Material flow optimization management system and method based on wood and bamboo industry circular economy model

Abstract

The invention relates to the field of wood and bamboo industry management, in particular to a material flow optimization management system based on a wood and bamboo industry circular economy model, which comprises a data acquisition module, a data processing module, a material flow accounting module, a circular path optimization module and an evaluation and feedback module, and a material flow monitoring, calculating and optimizing system of the whole chain of the bamboo industry is established. The data acquisition module realizes comprehensive collection of material flow data in each link of the bamboo industry chain, can transmit data in the production process in real time in combination with environmental parameters, and provides comprehensive original data. The data processing module ensures the consistency and integrity of the data by normalizing and abnormities cleaning the material flow data; the material flow accounting module is used for calculating raw material input, product output and waste loss conditions in the bamboo industry and evaluating the utilization rate and conversion rate of materials; the path optimization module realizes optimal recovery path selection through an algorithm; the evaluation and feedback module further dynamically adjusts system parameters through a feedback mechanism.

Description

Technical Field

[0001] The invention relates to the field of wood and bamboo industry management, and in particular to a material flow optimization management system and method based on a circular economy model of the wood and bamboo industry. Background Art

[0002] The production chain of the bamboo industry includes raw material collection, product manufacturing, waste treatment and recycling of recyclable resources. As a renewable resource, bamboo's rapid growth characteristics and efficient carbon capture ability make it an important part of the modern environmental protection industry. However, the production and recycling process of the bamboo industry faces significant material flow management challenges, which affects its efficiency in the circular economy.

[0003] The traditional bamboo industry lacks systematic management in the use of raw materials and waste disposal, and usually relies on manual monitoring and empirical judgment. The lack of systematization of material flow management and insufficient path optimization leads to resource waste, low efficiency, high recycling costs, and ultimately increases the ecological and economic burden of the industrial chain. In addition, due to the lack of dynamic optimization capabilities, the existing circular economy model of the bamboo industry is difficult to respond quickly to fluctuations in the production process, resulting in irrational resource allocation, which further affects the environmental and economic benefits of the bamboo industry.

[0004] Existing bamboo industry production and recycling systems usually lack systematic material flow monitoring equipment. Traditional methods often rely on manual monitoring and empirical speculation, which cannot achieve accurate statistics of raw materials, production output and waste in the bamboo industry chain, resulting in low resource utilization efficiency and difficulty in achieving transparency in the production process. Especially in the data collection process, existing technologies rely on a single type of data source (such as only monitoring raw materials or output), and cannot effectively cover the complete material flow information of the production chain. The lack of real-time data monitoring means makes it impossible to accurately grasp the resource utilization of the bamboo industry, and it is difficult to provide the necessary data support to optimize resource allocation and recycling.

[0005] The resource recycling chain of the bamboo industry is long and complex, and the recycling path involves multiple nodes such as waste collection points, processing plants, and reuse points. However, the existing technology's optimization method for recycling paths is not accurate enough, and often fails to take into account multiple factors such as path cost and recycling difficulty, resulting in a large degree of randomness in path selection and an inability to effectively control costs during transportation and recycling. This not only increases the logistics costs of the bamboo industry, but also leads to low efficiency in material recycling, and cannot guarantee the economy and sustainability of the industrial chain. Existing technologies usually rely on static path planning and fail to combine real-time feedback data for path optimization, making it difficult to achieve dynamic adjustment in actual applications, resulting in serious waste of resources.

[0006] During the production and resource recycling process of the bamboo industry, material flow and recycling demand will fluctuate with changes in market and production demand. However, in the existing technology, the material flow management and path optimization of the bamboo industry lack an adaptive dynamic adjustment mechanism, and usually use fixed parameters and paths, which makes it difficult to respond to changes in real time. Existing fixed algorithms are often unable to adjust flexibly under different conditions, resulting in low resource utilization efficiency, low matching between material flow and recycling demand, unreasonable resource allocation, and difficulty in achieving the ideal effect of a circular economy. Due to the lack of dynamic adaptive capabilities of the system, the current resource recovery model of the bamboo industry is difficult to optimize in real time according to production conditions and market demand changes, and it is difficult to ensure the continuous improvement of resource circulation and economic benefits. Summary of the invention

[0007] The purpose of the present invention is to provide a material flow optimization management system and method based on the circular economy model of the wood and bamboo industry to solve the technical problems raised in the above background technology.

[0008] Based on the above ideas, the present invention provides the following technical solutions:

[0009] A material flow optimization management system based on the circular economy model of wood and bamboo industry, comprising: a data acquisition module, a data processing module, a material flow accounting module, a circular path optimization module and an evaluation and feedback module;

[0010] The data acquisition module is used to collect material flow data of each link in the bamboo industry chain; the data acquisition module includes a material flow sensor, an RFID identifier, a temperature and humidity sensor, an industrial camera, an Internet of Things gateway and an industrial control computer, and can monitor and transmit data in real time;

[0011] The data processing module is electrically connected to the data acquisition module, and is used to normalize, clean outliers and classify the material flow data; the data processing module stores and classifies the cleaned data according to time, material type and production stage through the data processing server, and provides standardized data input;

[0012] The material flow accounting module is electrically connected to the data processing module, and is used to analyze and calculate the input, output and balance state of each material in the bamboo industry based on the material flow accounting algorithm to obtain the material flow conversion efficiency and consumption; the material flow accounting module performs data processing through the central processing unit and the computing unit, and transmits the accounting results to the path optimization module;

[0013] The circulation path optimization module is electrically connected to the material flow accounting module, and is used to determine the optimal path for material recycling through a path optimization algorithm based on the conversion efficiency and resource distribution data output by the material flow accounting module, so as to reduce the recycling transportation cost; the circulation path optimization module realizes dynamic optimization of different recycling paths through a path calculation processor and a path selection controller, and transmits the optimization results to the evaluation and feedback module;

[0014] The evaluation and feedback module is used to comprehensively evaluate the economic and ecological benefits of the system based on the path optimization results; the evaluation and feedback module adjusts the parameters in the path optimization and material flow accounting modules through the feedback controller to achieve dynamic regulation of material flow.

[0015] Through the combination of data acquisition module, data processing module, material flow accounting module, recycling path optimization module and evaluation and feedback module, a material flow monitoring, calculation and optimization system for the whole chain of bamboo industry is established. The data acquisition module realizes the comprehensive collection of material flow data in each link of the bamboo industry chain. Combined with environmental parameters, it can transmit data in the production process in real time and provide comprehensive original data. The data processing module ensures the consistency and integrity of data by normalizing and cleaning the material flow data; the material flow accounting module calculates the input of raw materials, the output of products and the loss of waste in the bamboo industry, evaluates the utilization rate and conversion rate of materials, and ensures the transparency of the material flow of the bamboo industry; the path optimization module realizes the optimal recycling path selection through algorithms, and reduces the waste of resources in the transportation and recycling process; the evaluation and feedback module further dynamically adjusts the system parameters through the feedback mechanism, thereby optimizing the recycling efficiency and system economy.

[0016] Preferably, the steps of the material flow accounting algorithm include:

[0017] S1. Collect and determine the material flow data of bamboo resources, wherein the material flow data includes raw materials, production output, waste flow and recyclable materials;

[0018] S2. Calculate the input and output balance of material flow through the material flow accounting formula;

[0019] S3. Dynamically adjust input and output parameters based on data from the actual production process to meet production needs.

[0020] By calculating the balance state of material flow in different production stages of the bamboo industry, resource flow becomes more transparent. The material flow data collection in step S1 includes raw material input, production output, waste flow, etc., to ensure that the system data covers the entire production process. Through the material flow input and output balance calculation in step S2, the material flow consumption and utilization of each link can be clarified, and the refined management of bamboo resource utilization can be further realized. In step S3, through the dynamic adjustment of production data, the system can flexibly adapt to different production needs and fluctuations, further improving the accuracy and adaptability of material flow accounting.

[0021] Preferably, the material flow calculation formula includes:

[0022]

[0023] Among them, F in The net material flow input indicates the balance state of material flow in each link of the bamboo industry. After calculation, it is used to evaluate whether the material input and output have reached the optimization goal.

[0024] R i is the input amount of the ith primary raw material, is the mass of the bamboo raw material;

[0025] P j The mass of the jth type of waste represents the material flow of products and wastes generated in the bamboo industry chain;

[0026] n is the number of raw material types, which is used to count the input of multiple raw materials;

[0027] m is the number of types of outputs and wastes, and is used to count the output of multiple outputs and wastes.

[0028] After calculating the net material flow input, it can be used to evaluate whether the input and output of materials in each link of the bamboo industry meet the requirements of economic benefits and environmental friendliness. It ensures that the system can evaluate the total input resources. It provides the system with accurate monitoring of waste to optimize waste treatment and resource recovery. It enables the system to flexibly adapt to the complex data processing of various raw materials and outputs. Through this formula, the system can accurately calculate the material flow consumption at different stages of the bamboo industry, ensure the balance of resource input and output, and provide a reliable calculation basis for subsequent path optimization.

[0029] Preferably, the steps of the path optimization algorithm include:

[0030] S1. Determine the initial location of the recycling path, including waste collection points, processing plants, and reuse points;

[0031] S2. Calculate the path cost using the path cost calculation formula and select the path based on the cost minimization principle:

[0032] S3. Iteratively optimize the route through feedback data to reduce transportation costs and improve route utilization.

[0033] The path optimization algorithm improves the efficiency of resource recycling in the bamboo industry by minimizing the transportation and processing costs in the material flow recovery path: it provides the initial position setting of the recovery path to ensure the accurate selection of waste collection points, processing plants and reuse points by the system. Using the path cost calculation formula, the optimal path is selected based on indicators such as distance and recovery difficulty, thereby reducing the transportation cost in the material recovery process. By introducing a feedback optimization mechanism, the system can identify and improve high-cost or inefficient paths through the dynamic update of path data, thereby continuously optimizing the recovery path of the material flow. This algorithm achieves efficient selection of recovery paths through multiple iterations and real-time optimization, making the resource utilization of bamboo industry waste more economical and environmentally friendly.

[0034] Preferably, the path cost calculation formula includes:

[0035]

[0036] Among them, C opt is the total optimization cost of the path, representing the total transportation and processing costs of the material recovery path, and this value is used to minimize the path cost;

[0037] D k is the kth distance of the path, which represents the physical distance between different intervals on the recycling path, and is used to calculate the space cost during transportation;

[0038] W k is the recycling difficulty weight of the kkkth segment on the path, which indicates the difficulty or processing complexity of the recycling path. This value affects the selection of the path, giving priority to the path with lower weight;

[0039] p is the number of segments of the recycling path, which is used to count the distances of each segment of the total path.

[0040] By calculating the total optimization cost, the path cost can be minimized, effectively reducing the economic consumption of resource recycling. The path distance parameter is used to evaluate the spatial transportation cost in the recycling path, thereby reducing the adverse economic and environmental impact of longer recycling paths. The recycling difficulty weight on the path reflects the processing complexity of the recyclables on the path, which can help the system give priority to low-difficulty paths and further optimize resource utilization efficiency. The number of path segments is used to calculate the sum of different path segments to achieve segmented monitoring and optimization of different paths. Through path cost calculation, the system can select the optimal path with low cost and low difficulty in the recycling path, thereby ensuring that resource recycling in the bamboo industry is more efficient and economical.

[0041] Preferably, it also includes a progressive linkage algorithm, and the specific steps of the progressive linkage include:

[0042] S1. Dynamically adjust the recycling path priority through material flow conversion efficiency data, and realize dynamic optimization of the path in combination with path optimization data;

[0043] S2, based on the comprehensive indicators of material flow conversion efficiency and path optimization, to achieve progressive optimization,

[0044] S3. By setting up an adaptive iterative process, the weights of the nodes on the high-cost paths are adjusted to ensure that the system maintains the optimal configuration under different material flow path requirements.

[0045] By applying material flow conversion efficiency data, the recycling path priority is dynamically adjusted to ensure that the recycling process is compatible with the actual material flow conversion rate, further improving resource utilization. The comprehensive indicators of material flow conversion efficiency and path optimization are adopted to ensure that the system achieves the best balance between path optimization and material flow management, further improving the dynamic adaptability of the system. The adaptive iterative process adjusts the node weights of high-cost paths, so that the system can maintain efficient resource allocation in a constantly changing production environment, and the optimization effect is significant. This linkage algorithm realizes the intelligent coordination of path optimization and material flow management, and provides the dynamic optimization mechanism required for the circular economy.

[0046] Preferably, the implementation formula of progressive optimization is:

[0047]

[0048] H total It is the comprehensive benefit indicator of the system, measuring the comprehensive optimization effect of the entire system in terms of material flow conversion efficiency and path optimization cost;

[0049] M eff (l) is the material flow conversion efficiency of the lth path, which indicates the proportion of the materials recycled on this path to the total material flow, and is used to evaluate the recycling effect of the path;

[0050] F in (l) is the material flow input of the lth path, which represents the total input of recycled materials on the path;

[0051] C opt (l) is the optimization cost of the lth path, which is the cost value calculated by the specific distance and difficulty weight of the path;

[0052] λ is a dynamic adjustment coefficient, which is used to balance the relationship between material flow conversion efficiency and path optimization cost;

[0053] q is the number of paths, which is used to count the comprehensive optimization effects on different recycling paths.

[0054] The comprehensive benefit index comprehensively measures the overall performance of the system in terms of material flow conversion efficiency and path optimization cost. The material flow conversion efficiency of the path can be used to evaluate the resource recovery rate of each path, so as to give priority to the efficient path. The material flow input of the path reflects the total input of the recycled materials of the path, so as to optimize the investment of the efficient path. The optimization cost of the path can directly evaluate the economy of the path through this parameter, supporting the system to achieve optimization between resource utilization and cost. The dynamic adjustment coefficient adjusts the relationship between the material flow conversion efficiency and the path optimization cost, so that the system can balance the two according to actual needs and increase the dynamic regulation ability of the system. The number of paths indicates the number of different recycling paths in the system, which is used to summarize and statistically analyze the path optimization effect of the whole system. Through the progressive optimization formula, the system realizes the intelligent and dynamic adjustment of path optimization and material flow management, ensuring the efficient operation of the circular economy model of the bamboo industry and the maximum utilization of resources.

[0055] A material flow optimization management system method based on a wood and bamboo industry circular economy model uses the material flow optimization management system based on a wood and bamboo industry circular economy model.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] The system realizes accurate monitoring and accounting of material flows in each link of the bamboo industry chain through data acquisition modules and material flow accounting modules. The material flow accounting algorithm can comprehensively evaluate the input of raw materials, product output and the destination of waste, helping managers to grasp the material flow of each production link, achieving refined management and transparent monitoring of resources, avoiding waste of resources and improving material utilization.

[0058] The path optimization algorithm dynamically selects the optimal path based on the cost and difficulty of the actual recycling path, and continuously adjusts the path selection through the feedback mechanism, realizing the intelligent and dynamic optimization of the recycling path. The path cost calculation formula effectively balances the transportation distance and recycling difficulty, ensuring that the resource recycling process is economical and environmentally friendly, and significantly reducing the overall cost of recycling transportation.

[0059] The progressive linkage algorithm achieves dynamic adaptive adjustment under different production stages and path requirements through nonlinear comprehensive optimization of material flow conversion efficiency and path optimization cost. The system performs iterative optimization based on real-time data, automatically balances resource conversion efficiency and path optimization cost, improves the overall efficiency of the system, and ensures efficient and sustainable operation of the circular economy of the bamboo industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1The present invention is a schematic diagram of the module relationship of a material flow optimization management system and method based on the circular economy model of the wood and bamboo industry. DETAILED DESCRIPTION

[0061] A material flow optimization management system based on the circular economy model of wood and bamboo industry, comprising: a data acquisition module, a data processing module, a material flow accounting module, a circular path optimization module and an evaluation and feedback module;

[0062] The data acquisition module is used to collect material flow data of each link in the bamboo industry chain; the data acquisition module includes a material flow sensor, an RFID identifier, a temperature and humidity sensor, an industrial camera, an Internet of Things gateway and an industrial control computer, and can monitor and transmit data in real time;

[0063] The data processing module is electrically connected to the data acquisition module, and is used to normalize, clean outliers and classify the material flow data; the data processing module stores and classifies the cleaned data according to time, material type and production stage through the data processing server, and provides standardized data input;

[0064] The material flow accounting module is electrically connected to the data processing module, and is used to analyze and calculate the input, output and balance state of each material in the bamboo industry based on the material flow accounting algorithm to obtain the material flow conversion efficiency and consumption; the material flow accounting module performs data processing through the central processing unit and the computing unit, and transmits the accounting results to the path optimization module;

[0065] The circulation path optimization module is electrically connected to the material flow accounting module, and is used to determine the optimal path for material recycling through a path optimization algorithm based on the conversion efficiency and resource distribution data output by the material flow accounting module, so as to reduce the recycling transportation cost; the circulation path optimization module realizes dynamic optimization of different recycling paths through a path calculation processor and a path selection controller, and transmits the optimization results to the evaluation and feedback module;

[0066] The evaluation and feedback module is used to comprehensively evaluate the economic and ecological benefits of the system based on the path optimization results; the evaluation and feedback module adjusts the parameters in the path optimization and material flow accounting modules through the feedback controller to achieve dynamic regulation of material flow.

[0067] Through the combination of data acquisition module, data processing module, material flow accounting module, recycling path optimization module and evaluation and feedback module, a material flow monitoring, calculation and optimization system for the whole chain of bamboo industry is established. The data acquisition module realizes the comprehensive collection of material flow data in each link of the bamboo industry chain. Combined with environmental parameters, it can transmit data in the production process in real time and provide comprehensive original data. The data processing module ensures the consistency and integrity of data by normalizing and cleaning the material flow data; the material flow accounting module calculates the input of raw materials, the output of products and the loss of waste in the bamboo industry, evaluates the utilization rate and conversion rate of materials, and ensures the transparency of the material flow of the bamboo industry; the path optimization module realizes the optimal recycling path selection through algorithms, and reduces the waste of resources in the transportation and recycling process; the evaluation and feedback module further dynamically adjusts the system parameters through the feedback mechanism, thereby optimizing the recycling efficiency and system economy.

[0068] Specifically, the steps of the material flow calculation algorithm include:

[0069] S1. Collect and determine the material flow data of bamboo resources, wherein the material flow data includes raw materials, production output, waste flow and recyclable materials;

[0070] S2. Calculate the input and output balance of material flow through the material flow accounting formula;

[0071] S3. Dynamically adjust input and output parameters based on data from the actual production process to meet production needs.

[0072] By calculating the balance state of material flow in different production stages of the bamboo industry, resource flow becomes more transparent. The material flow data collection in step S1 includes raw material input, production output, waste flow, etc., to ensure that the system data covers the entire production process. Through the material flow input and output balance calculation in step S2, the material flow consumption and utilization of each link can be clarified, and the refined management of bamboo resource utilization can be further realized. In step S3, through the dynamic adjustment of production data, the system can flexibly adapt to different production needs and fluctuations, further improving the accuracy and adaptability of material flow accounting.

[0073] In specific use, material flow data of each link of the bamboo industry chain is collected through material flow sensors, RFID identifiers, and temperature and humidity sensors, including raw material input, product output, and waste flow. The collected data is cleaned and normalized through the data processing server to ensure data integrity and consistency. The material flow balance state of each link is calculated using the material flow accounting formula:

[0074] The sensor data is processed in real time using industrial control computers and normalized through data processing servers. The addition and subtraction operations of the formula are implemented through programming, the material flow balance of each stage is calculated, and the results are stored in the database for subsequent analysis. The formula calculates the net material flow through the difference between input and output materials, thereby evaluating the resource utilization and waste generation of each link, ensuring the effective flow of materials in the bamboo industry chain.

[0075] The calculated F in It is used to evaluate whether the resource input of each link is excessive or whether the output is reasonable. in If the value is too high, it means that the raw material consumption is too large and the production process needs to be adjusted; if F in If the value is low, you can continue to increase input resources to increase production.

[0076] Specifically, the material flow calculation formula includes:

[0077]

[0078] Among them, F in The net material flow input indicates the balance state of material flow in each link of the bamboo industry. After calculation, it is used to evaluate whether the material input and output have reached the optimization goal.

[0079] R i is the input amount of the ith primary raw material, is the mass of the bamboo raw material;

[0080] P j The mass of the jth type of waste represents the material flow of products and wastes generated in the bamboo industry chain;

[0081] n is the number of raw material types, which is used to count the input of multiple raw materials;

[0082] m is the number of types of outputs and wastes, and is used to count the output of multiple outputs and wastes.

[0083] After calculating the net material flow input, it can be used to evaluate whether the input and output of materials in each link of the bamboo industry meet the requirements of economic benefits and environmental friendliness. It ensures that the system can evaluate the total input resources. It provides the system with accurate monitoring of waste to optimize waste treatment and resource recovery. It enables the system to flexibly adapt to the complex data processing of various raw materials and outputs. Through this formula, the system can accurately calculate the material flow consumption at different stages of the bamboo industry, ensure the balance of resource input and output, and provide a reliable calculation basis for subsequent path optimization.

[0084] During specific use, the system initializes the recycling path based on the collected data, including the physical locations of each waste collection point, processing plant, and reuse point. The total transportation and processing costs of each path are calculated using the path cost calculation formula. The system analyzes the actual operation data, updates the path selection through data feedback, and reduces the priority of high-cost paths. The physical location and path distance of each collection point are determined through GPS and geographic information system (GIS). The weighted summation operation of the formula is programmed on the path calculation processor to output the lowest cost path. The formula combines the transportation distance and processing complexity in the recycling path through the weighted summation of the path distance and the recycling difficulty to ensure that the path selection is optimal in terms of cost.

[0085] The calculated C opt The value is used for path selection. The system gives priority to the path with the lowest cost for resource recovery, significantly reducing transportation costs and resource loss. opt If it exceeds the budget range, the system will prioritize the route and use the next best route instead, thereby dynamically optimizing transportation and recovery costs.

[0086] Specifically, the steps of the path optimization algorithm include:

[0087] S1. Determine the initial location of the recycling path, including waste collection points, processing plants, and reuse points;

[0088] S2. Calculate the path cost using the path cost calculation formula and select the path based on the cost minimization principle:

[0089] S3. Iteratively optimize the route through feedback data to reduce transportation costs and improve route utilization.

[0090] The path optimization algorithm improves the efficiency of resource recycling in the bamboo industry by minimizing the transportation and processing costs in the material flow recovery path: it provides the initial position setting of the recovery path to ensure the accurate selection of waste collection points, processing plants and reuse points by the system. Using the path cost calculation formula, the optimal path is selected based on indicators such as distance and recovery difficulty, thereby reducing the transportation cost in the material recovery process. By introducing a feedback optimization mechanism, the system can identify and improve high-cost or inefficient paths through the dynamic update of path data, thereby continuously optimizing the recovery path of the material flow. This algorithm achieves efficient selection of recovery paths through multiple iterations and real-time optimization, making the resource utilization of bamboo industry waste more economical and environmentally friendly.

[0091] Specifically, the path cost calculation formula includes:

[0092]

[0093] Among them, C optis the total optimization cost of the path, representing the total transportation and processing costs of the material recovery path, and this value is used to minimize the path cost;

[0094] D k is the kth distance of the path, which represents the physical distance between different intervals on the recycling path, and is used to calculate the space cost during transportation;

[0095] W k is the recycling difficulty weight of the kkkth segment on the path, which indicates the difficulty or processing complexity of the recycling path. This value affects the selection of the path, giving priority to the path with lower weight;

[0096] p is the number of segments of the recycling path, which is used to count the distances of each segment of the total path.

[0097] By calculating the total optimization cost, the path cost can be minimized, effectively reducing the economic consumption of resource recycling. The path distance parameter is used to evaluate the spatial transportation cost in the recycling path, thereby reducing the adverse economic and environmental impact of longer recycling paths. The recycling difficulty weight on the path reflects the processing complexity of the recyclables on the path, which can help the system give priority to low-difficulty paths and further optimize resource utilization efficiency. The number of path segments is used to calculate the sum of different path segments to achieve segmented monitoring and optimization of different paths. Through path cost calculation, the system can select the optimal path with low cost and low difficulty in the recycling path, thereby ensuring that resource recycling in the bamboo industry is more efficient and economical.

[0098] Specifically, it also includes a progressive linkage algorithm, and the progressive linkage specific steps include:

[0099] S1. Dynamically adjust the recycling path priority through material flow conversion efficiency data, and realize dynamic optimization of the path in combination with path optimization data;

[0100] S2, based on the comprehensive indicators of material flow conversion efficiency and path optimization, to achieve progressive optimization,

[0101] S3. By setting up an adaptive iterative process, the weights of the nodes on the high-cost paths are adjusted to ensure that the system maintains the optimal configuration under different material flow path requirements.

[0102] By applying the material flow conversion efficiency data, the recycling path priority is dynamically adjusted to ensure that the recycling process is compatible with the actual material flow conversion rate, further improving resource utilization. The comprehensive indicators of material flow conversion efficiency and path optimization are adopted to ensure that the system achieves the best balance between path optimization and material flow management, further improving the dynamic adaptability of the system. The adaptive iterative process adjusts the node weights of high-cost paths, so that the system can maintain efficient resource allocation in a constantly changing production environment, with significant optimization effects. This linkage algorithm realizes the intelligent coordination of path optimization and material flow management, and provides the dynamic optimization mechanism required for the circular economy.

[0103] The system calculates the material flow conversion efficiency of each path through the material flow accounting algorithm, generates parameters, and uses the progressive linkage formula to calculate the comprehensive benefits of the system based on the material flow conversion efficiency and path optimization indicators. The system regularly analyzes feedback data and dynamically adjusts the λ value and the weight of each path to ensure that the comprehensive benefits of the system achieve the best balance between high conversion efficiency and low path cost. Use data analysis software and adaptive feedback algorithms to achieve dynamic analysis and adjustment of historical data. Program the calculation of nonlinear functions in the formula in the central processing unit to obtain the comprehensive benefit indicators of each path. The formula is based on nonlinear functions and comprehensively balances the material flow conversion efficiency and path optimization costs. Through the "S-shaped" curve of the nonlinear function, high-efficiency and low-cost paths are given priority, while high-cost and low-efficiency paths are suppressed. The calculated H total As a comprehensive benefit indicator of the system, it reflects the optimization effect of each path in material flow conversion and economic cost. total The size of H is determined by giving priority to paths with high comprehensive benefits for resource recycling, thus improving the economic and ecological benefits of the bamboo industry. total If it is lower than the threshold, the system will automatically adjust to lower the priority of the path or eliminate the path, further improving the system's dynamic adaptability and resource recovery efficiency.

[0104] Specifically, the implementation formula of progressive optimization is:

[0105]

[0106] H total It is the comprehensive benefit indicator of the system, measuring the comprehensive optimization effect of the entire system in terms of material flow conversion efficiency and path optimization cost;

[0107] M eff (l) is the material flow conversion efficiency of the lth path, which indicates the proportion of the materials recycled on this path to the total material flow, and is used to evaluate the recycling effect of the path;

[0108] F in(l) is the material flow input of the lth path, which represents the total input of recycled materials on the path;

[0109] C opt (l) is the optimization cost of the lth path, which is the cost value calculated by the specific distance and difficulty weight of the path;

[0110] λ is a dynamic adjustment coefficient, which is used to balance the relationship between material flow conversion efficiency and path optimization cost;

[0111] q is the number of paths, which is used to count the comprehensive optimization effects on different recycling paths.

[0112] The comprehensive benefit index comprehensively measures the overall performance of the system in terms of material flow conversion efficiency and path optimization cost. The material flow conversion efficiency of the path can be used to evaluate the resource recovery rate of each path, so as to give priority to the efficient path. The material flow input of the path reflects the total input of the recycled materials of the path, so as to optimize the investment of the efficient path. The optimization cost of the path can directly evaluate the economy of the path through this parameter, supporting the system to achieve optimization between resource utilization and cost. The dynamic adjustment coefficient adjusts the relationship between the material flow conversion efficiency and the path optimization cost, so that the system can balance the two according to actual needs and increase the dynamic regulation ability of the system. The number of paths indicates the number of different recycling paths in the system, which is used to summarize and statistically analyze the path optimization effect of the whole system. Through the progressive optimization formula, the system realizes the intelligent and dynamic adjustment of path optimization and material flow management, ensuring the efficient operation of the circular economy model of the bamboo industry and the maximum utilization of resources.

[0113] A material flow optimization management system method based on a wood and bamboo industry circular economy model uses the material flow optimization management system based on a wood and bamboo industry circular economy model.

Claims

1. A material flow optimization management system based on the circular economy model of wood and bamboo industry, characterized in that: include: Data acquisition module, data processing module, material flow accounting module, circulation path optimization module and evaluation and feedback module; The data acquisition module is used to collect material flow data of each link in the bamboo industry chain; the data acquisition module includes a material flow sensor, an RFID identifier, a temperature and humidity sensor, an industrial camera, an Internet of Things gateway and an industrial control computer, and can monitor and transmit data in real time; The data processing module is electrically connected to the data acquisition module, and is used to normalize, clean outliers and classify the material flow data; the data processing module stores and classifies the cleaned data according to time, material type and production stage through the data processing server, and provides standardized data input; The material flow accounting module is electrically connected to the data processing module, and is used to analyze and calculate the input, output and balance state of each material in the bamboo industry based on the material flow accounting algorithm to obtain the material flow conversion efficiency and consumption; the material flow accounting module performs data processing through the central processing unit and the computing unit, and transmits the accounting results to the path optimization module; The circulation path optimization module is electrically connected to the material flow accounting module, and is used to determine the optimal path for material recycling through a path optimization algorithm based on the conversion efficiency and resource distribution data output by the material flow accounting module, so as to reduce the recycling transportation cost; the circulation path optimization module realizes dynamic optimization of different recycling paths through a path calculation processor and a path selection controller, and transmits the optimization results to the evaluation and feedback module; The evaluation and feedback module is used to comprehensively evaluate the economic and ecological benefits of the system based on the path optimization results; the evaluation and feedback module adjusts the parameters in the path optimization and material flow accounting modules through the feedback controller to achieve dynamic regulation of material flow.

2. The material flow optimization management system based on the circular economy model of wood and bamboo industry according to claim 1 is characterized in that: The steps of the material flow calculation algorithm include: S1. Collect and determine the material flow data of bamboo resources, wherein the material flow data includes raw materials, production output, waste flow and recyclable materials; S2. Calculate the input and output balance of material flow through the material flow accounting formula; S3. Dynamically adjust input and output parameters based on data from the actual production process to meet production needs.

3. The material flow optimization management system based on the circular economy model of wood and bamboo industry according to claim 2 is characterized in that: The material flow calculation formula includes: Among them, F in The net material flow input indicates the balance state of material flow in each link of the bamboo industry. After calculation, it is used to evaluate whether the material input and output have reached the optimization goal. R i is the input amount of the ith primary raw material, is the mass of the bamboo raw material; P j The mass of the jth type of waste represents the material flow of products and wastes generated in the bamboo industry chain; n is the number of raw material types, which is used to count the input of multiple raw materials; m is the number of types of outputs and wastes, and is used to count the output of multiple outputs and wastes.

4. The material flow optimization management system based on the circular economy model of wood and bamboo industry according to claim 3 is characterized in that: The steps of the path optimization algorithm include: S1. Determine the initial location of the recycling path, including waste collection points, processing plants, and reuse points; S2. Calculate using the path cost calculation formula and select a path based on the cost minimization principle: S3. Iteratively optimize the route through feedback data to reduce transportation costs and improve route utilization.

5. The material flow optimization management system based on the circular economy model of wood and bamboo industry according to claim 4 is characterized in that: The path cost calculation formula includes: Among them, C opt is the total optimization cost of the path, representing the total transportation and processing costs of the material recovery path, and this value is used to minimize the path cost; D k is the kth distance of the path, which represents the physical distance between different intervals on the recycling path, and is used to calculate the space cost during transportation; W k is the recycling difficulty weight of the kkkth segment on the path, which indicates the difficulty or processing complexity of the recycling path. This value affects the selection of the path, giving priority to the path with lower weight; p is the number of segments of the recycling path, which is used to count the distances of each segment of the total path.

6. The material flow optimization management system based on the circular economy model of wood and bamboo industry according to claim 5 is characterized in that: It also includes a progressive linkage algorithm, and the specific steps of the progressive linkage include: S1. Dynamically adjust the recycling path priority through material flow conversion efficiency data, and realize dynamic optimization of the path in combination with path optimization data; S2, based on the comprehensive indicators of material flow conversion efficiency and path optimization, to achieve progressive optimization, S3. By setting up an adaptive iterative process, the weights of the nodes on the high-cost paths are adjusted to ensure that the system maintains the optimal configuration under different material flow path requirements.

7. The material flow optimization management system based on the circular economy model of wood and bamboo industry according to claim 6 is characterized in that: The implementation formula of progressive optimization is: H total It is the comprehensive benefit indicator of the system, measuring the comprehensive optimization effect of the entire system in terms of material flow conversion efficiency and path optimization cost; M eff (l) is the material flow conversion efficiency of the lth path, which indicates the proportion of the materials recycled on this path to the total material flow, and is used to evaluate the recycling effect of the path; F in (l) is the material flow input of the lth path, which represents the total input of recycled materials on the path; C opt (l) is the optimization cost of the lth path, which is the cost value calculated by the specific distance and difficulty weight of the path; λ is a dynamic adjustment coefficient, which is used to balance the relationship between material flow conversion efficiency and path optimization cost; q is the number of paths, which is used to count the comprehensive optimization effects on different recycling paths.

8. A material flow optimization management system method based on the circular economy model of wood and bamboo industry, characterized in that: Use the material flow optimization management system based on the wood and bamboo industry circular economy model as described in any one of claims 1-7.

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