A layered signal processing touch detection method and system in a waterproof environment

Abstract

This invention discloses a layered signal processing touch detection method and system in a waterproof environment, relating to the field of data processing technology. By continuously correlating the liquid film thickness field, propagation potential deviation field, afterimage propagation topology map, and closed-loop topology map, the method can identify abnormal touches from the liquid film propagation evolution process itself, rather than judging false touches solely based on instantaneous capacitance changes. Since the method can continuously analyze the migration, closed-loop aggregation, and liquid bridge breakage processes of the liquid film from the central region to the edge region, it can identify the trend of the liquid film evolving into a ring-shaped virtual touch circle in advance, even if the liquid film has not yet formed an actual virtual touch, and restrict the corresponding area from participating in new touch triggers in advance.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, specifically to a layered signal processing touch detection method and system for waterproof environments. Background Technology

[0002] In the fields of intelligent touch interaction and flexible electronic sensing, touch detection technology has been widely used in industrial control terminals, vehicle interactive devices, outdoor protective display terminals, and intelligent operating devices in humid environments. With the development of multi-layer capacitive sensing structures, pressure-coordinated sensing structures, and high-density sensing array technologies, touch detection in waterproof environments has gradually expanded from traditional dry touch recognition scenarios to complex liquid interference scenarios such as liquid film coverage, foam residue, water droplet adhesion, and cleaning and wiping.

[0003] Most existing waterproof touch detection methods are based on capacitance increment or pressure threshold in a single scan cycle to determine touch. They mainly filter out water droplet interference by fixing the threshold or eliminate some liquid false touches by simple pressure verification. However, they lack the ability to dynamically analyze the continuous propagation evolution structure of the liquid film after the touch ends. Especially in the environments of foam-type liquid film, edge-retracting liquid film, and micro-meniscus liquid bridge, the liquid film does not immediately dissipate, but forms phenomena such as propagation tail, edge aggregation, and local propagation path refraction in continuous scan cycles. As a result, some sensing nodes continue to maintain an abnormal propagation state in subsequent scan cycles.

[0004] In real-world waterproof touch scenarios, after a user completes a touch, swipe, or wipe action, the liquid film on the touch panel surface is affected by edge tension, liquid film evaporation, and local curvature changes, gradually changing from a uniformly diffused state to an edge-retracted state. During this process, some areas of the liquid film form a continuous propagation tail structure migrating along the edge direction, while some edge areas form a closed-loop liquid bridge structure due to the re-aggregation of the liquid film, further forming a high-curvature micro-meniscus liquid surface after local breakage. Once the micro-meniscus liquid surface is formed, the curvature of the local liquid film interface changes the electric field propagation path, causing the propagation phase, which should gradually decay, to shift locally or even reverse. This leads the system to mistakenly identify the liquid film propagation structure as a new touch starting point during continuous scanning cycles. At the same time, since the liquid film afterimage often migrates continuously along the edge and persists, abnormal propagation structures in some areas will continue to propagate even after the pressure propagation has disappeared, ultimately causing abnormal detection phenomena such as touch drift, edge mis-touch, false clicks, and continuous touch lock. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a layered signal processing touch detection method and system for waterproof environments, solving the problems in the background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] Firstly, a layered signal processing touch detection method for waterproof environments includes:

[0008] Multi-layer synchronous sensing data of sensing nodes are collected simultaneously in a waterproof environment to construct the liquid film thickness field and liquid film propagation potential field. By continuously recording the liquid film propagation potential field in multiple time slices, a liquid film propagation state base map is generated.

[0009] Based on the liquid film propagation state base map, abnormal propagation nodes are identified, and all abnormal propagation nodes are rearranged according to spatial coordinates to generate a propagation potential deviation field. The propagation deviation energy over a continuous time period is integrated and accumulated using the propagation potential deviation field to obtain the residual inertia accumulation. The consistency analysis of the residual inertia accumulation and the propagation direction generates a residual propagation topology map. The residual inertia accumulation is used to measure the abnormal inertia of the propagation residual of the current node. The residual refers to the propagation residue of the liquid film that does not disappear normally after the touch ends.

[0010] By analyzing the liquid film edge retraction trend and liquid film volume redistribution relationship through the afterimage propagation topology, a closed-loop topology is generated.

[0011] An edge tension imbalance field is established based on a closed-loop topology diagram. A micro-mensity curvature field is generated through liquid bridge contraction analysis and curvature partial derivative analysis. Combined with the liquid film thickness field and the dry-state reference propagation path, the propagation path offset distribution is identified, and the propagation phase migration relationship is analyzed to generate a phase reversal propagation chain, which is used to reflect the local reverse propagation structure and its spatial propagation path caused by the micro-mensity liquid bridge.

[0012] Based on the phase reversal propagation chain and combined with multi-layer synchronous sensing data, touch verification is performed to determine the authenticity of the touch event.

[0013] Secondly, a layered signal processing touch detection system for waterproof environments includes:

[0014] The data acquisition subsystem is used to synchronously collect multi-layer synchronous sensing data of sensing nodes in a waterproof environment, construct the liquid film thickness field and liquid film propagation potential field, and generate a liquid film propagation state base map by continuously recording the liquid film propagation potential field in multiple time slices.

[0015] The data processing subsystem is used to identify abnormal propagation nodes based on the liquid film propagation state base map, rearrange all abnormal propagation nodes according to spatial coordinates to generate a propagation potential deviation field, and integrate and accumulate the propagation deviation energy over a continuous time period through the propagation potential deviation field to obtain the residual inertial accumulation. The residual inertial accumulation is analyzed to generate a residual propagation topology map by analyzing the consistency between the residual inertial accumulation and the propagation direction.

[0016] The edge retraction subsystem is used to analyze the liquid film edge retraction trend and liquid film volume redistribution relationship through the afterimage propagation topology map, and generate a closed-loop topology map.

[0017] The liquid bridge fracture and phase reversal subsystem is used to establish the edge tension imbalance field based on the closed-loop topology diagram, and generate the curvature field of the micro-curved meniscus through liquid bridge contraction analysis and curvature partial derivative analysis. Combined with the liquid film thickness field and dry reference propagation path, the propagation path offset distribution is identified, and the propagation phase migration relationship is analyzed to generate the phase reversal propagation chain, which is used to reflect the local reverse propagation structure and its spatial propagation path caused by the liquid bridge of the micro-curved meniscus.

[0018] The touch verification module subsystem is used to perform touch verification based on the phase reversal propagation chain and combined with multi-layer synchronous sensing data to determine the authenticity of touch events.

[0019] The above-described solution of the present invention has at least the following beneficial effects:

[0020] By continuously correlating the liquid film thickness field, propagation potential deviation field, afterimage propagation topology, and closed-loop topology, this method can identify abnormal touches from the liquid film propagation evolution process itself, rather than judging false touches solely based on instantaneous capacitance changes. Since this method can continuously analyze the migration, closed-loop aggregation, and liquid bridge rupture processes of the liquid film from the central region to the edge region, it can identify the trend of the liquid film evolving into a ring-shaped virtual touch circle in advance, even if the liquid film has not yet formed an actual virtual touch, and restrict the corresponding area from participating in new touch triggers in advance.

[0021] By coupling analysis of the micro-curved lunar surface curvature field, propagation path offset distribution, and phase reversal propagation chain, this method can not only identify established abnormal propagation, but also identify hidden liquid bridge propagation regions that have not yet formed actual accidental touches but have begun to change the propagation path structure. At the same time, by introducing continuous offset analysis between the pressure propagation center and the centroid of the phase propagation chain, it can distinguish the difference between real pressure propagation and liquid film refraction propagation, thereby avoiding the liquid film afterimage being misidentified as a new click event in subsequent scanning cycles. Attached Figure Description

[0022] Figure 1 This is a flowchart of a layered signal processing touch detection method in a waterproof environment according to the present invention;

[0023] Figure 2 This is a structural diagram of a layered signal processing touch detection system for a waterproof environment according to the present invention. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] like Figure 1 As shown, an embodiment of the present invention provides a layered signal processing touch detection method in a waterproof environment, comprising the following steps:

[0026] S100: In a waterproof environment, it synchronously collects multi-layer synchronous sensing data of sensing nodes, constructs liquid film thickness field and liquid film propagation potential field, and generates liquid film propagation state base map by continuously recording the liquid film propagation potential field in multiple time slices.

[0027] S200: Based on the liquid film propagation state base map, abnormal propagation nodes are identified, and all abnormal propagation nodes are rearranged according to spatial coordinates to generate a propagation potential deviation field. The propagation deviation energy in continuous time is integrated and accumulated through the propagation potential deviation field to obtain the residual inertial accumulation. The residual inertial accumulation is analyzed to generate a residual propagation topology map by analyzing the consistency between the residual inertial accumulation and the propagation direction.

[0028] S300: By analyzing the afterimage propagation topology, the trend of liquid film edge retraction and the relationship of liquid film volume redistribution are analyzed, and a closed-loop topology is generated.

[0029] S400: Based on the closed-loop topology diagram, an edge tension imbalance field is established, and through liquid bridge contraction analysis and curvature partial derivative analysis, a micro-mensity curvature field is generated. Combined with the liquid film thickness field and the dry-state reference propagation path, the propagation path offset distribution is identified, and the propagation phase migration relationship is analyzed to generate a phase reversal propagation chain, which is used to reflect the local reverse propagation structure and its spatial propagation path caused by the micro-mensity liquid bridge.

[0030] S500: Based on the phase reversal propagation chain and combined with multi-layer synchronous sensing data, touch verification is performed to determine the authenticity of the touch event.

[0031] In this embodiment of the invention, by performing continuous layered analysis of the liquid film propagation process in a waterproof environment, the touch judgment is no longer based solely on the capacitance increment or pressure threshold at a single moment. Instead, multiple continuous physical processes such as liquid film thickness evolution, afterimage propagation migration, edge retraction and aggregation, liquid bridge breakage, and propagation phase reversal are correlated and analyzed, enabling the identification of abnormal propagation structures that gradually evolve from the end of the touch.

[0032] Since the method has established a liquid film propagation state base map during the liquid film propagation stage, subsequent edge retraction, closed-loop aggregation, and phase reversal are no longer discrete noise, but are identified as continuous evolution results in the same liquid film propagation process. Therefore, when the local liquid film has begun to form an edge closed loop but the pressure propagation center has not migrated synchronously, the potential false touch propagation trend in the current area can be identified in advance, without having to wait for the false touch to actually occur before filtering is performed.

[0033] Furthermore, once the micro-meniscus is formed, even if the local capacitance amplitude changes weakly, this method can still identify potential reverse propagation structures based on the relationship between propagation path offset and phase migration. This indirectly identifies the hidden propagation refraction region in the liquid film boundary. For example, after a user wipes the vehicle touchscreen, although the residual foam at the edge has not yet formed obvious false touches, the edge liquid film has already formed a closed loop and is accompanied by local curvature enhancement. This will limit the area from participating in new touch triggers in advance, thereby avoiding the sudden generation of continuous false touches when the liquid film migrates again due to subsequent vehicle vibration. Therefore, this invention can not only suppress existing liquid film false touches, but also identify the propagation structure that has not yet formed actual false touches in advance, thereby obtaining the ability to isolate potential false touch propagation trends in advance.

[0034] In a preferred embodiment of the present invention, S100 includes: after the touch or wiping action ends, simultaneously collecting multi-layer synchronous sensing data, and inferring the local equivalent dielectric constant and the local thickness distribution state of the liquid film based on the change in capacitive coupling, so as to construct a liquid film thickness field.

[0035] In practice, after a user completes a touch or wiping action on the touch panel, the system does not immediately resume normal touch detection. Instead, it first enters the liquid film reconstruction analysis stage. Using all sensing nodes as sampling objects, it synchronously samples the capacitive sensing layer, pressure sensing layer, ambient humidity sensing unit, and panel edge electrode array according to a preset scanning cycle, forming multi-layer synchronous sensing data. The local thickness of the liquid film is then inferred from changes in capacitive coupling. Because the liquid film alters the equivalent dielectric constant between the sensing layer and the air layer, the equivalent dielectric relationship from the planar capacitor model is adopted. A mapping relationship between nodal capacitance response and local dielectric state is established to deduce the local equivalent dielectric constant at the corresponding location based on the nodal capacitance response. The equivalent capacitance value is obtained by the touch control chip through capacitance scanning. When there is air above the node... Approximately dry-state reference capacitance; when a water film, foam, or finger covers the node, the dielectric environment changes. An offset will occur; For the index of sensing nodes, For scan cycle index; The local equivalent dielectric constant reflects the strength of the liquid film's propagation ability and is used to infer the liquid film thickness, the degree of liquid film residue, and the local electric field propagation state. Above the touch panel, the medium includes air, water film, foam, finger skin, micro-curved meniscus droplets, and cleaning agent residue layer. The effective sensing area is the size of the effective region where the node participates in capacitive coupling, which is derived from the electrode layout size. The equivalent sensing distance is the equivalent distance between the touch electrode and the sensing medium, which is derived from the structural parameters of the touch module.

[0036] Next, based on the mixing ratio between the dielectric constants of water and air, the equivalent thickness of the liquid film is calculated. ,in For the first The equivalent thickness of the liquid film above the sensing node, during touch sensing, affects the capacitance response. This change does not directly depend on the external contour of the droplet surface, but rather on the effective propagation range within the electric field propagation region that is replaced by the liquid film medium. When the liquid film enters the main propagation region of the induced electric field, the local propagation medium gradually changes from air to a high-dielectric-constant liquid film medium, causing a change in the equivalent coupling capability between nodes, thus resulting in a shift in the node capacitance value. This represents the equivalent depth of the liquid film medium that is replaced in the local electric field propagation path at this node, i.e., the degree to which the liquid film occupies space in the propagation path.

[0037] is the air dielectric constant, which corresponds to the reference dielectric value under dry conditions and is obtained through dry-state calibration; The dielectric constant of the water film corresponds to the reference dielectric value under the condition of complete liquid film coverage. It is obtained through a standard liquid film coverage calibration method, specifically: a standard liquid film layer of preset thickness is formed on the surface of the touch panel, and the node capacitance value is read when the liquid film completely covers the sensing area. The relationship between the node sensing area and the equivalent sensing distance is established to back-calculate the dielectric constant of the water film under the current device structure. The dielectric constant of the water film is used to characterize the overall dielectric coupling capability of the liquid film medium to the electric field propagation area.

[0038] This represents the proportion of liquid film medium in the propagation path of the current node. When it is completely dry, its value is 0, indicating that there is no liquid film in the propagation path. When it is completely covered by liquid film, its value is 1, indicating that the propagation path is completely occupied by liquid film.

[0039] Subsequently, a liquid film thickness field is established based on the equivalent thickness of the liquid film at all nodes, providing a unified data foundation for subsequent hysteresis afterimage recognition, edge retraction analysis, and phase reversal determination.

[0040] Among them, the capacitance sensing layer collects the capacitance increment value of each electrode node, the pressure sensing layer collects the pressure response value at the same location, the ambient humidity sensing unit collects the air humidity near the panel, and the edge electrode array collects the boundary coupling response of the screen periphery to characterize the continuous electric field coupling state formed by the liquid film in the edge region.

[0041] Based on the liquid film thickness field, by establishing the liquid film mass conservation relationship and analyzing the migration trend of liquid film thickness in space, the liquid film flow direction is inferred from the thickness change over continuous time, and the liquid film flow direction corresponding to all sensing nodes is combined into a liquid film flow direction field, which is used to characterize the redistribution path of the liquid film from the central region to the edge region.

[0042] In practical implementation, a liquid film mass conservation model is established based on the liquid film thickness field, and the continuity equation is used. This describes the migration process of the liquid film on the surface of the touch panel; where... The equivalent thickness of the liquid film. This refers to the local flow velocity of the liquid film. Liquid film flow rate represents the liquid film migration flux through a certain area per unit time; Let be the rate of change of liquid film thickness with respect to time, when This indicates that the liquid film in the area is decreasing, possibly due to evaporation or migration towards the edge; The divergence of the liquid film flow rate is used to represent the net inflow or net outflow state of the liquid film in the current region; if This indicates a net inflow of liquid film, which will cause liquid film to accumulate in this area.

[0043] Subsequently, the direction of liquid film flow was deduced by analyzing the thickness changes over a continuous period of time. Subsequently, the flow direction vectors of all nodes are combined to form a liquid film flow direction field. This direction field is used to indicate whether the liquid film continues to diffuse as a whole after the touch ends, or has begun to migrate towards the edge region; where The direction of liquid film flow is used to determine whether the liquid film is accumulating towards the edge or has begun to break locally. and Indicates the node position;

[0044] The rate of change of the liquid film thickness at the current node. For the liquid film thickness gradient, To prevent small positive terms with a denominator of 0, the value is taken as... ;

[0045] By multiplying the liquid film thickness by the corresponding local equivalent dielectric constant, the liquid film propagation potential field is obtained, and a liquid film propagation state basis map is generated for subsequent liquid film migration, edge closure, and phase propagation analysis.

[0046] In practice, the liquid film propagation potential field is obtained by multiplying the liquid film thickness field with the local equivalent dielectric constant. This propagation potential field is essentially the spatial distribution field of the liquid film's ability to influence the propagation of the electric field. It reflects the comprehensive influence of the current region on the touch propagation path. Subsequently, by continuously recording the liquid film propagation potential field in multiple time slices, a liquid film propagation state base map is established to describe the evolution of the liquid film propagation influence in continuous time.

[0047] This implementation method does not immediately resume normal touch detection after the touch ends, but instead enters the liquid film reconstruction analysis stage first. It also constructs multi-layer synchronous sensing data by combining the capacitance sensing layer, pressure sensing layer, ambient humidity sensing unit and edge electrode array. This allows the method to no longer judge liquid interference based solely on the amplitude of a single capacitance value, but to start from the propagation state of the liquid film medium itself and continuously analyze the spatial occupancy, migration direction and propagation influence of the liquid film in the electric field propagation path.

[0048] Since the liquid film thickness field and the liquid film propagation potential field both originate from the same liquid film propagation process, subsequent liquid film edge migration, edge loop formation, and phase anomaly propagation can all be established on a unified propagation reference, thereby avoiding the problem of misjudgment accumulation caused by inconsistent reference variables between different detection modules in traditional schemes.

[0049] Furthermore, by establishing the liquid film flow direction field through the liquid film mass conservation relationship, the system can not only identify whether the liquid film currently exists, but also identify in advance whether the liquid film has begun to migrate to the edge region. Therefore, even if some liquid film regions have not yet formed obvious false contact, the system can identify the possible edge aggregation trend in advance based on the time evolution relationship of the liquid film propagation potential field.

[0050] In a preferred embodiment of the present invention, S200 includes: based on the liquid film propagation state baseline map, analyzing the degree of deviation of the liquid film propagation potential from the theoretical release model over continuous time, identifying whether the current region has deviated from the normal propagation and release law, and generating a propagation potential deviation field, including:

[0051] Locate the liquid film propagation release starting point corresponding to the end of the touch, and extract the propagation potential distribution of each sensing node in the liquid film propagation state base map at the start of the release stage to obtain the initial propagation potential set of the nodes. The initial propagation potential set of the nodes includes the current liquid film propagation potential of each sensing node in the liquid film propagation potential field.

[0052] Based on the initial propagation potential set of nodes, the propagation attenuation law of sensing nodes under normal release conditions is analyzed, a theoretical release model is established, and theoretical release propagation potentials in several sampling periods are obtained. These potentials are then sorted in chronological order to obtain a theoretical release propagation potential sequence, which serves as a reference benchmark for subsequent actual propagation potential deviation analysis.

[0053] The liquid film propagation potential field in the liquid film propagation state base map is read, and the absolute difference between it and the theoretical release propagation potential sequence is used as the afterimage deviation, resulting in a set of afterimage deviations for tail recognition, which serves as the basic input for subsequent abnormal propagation region recognition. The set of afterimage deviations includes afterimage deviations at different sensing nodes;

[0054] Based on the set of afterimage deviations, by analyzing the relationship between the degree of deviation of the propagation potential of the sensing node and the excess of the actual propagation potential relative to the theoretically released propagation potential, we can identify whether the current region has deviated from the normal propagation and release pattern and generate a propagation potential deviation field.

[0055] In practice, the liquid film propagation state base map is read, and the start time of the liquid film propagation entering the release phase is determined based on the touch end signal, pressure layer release signal, or cleaning action end marker. Subsequently, the liquid film propagation potential field corresponding to the start time is extracted from the propagation state base map, and the current propagation potential of each node is written into the node's initial propagation potential set.

[0056] Because the liquid film distribution states are different in different regions, the initial propagation potential of each node is also different. Different initial propagation potential values ​​will be formed in the edge liquid film accumulation region, the foam tail region, and the micro-meniscus liquid bridge region.

[0057] The system further binds node coordinates to corresponding propagation potentials, so that each node has both spatial location and propagation start state information, which is used to construct the theoretical propagation and release path of the current node under normal release conditions;

[0058] Next, the initial propagation potential set of the node is read, and the propagation attenuation coefficient in the node's normal release calibration parameters is called. The theoretical propagation and release curve is then established based on the exponential function. This describes how the propagation potential of the current node should decay over time under normal liquid film release conditions; where... The theoretical release propagation potential refers to the degree to which the propagation potential of the current node should decay if there is no bubble tail, edge retraction, micro-curved lunar surface, or phase anomaly. It serves as a reference value for normal release.

[0059] This is the initial propagation potential of the corresponding node at the release starting point, which serves as the starting value for the theoretical release model and is used to establish the theoretical release trajectory of each node. The node propagation attenuation coefficient is used to control the attenuation rate of the theoretical propagation and release curve. The larger the value, the faster the propagation and release, and the easier the liquid film dissipates. This is the time difference between the current moment and the release starting point, used to control the propagation potential to gradually decrease over time; The base is natural, and the value is approximately 2.71828; This represents the remaining proportion of the propagation potential at the current moment relative to the initial propagation potential. This is the starting point of the release, i.e., the start time of the release phase;

[0060] in, The data is derived from dry-state touch release calibration or historical normal liquid film release data. Under conditions of no abnormal liquid film residue, the decay change of the node propagation potential over time is continuously collected, and the propagation release curve is fitted based on an exponential function to infer the propagation release decay coefficient of the current node. This coefficient describes the decay rate of the node under normal propagation release conditions, and its value ranges from [value missing]. ;

[0061] The theoretical release propagation potential is calculated in chronological order across multiple sampling periods, generating a sequence of theoretical release propagation potentials. Because different nodes have different structures, electrode sizes, and edge coupling states, the theoretical release paths for each node are also different.

[0062] The actual propagation potential at the current time slice is read from the liquid film propagation state base map, and then aligned node by node with the theoretical release propagation potential sequence according to the node number and time number. Subsequently, the afterimage deviation of the current node at the current time is calculated. ,in This is the afterimage deviation, used to quantify whether there is any abnormal propagation residue at the current node; The actual propagation momentum at the current moment, To take the absolute value;

[0063] To avoid the impact of differences in the initial propagation potential between different nodes, the normalized propagation deviation ratio is further calculated. ,in The normalized propagation deviation ratio is used to eliminate differences in initial propagation potential between different nodes;

[0064] When a node satisfies Exceeding the preset deviation threshold and If the value exceeds 0, the current node is determined to have deviated from the normal propagation and release pattern, and is added to the abnormal propagation node set as an abnormal propagation node. The judgment condition is used to determine whether the deviation exceeds the allowable range of normal release, while ensuring that the current propagation potential is higher than the theoretical release potential, rather than simply exhibiting a faster decay rate. Subsequently, all abnormal propagation nodes are rearranged according to spatial coordinates, and a propagation potential deviation field is established. This deviation field indicates which areas in the current panel still have residual abnormal liquid film propagation.

[0065] Based on the propagation potential deviation field, the propagation deviation energy over a continuous time period is integrated and accumulated, and the persistent distribution of the liquid film afterimage in space is analyzed in conjunction with the neighborhood connectivity relationship to obtain the afterimage propagation chain.

[0066] In practice, the deviation of each node is calculated using time integration. To compute the persistence of the node's afterimage throughout the entire liquid film release phase, where This is the afterimage inertia value, used to measure the abnormal inertia of the propagation of afterimages at the current node; and This refers to the start and end times of the release phase; Normalized propagation deviation ratio;

[0067] Subsequently, the inertial values ​​of all nodes are mapped to spatial coordinates to establish an inertial accumulation field. Since liquid film afterimages typically do not appear in isolation but rather form continuous tails along the liquid film migration direction (e.g., foam tails form a series of continuous residual regions, and edge migration forms continuous chains extending towards the edge), further neighborhood connectivity analysis is required for high-inertia nodes in the inertial accumulation field. The specific steps are as follows:

[0068] Step 1: Calculate the inertial screening threshold using local neighborhood statistics and compare it with the inertial value of the residual image in the residual image inertial accumulation field. If the residual image inertial value exceeds the inertial screening threshold, write the corresponding node into the inertial candidate node set to indicate the node whose propagation residual duration in the current region is significantly higher than that of the neighborhood background.

[0069] Step 2: Based on the inertial candidate node set, use the eight-neighbor connectivity method to connect nodes that meet the spatial distance conditions. Adjacent edges are established between nodes, thus forming an inertial node adjacency graph. Among them, Represents the spatial connectivity radius of the nodes, which is the maximum spatial distance between two nodes that the system allows to establish a propagation connection. The distance between the two nodes is the Euclidean distance.

[0070] Since the liquid film afterimage does not diffuse randomly but forms a continuous tail along the direction of liquid film migration, it is necessary to perform a consistency analysis on the propagation direction vectors of adjacent nodes. First, the propagation direction vector is established based on the changes in the propagation position of the nodes in continuous time. Then calculate the directional angle between adjacent nodes. ,when If the angle threshold is not exceeded, the propagation directions of the two nodes are determined to be consistent, and a propagation connection between the nodes is allowed; whereby... and These are the propagation direction vectors of different nodes, which describe the migration direction of the node's propagation position in continuous time and are used to determine whether multiple nodes belong to the same propagation tail direction. and These are the horizontal spatial coordinates at adjacent time points. and The vertical spatial coordinates are at adjacent time points. The angle between the directions is used to determine whether the propagation directions of the two propagation nodes are consistent. and For the propagation displacement length at different nodes, It is the inverse cosine function;

[0071] Step 3: To avoid the formation of pseudo-propagation chains by instantaneous disturbance nodes, a time persistence constraint is introduced. The duration of node existence is statistically analyzed, and the duration of node existence is required to exceed a preset minimum duration threshold. Step 4: Nodes that simultaneously satisfy the conditions of continuous inertia enhancement, spatial proximity, consistent propagation direction, and continuous duration are aggregated into regions to form a residual propagation chain. This residual propagation chain not only represents the current spatial distribution of liquid film residuals but also reflects the continuous migration trend of liquid film propagation tails in the time dimension, and serves as the input basis for subsequent edge retraction and loop formation analysis.

[0072] Based on the afterimage propagation chain, the overall migration trajectory and edge approach trend of the afterimage propagation chain in continuous time are analyzed to establish the afterimage propagation topology relationship and obtain the afterimage propagation topology map for edge loop formation analysis.

[0073] In this invention, all parameters are dimensionless by using dimensionless processing technology to remove their dimensions, and all thresholds can be obtained by the mean-standard deviation method.

[0074] In practice, the nodes in each afterimage propagation chain already satisfy the constraints of spatial adjacency, consistent local propagation direction, and temporal continuity. Therefore, each propagation chain essentially represents a set of continuous liquid film afterimage tail structures. Subsequently, the chain centroid coordinates are established for each afterimage propagation chain. The chain centroid is used to represent the overall spatial position of the current afterimage propagation chain in the entire panel. The centroid migration trajectory of the chain is tracked in a continuous time window to obtain the overall migration vector of the current propagation chain in continuous time, that is, the centroid difference between adjacent time points, which is used to describe the direction in which the entire afterimage propagation chain is migrating.

[0075] Then, the position of the screen edge boundary is obtained, and the Euclidean distance from the centroid of the current propagation chain to the nearest edge boundary is calculated. The rate of change of distance in continuous time is calculated. If the rate of change of distance is greater than 0 and the overall migration vector does not exceed the preset migration threshold under the condition of continuous time, it means that the propagation chain is moving closer to the edge region and is not drifting randomly, so as to form a stable edge migration structure.

[0076] Since the annular virtual contact ring is essentially an edge propagation closed loop, it is necessary to analyze the endpoint connection trend of the propagation chain in the edge region, extract the set of edge endpoints of the propagation chain, and calculate the Euclidean distance between the edge endpoints of different propagation chains. When the Euclidean distance does not exceed the preset distance threshold in a continuous time, it indicates that different propagation chains are approaching each other and have formed an edge closed loop connection trend, and generate a residual image propagation topology map. This residual image propagation topology map is used to describe the overall propagation structure of the liquid film residual image gradually evolving from a local tail to an edge closed loop, and serves as the input basis for subsequent annular virtual contact ring formation analysis.

[0077] The edge endpoint set represents the two boundary endpoints of the current propagation chain in the edge region. The edge region represents the boundary propagation area within a certain range from the screen boundary. The edge region is obtained by extending the screen boundary inward by a preset edge propagation width, and is used to represent the areas where the liquid film is prone to boundary aggregation, edge retraction, and propagation loop formation during the propagation and release process; the afterimage propagation topology map limits the retraction analysis range;

[0078] This embodiment establishes a theoretical propagation and release curve during the liquid film release stage and performs continuous-time deviation analysis between the actual propagation potential and the theoretical release propagation potential. This allows the method to no longer rely solely on instantaneous abnormal signals to determine liquid film mis-touch, but to identify the continuous propagation behavior of liquid film afterimages from the perspective of whether the propagation and release law has been disrupted.

[0079] Because this method further performs time integration, directional consistency analysis and spatial connectivity analysis on the propagation deviation, the originally discrete foam tail, water film edge residue and local propagation inertia region will be uniformly identified as a residual propagation structure with a continuous migration trend, so as to identify its edge aggregation trend in advance before the liquid film truly forms an edge closed loop.

[0080] Furthermore, by establishing the centroid migration relationship of the afterimage propagation chain and the proximity relationship of the edge endpoints, this method can not only identify whether the current liquid film has a propagation tail, but also analyze whether the liquid film is evolving into a ring-shaped closed-loop propagation structure. Therefore, even if some edge liquid films have not yet generated actual false touches, as long as their propagation chain has begun to gather towards the edge area and form an endpoint closure trend, it can prevent the area from entering a new touch triggering process in advance.

[0081] In a preferred embodiment of the present invention, S300 includes: based on the afterimage propagation topology map, analyzing the gradient enhancement trend of the liquid film thickness field in continuous space to obtain the spatial gradient modulus, and combining the liquid film flow direction field to analyze whether the current liquid film is shrinking and migrating towards the edge direction to obtain the shrinkage angle.

[0082] If the spatial gradient magnitude exceeds the preset magnitude threshold and the retraction angle does not exceed the preset retraction threshold, it indicates that the liquid film is currently undergoing a retraction and aggregation process from the central region to the edge region. In this case, the corresponding sensing node will be included in the dynamic edge aggregation region. Each sensing node in the dynamic edge aggregation region is located in the extension direction of the afterimage propagation topology.

[0083] Specifically, the liquid film thickness field is remapped based on the propagation chain nodes in the afterimage propagation topology diagram. Since the overall migration trend of the liquid film afterimage has been analyzed, the edge region in the current liquid film thickness field already contains the afterimage tail structure.

[0084] Subsequently, a spatial gradient is established for the liquid film thickness field to represent the direction of change of the liquid film thickness in space. The gradient direction indicates the direction of the fastest increase in liquid film thickness, and the gradient modulus represents the intensity of the change in liquid film thickness.

[0085] Next, calculate the spatial gradient modulus in the edge region and combine it with the continuous time change relationship in the edge region to analyze whether the gradient in the edge region continues to increase. The larger the spatial gradient modulus, the more drastic the change in the liquid film thickness in the current region, that is, the liquid film in the edge region is forming a significant thickness accumulation.

[0086] Read the flow direction vector at the current node and the edge normal direction vector of the corresponding edge region, and simultaneously formulate... Obtain the angle between the liquid film flow direction and the edge normal direction, i.e., the retraction angle. The smaller the value, the closer the current liquid film flow direction is to the edge normal direction, that is, the liquid film is retracting and migrating towards the edge region; conversely, it deviates from the edge region, and the current propagation structure does not belong to the edge retraction and aggregation process. The edge normal direction indicates the reference direction from which the current node points to the nearest screen edge;

[0087] The dynamic edge aggregation region refers to the set of real-time edge regions where the liquid film is continuously migrating towards the edge and accumulating. It is used to determine the effective regions that are currently participating in edge retraction and edge liquid film aggregation, and serves as the input basis for subsequent edge liquid film volume integration, liquid film redistribution chain construction, and loop closed-loop topology analysis.

[0088] By analyzing the volume migration relationship of the liquid film through the dynamic edge aggregation region, the migration ratio is obtained. When the migration ratio is positive and the dynamic edge aggregation region continuously expands along the screen edge direction, a liquid film redistribution chain is generated. The liquid film redistribution chain refers to the continuous volume distribution evolution structure formed when the liquid film continuously migrates from the central region to the edge in a continuous time.

[0089] In practice, spatial integration is performed on the liquid film thickness fields in the dynamic edge aggregation region and the central region respectively to establish the edge liquid film volume and the central liquid film volume; wherein, the edge liquid film volume is used to represent the degree of liquid film accumulation in the dynamic edge aggregation region, and the central liquid film volume is used to represent the distribution of the remaining liquid film in the central region; the central region refers to the non-dynamic edge aggregation region;

[0090] Next, the volume change relationship over continuous time was analyzed, and the migration ratio was established. ,in, The migration ratio is used to characterize the relationship between the increase in the liquid film at the edge and the decrease in the liquid film at the center when the liquid film migrates from the central region to the dynamic edge aggregation region. and The volume of the edge liquid film at different times. and The volume of the central liquid film at different times;

[0091] when When the value is positive and the dynamic edge aggregation region continuously expands along the screen edge direction, the process is written into the liquid film redistribution chain; here, the volume integral is no longer based on the fixed edge region, but on the dynamic edge aggregation region.

[0092] when A value greater than 0 indicates that the liquid film at the edge is increasing while the liquid film at the center is decreasing, meaning that a redistribution process of liquid film formation is underway from the center to the edge; if... A value close to 1 indicates that the newly added liquid film at the edge and the reduced liquid film at the center are nearly identical, suggesting strong continuity in the current liquid film migration; if A value much greater than 1 indicates that the growth of the edge liquid film is not primarily due to migration from the central liquid film, but may originate from localized foam accumulation or random disturbances. The migration ratio is used to determine whether the current liquid film is undergoing a genuine edge migration process, rather than simply a random thickening of the localized edge liquid film.

[0093] Liquid film redistribution chain refers to the continuous volume distribution evolution structure formed when a liquid film continuously migrates from the central region to the edge over a continuous period of time;

[0094] Based on the liquid film redistribution chain and migration ratio, the closed-loop connection relationship between edge high-thickness nodes and the continuous expansion trend of the central cavity are analyzed. A ring-shaped closed-loop connection structure is established, and a closed-loop topology diagram for the formation analysis of micro-lunar liquid bridges is obtained.

[0095] Specifically, nodes with liquid film thickness exceeding the edge thickness threshold and consistently included in the liquid film redistribution chain during continuous time are extracted from the dynamic edge aggregation region in continuous time and used as the set of high-thickness connected nodes at the edges.

[0096] Subsequently, an edge adjacency matrix is ​​established based on the set of edge-thickness connected nodes and the continuous migration relationships in the liquid film redistribution chain. When the sensing node and When both belong to the dynamic edge clustering region and meet the spatial adjacency condition, then Otherwise, it is 0, and a loop detection method from graph theory is used to perform a loop closure search on the graph structure corresponding to the edge adjacency matrix to determine whether the edge clustering region forms a closed path. Specifically, the edge adjacency matrix is ​​regarded as the adjacency matrix of the edge migration graph. When, it indicates that there exists a length of in the graph. The closed path, because of the edge adjacency matrix The diagonal elements in the exponentiation represent nodes. Departure process After the edge, return to the node. The number of paths, at this point the dynamic edge aggregation region is no longer an open tail, but forms a closed-loop connection structure that closes at both ends along the edge direction; among which This is the sum of the number of closed paths across all nodes. This is the edge adjacency matrix; To determine whether there are edge migration connections between nodes;

[0097] Extract low-thickness regions within the closed path and calculate the central void growth rate. A closed-loop topology graph is generated when the edge adjacency matrix contains closed-loop paths and the growth rate of the central hole remains positive over continuous time; where... The central void growth rate is used to determine whether the liquid film inside the closed loop is continuously shrinking. and The central void area represents the area where the liquid film thickness inside the edge closed-loop structure is lower than the void threshold, i.e., the low-thickness region.

[0098] This embodiment dynamically tracks the continuous retraction process of the liquid film from the central region to the edge region by combining the liquid film thickness gradient, liquid film flow direction and liquid film volume migration relationship. This makes the method no longer judge edge mis-touch based solely on whether the edge liquid film thickens, but can identify whether the liquid film has formed a real edge migration evolution structure.

[0099] Since the dynamic edge aggregation region is not a fixed edge region, but is generated in real time based on the direction of liquid film propagation, the trend of spatial gradient enhancement, and the edge retraction angle, it can automatically follow the liquid film migration path to update the edge aggregation range, thereby avoiding the problem of region misjudgment in the traditional fixed edge detection method during liquid film drift.

[0100] Furthermore, by combining the analysis of the liquid film redistribution chain and the migration ratio, this method can not only identify whether the edge liquid film is continuously growing, but also distinguish whether the growth comes from the actual migration of the central liquid film to the edge or from the random accumulation of local foam. Therefore, when the edge liquid film grows but the central liquid film does not decrease synchronously, the system will not misjudge it as an edge retraction process.

[0101] Subsequently, by using the edge adjacency matrix and closed-loop path search, this method can identify whether the edge propagation chain has already shown a trend of closing at both ends before the liquid film has formed a complete annular virtual contact circle, and determine whether the liquid film has entered the closed-loop evolution stage of edge encirclement and center retreat by combining the relationship of continuous expansion of the central cavity.

[0102] In a preferred embodiment of the present invention, S400 includes: extracting high-thickness connected nodes at the inner edge of the closed-loop topology graph, and combining the liquid film thickness field to analyze the changes in liquid film curvature and interface pressure distribution in the closed-loop boundary region to obtain the edge tension imbalance field.

[0103] Specifically, the closed-loop topology is read, and the set of edge high-thickness connected nodes in the closed-loop boundary is extracted. Since the closed-loop aggregation analysis of the liquid film from the center to the edge has been performed, a clear liquid film edge accumulation structure has been formed in the current closed-loop boundary region. Subsequently, based on the liquid film thickness field, local surface fitting is performed on the boundary liquid film surface to obtain two sets of principal curvature radii of the current liquid film interface, which represent the principal curvature radii of the interface in any two orthogonal directions. The two are used together to describe the curvature of the current liquid film surface.

[0104] Using Young-Laplace interface pressure relationship Calculate the local curvature pressure difference in the current boundary region; where, The pressure difference between the inner and outer sides of the liquid film interface due to the bending of the interface is essentially an imbalance of interfacial tension and pressure caused by the uneven bending of the liquid film. It reflects whether the current edge liquid film has shown a tendency to shrink locally. When the liquid film shrinks in the closed loop area at the edge, the curvature of different areas will gradually become unbalanced, resulting in a continuous increase in the interfacial pressure of the local liquid film, which in turn pushes the liquid film to gradually shrink from a continuous liquid layer to form a local liquid bridge.

[0105] This represents the surface tension coefficient of a liquid, used to characterize the tensile strength of a liquid film surface against shrinkage deformation. In waterproof touch scenarios involving water films, foam-type liquid films, or cleaning residue environments, its typical value range is usually [value missing]. It can be determined by the pendant drop method or the maximum bubble pressure method; The unit is Newtons per meter;

[0106] The total average curvature of the liquid film interface is denoted as , where The curvature is in the first principal direction. Let be the curvature in the second principal direction, and the sum of the two represents the overall bending strength of the current liquid film surface; the more curved the liquid film surface, the greater the curvature. The larger; and These are the two principal radii of curvature at the current liquid film interface;

[0107] When the radius of curvature in the closed-loop boundary begins to show significant unevenness, the interfacial pressure in different regions will differ, resulting in local tension imbalance. Therefore, it is necessary to map the local curvature pressure difference in continuous time into a spatial distribution field, i.e., the edge tension imbalance field, to indicate whether the liquid film tension in the current closed-loop boundary has become locally unstable. When the local pressure difference exceeds the preset pressure difference threshold, the boundary region is designated as the edge tension imbalance region, which is used to define the effective area for subsequent liquid bridge contraction analysis.

[0108] The closed-loop boundary is the beginning and end closed liquid film edge path formed by continuous edge high-thickness connected nodes in the closed-loop topology graph;

[0109] Based on the edge tension imbalance field, the shrinkage change relationship of the local liquid film thickness in continuous time is analyzed, a liquid bridge shrinkage continuous connection structure is established, and a liquid bridge fracture judgment chain is obtained.

[0110] Specifically, the edge tension imbalance region is extracted, and the local liquid bridge shrinkage rate within it is calculated to reflect the degree of liquid bridge shrinkage of the node over continuous time. Nodes whose local liquid bridge shrinkage rate exceeds a preset shrinkage threshold are then selected, and a set of liquid bridge shrinkage nodes is established based on the edge tension imbalance region. The local liquid bridge shrinkage rate is the normalized rate of change of the liquid film thickness; if the local liquid bridge shrinkage rate exceeds the preset shrinkage threshold, it indicates that the liquid film thickness in the current boundary node is rapidly thinning over continuous time, meaning the current liquid film has transitioned from a stable, continuous state to a state of significant liquid bridge shrinkage.

[0111] The continuous liquid bridge contraction structure refers to the continuous liquid bridge contraction path structure formed by multiple liquid bridge contraction nodes connected according to spatial adjacency, boundary migration direction, and contraction evolution sequence within a continuous time period. Essentially, it represents the continuous contraction evolution chain formed when the edge liquid film gradually contracts from the continuous liquid film layer to the local liquid bridge structure. It is used to determine whether the current liquid film contraction has formed a continuous liquid bridge breakage trend, rather than local random evaporation or single-point liquid film collapse, thus providing a continuous boundary contraction basis for subsequent micro-lunar liquid bridge formation analysis.

[0112] Perform second-order partial derivative calculations of liquid film curvature on the corresponding regions within the liquid bridge fracture judgment chain, and establish a micro-curved meniscus curvature field by combining the continuous fracture directions in the liquid bridge fracture judgment chain.

[0113] Specifically, the liquid bridge fracture determination chain is read, and the liquid film thickness field in the fracture chain coverage area is extracted. Since a distinct meniscus liquid bridge structure will form at the local liquid film boundary after the liquid bridge fractures, it is necessary to establish the second-order partial derivative of the liquid film curvature in the fracture chain coverage area, that is, to perform a second-order spatial derivative of the liquid film thickness field, to represent the degree of abrupt curvature change of the local liquid surface. The larger the second-order partial derivative, the more drastic the change in curvature of the current liquid film boundary, that is, the liquid surface is forming a locally high-curvature meniscus structure.

[0114] The region satisfying the second-order partial derivative exceeding the preset threshold is defined as the micro-meniscus liquid surface region. Combined with the continuous fracture direction in the liquid bridge fracture judgment chain, the continuous micro-meniscus liquid surface region is mapped to generate a micro-meniscus curvature field. This curvature field is used to reflect the spatial distribution state of local micro-meniscus liquid bridges in the current liquid film boundary and the degree of curvature enhancement.

[0115] Based on the refractive relationship between the liquid film thickness and the direction of liquid surface curvature in the micro-curved meniscus curvature field, the local actual propagation path length is obtained, and combined with the dry-state reference propagation path, the propagation path offset distribution is obtained.

[0116] Specifically, the liquid film thickness and local normal direction of the liquid surface in the curvature field of the micromeniscus are extracted. Since the micromeniscus region after the liquid bridge fracture has been identified, the liquid film interface in the current region has formed a significant local curvature structure. Subsequently, the liquid surface refraction angle is established based on the local curvature of the liquid surface to reflect the degree of offset between the current electric field propagation direction and the local normal direction of the liquid film.

[0117] Establish the local actual propagation path length based on the geometric refraction path relationship. ,in The actual propagation path length of the node under the refraction condition of the micro-meniscus is used to characterize the true propagation distance of the electric field propagation signal in the locally curved liquid film. Since the electric field propagation direction no longer propagates along the original vertical direction after the liquid film interface is curved, but will be deflected by refraction along the curved liquid surface, the actual propagation path will be longer than the normal dry state propagation path.

[0118] The local liquid film thickness at the node location; This represents the projection ratio of the refraction propagation direction onto the normal direction of the liquid surface, i.e., the ratio of the perpendicular component of the current propagation direction relative to the normal direction of the liquid surface; the larger the refraction angle of the liquid surface... The smaller, The larger the value, the more significant the current propagation path is due to the curvature of the liquid surface. Therefore, the actual local propagation path is used to describe the degree of stretching of the electric field propagation path length by the micro-meniscus liquid surface structure, and serves as the input basis for subsequent propagation phase migration analysis.

[0119] The refraction angle of the liquid surface in the node is obtained by the angle relationship between the local liquid surface normal direction and the electric field reference propagation direction.

[0120] Next, the reference propagation path, pre-calibrated under dry conditions, is read. This reference propagation path represents the normal propagation path length of the current node under conditions without liquid film refraction. Subsequently, the difference between the current propagation path and the reference propagation path is calculated to obtain the propagation path offset of the current node under micro-meniscus refraction conditions. When this value continues to increase, it indicates that the current liquid film curvature has begun to significantly change the electric field propagation path. The propagation path offset in continuous time is mapped to a spatial propagation offset distribution, i.e., the propagation path offset distribution.

[0121] Among them, the local liquid surface normal direction is the direction perpendicular to the local tangent plane of the liquid surface on the current liquid film surface. Since the micro-meniscus liquid surface will form a local tilted liquid surface, the liquid surface normal direction will change in different regions.

[0122] The reference propagation direction of the electric field refers to the standard propagation direction of the electric field under dry conditions. It is obtained through dry-state reference field calibration, that is, the normal propagation direction of the electric field in the touch panel under conditions of no liquid film, no foam, and no surface deposits. Specifically, the system first performs a reference scan on the touch sensing panel in a dry environment and sequentially excites the transmitting and receiving electrodes to obtain the reference coupling response signal in each sensing node. Subsequently, the system establishes the reference electric field propagation vector in the node based on the electric field coupling path between the transmitting and receiving electrodes. For mutual capacitance touch structures, the standard propagation direction is usually determined by the coupling direction from the transmitting electrode to the receiving electrode; for self-capacitance structures, it is determined based on the direction of the electric field diffusing vertically outward from the sensing electrode. The system further combines the spatial coordinate relationship of the sensing nodes to establish direction vectors for the electric field response gradient in consecutive nodes. ,in To transmit electrode position, For the position of the receiving electrode, The reference direction for electric field propagation;

[0123] Based on the propagation path offset distribution, the relationship between the local actual propagation path change and the propagation phase migration in the continuous scanning cycle is analyzed to obtain the propagation phase migration difference and curvature refraction factor.

[0124] Specifically, the propagation path offset distribution is read, and combined with the scanning frequency and electric field propagation velocity, the node propagation phase is established. ,in, This indicates the propagation phase of the node under the current liquid film refraction state, which is used to reflect the propagation timing state of the current electric field propagation signal under the liquid film refraction condition, thereby analyzing whether the propagation path change caused by the micro-meniscus has led to the propagation phase shifting, delaying or reversing. For scanning frequency, Pi; The propagation speed of the electric field is obtained by the propagation speed calibration method based on the mutual capacitance scanning response time difference;

[0125] Subsequently, the phase change relationship in the continuous scanning cycle was further analyzed, and the propagation phase migration difference, that is, the difference between the current propagation phase and the propagation phase at the previous time, was established to represent the direction of change of the current propagation phase in continuous time.

[0126] Since the micromeniscus region in the micromeniscus liquid bridge enhances the refraction of the local propagation path, a curvature refraction factor is established by combining the second-order partial derivative of the liquid film curvature. This factor, through the ratio between the propagation phase shift difference and the second-order partial derivative of the liquid film curvature, reflects the coupling relationship between the current propagation phase change and the enhancement of the local curvature of the liquid film. The larger the value, the stronger the coupling between the current propagation phase change and the enhancement of the local curvature of the liquid film, meaning that the current propagation phase shift is more easily affected by the high curvature structure of the micromeniscus liquid surface. In other words, the more obvious the refraction effect of the current local liquid film curvature on the electric field propagation path, the more likely the propagation path is to undergo abnormal deflection, resulting in a significant shift or even reverse change of the propagation phase in the continuous scanning cycle.

[0127] Based on the propagation phase shift difference and curvature refraction factor, induction nodes that satisfy the phase reversal condition and curvature refraction enhancement condition are selected to establish a phase reversal propagation chain.

[0128] Among them, the phase reversal condition is that the propagation phase migration difference is less than 0. This condition is used to reflect that the propagation phase of the current node has reversed in continuous time, that is, the current propagation path has shown a propagation change opposite to the normal attenuation direction.

[0129] The curvature refraction enhancement condition is that the curvature refraction factor exceeds the preset refraction threshold. This condition is used to ensure that the current phase reversal is not ordinary propagation noise, but an abnormal propagation node caused by the high curvature refraction structure of the micro-lunar liquid bridge.

[0130] Nodes that simultaneously satisfy the phase reversal condition and the curvature refraction enhancement condition are then written into the phase reversal node set. Based on the spatial adjacency relationship, phase migration direction, and curvature propagation extension direction in continuous time, a propagation connection relationship is established between adjacent nodes, ultimately forming a phase reversal propagation chain. This propagation chain is used to reflect the local reverse propagation structure and its spatial propagation path caused by the micro-lunar liquid bridge, and serves as the input basis for abnormal touch signal isolation and dynamic correction analysis.

[0131] This embodiment continuously correlates and analyzes the edge liquid film closed-loop structure, the liquid bridge contraction evolution process, the micro-meniscus curvature change and the propagation phase migration relationship, so that the method can identify abnormal touch propagation from the perspective of how the liquid film interface structure changes the electric field propagation path, instead of judging false touches based solely on abnormal capacitance amplitude or simple propagation noise.

[0132] Since this method first establishes an edge tension imbalance field through the Young-Laplace interface pressure relationship, it can identify in advance whether the edge liquid film has entered the local liquid bridge contraction stage. After the liquid bridge breaks, it further establishes a micro-mensity curvature field through the second-order partial derivative of the liquid film curvature. It can not only identify whether there is a high curvature liquid bridge structure at the liquid film boundary, but also analyze the degree of refraction and stretching of the electric field propagation path and the direction of propagation phase migration caused by the high curvature structure. Therefore, even if some liquid film regions have not yet formed obvious false touches, as long as their local curvature has begun to continuously increase and cause the propagation path to shift, the system can identify in advance that the current region is forming a phase reversal propagation trend.

[0133] Furthermore, since both the propagation phase shift difference and the curvature refractive factor participate in the phase reversal node screening, it is possible to distinguish between ordinary propagation attenuation and reverse propagation caused by micro-meniscus liquid bridges. For example, after a user lightly touches the screen on a rainy day, a small section of meniscus liquid bridge remaining at the edge of the screen is almost invisible to the naked eye. However, because the curvature of the liquid surface in this area has been significantly enhanced, the local propagation path is lengthened, causing the propagation phase to shift in reverse during subsequent scanning cycles. The system will identify this area as a liquid bridge refraction propagation area in advance based on the coupling relationship between the curvature refractive factor and the propagation phase shift difference, thereby isolating it from the normal touch propagation chain before a false click actually occurs in this area.

[0134] In a preferred embodiment of the present invention, S500 includes: reading the pressure response value in the current multi-layer synchronous sensing data, analyzing the propagation relationship between the pressure propagation direction and the pressure diffusion intensity, and obtaining the pressure propagation potential value;

[0135] Specifically, a pressure propagation direction vector is established based on the pressure changes over continuous time to represent the diffusion direction of the current pressure response in continuous space. Then, the consistency relationship of the pressure propagation direction over continuous time is statistically analyzed, and the angle between the current node propagation direction and the overall main pressure propagation direction is calculated. The direction consistency factor is calculated using the cosine of the vector angle to represent the degree of direction consistency between the current node pressure propagation direction and the overall propagation direction.

[0136] Subsequently, the pressure response value is multiplied by the directional consistency factor and accumulated within the current pressure propagation neighborhood to establish a pressure propagation potential value. This potential value indicates whether a continuous, unidirectional, and stable pressure propagation structure exists around the current node. The pressure propagation neighborhood is determined using either the K-nearest neighbor method or the radius neighborhood search method.

[0137] The overall pressure propagation principal direction refers to the overall migration direction of pressure diffusion, which is obtained by statistically analyzing the pressure propagation direction vector over continuous time.

[0138] Extract sensing nodes whose pressure propagation potential exceeds the preset pressure propagation threshold to form a high pressure propagation area, and calculate the pressure propagation center, i.e. the spatial centroid of the current pressure propagation field, to verify whether there is real touch support in phase propagation.

[0139] Based on the phase reversal propagation chain, the centroid of the phase propagation chain is calculated, and combined with the pressure propagation center, the continuous spatial offset relationship between the pressure propagation structure and the phase propagation structure is analyzed to obtain the offset integral.

[0140] Specifically, the Euclidean distance between the current pressure propagation center and the centroid of the phase propagation chain is calculated to reflect the degree of spatial deviation between the current true pressure propagation center and the abnormal phase propagation center.

[0141] Since real touch usually keeps the pressure propagation center and the phase propagation center synchronized, while the phase propagation in liquid film accidental touch often lacks real pressure support, the offset integral is obtained by integrating the offset over continuous time to reflect the overall deviation between the pressure propagation structure and the phase propagation structure over continuous time.

[0142] The centroid of the phase propagation chain is the overall spatial center of the current anomalous phase backpropagation structure;

[0143] When the phase reversal propagation chain continues to propagate and the offset integral continues to increase, it indicates that the current phase reversal propagation chain lacks synchronous support from real pressure propagation. In this case, the current area is identified as a liquid film mis-touch area, and a liquid film mis-touch isolation state is established. Conversely, when the pressure propagation center and the centroid of the phase propagation chain gradually re-coincide, i.e., the offset integral tends to 0, it indicates that the current propagation structure has re-synchronized with the real touch pressure propagation. In this case, the current liquid film mis-touch isolation state is released.

[0144] The liquid film accidental touch isolation state is used to block the abnormal phase propagation results in the liquid film accidental touch area from participating in touch event generation; the continuous state here contains at least two consecutive states;

[0145] The fact that the phase reversal propagation chain continues to propagate means that during continuous scanning cycles, the abnormal phase reversal nodes caused by the micro-lunar liquid bridge do not disappear randomly, but continue to exist along the same spatial propagation direction and form a continuous propagation structure. In other words, the phase reversal nodes in adjacent time slices still satisfy the spatial adjacency relationship, the consistency of the phase migration direction, and the propagation continuation relationship, thus indicating that the current abnormal propagation is not instantaneous noise, but a stable reverse propagation process formed under the continuous action of the liquid film refraction structure.

[0146] Because this method jointly models the consistency of pressure propagation direction, the continuity of pressure diffusion, and the center of pressure propagation, the pressure propagation formed by real touch will maintain stable diffusion in continuous space. However, the phase reversal propagation in liquid film accidental touch usually only has propagation path refraction, but lacks corresponding synchronous pressure propagation. Therefore, when the phase reversal propagation chain continues to exist but the center of pressure propagation gradually deviates from the centroid of the phase propagation chain, this method can identify that the current abnormal propagation has broken away from the support of real touch and enter the liquid film accidental touch isolation state in advance.

[0147] Furthermore, since the offset integral is established using continuous-time integration, this method will not misjudge due to short-term pressure fluctuations in a single scan. Instead, it can analyze whether abnormal propagation lacks real pressure synchronization for a long period of time. For example, after a user completes a click in a humid environment, the residual micro-meniscus liquid bridge at the edge may continue to cause local phase reverse propagation. However, since the real press has ended, the pressure propagation center will disappear quickly, while the phase propagation chain continues to migrate along the edge. At this time, the system can identify in advance that the current propagation is a liquid film accidental touch propagation rather than a real secondary click based on the trend of the offset integral continuously increasing. Thus, it can block the propagation chain from participating in the generation of new touch events before the user notices the abnormality. Therefore, this implementation can not only identify the liquid film accidental touch that has already been formed, but also dynamically isolate the implicit reverse propagation structure that has lost real pressure synchronization but continues to propagate.

[0148] like Figure 2 As shown, embodiments of the present invention also provide a layered signal processing touch detection system for waterproof environments, comprising:

[0149] The data acquisition subsystem is used to synchronously collect multi-layer synchronous sensing data of sensing nodes in a waterproof environment, construct the liquid film thickness field and liquid film propagation potential field, and generate a liquid film propagation state base map by continuously recording the liquid film propagation potential field in multiple time slices.

[0150] The data processing subsystem is used to identify abnormal propagation nodes based on the liquid film propagation state base map, rearrange all abnormal propagation nodes according to spatial coordinates to generate a propagation potential deviation field, and integrate and accumulate the propagation deviation energy over a continuous time period through the propagation potential deviation field to obtain the residual inertial accumulation. The residual inertial accumulation is analyzed to generate a residual propagation topology map by analyzing the consistency between the residual inertial accumulation and the propagation direction.

[0151] The edge retraction subsystem is used to analyze the liquid film edge retraction trend and liquid film volume redistribution relationship through the afterimage propagation topology map, and generate a closed-loop topology map.

[0152] The liquid bridge fracture and phase reversal subsystem is used to establish the edge tension imbalance field based on the closed-loop topology diagram, and generate the curvature field of the micro-curved meniscus through liquid bridge contraction analysis and curvature partial derivative analysis. Combined with the liquid film thickness field and dry reference propagation path, the propagation path offset distribution is identified, and the propagation phase migration relationship is analyzed to generate the phase reversal propagation chain, which is used to reflect the local reverse propagation structure and its spatial propagation path caused by the liquid bridge of the micro-curved meniscus.

[0153] The touch verification module subsystem is used to perform touch verification based on the phase reversal propagation chain and combined with multi-layer synchronous sensing data to determine the authenticity of touch events.

[0154] It should be noted that this system is a system corresponding to the above method. All implementation methods in the above method embodiments are applicable to this embodiment and can achieve the same technical effect.

[0155] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A layered signal processing touch detection method in a waterproof environment, characterized by, The method includes: Multi-layer synchronous sensing data of sensing nodes are collected simultaneously in a waterproof environment to construct the liquid film thickness field and liquid film propagation potential field. By continuously recording the liquid film propagation potential field in multiple time slices, a liquid film propagation state base map is generated. Based on the liquid film propagation state base map, abnormal propagation nodes are identified, and all abnormal propagation nodes are rearranged according to spatial coordinates to generate a propagation potential deviation field. The propagation deviation energy over a continuous time period is integrated and accumulated using the propagation potential deviation field to obtain the residual inertia accumulation. The consistency analysis of the residual inertia accumulation and the propagation direction generates a residual propagation topology map. The residual inertia accumulation is used to measure the abnormal inertia of the propagation residual of the current node. The residual refers to the propagation residue of the liquid film that does not disappear normally after the touch ends. By analyzing the liquid film edge retraction trend and liquid film volume redistribution relationship through the afterimage propagation topology, a closed-loop topology is generated. An edge tension imbalance field is established based on a closed-loop topology diagram. A micro-mensity curvature field is generated through liquid bridge contraction analysis and curvature partial derivative analysis. Combined with the liquid film thickness field and the dry-state reference propagation path, the propagation path offset distribution is identified, and the propagation phase migration relationship is analyzed to generate a phase reversal propagation chain, which is used to reflect the local reverse propagation structure and its spatial propagation path caused by the micro-mensity liquid bridge. Touch verification is performed based on the phase reversal propagation chain and combined with multi-layer synchronous sensing data to determine the authenticity of the touch event.

2. The layered signal processing touch detection method in a waterproof environment according to claim 1, characterized in that, The process of constructing the liquid film thickness field and the base map of liquid film propagation states includes: After the touching or wiping action ends, multi-layer synchronous sensing data is collected simultaneously, and the local equivalent dielectric constant and the local thickness distribution of the liquid film are inferred from the changes in capacitive coupling in order to construct the liquid film thickness field. Based on the liquid film thickness field, by establishing the liquid film mass conservation relationship and analyzing the migration trend of liquid film thickness in space, the liquid film flow direction is inferred from the thickness change over continuous time, and the liquid film flow direction corresponding to all sensing nodes is combined into a liquid film flow direction field, which is used to characterize the redistribution path of the liquid film from the central region to the edge region. By multiplying the liquid film thickness by the corresponding local equivalent dielectric constant, the liquid film propagation potential field is obtained, and a liquid film propagation state basis diagram is generated. The liquid film propagation state basis diagram is used to describe the evolution of the liquid film propagation influence in continuous time.

3. The layered signal processing touch detection method in a waterproof environment according to claim 2, characterized in that, Based on the liquid film propagation state base map, abnormal propagation nodes are identified, and all abnormal propagation nodes are rearranged according to spatial coordinates to generate a propagation potential deviation field. The propagation deviation energy over a continuous time period is integrated and accumulated using this field to obtain the residual inertial accumulation. Consistency analysis between the residual inertial accumulation and the propagation direction generates a residual propagation topology map, including: Based on the liquid film propagation state baseline, by analyzing the degree of deviation of the liquid film propagation potential from the theoretical release model over continuous time, we can identify whether the current region has deviated from the normal propagation and release law and generate a propagation potential deviation field. Based on the propagation potential deviation field, the propagation deviation energy is integrated and accumulated over a continuous time period. Combined with the neighborhood connectivity relationship analysis, the continuous distribution of liquid film afterimage in space is analyzed. Sensing nodes with continuously enhanced integration accumulation, spatial proximity, consistent propagation direction, and continuous duration are aggregated into regions to obtain the afterimage propagation chain, which is used to reflect the continuous migration trend of liquid film propagation tail in the time dimension. Based on the afterimage propagation chain, by analyzing the overall migration trajectory and edge approach trend of the afterimage propagation chain in continuous time, the Euclidean distance between the edge endpoints of different afterimage propagation chains is calculated to establish the afterimage propagation topology and obtain the afterimage propagation topology map for edge loop formation analysis.

4. The layered signal processing touch detection method in a waterproof environment according to claim 3, characterized in that, Based on the liquid film propagation state baseline, by analyzing the degree of deviation of the liquid film propagation potential from the theoretical release model over continuous time, it identifies whether the current region has deviated from the normal propagation and release law, and generates a propagation potential deviation field, including: Locate the liquid film propagation release starting point corresponding to the end of the touch, and extract the propagation potential distribution of each sensing node in the liquid film propagation state base map at the start of the release stage to obtain the initial propagation potential set of the nodes. The initial propagation potential set of the nodes includes the current liquid film propagation potential of each sensing node in the liquid film propagation potential field. Based on the initial propagation potential set of nodes, the propagation attenuation law of sensing nodes under normal release conditions is analyzed, a theoretical release model is established, and theoretical release propagation potentials in several sampling periods are obtained. These potentials are then sorted in chronological order to obtain a theoretical release propagation potential sequence. Read the liquid film propagation potential field in the liquid film propagation state base map, and use the absolute difference between it and the theoretical release propagation potential sequence as the afterimage deviation amount to obtain the afterimage deviation amount set for trailing detection. The afterimage deviation amount set includes the afterimage deviation amount at different sensing nodes. Based on the set of afterimage deviations, by analyzing the relationship between the degree of deviation of the propagation potential of the sensing node and the excess of the actual propagation potential relative to the theoretical release propagation potential, it is possible to identify whether the current region has deviated from the normal propagation and release pattern. If it has deviated, the corresponding sensing node is regarded as an abnormal propagation node. Based on the abnormal propagation nodes, a propagation potential deviation field is generated to identify areas in the current panel where abnormal liquid film propagation residues still exist.

5. The layered signal processing touch detection method in a waterproof environment according to claim 4, characterized in that, By analyzing the afterimage propagation topology, the trend of liquid film edge retraction and the relationship of liquid film volume redistribution are analyzed, and a closed-loop topology is generated, including: Based on the afterimage propagation topology, the gradient enhancement trend of the liquid film thickness field in continuous space is analyzed to obtain the spatial gradient modulus. Combined with the liquid film flow direction field, it is analyzed whether the current liquid film is shrinking and migrating towards the edge to obtain the shrinkage angle. If the spatial gradient magnitude exceeds the preset magnitude threshold and the retraction angle does not exceed the preset retraction threshold, the corresponding sensing node will be included in the dynamic edge aggregation region. The dynamic edge aggregation region refers to the set of real-time edge regions where the liquid film is continuously migrating to the edge and liquid film accumulation occurs. By analyzing the volume migration relationship of the liquid film through the dynamic edge aggregation region, the migration ratio is obtained. When the migration ratio is positive and the dynamic edge aggregation region continuously expands along the screen edge direction, a liquid film redistribution chain is generated. The liquid film redistribution chain refers to the continuous volume distribution evolution structure formed when the liquid film continuously migrates from the central region to the edge in a continuous time. Based on the liquid film redistribution chain and migration ratio, the closed-loop connection relationship between edge high-thickness nodes and the continuous expansion trend of the central cavity are analyzed. A ring-shaped closed-loop connection structure is established, and a closed-loop topology diagram for the formation analysis of micro-lunar liquid bridges is obtained.

6. The layered signal processing touch detection method in a waterproof environment according to claim 5, characterized in that, An edge tension imbalance field is established based on a closed-loop topology diagram, and a micro-curved meniscus curvature field is generated through liquid bridge contraction analysis and curvature partial derivative analysis, including: Extract the high-thickness connected nodes at the inner edge of the closed-loop topology graph, and combine them with the liquid film thickness field to analyze the changes in liquid film curvature and interface pressure distribution in the closed-loop boundary region. Obtain the local pressure, and take the boundary region where the local pressure difference exceeds the preset pressure difference threshold as the edge tension imbalance region to obtain the edge tension imbalance field, which is used to indicate whether the liquid film tension in the current closed-loop boundary has become locally unstable. Based on the edge tension imbalance field, the shrinkage change relationship of the local liquid film thickness in continuous time is analyzed, a continuous connection structure of liquid bridge shrinkage is established, and a liquid bridge fracture judgment chain is obtained. The liquid bridge fracture judgment chain refers to the continuous evolution path of liquid bridge shrinkage that is continuously occurring in the liquid film boundary. The second-order partial derivative of liquid film curvature is performed on the corresponding region within the liquid bridge fracture judgment chain. The region that satisfies the second-order partial derivative of liquid film curvature exceeding the preset threshold is defined as the micro-meniscus liquid surface region. Combined with the continuous fracture direction in the liquid bridge fracture judgment chain, the continuous micro-meniscus liquid surface region is mapped into a micro-meniscus curvature field, which is used to reflect the spatial distribution state of local micro-meniscus liquid bridges and the degree of curvature enhancement in the current liquid film boundary.

7. The layered signal processing touch detection method in a waterproof environment according to claim 6, characterized in that, Identify the propagation path offset distribution and analyze the propagation phase migration relationship to generate a phase reversal propagation chain, including: Based on the refraction relationship between the liquid film thickness and the curvature direction of the liquid surface in the micro-menu curvature field, the local actual propagation path length is obtained. Combined with the dry reference propagation path, the difference between the current local actual propagation path and the dry reference propagation path is calculated to obtain the propagation path offset of the current sensing node under the refraction condition of the micro-menu liquid surface. The propagation path offset in continuous time is mapped to the propagation path offset distribution, which is used to reflect the overall deflection effect of the micro-meniscus on the electric field propagation path in space. Based on the propagation path offset distribution, the propagation phase migration relationship of the local actual propagation path change in the continuous scanning cycle is analyzed. The propagation phase migration difference is obtained by difference calculation. The ratio between the propagation phase migration difference and the second partial derivative of the liquid film curvature is used as the curvature refraction factor to reflect the coupling relationship between the current propagation phase change and the local curvature enhancement of the liquid film. Based on the propagation phase shift difference and curvature refraction factor, the continuous propagation path formed by the sensing nodes that continuously undergo phase reversal in a continuous time is taken as the phase reversal propagation chain. The sensing nodes that undergo phase reversal refer to the sensing nodes that satisfy the phase reversal condition and the curvature refraction enhancement condition. The phase reversal condition is that the propagation phase shift difference is less than 0, and the curvature refraction enhancement condition is that the curvature refraction factor exceeds the preset refraction threshold.

8. The layered signal processing touch detection method in a waterproof environment according to claim 7, characterized in that, Perform touch verification to determine the authenticity of touch events, including: Read the pressure response value in the current multi-layer synchronous sensing data, analyze the propagation relationship between the pressure propagation direction and the pressure diffusion intensity, and jointly accumulate the pressure response value of each sensing node in the neighborhood with the degree of consistency of the corresponding direction to obtain the pressure propagation potential value, which is used to reflect the strength of the continuity of real pressure propagation around the current sensing node. Extract sensing nodes whose pressure propagation potential exceeds a preset pressure propagation threshold to form a high pressure propagation region, and calculate the pressure propagation center; Based on the phase reversal propagation chain, the centroid of the phase propagation chain is calculated, and combined with the pressure propagation center, the offset between the pressure propagation center and the centroid of the phase propagation chain is calculated. The continuous spatial offset relationship between the pressure propagation structure and the phase propagation structure is analyzed. The offset in continuous time is integrated to obtain the offset integral, which reflects the overall degree of deviation between the pressure propagation structure and the phase propagation structure in continuous time. When the phase reversal propagation chain continues to propagate and the offset integral continues to increase, the current area is determined to be the liquid film accidental touch area, and a liquid film accidental touch isolation state is established; conversely, when the pressure propagation center and the centroid of the phase propagation chain gradually re-coincide, the current liquid film accidental touch isolation state is lifted. The liquid film accidental touch isolation state refers to the dynamic isolation state that prevents abnormal propagation of the liquid film from continuing to participate in the generation of real touch events.

9. A layered signal processing touch detection system for a waterproof environment, used to implement the layered signal processing touch detection method for a waterproof environment as described in any one of claims 1 to 8, characterized in that, include: The data acquisition subsystem is used to synchronously collect multi-layer synchronous sensing data of sensing nodes in a waterproof environment, construct the liquid film thickness field and liquid film propagation potential field, and generate a liquid film propagation state base map by continuously recording the liquid film propagation potential field in multiple time slices. The data processing subsystem is used to identify abnormal propagation nodes based on the liquid film propagation state base map, rearrange all abnormal propagation nodes according to spatial coordinates to generate a propagation potential deviation field, and integrate and accumulate the propagation deviation energy over a continuous time period through the propagation potential deviation field to obtain the residual inertial accumulation. The residual inertial accumulation is analyzed to generate a residual propagation topology map by analyzing the consistency between the residual inertial accumulation and the propagation direction. The edge retraction subsystem is used to analyze the liquid film edge retraction trend and liquid film volume redistribution relationship through the afterimage propagation topology map, and generate a closed-loop topology map. The liquid bridge fracture and phase reversal subsystem is used to establish the edge tension imbalance field based on the closed-loop topology diagram, and generate the curvature field of the micro-curved meniscus through liquid bridge contraction analysis and curvature partial derivative analysis. Combined with the liquid film thickness field and dry reference propagation path, the propagation path offset distribution is identified, and the propagation phase migration relationship is analyzed to generate the phase reversal propagation chain, which is used to reflect the local reverse propagation structure and its spatial propagation path caused by the liquid bridge of the micro-curved meniscus. The touch verification module subsystem is used to perform touch verification based on the phase reversal propagation chain and combined with multi-layer synchronous sensing data to determine the authenticity of touch events.

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