An online operation and maintenance management system for coated plate production line based on artificial intelligence

Abstract

The present invention belongs to the technical field of production line operation and maintenance management, and discloses an online operation and maintenance management system for a coated plate production line based on artificial intelligence, including a production process relationship acquisition module, a production task allocation module, a historical production data analysis module, an equipment maintenance demand assessment module, an abnormal operation status maintenance module, a production task correction module and a data storage library. When performing production task allocation analysis on the coated plate production line, the present invention needs to correct the production task volume of each coated plate production line based on historical production data and equipment maintenance. This analysis method can accurately understand the actual production capacity of different production lines and achieve matching of task volume with production capacity. It effectively reduces production interruptions caused by equipment problems and ensures the stable operation of the production process. At the same time, this analysis method can also improve resource utilization, avoid idle waste of equipment and personnel, and make the operation of the entire coated plate production line more efficient, stable and sustainable.

Description

Technical Field

[0001] The present invention belongs to the technical field of production line operation and maintenance management, and relates to an online operation and maintenance management system for a coated plate production line based on artificial intelligence. Background Art

[0002] Coated board, also known as paint board or paint board, is a board with a specially processed surface. The production process of coated board usually includes production processes such as board forming, board surface cleaning, board conveying, board coating, board drying, board cutting and board packaging, and each production process corresponds to different production equipment. The existing production process of coated board production line usually has many problems such as unreasonable production task allocation and untimely adjustment of production tasks, which may affect production efficiency and product quality. Therefore, the research on online operation and maintenance management of coated board production line based on artificial intelligence is of great significance.

[0003] In the prior art, there are also related solutions for production line operation and maintenance management. For example, a Chinese invention patent application for an enterprise digital factory equipment operation and maintenance management platform and method with publication number CN117541213A includes: obtaining the production organization relationship of the equipment. Obtaining the processing sequence of the equipment constituting the assembly line based on the production organization relationship of the equipment. Performing product quality inspection during the production of the product on the assembly line to obtain the operating conditions of different equipment in the assembly line. Continuously obtaining the operating conditions of different equipment in the assembly line to obtain the historical record of the operating status of the equipment over time. Obtaining vulnerable equipment and the corresponding degree of vulnerability based on the historical record of the operating status of the equipment over time. Obtaining the equipment operation and maintenance priority based on the vulnerable equipment and the corresponding degree of vulnerability. Generate equipment operation and maintenance instructions according to the equipment operation and maintenance priority. This invention improves the equipment operation and maintenance efficiency by finding equipment that is prone to failure and conducting key monitoring and management.

[0004] In addition, a Chinese invention patent application for an online operation and maintenance management system for an enterprise production line with publication number CN116562500A specifically includes: a data acquisition unit, used to acquire enterprise production line data. A data transmission module, used to transmit enterprise production line data to a data analysis module in real time through wireless communication technology. The data analysis module is used to analyze enterprise production line data in real time to obtain the operating status of the enterprise production line, and the operating status includes: normal status and abnormal status. An abnormality processing module is used to process the enterprise production line data corresponding to the abnormal status based on the abnormal status, and restore the normal operating status of the enterprise production line. The invention can monitor the operation of each equipment and process status of the enterprise production line in real time online, can grasp the abnormal position of the entire production line at the first time, and accurately determine the specific location of the abnormal operation status.

[0005] Although the above schemes have proposed some solutions for production line operation and maintenance management, they still have certain limitations: the existing production line operation and maintenance management scheme lacks automated corrections for production task allocation. When the production line encounters emergencies such as equipment failures and reduced worker efficiency, it is impossible to adjust task allocation in a timely manner, which can easily lead to a backlog of production tasks and affect the progress of the entire production process. For example, in the coating board production line, during the period of equipment sudden failure maintenance, subsequent boards cannot be coated, resulting in the accumulation of semi-finished products. The inability to dynamically allocate tasks according to actual conditions may cause some equipment or workers to be idle during certain periods of time, resulting in a waste of resources, increased time costs, and reduced overall efficiency and flexibility of the production line. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, an online operation and maintenance management system for a coated plate production line based on artificial intelligence is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: an online operation and maintenance management system for a coated plate production line based on artificial intelligence, comprising: a production process relationship acquisition module, used to acquire each production equipment corresponding to each production process based on the production process relationship of the coated plate production line.

[0008] The production task allocation module is used to allocate production tasks based on the current production task volume to obtain the production task volume corresponding to each coated plate production line.

[0009] The historical production data analysis module is used to extract historical production records, and then obtain the historical production data corresponding to each coated board production line, the historical production data including production efficiency and abnormal product rate, and analyze the historical production data correction index corresponding to each coated board production line.

[0010] The equipment maintenance demand assessment module is used to extract historical maintenance records and obtain the equipment maintenance data corresponding to each production process of each coated board production line. The equipment maintenance data includes the equipment maintenance frequency, the time since the last equipment maintenance and the single maintenance requirement duration, and analyzes the equipment maintenance demand index corresponding to each coated board production line.

[0011] The abnormal operation status maintenance module is used to judge whether each coated board production line needs equipment maintenance based on the equipment maintenance demand index corresponding to each coated board production line, record the coated board production line that is judged to need equipment maintenance as an abnormal coated board production line, and then sort the equipment maintenance demand of each abnormal coated board production line, and shut down each abnormal coated board production line for maintenance according to the equipment maintenance demand sort.

[0012] The production task correction module is used to correct the production task volume based on the historical production data correction index and equipment maintenance demand index corresponding to each coated board production line to obtain the corrected production task volume of each coated board production line.

[0013] Data repository for storing production process relationships, historical production records, and historical maintenance records.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) When performing production task allocation analysis on the coated board production line, the present invention corrects the production task volume of each coated board production line based on historical production data and equipment maintenance needs. This analysis method can accurately understand the actual production capacity of different production lines, thereby matching the task volume with the production capacity and greatly improving production efficiency. It effectively reduces production interruptions caused by equipment problems and ensures the stable operation of the production process. At the same time, this analysis method can also improve resource utilization, avoid idle waste of equipment and personnel, and make the operation of the entire coated board production line more efficient, stable and sustainable.

[0015] (2) When evaluating equipment maintenance needs, the present invention further ranks the equipment maintenance needs of the coated plate production lines that need maintenance. This analysis method can accurately determine the equipment that urgently needs maintenance, thereby ensuring timely maintenance of key equipment and avoiding production interruptions and efficiency reduction. At the same time, this ranking can also help enterprises allocate maintenance resources and time more reasonably, improve the efficiency and effectiveness of maintenance work, and ultimately ensure the stable operation and efficient output of the production line. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0017] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention. DETAILED DESCRIPTION

[0018] 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.

[0019] See also Figure 1As shown, the present invention provides an online operation and maintenance management system for a coated plate production line based on artificial intelligence, the system includes a production process relationship acquisition module, a production task allocation module, a historical production data analysis module, an equipment maintenance demand assessment module, an abnormal operation status maintenance module, a production task correction module and a data storage library, wherein the production process relationship acquisition module is connected to the production task allocation module, the production task allocation module is respectively connected to the historical production data analysis module and the equipment maintenance demand assessment module, the historical production data analysis module and the equipment maintenance demand assessment module are both connected to the production task correction module, the equipment maintenance demand assessment module is connected to the abnormal operation status maintenance module, and the data storage library is respectively connected to the production process relationship acquisition module, the historical production data analysis module and the equipment maintenance demand assessment module.

[0020] The production process relationship acquisition module is used to acquire each production equipment corresponding to each production process based on the production process relationship of the coated board production line.

[0021] It should be noted that the production process relationship refers to the production process sequence of the coated board production line, specifically board forming, board surface cleaning, board conveying, board coating, board drying, board cutting and board packaging, and the production equipment corresponding to each production process is specifically board forming equipment, board surface cleaning equipment, board conveying equipment, board coating equipment, board drying equipment, board cutting equipment and board packaging equipment.

[0022] It should be noted that in practice, due to different production needs, there may be other production processes or procedures, and corresponding other production equipment.

[0023] The production task allocation module is used to allocate production tasks based on the current production task volume to obtain the production task volume corresponding to each coated plate production line.

[0024] It should be noted that the specific method of obtaining the production task volume corresponding to each coated board production line is as follows: extracting the current production task volume, and obtaining the number of current coated board production lines by counting.

[0025] Obtain the remaining production task quantity of each current coated board production line, sum the remaining production task quantity of each current coated board production line with the current production task quantity to obtain the current total production task quantity, and calculate the ratio of the current total production task quantity to the current number of coated board production lines to obtain the reference quantity of production tasks for a single coated board production line.

[0026] It should be noted that the reason for considering the remaining production task volume is to improve production efficiency, avoid production interruptions and downtime, and ensure that the current production task volume can be directly carried out when the remaining production task volume is completed.

[0027] The production task quantity corresponding to each coated board production line is obtained by performing a difference calculation between the production task reference quantity of a single coated board production line and the remaining production task quantity of each coated board production line.

[0028] The historical production data analysis module is used to extract historical production records, and then obtain the historical production data corresponding to each coated board production line, the historical production data including production efficiency and abnormal product rate, and analyze the historical production data correction index corresponding to each coated board production line.

[0029] It should be noted that the historical production data is obtained by extracting historical production records, and obtaining the production date, production volume, startup time and number of abnormal products corresponding to each historical production record of each coated plate production line.

[0030] The production date corresponding to each historical production record of each coated board production line is compared with the pre-set production record reference time range. If the production date of a historical production record of a coated board production line is within the production record reference time range, the historical production record of the coated board production line is judged as a reference historical production record, and then the reference historical production records corresponding to each coated board production line are obtained.

[0031] It is necessary to explain the reason for setting a reference time range for production records: production records are an important basis for reflecting the actual situation of the production process. By setting a reasonable reference time range, it can ensure that the content of the record is consistent with the actual situation and avoid blurred memory or distorted information due to too long a time.

[0032] Exemplarily, the reference time range of the production record may be one month before the current time.

[0033] The production efficiency corresponding to the historical production records of each coated board production line is obtained by ratio calculation of the production volume and the start-up time corresponding to each coated board production line, and then the average calculation is performed to obtain the production efficiency corresponding to each coated board production line.

[0034] The number of abnormal products and the production volume corresponding to the historical production records of each coated board production line are ratio calculated to obtain the abnormal product rate corresponding to the historical production records of each coated board production line, and then the average is calculated to obtain the abnormal product rate corresponding to each coated board production line.

[0035] It should be noted that the analysis of the historical production data correction index corresponding to each coated board production line is specifically performed as follows: the production efficiency and abnormal product rate of each coated board production line are extracted and recorded as , ,in Indicates the number of each coated board production line, , Indicates the number of coated board production lines.

[0036] Using the formula Analyze and obtain the historical production data correction index corresponding to each coated board production line ,in represents the preset reference efficiency, represents the preset reference abnormal product rate, They respectively represent the weight factors corresponding to the production efficiency and abnormal product rate of the pre-set coated plate production line.

[0037] It should be noted that the weight factors corresponding to the production efficiency and abnormal product rate of the coated plate production line are set based on the actual data of the production line operation, market demand, product quality requirements, and the economic benefits of the enterprise. As an important indicator to measure the efficiency of the production line operation, the production efficiency usually has a higher weight factor to reflect the company's emphasis on increasing production; while the abnormal product rate is directly related to product quality and cost control, and its weight factor will also be reasonably set according to the company's strict requirements for product quality and market competitiveness.

[0038] For example, .

[0039] The equipment maintenance demand assessment module is used to extract historical maintenance records and obtain equipment maintenance data corresponding to each production process of each coated board production line. The equipment maintenance data includes equipment maintenance frequency, time since the last equipment maintenance and single maintenance requirement duration, and analyzes the equipment maintenance demand index corresponding to each coated board production line.

[0040] It should be noted that the reasons for selecting equipment maintenance frequency, time since the last equipment maintenance, and single maintenance requirement duration as equipment maintenance data are: 1. Reflecting the use status and degree of wear of the equipment. Regular maintenance helps to promptly discover and deal with potential problems, prevent failures, and ensure the stable operation of the equipment. Reasonable maintenance frequency can balance maintenance costs and equipment performance, avoid resource waste caused by excessive maintenance and equipment failure caused by insufficient maintenance. 2. By analyzing the duration of the last maintenance, you can understand the complexity and resources required for equipment maintenance. It helps to predict future maintenance needs and resource allocation to ensure the smooth progress of maintenance work. 3. It is directly related to the efficiency and cost of maintenance work. A shorter maintenance requirement duration means faster maintenance speed and lower maintenance cost. By analyzing the single maintenance requirement duration, you can optimize maintenance processes and methods to improve maintenance efficiency and quality.

[0041] It should be noted that the equipment maintenance data is obtained by extracting historical maintenance records, obtaining the equipment maintenance frequency, time since the last equipment maintenance and single maintenance requirement time of each production equipment corresponding to each production process of each coated plate production line.

[0042] The equipment maintenance frequencies of each production equipment corresponding to each production process of each coated board production line are compared, and the maximum equipment maintenance frequency is selected as the equipment maintenance frequency corresponding to each coated board production line.

[0043] It should be noted that the reason for selecting the maximum equipment maintenance frequency as the equipment maintenance frequency corresponding to each coated board production line is to ensure the continuous and stable operation of the equipment and maximize production efficiency. By increasing the maintenance frequency, potential equipment failures can be discovered and resolved in a timely manner, and production interruptions caused by equipment downtime can be reduced, thereby ensuring the continuity and stability of the coated board production line. At the same time, regular and frequent maintenance can also help extend the service life of the equipment, reduce long-term operating costs, and improve overall economic benefits.

[0044] Similarly, the time since the last equipment maintenance and the time required for a single maintenance for each coated plate production line can be obtained.

[0045] It should be added that the analysis steps of the time since the last equipment maintenance corresponding to each coated board production line are as follows: compare the time since the last equipment maintenance of each production equipment corresponding to each production process of each coated board production line, and select the largest time since the last equipment maintenance as the time since the last equipment maintenance corresponding to each coated board production line.

[0046] It should be added that the analysis steps of the single maintenance requirement time corresponding to each coated plate production line are: compare the single maintenance requirement time of each production equipment corresponding to each production process of each coated plate production line, and select the largest single maintenance requirement time as the single maintenance requirement time corresponding to each coated plate production line.

[0047] It should be noted that the specific method of analyzing the equipment maintenance demand index corresponding to each coated board production line is as follows: extract the equipment maintenance frequency, the time since the last equipment maintenance and the single maintenance demand time corresponding to each coated board production line, and record them as , , .

[0048] Using the formula Analyze and obtain the equipment maintenance demand index corresponding to each coated board production line ,That Indicates the preset reference equipment maintenance frequency, Indicates the preset reference duration. They respectively represent the weight factors corresponding to the equipment maintenance frequency, the time since the last equipment maintenance, and the time required for a single maintenance of the coated plate production line.

[0049] It should be noted that the weight factors corresponding to the equipment maintenance frequency, the time since the last equipment maintenance, and the duration of a single maintenance requirement for the coated board production line are set based on a comprehensive consideration of the importance of the production line, the reliability of the equipment, historical maintenance data, and maintenance costs. The weight factor for the equipment maintenance frequency is usually higher to emphasize the importance of regular maintenance; the weight factor for the duration of the last equipment maintenance reflects the periodicity and stability of equipment maintenance; and the weight factor for the duration of a single maintenance requirement takes into account the efficiency and cost-effectiveness of the maintenance work. The reasonable setting of these weight factors helps to ensure the scientific nature and effectiveness of the equipment maintenance plan, thereby improving the overall operating efficiency and product quality of the coated board production line.

[0050] For example, .

[0051] The abnormal operation status maintenance module is used to judge whether each coated plate production line needs equipment maintenance based on the equipment maintenance demand index corresponding to each coated plate production line, record the coated plate production line that is judged to need equipment maintenance as an abnormal coated plate production line, and then sort the equipment maintenance demand of each abnormal coated plate production line, and shut down each abnormal coated plate production line for maintenance according to the equipment maintenance demand sort.

[0052] It should be noted that the specific method for judging whether each coated board production line needs equipment maintenance is as follows: extract the equipment maintenance demand index corresponding to each coated board production line, and compare the equipment maintenance demand index of each coated board production line with the pre-set equipment maintenance demand index threshold. If the equipment maintenance demand index of a coated board production line is greater than the equipment maintenance demand index threshold, it is judged that the coated board production line needs equipment maintenance; otherwise, it is judged that the coated board production line does not need equipment maintenance.

[0053] It should be noted that the thresholds of the equipment maintenance demand index are set based on factors such as equipment performance standards, historical operating data, maintenance experience, and production needs. These thresholds are intended to ensure that equipment is maintained and repaired in a timely manner before performance degradation or failure occurs, thereby ensuring stable operation of the production line and product quality. At the same time, reasonable threshold settings can also help balance maintenance costs and production efficiency, and improve the overall economic benefits of the enterprise.

[0054] Exemplarily, the equipment maintenance demand index threshold is .

[0055] It should be noted that the specific method of ranking the equipment maintenance needs of each abnormal coated plate production line is as follows: extract the equipment maintenance need index corresponding to each abnormal coated plate production line, and arrange the equipment maintenance need index of each abnormal coated plate production line in order from large to small to obtain the equipment maintenance need ranking corresponding to each abnormal coated plate production line.

[0056] For example, if the equipment maintenance demand index of the first abnormal coated plate production line is , the equipment maintenance demand index of the second abnormal coated plate production line is , the equipment maintenance demand index of the third abnormal coated plate production line is , the equipment maintenance requirements corresponding to each abnormal coated plate production line are ranked as the second abnormal coated plate production line, the first abnormal coated plate production line, and the third abnormal coated plate production line.

[0057] It should be noted that the present invention further sorts the equipment maintenance needs of the coated plate production line that needs maintenance when evaluating the equipment maintenance needs. This analysis method can accurately determine the equipment that needs urgent maintenance, thereby ensuring timely maintenance of key equipment and avoiding production interruptions and efficiency reduction. At the same time, this sorting can also help enterprises allocate maintenance resources and time more reasonably, improve the efficiency and effectiveness of maintenance work, and ultimately ensure the stable operation and efficient output of the production line.

[0058] The production task correction module is used to correct the production task quantity based on the historical production data correction index and equipment maintenance demand index corresponding to each coated board production line to obtain the corrected production task quantity of each coated board production line.

[0059] It should be noted that the specific method of obtaining the corrected production task volume of each coated board production line is as follows: extract the historical production data correction index and equipment maintenance demand index of each coated board production line, and then perform difference calculation to obtain the task volume correction index of each coated board production line.

[0060] The task volume correction index of each coated plate production line is multiplied by the corresponding production task volume to obtain the corrected production task volume corresponding to each coated plate production line.

[0061] The corrected production task volume of each coated plate production line is summed with the corresponding production task volume to obtain the corrected production task volume corresponding to each coated plate production line.

[0062] The sum of the production task quantities after each correction is calculated to obtain the total production task quantity after the correction, which is then compared with the current production task quantity. If the total production task quantity after the correction is less than the current production task quantity, it is determined that a second correction is required. The difference between the current production task quantity and the total production task quantity after the correction is calculated to obtain the remaining production task quantity after correction, which is then calculated by ratio with the number of coated plate production lines to obtain the corrected production task quantity for a single coated plate production line.

[0063] The corrected production task volume of each coated plate production line is calculated by summing up the corrected production task volume of each coated plate production line and the corrected single coated plate production line adjustment production task volume to obtain the corrected production task volume of each coated plate production line.

[0064] It should be noted that the present invention needs to correct the production task volume of each coated board production line based on historical production data and equipment maintenance when performing production task allocation analysis on the coated board production line. This analysis method can accurately understand the actual production capacity of different production lines, thereby matching the task volume with the production capacity, greatly improving production efficiency. It effectively reduces production interruptions caused by equipment problems and ensures the stable progress of the production process. At the same time, this analysis method can also improve resource utilization, avoid idle waste of equipment and personnel, and make the operation of the entire coated board production line more efficient, stable and sustainable.

[0065] The data repository is used to store production process relationships, historical production records and historical maintenance records.

[0066] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An online operation and maintenance management system for a coating plate production line based on artificial intelligence, characterized in that: include: The production process relationship acquisition module is used to acquire the production equipment corresponding to each production process based on the production process relationship of the coated board production line; A production task allocation module is used to allocate production tasks based on the current production task volume to obtain the production task volume corresponding to each coated plate production line; The historical production data analysis module is used to extract historical production records, and then obtain the historical production data corresponding to each coated board production line, the historical production data includes production efficiency and abnormal product rate, and analyze the historical production data correction index corresponding to each coated board production line; The equipment maintenance demand assessment module is used to extract historical maintenance records and obtain the equipment maintenance data corresponding to each production process of each coated board production line. The equipment maintenance data includes equipment maintenance frequency, time since the last equipment maintenance and single maintenance demand time, and analyzes the equipment maintenance demand index corresponding to each coated board production line; The abnormal operation status maintenance module is used to determine whether each coated board production line needs equipment maintenance based on the equipment maintenance demand index corresponding to each coated board production line, record the coated board production line that needs equipment maintenance as an abnormal coated board production line, and then sort the equipment maintenance demand of each abnormal coated board production line, and shut down each abnormal coated board production line for maintenance according to the equipment maintenance demand sorting; A production task correction module is used to correct the production task volume based on the historical production data correction index and equipment maintenance demand index corresponding to each coated board production line to obtain the corrected production task volume of each coated board production line; Data repository for storing production process relationships, historical production records, and historical maintenance records; The specific method of analyzing the historical production data correction index corresponding to each coated plate production line is as follows: Extract the production efficiency and abnormal product rate of each coated plate production line and record them as , ,in Indicates the number of each coated board production line, , Indicates the number of coated board production lines; Using the formula Analyze and obtain the historical production data correction index corresponding to each coated board production line ,in represents the preset reference efficiency, represents the preset reference abnormal product rate, They respectively represent the weight factors corresponding to the production efficiency and abnormal product rate of the pre-set coated plate production line; The specific method of analyzing the equipment maintenance demand index corresponding to each coated plate production line is as follows: Extract the equipment maintenance frequency, time since the last equipment maintenance and single maintenance requirement duration corresponding to each coated plate production line, and record them as , , ; Using the formula Analyze and obtain the equipment maintenance demand index corresponding to each coated board production line ,That Indicates the preset reference equipment maintenance frequency, Indicates the preset reference duration. They represent the weight factors corresponding to the equipment maintenance frequency, the time since the last equipment maintenance, and the single maintenance requirement time of the coated plate production line; The specific method of obtaining the modified production task volume of each coated plate production line is as follows: Extract the historical production data correction index and equipment maintenance demand index of each coated board production line, and then perform difference calculation to obtain the task volume correction index of each coated board production line; The task quantity correction index of each coated plate production line is multiplied by the corresponding production task quantity to obtain the corrected production task quantity corresponding to each coated plate production line; The corrected production task volume of each coated plate production line is calculated by summing up the corresponding production task volume to obtain the corrected production task volume corresponding to each coated plate production line; The first-corrected production task quantities corresponding to each coated plate production line are summed up to obtain the first-corrected total production task quantity, which is then compared with the current production task quantity. If the first-corrected total production task quantity is less than the current production task quantity, it is determined that a second correction is required, and the difference between the current production task quantity and the first-corrected total production task quantity is calculated to obtain the corrected remaining production task quantity, which is then calculated by ratio with the number of coated plate production lines to obtain the corrected production task quantity of a single coated plate production line; The corrected production task volume of each coated plate production line is calculated by summing up the corrected production task volume of each coated plate production line and the corrected single coated plate production line adjustment production task volume to obtain the corrected production task volume of each coated plate production line.

2. The online operation and maintenance management system for a coating plate production line based on artificial intelligence as claimed in claim 1, characterized in that: The production process relationship refers to the production process sequence of the coated board production line, specifically board forming, board surface cleaning, board conveying, board coating, board drying, board cutting and board packaging. The production equipment corresponding to each production process is specifically board forming equipment, board surface cleaning equipment, board conveying equipment, board coating equipment, board drying equipment, board cutting equipment and board packaging equipment.

3. The online operation and maintenance management system for a coating plate production line based on artificial intelligence as claimed in claim 1, characterized in that: The specific method of obtaining the production task volume corresponding to each coated plate production line is as follows: Extract the current production task volume and obtain the number of current coated board production lines by counting; Obtain the remaining production task quantity of each current coated board production line, sum the remaining production task quantity of each current coated board production line with the current production task quantity to obtain the current total production task quantity, and calculate the ratio of the current total production task quantity to the current number of coated board production lines to obtain the production task reference quantity of a single coated board production line; The production task quantity corresponding to each coated board production line is obtained by performing a difference calculation between the production task reference quantity of a single coated board production line and the remaining production task quantity of each coated board production line.

4. The online operation and maintenance management system for a coating plate production line based on artificial intelligence as claimed in claim 1, characterized in that: The method for obtaining the historical production data is as follows: Extract historical production records to obtain the production date, production volume, startup time and number of abnormal products corresponding to each historical production record of each coated board production line; Compare the production date corresponding to each historical production record of each coated board production line with the preset reference time range of the production record. If the production date of a historical production record of a coated board production line is within the reference time range of the production record, the historical production record of the coated board production line is judged as a reference historical production record, and then the reference historical production records corresponding to each coated board production line are obtained; The production volume and the start-up time corresponding to the historical production records of each coated board production line are calculated by ratio, and the production efficiency corresponding to the historical production records of each coated board production line is obtained by mean calculation, and then the production efficiency corresponding to each coated board production line is obtained by mean calculation; The ratio of the number of abnormal products and the production volume corresponding to the historical production records of each coated board production line is calculated to obtain the abnormal product rate corresponding to the historical production records of each coated board production line, and then the average is calculated to obtain the abnormal product rate corresponding to each coated board production line.

5. The online operation and maintenance management system for a coating plate production line based on artificial intelligence according to claim 1, characterized in that: The method for obtaining the equipment maintenance data is as follows: Extract historical maintenance records to obtain the equipment maintenance frequency, time since the last equipment maintenance, and single maintenance requirement duration of each production equipment corresponding to each production process of each coated board production line; Compare the equipment maintenance frequencies of each production equipment corresponding to each production process of each coated board production line, and select the largest equipment maintenance frequency as the equipment maintenance frequency corresponding to each coated board production line; Similarly, the time since the last equipment maintenance and the time required for a single maintenance for each coated plate production line can be obtained.

6. The online operation and maintenance management system for a coating plate production line based on artificial intelligence according to claim 1, characterized in that: The specific method for determining whether each coated plate production line needs equipment maintenance is as follows: Extract the equipment maintenance demand index corresponding to each coated board production line, and compare the equipment maintenance demand index of each coated board production line with the pre-set equipment maintenance demand index threshold. If the equipment maintenance demand index of a coated board production line is greater than the equipment maintenance demand index threshold, it is judged that the coated board production line needs equipment maintenance. Otherwise, it is judged that the coated board production line does not need equipment maintenance.

7. The online operation and maintenance management system for a coated plate production line based on artificial intelligence as claimed in claim 6, characterized in that: The specific method of sorting the equipment maintenance requirements of each abnormal coated plate production line is as follows: The equipment maintenance demand index corresponding to each abnormal coated plate production line is extracted, and the equipment maintenance demand index of each abnormal coated plate production line is arranged in order from large to small to obtain the equipment maintenance demand ranking corresponding to each abnormal coated plate production line.

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