Method and system for optimizing consistency of original data of capacitive touch screen

Abstract

The invention provides a method and a system for optimizing consistency of original data of a capacitive touch screen. Belongs to the technical field of man-machine interaction, capacitive touch sensing and signal processing. The method comprises the following steps: carrying out full-screen regionalization division on the capacitive touch screen, generating multi-logic block data, deploying a hardware structure precise optimization module according to the multi-logic block data, completing compensation electrode design and manufacturing, electrode array partition control and substrate film layer consistency processing, and constructing a hardware basic network; through four-dimensional cooperation of hardware structure precise optimization, circuit dynamic adaptation, algorithm real-time calibration and process whole flow guarantee, the method compresses full-screen original data baseline deviation to be within + / -3%, the touch positioning precision and linearity are remarkably improved, when a user clicks or inputs tiny icons in a handwriting mode, operation position recognition is more precise, and the user experience is improved. The chirality is obviously enhanced.

Description

Technical Field

[0001] This invention proposes a method and system for optimizing the consistency of raw data in a capacitive touchscreen, belonging to the fields of human-computer interaction, capacitive touch sensing and signal processing technology. Background Technology

[0002] In the current field of capacitive touch screen technology, insufficient consistency of raw data has become a key bottleneck restricting the improvement of touch performance. Traditional calibration schemes mostly adopt global or regional unified gain / offset compensation, which can partially improve data fluctuations, but cannot eliminate the local sensitivity attenuation caused by electric field distortion in the edge area, resulting in obvious blind spots and sensitive areas in the overall screen touch response. At the same time, the design of fixed reference capacitance value is prone to drift when the ambient temperature and humidity change, and problems such as touch failure and positioning jump occur frequently in high temperature and high humidity scenarios, with poor environmental adaptability.

[0003] The lack of compensation in the production process has become a major obstacle to product yield. Existing technologies have not established individual equipment response models. Process defects such as uneven ITO coating thickness and FPC impedance differences directly lead to a deviation of more than ±8% in the original data baseline, which is difficult to fundamentally correct by software filtering in the later stage. Although published patents propose improvement methods such as adding shielding layers and improving driving waveforms, these are all isolated optimizations and have not formed a four-dimensional collaborative system of hardware structure, circuit adaptation, algorithm compensation, and process pre-calibration.

[0004] This patchwork optimization approach essentially involves passively tolerating data fluctuations rather than proactively building a data consistency optimization system. The market urgently needs a raw data optimization technology that covers the entire chain from the source of production to the usage scenario and deeply integrates all dimensions to break through the application barriers of high-precision touch scenarios. Summary of the Invention

[0005] This invention provides a method and system for optimizing the consistency of raw data in a capacitive touchscreen, to solve the problems mentioned in the background section above:

[0006] This invention proposes a method for optimizing the consistency of raw data in a capacitive touchscreen, the method comprising:

[0007] S1. Divide the capacitive touch screen into full-screen regions, generate multi-logic block data, deploy hardware structure precision optimization modules based on multi-logic block data, complete the design and manufacturing of compensation electrodes, electrode array partition control and substrate film layer consistency processing, and build the hardware basic network.

[0008] S2. Based on the hardware network, multi-channel dynamic adaptation is performed. Each sensing channel is independently calibrated by a programmable gain amplifier and offset calibration circuit. Combined with the temperature and humidity sensing module, environmental parameters are collected in real time, dynamic reference capacitor compensation value is generated, and the original data acquisition parameters are adjusted synchronously to form a circuit dynamic adaptation system with enhanced environmental adaptability.

[0009] S3. Construct a three-dimensional calibration database using the raw data collected by the circuit dynamic adaptation system, and establish a four-dimensional mapping model of coordinates, temperature, humidity and capacitance value through machine learning algorithms; use Kalman filtering and least squares fitting algorithms to perform real-time calibration of dynamic data and generate an algorithm calibration parameter set.

[0010] S4. Introduce an automated pre-calibration process in the production process. Use dedicated testing equipment to scan the electrical characteristics of each logic block and establish the original data response model of individual equipment. Generate a pre-calibration parameter package based on the model and burn it into the non-volatile memory of the touch controller to form a pre-calibration closed-loop system that ensures the entire process.

[0011] S5. Start the device according to the initial calibration parameters output by the pre-calibration closed-loop system, and dynamically compensate the real-time acquired data through the algorithm calibration parameter set; perform a full-screen data consistency test every 500ms, and automatically trigger the recalibration process when the regional deviation exceeds the threshold, generating a high-consistency touch data stream with a full-screen original data baseline deviation ≤ ±3%.

[0012] This invention proposes a system for implementing the above-described method for optimizing the consistency of raw data in a capacitive touchscreen, the system comprising:

[0013] Network construction module: Divide the capacitive touch screen into full-screen regions, generate multi-logic block data, deploy a hardware structure precision optimization module based on the multi-logic block data, complete the design and manufacturing of compensation electrodes, electrode array partition control and substrate film layer consistency processing, and build the hardware basic network.

[0014] Dynamic Adaptation Module: Based on the hardware network, multi-channel dynamic adaptation is performed. Each sensing channel is independently calibrated for gain / zero point through a programmable gain amplifier and offset calibration circuit. Combined with the temperature and humidity sensing module, environmental parameters are collected in real time, dynamic reference capacitor compensation values ​​are generated, and the original data acquisition parameters are adjusted synchronously to form a circuit dynamic adaptation system with enhanced environmental adaptability.

[0015] Real-time calibration module: Constructs a three-dimensional calibration database using raw data collected by the circuit dynamic adaptation system; establishes a four-dimensional mapping model of coordinates, temperature, humidity, and capacitance values ​​through machine learning algorithms; and uses Kalman filtering and least squares fitting algorithms to perform real-time calibration on dynamic data, generating a set of algorithm calibration parameters.

[0016] Calibration closed-loop module: An automated pre-calibration process is introduced into the production process. The electrical characteristics of each logic block are scanned by dedicated testing equipment to establish the original data response model of individual equipment. Based on the model, a pre-calibration parameter package is generated and burned into the non-volatile memory of the touch controller, forming a pre-calibration closed-loop system that ensures the entire process.

[0017] Dynamic compensation module: The device is started according to the initial calibration parameters output by the pre-calibration closed-loop system. The real-time collected data is dynamically compensated by calibrating the parameter set through the algorithm. The full-screen data consistency detection is performed every 500ms. When the regional deviation exceeds the threshold, the recalibration process is automatically triggered to generate a highly consistent touch data stream with a full-screen original data baseline deviation of ≤±3%.

[0018] The beneficial effects of this invention are as follows: Through four-dimensional collaboration of precise hardware structure optimization, dynamic circuit adaptation, real-time algorithm calibration, and full-process process assurance, this method compresses the baseline deviation of the original data of the entire screen to within ±3%, significantly improving the touch positioning accuracy and linearity. When users click on small icons or perform handwriting input, the operation position recognition is more accurate, and the responsiveness is significantly enhanced. Dynamic benchmark adjustment and noise suppression technology enable the touch screen to work stably in high temperature, high humidity, and strong electromagnetic interference environments, avoiding touch failure, drift, or false triggering caused by environmental changes. The regional feature compensation mechanism eliminates the sensitivity difference between the edge area and the center area, ensuring uniformity of touch response across the entire screen and completely eliminating the existence of blind spots or sensitive areas, greatly improving the smoothness and comfort of operation. Automated pre-calibration and data modeling in the production process effectively screen and compensate for process defects such as uneven ITO thickness and FPC impedance differences, while reducing after-sales maintenance costs caused by touch problems, significantly enhancing brand reputation and market competitiveness. Attached Figure Description

[0019] Figure 1 This is a diagram illustrating the steps of the method described in this invention;

[0020] Figure 2 This is a system module diagram of the present invention. Detailed Implementation

[0021] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0022] One embodiment of the present invention, such as Figure 1 As shown, a method for optimizing the consistency of raw data in a capacitive touchscreen is provided, the method comprising:

[0023] S1. Divide the capacitive touch screen into full-screen regions to generate multi-logic block data, which includes edge regions, transition regions, and center regions. Deploy a hardware structure precision optimization module based on the multi-logic block data to complete the design and manufacturing of compensation electrodes, electrode array partition control, and substrate film layer consistency processing, and build a hardware basic network. The hardware basic network has regional feature compensation capabilities.

[0024] S2. Based on the hardware network, multi-channel dynamic adaptation is performed. Each sensing channel is independently calibrated by a programmable gain amplifier and offset calibration circuit. Combined with the temperature and humidity sensing module, environmental parameters are collected in real time, dynamic reference capacitor compensation value is generated, and the original data acquisition parameters are adjusted synchronously to form a circuit dynamic adaptation system with enhanced environmental adaptability.

[0025] S3. Construct a three-dimensional calibration database using the raw data collected by the circuit dynamic adaptation system, and establish a four-dimensional mapping model of coordinates, temperature, humidity and capacitance value through machine learning algorithms; use Kalman filtering and least squares fitting algorithms to perform real-time calibration on the dynamic data and generate an algorithm calibration parameter set, which has environmental compensation capability.

[0026] S4. Introduce an automated pre-calibration process in the production process. Use dedicated testing equipment to scan the electrical characteristics of each logic block and establish an original data response model for each device. Generate a pre-calibration parameter package based on the model. The pre-calibration parameter package includes a channel compensation table and regional weight coefficients and is burned into the non-volatile memory of the touch controller to form a pre-calibration closed-loop system that ensures the entire process.

[0027] S5. Start the device according to the initial calibration parameters output by the pre-calibration closed-loop system, and dynamically compensate the real-time acquired data through the algorithm calibration parameter set; perform a full-screen data consistency test every 500ms, and automatically trigger the recalibration process when the regional deviation exceeds the threshold, generating a high-consistency touch data stream with a full-screen original data baseline deviation ≤ ±3%.

[0028] The working principle and effects of the above technical solution are as follows: This method significantly improves touch precision and positioning accuracy, making fine operation more responsive, while enhancing the uniformity of sensing sensitivity, ensuring consistent touch response across all positions on the screen; it strengthens the device's adaptability to temperature and humidity changes and electromagnetic interference, reducing the risk of raw data drift and touch malfunction; it reduces electrode crosstalk during multi-touch, avoiding blind spot insensitivity or false triggering in sensitive areas, making operation smoother and more comfortable; it improves product yield, reduces after-sales maintenance costs and user complaints, alleviates the burden of subsequent algorithm processing, and reduces operation latency; it is compatible with various capacitive touchscreens and can achieve mass production at low cost, successfully expanding its application in high-precision scenarios and avoiding poor touch experience caused by inconsistent data.

[0029] In one embodiment of the present invention, S1 includes:

[0030] S11. Conduct full-screen geometric analysis of the capacitive touch screen, divide it into regions according to the electric field distribution characteristics, and generate multi-logic block data. The multi-logic block data includes edge areas, transition areas and center areas, and the boundaries of each region are naturally defined according to the screen geometric features.

[0031] S12. Based on the electrode characteristics of different regions in multi-logic block data, initiate the precise design and manufacturing of compensation electrodes. Obtain the outline data of the incomplete main electrode through high-resolution optical scanning, determine the compensation area through quantitative analysis, process the stepped compensation electrode using laser etching process, and achieve a reliable connection between the compensation electrode and the main electrode using low-resistance connection process.

[0032] S13. Based on the partitioning planning of multiple logical blocks, implement the partitioning control of the electrode array, delineate the range of each area with the geometric center of the screen as the reference, and use photoresist coating and exposure development process to achieve differentiated processing of electrode spacing in different areas. For flexible areas, use special photolithography process to process the electrode structure.

[0033] S14. Promote the consistency of substrate and film layer. Select a high flatness substrate and pre-treat it to improve the adhesion of film layer. Use magnetron sputtering or micro-grooving process to uniformly coat the conductive film layer to ensure film thickness uniformity.

[0034] S15. Integrate the design and manufacturing of compensation electrodes, the zoning control of electrode arrays, and the consistency processing results of substrate film layers, deploy a hardware structure precision optimization module, and build a hardware basic network with regional feature compensation capabilities.

[0035] The working principle and effects of the above technical solution are as follows: It improves the consistency of the hardware structure of the capacitive touch screen, making the electric field distribution in all areas of the screen more uniform and reducing the original data deviation caused by differences in electrode structure and material fluctuations; it enhances the connection reliability between the compensation electrode and the main electrode, avoiding the impact of film peeling or poor contact on the touch effect; the differentiated treatment of electrode spacing in different areas avoids the imbalance of sensing sensitivity between the edge area and the center area, and the special process of the flexible area also reduces the problem of wire breakage caused by bending; the fine processing of the substrate and film layer improves the adhesion and uniformity of the film layer, reducing the signal fluctuation caused by uneven film thickness; it can not only adapt to the structural requirements of different types of touch screens, but also provide stable hardware support for subsequent circuit adaptation and algorithm calibration, making the overall touch performance more reliable.

[0036] In one embodiment of the present invention, S13 includes:

[0037] Receive partition planning data for multiple logical blocks, extract the electrode distribution requirements for each region, and generate regional electrode configuration parameters; based on the geometric center of the screen, delineate the specific range of the central area, transition area, and edge area, and generate regional boundary definition data.

[0038] Based on the regional electrode configuration parameters, prepare the photoresist material, complete the coating operation according to the set thickness, and form a uniform photoresist film layer.

[0039] Based on the spacing standards of each area, the exposure energy parameters are set, and the exposure and development process is executed to achieve differentiated molding of the spacing between the central area, the transition area, and the edge area.

[0040] To address the characteristics of flexible regions, the parameters of a dedicated photolithography process were adjusted to fabricate the linewidth, mesh size, and node shape of the metal mesh electrodes.

[0041] The spacing accuracy of the formed electrode array is tested to verify that the spacing of each area meets the preset standard, and the electrode array zoning control completion data is generated.

[0042] The working principle and effects of the above technical solution are as follows: It improves the partitioning accuracy and spacing consistency of the electrode array, allowing the spacing of the central area, transition area, and edge area to be precisely shaped as required, enhancing the uniformity of the electric field distribution in each area; it reduces the imbalance of sensing sensitivity caused by spacing differences, avoiding situations where some areas are sluggish or overly sensitive; it reduces the risk of electrode wire breakage during bending by special process adjustments for flexible areas, enhancing the structural stability and durability of the flexible touch screen; the precision inspection stage after molding reduces the inflow of unqualified products into subsequent processes, avoiding touch data fluctuations caused by spacing deviations; it can adapt to the touch response requirements of different areas and take into account the special usage scenarios of flexible products, making the overall performance of the electrode array more stable, laying a solid foundation for subsequent optimization of the consistency of original data.

[0043] In one embodiment of the present invention, S2 includes:

[0044] S21. Based on the hardware infrastructure network, deploy multi-channel programmable gain amplifiers and offset calibration circuits to form a multi-channel dynamic adaptation architecture.

[0045] S22. Input standard signals to each sensing channel, collect the output signal amplitude, analyze the channel response deviation, perform independent gain and zero-point calibration on each sensing channel, and unify the channel response characteristics.

[0046] S23. Deploy temperature and humidity sensing modules to collect environmental parameters at fixed intervals and establish the correlation between environmental parameters and reference capacitance.

[0047] S24. Calculate the dynamic reference capacitance compensation value based on the collected environmental parameters, and synchronously adjust the original data acquisition parameters to suppress capacitance drift caused by temperature and humidity.

[0048] S25. Optimize the crosstalk suppression circuit, design an RC filter network to match the working frequency of the electrodes, adopt a differential driving method to output the electrode driving signal, and set a shielded grounding layer to reduce electromagnetic and electrostatic interference; integrate the channel calibration, reference capacitor compensation and crosstalk suppression optimization results to form a circuit dynamic adaptation system with enhanced environmental adaptability.

[0049] The working principle and effects of the above technical solution are as follows: it improves the response consistency of each sensing channel, making the feedback of different channels to touch signals more uniform; it enhances the circuit's adaptability to changes in temperature and humidity, reduces capacitance drift caused by environmental factors, and keeps the original data stable; it reduces interference from electromagnetic and electrostatic sources, avoids data distortion caused by crosstalk, and ensures the purity of touch signals; it can quickly calibrate channel deviations and dynamically respond to environmental changes, avoiding touch delays or false triggers caused by insufficient circuit adaptation, allowing the touch screen to maintain stable touch performance in complex environments, and providing reliable circuit-level support for subsequent algorithm processing.

[0050] In one embodiment of the present invention, S24 includes:

[0051] The system receives environmental parameters collected by temperature and humidity sensing modules and summarizes them into an environmental parameter set. It retrieves the established correlation between environmental parameters and reference capacitor and combines the environmental parameter set to generate reference data for reference capacitor correction.

[0052] Based on the reference data for reference capacitance correction, the dynamic reference capacitance compensation value is calculated to form specific compensation parameters; the compensation parameters are transmitted to the original data acquisition module, and the parameters of the acquisition module, including the parameter gain and sampling frequency, are adjusted synchronously.

[0053] Real-time monitoring of the collected raw data after adjustment, recording of capacitance value changes, and generation of drift state data;

[0054] Compare the drift state data with the preset standard, fine-tune the compensation parameters and acquisition parameters until the capacitor drift is within a controllable range, and generate the reference capacitor compensation completion data.

[0055] The working principle and effects of the above technical solution are as follows: It improves the accuracy of the reference capacitance compensation, allowing the compensation value to adapt to changes in temperature and humidity in real time; it enhances the resistance of the original data to environmental fluctuations, significantly reduces capacitance drift caused by temperature and humidity, and reduces touch deviation caused by data fluctuations; it monitors the capacitance changes after adjustment in real time, avoiding over- or under-compensation and keeping the capacitance value stable within a reasonable range; it can quickly respond to sudden changes in temperature and humidity, and accurately match the correction requirements of the reference capacitance, avoiding inaccurate touch and false triggering caused by drift; it ensures the stability of the original data under different environments, providing reliable input for subsequent algorithm processing, and allowing the touch screen to maintain consistent touch performance in various scenarios such as high and low temperatures, dryness and humidity.

[0056] In one embodiment of the present invention, S3 includes:

[0057] S31. Through the circuit dynamic adaptation system, raw data of different test points of each logic block are collected under different temperature and humidity combinations; the collected raw data are screened to remove abnormal samples that deviate from the normal range and retain valid data.

[0058] S32. Construct a three-dimensional calibration database based on effective data to store the correlation information of coordinates, temperature, humidity and capacitance values; use machine learning algorithms to analyze the correlation data in the database and establish a four-dimensional mapping model, which includes coordinates, temperature, humidity and capacitance values, to improve the accuracy of capacitance value prediction under different environments.

[0059] S33. Deploy the Kalman filter algorithm, configure the corresponding parameters, filter noise from dynamically acquired data, and retain the real touch signal characteristics; use the least squares method to perform linear fitting on the continuously acquired data of the same test point, and dynamically adjust the gain coefficient and offset to reduce data fluctuations.

[0060] S34. Optimize the multi-touch data separation strategy, integrate self-capacitance and mutual capacitance data for touch positioning, establish a crosstalk recognition model, predict touch trajectory, and ensure the accuracy of multi-touch data; integrate the mapping model, noise filtering results, fitting parameters, and multi-touch data separation strategy to generate an algorithm calibration parameter set with environmental compensation capabilities.

[0061] The working principle and effects of the above technical solution are as follows: it improves the prediction accuracy of capacitance values ​​under different environments, makes the touch signal purer, retains the real sensing characteristics, and enhances the reliability of data processing; it reduces the fluctuation amplitude of dynamic data, reduces interference caused by noise and crosstalk, and avoids abnormal samples affecting the calibration effect; it can accurately adapt to the differences caused by temperature and humidity changes, and improve the positioning accuracy of multi-touch, keeping the touch trajectory consistent; it avoids touch misjudgment caused by signal distortion, reduces the processing burden of subsequent algorithms, and keeps the original data stable and consistent in complex scenarios, providing solid algorithmic support for the high-precision touch performance of the touch screen.

[0062] In one embodiment of the present invention, S33 includes:

[0063] Initiate the Kalman filter algorithm deployment process, clarify the scenario in which the algorithm is applied to dynamic data noise processing, and generate an initial deployment plan for the algorithm; analyze the noise distribution characteristics of the dynamically acquired data, configure relevant parameters, including process noise covariance, observation noise covariance and initial error covariance, and generate a parameter configuration set;

[0064] Import the parameter configuration set into the data processing module, perform noise filtering operation on the dynamically acquired raw data, and initially separate noise signals from valid touch signals;

[0065] The filtered data signal is detected to verify the feature integrity of the real touch signal, which includes amplitude and waveform, and a signal feature verification result is generated. For the same test point, multiple sets of continuously collected data are extracted and organized into a data sequence according to the collection time sequence.

[0066] The least squares method is initiated to perform linear fitting on the data sequence, and the initial values ​​of the gain coefficient and offset are calculated. The fluctuation amplitude of the fitted data is tracked in real time, compared with the preset fluctuation threshold, and the gain coefficient and offset are dynamically fine-tuned.

[0067] Once the data fluctuation range is confirmed to be reduced to a reasonable range and the real touch signal characteristics are fully preserved, noise filtering and data fitting data are generated.

[0068] The working principle and effects of the above technical solution are as follows: The solution improves the noise filtering efficiency of dynamic data, accurately separates various interference signals from valid touch signals, and fully preserves the amplitude and waveform characteristics of the real signal; it reduces the fluctuation amplitude of the original data, and through linear fitting and dynamic fine-tuning of parameters, makes the data output at the same test point more stable; it enhances the reliability and purity of the data, reduces the impact of power frequency noise, high-frequency glitches, and other interference on the touch signal, and avoids positioning deviations caused by signal distortion; it can quickly respond to noise interference in dynamic data and correct data deviations in real time, avoiding false triggering or missed detection problems caused by data instability; it provides a more accurate input basis for subsequent algorithm processing, further improving the touch accuracy and responsiveness of the touchscreen, and maintaining stable sensing performance even in complex signal environments.

[0069] In one embodiment of the present invention, step S4 includes:

[0070] S41. Deploy dedicated testing equipment in the production process to form an automated pre-calibration process architecture; use dedicated testing equipment to perform a comprehensive electrical characteristic scan of each sensing channel of each touch screen and collect a large amount of raw data;

[0071] S42. Based on the collected raw data, analyze the response characteristics of individual devices and establish a raw data response model for individual devices; based on the raw data response model for individual devices, generate a pre-calibration parameter package, which includes a channel compensation table and regional weight coefficients.

[0072] S43. Burn the pre-calibration parameter package into the non-volatile memory of the touch controller to ensure that it can be called up when the device is powered on; implement full-process process control, use automatic optical inspection equipment to detect the electrode processing quality, extract samples to test the film performance, use a visual positioning system to control the assembly accuracy, and screen qualified products;

[0073] S44. Integrate the pre-calibration parameter generation, burning, and process control processes to form a pre-calibration closed-loop system that ensures the entire process.

[0074] The working principle and effects of the above technical solution are as follows: The solution improves the initial data consistency of each touchscreen, ensuring that individual devices have a stable touch foundation from the factory, thus enhancing production yield. Through full-process process control, it accurately screens out defective products, reducing the impact of production defects on touch performance. It also reduces after-sales complaints and repair costs caused by initial data deviations, preventing defective products from entering the market and affecting reputation. Furthermore, it can specifically adapt to the characteristics of each device, generating personalized pre-calibration parameters, while remaining compatible with existing production systems without requiring a large number of new dedicated equipment. Finally, it allows devices to directly access calibration parameters upon power-up, eliminating additional debugging steps and laying a solid foundation for subsequent dynamic calibration. This further ensures touch consistency between different individual devices, resulting in a more unified user experience.

[0075] In one embodiment of the present invention, step S5 includes:

[0076] S51. Start the capacitive touch screen device, call the initial calibration parameters stored in the pre-calibration closed-loop system, and complete the initial device setup; during device operation, collect the original sensing data of the touch screen in real time.

[0077] S52. Use the algorithm calibration parameter set to dynamically compensate the real-time acquired raw data and correct data deviations; perform a full-screen data consistency check every 500ms to compare the deviations of the data in each area with the calibration values.

[0078] S53. When the detected area deviation exceeds the set standard and continues to exceed the standard multiple times, the recalibration process is automatically triggered to update the calibration parameters; the system self-diagnosis and fault tolerance mechanism is activated. If a certain electrode zone fails, the calibration parameters of the adjacent zone are automatically used for compensation to ensure that the touch function is normal.

[0079] S54. Through dynamic compensation, consistency detection, automatic calibration and fault tolerance processing, a highly consistent touch data stream with a full-screen original data baseline deviation of ≤±3% is generated.

[0080] The working principle and effects of the above technical solution are as follows: It improves the consistency of the original data across the entire screen, keeping the baseline deviation within a reasonable range and resulting in more consistent touch feedback; it enhances the data stability during device operation, providing real-time dynamic compensation to quickly correct deviations, and timely capturing anomalies through consistency detection every 500ms; it reduces touch fluctuations caused by environmental changes and device aging, avoiding inaccurate operations due to regional data imbalances; it reduces the risk of false triggers and missed detections, resulting in more precise positioning during fine-tuning operations; the automatic recalibration mechanism avoids the accumulation of deviations, and the fault tolerance mechanism ensures that the overall touch function is maintained even when a single electrode zone fails, preventing sudden failure; it can quickly complete the initial device setup and enter a stable working state, while maintaining high-quality data over a long period, allowing the touchscreen to maintain smooth and accurate touch performance during long-term use, significantly improving user comfort and confidence.

[0081] In one embodiment of the present invention, S52 includes:

[0082] S521. Retrieve the algorithm calibration parameter set, synchronously receive the raw sensing data collected in real time, and integrate them to form a data set to be compensated; according to the regional compensation rules and noise filtering parameters in the parameter set, perform dynamic compensation calculations on the data set by region and channel to correct the deviation of the original data.

[0083] S522. Output the data after preliminary compensation, compare it with the preset ideal data range, verify the compensation effect, and generate feedback on the effectiveness of compensation.

[0084] S523: Start the timed detection mechanism, set a detection cycle of 500ms, and generate a periodic detection trigger signal; after receiving the trigger signal, extract the compensated data of each logical block of the whole screen, and synchronously retrieve the corresponding calibration reference value.

[0085] S524. Calculate the difference between the compensated data and the calibration reference value for each region, statistically analyze the deviation range of each region, and generate a detailed list of regional deviations. Summarize the dynamic compensation results and the detailed list of regional deviations to form a data consistency test report, providing a basis for subsequent anomaly judgment.

[0086] The working principle and effects of the above technical solution are as follows: It improves the accuracy of dynamic compensation of raw data; regional and channel-specific processing allows for rapid correction of deviations in each region, resulting in better data consistency; it enhances the reliability of compensation effect verification, avoiding secondary deviations caused by insufficient or excessive compensation; the 500ms timed detection makes full-screen data monitoring more timely, reducing the situation where deviations accumulate undetected; clear regional deviation details provide a clear basis for anomaly judgment, avoiding misjudgments or omissions due to data ambiguity; it can correct data fluctuations in real time and continuously track consistency status, making subsequent anomaly handling more efficient, ensuring stable output of touch data, and improving the accuracy and smoothness of operation.

[0087] In one embodiment of the present invention, S521 includes:

[0088] Initiate the parameter retrieval process, extract the algorithm calibration parameter set from the touch controller storage module, including core information such as regional compensation rules and noise filtering parameters, and generate parameter retrieval completion feedback;

[0089] Receive real-time raw sensing data transmitted from each logical block and sensing channel of the touch screen, classify and organize it according to area affiliation and channel identifier, and generate an ordered raw data sequence;

[0090] The parameter extraction results are associated and matched with the ordered original data sequence, so that the original data of each region corresponds to a specific compensation rule and the original data of each channel corresponds to the appropriate filtering parameters, and are integrated to form a set of data to be compensated.

[0091] The data set to be compensated is structurally split into data subsets for the central area, transition area, and edge area, while the independent data segments of each sensing channel are separated.

[0092] Based on the regional compensation rules, baseline correction operations are performed on the data subsets of each region to adjust the original data deviation caused by the difference in electric field distribution in different regions and generate regional compensation intermediate data.

[0093] Based on noise filtering parameters, the intermediate data of regional compensation for each channel are subjected to targeted filtering to remove interference signals such as power frequency noise and high frequency spikes, while retaining the real touch sensing characteristics.

[0094] The filtered regional data from each channel are re-integrated according to the original structure, the data integrity and regional coherence are verified, and a complete dataset after dynamic compensation is generated to complete the correction of the original data deviation.

[0095] The working principle and effects of the above technical solution are as follows: It improves the accuracy of dynamic compensation of raw data, the regionalized exclusive compensation rules are tailored to the electric field distribution characteristics of different blocks, and the channel-adaptive filtering parameters accurately correspond to the conditions of each channel, making deviation correction more targeted; it enhances the purity of data, effectively filters out interference such as power frequency noise and high-frequency glitches, and completely preserves the real touch sensing characteristics; it reduces compensation errors caused by regional or channel data confusion and avoids mutual influence of deviations in different regions; it can not only correct the baseline deviation of each region individually, but also specifically handle the noise interference of each channel, so that the integrity and consistency are maintained throughout the data splitting and integration process; it reduces the overall deviation of raw data, provides a high-quality data foundation for subsequent consistency detection, makes touch feedback more accurate and stable, and avoids operation delays or false triggers caused by improper data processing.

[0096] One embodiment of the present invention, such as Figure 2 As shown, a system for implementing the above-described method for optimizing the consistency of raw data in a capacitive touchscreen is characterized in that the system comprises:

[0097] Network construction module: Divides the capacitive touchscreen into full-screen regions to generate multi-logic block data, which includes edge regions, transition regions, and center regions; Deploys a hardware structure precision optimization module based on the multi-logic block data to complete the design and manufacturing of compensation electrodes, electrode array partitioning control, and substrate film layer consistency processing, and constructs a hardware basic network, which has regional feature compensation capabilities.

[0098] Dynamic Adaptation Module: Based on the hardware network, multi-channel dynamic adaptation is performed. Each sensing channel is independently calibrated for gain / zero point through a programmable gain amplifier and offset calibration circuit. Combined with the temperature and humidity sensing module, environmental parameters are collected in real time, dynamic reference capacitor compensation values ​​are generated, and the original data acquisition parameters are adjusted synchronously to form a circuit dynamic adaptation system with enhanced environmental adaptability.

[0099] Real-time calibration module: Constructs a three-dimensional calibration database using raw data collected by the circuit dynamic adaptation system, establishes a four-dimensional mapping model of coordinates, temperature, humidity and capacitance value through machine learning algorithms, and performs real-time calibration of dynamic data using Kalman filtering and least squares fitting algorithms to generate an algorithm calibration parameter set, which has environmental compensation capabilities.

[0100] Calibration closed-loop module: An automated pre-calibration process is introduced into the production process. The electrical characteristics of each logic block are scanned by dedicated testing equipment to establish the original data response model of individual equipment. Based on the model, a pre-calibration parameter package is generated. The pre-calibration parameter package includes a channel compensation table and regional weight coefficients, and is burned into the non-volatile memory of the touch controller to form a pre-calibration closed-loop system that ensures the entire process.

[0101] Dynamic compensation module: The device is started according to the initial calibration parameters output by the pre-calibration closed-loop system. The real-time collected data is dynamically compensated by calibrating the parameter set through the algorithm. The full-screen data consistency detection is performed every 500ms. When the regional deviation exceeds the threshold, the recalibration process is automatically triggered to generate a highly consistent touch data stream with a full-screen original data baseline deviation of ≤±3%.

[0102] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from the spirit and scope of this invention; thus, if these modifications and variations of this invention fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for optimizing the consistency of raw data in a capacitive touchscreen, characterized in that, The method includes: S1. Divide the capacitive touch screen into full-screen regions, generate multi-logic block data, deploy hardware structure precision optimization modules based on multi-logic block data, complete the design and manufacturing of compensation electrodes, electrode array partition control and substrate film layer consistency processing, and build the hardware basic network. S2. Based on the hardware network, multi-channel dynamic adaptation is performed. Each sensing channel is independently calibrated by a programmable gain amplifier and offset calibration circuit. Combined with the temperature and humidity sensing module, environmental parameters are collected in real time, dynamic reference capacitor compensation value is generated, and the original data acquisition parameters are adjusted synchronously to form a circuit dynamic adaptation system with enhanced environmental adaptability. S3. Construct a three-dimensional calibration database using the raw data collected by the circuit dynamic adaptation system, and establish a four-dimensional mapping model of coordinates, temperature, humidity and capacitance value through machine learning algorithms; use Kalman filtering and least squares fitting algorithms to perform real-time calibration of dynamic data and generate an algorithm calibration parameter set. S4. Introduce an automated pre-calibration process in the production process. Use dedicated testing equipment to scan the electrical characteristics of each logic block and establish the original data response model of individual equipment. Generate a pre-calibration parameter package based on the model and burn it into the non-volatile memory of the touch controller to form a pre-calibration closed-loop system that ensures the entire process. S5. Start the device according to the initial calibration parameters output by the pre-calibration closed-loop system, and dynamically compensate the real-time acquired data through the algorithm calibration parameter set; perform a full-screen data consistency test every 500ms, and automatically trigger the recalibration process when the regional deviation exceeds the threshold, generating a high-consistency touch data stream with a full-screen original data baseline deviation ≤ ±3%.

2. The method for optimizing the consistency of raw data in a capacitive touchscreen according to claim 1, characterized in that, S1 includes: S11. Conduct full-screen geometric analysis of the capacitive touchscreen, divide it into regions according to the electric field distribution characteristics, and generate multi-logic block data. S12. Based on the electrode characteristics of different regions in multi-logic block data, initiate the precise design and manufacturing of compensation electrodes. Obtain the outline data of the incomplete main electrode through high-resolution optical scanning, determine the compensation area through quantitative analysis, process the stepped compensation electrode using laser etching process, and achieve a reliable connection between the compensation electrode and the main electrode using low-resistance connection process. S13. Based on the partitioning planning of multiple logical blocks, implement the partitioning control of the electrode array, delineate the range of each area with the geometric center of the screen as the reference, and use photoresist coating and exposure development process to achieve differentiated processing of electrode spacing in different areas. For flexible areas, use special photolithography process to process the electrode structure. S14. Promote the consistency of substrate and film layer. Select a high flatness substrate and pre-treat it to improve the adhesion of film layer. Use magnetron sputtering or micro-gravure coating process to uniformly coat conductive film layer. S15. Integrate the design and manufacturing of compensation electrodes, the zoning control of electrode arrays, and the consistency processing results of substrate film layers, deploy a hardware structure precision optimization module, and build a hardware basic network with regional feature compensation capabilities.

3. The method for optimizing the consistency of raw data in a capacitive touchscreen according to claim 2, characterized in that, S13 includes: Receive partition planning data for multiple logical blocks, extract the electrode distribution requirements for each region, and generate regional electrode configuration parameters; based on the geometric center of the screen, delineate the specific range of the central area, transition area, and edge area, and generate regional boundary definition data. Based on the regional electrode configuration parameters, prepare the photoresist material, complete the coating operation according to the set thickness, and form a uniform photoresist film layer. Based on the spacing standards of each area, the exposure energy parameters are set, and the exposure and development process is executed to achieve differentiated molding of the spacing between the central area, the transition area, and the edge area. To address the characteristics of flexible regions, the parameters of a dedicated photolithography process were adjusted to fabricate the linewidth, mesh size, and node shape of the metal mesh electrodes. The spacing accuracy of the formed electrode array is tested to verify that the spacing of each area meets the preset standard, and the electrode array zoning control completion data is generated.

4. The method for optimizing the consistency of raw data in a capacitive touchscreen according to claim 1, characterized in that, The S2 includes: S21. Based on the hardware infrastructure network, deploy multi-channel programmable gain amplifiers and offset calibration circuits to form a multi-channel dynamic adaptation architecture. S22. Input standard signals to each sensing channel, collect the output signal amplitude, analyze the channel response deviation, perform independent gain and zero-point calibration on each sensing channel, and unify the channel response characteristics. S23. Deploy temperature and humidity sensing modules to collect environmental parameters at fixed intervals and establish the correlation between environmental parameters and reference capacitance. S24. Calculate the dynamic reference capacitance compensation value based on the collected environmental parameters, and synchronously adjust the original data acquisition parameters to suppress capacitance drift caused by temperature and humidity. S25. Optimize the crosstalk suppression circuit, design an RC filter network to match the working frequency of the electrodes, adopt a differential driving method to output the electrode driving signal, set a shielded grounding layer, and integrate the channel calibration, reference capacitor compensation and crosstalk suppression optimization results to form a circuit dynamic adaptation system with enhanced environmental adaptability.

5. The method for optimizing the consistency of raw data in a capacitive touchscreen according to claim 1, characterized in that, The S3 includes: S31. Through the circuit dynamic adaptation system, raw data of different test points of each logic block are collected under different temperature and humidity combinations; the collected raw data are screened to remove abnormal samples that deviate from the normal range and retain valid data. S32. Construct a three-dimensional calibration database based on valid data to store the correlation information of coordinates, temperature, humidity and capacitance values; use machine learning algorithms to analyze the correlation data in the database and establish a four-dimensional mapping model. S33. Deploy the Kalman filter algorithm, configure the corresponding parameters, filter noise from the dynamically acquired data, use the least squares method to perform linear fitting on the continuously acquired data of the same test point, and dynamically adjust the gain coefficient and offset. S34. Optimize the multi-touch data separation strategy, integrate self-capacitance and mutual capacitance data for touch positioning, establish a crosstalk recognition model, predict touch trajectory, integrate mapping model, noise filtering results, fitting parameters and multi-touch data separation strategy, and generate an algorithm calibration parameter set with environmental compensation capability.

6. The method for optimizing the consistency of raw data in a capacitive touchscreen according to claim 1, characterized in that, The S4 includes: S41. Deploy dedicated testing equipment in the production process to form an automated pre-calibration process architecture; use dedicated testing equipment to perform a comprehensive electrical characteristic scan of each sensing channel of each touch screen and collect a large amount of raw data; S42. Based on the collected raw data, analyze the response characteristics of individual devices and establish a raw data response model for individual devices; based on the raw data response model for individual devices, generate a pre-calibration parameter package. S43. Burn the pre-calibration parameter package into the non-volatile memory of the touch controller, implement full-process process control, detect the electrode processing quality through automatic optical inspection equipment, extract samples to test film performance, use a visual positioning system to control assembly accuracy, and screen qualified products. S44. Integrate the pre-calibration parameter generation, burning, and process control processes to form a pre-calibration closed-loop system that ensures the entire process.

7. The method for optimizing the consistency of raw data in a capacitive touchscreen according to claim 1, characterized in that, The S5 includes: S51. Start the capacitive touch screen device, call the initial calibration parameters stored in the pre-calibration closed-loop system, and complete the initial device setup; during device operation, collect the original sensing data of the touch screen in real time. S52. Use the algorithm calibration parameter set to dynamically compensate the real-time acquired raw data and correct data deviations; perform a full-screen data consistency check every 500ms to compare the deviations of the data in each area with the calibration values. S53. When the detected area deviation exceeds the set standard and continues to exceed the standard multiple times, the recalibration process is automatically triggered to update the calibration parameters; the system self-diagnosis and fault tolerance mechanism is activated. If a certain electrode zone fails, the calibration parameters of the adjacent zone are automatically used for compensation to ensure that the touch function is normal. S54. Through dynamic compensation, consistency detection, automatic calibration and fault tolerance processing, a highly consistent touch data stream with a full-screen original data baseline deviation of ≤±3% is generated.

8. The method for optimizing the consistency of raw data in a capacitive touchscreen according to claim 7, characterized in that, S52 includes: S521. Retrieve the algorithm calibration parameter set, synchronously receive the raw sensing data collected in real time, and integrate them to form a data set to be compensated; according to the regional compensation rules and noise filtering parameters in the parameter set, perform dynamic compensation calculations on the data set by region and channel to correct the deviation of the original data. S522. Output the data after preliminary compensation, compare it with the preset ideal data range, verify the compensation effect, and generate feedback on the effectiveness of compensation. S523. Start the timed detection mechanism, set a detection cycle of 500ms, and generate a periodic detection trigger signal; after receiving the trigger signal, extract the compensated data of each logical block of the whole screen, and synchronously retrieve the corresponding calibration reference value. S524. Calculate the difference between the compensated data and the calibration reference value for each region, statistically analyze the deviation range of each region, and generate a detailed list of regional deviations. Summarize the dynamic compensation results and the detailed list of regional deviations to form a data consistency test report, providing a basis for subsequent anomaly judgment.

9. The method for optimizing the consistency of raw data in a capacitive touchscreen according to claim 8, characterized in that, S521 includes: Initiate the parameter retrieval process, extract the algorithm calibration parameter set from the touch controller storage module, and generate parameter retrieval completion feedback; Receive real-time raw sensing data transmitted from each logical block and sensing channel of the touch screen, classify and organize it according to area affiliation and channel identifier, and generate an ordered raw data sequence; The parameter extraction results are associated and matched with the ordered original data sequence, so that the original data of each region corresponds to a specific compensation rule, and the original data of each channel corresponds to the appropriate filtering parameters, and are integrated to form a set of data to be compensated. The data set to be compensated is structurally split into data subsets for the central area, transition area, and edge area, while the independent data segments of each sensing channel are separated. Based on the regional compensation rules, baseline correction operations are performed on the data subsets of each region to adjust the original data deviation caused by the difference in electric field distribution in different regions and generate regional compensation intermediate data. Based on noise filtering parameters, the intermediate data of regional compensation for each channel are filtered in a targeted manner to preserve the real touch sensing characteristics. The filtered regional data from each channel are re-integrated according to the original structure, the data integrity and regional coherence are verified, and a complete dataset after dynamic compensation is generated to complete the correction of the original data deviation.

10. A system for implementing the capacitive touchscreen raw data consistency optimization method as described in claim 1, characterized in that, The system includes: Network construction module: Divide the capacitive touch screen into full-screen regions, generate multi-logic block data, deploy a hardware structure precision optimization module based on the multi-logic block data, complete the design and manufacturing of compensation electrodes, electrode array partition control and substrate film layer consistency processing, and build the hardware basic network. Dynamic Adaptation Module: Based on the hardware network, multi-channel dynamic adaptation is performed. Each sensing channel is independently calibrated for gain / zero point through a programmable gain amplifier and offset calibration circuit. Combined with the temperature and humidity sensing module, environmental parameters are collected in real time, dynamic reference capacitor compensation values ​​are generated, and the original data acquisition parameters are adjusted synchronously to form a circuit dynamic adaptation system with enhanced environmental adaptability. Real-time calibration module: Constructs a three-dimensional calibration database using raw data collected by the circuit dynamic adaptation system; establishes a four-dimensional mapping model of coordinates, temperature, humidity, and capacitance values ​​through machine learning algorithms; and uses Kalman filtering and least squares fitting algorithms to perform real-time calibration on dynamic data, generating a set of algorithm calibration parameters. Calibration closed-loop module: An automated pre-calibration process is introduced into the production process. The electrical characteristics of each logic block are scanned by dedicated testing equipment to establish the original data response model of individual equipment. Based on the model, a pre-calibration parameter package is generated and burned into the non-volatile memory of the touch controller, forming a pre-calibration closed-loop system that ensures the entire process. Dynamic compensation module: The device is started according to the initial calibration parameters output by the pre-calibration closed-loop system. The real-time collected data is dynamically compensated by calibrating the parameter set through the algorithm. The full-screen data consistency detection is performed every 500ms. When the regional deviation exceeds the threshold, the recalibration process is automatically triggered to generate a highly consistent touch data stream with a full-screen original data baseline deviation of ≤±3%.

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