Method, system and medium for eliminating static electricity of touch screen

Abstract

The present invention relates to the field of capacitive touch screen technology, and in particular to a method, system, and medium for eliminating static electricity on a touch screen. The method comprises the following steps: sampling real-time touch pressure distribution data on the touch screen, and identifying a user's high-frequency interactive screen area based on the real-time touch pressure distribution data; evaluating the static electricity accumulation risk of the current operation based on the user's high-frequency interactive screen area, and generating a compensation static electricity accumulation prediction value; performing circuit coordinated adjustment parameter processing based on the compensation static electricity accumulation prediction value to construct an energy coordinated absorption strategy; performing active static electricity absorption control based on the energy coordinated absorption strategy to generate a screen comprehensive charge safety index; adjusting touch sensitivity parameters based on the screen comprehensive charge safety index to achieve coordinated elimination of accumulated static electricity on the touch screen surface and maintenance of dynamic balance. The present invention realizes touch screen static electricity elimination based on the coordinated energy absorption of a TVS tube and a voltage regulator.

Description

Technical Field

[0001] The present invention relates to the technical field of capacitive touch screens, and in particular to a method, system and medium for eliminating static electricity on a touch screen. Background Art

[0002] Touchscreen controllers are controlled by integrated circuits (ICs), which typically use silicon (Si) or other semiconductor materials. These materials are sensitive to current, especially high-voltage electrostatic discharges. Therefore, the touchscreen itself must possess excellent interference and anti-static capabilities. While these materials inherently have some anti-static capabilities, they are prone to breakdown or damage under high voltage conditions. ESD discharge can easily cause excessive current flow, leading to inaccurate touch control, false touches, screen flickering, and even permanent damage. The main causes of static electricity accumulation are frictional contact ionization, changes in ambient humidity, and the potential difference between the human body and the screen. The characteristics of the touchscreen surface material further exacerbate this phenomenon. When the static voltage exceeds a certain threshold, it triggers a transient high-current discharge, causing damage to internal circuits or parameter drift in the touchscreen chip, leading to device performance degradation or even failure. However, traditional ESD protection methods rely primarily on single MOV varistors for transient overvoltage absorption. This approach only passively responds to ESD discharges and cannot proactively prevent ESD accumulation. Furthermore, these protection components are prone to saturation when absorbing high-energy static electricity, significantly reducing their effectiveness. Summary of the Invention

[0003] Based on this, the present invention provides a method, system and medium for eliminating static electricity of a touch screen to solve at least one of the above technical problems.

[0004] To achieve the above object, a method for eliminating static electricity from a touch screen includes the following steps:

[0005] Step S1: sampling real-time touch pressure distribution data of the touch screen, and continuously tracking the touch position according to the real-time touch pressure distribution data to generate touch trajectory sequence point data; identifying the user's high-frequency interaction screen area according to the touch trajectory sequence point data;

[0006] Step S2: Evaluate the electrostatic accumulation risk of the current operation based on the touch trajectory sequence point data and the user's high-frequency interactive screen area, perform environmental parameter compensation, and generate a compensated electrostatic accumulation prediction value; synchronously sample the TVS tube transient voltage sequence and the regulator input disturbance data, and perform response timing and energy sharing characteristics analysis based on the TVS tube transient voltage sequence and the regulator input disturbance data to obtain TVS regulator linkage response data;

[0007] Step S3: performing circuit cooperative adjustment parameter processing on the compensation electrostatic accumulation prediction value through the TVS regulator linkage response data to construct an energy coordinated absorption strategy;

[0008] Step S4: Active static absorption control is performed according to the energy coordinated absorption strategy, and the touch screen static risk assessment is performed to generate a comprehensive screen charge safety index; touch sensitivity parameters are adjusted according to the comprehensive screen charge safety index to achieve coordinated elimination of accumulated static electricity on the touch screen surface and maintenance of dynamic balance.

[0009] Preferably, the present invention further provides a touch screen static elimination system, which performs the touch screen static elimination method described above, and the touch screen static elimination system includes:

[0010] The touch operation acquisition module is used to sample real-time touch pressure distribution data of the touch screen, continuously track the touch position based on the real-time touch pressure distribution data, and generate touch trajectory sequence point data; and identify the user's high-frequency interaction screen area based on the touch trajectory sequence point data;

[0011] The electrostatic risk analysis module is used to assess the electrostatic accumulation risk of the current operation based on the touch trajectory sequence point data and the user's high-frequency interactive screen area, perform environmental parameter compensation, and generate a compensated electrostatic accumulation prediction value. It also synchronously samples the TVS tube transient voltage sequence and the regulator input disturbance data, and analyzes the response timing and energy sharing characteristics based on the TVS tube transient voltage sequence and the regulator input disturbance data to obtain the TVS regulator linkage response data.

[0012] The electrostatic energy coordination module is used to perform circuit coordination parameter processing on the predicted value of compensated electrostatic accumulation through the TVS regulator linkage response data to build an energy coordination absorption strategy;

[0013] The dynamic balance control module is used to actively absorb static electricity based on the energy coordinated absorption strategy, conduct touch screen static risk assessment, and generate a comprehensive screen charge safety index; touch sensitivity parameters are adjusted based on the comprehensive screen charge safety index to achieve coordinated elimination of accumulated static electricity on the touch screen surface and maintenance of dynamic balance.

[0014] Preferably, the present invention further provides a computer-readable storage medium storing a computer program, wherein when the computer program is executed, the static electricity elimination method for a touch screen as described above is implemented.

[0015] This invention incorporates a TVS diode and voltage regulator design. When transient voltages (such as lightning strikes and electrostatic discharges) occur, they can quickly drain overvoltage to ground, preventing damage to circuit components. Voltage regulators typically include built-in filters or reactors to filter high-frequency noise and transient electrostatic interference from the input voltage. These filters effectively isolate electrostatic interference from the power input, thereby protecting electrical equipment from electrostatic damage. Voltage regulators also typically include transient voltage suppressors (TVSs), such as overvoltage protection circuits and surge protection circuits, to handle sudden high voltages or electrostatic discharges. These circuits protect the voltage regulator and connected load devices from damage caused by static electricity or surge voltages by limiting current and absorbing overvoltage. TVS diodes protect circuits from transient voltages and surges, particularly during lightning strikes, electromagnetic interference (EMI), or power supply fluctuations. The addition of TVS diodes effectively improves the product's anti-interference capabilities and stability. During power supply fluctuations or sudden voltage changes, TVS diodes can quickly absorb and suppress overvoltages, preventing damage to sensitive components. Compared to traditional overvoltage protection solutions, TVS diodes react faster and provide better protection. The combination of the two provides more comprehensive protection for equipment, especially in industrial, automotive, and other applications with high electrical safety requirements. This can effectively improve equipment safety and reduce damage or failure caused by voltage fluctuations or transient voltages. ① Compared to traditional designs, the addition of a voltage regulator significantly improves the stability of anti-static capabilities. ② It is compact, consumes less power, and has a fast processing speed, making it suitable for a variety of electronic products. ③ The new design improves the IC's electrostatic resistance, reducing manufacturing costs (low-cost ICs can be used instead of high-cost ICs), while also increasing chip durability and reducing failure rates. ④ The design offers broader compatibility, allowing seamless integration with existing devices and systems, adapting to a variety of application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 Schematic diagram of the steps of the static elimination method for a touch screen of the present invention;

[0017] Figure 2 for Figure 1 Detailed implementation steps of step S1 in FIG.

[0018] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0019] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. It is obvious that the embodiments described are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts are within the scope of protection of the present invention.

[0020] In addition, the accompanying drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. Identical reference numerals in the figures denote identical or similar parts, and thus repetitive descriptions thereof will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor and / or microcontroller approaches.

[0021] It should be understood that although the terms "first," "second," and the like may be used herein to describe various elements, these elements should not be limited by these terms. These terms are used solely to distinguish one element from another. For example, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element, without departing from the scope of the exemplary embodiments. The term "and / or" as used herein includes any and all combinations of one or more of the listed associated items.

[0022] To achieve this, please refer to Figures 1 to 2 The present invention provides a method for eliminating static electricity of a touch screen, comprising the following steps:

[0023] Step S1: sampling real-time touch pressure distribution data of the touch screen, and continuously tracking the touch position according to the real-time touch pressure distribution data to generate touch trajectory sequence point data; identifying the user's high-frequency interaction screen area according to the touch trajectory sequence point data;

[0024] Step S2: Evaluate the electrostatic accumulation risk of the current operation based on the touch trajectory sequence point data and the user's high-frequency interactive screen area, perform environmental parameter compensation, and generate a compensated electrostatic accumulation prediction value; synchronously sample the TVS tube transient voltage sequence and the regulator input disturbance data, and perform response timing and energy sharing characteristics analysis based on the TVS tube transient voltage sequence and the regulator input disturbance data to obtain TVS regulator linkage response data;

[0025] Step S3: performing circuit cooperative adjustment parameter processing on the compensation electrostatic accumulation prediction value through the TVS regulator linkage response data to construct an energy coordinated absorption strategy;

[0026] Step S4: Active static absorption control is performed according to the energy coordinated absorption strategy, and the touch screen static risk assessment is performed to generate a comprehensive screen charge safety index; touch sensitivity parameters are adjusted according to the comprehensive screen charge safety index to achieve coordinated elimination of accumulated static electricity on the touch screen surface and maintenance of dynamic balance.

[0027] In an embodiment of the present invention, the touch screen static elimination method includes the following steps:

[0028] Step S1: sampling real-time touch pressure distribution data of the touch screen, and continuously tracking the touch position according to the real-time touch pressure distribution data to generate touch trajectory sequence point data; identifying the user's high-frequency interaction screen area according to the touch trajectory sequence point data;

[0029] In this embodiment of the present invention, a high-precision capacitive touch sensor array with a 384×256 sensing matrix (98,304 sampling points) is used to sample real-time touch pressure distribution data from the touch screen. The touch screen controller continuously scans the entire screen surface at a sampling frequency of 250 Hz. Each sensing element acquires capacitance changes using a 24-bit analog-to-digital converter, achieving a capacitance resolution of 0.01 pF and a corresponding pressure sensitivity of 0.5 g / cm². The collected raw capacitance data is filtered by an onboard digital signal processor using a 5×5 Gaussian filter to eliminate ambient noise. A centroid algorithm is then applied to calculate the precise coordinates of the actual touch point and the pressure distribution map. The pressure distribution data is stored as a 16-bit deep heat map, containing the touch point center coordinates, coverage area, peak pressure, and pressure gradient information. Continuous touch position tracking utilizes a Kalman filter algorithm with a prediction window set to 20 milliseconds, achieving tracking accuracy better than 0.3 mm. This algorithm predicts the next touch point location based on the current touch position, velocity vector, and acceleration vector, achieving smooth trajectory tracking. A trajectory segment consists of 25 consecutive touch points. Each point records absolute coordinates (accurate to the screen pixel), timestamp (accurate to 1 millisecond), pressure value (quantized to 256 levels), and contact area (accurate to 0.1 square millimeter). The system stores all trajectory segments within the last 60 seconds in a 4-megabyte circular buffer, forming the complete touch trajectory sequence point data. The high-frequency interaction area identification algorithm divides the touch screen into an 8×6 grid (48 areas in total) and counts the touch frequency, cumulative dwell time, and average pressure value for each area. If the cumulative number of touches in an area exceeds 25% of the total touches within 30 seconds, or the cumulative dwell time exceeds 30% of the total interaction time, the area is marked as a high-frequency interaction area. The system identifies up to three high-frequency interaction areas and assigns each area a priority level (1-3), which is proportional to the product of touch frequency and dwell time.

[0030] Step S2: Evaluate the electrostatic accumulation risk of the current operation based on the touch trajectory sequence point data and the user's high-frequency interactive screen area, perform environmental parameter compensation, and generate a compensated electrostatic accumulation prediction value; synchronously sample the TVS tube transient voltage sequence and the regulator input disturbance data, and perform response timing and energy sharing characteristics analysis based on the TVS tube transient voltage sequence and the regulator input disturbance data to obtain TVS regulator linkage response data;

[0031] In this embodiment of the present invention, a multi-parameter dynamic assessment model is used to assess the electrostatic accumulation risk of the current operation based on touch trajectory sequence data and high-frequency user interaction screen areas. First, three basic parameters are calculated: touch rate (the number of touch events per unit time), touch intensity (the product of average pressure and contact time), and touch distribution density (the number of touch points per unit area). The original electrostatic accumulation risk score is calculated as follows: "Electrostatic Risk Score = Touch Rate × 0.4 + Touch Intensity × 0.35 + Touch Distribution Density × 0.25," with a score range of 0-100. For high-frequency interaction areas, the system applies regional weighting factors: 1.5 for primary areas, 1.3 for secondary areas, 1.1 for tertiary areas, and 1.0 for non-high-frequency areas. Environmental parameter compensation includes temperature and humidity compensation, with compensation data collected by built-in sensors. The temperature sensor (measurement range -20 to 70 degrees Celsius, accuracy ±0.5 degrees Celsius) and humidity sensor (measurement range 10%-95%, accuracy ±3%) sample every 30 seconds. The environmental compensation coefficient was determined experimentally: within the 5-35°C temperature range, the electrostatic risk increases by 8% for every 5°C decrease; within the 30%-80% relative humidity range, the electrostatic risk increases by 12% for every 10% decrease in relative humidity. The baseline environmental conditions are 25°C and 60% relative humidity. The predicted value of compensated static accumulation is calculated as "raw score × temperature compensation coefficient × humidity compensation coefficient," accurate to 0.1 unit. The TVS diode transient voltage sequence is synchronously sampled using a high-speed sampling circuit with a 1 GHz sampling rate and a sampling depth of 4096 points. The trigger threshold is set at 90% of the TVS nominal breakdown voltage. The voltage regulator input disturbance data is continuously recorded using a dual-channel oscilloscope circuit with a 500 MHz sampling rate, recording the input voltage and current waveforms. Response timing analysis uses a time-domain correlation algorithm to determine the precise relative relationship between the TVS diode conduction time and the voltage regulator response time, with a time resolution of 1 nanosecond. Energy sharing characteristic analysis calculates the energy absorbed by each device by numerically integrating the voltage-current waveforms using a trapezoidal integration method with a 2 nanosecond step size. The analysis results in the TVS regulator's coordinated response data, which includes four key parameters: response timing difference, energy sharing ratio, peak voltage / current, and response duration.

[0032] Step S3: performing circuit cooperative adjustment parameter processing on the compensation electrostatic accumulation prediction value through the TVS regulator linkage response data to construct an energy coordinated absorption strategy;

[0033] In this embodiment of the present invention, when using TVS regulator linkage response data to perform circuit coordinated parameter adjustment on the predicted value of compensated static electricity accumulation, the predicted value is first mapped to a five-level electrostatic threat system. This mapping utilizes a nonlinear, segmented conversion: predicted values ​​0-25 correspond to threat level 1, 26-45 to threat level 2, 46-70 to threat level 3, 71-85 to threat level 4, and 86-100 to threat level 5. After the threat level is determined, the standard energy sharing ratio of the TVS diode for the corresponding level is extracted from a pre-stored parameter table: 55% for threat level 1, 65% for threat level 2, 75% for threat level 3, 85% for threat level 4, and 92% for threat level 5. The standard sharing ratio is obtained through 1000 electrostatic discharge tests of varying intensities, with test voltages ranging from 2 kilovolts to 15 kilovolts. To account for the impact of the actual operating environment on TVS response, a temperature correction factor is introduced: "Actual sharing ratio = standard sharing ratio × (1 + temperature deviation × 0.004)", where the temperature deviation is the difference between the current temperature and a reference temperature of 25 degrees Celsius. The total electrostatic energy estimation formula is "total electrostatic energy = (predicted value - 10) × 2.5 microjoules." This formula was obtained through extensive touch operation and actual electrostatic discharge energy measurement experiments. The voltage regulator's collaborative energy absorption quota is calculated as "collaborative quota = total electrostatic energy × (1 - actual TVS absorption ratio - 0.08) × 0.85," where 0.08 is the fixed loss factor and 0.85 is the voltage regulator protection factor. Bypass discharge optimization utilizes a three-level capacitor array adjustment technology, dynamically adjusting the array activation state based on the ESD threat level. A level 1 threat activates only the first capacitor group (100 nanofarads x 4 in parallel); a level 2 threat activates the first two capacitor groups (adding 220 nanofarads x 2 in parallel); and a level 3 or higher threat activates all three capacitor groups (adding an additional 470 nanofarads x 1). Circuit coordination parameters include the TVS front-end current-limiting resistor value (ranging from 2.2 to 22 ohms in 0.1 ohm increments), the regulator feedback loop gain (ranging from 0.5 to 5 in 0.25 increments), the bypass capacitor array configuration (three switch states), and the ground path selection (two-bit encoding). These parameters are stored in a 32-bit control register, forming a complete coordinated energy absorption strategy.

[0034] Step S4: Active static absorption control is performed according to the energy coordinated absorption strategy, and the touch screen static risk assessment is performed to generate a comprehensive screen charge safety index; touch sensitivity parameters are adjusted according to the comprehensive screen charge safety index to achieve coordinated elimination of accumulated static electricity on the touch screen surface and maintenance of dynamic balance.

[0035] In an embodiment of the present invention, the touchscreen protection circuit utilizes a four-channel parallel absorption architecture for active electrostatic absorption control based on a coordinated energy absorption strategy. First, a digital delay controller (with a time accuracy of 25 nanoseconds) precisely controls the TVS diode conduction timing. Adjusting the front-end digital potentiometer (128 levels, ranging from 2.2 to 22 ohms) dynamically adjusts the TVS diode shunt impedance. Simultaneously, three transistor arrays driving the auxiliary discharge path of the voltage regulator utilize different gate voltages (3 volts, 4 volts, and 5 volts) to create a stepped conduction effect, achieving coordinated voltage regulator absorption. The bypass capacitor array uses solid-state switches to control the timing of its on-state, precisely controlling the conduction delay within three steps: 50 nanoseconds, 100 nanoseconds, and 150 nanoseconds. The touchscreen surface potential is monitored using a matrix-type 16×16 electric field sensor array. Each sensor point uses a high-input impedance (>1000 megohm) operational amplifier to acquire the local electric field strength, completing the potential measurement without affecting the surface charge distribution. An interpolation algorithm expands the 16×16 matrix into a 64×64 high-resolution potential grid. The system analyzes grid data using four safety potential thresholds (±300 V, ±600 V, ±1200 V, and ±2000 V) to identify areas of abnormally high potential. Active charge neutralization is then performed on these identified areas. Using eight ion ejectors built into the frame, the neutralization device selects positive and negative ion beams based on the target area's potential and precisely neutralizes the area until the average potential drops below ±50 V. The screen's comprehensive charge safety index is calculated based on parameters such as the screen's surface RMS potential, maximum potential gradient, and the proportion of points exceeding the threshold. The safety index is categorized into five levels (0-20: extremely safe, 20-40: safe, 40-60: moderate, 60-80: risky, and 80-100: high risk). When adjusting touch sensitivity parameters based on the safety index, the system extracts the parameter group corresponding to the safety index level from a preset touch parameter table: touch recognition threshold (range 10-45), signal filtering strength (range 1-5), touch response time (range 5-20 milliseconds), edge recognition sensitivity (range 30%-85%), and multi-point resolution (range 3-12 mm). Taking into account user touch behavior characteristics (touch frequency, average pressure, touch accuracy, and multi-point usage), the user experience impact factor is calculated, ranging from 0.1 to 1.5. This impact factor is applied to the sensitivity parameters for dynamic adjustment, ensuring a good touch experience while eliminating static interference. The final touch sensitivity parameters are loaded into the touchscreen controller through an atomic write operation, achieving a coordinated elimination of accumulated static electricity on the touchscreen surface and maintaining dynamic balance.

[0036] Preferably, step S1 includes the following steps:

[0037] Step S11: sampling the touch operation pressure intensity according to the pressure sensor array built into the touch screen to obtain real-time touch pressure distribution data;

[0038] Step S12: Analyze valid touch events based on the real-time touch pressure distribution data. A valid touch event is determined when the pressure value is within the range of 20-2000 g / cm², the contact area is greater than 4 mm², the pressure duration exceeds 50 ms, and the pressure change rate is greater than 5 g / cm²·ms within 100 ms of the initial contact.

[0039] Step S13: detecting the capacitance change characteristics between the contact object and the screen surface material through the real-time touch pressure distribution data based on the valid touch event state, and obtaining the capacitance characteristic value of the contact object;

[0040] Step S14: identifying the contact object type based on the capacitance characteristic value of the contact object using a preset capacitance characteristic library to obtain a contact object category code;

[0041] Step S15: Continuously tracking the touch position of the touch screen based on the contact material category code to generate touch trajectory sequence point data;

[0042] Step S16: Analyze the user's high-frequency interaction area based on the touch trajectory sequence point data to obtain the user's high-frequency interaction screen area.

[0043] In one embodiment of the present invention, the touch screen incorporates a matrix-arranged pressure sensor array with a density of 16 sensing points per square centimeter. The sampling device is set to a sampling frequency of 120 Hz to enable real-time pressure monitoring of touch operations on the screen surface. When a user's finger or other object touches the screen, a pressure sampling controller drives all sensing points synchronously, recording the pressure value at each touch point, forming a two-dimensional pressure distribution matrix. The sampled data is converted to a digital signal via a 10-bit analog-to-digital converter. The data processing module then filters the noise signal using a low-pass filter with a cutoff frequency of 200 Hz. This ultimately generates real-time touch pressure distribution data containing spatial locations and corresponding pressure values, with a resolution of 0.5 g / cm2. After receiving the real-time touch pressure distribution data, the average pressure value of all pressure points within the contact area is first calculated. When the average pressure value is detected to be within the range of 20-2000 g / cm2, an area calculation program is triggered to calculate the contact area by counting the number of adjacent sampling points with pressure values ​​greater than a threshold and multiplying it by the actual area represented by each sampling point. Simultaneously, a touch persistence monitoring unit starts a timer to record the duration of the pressure value. Within 100 milliseconds of the initial touch, the pressure change rate calculation unit performs differential calculations on the pressure values ​​sampled every 10 milliseconds, generating 10 pressure change rate data points. The average of these data points is used as the initial touch pressure change rate. When all four conditions (pressure range, area greater than 4 square millimeters, duration greater than 50 milliseconds, and pressure change rate greater than 5 g / cm2·ms) are met simultaneously, the touch determination unit marks the current touch state as a valid touch event. After confirming a valid touch event, the touchscreen capacitance detection unit begins operation. This unit consists of a capacitive sensing layer embedded beneath the touchscreen, corresponding one-to-one with the pressure sensor array. Capacitance detection utilizes mutual capacitance detection, sending a 150 kHz AC signal from a transmitting electrode to a receiving electrode. When an object contacts the screen surface, the difference in dielectric constant between the materials causes a change in the electric field distribution, resulting in a change in capacitance. This capacitance change is converted to a voltage signal by an integrator circuit and acquired via a 16-bit analog-to-digital converter with a resolution of 0.01 pF. The system records the capacitance change values ​​of all sampling points within the touch area and, combined with the pressure distribution data, generates a three-dimensional feature matrix containing spatial position, pressure value, and capacitance change value. A feature extraction algorithm is then used to calculate parameters such as the average capacitance characteristic value, maximum capacitance change value, and capacitance distribution gradient of the contact object to form a capacitance feature vector for the contact object. Contact object type identification is performed based on a preset capacitance feature library. This capacitance feature library was established by sampling 1,000 common contact objects (including fingers, gloves, styluses, and other materials).During the sampling process, 100 touch operations were performed on each material under different temperature (-10°C to 40°C) and humidity conditions (20% to 80% relative humidity). The capacitive feature vectors were recorded and cluster centers were calculated to form a standard feature template. The recognition process uses a nearest neighbor classification algorithm to calculate the Euclidean distance between the capacitive feature vector of the current contact object and each standard template in the feature library. The category with the smallest distance is selected as the recognition result. The recognition system classifies contact objects into 10 main categories: dry human skin, wet human skin, conductive gloves, insulating gloves, capacitive stylus, ordinary plastic, metal, fabric, rubber, and other materials. Each category is assigned a unique category code (an integer from 1 to 10). If the distance between the feature vector and the nearest template exceeds a preset threshold, it is determined to be an unknown type and assigned a category code of 0. For each category code, the system retrieves the corresponding sensitivity parameters, filtering parameters, and prediction parameters from the parameter library. For example, for dry human skin (category code 1), standard sensitivity is used; for insulating gloves (category code 4), sensitivity is increased by 30%; and for metal materials (category code 7), sensitivity is reduced by 20% and interference resistance is enhanced. The system collects touch location data every 5 milliseconds, recording the touch point's coordinates (X and Y coordinates), timestamp, and corresponding pressure value to form a four-tuple data point. The raw touch points are filtered using a Kalman filter algorithm, with the filter parameters dynamically adjusted based on the contact material category code. The intermediate points between adjacent data points are calculated using a cubic spline interpolation algorithm to ensure continuity within the sampling interval. The system ultimately generates touch trajectory sequence point data containing time, position, and pressure information, with a data recording frequency of 200 Hz and a spatial accuracy of 0.1 mm. Analysis of high-frequency user interaction areas is based on long-term collection of touch trajectory sequence point data. The system divides the touch screen into a 10×10 grid cell, with each cell being one-tenth the touch screen size. For each grid cell, the following metrics are statistically calculated: touch event frequency, average dwell time, average touch pressure, and the number of occurrences of the touch trajectory's start and end points. The system analyzes touch trajectory data for 30 consecutive days, including at least 500 valid touch events per day. Each grid cell is scored using a weighted scoring method, calculated as follows: Grid Score = Touch Frequency × 0.4 + Dwell Time × 0.3 + Touch Pressure × 0.1 + Starting Point Count × 0.1 + End Point Count × 0.1. The top 20% of grid cells are marked as high-frequency interaction areas. The system generates a heat map of these high-frequency interaction areas, with red marking the highest-frequency areas, yellow marking the second-highest-frequency areas, and green marking the medium-frequency areas. The heat map data is updated every 24 hours to ensure it reflects the latest user interaction patterns.

[0044] Preferably, in step S2, evaluating the static electricity accumulation risk of the current operation based on the touch trajectory sequence point data and the user's high-frequency interactive screen area, and performing environmental parameter compensation includes:

[0045] Analyze the touch parameters of sliding rate, friction charging, operation frequency and pressing time based on the touch trajectory sequence point data and contact object category code to generate real-time user touch parameters;

[0046] Analyze the user's interactive behavior pattern in the user's high-frequency interactive screen area through the user's real-time touch parameters to obtain interactive behavior pattern data;

[0047] Based on the interactive behavior pattern data, the user's real-time touch parameters are analyzed for electrostatic cumulative contribution, and the electrostatic contribution weight of each parameter is generated;

[0048] The user's real-time touch parameters are weighted by the electrostatic contribution weight of each parameter to assess the static accumulation risk of the current operation and generate an instant static electricity generation potential value;

[0049] Get the current touch screen environment temperature and humidity data;

[0050] The instantaneous static electricity generation potential value is corrected and compensated by the current touch screen environment temperature and humidity data to obtain the compensated static electricity accumulation prediction value.

[0051] In this embodiment of the present invention, touch trajectory sequence point data from the last 30 seconds is retrieved from a database and combined with the obtained contact object category code to calculate four key touch parameters in real time. The sliding rate is calculated by dividing the Euclidean distance between adjacent touch trajectory points by the time interval (in millimeters per second), and applying a 5-point average filter to all rate data. The triboelectric degree is calculated by looking up the triboelectric sequence table corresponding to the contact object category code and combining the pressure value and instantaneous sliding rate: the triboelectric potential difference between dry human skin (category code 1) and screen glass is 320 volts, wet skin (category code 2) is 180 volts, and insulating gloves (category code 4) are 450 volts. The operating frequency is calculated by calculating the total number of touch events per unit time (the last 30 seconds) in units of times per minute. The press duration is calculated using a cumulative statistical method, calculating the total duration of touch pressure greater than 100 g / cm² in seconds. These four parameters are updated in real time to form a real-time user touch parameter vector, which is refreshed every 100 milliseconds. The system pre-defines five typical interaction patterns: light sliding (sliding speed > 80 mm / s, pressing duration < 0.5 seconds per click), fine manipulation (sliding speed < 30 mm / s, pressing duration > 2 seconds per click), mixed interaction, high-frequency clicking (operation frequency > 40 clicks / minute), and long-duration touch (single press duration > 5 seconds). The analysis process uses a pattern recognition algorithm to match the user's touch parameter sequence over the past five minutes with the pre-determined patterns. The matching method uses the least squares method to calculate the difference between the touch parameter vector and the pattern standard vector. A pattern is identified when the difference is less than a preset threshold of 25%. If the difference is greater than the threshold, the system constructs a new interaction pattern. For high-frequency interaction areas, the system analyzes the distribution of interaction patterns within the area, calculates the frequency of each pattern within the area, and generates a regional interaction behavior density map. The final output is interaction behavior pattern data, including the current dominant interaction mode, interaction density in each area, and mode transition frequency. Using a professional static meter (sensitivity 0.1V, range ±20kV), the electrostatic potential generated by 100 testers using 10 different materials for touch operations was measured in a controlled environment (temperature 25°C, relative humidity 40%). The analysis system matched the interactive behavior data with patterns in standard test data to extract a model for the static electricity generation relationship under the corresponding patterns. This model quantified the relationship between four parameters—sliding rate, triboelectric charging, operating frequency, and press duration—and static electricity accumulation. Multiple linear regression analysis was used to calculate the coefficient of influence of each parameter on static electricity accumulation. The results showed that under a standard environment of 25°C temperature and 40% humidity, triboelectric charging contributed 45% to static electricity accumulation, sliding rate contributed 30%, operating frequency contributed 15%, and press duration contributed 10%.The system dynamically adjusts these baseline contribution rates based on the current interaction behavior. For example, for light swipe gestures, the contribution rate of swipe rate increases to 40%, while for prolonged touch gestures, the contribution rate of press duration increases to 25%. Real-time user touch parameters are normalized and converted to values ​​between 0 and 1: swipe rate is divided by the maximum reference value of 150 mm / s, triboelectric charging is divided by the maximum reference value of 500 volts, operating frequency is divided by the maximum reference value of 60 times / minute, and press duration is divided by the maximum reference value of 10 seconds. The normalized parameter values ​​are then multiplied by the corresponding static charge contribution weights and summed to produce a raw static charge risk score. The resulting score is converted to an instantaneous static charge generation potential score between 0 and 100 using a nonlinear mapping function (using an S-shaped curve conversion equation), with 0-20 representing low risk, 21-50 representing low-medium risk, 51-70 representing medium risk, 71-90 representing medium-high risk, and 91-100 representing high risk. To improve assessment accuracy, the system also factors in continuous operation time. If continuous touch operation exceeds three minutes, the system adds a 5% cumulative factor to the instantaneous electrostatic generation potential value; if it exceeds 10 minutes, the cumulative factor is increased by 15%. The risk assessment results are updated every 500 milliseconds, generating a data stream of instantaneous electrostatic generation potential values. This is achieved using a miniature digital temperature and humidity sensor array built into the touchscreen frame. This array consists of four evenly distributed sensors located at the four corners of the touchscreen. Each sensor measures temperature from -40°C to 80°C with an accuracy of ±0.3°C and relative humidity from 0% to 100% with an accuracy of ±2%. The sensor sampling frequency is set to every 60 seconds, and the sampled data is processed using a median filter algorithm to eliminate outliers. The system takes the average of the four sensors as the current touchscreen ambient temperature and relative humidity values. The system also records temperature and humidity trends over the past 24 hours and calculates the rate of change. When the temperature change rate exceeds 3°C / hour or the humidity change rate exceeds 10% / hour, the system increases the sampling frequency to every 15 seconds to capture sudden environmental changes. The system has a built-in environmental impact compensation model, derived from analyzing 1,000 sets of measured static electricity accumulation data under different temperature and humidity conditions (temperature: -10°C to 40°C, relative humidity: 10% to 90%). The compensation calculation process first determines a standard environmental reference point (temperature: 25°C, relative humidity: 40%), under which the compensation coefficient is 1.0. When the measured environment deviates from this reference point, the system calculates the temperature and humidity compensation coefficients: for every 5°C decrease in temperature, the temperature compensation coefficient increases by 0.15; for every 10% decrease in humidity, the humidity compensation coefficient increases by 0.25. The system then substitutes the real-time temperature and humidity data into the calculation to determine the temperature and humidity compensation coefficients for the current environment. These coefficients are then multiplied together to form the comprehensive environmental compensation coefficient. The instantaneous static electricity generation potential value is multiplied by the comprehensive environmental compensation coefficient to obtain the predicted compensated static electricity accumulation value.For example, under the conditions of an ambient temperature of 15°C and a relative humidity of 25%, the temperature compensation coefficient is 1.3, the humidity compensation coefficient is 1.5, and the comprehensive environmental compensation coefficient is 1.95, which means that the risk of static electricity accumulation is 95% higher than that in the standard environment.

[0052] It is particularly important to analyze the touch parameters of sliding rate, friction charging, operation frequency and pressing time based on the touch trajectory sequence point data and contact object category code.

[0053] The displacement changes of adjacent touch points are calculated based on the touch trajectory sequence point data to obtain the instantaneous touch sliding rate;

[0054] Based on the touch trajectory sequence point data, the touch action times are counted using a preset time window to obtain the interaction operation frequency data;

[0055] According to the contact object category code, the relative electrification polarity and intensity parameters are queried to obtain the triboelectric series parameters;

[0056] Perform press duration analysis based on real-time touch pressure distribution data and touch trajectory sequence point data to generate touch press duration;

[0057] The friction electrification sequence parameters, instantaneous touch sliding rate, interactive operation frequency data and touch pressing duration are used as user real-time touch parameters.

[0058] In the embodiment of the present invention, the sampling frequency is fixed at 200 Hz, that is, one touch point data is collected every 5 milliseconds. The sliding rate calculation module uses the adjacent point method to calculate. For any two adjacent sampling points and , where x and y represent the position of the touch point in the screen coordinate system in pixels, and t represents the timestamp in milliseconds. Calculate the Euclidean distance between two points , convert the distance to physical units and multiply it by the screen pixel density conversion factor (such as 5.1 pixels / mm). The time difference is calculated as Instantaneous sliding rate , in millimeters per second. To eliminate measurement noise, the system applies a 7-point weighted sliding average filter to the calculated raw velocity sequence, with filter window weights of [0.05, 0.1, 0.2, 0.3, 0.2, 0.1, 0.05]. The filtered instantaneous touch sliding velocity data is updated every 10 milliseconds and stored in a rate buffer, retaining the most recent 2 seconds of data. The system sets three time windows of varying lengths: short (10 seconds), medium (30 seconds), and long (120 seconds). For each time window, the touch action detection algorithm analyzes the pressure variation pattern within the touch trajectory sequence data. A complete touch action is recorded when the pressure value rises from below 20 g / cm² to exceed the threshold, persists for at least 50 milliseconds, and then falls back below the threshold. The algorithm also identifies specific touch gesture patterns, including tap (single-point touch with a contact time of less than 200 milliseconds), long press (single-point touch with a contact time of more than 800 milliseconds), swipe (touch trajectory with a continuous displacement of more than 5 mm), and multitouch (multiple touch points present simultaneously). The system counts the cumulative number of each type of touch action within three time windows and divides it by the corresponding window duration to obtain short-term, medium-term, and long-term operation frequency values, expressed in times per minute. The operation frequency data is updated every second, forming a time series of interactive operation frequency data. The system includes a comprehensive triboelectric charging sequence table, derived from laboratory testing. The test method involves conducting standard triboelectric charging tests on 50 common materials and the touchscreen glass surface in a constant temperature (25°C) and humidity (40% relative humidity) environment. The resulting potential difference is measured using an electrostatic voltmeter (range ±10 kV, accuracy ±0.1%). The table records the charging polarity (positive / negative) and intensity (in volts) of each material relative to the touchscreen surface. Contact object category codes are mapped to corresponding triboelectric parameters through a lookup table. For example, category code 1 (dry human skin) corresponds to positive polarity and intensity of 320 volts; category code 4 (insulating gloves) corresponds to positive polarity and intensity of 450 volts; and category code 7 (metal) corresponds to negative polarity and intensity of 150 volts. The system sets a friction coefficient μ for each category code, which indicates the resistance between the contact surfaces, such as μ=0.65 for dry human skin and μ=0.82 for insulating gloves. The friction electrification sequence parameters consist of three parts: polarity sign (+ / -), potential intensity value (volts) and friction coefficient. The system sets three pressure thresholds: light pressure threshold (50 g / cm2), medium pressure threshold (150 g / cm2) and heavy pressure threshold (300 g / cm2). The pressing duration is calculated using a cumulative timing method. When the touch pressure is detected to exceed the light pressure threshold, the timer is started, and the timing is stopped when the pressure drops below the light pressure threshold to obtain the duration T of a single press. The system records the pressing duration data of the last 100 touch operations and calculates the average pressing duration. and maximum compression duration At the same time, the distribution of different pressure levels is statistically analyzed: light pressure ratio R1 (the percentage of time between the light pressure threshold and the medium pressure threshold in the total pressing time), medium pressure ratio R2 (the percentage of time between the medium pressure threshold and the heavy pressure threshold), and heavy pressure ratio R3 (the percentage of time above the heavy pressure threshold). The pressing rate V is calculated as the number of complete presses divided by the cumulative contact time, in times / second. The pressing duration feature vector is given by 、 , R1, R2, R3 and V, which constitute a complete description of the touch press duration and are updated every 1 second. Statistical analysis is performed on the instantaneous touch sliding rate, and the average rate V̄ and rate standard deviation in the last 2 seconds are calculated. , forming a rate feature binary (V̄, ). The short-term (F1), medium-term (F2) and long-term (F3) operation frequency values ​​and the change trend slope Sᶠ of the interactive operation frequency data are extracted to form a frequency feature quadruple (F1, F2, F3, Sᶠ). The triboelectric sequence parameters directly use the obtained ternary parameters, including polarity P (value +1 or -1), potential intensity E (unit: volt) and friction coefficient μ. The touch press duration uses the obtained six-parameter vector. The system packages these parameters into a user real-time touch parameter data structure in a predefined format, which contains 15 numerical parameters, and each parameter is standardized to the range of 0-1. The integrated user real-time touch parameters are updated with a period of 100 milliseconds and stored in the touch parameter buffer. At the same time, the historical data of the last 10 minutes is retained for trend analysis.

[0059] Preferably, synchronously sampling the TVS tube transient voltage sequence and the voltage regulator input terminal disturbance data in step S2, and performing response timing and energy sharing characteristic analysis based on the TVS tube transient voltage sequence and the voltage regulator input terminal disturbance data includes:

[0060] Based on the real-time sampling of the current value flowing through the transient voltage suppression diode and the voltage value across it within a preset monitoring period, the transient voltage sequence of the TVS tube is obtained;

[0061] TVS tube avalanche breakdown / clamping action is identified based on the TVS tube transient voltage sequence, and the conduction start time, voltage peak reading, and conduction duration are extracted to obtain the TVS tube conduction characteristic parameters. The TVS tube conduction characteristic parameters include the TVS tube conduction start time data, the measured TVS tube peak clamping voltage value, and the TVS tube conduction duration.

[0062] The instantaneous voltage and current values ​​of the input port of the voltage regulator are periodically and synchronously sampled by using the TVS conduction start time data and the TVS conduction maintenance time in the TVS tube conduction characteristic parameters to obtain the disturbance data of the input port of the voltage regulator;

[0063] According to the disturbance data of the voltage regulator input end and the conduction characteristic parameters of the TVS tube, the response timing and energy sharing characteristics of the TVS tube and the voltage regulator under electrostatic shock are analyzed, and the linkage response data of the TVS regulator is obtained.

[0064] In this embodiment of the present invention, a 20 micro-ohm precision sampling resistor is connected in series with the negative terminal of a TVS diode. A differential amplifier (gain of 50) is connected across the resistor, and its output is fed into a 16-bit analog-to-digital converter (sampling rate of 10 MHz) for current measurement. A 1:100 high-voltage divider network is connected in parallel across the TVS diode, feeding another 16-bit analog-to-digital converter for voltage measurement. The system has a preset monitoring period of 50 milliseconds, during which current and voltage values ​​are continuously collected at 10 nanosecond sampling intervals. The sampled data is then buffered in hardware and fed into a digital signal processing unit, where it is filtered through a bandpass filter (passband 5 kHz to 2 MHz) to remove power frequency interference and high-frequency noise. The processed data forms a TVS diode transient voltage sequence consisting of 5 million sampling points, each containing three parameters: a timestamp (accuracy of 10 nanoseconds), a current value (resolution of 0.1 mA), and a voltage value (resolution of 0.01 V). The nominal breakdown voltage of the TVS diode is determined to be 36 volts, and a voltage threshold of 33 volts (92% of the nominal value) is set as the avalanche breakdown criterion. When the voltage across the TVS diode exceeds the threshold and the current sudden change rate is greater than 5 amperes per microsecond, this moment is marked as the start of TVS conduction (T0), and the precise timestamp of this moment is recorded. The system then tracks the voltage rise curve, recording the peak voltage point and its occurrence time, which typically occurs within 0.5 to 2 microseconds after conduction. The clamping phase monitoring algorithm continuously tracks the current waveform. When the current value drops from the peak to less than 10 mA for more than 100 nanoseconds, the TVS diode is determined to have ended conduction, and the total conduction duration is recorded. The system also calculates the energy absorption value by integrating the product of the voltage and current during the conduction period over time. All parameters are aggregated to form a set of TVS diode conduction characteristic parameters, including: TVS conduction start time data (accurate to nanoseconds), the measured peak clamping voltage of the TVS diode (the measured maximum value is often 38.5V, slightly higher than the nominal value), and the TVS diode conduction duration (typically ranging from 5 to 200 microseconds). Once the TVS diode conduction characteristic parameters are successfully identified and extracted, the system immediately initiates sampling of the regulator input. The sampling circuit consists of two components: an input voltage monitoring unit using a high-impedance (10 megohm) differential input amplifier connected directly to the regulator input; and an input current monitoring unit using a flux-isolated Hall-effect current sensor (with a range of ±5A and a bandwidth of DC to 500kHz) enveloped on the regulator input lead. Sampling begins 1 microsecond before the TVS diode conduction start time and continues 10 microseconds after the TVS diode conduction duration ends, with a sampling frequency set to 5 MHz. To accurately capture transients, the system employs a two-stage buffer: a high-speed analog pre-buffer to clip voltage spikes; and a second, a circular buffer with an extended sampling depth and 4 megabytes of storage. The sampled data is digitized by a 14-bit analog-to-digital converter, generating a disturbance data sequence at the regulator input, including voltage amplitude (resolution 0.01 volt), current amplitude (resolution 0.5 milliampere), and corresponding timestamps.Disturbance data is processed using an adaptive filtering algorithm, dynamically adjusting filtering parameters based on the signal's rate of change to ensure that transient characteristics are not smoothed out. A time correlation mapping table is established to align the TVS diode conduction event timeline with the regulator input disturbance timeline, with an error of less than 20 nanoseconds. Timing analysis includes calculating key time parameters: the delay from TVS diode conduction to regulator response (typically 25 to 150 nanoseconds), the regulator's overvoltage protection activation time (for regulators with overvoltage protection), and the total time required for the system to return to a stable state. Energy sharing analysis integrates the energy absorbed by each component during an electrostatic shock event: the TVS diode's absorbed energy, E. (TVS) It is the integral of the product of voltage and current during conduction over time; the energy absorbed by the regulator E (reg) Calculate by the same method; the total energy of the system E （total） =The sum of the two. The energy distribution ratio is analyzed and calculated: the TVS diode energy contribution (typically 78% to 92%) and the voltage regulator energy contribution (typically 8% to 22%). The system generates a detailed linkage response report, including a timing diagram, energy distribution histogram, and a protection effectiveness score (based on a weighted calculation of response speed, energy sharing balance, and system stability, with a maximum score of 100).

[0065] Preferably, identifying the TVS tube avalanche breakdown / clamping action based on the TVS tube transient voltage sequence and extracting the conduction start time, voltage peak reading, and conduction maintenance time include:

[0066] The TVS device’s rated breakdown voltage is used to identify the precise data point where the voltage first exceeds the threshold in the TVS tube transient voltage sequence, thereby obtaining the TVS avalanche initial trigger point data. The preset TVS device’s rated breakdown voltage range is 5.0V–7.0V.

[0067] Based on the TVS avalanche initial trigger point data, the starting time when the TVS tube enters the avalanche or clamping state is calibrated to obtain the TVS conduction starting time data;

[0068] The initial TVS avalanche trigger point data is used as the indication starting point, and subsequent voltage sampling values ​​in the TVS tube transient voltage sequence are continuously extracted until the voltage value falls below the preset TVS clamping end voltage threshold. This section is determined as the TVS conduction effective window, and the TVS conduction effective voltage segment is obtained. Among them, the TVS clamping end voltage threshold value range is 4.0V–5.5V;

[0069] The maximum value search is performed within the TVS conduction effective voltage range with a time step of less than 10ns to generate the actual measured value of the TVS tube peak clamping voltage

[0070] The end point of the TVS conduction effective voltage segment is calibrated as the TVS conduction cut-off time data;

[0071] The time difference between the TVS conduction start time data and the TVS conduction end time data is calculated to obtain the TVS tube conduction maintenance time.

[0072] In this embodiment of the present invention, a bidirectional TVS protection diode (SMBJ6.0CA) is used. Its rated breakdown voltage is 6.4V, as determined by the chip manufacturer's specifications. The system scans and processes the TVS diode's transient voltage sequence based on this preset threshold. This scanning employs a dual-threshold detection algorithm, with the primary threshold set to the rated breakdown voltage of 6.4V and the secondary threshold set to 80% of the nominal value, or 5.12V. The detection circuit comprises a 16-bit high-speed comparator (with a conversion time of less than 5ns) directly connected to the sampling buffer. When a value in the voltage sequence first changes from below the primary threshold to above it, and the voltage rise rate is greater than 0.5V / ns, the system marks that data point as a candidate trigger point. To eliminate noise interference, the system employs a three-point confirmation mechanism, requiring that three consecutive sampling points exceed the primary threshold for a true trigger to be confirmed. Trigger point data records include a precise timestamp (system clock resolution 1ns), voltage value (measurement resolution 0.01V), and leading slope (calculation accuracy 0.01V / ns). For the measured sample voltage sequence, the typical TVS avalanche initial trigger voltage is 6.53V, slightly higher than the rated value. Interpolation and extrapolation are used to determine the actual physical turn-on instant of the diode, due to the slight time difference between sampling points. The calibration process uses a third-order spline interpolation algorithm, using the avalanche initial trigger point and the five sampling points before and after it as interpolation base points to construct a continuous and smooth voltage curve. On this interpolated curve, the system locates the point where the voltage exactly equals the rated breakdown voltage of 6.4V and defines this point as the TVS turn-on start. To improve accuracy, the calibration circuit also considers the junction capacitance of the TVS diode and introduces a delay correction factor of τ = 2ns. This factor is measured by comparing with known timing pulses generated by a standard pulse generator. The final TVS turn-on start data is accurate to 0.1ns and includes both an absolute timestamp and a time offset relative to the start of trigger sampling. The system writes this time data into a dedicated register, which serves as the time reference for subsequent analysis. The TVS clamping end voltage threshold is set to 5.0V, based on the continuous clamping conditions specified in the device datasheet. The window extraction algorithm begins at the initial TVS avalanche trigger point and continuously scans subsequent voltage samples in 10ns steps. This scanning process utilizes a dedicated hardware acceleration circuit controlled by a 32-bit RISC processor with 128KB of cache. The system applies a five-point sliding median filter to each sample point to eliminate sampling noise. When the voltage values ​​of five consecutive sample points are all below the clamping end voltage threshold of 5.0V, and the voltage change rate is less than 0.05V / ns, the current point is marked as a potential end point. To avoid misjudgments, the system continues to observe voltage behavior over the next 50ns to confirm that the voltage remains below the threshold before finally determining the end boundary of the TVS conduction window.The system extracts all sampled data between the start and end points to form a complete TVS turn-on effective voltage segment, typically consisting of 60 to 200 sampling points with a time span of 0.6 to 2 microseconds. Using a parallel search algorithm, the turn-on effective voltage segment data is simultaneously loaded into eight parallel processing units. Each processing unit searches a different portion of the data segment, with a search time step of 5ns, much smaller than the required 10ns, to ensure that no spikes in the voltage waveform are missed. The search algorithm uses a divide-and-conquer approach, first dividing the data into eight equal-length subsegments, finding the local maximum in each subsegment, and then comparing these eight local maxima to determine the global maximum. To improve accuracy, the system performs a second sampling of the area near the peak point with 0.5ns accuracy and uses a three-point Lagrange interpolation method to estimate the voltage values ​​of the waveform between the sampling points. In this way, the system identifies the measured peak clamping voltage of the TVS diode and records its precise value and occurrence time. For a TVS device with a rated breakdown voltage of 6.4V, the measured peak clamping voltage is typically between 9.8V and 10.2V, occurring between 50ns and 150ns after turn-on. The system records the peak voltage value and its timestamp in a dedicated data structure with 0.01V accuracy. The system uses a threshold crossing method to determine the true cutoff moment: at the end of the TVS's active voltage range, a linear fit is performed on the voltage trend of the last 10 sampling points to calculate the precise time at which the voltage crosses the 5.0V end-of-clamping threshold. The fitting algorithm uses the least squares method and is constructed as follows: The linear equation is: where v represents voltage, t represents time, and a and b are fitting coefficients. After solving for a and b, set v(t) = 5.0V and solve for time t to obtain the theoretical crossover time. To compensate for the charge storage effect during the TVS diode's turn-off process, the system introduces a temperature-dependent correction factor δ. This factor is derived from a lookup table obtained by field measurements of 10 samples over a temperature range of -10°C to 60°C. The system reads the current temperature sensor value (accuracy ±0.5°C), interpolates the correction factor for the current temperature from the lookup table, and applies it to the theoretical crossover time. This results in temperature-compensated TVS turn-on and turn-off times, accurate to 1ns. The calculation circuit is implemented using a 64-bit high-precision timer counter with a counting frequency of 500MHz, providing a time resolution of 2ns. The system directly calculates the difference between the two timestamps: subtracting the TVS turn-on start time from the TVS turn-on and turn-off time data to obtain the original time difference. To eliminate the effects of system clock drift, the calculation circuit applies a clock calibration factor, γ, which is provided by the system calibration module and automatically calibrated hourly with an accuracy of ±0.01%. The corrected time difference is the TVS diode's on-time duration. The system verifies the validity of the calculated result: a properly functioning TVS diode should maintain an on-time duration between 0.5 and 50 microseconds. If the calculated result exceeds this range, an abnormal flag is triggered. The on-time duration data is stored as a 32-bit floating-point number in microseconds with an accuracy of 0.001 microsecond.

[0073] Preferably, analyzing the response timing and energy sharing characteristics of the TVS tube and the voltage regulator under electrostatic shock based on the disturbance data of the voltage regulator input end and the conduction characteristic parameters of the TVS tube includes:

[0074] The electrostatic energy integral calculation within the monitoring period is performed based on the measured value of the TVS tube peak clamping voltage and the TVS tube conduction maintenance time, and the cumulative value of the TVS cycle absorbed energy is obtained;

[0075] Estimating transient energy based on disturbance data at the input of the regulator to generate transient impact energy at the front end of the regulator;

[0076] Calculate the total electrostatic transient energy based on the accumulated energy absorbed by the TVS cycle and the transient impact energy of the regulator front end;

[0077] The total transient energy of electrostatic discharge is processed by the accumulated energy absorbed by the TVS cycle to generate the actual energy sharing ratio of the TVS.

[0078] Based on the ratio of TVS actual energy sharing ratio and total electrostatic transient energy, the energy sharing ratio of the voltage regulator is obtained;

[0079] Based on the TVS conduction start time data and the time when the voltage in the regulator input disturbance data first significantly deviates from the normal value, the time point is extracted to obtain the initial value of the regulator's response delay relative to the TVS action;

[0080] By analyzing the duration of the TVS tube conduction and the time it takes for the voltage at the regulator input to return to normal, we can identify the effective time window of the TVS tube and regulator during energy discharge, and obtain the synergistic window period of the TVS regulator.

[0081] Based on the actual energy sharing ratio of TVS, the energy sharing ratio of regulator, the initial value of the response delay of regulator relative to TVS action and the synergistic window period of TVS regulator, the linkage response characteristics are structurally processed to obtain the TVS regulator linkage response data.

[0082] In this embodiment of the present invention, the sampler sampling rate is set to 25MHz to ensure capture of transients as fast as 40ns. The integral calculation uses a numerical accumulation method: all sampling points within the TVS diode's on-state duration are used as the integration interval. For each time interval Δt (typically 40ns) between two adjacent sampling points, the instantaneous power p(t) = v(t) × i(t) is calculated, where v(t) is the voltage across the TVS diode at that moment, and i(t) is the current flowing through the TVS diode. The energy values ​​within all time intervals are then accumulated: E total cycle = Σ[p(t) × Δt]. The trapezoidal integration method is used to improve accuracy, taking the average power value of two adjacent points for calculation. For a typical ESD event with a peak clamping voltage of 9.8V, a peak current of 2.5A, and an on-state duration of 5μs, the measured cumulative energy absorbed by the TVS diode over the cycle is approximately 72μJ. The energy calculation controller uses a 32-bit floating-point unit, achieving a precision of 0.01μJ. The finite difference method is used to evaluate the energy characteristics of the disturbance data. First, the disturbance start and end time window is determined: starting from the first time the voltage at the regulator input deviates from the nominal value by ±5% and ending when the voltage returns to within ±2% of the nominal value. Within this time window, the system samples the input voltage v_in(t) and current i_in(t) every 4ns. To eliminate measurement noise, a 5-point Gaussian weighted filter (with a weight ratio of 1:4:6:4:1) is applied to the raw data. The transient energy is calculated using the integral method: E_stabilizer = Σ[v_in(t) × i_in(t) × Δt], where Δt is the sampling interval. The calculation takes into account the buffering effect of the regulator's front-end filter capacitor. The stored energy change is calculated by measuring the voltage change ΔV across the capacitor: E_capacitor = 0.5 × C × [(V_initial)² - (V_end)²], where C is the filter capacitor value (typically 22μF), and V_initial and V_end are the capacitor voltages at the start and end of the disturbance, respectively. The final transient energy at the voltage regulator front end is the sum of the two components, with a typical value of 8.5 μJ. The calculated cumulative energy absorbed by the TVS cycle is combined with the calculated transient energy at the voltage regulator front end for analysis. First, the system performs a time synchronization correction on the two energy values ​​to ensure that the statistics represent the same ESD event. This correction is based on the phase difference between the two system clocks and is implemented using an external synchronization signal, with an accuracy of 0.5 ns. Then, a correction factor α = 1.03 is applied to the cumulative energy absorbed by the TVS cycle to compensate for systematic errors in the measurement. This factor is obtained by calibrating a standard ESD generator (compliant with IEC61000-4-2) with known energy discharges. A correction factor β = 0.98 is applied to the transient energy at the voltage regulator front end to compensate for errors caused by impedance mismatch in the measurement circuit. The system calculates the total ESD transient energy using a direct addition method: Etotal = α × EtotalCycle + β × Etotal.For a typical ESD event, the measured total transient electrostatic energy value is approximately 83 μJ, reflecting the total energy contained in a single ESD event. A dedicated floating-point processing unit is used to perform the ratio calculation with 64-bit precision. The calculation process first extracts the cumulative energy absorbed by the TVS device over a cycle, Etotal, and the total transient electrostatic energy, Etotal. The division operation is performed: R_TVS = Etotal / Etotal, resulting in the original energy sharing ratio. To eliminate the impact of temperature on the V-I characteristics of the TVS device, the system incorporates a temperature compensation mechanism: the real-time temperature T (with an accuracy of ±0.2°C) measured by a thermistor near the TVS diode is read and the corresponding correction factor λ(T) is retrieved from a preset temperature correction table. This correction table is obtained by calibrating the energy absorption capacity of the TVS diode under standard ESD shocks at 10°C intervals over a range of -20°C to 80°C. The actual energy sharing ratio is calculated as: R_TVSactual = R_TVS × λ(T). For a typical ESD event at an ambient temperature of 25°C, the actual TVS energy sharing ratio is 86.7%, indicating that the TVS diode absorbs the vast majority of the ESD energy. Based on the calculated TVS actual energy share, the calculation system performs a complementary operation: R_regulator = 1 - R_TVSactual. To verify the accuracy of the calculation results, the system also performs a direct ratio calculation method, dividing the transient impact energy at the regulator front end by the total ESD transient energy: R_regulatordirect = Eregulator / Etotal. The system compares the results of the two methods. If the difference is less than 2%, the calculation is considered valid; if the difference is greater than 2%, a resampling analysis process is triggered. The system also considers the impact of the regulator input protection circuit (including EMI filter and current-limiting resistor) on energy shunting. Using a circuit simulation model, it estimates the energy shunting contribution γ (typically 1.5%) of this contribution and deducts it from the final result: R_regulatorfinal = R_regulator-γ. For a typical ESD event, the regulator's energy share is 11.8%, indicating that the regulator absorbs a certain proportion of the energy in the entire ESD protection system, but the TVS diode still assumes the primary protection responsibility. A high-precision time-synchronized measurement system is used to extract the time point when the TVS diode conduction start time data and the first significant deviation of the voltage from the normal value in the regulator input disturbance data. The system is clocked by a 1GHz time reference circuit with a time resolution of 1ns. The TVS diode conduction start time is obtained from the aforementioned TVS diode detection circuit. The normal voltage range at the regulator input is defined as ±7% of the nominal value of 3.3V, i.e., 3.07V to 3.53V. Any voltage change outside this range that lasts longer than 5ns is considered a significant deviation. A dual-threshold detection circuit is configured using a 16-bit high-speed comparator, with an upper limit of 3.53V and a lower limit of 3.07V. When the regulator input voltage crosses either threshold, the comparator outputs a trigger signal and activates a high-precision counter to record the timestamp. A fixed delay of 2.5ns is introduced in the signal transmission path, determined by measuring a known time series signal.The formula for calculating the initial response delay of the voltage regulator relative to TVS action is "Initial response delay = voltage regulator input deviation timestamp - TVS turn-on start time - 2.5ns." To identify the time window for the TVS diode and voltage regulator to function, a unified time reference coordinate system is first established, based on the TVS diode's on-time duration and the time it takes for the voltage at the voltage regulator input to return to normal, as measured by disturbance data. The origin of this coordinate system is set at the time of the ESD event trigger. The TVS diode's effective action time period is defined as the interval from the start of conduction to the end of conduction; the voltage regulator's effective action time period is defined as the interval from the moment the input voltage deviates from its normal value to the moment it returns to normal and stabilizes for 50ns. In touchscreen controller ESD protection, the TVS diode typically responds first, with a response time of 5 to 15ns after the ESD event; the voltage regulator's response lags behind, with a typical response time of 30 to 50ns. If the two time periods overlap, the overlapping portion is the synergistic action window; if not, the interval between the two time periods is defined as the protection vacuum period. Based on the start and end points of the two time periods, a synergy timing diagram was constructed, recording key time nodes, including the start and end time points of the synergy, as well as the total synergy duration. A multi-parameter weighted fusion method was employed. First, a four-dimensional feature vector was constructed, corresponding to the TVS energy sharing ratio (percentage), the voltage regulator energy sharing ratio (percentage), the response delay time (nanoseconds), and the synergy window duration (nanoseconds). Based on the ESD protection requirements for touch screens, the optimal performance indicators were set as follows: TVS energy sharing ratio of 75%, voltage regulator energy sharing ratio of 17%, response delay time no more than 20ns, and synergy window period of no less than 200ns. By comparing the deviation rates of each dimension with the optimal indicators, a comprehensive deviation index was calculated using weighting coefficients (energy sharing ratio 0.4, voltage regulator sharing ratio 0.2, response delay 0.25, and synergy window period 0.15). A lower comprehensive deviation index indicates better ESD protection performance. Finally, a structured data record is generated, which includes four basic parameter values, a comprehensive deviation index, and a system matching rating (divided into four levels: excellent, good, fair, and inadequate), constituting complete TVS regulator linkage response data.

[0083] Preferably, step S3 includes the following steps:

[0084] Step S31: performing electrostatic intensity quantification processing on the compensated electrostatic accumulation prediction value to obtain the current system electrostatic threat level;

[0085] Step S32: Calculate the ideal initial energy absorption quota of the TVS tube under the current threat based on the current system electrostatic threat level through the TVS regulator linkage response data to obtain the TVS dynamic sharing target ratio;

[0086] Step S33: Calculate the energy share that the voltage regulator needs to collaboratively bear according to the TVS dynamic sharing target ratio and the TVS voltage regulator linkage response data to obtain the voltage regulator collaborative absorption energy quota;

[0087] Step S34: Optimizing the auxiliary discharge capacitor for the TVS tube initial sharing target value and the voltage regulator collaborative absorption energy quota to obtain a bypass discharge energy target;

[0088] Step S35: performing circuit collaborative adjustment parameter processing on the TVS dynamic sharing target ratio, the voltage regulator collaborative absorption energy quota, and the bypass discharge energy target to construct an energy coordinated absorption strategy.

[0089] In this embodiment of the present invention, a five-level quantization mapping table is used to quantify the electrostatic intensity of the predicted value of the compensated static accumulation. This mapping table was constructed based on 2000 discharge tests conducted on 50 different touch screen models using a standard static generator (compliant with national touch screen testing specifications) in a laboratory. The quantization boundaries are: Level 1 (<3 kV, cumulative energy <5 microjoules), Level 2 (3-6 kV, cumulative energy 5-20 microjoules), Level 3 (6-9 kV, cumulative energy 20-45 microjoules), Level 4 (9-12 kV, cumulative energy 45-80 microjoules), and Level 5 (>12 kV, cumulative energy >80 microjoules). The electrostatic quantization circuit uses a 16-bit analog-to-digital converter to compare the predicted value of the compensated static accumulation (in microjoules) with the quantization boundary values. A digital comparator determines the current cumulative energy range. The output is an integer value from 1 to 5, representing the five threat levels of mild, low, moderate, high, and very high, respectively. The standard energy sharing percentages for TVS diodes at different threat levels were extracted from the system parameter table: 55% for level 1, 65% for level 2, 75% for level 3, 85% for level 4, and 92% for level 5. These standard sharing percentages were obtained through 100 tests under common touchscreen ESD modes (contact discharge and air-gap discharge). The test conditions ranged from -10°C to 50°C and from 30% to 80% humidity. A temperature correction factor was introduced to account for the impact of the touchscreen's actual operating temperature on the TVS response characteristics. A temperature sensor measured the current circuit board temperature, and linear interpolation correction was performed based on the TVS temperature characteristic curve. The correction formula is "actual sharing ratio = standard sharing ratio × (1 + temperature deviation × 0.004)", where the temperature deviation is the difference between the current temperature and the reference temperature of 25°C. The TVS dynamic sharing target ratio was ultimately calculated, accurate to the nearest 0.5%. An energy allocation algorithm that considers timing factors was used to calculate the energy share that the regulators must share based on the TVS dynamic sharing target ratio and the TVS regulator linkage response data. In the touchscreen ESD protection circuit, the voltage regulator's maximum energy tolerance threshold is determined to be 45 microjoules based on its datasheet. Based on the principle of energy conservation, the theoretical energy tolerance of the voltage regulator is calculated by subtracting the TVS load and other circuit losses from the total energy. The calculation formula is "Theoretical voltage regulator energy = Total electrostatic energy × (1 - TVS dynamic load target ratio - 0.08)." 0.08 is a fixed loss factor, representing PCB trace resistance losses (5%) and electromagnetic radiation losses (3%). To account for the voltage regulator's safety margin, a voltage regulator protection factor of 0.85 is introduced to ensure that the voltage regulator's actual energy tolerance does not exceed 85% of its maximum tolerance. The voltage regulator's collaborative energy absorption quota is calculated by multiplying the theoretical energy by the protection factor, accurate to the nearest 0.1 microjoule, and is capped at a maximum of 38.25 microjoules (i.e., 45 × 0.85).The touchscreen protection circuit utilizes a cascaded discharge architecture to optimize the auxiliary discharge capacitors based on the TVS diode's initial load target and the regulator's coordinated energy absorption quota. First, the remaining unallocated electrostatic energy is calculated using the formula "Energy margin = total electrostatic energy × (1 - TVS dynamic load target ratio - regulator load ratio)." The bypass discharge subsystem consists of three capacitor arrays: Array 1 utilizes four 100 nanofarad high-voltage ceramic capacitors in parallel, Array 2 utilizes two 220 nanofarad medium-voltage tantalum capacitors in series, and then in parallel, and Array 3 utilizes a 470 nanofarad low-voltage polymer capacitor in series with a 0.1 ohm current-limiting resistor. Based on the remaining energy, an analog switch circuit dynamically adjusts the connection status of the three capacitor arrays: when the remaining energy is less than 10 microjoules, only array 1 is enabled; when the remaining energy is between 10 and 25 microjoules, arrays 1 and 2 are enabled; and when the remaining energy is greater than 25 microjoules, all three arrays are enabled. The actual energy distribution ratios for each array are 40% for array 1, 35% for array 2, and 25% for array 3. The bypass energy target is calculated from this. A three-channel collaborative controller specifically designed for touch screens is used to process the circuit coordination parameters for the TVS dynamic sharing target ratio, the voltage regulator collaborative energy absorption quota, and the bypass energy target. The collaborative controller's core circuit utilizes a high-speed hybrid digital-analog chip with a 50 MHz input system frequency. The controller receives three core parameters and generates four control signals: a TVS front-end impedance adjustment signal (8-bit accuracy), a voltage regulator feedback loop gain adjustment signal (6-bit accuracy), a bypass capacitor switching control signal (3-bit accuracy), and a system ground path selection signal (2-bit accuracy). The front-end current limiting resistor value is set based on the TVS dynamic sharing target ratio, ranging from 2.2 to 22 ohms in 0.1 ohm steps. The voltage regulator feedback loop response speed is adjusted based on the voltage regulator collaborative energy absorption quota by varying the loop compensation capacitor value, ranging from 10 to 100 pF. The switch state of the capacitor array is controlled according to the bypass discharge energy target, which is used to dynamically adjust the working state of the touch screen electrostatic protection circuit in real time.

[0090] Preferably, in step S4, performing active static absorption control according to the energy coordinated absorption strategy and performing touch screen static risk assessment includes:

[0091] Based on the energy coordinated absorption strategy, the TVS tube conduction timing and the regulator discharge path are precisely controlled, and the electrostatic energy is absorbed by the hardware in a coordinated manner.

[0092] Perform multi-point synchronous potential scanning on the touch screen to obtain real-time potential grid data on the screen surface;

[0093] The real-time potential grid data on the screen surface is analyzed by using the preset multi-level safety potential threshold to generate the characteristics of the local abnormally high potential area;

[0094] Based on the characteristics of the local abnormally high potential area, the touch screen area is located and active charge neutralization operation is performed to obtain the dynamic data of charge balance in each area;

[0095] The touch screen electrostatic risk assessment is performed based on the dynamic data of charge balance in each area to generate a comprehensive charge safety index for the screen.

[0096] In an embodiment of the present invention, the touchscreen electrostatic protection circuit uses a digital delay controller to precisely control the device's response timing, while precisely controlling the TVS diode's conduction timing and the voltage regulator's discharge path based on a coordinated energy absorption strategy. The controller uses a 25 nanosecond precision timing circuit to drive a front-end digital potentiometer (resistance range: 2.2 to 22 ohms, 128 levels of adjustment accuracy) to adjust the TVS diode's front-end impedance in real time, ensuring that the TVS diode's conduction timing strictly matches the target energy sharing ratio specified in the coordinated energy absorption strategy. Simultaneously, a high-speed comparator (with a response time of less than 8 nanoseconds) is triggered to monitor the voltage regulator input voltage change rate. When the change rate exceeds 0.25 volts / nanosecond, the comparator outputs a trigger signal to activate the voltage regulator's auxiliary discharge path. The discharge path consists of three parallel transistor arrays, which utilize a gate voltage step control technique to sequentially conduct at intervals of 20 nanoseconds, 45 nanoseconds, and 80 nanoseconds, respectively, creating a stepped discharge effect. The system dynamically monitors the TVS diode current (using a 0.05 ohm precision sampling resistor) and the regulator input current (using a Hall-effect sensor). Control parameters are fine-tuned based on the real-time current ratio to ensure that actual energy distribution adheres to the predetermined strategy. A 16×16 sensing electrode grid (256 detection points) is arranged on the touchscreen surface. Each electrode is made of silver nanowires with a diameter less than 5 microns and a transmittance exceeding 98%. Each detection point is connected to an analog switch array via an independent channel and continuously scanned by a high-speed multiplexer (switching time less than 50 nanoseconds). The detection circuit utilizes high-input impedance (greater than 1000 megohm) operational amplifiers to ensure that the measurement process does not affect the charge distribution on the screen surface. The sampling rate is 25 frames per second, with all 256 points sampled synchronously within a time interval of less than 1 microsecond. The potential data at each sampling point is digitized by a 16-bit analog-to-digital converter (resolution 0.01 volt), forming a 16×16 potential matrix. This matrix is ​​then expanded to a 64×64 grid using an interpolation algorithm to improve spatial resolution. A four-level potential safety threshold system is used to analyze real-time grid data on the screen surface for points exceeding warning thresholds using preset multi-level safety thresholds. These thresholds were determined through 500 hours of testing on 10 touch screens made of different materials under various environmental conditions (temperature 0 to 40 degrees Celsius, humidity 30% to 80%). The four thresholds are: Caution (±300 volts), Warning (±600 volts), Danger (±1200 volts), and Emergency (±2000 volts). The processor compares the 64×64 grid points in parallel, using a 2.5 GHz quad-core dedicated signal processor. Each core is responsible for threshold comparisons for a 16×64 grid. The comparison results generate four binary matrices, where a "1" indicates that the potential at that point exceeds the corresponding threshold, and a "0" indicates that it does not.Isolated noise points are filtered out using a morphological opening operation (using a 3×3 structuring element). A connected domain labeling algorithm is then used to identify clusters of adjacent super-threshold points. For each cluster, the center coordinates, area size, average potential, and maximum potential are recorded to form characteristic data for localized abnormally high potential regions. To localize touchscreen regions based on these characteristics, a centroid localization algorithm is used to determine the precise location of the abnormal region. The algorithm uses a 5×5 grid around the point with the maximum potential as the center and calculates the coordinates of the local weighted centroid. The weighting factors are proportional to the potential values ​​of each point. Localization accuracy is better than 1 mm, meeting the requirements for precise touchscreen area control. Active charge neutralization is achieved using secondary ion implantation technology. Eight ion injectors are located in the screen frame (distributed at the four corners and midpoints of the four sides). Each injector contains a positive and negative bipolar jet channel. Ion beams of corresponding polarity are selected based on the potential polarity of the abnormal region. The injection intensity is proportional to the measured potential, and the injection angle is precisely adjusted using a microelectromechanical system to ensure accurate coverage of the target area. During the neutralization process, the real-time potential monitoring circuit continuously samples at a frequency of 100 Hz, recording the potential change trends in each abnormal area and generating a potential-time curve. When the average potential of a region drops below ±50 V for one second, neutralization is considered complete, and the dynamic charge balance data for each region is updated. A multi-parameter comprehensive assessment model is used to assess the electrostatic risk of touch screens based on this dynamic charge balance data. First, the full-screen RMS potential is calculated using the formula "full-screen RMS = square root of (sum of squared potentials at each grid point / total number of grid points)" as the basic assessment parameter. Next, the local potential gradient is analyzed, using the Sobel operator to calculate the potential gradient at each point and determine the maximum gradient value and its location. Finally, the percentage of grid points exceeding each threshold is calculated to calculate a weighted risk score, with weights assigned as 0.2 for caution, 0.5 for warning, 1.2 for danger, and 2.5 for emergency. The screen's comprehensive charge safety index (CSI) is calculated by comprehensively considering the full-screen RMS value (weight 0.3), the maximum gradient value (weight 0.3), and the weighted risk score (weight 0.4). The score ranges from 0 to 100, with lower values ​​indicating higher safety. The safety index is divided into five ranges: extremely safe (0-20), safe (20-40), moderate (40-60), risky (60-80), and high risk (80-100). The assessment results are updated once per second and fed back to the main system via the touch screen control system status register.

[0097] It is particularly important to adjust the touch sensitivity parameters according to the screen's comprehensive charge safety index as follows:

[0098] Based on the comparison and analysis of the screen's comprehensive charge safety index and the preset touch performance impact threshold range, the degree of interference caused by the current screen static state on the touch is determined, and the estimated electrostatic interference level is obtained;

[0099] Get user touch behavior data;

[0100] Determine the user experience impact factor based on user touch behavior data and the estimated level of electrostatic interference, and generate a user experience impact factor;

[0101] Performing electrostatic level-sensitivity parameter mapping based on the estimated electrostatic interference level and a preset touch controller parameter list to generate a preliminary sensitivity adjustment strategy;

[0102] The initial sensitivity adjustment strategy is modified by weighting the touch sensitivity using the user experience influencing factors, and is safely loaded into the actual touch controller of the touch screen to generate touch sensitivity adjustment parameters.

[0103] In an embodiment of the present invention, a multi-segment threshold comparison circuit is used to compare and analyze the screen's comprehensive charge safety index against preset touch performance impact thresholds. The preset thresholds were determined by conducting 500 electrostatic induction tests on 20 touch screens of different sizes and materials in a standard laboratory environment (temperature 23±2°C, relative humidity 45±5%). These thresholds are divided into five ranges: slight impact (0-25), mild impact (25-45), moderate impact (45-65), severe impact (65-85), and extremely severe impact (85-100). The comparison and analysis circuit utilizes five sets of digital comparators for parallel processing, with each set responsible for determining a specific range. When the safety index falls within a certain range, the corresponding comparator outputs a high level, triggering the corresponding interference level flag. Electrostatic interference estimation is divided into five levels: Level 0 (slight impact), Level 1 (mild impact), Level 2 (moderate impact), Level 3 (severe impact), and Level 4 (extremely severe impact). When acquiring user touch behavior data, the touch screen control system activates high-resolution data acquisition mode. The touch event capture circuit operates at a 200Hz sampling frequency with 14-bit accuracy (spatial resolution of 0.05mm). Each touch event record includes the following data items: touch point coordinates (recording the absolute location of the touch point, accurate to the screen pixel), contact area (recording the actual area covered by the touch point, in square millimeters, with an accuracy of 0.1 square millimeter), pressure value (recording the touch pressure, divided into 256 levels), touch duration (recording the duration of each touch, in milliseconds), touch type (single click, double click, long press, slide, multi-touch, etc.), and touch trajectory (the motion path formed by consecutive touch points, with one coordinate point recorded every 5 milliseconds). The collected data is initially filtered by the hardware acceleration processing circuit to eliminate jitter points (repeated points with a spacing of less than 0.2mm and a time difference of less than 15 milliseconds between adjacent points). A multi-dimensional feature analysis method is used to determine factors affecting user experience based on user touch behavior data and the estimated level of electrostatic interference. First, key features of user touch behavior were extracted: touch frequency (number of touches per unit time, standard value: 40-120 touches / minute), average pressure value (typical range: 80-150, full scale: 255), touch accuracy (touch target offset distance, standard value: less than 1.2 mm), and multi-touch usage rate (percentage of total touch events). The user behavior adaptability assessment criteria for different levels of electrostatic interference were derived from statistical analysis of 1,000 users' interaction performance in different electrostatic environments. The calculation formula is: "Behavior Adaptation Coefficient = Touch Frequency Change Rate × 0.3 + Pressure Value Increase Rate × 0.3 + Accuracy Drift Rate × 0.25 + Multi-Touch Success Rate × 0.15." The behavioral adaptability coefficient was compared with the estimated electrostatic interference level to generate the final user experience impact factor, which is categorized into five levels: minimal impact (0.1), slight impact (0.4), significant impact (0.7), severe impact (1.0), and extremely severe impact (1.5).A preprogrammed lookup table is used to quickly map ESD levels to sensitivity parameters based on the estimated ESD level and a preset touch controller parameter list. This preset touch controller parameter list is measured by the touchscreen manufacturer using professional test equipment (electrostatic simulators and high-precision touch response analyzers) under various ESD environments and stored in the touchscreen controller's read-only memory. The parameter list contains five key parameter sets: touch recognition threshold (range: 10-45, in steps of 5), signal filtering strength (range: 1-5, 5 levels), touch response time (range: 5-20 milliseconds, in steps of 3 milliseconds), edge detection sensitivity (range: 30%-85%, in steps of 5%), and multi-point resolution (minimum resolution point distance, range: 3-12 mm). The mapping circuit uses the estimated ESD level as an address select signal to extract the complete parameter set for the corresponding level from the parameter list. After parameter extraction, a checksum circuit (using an 8-bit cyclic redundancy check) verifies data integrity, generating a preliminary sensitivity adjustment strategy data packet containing the five key parameters and storing it in a double-buffered strategy register bank. An adaptive parameter adjustment circuit is used to weight touch sensitivity corrections to the initial sensitivity adjustment strategy based on the user experience impact factor. This correction circuit first converts the user experience impact factor into adjustment coefficients for five parameters using the formula "Adjustment coefficient = baseline value × (1 - user experience impact factor × parameter sensitivity coefficient)." The parameter sensitivity coefficients are: touch recognition threshold 0.8, signal filtering strength 0.6, touch response time 0.7, edge detection sensitivity 0.9, and multi-point resolution 0.5. The adjusted parameters are processed by a limiter circuit to ensure that all parameters are within the hardware's safe range. The parameter loading circuit employs a dual protection mechanism: the adjustment parameters are first written to the touch controller's shadow register. After parameter validity verification (including range and consistency checks), an atomic write operation is triggered, synchronously updating all parameters within a single clock cycle to prevent touch anomalies caused by inconsistent parameters. After the update is complete, the parameter monitoring circuit continuously collects touch performance metrics, including touch recognition rate, false touch rate, and response delay statistics, to evaluate the effectiveness of the parameter adjustment in real time and provide feedback for the next round of adjustments. The touch sensitivity adjustment parameters finally generated serve as real-time working parameters of the touch screen controller and directly affect the response characteristics of the screen to touch input.

[0104] Preferably, the present invention further provides a touch screen static elimination system, which performs the touch screen static elimination method described above, and the touch screen static elimination system includes:

[0105] The touch operation acquisition module is used to sample real-time touch pressure distribution data of the touch screen, continuously track the touch position based on the real-time touch pressure distribution data, and generate touch trajectory sequence point data; and identify the user's high-frequency interaction screen area based on the touch trajectory sequence point data;

[0106] The electrostatic risk analysis module is used to assess the electrostatic accumulation risk of the current operation based on the touch trajectory sequence point data and the user's high-frequency interactive screen area, perform environmental parameter compensation, and generate a compensated electrostatic accumulation prediction value. It also synchronously samples the TVS tube transient voltage sequence and the regulator input disturbance data, and analyzes the response timing and energy sharing characteristics based on the TVS tube transient voltage sequence and the regulator input disturbance data to obtain the TVS regulator linkage response data.

[0107] The electrostatic energy coordination module is used to perform circuit coordination parameter processing on the predicted value of compensated electrostatic accumulation through the TVS regulator linkage response data to build an energy coordination absorption strategy;

[0108] The dynamic balance control module is used to actively absorb static electricity based on the energy coordinated absorption strategy, conduct touch screen static risk assessment, and generate a comprehensive screen charge safety index; touch sensitivity parameters are adjusted based on the comprehensive screen charge safety index to achieve coordinated elimination of accumulated static electricity on the touch screen surface and maintenance of dynamic balance.

[0109] Preferably, the present invention further provides a computer-readable storage medium storing a computer program, wherein when the computer program is executed, the static electricity elimination method for a touch screen as described above is implemented.

[0110] By collecting touch pressure distribution data in real time and continuously tracking its trajectory, the system can accurately identify areas of high-frequency user interaction, which are often hotspots for static electricity accumulation. Combined with an environmental parameter compensation mechanism, the system can more accurately assess static electricity risks in diverse operating environments, such as those prone to static electricity, such as low humidity and high temperatures. In particular, the coordinated response analysis of the TVS diode and the voltage regulator overcomes the limitations of traditional single-component protection, forming a multi-component collaborative energy-sharing network. This effectively avoids saturation of individual protection components when absorbing high-energy static electricity, improving overall absorption capacity and response speed. A comprehensive charge safety index enables adaptive adjustment of touch sensitivity, ensuring a smooth user experience while reducing false trigger rates. In high-static-current scenarios, the system intelligently reduces sensitivity parameters in specific areas to reduce false triggering; while maintaining high sensitivity when static-risk is low to enhance operational accuracy. This dynamic balance strategy ensures stable and reliable touchscreen operation in a variety of complex environments. From a long-term perspective, this solution significantly extends the service life of the touchscreen and its control IC, reducing equipment return rates and maintenance costs due to static electricity damage. It is particularly suitable for industrial touchscreen devices, medical equipment, or public service terminals that require long, continuous operation. This technology also reduces reliance on external auxiliary anti-static equipment (such as anti-static gloves and grounding devices), enhances the device's independent protection capabilities, and simplifies user operation. The coordinated protection mechanism of the TVS diode and voltage regulator significantly improves energy absorption efficiency, avoids saturation of a single component under high-energy electrostatic shocks, and expands the protection range and capabilities. The system dynamically adjusts touch sensitivity parameters based on real-time risk assessment, maintaining a dynamic balance of static electricity accumulation while ensuring a good touch experience, significantly reducing the risk of electrostatic breakdown. This dynamic balance not only improves the device's anti-interference capabilities but also extends the service life of the touchscreen and controller chip. By establishing a comprehensive screen charge safety index, it provides a quantitative assessment standard for the electrostatic state of the touchscreen surface, making protection measures more precise and controllable. Overall, this technology represents a technological advancement from single-point protection to system coordination, from passive response to active prevention, and from fixed parameters to dynamic adjustment. This significantly improves touchscreen reliability and user experience in complex environments, while also reducing device failure rates and repair costs caused by electrostatic discharge.

[0111] The present invention is therefore intended to be illustrative and non-restrictive in all respects, with the scope of the invention being defined by the appended claims rather than the foregoing description, and all changes that come within the meaning and range of equivalents of the application documents are intended to be embraced therein.

[0112] The foregoing description is intended only to provide specific embodiments of the present invention, which will enable those skilled in the art to understand and implement the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown herein, but is to be construed in the widest possible manner consistent with the principles and novel features disclosed herein.

Claims

1. A method for eliminating static electricity from a touch screen, characterized in that: The following steps are involved: Step S1: sampling real-time touch pressure distribution data of the touch screen, and continuously tracking the touch position according to the real-time touch pressure distribution data to generate touch trajectory sequence point data; identifying the user's high-frequency interaction screen area according to the touch trajectory sequence point data; Step S2: Evaluate the static electricity accumulation risk of the current operation based on the touch trajectory sequence point data and the user's high-frequency interactive screen area, perform environmental parameter compensation, and generate a compensated static electricity accumulation prediction value; Synchronously sampling the TVS tube transient voltage sequence and the disturbance data at the input end of the voltage regulator, and performing response timing and energy sharing characteristic analysis based on the TVS tube transient voltage sequence and the disturbance data at the input end of the voltage regulator to obtain TVS regulator linkage response data; wherein, synchronously sampling the TVS tube transient voltage sequence and the disturbance data at the input end of the voltage regulator, and performing response timing and energy sharing characteristic analysis based on the TVS tube transient voltage sequence and the disturbance data at the input end of the voltage regulator includes: Based on the real-time sampling of the current value flowing through the transient voltage suppression diode and the voltage value across it within a preset monitoring period, the transient voltage sequence of the TVS tube is obtained; Identify TVS tube avalanche breakdown or clamping action based on the TVS tube transient voltage sequence, extract the conduction start time, voltage peak reading, and conduction duration, and obtain the TVS tube conduction characteristic parameters. The TVS tube conduction characteristic parameters include the TVS conduction start time data, the measured TVS tube peak clamping voltage value, and the TVS tube conduction duration. The instantaneous voltage and current values ​​of the input port of the voltage regulator are periodically and synchronously sampled by using the TVS conduction start time data and the TVS conduction maintenance time in the TVS tube conduction characteristic parameters to obtain the disturbance data of the input port of the voltage regulator; Based on the disturbance data at the input of the voltage regulator and the conduction characteristic parameters of the TVS tube, the response timing and energy sharing characteristics of the TVS tube and the voltage regulator under electrostatic shock are analyzed to obtain the linkage response data of the TVS voltage regulator. Step S3: performing circuit cooperative adjustment parameter processing on the compensation electrostatic accumulation prediction value through the TVS regulator linkage response data to construct an energy coordinated absorption strategy; Step S4: Active static absorption control is performed according to the energy coordinated absorption strategy, and the touch screen static risk assessment is performed to generate a comprehensive screen charge safety index; touch sensitivity parameters are adjusted according to the comprehensive screen charge safety index to achieve coordinated elimination of accumulated static electricity on the touch screen surface and maintenance of dynamic balance.

2. The method for eliminating static electricity from a touch screen according to claim 1, wherein: Step S1 includes the following steps: Step S11: sampling the touch operation pressure intensity according to the pressure sensor array built into the touch screen to obtain real-time touch pressure distribution data; Step S12: Analyze valid touch events based on the real-time touch pressure distribution data. A valid touch event is determined when the pressure value is within the range of 20-2000 g / cm², the contact area is greater than 4 mm², the pressure duration exceeds 50 ms, and the pressure change rate is greater than 5 g / cm²·ms within 100 ms of the initial contact. Step S13: detecting the capacitance change characteristics between the contact object and the screen surface material through the real-time touch pressure distribution data based on the valid touch event state, and obtaining the capacitance characteristic value of the contact object; Step S14: identifying the contact object type based on the capacitance characteristic value of the contact object using a preset capacitance characteristic library to obtain a contact object category code; Step S15: Continuously tracking the touch position of the touch screen based on the contact material category code to generate touch trajectory sequence point data; Step S16: Analyze the user's high-frequency interaction area based on the touch trajectory sequence point data to obtain the user's high-frequency interaction screen area.

3. The method for eliminating static electricity on a touch screen according to claim 2, wherein: In step S2, the static electricity accumulation risk of the current operation is evaluated based on the touch trajectory sequence point data and the user's high-frequency interactive screen area, and environmental parameter compensation is performed, including: Analyze the touch parameters of sliding rate, friction charging, operation frequency and pressing time based on the touch trajectory sequence point data and contact object category code to generate real-time user touch parameters; Analyze the user's interactive behavior pattern in the user's high-frequency interactive screen area through the user's real-time touch parameters to obtain interactive behavior pattern data; Based on the interactive behavior pattern data, the user's real-time touch parameters are analyzed for electrostatic cumulative contribution, and the electrostatic contribution weight of each parameter is generated; The user's real-time touch parameters are weighted by the electrostatic contribution weight of each parameter to assess the static accumulation risk of the current operation and generate an instant static electricity generation potential value; Get the current touch screen environment temperature and humidity data; The instantaneous static electricity generation potential value is corrected and compensated by the current touch screen environment temperature and humidity data to obtain the compensated static electricity accumulation prediction value.

4. The method for eliminating static electricity from a touch screen according to claim 1, wherein: Identify TVS tube avalanche breakdown or clamping action based on the TVS tube transient voltage sequence, and extract the start time of conduction, voltage peak reading, and conduction duration, including: The TVS device's rated breakdown voltage is used to identify the precise data point where the voltage first exceeds the threshold in the TVS tube transient voltage sequence, thereby obtaining the TVS avalanche initial trigger point data. The threshold is the preset TVS device's rated breakdown voltage, which is in the range of 5.0V–7.0V. Based on the TVS avalanche initial trigger point data, the starting time when the TVS tube enters the avalanche or clamping state is calibrated to obtain the TVS conduction starting time data; The initial TVS avalanche trigger point data is used as the indication starting point, and subsequent voltage sampling values ​​in the TVS tube transient voltage sequence are continuously extracted until the voltage value falls below the preset TVS clamping end voltage threshold. This section is determined as the TVS conduction effective window, and the TVS conduction effective voltage segment is obtained. Among them, the TVS clamping end voltage threshold value range is 4.0V–5.5V; The maximum value search is performed within the TVS conduction effective voltage range with a time step of less than 10ns to generate the actual measured value of the TVS tube peak clamping voltage The end point of the TVS conduction effective voltage segment is calibrated as the TVS conduction cut-off time data; The time difference between the TVS conduction start time data and the TVS conduction end time data is calculated to obtain the TVS tube conduction maintenance time.

5. The method for eliminating static electricity from a touch screen according to claim 1, wherein: Based on the disturbance data at the input of the voltage regulator and the conduction characteristic parameters of the TVS tube, the response timing and energy sharing characteristics of the TVS tube and the voltage regulator under electrostatic shock are analyzed, including: The electrostatic energy integral calculation within the monitoring period is performed based on the measured value of the TVS tube peak clamping voltage and the TVS tube conduction maintenance time, and the cumulative value of the TVS cycle absorbed energy is obtained; Estimating transient energy based on disturbance data at the input of the regulator to generate transient impact energy at the front end of the regulator; Calculate the total electrostatic transient energy based on the accumulated energy absorbed by the TVS cycle and the transient impact energy of the regulator front end; The total transient energy of electrostatic discharge is processed by the accumulated energy absorbed by the TVS cycle to generate the actual energy sharing ratio of the TVS. Based on the ratio of TVS actual energy sharing ratio and total electrostatic transient energy, the energy sharing ratio of the voltage regulator is obtained; Based on the TVS conduction start time data and the time when the voltage in the regulator input disturbance data first significantly deviates from the normal value, the time point is extracted to obtain the initial value of the regulator's response delay relative to the TVS action; By analyzing the duration of the TVS tube conduction and the time it takes for the voltage at the regulator input to return to normal, we can identify the effective time window of the TVS tube and regulator during energy discharge, and obtain the synergistic window period of the TVS regulator. Based on the actual energy sharing ratio of TVS, the energy sharing ratio of regulator, the initial value of the response delay of regulator relative to TVS action and the synergistic window period of TVS regulator, the linkage response characteristics are structurally processed to obtain the TVS regulator linkage response data.

6. The method for eliminating static electricity from a touch screen according to claim 1, wherein: Step S3 includes the following steps: Step S31: performing electrostatic intensity quantification processing on the compensated electrostatic accumulation prediction value to obtain the current system electrostatic threat level; Step S32: Calculate the ideal initial energy absorption quota of the TVS tube under the current threat based on the current system electrostatic threat level through the TVS regulator linkage response data to obtain the TVS dynamic sharing target ratio; Step S33: Calculate the energy share that the voltage regulator needs to collaboratively bear according to the TVS dynamic sharing target ratio and the TVS voltage regulator linkage response data to obtain the voltage regulator collaborative absorption energy quota; Step S34: Optimizing the auxiliary discharge capacitor for the TVS tube initial sharing target value and the voltage regulator collaborative absorption energy quota to obtain a bypass discharge energy target; Step S35: performing circuit collaborative adjustment parameter processing on the TVS dynamic sharing target ratio, the voltage regulator collaborative absorption energy quota, and the bypass discharge energy target to construct an energy coordinated absorption strategy.

7. The method for eliminating static electricity from a touch screen according to claim 1, wherein: In step S4, active electrostatic absorption control is performed according to the energy coordinated absorption strategy, and the touch screen electrostatic risk assessment is performed, including: Based on the energy coordinated absorption strategy, the TVS tube conduction timing and the regulator discharge path are precisely controlled, and the electrostatic energy is absorbed by the hardware in a coordinated manner. Perform multi-point synchronous potential scanning on the touch screen to obtain real-time potential grid data on the screen surface; The real-time potential grid data on the screen surface is analyzed by using the preset multi-level safety potential threshold to generate the characteristics of the local abnormally high potential area; Based on the characteristics of the local abnormally high potential area, the touch screen area is located and active charge neutralization operation is performed to obtain the dynamic data of charge balance in each area; The touch screen electrostatic risk assessment is performed based on the dynamic data of charge balance in each area to generate a comprehensive charge safety index for the screen.

8. A touch screen static elimination system, characterized in that: For performing the static elimination method of the touch screen according to claim 1, the static elimination system of the touch screen comprises: The touch operation acquisition module is used to sample real-time touch pressure distribution data of the touch screen, continuously track the touch position based on the real-time touch pressure distribution data, and generate touch trajectory sequence point data; and identify the user's high-frequency interaction screen area based on the touch trajectory sequence point data; The electrostatic risk analysis module is used to assess the electrostatic accumulation risk of the current operation based on the touch trajectory sequence point data and the user's high-frequency interactive screen area, perform environmental parameter compensation, and generate a compensated electrostatic accumulation prediction value. It also synchronously samples the TVS tube transient voltage sequence and the regulator input disturbance data, and analyzes the response timing and energy sharing characteristics based on the TVS tube transient voltage sequence and the regulator input disturbance data to obtain the TVS regulator linkage response data. The electrostatic energy coordination module is used to perform circuit coordination parameter processing on the predicted value of compensated electrostatic accumulation through the TVS regulator linkage response data to build an energy coordination absorption strategy; The dynamic balance control module is used to actively absorb static electricity based on the energy coordinated absorption strategy, conduct touch screen static risk assessment, and generate a comprehensive screen charge safety index; touch sensitivity parameters are adjusted based on the comprehensive screen charge safety index to achieve coordinated elimination of accumulated static electricity on the touch screen surface and maintenance of dynamic balance.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed, the static electricity elimination method for a touch screen according to any one of claims 1 to 7 is implemented.

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