Intelligent diagnosis and operation and maintenance method and system for printing equipment and readable storage medium

Abstract

The invention provides an intelligent diagnosis and operation and maintenance method and system for printing equipment and a readable storage medium, and the method comprises the steps: obtaining the real-time state data of the printing equipment in a sensing system, and obtaining the historical data of the printing equipment in an equipment state data storage system; according to the real-time state data and the historical data, an abnormal state and a trend fault of the printing equipment are warned in an early warning mode through a fault diagnosis module; according to the historical data and the user setting items, operation maintenance is conducted on the printing equipment through an operation maintenance module; setting the initial process parameters through a parameter self-setting module according to a preset empirical parameter formula; and according to the real-time state data, the key parameters are controlled and adjusted in real time through the parameter self-adjusting module. According to the technical scheme, the dependence on manual operation experience can be effectively reduced in the production process of the printing equipment, the manual intervention frequency is reduced, the production efficiency is improved, and the equipment safety is maintained.

Description

[0001] This application is a divisional application of Chinese patent application No. 202311254640.0, filed on September 26, 2023, entitled “Intelligent Diagnosis and Maintenance Method and System for Printing Equipment, and Readable Storage Medium”, the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the field of printing equipment technology, and more specifically, to a method and system for intelligent diagnosis and maintenance of printing equipment, and a readable storage medium. Background Technology

[0003] Printing equipment is crucial in the printing industry, characterized by its high speed and precision. However, existing printing equipment still suffers from the following shortcomings: First, its fault detection function is not comprehensive enough. Printing equipment is precision equipment involving numerous components; however, many key components, such as various roller bearings, disc springs, and wiping rollers, lack proactive monitoring and fault prediction functions. Therefore, if equipment malfunctions and cannot be stopped in time, it may result in a large amount of scrap and even safety accidents. Second, the maintenance functions of existing printing equipment are not comprehensive or user-friendly enough, lacking features such as timely spare parts replacement reminders, spare parts replacement / repair records, equipment operation and maintenance reports, and fault statistical analysis. Third, the setting and adjustment functions of electrical control parameters are not intelligent enough. For example, during production changeovers, operators rely on manually inputting key electrical control parameters, and the adjustment of pressure on each roller during equipment operation depends on manual operating experience. Summary of the Invention

[0004] This application aims to solve or improve the aforementioned technical problems.

[0005] Therefore, the primary objective of this application is to provide a method for intelligent diagnosis and maintenance of printing equipment.

[0006] The second objective of this application is to provide an intelligent diagnostic and maintenance system for printing equipment.

[0007] The third objective of this application is to provide an intelligent diagnostic and maintenance system for printing equipment.

[0008] The fourth objective of this application is to provide a readable storage medium.

[0009] To achieve the first objective of this application, the first aspect of this application provides a method for intelligent diagnosis and maintenance of printing equipment. The printing equipment includes a sensing system, an equipment status data storage system, an intelligent diagnosis and maintenance system, and an electrical control system. The intelligent diagnosis and maintenance system includes a fault diagnosis module, an operation and maintenance module, a parameter self-setting module, and a parameter self-adjustment module. The method for intelligent diagnosis and maintenance of printing equipment includes: acquiring real-time status data of the printing equipment from the sensing system and acquiring historical data of the printing equipment from the equipment status data storage system; performing fault diagnosis and operation and maintenance on the printing equipment based on the real-time status data and the historical data; wherein, the step of performing fault diagnosis and operation and maintenance on the printing equipment based on the real-time status data and the historical data specifically includes: Based on the real-time status data and historical data of the printing equipment, the fault diagnosis module provides early warnings for abnormal states and trending faults of the printing equipment, and the electrical control system executes corresponding actions according to the current working mode; and / or based on the historical data and user settings of the printing equipment, the operation and maintenance module performs operation and maintenance on the printing equipment; and / or based on preset empirical parameter formulas, the parameter self-setting module sets the initial process parameters of the printing equipment when changing products, and the electrical control system executes corresponding actions according to the current working mode to complete the issuance of corresponding parameters; and / or based on the real-time status data of the printing equipment, the parameter self-adjustment module calculates the adjustment amount of key parameters, and the electrical control system executes corresponding adjustment commands according to the current working mode.

[0010] According to the intelligent diagnosis and maintenance method for printing equipment provided in this application, the intelligent diagnosis and maintenance system first interacts with the equipment status data storage system and the sensing system to obtain real-time status data of the printing equipment from the sensing system and historical data of the printing equipment from the equipment status data storage system through relevant communication protocols. Then, based on the real-time and historical data of the printing equipment, the data layer summarizes and analyzes the collected equipment status data, and various machine learning and control algorithms are used to monitor and adjust the entire machine in real time. Specifically, based on the real-time and historical data of the printing equipment, the fault diagnosis module provides early warnings for abnormal states and trending faults of the printing equipment, and the electrical control system executes corresponding actions according to the current working mode. Based on the historical data and user settings, the operation and maintenance module performs operation and maintenance on the printing equipment. Based on preset empirical parameter formulas, the parameter self-setting module sets the initial process parameters of the printing equipment with one click when changing products, and the electrical control system executes corresponding actions to issue the corresponding parameters according to the current working mode. Based on the real-time status data of the printing equipment, the parameter self-adjustment module calculates the adjustment amount of key parameters, and the electrical control system executes corresponding adjustment commands according to the current working mode. The intelligent diagnosis and maintenance method for printing equipment proposed in this application can effectively reduce the reliance on manual operation experience during the printing equipment production process, reduce the frequency of manual intervention, and improve production efficiency, maintenance efficiency, and equipment safety.

[0011] In addition, the technical solution provided in this application may also have the following additional technical features: In some technical solutions, optionally, based on real-time status data and historical data of the printing equipment, a fault diagnosis module can provide early warnings about abnormal states and trending faults of the printing equipment, and the electrical control system can execute corresponding actions according to the current working mode. Specifically, this includes: preprocessing and / or classifying sensor data to obtain real-time status data of the printing equipment; performing fault state analysis based on the real-time data of the printing equipment using a fault diagnosis algorithm to calculate fault prediction results; and the fault diagnosis module notifying the electrical control system to execute corresponding actions according to the working mode.

[0012] In this technical solution, based on real-time and historical data of the printing equipment, a fault diagnosis module provides early warnings of abnormal states and trending faults. The electrical control system then executes corresponding actions based on the current operating mode. Specifically, the sensor data is first preprocessed and classified to obtain real-time status data of the printing equipment. Then, a fault diagnosis algorithm analyzes the fault status based on the real-time data and calculates fault prediction results. Finally, the fault diagnosis module notifies the electrical control system to execute corresponding actions based on the operating mode, thereby avoiding large amounts of waste and reducing the occurrence of safety accidents.

[0013] In some technical solutions, optionally, the fault diagnosis module notifies the electrical control system to perform corresponding actions based on the operating mode. Specifically, this includes: obtaining the operating mode of the fault diagnosis module, which may include one of the following: independent monitoring mode, online communication mode, online control mode, and shutdown mode; when the fault diagnosis module is in shutdown mode, the fault diagnosis algorithm does not perform fault prediction and does not write the fault status variables of the sensing system; when the fault diagnosis module is in independent monitoring mode, online communication mode, or online control mode, the fault diagnosis algorithm performs real-time monitoring based on sensor data, calculates the fault prediction result, and provides early warning and / or alarm prompts in the intelligent diagnosis and maintenance system; writing the fault prediction result into the fault log of the local database of the intelligent diagnosis and maintenance system; and when the fault diagnosis module is in online communication mode or online control mode, the fault diagnosis module writes the fault prediction result into the fault status variables of the sensing system. The electrical control system detects changes in the corresponding parameters of the sensing system. When the fault diagnosis module is in online communication mode, the operator decides whether to execute the mechanism action based on the actual working conditions. When the fault diagnosis module is in online control mode, the electrical control system executes the mechanism action based on changes in the corresponding parameters of the sensing system.

[0014] In this technical solution, to facilitate system debugging and testing and prevent printing defects or production accidents caused by improper adjustment of key parameters, the monitoring setting submodule includes multiple working modes for users to switch between, depending on the level of intelligence: independent monitoring mode, online communication mode, online control mode, and shutdown mode. In independent monitoring mode, each fault prediction model operates normally and calculates prediction and / or diagnostic results in real time based on online sensor data acquired by the sensing system. The system saves the prediction and / or diagnostic results to the intelligent diagnosis and maintenance system database, but does not write to / update the corresponding variables in the sensing system data pool. That is, the electrical control system will not detect changes in relevant variables of the sensing system and therefore does not execute any actions. In online communication mode, each fault prediction model operates normally and calculates prediction and / or diagnostic results in real time based on online sensor data acquired by the sensing system. The system saves the results to the local database and simultaneously changes the corresponding variables in the sensing system data pool in real time. When the electrical control system detects changes in the corresponding variables, the operator determines whether to issue an action command to the actuator based on the actual working conditions. In online control mode, each fault prediction model operates normally and calculates prediction and / or diagnostic results in real time based on online sensor data acquired by the sensing system. The system saves the results to a local database and simultaneously updates the corresponding variables in the sensing system's data pool. When the electrical control system detects a change in the corresponding variable, it controls the relevant mechanisms to perform the appropriate actions based on the specific variable value. In shutdown mode, the fault diagnosis model does not operate and does not communicate with the electrical control system. The purpose of writing corresponding variables into the sensing system is to allow other systems, such as the electrical control system, to detect updates to control and / or regulation quantities and read the corresponding data, thus enabling data interaction and communication.

[0015] In some technical solutions, optionally, the printing equipment is operated and maintained through an operation and maintenance module based on historical data and user settings. This includes: setting and reminding users of periodic and / or non-periodic maintenance-related matters according to user settings; statistically summarizing and generating operation and maintenance reports based on historical data of the printing equipment, using relevant data statistical methods to analyze start-up and shutdown times and fault classification information; using relevant algorithms to obtain fault trend analysis, maintenance and operation suggestions, and spare parts usage analysis and reserve prediction based on historical data of the printing equipment; and executing corresponding actions according to the working mode of the operation and maintenance module.

[0016] In this technical solution, the operation and maintenance module mainly includes three functions. First, it allows for the periodic or non-periodic setting and reminders for maintenance-related matters according to user needs, such as reminders for the maintenance of specific components or timely replacement of lubricating oil. Users can add, delete, modify, and query these specific reminders as needed. Second, based on historical data of the printing equipment obtained from the equipment status data storage system, it uses relevant data statistical methods to statistically summarize information such as start-up and shutdown times, fault classification, maintenance records, and spare parts replacement records, providing users with intuitive data summary analysis in various formats. Third, based on historical data of the printing equipment, it uses relevant algorithms to obtain fault trend analysis, maintenance and operation suggestions, as well as spare parts usage analysis and reserve prediction. Finally, it executes corresponding actions according to the working mode of the operation and maintenance module, thereby making the printing equipment maintenance function more comprehensive and user-friendly.

[0017] In some technical solutions, optionally, corresponding actions are performed based on the operating mode of the operation and maintenance module. Specifically, this includes: obtaining the operating mode of the operation and maintenance module, which may include one of the following: independent monitoring mode, online communication mode, or shutdown mode; when the operating mode is shutdown, the operation and maintenance module does not provide reminders regarding maintenance matters and does not write corresponding variables into the sensing system; when the operating mode is independent monitoring mode or online communication mode, the operation and maintenance module provides periodic / non-periodic reminders based on the set maintenance matters; writing the periodic / non-periodic reminder content into the corresponding database of the intelligent diagnosis and operation and maintenance system; when the operating mode is online communication mode, writing corresponding variables into the sensing system; detecting changes in corresponding parameters of the sensing system through an external system; and when the operating mode is online communication mode, the external system performs corresponding actions based on the status of changes in corresponding parameters of the sensing system.

[0018] In this technical solution, to facilitate system debugging and testing and prevent printing defects or production accidents caused by improper adjustment of key parameters, the monitoring settings submodule includes multiple working modes for users to switch between, depending on the level of intelligence. Specifically, the operation and maintenance module includes independent monitoring mode, online communication mode, and shutdown mode. Mode settings and switching can be adjusted within the maintenance settings submodule. In independent monitoring mode, the operation and maintenance module provides periodic / non-periodic reminders based on the set maintenance-related matters, but does not write corresponding variables to the sensing system. This means that external systems such as electrical control systems and human-machine interaction systems will not detect changes in these variables and therefore will not execute any actions. In online communication mode, the operation and maintenance module provides periodic / non-periodic reminders based on the set maintenance-related matters. Maintenance reminders are automatically displayed in a pop-up window within the system and are written to / updated to the corresponding variables in the sensing system. When an external system detects a change in variables, it will execute the corresponding action. In shutdown mode, all maintenance reminders are set to the off state. This means that the system will no longer provide any maintenance reminders, nor will it write to / update corresponding variables in the sensing system. External systems will not detect changes in variables and will not execute any actions.

[0019] In some technical solutions, optionally, based on preset empirical parameter formulas, the initial process parameters of the printing equipment can be set with one click via a parameter self-setting module when changing products. The electrical control system then executes corresponding actions based on the current operating mode to distribute the corresponding parameters. Specifically, this includes: obtaining the operating mode of the parameter self-setting module, which may include one of the following: prompt mode, automatic mode, or off mode; obtaining the preset empirical parameter formula for the corresponding product from the local database of the intelligent diagnostic and maintenance system based on user selection; executing corresponding actions according to the operating mode of the parameter self-setting module; and [further details about the parameter self-setting module's operation]. When in closed mode, no corresponding variables are written to the sensing system; when the parameter self-setting module is in prompt mode and / or automatic mode, all parameters of the preset experience parameter formula of the corresponding product are sequentially written to the corresponding variables of the sensing system; the electrical control system detects the corresponding parameter distribution flag of the sensing system; when the parameter self-setting module is in prompt mode, the operator decides whether to execute the mechanism action based on the parameter distribution flag and the actual working conditions; when the parameter self-setting module is in automatic mode, no operator intervention is required, and the electrical control system controls the corresponding actuator to complete the action based on the parameter distribution flag and the corresponding parameters of the sensing system.

[0020] In this technical solution, the parameter self-setting module functions to set the initial process parameter formula corresponding to the current product with a single click when changing products. Specifically, the production of different products involves different and numerous process parameters. When changing products, it is necessary to configure the initial process parameters one by one into the electrical control system, involving a significant amount of manual operation. The purpose of the parameter self-setting module is to summarize the initial empirical process parameters corresponding to different printed products in the form of different formulas, forming different empirical parameter formulas. This allows for one-click setting when changing products, saving time and improving work efficiency.

[0021] Understandably, to facilitate system debugging and testing, and to prevent printing defects or production accidents caused by improper adjustment of key parameters, the parameter self-setting module offers multiple operating modes for users to choose from, depending on the level of intelligence: prompt mode, automatic mode, and off mode. Specifically, when changing products, the user selects and applies the initial process parameter formula for the corresponding product on the parameter self-setting module interface. When the parameter self-setting module is in prompt mode or automatic mode, it reads all parameter values ​​of the corresponding formula from the local database of the intelligent diagnostics and maintenance system and automatically writes / updates the corresponding variables in the sensing system. When the parameter self-setting module is in prompt mode, the electrical control system detects changes in the corresponding variables, and the operator decides whether to issue parameters based on the current actual working conditions. When the parameter self-setting module is in automatic mode, no operator intervention is required; the electrical control system detects changes in the corresponding variables and automatically issues the specific parameters to the corresponding actuators to complete the specified actions. When the parameter self-setting module is in off mode, the intelligent diagnostics and maintenance system does not write / update the corresponding variables in the sensing system, and the external system does not execute the corresponding actions. The purpose of the shutdown mode is to protect the currently effective process parameter values ​​from being mistakenly changed, thereby causing scrap or safety accidents.

[0022] In some technical solutions, optionally, based on real-time status data of the printing equipment, the adjustment amount of key parameters is calculated by the parameter self-adjustment module, and the corresponding adjustment command is completed by the electrical control system according to the current working mode. Specifically, this includes: obtaining the working mode of the parameter self-adjustment module, which includes one of the following: prompt mode, automatic mode, and off mode; the parameter self-adjustment module executing corresponding actions according to the user-set working mode; when the parameter self-adjustment module is in off mode, the parameter self-adjustment related algorithm does not work, and the parameter self-adjustment module does not write the corresponding variables into the sensing system; when the parameter self-adjustment module is in prompt mode and / or automatic mode, the parameter adjustment amount is calculated in real-time by the adjustment algorithm based on the real-time status data of the equipment and the user-set value; the adjustment amount is written into the corresponding variables of the sensing system; the electrical control system detects changes in the corresponding variables of the sensing system; when the parameter self-adjustment module is in prompt mode, the operator decides whether the electrical control system executes the corresponding adjustment action according to the adjustment amount based on the actual working conditions; when the parameter self-adjustment module is in automatic mode, the electrical control system automatically executes the corresponding adjustment action according to the adjustment amount.

[0023] In this technical solution, the parameter self-adjustment function calculates the corresponding adjustment value in real time through an adjustment algorithm, thereby maintaining the relevant parameters at or near the user-set target value and achieving stable operation of key components. Specifically, the adjustment algorithm calculates the corresponding adjustment value based on the user-set target parameter value and the real-time parameter value read from the sensing system. The electrical control system then controls the corresponding mechanism to make real-time adjustments by reading the adjustment value in real time. The parameter self-adjustment module automates parameter adjustment, thereby reducing reliance on manual labor in this process.

[0024] Understandably, to facilitate system debugging and testing, and to prevent safety hazards and product quality issues caused by improper parameter adjustments, the parameter self-adjustment module adopts a gradual, phased, and multi-mode adjustment approach: prompt mode, automatic mode, and off mode. In prompt mode, each adjustment control algorithm operates independently, calculating the adjustment amount and updating the corresponding variables in the sensing system data pool. The operator decides whether to adjust the actuator based on the actual situation. In automatic mode, each adjustment control algorithm operates independently, calculating the adjustment amount and updating the corresponding variables in the sensing system data pool. The electrical control system detects changes in variables and automatically adjusts the actuator in real time based on the corresponding variable values. In off mode, the adjustment control algorithms do not operate and do not update the sensing system data pool variables. The off mode serves as a protection mechanism to prevent accidental adjustments caused by operator error or parameter adjustment algorithm malfunctions, thus preventing defective products and safety hazards.

[0025] To achieve the second objective of this application, the technical solution of the second aspect of this application provides an intelligent diagnostic and maintenance system for printing equipment. The printing equipment includes a sensing system, an equipment status data storage system, an intelligent diagnostic and maintenance system, and an electrical control system. The intelligent diagnostic and maintenance system includes a fault diagnosis module, an operation and maintenance module, a parameter self-setting module, and a parameter self-adjustment module. The intelligent diagnostic and maintenance system for printing equipment includes: an acquisition module for acquiring real-time status data of the printing equipment from the sensing system and historical data of the printing equipment from the equipment status data storage system; and a diagnostic and maintenance module for performing fault diagnosis and operation and maintenance on the printing equipment based on the real-time status data and historical data. The diagnostic and maintenance module is used to perform fault diagnosis and operation and maintenance on the printing equipment based on the real-time status data and historical data. The fault diagnosis and operation maintenance specifically include: based on real-time and historical data of the printing equipment, the fault diagnosis module provides early warnings of abnormal states and trending faults of the printing equipment, and the electrical control system executes corresponding actions according to the current working mode; and / or based on historical data and user settings, the operation maintenance module performs operation and maintenance on the printing equipment; and / or based on preset empirical parameter formulas, the parameter self-setting module sets the initial process parameters of the printing equipment when changing products, and the electrical control system executes corresponding actions according to the current working mode to issue the corresponding parameters; and / or based on real-time status data of the printing equipment, the parameter self-adjustment module calculates the adjustment amount of key parameters, and the electrical control system executes corresponding adjustment commands according to the current working mode.

[0026] In this technical solution, the intelligent diagnostic and maintenance system for printing equipment includes an acquisition module and a diagnostic and maintenance module. The acquisition module acquires real-time status data of the printing equipment from the sensing system and historical data from the equipment status data storage system. The diagnostic and maintenance module performs fault diagnosis and operation maintenance on the printing equipment based on the real-time and historical data. Specifically, the fault diagnosis and operation maintenance includes: providing early warnings of abnormal states and trending faults based on the real-time and historical data, and executing corresponding actions through the electrical control system according to the current operating mode; performing operation and maintenance on the printing equipment based on historical data and user settings through the operation and maintenance module; setting initial process parameters for the printing equipment when changing products based on preset empirical parameter formulas through the parameter self-setting module, and issuing the corresponding parameters through the electrical control system according to the current operating mode; and calculating key parameter adjustment amounts through the parameter self-adjustment module based on the real-time status data, and issuing corresponding adjustment commands through the electrical control system according to the current operating mode. The intelligent diagnostic and maintenance system for printing equipment described in this application can effectively reduce reliance on manual operation experience during the printing equipment production process, reduce the frequency of manual intervention, and improve production efficiency, maintenance efficiency, and equipment safety.

[0027] To achieve the third objective of this application, the technical solution of the third aspect of this application provides an intelligent diagnostic and maintenance system for printing equipment, comprising: a fault diagnosis module, used to provide early warnings of abnormal states and trend faults of the printing equipment based on real-time status data and historical data of the printing equipment; an operation and maintenance module, used to perform operation and maintenance of the printing equipment based on historical data and user settings; a parameter self-setting module, used to set the initial process parameters of the printing equipment when changing products based on preset empirical parameter formulas; a parameter self-adjustment module, used to calculate the adjustment amount of key parameters based on real-time status data of the printing equipment; and a system function module, used for adding, deleting, modifying, and querying user accounts and / or for... The system configures and queries external system addresses and communication status; a data storage module, connected to the fault diagnosis module, operation and maintenance module, parameter self-setting module, parameter self-adjustment module, and system function module, is used to store prediction results, fault logs, monitoring settings, maintenance events, maintenance logs, maintenance settings, operation and maintenance reports, fault statistics, replacement records, system logs, process parameter recipes, parameter adjustment settings, and parameter adjustment records obtained from the fault diagnosis module, operation and maintenance module, parameter self-setting module, and parameter self-adjustment module into the local database of the intelligent diagnosis and operation and maintenance system; a communication module is used to realize data interaction and communication functions of the fault diagnosis module, operation and maintenance module, parameter self-setting module, and parameter self-adjustment module according to a preset communication protocol.

[0028] In this technical solution, the intelligent diagnostic and maintenance system for printing equipment includes a fault diagnosis module, an operation and maintenance module, a parameter self-setting module, a parameter self-adjustment module, a system function module, a data storage module, and a communication module. The fault diagnosis module provides early warnings for abnormal states and trending faults of the printing equipment based on real-time and historical data. The operation and maintenance module performs operation and maintenance on the printing equipment based on historical data and user settings. The parameter self-setting module sets the initial process parameters of the printing equipment according to preset empirical parameter formulas when changing products. The parameter self-adjustment module calculates the adjustment amount of key parameters based on real-time status data of the printing equipment. The system function module allows users to add, delete, modify, and query user accounts and / or configure and query external system addresses and communication status as needed. The data storage module is connected to the fault diagnosis module, the operation and maintenance module, the parameter self-setting module, the parameter self-adjustment module, and the system function module, respectively. It stores the prediction results, fault logs, monitoring settings, maintenance events, maintenance logs, maintenance settings, operation and maintenance reports, fault statistics, replacement records, system logs, process parameter recipes, parameter adjustment settings, and parameter adjustment records obtained from the fault diagnosis module, the operation and maintenance module, the parameter self-setting module, and the parameter self-adjustment module into the local database of the intelligent diagnosis and operation and maintenance system. The communication module is used to realize data interaction and communication functions among the fault diagnosis module, the operation and maintenance module, the parameter self-setting module, and the parameter self-adjustment module according to a preset communication protocol.

[0029] To achieve the third objective of this application, the technical solution of the third aspect of this application provides an intelligent diagnostic and maintenance system for printing equipment, including: a memory and a processor, wherein the memory stores a program or instructions that can be run on the processor, and when the processor executes the program or instructions, it implements the steps of the intelligent diagnostic and maintenance method for printing equipment of any one of the technical solutions of the first aspect, and thus has the technical effects of any one of the technical solutions of the first aspect, which will not be elaborated here.

[0030] To achieve the fourth objective of this application, the technical solution of the fourth aspect of this application provides a readable storage medium storing a program or instructions thereon. When the program or instructions are executed by a processor, they implement the steps of the intelligent diagnosis and maintenance method for printing equipment according to any one of the technical solutions of the first aspect, and thus have the technical effects of any one of the technical solutions of the first aspect, which will not be elaborated here.

[0031] Additional aspects and advantages of this application will become apparent in the following description or may be learned by practice of this application. Attached Figure Description

[0032] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a flowchart illustrating the steps of an embodiment of the intelligent diagnosis and maintenance method for printing equipment according to this application; Figure 2 This is a flowchart illustrating the steps of an embodiment of the intelligent diagnosis and maintenance method for printing equipment according to this application; Figure 3 This is a flowchart illustrating the steps of an embodiment of the intelligent diagnosis and maintenance method for printing equipment according to this application; Figure 4 This is a flowchart illustrating the steps of an embodiment of the intelligent diagnosis and maintenance method for printing equipment according to this application; Figure 5 This is a flowchart illustrating the steps of an embodiment of the intelligent diagnosis and maintenance method for printing equipment according to this application; Figure 6 This is a flowchart illustrating the steps of an embodiment of the intelligent diagnosis and maintenance method for printing equipment according to this application; Figure 7 This is a flowchart illustrating the steps of an embodiment of the intelligent diagnosis and maintenance method for printing equipment according to this application; Figure 8 This is a schematic block diagram of the intelligent diagnostic and maintenance system for printing equipment according to one embodiment of this application; Figure 9 This is a schematic block diagram of the intelligent diagnostic and maintenance system for printing equipment according to another embodiment of this application; Figure 10 This is a schematic block diagram of the intelligent diagnostic and maintenance system for printing equipment according to another embodiment of this application; Figure 11 This is a schematic diagram illustrating the working principle of an intelligent diagnostic and maintenance system for printing equipment according to an embodiment of this application; Figure 12 This is a schematic diagram illustrating the working principle of an intelligent diagnostic and maintenance system for printing equipment according to an embodiment of this application; in, Figures 8 to 10 The correspondence between the reference numerals and component names in the attached drawings is as follows: 10: Intelligent Diagnosis and Maintenance System for Printing Equipment; 110: Acquisition Module; 120: Diagnosis and Maintenance Module; 20: Intelligent Diagnosis and Maintenance System for Printing Equipment; 300: Memory; 400: Processor; 50: Intelligent Diagnosis and Maintenance System for Printing Equipment; 510: Fault Diagnosis Module; 520: Operation and Maintenance Module; 530: Parameter Self-Setting Module; 540: Parameter Self-Adjustment Module; 550: System Function Module; 560: Data Storage Module; 570: Communication Module. Detailed Implementation

[0033] To better understand the above-mentioned objectives, features, and advantages of this application, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0034] Many specific details are set forth in the following description in order to provide a full understanding of this application. However, this application may also be implemented in other ways different from those described herein. Therefore, the scope of protection of this application is not limited to the specific embodiments disclosed below.

[0035] The following reference Figures 1 to 12 This application describes intelligent diagnostic and maintenance methods and systems for printing equipment, as well as readable storage media, according to some embodiments of this application.

[0036] like Figure 1 As shown, an embodiment of the first aspect of this application provides a method for intelligent diagnosis and maintenance of printing equipment. The printing equipment includes a sensing system, an equipment status data storage system, an intelligent diagnosis and maintenance system, and an electrical control system. The intelligent diagnosis and maintenance system includes a fault diagnosis module, an operation and maintenance module, a parameter self-setting module, and a parameter self-adjustment module. The method for intelligent diagnosis and maintenance of printing equipment includes the following steps: Step S102: Obtain real-time status data of the printing equipment in the sensing system, and obtain historical data of the printing equipment in the equipment status data storage system; Step S104: Based on the real-time status data and historical data of the printing equipment, the fault diagnosis module provides early warnings for abnormal states and trending faults of the printing equipment, and the electrical control system executes corresponding actions according to the current working mode; and / or based on the historical data and user settings of the printing equipment, the operation and maintenance module performs operation and maintenance on the printing equipment; and / or based on preset empirical parameter formulas, the parameter self-setting module sets the initial process parameters of the printing equipment when changing products, and the electrical control system executes corresponding actions according to the current working mode to complete the issuance of corresponding parameters; and / or based on the real-time status data of the printing equipment, the parameter self-adjustment module calculates the adjustment amount of key parameters, and the electrical control system completes the corresponding adjustment instructions according to the current working mode.

[0037] According to the intelligent diagnosis and maintenance method for printing equipment provided in this embodiment, the intelligent diagnosis and maintenance system first interacts with the equipment status data storage system and the sensing system to obtain real-time status data of the printing equipment from the sensing system and historical data of the printing equipment from the equipment status data storage system through relevant communication protocols. Then, based on the real-time and historical data of the printing equipment, the data layer summarizes and analyzes the collected equipment status data, and various machine learning and control algorithms are used to monitor and adjust the entire machine in real time. Specifically, based on the real-time and historical data of the printing equipment, the fault diagnosis module provides early warnings for abnormal states and trending faults of the printing equipment, and the electrical control system executes corresponding actions according to the current working mode. Based on the historical data and user settings, the operation and maintenance module performs operation and maintenance on the printing equipment. Based on preset empirical parameter formulas, the parameter self-setting module sets the initial process parameters of the printing equipment when changing products, and the electrical control system executes corresponding actions according to the current working mode to issue the corresponding parameters. Based on the real-time status data of the printing equipment, the parameter self-adjustment module calculates the adjustment amount of key parameters, and the electrical control system executes corresponding adjustment commands according to the current working mode. The intelligent diagnosis and maintenance method for printing equipment proposed in this application can effectively reduce the reliance on manual operation experience during the printing equipment production process, reduce the frequency of manual intervention, and improve production efficiency, maintenance efficiency, and equipment safety.

[0038] The fault diagnosis module, operation and maintenance module, parameter self-setting module, and parameter self-adjustment module are all software modules. The fault diagnosis module provides early warnings about abnormal states and trending faults of the printing equipment based on real-time and historical data. The operation and maintenance module performs operation and maintenance on the printing equipment based on historical data and user settings. The parameter self-setting module sets the initial process parameters of the printing equipment according to preset empirical parameter formulas when changing products. The parameter self-adjustment module calculates the adjustment amount of key parameters based on real-time status data of the printing equipment.

[0039] like Figure 2 As shown, according to an embodiment of the intelligent diagnosis and maintenance method for printing equipment proposed in this application, based on real-time status data and historical data of the printing equipment, a fault diagnosis module provides early warnings of abnormal states and trend faults of the printing equipment, and the electrical control system executes corresponding actions according to the current working mode. Specifically, the method includes the following steps: Step S202: Preprocess and / or classify the sensor data to obtain real-time status data of the printing equipment; Step S204: Analyze the fault status based on real-time data from the printing equipment using a fault diagnosis algorithm, and calculate the fault prediction result; Step S206: The fault diagnosis module notifies the electrical control system to perform corresponding actions according to the working mode.

[0040] In this embodiment, based on real-time and historical data of the printing equipment, a fault diagnosis module provides early warnings of abnormal states and trending faults in the printing equipment. The electrical control system then executes corresponding actions based on the current operating mode. Specifically, the sensor data is first preprocessed and classified to obtain real-time status data of the printing equipment. Then, a fault diagnosis algorithm analyzes the fault status based on the real-time data and calculates the fault prediction result. Finally, the fault diagnosis module notifies the electrical control system to execute corresponding actions based on the operating mode, thereby avoiding a large number of defective products and reducing the occurrence of safety accidents.

[0041] like Figure 3 As shown, based on the real-time status data of the printing equipment, the fault diagnosis module notifies the electrical control system to perform corresponding actions according to the working mode, specifically including the following steps: Step S302: Obtain the working mode of the fault diagnosis module. The working mode of the fault diagnosis module includes one of the following: independent monitoring mode, online communication mode, online control mode, and shutdown mode. Step S304: When the fault diagnosis module is in the off mode, the fault diagnosis algorithm does not perform fault prediction and does not write the fault status variable of the sensing system. Step S306: When the fault diagnosis module is in independent monitoring mode, online communication mode, or online control mode, the fault diagnosis algorithm monitors in real time based on sensor data, calculates the fault prediction result, and provides early warning and / or alarm prompts in the intelligent diagnosis and maintenance system. Step S308: Write the fault prediction results into the local database fault log of the intelligent diagnosis and maintenance system; Step S310: When the fault diagnosis module is in online communication mode or online control mode, the fault diagnosis module writes the fault prediction result into the fault status variable of the sensing system. Step S312: Detect the changes in the corresponding parameters of the sensing system through the electrical control system; Step S314: When the fault diagnosis module is in online communication mode, the operator decides whether to execute the mechanism action based on the actual working conditions. Step S316: When the fault diagnosis module is in online control mode, the electrical control system executes the mechanism action based on the changes in the corresponding parameters of the sensing system.

[0042] In this embodiment, to facilitate system debugging and testing and prevent printing defects or production accidents caused by improper adjustment of key parameters, the monitoring setting submodule includes multiple working modes for users to switch between, depending on the level of intelligence: independent monitoring mode, online communication mode, online control mode, and shutdown mode. In independent monitoring mode, each fault prediction model operates normally and calculates prediction and / or diagnostic results in real time based on the online sensor data acquired by the sensing system. The system saves the prediction and / or diagnostic results to the intelligent diagnosis and maintenance system database, but does not write to / update the corresponding variables in the sensing system data pool. That is, the electrical control system will not detect changes in the sensing system's related variables and therefore does not execute any actions. In online communication mode, each fault prediction model operates normally and calculates prediction and / or diagnostic results in real time based on the online sensor data acquired by the sensing system. The system saves the results to the local database and simultaneously changes the corresponding variables in the sensing system data pool in real time. When the electrical control system detects changes in the corresponding variables, it determines whether to issue a task to the actuator based on the actual operating conditions. In online control mode, each fault prediction model operates normally and calculates prediction and / or diagnostic results in real time based on online sensor data acquired by the sensing system. The system saves the results to a local database and simultaneously updates the corresponding variables in the sensing system's data pool. When the electrical control system detects a change in the corresponding variable, it controls the relevant mechanisms to perform the appropriate actions based on the specific variable value. In shutdown mode, the fault diagnosis model does not operate and does not communicate with the electrical control system. The purpose of writing corresponding variables into the sensing system is to allow other systems, such as the electrical control system, to detect updates to control and / or regulation quantities and read these data, thus enabling data interaction and communication.

[0043] like Figure 4 As shown, according to an embodiment of the intelligent diagnosis and maintenance method for printing equipment proposed in this application, the printing equipment is operated and maintained through an operation and maintenance module based on historical data and user settings of the printing equipment. Specifically, the method includes the following steps: Step S402: Configure and remind users of maintenance-related matters periodically and / or non-periodically according to user settings; Step S404: Based on the historical data of the printing equipment, use relevant data statistical methods to statistically summarize the start-up and shutdown time information and fault classification information, and generate an operation and maintenance report; Step S406: Based on historical data of the printing equipment, use relevant algorithms to obtain fault trend analysis, maintenance and operation suggestions, as well as spare parts usage analysis and reserve prediction; Step S408: Execute the corresponding action according to the working mode of the operation and maintenance module.

[0044] In this embodiment, the operation and maintenance module mainly includes three functions. First, it sets and reminds users of maintenance-related matters periodically or non-periodically according to their needs, such as maintenance reminders for specific components or timely lubricant replacement reminders. Users can add, delete, modify, and query these specific reminders as needed. Second, based on historical data of the printing equipment obtained from the equipment status data storage system, it uses relevant data statistical methods to statistically summarize start-up and shutdown time information and fault classification information, providing different forms of operation and maintenance reports and offering users intuitive data summary analysis. Third, based on historical data of the printing equipment, it uses relevant algorithms to obtain fault trend analysis, maintenance and operation suggestions, as well as spare parts usage analysis and reserve prediction. Finally, it executes corresponding actions according to the working mode of the operation and maintenance module, thereby making the printing equipment maintenance function more comprehensive and user-friendly.

[0045] like Figure 5 As shown, the intelligent diagnosis and maintenance method for printing equipment according to an embodiment of this application executes corresponding actions based on the working mode of the operation and maintenance module, specifically including the following steps: Step S502: Obtain the operating mode of the operation and maintenance module. The operating mode of the operation and maintenance module includes one of the following: independent monitoring mode, online communication mode, and shutdown mode; Step S504: When the operation and maintenance module is in the off mode, the operation and maintenance module will not remind users of maintenance-related matters, nor will it write the corresponding variables of the sensing system. Step S506: When the operation and maintenance module is in independent monitoring mode or online communication mode, the operation and maintenance module will provide periodic / non-periodic reminders based on the set maintenance-related matters; Step S508: Write the periodic / non-periodic reminder content into the corresponding database of the intelligent diagnosis and maintenance system; Step S510: When the operation and maintenance module is in online communication mode, write the corresponding variables of the sensing system; Step S512: Detect the changes in the corresponding parameters of the sensing system through an external system; Step S514: When the operation and maintenance module is in online communication mode, the external system performs corresponding actions based on the changes in the corresponding parameters of the sensing system.

[0046] In this embodiment, to facilitate system debugging and testing and prevent printing defects or production accidents caused by improper adjustment of key parameters, the monitoring settings submodule includes multiple working modes for users to switch between, depending on the level of intelligence. Specifically, the operation and maintenance module includes independent monitoring mode, online communication mode, and shutdown mode. Mode settings and switching can be adjusted within the maintenance settings submodule. In independent monitoring mode, the operation and maintenance module provides periodic / non-periodic reminders based on the set maintenance-related matters, but does not write corresponding variables to the sensing system. External systems such as electrical control systems and human-machine interaction systems will not detect changes in these variables and therefore will not execute any actions. In online communication mode, the operation and maintenance module provides periodic / non-periodic reminders based on the set maintenance-related matters. Maintenance reminders are automatically displayed in a pop-up window within the system and are written to / updated to the corresponding variables in the sensing system. When an external system detects a change in variables, it will execute the corresponding action. In shutdown mode, all maintenance reminders are set to the off state. This means the system will no longer provide any maintenance reminders, nor will it write to / update corresponding variables in the sensing system. External systems will not detect changes in variables and will not execute any actions.

[0047] like Figure 6 As shown, according to an embodiment of the intelligent diagnosis and maintenance method for printing equipment proposed in this application, based on a preset empirical parameter formula, the initial process parameters of the printing equipment are set by the parameter self-setting module when the equipment changes products, and the corresponding parameters are issued by the electrical control system according to the current working mode. Specifically, the method includes the following steps: Step S602: Obtain the working mode of the parameter self-setting module. The working mode of the parameter self-setting module includes one of the following: prompt mode, automatic mode, and off mode; Step S604: Based on the user's selection, obtain the preset experience parameter formula for the corresponding product from the local database of the intelligent diagnosis and maintenance system; Step S606: Execute the corresponding action according to the working mode of the parameter self-setting module; Step S608: When the parameter self-setting module is in the off mode, the corresponding variables of the sensing system are not written; Step S610: When the parameter self-setting module is in prompt mode and / or automatic mode, write all the parameters of the preset experience parameter formula of the corresponding product into the corresponding variables of the sensing system in sequence. Step S612: The electrical control system detects and sends flag bits to the corresponding parameters of the sensing system; Step S614: When the parameter self-setting module is in prompt mode, the operator decides whether to execute the mechanism action based on the parameter issuance flag and the actual working conditions. Step S616: When the parameter self-setting module is in automatic mode, the electrical control system controls the corresponding actuator to complete the action according to the parameter sending flag and the corresponding parameters of the sensing system.

[0048] In this embodiment, the parameter self-setting module functions to set the initial process parameter formula corresponding to the current product with a single click when the equipment changes products. Specifically, the production of different products involves different and numerous process parameters. When changing products, it is necessary to configure the initial process parameters into the electrical control system one by one, which involves a large amount of manual operation. The purpose of the parameter self-setting module is to summarize the initial empirical process parameters corresponding to different products in the form of different formulas, forming different empirical parameter formulas. Thus, when changing products, the parameter self-setting module can be used to set them with a single click, saving equipment changeover time and improving work efficiency.

[0049] Understandably, to facilitate system debugging and testing, and to prevent printing defects or production accidents caused by improper adjustment of key parameters, the parameter self-setting module offers multiple operating modes for users to choose from, depending on the level of intelligence: prompt mode, automatic mode, and off mode. Specifically, when changing products, the user selects and applies the initial process parameter formula for the corresponding product on the parameter self-setting module interface. When the parameter self-setting module is in prompt mode or automatic mode, it reads all parameter values ​​of the corresponding formula from the local database of the intelligent diagnostics and maintenance system and automatically writes / updates the corresponding variables in the sensing system. When the parameter self-setting module is in prompt mode, the electrical control system detects changes in the corresponding variables and decides whether to issue parameters based on the current actual operating conditions. When the parameter self-setting module is in automatic mode, the electrical control system detects changes in the corresponding variables and issues the specific parameters to the corresponding actuators to complete the specified actions. When the parameter self-setting module is in off mode, the intelligent diagnostics and maintenance system does not write / update the corresponding variables in the sensing system, and the external system does not execute the corresponding actions. The purpose of the shutdown mode is to protect the currently effective process parameter values ​​from being changed by mistake, thereby reducing the possibility of scrap or safety accidents caused by misoperation.

[0050] like Figure 7 As shown, according to an embodiment of the intelligent diagnosis and maintenance method for printing equipment proposed in this application, the method calculates the adjustment amount of key parameters through a parameter self-adjustment module based on the real-time status data of the printing equipment, and completes the corresponding adjustment command through the electrical control system according to the current working mode. Specifically, the method includes the following steps: Step S702: Obtain the working mode of the parameter self-adjustment module. The working mode of the parameter self-adjustment module includes one of the following: prompt mode, automatic mode, and off mode; Step S704: The parameter self-adjustment module performs corresponding actions according to the parameter self-adjustment module working mode set by the user; Step S706: When the parameter self-adjustment module is in the off mode, the parameter self-adjustment related algorithm does not work, and the parameter self-adjustment module does not write the corresponding variables of the sensing system; Step S708: When the parameter self-adjustment module is in prompt mode and / or automatic mode, the parameter adjustment amount is calculated in real time by the adjustment algorithm based on the real-time status data of the device and the user setting value. Step S710: Write the adjustment amount into the corresponding variable of the sensing system; Step S712: Detect changes in the corresponding variables of the sensing system through the electrical control system; Step S714: When the parameter self-adjustment module is in prompt mode, the operator decides whether the electrical control system should perform the corresponding adjustment action according to the adjustment amount based on the actual working conditions. Step S716: When the parameter self-adjustment module is in automatic mode, the electrical control system automatically performs the corresponding adjustment action according to the adjustment amount.

[0051] In this embodiment, the parameter self-adjustment function is to calculate the corresponding adjustment amount in real time through an adjustment algorithm, and then maintain the corresponding parameter at or near the user-set target value, thereby achieving stable operation of key components. Specifically, the adjustment algorithm calculates the corresponding adjustment value based on the user-set target parameter value and the real-time parameter value read from the sensing system. The electrical control system controls the corresponding mechanism to make real-time adjustments by reading the adjustment value in real time.

[0052] Understandably, to facilitate system debugging and testing, and to prevent safety hazards and product quality issues caused by improper parameter adjustments, a gradual, phased, and multi-mode adjustment approach is adopted, namely, a prompting mode, an automatic mode, and a shutdown mode. In prompting mode, each adjustment control algorithm operates independently, calculating the adjustment amount and updating the corresponding variables in the sensing system's data pool. The electrical control system then decides whether to adjust the actuator based on the actual situation. In automatic mode, each adjustment control algorithm operates independently, calculating the adjustment amount and updating the corresponding variables in the sensing system's data pool. The electrical control system directly adjusts the actuator in real time after detecting changes in the variables. In shutdown mode, the adjustment control algorithms do not operate and do not update the sensing system's data pool variables. The shutdown mode serves as a protective mechanism to prevent accidental adjustments caused by operator error or parameter adjustment algorithm malfunctions, thus preventing the generation of defective products and safety hazards.

[0053] In some embodiments, the fault diagnosis module optionally includes a prediction result module, a fault log module, a vibration monitoring module, a pressure monitoring module, a temperature monitoring module, a transmission monitoring module, other monitoring modules, and a monitoring setting module. The prediction result module displays all fault diagnosis and / or prediction results. The fault log module records all fault handling records, categorized into different types such as handled, unhandled, and ignored. For handled fault records, details can be queried, including handling time, handler, and component replacement. The vibration monitoring module, pressure monitoring module, temperature monitoring module, transmission monitoring module, and other monitoring modules categorize and summarize all corresponding types of monitoring data and display the current operating status of the corresponding components, i.e., normal or abnormal. The monitoring setting module adjusts the operating mode of the fault diagnosis module and sets the sensor monitoring switches.

[0054] In some embodiments, the operation and maintenance module may optionally include one or a combination of the following: a maintenance event module, a maintenance log module, a maintenance settings module, an operation and maintenance report module, a fault statistics module, a replacement record module, and a system log module. The maintenance event module displays current maintenance items and provides maintenance prompts; the maintenance log categorizes and displays all maintenance records, including processed, unprocessed, and ignored items. The maintenance settings module allows switching between the above modules, adding, deleting, modifying, and querying maintenance items, and enabling / disabling corresponding maintenance reminders. The operation and maintenance report module uses statistical methods to categorize and statistically analyze downtime / uptime, fault records, and maintenance records, displaying them in different icon formats. The replacement record module records details of all spare parts replacements. The system log module records all records of the intelligent diagnostic and operation and maintenance system, including but not limited to status change records, system connection on / off records, fault records, maintenance records, parameter issuance records, and sensor switch records.

[0055] In some embodiments, this includes, but is not limited to, printing press speed, paper width, starting speed, maximum / minimum printing speed, positioning angle, number of ink-absorbing sheets, and side gauge overflow width.

[0056] In some embodiments, key parameters include the pressure of the wiping roller, the printing pressure of the cylinder, the water return temperature of the printing plate cylinder, the water return temperature of the ink fountain roller, and the ink temperature.

[0057] like Figure 8As shown, an embodiment of the second aspect of this application provides a printing equipment intelligent diagnosis and maintenance system 10 for printing equipment. The printing equipment includes a sensing system, an equipment status data storage system, an intelligent diagnosis and maintenance system, and an electrical control system. The intelligent diagnosis and maintenance system includes a fault diagnosis module, an operation and maintenance module, a parameter self-setting module, and a parameter self-adjustment module. The printing equipment intelligent diagnosis and maintenance system 10 includes: an acquisition module 110, used to acquire real-time status data of the printing equipment from the sensing system and historical data of the printing equipment from the equipment status data storage system; and a diagnosis and maintenance module 120, used to perform fault diagnosis and operation and maintenance on the printing equipment based on the real-time status data and historical data of the printing equipment. The diagnosis and maintenance module 120 is used to perform fault diagnosis and operation and maintenance on the printing equipment based on the real-time status data and historical data of the printing equipment. The fault diagnosis and operation maintenance specifically include: based on real-time and historical data of the printing equipment, the fault diagnosis module provides early warnings of abnormal states and trending faults of the printing equipment, and the electrical control system executes corresponding actions according to the current working mode; and / or based on historical data and user settings, the operation maintenance module performs operation and maintenance on the printing equipment; and / or based on preset empirical parameter formulas, the parameter self-setting module sets the initial process parameters of the printing equipment when changing products, and the electrical control system executes corresponding actions according to the current working mode to issue the corresponding parameters; and / or based on real-time status data of the printing equipment, the parameter self-adjustment module calculates the adjustment amount of key parameters, and the electrical control system executes corresponding adjustment commands according to the current working mode.

[0058] The intelligent diagnostic and maintenance system 10 for printing equipment provided in this embodiment includes an acquisition module 110 and a diagnostic and maintenance module 120. The acquisition module 110 acquires real-time status data of the printing equipment from the sensing system and historical data of the printing equipment from the equipment status data storage system. The diagnostic and maintenance module 120 performs fault diagnosis and operation maintenance on the printing equipment based on the real-time status data and historical data. Specifically, the fault diagnosis and operation maintenance includes: providing early warnings of abnormal states and trending faults of the printing equipment through the fault diagnosis module, and executing corresponding actions according to the current working mode through the electrical control system; performing operation maintenance on the printing equipment through the operation maintenance module based on historical data and user settings; and setting initial process parameters of the printing equipment when changing products through the parameter self-setting module, and issuing the corresponding parameters by executing corresponding actions according to the current working mode through the electrical control system. Based on real-time status data of the printing equipment, the parameter self-adjustment module calculates the adjustment amount of key parameters, and the electrical control system executes the corresponding adjustment commands according to the current working mode. Through the intelligent diagnostic and maintenance system for printing equipment of this application, the reliance on manual operation experience can be effectively reduced during the printing equipment production process, thereby reducing the frequency of manual intervention, improving production efficiency, maintenance efficiency, and equipment safety.

[0059] like Figure 10As shown, an embodiment of the third aspect of this application provides an intelligent diagnostic and maintenance system 50 for printing equipment, including: a fault diagnosis module 510, used to provide early warning reminders for abnormal states and trend faults of the printing equipment based on real-time status data and historical data of the printing equipment; an operation and maintenance module 520, used to perform operation and maintenance on the printing equipment based on historical data and user settings; a parameter self-setting module 530, used to set the initial process parameters of the printing equipment when changing products based on preset empirical parameter formulas; a parameter self-adjustment module 540, used to calculate the adjustment amount of key parameters based on real-time status data of the printing equipment; and a system function module 550, used to add, delete, modify, and query user accounts and / or configure and query external system addresses and communication status as needed by the user. The data storage module 560 is connected to the fault diagnosis module 510, the operation and maintenance module 520, the parameter self-setting module 530, the parameter self-adjustment module 540, and the system function module 550, respectively. It is used to store the prediction results, fault logs, monitoring settings, maintenance events, maintenance logs, maintenance settings, operation and maintenance reports, fault statistics, replacement records, system logs, process parameter recipes, parameter adjustment settings, and parameter adjustment records obtained by the fault diagnosis module 510, the operation and maintenance module 520, the parameter self-setting module 530, and the parameter self-adjustment module 540 into the local database of the intelligent diagnosis and operation and maintenance system. The communication module 570 is used to realize data interaction and communication functions between the fault diagnosis module 510, the operation and maintenance module 520, the parameter self-setting module 530, and the parameter self-adjustment module 540 according to a preset communication protocol.

[0060] In this embodiment, the intelligent diagnostic and maintenance system 50 for printing equipment includes a fault diagnosis module 510, an operation and maintenance module 520, a parameter self-setting module 530, a parameter self-adjustment module 540, a system function module 550, a data storage module 560, and a communication module 570. The fault diagnosis module 510 provides early warnings for abnormal states and trending faults of the printing equipment based on real-time status data and historical data. The operation and maintenance module 520 performs operation and maintenance on the printing equipment based on historical data and user settings. The parameter self-setting module 530 sets the initial process parameters of the printing equipment when changing products, based on preset empirical parameter formulas. The parameter self-adjustment module 540 calculates the adjustment amount of key parameters based on real-time status data of the printing equipment. The system function module 550 is used to add, delete, modify, and query user accounts and / or configure and query external system addresses and communication status as needed by the user. The data storage module 560 is connected to the fault diagnosis module 510, the operation and maintenance module 520, the parameter self-setting module 530, the parameter self-adjustment module 540, and the system function module 550, respectively. It stores the prediction results, fault logs, monitoring settings, maintenance events, maintenance logs, maintenance settings, operation and maintenance reports, fault statistics, replacement records, system logs, process parameter recipes, parameter adjustment settings, and parameter adjustment records obtained by the fault diagnosis module 510, the operation and maintenance module 520, the parameter self-setting module 530, and the parameter self-adjustment module 540 into the local database of the intelligent diagnosis and operation and maintenance system. The communication module 570 is used to realize the data interaction and communication functions of the fault diagnosis module 510, the operation and maintenance module 520, the parameter self-setting module 530, and the parameter self-adjustment module 540 according to a preset communication protocol.

[0061] like Figure 9 As shown, an embodiment of the fourth aspect of this application provides a printing equipment intelligent diagnosis and maintenance system 20, including: a memory 300 and a processor 400, wherein the memory 300 stores a program or instructions that can be run on the processor 400, and when the processor 400 executes the program or instructions, it implements the steps of the printing equipment intelligent diagnosis and maintenance method of any one of the embodiments of the first aspect, and thus has the technical effects of any embodiment of the first aspect, which will not be repeated here.

[0062] The fifth aspect of this application provides a readable storage medium storing a program or instructions thereon. When the program or instructions are executed by a processor, they implement the steps of the intelligent diagnosis and maintenance method for printing equipment according to any one of the embodiments of the first aspect, and thus have the technical effects of any of the embodiments of the first aspect, which will not be repeated here.

[0063] like Figure 11 and Figure 12 As shown, a printing equipment intelligent diagnosis and maintenance system 10 according to a specific embodiment of this application includes a communication layer and a data layer. The communication layer includes interfaces such as a communication interface, a database interface, and an Ethernet interface. The data layer includes a fault diagnosis module, an operation and maintenance module, a parameter self-setting module, a parameter self-adjustment module, and a system function module. The printing equipment intelligent diagnosis and maintenance system communicates with the equipment status data storage system, the intelligent sensing system, and the electrical control system through the communication layer. It obtains historical data of the printing equipment through the equipment status data storage system, obtains real-time equipment status data through the sensing system, writes / updates alarm and / or warning information, parameter setpoints, and parameter adjustment values ​​through the sensing system, and controls the actuators to complete specified actions through the electrical control system.

[0064] In this application, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; the term "multiple" refers to two or more unless otherwise explicitly defined. Terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; "joining" can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0065] In the description of this application, it should be understood that the terms "up," "down," "front," "back," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or module referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0066] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0067] The above are merely preferred embodiments of this application and are not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for intelligent diagnosis and maintenance of printing equipment, characterized in that, The printing equipment includes a sensing system, an equipment status data storage system, an intelligent diagnostic and maintenance system, and an electrical control system. The intelligent diagnostic and maintenance system includes a fault diagnosis module, an operation and maintenance module, a parameter self-setting module, and a parameter self-adjustment module. The operation and maintenance module includes one or a combination of the following: a maintenance event module, a maintenance log module, a maintenance setting module, an operation and maintenance report module, a fault statistics module, a replacement record module, and a system log module. The maintenance event module displays current maintenance items and provides maintenance prompts. The maintenance log categorizes and displays all maintenance records, including processed, unprocessed, and ignored items. The maintenance setting module allows switching between work modules, adding, deleting, modifying, and querying maintenance items, and enabling / disabling corresponding maintenance reminders. The operation and maintenance report module uses statistical methods to categorize and statistically analyze downtime / startup time, fault records, and maintenance records, displaying them in different icon formats. The replacement record module records details of all spare parts replacements. The system log module is used to record all records of the intelligent diagnostics and maintenance system; The intelligent diagnostic and maintenance method for printing equipment includes: Acquire real-time status data of the printing equipment in the sensing system, and acquire historical data of the printing equipment in the equipment status data storage system; Based on the real-time status data and historical data of the printing equipment, fault diagnosis and operation maintenance of the printing equipment are performed. Specifically, the step of performing fault diagnosis and operation maintenance on the printing equipment based on the real-time status data and historical data of the printing equipment includes: Based on the real-time status data and historical data of the printing equipment, the fault diagnosis module provides early warnings of abnormal states and trending faults of the printing equipment, and the electrical control system executes corresponding actions according to the current operating mode; and Based on the historical data of the printing equipment and user settings, the printing equipment is operated and maintained through the operation and maintenance module; and Based on preset empirical parameter formulas, the initial process parameters of the printing equipment are set by the parameter self-setting module when changing products, and the corresponding parameters are issued by the electrical control system according to the current working mode; and Based on the real-time status data of the printing equipment, the adjustment amount of key parameters is calculated by the parameter self-adjustment module, and the corresponding adjustment command is completed by the electrical control system according to the current working mode; the key parameters include the pressure of the wiping roller, the printing roller pressure, the water return temperature of the printing plate roller, the water return temperature of the ink fountain roller, and the ink temperature. The method involves using the fault diagnosis module to provide early warnings about abnormal states and trending faults of the printing equipment based on real-time status data and historical data, and using the electrical control system to execute corresponding actions according to the current operating mode. Specifically, this includes: Preprocessing and / or classifying the sensor data yields real-time status data of the printing equipment; The fault diagnosis algorithm analyzes the fault status based on the real-time data of the printing equipment and calculates the fault prediction result. The fault diagnosis module notifies the electrical control system to perform corresponding actions based on the operating mode. The fault diagnosis module notifies the electrical control system to perform corresponding actions based on the operating mode, specifically including: The working mode of the fault diagnosis module is obtained, and the working mode of the fault diagnosis module includes one of the following: independent monitoring mode, online communication mode, online control mode, and shutdown mode; When the fault diagnosis module is in the off mode, the fault diagnosis algorithm does not perform fault prediction and does not write the fault status variables of the sensing system. When the fault diagnosis module operates in independent monitoring mode, online communication mode, or online control mode, the fault diagnosis algorithm performs real-time monitoring based on the sensor data, calculates the fault prediction result, and provides early warning and / or alarm prompts in the intelligent diagnosis and maintenance system. The fault prediction results are written into the local database fault log of the intelligent diagnosis and maintenance system. When the fault diagnosis module operates in online communication mode or online control mode, the fault diagnosis module writes the fault prediction result into the fault status variable of the sensing system. The electrical control system detects the changes in the corresponding parameters of the sensing system. When the fault diagnosis module is in online communication mode, the operator decides whether to execute the mechanism action based on the actual working conditions. When the fault diagnosis module is in online control mode, the electrical control system executes the mechanism based on the changes in the corresponding parameters of the sensing system.

2. The intelligent diagnosis and maintenance method for printing equipment according to claim 1, characterized in that, The step of performing operation and maintenance on the printing equipment based on historical data and user settings through the operation and maintenance module specifically includes: Based on user settings, periodic and / or non-periodic settings and reminders can be configured for maintenance-related matters; Based on the historical data of the printing equipment, relevant data statistical methods are used to statistically summarize the shutdown and start-up time information and fault classification information, and to provide an operation and maintenance report; Based on the historical data of the printing equipment, relevant algorithms are used to obtain fault trend analysis, maintenance and operation suggestions, as well as spare parts usage analysis and reserve prediction. Perform corresponding actions according to the working mode of the operation and maintenance module.

3. The intelligent diagnosis and maintenance method for printing equipment according to claim 2, characterized in that, The step of performing corresponding actions according to the working mode of the operation and maintenance module specifically includes: The operating mode of the operation and maintenance module is obtained, and the operating mode of the operation and maintenance module includes one of the following: independent monitoring mode, online communication mode, and shutdown mode; When the operation and maintenance module is in the off mode, the operation and maintenance module will not remind users of maintenance-related matters, nor will it write the corresponding variables of the sensing system. When the operation and maintenance module is in independent monitoring mode or online communication mode, the operation and maintenance module will provide periodic / non-periodic reminders based on the maintenance-related matters set. The content of the periodic / non-periodic reminders is written into the corresponding database of the intelligent diagnosis and maintenance system; When the operation and maintenance module is in online communication mode, the corresponding variables of the sensing system are written. The changes in the corresponding parameters of the sensing system are detected by an external system. When the operation and maintenance module is in online communication mode, the external system performs corresponding actions based on the changes in the corresponding parameters of the sensing system.

4. The intelligent diagnosis and maintenance method for printing equipment according to claim 1, characterized in that, The process involves setting the initial process parameters of the printing equipment based on preset empirical parameter formulas via the parameter self-setting module when changing products, and then issuing the corresponding parameters by executing corresponding actions according to the current working mode through the electrical control system. Specifically, this includes: The working mode of the parameter self-setting module is obtained, and the working mode of the parameter self-setting module includes one of the following: prompt mode, automatic mode, and off mode; According to the user's selection, the system retrieves the preset experience parameter formula for the corresponding product from its local database. The module executes corresponding actions according to the working mode of the self-defined parameters. When the parameter self-setting module is in the off mode, the corresponding variables of the sensing system are not written. When the parameter self-setting module is in prompt mode and / or automatic mode, all parameters of the preset experience parameter formula of the corresponding product are sequentially written into the corresponding variables of the sensing system. The electrical control system detects and sends flag bits to the sensing system based on the corresponding parameters. When the parameter self-setting module is in prompt mode, the operator decides whether to execute the mechanism action based on the parameter flag and the actual working conditions. When the parameter self-setting module operates in automatic mode, the electrical control system controls the corresponding actuators to complete actions based on the flag bits issued by the parameter and the corresponding parameters of the sensing system.

5. The intelligent diagnosis and maintenance method for printing equipment according to claim 1, characterized in that, The process of calculating key parameter adjustment amounts based on real-time status data of the printing equipment through the parameter self-adjustment module, and then issuing corresponding adjustment commands through the electrical control system according to the current operating mode, specifically includes: The operating mode of the parameter self-adjustment module is obtained, and the operating mode of the parameter self-adjustment module includes one of the following: prompt mode, automatic mode, and off mode; The parameter self-adjustment module performs corresponding actions according to the parameter self-adjustment module working mode set by the user. When the parameter self-adjustment module is in the off mode, the parameter self-adjustment related algorithm does not work, and the parameter self-adjustment module does not write the corresponding variables of the sensing system. When the parameter self-adjustment module is in prompt mode and / or automatic mode, the parameter adjustment amount is calculated in real time by an adjustment algorithm based on the real-time status data of the device and the user-set value. Write the adjustment amount into the corresponding variable of the sensing system; The electrical control system detects changes in corresponding variables of the sensing system. When the parameter self-adjustment module is in prompt mode, the operator decides whether the electrical control system should perform the corresponding adjustment action according to the adjustment amount based on the actual working conditions. When the parameter self-adjustment module operates in automatic mode, the electrical control system automatically performs corresponding adjustment actions based on the adjustment amount.

6. A printing equipment intelligent diagnosis and maintenance system, wherein the printing equipment intelligent diagnosis and maintenance system is used to implement the steps of the printing equipment intelligent diagnosis and maintenance method as described in any one of claims 1 to 5, characterized in that, For printing equipment, the printing equipment includes a sensing system, an equipment status data storage system, an intelligent diagnostic and maintenance system, and an electrical control system. The intelligent diagnostic and maintenance system includes a fault diagnosis module, an operation and maintenance module, a parameter self-setting module, and a parameter self-adjustment module, including: The acquisition module (110) is used to acquire real-time status data of the printing equipment in the sensing system and acquire historical data of the printing equipment in the equipment status data storage system. The diagnostic and maintenance module (120) is used to perform fault diagnosis and operation maintenance on the printing equipment based on the real-time status data and historical data of the printing equipment. Specifically, this includes: providing early warnings about abnormal states and trending faults of the printing equipment through the fault diagnosis module based on the real-time status data and historical data, and executing corresponding actions through the electrical control system according to the current working mode; performing operation maintenance on the printing equipment through the operation maintenance module based on the historical data and user settings; setting the initial process parameters of the printing equipment when changing products through the parameter self-setting module based on preset empirical parameter formulas, and issuing the corresponding parameters through the electrical control system according to the current working mode; and calculating the adjustment amount of key parameters through the parameter self-adjustment module based on the real-time status data of the printing equipment, and issuing corresponding adjustment commands through the electrical control system according to the current working mode.

7. A smart diagnostic and maintenance system for printing equipment, characterized in that, include: A memory (300) and a processor (400), wherein the memory (300) stores a program or instructions that can be run on the processor (400), and the processor (400) executes the program or instructions to implement the steps of the intelligent diagnosis and maintenance method for printing equipment as described in any one of claims 1 to 5.

8. A readable storage medium having a program or instructions stored thereon, characterized in that, When the program or the instructions are executed by the processor, they implement the steps of the intelligent diagnosis and maintenance method for printing equipment as described in any one of claims 1 to 5.

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