelligence is divided into the following analysis steps: Step S100: obtaining a preset display brightness of the multimedia device screen under different light intensities, and obtaining a brightness adjustment curve of the multimedia device screen by using curve fitting; Step S200: using sensors to monitor in real time the facial data of each person in the environment where the multimedia device screen is located, obtaining the sight direction data of each person, and calculating the attention degree of each person to the multimedia device screen; Step S300: According to the display range of the multimedia device screen and the real-time position of each person, comprehensively calculate and analyze the target value of brightness adjustment of the multimedia device screen for each person in the environment; Step S400: according to the attention paid by each person to the multimedia device screen and the target value of the multimedia device screen brightness adjustment for each person in the environment, a multimedia device screen brightness adjustment strategy is set to optimize the energy consumption management of the multimedia device.

[0005] In the above technical solution, step S100 includes the following contents: Extract factory setting data of multimedia devices, obtain preset screen brightness data of multimedia devices under different ambient light intensities, and use curve fitting to obtain screen brightness adjustment curve of multimedia devices; If the multimedia device does not have preset screen brightness under different ambient light intensities when leaving the factory, obtain the brightness adjustment data under different ambient light intensities from the manager, and use curve fitting to obtain the multimedia device screen brightness adjustment curve; fit the multimedia device screen brightness adjustment curve and use it as the data basis for brightness adjustment to ensure the rationality and interpretability of the calculation and analysis of the brightness adjustment target value.

[0006] In the above technical solution, step S200 is divided into the following steps: Step S210: obtaining information on the display orientation of the multimedia device screen, and using a facial recognition sensor to obtain facial data of each person in the environment where the multimedia device screen is located; Step S220: construct a three-dimensional coordinate system for the environment where the multimedia device screen is located, and mark the unit vector of the multimedia device screen display orientation and the location information of each person in the environment; among them, The center of the multimedia device screen is taken as the starting point, and the display direction of the multimedia device screen is taken as the positive direction; For any person p, the position information is recorded as ;in, is the unit vector of person p's face orientation, starting from the midpoint of person p's eyes and with the face orientation as the positive direction; is the unit vector of the direction of the line connecting person p and the multimedia device screen, starting from the midpoint of person p's eyes and ending at the center of the multimedia device screen; It is a visible mark of the multimedia device screen to the person P. If there is no obstruction in the direction of the line connecting the person P and the multimedia device screen, If there is an obstruction in the direction of the line between person p and the multimedia device screen, ; Step S230: Calculate the attention degree of each person in the environment where the multimedia device screen is located to the multimedia device screen.

[0007] In the above technical solution, the method for calculating the attention of each person in the environment where the multimedia device screen is located to the multimedia device screen in step S200 is as follows: For any person p, obtain the person's position information, and calculate the sight angle factor and display angle factor of the person p's attention to the multimedia device screen according to the following formula: ; ; in, is the sight angle factor, To show the angular factor, To obtain the maximum value function, For vector and vector Angle, To represent the vector and vector The constant of the maximum effective viewing angle of the person in the plane, For vector and vector Negative angle, To represent the vector and vector The constant of the maximum display angle of the multimedia device screen in the plane; Then according to the formula: , calculate the attention of personnel p to the multimedia device screen ; A visible mark for person p on the multimedia device screen; By monitoring the multimedia device screen and personnel orientation, marking the personnel's facing angle and screen orientation angle information in the three-dimensional coordinate system, and then calculating each person's attention to the multimedia device screen, the actual effect of each person obtaining screen information is quantitatively evaluated, providing a practical data basis for the subsequent calculation of the brightness adjustment target value, ensuring the scientificity and rationality of the final brightness adjustment and energy consumption management strategy.

[0008] In the above technical solution, step S300 includes the following contents: Monitor the ambient light intensity of the multimedia device screen in real time, and use curve matching to obtain the preset brightness of the multimedia device screen according to the multimedia device screen brightness adjustment curve ; Mark the display range of the multimedia device screen in the environment, monitor the positions of each person in the environment where the multimedia device screen is located in real time, measure the distance between each person and the center point of the multimedia device screen, and correct the attention of people outside the display range of the multimedia screen to the multimedia device screen to 0; Set the attention threshold. For any person p, if the attention is greater than or equal to the attention threshold, adjust the multimedia device screen to display mode, and adjust the brightness of the multimedia device screen to the target value for person p. The calculation formula is as follows: ; Where l is the distance between person p and the center point of the multimedia device screen, Preset reference display distance for multimedia device screens; is the display mode brightness adjustment coefficient, when hour, ,when hour, ; If the attention level is less than the attention level threshold, the multimedia device screen is adjusted to the energy-saving mode, and the multimedia device screen adjusts the brightness to the target value for the person p The calculation formula is as follows: ; in, is the brightness adjustment coefficient of energy saving mode, is the attention of person p to the multimedia device screen, l is the distance between person p and the center point of the multimedia device screen, For multimedia devices, the screen display range is Maximum distance in direction; when When the screen brightness of the multimedia device is adjusted, it means that the brightness is increased. When , it means that the brightness of the multimedia device screen is reduced when adjusting; Combined with the common demand data when using multimedia device screens, such as the screen display range and the optimal viewing distance of people, a comprehensive calculation and analysis of the screen brightness adjustment target value is performed to ensure that the final brightness adjustment strategy meets the actual usage needs and ensure the rationality and universality of the system use.

[0009] In the above technical solution, step S400 includes the following contents: Calculate the attention of each person in the environment of the multimedia device screen to the multimedia device screen, extract the person with the highest attention to the multimedia device screen as the multimedia device screen display object, and calculate the target value of the multimedia device screen brightness adjustment for this person ; Set the brightness adjustment time window T and brightness adjustment steps , record the screen brightness adjustment time of the multimedia device each time, and make adjustment strategy decisions on the screen brightness of the multimedia device through threshold judgment; If the time from the last screen brightness adjustment exceeds the brightness adjustment time window, it is determined that the screen brightness can be adjusted at the current time point; if the time from the last screen brightness adjustment does not exceed the brightness adjustment time window, it is determined that the screen brightness adjustment frequency is high and the screen brightness cannot be adjusted at the current time point; If the absolute value of the difference between the target value of the multimedia device screen brightness adjustment for the display object and the current brightness of the multimedia device screen is greater than or equal to the brightness adjustment step , determine that the current brightness of the multimedia device screen exceeds the applicable range, The brightness of the multimedia device screen is adjusted for the brightness adjustment target value; if the absolute value of the difference between the brightness adjustment target value of the multimedia device screen for the display object and the current brightness of the multimedia device screen is less than the brightness adjustment step , determine that the current brightness of the multimedia device screen does not exceed the applicable range, and do not adjust the brightness; By setting the brightness adjustment time window and brightness adjustment steps, smooth adjustment and transition of the screen brightness of multimedia devices can be achieved, ensuring the actual display effect of the screen while avoiding redundant system resource loss caused by high-frequency adjustment.

[0010] An artificial intelligence-based multimedia device energy consumption management system using an artificial intelligence-based multimedia device energy consumption management method in the above technical solution, the system comprising: an environment monitoring unit, a data acquisition module, a data analysis module, and an energy consumption management module; The environmental monitoring unit monitors the light intensity of the environment in which the multimedia device screen is located in real time; the data acquisition module obtains the preset display brightness of the multimedia device screen under different light intensities, obtains the brightness adjustment curve of the multimedia device screen, and also collects the display orientation information and orientation information of the multimedia device screen, and the facial data and orientation information of each person in the environment; the data analysis module analyzes the attention of each person to the multimedia device screen, and calculates the brightness adjustment target value of the multimedia device screen for each person; the energy consumption management module sets the brightness adjustment time window and the brightness adjustment ladder, adjusts the brightness of the multimedia device screen through threshold judgment, and optimizes energy consumption management.

[0011] In the above technical solution, the data acquisition module includes: an equipment data acquisition unit and a personnel data monitoring unit; The device data acquisition unit is used to obtain the multimedia device screen brightness adjustment curve according to the preset display brightness of the multimedia device screen under different light intensities, and is also used to collect the display orientation information and orientation information of the multimedia device screen; the personnel data monitoring unit is used to monitor the facial data and orientation information of each person in the environment in real time.

[0012] In the above technical solution, the data analysis module includes: a personnel orientation analysis unit, an attention calculation unit, and a brightness adjustment target value analysis unit; The person orientation analysis unit analyzes the facial orientation information of the persons in the environment based on the facial data of each person; the attention calculation unit is used to calculate the attention of each person to the multimedia device screen; the brightness adjustment target value analysis unit comprehensively analyzes the brightness adjustment target value of the multimedia device screen for each person based on the calculation result of each person's attention to the multimedia device screen.

[0013] In the above technical solution, the energy consumption management module includes: a time window judgment unit, a brightness step judgment unit, and a screen brightness adjustment unit; The time window judgment unit sets the brightness adjustment time window to make a judgment on the screen brightness adjustment frequency at the current time point; the brightness step judgment unit sets the brightness adjustment step to make a judgment on the current screen brightness adjustment target value; the screen brightness adjustment unit adjusts the screen brightness of the multimedia device according to the judgment result.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention monitors the multimedia device screen and the orientation of personnel, and calculates the attention of each person to the multimedia device screen by comprehensively considering the personnel's facing angle and the screen orientation angle, thereby reflecting the actual effect of each person in obtaining screen information, and then adjusting the brightness of the multimedia device screen in a personalized manner in combination with the actual effect of the user using the multimedia device screen; the present application also combines common data when the multimedia device screen is used in practice, such as the screen display range and the optimal viewing distance of personnel, to comprehensively calculate and analyze the screen brightness adjustment target value, to ensure that the final brightness adjustment strategy meets the actual use requirements, and to ensure the rationality and universality of the system use; the present application sets a brightness adjustment time window and a brightness adjustment ladder to ensure the stability of the actual brightness adjustment, and avoids the reduction of screen display effect and system resource loss caused by frequent adjustment; in addition, the present application fits the brightness adjustment curve of the multimedia device screen, and uses this as the data basis for brightness adjustment, to ensure the rationality and scientificity of the brightness adjustment target value analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a flow chart of a multimedia device energy consumption management method based on artificial intelligence according to the present invention; Figure 2 This is an organizational structure diagram of an artificial intelligence-based multimedia device energy consumption management system of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Example: See Figure 1-Figure 2 , the present invention provides a technical solution, like Figure 1 As shown, the present invention provides a multimedia device energy consumption management method based on artificial intelligence, which is divided into the following analysis steps: Step S100: obtaining a preset display brightness of the multimedia device screen under different light intensities, and obtaining a brightness adjustment curve of the multimedia device screen by using curve fitting; Step S200: using sensors to monitor in real time the facial data of each person in the environment where the multimedia device screen is located, obtaining the sight direction data of each person, and calculating the attention degree of each person to the multimedia device screen; Step S300: According to the display range of the multimedia device screen and the real-time position of each person, comprehensively calculate and analyze the target value of brightness adjustment of the multimedia device screen for each person in the environment; Step S400: according to the attention paid by each person to the multimedia device screen and the target value of the multimedia device screen brightness adjustment for each person in the environment, a multimedia device screen brightness adjustment strategy is set to optimize the energy consumption management of the multimedia device.

[0018] Step S100 includes the following contents: Extract factory setting data of multimedia devices, obtain preset screen brightness data of multimedia devices under different ambient light intensities, and use curve fitting to obtain screen brightness adjustment curve of multimedia devices; If the screen brightness of the multimedia device under different ambient light intensities is not preset at the factory, the brightness adjustment data of the administrator under different ambient light intensities is obtained, and the screen brightness adjustment curve of the multimedia device is obtained by using curve fitting; In specific implementation, most existing multimedia screens are already equipped with adaptive brightness adjustment algorithms, while home televisions, for example, can intelligently adjust the brightness by identifying the time interval between user adjustment operations. This type of device does not include an adaptive brightness adjustment algorithm, but can collect user screen brightness adjustment data in different brightness environments, and obtain the multimedia device screen brightness adjustment curve through curve fitting.

[0019] Step S200 is divided into the following steps: Step S210: obtaining information on the display orientation of the multimedia device screen, and using a facial recognition sensor to obtain facial data of each person in the environment where the multimedia device screen is located; Step S220: construct a three-dimensional coordinate system for the environment where the multimedia device screen is located, and mark the unit vector of the multimedia device screen display orientation and the location information of each person in the environment; among them, The center of the multimedia device screen is taken as the starting point, and the display direction of the multimedia device screen is taken as the positive direction; For any person p, the position information is recorded as ;in, is the unit vector of person p's face orientation, starting from the midpoint of person p's eyes and with the face orientation as the positive direction; is the unit vector of the direction of the line connecting person p and the multimedia device screen, starting from the midpoint of person p's eyes and ending at the center of the multimedia device screen; It is a visible mark of the multimedia device screen to the person P. If there is no obstruction in the direction of the line connecting the person P and the multimedia device screen, If there is an obstruction in the direction of the line between person p and the multimedia device screen, ; Step S230: Calculate the attention degree of each person in the environment where the multimedia device screen is located to the multimedia device screen.

[0020] In step S200, the method for calculating the attention degree of each person in the environment where the multimedia device screen is located to the multimedia device screen is as follows: For any person p, obtain the person's position information, and calculate the sight angle factor and display angle factor of the person p's attention to the multimedia device screen according to the following formula: ; ; in, is the sight angle factor, To show the angular factor, To obtain the maximum value function, For vector and vector Angle, To represent the vector and vector The constant of the maximum effective viewing angle of the person in the plane, For vector and vector Negative angle, To represent the vector and vector The constant of the maximum display angle of the multimedia device screen in the plane; Then according to the formula: , calculate the attention of personnel p to the multimedia device screen ; A visible mark for person p on the multimedia device screen; In specific implementation, people can only obtain the image information displayed on the screen when there is an intersection between the direction of their line of sight and the screen display range. Therefore, the line of sight angle factor and the display angle factor are calculated respectively through angle calculation and positive value judgment. At the same time, the visual judgment results are combined to comprehensively analyze and evaluate the attention of each person to the multimedia device screen.

[0021] Step S300 includes the following contents: Monitor the ambient light intensity of the multimedia device screen in real time, and use curve matching to obtain the preset brightness of the multimedia device screen according to the multimedia device screen brightness adjustment curve ; Mark the display range of the multimedia device screen in the environment, monitor the positions of each person in the environment where the multimedia device screen is located in real time, measure the distance between each person and the center point of the multimedia device screen, and correct the attention of people outside the display range of the multimedia screen to the multimedia device screen to 0; Set the attention threshold. For any person p, if the attention is greater than or equal to the attention threshold, adjust the multimedia device screen to display mode, and adjust the brightness of the multimedia device screen to the target value for person p. The calculation formula is as follows: ; Where l is the distance between person p and the center point of the multimedia device screen, Preset reference display distance for multimedia device screens; is the display mode brightness adjustment coefficient, when hour, ,when hour, ; If the attention level is less than the attention level threshold, the multimedia device screen is adjusted to the energy-saving mode, and the multimedia device screen adjusts the brightness to the target value for the person p The calculation formula is as follows: ; in, is the brightness adjustment coefficient of energy saving mode, is the attention of person p to the multimedia device screen, l is the distance between person p and the center point of the multimedia device screen, For multimedia devices, the screen display range is Maximum distance in direction; when When the screen brightness of the multimedia device is adjusted, it means that the brightness is increased. When , it means that the brightness of the multimedia device screen is reduced when adjusting; In specific implementation, the display mode is adopted for users with higher attention. Considering the health habits when actually watching the screen, the reference display distance is set. When the user is close, the screen brightness is appropriately reduced to reduce the user's visual pressure. When the user is far away, the screen brightness is appropriately increased to improve the image information display effect. For viewers with lower attention, the energy-saving mode is adopted. Considering that the user's angle deviation is large and the effect of receiving screen image information is poor, the screen brightness is appropriately reduced to reduce the energy consumption of high-brightness display under low information transmission efficiency. In addition, when the screen attention data of all personnel is 0 or there is no person in the display area, the brightness adjustment target value is , ensuring that the minimum visible brightness can be maintained to prevent the content from being unrecognizable due to low brightness.

[0022] Step S400 includes the following contents: Calculate the attention of each person in the environment of the multimedia device screen to the multimedia device screen, extract the person with the highest attention to the multimedia device screen as the multimedia device screen display object, and calculate the target value of the multimedia device screen brightness adjustment for this person ; Set the brightness adjustment time window T and brightness adjustment steps , record the screen brightness adjustment time of the multimedia device each time, and make adjustment strategy decisions on the screen brightness of the multimedia device through threshold judgment; If the time from the last screen brightness adjustment exceeds the brightness adjustment time window, it is determined that the screen brightness can be adjusted at the current time point; if the time from the last screen brightness adjustment does not exceed the brightness adjustment time window, it is determined that the screen brightness adjustment frequency is high and the screen brightness cannot be adjusted at the current time point; If the absolute value of the difference between the target value of the multimedia device screen brightness adjustment for the display object and the current brightness of the multimedia device screen is greater than or equal to the brightness adjustment step , determine that the current brightness of the multimedia device screen exceeds the applicable range, The brightness of the multimedia device screen is adjusted for the brightness adjustment target value; if the absolute value of the difference between the brightness adjustment target value of the multimedia device screen for the display object and the current brightness of the multimedia device screen is less than the brightness adjustment step , determine that the current brightness of the multimedia device screen does not exceed the applicable range, and do not adjust the brightness; In the specific implementation, if there are conditions such as frequent changes in ambient lighting and frequent changes in user orientation data, the system will cause high-frequency calculation and analysis and high-frequency adjustment of the screen brightness of the multimedia device, resulting in additional energy consumption due to redundant calculations and frequent adjustments of the system. Therefore, the adjustment time window and brightness adjustment steps are set to appropriately restrict the screen brightness adjustment operation to avoid the above problems.

[0023] like Figure 2 As shown, the present invention also provides an artificial intelligence-based multimedia device energy consumption management system, the system comprising: an environment monitoring unit, a data acquisition module, a data analysis module, and an energy consumption management module; The environmental monitoring unit monitors the light intensity of the environment in which the multimedia device screen is located in real time; the data acquisition module obtains the preset display brightness of the multimedia device screen under different light intensities, obtains the brightness adjustment curve of the multimedia device screen, and also collects the display orientation information and orientation information of the multimedia device screen, and the facial data and orientation information of each person in the environment; the data analysis module analyzes the attention of each person to the multimedia device screen, and calculates the brightness adjustment target value of the multimedia device screen for each person; the energy consumption management module sets the brightness adjustment time window and the brightness adjustment ladder, adjusts the brightness of the multimedia device screen through threshold judgment, and optimizes energy consumption management.

[0024] The data collection module includes: equipment data collection unit and personnel data monitoring unit; The device data acquisition unit is used to obtain the multimedia device screen brightness adjustment curve according to the preset display brightness of the multimedia device screen under different light intensities, and is also used to collect the display orientation information and orientation information of the multimedia device screen; the personnel data monitoring unit is used to monitor the facial data and orientation information of each person in the environment in real time.

[0025] The data analysis module includes: a personnel orientation analysis unit, an attention calculation unit, and a brightness adjustment target value analysis unit; The person orientation analysis unit analyzes the facial orientation information of the persons in the environment based on the facial data of each person; the attention calculation unit is used to calculate the attention of each person to the multimedia device screen; the brightness adjustment target value analysis unit comprehensively analyzes the brightness adjustment target value of the multimedia device screen for each person based on the calculation result of each person's attention to the multimedia device screen.

[0026] The energy consumption management module includes: a time window judgment unit, a brightness step judgment unit, and a screen brightness adjustment unit; The time window judgment unit sets the brightness adjustment time window to make a judgment on the screen brightness adjustment frequency at the current time point; the brightness step judgment unit sets the brightness adjustment step to make a judgment on the current screen brightness adjustment target value; the screen brightness adjustment unit adjusts the screen brightness of the multimedia device according to the judgment result.

[0027] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A multimedia device energy consumption management method based on artificial intelligence, characterized in that ,The method is divided into the following analysis steps: Step S100: obtaining a preset display brightness of the multimedia device screen under different light intensities, and obtaining a brightness adjustment curve of the multimedia device screen by using curve fitting; Step S200: using sensors to monitor in real time the facial data of each person in the environment where the multimedia device screen is located, obtaining the sight direction data of each person, and calculating the attention degree of each person to the multimedia device screen; Step S300: According to the display range of the multimedia device screen and the real-time position of each person, comprehensively calculate and analyze the target value of brightness adjustment of the multimedia device screen for each person in the environment; Step S400: according to the attention paid by each person to the multimedia device screen and the target value of the multimedia device screen brightness adjustment for each person in the environment, a multimedia device screen brightness adjustment strategy is set to optimize the energy consumption management of the multimedia device.

2. The method for managing multimedia device energy consumption based on artificial intelligence according to claim 1, characterized in that: The step S100 includes the following contents: Extract factory setting data of multimedia devices, obtain preset screen brightness data of multimedia devices under different ambient light intensities, and use curve fitting to obtain screen brightness adjustment curve of multimedia devices; If the screen brightness of the multimedia device under different ambient light intensities is not preset at the factory, the brightness adjustment data of the administrator under different ambient light intensities is obtained, and the screen brightness adjustment curve of the multimedia device is obtained by using curve fitting.

3. The method for managing multimedia device energy consumption based on artificial intelligence according to claim 1, characterized in that: The step S200 is divided into the following steps: Step S210: obtaining information on the display orientation of the multimedia device screen, and using a facial recognition sensor to obtain facial data of each person in the environment where the multimedia device screen is located; Step S220: construct a three-dimensional coordinate system for the environment where the multimedia device screen is located, and mark the unit vector of the multimedia device screen display orientation and the location information of each person in the environment; among them, The center of the multimedia device screen is taken as the starting point, and the display direction of the multimedia device screen is taken as the positive direction; For any person p, the position information is recorded as ;in, is the unit vector of person p's face orientation, starting from the midpoint of person p's eyes and with the face orientation as the positive direction; is the unit vector of the direction of the line connecting person p and the multimedia device screen, starting from the midpoint of person p's eyes and ending at the center of the multimedia device screen; It is a visible mark of the multimedia device screen to the person P. If there is no obstruction in the direction of the line connecting the person P and the multimedia device screen, If there is an obstruction in the direction of the line between person p and the multimedia device screen, ; Step S230: Calculate the attention degree of each person in the environment where the multimedia device screen is located to the multimedia device screen.

4. The method for managing multimedia device energy consumption based on artificial intelligence according to claim 3, characterized in that: The method for calculating the attention degree of each person in the environment where the multimedia device screen is located to the multimedia device screen in step S200 is as follows: For any person p, obtain the person's position information, and calculate the sight angle factor and display angle factor of the person p's attention to the multimedia device screen according to the following formula: ； ； in, is the sight angle factor, To show the angular factor, To obtain the maximum value function, For vector and vector Angle, To represent the vector and vector The constant of the maximum effective viewing angle of the person in the plane, For vector and vector Negative angle, To represent the vector and vector The constant of the maximum display angle of the multimedia device screen in the plane; Then according to the formula: , calculate the attention of personnel p to the multimedia device screen ; The identification is visible to person p on the multimedia device screen.

5. The method for managing multimedia device energy consumption based on artificial intelligence according to claim 1, characterized in that: The step S300 includes the following contents: Monitor the ambient light intensity of the multimedia device screen in real time, and use curve matching to obtain the preset brightness of the multimedia device screen according to the multimedia device screen brightness adjustment curve ; Mark the display range of the multimedia device screen in the environment, monitor the positions of each person in the environment where the multimedia device screen is located in real time, measure the distance between each person and the center point of the multimedia device screen, and correct the attention of people outside the display range of the multimedia screen to the multimedia device screen to 0; Set the attention threshold. For any person p, if the attention is greater than or equal to the attention threshold, adjust the multimedia device screen to display mode, and adjust the brightness of the multimedia device screen to the target value for person p. The calculation formula is as follows: ； Where l is the distance between person p and the center point of the multimedia device screen, Preset reference display distance for multimedia device screens; is the display mode brightness adjustment coefficient, when hour, ,when hour, ; If the attention level is less than the attention level threshold, the multimedia device screen is adjusted to the energy-saving mode, and the multimedia device screen adjusts the brightness to the target value for the person p The calculation formula is as follows: ； in, is the brightness adjustment coefficient of energy saving mode, is the attention of person p to the multimedia device screen, l is the distance between person p and the center point of the multimedia device screen, For multimedia devices, the screen display range is Maximum distance in direction; when When the screen brightness of the multimedia device is adjusted, it means that the brightness is increased. , it means that the brightness of the multimedia device screen is reduced when it is adjusted.

6. The method for managing multimedia device energy consumption based on artificial intelligence according to claim 5, characterized in that: The step S400 includes the following contents: Calculate the attention of each person in the environment of the multimedia device screen to the multimedia device screen, extract the person with the highest attention to the multimedia device screen as the multimedia device screen display object, and calculate the target value of the multimedia device screen brightness adjustment for this person ; Set the brightness adjustment time window T and brightness adjustment steps , record the screen brightness adjustment time of the multimedia device each time, and make adjustment strategy decisions on the screen brightness of the multimedia device through threshold judgment; If the time from the last screen brightness adjustment exceeds the brightness adjustment time window, it is determined that the screen brightness can be adjusted at the current time point; if the time from the last screen brightness adjustment does not exceed the brightness adjustment time window, it is determined that the screen brightness adjustment frequency is high and the screen brightness cannot be adjusted at the current time point; If the absolute value of the difference between the target value of the multimedia device screen brightness adjustment for the display object and the current brightness of the multimedia device screen is greater than or equal to the brightness adjustment step , determine that the current brightness of the multimedia device screen exceeds the applicable range, Adjusting the brightness of the multimedia device screen for a brightness adjustment target value; If the absolute value of the difference between the target value of the multimedia device screen for displaying the object and the current brightness of the multimedia device screen is less than the brightness adjustment step , it is determined that the current brightness of the multimedia device screen does not exceed the applicable range and no brightness adjustment is performed.

7. An artificial intelligence-based multimedia device energy consumption management system, applying an artificial intelligence-based multimedia device energy consumption management method according to any one of claims 1 to 6, characterized in that: The system includes: an environmental monitoring unit, a data acquisition module, a data analysis module, and an energy consumption management module; The environmental monitoring unit monitors the light intensity of the environment in which the multimedia device screen is located in real time; the data acquisition module obtains the preset display brightness of the multimedia device screen under different light intensities, obtains the brightness adjustment curve of the multimedia device screen, and also collects the display orientation information and orientation information of the multimedia device screen, and the facial data and orientation information of each person in the environment; the data analysis module analyzes the attention of each person to the multimedia device screen, and calculates the brightness adjustment target value of the multimedia device screen for each person; the energy consumption management module sets the brightness adjustment time window and the brightness adjustment ladder, adjusts the brightness of the multimedia device screen through threshold judgment, and optimizes energy consumption management.

8. The multimedia device energy consumption management system based on artificial intelligence according to claim 7, characterized in that: The data acquisition module includes: an equipment data acquisition unit and a personnel data monitoring unit; The device data acquisition unit is used to obtain the multimedia device screen brightness adjustment curve according to the preset display brightness of the multimedia device screen under different light intensities, and is also used to collect the display orientation information and orientation information of the multimedia device screen; the personnel data monitoring unit is used to monitor the facial data and orientation information of each person in the environment in real time.

9. The multimedia device energy consumption management system based on artificial intelligence according to claim 7, characterized in that: The data analysis module includes: a personnel orientation analysis unit, an attention calculation unit, and a brightness adjustment target value analysis unit; The person orientation analysis unit analyzes the facial orientation information of the persons in the environment based on the facial data of each person; the attention calculation unit is used to calculate the attention of each person to the multimedia device screen; the brightness adjustment target value analysis unit comprehensively analyzes the brightness adjustment target value of the multimedia device screen for each person based on the calculation result of each person's attention to the multimedia device screen.

10. The multimedia device energy consumption management system based on artificial intelligence according to claim 7, characterized in that: The energy consumption management module includes: a time window judgment unit, a brightness step judgment unit, and a screen brightness adjustment unit; The time window judgment unit sets the brightness adjustment time window to make a judgment on the screen brightness adjustment frequency at the current time point; the brightness step judgment unit sets the brightness adjustment step to make a judgment on the current screen brightness adjustment target value; the screen brightness adjustment unit adjusts the screen brightness of the multimedia device according to the judgment result.

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