Printing process supervision method and system based on Internet of Things

Abstract

The invention discloses a printing process supervision method and system based on the Internet of Things. The method comprises the following steps: monitoring multi-dimensional parameter data of printing equipment in a printing process; according to the multi-dimensional parameter data, the overall operation efficiency index of the printing process is calculated; obtaining a preset target efficiency value of the printing process, and comparing the overall operation efficiency index with the preset target efficiency value to calculate a printing quality risk score of the printing process; whether the printing quality risk score exceeds a preset risk threshold value or not is judged, and if yes, an early warning signal is sent to a printing control terminal through the Internet of Things, so that an operator of the printing control terminal supervises the printing process. By utilizing the embodiment of the invention, the printing process can be intelligently supervised and optimized by utilizing real-time monitoring and analysis of the multi-dimensional parameter data and combining the overall operation efficiency index and the printing quality risk score.

Description

Technical Field

[0001] The present invention belongs to the field of printing technology, and in particular to a printing process monitoring method and system based on the Internet of Things. Background Art

[0002] In modern manufacturing, the printing industry is an important part and is widely used in packaging, publishing, advertising and other fields. With the continuous improvement of market requirements for product quality and the urgent need for production efficiency, the traditional printing process faces many challenges, including process instability, material waste, equipment failure and long production cycle. In order to improve the controllability of the production process and product quality, the industry generally begins to seek advanced technical means to monitor and optimize the process.

[0003] Traditional printing process monitoring methods mainly rely on manual inspections and empirical judgments. This method is not only inefficient, but also fails to reflect problems in the printing process in a timely manner, which can easily lead to unstable product quality and increased production costs. In addition, with the continuous development of printing technology, the introduction of new materials and new processes has made the printing process increasingly complex, and a single monitoring method can no longer meet the needs of real-time monitoring of multi-dimensional parameters. Summary of the invention

[0004] The purpose of the present invention is to provide a printing process supervision method and system based on the Internet of Things to solve the shortcomings of the prior art. It can utilize real-time monitoring and analysis of multi-dimensional parameter data, combined with the overall operating efficiency index and printing quality risk score, to achieve intelligent supervision and optimization of the printing process.

[0005] An embodiment of the present application provides a printing process supervision method based on the Internet of Things, the method comprising: Monitor the multi-dimensional parameter data of printing equipment during the printing process; Calculating the overall operation efficiency index of the printing process according to the multi-dimensional parameter data; Obtaining a preset target efficiency value of the printing process, and comparing the overall operation efficiency index with the preset target efficiency value to calculate a printing quality risk score of the printing process; It is determined whether the printing quality risk score exceeds a preset risk threshold. If it exceeds the preset risk threshold, an early warning signal is sent to the printing control terminal through the Internet of Things, so that the operator of the printing control terminal can supervise the printing process.

[0006] Optionally, calculating the overall operation efficiency index of the printing process according to the multi-dimensional parameter data includes: Converting the data value of each parameter in the multidimensional parameter data into an operating status score of each parameter; The overall operation efficiency index of the printing process is calculated according to the operation status score.

[0007] Optionally, the overall operation efficiency index is calculated as follows: Among them, the is the overall operating efficiency index, is the running status score of the i-th parameter, is the weight factor of the i-th parameter, is the preset target state score, Z is the historical failure rate as a fault correction factor, k is the state adjustment factor, and n is the number of parameters.

[0008] Optionally, the calculation formula for the printing quality risk score is: Among them, the is a printing quality risk score, wherein Q is a preset target efficiency value, and D is an external interference factor that affects quality fluctuations.

[0009] Another embodiment of the present application provides a printing process supervision system based on the Internet of Things, the system comprising: Monitoring module, used to monitor the multi-dimensional parameter data of the printing equipment during the printing process; A calculation module, used for calculating the overall operation efficiency index of the printing process according to the multi-dimensional parameter data; A comparison module, used for obtaining a preset target efficiency value of a printing process, and comparing the overall operation efficiency index with the preset target efficiency value to calculate a printing quality risk score of the printing process; The early warning module is used to determine whether the printing quality risk score exceeds a preset risk threshold. If it exceeds the preset risk threshold, an early warning signal is sent to the printing control terminal through the Internet of Things so that the operator of the printing control terminal can supervise the printing process.

[0010] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when running.

[0011] Yet another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the methods described above.

[0012] Compared with the prior art, the present invention provides a printing process supervision method based on the Internet of Things, which monitors the multi-dimensional parameter data of the printing equipment during the printing process; calculates the overall operation efficiency index of the printing process according to the multi-dimensional parameter data; obtains the preset target efficiency value of the printing process, and compares the overall operation efficiency index with the preset target efficiency value to calculate the printing quality risk score of the printing process; determines whether the printing quality risk score exceeds the preset risk threshold, and if it exceeds the preset risk threshold, sends an early warning signal to the printing control terminal through the Internet of Things, so that the operator of the printing control terminal can supervise the printing process, thereby realizing intelligent supervision and optimization of the printing process by utilizing real-time monitoring and analysis of the multi-dimensional parameter data, combined with the overall operation efficiency index and the printing quality risk score. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A hardware structure block diagram of a computer terminal for a printing process supervision method based on the Internet of Things provided by an embodiment of the present invention; Figure 2 A schematic diagram of a process flow of a printing process supervision method based on the Internet of Things provided by an embodiment of the present invention; Figure 3 A schematic diagram of the structure of a printing process monitoring system based on the Internet of Things provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0014] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0015] The embodiment of the present invention first provides a printing process supervision method based on the Internet of Things. The method can be applied to electronic devices, such as computer terminals, specifically ordinary computers, etc.

[0016] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal of a printing process monitoring method based on the Internet of Things provided by an embodiment of the present invention. Figure 1 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0017] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any one of the printing process supervision methods based on the Internet of Things.

[0018] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0019] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any one of the printing process supervision methods based on the Internet of Things.

[0020] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0021] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0022] See also Figure 2 The embodiment of the present invention provides a printing process supervision method based on the Internet of Things, which may include the following steps: S201, monitoring multi-dimensional parameter data of the printing device during the printing process; In the IoT-based printing process supervision method, monitoring the multi-dimensional parameter data of printing equipment during the printing process refers to collecting key information of the printing process in real time through various sensors and monitoring equipment. These multi-dimensional parameter data include but are not limited to temperature, pressure, ink viscosity, humidity, printing speed, vibration frequency and optical quality indicators. Through sensors arranged at different positions of the printing press, the system can continuously obtain and record the real-time values ​​of these parameters, providing basic data for subsequent efficiency calculations and quality assessments. This monitoring process can instantly reflect the operating status of the equipment, helping operators understand whether the current printing conditions meet the preset standards, so as to adjust the equipment settings in a targeted manner to ensure the quality of the final product.

[0023] Specifically, a series of sensors and data acquisition modules can be installed on the printing equipment. These devices can include digital temperature sensors, pressure sensors, and ink viscometers. All sensors are connected to a centralized control unit, which is responsible for collecting data information from each sensor in real time. The data acquisition module will regularly transmit these parameter data to a cloud server or local monitoring system via a wireless or wired network. This system can store, process and analyze the collected data, and is equipped with a user-friendly interface for operators to view real-time data and historical records.

[0024] By monitoring key parameters in real time, operators can promptly detect potential faults or deviations, reducing production interruptions and material waste caused by equipment problems. Secondly, the systematic collection and analysis of multi-dimensional parameters can provide an accurate basis for the subsequent calculation of the operating efficiency index and quality risk score, thereby achieving a comprehensive assessment of printing quality. This data-driven management approach not only improves production efficiency, but also enhances the controllability and transparency of the printing process, ultimately helping companies gain greater advantages in a highly competitive market environment.

[0025] S202, calculating the overall operation efficiency index of the printing process according to the multi-dimensional parameter data; Calculating the overall operating efficiency index of the printing process based on the multi-dimensional parameter data is a key step, which aims to evaluate the overall performance of the printing process through a comprehensive analysis of different monitoring parameters. Specifically, the process involves quantifying the collected multi-dimensional parameter data (such as equipment temperature, pressure, ink viscosity, etc.) and converting it into a comprehensive operating efficiency index (OEI) through a certain algorithm. This index not only reflects the operating status of the equipment under the current operating conditions, but also provides a quantitative basis for subsequent quality risk assessment.

[0026] The purpose of calculating the overall operating efficiency index is to achieve comprehensive monitoring and management of the printing process. By quantifying the impact of different parameters and their comprehensive performance, operators can clearly understand the operating status of printing equipment, identify potential hidden dangers and anomalies in a timely manner, and take corresponding measures to adjust and optimize. This not only helps to improve production efficiency and reduce downtime, but also improves the quality of the final product and reduces rework and losses caused by quality fluctuations.

[0027] Specifically, the data value of each parameter in the multidimensional parameter data may be converted into an operating status score of each parameter; In this step, the collected multi-dimensional parameter data must first be standardized so that the value of each monitoring parameter can be converted into an operating status score. The operating status score reflects the health of each parameter in its current state, and a certain scoring system (such as normalization, scoring system, etc.) is usually used to quantify the performance of each parameter. For example, if the actual value of a parameter is close to its optimal operating range, the operating status score of the parameter will be higher; otherwise, the score will be lower.

[0028] The significance of this step is to convert complex multi-dimensional data into a score form that is easy to understand and process, so that operators can intuitively judge the operating status of each key parameter of the equipment. This scoring method provides a basis for the subsequent calculation of the overall operating efficiency index, allowing different parameters to be compared and integrated with a unified standard, which helps to deeply analyze the health of the printing process.

[0029] In specific implementation, reasonable scoring criteria can be set based on the historical data of each parameter and the preset target value. For example, a scoring system based on interval division is designed to divide the range of parameter values ​​into multiple intervals and assign corresponding scores to each interval. In actual operation, the data acquisition system automatically reads the parameter value, calculates the score through the preset scoring algorithm, and stores the score in the central processing unit for subsequent use.

[0030] The overall operation efficiency index of the printing process is calculated according to the operation status score.

[0031] In this step, the overall operational efficiency index (OEI) is calculated by combining the operational status scores of all parameters. The score of each parameter is weighted based on a preset weight factor to reflect its importance to the overall operational efficiency. This method can effectively balance the impact of different parameters and ensure that the overall efficiency index can truly reflect the actual operation of the printing process.

[0032] The purpose of calculating the overall operating efficiency index is to provide a quantitative indicator to help operators quickly evaluate the health of the printing process. Through this index, operators can clearly identify whether the current operating efficiency meets the preset goals, and also provide a basis for adjusting production parameters. This quantitative method allows problems that arise in the printing process to be identified and resolved more quickly, thereby effectively reducing production risks and improving product consistency and reliability.

[0033] Specifically, a method for calculating the overall operating efficiency index may be: The formula aims to comprehensively and accurately calculate the overall operating efficiency index (OEI) by introducing parameter scores, weight factors, target state scores and fault correction factors to reflect the actual performance of the printing process. The formula adopts the form of weighted average, which not only takes into account the direct impact of each monitoring parameter, but also introduces dynamic feedback of the target state through the index adjustment mechanism, providing more flexible adjustment capabilities. At the same time, the introduction of historical failure rates makes the formula adaptive and can be corrected in real time according to different operating conditions.

[0034] Among them, the It is the overall operating efficiency index, which is a comprehensive indicator reflecting the operating efficiency of the entire printing process. The higher the value, the better the efficiency. is the running status score of the i-th parameter, reflecting the health of the parameter in the current state, and can quantify the impact of each parameter on the printing process. is the weight factor of the i-th parameter, is the preset target state score, which is the set ideal operating state. By comparing it with the current OEI, the deviation of the system can be effectively monitored. The Z is the historical failure rate as a fault correction factor, which reflects the failure frequency encountered by the equipment during historical operation. By introducing this factor, the OEI can be adjusted to a certain extent to adapt to the actual operation of the equipment. The k is the state adjustment factor, which is used to dynamically adjust the calculation of the OEI. It can flexibly respond to changes between the preset state and the actual state by adjusting its value. The n is the number of parameters.

[0035] S203, obtaining a preset target efficiency value of the printing process, and comparing the overall operation efficiency index with the preset target efficiency value to calculate a printing quality risk score of the printing process; In this step, the system first needs to obtain the preset target efficiency value (Q) of the printing process, which is the ideal operating efficiency set based on the company's production requirements, historical data and industry standards. This target value provides operators with a clear benchmark for evaluating the performance of the current printing process. Next, by comparing the calculated overall operating efficiency index (OEI) with the preset target efficiency value, the system can quantify the printing quality risk score (PQRS) of the printing process. When the OEI is lower than Q, the system will calculate a risk score that reflects the degree of quality risk of the current printing process, which provides a scientific basis for subsequent quality management and process optimization.

[0036] The core significance of this step is to provide a quantifiable risk assessment tool for printing quality. By comparing the actual performance with the preset target, the operator can intuitively judge the health of the production process. If the printing quality risk score is high, the operator can take timely measures to make adjustments to prevent product quality problems. This process not only helps to maintain production stability, but also provides important support for enterprises in market competition, ensuring the dual improvement of production efficiency and product quality.

[0037] In specific implementation, enterprises can use data analysis systems to set and adjust the target efficiency value (Q) of the printing process. System administrators will set the ideal operating efficiency based on historical production data, market demand and industry standards, and input the value into the central control system. The system will automatically obtain the real-time overall operating efficiency index (OEI) from the sensor, and compare it with the preset target efficiency value (Q) to calculate the printing quality risk score (PQRS). Finally, the analysis results will be presented to the operator in the form of visual charts to facilitate real-time monitoring and decision-making.

[0038] Specifically, a calculation formula for printing quality risk score can be:

[0039] This formula is used to calculate the Print Quality Risk Score (PQRS), the main purpose of which is to quantitatively evaluate the relative stability of the quality of the current printing process in order to promptly identify risks that may cause quality problems. This scoring mechanism provides decision makers with an intuitive and clear quality risk assessment tool by comparing the overall operating efficiency index (OEI) with the preset target efficiency value (Q) and combining it with the external interference factor (D). Its design logic ensures the scientificity and operability of quality management.

[0040] Among them, the The printing quality risk score is used to quantify the quality risk level of the current printing process. The higher the value, the greater the risk of the current printing quality, and vice versa. The Q is the preset target efficiency value, which is the target value set by the enterprise based on ideal production conditions and historical data. It is used as an evaluation standard and represents the ideal production efficiency. The D is the external interference factor that affects quality fluctuations, which quantifies those external factors that may affect printing quality (such as environmental changes, material fluctuations, etc.). The introduction of this factor makes the risk score more comprehensive, taking into account various potential impacts in actual production.

[0041] Through this design, the formula can comprehensively evaluate multiple variables in the printing process and provide a more accurate and reliable quality risk analysis. Combining risk scoring with overall operational efficiency can help companies better manage and optimize the printing process, thereby ensuring the stability of the final product quality and improving production efficiency.

[0042] S204, determining whether the printing quality risk score exceeds a preset risk threshold. If so, sending an early warning signal to a printing control terminal via the Internet of Things so that an operator of the printing control terminal can supervise the printing process.

[0043] In this step, the system will monitor the calculated Print Quality Risk Score (PQRS) in real time to determine whether it exceeds the preset risk threshold. If the PQRS is greater than the set risk threshold, the system will automatically trigger the early warning mechanism and send an early warning signal to the printing control terminal through the Internet of Things. This process can quickly inform operators of the potential risks in the current printing workflow, helping them take timely measures to prevent possible quality problems or production failures, and ensure the stability of the production process and the reliability of product quality.

[0044] The core significance of this step is to achieve real-time monitoring and feedback mechanism of the printing process. By setting risk thresholds, enterprises can quantify risks and manage them effectively. When the risk score exceeds the threshold, timely warning can prevent small problems from turning into big failures, reduce production losses and improve the consistency and qualified rate of products. In addition, this measure not only improves production safety, but also improves the reaction speed and decision-making efficiency of operators, thereby enhancing overall production efficiency and quality control capabilities.

[0045] In specific implementation, enterprises can use an integrated monitoring system that receives and updates the Print Quality Risk Score (PQRS) in real time. The preset risk threshold can be set based on the company's historical data and quality standards. Once the risk score exceeds this threshold, the system will send an early warning message to the printing control terminal (such as the operator's smart device or control panel) through the equipped IoT module. This information generally includes the specific value of the risk score, abnormal parameters, and recommended countermeasures. Operators can quickly judge the severity of the problem based on this information and make corresponding adjustments, such as adjusting equipment parameters, stopping the machine for inspection, or replacing materials, so as to ensure the smooth progress of printing production.

[0046] It can be seen that the multi-dimensional parameter data of the printing equipment during the printing process is monitored; the overall operation efficiency index of the printing process is calculated based on the multi-dimensional parameter data; the preset target efficiency value of the printing process is obtained, and the overall operation efficiency index is compared with the preset target efficiency value to calculate the printing quality risk score of the printing process; it is determined whether the printing quality risk score exceeds the preset risk threshold, and if it exceeds the preset risk threshold, an early warning signal is sent to the printing control terminal through the Internet of Things, so that the operator of the printing control terminal can supervise the printing process, thereby realizing intelligent supervision and optimization of the printing process by utilizing real-time monitoring and analysis of multi-dimensional parameter data, combined with the overall operation efficiency index and the printing quality risk score.

[0047] Another embodiment of the present invention provides a printing process monitoring system based on the Internet of Things, see Figure 3 , the system may include: Monitoring module 301, used to monitor multi-dimensional parameter data of the printing device during the printing process; A calculation module 302, for calculating the overall operation efficiency index of the printing process according to the multi-dimensional parameter data; A comparison module 303 is used to obtain a preset target efficiency value of the printing process, and compare the overall operation efficiency index with the preset target efficiency value to calculate a printing quality risk score of the printing process; The early warning module 304 is used to determine whether the printing quality risk score exceeds a preset risk threshold. If it exceeds the preset risk threshold, an early warning signal is sent to the printing control terminal through the Internet of Things so that the operator of the printing control terminal can supervise the printing process.

[0048] It can be seen that the multi-dimensional parameter data of the printing equipment during the printing process is monitored; the overall operation efficiency index of the printing process is calculated based on the multi-dimensional parameter data; the preset target efficiency value of the printing process is obtained, and the overall operation efficiency index is compared with the preset target efficiency value to calculate the printing quality risk score of the printing process; it is determined whether the printing quality risk score exceeds the preset risk threshold, and if it exceeds the preset risk threshold, an early warning signal is sent to the printing control terminal through the Internet of Things, so that the operator of the printing control terminal can supervise the printing process, thereby realizing intelligent supervision and optimization of the printing process by utilizing real-time monitoring and analysis of multi-dimensional parameter data, combined with the overall operation efficiency index and the printing quality risk score.

[0049] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0050] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps: S201, monitoring multi-dimensional parameter data of the printing device during the printing process; S202, calculating the overall operation efficiency index of the printing process according to the multi-dimensional parameter data; S203, obtaining a preset target efficiency value of the printing process, and comparing the overall operation efficiency index with the preset target efficiency value to calculate a printing quality risk score of the printing process; S204, determining whether the printing quality risk score exceeds a preset risk threshold. If so, sending an early warning signal to a printing control terminal via the Internet of Things so that an operator of the printing control terminal can supervise the printing process.

[0051] It can be seen that the multi-dimensional parameter data of the printing equipment during the printing process is monitored; the overall operation efficiency index of the printing process is calculated based on the multi-dimensional parameter data; the preset target efficiency value of the printing process is obtained, and the overall operation efficiency index is compared with the preset target efficiency value to calculate the printing quality risk score of the printing process; it is determined whether the printing quality risk score exceeds the preset risk threshold, and if it exceeds the preset risk threshold, an early warning signal is sent to the printing control terminal through the Internet of Things, so that the operator of the printing control terminal can supervise the printing process, thereby realizing intelligent supervision and optimization of the printing process by utilizing real-time monitoring and analysis of multi-dimensional parameter data, combined with the overall operation efficiency index and the printing quality risk score.

[0052] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0053] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0054] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program: S201, monitoring multi-dimensional parameter data of the printing device during the printing process; S202, calculating the overall operation efficiency index of the printing process according to the multi-dimensional parameter data; S203, obtaining a preset target efficiency value of the printing process, and comparing the overall operation efficiency index with the preset target efficiency value to calculate a printing quality risk score of the printing process; S204, determining whether the printing quality risk score exceeds a preset risk threshold. If so, sending an early warning signal to a printing control terminal via the Internet of Things so that an operator of the printing control terminal can supervise the printing process.

[0055] It can be seen that the multi-dimensional parameter data of the printing equipment during the printing process is monitored; the overall operation efficiency index of the printing process is calculated based on the multi-dimensional parameter data; the preset target efficiency value of the printing process is obtained, and the overall operation efficiency index is compared with the preset target efficiency value to calculate the printing quality risk score of the printing process; it is determined whether the printing quality risk score exceeds the preset risk threshold, and if it exceeds the preset risk threshold, an early warning signal is sent to the printing control terminal through the Internet of Things, so that the operator of the printing control terminal can supervise the printing process, thereby realizing intelligent supervision and optimization of the printing process by utilizing real-time monitoring and analysis of multi-dimensional parameter data, combined with the overall operation efficiency index and the printing quality risk score.

[0056] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made according to the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. A printing process supervision method based on the Internet of Things, characterized in that: The method comprises: Monitor the multi-dimensional parameter data of printing equipment during the printing process; Calculating the overall operation efficiency index of the printing process according to the multi-dimensional parameter data; Obtaining a preset target efficiency value of the printing process, and comparing the overall operation efficiency index with the preset target efficiency value to calculate a printing quality risk score of the printing process; It is determined whether the printing quality risk score exceeds a preset risk threshold. If it exceeds the preset risk threshold, an early warning signal is sent to the printing control terminal through the Internet of Things, so that the operator of the printing control terminal can supervise the printing process.

2. The method according to claim 1, characterized in that Calculating the overall operation efficiency index of the printing process according to the multi-dimensional parameter data includes: Converting the data value of each parameter in the multidimensional parameter data into an operating status score of each parameter; The overall operation efficiency index of the printing process is calculated according to the operation status score.

3. The method according to claim 2, characterized in that The overall operating efficiency index is calculated as follows: Among them, the is the overall operating efficiency index, is the running status score of the i-th parameter, is the weight factor of the i-th parameter, is the preset target state score, Z is the historical failure rate as a fault correction factor, k is the state adjustment factor, and n is the number of parameters.

4. The method according to claim 3, characterized in that The calculation formula for the printing quality risk score is: Among them, the is a printing quality risk score, wherein Q is a preset target efficiency value, and D is an external interference factor that affects quality fluctuations.

5. A printing process monitoring system based on the Internet of Things, characterized in that: The system comprises: Monitoring module, used to monitor the multi-dimensional parameter data of the printing equipment during the printing process; A calculation module, used for calculating the overall operation efficiency index of the printing process according to the multi-dimensional parameter data; A comparison module, used for obtaining a preset target efficiency value of a printing process, and comparing the overall operation efficiency index with the preset target efficiency value to calculate a printing quality risk score of the printing process; The early warning module is used to determine whether the printing quality risk score exceeds a preset risk threshold. If it exceeds the preset risk threshold, an early warning signal is sent to the printing control terminal through the Internet of Things so that the operator of the printing control terminal can supervise the printing process.

6. The system according to claim 5, characterized in that The computing module is specifically used for: Converting the data value of each parameter in the multidimensional parameter data into an operating status score of each parameter; The overall operation efficiency index of the printing process is calculated according to the operation status score.

7. The system according to claim 6, characterized in that The overall operating efficiency index is calculated as follows: Among them, the is the overall operating efficiency index, is the running status score of the i-th parameter, is the weight factor of the i-th parameter, is the preset target state score, Z is the historical failure rate as a fault correction factor, k is the state adjustment factor, and n is the number of parameters.

8. The system according to claim 7, characterized in that The calculation formula for the printing quality risk score is: Among them, the is a printing quality risk score, wherein Q is a preset target efficiency value, and D is an external interference factor that affects quality fluctuations.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 4 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 4.

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