Automated control method for tension belt production

Abstract

The present invention discloses an automated control method for the production of tension bands, which belongs to the field of cutting control, and includes: setting a bidirectional cutting device for cutting the tension band, which is set on a double-line conveyor belt; obtaining the production parameter information of the preset tension band, extracting the first cutting length and the second cutting length, and if the two cutting lengths are not the same, obtaining the first conveying parameter and the second conveying parameter; inputting the first conveying parameter and the first cutting length, the second conveying parameter and the second cutting length into a cutting automatic control model, obtaining the first cutting parameter and the second cutting parameter; and performing cutting control according to the first cutting parameter and the second cutting parameter. The present invention solves the technical problems that the existing tension band cutting device has low cutting efficiency, unstable cutting accuracy, and is difficult to meet the requirements of efficient and precise cutting production, and achieves the technical effect of improving cutting efficiency through a bidirectional cutting device, ensuring the stability of cutting accuracy, and realizing efficient and precise cutting production.

Description

Technical Field

[0001] The invention relates to the field of cutting control, and in particular to an automated control method for producing tension bands. Background Art

[0002] In the production process of tension bands, the cutting process is a key link, and its cutting efficiency and cutting accuracy directly affect the production speed and quality of the finished product of the tension band products. At present, the tension band cutting devices in the prior art mainly include two types: unidirectional cutting devices and traditional bidirectional cutting devices. Among them, the unidirectional cutting device usually adopts a single cutting head to produce tension bands of different lengths through intermittent cutting. This cutting method has low cutting efficiency; although the traditional bidirectional cutting device improves the cutting efficiency to a certain extent by setting two cutting ends, its cutting control method is still relatively extensive. The adjustment of cutting parameters depends on manual experience and lacks intelligent and adaptive control methods. As a result, the traditional bidirectional cutting device needs to frequently adjust the cutting parameters when cutting tension bands of different lengths. The improvement of cutting efficiency is limited, and the stability of cutting accuracy is difficult to guarantee. Summary of the invention

[0003] This application provides an automated control method for tension band production, aiming to solve the technical problems of low cutting efficiency, unstable cutting accuracy and difficulty in meeting the needs of efficient and precise cutting production in existing tension band cutting devices.

[0004] The present application discloses an automated control method for the production of tension belts, comprising: providing a bidirectional cutting device for cutting the tension belt, the bidirectional cutting device comprising a first cutting end and a second cutting end; providing the bidirectional cutting device on a double-line conveyor belt, wherein the double-line conveyor belt comprises a first conveyor belt and a second conveyor belt, the first cutting end acts on the first conveyor belt, and the second cutting end acts on the second conveyor belt; obtaining production parameter information of a preset tension belt, extracting a first cutting length and a second cutting length, and if the first cutting length and the second cutting length are different, obtaining first conveying parameters and second conveying parameters of the first conveyor belt and the second conveyor belt; inputting the first conveying parameter and the first cutting length, the second conveying parameter and the second cutting length into a cutting automatic control model, and obtaining the first cutting parameter and the second cutting parameter; the bidirectional cutting device performs cutting control according to the first cutting parameter and the second cutting parameter.

[0005] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0006] Due to the use of a bidirectional cutting device for cutting the tension belt, the bidirectional cutting device includes a first cutting end and a second cutting end. By introducing the bidirectional cutting device, a hardware foundation is provided for cutting the tension belt in two directions at the same time, which lays a foundation for improving the cutting efficiency; the bidirectional cutting device is arranged on a double-line conveyor belt, wherein the double-line conveyor belt includes a first conveyor belt and a second conveyor belt, the first cutting end acts on the first conveyor belt, and the second cutting end acts on the second conveyor belt. By combining the bidirectional cutting device with the double-line conveyor belt, the organic integration of the cutting device and the conveying device is realized, so that the tension belt can pass through the cutting area continuously and smoothly, providing conditions for realizing automated and continuous cutting production; obtaining the production parameter information of the preset tension belt, extracting the first cutting length and the second cutting length, if the first cutting length and the second cutting length are different, obtaining the first conveying parameter and the second conveying parameter of the first conveyor belt and the second conveyor belt, and extracting the cutting length parameter by obtaining and analyzing the production parameters of the tension belt, providing data support for subsequent cutting control, and at the same time, through Determine whether the two cutting lengths are the same, obtain the corresponding conveyor belt parameters, and prepare for flexible cutting of tension belts of different lengths; input the first conveying parameter and the first cutting length, the second conveying parameter and the second cutting length into the cutting automatic control model, obtain the first cutting parameter and the second cutting parameter, introduce the cutting automatic control model, combine the cutting length and the conveying parameter, and obtain the optimal cutting parameter combination, so as to realize adaptive optimization control of the cutting process and improve cutting efficiency and accuracy; the bidirectional cutting device performs cutting control according to the first cutting parameter and the second cutting parameter, and applies the obtained optimal cutting parameters to the actual cutting control of the bidirectional cutting device, and realizes efficient and accurate tension belt cutting by precisely controlling the cutting action of the first cutting end and the second cutting end, solves the technical problems of low cutting efficiency, unstable cutting accuracy, and difficulty in meeting the production requirements of efficient and accurate cutting of the existing tension belt cutting device, and achieves the technical effect of improving cutting efficiency, ensuring cutting accuracy stability, and realizing efficient and accurate cutting production through the bidirectional cutting device.

[0007] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 A flow chart of an automated control method for producing a tension band is provided for an embodiment of the present application;

[0009] Figure 2A flow chart of outputting a cutting parameter solution space in an automated control method for producing tension bands is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0010] The overall idea of ​​the technical solution provided by this application is as follows:

[0011] The embodiment of the present application provides an automated control method for the production of tension bands. First, a bidirectional cutting device is provided, including a first cutting end and a second cutting end, which can cut the tension band in two directions at the same time, thereby improving the cutting efficiency. Then, the bidirectional cutting device is provided on a double-line conveyor belt, and the cutting device and the conveying device are integrated through an organic combination with the first conveyor belt and the second conveyor belt, so that the tension band can pass through the cutting area continuously and smoothly, thereby creating conditions for automated and continuous cutting production. During the cutting control process, the production parameter information of the preset tension band is obtained, the first cutting length and the second cutting length are extracted, and the corresponding conveying parameters are obtained according to different cutting length conditions. Subsequently, these parameters are input into the cutting automatic control model to obtain the optimal cutting parameter combination, thereby realizing adaptive optimization control of the cutting process. Finally, the obtained optimal cutting parameters are applied to the actual cutting control of the bidirectional cutting device, and efficient and accurate tension band cutting is realized by precisely controlling the cutting action of the first cutting end and the second cutting end.

[0012] After introducing the basic principles of the present application, the non-limiting implementation methods of the present application will be specifically introduced below in conjunction with the drawings in the specification.

[0013] like Figure 1 As shown, the embodiment of the present application provides an automated control method for tension band production, the method comprising:

[0014] S1: A bidirectional cutting device for cutting the tension band is provided, wherein the bidirectional cutting device comprises a first cutting end and a second cutting end.

[0015] Specifically, first, a bidirectional cutting device for cutting the tension band is provided, and the bidirectional cutting device includes a cutting head, and the cutting head has two cutting ends, namely a first cutting end and a second cutting end. The setting of the bidirectional cutting device can realize bidirectional cutting of the tension band. Specifically, the first cutting end cuts in one direction (such as upward and left), and the second cutting end cuts in another direction (such as downward and right). By setting the bidirectional cutting device, two different cutting ends are integrated on the bidirectional cutting device, the cutting efficiency is improved, and the foundation is laid for realizing efficient and flexible tension band cutting control.

[0016] S2: The bidirectional cutting device is arranged on a double-line conveyor belt, wherein the double-line conveyor belt comprises a first conveyor belt and a second conveyor belt, the first cutting end acts on the first conveyor belt, and the second cutting end acts on the second conveyor belt.

[0017] Specifically, the double-line conveyor belt includes a first conveyor belt and a second conveyor belt, and the bidirectional cutting device is arranged in the middle of the first conveyor belt and the second conveyor belt. The first conveyor belt is located on one side of the bidirectional cutting device, and the second conveyor belt is located on the other side of the bidirectional cutting device. The two conveyor belts are arranged in parallel and are used to convey the tension belt. Under this arrangement, the first cutting end of the bidirectional cutting device corresponds to the first conveyor belt, and is used to perform a cutting operation on the tension belt on the first conveyor belt; the second cutting end corresponds to the second conveyor belt, and is used to perform a cutting operation on the tension belt on the second conveyor belt.

[0018] Through the arrangement of bidirectional cutting and double-line conveying, the bidirectional cutting device can fully utilize the conveying capacity of the two conveyor belts, while improving the cutting efficiency, creating favorable conditions for the flexible cutting of tension belts of different lengths.

[0019] S3: Obtain production parameter information of a preset tension belt, extract a first cutting length and a second cutting length, and if the first cutting length and the second cutting length are different, obtain first conveying parameters and second conveying parameters of the first conveyor belt and the second conveyor belt.

[0020] Specifically, first, the preset tension belt production parameter information is obtained, and the production parameter information includes but is not limited to the material type, width, thickness, production speed, and type and properties of the cutting tool of the tension belt. These parameter information can be obtained in a variety of ways, such as manual input, automatic detection by sensors, or communication with a host computer. After obtaining the production parameter information, the first cutting length and the second cutting length are extracted from it, which correspond to the cutting lengths of the bidirectional cutting device on the first conveyor belt and the second conveyor belt, respectively, to determine the length of each cutting of the tension belt.

[0021] Next, determine whether the first cutting length and the second cutting length are the same. If the two cutting lengths are different, it means that different lengths of tension belts need to be cut on the two conveyor belts. At this time, it is necessary to further obtain the conveying parameters of the first conveyor belt and the second conveyor belt, such as conveying speed, acceleration, etc. These conveying parameters will be used together with the cutting length to subsequently obtain the corresponding cutting parameters to achieve accurate cutting control of tension belts of different lengths.

[0022] S4: Inputting the first conveying parameter and the first cutting length, the second conveying parameter and the second cutting length into a cutting automatic control model to obtain a first cutting parameter and a second cutting parameter.

[0023] Specifically, after obtaining the first conveying parameter and the first cutting length, the second conveying parameter and the second cutting length, the first conveying parameter, the first cutting length, the second conveying parameter and the second cutting length are used as inputs and passed to a preset automatic cutting control model. The automatic cutting control model is constructed based on machine learning algorithms, expert experience, etc., and is used to calculate the optimal cutting parameters according to the input parameters. For example, first collect a large amount of historical cutting data, including cutting parameters (such as cutting speed, cutting force, cutting knife angle, etc.) and cutting performance indicators (such as cutting quality, cutting efficiency, tool wear, etc.); perform preprocessing operations such as cleaning, filtering, and normalization on the collected data to improve data quality and availability; use correlation analysis, principal component analysis and other methods to select or extract feature variables that have a greater impact on cutting performance from the preprocessed data, such as cutting length, material thickness, conveyor belt speed, etc., to achieve feature optimization and dimensionality reduction; according to the characteristics and requirements of the cutting control problem, select a suitable machine learning model, such as a neural network, a decision tree, etc., use the selected model to train the preprocessed data, and optimize the model's fitting ability and generalization performance by continuously adjusting the model's hyperparameters and structure; use cross-validation, leave-one-out and other methods, use a part of independent cutting data to verify and test the trained model, evaluate the output accuracy of the model, and obtain a cutting automatic control model when the preset accuracy requirements are met. After receiving the input parameters, the cutting automatic control model comprehensively considers the operating parameters of the conveyor belt, such as speed and acceleration, and the cutting length requirements of the tension belt, and generates the optimal cutting parameters for the first cutting end and the second cutting end, namely the first cutting parameters and the second cutting parameters. These cutting parameters include cutting timing, cutting speed, cutting force, etc., which are used to guide the bidirectional cutting device to perform accurate and efficient cutting operations.

[0024] The introduction of the cutting automatic control model makes the calculation process of cutting parameters automated and intelligent. Compared with fixed configuration cutting parameters, it can dynamically adjust the cutting strategy according to real-time production parameters to adapt to different cutting length requirements and production conditions, thereby improving cutting accuracy and efficiency. The first cutting parameter and the second cutting parameter obtained will be directly applied to the control of the bidirectional cutting device in the subsequent cutting execution, guiding the bidirectional cutting device to accurately cut the tension belts on the first conveyor belt and the second conveyor belt according to different cutting length requirements.

[0025] By introducing the automatic cutting control model, the intelligent calculation of cutting parameters is realized, and the acquired cutting length and conveying parameters are fully utilized to generate the optimal cutting parameters, laying the foundation for achieving efficient, accurate and flexible cutting control.

[0026] S5: The bidirectional cutting device performs cutting control according to the first cutting parameter and the second cutting parameter.

[0027] Specifically, after obtaining the first cutting parameter and the second cutting parameter, the first cutting parameter and the second cutting parameter are sent to the bidirectional cutting device to guide it to perform the cutting operation. After receiving the first cutting parameter and the second cutting parameter, the bidirectional cutting device automatically adjusts the operating state of the first cutting end and the second cutting end according to the parameter requirements to adapt to different cutting length requirements. Among them, for the first cutting end, the bidirectional cutting device performs corresponding cutting control according to the first cutting parameter, including controlling the first cutting end to start cutting at a specific time, cutting the tension belt on the first conveyor belt at a specific speed and force, and stopping cutting after completing the cutting of the specified length. Similarly, for the second cutting end, the bidirectional cutting device performs corresponding cutting control according to the second cutting parameter to cut the tension belt on the second conveyor belt.

[0028] Through precise control of the bidirectional cutting device, highly automated and intelligent cutting operations are achieved. Regardless of whether the tension bands of the same length or different lengths need to be cut, the bidirectional cutting device can flexibly and efficiently complete the cutting task according to the guidance of the cutting parameters, thereby improving cutting efficiency and product quality.

[0029] Furthermore, the embodiment of the present application also includes:

[0030] The bidirectional cutting device is arranged between the first conveyor belt and the second conveyor belt, and the first conveyor belt and the second conveyor belt are conveyed horizontally;

[0031] The first conveyor belt is located above the bidirectional cutting device, and the first cutting end performs an upper cutting operation. The second conveyor belt is located below the bidirectional cutting device, and the second cutting end performs a lower cutting operation.

[0032] In a preferred embodiment, the bidirectional cutting device is disposed in the middle position of the first conveyor belt and the second conveyor belt. The first conveyor belt and the second conveyor belt are arranged in parallel and used to convey the tension belt horizontally. By utilizing the conveying capacity of the conveyor belt, the tension belt can continuously and stably pass through the bidirectional cutting device, creating conditions for efficient cutting. Specifically, the first conveyor belt is located above the bidirectional cutting device, corresponding to the first cutting end of the bidirectional cutting device. During the cutting operation, the first cutting end performs an upward cutting action to cut the tension belt on the first conveyor belt. At the same time, the second conveyor belt is located below the bidirectional cutting device, corresponding to the second cutting end of the cutting device. The second cutting end performs a downward cutting action to cut the tension belt on the second conveyor belt.

[0033] The arrangement of the upper and lower conveyor belts and the middle cutting device fully utilizes the advantages of the bidirectional cutting device. Two cutting ends are integrated on one cutting device and arranged between the two conveyor belts, realizing bidirectional cutting of the tension belt and improving cutting efficiency and flexibility. Whether the cutting requirements are the same length or different lengths, the cutting task can be completed quickly and accurately by flexibly controlling the movements of the two cutting ends.

[0034] Furthermore, the implementation of this application also includes:

[0035] Inputting the first conveying parameter and the first cutting length, the second conveying parameter and the second cutting length into a cutting automatic control model, wherein the cutting automatic control model includes a bidirectional timing conflict detection network and a cutting quality prediction network to train the cutting automatic control model;

[0036] Outputting a cutting parameter solution set space according to the bidirectional timing conflict detection network, wherein the cutting parameter solution set space is a solution set space returned as empty by the bidirectional timing conflict detection;

[0037] An optimization is performed in the cutting parameter solution set space according to the cutting quality prediction network, and a cutting parameter solution obtained by the optimization is output, wherein the cutting parameter solution includes a first cutting parameter and a second cutting parameter.

[0038] In a preferred embodiment, the two components of the cutting automatic control model, namely, the bidirectional timing conflict detection network and the cutting quality prediction network, work together to achieve intelligent calculation and optimization of cutting parameters.

[0039] During the working process of the bidirectional cutting device, the first cutting end and the second cutting end perform cutting actions according to a certain time sequence and order. If the cutting actions of the two cutting ends overlap or interfere in time, it will cause cutting conflicts, affecting the cutting quality and efficiency. Therefore, the first conveying parameter, the first cutting length, the second conveying parameter and the second cutting length are passed as inputs to the cutting automatic control model. The cutting automatic control model first uses a bidirectional timing conflict detection network to analyze the input parameters, analyze the time attributes and logical relationships of the cutting parameters, and detect the conflicts of the cutting parameters in the time sequence, that is, to determine whether there is time overlap or interference between different cutting actions. Through the detection of the bidirectional timing conflict detection network, the cutting parameter solution space is obtained, which contains all the cutting parameter combinations that meet the timing constraints and do not have conflicts, representing the feasible cutting parameter range.

[0040] After obtaining the cutting parameter solution set space, the cutting automatic control model further uses the cutting quality prediction network to search for the best solution in the cutting parameter solution set space. The cutting quality prediction network predicts the cutting quality corresponding to different cutting parameter combinations and selects the optimal parameter combination as the output. Among them, the optimization process considers multiple quality indicators such as cutting efficiency, cutting accuracy, and energy consumption, in order to obtain the cutting parameters with the best comprehensive performance. After the optimization of the cutting quality prediction network, the cutting automatic control model finally outputs the optimal cutting parameter solution, including the first cutting parameter and the second cutting parameter, which fully considers the timing constraints and quality requirements, and guides the bidirectional cutting device to perform efficient, accurate, and conflict-free cutting operations.

[0041] By introducing a bidirectional timing conflict detection network and a cutting quality prediction network, parameter solving and optimization are performed, thus realizing the automatic and intelligent calculation of cutting parameters, providing support for high-quality and efficient tension band cutting.

[0042] Further, such as Figure 2 As shown, the embodiment of the present application also includes:

[0043] Acquire an initial solution, wherein the initial solution includes a first initial cutting parameter and a second initial cutting parameter;

[0044] Predicting the initial solution according to the bidirectional timing conflict detection network, and outputting a first predicted cutting control timing curve and a second predicted cutting control timing curve;

[0045] Perform bidirectional timing conflict detection on the first predicted cutting control timing curve and the second predicted cutting control timing curve, obtain the conflict detection of the initial solution and return empty, and store the initial solution in the cutting parameter solution set space.

[0046] In a feasible implementation, a cutting parameter solution set space is constructed through a bidirectional timing conflict detection network to ensure the timing feasibility and conflict avoidance of the cutting parameters.

[0047] In order to obtain the cutting parameter solution set space, first, according to the value range and constraint conditions of the cutting parameters, a set of first initial cutting parameters and second initial cutting parameters are randomly generated as the initial solution, representing a cutting parameter setting of the bidirectional cutting device. After obtaining the initial solution, it is input into the bidirectional timing conflict detection network for prediction analysis. Based on the initial solution, the network outputs two predicted cutting control timing curves, namely the first predicted cutting control timing curve and the second predicted cutting control timing curve. These two timing curves depict the predicted cutting behaviors of the first cutting end and the second cutting end in a future period of time under the given initial solution. In order to verify the temporal feasibility of the initial solution, the first predicted cutting control timing curve and the second predicted cutting control timing curve are subjected to bidirectional timing conflict detection. By analyzing the intersection points, overlapping intervals and other features of the two timing curves, it is determined whether the cutting control strategy corresponding to the initial solution has a timing conflict, such as time overlap of the cutting action, logical contradiction, etc. If the result of the bidirectional timing conflict detection shows that the initial solution does not have a timing conflict, that is, the conflict detection returns empty, it means that the initial solution is a temporally feasible cutting parameter combination. At this time, the initial solution is stored in the cutting parameter solution set space as one of the candidate solutions for subsequent cutting quality prediction and parameter optimization. Subsequently, new candidate solutions are explored in the neighborhood of the initial solution, or new candidate solutions are randomly generated according to the range of cutting parameter values ​​and constraints. For each newly generated candidate solution, a time series conflict detection is performed, and the candidate solutions that pass the conflict detection are added to the cutting parameter solution set space.

[0048] Through the iterative conflict detection and solution space construction process, the cutting parameter combinations that meet the timing constraints can be effectively identified and screened, and incorporated into the cutting parameter solution space, providing a high-quality cutting parameter solution space for subsequent parameter optimization.

[0049] Further, the bidirectional timing conflict detection network is obtained, and the method further includes:

[0050] Collecting multiple groups of sample data sets during the reciprocating cutting process of the bidirectional cutting device;

[0051] Obtaining bidirectional cutting time loss characteristics according to the multiple groups of sample data sets;

[0052] Feedback optimization is performed on the bidirectional timing conflict detection network according to the bidirectional cutting time loss characteristics to obtain an optimized bidirectional timing conflict detection network.

[0053] In a preferred embodiment, in order to obtain a bidirectional timing conflict detection network with excellent performance, first, sample data of the bidirectional cutting device during actual operation is collected. Specifically, the bidirectional cutting device is subjected to multiple reciprocating cutting operations, that is, multiple up-and-down cuttings are performed at the first cutting end and the second cutting end, respectively, and a set of sample data is collected during each cutting process to obtain multiple sets of sample data sets. Each sample data includes information in multiple dimensions such as cutting parameters, cutting time, and cutting quality, and comprehensively records the actual operating status and performance of the bidirectional cutting device under different cutting directions and conditions.

[0054] After obtaining multiple sets of sample data sets, the data is analyzed and features are extracted. Among them, the key feature is the bidirectional cutting time loss feature, which describes the additional time overhead and efficiency loss caused by factors such as timing conflicts and cutting action interference during the bidirectional cutting process. By obtaining the bidirectional cutting time loss feature in the sample data set, the actual timing conflicts and efficiency bottlenecks of the bidirectional cutting device are quantitatively evaluated.

[0055] Afterwards, based on the extracted bidirectional cutting time loss characteristics, the bidirectional timing conflict detection network is feedback optimized. Specifically, the bidirectional cutting time loss characteristics are used as the optimization target and feedback signal of the network. By adjusting the network structure, parameters and training algorithm, the accuracy and efficiency of conflict detection can be improved while minimizing the time loss. Through the optimization method based on actual data feedback, the performance and generalization ability of the bidirectional timing conflict detection network can be effectively improved, so that it can better adapt to the needs of the actual cutting environment. After the optimization process, a better-performing and more stable bidirectional timing conflict detection network is obtained, which can reduce the occurrence of timing conflicts and improve the overall efficiency and cutting quality of the bidirectional cutting device.

[0056] Furthermore, the embodiment of the present application also includes:

[0057] Collecting multiple groups of sample data sets during the reciprocating cutting process of the bidirectional cutting device;

[0058] Among them, the multiple groups of sample data sets include a first sample data set characterizing that the bidirectional cutting device returns to the initial position after cutting upward based on a preset initial position, a second sample data set characterizing that the bidirectional cutting device returns to the initial position after cutting downward based on the preset initial position, and a third sample data set characterizing that the bidirectional cutting device cuts upward, returns to the initial position, and then cuts downward.

[0059] In a feasible implementation manner, the multiple groups of sample data sets collected during the reciprocating cutting process of the bidirectional cutting device include three types of sample data sets.

[0060] First, a first sample data set is characterized in which the bidirectional cutting device returns to the initial position after cutting upwards based on a preset initial position. In this scenario, the bidirectional cutting device starts from the preset initial position, first performs a cutting operation upwards, and then returns to the initial position, and records and collects various parameters and performance data in this process to form the first sample data set.

[0061] Second, a second sample data set is used to characterize the bidirectional cutting device after cutting downwards from a preset initial position and then returning to the initial position. Similar to the first scenario, the bidirectional cutting device starts from a preset initial position, performs a cutting operation downwards, and then returns to the initial position, recording and collecting various parameters and performance data during this process to form a second sample data set.

[0062] Third, the third sample data set characterizing the bidirectional cutting device cutting upward, returning to the initial position, and then cutting downward. In this scenario, the bidirectional cutting device first cuts upward from the initial position, returns to the initial position, and then continues to cut downward. This process covers a complete cycle of reciprocating cutting. Various parameters and performance data in this cycle are recorded and collected to form the third sample data set.

[0063] Through the sample data collection of three parts, comprehensive and rich bidirectional cutting device operation data were obtained, covering cutting samples of different cutting controls in the reciprocating cutting process, providing sufficient data support for the optimization of the bidirectional timing conflict detection network, enabling the network to comprehensively learn and master the timing characteristics and conflict patterns of the bidirectional cutting device in different cutting scenarios, thereby providing more accurate and intelligent conflict detection services.

[0064] Furthermore, according to the cutting quality prediction network, optimization is performed in the cutting parameter solution set space, and the method further includes:

[0065] Performing quality prediction on each solution in the cutting parameter solution set space according to the cutting quality prediction network to obtain a predicted quality set;

[0066] The quality prediction includes predicting the load failure probability, cutting efficiency and production line energy consumption of the bidirectional cutting device corresponding to each solution;

[0067] The solution with the highest prediction quality in the prediction quality set is taken as the cutting parameter solution obtained by optimization.

[0068] In a feasible implementation, the cutting quality prediction network performs an optimization operation in the cutting parameter solution set space to identify the cutting parameter solution with the highest quality and the best performance.

[0069] First, the cutting quality prediction network predicts the quality of each solution in the cutting parameter solution set space, predicts its quality performance in the actual cutting process by analyzing the cutting parameters corresponding to each solution, and stores the prediction results in the predicted quality set. When making quality predictions, the cutting quality prediction network comprehensively considers multiple key quality indicators, including the probability of device load failure, cutting efficiency, and production line energy consumption. Among them, the device load failure probability reflects the possibility of load failure in the bidirectional cutting device under the current cutting parameters. By predicting the device load failure probability, the stability and reliability of each cutting parameter solution are evaluated; the cutting efficiency measures the production efficiency and time utilization of the bidirectional cutting device under the current cutting parameters. By predicting the cutting efficiency, the impact of each cutting parameter solution on the cutting productivity is evaluated; the production line energy consumption reflects the energy consumption of the current cutting parameters. By analyzing the energy consumption corresponding to each cutting parameter solution, its impact on the energy consumption of the entire production line is predicted to achieve the goal of energy saving and efficiency improvement.

[0070] After obtaining the prediction quality set, the cutting quality prediction network searches for the solution with the highest prediction quality score in the prediction quality set and takes it as the optimal cutting parameter solution. For example, by weighting, the device load failure probability, cutting efficiency and production line energy consumption of each solution are calculated to obtain the prediction quality of each solution. The solution with the highest prediction quality is taken as the best choice in the cutting parameter solution set space, which can maximize production efficiency and energy utilization while ensuring cutting quality and stability, and is used as the cutting parameter solution obtained by optimization.

[0071] By utilizing the cutting quality prediction network, the cutting parameter solution with the best comprehensive performance is intelligently searched in the cutting parameter solution set space, which fully balances multiple goals such as cutting quality, production efficiency and energy consumption, and provides support for achieving high-quality, efficient, energy-saving and efficiency-enhancing cutting production.

[0072] Furthermore, the embodiment of the present application also includes:

[0073] If the first cutting length and the second cutting length are the same, obtaining a timing misalignment control instruction according to the bidirectional cutting time loss characteristic;

[0074] According to the first cutting length, obtaining a first conveying control timing curve corresponding to the first conveyor belt;

[0075] Performing timing misalignment processing on the first conveying control timing curve according to the timing misalignment control instruction, and outputting a second conveying control timing curve;

[0076] The first conveying belt and the second conveying belt are controlled correspondingly by the first conveying control timing curve and the second conveying control timing curve.

[0077] In a feasible implementation, a dual-line conveyor belt cooperative control method based on timing staggered control is provided, so that when the cutting length is the same, cutting conflicts can be avoided and cutting efficiency can be improved by staggered operation of the conveyor belts.

[0078] First, the first cutting length and the second cutting length are extracted. When it is detected that the two cutting lengths are the same, the timing misalignment control mechanism is triggered and a timing misalignment control instruction is generated. The generation of the timing misalignment control instruction is based on the bidirectional cutting time loss characteristics. Specifically, the bidirectional cutting time loss characteristics in the historical cutting data are analyzed to identify the time waste and efficiency loss caused by cutting conflicts when the cutting lengths are the same, thereby obtaining the timing misalignment amount and generating the corresponding timing misalignment control instruction.

[0079] While generating the timing misalignment control instruction, the first conveying control timing curve corresponding to the first conveyor belt is obtained according to the first cutting length, and the operation timing and control strategy of the first conveyor belt under the normal cutting length are described. Next, the timing misalignment control instruction is applied to the first conveying control timing curve to perform timing misalignment processing on it. The second conveying control timing curve is generated by shifting the first conveying control timing curve backward by a specified amount of time. Compared with the first conveying control timing curve, the second conveying control timing curve has a certain delay and misalignment in time. Finally, the first conveying control timing curve and the second conveying control timing curve are respectively applied to the operation control of the first conveyor belt and the second conveyor belt. Under this control strategy, the two conveyor belts run according to the misaligned timing curve, forming a certain time difference. This time difference causes the two cutting ends to stagger in the cutting action, avoiding the occurrence of cutting conflicts. At the same time, since the cutting lengths of the two conveyor belts are the same, the timing misalignment does not affect the final cutting size accuracy.

[0080] Through the timing staggered control method, when the cutting length is the same, the conveyor belt is operated in a timing staggered manner, which ensures the cutting accuracy while avoiding cutting conflicts, thereby improving the overall cutting efficiency and productivity of the bidirectional cutting device.

[0081] In summary, the automated control method for tension band production provided by the embodiments of the present application has the following technical effects:

[0082] A bidirectional cutting device for cutting the tension belt is provided, and the bidirectional cutting device includes a first cutting end and a second cutting end, providing a hardware foundation for cutting the tension belt in two directions at the same time, laying a foundation for improving cutting efficiency; the bidirectional cutting device is provided on a double-line conveyor belt, wherein the double-line conveyor belt includes a first conveyor belt and a second conveyor belt, the first cutting end acts on the first conveyor belt, and the second cutting end acts on the second conveyor belt, so as to realize the organic integration of the cutting device and the conveying device, so that the tension belt can continuously and smoothly pass through the cutting area, providing conditions for realizing automated and continuous cutting production. The production parameter information of the preset tension belt is obtained, and the first cutting length and the second cutting length are extracted. If the first cutting length and the second cutting length are not the same, the first conveying parameter and the second conveying parameter of the first conveyor belt and the second conveyor belt are obtained. By obtaining and analyzing the production parameters of the tension belt, the cutting length parameter is extracted to provide data support for subsequent cutting control; at the same time, by judging whether the two cutting lengths are the same, the corresponding conveying parameters are obtained to prepare for the flexible cutting of tension belts of different lengths. The first conveying parameter and the first cutting length, the second conveying parameter and the second cutting length are input into the cutting automatic control model, the first cutting parameter and the second cutting parameter are obtained, and the cutting automatic control model is introduced to obtain the optimal cutting parameter combination, so as to realize the adaptive optimization control of the cutting process and improve the cutting efficiency and precision. The bidirectional cutting device performs cutting control according to the first cutting parameter and the second cutting parameter, and the obtained optimal cutting parameter is applied to the actual cutting control of the bidirectional cutting device, and the cutting action of the first cutting end and the second cutting end is precisely controlled to realize efficient and accurate tension band cutting control.

[0083] Any step of the method described above can be stored as a computer instruction or program in an unlimited computer memory, and can be called and recognized by an unlimited computer processor to implement any method in the embodiments of the present application, without any unnecessary restrictions.

[0084] Furthermore, the first or second mentioned above may not only represent an order relationship, but may also represent a specific concept, and / or refer to multiple elements that can be selected individually or in full. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. An automated control method for tension belt production, characterized in that: The method comprises: A bidirectional cutting device is provided for cutting the tension band, wherein the bidirectional cutting device comprises a first cutting end and a second cutting end; The bidirectional cutting device is arranged on a double-line conveyor belt, wherein the double-line conveyor belt comprises a first conveyor belt and a second conveyor belt, the first cutting end acts on the first conveyor belt, and the second cutting end acts on the second conveyor belt; Obtaining production parameter information of a preset tension belt, extracting a first cutting length and a second cutting length, and if the first cutting length and the second cutting length are different, obtaining first conveying parameters and second conveying parameters of the first conveyor belt and the second conveyor belt, wherein the production parameter information includes material type, width, thickness, production speed, and type and properties of a cutting tool of the tension belt, and the first conveying parameter and the second conveying parameter include conveying speed and acceleration; Inputting the first conveying parameter and the first cutting length, the second conveying parameter and the second cutting length into a cutting automatic control model to obtain a first cutting parameter and a second cutting parameter, wherein the first cutting parameter and the second cutting parameter include a cutting timing, a cutting speed, and a cutting force, and are used to guide the bidirectional cutting device to perform accurate and efficient cutting operations; The bidirectional cutting device performs cutting control according to the first cutting parameter and the second cutting parameter; Wherein, the bidirectional cutting device is arranged in the middle of the first conveyor belt and the second conveyor belt, and the first conveyor belt and the second conveyor belt are conveyed horizontally; Wherein, the first conveyor belt is located above the bidirectional cutting device, and the first cutting end performs an upper cutting operation, and the second conveyor belt is located below the bidirectional cutting device, and the second cutting end performs a lower cutting operation; Inputting the first conveying parameter and the first cutting length, the second conveying parameter and the second cutting length into a cutting automatic control model, wherein the cutting automatic control model includes a bidirectional timing conflict detection network and a cutting quality prediction network to train the cutting automatic control model; Outputting a cutting parameter solution set space according to the bidirectional timing conflict detection network, wherein the cutting parameter solution set space is a solution set space returned as empty by the bidirectional timing conflict detection; An optimization is performed in the cutting parameter solution set space according to the cutting quality prediction network, and a cutting parameter solution obtained by the optimization is output, wherein the cutting parameter solution includes a first cutting parameter and a second cutting parameter.

2. The method according to claim 1, characterized in that According to the bidirectional timing conflict detection network, a cutting parameter solution set space is output, including: Acquire an initial solution, wherein the initial solution includes a first initial cutting parameter and a second initial cutting parameter; Predicting the initial solution according to the bidirectional timing conflict detection network, and outputting a first predicted cutting control timing curve and a second predicted cutting control timing curve; Perform bidirectional timing conflict detection on the first predicted cutting control timing curve and the second predicted cutting control timing curve, obtain the conflict detection of the initial solution and return empty, and store the initial solution in the cutting parameter solution set space.

3. The method according to claim 2, characterized in that Acquiring the bidirectional timing conflict detection network, the method further includes: Collecting multiple groups of sample data sets during the reciprocating cutting process of the bidirectional cutting device; Obtaining bidirectional cutting time loss characteristics according to the multiple groups of sample data sets; Feedback optimization is performed on the bidirectional timing conflict detection network according to the bidirectional cutting time loss characteristics to obtain an optimized bidirectional timing conflict detection network.

4. The method according to claim 3, characterized in that Collecting multiple groups of sample data sets during the reciprocating cutting process of the bidirectional cutting device; Among them, the multiple groups of sample data sets include a first sample data set characterizing that the bidirectional cutting device returns to the initial position after cutting upward based on a preset initial position, a second sample data set characterizing that the bidirectional cutting device returns to the initial position after cutting downward based on the preset initial position, and a third sample data set characterizing that the bidirectional cutting device cuts upward, returns to the initial position, and then cuts downward.

5. The method according to claim 1, characterized in that Optimizing the cutting parameter solution set space according to the cutting quality prediction network, the method further includes: Performing quality prediction on each solution in the cutting parameter solution set space according to the cutting quality prediction network to obtain a predicted quality set; The quality prediction includes predicting the load failure probability, cutting efficiency and production line energy consumption of the bidirectional cutting device corresponding to each solution; The solution with the highest prediction quality in the prediction quality set is taken as the cutting parameter solution obtained by optimization.

6. The method according to claim 3, characterized in that Extracting the first cutting length and the second cutting length, the method further comprises: If the first cutting length and the second cutting length are the same, obtaining a timing misalignment control instruction according to the bidirectional cutting time loss characteristic; According to the first cutting length, obtaining a first conveying control timing curve corresponding to the first conveyor belt; Performing timing misalignment processing on the first conveying control timing curve according to the timing misalignment control instruction, and outputting a second conveying control timing curve; The first conveying belt and the second conveying belt are controlled correspondingly by the first conveying control timing curve and the second conveying control timing curve.

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