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CN-122018723-A - Capacitive touch screen anti-interference method and system based on multi-mode dynamic spectrum evolution and self-adaptive collaborative compensation

CN122018723ACN 122018723 ACN122018723 ACN 122018723ACN-122018723-A

Abstract

The invention provides a capacitive touch screen anti-interference method and system based on multi-mode dynamic map evolution and self-adaptive collaborative compensation. Belongs to the technical field of capacitive touch screen man-machine interaction anti-interference. The method comprises the steps of dividing the working environment of the capacitive touch screen into three-dimensional sensing areas of environment, equipment and signals to generate multi-mode sensing area data, deploying a multi-sensor according to the multi-mode sensing area data to construct a multi-mode sensing network, judging intelligent triggering learning conditions according to the multi-mode sensing network, starting a learning process, collecting multi-dimensional interference signals with wide frequency bands in the learning process to obtain an original interference signal data set, accurately identifying and dynamically adapting to various interference sources in a complex electromagnetic environment through a multi-mode dynamic map evolution and self-adaptive collaborative compensation technology, and remarkably improving the interference sensing capacity and compensation accuracy of the capacitive touch screen, wherein the interference suppression rate is improved to be more than 98%.

Inventors

  • XU LIMAN
  • YUAN YIYONG

Assignees

  • 广东视安通实业有限公司

Dates

Publication Date
20260512
Application Date
20260202

Claims (10)

  1. 1. The capacitive touch screen anti-interference method based on multi-mode dynamic spectrum evolution and self-adaptive collaborative compensation is characterized by comprising the following steps of: S1, dividing the working environment of the capacitive touch screen into three-dimensional sensing areas of environment, equipment and signals to generate multi-mode sensing area data; S2, judging intelligent triggering learning conditions according to the multi-mode sensing network, and starting a learning process; S3, carrying out outlier rejection and data reconstruction processing on the original interference signal data set to generate optimized interference signal data; S4, in a touch detection stage, collecting current environment parameters, equipment state parameters and touch area parameters in real time, performing intelligent spectrum matching through weighted cosine similarity and a scene priority algorithm, and positioning an optimal interference characteristic spectrum; S5, according to the matched optimal interference characteristic spectrum or temporary spectrum, adopting an amplitude, phase, frequency and time domain four-dimensional collaborative compensation model to carry out multi-dimensional collaborative compensation calculation of dynamic weight adjustment on the real-time capacitance data to generate compensated capacitance data; S6, performing touch point coordinate fitting and error correction processing based on optimized touch signal data to generate high-precision touch point data, outputting touch point confidence, adjusting a terminal system response strategy according to the confidence, and adding a system state monitoring mechanism to monitor performance indexes in real time.
  2. 2. The capacitive touch screen anti-interference method based on multi-mode dynamic spectrum evolution and self-adaptive collaborative compensation according to claim 1, wherein the S1 comprises: S11, defining three-dimensional sensing areas of the environment, equipment and signals according to the spatial characteristics and interference propagation paths of the working environment of the capacitive touch screen, defining sensing key points and coverage areas of the areas, and generating multi-mode sensing area data; S12, based on multi-mode sensing region data, disposing a motion sensing component, an environment sensing component and a device state sensing component in a corresponding region; and S13, connecting all deployed sensing components, realizing data intercommunication of the components through a high-speed data transmission link, integrating sensing resources and constructing a multi-mode sensing network.
  3. 3. The capacitive touch screen anti-interference method based on multi-mode dynamic spectrum evolution and self-adaptive collaborative compensation according to claim 1, wherein the step S2 comprises: s21, setting a basic trigger rule, a multi-mode verification rule, an event trigger rule and a user trigger rule; S22, the multi-mode sensing network collects relevant data in real time, and checks whether all conditions are met one by one according to a preset trigger rule; S23, after the triggering condition reaches the standard, starting a learning process, and synchronously activating a wide-band signal acquisition module to determine an acquisition frequency band range and a data dimension; S24, covering five frequency bands of ultra-low frequency, intermediate frequency, high frequency and ultra-high frequency according to a set wide frequency band range, selecting characteristic frequency points in each frequency band, collecting amplitude, phase, frequency response and time domain waveform data of a capacitance channel and a mutual capacitance channel, and collecting to form an original interference signal data set.
  4. 4. The capacitive touch screen anti-interference method based on multi-mode dynamic spectrum evolution and self-adaptive collaborative compensation according to claim 1, wherein the step S3 comprises: S31, identifying and eliminating abnormal values in an original interference signal data set by adopting a 3σ+ isolated forest mixing algorithm, and eliminating the influence of electrode noise and environmental burst interference; S32, aiming at the missing data points with abnormal values removed, performing data reconstruction by combining the Kriging interpolation with a radial basis function to generate optimized interference signal data; s33, performing wavelet packet transformation on the optimized interference signal data, extracting time-frequency domain features and enriching signal feature dimensions; S34, constructing an amplitude spectrum, a phase spectrum, a frequency response spectrum and a time domain waveform spectrum based on the optimized interference signal data and the enhanced characteristic information, and recording interference basic characteristics under different frequency bands; s35, combining the interference characteristics of different application scenes, constructing dedicated scene sub-patterns of each scene on the basis of the basic characteristic patterns to form a five-dimensional dynamic interference characteristic pattern set, and embedding incremental update identifiers and aging elimination judgment standards in the pattern set.
  5. 5. The capacitive touch screen anti-interference method based on multi-mode dynamic spectrum evolution and self-adaptive collaborative compensation according to claim 1, wherein the step S4 comprises: S41, synchronously acquiring the temperature and humidity, the electromagnetic radiation intensity, the power supply voltage and the communication state of equipment and the real-time operation parameters of a touch area of the current environment through a multi-mode sensing network in a touch detection stage; S42, inputting real-time operation parameters into a weighted cosine similarity and scene priority algorithm, calling a five-dimensional dynamic interference characteristic map set to carry out matching operation, and screening an interference characteristic map with highest degree of agreement with the current state; S43, checking a matching operation result, directly determining an optimal interference characteristic spectrum with the standard of the fit degree as a compensation basis if the optimal interference characteristic spectrum is present, and starting a temporary spectrum generation flow if the matching spectrum is not found; S44, adjacent frequency band patterns in the pattern set and corresponding scene sub-patterns are called, data fusion and feature completion are carried out through a generated type countermeasure network lightweight model, and a temporary pattern is generated.
  6. 6. The capacitive touch screen anti-interference method based on multi-modal dynamic spectrum evolution and adaptive collaborative compensation according to claim 5, wherein S42 includes: Classifying and integrating the acquired real-time operation parameters, and combing the data arrangement sequence according to a preset format to generate a regularized parameter set; Distributing corresponding weight coefficients for each parameter in the regularized parameter set according to the influence degree of different parameters on interference characteristic matching to form a weight configuration table, starting a data reading function of the intelligent storage module, and calling a stored five-dimensional dynamic interference characteristic map set; Substituting the regularization parameter set and the weight configuration table into a weighted cosine similarity algorithm, comparing each item of map data in the five-dimensional dynamic interference characteristic map set one by one, calculating the fitness value of each item of map and the current state, and generating a preliminary matching result set; based on the application scene of the current equipment, setting priorities of sub-maps of the corresponding scenes, comprehensively sequencing the coincidence degree value of the preliminary matching result set deed of mortgage and the scene priorities, and generating a sequenced matching list; And extracting the map with the highest matching degree value from the ordered matching list to be used as the interference characteristic map with the highest matching degree with the current state, and finishing the screening process.
  7. 7. The capacitive touch screen anti-interference method based on multi-mode dynamic spectrum evolution and adaptive collaborative compensation according to claim 1, wherein the step S5 comprises: S51, adjusting the amplitude, the phase, the frequency, the dynamic weight corresponding to the time domain, the temperature and humidity compensation coefficient, the frequency adaptation coefficient, the voltage compensation coefficient and the time domain characteristic coefficient according to the current interference intensity, the temperature and humidity condition, the frequency characteristic and the time domain characteristic; S52, substituting the characteristic data of the optimal interference characteristic map or the temporary map and the determined compensation parameters into an amplitude, phase, frequency and time domain four-dimensional collaborative compensation model, and calculating the real-time capacitance data to generate compensated capacitance data; S53, adjusting the enhancement radius according to the interference intensity of the edge area by adopting a dynamic radius Laplacian operator; S54, enabling self-adaptive bilateral filtering, switching a filtering core according to the type of residual noise, and retaining detailed information of a touch signal while effectively suppressing noise; s55, referring to the dynamic range spectrum in the dynamic interference characteristic spectrum set and the current real-time interference intensity, adjusting a touch detection threshold value, and generating optimized touch signal data.
  8. 8. The capacitive touch screen anti-interference method based on multi-modal dynamic spectrum evolution and adaptive collaborative compensation according to claim 7, wherein S55 includes: the method comprises the steps of intensively calling signal fluctuation parameters and frequency band characteristic data of a dynamic range map from a dynamic interference characteristic map, synchronously collecting quantized values of current real-time interference intensity, and integrating to form a threshold adjustment reference data set; Comparing the signal change interval of the dynamic range map in the reference data set with the real-time interference intensity value, combing the fluctuation trend of the signal dynamic range under different interference intensities, and determining the association logic of the signal change interval and the real-time interference intensity value; Based on the association rule and a preset threshold basic range, an initial threshold interval capable of covering the interference fluctuation range is defined by combining the signal fluctuation characteristics of the current interference environment, and a basis is provided for accurate adjustment; According to the level difference of the real-time interference intensity, the threshold value is finely adjusted in an initial threshold value interval, the threshold value is moderately increased when the interference intensity is increased, the threshold value is reasonably reduced when the interference intensity is reduced, and a target threshold value which is adapted to the current environment is determined; applying a target threshold to the capacitance data subjected to edge enhancement and noise suppression, detecting the effective recognition rate and false triggering generation rate of the touch signal, and judging whether the threshold can accurately distinguish the touch signal from the interference signal; If the threshold adaptation effect meets the requirement, directly fusing the target threshold with the processed capacitance data to generate optimized touch signal data, and if the adaptation effect is poor, returning to re-fine tuning the threshold until the adaptation requirement is met.
  9. 9. The capacitive touch screen anti-interference method based on multi-mode dynamic spectrum evolution and adaptive collaborative compensation according to claim 1, wherein the step S6 comprises: s61, inputting optimized touch signal data into a lightweight neural network, and performing accurate fitting of touch point coordinates to generate preliminary touch point data; S62, combining the historical touch data with the scene sub-map, and carrying out secondary correction on the conditions in the primary touch point data to generate high-precision touch point data; S63, calculating and outputting the confidence coefficient of each touch point, executing different response strategies by the terminal system according to the confidence coefficient difference, activating a newly-added system state monitoring mechanism, and monitoring key performance indexes in real time; S64, carrying out comprehensive evaluation on the monitored performance indexes at regular intervals, and judging whether each index meets a preset standard; S65, according to the performance evaluation result, if the index does not reach the standard, parameter optimization is automatically triggered, if the index is in a non-touch period, low-power consumption adjustment is executed, if abnormal conditions are detected, fault diagnosis is started, and self-optimized system running state data are generated.
  10. 10. A system for implementing the capacitive touch screen anti-interference method based on multi-modal dynamic profile evolution and adaptive collaborative compensation according to claim 1, the system comprising: The network construction module is used for dividing the working environment of the capacitive touch screen into three-dimensional sensing areas of environment, equipment and signals to generate multi-mode sensing area data; The condition judgment module is used for carrying out intelligent triggering learning condition judgment according to the multi-mode sensing network and starting a learning process; the data reconstruction module is used for carrying out outlier rejection and data reconstruction processing on the original interference signal data set to generate optimized interference signal data; The pattern matching module is used for acquiring current environment parameters, equipment state parameters and touch area parameters in real time in a touch detection stage, performing intelligent pattern matching through weighted cosine similarity and a scene priority algorithm, and positioning an optimal interference characteristic pattern; The optimization processing module is used for carrying out multi-dimensional collaborative compensation calculation of dynamic weight adjustment on the real-time capacitance data by adopting an amplitude, phase, frequency and time domain four-dimensional collaborative compensation model according to the matched optimal interference characteristic spectrum or temporary spectrum to generate compensated capacitance data; The condition monitoring module is used for carrying out coordinate fitting and error correction processing on touch points based on optimized touch signal data to generate high-precision touch point data, outputting the confidence coefficient of the touch points, adjusting a response strategy of a terminal system according to the confidence coefficient, and adding a system state monitoring mechanism to monitor performance indexes in real time.

Description

Capacitive touch screen anti-interference method and system based on multi-mode dynamic spectrum evolution and self-adaptive collaborative compensation Technical Field The invention provides a capacitive touch screen anti-interference method and system based on multi-mode dynamic map evolution and self-adaptive collaborative compensation, and belongs to the technical field of capacitive touch screen man-machine interaction anti-interference. Background Capacitive touch screens have become the mainstream man-machine interaction mode because of advantages such as no mechanical abrasion, visual operation and the like, but the capacitive sensing principle is extremely sensitive to electromagnetic interference. The current typical interference source presents the characteristics of multiple sources, complexity and transience, namely power supply type interference, newly added GaN fast-charging high-frequency switching noise (2 MHz-5 MHz), common mode interference of a vehicle-mounted high-voltage distribution system, multi-channel driving signal crosstalk of display driving interference to Mini/MicroLED screen, wireless communication interference covering terahertz signal leakage of a 6G prototype machine, burst pulse of vehicle-scale V2X communication, environment coupling interference, strong electromagnetic radiation of newly added medical radio frequency ablation equipment and electromagnetic radiation of industrial laser equipment. The existing anti-interference technology has three major core short plates, namely a hardware filtering scheme adopts a fixed topological structure, so that wide-frequency-band interference cannot be handled, for example, the interference suppression effect of a SAW filter on more than 2MHz is suddenly reduced, a software algorithm depends on a static noise model, the adaptability to time-varying and non-stationary interference (such as transient interference of starting and stopping of a vehicle-mounted motor) is insufficient, the error of Kalman filtering is amplified by more than 3 times when the interference is suddenly changed, and the interference compensation and touch detection have 'time sequence disconnection', so that the traditional baseline tracking algorithm needs to recover more than 300ms after the interference is suddenly changed, and the real-time performance requirements (less than or equal to 50 ms) of a far-overtaking vehicle-mounted medical scene are met. Therefore, a full-link anti-interference technology system of active sensing-dynamic modeling-real-time compensation is constructed by breaking through a passive filtering paradigm. Disclosure of Invention The invention provides a capacitive touch screen anti-interference method and system based on multi-mode dynamic spectrum evolution and self-adaptive collaborative compensation, which are used for solving the problems mentioned in the background art: the invention provides a capacitive touch screen anti-interference method based on multi-mode dynamic spectrum evolution and self-adaptive collaborative compensation, which comprises the following steps: S1, dividing the working environment of the capacitive touch screen into three-dimensional sensing areas of environment, equipment and signals to generate multi-mode sensing area data; S2, judging intelligent triggering learning conditions according to the multi-mode sensing network, and starting a learning process; S3, carrying out outlier rejection and data reconstruction processing on the original interference signal data set to generate optimized interference signal data; S4, in a touch detection stage, collecting current environment parameters, equipment state parameters and touch area parameters in real time, performing intelligent spectrum matching through weighted cosine similarity and a scene priority algorithm, and positioning an optimal interference characteristic spectrum; S5, according to the matched optimal interference characteristic spectrum or temporary spectrum, adopting an amplitude, phase, frequency and time domain four-dimensional collaborative compensation model to carry out multi-dimensional collaborative compensation calculation of dynamic weight adjustment on the real-time capacitance data to generate compensated capacitance data; S6, performing touch point coordinate fitting and error correction processing based on optimized touch signal data to generate high-precision touch point data, outputting touch point confidence, adjusting a terminal system response strategy according to the confidence, and adding a system state monitoring mechanism to monitor performance indexes in real time. The invention provides a system for realizing the capacitive touch screen anti-interference method based on multi-mode dynamic spectrum evolution and self-adaptive collaborative compensation, which comprises the following steps: The network construction module is used for dividing the working environment of the capacitive touch screen into three-dimens