A method to reduce the power consumption of pressure-sensitive screens

Abstract

This invention relates to the field of touch technology and discloses a method for reducing the power consumption of a pressure-sensitive screen. The method includes S1, collecting pressure distribution data on the pressure-sensitive screen in real time and generating a pressure distribution matrix; S2, performing pressure-sensitive screen usage status judgment processing based on the pressure distribution matrix, generating screen usage status identification data, and executing a screen sleep operation when the screen is determined to be in an unused state. By collecting pressure distribution data in real time and establishing a pressure distribution matrix, combined with an intelligent status judgment mechanism, the usage status of the screen is identified, avoiding invalid power consumption caused by misjudgment. At the same time, the sleep operation is automatically triggered in the unused state, reducing static power consumption and improving the intelligent level of energy efficiency management of the system. Through effective touch area recognition and zoned power consumption control, the screen is divided into a high-power working area and a low-power standby area, realizing refined power management for different areas.

Description

Technical Field

[0001] This invention relates to the field of touch technology, specifically to a method for reducing the power consumption of pressure-sensitive screens. Background Technology

[0002] As people's living standards improve, various types of terminals, such as smartphones and tablets, are being used more and more widely in people's production and life. The displays of existing terminals usually use pressure-sensitive screens with pressure sensors integrated in the screen module. Pressure-sensitive screens allow users to perform some quick operations by pressing the screen, bringing users a different touch experience.

[0003] Currently, because pressure-sensitive screens need to continuously monitor the pressure distribution across the entire area during operation, the sensor arrays equipped with them sample the entire screen area at a fixed frequency when performing power consumption optimization control. This makes it impossible to distinguish the power consumption requirements of effective touch areas and non-touch areas in real time. If the non-use areas of the screen still maintain a high power consumption state, it will cause ineffective energy loss.

[0004] Therefore, a method to reduce the power consumption of pressure-sensitive screens is proposed to solve the above problems. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a method for reducing the power consumption of pressure-sensitive screens. This solves the problem mentioned in the background technology that the sensor array cannot distinguish between effective touch areas and non-touch areas in real time, and that if the non-use areas of the screen still maintain a high power consumption state, it will cause ineffective energy loss.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for reducing the power consumption of a pressure-sensitive screen, the method comprising the following steps:

[0007] S1. Real-time acquisition of pressure distribution data on the pressure sensing screen and generation of a pressure distribution matrix;

[0008] S2. Based on the pressure distribution matrix, perform pressure sensor screen usage status judgment processing to generate screen usage status identification data. When the screen is judged to be in an unused state, execute screen sleep operation.

[0009] S3. When it is determined that the device is in use, perform effective touch area recognition processing of the pressure-sensitive screen and generate effective touch area coordinate data.

[0010] S4. Perform pressure-sensitive screen partition power consumption control processing based on effective touch area coordinate data, dividing the screen into a high-power working area and a low-power standby area.

[0011] S5. Perform touch pressure intensity analysis and processing based on the pressure distribution matrix to generate pressure intensity level data;

[0012] S6. Based on the pressure intensity level data, adaptively adjust the sampling frequency of the pressure sensing screen to generate dynamic sampling frequency configuration data.

[0013] S7. Perform pressure-sensitive screen refresh rate collaborative control processing to generate screen refresh rate optimization data;

[0014] S8. Combine dynamic sampling frequency configuration data and screen refresh rate optimization data to perform power optimization strategy integration and generate comprehensive power optimization strategy data.

[0015] S9. Perform pressure-sensing screen power consumption regulation and execution processing based on comprehensive power consumption optimization strategy data to generate screen power consumption optimization execution data;

[0016] S10. Perform power optimization effect monitoring and feedback processing, generate power optimization effect evaluation data, and dynamically adjust the power optimization strategy accordingly.

[0017] Preferably, the step S1 of collecting pressure distribution data on the pressure sensing screen includes the following steps:

[0018] S11. The pressure value at various locations on the screen surface is collected in real time through the pressure sensor array built into the pressure-sensing screen.

[0019] S12. Arrange the collected pressure values ​​according to the physical location of the sensors to form a pressure distribution matrix P, where P[i][j] represents the pressure value at the sensor location in the i-th row and j-th column.

[0020] S13. Perform data preprocessing on the pressure distribution matrix P, including filtering and noise reduction and outlier correction.

[0021] Preferably, the screen sleep operation performed in S2 includes the following steps:

[0022] S21. Calculate the sum and average value of all pressure values ​​in the pressure distribution matrix P;

[0023] The formula for calculating the sum of all pressure values ​​is:

[0024] ;

[0025] in, Represents the total pressure. Let m represent the pressure value in the i-th row and j-th column, m represent the number of rows in the matrix, and n represent the number of columns in the matrix.

[0026] The formula for calculating the average value is:

[0027] ;

[0028] in, This represents the average pressure. Let m represent the total pressure, and n represent the number of rows and columns of the pressure distribution matrix, respectively.

[0029] S22. Set a pressure threshold. When the sum of the pressure values ​​is less than the first threshold and the average pressure value is less than the second threshold, the screen is determined to be in an unused state.

[0030] S23. When the screen is determined to be in an unused state, a screen sleep command is generated to control the pressure-sensitive screen to enter a low-power sleep mode.

[0031] S24. When the screen is determined to be in use, generate screen usage status identifier data and continue to execute subsequent processing steps.

[0032] Preferably, the effective touch area recognition processing of the pressure-sensitive screen in S3 includes the following steps:

[0033] S31. Perform region clustering analysis on the pressure distribution matrix P to identify regions where pressure values ​​are concentrated;

[0034] S32. Based on the cluster analysis results, determine the boundary coordinates of the effective touch area;

[0035] S33. Generate effective touch area coordinate data based on the boundary coordinates, including the area center coordinates and area range data.

[0036] Preferably, the power consumption control processing of the pressure sensing screen partition in S4 includes the following steps:

[0037] S41. Based on the effective touch area coordinate data, the pressure-sensitive screen is divided into two areas: a high-power working area containing the effective touch area and a low-power standby area not containing the effective touch area.

[0038] S42. Maintain normal power supply to the high-power operating area and respond normally to touch functions;

[0039] S43. Power gating technology is used in the low-power standby area to reduce the power supply voltage of the area and shut down some functional circuits.

[0040] S44. Monitor changes in the touch area in real time and dynamically adjust the division range of high and low power consumption areas.

[0041] Preferably, the touch pressure intensity analysis and processing in S5 includes the following steps:

[0042] S51. Analyze the pressure value distribution characteristics at each location in the pressure distribution matrix P;

[0043] S52. The touch pressure is divided into multiple intensity levels according to the pressure value;

[0044] S53. Statistically analyze the distribution and duration of each intensity level;

[0045] S54. Generate pressure intensity level data based on statistical analysis results, including main pressure levels and pressure change trend data.

[0046] Preferably, the adaptive adjustment of the pressure sensing screen sampling frequency in step S6 includes the following steps:

[0047] S61. Establish a mapping table between pressure intensity levels and sampling frequencies;

[0048] S62. Query the recommended sampling frequency based on the current pressure intensity level data, using the following formula:

[0049] ;

[0050] in, Indicates the dynamic sampling frequency. This represents the average pressure value, and k represents the proportional adjustment coefficient, which ranges from 0.5 to 2.0 and is preset according to the equipment type.

[0051] S63. Generate dynamic sampling frequency configuration data based on the recommended sampling frequency;

[0052] S64. Based on the trend of pressure changes, predict the future sampling frequency requirements and adjust the sampling frequency in advance.

[0053] Preferably, the pressure-sensing screen refresh rate collaborative control processing in S7 includes the following steps:

[0054] S71, monitor the current screen refresh rate and usage status;

[0055] S72. Determine the optimal refresh rate based on pressure distribution characteristics and touch operation type;

[0056] S73. Minimize the screen refresh rate as much as possible while ensuring user experience;

[0057] S74. Generate screen refresh rate optimization data, including target refresh rate value and refresh rate adjustment timing data.

[0058] Preferably, the power optimization strategy integration process in S8 includes the following steps:

[0059] S81, integrates dynamic sampling frequency configuration data and screen refresh rate optimization data;

[0060] S82. Consider the equipment's power status and ambient lighting conditions;

[0061] S83. Generate comprehensive power consumption optimization strategy data, including collaborative configuration data for partitioned power supply scheme, sampling frequency scheme, and refresh rate scheme;

[0062] S84. Optimize the coordination relationship between various power consumption control parameters to avoid parameter conflicts.

[0063] Preferably, the power consumption control process of the S9 pressure-sensing screen includes the following steps:

[0064] S91. Parse the comprehensive power consumption optimization strategy data and generate specific power consumption control instructions;

[0065] S92. Perform zoned power supply control and adjust the power supply parameters of the high-power working area and the low-power standby area.

[0066] S93. Perform sampling frequency adjustment and reconfigure the pressure sensor sampling frequency according to the dynamic sampling frequency configuration data;

[0067] S94. Perform refresh rate adjustment, adjust the screen refresh rate according to the screen refresh rate optimization data;

[0068] S95. Generate screen power consumption optimization execution data and record the execution status and effect data of various power consumption optimization measures.

[0069] Beneficial effects

[0070] Compared with the prior art, the present invention provides a method for reducing the power consumption of pressure-sensitive screens, which has the following beneficial effects:

[0071] 1. In this invention, when optimizing the power consumption of the pressure-sensing screen, pressure distribution data is collected in real time and a pressure distribution matrix is ​​established. Combined with an intelligent state judgment mechanism, the usage status of the screen is accurately identified, avoiding invalid power consumption caused by misjudgment. At the same time, a sleep operation is automatically triggered when the screen is not in use, reducing static power consumption and improving the intelligent level of energy efficiency management of the system.

[0072] 2. In this invention, when optimizing the power consumption of the pressure-sensitive screen, the screen is divided into a high-power working area and a low-power standby area by effectively identifying the touch area and controlling the power consumption of the partition. This enables refined power management of different areas, reduces energy loss in non-touch areas, and minimizes overall power consumption while ensuring user experience.

[0073] 3. In this invention, when optimizing the power consumption of the pressure-sensitive screen, the sensor sampling frequency is dynamically adjusted according to the actual touch pressure through pressure intensity analysis and adaptive adjustment of the sampling frequency. This avoids the power waste caused by a fixed sampling rate. At the same time, combined with refresh rate collaborative control, multi-parameter collaborative optimization is achieved to improve energy efficiency ratio and system response efficiency. Attached Figure Description

[0074] Figure 1 This is a flowchart of a method for reducing the power consumption of a pressure-sensitive screen according to the present invention. Detailed Implementation

[0075] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0076] Specific embodiment: A method for reducing the power consumption of a pressure-sensitive screen, the method includes the following steps:

[0077] S1. Real-time acquisition of pressure distribution data on the pressure sensing screen and generation of a pressure distribution matrix;

[0078] S2. Based on the pressure distribution matrix, the pressure sensor screen usage status is determined and processed to generate screen usage status identification data. When the screen is determined to be in an unused state, the screen sleep operation is executed.

[0079] S3. When it is determined that the device is in use, perform effective touch area recognition processing of the pressure-sensitive screen and generate effective touch area coordinate data.

[0080] S4. Perform pressure-sensitive screen partition power consumption control processing based on effective touch area coordinate data, dividing the screen into a high-power working area and a low-power standby area.

[0081] S5. Perform touch pressure intensity analysis and processing based on the pressure distribution matrix to generate pressure intensity level data;

[0082] S6. Based on the pressure intensity level data, adaptively adjust the sampling frequency of the pressure sensing screen to generate dynamic sampling frequency configuration data.

[0083] S7. Perform pressure-sensitive screen refresh rate collaborative control processing to generate screen refresh rate optimization data;

[0084] S8. Combine dynamic sampling frequency configuration data and screen refresh rate optimization data to perform power optimization strategy integration and generate comprehensive power optimization strategy data.

[0085] S9. Perform pressure-sensing screen power consumption regulation and execution processing based on comprehensive power consumption optimization strategy data to generate screen power consumption optimization execution data;

[0086] S10. Perform power optimization effect monitoring and feedback processing, generate power optimization effect evaluation data, and dynamically adjust the power optimization strategy accordingly.

[0087] S1 collects pressure distribution data on the pressure sensing screen, including the following steps:

[0088] S11. The pressure value at various locations on the screen surface is collected in real time through the pressure sensor array built into the pressure-sensing screen.

[0089] S12. Arrange the collected pressure values ​​according to the physical location of the sensors to form a pressure distribution matrix P, where P[i][j] represents the pressure value at the sensor location in the i-th row and j-th column.

[0090] S13. Perform data preprocessing on the pressure distribution matrix P, including filtering and noise reduction and outlier correction.

[0091] Performing a screen sleep operation in S2 includes the following steps:

[0092] S21. Calculate the sum and average of all pressure values ​​in the pressure distribution matrix P;

[0093] The formula for calculating the sum of all pressure values ​​is:

[0094] ;

[0095] in, Represents the total pressure. Let m represent the pressure value in the i-th row and j-th column, m represent the number of rows in the matrix, and n represent the number of columns in the matrix.

[0096] The formula for calculating the average value is:

[0097] ;

[0098] in, This represents the average pressure. Let m represent the total pressure, and n represent the number of rows and columns of the pressure distribution matrix, respectively.

[0099] S22. Set a pressure threshold. When the total pressure value is less than the first threshold and the average pressure value is less than the second threshold, the screen is determined to be in an unused state.

[0100] S23. When the screen is determined to be in an unused state, a screen sleep command is generated to control the pressure-sensitive screen to enter a low-power sleep mode.

[0101] S24. When the screen is determined to be in use, generate screen usage status identifier data and continue to execute subsequent processing steps.

[0102] The effective touch area recognition and processing of the pressure-sensitive screen in S3 includes the following steps:

[0103] S31. Perform regional clustering analysis on the pressure distribution matrix P, preferably using a density-based noise spatial clustering algorithm to identify regions with concentrated pressure values.

[0104] The pressure density of clustered regions is calculated using the following formula:

[0105] ;

[0106] in, This represents the pressure density of the clustered regions, where c represents the region number of the current cluster. This represents the pressure value of the k-th sensor within the cluster region. This represents the area of ​​the cluster region;

[0107] S32. Based on the cluster analysis results, determine the boundary coordinates of the effective touch area;

[0108] S33. Generate valid touch area coordinate data based on boundary coordinates, including the area center coordinates and area range data.

[0109] The power consumption control process for the pressure-sensing screen partition in S4 includes the following steps:

[0110] S41. Based on the coordinate data of the effective touch area, the pressure-sensitive screen is divided into two areas: a high-power working area containing the effective touch area and a low-power standby area not containing the effective touch area.

[0111] S42. Maintain normal power supply to the high-power operating area and respond normally to touch functions;

[0112] S43. Power gating technology is used in the low-power standby area to reduce the power supply voltage of the area and shut down some functional circuits.

[0113] S44. Monitor changes in the touch area in real time and dynamically adjust the division range of high and low power consumption areas;

[0114] Calculate the overlap ratio of the old and new effective touch areas using the following formula:

[0115] ;

[0116] in, Indicates the overlap ratio. Indicates the area of ​​the overlapping region. This indicates the area of ​​the currently detected effective touch area. This indicates the area of ​​the previously effective touch area; when the overlap ratio is lower than a preset threshold, the high and low power consumption areas are redefined.

[0117] The touch pressure intensity analysis and processing in S5 includes the following steps:

[0118] S51. Analyze the pressure value distribution characteristics at each location in the pressure distribution matrix P;

[0119] S52. Based on the pressure value, the touch pressure is divided into multiple intensity levels, which can be specifically divided into three levels: light touch, standard, and heavy pressure;

[0120] S53. Statistically analyze the distribution and duration of each intensity level;

[0121] S54. Generate pressure intensity level data based on statistical analysis results, including main pressure levels and pressure change trend data.

[0122] The S6 pressure sensor screen sampling frequency adaptive adjustment process includes the following steps:

[0123] S61. Establish a mapping table between pressure intensity levels and sampling frequencies;

[0124] S62. Query the recommended sampling frequency based on the current pressure intensity level data, using the following formula:

[0125] ;

[0126] in, Indicates the dynamic sampling frequency. The value represents the average pressure, and k represents the proportional adjustment coefficient, which ranges from 0.5 to 2.0. The determination of k requires a trade-off between response speed and power consumption and should be preset according to the equipment type.

[0127] S63. Generate dynamic sampling frequency configuration data based on the recommended sampling frequency;

[0128] S64. Based on the trend of pressure changes, predict the future sampling frequency requirements and adjust the sampling frequency in advance.

[0129] The pressure-sensitive screen refresh rate co-control processing in S7 includes the following steps:

[0130] S71, monitor the current screen refresh rate and usage status;

[0131] S72. Determine the optimal refresh rate based on pressure distribution characteristics and touch operation type;

[0132] Operation type identification: It is identified by monitoring the changes in the coordinates of the center point of the pressure area: if the center point moves continuously, it is a "slide" operation; if the pressure value rises rapidly and then falls while the center point remains stable, it is a "tap" operation; if the pressure value continues to exceed the threshold while the center point remains stable, it is a "long press" operation.

[0133] Refresh rate mapping: Establish a mapping relationship between operation type, pressure intensity and refresh rate. "Click" operation does not require a high refresh rate and is locked at 60Hz; "swipe" operation adjusts the refresh rate linearly from 60Hz to 120Hz according to the swipe speed; "heavy pressure" preview operation can be temporarily boosted to 90Hz.

[0134] S73. Minimize the screen refresh rate as much as possible while ensuring user experience;

[0135] S74. Generate screen refresh rate optimization data, including target refresh rate value and refresh rate adjustment timing data.

[0136] The power optimization strategy integration process in S8 includes the following steps:

[0137] S81, integrates dynamic sampling frequency configuration data and screen refresh rate optimization data;

[0138] S82. Consider the equipment's power status and ambient lighting conditions;

[0139] S83. Generate comprehensive power consumption optimization strategy data, including collaborative configuration data for partitioned power supply scheme, sampling frequency scheme, and refresh rate scheme;

[0140] S84. Optimize the coordination relationship between various power consumption control parameters to avoid parameter conflicts;

[0141] The integrated strategy adopts a priority-weighted decision-making model. By designing a state machine, it integrates input states such as power consumption, ambient light, and application scenario, queries a pre-set strategy table, and outputs the optimal combination of power-saving technologies to be activated and their parameters.

[0142] Core principle: Ensuring smooth basic operations is the highest priority, followed by saving power.

[0143] The S9 pressure-sensitive screen power consumption regulation process includes the following steps:

[0144] S91. Parse the comprehensive power consumption optimization strategy data and generate specific power consumption control instructions;

[0145] S92. Perform zoned power supply control and adjust the power supply parameters of the high-power working area and the low-power standby area.

[0146] S93. Perform sampling frequency adjustment and reconfigure the pressure sensor sampling frequency according to the dynamic sampling frequency configuration data;

[0147] S94. Perform refresh rate adjustment, adjust the screen refresh rate according to the screen refresh rate optimization data;

[0148] S95. Generate screen power consumption optimization execution data and record the execution status and effect data of various power consumption optimization measures.

[0149] The power consumption optimization effect is monitored and feedback is processed in S10, including the following steps:

[0150] S101. Real-time monitoring of power consumption optimization effects, focusing on the power consumption difference between the working area and the standby area, the actual operation of the dynamic sampling frequency, and the impact of refresh rate adjustment on power consumption;

[0151] S102. Analyze monitoring data and generate power consumption optimization effect evaluation data to provide a basis for strategy adjustment;

[0152] S103. Optimize strategies in real time based on assessment data to improve system energy efficiency;

[0153] S104. Final output optimization log, applicable to device firmware updates and user reports.

[0154] The steps of this method are as follows:

[0155] Step 1: Real-time pressure data acquisition and processing

[0156] Pressure distribution matrix construction: Real-time collection of pressure values ​​across the entire area via the screen's built-in sensor array, arranged according to physical location to form a pressure distribution matrix, which is then preprocessed with noise reduction and outlier correction; Intelligent judgment of usage status: Calculation of the total and average values ​​of the pressure matrix, if both are below a preset threshold, it is determined to be in an unused state and a sleep mode is triggered; otherwise, it is marked as in a used state and proceeds to subsequent processing.

[0157] Step 2: Dynamic Region Power Consumption Control

[0158] Effective touch area recognition: Cluster analysis is performed on the pressure matrix to identify areas of concentrated pressure, calculate the pressure density and determine the boundary coordinates, and output the center position and range data of the area; Zoned power supply execution: Based on the coordinate data, a high-power working area is divided to maintain normal power supply and a low-power standby area is divided. Power gating technology is used to reduce voltage and shut down the circuit, and the zoning is dynamically adjusted in real time by monitoring changes in the touch area.

[0159] Step 3: Adaptive parameter adjustment

[0160] Pressure intensity grading analysis: Statistically analyze the distribution characteristics of pressure values, divide them into multiple intensity levels, and record the duration and trend of each pressure level; Dynamic adjustment of sampling frequency: Establish a mapping relationship between pressure level and sampling frequency, dynamically adjust the sampling frequency based on the average pressure value according to a proportional coefficient, and predict trends to adjust in advance; Cooperative optimization of refresh rate: Combine pressure distribution characteristics and operation type to reduce the screen refresh rate to the lowest feasible value while ensuring the user experience, and generate target refresh rate and adjustment timing schemes.

[0161] Step 4: Global Strategy Integration and Execution

[0162] By integrating partitioned power supply, dynamic sampling frequency, and refresh rate optimization schemes, and taking into account device power consumption and ambient light factors, a conflict-free comprehensive power consumption optimization strategy is generated. The strategy is then analyzed to generate control commands: adjusting screen partitioned power supply parameters, reconfiguring sensor sampling frequency, dynamically adjusting screen refresh rate, and recording the performance data of each measure.

[0163] Step 5: Closed-loop optimization mechanism

[0164] Real-time monitoring of power consumption optimization effects, dynamic correction of optimization strategies based on evaluation data, forming a closed-loop control for continuous improvement.

[0165] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0166] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for reducing power consumption of a pressure sensitive screen, the method comprising: The method comprises the following steps: ​ S1, real-time acquisition of pressure distribution data on the pressure-sensitive screen, and generation of a pressure distribution matrix; S2, pressure-sensitive screen usage state judgment processing based on the pressure distribution matrix, generation of screen usage state identification data, when the screen is determined to be in an unused state, execution of a screen sleep operation; S3, when the screen is determined to be in a used state, effective touch area identification processing of the pressure-sensitive screen is performed, and effective touch area coordinate data is generated; S4, pressure-sensitive screen partition power consumption control processing according to the effective touch area coordinate data, the screen is divided into a high-power consumption working area and a low-power consumption standby area; S5, touch pressure intensity analysis processing based on the pressure distribution matrix, generation of pressure intensity level data; S6, pressure-sensitive screen sampling frequency adaptive adjustment processing according to the pressure intensity level data, generation of dynamic sampling frequency configuration data; The pressure-sensitive screen sampling frequency adaptive adjustment processing in S6 comprises the following steps: S61, establishment of a corresponding relationship mapping table between pressure intensity levels and sampling frequencies; S62, querying of a corresponding recommended sampling frequency according to the current pressure intensity level data, using the following formula: ； wherein, denotes a dynamic sampling frequency, denotes an average pressure value, k denotes a proportional adjustment coefficient, and the value range is 0.5 to 2.0, which is preset according to the device type; S63, generation of dynamic sampling frequency configuration data based on the recommended sampling frequency; S64, prediction of future sampling frequency requirements according to pressure change trends, and advance adjustment of the sampling frequency; S7, pressure-sensitive screen refresh rate collaborative control processing, generation of screen refresh rate optimization data; S8, power consumption optimization strategy integration processing combined with the dynamic sampling frequency configuration data and the screen refresh rate optimization data, generation of comprehensive power consumption optimization strategy data; S9, pressure-sensitive screen power consumption regulation and control execution processing based on the comprehensive power consumption optimization strategy data, generation of screen power consumption optimization execution data; S10, power consumption optimization effect monitoring and feedback processing, generation of power consumption optimization effect evaluation data and dynamic adjustment of the power consumption optimization strategy according to the data.

2. The method of claim 1, wherein: The acquisition of pressure distribution data on the pressure-sensitive screen in S1 comprises the following steps: S11, real-time acquisition of pressure values at each position on the screen surface by a pressure sensor array built into the pressure-sensitive screen; S12, arrangement of the acquired pressure values according to the physical positions of the sensors to form a pressure distribution matrix P, wherein P[i][j] represents the pressure value at the sensor position in the ith row and jth column; S13, data preprocessing of the pressure distribution matrix P, including filtering and denoising and outlier correction processing.

3. The method of claim 1, wherein: The execution of the screen sleep operation in S2 comprises the following steps: S21, calculation of the sum and average of all pressure values in the pressure distribution matrix P; The sum of all pressure values is calculated using the following formula: ； wherein represents the sum of the pressures, represents the pressure value of the i-th row and j-th column, m represents the number of rows of the matrix, and n represents the number of columns of the matrix; The average value is calculated using the following formula: ； wherein denotes the average value of the pressure, is the sum of the pressures, m and n are the number of rows and columns of the pressure distribution matrix, respectively; S22, setting of a pressure threshold, when the sum of the pressure values is less than a first threshold and the average pressure value is less than a second threshold, the screen is determined to be in an unused state; S23, when the screen is determined to be in an unused state, a screen sleep instruction is generated, and the pressure-sensitive screen is controlled to enter a low-power consumption sleep mode; S24, when the screen is determined to be in a used state, screen usage state identification data is generated, and subsequent processing steps are continued.

4. The method of claim 1, wherein: The pressure-sensitive screen effective touch area identification processing in S3 comprises the following steps: S31, region clustering analysis is performed on the pressure distribution matrix P to identify a region with concentrated pressure values; S32, boundary coordinates of an effective touch region are determined based on the clustering analysis result; S33, effective touch region coordinate data, including region center coordinates and region range data, are generated according to the boundary coordinates.

5. The method of claim 1, wherein: The S4 pressure-sensitive screen partition power consumption control process includes the following steps: S41, the pressure-sensitive screen is divided into two regions according to the effective touch region coordinate data: a high-power consumption work area containing the effective touch region and a low-power consumption standby area not containing the effective touch region; S42, the high-power consumption work area is kept in a normal power supply state and normally responds to touch functions; S43, the low-power consumption standby area adopts a power gating technology to reduce the power supply voltage of the area and turn off part of the functional circuits; S44, real-time monitoring of touch region changes is performed to dynamically adjust the partition range of the high and low power consumption areas.

6. The method of claim 1, wherein: The S5 touch pressure intensity analysis process includes the following steps: S51, the pressure value distribution characteristics of each position in the pressure distribution matrix P are analyzed; S52, the touch pressure is divided into multiple intensity levels according to the pressure value size; S53, the distribution and duration of each intensity level are counted; S54, pressure intensity level data, including main pressure levels and pressure change trend data, are generated based on the statistical analysis result.

7. The method of claim 1, wherein: The S7 pressure-sensitive screen refresh rate cooperative control process includes the following steps: S71, the current screen refresh rate and usage state are monitored; S72, the optimal refresh rate is determined according to the pressure distribution characteristics and touch operation type; S73, the screen refresh rate is reduced as much as possible under the premise of ensuring user experience; S74, screen refresh rate optimization data, including target refresh rate value and refresh rate adjustment timing data, are generated.

8. The method of claim 1, wherein: The S8 power consumption optimization strategy integration process includes the following steps: S81, dynamic sampling frequency configuration data and screen refresh rate optimization data are integrated; S82, device power state and environmental light conditions are considered; S83, comprehensive power consumption optimization strategy data, including cooperative configuration data of partition power supply scheme, sampling frequency scheme and refresh rate scheme, are generated; S84, the coordination relationship between various power consumption control parameters is optimized to avoid parameter conflicts.

9. The method of claim 1, wherein: The S9 pressure-sensitive screen power consumption regulation execution process includes the following steps: S91, the comprehensive power consumption optimization strategy data are analyzed to generate specific power consumption control instructions; S92, partition power supply control is executed to adjust the power supply parameters of the high-power consumption work area and the low-power consumption standby area; S93, sampling frequency adjustment is performed to reconfigure the pressure sensor sampling frequency according to the dynamic sampling frequency configuration data; S94, refresh rate adjustment is performed to adjust the screen refresh rate according to the screen refresh rate optimization data; S95, screen power consumption optimization execution data are generated to record the execution and effect data of various power consumption optimization measures.

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