Capacitive touch control IC and TDDI integrated touch control display IC waterproof algorithm

Abstract

The invention provides a waterproof algorithm for a capacitive touch control IC and a TDDI integrated touch control display IC, and relates to the technical field of IC waterproofness, the waterproof algorithm can significantly improve the anti-interference capability of the touch control IC in a humid or water environment, effectively avoid the mistaken touch phenomenon caused by liquid contact, greatly improve the reliability and stability of touch control equipment, and improve the waterproof performance of the touch control IC and the TDDI integrated touch control display IC. Misoperation caused by mistaken touch of a user is reduced, and normal use of equipment is guaranteed; according to the method, an algorithm library and a multiple judgment mechanism are improved, and the algorithm has high adaptability and can cope with different types of liquid and various complex touch scenes, so that smoother and more accurate touch interaction experience is provided for a user; compared with a traditional method which only depends on hardware for water prevention, the method has the advantages that a more flexible and efficient solution is provided from the software level, large-scale modification of a hardware structure is not needed, the research, development and production cost of the product is reduced, the cost performance of the product is improved, and the competitiveness of the product in the market is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of IC waterproofing, and more specifically, to a waterproofing algorithm for capacitive touch ICs and TDDI integrated touch display ICs. Background Art

[0002] In current touch devices, self-capacitive touch ICs, mutual-capacitive touch ICs, self-mutual integrated touch ICs, and TDDI integrated touch display ICs are widely used. However, when a touch device comes into contact with water or other liquids, problems such as false touches, insensitive touch, or even inability to work properly often occur; traditional waterproof measures mainly focus on hardware-level protection, such as adding waterproof coatings and sealing structures, but the effect of solving the problem of touch signal interference caused by liquid contact is limited; currently, there is a lack of a technical solution that can effectively identify and eliminate liquid interference at the algorithm level to ensure that the touch IC accurately responds to finger touch operations in humid or water environments. Therefore, we have made improvements in this regard and proposed a waterproofing algorithm for capacitive touch ICs and TDDI integrated touch display ICs. Summary of the Invention

[0003] The purpose of the present invention is to address the current lack of a technical solution that can effectively identify and eliminate liquid interference at the algorithm level.

[0004] To achieve the above-mentioned invention purpose, the present invention provides a waterproofing algorithm for capacitive touch ICs and TDDI integrated touch display ICs to improve the above problems.

[0005] Specifically, this application is as follows: A waterproofing algorithm for capacitive touch ICs and TDDI integrated touch display ICs, comprising: Data acquisition and feature extraction step: Using the sensing electrodes of the touch IC to continuously collect capacitance data of the touch area, analyze the change in the electric field distribution in the touch area to extract the morphological features of the touch object, and measure the coupling capacitance between the sensing electrode and the touch object; Algorithm library improvement step: Collect a large amount of data on finger touches and liquid contacts in different situations, calculate parameters related to capacitance, morphology, and coupling capacitance; use the clustering algorithm in machine learning to determine the clustering centers of various parameters and store them in the algorithm library; Multiple determination step: When the touch IC detects a touch signal, sequentially analyze and judge the capacitance change rate, morphological parameters, and coupling capacitance, and determine whether it is a finger touch or a liquid interference signal based on the judgment results.

[0006] As a preferred technical solution of this application, in the data acquisition and feature extraction step: When a finger touches, the function of the capacitance changing with time is (C_f(t)), which shows a pulsed change, and the change rate (v_f=\frac{dC_f(t)}{dt}) has large fluctuations in a short time; when a liquid contacts, the capacitance change function is ((C_l(t)), which changes relatively gently, and the change rate (v_l=\frac{dC_l(t)}{dt}) is relatively stable and small.

[0007] As a preferred technical solution of this application, in the data acquisition and feature extraction step: the contour feature description method is adopted. Let the perimeter of the finger touch area contour be (P_f) and the area be (A_f), then the morphological parameter (M_f=\frac{P_f^2}{A_f}), and its value fluctuates within a certain range and is relatively stable.

[0008] As a preferred technical solution of this application, for the liquid contact area, the perimeter (P_l) and the area (A_l) change continuously with time, and the morphological parameter (M_l=\frac{P_l^2}{A_l}) changes relatively disorderly and continuously increases.

[0009] As a preferred technical solution of this application, in the data acquisition and feature extraction step: When a finger touches, the coupling capacitance (C_{cf}(t)) changes specifically with the finger movement. When pressing, (C_{cf}(t)) increases. Suppose its change is related to the finger pressure (F) and satisfies (C_{cf}(t)=k_1F+b_1), where (k_1) and (b_1) are constants; the coupling capacitance (C_{cl}(t)) between the liquid and the induction electrode changes relatively smoothly and does not produce obvious changes related to the touch action over time.

[0010] As a preferred technical solution of this application, in the algorithm library improvement step: The clustering algorithm in machine learning is used. The (v) values of all samples are taken as data points, and they are divided into two categories, namely finger touch category and liquid contact category, by the clustering algorithm to determine the clustering centers (C_{v_f}) and (C_{v_l}) of the two categories of data; similarly, clustering analysis is performed on the morphological parameters and coupling capacitance parameters to obtain the corresponding clustering centers (C_{M_f}), (C_{M_l}), (C_{C_{cf}}), (C_{C_{cl}}), and these clustering centers and related parameter ranges are stored in the algorithm library as the basis for subsequent determination.

[0011] As a preferred technical solution of this application, in the multiple determination step: When the touch IC detects a touch signal, it first calculates the current rate of change of capacitance (\(v = \frac{dC(t)}{dt}\)); if (\(|v - C_{v_l}| < \epsilon_1\)), where \(\epsilon_1\) is the threshold for determining the rate of change of capacitance, it enters the morphological feature analysis; Calculate the morphological parameter of the current touch area (\(M=\frac{P^2}{A}\)), if (\(|M - C_{M_l}| < \epsilon_2\)), where \(\epsilon_2\) is the threshold for determining the morphological parameter, then analyze the coupling capacitance (\(C_c(t)\)); if \(C_c(t)\) changes smoothly and conforms to the characteristics of \(C_{C_{cl}}\), the algorithm determines that the signal is a liquid interference signal and does not trigger a touch operation response.

[0012] As a preferred technical solution of the present application, in the multiple determination step: If (\(|v - C_{v_f}| < \epsilon_1\)), then analyze the morphological parameter (\(M\)); If (\(|M - C_{M_f}| < \epsilon_2\)), then check the coupling capacitance (\(C_c(t)\)); If \(C_c(t)\) changes in accordance with the laws related to finger movements; When all of the above three aspects are satisfied, the algorithm determines it as a real finger touch operation and passes the touch event to the subsequent system processing module.

[0013] As a preferred technical solution of the present application, it further includes a data update step: During the use of the device, continuously collect new finger touch and liquid contact data, regularly analyze and process these new data. If it is found that the new data features are significantly different from the existing data in the algorithm library, then re - analyze all the data using the clustering algorithm.

[0014] As a preferred technical solution of the present application, in the data acquisition and feature extraction step, it further includes collecting the temperature data of the touch area: When a finger touches, due to the influence of the human body temperature, the temperature of the touch area will rise by a certain amount in a short time. Let the temperature change function caused by finger touch be \(T_f(t)\); when there is liquid contact, the temperature change function of the touch area is \(T_l(t)\). If the difference between the liquid temperature and the ambient temperature is small, the temperature change is relatively not obvious, and the collected temperature data is used as an additional feature.

[0015] Compared with the prior art, the beneficial effects of the present invention: In the solution of the present application: 1. The waterproof algorithm of the present invention can significantly improve the anti-interference ability of the touch IC in humid or water environments, effectively avoid false touch phenomena caused by liquid contact, greatly enhance the reliability and stability of touch devices, reduce operation errors caused by false touch of users, and ensure the normal use of the devices; 2. By improving the algorithm library and multiple determination mechanisms, this algorithm has strong adaptability, can handle different types of liquids and various complex touch scenarios, and provides users with a smoother and more accurate touch interaction experience; 3. Compared with the traditional method that only relies on hardware waterproofing, this application provides a more flexible and efficient solution from the software level, and there is no need for large-scale modification of the hardware structure, reducing the R & D and production costs of the product, improving the cost performance of the product, and enhancing the competitiveness of the product in the market. Description of the Drawings

[0016] Figure 1 It is a schematic diagram of the waterproof algorithm of the capacitive touch IC and the TDDI integrated touch display IC provided by this application. Detailed Embodiments

[0017] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0018] It should be noted that, without conflict, the embodiments and the features and technical solutions in the embodiments of the present invention can be combined with each other.

[0019] It should be noted that similar reference numerals and letters indicate similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0020] Example 1, please refer to Figure 1 , the waterproof algorithm of the capacitive touch IC and the TDDI integrated touch display IC, includes: Data acquisition and feature extraction steps: Use the sensing electrodes of the touch IC to collect the capacitance data of the touch area in real time, analyze the change in the electric field distribution of the touch area to extract the morphological features of the touch object, and measure the coupling capacitance between the sensing electrode and the touch object; Information in different dimensions such as capacitance data, morphological features, and coupling capacitance complement each other, reflecting the characteristics of touch from multiple angles. For example, different touch objects (fingers or liquids) will exhibit different characteristics in these aspects. By collecting and extracting this information, the touch situation can be analyzed and judged more accurately; Algorithm library improvement steps: Collect a large amount of data on finger touches and liquid contacts under different conditions, and calculate the parameters related to capacitance, morphology, and coupling capacitance; Use the clustering algorithm in machine learning to determine the clustering centers of various parameters and store them in the algorithm library; For example, for (n) finger touch samples, obtain the capacitance change rate set ({v_{f1},v_{f2},\cdots,v_{fn}}), the morphological parameter set ({M_{f1},M_{f2},\cdots,M_{fn}}), and the coupling capacitance change parameter set (classified according to different actions) ({C_{cf1}(t),C_{cf2}(t),\cdots,C_{cfn}(t)}). For (m) liquid contact samples, obtain the corresponding sets ({v_{l1},v_{l2},\cdots,v_{lm}}), ({M_{l1},M_{l2},\cdots,M_{lm}}), ({C_{cl1}(t),C_{cl2}(t),\cdots,C_{clm}(t)}); By collecting a large amount of data under different conditions, more actual scenarios can be covered, making the algorithm library more general. Using the clustering algorithm to determine the clustering centers can effectively distinguish and classify the data of finger touches and liquid contacts. In subsequent judgments, the touch situation can be accurately determined based on these clustering centers and the relevant parameter ranges; Multiple judgment steps: When the touch IC detects a touch signal, analyze and judge the capacitance change rate, morphological parameters, and coupling capacitance in sequence, and determine whether it is a finger touch or a liquid interference signal based on the judgment results; A single feature may be uncertain and prone to misjudgment. The multiple judgment steps conduct comprehensive analysis from multiple aspects such as capacitance change rate, morphological parameters, and coupling capacitance. Each aspect can provide different information, which corroborates and complements each other, making the judgment result more accurate and reliable. For example, even if the capacitance change rates are similar, the characteristics of morphological parameters and coupling capacitance may be different. Through comprehensive judgment, the touch situation can be identified more accurately.

[0021] Furthermore, in the data acquisition and feature extraction steps: When a finger touches, the capacitance change function with respect to time is \(C_f(t)\), which shows a pulsed change. The change rate \(v_f = \frac{dC_f(t)}{dt}\) fluctuates greatly within a short period of time. When a liquid comes into contact, the capacitance change function is \(C_l(t)\), which changes relatively smoothly. The change rate \(v_l=\frac{dC_l(t)}{dt}\) is relatively stable and small. This difference is caused by the different physical properties of the finger and the liquid. When a finger touches, the movement is relatively rapid and forceful, which will cause a rapid change in capacitance. While the liquid contact is relatively gentle, and the capacitance change is also relatively stable. By clarifying this difference, in actual judgment, the characteristics of the capacitance change rate can be used to preliminarily distinguish between finger touch and liquid interference.

[0022] Furthermore, in the data acquisition and feature extraction steps: The contour feature description method is adopted. Let the perimeter of the finger touch area contour be \(P_f\) and the area be \(A_f\), then the morphological parameter \(M_f=\frac{P_f^2}{A_f}\), whose value fluctuates within a certain range and is relatively stable. When a finger touches, the shape of the touch area is relatively fixed, so the morphological parameter is relatively stable. While the liquid is fluid, the perimeter and area of its contact area will change continuously, resulting in disordered and continuously increasing changes in the morphological parameter. Through this quantitative morphological parameter description, in actual judgment, it is possible to more accurately identify whether it is a finger touch or liquid interference. Furthermore, for the liquid contact area, the perimeter \(P_l\) and area \(A_l\) change continuously with time, and the morphological parameter \(M_l=\frac{P_l^2}{A_l}\) changes relatively disorderly and continuously increases. When a finger touches, the shape of the touch area is relatively fixed, so the morphological parameter is relatively stable. While the liquid is fluid, the perimeter and area of its contact area will change continuously, resulting in disordered and continuously increasing changes in the morphological parameter. Through this quantitative morphological parameter description, in actual judgment, it is possible to more accurately identify whether it is a finger touch or liquid interference.

[0023] Furthermore, in the data acquisition and feature extraction steps: When a finger touches, the coupling capacitance \(C_{cf}(t)\) changes specifically with the finger movement. When pressing, \(C_{cf}(t)\) increases. Let its change be related to the finger pressure \(F\), satisfying \(C_{cf}(t)=k_1F + b_1\), where \(k_1\) and \(b_1\) are constants. The coupling capacitance \(C_{cl}(t)\) between the liquid and the induction electrode changes relatively smoothly and does not produce obvious changes related to the touch movement over time. When a finger touches, pressure is applied, and the change in pressure will cause a corresponding change in the coupling capacitance. While the contact between the liquid and the induction electrode is relatively stable and will not produce obvious coupling capacitance changes related to the movement like the finger. By clarifying this difference, in multiple judgments, the touch situation can be more accurately identified.

[0024] Further, in the algorithm library improvement step: Apply the clustering algorithm in machine learning, such as the (K-means) algorithm. Taking the capacitance change rate as an example, use the (v) values of all samples as data points, and divide them into two categories: finger touch and liquid contact by the clustering algorithm. Determine the clustering centers (C_{v_f}) and (C_{v_l}) of the two categories of data; similarly, conduct clustering analysis on the morphological parameters and coupling capacitance parameters to obtain the corresponding clustering centers (C_{M_f}), (C_{M_l}), (C_{C_{cf}}), and (C_{C_{cl}}). Store these clustering centers and relevant parameter ranges in the algorithm library as the basis for subsequent determination; the clustering algorithm can automatically gather similar data points together, distinguish the data of finger touch and liquid contact. After determining the clustering centers, when making subsequent determinations, the currently collected data can be directly compared with the clustering centers to quickly determine whether it is a finger touch or a liquid interference signal, reducing the complexity of the determination and improving the accuracy of the determination. In the (K-means) algorithm, the value of K represents the number of final clustering categories. In this algorithm, the value of K is set to 2, corresponding to the finger touch category and the liquid contact category respectively. The common methods for determining the value of K can adopt the elbow method and the silhouette coefficient method.

[0025] Further, in the multiple determination step: When the touch IC detects a touch signal, first calculate the current capacitance change rate (v = \frac{dC(t)}{dt}); if (|v - C_{v_l}| < \epsilon_1), where \(\epsilon_1\) is the capacitance change rate determination threshold, then enter the morphological feature analysis. Calculate the morphological parameter of the current touch area (M = \frac{P^2}{A}). If (|M - C_{M_l}| < \epsilon_2), where \(\epsilon_2\) is the morphological parameter determination threshold, then analyze the coupling capacitance (C_c(t)); if the change of C_c(t) is stable and conforms to the characteristics of (C_{C_{cl}}), the algorithm determines that this signal is a liquid interference signal and does not trigger a touch operation response; this step-by-step judgment method comprehensively considers multiple factors such as capacitance change rate, morphological parameters, and coupling capacitance. Only when all these factors conform to the characteristics of liquid contact, it is determined as a liquid interference signal, greatly reducing the possibility of misjudgment and ensuring that the device will not make a wrong response to the liquid interference signal.

[0026] Further, in the multiple determination step: If (|v - C_{v_f}| < \epsilon_1), then analyze the morphological parameter (M). If (|M - C_{M_f}| < \epsilon_2), then check the coupling capacitor (C_c(t)); If the change of (C_c(t)) conforms to the law related to finger movement, for example, when pressing, (C_c(t)) satisfies the law such as (C_c(t) = k_1F + b_1) and conforms to the characteristics of (C_{C_{cf}}); When all the above three aspects are satisfied, the algorithm determines it as a real finger touch operation and passes the touch event to the subsequent system processing module. Similarly, by comprehensively considering multiple factors, only when the capacitance change rate, shape parameters, and coupling capacitor all conform to the characteristics of finger touch, it is determined as a real finger touch operation. This strict judgment method can effectively exclude other interference factors, ensure that the device only responds to the user's real operations, and improve the accuracy of interaction.

[0027] Embodiment 2 further optimizes the waterproof algorithm of the capacitive touch IC and the TDDI integrated touch display IC provided in Embodiment 1. Specifically, it further includes a data update step: During the use of the device, continuously collect new finger touch and liquid contact data, and regularly analyze and process these new data. If it is found that the new data characteristics are significantly different from the existing data in the algorithm library, then re - analyze all the data (including new data) using the clustering algorithm, update the parameters such as the clustering center and threshold in the algorithm library, and continuously optimize and improve the algorithm library to improve the adaptability and accuracy of the algorithm; the update period can be adjusted according to the actual application scenario. For example, for a device used in a high - humidity environment, the update period can be set to one week; for a device used in a normal dry environment, the update period can be set to one month. Through data update, ensure that the algorithm library can adapt to the changes of different environments and usage habits, and improve the accuracy and stability of the algorithm; as the usage environment and user usage habits change, the data characteristics of finger touch and liquid contact may change. If the algorithm library is not updated, it may lead to inaccurate judgment. By continuously collecting new data and regularly updating the algorithm library, the algorithm can always adapt to the latest situation and improve the accuracy and stability of judgment.

[0028] Furthermore, in the data acquisition and feature extraction step, it further includes collecting the temperature data of the touch area: When a finger touches, due to the influence of the human body temperature, the temperature of the touch area will rise by a certain amount within a short period of time. Let the temperature change function caused by finger touch be T_f(t); when a liquid comes into contact, the temperature change function of the touch area is (T_l(t). If the temperature difference between the liquid and the ambient temperature is small, the temperature change is relatively insignificant. The collected temperature data is used as an additional feature. There are obvious differences in temperature changes between finger touch and liquid contact, and this difference can be used as another important basis for distinguishing between the two. By collecting temperature data, temperature characteristics can be combined for comprehensive analysis in multiple determinations, reducing the possibility of misjudgment and improving the accuracy of algorithm judgment. Through experimental statistics, it is found that when a finger touches, the temperature of the touch area usually rises by more than 0.5°C within a short period of time, while the temperature change during liquid contact (when the temperature difference between the liquid and the ambient temperature is small) generally does not exceed 0.2°C.

[0029] Example 3 further optimizes the waterproof algorithm of the capacitive touch IC and the TDDI integrated touch display IC provided in Example 1 or 2. Specifically: I. Hardware preparation: Ensure that the touch IC has high-precision capacitance sensing electrodes and fast data acquisition and processing capabilities. In the design of the touch screen, optimize the layout and arrangement of the sensing electrodes to improve the acquisition accuracy of characteristics such as the capacitance, shape, and coupling capacitance of the touch object. II. Algorithm initialization: When the device starts up, initialize and load the algorithm library of the firmware, read the existing feature data of finger touch and liquid contact from the pre-stored database, and load it into the algorithm library to provide a data basis for subsequent real-time determination. III. Real-time data acquisition and processing: When an object touches the touch screen, the sensing electrodes of the touch IC immediately start to collect the capacitance, electric field distribution (for extracting shape features), and coupling capacitance data of the touch area; preprocess the collected data, such as removing noise interference and data normalization, etc., to improve the accuracy and usability of the data, and calculate parameters such as capacitance change rate, shape parameters, and coupling capacitance-related parameters according to the above formula. IV. Determination process: According to the process of multiple determinations, analyze and judge the feature data of capacitance, shape, and coupling capacitance in turn, compare the parameters calculated in real time with the cluster centers and thresholds in the algorithm library, and determine whether it is a finger touch or liquid interference according to the comparison results. If it is determined as a finger touch operation, transfer the relevant information of the touch event (such as touch position, touch action type, etc.) to the operating system or application program of the device for corresponding processing. If it is determined as a liquid interference signal, ignore the signal and continue to wait for the detection of the next touch signal.

[0030] In the present invention, unless otherwise clearly defined and limited, terms such as "installed", "connected", "coupled", "fixed", etc. shall be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection, an electrical connection, or communicable with each other; it may be directly connected, or indirectly connected through an intermediate medium, and may be the internal communication of two components or the interaction relationship between two components, unless otherwise clearly defined. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0031] Obviously, the embodiments described above are only a part of the embodiments of the present invention, rather than all embodiments. The preferred embodiments of the present invention are shown in the drawings, but do not limit the patent scope of the present invention. The present invention can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions described in the foregoing specific embodiments, or perform equivalent replacements for some of the technical features. Any equivalent structure directly or indirectly using the content of the specification and drawings of the present invention in other related technical fields shall be similarly within the scope of the patent protection of the present invention.

Claims

1. Waterproof algorithm for capacitive touch IC and TDDI integrated touch display IC, characterized in that: include: Data collection and feature extraction steps: using the sensing electrodes of the touch IC to collect the capacitance data of the touch area in real time, analyzing the changes in the electric field distribution in the touch area to extract the morphological features of the touch object, and measuring the coupling capacitance between the sensing electrodes and the touch object; Steps to improve the algorithm library: Collect a large amount of data on finger touch and liquid contact under different conditions, calculate the capacitance, shape, and coupling capacitance related parameters; use the clustering algorithm in machine learning to determine the clustering center of various parameters and store them in the algorithm library; Multiple judgment steps: When the touch IC detects a touch signal, it analyzes and judges the capacitance change rate, morphological parameters, and coupling capacitance in turn, and determines whether it is a finger touch or a liquid interference signal based on the judgment result.

2. The capacitive touch IC and TDDI integrated touch display IC waterproof algorithm according to claim 1, characterized in that: In the data collection and feature extraction steps: When a finger touches, the function of the capacitance changing with time is (C_f(t)), which shows a pulsed change, and the rate of change (v_f=\frac{dC_f(t)}{dt}) fluctuates greatly in a short period of time; when liquid contacts, the capacitance changing function is ((C_l(t), which changes relatively slowly, and the rate of change (v_l=\frac{dC_l(t)}{dt}) is relatively stable and small.

3. The capacitive touch IC and TDDI integrated touch display IC waterproof algorithm according to claim 2, characterized in that: In the data collection and feature extraction steps: using the contour feature description method, assuming that the contour perimeter of the finger touch area is (P_f) and the area is (A_f), then the morphological parameter (M_f=\frac{P_f^2}{A_f}) fluctuates within a certain range and is relatively stable.

4. The capacitive touch IC and TDDI integrated touch display IC waterproof algorithm according to claim 3, characterized in that: For the liquid contact area, the perimeter (P_l) and area (A_l) change continuously with time, and the morphological parameters (M_l=\frac{P_l^2}{A_l}) change in a relatively disordered manner and continue to increase.

5. The capacitive touch IC and TDDI integrated touch display IC waterproof algorithm according to claim 4, characterized in that: In the data collection and feature extraction steps: When a finger touches, the coupling capacitance (C_{cf}(t)) changes with the finger movement. When pressed, (C_{cf}(t)) increases. Assume that its change is related to the finger pressure (F) and satisfies (C_{cf}(t)=k_1F+b_1), (k_1) and (b_1) are constants. The coupling capacitance (C_{cl}(t)) between the liquid and the sensing electrode changes relatively smoothly and does not produce obvious changes related to the touch action over time.

6. The capacitive touch IC and TDDI integrated touch display IC waterproof algorithm according to claim 1, characterized in that: In the algorithm library improvement step: Using the clustering algorithm in machine learning, the (v) values ​​of all samples are taken as data points, and they are divided into two categories: finger touch and liquid contact. The clustering centers (C_{v_f}) and (C_{v_l}) of the two types of data are determined. Similarly, cluster analysis is performed on the morphological parameters and coupling capacitance parameters to obtain the corresponding cluster centers (C_{M_f}), (C_{M_l}), (C_{C_{cf}}), and (C_{C_{cl}}). These cluster centers and related parameter ranges are stored in the algorithm library as the basis for subsequent judgment.

7. The capacitive touch IC and TDDI integrated touch display IC waterproof algorithm according to claim 1, characterized in that: In the multiple decision steps: When the touch IC detects a touch signal, it first calculates the current capacitance change rate (v=\frac{dC(t)}{dt}); if (|v-C_{v_l}|<\epsilon_1), where (\epsilon_1) is the capacitance change rate determination threshold, it enters the morphological feature analysis; Calculate the morphological parameters of the current touch area (M=\frac{P^2}{A}). If (|M-C_{M_l}|<\epsilon_2), where (\epsilon_2) is the morphological parameter judgment threshold, then analyze the coupling capacitance (C_c(t)); if (C_c(t)) changes smoothly and is consistent with the characteristics of (C_{C_{cl}}), the algorithm determines that the signal is a liquid interference signal and does not trigger a touch operation response.

8. The capacitive touch IC and TDDI integrated touch display IC waterproof algorithm according to claim 7, characterized in that: In the multiple decision steps: If (|v-C_{v_f}|<\epsilon_1), then analyze the morphological parameters (M); If (|M-C_{M_f}|<\epsilon_2), then check the coupling capacitance (C_c(t)); If the change of (C_c(t)) conforms to the law related to finger movements; When all three of the above conditions are met, the algorithm determines that it is a real finger touch operation and transmits the touch event to the subsequent system processing module.

9. The capacitive touch IC and TDDI integrated touch display IC waterproof algorithm according to claim 1, characterized in that: It also includes the data update step: During the use of the device, new finger touch and liquid contact data are continuously collected, and these new data are regularly analyzed and processed. If it is found that the new data features are significantly different from the existing data in the algorithm library, the clustering algorithm is re-applied to analyze all the data.

10. The capacitive touch IC and TDDI integrated touch display IC waterproof algorithm according to claim 1, characterized in that: The data collection and feature extraction step also includes collecting temperature data of the touch area: When a finger touches the surface, due to the influence of human body temperature, the temperature of the touch area will rise to a certain extent in a short period of time. Let the temperature change function caused by finger touch be T_f(t); when liquid touches the surface, the temperature change function of the touch area is (T_l(t). If the difference between the liquid temperature and the ambient temperature is small, the temperature change is relatively unobvious. The collected temperature data is used as an additional feature.

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