Bamboo product flexible production line automatic scheduling method fusing digital twinning

Abstract

The invention belongs to the technical field of digital twinning, and discloses a bamboo product flexible production line automatic scheduling method fusing digital twinning. Comprising the steps that data are collected and cleaned, and accurate bamboo attribute data and corrected cutter physical data are obtained; constructing a bamboo digital twinning body and a cutter digital twinning body; identifying physical attribute change information of the bamboo product based on the bamboo digital twin; collecting production line operation data and deducing a processing path in combination with the physical attribute change information; tool machining data are obtained based on the tool digital twinborn body; based on the machining path and the tool machining data, control resource distribution is conducted on production line equipment, and a machining strategy is output; environment parameters are obtained in real time, a strategy adjustment factor is constructed based on the environment parameters, parameter optimization is conducted on a machining strategy through the strategy adjustment factor, and an optimized machining strategy is generated and sent to a preset production line control terminal; and efficient and automatic scheduling of the bamboo product production line is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital twinning, more particularly, to a flexible production line automation scheduling method for bamboo products based on digital twinning. BACKGROUND

[0002] With the continuous development of intelligent manufacturing technology, digital twinning, as a key supporting technology for the integration of physics and electronic information, has been widely used in various complex industrial manufacturing processes. Especially in the processing scene of bamboo, a natural material, due to its high natural heterogeneity of raw materials, the introduction of digital twinning has become an important direction for the automation control and efficiency optimization of the processing flow. However, there are still some challenges in realizing high-precision production line automation scheduling in the prior art.

[0003] The natural physical properties of bamboo are complex, and there are certain differences in the distribution of density, moisture, texture and damage area in each bamboo. The prior art often ignores the physical property differences of the material itself in the bamboo production line, and may only rely on rough statistical data collected by shooting images or taking materials to process the production line, resulting in deviations in processing path planning and low production precision. For example, the texture distribution trend is not analyzed in the knot scar or crack dense area of bamboo, resulting in burr or fiber tearing during production, and the cutting tool is also subjected to more severe wear. On the other hand, the tool, as the main unit for executing processing tasks in the production line, the changes in data such as wear state, use load and service life are difficult to be monitored in real time, and the prior art lacks performance evaluation and life prediction of the tool during use, resulting in lack of rationality in the allocation of tools in processing tasks, which is prone to cause the tool to break or overwear during processing tasks, resulting in processing failure or excessive error.

[0004] In view of this, the present application provides a flexible production line automation scheduling method for bamboo products based on digital twinning to solve the above problems. SUMMARY

[0005] In order to overcome the above-mentioned defects of the prior art, in order to achieve the above-mentioned purpose, the present application provides the following technical scheme: a flexible production line automation scheduling method for bamboo products based on digital twinning, comprising: S1. Collecting bamboo attribute data and production line tool physical data, and performing data cleaning respectively to obtain accurate bamboo attribute data and corrected tool physical data; S2. Constructing a bamboo digital twin based on the accurate bamboo attribute data; constructing a tool digital twin based on the corrected tool physical data; S3. Identifying physical attribute change information of the bamboo product based on the bamboo digital twin; collecting production line operation data and combining the physical attribute change information to derive a processing path; S4. Obtaining tool processing data based on the tool digital twin; performing control resource allocation on the production line equipment based on the processing path and the tool processing data, and outputting a processing strategy; S5. Real-time acquisition of environmental parameters, construction of a strategy adjustment factor based on the environmental parameters, parameter optimization of the processing strategy using the strategy adjustment factor, generation of an optimized processing strategy, and sending to a preset production line control terminal.

[0006] Further, the manner of constructing the bamboo digital twin based on the accurate bamboo attribute data comprises: The accurate bamboo attribute data comprises a bamboo image, texture parameters, contour parameters, and structure data; a bamboo processing coordinate system is constructed based on the structure data and is spatially registered with a preset production line coordinate system; a bamboo texture angle distribution is calculated based on the texture parameters to obtain texture trend data; an abnormal area in the bamboo image is identified, and an abnormal risk parameter is generated in combination with the texture trend data; a bamboo cross-section parameter is calculated based on the contour parameters; the texture trend data, the abnormal risk parameter, the bamboo cross-section parameter, and the accurate bamboo attribute data are encoded into a structure feature vector, and the bamboo digital twin is generated based on the bamboo processing coordinate system and the structure feature vector.

[0007] Further, the manner of constructing the tool digital twin based on the modified tool physical data comprises: Feature extraction is performed on the modified tool physical data to output a tool state feature vector; a wear curve is fitted based on the tool state feature vector; tool life change data is predicted based on the wear curve, and a tool feature set is obtained in combination with the tool state feature vector; a processing scene model is established for the production line tool based on the modified tool physical data, and a tool digital twin is obtained by fusing the tool feature set.

[0008] Further, the manner of identifying the physical attribute change information of the bamboo product based on the bamboo digital twin comprises: A processing path direction is set, and parameter change values of adjacent spatial sub-regions of the bamboo digital twin in the processing path direction are detected; a partition change threshold is set, and the bamboo digital twin is divided into spatial sub-regions, and each type of spatial sub-region is marked with a disturbance type to obtain a set of physical disturbance regions; the set of physical disturbance regions is semantically encoded to output the physical attribute change information.

[0009] Further, the manner of deriving the processing path comprises: The processing path is set according to the physical property change information and the processing path direction; the processing path is divided into path segments according to the disturbance type, including a density mutation segment, a moisture fluctuation segment, a texture change segment and a bamboo damage segment; and the path parameters of each disturbance path segment are adjusted according to the production line operation data; The density mutation segment is configured with a speed correction field, the path running speed is adjusted based on the speed correction field; the time buffer field is set to adjust the running beat of the moisture fluctuation segment, and the path running beat is output; the cutting angle adjustment value is set according to the texture change distribution of the texture change segment, the path physical direction is corrected by using the cutting angle adjustment value to obtain a corrected path physical direction; the path offset is constructed to avoid the malignant damage area in the bamboo damage segment, and the path obstacle avoidance information is output; and the adjusted path running speed, the path running beat, the corrected path physical direction and the path obstacle avoidance information are connected to obtain the processing path.

[0010] Further, the way of obtaining the tool machining data based on the tool digital twin includes: The machining scene of the tool digital twin is modeled as an index to search historical corresponding scene tool machining information; the tool feature set fitting state change data is extracted; and the tool machining data is obtained by combining the historical corresponding scene tool machining information and the state change data.

[0011] Further, the way of allocating control resources to the production line equipment includes: The corresponding functional tool is selected according to the path segment type of the processing path to obtain a candidate tool combination; the corresponding data in the tool machining data is extracted for each candidate tool and performance evaluation is carried out to obtain a machining evaluation index; the machining execution requirement and the equipment load capacity value of the production line equipment are obtained, and based on the machining execution requirement and the equipment load capacity value, the machining environment of each candidate tool is simulated based on the processing path to output candidate tool simulation data; the path segment-tool coupling matching value of the corresponding candidate tool is calculated based on the candidate tool simulation data, the candidate tool with the path segment-tool coupling matching value and the machining evaluation index greater than a preset target threshold is selected as a selectable tool, and the selectable tool is allocated to the corresponding path segment; and the control resource allocation process is coded as a path structure, that is, a machining strategy.

[0012] Further, the way of constructing a strategy adjustment factor based on environmental parameters includes: The device state change parameter is obtained, the environment-device state quantization matrix is constructed based on the environmental parameters and the device state change parameter; the environment-sensitive path parameters of the corresponding path segment are identified by fitting analysis of the environment-device state quantization matrix and the path parameters of each path segment in the processing path; the corresponding action instruction is designed based on the environment-sensitive path parameters to adjust the device, and the strategy adjustment factor is output.

[0013] Further, the parameter optimization method of the processing strategy by using the strategy adjustment factor comprises: The corresponding execution parameters in the processing strategy are weighted by using the strategy adjustment factor to obtain a weighted processing strategy; the weighted processing strategy is algorithmically optimized and effect evaluated; if the expected effect target is reached, the optimized processing strategy is output, otherwise the iteration is repeated until the expected effect target is reached.

[0014] A bamboo product flexible production line automation scheduling system fusing digital twin is used to realize a bamboo product flexible production line automation scheduling method fusing digital twin, and is characterized by comprising: A data acquisition module is used to acquire bamboo attribute data and production line cutter physical data, and perform data cleaning respectively to obtain accurate bamboo attribute data and corrected cutter physical data; A twin body construction module is used to construct a bamboo digital twin based on the accurate bamboo attribute data, and construct a cutter digital twin based on the corrected cutter physical data; A path generation module is used to identify physical attribute change information of the bamboo product based on the bamboo digital twin, acquire production line operation data, and deduce a processing path in combination with the physical attribute change information; A resource allocation module is used to acquire cutter processing data based on the cutter digital twin, control resource allocation of the production line equipment based on the processing path and the cutter processing data, and output a processing strategy; A strategy optimization module is used to acquire environmental parameters in real time, construct a strategy adjustment factor based on the environmental parameters, optimize parameters of the processing strategy by using the strategy adjustment factor, generate an optimized processing strategy, and send the optimized processing strategy to a preset production line control terminal; the modules are connected through wired and / or wireless modes.

[0015] The technical effect and advantages of the bamboo product flexible production line automation scheduling method fusing digital twin are as follows: The dynamic control and efficient optimization of the bamboo processing process are realized based on the construction of the dual digital twin of the bamboo and the tool, and the processing precision and stability are significantly improved; the local disturbance characteristics of the physical properties of the bamboo are perceived based on the bamboo digital twin, and the control resource allocation and path parameter adjustment are performed in combination with the tool state evolution trend information, thereby reducing the error and damage risk caused by material defects or tool wear; the processing path can adjust the running speed, beat and angle in real time according to factors such as density, moisture, texture and damage, so as to ensure the cutting stability and product quality; meanwhile, the generated strategy has the environmental parameter self-adaptive capability, and can automatically optimize the key process parameters under the condition of external changes such as temperature and humidity fluctuations, thereby enhancing the robustness and adaptability of the manufacturing process; through the whole-process closed-loop control and feedback optimization, the continuous iteration and performance improvement of the processing strategy are realized, thereby reducing the manual intervention and improving the production line automation scheduling level and resource utilization efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 It is a schematic diagram of a flexible production line automation scheduling method for bamboo products fusing digital twin of the present application. Figure 2 It is a schematic diagram of a flexible production line automation scheduling system for bamboo products fusing digital twin of the present application. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the present application. Embodiment 1

[0018] Please refer to Figure 1 The flexible production line automation scheduling method for bamboo products fusing digital twin described in this embodiment includes: S1. Collecting bamboo attribute data and production line tool physical data, and respectively performing data cleaning to obtain accurate bamboo attribute data and corrected tool physical data; S2. Constructing a bamboo digital twin based on the accurate bamboo attribute data; and constructing a tool digital twin based on the corrected tool physical data; S3. Identifying physical property change information of the bamboo product based on the bamboo digital twin; collecting production line operation data and deducing a processing path in combination with the physical property change information; S4. Obtaining tool processing data based on the tool digital twin; performing control resource allocation on the production line equipment based on the processing path and the tool processing data, and outputting a processing strategy; S5. Real-time acquisition of environmental parameters, construction of strategy adjustment factors based on environmental parameters, parameter optimization of processing strategies using strategy adjustment factors, generation of optimized processing strategies, and sending to a preset production line control terminal.

[0019] The image type data of the bamboo is obtained by arranging high-precision cameras in the production line, and the attribute data of the bamboo is obtained by querying existing data and material taking records, such as density distribution information, moisture distribution information, and abnormal area distribution information of knots, scars, or cracks; the cutter physical data includes cutter number, model, use time, size, sharpness, and other attribute data related to the cutter used for cutting the bamboo in the production line; wherein the data cleaning includes the processes of standardization, missing value filling, and data denoising, to obtain accurate bamboo attribute data and corrected cutter physical data with higher data quality.

[0020] The method for constructing the digital twin of the bamboo based on the accurate bamboo attribute data comprises: The accurate bamboo attribute data includes bamboo image, texture parameter, contour parameter, and structure data, wherein the accurate bamboo attribute data is data after data cleaning; the bamboo image refers to the surface image of the bamboo; the texture parameter is used to reflect the information of the processed bamboo surface texture direction and texture gradient; the contour parameter includes the edge line data of the bamboo obtained based on edge detection and other related data; the structure data refers to the distribution of regions such as density and moisture on the bamboo, and the overall size structure of the bamboo.

[0021] The bamboo processing coordinate system is constructed based on the structure data and is spatially registered with the preset production line coordinate system, wherein the bamboo processing coordinate system constructs coordinate axes based on the largest bamboo in size, to ensure that it can contain any bamboo, and uses the spatial positions of various devices in the production line as reference points to spatially register the bamboo processing coordinate system with the production line coordinate system using a three-point attitude solution algorithm, to achieve spatial consistency registration of the bamboo and the production line; the texture angle distribution of the bamboo is calculated based on the texture parameter to obtain texture trend data, wherein the calculation of the texture angle distribution of the bamboo refers to obtaining the texture direction angle of a local area by constructing a continuous sliding window to traverse the surface of the bamboo, and statistically fitting the texture direction angles of all regions to construct a texture direction atlas, which is used to describe the main texture trend morphology of the bamboo surface, i.e., the texture trend data.

[0022] An abnormal area in the bamboo image is identified, and an abnormal risk parameter is generated by combining texture trend data. In this embodiment, the abnormal area refers to areas such as knots, scars, insect eyes, cracks, and decay on the surface of the bamboo. Since the texture near the abnormal area is chaotic, the abnormal area is projected into the texture confusion area of the texture direction map, and the abnormal level of the corresponding abnormal area is identified by querying historical processing cases, that is, the abnormal risk parameter. Based on the contour parameter, a bamboo cross-section parameter is calculated, which includes cross-sectional area, thickness, circumference, and curvature data. The contour parameter is used as a basis to draw a bamboo cross-section structure diagram, and the above-mentioned bamboo cross-section parameters are extracted from the diagram.

[0023] The texture trend data, abnormal risk parameter, bamboo cross-section parameter, and accurate bamboo attribute data are encoded into a structure feature vector. Based on the bamboo processing coordinate system and the structure feature vector, a bamboo digital twin is generated. In this embodiment, the accurate bamboo attribute data is used as a modeling basis, and a virtual three-dimensional geometric model of the bamboo is constructed in combination with the bamboo processing coordinate system. The other data in the structure feature vector except the accurate bamboo attribute data are mapped into the three-dimensional geometric model to obtain a bamboo digital twin that can change in linkage with the subsequent processing path.

[0024] The method for constructing a tool digital twin based on the modified tool physical data includes: Feature extraction is performed on the modified tool physical data to output a tool state feature vector, which includes tool number, total processing time, and load degree, and other data that can reflect the comprehensive use state of the tool. Based on the tool state feature vector, a wear curve is fitted. In this embodiment, the tool state feature vector is used as input data, and an exponential decay function is used to fit the state change of the tool to construct a wear curve. The wear curve is used to reflect the performance degradation of the tool.

[0025] Based on the wear curve, tool life change data is predicted, and a tool feature set is obtained in combination with the tool state feature vector. Trend analysis is performed based on the value of the wear curve to determine the current life stage of the tool. In this embodiment, the life stage is divided into three types: initial stable stage, linear degradation stage, and nonlinear mutation stage, and threshold values are set for each type. A performance change model of the tool is constructed by querying the data of the corresponding tool type. The performance change model is used to predict the tool life change data. The tool life change data and the tool state feature vector are spliced to obtain the tool feature, and the tool features of all tools are integrated to obtain the tool feature set.

[0026] Based on the corrected tool physical data, a machining scene model of the production line tool is established, and a tool digital twin is obtained by fusing the tool feature set, wherein the machining scene modeling refers to constructing a structured expression model for describing the process of executing a machining task by using the production line tool, which includes labels such as machining target parameters and material characteristics, and a mapping relationship between the labels and tool machining effects is established; wherein the tool machining effects include parameters such as error, wear rate and cutting surface fineness; the tool feature set is mapped into the established machining scene model to obtain the tool digital twin.

[0027] The way of identifying the physical attribute change information of the bamboo product based on the bamboo digital twin includes: A machining path direction is set, and the parameter change value of the adjacent space sub-area of the bamboo digital twin in the machining path direction is detected, wherein the machining path direction refers to the path advancing direction for sequentially executing each processing of the production line, for example, a certain surface area of a bamboo needs to be slotted once, and each bamboo joint area is traversed from the left end to the right until the target area is reached, and then the tool is pushed along the traversal direction, wherein the machining path direction is from the left end to the target area; each bamboo joint is regarded as a space sub-area, and the parameter change value between different bamboo joints is obtained, wherein the parameter change value includes data such as density gradient difference, water content change, damage structure difference and texture offset.

[0028] A partition change threshold is set, the bamboo digital twin is divided into space sub-areas based on the parameter change value and the partition change threshold, and each type of space sub-area is labeled with a disturbance type to obtain a set of physical disturbance areas, the partition change threshold including information such as density, water content, damage area and texture angle is set, the parameter change value is compared with the partition change threshold, and the disturbance type label of the corresponding space sub-area is set, including density mutation, water content fluctuation, texture change and damage disturbance.

[0029] The set of physical disturbance areas is semantically encoded, and the physical attribute change information is output, in this embodiment, the set of physical disturbance areas is generated into a structured data item, and the data item includes fields related to parameter changes such as disturbance type and disturbance position, which is the physical attribute change information, used to reflect the change of the related physical parameters of the bamboo and the disturbance type corresponding to the change reason.

[0030] The way of deducing the machining path includes: The physical attribute change information and the machining path direction are combined to set the to-be-machined path, in this embodiment, the path trajectory is constructed with the machining path direction as the main axis, and it is ensured that the areas passed by the path trajectory are safe areas or physical disturbance areas with small parameter change values, to obtain the to-be-machined path; wherein each bamboo corresponds to a to-be-machined path, and the subsequently deduced machining path also corresponds to the bamboo one by one.

[0031] The path segments of the to-be-processed path are divided based on the disturbance types, including a density mutation segment, a moisture fluctuation segment, a texture change segment, and a bamboo damage segment, a mapping between the path segments and the disturbance types is established for path segment division, a path segment set containing path segment numbers and disturbance type labels is generated, path parameter adjustment is performed on each disturbed path segment in combination with production line operation data, and corresponding strategies are adopted for path parameter adjustment for different disturbed path segments existing in each to-be-processed path.

[0032] The density mutation segment is configured with a speed correction field, and the path operation speed is adjusted based on the speed correction field, wherein the density gradient change value of the density mutation segment is substituted into an exponential decay function to obtain the speed correction field; the original path operation speed is weighted by using the speed correction field to obtain the adjusted operation speed, so as to ensure that the production line equipment will not be cracked due to large density difference and fast speed when processing the density mutation area, or other equipment wear and tear will not be abnormal.

[0033] A time buffer field is set to adjust the operation cycle of the moisture fluctuation segment, and the path operation cycle is output, the moisture fluctuation value is obtained by subtracting the maximum value from the minimum value of the moisture content in the moisture fluctuation segment, an environmental response compensation coefficient is obtained by querying existing data, the product of the moisture fluctuation value and the environmental response compensation coefficient is taken as the cycle buffer time, and the value is taken as the time buffer field to control the buffer time before the equipment processing the moisture fluctuation segment is started, so as to realize the operation cycle delay and reduce the influence of moisture fluctuation on, for example, cutting resistance change and thermal diffusion effect instability.

[0034] The cutting angle adjustment value is set based on the texture change distribution of the texture change segment, the cutting angle adjustment value is used to correct the path physical direction to obtain the corrected path physical direction, the texture direction vector sequence of the region corresponding to the texture change segment is extracted by using a preset fixed step length, the original cutting angle is compared with the texture direction to obtain an angle deviation sequence, and the sequence is the path physical direction; a dynamically adjustable cutting angle adjustment value is set, the value is used to correct the angle deviation of the path physical direction based on specific working conditions, the cutting direction is consistent with the texture direction, and the risk of fiber tearing caused by reverse cutting is reduced.

[0035] The malignant damage area in the bamboo damage section is avoided by constructing a path offset, path obstacle avoidance information is output, in the embodiment, specific coordinates of malignant knots or cracks are determined to identify the malignant damage area, the Euclidean distance between the original processing path and the malignant damage area is calculated as the path offset, the path offset is used to adjust the processing path trajectory and mark the obstacle avoidance area therein, path obstacle avoidance information including path segment number and displacement offset information corresponding to the obstacle avoidance area is obtained; the processing path is obtained by connecting the adjusted path running speed, path running beat, corrected path physical direction and path obstacle avoidance information to the processing path, in the embodiment, four types of adjustment fields are mapped to the processing path to adjust the corresponding parameters, and the processing path corresponding to each bamboo is obtained.

[0036] The manner of obtaining the tool machining data based on the tool digital twin includes: The machining scene of the tool digital twin is modeled as an index to search for historical corresponding scene tool machining information, wherein the machining task corresponding to the current tool digital twin is taken as a scene index to search for tool information entries of similar machining tasks in the historical record, including tool machining information such as wear rate, machining error and thermal expansion coefficient.

[0037] State change data is fitted by extracting a tool feature set, wherein the state change data refers to a change process of a tool use state constructed based on tool life change data in the tool feature set and related data reflecting the comprehensive use state of the tool, and the state change data also includes a prediction of a future use state trend; the tool machining data is obtained by combining the historical corresponding scene tool machining information and the state change data, and the tool machining data includes information such as processable task type information corresponding to the tool model, an adaptive machining speed range, a maximum machining path length and a recommended machining task.

[0038] The manner of performing control resource allocation on the production line equipment includes: The corresponding functional tool is selected based on the path segment type of the machining path to obtain a candidate tool combination, the tool entries with corresponding task execution functions in the preset tool database are searched by taking the density mutation segment, the moisture fluctuation segment, the texture change segment and the bamboo damage segment as screening conditions, and the tool is matched with the path segment.

[0039] The corresponding data in the tool machining data is extracted for each candidate tool and performance evaluation is performed to obtain a machining evaluation index, in the embodiment, the corresponding data of the candidate tool in the tool machining data is extracted, the corresponding evaluation dimensions are designed according to the requirements of the current machining task, such as error mean, remaining life, machining stability and historical machining effect; the performance score function is constructed by using the weighted scoring method, the corresponding evaluation dimension data measured in the experiment is quantified and weighted based on the real working condition, and the output is the machining evaluation index.

[0040] The machining execution requirements and equipment load capacity values of the production line equipment are acquired, and based on the machining path, the machining environment of each candidate tool is simulated based on the machining execution requirements and equipment load capacity values, and candidate tool simulation data is output, wherein the machining execution requirements refer to limitations for machining tasks such as task cycle running beat, allowed vibration amplitude range, and production line running speed range; the equipment load capacity values refer to the maximum theoretical values reflecting the load of the production line equipment, such as tool maximum stress, tool running speed upper limit, equipment response delay upper limit, and equipment temperature upper limit; in this embodiment, each candidate tool is simulated in combination with the tool digital twin and the simulated environment of the entire production line for a certain machining task running scenario, and the machining process of the selected candidate tool is deduced; the output candidate tool simulation data includes information reflecting the simulation effect such as machining error simulation value, residual life simulation value, and machining task completion degree.

[0041] The path-segment-tool coupling matching value of the corresponding candidate tool is calculated based on the candidate tool simulation data, the candidate tool with a path-segment-tool coupling matching value and a machining evaluation index greater than a preset target threshold is selected as a selectable tool, and the selectable tool is assigned to the corresponding path segment; the path-segment-tool coupling matching value is obtained by quantifying and weighted summing each dimension data in the candidate tool simulation data, wherein the weight is dynamically adjustable based on the specific working condition; the assignment of the tool is realized by screening the selectable tool and matching the selectable tool with the corresponding suitable path segment.

[0042] The control resource allocation process is encoded as a path structure, that is, a machining strategy. In the allocation process of the control resources of the production line, the tool is the main body that executes the machining task. The process of obtaining suitable selectable tools and assigning them to the corresponding path segments through performance evaluation and environment simulation is the control resource allocation process of the tool. In the production line, other equipment such as fixture equipment and machine tools, etc. obtains the optimal corresponding equipment running parameters by comparing with historical efficient running records to realize resource allocation. The control resource allocation process of the complete production line is encoded and packaged as a structure, and the system can directly call the structure to realize the reading of the machining strategy.

[0043] The strategy adjustment factor is constructed based on the environment parameters in the following ways: The equipment state change parameters are acquired, and an environment-equipment state quantization matrix is constructed based on the environment parameters and the equipment state change parameters; the environment parameters include data such as temperature, humidity, and air pressure of the space where the production line is located; the equipment state parameters include data such as spindle temperature change rate, vibration amplitude, and cooling time of the complete production line, which reflect the overall state change of the production line; the environment-equipment state quantization matrix is obtained by normalizing all parameters and arranging them according to the corresponding dimensions.

[0044] The fitting analysis is performed in combination with the environment-equipment state quantization matrix and the path parameters of each path segment in the machining path, and the environment-sensitive path parameters corresponding to the path segments are identified, wherein the path parameters refer to the path running speed and path running beat adjusted when the machining path is derived; in this embodiment, the nonlinear regression fitting method is used to perform fitting analysis on the path parameters and the environment-equipment state quantization matrix, and when a certain path parameter has a high correlation with a certain parameter or a certain type of parameter of the environment-equipment state quantization matrix, it is determined as an environment-sensitive path parameter.

[0045] The corresponding action instructions are designed based on the environment-sensitive path parameters to adjust the equipment, and the strategy adjustment factor is output, wherein the corresponding control actions are formulated for the identified environment-sensitive path parameters, such as the action instructions of reducing the spindle speed, prolonging the buffer time, or adjusting the cutting direction angle deviation value, etc., and the production line adjusts the equipment by identifying the action instructions, adjusts by constructing a simulated environment, and quantizes the adjustment process, for example, the change amount of the speed is taken as the strategy adjustment factor of the spindle speed.

[0046] The parameter optimization mode of the machining strategy by using the strategy adjustment factor includes: The corresponding execution parameters in the machining strategy are weighted by using the strategy adjustment factor to obtain a weighted machining strategy, a new control field of corresponding dimension is generated by multiplying and weighting each strategy adjustment factor and the corresponding parameter in the machining strategy, the original machining strategy is updated based on the new control field to obtain the weighted machining strategy; the weighted machining strategy is optimized by algorithm and the effect is evaluated, in this embodiment, the machining effect is evaluated by simulating the machining scene and applying the weighted machining strategy, and the evaluation basis includes the machining time, path offset, and control resource utilization efficiency; if the expected effect target is achieved, the optimized machining strategy is output, otherwise the iteration is repeated until the expected effect target is achieved; it should be noted that if the expected effect target is not achieved, the execution parameters in the machining strategy are optimized by using the optimization algorithm, the optimal solution is searched by repeating the iteration, and finally the machining strategy that achieves the expected effect target is taken as the optimized machining strategy.

[0047] The embodiment realizes dynamic control and efficient optimization of the bamboo processing process based on the construction of the dual digital twin of bamboo and a tool, significantly improving the processing precision and stability; based on the digital twin of bamboo, the local disturbance characteristics of the physical properties of the bamboo are perceived, and the control resource allocation and path parameter adjustment are performed in combination with the tool state evolution trend information, thereby reducing the error and damage risk caused by material defects or tool wear; the processing path can adjust the running speed, beat and angle in real time according to factors such as density, moisture, texture and damage, to ensure the cutting stability and product quality; at the same time, the generated strategy has environmental parameter self-adaptation capability, and can automatically optimize the key process parameters under external changes such as temperature and humidity fluctuations, thereby enhancing the robustness and adaptability of the manufacturing process; through full-process closed-loop control and feedback optimization, the continuous iteration and performance improvement of the processing strategy are realized, while reducing manual intervention, the production line automation scheduling level and resource utilization efficiency are improved. Embodiment 2

[0048] Please refer to Figure 2 The embodiment does not describe some parts in detail, see the description of embodiment 1, and provides a flexible production line automation scheduling system for bamboo products based on digital twin, comprising: A data acquisition module is used to acquire bamboo attribute data and production line tool physical data, and to perform data cleaning respectively to obtain accurate bamboo attribute data and corrected tool physical data; A twin body construction module is used to construct a bamboo digital twin based on accurate bamboo attribute data; and to construct a tool digital twin based on corrected tool physical data; A path generation module is used to identify physical property change information of the bamboo product based on the bamboo digital twin; to acquire production line operation data and deduce a processing path in combination with the physical property change information; A resource allocation module is used to acquire tool processing data based on the tool digital twin; to perform control resource allocation on the production line equipment based on the processing path and the tool processing data, and to output a processing strategy; A strategy optimization module is used to acquire environmental parameters in real time, to construct a strategy adjustment factor based on the environmental parameters, to perform parameter optimization on the processing strategy by using the strategy adjustment factor, to generate an optimized processing strategy, and to send the optimized processing strategy to a preset production line control terminal; the modules are connected by wired and / or wireless means.

[0049] The above only describes the preferred embodiments of the present application and is not used to limit the present application, although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or make equivalent replacement of some technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0050] It should be noted that, in the present document, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises... a" does not, without more constraints, exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0051] In the description of the present application, it should be understood that the terms "first", "second", etc. are used to distinguish descriptions and cannot be understood as indicating or implying relative importance.

[0052] In the description of the present application, unless otherwise specified, the meaning of "a plurality of" is two or more.

[0053] In the description of the present application, the meaning of "several" is one or more, and the meaning of "a large number" is two or more.

[0054] In the description of the present application, the description referring to the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0055] For the formulas in the present specification, the values are calculated by de-dimensioning, the formulas are obtained by collecting a large amount of data to simulate the most recent real situation, and the preset parameters and threshold values in the formulas are set by a person skilled in the art according to the actual situation.

[0056] Although the embodiments of the present application have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, replacements and variations can be made to the embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the claims and their equivalents.

Claims

1. An automated scheduling method for a flexible bamboo product production line integrating digital twins, characterized in that: include: S1. Collect bamboo property data and production line tool physical data, and perform data cleaning to obtain accurate bamboo property data and corrected tool physical data; S2. Construct a digital twin of bamboo based on accurate bamboo property data; construct a digital twin of the tool based on the corrected tool physical data; S3. Identify changes in the physical properties of bamboo products based on the bamboo digital twin; collect production line operation data and derive processing paths based on this physical property change information; S4. Acquire tool processing data based on the tool digital twin; allocate control resources to production line equipment based on the processing path and tool processing data, and output processing strategies; S5. Acquire environmental parameters in real time, construct strategy adjustment factors based on the environmental parameters, use the strategy adjustment factors to optimize the parameters of the processing strategy, generate an optimized processing strategy, and send it to the preset production line control terminal.

2. The automated scheduling method for a flexible bamboo product production line integrating digital twins according to claim 1 is characterized in that: The method of constructing a bamboo digital twin based on accurate bamboo property data includes: Accurate bamboo property data includes bamboo images, texture parameters, contour parameters and structural data; a bamboo processing coordinate system is constructed based on the structural data and spatially aligned with the preset production line coordinate system; the bamboo texture angle distribution is calculated based on the texture parameters to obtain texture trend data; abnormal areas in bamboo images are identified, and abnormal risk parameters are generated based on the texture trend data; bamboo cross-sectional parameters are calculated based on the contour parameters; texture trend data, abnormal risk parameters, bamboo cross-sectional parameters and accurate bamboo property data are encoded into structural feature vectors, and a bamboo digital twin is generated based on the bamboo processing coordinate system and the structural feature vectors.

3. The automated scheduling method for a flexible bamboo product production line integrating digital twins according to claim 2 is characterized in that: The method of constructing a tool digital twin based on the modified tool physical data includes: Feature extraction is performed on the corrected tool physical data to output the tool state feature vector; the wear curve is fitted based on the tool state feature vector; the tool life change data is predicted based on the wear curve, and the tool feature set is obtained by combining the tool state feature vector; the processing scenario of the production line tool is modeled based on the corrected tool physical data, and the tool feature set is integrated to obtain the tool digital twin.

4. The automated scheduling method for a flexible bamboo product production line integrating digital twins according to claim 3 is characterized in that: The method of identifying the physical property change information of bamboo products based on the bamboo digital twin includes: The processing path direction is set, and the parameter change values ​​of adjacent spatial sub-regions of the bamboo digital twin in the processing path direction are detected; the partition change threshold is set and the bamboo digital twin is divided into spatial sub-regions, and the disturbance type is marked for each type of spatial sub-region to obtain a set of physical disturbance areas; the set of physical disturbance areas is semantically encoded, and the physical property change information is output.

5. The automated scheduling method for a bamboo product flexible production line integrating digital twins according to claim 4 is characterized in that: The method of deriving the processing path includes: The processing path to be processed is set based on the physical property change information and the processing path direction. The processing path is divided into segments based on the disturbance type, including density mutation segment, moisture fluctuation segment, texture change segment, and bamboo damage segment. The path parameters of each disturbance path segment are adjusted based on the production line operation data. A rate correction field is configured for the density mutation segment, and the path running speed is adjusted based on the rate correction field; a time buffer field is set to adjust the running rhythm of the moisture fluctuation segment, and the path running rhythm is output; a cutting angle adjustment value is set based on the texture change distribution of the texture change segment, and the physical direction of the path is corrected using the cutting angle adjustment value to obtain the corrected path physical direction; a path offset is constructed to avoid the severely damaged area in the bamboo damage segment, and the path obstacle avoidance information is output; the adjusted path running speed, path running rhythm, corrected path physical direction and path obstacle avoidance information are connected to the path to be processed to obtain the processing path.

6. The automated scheduling method for a bamboo product flexible production line integrating digital twins according to claim 5 is characterized in that: The method of obtaining tool processing data based on the tool digital twin includes: The processing scenario modeling of the tool digital twin is used as an index to search for historical tool processing information corresponding to the scenario; the tool feature set is extracted to fit the state change data; and the tool processing data is obtained by combining the historical tool processing information corresponding to the scenario and the state change data.

7. The automated scheduling method for a bamboo product flexible production line integrating digital twins according to claim 6 is characterized in that: The method of allocating control resources to production line equipment includes: Based on the path segment type of the machining path, corresponding functional tools are selected to obtain a candidate tool combination; for each group of candidate tools, corresponding data in the tool machining data are extracted and performance evaluation is performed to obtain machining evaluation indicators; the machining execution requirements and equipment load capacity values ​​of the production line equipment are obtained, and based on the machining path, the machining environment of each group of candidate tools is simulated based on the machining execution requirements and equipment load capacity values, and candidate tool simulation data is output; based on the candidate tool simulation data, the path segment-tool coupling matching value of the corresponding candidate tool is calculated, and the candidate tools whose path segment-tool coupling matching value and machining evaluation index are both greater than the preset target threshold are selected as optional tools, and the optional tools are allocated to the corresponding path segments; the control resource allocation process is encoded into a path structure, which is the machining strategy.

8. The automated scheduling method for a flexible bamboo product production line integrating digital twins according to claim 7 is characterized in that: The method of constructing the policy adjustment factor based on the environmental parameters includes: Obtain the equipment state change parameters, and construct an environment-equipment state quantization matrix based on the environmental parameters and the equipment state change parameters; perform fitting analysis based on the environment-equipment state quantization matrix and the path parameters of each path segment in the processing path, and identify the environment-sensitive path parameters of the corresponding path segment; design corresponding action instructions based on the environment-sensitive path parameters to adjust the equipment, and output the strategy adjustment factor.

9. The automated scheduling method for a bamboo product flexible production line integrating digital twins according to claim 8 is characterized in that: The method of optimizing the parameters of the processing strategy by using the strategy adjustment factor includes: The strategy adjustment factor is used to weight the corresponding execution parameters in the processing strategy to obtain a weighted processing strategy; the weighted processing strategy is optimized and its effect is evaluated; if the expected effect target is achieved, the optimized processing strategy is output; otherwise, the iteration is repeated until the expected effect target is achieved.

10. An automated scheduling system for a flexible bamboo product production line integrated with digital twins, which is used to implement an automated scheduling method for a flexible bamboo product production line integrated with digital twins as claimed in any one of claims 1 to 9, characterized in that: include: The data acquisition module is used to collect bamboo material attribute data and production line tool physical data, and perform data cleaning respectively to obtain accurate bamboo material attribute data and corrected tool physical data; Twin construction module, used to construct bamboo digital twins based on accurate bamboo property data; construct tool digital twins based on modified tool physical data; The path generation module is used to identify changes in the physical properties of bamboo products based on the bamboo digital twin; collect production line operation data and derive the processing path based on the physical property change information; The resource allocation module is used to obtain tool processing data based on the tool digital twin; control resource allocation for production line equipment based on the processing path and tool processing data, and output processing strategies; The strategy optimization module is used to obtain environmental parameters in real time, construct strategy adjustment factors based on the environmental parameters, use the strategy adjustment factors to optimize the parameters of the processing strategy, generate the optimized processing strategy, and send it to the preset production line control terminal; each module is connected by wired and / or wireless means.

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