Film production control method and system

Abstract

The invention relates to the technical field of film production, in particular to a film production control method and system, and the method comprises the steps: receiving film production work order information; determining production line nodes according to the film production work order information; configuring an initial moving path of the tray according to the production line node; constructing a first operation time prediction model of operation equipment of the first production line node according to the historical operation data, and obtaining first operation prediction time according to the first operation time prediction model; obtaining a production delay rate of the first production line node according to the first operation prediction time, the moving time and the queuing time; adjusting an initial moving path of the tray according to the production delay rates of all the production line nodes to obtain a dynamic moving path; and controlling production of the finished material coil according to the dynamic moving path. According to the method and the system, the finished product material coil is guided to move based on the dynamic moving path, the production efficiency is improved while the method and the system adapt to the load change of a production line, and orderly and efficient operation of large-batch and multi-specification production is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of film production, and in particular to a film production control method and system. Background Art

[0002] BOPP (Biaxially Oriented Polypropylene) film is also called biaxially oriented polypropylene film. During the production of BOPP film, the process flow of the production line includes multiple key processes, such as slitting, weighing, labeling and packaging. With the help of AGV carts and assembly lines, the finished rolls obtained by slitting can be circulated between different processes, and operators need to go back and forth between various workstations to assist in the operation. In order to reduce the participation of operators, fully automatic production lines have gradually emerged, and the automation of the flow is realized with the control and scheduling of the MES system. Under the current model, the material movement between the production processes of BOPP film is based on a pre-set fixed path. Although the fixed path method can simply ensure the automated operation of the production process, the fixed path makes the production process unable to respond to any sudden changes, equipment failures or production bottlenecks. For example, when the equipment in a certain link fails, the production line must stop and wait for the equipment to be repaired. It is impossible to adjust the path in time to bypass the link or change the process, resulting in low production efficiency and failure to adapt to changes in the production line load. Summary of the invention

[0003] To this end, the technical problem to be solved by the present invention is to overcome the problems in the prior art of guiding the movement of finished product rolls according to a set fixed path during the production process of BOPP film, resulting in low production efficiency and inability to adapt to changes in the production line load. A film production control method and system are provided, which guide the movement of finished product rolls based on a dynamic moving path, thereby improving production efficiency while adapting to changes in the production line load. In addition, the dynamic moving path comprehensively considers the operating equipment's own operating conditions, equipment load and path status, further optimizes the path, and ensures orderly and efficient operation of large-scale and multi-specification production.

[0004] In a first aspect, in order to solve the above technical problems, the present invention provides a thin film production control method, comprising: Determine the production line nodes based on the film production work order information; The initial moving path of the pallet is configured according to the production line node; wherein the pallet is used to transport the finished product roll bound with information thereof to move on the film production line; Inputting the work order task of the operating equipment of the first production line node into a pre-built first operation time prediction model to obtain a first operation prediction time; Obtaining the moving time of the finished product roll from the first production line node to the second production line node; and obtaining the queuing time according to the path status between the first production line node and the second production line node; wherein the second production line node is the next node in the moving direction of the first production line node; Obtaining a production delay rate of a first production line node according to the first operation prediction time, the movement time, and the queuing time; Adjusting the initial moving path of the pallet according to the production delay rate of all production line nodes to obtain a dynamic moving path; The production of finished product rolls is controlled according to the dynamic movement path.

[0005] In one embodiment of the present invention, it also includes: Measuring the weight of the finished material roll online to obtain a weight measurement value of the finished material roll; Extracting the order weight of the finished roll from the film production work order information; Determining whether the difference between the weight measurement value and the order weight exceeds a weight error range; If the difference between the weight measurement value and the order weight exceeds the weight error range, guiding the tray to enter an NG moving path; If the difference between the weight measurement value and the order weight does not exceed the weight error range, the initial moving path of the pallet is adjusted according to the production delay rate.

[0006] In one embodiment of the present invention, configuring the initial moving path of the pallet according to the production line node includes: Extracting finished product roll specification data and node attribute parameters from the film production work order information; wherein the node attribute parameters include the operation specifications of the finished product roll at each of the production line nodes; Matching corresponding equipment in the film production line according to the finished product roll specification data, the production line nodes and the node attribute parameters to obtain a plurality of path nodes; The initial moving path is planned according to the plurality of path nodes.

[0007] In one embodiment of the present invention, configuring the initial moving path of the pallet according to the production line node also includes: Obtaining property parameters of equipment corresponding to each production line node in the film production line, and obtaining equipment completion indicators according to the property parameters of the equipment; Calculate the task index according to the finished product roll specification data, production line nodes and node attribute parameters, match the equipment whose equipment completion index is greater than or equal to the task index in the film production line, and obtain a plurality of the path nodes; Obtaining a set of moving paths according to the plurality of path nodes; The moving path set is traversed, and the initial moving path is searched for with the shortest path as the goal.

[0008] In one embodiment of the present invention, constructing a first operation time prediction model includes: Get the historical operation log table of the film production line; Taking the operating device of the first production line node as a search target, traversing the historical operation log table to extract historical record data of the operating device of the first production line node; Filtering operation data samples, fault and maintenance record data samples, operation task data samples and operation time samples from the historical record data; Construct a neural network model, use the operation data samples, fault and maintenance record data samples and operation task data samples as input data, and use the operation time samples as output data to train the neural network model until the convergence condition is met to obtain the first operation time prediction model.

[0009] In one embodiment of the present invention, a training set and a test set are constructed to train the first operation time prediction model, which includes: Step 1: Divide the historical record data into m subsets, and perform sequence identification on the m subsets; Step 2: extract one of the subsets as the test set, and combine the remaining m-1 subsets as the training set, and record the performance parameters of the current subset as the test set; and repeat step 2 until each of the subsets is used as the test set once; Step three: Calculate the evaluation result of the first operation time prediction model based on the performance parameters of each of the subsets as the test set.

[0010] In one embodiment of the present invention, obtaining the production delay rate of the first production line node according to the first operation prediction time, the movement time and the queuing time includes: The production delay rate is obtained based on the following method: ;in, represents the production delay rate; T1 represents the first operation prediction time; T2 represents the moving time; T3 represents the queuing time; represents a nonlinear function; , and They represent the weights corresponding to the first operation prediction time, movement time and queuing time respectively.

[0011] In one embodiment of the present invention, adjusting the initial moving path of the pallet according to the production delay rate of all the production line nodes to obtain a dynamic moving path includes: Comparing the production delay rate of the current first production line node with a production delay rate threshold; If the production delay rate of the current first production line node is less than the production delay rate threshold, move to the next production line node according to the initial moving path; If the production delay rate of the current first production line node is greater than or equal to the production delay rate threshold, the next production line node of the initial moving path is taken as the target production line node, and the first production line node with the smallest production delay rate is taken as the starting production line node. The dynamic moving path is obtained by moving from the current first production line node to the starting production line node and the target production line node in sequence.

[0012] In one embodiment of the present invention, the pallet communicates with the film production line based on RFID, and the pallet transmits back the location information of the finished material roll in real time by binding with the finished material roll information; wherein, when the pallet moves to the last production line node of the film production work order, the information is unbound from the finished material roll execution.

[0013] In a second aspect, based on the same inventive concept, the present invention also provides a film production control system, comprising: A work order receiving module, which is used to receive film production work order information; A production line node determination module, which is used to determine the production line nodes according to the film production work order information; wherein the production line nodes include one or any combination of slitting, weighing, labeling, packaging, caching and warehousing; A pallet path configuration module, which is used to configure the initial movement path of the pallet according to the production line node, wherein the pallet is used to perform information binding with the finished material roll obtained by slitting, and transport the finished material roll bound with the information to move on the film production line; An operation time prediction module, which is obtained through training based on historical operation data and is used to obtain the predicted operation time of the equipment based on the work order task; A path status acquisition module, which is used to acquire the moving time of the finished product roll from the first production line node to the second production line node; and acquire the queuing time according to the path status between the first production line node and the second production line node; wherein the second production line node is the next node in the moving direction of the first production line node; A production delay rate calculation module, which is used to calculate the production delay rate according to the operation prediction time, the movement time and the queuing time; A dynamic path adjustment module, which is used to dynamically adjust the initial moving path according to the production delay rate of each production line node; A production control module is used to control the production of the finished material roll according to the dynamically adjusted moving path.

[0014] The above technical solution of the present invention has the following beneficial effects compared with the prior art: The film production control method and system described in the present invention guide the movement of finished material rolls based on a dynamic moving path, adapt to the load changes of the BOPP film production line and improve production efficiency; in addition, the dynamic moving path comprehensively considers the operating conditions of the operating equipment itself, the equipment load and the path status, further optimizes the path, and ensures the orderly and efficient operation of large-scale and multi-specification production; further, the operation prediction time of the corresponding equipment of each production line node is obtained according to the historical operation data, so as to discover the potential failure of the equipment and further refine the moving path to reduce the stagnation and delay of the production link and further improve the production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to make the content of the present invention more clearly understood, the present invention is further described in detail below according to specific embodiments of the present invention in conjunction with the accompanying drawings, wherein: Figure 1 A flowchart of a film production control method in a preferred embodiment of the present invention; Figure 2 A flowchart of configuring the initial movement path of a pallet according to a production line node in a preferred embodiment of the present invention; Figure 3 A flowchart of configuring an initial moving path of a pallet according to a production line node in another embodiment of the present invention; Figure 4 A flowchart of constructing a first operation time prediction model in a preferred embodiment of the present invention; Figure 5 A flowchart of obtaining a dynamic moving path in a preferred embodiment of the present invention; Figure 6 This is a schematic diagram of the initial moving path of the production line node A1 in one embodiment of the present invention; Figure 7 for Figure 6 The schematic diagram of the production line node A1 after adjusting the moving path is shown; Figure 8 It is a module block diagram of a film production control system in a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0016] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0017] Embodiment 1

[0018] The embodiment of the present invention discloses a film production control method, which is used for the scheduling control of a BOPP film (hereinafter referred to as "film") production line. The film production line is equipped with an MES system, and is equipped with at least a slitting station, a weighing station, a labeling station, a packaging station, a buffer station and a storage station according to the production process of the film. The slitting station corresponds to a slitting device. The slitting device slits a mother roll of the film (for example, 30 km long and 8.7 m wide) into finished product rolls of various specifications (for example, 3 km long and 2 m wide). The finished product rolls are After the roll is unrolled at the slitting station, it enters the back-end process in sequence with the help of AGV or assembly line, including weighing, labeling and packaging. The weighing station is equipped with a weighing machine to automatically weigh the finished rolls entering the weighing station online and transmit it back to the MES system in real time. The labeling station is equipped with a labeling machine to automatically print labels according to the order task, and the finished rolls entering the labeling station are labeled manually or by equipment. The packaging station is equipped with a packaging machine, which packages the finished rolls entering the packaging station. The finished rolls are bound to the pallet information during the circulation of the film production line, wherein the pallet communicates with the film production line based on RFID, and the pallet transmits the location information of the finished rolls in real time by binding with the finished roll information. When the pallet moves to the last production line node of the film production work order, it is unbound from the finished roll execution information to ensure that the finished rolls can be accurately tracked and managed during the subsequent handling, storage and processing. Through information binding, the traceability of the production link, real-time monitoring, and automated management functions can be achieved.

[0019] Of course, the film production line is equipped with multiple slitting stations, multiple weighing stations, multiple labeling stations, multiple packaging stations, multiple buffer stations and multiple storage stations according to task requirements. The specifications and execution capabilities of each station are partially consistent and partially different, according to the order task configuration. For example, the specifications of the finished material rolls rolled down by the slitting machine corresponding to different slitting stations are sometimes consistent and sometimes different. The specifications and execution capabilities of each station are entered into the MES system to provide a data basis for subsequent production scheduling.

[0020] Reference Figure 1 As shown, the film production control method disclosed in the embodiment of the present invention includes the following steps: S100, receiving film production work order information;

[0021] In specific application scenarios, production work orders are made according to order information and production plans. The production work orders contain requirements and specific information for each link. Film production work order information is one of the core data of production management, including production quantity, production date, production process requirements, raw material requirements, production equipment requirements, quality standards and inspection requirements, tracking barcodes or QR codes, production process parameters, production modes, product specifications (including length, width, weight, etc.), label requirements, customer delivery addresses and packaging requirements, etc. Import film production work order information into the MES system as the basis for subsequent production control.

[0022] S200, determining a production line node according to the film production work order information; wherein the production line node includes one or any combination of slitting, weighing, labeling, packaging, caching and warehousing; In specific application scenarios, the production line nodes are determined according to the film production work order information. For example, according to the requirements of the current film production work order, the finished material rolls need to be weighed, labeled and packaged, so the current film production work order can be determined to require weighing nodes, labeling nodes and packaging nodes; if according to the requirements of the film production work order, only the finished material rolls need to be weighed and packaged, the weighing nodes and packaging nodes can be determined; the production line nodes are determined according to the needs of the customer order.

[0023] S300, configuring an initial moving path of a pallet according to the production line node; wherein the pallet is used to perform information binding with the finished material roll obtained by slitting, and to transport the finished material roll bound with the information to move on the film production line; In specific application scenarios, after the slitting equipment slits the mother roll to obtain one or more finished rolls, the rolls are unloaded into the pallet at the slitting station. Based on RFID technology, when the finished rolls are placed on the pallet, the binding relationship between the finished rolls and the pallet is automatically established. The movement path of the pallet is preliminarily planned according to the production line nodes required by the production work order, with the purpose of the pallet carrying the finished rolls entering each production line node one after another.

[0024] S400, constructing a first operation time prediction model for an operating device of a first production line node according to historical operation data, wherein the first operation time prediction model obtains a first operation prediction time according to a work order task of the operating device of the first production line node; In the specific application scenario, an operation time prediction model is pre-built for each operating device corresponding to all production line nodes on the film production line (each production line node has at least one operating device). The purpose of this operation time prediction model is to learn the historical operation data of the operating device, obtain the relationship between the operation time and the equipment operation data, the number of fault and maintenance records, and the operation task data, apply the verified qualified operation time prediction model to the actual production line, and obtain the operation time of the operating device to complete the work order task according to the current work order task. The first production line node is any production line node on the film production line, and the first operation time prediction model is the operation time prediction model of a device corresponding to any production line node.

[0025] S500, obtaining the moving time of the finished product roll from the first production line node to the second production line node; and obtaining the queuing time according to the path state between the first production line node and the second production line node; wherein the second production line node is the next node in the moving direction of the first production line node; In a specific application scenario, the moving time is obtained based on the distance between the first production line node and the second production line node and the moving speed of the pallet; the queuing time is obtained based on the path status between the first production line node and the second production line node. For example, if there is no pallet queue between the first production line node and the second production line node, the queuing time is zero; if there is a pallet queue between the first production line node and the second production line node, the remaining time for the current equipment of the second production line node to execute the current work order is the queuing time.

[0026] S600, obtaining a production delay rate of the first production line node according to the first operation prediction time, the movement time, and the queuing time; In specific application scenarios, production line node delay is defined as describing the relationship between the actual time difference and the expected time difference between the finished material roll entering one production line node and entering the next production line node. If the actual time difference is greater than the expected time difference, there is a production line node delay at the current production line node; if the actual time difference is less than or equal to the expected time difference, there is no production line node delay at the current production line node. The production delay rate of a production line node is defined as a quantitative indicator of the three associated operation prediction time, movement time, and queue time. The production delay rate of a production line node can intuitively clarify the execution status of the work order tasks of each production line node.

[0027] S700, adjusting the initial moving path of the pallet according to the production delay rates of all the production line nodes to obtain a dynamic moving path;

[0028] S800: Control the production of the finished material roll according to the dynamic moving path.

[0029] The film production control method described in the present invention guides the movement of finished material rolls based on a dynamic moving path, thereby adapting to changes in the load of the film production line and improving production efficiency; in addition, the dynamic moving path comprehensively considers the operating conditions of the operating equipment itself, the equipment load and the path status, and further optimizes the path to ensure the orderly and efficient operation of large-scale and multi-specification production; further, the operation prediction time of the equipment corresponding to each production line node is obtained based on historical operation data, so as to discover potential failures of the equipment and further refine the optimization of the moving path, reduce stagnation and delays in the production process, and further improve production efficiency.

[0030] In other implementation schemes of the embodiments of the present invention, it also includes measuring the weight of the finished material roll online to obtain the weight measurement value of the finished material roll; extracting the order weight of the finished material roll from the film production work order information; judging whether the difference between the weight measurement value and the order weight exceeds the weight error range; if the difference between the weight measurement value and the order weight exceeds the weight error range, guiding the pallet to enter the NG movement path; if the difference between the weight measurement value and the order weight does not exceed the weight error range, adjusting the initial movement path of the pallet according to the production delay rate.

[0031] In specific application scenarios, the weight of the finished roll is a key and important quality control indicator for whether the production is qualified. The system can calculate the theoretical weight of the finished roll based on the specifications of the front-end feeding and the finished roll, and the theoretical weight is determined based on the order weight. If the difference between the weight measurement value and the order weight exceeds the weight error range, the production quality of the finished roll is unqualified and will be judged as an NG product and prohibited from leaving the factory. By setting up online weight detection, unqualified products can be eliminated as soon as possible, and only qualified products will be transported in the factory logistics. In addition, when a large number of unqualified weight products are detected, the process parameters of the front-end process are adjusted through quality feedback.

[0032] Specifically, refer to Figure 2 As shown, the initial moving path of the pallet is configured according to the production line node, including extracting finished material roll specification data and node attribute parameters from the film production work order information; matching corresponding equipment in the film production line according to the finished material roll specification data, the production line node and the node attribute parameters to obtain a number of path nodes; and planning the initial moving path according to the several path nodes.

[0033] In specific application scenarios, the specification data of the finished material roll includes length, width and weight, etc.; the node attribute parameters include the operating specifications of the finished material roll at each of the production line nodes; for example, for different batches of finished material rolls, the labeling positions are different, and the operating specifications of the equipment at the corresponding labeling stations are different, which means that the production line node positions that can complete the labeling operation are different. Specifically, in one of the application scenarios, according to the requirements of the production work order, the production line nodes include weighing, labeling and packaging. There are three weighing stations, five labeling stations and six packaging stations that can complete the requirements of the production work order. The above three weighing stations, five labeling stations and six packaging stations constitute path nodes, and the initial moving path is planned according to these path nodes.

[0034] Further, refer to Figure 3 As shown, the initial moving path of the pallet is configured according to the production line nodes, and also includes obtaining the attribute parameters of the equipment corresponding to each production line node in the film production line, and obtaining the equipment completion index according to the attribute parameters of the equipment; calculating the task index according to the finished material roll specification data, the production line nodes and the node attribute parameters, matching the equipment whose equipment completion index is greater than or equal to the task index in the film production line, and obtaining a plurality of the path nodes; obtaining a moving path set according to the plurality of path nodes; traversing the moving path set, and searching for the shortest path as the target to obtain the initial moving path.

[0035] In specific application scenarios, the attribute parameters of the equipment should be understood as the specifications that the equipment can operate. For example, the weighing range of the weighing equipment is 20Kg, 50Kg, 100Kg and 300Kg, and the attribute parameters of the weighing equipment are the weighing range of the weighing equipment. For another example, the packaging specifications of the packaging machine are 2m×1m (2m corresponds to the width of the finished material roll, 1m corresponds to the diameter of the finished material roll), 4m×1m, 4m×1.5m, etc. The equipment completion index should be understood as the operating specifications supported by the equipment. For example, a weighing equipment with a weighing range of 300Kg can be compatible with all operating specifications, and the equipment completion index is large; while a weighing range of 20Kg only supports the weighing of finished material rolls weighing less than 20Kg, and the equipment completion index is small. The task index should be understood as the equipment configuration required by the production work order. For example, if the weight of the finished material roll in the production work order is 70Kg, the equipment completion index of the weighing equipment with a weighing range of 20Kg and 50Kg is less than the task index, and the equipment completion index of the weighing equipment with a weighing range of 100Kg and 300Kg is greater than the task index. Filter all equipment whose equipment completion index is greater than or equal to the task index. The workstation where the equipment is located constitutes a path node, and the workstations where all equipment are located constitute multiple path nodes; obtain a set of moving paths based on the multiple path nodes; traverse the set of moving paths, and search for the initial moving path with the shortest path as the goal. By screening the path nodes, ensure that all the equipment constituting the path nodes have load capacity, and plan the initial moving path with the shortest path as the goal in the path nodes that meet the load capacity, to ensure that the production work order is carried out stably and reliably.

[0036] Reference Figure 4 As shown, a first operation time prediction model for the operation equipment of the first production line node is constructed based on historical operation data, including obtaining a historical operation log table of the film production line; traversing the historical operation log table with the operation equipment of the first production line node as the retrieval target to extract the historical record data of the operation equipment of the first production line node; screening operation data samples, fault and maintenance record data samples, operation task data samples and operation time samples from the historical record data; constructing a neural network model, using the operation data samples, fault and maintenance record data samples and operation task data samples as input data, and using the operation time samples as output data to train the neural network model until the convergence condition is met to obtain the first operation time prediction model.

[0037] In specific application scenarios, historical equipment operation data includes equipment ID and type, operation status data (including equipment operation time, downtime, load, efficiency, etc.), equipment wear (such as equipment usage frequency, working hours, service life, etc.), task characteristics (such as work order type, operation content, complexity, etc.) and equipment maintenance and repair records (equipment maintenance history, fault downtime, repair records, etc.). Fault and repair records include fault type (such as electrical fault, mechanical fault), fault frequency (including the frequency of each fault and the fault interval), repair time and performance changes after the fault is repaired. Operation task data includes task complexity, material characteristics (including material type, specification, weight, etc.) and environmental conditions (such as temperature, humidity, etc.). Extract features related to equipment operation time from the original data, such as equipment wear, fault type and operation load, and generate input features through feature engineering as input to the operation time prediction model.

[0038] The first production line node is any production line node on the film production line, and the first operation time prediction model is an operation time prediction model of a device corresponding to any production line node. The first operation time prediction model should be understood as using a neural network architecture to construct a neural network basic model, training the neural network basic model through historical data, using operation data samples, fault and maintenance record data samples and operation task data samples as input data during training, and using operation time samples as output data to train the neural network model, and continuously optimizing the model parameters during the training process until the convergence requirements are met. The neural network basic model that is qualified after the training is completed and verified is the first operation time prediction model. After obtaining the first operation time prediction model, the operation data, faults and maintenance and operation tasks are input into the first operation time prediction model to obtain the equipment operation time. Fault and maintenance record data are questioned as model input, which allows the model to better understand the historical operation and failure mode of the equipment, identify the potential failure risk of the equipment, predict the possible failure of the equipment in advance, and finally evaluate the delay caused by potential failures by introducing the delay rate of the production line node, so as to dynamically adjust the mobile path more finely, reduce delays and transition waiting caused by unreasonable production scheduling, and improve overall production efficiency.

[0039] Furthermore, a training set and a test set are constructed to train the first operation time prediction model, which includes: step one: dividing the historical record data into m subsets, and performing sequence identification on the m subsets; step two: extracting one of the subsets as the test set, and combining the remaining m-1 subsets as the training set, and recording the performance parameters of the current subset as the test set; and repeating step two until each of the subsets is used as the test set once; step three: calculating the evaluation result of the first operation time prediction model based on the performance parameters of each of the subsets as the test set.

[0040] In specific application scenarios, historical data is divided into multiple subsets, each of which is used as a test set. Historical data can be fully utilized for model training and evaluation. By using different subsets as test sets, the generalization ability of the model can be verified, that is, whether the model has good predictive ability for data in different time periods or situations, and the risk of model overfitting can be reduced. Because each subset is used as a test set, the model will not rely too much on a specific data set during training. Finally, the average or weighted average of the performance parameters of each subset as a test set is calculated to obtain a comprehensive evaluation result of the model on the entire historical data, thereby comprehensively evaluating the performance of the model.

[0041] Further, obtaining the production delay rate of the first production line node according to the first operation prediction time, the movement time and the queuing time includes obtaining the production delay rate based on the following method: ;in, represents the production delay rate; T1 represents the first operation prediction time; T2 represents the moving time; T3 represents the queuing time; represents a nonlinear function; , and They represent the weights corresponding to the first operation prediction time, movement time and queuing time respectively.

[0042] In specific application scenarios, the production delay rate of a production line node is related to the operation time of the equipment, the movement time of the pallet, and the queuing time. A nonlinear weighting method is introduced to quantify the operation time, movement time, and queuing time into the production delay rate. Nonlinear functions include exponential functions, logarithmic functions, etc., which are used to simulate the interaction between various factors in the actual production environment, so that the change in the production delay rate has nonlinear characteristics, which can more accurately reflect the dynamic changes of production delays. In the embodiment of the present invention, the weights are obtained according to the nonlinear weighting method. , and Get production delay rate , nonlinear weighted method is also called composite model method, weight , and The weights can be allocated based on model performance, or based on the coverage or diversity of the model’s training data, or based on the Bayesian method, etc. Of course, they can also be initially set according to industry regulations or expert experience, and then adjusted based on adaptive weights.

[0043] Further, refer to Figure 5 As shown, the initial moving path of the pallet is adjusted according to the production delay rate of all the production line nodes, and obtaining the dynamic moving path includes comparing the production delay rate of the current first production line node with the production delay rate threshold; if the production delay rate of the current first production line node is less than the production delay rate threshold, moving to the next production line node according to the initial moving path; if the production delay rate of the current first production line node is greater than or equal to the production delay rate threshold, taking the next production line node of the initial moving path as the target production line node, taking the first production line node with the smallest production delay rate as the starting production line node, and moving from the current first production line node to the starting production line node and the target production line node in sequence to obtain the dynamic moving path.

[0044] In a specific application scenario, if the production delay rate of the current first production line node is less than the production delay rate threshold, then move to the next production line node according to the initial moving path. It should be noted here that the production delay rate threshold is pre-set and is pre-set according to actual production needs or order requirements. If the production delay rate of the current first production line node is less than the production delay rate threshold, it indicates that the production delay rate of the current first production line node is allowed, or is acceptable according to order requirements, and the initial moving path is not adjusted to avoid frequent adjustments to the moving path that will lead to reduced efficiency. If the production delay rate of the current first production line node is greater than or equal to the production delay rate threshold, it indicates that the production delay rate of the current first production line node is not allowed, triggering the adjustment of the moving path. The adjustment strategy includes: taking the next production line node of the initial moving path as the target production line node, taking the first production line node with the smallest production delay rate as the starting production line node, and moving from the current first production line node to the starting production line node and the target production line node in sequence to obtain the dynamic moving path. In a specific application scenario, refer to Figure 6 and Figure 7As shown, the current first production line node is a weighing node, and there are at least three weighing nodes (A1, A2, A3; among which A1 is the current weighing node). According to the initial moving path, the next production line node is the labeled node B. The production delay rate of node A1 is greater than or equal to the production delay rate threshold. Then, the node with the smallest production delay rate is selected from nodes A2 and A3 as the starting production line node. Assuming that the production delay rate of node A2 is less than the production delay rate of node A3, it first moves from node A1 to node A2 and then to node B. In this way, a dynamic moving path from node A1 to node B is constructed.

[0045] The optimized moving path is determined based on the production delay rate of each production line node to obtain the optimal path combining the minimum delay and the shortest moving path, greatly improving production efficiency.

[0046] Embodiment 2

[0047] Based on the same inventive concept, Figure 8 As shown, an embodiment of the present invention provides a thin film production control system, including: A work order receiving module, which is used to receive film production work order information; A production line node determination module, which is used to determine the production line nodes according to the film production work order information; wherein the production line nodes include one or any combination of slitting, weighing, labeling, packaging, caching and warehousing; A pallet path configuration module, which is used to configure the initial movement path of the pallet according to the production line node, wherein the pallet is used to perform information binding with the finished material roll obtained by slitting, and transport the finished material roll bound with the information to move on the film production line; An operation time prediction module, which is obtained through training based on historical operation data and is used to obtain the predicted operation time of the equipment based on the work order task; A path status acquisition module, which is used to acquire the moving time of the finished product roll from the first production line node to the second production line node; and acquire the queuing time according to the path status between the first production line node and the second production line node; wherein the second production line node is the next node in the moving direction of the first production line node; A production delay rate calculation module, which is used to calculate the production delay rate according to the operation prediction time, the movement time and the queuing time; A dynamic path adjustment module, which is used to dynamically adjust the initial moving path according to the production delay rate of each production line node; A production control module is used to control the production of the finished material roll according to the dynamically adjusted moving path.

[0048] The thin film production control system described in the embodiment of the present invention is used to execute the above-mentioned thin film production control method and has the same technical effect.

[0049] In summary, the film production control method and system described in the present invention guide the movement of finished material rolls based on a dynamic moving path, adapt to the load changes of the BOPP film production line and improve production efficiency; in addition, the dynamic moving path comprehensively considers the operating equipment's own operating conditions, equipment load and path status, and further optimizes the path to ensure the orderly and efficient operation of large-scale and multi-specification production; further, the operation prediction time of the equipment corresponding to each production line node is obtained based on historical operation data, so as to discover potential failures of the equipment and further refine the moving path to reduce stagnation and delays in the production process and further improve production efficiency.

[0050] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0051] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0052] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0053] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0054] Obviously, the above embodiments are merely examples for clear explanation and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from these are still within the protection scope of the invention.

Claims

1. A film production control method, characterized in that: include, Determine the production line nodes based on the film production work order information; The initial moving path of the pallet is configured according to the production line node; wherein the pallet is used to transport the finished product roll bound with information thereof to move on the film production line; Inputting the work order task of the operating equipment of the first production line node into a pre-built first operation time prediction model to obtain a first operation prediction time; Obtaining the moving time of the finished product roll from the first production line node to the second production line node; and obtaining the queuing time according to the path status between the first production line node and the second production line node; wherein the second production line node is the next node in the moving direction of the first production line node; Obtaining a production delay rate of a first production line node according to the first operation prediction time, the movement time, and the queuing time; Adjusting the initial moving path of the pallet according to the production delay rate of all production line nodes to obtain a dynamic moving path; The production of finished product rolls is controlled according to the dynamic movement path.

2. The film production control method according to claim 1, characterized in that: Also includes, Measuring the weight of the finished material roll online to obtain a weight measurement value of the finished material roll; Extracting the order weight of the finished roll from the film production work order information; Determine whether the difference between the weight measurement value and the order weight exceeds the weight error range: if it exceeds the weight error range, guide the pallet into the NG movement path; if it does not exceed the weight error range, adjust the initial movement path of the pallet according to the production delay rate.

3. The film production control method according to claim 1, characterized in that: The initial movement path of the pallet is configured according to the production line node, including: Extracting finished product roll specification data and node attribute parameters from the film production work order information; wherein the node attribute parameters include the operation specifications of the finished product roll at each of the production line nodes; Matching corresponding equipment in the film production line according to the finished product roll specification data, the production line nodes and the node attribute parameters to obtain a plurality of path nodes; The initial moving path is planned according to the plurality of path nodes.

4. The film production control method according to claim 1 or 3, characterized in that: Configuring the initial movement path of the pallet according to the production line node also includes: Obtaining property parameters of equipment corresponding to each production line node in the film production line, and obtaining equipment completion indicators according to the property parameters of the equipment; Calculate the task index according to the finished product roll specification data, production line nodes and node attribute parameters, match the equipment whose equipment completion index is greater than or equal to the task index in the film production line, and obtain a plurality of the path nodes; Obtaining a set of moving paths according to the plurality of path nodes; The moving path set is traversed, and the initial moving path is searched for with the shortest path as the goal.

5. The film production control method according to claim 1, characterized in that: Constructing a first operation time prediction model, including, Get the historical operation log table of the film production line; Taking the operating device of the first production line node as a search target, traversing the historical operation log table to extract historical record data of the operating device of the first production line node; Filtering operation data samples, fault and maintenance record data samples, operation task data samples and operation time samples from the historical record data; Construct a neural network model, use the operation data samples, fault and maintenance record data samples and operation task data samples as input data, and use the operation time samples as output data to train the neural network model until the convergence condition is met to obtain the first operation time prediction model.

6. The film production control method according to claim 5, characterized in that: Constructing a training set and a test set to train the first operation time prediction model, which includes: Step 1: Divide the historical record data into m subsets, and perform sequence identification on the m subsets; Step 2: extract one of the subsets as the test set, and combine the remaining m-1 subsets as the training set, and record the performance parameters of the current subset as the test set; and repeat step 2 until each of the subsets is used as the test set once; Step three: Calculate the evaluation result of the first operation time prediction model based on the performance parameters of each of the subsets as the test set.

7. The film production control method according to claim 1, characterized in that: Obtaining the production delay rate of the first production line node according to the first operation prediction time, the moving time and the queuing time includes: The production delay rate is obtained based on the following method: ； in, represents the production delay rate; T1 represents the first operation prediction time; T2 represents the moving time; T3 represents the queuing time; represents a nonlinear function; , and They represent the weights corresponding to the first operation prediction time, movement time and queuing time respectively.

8. The film production control method according to claim 1 or 7, characterized in that: The initial moving path of the pallet is adjusted according to the production delay rate of all the production line nodes to obtain a dynamic moving path, including: Comparing the production delay rate of the current first production line node with a production delay rate threshold; If the production delay rate of the current first production line node is less than the production delay rate threshold, move to the next production line node according to the initial moving path; If the production delay rate of the current first production line node is greater than or equal to the production delay rate threshold, the next production line node of the initial moving path is taken as the target production line node, and the first production line node with the smallest production delay rate is taken as the starting production line node. The dynamic moving path is obtained by moving from the current first production line node to the starting production line node and the target production line node in sequence.

9. The film production control method according to claim 1, characterized in that: The pallet communicates with the film production line based on RFID, and the pallet transmits back the location information of the finished material roll in real time by binding with the finished material roll information; wherein, when the pallet moves to the last production line node of the film production work order, the information is unbound from the finished material roll execution information.

10. A film production control system, characterized in that: include, The production line node determination module determines the production line node according to the film production work order information; A pallet path configuration module, which configures an initial movement path of a pallet according to the production line node, wherein the pallet is used to transport a finished product roll bound with information thereof to move on a film production line; The operation time prediction module is trained based on historical operation data and is used to obtain the predicted operation time of the equipment based on the work order task; A path status acquisition module is used to acquire the moving time of the finished product roll from the first production line node to the second production line node; and to acquire the queuing time according to the path status between the first production line node and the second production line node; wherein the second production line node is the next node in the moving direction of the first production line node; A production delay rate calculation module, which calculates the production delay rate according to the operation prediction time, the movement time and the queuing time; A dynamic path adjustment module dynamically adjusts the initial moving path according to the production delay rate of all production line nodes; The production control module controls the production of the finished product roll according to the dynamically adjusted moving path.

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