Optimization method and system for improving stage mechanical control operation comfort

Abstract

The invention discloses a self-adaptive human factor optimization method and system for a stage mechanical control console, and the method comprises the steps: collecting skeleton key points, environment illumination and touch data of an operator in real time through a multi-modal sensor, building a four-dimensional comfort quantitative model (ergonomic adaptation, visual fatigue resistance, operation convenience and comprehensive score), and carrying out the calculation of the four-dimensional comfort quantitative model. And the table height, the inclination angle, the screen brightness and the color temperature are dynamically adjusted based on a reinforcement learning algorithm. A gradual damping factor is adopted in the adjusting process to avoid sudden change, a closed-loop verification and incremental learning mechanism is introduced, and man-machine-environment cooperative comfort is achieved. Tests show that after 8-hour operation, the lumbar vertebra pressure is reduced by 42%, the false touch rate is reduced to 3%, and the first-time adaptation result is achieved; and after 5 seconds, the subsequent login has zero delay. The method is especially suitable for high-strength and long-time stage mechanical control scenes.

Description

Technical Field

[0001] This invention relates to the field of stage machinery control technology, and in particular to an optimized method and system for improving the comfort of stage machinery control operation. Background Technology

[0002] Existing stage machinery control consoles generally use fixed heights and tilt angles, failing to consider the ergonomic differences among different operators. Prolonged operation can easily lead to lumbar and cervical spine fatigue. Simultaneously, in strong stage lighting and dynamic lighting environments, screen glare is severe, with a misreading rate of key parameters reaching as high as 30%. Furthermore, reliance on manual adjustments increases the risk of performance interruption by 20% due to adjustment lag. Traditional technologies adjust screen brightness using only a single light sensor, failing to address the multi-dimensional human-factor coupling problem. There is an urgent need for an adaptive system capable of real-time sensing, quantification, and elimination of operator fatigue and environmental interference. Summary of the Invention

[0003] The purpose of this invention is to provide an optimized method and system for improving the comfort of stage machinery control and operation, thereby solving the aforementioned problems existing in the prior art.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] In a first aspect, embodiments of this application provide an optimization method for improving the comfort of stage machinery control operation, applied to a stage machinery control console, the method comprising:

[0006] Sensors deployed on the console collect real-time data on the operator's physiological characteristics, posture, and operating habits. Physiological characteristics include height; posture data includes lumbar curvature, vertical distance between the line connecting the shoulder and elbow and the console surface, and the angle between the operator's line of sight and the screen normal; and operating habits include the area and frequency of hand hovering.

[0007] Based on physiological characteristic data, posture data, and operation habit data, a human posture estimation algorithm is used to generate personalized adjustment parameters, including the target height of the operating table, the target tilt angle, and the screen display parameters.

[0008] Based on personalized adjustment parameters, the electric lifting column is driven to adjust the vertical height of the operating platform to adapt to the operator's sitting / standing posture switching, and the rotating hinge is driven to adjust the tilt angle of the operating platform to optimize the arm operation force posture.

[0009] Simultaneously collect ambient lighting data from the stage control room, including the reflectivity of the screen area and the uniformity of illumination in the operation button area. Combined with the brightness and darkness characteristics of the screen display content, dynamically adjust the screen backlight brightness, contrast and color temperature to avoid visual fatigue.

[0010] Based on the adjusted console parameters, operator posture data and ambient lighting data are re-collected, and comfort indexes are calculated to verify the adjustment effect. If the improvement of comfort indexes does not reach the preset threshold, the adjustment parameters are iteratively optimized until the comfort requirements are met.

[0011] The system stores the operator's historical adjustment data, builds a personal comfort model through an incremental learning algorithm, and prioritizes using the operator's historical best parameters as the initial adjustment value when the operator logs in again.

[0012] In one possible implementation, the human pose estimation algorithm includes:

[0013] The image sensor captures images of the operator's upper body and extracts the three-dimensional coordinates of key skeletal points, including the shoulder, elbow, wrist, cervical spine, and lumbar spine.

[0014] The pose fit is calculated based on the coordinates of key skeleton points, where:

[0015] The ideal vertical distance between the line connecting the shoulder and elbow and the work surface is 50-70cm. If the actual distance deviates from the ideal value, the height adjustment score should be reduced.

[0016] The ideal angle between the operator's line of sight and the screen normal is less than or equal to 15°. If the actual angle is greater than 15°, the tilt angle adjustment score should be reduced.

[0017] The displacement variance of lumbar vertebrae is used to assess sitting stability; if the variance is greater than 5 cm, stability adjustment is triggered.

[0018] In one possible implementation, dynamically adjusting screen display parameters includes:

[0019] When the proportion of highlight pixels in the screen area exceeds 15%, the screen backlight brightness is increased to counteract reflections, and the screen color temperature is simultaneously increased from 6500K to 7500K to counteract warm light reflections with cool color light.

[0020] When the operator blinks more than 20 times per minute or the pupil diameter changes by more than 30%, the eye protection mode will be automatically activated to reduce the proportion of blue light on the screen and enlarge the font and line spacing.

[0021] In one possible implementation, the comfort index can be calculated using the following methods:

[0022] The formula for the ergonomic fit comfort index is:

[0023] H t =α*Hig ada +β*Ang ada +γ*Sta ada Hig ada Ang adaSta ada These are respectively height adaptation score, tilt angle adaptation score, and sitting posture stability score; α, β, and γ are the weighting coefficients for each comfort parameter.

[0024] The visual comfort index is calculated using the following formula:

[0025] V t =δ*Ref sco +ε*Foc sco +κ*Fat sco , where Ref sco Foc sco Fat sco These represent the reflection suppression score, focus stability score, and fatigue relief score, respectively; δ, ε, and k are the weighting coefficients for each visual comfort parameter.

[0026] The formula for the ease of use and comfort index is:

[0027] O t =μ*Lig mar +v*But mar Lig mar But mar These are the scores for uniform illumination and button recognition, respectively; μ and v are the weighting coefficients for the convenience parameter, respectively.

[0028] If we consider the overall comfort index If the rating is Exc, then all indicators do not need to be adjusted and the status quo can be maintained. If the rating is Ave, slight adjustments need to be made to the operators corresponding to the above comfort indicators. If the rating is Bad, then urgent adjustments are required.

[0029] In one possible implementation, the iterative optimization of the tuning parameters includes:

[0030] If the improvement in comfort index after adjustment is less than 5 points, the coupling effect of height and tilt angle is analyzed, and a secondary fine-tuning command is generated to simultaneously correct the height and tilt angle.

[0031] If the operator manually corrects the automatic adjustment result, the system will incorporate the correction value into the personal comfort model and increase the weight of that parameter by 30% in the next adjustment.

[0032] In one possible implementation, the sensor includes:

[0033] Image sensor, used to acquire operator images and ambient lighting data;

[0034] Depth sensor, used to acquire three-dimensional distance data between the operator and the control panel;

[0035] A light sensor is used to detect the real-time illuminance of the screen area and button area.

[0036] In one possible implementation, the adjustment of the electrically operated lifting column and the rotating hinge follows a gradual principle:

[0037] The step value for height adjustment is controlled by a height gradual adjustment factor to avoid sudden increases or decreases;

[0038] The tilt adjustment step value is controlled by the angle progressive adjustment factor to avoid rapid tilting.

[0039] Secondly, embodiments of this application provide a stage machinery control console system, including:

[0040] The data acquisition module is used to perform the aforementioned sensor data acquisition.

[0041] The processing module is used to execute the methods described above;

[0042] The execution module, including the electric lifting column and the rotating hinge, is used to adjust the operating panel parameters according to the instructions of the processing module.

[0043] The storage module is used to store the operator's personal comfort model and historical adjustment data.

[0044] The beneficial effects of this invention are as follows: This application provides an optimized method for improving the comfort of stage machinery control operation, applied to a stage machinery control console, and has the following beneficial effects compared with the prior art:

[0045] 1. Ergonomic optimization: Based on key skeletal points, the table height and tilt angle are dynamically adjusted, reducing lumbar spine pressure by 42% after 8 hours of operation.

[0046] 2. Relief of visual fatigue: By combining reflectivity and blink frequency to adjust screen brightness / color temperature in real time, the misread rate is reduced from 30% to 3%.

[0047] 3. Improved ease of use: The uniformity of illumination in the button area and the overlap rate of fingertips have been quantified, reducing the accidental touch rate from 12% to 3%.

[0048] 4. Closed-loop efficient verification: Reinforcement learning + incremental learning mechanism, initial adaptation in less than 5 seconds, zero latency for subsequent logins, and secondary fine-tuning when adjustments are ineffective.

[0049] The above overview is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of this application will become readily apparent from the accompanying drawings and the following detailed description. Attached Figure Description

[0050] Figure 1This is a flowchart of the method of the present invention;

[0051] Figure 2 This is a system hardware architecture diagram of the present invention;

[0052] Figure 3 This is a diagram illustrating the optimized method for improving the comfort of stage machinery control operation according to the present invention. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0054] Reference Figure 1 , Figure 2 and Figure 3 An optimization method for improving the comfort of stage machinery control operation is shown, applied to a stage machinery control console. The method includes:

[0055] S100: Real-time collection of operator's physiological characteristics, posture data and operating habits data through sensors deployed on the control panel. Physiological characteristics data include height, posture data includes lumbar curvature, vertical distance between the shoulder-elbow line and the control panel surface, and the angle between the operator's line of sight and the screen normal, and operating habits data includes hand hovering area and frequency.

[0056] S200: Based on physiological characteristic data, posture data and operation habit data, a human posture estimation algorithm is used to generate personalized adjustment parameters, including the target height of the operating table, the target tilt angle and the screen display parameters.

[0057] S300: Based on personalized adjustment parameters, drive the electric lifting column to adjust the vertical height of the operating table to adapt to the operator's sitting / standing posture switching, and drive the rotating hinge to adjust the tilt angle of the operating table to optimize the arm operation force posture.

[0058] S400 synchronously collects ambient lighting data from the stage control room, including the reflectivity of the screen area and the uniformity of lighting in the operation button area. Combined with the brightness and darkness characteristics of the screen display content, it dynamically adjusts the screen backlight brightness, contrast and color temperature to avoid visual fatigue.

[0059] S500: Based on the adjusted console parameters, re-collect operator posture data and ambient light data, calculate comfort index to verify the adjustment effect. If the comfort index improvement does not reach the preset threshold, iteratively optimize the adjustment parameters until the comfort requirements are met.

[0060] The S600 stores the operator's historical adjustment data, builds a personal comfort model through an incremental learning algorithm, and prioritizes using the operator's historical best parameters as the initial adjustment value when the operator logs in again.

[0061] In one possible implementation, the human pose estimation algorithm includes:

[0062] The image sensor captures images of the operator's upper body and extracts the three-dimensional coordinates of key skeletal points, including the shoulder, elbow, wrist, cervical spine, and lumbar spine.

[0063] The pose fit is calculated based on the coordinates of key skeleton points, where:

[0064] The ideal vertical distance between the line connecting the shoulder and elbow and the work surface is 50-70cm. If the actual distance deviates from the ideal value, the height adjustment score should be reduced.

[0065] The ideal angle between the operator's line of sight and the screen normal is less than or equal to 15°. If the actual angle is greater than 15°, the tilt angle adjustment score should be reduced.

[0066] The displacement variance of lumbar vertebrae is used to assess sitting stability; if the variance is greater than 5 cm, stability adjustment is triggered.

[0067] In one possible implementation, dynamically adjusting screen display parameters includes:

[0068] When the proportion of highlight pixels in the screen area exceeds 15%, the screen backlight brightness is increased to counteract reflections, and the screen color temperature is simultaneously increased from 6500K to 7500K to counteract warm light reflections with cool color light.

[0069] When the operator blinks more than 20 times per minute or the pupil diameter changes by more than 30%, the eye protection mode will be automatically activated to reduce the proportion of blue light on the screen and enlarge the font and line spacing.

[0070] In one possible implementation, the comfort index can be calculated using the following methods:

[0071] The formula for the ergonomic fit comfort index is:

[0072] H t =α*Hig ada +β*Ang ada +γ*Sta ada Hig ada Ang ada Sta ada These are respectively height adaptation score, tilt angle adaptation score, and sitting posture stability score; α, β, and γ are the weighting coefficients for each comfort parameter.

[0073] The visual comfort index is calculated using the following formula:

[0074] V t =δ*Ref sco +ε*Foc sco +κ*Fat sco , where Ref sco Foc sco Fat sco These represent the reflection suppression score, focus stability score, and fatigue relief score, respectively; δ, ε, and κ are the weighting coefficients for each visual comfort parameter.

[0075] The formula for the ease of use and comfort index is:

[0076] Ot=μ*Lig mar +v*But mar Lig mar But mar These are the scores for uniform illumination and button recognition, respectively; μ and v are the weighting coefficients for the convenience parameter, respectively.

[0077] If we consider the overall comfort index If the rating is Exc, then all indicators do not need to be adjusted and the status quo can be maintained. If the rating is Ave, slight adjustments need to be made to the operators corresponding to the above comfort indicators. If the rating is Bad, then urgent adjustments are required.

[0078] In one possible implementation, the iterative optimization of the tuning parameters includes:

[0079] If the improvement in comfort index after adjustment is less than 5 points, the coupling effect of height and tilt angle is analyzed, and a secondary fine-tuning command is generated to simultaneously correct the height and tilt angle.

[0080] If the operator manually corrects the automatic adjustment result, the system will incorporate the correction value into the personal comfort model and increase the weight of that parameter by 30% in the next adjustment.

[0081] In one possible implementation, the sensor includes:

[0082] An image sensor is used to acquire operator images and ambient lighting data. In this patent, the image sensor (such as Intel RealSense D435) is used to acquire the operator's physiological characteristics and posture data in real time, providing key input for subsequent personalized adjustments.

[0083] A depth sensor is used to acquire three-dimensional distance data between the operator and the control panel. In this patent, the depth sensor is used to collect the operator's three-dimensional posture data in real time, providing accurate physiological characteristics and posture information for subsequent personalized adjustments.

[0084] A light sensor is used to detect the real-time illuminance of the screen area and button area. In this patent, the light sensor's function is to collect ambient lighting data from the stage control room in real time, providing a basis for subsequent adjustments to screen display parameters.

[0085] In one possible implementation, the adjustment of the electrically operated lifting column and the rotating hinge follows a gradual principle:

[0086] The step value for height adjustment is controlled by a height gradual adjustment factor to avoid sudden increases or decreases;

[0087] The tilt adjustment step value is controlled by the angle progressive adjustment factor to avoid rapid tilting.

[0088] Secondly, embodiments of this application provide a stage machinery control console system, including:

[0089] The data acquisition module is used to perform the aforementioned sensor data acquisition. In this patent, the function of the data acquisition module is to collect various data in the operating console environment in real time, providing a basis for subsequent analysis and adjustment.

[0090] The processing module is used to execute the above-described method. In this patent, the processing module is used to preprocess, analyze, and optimize the collected multi-source data to provide high-quality data support for subsequent personalized adjustments.

[0091] The execution module, including an electric lifting column and a rotating hinge, is used to adjust the parameters of the operating table according to the instructions of the processing module. In this patent, the function of the execution module is to drive the physical components of the operating table to perform actual adjustment actions according to the adjustment parameters generated by the processing module, so as to achieve adaptive optimization of the operating table.

[0092] The storage module stores the operator's personal comfort model and historical adjustment data. In this patent, the storage module records and manages the operator's personalized adjustment data and key information during system operation, providing support for subsequent personalized optimization and system maintenance.

[0093] Reference Figure 2In another embodiment shown, the method deploys sensors on the control panel to capture the operator's height, posture (such as lumbar curvature and arm extension range) and operating habits (hand hovering height in frequently used button areas) in real time. Personalized adjustment parameters are generated through a human posture estimation algorithm. Based on the sensing data, the electric lifting column and rotating hinge are driven to automatically adjust the vertical height of the control panel (to adapt to sitting / standing posture switching) and tilt angle (to optimize arm operation posture), so that the operating interface is always within the operator's comfortable field of vision and reach. Simultaneously, the ambient light intensity of the stage control room (such as natural light incidence and ambient light sources) is collected, and combined with the brightness and darkness characteristics of the screen display content, the screen backlight brightness and contrast are dynamically adjusted to avoid visual fatigue caused by strong light reflection or dark light overexposure. This method can shift from passive adaptation to active adaptation, upgrading the traditional fixed control console into an adaptive system that fits the operator's physiological characteristics and environmental changes. Based on accurately captured status, quantified comfort indicators, and dynamic output adjustment commands, it ultimately achieves coordinated comfort between "human-machine-environment," reducing operator fatigue and indirectly improving the accuracy and safety of stage machinery operation. It provides intelligent support for high-intensity performance control and fundamentally reduces muscle strain and visual load caused by prolonged operation. It is especially suitable for high-intensity, long-duration stage machinery control scenarios in large-scale performances.

[0094] In another embodiment, the specific methods and steps of the present invention are as follows: Figure 2 As shown:

[0095] Step 1: After placing the image sensor on the control panel, collect operator status information. If no operator is detected or multiple people are detected, the operating system enters a safe mode (e.g., does not enter the administrator operating system, pauses adjustments, restores default position / brightness, etc.); if an operator is confirmed to be present on the screen, obtain their identity identifier (ID).

[0096] Step 2: Compare the captured operator image with the user database. If recognition is successful, load the operator's preset parameters as an adjustment benchmark. If recognition is unavailable or fails, a rough estimate can be made based on height proportions (estimated from skeletal key points) or clothing characteristics.

[0097] Step 3: By acquiring images of the operator's upper body, a posture estimation algorithm is used to extract the three-dimensional coordinates of key skeletal points (shoulder, elbow, wrist, cervical spine, lumbar spine). The operating table height fit is calculated as the vertical distance between the line connecting the shoulder and elbow and the operating table surface (ideal value: 50-70cm; too close and the shoulders tend to shrug, too far and the back tends to bend). The table tilt angle fit is the angle between the operator's line of sight and the screen normal (ideal value: less than or equal to 15°; too large an angle tends to cause the head to droop or tilt upward). The sitting posture stability is defined as the displacement variance of the lumbar skeletal points (a variance greater than 5cm indicates unstable sitting posture, possibly due to an uncomfortable table surface).

[0098] Step 4: By capturing eye features and using eye-tracking algorithms to analyze them, the principle for determining the focus area of ​​the gaze is whether it frequently deviates from the screen (which may be due to screen reflection or font being too small); blinking frequency and pupil diameter, i.e., blinking frequency greater than 20 times / minute or frequent pupil contraction and dilation (diameter change greater than 30%), indicate visual fatigue (which may be due to unsuitable screen brightness or glaring ambient light).

[0099] Step 5: Collect light environment interference information through sensors, and use the light intensity estimation algorithm to obtain the reflective intensity of the screen area, that is, calculate the proportion of highlight pixels in the screen area (a proportion greater than 15% indicates severe reflection); while the light uniformity of the operation area of ​​the control panel is defined as the light standard deviation of the operation button area (a standard deviation greater than 50 lux indicates that the local area is too dark or too bright, affecting button recognition).

[0100] Step 6: Since comfort is usually subjective and cannot be directly measured, the raw data from the image sensor is first converted into a quantifiable "comfort index" to establish an evaluation model to determine the direction of adjustment. The ergonomic fit comfort index is defined as H... t The comprehensive attitude parameter score (0-100 points) is expressed by the formula: H t =α*Hig ada +β*Ang ada +γ*Sta ada Hig ada Ang ada Sta ada These are respectively: height fit score, tilt fit score, and posture stability score; α, β, and γ are the weights of each comfort parameter, which can be derived from the weighted average of historical data or from expert experience. For example, reference values ​​could be set as α = 0.4, β = 0.3, and γ = 0.3. Where Hig... ada =100-|Dis-60|×2, the full score corresponds to the interval of 50-70, and Dis in the formula is the actual distance.

[0101] Step 7: The visual comfort index is defined as V. t The overall visual state score (0-100 points) is expressed by the formula: V t =δ*Ref sco +ε*Foc sco +κ*Fat sco , where Ref sco Foc sco Fat sco These are the reflection suppression score, focus stability score, and fatigue relief score, respectively; δ, ε, and κ are the weights of each visual comfort parameter, obtained in the same way as the steps above, and will not be repeated here. Reference values ​​can be set as δ = 0.5, ε = 0.3, and κ = 0.2; where Refsco =100-Pix×5, the full score corresponds to a highlight ratio of less than 5%, where Pix is ​​the highlight pixel ratio.

[0102] Step 8: The ease of use and comfort index is defined as O. t The lighting and layout adaptation score for the operation button area (0-100 points) is expressed by the formula O. t =μ*Lig mar +ν*But max Lig mar But mar These are the scores for uniform illumination and button recognition, respectively; μ and ν are the weights of the convenience parameters, respectively, and their acquisition methods are the same as those in the above steps, so they will not be repeated here. For general experience, μ can be set to 0.6 and ν to 0.4.

[0103] Step 9: A comprehensive estimate of the comfort characteristic indicators from steps 6, 7, and 8 is performed. The formula can be expressed as follows: If the rating is Exc, then no adjustment is needed for any of the indicators; just keep the status quo. If the rating is Ave, slight adjustments need to be made to the operators corresponding to the above comfort indicators. If the rating is Bad, then urgent adjustments are required.

[0104] Step 10: Based on the results of the comfort evaluation model in the previous step, generate specific instructions for adjusting the physical parameters of the control panel to achieve precise adaptation to any discomfort during operation.

[0105] The principle for adjusting the height of the control panel is that when the height is suitable for the Hig ada <70, the target height calculation standard is: In the formula Hei cur This represents the current height, and σ is the height gradual adjustment factor to avoid sudden increases or decreases in the operating platform height. Its value can be obtained based on the actual lifting speed design or experience from actual usage scenarios. The calculated specific lifting height is sent to the actuator via control commands to obtain a comfortable operating height adaptation value.

[0106] Step 11, when the tilt angle is matched with the Ang ada <70, the target inclination angle is calculated as follows: In the formula Ang cur This indicates the current tilt angle, where θ is the angle between the operator's line of sight and the screen normal. This is a gradual angle adjustment factor to avoid rapid angle changes in the control panel. Its value is consistent with the height adjustment factor mentioned above and can be obtained based on the actual lifting speed design or experience from actual usage scenarios. The calculated specific tilt angle is sent to the actuator via control commands, tilting forward or backward with the screen normal as a reference to obtain a comfortable operating view.

[0107] Step 12: When the screen highlight ratio is greater than 15%, adjust the target brightness to... Lux in the formula cur This indicates the current brightness. The baseline value for brightness adjustment can be 1, and ρ is the progressive brightness adjustment factor. This principle enhances screen brightness to compensate for glare. Simultaneously, the screen color temperature is adaptively adjusted, with the adjustment criteria tailored to the specific application scenario, such as adjusting from 6500K to 7500K (cool colors counteract warm light reflection).

[0108] Step 13: When the blink frequency detected by the image sensor is greater than 20 times / minute, the screen's eye protection mode is automatically turned on, reducing the proportion of blue light on the screen, increasing the font size and boldness by 10%, and increasing the line spacing, thereby reducing visual focusing pressure.

[0109] Step 14: After adjusting for cases with low evaluation results, the comfort index needs to be retested, and real-time feedback verification should be provided. For example, within seconds of the adjustment, the image sensing module should re-collect data and calculate the adjusted comfort index H. t V t O t If any indicator improves by 10 points or more, the adjustment is deemed effective, and the current parameters are maintained. If the indicator improves by less than 5 points, the cause is re-analyzed. For example, if the tilt angle adaptability decreases after height adjustment, a secondary synchronous fine-tuning command for height and tilt angle is generated.

[0110] Step 15, Personalized Learning Optimization: The system records the operator's historical adjustment data (e.g., an operator prefers a table tilt angle of 15° and screen brightness of 80%), and constructs a "personal comfort model" using common incremental learning algorithms. Alternatively, when the same operator logs in, the initial adjustment parameters directly call their historical optimal values, reducing the number of adjustment iterations; if the operator manually corrects the automatic adjustment results (e.g., manually lowers the height), the system incorporates the corrected value into the model, increasing its weight by 30% in the next automatic adjustment.

[0111] By adopting the above-disclosed technical solution of this invention, the following beneficial effects are obtained:

[0112] 1. Ergonomic optimization

[0113] Dynamic adjustment of height and tilt: By collecting real-time data on the operator's height, posture (such as lumbar curvature, and the vertical distance between the shoulder-elbow line and the workbench surface), and operating habits (hand hovering height in frequently used button areas), a human posture estimation algorithm is used to generate personalized adjustment parameters, dynamically adjusting the height and tilt of the workbench to ensure the interface is always within the operator's comfortable field of vision and reach. Tests show that after 8 hours of operation, lumbar spine pressure decreased by 42%, significantly reducing operator fatigue.

[0114] 2. Relief of visual fatigue

[0115] Dynamic adjustment of screen display parameters: The system synchronously collects ambient light intensity data from the stage control room (such as natural light incidence and ambient light sources) and, combined with the brightness characteristics of the displayed content, dynamically adjusts the screen backlight brightness, contrast, and color temperature to avoid visual fatigue caused by strong light reflection or overexposure in low light. When the proportion of highlight pixels in the screen area exceeds 15%, the system automatically increases the screen backlight brightness and raises the screen color temperature from 6500K to 7500K to counteract warm light reflection with cooler color light. Test results show that the misread rate decreased from 30% to 3%, and visual fatigue was effectively alleviated.

[0116] 3. Improved ease of use

[0117] Quantitative operation convenience indicators: By collecting data on the area and frequency of operator hand hovering, operation convenience and comfort indicators are generated, dynamically optimizing the uniformity of lighting and fingertip overlap in the button area. Tests show that the accidental touch rate decreased from 12% to 3%, and the operator's operating efficiency and accuracy were significantly improved.

[0118] 4. Closed-loop efficient verification

[0119] Reinforcement learning and incremental learning mechanisms: Based on the adjusted console parameters, the system re-collects operator posture data and ambient lighting data to calculate comfort indices and verify the adjustment effect. If the comfort index improvement does not reach the preset threshold, the adjustment parameters are iteratively optimized until the comfort requirements are met. The system also constructs a personal comfort model through an incremental learning algorithm, recording the operator's historical adjustment data to achieve zero-latency adaptation. Tests show that the initial adaptation time is less than 5 seconds, subsequent logins are zero-latency, and secondary fine-tuning can be performed when adjustments are ineffective, ensuring the system's efficiency and adaptability.

[0120] 5. System robustness and security

[0121] Anomaly Handling and Redundancy Design: The system possesses a comprehensive anomaly handling mechanism, such as multi-user detection, sensor disconnection handling, and altitude change handling, ensuring stable operation in complex environments. Simultaneously, a dual-motor redundancy design ensures continued normal operation even in the event of a single motor failure, guaranteeing the safety of operators and equipment.

[0122] 6. Wide applicability

[0123] High-intensity, long-duration performance scenarios: This invention is particularly suitable for high-intensity, long-duration stage machinery control scenarios in large-scale performances, providing intelligent support for high-intensity performance control, fundamentally reducing muscle strain and visual load caused by long-term operation, and improving the accuracy and safety of stage machinery operation.

[0124] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. An optimization method for improving the comfort of stage machinery control operation, characterized in that, Applied to a stage machinery control console, the method includes: The operator's physiological characteristics, posture data, and operating habits data are collected in real time by sensors deployed on the console. The physiological characteristics data include height, the posture data includes lumbar curvature, the vertical distance between the line connecting the shoulder and elbow and the console surface, and the angle between the operator's line of sight and the screen normal. The operating habits data includes the area and frequency of hand hovering. Based on the physiological characteristic data, posture data, and operation habit data, a human posture estimation algorithm is used to generate personalized adjustment parameters, which include the target height of the operating table, the target tilt angle, and the screen display parameters. According to the personalized adjustment parameters, the electric lifting column is driven to adjust the vertical height of the operating platform to adapt to the operator's sitting / standing posture switching, and the rotating hinge is driven to adjust the tilt angle of the operating platform to optimize the arm operation force posture. Simultaneously collect ambient lighting data from the stage control room, including the reflectivity of the screen area and the uniformity of illumination in the operation button area. Combined with the brightness and darkness characteristics of the screen display content, dynamically adjust the screen backlight brightness, contrast and color temperature to avoid visual fatigue. Based on the adjusted console parameters, operator posture data and ambient lighting data are re-collected, and comfort indexes are calculated to verify the adjustment effect. If the improvement of comfort indexes does not reach the preset threshold, the adjustment parameters are iteratively optimized until the comfort requirements are met. The system stores the operator's historical adjustment data, builds a personal comfort model through an incremental learning algorithm, and prioritizes using the operator's historical best parameters as the initial adjustment value when the operator logs in again.

2. The method according to claim 1, characterized in that, The human pose estimation algorithm includes: The operator's upper body image is acquired by an image sensor, and the three-dimensional coordinates of key skeletal points are extracted. These key skeletal points include the shoulder, elbow, wrist, cervical vertebrae, and lumbar vertebrae. The pose fit is calculated based on the coordinates of the key skeleton points, where: The ideal vertical distance between the line connecting the shoulder and elbow and the work surface is 50-70cm. If the actual distance deviates from the ideal value, the height adjustment score should be reduced. The ideal angle between the operator's line of sight and the screen normal is less than or equal to 15°. If the actual angle is greater than 15°, the tilt angle adjustment score should be reduced. The displacement variance of lumbar vertebrae is used to assess sitting stability; if the variance is greater than 5 cm, stability adjustment is triggered.

3. The method according to claim 1, characterized in that, The dynamically adjusted screen display parameters include: When the proportion of highlight pixels in the screen area exceeds 15%, the screen backlight brightness is increased to counteract reflections, and the screen color temperature is simultaneously increased from 6500K to 7500K to counteract warm light reflections with cool color light. When the operator blinks more than 20 times per minute or the pupil diameter changes by more than 30%, the eye protection mode will be automatically activated to reduce the proportion of blue light on the screen and enlarge the font and line spacing.

4. The method according to claim 1, characterized in that, The calculation method for the comfort index includes: The formula for the ergonomic fit comfort index is: H t =α*Hig ada +β*Ang ada +γ*Sta ada Hig ada Ang ad a、Sta ada These are respectively height adaptation score, tilt angle adaptation score, and sitting posture stability score; α, β, and γ are the weighting coefficients for each comfort parameter. The visual comfort index is calculated using the following formula: V t =δ*Ref sco +ε*Foc sco +κ*Fat sco , where Ref sco Foc sco Fat sco These represent the reflection suppression score, focus stability score, and fatigue relief score, respectively; δ, ε, and κ are the weighting coefficients for each visual comfort parameter. The formula for the ease of use and comfort index is: O t =μ*Lig mar +v*But mar Lig mar But mar These are the scores for uniform illumination and button recognition, respectively; μ and v are the weighting coefficients for the convenience parameter, respectively. If we consider the overall comfort index If the rating is Exc, then all indicators do not need to be adjusted and the status quo can be maintained. If the rating is Ave, slight adjustments need to be made to the operators corresponding to the above comfort indicators. If the rating is Bad, then urgent adjustments are required.

5. The method according to claim 4, characterized in that, The iterative optimization adjustment parameters include: If the improvement in comfort index after adjustment is less than 5 points, the coupling effect of height and tilt angle is analyzed, and a secondary fine-tuning command is generated to simultaneously correct the height and tilt angle. If the operator manually corrects the automatic adjustment result, the system will incorporate the correction value into the personal comfort model and increase the weight of that parameter by 30% in the next adjustment.

6. The method according to claim 1, characterized in that, The sensor includes: Image sensor, used to acquire operator images and ambient lighting data; Depth sensor, used to acquire three-dimensional distance data between the operator and the control panel; A light sensor is used to detect the real-time illuminance of the screen area and button area.

7. The method according to claim 1, characterized in that, The adjustment of the electric lifting column and rotating hinge follows a gradual principle: The step value for height adjustment is controlled by a height gradual adjustment factor to avoid sudden increases or decreases; The tilt adjustment step value is controlled by the angle progressive adjustment factor to avoid rapid tilting.

8. A stage machinery control console system, characterized in that, include: The data acquisition module is used to perform the sensor data acquisition as described in claim 1; Processing module, configured to execute the method according to any one of claims 1-7; The execution module, including the electric lifting column and the rotating hinge, is used to adjust the operating panel parameters according to the instructions of the processing module. The storage module is used to store the operator's personal comfort model and historical adjustment data.

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