Method and system for improving yield in touch screen production process

Abstract

The invention discloses a method and a system for improving the yield in a touch screen production process, and relates to the technical field of electric digital data processing. Comprising the steps of obtaining production instruction data, and extracting a yield improvement range based on the production instruction data; and obtaining production data, wherein the production data comprises environmental data in the touch screen production process, attribute data of the touch screen and process data of touch screen production. According to the method, the dynamic input model is constructed, so that when the yield of the touch screen is adjusted and improved, key parameters in the production process can be monitored and adjusted in real time, and therefore it is ensured that the production environment and the technological conditions are always in the optimal state; the synchronism and the stability in the data transmission process are remarkably improved, production errors caused by transmission delay are reduced, and the yield in the touch screen production process is indirectly guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and in particular to a method and system for improving the yield rate in a touch screen production process. Background Art

[0002] In the production process of touch screens, the yield rate directly affects the production cost and product quality. At present, the main problems in the production process of touch screens include: raw material defects, unstable production environment, equipment aging, uneven operator skills, etc. These problems lead to fluctuations in the yield rate of touch screen production, increase the production cost of the enterprise, and reduce market competitiveness. Therefore, a method and system for improving the yield rate of the touch screen production process is needed.

[0003] After searching, the Chinese invention patent with publication number "CN105426007A" discloses "On-ce ll touch display screen and portable electronic product". The On-ce 11 touch display screen disclosed in the application directly attaches the pressure sensing functional sheet between the protection panel and the touch display module through the 0CA adhesive layer. Compared with the existing On-ce 11 touch display module, the portable electronic product adds the pressure sensing function, thereby increasing the competitiveness of the product. Its manufacturing process is simpler, the yield rate is higher, which can reach more than 90%, and the cost is lower;

[0004] In addition, the Chinese invention patent with publication number "CN110673755A" discloses "a small touch screen production process that reduces air permeation". The application forms a partition by clamping a protective film between a raw substrate and a glass substrate, and placing it in chemical water, and then hot pressing the raw substrate and the glass substrate to press them together, thereby reducing the generation of bubbles in the gap between the raw substrate and the glass substrate and improving the molding rate in the production process.

[0005] The last Chinese invention patent with publication number "CN108363508A" discloses "a non-contact visual inspection method for Mark positioning on a mobile phone touch screen". After taking a photo, the image acquisition module collects the image and transmits the image information to the host computer module. The host computer module processes the data and detects the deviation distance between the center point of the Mark and the center of the Circle through the image processing algorithm. The detection result is displayed and a completion signal is given. After that, the motion control module returns to the initial position and waits for the next workpiece detection setting, thereby realizing fast, accurate and automatic detection of the Mark position of the mobile phone touch screen.

[0006] Since there are multiple processes in the actual production and preparation of touch screens, in the process of actually improving the yield rate of touch screens, most of the time, it is achieved by changing the surrounding environment and improving the process during the touch screen production process. However, since the connection between each process often has time delays and poor information transmission, it is difficult to achieve real-time monitoring and adjustment of the production process, resulting in limited yield improvement effect. Summary of the invention

[0007] The purpose of the present invention is to provide a method and system for improving the yield rate of a touch screen production process, so as to solve the problems raised in the above background technology.

[0008] In the first aspect, in order to achieve the above-mentioned purpose, the present invention provides the following technical solution: a method for improving the yield rate of a touch screen production process, comprising:

[0009] Obtain production instruction data, and extract the improvement range of yield rate based on the production instruction data;

[0010] Acquire production data, including: environmental data during the touch screen production process, property data of the touch screen, and process data of the touch screen production;

[0011] Constructing an associated evaluation model, the associated evaluation model obtains the judgment standard of the touch screen yield rate based on the attribute data, compares the production data in different time periods with the judgment standard respectively, and outputs the judgment data, which is used to represent the characteristic parameters affecting the touch screen yield rate;

[0012] Constructing adjustment rules, the adjustment rules providing adjustment suggestions to the environmental equipment that affects the change of the environmental data and the touch screen production equipment that affects the change of the process data based on the discrimination data;

[0013] Constructing a dynamic input model, the dynamic input model detects and records production data in real time, and adjusts environmental equipment that affects changes in the environmental data and touch screen production equipment that affects changes in process data in a real-time synchronous manner based on adjustment suggestions;

[0014] Construct a verification adjustment model, which is between the association evaluation model and the dynamic input model, and is used to analyze the change range of production data before and after the adjustment suggestion, compare the change range and improvement range, and trigger the correction mechanism based on the comparison results. The correction mechanism acts on the adjustment rules;

[0015] The dynamic input model includes:

[0016] Build a transit transmission terminal based on network interconnection. The transit transmission terminal stores and transmits the production data of the touch screen production process in real time. Establish a transmission protocol between the transit transmission terminal and the equipment that affects the production data. Build a cutoff node that acts on the transmission channel, obtain the distance of the transmission channel, and assign different delay parameters to each cutoff node based on the data transmission speed. The delay parameters are used to enable the transit transmission terminal to complete real-time synchronization of data during the transmission process.

[0017] As a further preferred embodiment of the present technical solution, the transmission protocol includes:

[0018] Unify the data transmission format, select the communication protocol based on the environmental data, create a protocol hierarchy, and the protocol hierarchy acts on the communication protocol to divide the data into several sub-protocols based on data attributes when it is transmitted based on the communication protocol. The sub-protocols correspond to different data attributes, and create interaction rules. The interaction rules act on the sub-protocols to standardize the data interaction process between each sub-protocol.

[0019] As a further preferred embodiment of the present technical solution, the delay parameters include:

[0020] Linear delay based on the transmission channel distance, where the delay parameter is proportional to the distance of the transmission channel and is used to ensure that data remains synchronized during transmission;

[0021] Dynamic delay based on data transmission speed, where the delay parameters are adjusted in real time according to the changes in data transmission speed to adapt to the synchronization requirements under different transmission conditions;

[0022] Adaptive delay based on network load, in which the delay parameters are dynamically adjusted according to the network load conditions to avoid network congestion and ensure the stability and reliability of data transmission.

[0023] As a further preferred embodiment of the present technical solution, the operating formula of the linear delay is: TK*」D

[0024] Where T represents the delay parameter, K represents the delay coefficient per unit distance, D represents the distance of the transmission channel, and the specific value of K is set artificially according to the physical characteristics of the actual transmission channel;

[0025] The dynamic delay includes:

[0026] When the data transmission speed changes, the system calculates the new delay parameter value in real time to adapt to the current transmission speed. The operating formula of dynamic delay is: T'T+ΔT

[0027] Where T' represents the new delay parameter, T represents the original delay parameter, and ΔT represents the delay increment adjusted according to the change of transmission speed. The specific value of ΔT is set artificially according to the change of actual transmission speed.

[0028] The operating formula of the adaptive delay is: T"T++AT'

[0029] Where T" represents the adaptive delay value, T represents the original delay value, ΔT' represents the delay increment adjusted according to the change of network load, and the specific value of ΔT' is set artificially according to the actual network load situation.

[0030] As a further preferred embodiment of the present technical solution, the association evaluation model includes:

[0031] Obtain the discrimination criteria based on the attribute data, divide the production data into environmental data, attribute data and process data based on the time axis, and construct a multi-dimensional parameter graph that changes with time. The multi-dimensional parameter graph is used to show the trend of each characteristic parameter changing with time in the touch screen production process;

[0032] The discrimination criterion and the multidimensional parameter graph are associated, and data values ​​exceeding the discrimination criterion in the multidimensional parameter graph are obtained and marked as discrimination data.

[0033] As a further preferred embodiment of the present technical solution, the adjustment rules include:

[0034] Analyze and extract data categories based on environmental data and process data in the discriminant data, and formulate corresponding adjustment strategies according to the data categories;

[0035] The adjustment strategy includes the environmental adjustment strategy and the process adjustment strategy. The environmental adjustment strategy is used to guide the parameter adjustment of the environmental equipment to optimize the environmental conditions in the touch screen production process.

[0036] The process adjustment strategy is used to guide the parameter adjustment of touch screen production equipment to optimize the process conditions during the production process;

[0037] The adjustment strategy acts on the discrimination data to generate cutoff data, and the cutoff data limits the execution of the adjustment strategy. The values ​​of the environment part and the process part in the adjustment strategy and the cutoff data are compared, and different operation steps are executed on the adjustment strategy based on the difference result.

[0038] As a further preferred embodiment of the present technical solution, the verification adjustment model includes:

[0039] Obtain several production data before and after the execution of the adjustment suggestions, and compare them with the judgment criteria respectively, calculate the difference between the production data before and after the execution of the adjustment suggestions and the judgment criteria, and obtain the optimization range, compare the optimization range and the improvement range based on the environmental characteristics and process characteristics, and output the integrated comparison results;

[0040] When the integrated comparison results show that the optimization range does not reach the expected improvement range, the correction mechanism is triggered.

[0041] As a further preferred embodiment of the present technical solution, the correction mechanism includes:

[0042] Analyze and integrate the reasons why the comparison results did not reach the expected improvement range, identify the characteristic factors that affect the yield rate, act on the relevant parameters in the adjustment rules based on the characteristic factors, re-execute the dynamic input model, adjust the parameters of the environmental equipment and production equipment in real time, obtain production data again through verification and adjustment model, compare the difference between the production data and the judgment standard before and after the execution of the adjustment suggestions, and verify the effectiveness of the correction mechanism. If the correction mechanism fails to achieve the expected effect, repeat the above steps until the difference between the production data and the judgment standard reaches or exceeds the expected improvement range.

[0043] In the second aspect, in order to further improve the above technical solution, the invention provides a system for improving the yield rate of a touch screen production process, wherein the system for improving the yield rate of a touch screen production process uses the above-mentioned method for improving the yield rate of a touch screen production process, and includes:

[0044] Data collection module, used to collect production data and production instruction data;

[0045] Data processing and analysis module, used to process and analyze the collected production data, and perform real-time synchronization processing on the data according to the transmission protocol and delay parameters;

[0046] The transmission control module is used to control the transmission of data according to the transmission protocol and delay parameters during the transmission process to ensure the synchronization and stability of the data during the transmission process;

[0047] Environmental monitoring module, used to monitor production environment data in real time, including temperature data, humidity data, light data and pressure data, to ensure that the production environment meets the requirements of touch screen production;

[0048] The process parameter adjustment module is used to dynamically adjust the process parameters of the production equipment according to the associated evaluation model and adjustment rules to optimize the production process;

[0049] A data storage module, used to store the collected production data, production instruction data and adjustment strategy information;

[0050] User interaction interface, used to display production data, production instructions, adjustment strategies and system operation status information, to facilitate operators to monitor and operate;

[0051] The verification and adjustment module is used to execute the verification and adjustment model, obtain production data and perform comparative analysis to verify the effect of the adjustment strategy and optimize it according to the correction mechanism.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] The yield rate improvement method and system of the touch screen production process, by constructing a dynamic input model, can monitor and adjust the key parameters in the production process in real time when adjusting and improving the touch screen yield rate, thereby ensuring that the production environment and process conditions are always in the best state. In addition, by introducing dynamic delay and adaptive delay, the synchronization and stability in the data transmission process are significantly improved, the production error caused by transmission delay is reduced, and the yield rate of the touch screen production process is indirectly guaranteed;

[0054] In addition, through the combination of the association judgment model and the adjustment rules, it is possible to automatically identify and mark abnormal data in the production process, and then carry out targeted optimization according to the environment and process adjustment strategy. This intelligent adjustment mechanism not only improves production efficiency, but also reduces the need for manual intervention and reduces production costs;

[0055] It should be added that this application further ensures the effectiveness of the adjustment strategy by building a verification adjustment model. By comparing the production data before and after the adjustment, the actual effect of the optimization measures can be accurately evaluated, and the correction mechanism can be triggered when necessary to ensure that the production process is always in the best state;

[0056] It should be further explained that the present invention collects environmental data, attribute data of the touch screen and process data of the touch screen production process during the touch screen production process, and constructs a multi-dimensional parameter map through these data, so that key characteristic parameters in the production process can be monitored and analyzed in real time. It should be added that this multi-dimensional monitoring method helps to timely discover potential problems in the production process, so as to take corresponding adjustment measures and further improve the yield rate of the touch screen;

[0057] In addition, in practical applications, the implementation of this technical solution can significantly improve the automation level of touch screen production and reduce the errors and uncertainties of human operation. Through real-time data collection and analysis, the system can quickly respond to changes in production environment and process conditions, thereby achieving precise control of the production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is the operation logic diagram of the method of the present invention;

[0059] Figure 2 It is the operation logic diagram of the dynamic input model of the present invention;

[0060] Figure 3 It is the operation logic diagram of the association evaluation model of the present invention;

[0061] Figure 4An operation logic diagram for adjusting the rules of the present invention;

[0062] Figure 5 An operation logic diagram of the model for verifying and adjusting the present invention;

[0063] Figure 6 This is a module composition diagram of the system of the present invention. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] When producing touch screens in a high-humidity factory environment, humidity fluctuations may have a significant impact on the production yield of the touch screens. However, in conventional technologies, humidity control often relies on air-conditioning systems and dehumidification equipment, but the response speed and accuracy of these devices cannot meet the requirements of rapidly changing environments, and they cannot be quickly adjusted according to the implementation parameters of the touch screen itself. In addition, in the production process of touch screens, from raw material cutting to final assembly, each step requires precise parameter setting and quality control. Due to the influence of environmental scenes and the lag in information transmission between processes, improving the yield becomes complicated and difficult. Therefore, for improving the yield of the touch screen production process, the method disclosed in the present invention allows each process equipment and equipment that affects the environment to communicate and transmit data, thereby achieving real-time synchronization of data, ensuring the coordination and consistency of the entire production process, and indirectly improving the yield of the touch screen production process.

[0066] As a preferred embodiment, in this embodiment, if Figure 1-Figure 5As shown, a technical solution is provided: a method for improving the yield rate of a touch screen production process, including: obtaining production instruction data, extracting the improvement range of the yield rate based on the production instruction data, obtaining production data, the production data including: environmental data in the touch screen production process, attribute data of the touch screen and process data of the touch screen production, building an associated evaluation model, the associated evaluation model obtains the judgment standard of the touch screen yield rate based on the attribute data, compares the production data in different time periods with the judgment standard respectively, and outputs the judgment data, the judgment data is used to represent the characteristic parameters that affect the touch screen yield rate, and constructs an adjustment rule, the adjustment rule is based on the judgment data to the environment that affects the yield rate. The system provides adjustment suggestions for environmental equipment that affects data changes and touch screen production equipment that affects process data changes, builds a dynamic input model, and detects and records production data in real time. Based on the adjustment suggestions, the dynamic input model adjusts related equipment in a real-time synchronous manner, where the related equipment includes: environmental equipment that affects environmental data changes and touch screen production equipment that affects process data changes. A verification adjustment model is built, and the verification adjustment model is between the association evaluation model and the dynamic input model. It is used to analyze the change range of production data before and after the adjustment suggestions are taken effect, compare the change range and the improvement range, and trigger the correction mechanism based on the comparison results. The correction mechanism acts on the adjustment rules.

[0067] It should be added that, in the present embodiment, the method for acquiring production data includes: real-time monitoring through sensors, wherein the sensors include temperature sensors, humidity sensors and pressure sensors, which are arranged on the production line. In addition, during actual operation, the acquisition of production data also includes visual monitoring through cameras to ensure the accuracy and real-time nature of the data. It should be added that production data can also be acquired through manual input, for example, the operator measures and records the attribute data of the touch screen at a specific stage.

[0068] As a preferred embodiment, refer to Figure 2 It can be seen that in this embodiment, the dynamic input model includes: constructing a transit transmission terminal based on network interconnection, the transit transmission terminal stores and transmits production data in the touch screen production process in real time, establishes a transmission protocol between the transit transmission terminal and the equipment that affects the production data, constructs a cutoff node acting in the transmission channel, obtains the distance of the transmission channel, and assigns different delay parameters to each cutoff node based on the data transmission speed. The delay parameters are used to allow the transit transmission terminal to complete real-time synchronization of data during the transmission process.

[0069] It should be added that, in this embodiment, the transit transmission terminal is used to integrate production data from different devices and sensors, where these devices include environmental control equipment, touch screen production equipment, and quality inspection equipment. In addition, during actual operation, the transit transmission terminal can complete the movement of data within the transmission channel by using network interconnection technologies such as Ethernet and wireless LAN.

[0070] As a preferred implementation, in this implementation, the transmission protocol includes: unifying the data transmission format, selecting the communication protocol based on environmental data, creating a protocol hierarchy, the protocol hierarchy acts on the communication protocol, and is used to allow data to be divided into several sub-protocols based on data attributes when transmitted based on the communication protocol, and the sub-protocols correspond to different data attributes, respectively, and create interaction rules. The interaction rules act on the sub-protocols and are used to standardize the data interaction process between each sub-protocol.

[0071] It should be added that, in this embodiment, selecting a communication protocol based on environmental data means dynamically selecting the most suitable communication protocol according to the current network environment, device type, and external environment. It should be added that environmental data may also include network bandwidth, latency, and packet loss rate. For example, when the device is in a low-bandwidth network environment, a lighter-weight communication protocol, such as MQTT, is selected to reduce the amount of data transmission and improve transmission efficiency. On the contrary, if the device is in a high-bandwidth network environment, the system will select a more complex and feature-rich communication protocol, such as HTTP / 2, to support richer data interaction requirements.

[0072] It should also be noted that, in this embodiment, the purpose of creating a protocol hierarchy is to decompose a complex communication process into multiple sub-protocols, each sub-protocol is responsible for processing specific data attributes. For example, in the touch screen production process, one sub-protocol is responsible for processing temperature data, while another sub-protocol is responsible for processing humidity data. In this way, not only the efficiency and accuracy of data processing are guaranteed, but also the error rate in the communication process is reduced.

[0073] In addition, in practical applications, interaction rules are created to ensure that different sub-protocols can exchange data smoothly and avoid data conflicts and redundancy. For example, when the temperature sensor and humidity sensor send data to the transit transmission terminal at the same time, the interaction rules can ensure that the data is transmitted in a predetermined order and format, thereby ensuring the integrity and consistency of the data.

[0074] As a preferred embodiment, in this embodiment, the delay parameters include: a linear delay based on the distance of the transmission channel, wherein the delay parameter is proportional to the distance of the transmission channel, and is used to ensure that the data remains synchronized during the transmission process; a dynamic delay based on the data transmission speed, wherein the delay parameter is adjusted in real time according to the change of the data transmission speed, and is used to adapt to the synchronization requirements under different transmission conditions; an adaptive delay based on the network load, wherein the delay parameter is dynamically adjusted according to the network load conditions, and is used to avoid network congestion and ensure the stability and reliability of data transmission.

[0075] It should be noted that, in this embodiment, the linear delay operation formula is: T = K * D

[0076] Where T represents the delay parameter, K represents the delay coefficient per unit distance, D represents the distance of the transmission channel, and the specific value of K is set artificially according to the physical characteristics of the actual transmission channel;

[0077] Dynamic delay includes: when the data transmission speed changes, the system calculates the new delay parameter value in real time to adapt to the current transmission speed. The operating formula of dynamic delay is: T′=T+AT

[0078] Where T' represents the new delay parameter, T represents the original delay parameter, and ΔT represents the delay increment adjusted according to the change of transmission speed. The specific value of ΔT is set artificially according to the change of actual transmission speed.

[0079] The operating formula of adaptive delay is: T"T+AT', where T" represents the adaptive delay value, T represents the original delay value, ΔT' represents the delay increment adjusted according to the change of network load, and the specific value of ΔT' is set artificially according to the actual network load situation.

[0080] It should be added that, in the present embodiment, the operating formula of the linear delay, the operating formula of the dynamic delay and the operating formula of the adaptive delay are obtained through experiments and actual measurements. First, multiple data transmission experiments are carried out at different transmission channel distances, the data transmission time is recorded, and the delay coefficient K per unit distance is calculated. Then, multiple experiments are carried out by changing the data transmission speed, the delay increment ΔT at different speeds is recorded, and the operating formula of the dynamic delay is established based on these data. Finally, by simulating different network load conditions, the impact of network load changes on the data transmission delay is recorded, so as to determine the operating formula of the adaptive delay.

[0081] In addition, in practical applications, these formulas will be embedded in the software of the transit transmission terminal to ensure that during real-time data transmission, the delay parameters can be dynamically adjusted according to the transmission channel distance, data transmission speed and network load conditions, thereby achieving real-time data synchronization.

[0082] As a preferred embodiment, refer to Figure 3 It can be seen that in this embodiment, the associated evaluation model includes: obtaining a discrimination criterion based on attribute data, dividing the production data into a multidimensional parameter graph that changes with time according to classification rules based on the time axis, wherein the classification rules are divided according to three types of production data: environmental data, attribute data, and process data. It should be noted that the multidimensional parameter graph is used to show the trend of each characteristic parameter changing over time during the touch screen production process; associating the discrimination criterion with the multidimensional parameter graph, obtaining data values ​​in the multidimensional parameter graph that exceed the discrimination criterion, and marking them as discrimination data.

[0083] It should be added that, in the present embodiment, the method for constructing the association judgment model includes: data preprocessing: first, the acquired production data is cleaned and preprocessed to ensure the accuracy and completeness of the data, which includes removing outliers, filling missing values, and data normalization steps. It should be noted that the preprocessed data will provide a solid foundation for subsequent analysis; feature extraction: extracting key features from the preprocessed data, and these features will be used to construct a multidimensional parameter map. It should be noted that feature extraction can use statistical analysis, principal component analysis (PCA) and independent component analysis (ICA) methods to reduce data dimensions and retain important information; constructing a multidimensional parameter map: constructing a multidimensional parameter map based on the extracted features. It should be noted that the multidimensional parameter map will show the trend of each characteristic parameter changing over time during the touch screen production process. In addition, during actual operation, the multidimensional parameter map can use dynamic visualization technology to facilitate observation and analysis of the evolution of data over time; setting of discrimination criteria: setting reasonable discrimination criteria based on historical data and professional knowledge.

[0084] As a preferred embodiment, refer to Figure 4 It can be seen that in this embodiment, the adjustment rules include: analyzing and extracting data categories based on environmental data and process data in the discrimination data, and formulating corresponding adjustment strategies according to the data categories. The adjustment strategies include environmental adjustment strategies and process adjustment strategies. The environmental adjustment strategies are used to guide the parameter adjustment of environmental equipment to optimize the environmental conditions in the touch screen production process. The process adjustment strategies are used to guide the parameter adjustment of touch screen production equipment to optimize the process conditions in the production process. The adjustment strategies act on the discrimination data to generate cutoff data, and the cutoff data limits the execution of the adjustment strategies. The values ​​of the environmental part and the process part in the adjustment strategies and the cutoff data are compared. Based on the difference results, different operation steps are performed on the adjustment strategies.

[0085] It should be noted that in this embodiment, when the judgment data is a specific numerical value, the adjustment rules will be judged according to the preset threshold value. For example, if the ambient temperature exceeds the set range, the environmental adjustment strategy will be activated to adjust the air-conditioning system to lower or increase the temperature to ensure the stability of the production environment. If the process parameters such as pressure or speed exceed the predetermined range, the process adjustment strategy will be activated to adjust the parameters of the relevant equipment to restore the normal operation of the production process.

[0086] As a preferred embodiment, refer to Figure 5 It can be seen that in this embodiment, verifying the adjustment model includes: obtaining a number of production data before and after the execution of the adjustment suggestions, and comparing them with the judgment criteria respectively, calculating the difference between the production data before and after the execution of the adjustment suggestions and the judgment criteria, and deriving the optimization range, comparing the optimization range and the improvement range based on environmental characteristics and process characteristics respectively, and outputting the integrated comparison results. When the integrated comparison results show that the optimization range does not reach the expected improvement range, the correction mechanism is triggered.

[0087] It should be added that, in this embodiment, the correction mechanism includes: analyzing the reasons why the integrated comparison results do not reach the expected improvement range, identifying the characteristic factors that affect the yield rate, based on the characteristic factors, acting on the relevant parameters in the adjustment rules, re-executing the dynamic input model, adjusting the parameters of the environmental equipment and production equipment in real time, obtaining production data again by verifying the adjustment model, comparing the difference between the production data and the judgment standard before and after the execution of the adjustment suggestions, verifying the effectiveness of the correction mechanism, and if the correction mechanism fails to achieve the expected effect, repeating the above steps until the difference between the production data and the judgment standard reaches or exceeds the expected improvement range.

[0088] It should be further explained that, in this embodiment, when the characteristic factor is specifically ambient temperature fluctuation, the correction mechanism will first analyze the impact of temperature fluctuations on the production process, and determine the specific impact of temperature fluctuations on the yield rate by collecting data from temperature sensors and combining key parameters in the production process, such as material properties and equipment operating status. Then, the temperature set value in the environmental control system will be adjusted according to the range and frequency of temperature fluctuations to reduce the negative impact of temperature fluctuations on the production process.

[0089] In addition, when the characteristic factor is specifically equipment aging, the correction mechanism will collect equipment operation data through the equipment status monitoring system and analyze the specific impact of equipment aging on the production process. The system will identify the key components of the aging equipment and formulate corresponding maintenance plans based on the equipment maintenance history and repair recommendations. At this time, by replacing or repairing the aging parts, the system will readjust the equipment parameters to ensure that the equipment operates in the best condition.

[0090] If the characteristic factor is specifically the fluctuation of raw material quality, the correction mechanism will first conduct detailed quality inspection on the raw materials to determine the specific scope and cause of the fluctuation of raw material quality. Based on the inspection results, the system will adjust the procurement standards and acceptance procedures of the raw materials to ensure the stability of the raw material quality. At the same time, the key parameters in the production process will be dynamically adjusted to adapt to the changes in raw material quality, thereby ensuring the quality of the final product.

[0091] As a preferred embodiment, Figure 6 It can be seen that the present invention proposes a yield rate improvement system for a touch screen production process, which uses the above-mentioned yield rate improvement method for a touch screen production process and includes: a data acquisition module, which is used to collect production data and production instruction data, a data processing and analysis module, which is used to process and analyze the collected production data, and perform real-time synchronization processing on the data according to the transmission protocol and the delay parameter, a transmission control module, which is used to control the transmission of data according to the transmission protocol and the delay parameter during the transmission process to ensure the synchronization and stability of the data during the transmission process, an environmental monitoring module, which is used to monitor the production environment data in real time, including temperature data, humidity data, light data and pressure data, to ensure that the production environment meets the requirements of touch screen production, a process parameter adjustment module, which is used to dynamically adjust the process parameters of the production equipment according to the associated evaluation model and the adjustment rules to optimize the production process, a data storage module, which is used to store the collected production data, production instruction data and adjustment strategy information, a user interaction interface, which is used to display the production data, production instructions, adjustment strategy and system operation status information, and a verification adjustment module, which is used to execute the verification adjustment model, obtain the production data and perform comparative analysis to verify the effect of the adjustment strategy, and optimize it according to the correction mechanism.

[0092] It should be noted that the modules mentioned in this embodiment are independent hardware devices or software programs in the actual touch screen production line, and work together through a network connection to ensure the improvement of the yield rate of the touch screen production process. In actual applications, the data acquisition module is usually composed of sensors and data acquisition cards, and is installed at key positions of the production line to ensure that production data can be obtained in real time and accurately. The data processing and analysis module is undertaken by a server or workstation to quickly complete the analysis and processing of production data. The transmission control module is composed of network equipment and a protocol converter to ensure the real-time and stability of data during transmission. The environmental monitoring module is composed of various environmental sensors, which can monitor the temperature, humidity, and light in the production environment in real time. and pressure, and transmits the data to the data processing and analysis module for analysis. The process parameter adjustment module is closely connected with the control system of the production equipment, and realizes dynamic adjustment of the process parameters through the communication interface with the production equipment. The data storage module is composed of large-capacity storage devices, such as disk arrays or cloud storage services, which are used to store a large amount of production data and adjustment strategy information for a long time. The user interaction interface is realized through a touch screen, tablet computer or computer terminal. Operators view production data, production instructions, adjustment strategies and system operation status information through these devices, and perform corresponding operations and adjustments. The verification and adjustment module is composed of software programs, which cooperates with the data processing and analysis module to realize verification and optimization of the adjustment strategy effect.

[0093] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is limited by the attached embodiments and their equivalents.

Claims

1. A method for improving the yield rate of a touch screen production process, characterized in that: include: Obtain production instruction data, and extract the improvement range of yield rate based on the production instruction data; Acquire production data, including: environmental data during the touch screen production process, property data of the touch screen, and process data of the touch screen production; Constructing an associated evaluation model, the associated evaluation model obtains the judgment standard of the touch screen yield rate based on the attribute data, compares the production data in different time periods with the judgment standard respectively, and outputs the judgment data, which is used to represent the characteristic parameters affecting the touch screen yield rate; Constructing adjustment rules, the adjustment rules providing adjustment suggestions to the environmental equipment that affects the change of the environmental data and the touch screen production equipment that affects the change of the process data based on the discrimination data; Constructing a dynamic input model, the dynamic input model detects and records production data in real time, and adjusts environmental equipment that affects changes in the environmental data and touch screen production equipment that affects changes in process data in a real-time synchronous manner based on adjustment suggestions; Construct a verification adjustment model, which is between the association evaluation model and the dynamic input model, and is used to analyze the change range of production data before and after the adjustment suggestion, compare the change range and improvement range, and trigger the correction mechanism based on the comparison results. The correction mechanism acts on the adjustment rules; The dynamic input model includes: Build a transit transmission terminal based on network interconnection. The transit transmission terminal stores and transmits the production data of the touch screen production process in real time. Establish a transmission protocol between the transit transmission terminal and the equipment that affects the production data. Build a cutoff node that acts on the transmission channel, obtain the distance of the transmission channel, and assign different delay parameters to each cutoff node based on the data transmission speed. The delay parameters are used to enable the transit transmission terminal to complete real-time synchronization of data during the transmission process.

2. The method for improving the yield rate of a touch screen production process according to claim 1, characterized in that: The transmission protocol includes: Unify the data transmission format, select the communication protocol based on the environmental data, create a protocol hierarchy, and the protocol hierarchy acts on the communication protocol to divide the data into several sub-protocols based on data attributes when it is transmitted based on the communication protocol. The sub-protocols correspond to different data attributes, and create interaction rules. The interaction rules act on the sub-protocols to standardize the data interaction process between each sub-protocol.

3. The method for improving the yield rate of a touch screen production process according to claim 1, characterized in that: The delay parameters include: Linear delay based on the transmission channel distance, where the delay parameter is proportional to the distance of the transmission channel and is used to ensure that data remains synchronized during transmission; Dynamic delay based on data transmission speed, where the delay parameters are adjusted in real time according to the changes in data transmission speed to adapt to the synchronization requirements under different transmission conditions; Adaptive delay based on network load, in which the delay parameters are dynamically adjusted according to the network load conditions to avoid network congestion and ensure the stability and reliability of data transmission.

4. The method for improving the yield rate of a touch screen production process according to claim 3, characterized in that: The operating formula of linear delay is: T = K*D; Where T represents the delay parameter, K represents the delay coefficient per unit distance, D represents the distance of the transmission channel, and the specific value of K is set artificially according to the physical characteristics of the actual transmission channel; The dynamic delay includes: When the data transmission speed changes, the system calculates the new delay parameter value in real time to adapt to the current transmission speed. The operating formula of dynamic delay is: T′=T+ΔT; Where T' represents the new delay parameter, T represents the original delay parameter, and ΔT represents the delay increment adjusted according to the change of transmission speed. The specific value of ΔT is set artificially according to the change of actual transmission speed. The operating formula of the adaptive delay is: T″=T+ΔT′; Where T" represents the adaptive delay value, T represents the original delay value, ΔT' represents the delay increment adjusted according to the change of network load, and the specific value of ΔT' is set artificially according to the actual network load situation.

5. The method for improving the yield rate of a touch screen production process according to claim 1, characterized in that: The association evaluation model includes: Obtain the discrimination criteria based on the attribute data, divide the production data into environmental data, attribute data and process data based on the time axis, and construct a multi-dimensional parameter graph that changes with time. The multi-dimensional parameter graph is used to show the trend of each characteristic parameter changing with time in the touch screen production process; The discrimination criterion and the multidimensional parameter graph are associated, and data values ​​exceeding the discrimination criterion in the multidimensional parameter graph are obtained and marked as discrimination data.

6. The method for improving the yield rate of a touch screen production process according to claim 5, characterized in that: The adjustment rules include: Analyze and extract data categories based on environmental data and process data in the discriminant data, and formulate corresponding adjustment strategies according to the data categories; The adjustment strategy includes the environmental adjustment strategy and the process adjustment strategy. The environmental adjustment strategy is used to guide the parameter adjustment of the environmental equipment to optimize the environmental conditions in the touch screen production process. The process adjustment strategy is used to guide the parameter adjustment of touch screen production equipment to optimize the process conditions during the production process; The adjustment strategy acts on the discrimination data to generate cutoff data, and the cutoff data limits the execution of the adjustment strategy. The values ​​of the environment part and the process part in the adjustment strategy and the cutoff data are compared, and different operation steps are executed on the adjustment strategy based on the difference result.

7. The method for improving the yield rate of a touch screen production process according to claim 1, characterized in that: The verification adjustment model includes: Obtain several production data before and after the execution of the adjustment suggestions, and compare them with the judgment criteria respectively, calculate the difference between the production data before and after the execution of the adjustment suggestions and the judgment criteria, and obtain the optimization range, compare the optimization range and the improvement range based on the environmental characteristics and process characteristics, and output the integrated comparison results; When the integrated comparison results show that the optimization range does not reach the expected improvement range, the correction mechanism is triggered.

8. The method for improving the yield rate of a touch screen production process according to claim 7, characterized in that: The correction mechanism includes: Analyze and integrate the reasons why the comparison results did not reach the expected improvement range, identify the characteristic factors that affect the yield rate, act on the relevant parameters in the adjustment rules based on the characteristic factors, re-execute the dynamic input model, adjust the parameters of the environmental equipment and production equipment in real time, obtain production data again through verification and adjustment model, and compare the difference between the production data and the judgment standard before and after the execution of the adjustment suggestions until the difference between the production data and the judgment standard reaches or exceeds the expected improvement range.

9. A system for improving the yield rate of a touch screen production process, using a method for improving the yield rate of a touch screen production process as claimed in any one of claims 1 to 8, characterized in that: include: Data collection module, used to collect production data and production instruction data; Data processing and analysis module, used to process and analyze the collected production data, and perform real-time synchronization processing on the data according to the transmission protocol and delay parameters; The transmission control module is used to control the transmission of data according to the transmission protocol and delay parameters during the transmission process to ensure the synchronization and stability of the data during the transmission process; Environmental monitoring module, used to monitor production environment data in real time, including temperature data, humidity data, light data and pressure data, to ensure that the production environment meets the requirements of touch screen production; The process parameter adjustment module is used to dynamically adjust the process parameters of the production equipment according to the associated evaluation model and adjustment rules to optimize the production process; A data storage module, used to store the collected production data, production instruction data and adjustment strategy information; User interaction interface, used to display production data, production instructions, adjustment strategies and system operation status information, to facilitate operators to monitor and operate; The verification and adjustment module is used to execute the verification and adjustment model, obtain production data and perform comparative analysis to verify the effect of the adjustment strategy and optimize it according to the correction mechanism.

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