Intelligent remote monitoring system for printing machine production

Abstract

The invention discloses an intelligent remote monitoring system for printing machine production, and particularly relates to the technical field of production remote control. Comprising a printing machine production data acquisition module, a printing machine production data transmission module, a printing machine production intelligent processing module, a printing machine production intelligent early warning module, a printing machine network transmission performance processing module, a printing machine automatic production analysis module and a printing machine automatic production evaluation module. The production operation monitoring information and the network connection quality information of the target printing machine equipment are collected, the operation and maintenance intelligent monitoring index, the fault early warning response index and the network connection quality optimization index are obtained through calculation, and therefore the automatic production evaluation coefficient is obtained, and equipment distributed in different areas can be automatically evaluated. Information is transmitted in real time through the remote monitoring center, unified management and monitoring can be achieved, the cross-regional production management and coordination efficiency of an enterprise is improved, and the intelligent management level of printer production of the enterprise is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of production remote control, and more specifically, to an intelligent remote monitoring system for printing machine production. Background Art

[0002] In the digital age, the application of various intelligent equipment is becoming more and more common, playing an irreplaceable role in various fields. As an important part of the publishing industry, modern printing machinery is further developing in the direction of remote automation, linkage, and serialization. The stability and efficiency of its operation directly affect the production and development of the entire factory.

[0003] By connecting the core controller of the printing machinery with the intelligent gateway, combining 4G, 5G, WiFi, GPRS and other communication methods to achieve remote monitoring and management control of the equipment, and analyzing various data from the controller, early warning of equipment failures can be achieved, thereby avoiding losses caused by equipment downtime due to failures, extending the service life of the equipment, and improving the overall performance of the equipment.

[0004] However, there are still some shortcomings in its actual use. For example, the existing printing press production relies on manual monitoring of the working status, which is not only inefficient, but also often cannot be handled in time once a failure occurs, resulting in production interruption, affecting product quality and delivery time; With the real-time transmission and remote access of printing press equipment data, network connection stability issues may cause data transmission interruption or remote control failure, affecting the normal operation of the equipment. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an intelligent remote monitoring system for printing press production, which is used to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: an intelligent remote monitoring system for printing press production, comprising: Printing machine production data acquisition module: used to collect production operation monitoring information of the target printing machine equipment, the printing machine production data acquisition module includes an operation and maintenance data monitoring unit and a fault diagnosis data monitoring unit, and the production operation monitoring information includes operation and maintenance data and fault diagnosis data.

[0007] Printing machine production data transmission module: used to transmit the production operation monitoring information of the target printing machine equipment to the remote monitoring center through the network, and monitor the network connection quality information of the target printing machine equipment network transmission.

[0008] Printing machine production intelligent processing module: used to calculate the operation and maintenance intelligent monitoring index of the target printing machine equipment according to the operation and maintenance data monitoring unit, compare it with the preset operation and maintenance intelligent monitoring index, and send the printing machine equipment processing measures through the remote monitoring center.

[0009] Printing machine production intelligent early warning module: used to calculate the fault early warning response index of the target printing machine equipment according to the fault diagnosis data monitoring unit, compare it with the preset fault early warning response index, and send early warning instructions through the remote monitoring center.

[0010] Printing machine network transmission performance processing module: used to receive the network connection quality information of the printing machine production data transmission module, calculate the network connection quality optimization index of the target printing machine equipment, compare it with the preset network connection quality optimization index, and process it.

[0011] Printing machine automated production analysis module: used to calculate the automated production evaluation coefficient of the target printing machine equipment based on the target printing machine equipment's operation and maintenance intelligent monitoring index, fault warning response index, and network connection quality optimization index.

[0012] Printing machine automated production assessment module: used to obtain the automated production assessment coefficient of the target printing machine equipment, compare it with the preset automated production assessment coefficient, and process it.

[0013] Preferably, the specific collection content of the printing press production data collection module is: Operation and maintenance data monitoring unit: collects production efficiency indicators and equipment utilization indicators of target printing equipment, marked as , ,in =1, 2, ... n, Expressed as The number of the printing press equipment; Fault diagnosis data monitoring unit: collects the downtime, fault occurrence times, and pass rate of the target printing press equipment, and marks them as , , ,in =1, 2, ... n, Expressed as The number of a printing press device.

[0014] Preferably, the printing press production data transmission module is specifically: Step S01: obtaining the production operation monitoring information of the target printing press equipment collected by the printing press production data collection module, transmitting it to the remote monitoring center through the network, and monitoring the network connection quality information of the network transmission of the target printing press equipment; Step S02: The network connection quality information includes: the network connection time, network delay time, and number of lost data packets of the target printing press device.

[0015] Preferably, the specific processing method of the printing press production intelligent processing module is: Step S01: The calculation formula of the production efficiency index is: ,in Expressed as The production efficiency index of each printing press equipment, Expressed as The printing speed of each printing press device, Expressed as The working hours of each printing press equipment, Expressed as The actual output of each printing press; Step S02: The calculation formula of the equipment utilization index is: ,in Expressed as Equipment utilization index of each printing press equipment, Expressed as The total production cost of a printing press equipment, Expressed as The ink consumption of each printing press equipment; Step S03: Obtain the average and minimum values ​​of the production efficiency index, marked as , , calculate the preset production efficiency index: ,in Expressed as a preset production efficiency indicator, It is expressed as the minimum value of production efficiency index, Expressed as the average value of production efficiency index, Expressed as the total number of printing press equipment; Step S04: Obtain the average and minimum values ​​of the equipment utilization index, marked as , , calculate the preset equipment utilization index: ,in Represented as a preset device utilization indicator, It is expressed as the minimum value of the device utilization index. Expressed as the average value of equipment utilization index, Expressed as the total number of printing press equipment; Step S05: The calculation formula of the operation and maintenance intelligent monitoring index is: ,in Expressed as The operation and maintenance intelligent monitoring index of printing press equipment, Expressed as The production efficiency index of each printing press equipment, Expressed as Equipment utilization index of each printing press equipment, Expressed as a preset production efficiency indicator, It is expressed as a preset equipment utilization index, and e is expressed as a natural constant; Step S06: Obtain the operation and maintenance intelligent monitoring index of the target printing machine equipment, and compare it with the preset operation and maintenance intelligent monitoring index. If the operation and maintenance intelligent monitoring index of a printing machine is less than the preset operation and maintenance intelligent monitoring index, it indicates that there is an abnormality in the operation of the printing machine equipment, and the working status of the abnormal equipment should be sent to the equipment management terminal through the remote monitoring center. Otherwise, it indicates that there is no abnormality in the operation of the printing machine equipment.

[0016] Preferably, the specific warning method of the printing press production intelligent warning module is: Step S01: Obtain the average number of failures of the target printing press device and calculate the error degree of the failures. ,in Expressed as The error degree of the number of failures of each printing press equipment, Expressed as Number of failures of each printing press device, Expressed as the average number of failure occurrences; Step S02: The calculation formula of the fault warning response index is: ,in Expressed as Fault warning response index of each printing press equipment, Expressed as Downtime of printing press equipment, Indicated as the preset downtime, Expressed as The error degree of the number of failures of each printing press equipment, Expressed as the maximum pass rate, Expressed as The qualification rate of each printing press equipment; Step S03: Obtain the fault warning response index of the target printing machine equipment and compare it with the preset fault warning response index. If the fault warning response index of a printing machine is greater than the preset fault warning response index, a device fault alarm instruction is sent through the remote monitoring center. Otherwise, it indicates that there is no abnormality in the production of the printing machine equipment.

[0017] Preferably, the specific processing method of the printing press network transmission performance processing module is: Step S01: Obtain the total operating time of the target printing press device and calculate the network connectivity rate: ,in Expressed as Network connectivity rate of printing press equipment, Expressed as Network connection time for each printing press device, Expressed as The total operating time of each printing press equipment; Step S02: Obtain the average network delay time and average number of lost data packets of the communication network operator used for network transmission of the target printing press device, and calculate the standard deviation of the network delay: , standard deviation of number of lost packets: ; Step S03: The calculation formula of the network connection quality optimization index is: ,in Expressed as The network connection quality optimization index of each printing press device, Expressed as Network connectivity rate of printing press equipment, Expressed as The network latency of each printing device, Expressed as the average network delay time, Expressed as The standard deviation of network latency for each printer device, Expressed as Number of lost packets per printer device, It is expressed as the average number of lost data packets. Expressed as The standard deviation of the number of lost packets per printer device, Expressed as a natural constant; Step S04: Obtain the network connection quality optimization index of the target printing device, and compare it with the preset network connection quality optimization index. If the network connection quality optimization index of a printing machine is greater than the preset network connection quality optimization index, it indicates that there is an abnormality in the data transmission network connection performance of the printing machine device, and the network connection status of the abnormal device should be sent to the device management terminal through the remote monitoring center. Otherwise, it indicates that there is no abnormality in the network connection of the printing machine device.

[0018] Preferably, the calculation formula of the automated production evaluation coefficient is: ,in Expressed as The automation production evaluation coefficient of each printing press equipment, Expressed as The operation and maintenance intelligent monitoring index of printing press equipment, Expressed as Fault warning response index of each printing press equipment, Expressed as The network connection quality optimization index of each printing press device.

[0019] Preferably, the specific evaluation method of the printing press automated production evaluation module is: Obtain the automation production evaluation coefficient of the target printing equipment and compare it with the preset automation production evaluation coefficient. If the automation production evaluation coefficient of a printing machine is less than the preset automation production evaluation coefficient, it indicates that there is an abnormality in the automation production of the printing equipment, and the abnormal equipment should be sent to the equipment management terminal through the remote monitoring center. Otherwise, it indicates that there is no abnormality in the automation production of the printing equipment.

[0020] Technical effects and advantages of the present invention: The present invention provides an intelligent remote monitoring system for printing press production, which transmits the collected production operation monitoring information of target printing press equipment to a remote monitoring center through a printing press production data transmission module, monitors the network connection quality information of the target printing press equipment network transmission, further analyzes and obtains the automatic production evaluation coefficient of the target printing press equipment, compares it with the preset automatic production evaluation coefficient, and identifies whether there is an abnormality in the automatic production of the printing equipment, thereby achieving real-time transmission of production operation monitoring information of printing press equipment distributed in different areas through the remote monitoring center, performing data analysis and automatic processing, achieving unified management and monitoring, facilitating enterprises to carry out cross-regional production management and coordination, and improving the intelligent management level of the enterprise's printing press production; The present invention provides an intelligent remote monitoring system for printing press production. Through the printing press production intelligent processing module, the operation and maintenance intelligent monitoring index of the target printing press equipment is calculated according to the operation and maintenance data monitoring unit, and compared with the preset operation and maintenance intelligent monitoring index. If the operation and maintenance intelligent monitoring index of a printing press is less than the preset operation and maintenance intelligent monitoring index, it indicates that the operation of the printing press equipment is abnormal, and the working state of the abnormal equipment should be sent to the equipment management terminal through the remote monitoring center. Otherwise, it indicates that the operation of the printing press equipment is normal, which further makes up for the subjective error caused by the fault diagnosis relying on manual inspection, is conducive to realizing the automatic monitoring and abnormal warning of the printing equipment, greatly improves the operation and maintenance efficiency, and avoids the expansion of losses. The present invention provides an intelligent remote monitoring system for printing machine production. Through the intelligent early warning module for printing machine production, a fault early warning response index of a target printing machine device is calculated according to a fault diagnosis data monitoring unit, and compared with a preset fault early warning response index. If the fault early warning response index of a printing machine is greater than the preset fault early warning response index, a device fault alarm instruction is sent through a remote monitoring center. Otherwise, it indicates that there is no abnormality in the production of the printing machine equipment. Through intelligent early warning, the enterprise can issue an alarm in advance according to the fault early warning response index before the printing equipment fails, thereby giving the management personnel enough time to intervene and handle the problem, reducing the losses such as production stagnation and product quality problems caused by equipment failure, ensuring the continuity and stability of production, and thus improving the production efficiency and the quality level of production output. The present invention provides an intelligent remote monitoring system for printing press production. Through a printing press network transmission performance processing module, a network connection quality optimization index of a target printing press device is calculated according to network connection quality information, and the index is compared with a preset network connection quality optimization index. If the network connection quality optimization index of a certain printing press is greater than the preset network connection quality optimization index, it indicates that there is an abnormality in the network connection performance of the data transmission of the printing press device, and the network connection status of the abnormal device should be sent to the device management terminal through a remote monitoring center. Otherwise, it indicates that there is no abnormality in the network connection of the printing press device. The management personnel can remotely understand the network connection status of each printing press device, and accurately locate the abnormal device through intelligent data analysis and processing, thereby improving the convenience and efficiency of management, thereby optimizing the network connection of the remote transmission of printing press equipment data, and further improving the overall performance of the printing press production line. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the system module process connection of the present invention.

[0022] Figure 2 It is a schematic diagram of the structure of the printing press production data acquisition module of the present invention. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] See also Figure 1As shown, the present invention provides an intelligent remote monitoring system for printing press production, including a printing press production data acquisition module, a printing press production data transmission module, a printing press production intelligent processing module, a printing press production intelligent early warning module, a printing press network transmission performance processing module, a printing press automated production analysis module, and a printing press automated production evaluation module.

[0025] The printing press production data acquisition module is connected to the printing press production data transmission module, the printing press production data transmission module is connected to the printing press production intelligent processing module, the printing press production intelligent early warning module and the printing press network transmission performance processing module, the printing press production intelligent processing module, the printing press production intelligent early warning module and the printing press network transmission performance processing module are connected to the printing press automated production analysis module, and the printing press automated production analysis module is connected to the printing press automated production evaluation module.

[0026] See also Figure 2 As shown, the printing press production data acquisition module is used to collect production operation monitoring information of the target printing press equipment. The printing press production data acquisition module includes an operation and maintenance data monitoring unit and a fault diagnosis data monitoring unit. The production operation monitoring information includes operation and maintenance data and fault diagnosis data.

[0027] In a possible design, the specific collection content of the printing press production data collection module is: Operation and maintenance data monitoring unit: collects production efficiency indicators and equipment utilization indicators of target printing equipment, marked as , ,in =1, 2, ... n, Expressed as The number of the printing press equipment; Fault diagnosis data monitoring unit: collects the downtime, fault occurrence times, and pass rate of the target printing press equipment, and marks them as , , ,in =1, 2, ... n, Expressed as The number of a printing press device.

[0028] The printing press production data transmission module is used to transmit the production operation monitoring information of the target printing press equipment to the remote monitoring center through the network, and monitor the network connection quality information of the network transmission of the target printing press equipment.

[0029] In a possible design, the printing press production data transmission module is specifically: Step S01: obtaining the production operation monitoring information of the target printing press equipment collected by the printing press production data collection module, transmitting it to the remote monitoring center through the network, and monitoring the network connection quality information of the network transmission of the target printing press equipment; Step S02: The network connection quality information includes: the network connection time, network delay time, and number of lost data packets of the target printing press device.

[0030] The printing press production intelligent processing module is used to calculate the operation and maintenance intelligent monitoring index of the target printing press equipment according to the operation and maintenance data monitoring unit, compare it with the preset operation and maintenance intelligent monitoring index, and send the printing press equipment processing measures through the remote monitoring center.

[0031] In a possible design, the specific processing method of the printing press production intelligent processing module is: Step S01: The calculation formula of the production efficiency index is: ,in Expressed as The production efficiency index of each printing press equipment, Expressed as The printing speed of each printing press device, Expressed as The working hours of each printing press equipment, Expressed as The actual output of each printing press; Step S02: The calculation formula of the equipment utilization index is: ,in Expressed as Equipment utilization index of each printing press equipment, Expressed as The total production cost of a printing press equipment, Expressed as The ink consumption of each printing press equipment; Step S03: Obtain the average and minimum values ​​of the production efficiency index, marked as , , calculate the preset production efficiency index: ,in Expressed as a preset production efficiency indicator, It is expressed as the minimum value of production efficiency index, Expressed as the average value of production efficiency index, Expressed as the total number of printing press equipment; Step S04: Obtain the average and minimum values ​​of the equipment utilization index, marked as , , calculate the preset equipment utilization index: ,in Represented as a preset device utilization indicator, It is expressed as the minimum value of the device utilization index. Expressed as the average value of equipment utilization index, Expressed as the total number of printing press equipment; Step S05: The calculation formula of the operation and maintenance intelligent monitoring index is: ,in Expressed as The operation and maintenance intelligent monitoring index of printing press equipment, Expressed as The production efficiency index of each printing press equipment, Expressed as Equipment utilization index of each printing press equipment, Expressed as a preset production efficiency indicator, It is expressed as a preset equipment utilization index, and e is expressed as a natural constant; Step S06: Obtain the operation and maintenance intelligent monitoring index of the target printing machine equipment, and compare it with the preset operation and maintenance intelligent monitoring index. If the operation and maintenance intelligent monitoring index of a printing machine is less than the preset operation and maintenance intelligent monitoring index, it indicates that there is an abnormality in the operation of the printing machine equipment, and the working status of the abnormal equipment should be sent to the equipment management terminal through the remote monitoring center. Otherwise, it indicates that there is no abnormality in the operation of the printing machine equipment.

[0032] The printing press production intelligent early warning module is used to calculate the fault early warning response index of the target printing press equipment according to the fault diagnosis data monitoring unit, compare it with the preset fault early warning response index, and send an early warning instruction through the remote monitoring center.

[0033] In a possible design, the specific warning method of the printing press production intelligent warning module is: Step S01: Obtain the average number of failures of the target printing press device and calculate the error degree of the failures. ,in Expressed as The error degree of the number of failures of each printing press equipment, Expressed as Number of failures of each printing press device, Expressed as the average number of failure occurrences; Step S02: The calculation formula of the fault warning response index is: ,in Expressed as Fault warning response index of each printing press equipment, Expressed as Downtime of printing press equipment, Indicated as the preset downtime, Expressed as The error degree of the number of failures of each printing press equipment, Expressed as the maximum pass rate, Expressed as The qualification rate of each printing press equipment; Step S03: Obtain the fault warning response index of the target printing machine equipment and compare it with the preset fault warning response index. If the fault warning response index of a printing machine is greater than the preset fault warning response index, a device fault alarm instruction is sent through the remote monitoring center. Otherwise, it indicates that there is no abnormality in the production of the printing machine equipment.

[0034] The printing press network transmission performance processing module is used to receive the network connection quality information of the printing press production data transmission module, calculate the network connection quality optimization index of the target printing press device, compare it with the preset network connection quality optimization index, and process it.

[0035] In a possible design, the specific processing method of the printing press network transmission performance processing module is: Step S01: Obtain the total operating time of the target printing press device and calculate the network connectivity rate: ,in Expressed as Network connectivity rate of printing press equipment, Expressed as Network connection time for each printing press device, Expressed as The total operating time of each printing press equipment; Step S02: Obtain the average network delay time and average number of lost data packets of the communication network operator used for network transmission of the target printing press device, and calculate the standard deviation of the network delay: , standard deviation of number of lost packets: ; Step S03: The calculation formula of the network connection quality optimization index is: ,in Expressed as The network connection quality optimization index of each printing press device, Expressed as Network connectivity rate of printing press equipment, Expressed as The network latency of each printing device, Expressed as the average network delay time, Expressed as The standard deviation of network latency for each printer device, Expressed as Number of lost packets per printer device, It is expressed as the average number of lost data packets. Expressed as The standard deviation of the number of lost packets per printer device, Expressed as a natural constant; Step S04: Obtain the network connection quality optimization index of the target printing device, and compare it with the preset network connection quality optimization index. If the network connection quality optimization index of a printing machine is greater than the preset network connection quality optimization index, it indicates that there is an abnormality in the data transmission network connection performance of the printing machine device, and the network connection status of the abnormal device should be sent to the device management terminal through the remote monitoring center. Otherwise, it indicates that there is no abnormality in the network connection of the printing machine device.

[0036] The printing press automated production analysis module is used to calculate the automated production evaluation coefficient of the target printing press equipment according to the operation and maintenance intelligent monitoring index, fault warning response index and network connection quality optimization index of the target printing press equipment.

[0037] In a possible design, the calculation formula of the automated production evaluation coefficient is: ,in Expressed as The automation production evaluation coefficient of each printing press equipment, Expressed as The operation and maintenance intelligent monitoring index of printing press equipment, Expressed as Fault warning response index of each printing press equipment, Expressed as The network connection quality optimization index of each printing press device.

[0038] The printing press automated production evaluation module is used to obtain the automated production evaluation coefficient of the target printing press equipment, compare it with the preset automated production evaluation coefficient, and process it.

[0039] In a possible design, the specific evaluation method of the printing press automated production evaluation module is: Obtain the automation production evaluation coefficient of the target printing equipment and compare it with the preset automation production evaluation coefficient. If the automation production evaluation coefficient of a printing machine is less than the preset automation production evaluation coefficient, it indicates that there is an abnormality in the automation production of the printing equipment, and the abnormal equipment should be sent to the equipment management terminal through the remote monitoring center. Otherwise, it indicates that there is no abnormality in the automation production of the printing equipment.

[0040] In the present embodiment, it is necessary to specifically explain that the present invention transmits the collected production operation monitoring information of the target printing machine equipment to the remote monitoring center through the printing machine production data transmission module, and monitors the network connection quality information of the target printing machine equipment network transmission, and further analyzes to obtain the automation production evaluation coefficient of the target printing machine equipment, and compares it with the preset automation production evaluation coefficient to identify whether there is any abnormality in the automation production of the printing equipment, thereby realizing real-time transmission of production operation monitoring information of the printing machine equipment distributed in different areas through the remote monitoring center, performing data analysis and automatic processing, realizing unified management and monitoring, facilitating the enterprise to carry out cross-regional production management and coordination, and improving the enterprise's printing machine production intelligent management level.

[0041] In the present embodiment, it should be specifically explained that the present invention calculates the operation and maintenance intelligent monitoring index of the target printing press equipment according to the operation and maintenance data monitoring unit through the printing press production intelligent processing module, and compares it with the preset operation and maintenance intelligent monitoring index. If the operation and maintenance intelligent monitoring index of a printing press is less than the preset operation and maintenance intelligent monitoring index, it indicates that there is an abnormality in the operation of the printing press equipment, and the working status of the abnormal equipment should be sent to the equipment management terminal through the remote monitoring center. Otherwise, it indicates that there is no abnormality in the operation of the printing press equipment, which further compensates for the subjective errors caused by fault diagnosis relying on manual inspections, is conducive to realizing the automatic monitoring and abnormal warning of printing equipment, greatly improves the operation and maintenance efficiency, and avoids the expansion of losses.

[0042] In the present embodiment, it is necessary to specifically explain that the present invention calculates the fault warning response index of the target printing machine equipment according to the fault diagnosis data monitoring unit through the printing machine production intelligent early warning module, and compares it with the preset fault warning response index. If the fault warning response index of a printing machine is greater than the preset fault warning response index, the equipment fault alarm instruction is sent through the remote monitoring center. Otherwise, it indicates that there is no abnormality in the production of the printing machine equipment. Through intelligent early warning, the enterprise can issue an alarm in advance according to the fault warning response index before the printing equipment fails, thereby giving management personnel enough time to intervene and handle the problem, reducing losses such as production stagnation and product quality problems caused by equipment failure, ensuring the continuity and stability of production, and thus improving production efficiency and production output quality level.

[0043] In the present embodiment, it should be specifically explained that the present invention calculates the network connection quality optimization index of the target printing press device according to the network connection quality information through the printing press network transmission performance processing module, and compares it with the preset network connection quality optimization index. If the network connection quality optimization index of a printing press is greater than the preset network connection quality optimization index, it indicates that there is an abnormality in the network connection performance of the data transmission of the printing press device, and the network connection status of the abnormal device should be sent to the device management terminal through the remote monitoring center. Otherwise, it indicates that there is no abnormality in the network connection of the printing press device. The management personnel can remotely understand the network connection status of each printing press device and accurately locate the abnormal device through intelligent data analysis and processing, thereby improving the convenience and efficiency of management, thereby optimizing the network connection of the remote transmission of printing press equipment data and further improving the overall performance of the printing press production line.

[0044] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent remote monitoring system for printing press production, characterized in that: include: Printing machine production data acquisition module: used to collect production operation monitoring information of target printing machine equipment, the printing machine production data acquisition module includes an operation and maintenance data monitoring unit and a fault diagnosis data monitoring unit, and the production operation monitoring information includes operation and maintenance data and fault diagnosis data; Printing machine production data transmission module: used to transmit the production operation monitoring information of the target printing machine equipment to the remote monitoring center through the network, and monitor the network connection quality information of the target printing machine equipment network transmission; Printing machine production intelligent processing module: used to calculate the operation and maintenance intelligent monitoring index of the target printing machine equipment according to the operation and maintenance data monitoring unit, compare it with the preset operation and maintenance intelligent monitoring index, and send the processing measures of the printing machine equipment through the remote monitoring center; Printing machine production intelligent early warning module: used to calculate the fault early warning response index of the target printing machine equipment according to the fault diagnosis data monitoring unit, compare it with the preset fault early warning response index, and send early warning instructions through the remote monitoring center; Printing machine network transmission performance processing module: used to receive the network connection quality information of the printing machine production data transmission module, calculate the network connection quality optimization index of the target printing machine equipment, compare it with the preset network connection quality optimization index, and process it; Printing machine automated production analysis module: used to calculate the automated production evaluation coefficient of the target printing machine equipment according to the operation and maintenance intelligent monitoring index, fault warning response index and network connection quality optimization index of the target printing machine equipment; Printing machine automated production assessment module: used to obtain the automated production assessment coefficient of the target printing machine equipment, compare it with the preset automated production assessment coefficient, and process it.

2. According to claim 1, the intelligent remote monitoring system for printing press production is characterized in that: The specific collection content of the printing press production data collection module is: Operation and maintenance data monitoring unit: collects production efficiency indicators and equipment utilization indicators of target printing equipment, marked as , ,in =1, 2, ... n, Expressed as The number of the printing press equipment; Fault diagnosis data monitoring unit: collects the downtime, fault occurrence times, and pass rate of the target printing press equipment, and marks them as , , ,in =1, 2, ... n, Expressed as The number of a printing press device.

3. The intelligent remote monitoring system for printing press production according to claim 1 is characterized in that: The printing press production data transmission module is specifically: Step S01: obtaining the production operation monitoring information of the target printing press equipment collected by the printing press production data collection module, transmitting it to the remote monitoring center through the network, and monitoring the network connection quality information of the network transmission of the target printing press equipment; Step S02: The network connection quality information includes: the network connection time, network delay time, and number of lost data packets of the target printing press device.

4. The intelligent remote monitoring system for printing press production according to claim 1 is characterized in that: The specific processing method of the printing press production intelligent processing module is: Step S01: The calculation formula of the production efficiency index is: ,in Expressed as The production efficiency index of each printing press equipment, Expressed as The printing speed of each printing press device, Expressed as The working hours of each printing press equipment, Expressed as The actual output of each printing press; Step S02: The calculation formula of the equipment utilization index is: ,in Expressed as Equipment utilization index of each printing press equipment, Expressed as The total production cost of a printing press equipment, Expressed as The ink consumption of each printing press equipment; Step S03: Obtain the average and minimum values ​​of the production efficiency index, marked as , , calculate the preset production efficiency index: ,in Expressed as a preset production efficiency indicator, It is expressed as the minimum value of production efficiency index, Expressed as the average value of production efficiency index, Expressed as the total number of printing press equipment; Step S04: Obtain the average and minimum values ​​of the equipment utilization index, marked as , , calculate the preset equipment utilization index: ,in Represented as a preset device utilization indicator, It is expressed as the minimum value of the device utilization index. Expressed as the average value of equipment utilization index, Expressed as the total number of printing press equipment; Step S05: The calculation formula of the operation and maintenance intelligent monitoring index is: ,in Expressed as The operation and maintenance intelligent monitoring index of printing press equipment, Expressed as The production efficiency index of each printing press equipment, Expressed as Equipment utilization index of each printing press equipment, Expressed as a preset production efficiency indicator, It is expressed as a preset equipment utilization index, and e is expressed as a natural constant; Step S06: Obtain the operation and maintenance intelligent monitoring index of the target printing machine equipment, and compare it with the preset operation and maintenance intelligent monitoring index. If the operation and maintenance intelligent monitoring index of a printing machine is less than the preset operation and maintenance intelligent monitoring index, it indicates that there is an abnormality in the operation of the printing machine equipment, and the working status of the abnormal equipment should be sent to the equipment management terminal through the remote monitoring center. Otherwise, it indicates that there is no abnormality in the operation of the printing machine equipment.

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