A touch screen touch sensitivity fault diagnosis system

Abstract

This invention relates to the field of touchscreen testing technology and provides a touchscreen sensitivity fault diagnosis system, comprising: a touch signal acquisition unit for acquiring the response signal of the touchscreen in a preset touch mode; an environmental parameter monitoring unit, communicatively connected to the touch signal acquisition unit, for acquiring the physical parameters of the environment in which the touchscreen is located; a benchmark database for storing benchmark response parameters of the touchscreen in a standard environment; and an intelligent diagnosis unit, communicatively connected to the touch signal acquisition unit, the environmental parameter monitoring unit, and the benchmark database, for generating fault diagnosis results based on the response signal, environmental parameters, and benchmark response parameters. This invention, by setting up a multi-mode touch signal acquisition module, an environmental parameter monitoring module, a benchmark database, and an intelligent diagnosis unit, achieves rapid location and type identification of touchscreen sensitivity faults, solving the problems of low diagnostic efficiency and insufficient accuracy of traditional diagnostic methods.

Description

Technical Field

[0001] This utility model relates to the field of touch screen testing technology, specifically a touch screen touch sensitivity fault diagnosis system. Background Technology

[0002] Touchscreens, as a core component of human-computer interaction, are widely used in devices such as smartphones, tablets, and industrial control terminals. Touch sensitivity is a key indicator of touchscreen performance, and its malfunctions (such as response delay, accidental touches, and partial unresponsiveness) directly affect the user experience.

[0003] Current touchscreen fault diagnosis methods mainly rely on manual operation: technicians determine the fault type by manually testing the touch screen and combining it with experience, or they use a single signal detector for localized testing. These methods have the following drawbacks: Relying on human experience, the accuracy of diagnosis is greatly affected by the operator's skill. It can only detect surface faults and cannot distinguish between hardware (such as electrode damage) and software (such as driver malfunction) causes; The failure to consider the impact of environmental factors (such as temperature and humidity) on touch sensitivity can easily lead to misjudgment. The testing efficiency is low, making it unsuitable for mass production or large-scale after-sales maintenance scenarios.

[0004] Therefore, in view of the above situation, there is an urgent need to provide a touch screen touch sensitivity fault diagnosis system to overcome the shortcomings in current practical applications. Utility Model Content

[0005] The purpose of this invention is to provide a touch screen sensitivity fault diagnosis system, which aims to solve the problems mentioned in the background art.

[0006] This utility model is implemented as follows: a touch screen touch sensitivity fault diagnosis system, comprising: A touch signal acquisition unit is used to acquire the response signal of the touch screen in a preset touch mode; An environmental parameter monitoring unit is communicatively connected to a touch signal acquisition unit and is used to collect the physical parameters of the environment in which the touch screen is located. A benchmark database, which stores benchmark response parameters of the touchscreen under standard conditions; The intelligent diagnostic unit is communicatively connected to the touch signal acquisition unit, the environmental parameter monitoring unit, and the benchmark database, and is used to generate fault diagnosis results based on the response signal, environmental parameters, and benchmark response parameters.

[0007] As a further embodiment of this utility model: the touch signal acquisition unit includes: A mechanical touch module, comprising an adjustable pressure touch probe and a displacement sensor, for simulating touch operations of different force. The capacitor simulation module is used to output an analog capacitor signal of a preset frequency to the sensing layer of the touch screen; The signal conditioning module is connected to both the mechanical touch module and the capacitor analog module, and is used to filter and amplify the acquired response signal.

[0008] As a further embodiment of this utility model: the environmental parameter monitoring unit includes a temperature sensor, a humidity sensor, and an electromagnetic interference detector, and the physical parameters include ambient temperature, relative humidity, and electromagnetic interference intensity.

[0009] As a further embodiment of this utility model: the intelligent diagnostic unit includes: The data preprocessing module is used to standardize the response signals and environmental parameters; The deviation analysis module is used to calculate the deviation between the processed response signal and the reference response parameters. The fault matching module generates diagnostic results based on the matching results of the deviation value and environmental parameters with a preset fault feature library.

[0010] As a further embodiment of this invention, the intelligent diagnostic unit further includes a fault classification module, which is connected to the fault matching module and is used to classify the diagnostic results into three levels: minor fault, moderate fault, and severe fault, according to the degree of fault impact.

[0011] As a further embodiment of this utility model, it also includes a display interaction unit connected to the intelligent diagnostic unit, used to display diagnostic results and receive detection parameters input by the user. The display interaction unit includes a touch screen and an audible and visual alarm.

[0012] As a further embodiment of this invention: the mechanical touch module further includes a multi-axis moving platform, and the touch probe is mounted on the multi-axis moving platform and can move along the X-axis, Y-axis and Z-axis directions of the touch screen.

[0013] As a further aspect of this utility model: the benchmark database also stores response compensation coefficients under different environmental parameters; The intelligent diagnostic unit corrects the response signal by calling the corresponding compensation coefficient based on the environmental parameters.

[0014] As a further aspect of this utility model: the fault feature library includes hardware fault features and software fault features.

[0015] As a further embodiment of this invention, a data transmission unit is also included, which is connected to the intelligent diagnostic unit and is used to upload the diagnostic results to a cloud server. The data transmission unit supports wired Ethernet or wireless Wi-Fi communication.

[0016] Compared with the prior art, the beneficial effects of this utility model are as follows: This invention achieves a comprehensive upgrade in touchscreen sensitivity fault diagnosis through multi-mode touch signal acquisition (combining mechanical pressing and capacitive simulation), real-time environmental parameter monitoring and compensation, precise matching of hardware and software fault feature databases, and intelligent hierarchical processing. It effectively overcomes the limitations of traditional methods that rely on human experience and have a single diagnostic dimension, accurately distinguishing between hardware and software faults and avoiding misjudgments caused by environmental factors. The fully automated testing process significantly improves efficiency and is suitable for large-scale production and after-sales maintenance scenarios. It is compatible with multiple types of touchscreens, including resistive, capacitive, and infrared touchscreens, and can operate stably in complex environments. Furthermore, it supports testing of various device models through a benchmark database. By implementing mechanisms for automatic repair of minor faults, precise location of moderate faults, and graded early warning of severe faults, it reduces the cost of manual intervention. Combined with cloud data management, it achieves full lifecycle quality control, balancing diagnostic accuracy, scenario adaptability, and practicality and economy, comprehensively outperforming traditional diagnostic solutions. Attached Figure Description

[0017] To more clearly illustrate the specific embodiments of this utility model or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this utility model. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a system architecture diagram of the present invention.

[0019] Figure 2 This is a schematic diagram of the touch signal acquisition unit in this utility model.

[0020] Figure 3 This is a diagram of the architecture of the environmental parameter monitoring unit in this utility model.

[0021] Figure 4 This is a diagram of the architecture of the intelligent diagnostic unit in this utility model.

[0022] Figure 5 This is an architectural diagram of the display interaction unit in this utility model. Detailed Implementation

[0023] The technical solution of this utility model will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this utility model. Based on the embodiments of this utility model, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this utility model.

[0024] In the description of this utility model, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art will understand the specific meaning of the above terms in this utility model according to the specific circumstances.

[0025] The specific implementation of this utility model will be described in detail below with reference to specific embodiments.

[0026] Please see Figures 1-5 This utility model provides a touch screen touch sensitivity fault diagnosis system, which includes: A touch signal acquisition unit 100 is used to acquire the response signal of the touch screen in a preset touch mode; The touch signal acquisition unit 100 includes: The mechanical touch module 110 includes an adjustable pressure touch probe 111 and a displacement sensor 112, which are used to simulate touch operations of different strengths. The capacitor simulation module 120 is used to output an analog capacitor signal of a preset frequency to the sensing layer of the touch screen. The signal conditioning module 130 is connected to the mechanical touch module 110 and the capacitor analog module 120 respectively, and is used to filter and amplify the acquired response signal.

[0027] The mechanical touch module 110 also includes a multi-axis moving platform 113, on which the touch probe 111 is mounted and can move along the X-axis, Y-axis and Z-axis of the touch screen.

[0028] An environmental parameter monitoring unit 200 is communicatively connected to a touch signal acquisition unit 100 and is used to collect physical parameters of the environment in which the touch screen is located. The environmental parameter monitoring unit 200 includes a temperature sensor 210, a humidity sensor 220, and an electromagnetic interference detector 230. The physical parameters include ambient temperature, relative humidity, and electromagnetic interference intensity.

[0029] A benchmark database 300 stores benchmark response parameters of the touchscreen under standard conditions; The intelligent diagnostic unit 400 is communicatively connected to the touch signal acquisition unit 100, the environmental parameter monitoring unit 200, and the benchmark database 300, and is used to generate fault diagnosis results based on the response signal, environmental parameters, and benchmark response parameters.

[0030] The intelligent diagnostic unit 400 includes: The data preprocessing module 410 is used to standardize the response signal and environmental parameters; Deviation analysis module 420 is used to calculate the deviation value between the processed response signal and the reference response parameters; The fault matching module 430 generates a diagnostic result based on the matching result of the deviation value and environmental parameters with the preset fault feature library 431.

[0031] The intelligent diagnostic unit 400 also includes a fault classification module 440, which is connected to the fault matching module 430 and is used to classify the diagnostic results into three levels: minor fault, moderate fault, and severe fault according to the degree of fault impact.

[0032] During testing, the multi-axis moving platform 113 of the mechanical touch module 110 drives the touch probe 111 to apply 0.5N, 1N, and 2N pressures to preset detection points on the touchscreen, such as points in the 9-point calibration method. The displacement sensor 112 records the contact depth and simultaneously acquires the response time. The capacitance simulation module 120 outputs a 500kHz standard capacitance signal and acquires the output voltage of the touchscreen. The environmental parameter monitoring unit 200 acquires temperature, humidity, and electromagnetic interference data in real time. The intelligent diagnostic unit 400 calls the reference parameters of the corresponding model in the reference database 300, combines them with the environmental compensation coefficient to correct the actual response signal, calculates the deviation rate, matches it with the fault feature library 431, and generates diagnostic results.

[0033] In this embodiment of the invention, the touch probe 111 is made of conductive silicone with a Shore hardness of 50±5 and a diameter of 3mm (simulating the touch point size of an adult finger); the displacement sensor 112 is a laser displacement sensor with a measurement range of 0-10mm, meeting the detection requirements of touch screen pressure deformation; the temperature sensor 210 is a DS18B20 digital temperature sensor, supporting measurement from -55℃ to 125℃, adapting to extreme environments; the electromagnetic interference detector 230 uses a spectrum analyzer module, which can capture electromagnetic interference signals within the touch screen's operating frequency band (such as interference from mobile phone signals to vehicle touch screens); the intelligent diagnostic unit 400 is based on an ARM Cortex-A9 processor with a main frequency of 1.2GHz, ensuring data processing latency ≤100ms; the benchmark database 300 uses an SQLite embedded database, supporting offline storage of more than 1000 kinds of touch screen benchmark parameters, meeting on-site testing requirements. The mechanical touch module 110 drives the touch probe 111 via the multi-axis moving platform 113, which can apply adjustable pressure of 0.1N-5N at different positions on the touch screen surface. The displacement sensor 112 records the probe contact depth to simulate the user's finger pressing operation. The capacitance simulation module 120 outputs an adjustable frequency capacitance signal of 1kHz-1MHz to simulate human capacitive touch, which is suitable for capacitive touch screen detection. The signal conditioning module 130 filters and amplifies the acquired voltage / current response signal to improve the signal-to-noise ratio.

[0034] The environmental parameter monitoring unit 200 synchronously collects the temperature, humidity and electromagnetic interference intensity of the environment in which the touch screen is located, in order to analyze the impact of environmental factors on touch sensitivity.

[0035] The benchmark database 300 pre-stores benchmark response parameters for different touchscreen models under standard conditions, including: pressure-response time curves, capacitance signal-output voltage correspondence, and consistency parameters for touch at different positions. It also stores an environmental compensation coefficient table, such as the response time correction value corresponding to a 10°C temperature change.

[0036] The data preprocessing module 410 converts the collected response signals and environmental parameters into standardized data; the deviation analysis module 420 calculates the deviation value between the actual response parameters and the reference parameters; the fault matching module 430 compares the deviation value with the fault feature library 431. For example, if the pressure-response time deviation rate in a local area is >30% and other areas are normal, a "local electrode damage" fault is matched; if the response time in the entire area increases significantly with the temperature, a "temperature compensation algorithm failure" fault is matched; the fault classification module 440 classifies the fault according to the degree of impact on use, such as minor fault, moderate fault, and severe fault.

[0037] In one embodiment of this utility model, please refer to Figure 1 and Figure 5It also includes a display interaction unit 500 connected to the intelligent diagnostic unit 400, used to display diagnostic results and receive detection parameters input by the user. The display interaction unit 500 includes a touch screen 510 and an audible and visual alarm 520. The benchmark database 300 also stores response compensation coefficients under different environmental parameters; The intelligent diagnostic unit 400 corrects the response signal by calling the corresponding compensation coefficient according to the environmental parameters; The fault feature library 431 includes hardware fault features (such as short circuit of touch electrode, poor lead contact) and software fault features (such as abnormal driver, offset of calibration parameters).

[0038] In this embodiment, the touch screen 510 is used to display diagnostic data and fault location distribution map, and the audible and visual alarm 520 indicates the fault level through different lights and sounds, and supports users to manually input parameters such as touch screen model and detection area.

[0039] In one embodiment of this utility model, a data transmission unit 600 is further included, which is connected to the intelligent diagnostic unit 400 and is used to upload diagnostic results to a cloud server 700. The data transmission unit 600 supports wired Ethernet or wireless Wi-Fi communication.

[0040] In this embodiment, the diagnostic results are uploaded to the cloud server 700 via Ethernet or Wi-Fi to achieve data statistical analysis and remote monitoring.

[0041] In summary, the working principle of this utility model is as follows: The touch signal acquisition unit 100 simulates various touch operations through the touch probe 111 of the mechanical touch module 110 and the capacitance simulation module 120 to acquire the response signal of the touch screen. After processing by the signal conditioning module 130, the signal is transmitted to the intelligent diagnostic unit 400. At the same time, the temperature sensor 210, humidity sensor 220 and electromagnetic interference detector 230 of the environmental parameter monitoring unit 200 acquire the environmental parameters of the touch screen and send them to the intelligent diagnostic unit 400. The intelligent diagnostic unit 400 calls the standard environmental benchmark response parameters in the benchmark database 300, combines the environmental parameters to correct and analyze the deviation of the acquired response signal, and then compares it with the fault feature library 431 through the fault matching module 430 to generate a diagnostic result. After being classified by the fault classification module 440, the result is displayed by the display interaction unit 500 and can be uploaded to the cloud server 700 through the data transmission unit 600.

[0042] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this utility model, and are not intended to limit it. Although the utility model has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this utility model.

Claims

1. A touchscreen touch sensitivity fault diagnosis system, characterized in that, include: A touch signal acquisition unit (100) is used to acquire the response signal of the touch screen in a preset touch mode; An environmental parameter monitoring unit (200) is communicatively connected to a touch signal acquisition unit (100) and is used to collect physical parameters of the environment in which the touch screen is located. A benchmark database (300) stores benchmark response parameters of the touchscreen under standard conditions; The intelligent diagnostic unit (400) is communicatively connected to the touch signal acquisition unit (100), the environmental parameter monitoring unit (200), and the benchmark database (300), and is used to generate fault diagnosis results based on the response signal, environmental parameters, and benchmark response parameters.

2. The touchscreen sensitivity fault diagnosis system according to claim 1, characterized in that, The touch signal acquisition unit (100) includes: The mechanical touch module (110) includes an adjustable pressure touch probe (111) and a displacement sensor (112) for simulating touch operations of different strengths; The capacitor analog module (120) is used to output an analog capacitor signal of a preset frequency to the sensing layer of the touch screen; The signal conditioning module (130) is connected to the mechanical touch module (110) and the capacitor simulation module (120) respectively, and is used to filter and amplify the acquired response signal.

3. The touchscreen sensitivity fault diagnosis system according to claim 1, characterized in that, The environmental parameter monitoring unit (200) includes a temperature sensor (210), a humidity sensor (220), and an electromagnetic interference detector (230). The physical parameters include ambient temperature, relative humidity, and electromagnetic interference intensity.

4. The touchscreen sensitivity fault diagnosis system according to claim 1, characterized in that, The intelligent diagnostic unit (400) includes: The data preprocessing module (410) is used to standardize the response signal and environmental parameters; The deviation analysis module (420) is used to calculate the deviation between the processed response signal and the reference response parameters; The fault matching module (430) generates a diagnostic result based on the matching result of the deviation value and environmental parameters with the preset fault feature library (431).

5. The touchscreen sensitivity fault diagnosis system according to claim 4, characterized in that, The intelligent diagnostic unit (400) also includes a fault classification module (440), which is connected to the fault matching module (430) and is used to classify the diagnostic results into three levels: minor fault, moderate fault and severe fault according to the degree of fault impact.

6. The touchscreen sensitivity fault diagnosis system according to claim 1, characterized in that, It also includes a display interaction unit (500) connected to the intelligent diagnostic unit (400) for displaying diagnostic results and receiving detection parameters input by the user. The display interaction unit (500) includes a touch screen (510) and an audible and visual alarm (520).

7. The touchscreen sensitivity fault diagnosis system according to claim 2, characterized in that, The mechanical touch module (110) also includes a multi-axis moving platform (113), on which the touch probe (111) is mounted and can move along the X-axis, Y-axis and Z-axis of the touch screen.

8. The touchscreen sensitivity fault diagnosis system according to claim 1, characterized in that, The benchmark database (300) also stores response compensation coefficients under different environmental parameters; The intelligent diagnostic unit (400) corrects the response signal by calling the corresponding compensation coefficient according to the environmental parameters.

9. The touchscreen sensitivity fault diagnosis system according to claim 4, characterized in that, The fault feature library (431) includes hardware fault features and software fault features.

10. The touchscreen sensitivity fault diagnosis system according to claim 1, characterized in that, It also includes a data transmission unit (600) connected to the intelligent diagnostic unit (400) for uploading diagnostic results to a cloud server (700). The data transmission unit (600) supports wired Ethernet or wireless Wi-Fi communication.

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