Urban mineral migration and transformation analysis method and system

Abstract

The invention relates to the technical field of urban mineral migration, and discloses an urban mineral migration and transformation analysis method and system, and the method comprises the steps: carrying out the prediction according to the pre-obtained urban industrial data, and obtaining the resource demand prediction amount of each city; taking the city as a root node and the supply and demand information as a leaf node to construct a city mineral supply and demand tree; the urban mineral information comprises the supply quantity of jth renewable resources in the tth year, the quantity of waste products entering a recycling system in the tth year, the recycling proportion of eliminated products generated in the ith year in the tth year and the content of the jth resources; matching a corresponding urban mineral product moving path for each city in a pre-constructed urban mineral product knowledge graph to obtain a first moving path set, expanding the paths to obtain a second moving path set, and screening to obtain an urban mineral product scheduling path; according to the method, the urban mineral resource scheduling path can be formulated, expanded and optimized, and the transportation efficiency and allocation rationality of the urban mineral resources are improved.

Description

Technical Field

[0001] The present invention relates to the field of urban mineral movement technology, and in particular to an urban mineral migration and transformation analysis method and system. Background Art

[0002] With the rapid development of urbanization and industrialization, the efficient utilization and rational allocation of urban mineral resources have become key to ensuring resource security and promoting sustainable development. When allocating urban mineral resources, accurately understanding the demand and supply of urban minerals, rationally planning urban mineral migration and transformation pathways, and achieving high-precision migration and transformation of urban mineral resources within a 10km×10km spatial scale are crucial for improving resource utilization efficiency and ensuring the stable development of the urban economy.

[0003] At present, most of the migration and transformation analysis of urban minerals focuses on transforming urban recycled waste as much as possible. However, for waste products, the recycling process is often very costly. Therefore, for urban resource demand, if the demand is lower than the supply, only part of it can be recycled, and the rest can be transported to cities with centralized recycling capabilities to improve urban resource processing efficiency. Therefore, the migration and transformation volume and distribution of urban minerals need further analysis. Summary of the Invention

[0004] In view of the shortcomings of the existing technology, the main purpose of the present invention is to provide an urban mineral migration and transformation analysis method and system that can effectively solve the problems in the background technology. The specific technical solutions of the present invention are as follows:

[0005] An urban mineral migration and transformation analysis method, comprising:

[0006] Based on the pre-acquired urban industrial data, the resource demand is predicted using the preset urban mineral forecasting model to obtain the resource demand forecast for each city;

[0007] Based on the preset urban mineral information and the resource demand forecast, an urban mineral supply and demand tree is constructed with the city as the root node and the supply and demand information as the leaf nodes; the urban mineral information includes the supply of the jth type of renewable resource in year t, the number of waste products entering the recycling system in year t, the proportion of obsolete products generated in year i that are recycled in year t, the proportion of renewable resource development and utilization of the jth type of resource in recycled waste products, and the content of the jth type of resource in the product;

[0008] In combination with the urban mineral supply and demand tree, a corresponding urban mineral movement path is matched for each city in the pre-constructed urban mineral knowledge graph to obtain a first movement path set;

[0009] Filtering out paths with path intersections from the first moving path set, and expanding the paths based on corresponding supply and demand relationships to obtain a second moving path set;

[0010] Through the preset path screening model, path screening is performed in the second mobile path set to obtain the urban mineral scheduling path, so as to perform high-precision migration and transformation of urban minerals.

[0011] Specifically, the resource demand is predicted based on the pre-acquired urban industrial data using a preset urban mineral forecasting model to obtain the resource demand forecast for each city, including:

[0012] Based on the capacity data in the pre-acquired urban industrial data, the urban mineral development and utilization volume is predicted through the preset urban mineral prediction model to obtain the predicted amount of urban mineral development and utilization;

[0013] According to the production structure data in the urban industrial data, the correlation between industries is analyzed through the preset industrial correlation model to obtain the industrial correlation analysis results;

[0014] Combined with the predicted amount of exploitable and utilizable urban mineral resources and the results of industrial correlation analysis, the resource demand is analyzed to obtain the predicted amount of resource demand for each city.

[0015] Specifically, based on the preset urban mineral information and the resource demand forecast, with the city as the root node and the supply and demand information as the leaf nodes, an urban mineral supply and demand tree is constructed, including:

[0016] Analyzing urban mineral supply information and resource demand information among cities based on preset urban mineral information and the resource demand forecast;

[0017] The city is the root node, and the city's corresponding urban mineral supply information and resource demand information are the leaf nodes;

[0018] According to the geographical location relationship and supply and demand relationship between cities, a connection relationship is established between the corresponding root nodes and leaf nodes to construct an urban mineral supply and demand tree.

[0019] Specifically, in combination with the urban mineral supply and demand tree, a corresponding urban mineral movement path is matched for each city in the pre-built urban mineral knowledge graph to obtain a first movement path set, including:

[0020] Extract the features of leaf node information in the urban mineral supply and demand tree and construct the leaf node feature vector;

[0021] Extract features from the pre-built urban mineral knowledge graph and construct graph feature vectors;

[0022] Combining the leaf node feature vector and the graph feature vector to generate a fused feature vector;

[0023] According to the fused feature vector and the resource demand forecast, a corresponding urban mineral movement path is matched for each city in the urban mineral knowledge graph to obtain a first movement path set.

[0024] Specifically, according to the fused feature vector and the resource demand forecast, a corresponding urban mineral movement path is matched for each city in the urban mineral knowledge graph to obtain a first movement path set, including:

[0025] Decompose the fused feature vector to obtain time constraints and spatial constraints respectively;

[0026] Filter out city nodes that meet time and space constraints in the urban mineral knowledge graph to obtain a set of candidate cities;

[0027] According to the supply and demand information between cities, paths are constructed between cities in the candidate city set to obtain a candidate path set;

[0028] By analyzing the relationship between the urban mineral supply of the nodes in the path and the predicted resource demand of the corresponding city, the corresponding urban mineral movement paths are screened out from the candidate path set to obtain the first movement path set.

[0029] Specifically, the paths with path intersections are screened out from the first moving path set, and the paths are expanded based on corresponding supply and demand relationships to obtain the second moving path set, including:

[0030] Comparing the paths in the first moving path set, screening out the paths with path intersections, and obtaining a first path group;

[0031] According to the supply and demand relationship of the cities corresponding to the path intersections in the first path group, the paths are expanded with the path intersections as the center to obtain the second moving path set.

[0032] Specifically, according to the supply and demand relationship of the cities corresponding to the path intersections in the first path group, the paths are expanded with the path intersections as the center to obtain the second moving path set, including:

[0033] According to the supply and demand relationship of the cities corresponding to the path intersections in the first path group, nodes associated with the path intersections are searched as the first node set;

[0034] Taking the path intersection as the center, associate the nodes in the first node set to obtain an associated path;

[0035] The paths in the first path group are expanded according to the associated paths to obtain a second moving path set.

[0036] Specifically, the preset path screening model is used to screen the second mobile path set to obtain an urban mineral scheduling path, so as to perform high-precision migration and transformation of urban minerals, including:

[0037] By using a preset path screening model, the urban mineral resource conversion rate of each path in the second mobile path set is analyzed to calculate the path score of each path;

[0038] The path with the highest path score is selected from the second moving path set as the urban mineral scheduling path to perform high-precision migration and transformation of urban minerals.

[0039] Specifically, the preset path screening model is used to analyze the urban mineral resource conversion rate of each path in the second mobile path set, and the path score of each path is calculated, including:

[0040] Analyzing the input and output of urban mineral resources at each node on each path according to the second set of moving paths;

[0041] Combining the urban mineral resource input and output of all path nodes on each path, the urban mineral resource conversion rate of each path is calculated;

[0042] According to the urban mineral resource conversion rate, the path score of each path is calculated through a preset path screening model.

[0043] An urban mineral migration and transformation analysis system, used to implement the urban mineral migration and transformation analysis method, comprising:

[0044] The demand forecasting module predicts resource demand based on pre-acquired urban industrial data and a preset urban mineral forecasting model to obtain the resource demand forecast for each city;

[0045] An urban mineral supply and demand tree construction module is configured to construct an urban mineral supply and demand tree based on preset urban mineral information and the resource demand forecast, with the city as the root node and the supply and demand information as the leaf nodes; the urban mineral information includes the supply of the jth type of renewable resource in year t, the number of waste products entering the recycling system in year t, the proportion of obsolete products generated in year i that are recycled in year t, the proportion of renewable resource development and utilization of the jth type of resource in recycled waste products, and the content of the jth type of resource in the product;

[0046] A path matching module, combining the urban mineral supply and demand tree, matches the corresponding urban mineral movement path for each city in the pre-built urban mineral knowledge graph to obtain a first movement path set;

[0047] a path expansion module, which screens out paths with path intersections from the first moving path set, and expands the paths based on corresponding supply and demand relationships to obtain a second moving path set;

[0048] The path screening module uses a preset path screening model to perform path screening in the second mobile path set to obtain an urban mineral scheduling path to perform high-precision migration and transformation of urban minerals.

[0049] Compared with the prior art, this application has the following beneficial effects:

[0050] This application combines production capacity data and industrial correlation analysis results to predict resource demand, analyzes the urban mineral supply and demand relationship between cities by constructing an urban mineral supply and demand tree, matches urban mineral movement paths in the urban mineral knowledge map, and expands paths with existing intersections based on path intersections. The optimal path is selected by analyzing the supply and demand relationship and resource conversion rate; based on the predicted accurate resource demand, a corresponding urban mineral resource scheduling path is formulated, and the path is expanded and optimized, which can reduce resource waste, improve the transportation efficiency and coordination rationality of urban mineral resources, and realize high-precision migration and conversion of urban minerals. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is a workflow diagram of an urban mineral migration and transformation analysis method in Example 1 of the present invention;

[0052] Figure 2 This is a schematic diagram of the urban mineral supply and demand tree in Example 1 of the present invention;

[0053] Figure 3 This is a schematic diagram of the urban mineral knowledge graph in Example 1 of the present invention;

[0054] Figure 4 This is a schematic diagram of the urban mineral transportation route expansion process in Example 1 of the present invention;

[0055] Figure 5 This is a schematic structural diagram of an urban mineral migration and transformation analysis system in Example 2 of the present invention;

[0056] Figure 6 Schematic diagram of the idea of ​​constructing a Stockbased model for dual prediction of total resource demand and renewable resource supply in the context of the present invention. DETAILED DESCRIPTION

[0057] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0058] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0059] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0060] As the background of this application, the supply of renewable resources is closely related to the product's holdings, sales, service life and reverse logistics information. There are many terms involved in reverse logistics: the obsolete quantity refers to the number of products that have been used for the first time and replaced by consumers since their production; the reused quantity refers to the number of obsolete products that have been refurbished in the second-hand market and then resold and used; the idle quantity refers to the number of obsolete products that are idle at home or in the office; the scrapped quantity refers to the number of obsolete, reused and idle products that enter the recycling channel; the supply of renewable resources refers to the number of scrapped products that are finally converted into usable resources or products after resource recycling or parts reuse. According to my country's statistical system, holdings data can be directly obtained through the National Statistical Yearbook; the service life of various products can be obtained through surveys and analyses of residents; and reverse logistics information of discarded products can be obtained through surveys and analyses of various recyclers. Based on the above data, the design's accounting ideas are as follows. Figure 6 shown.

[0061] According to the law of conservation of matter, the flow and stock of a material influence each other. An increase in stock (holdings) means that the inflow (consumption) in the overall system exceeds the outflow (scrap), and vice versa. At the same time, there is a close correlation between product scrapping, product consumption, and product lifespan distribution: the scrapping of products in year t is equal to the product of product consumption in year ti and the scrapping ratio in year i (i = 1, 2, ..., t). Based on this principle, a stock-based model can be constructed to calculate the resource potential of waste products within different time and space ranges. The relationship is:

[0062]

[0063]

[0064] in, For the social ownership of products, is the product consumption, is the amount of product scrapped, is the product life distribution. is the social ownership of the product in year t, is the product consumption in year t, is the amount of product scrapped in year t.

[0065] This application is an invention based on the above background, and the embodiments of this application are described in detail below.

[0066] Example 1

[0067] This embodiment provides a method for analyzing the migration and transformation of urban mineral resources. Figure 1 As shown, a method for analyzing the migration and transformation of urban minerals includes:

[0068] S101. Predicting resource demand based on pre-acquired city industrial data using a preset city mineral forecasting model to obtain a resource demand forecast for each city;

[0069] S102. Based on the preset urban mineral information and the resource demand forecast, construct an urban mineral supply and demand tree with the city as the root node and the supply and demand information as the leaf nodes; the urban mineral information includes the supply of the jth type of renewable resource in year t, the number of waste products entering the recycling system in year t, the proportion of obsolete products generated in year i that are recycled in year t, the proportion of the jth type of resource developed and utilized as a renewable resource in the recycled waste products, and the content of the jth type of resource in the products;

[0070] S103. In combination with the urban mineral supply and demand tree, matching the corresponding urban mineral movement path for each city in the pre-constructed urban mineral knowledge graph to obtain a first movement path set;

[0071] S104: Filter out paths with path intersections from the first moving path set, and expand the paths based on corresponding supply and demand relationships to obtain a second moving path set;

[0072] S105. Path screening is performed in the second mobile path set using a preset path screening model to obtain an urban mineral scheduling path, so as to perform high-precision migration and transformation of urban minerals.

[0073] In the context of global resource scarcity, high-resolution migration and transformation of urban mineral resources (high resolution, meaning transformation of urban mineral resources within a spatial range of 10 km × 10 km) can effectively improve resource utilization efficiency, reduce resource acquisition costs, and ensure the stable development of the urban economy. The migration and transformation of urban mineral resources is the resource scheduling of urban mineral resources, transporting them from one city to another to meet the urban mineral resource needs of each city. This embodiment predicts the resource demand forecast for each city based on urban mineral information. By analyzing the supply and demand relationship between urban mineral resources in different cities, an urban mineral supply and demand tree is constructed. Based on the demand forecast and the supply and demand tree, urban mineral resource scheduling paths are matched in the urban mineral knowledge graph. Paths with intersections are expanded to increase the resource allocation flexibility of the urban mineral resource scheduling paths. Using a path screening model, the optimal urban mineral scheduling path is selected from the expanded path set, thus achieving the planning of urban mineral migration and transformation paths, meeting the needs for the rational allocation of urban mineral resources between cities, reducing resource idleness and waste, and improving overall resource utilization efficiency.

[0074] In this embodiment, based on the pre-acquired urban industrial data, the resource demand is predicted by a preset urban mineral prediction model to obtain the resource demand forecast for each city; the urban industrial data of each city is collected, including production capacity data and production structure data, wherein the production capacity data includes the number of urban mineral production equipment in each city, the equipment operating time, the output per unit time, etc.; the production structure data includes the scale of each industry in the city, the upstream and downstream relationships between industries, the consumption ratio of industries to different urban minerals, etc.; the urban mineral information is input into the preset urban mineral prediction model to predict the production capacity and analyze the impact of industrial correlation on resource demand. The urban mineral prediction model includes a machine learning model, an empirical model, etc., and the model outputs the resource demand forecast for each city; combined with the production capacity prediction and industrial correlation analysis, considering that the urban resource demand is not static and will be affected by multiple factors such as changes in production capacity and industrial structure adjustments, predicting accurate resource demand can avoid resource oversupply or shortage.

[0075] Preferably, based on the preset urban mineral information and the resource demand forecast, with the city as the core, the urban mineral supply and demand information between cities is organized in a tree structure, and by analyzing the urban mineral resource supply and demand information between cities, with the city as the root node and the supply and demand information as the leaf node, a connection is established between the root node and the leaf node in combination with the geographical location of the city and the supply and demand relationship, to construct an urban mineral supply and demand tree; the urban mineral supply and demand tree can display the complex urban mineral supply and demand relationship between cities, can quickly understand the urban mineral supply and demand status of each city, provide a reference framework for urban mineral resource movement path planning, and reduce information confusion in the planning process.

[0076] Specifically, based on the urban mineral supply and demand tree and the pre-constructed urban mineral knowledge graph, feature extraction and feature fusion are performed respectively, and an urban mineral movement path that conforms to its supply and demand relationship and demand forecast is matched for each city in the knowledge graph to form a first movement path set. The knowledge graph includes information on cities, urban minerals, transportation, etc. By fusing feature vectors, the relationship between multiple information can be combined, and comprehensive consideration can be given to multiple factors such as supply and demand relationships, time, and space between cities, thereby improving the rationality and feasibility of resource movement paths, reducing transportation costs, and improving resource allocation efficiency.

[0077] In the first set of moving paths, there will be intersections in some paths. The intersection cities include rich supply and demand relationships. The supply and demand relationships of the intersection cities are analyzed, and the paths are expanded with the path intersections as the center to obtain the second set of moving paths. By expanding the paths, the supply and demand resources of the intersection cities can be fully utilized, the urban mineral migration paths can be optimized, the circulation efficiency of urban mineral resources can be improved, the flexibility of the resource migration paths can be increased, and the overall urban mineral migration network can be optimized.

[0078] Preferably, for each path in the second mobile path set, the urban mineral resource conversion rate of the path is analyzed through a preset path screening model, the path score of each path is calculated, and the path with the highest path score is screened out from the second mobile path set as the urban mineral scheduling path. Urban minerals are scheduled according to the urban mineral scheduling path to realize the migration and transformation of urban mineral resources; by screening out the urban mineral scheduling path with the highest resource utilization efficiency and the lowest comprehensive cost, the overall utilization efficiency of urban mineral resources can be improved, resource waste can be reduced, and the rational allocation and efficient utilization of urban mineral resources can be guaranteed.

[0079] This application combines production capacity data and industrial correlation analysis results to predict resource demand, analyzes the urban mineral supply and demand relationship between cities by constructing an urban mineral supply and demand tree, matches urban mineral movement paths in the urban mineral knowledge map, and expands paths with existing intersections based on path intersections. The optimal path is selected by analyzing the supply and demand relationship and resource conversion rate; based on the predicted accurate resource demand, a corresponding urban mineral resource scheduling path is formulated, and the path is expanded and optimized, which can reduce resource waste and improve the transportation efficiency and coordination rationality of urban mineral resources.

[0080] Furthermore, the resource demand is predicted based on the pre-acquired urban industrial data using a preset urban mineral forecasting model to obtain the resource demand forecast for each city, including:

[0081] S201. Predicting the development and utilization volume of urban minerals using a preset urban mineral prediction model based on the production capacity data in the pre-acquired urban industrial data to obtain a predicted amount of urban minerals that can be developed and utilized;

[0082] S202. Analyze the correlation between industries using a preset industrial correlation model based on the production structure data in the urban industrial data to obtain industrial correlation analysis results;

[0083] S203: Analyze resource demand based on the predicted amount of exploitable and usable urban minerals and the results of industrial correlation analysis to obtain a predicted amount of resource demand for each city.

[0084] This embodiment uses a preset urban mineral prediction model to analyze the capacity data based on the capacity data and production structure data in the urban industrial data, and predicts the predicted amount of urban minerals that can be developed and utilized. The production structure data is analyzed using a preset industrial correlation model. Combined with the correlation between industries, the impact of industrial development on resource demand is analyzed to obtain industrial correlation analysis results. The predicted amount of urban minerals that can be developed and utilized is combined with the industrial correlation analysis results. The changes in urban mineral development and utilization and demand are comprehensively considered to calculate the predicted amount of resource demand for each city. Combined with the predicted amount of urban minerals that can be developed and utilized and the industrial correlation analysis results, the accuracy of the urban resource demand prediction results is improved, thereby improving the rationality and effectiveness of urban mineral resource scheduling.

[0085] In this embodiment, first, based on the capacity data in the pre-acquired urban industrial data, the urban mineral development and utilization amount is predicted through the preset urban mineral prediction model to obtain the predicted amount of urban mineral development and utilization; the capacity data includes but is not limited to the number of urban mineral production equipment in each city over the years, equipment model (reflecting the production capacity of the equipment), the average operating time of the equipment, the output per unit time and other data, the collected data is cleaned, duplicate, erroneous or incomplete data is removed, and the data is normalized to obtain the pre-processed capacity data; the urban mineral prediction model includes a machine learning model, an empirical model, etc. The urban mineral prediction model in this embodiment The model is an LSTM model. A large amount of historical production capacity data is used to train the LSTM model to obtain a pre-trained LSTM model. The pre-processed production capacity data is input into the pre-trained urban mineral prediction model. The model analyzes and calculates the data and outputs the predicted amount of urban minerals that can be developed and utilized in each city in a specific time period in the future (such as the next week or month). By predicting the amount of urban mineral development and utilization, it is possible to analyze and obtain the changing trend of the mineral supply capacity of each city. When it is found that the production capacity of a city cannot meet the demand in the future, it can be planned in advance to allocate corresponding urban mineral resources from other cities to avoid the obstruction of industrial development due to insufficient supply.

[0086] Specifically, based on the production structure data in the urban mineral information, the product supply relationship, technical correlation relationship, etc. between industries are analyzed, and the industrial correlation analysis results are obtained by analyzing the correlation between different industries; the production structure data includes the number of enterprises in each industry, enterprise scale, main product types, cooperation relationships between industries, etc.; the production structure data are analyzed using a preset industrial correlation model. The industrial correlation model includes but is not limited to an input-output analysis model. The input-output analysis model constructs an input-output table between industries, calculates the direct consumption coefficient and complete consumption coefficient between industries, and determines the degree of correlation between industries; for example, calculate the amount of steel and rubber directly consumed in the production of one car, and after considering all upstream links of the industrial chain, the amount of various urban mineral resources completely consumed in the production of one car; according to the model output results, the industrial correlation analysis results are sorted out.

[0087] Optimally, industrial linkage analysis can help identify changes in resource demand from the perspective of industrial development. When a city plans to develop new industries or upgrade existing ones, the results of this analysis can be used to predict changes in demand for mineral resources in the relevant cities. For example, if a city plans to vigorously develop the electronic information industry, industrial linkage analysis can reveal that this industry's development will significantly increase demand for rare metals (such as indium and gallium). This allows for pre-emptive planning of the supply and scheduling of these mineral resources, ensuring smooth industrial development while avoiding delays in industrial development or rising costs due to resource shortages.

[0088] Preferably, the predicted amount of urban mineral resources available for development and utilization obtained in step S201 is combined with the industrial correlation analysis results obtained in step S202. For each urban mineral resource in each city, the change in resource demand during industrial development as shown in the industrial correlation analysis results is combined with the change in the predicted amount of urban mineral resources available for development and utilization. When production capacity increases, the newly increased resource demand can be met to a certain extent. When production capacity decreases, the corresponding urban mineral resources are planned to be allocated from other cities. By combining the change in production capacity and the change in industrial demand, the accuracy and real-time performance of the resource demand forecast for each city can be improved, and the precise allocation of urban mineral resources can be achieved. This avoids the imbalance in resource supply caused by inaccurate demand forecasts.

[0089] Furthermore, based on the preset urban mineral information and the resource demand forecast, the urban mineral supply and demand tree is constructed with the city as the root node and the supply and demand information as the leaf nodes, including:

[0090] S301, analyzing urban mineral supply information and resource demand information among cities based on preset urban mineral information and the resource demand forecast;

[0091] S302, taking the city as the root node and the city's corresponding urban mineral supply information and resource demand information as leaf nodes;

[0092] S303. According to the geographical location relationship and supply and demand relationship between cities, a connection relationship is established between the corresponding root node and leaf node to construct a city mineral supply and demand tree.

[0093] This embodiment analyzes the urban mineral supply and demand situation between cities based on preset urban mineral information and the resource demand forecast, determines the supply and demand role and specific supply and demand data of each city in urban mineral transactions, creates a root node with the city as the core, and uses the supply and demand information as the leaf node to construct a tree structure. In combination with the geographical location relationship and supply and demand relationship between cities, corresponding connections are established between the root node and the leaf nodes to obtain an urban mineral supply and demand tree; by constructing the urban mineral supply and demand tree, the complex urban mineral supply and demand relationship between cities is intuitively displayed. By comprehensively considering the geographical location and supply and demand relationship, a reference is provided for the scheduling and planning of urban mineral resources. Based on the tree structure, low-cost and high-efficiency transportation routes can be quickly screened out.

[0094] In this embodiment, based on preset urban mineral information and the resource demand forecast, the supply and demand of urban mineral resources between cities are analyzed to determine the flow trends of urban mineral resources between cities, providing a data foundation for constructing a supply and demand tree. Urban mineral supply and demand information for each city is extracted from the preset urban mineral information and the resource demand forecast, including city name, urban mineral type, supply quantity, supply time, demand quantity, and demand time. For example, it is determined that City A can supply 100 tons of copper ore within the next month, while City B has a demand for 80 tons. This supply and demand information is categorized by city and urban mineral type, with different urban mineral supply information within the same city classified into one category and demand information into another. The resource supply direction is determined based on this supply and demand information. By analyzing this inter-city urban mineral supply and demand information, the supply and demand relationship of urban mineral resources across the entire region can be quickly understood, providing a basis for resource allocation decisions and avoiding blind allocation that results in resource waste or insufficient supply.

[0095] Preferably, the city is taken as the root node, and the urban mineral supply and demand information corresponding to the city is taken as the leaf node; in combination with the geographical location relationship and supply and demand relationship between cities, a connection is established between the root node and the leaf node to construct an urban mineral supply and demand tree; the urban mineral information includes the supply of the jth type of renewable resources in the tth year, the number of waste products entering the recycling and utilization system in the tth year, the proportion of obsolete products produced in the i-th year that are recycled in the t-th year, the proportion of technically feasible and economically reasonable renewable resource development and utilization of the jth type of resource in the recycled waste products, and the jth resource content in the product; the transportation route length is analyzed according to the geographical location information of the city, and in combination with the demand information, it is calculated whether the urban mineral transportation delivery time can meet the demand time. For cities with a supply and demand relationship and which can be delivered on time, a connection relationship is established between the corresponding root node and leaf node.

[0096] like Figure 2 As shown in the figure, the urban mineral capacity supplied by city A can meet the demand of city B, and city A can deliver the corresponding urban mineral resources before the demand time of city B. A directed edge is established between the supply leaf node of city A and the demand leaf node of city B, with the direction from the supplier to the demand side. In the figure, the supply leaf node of city A points to the demand leaf node of city B.

[0097] Preferably, by establishing connections considering geographical location and supply and demand relationships, the constructed urban mineral supply and demand tree can more accurately reflect the urban mineral scheduling process. When allocating urban mineral resources, the tree structure can quickly match resource allocation paths that meet the conditions, reduce transportation costs, improve the efficiency and feasibility of resource allocation, avoid choosing routes with excessively high transportation costs, and give priority to resource allocation paths between cities with close distances and convenient transportation.

[0098] Furthermore, in combination with the urban mineral supply and demand tree, a corresponding urban mineral movement path is matched for each city in the pre-constructed urban mineral knowledge graph to obtain a first movement path set, including:

[0099] S401, extracting features from leaf node information in the urban mineral supply and demand tree to construct a leaf node feature vector;

[0100] S402, extracting features from a pre-built urban mineral knowledge graph to construct a graph feature vector;

[0101] S403, combining the leaf node feature vector and the graph feature vector to generate a fusion feature vector;

[0102] S404: Match the corresponding urban mineral movement path for each city in the urban mineral knowledge graph according to the fused feature vector and the resource demand forecast, to obtain a first movement path set.

[0103] This embodiment extracts corresponding feature information from the urban mineral supply and demand tree and the pre-constructed urban mineral knowledge graph, constructs leaf node feature vectors and graph feature vectors, and fuses these two feature vectors to obtain a fused feature vector. Combined with the resource demand forecast of each city, constraints are extracted from the fused feature vector, and paths that meet the conditions are screened out in the knowledge graph to obtain a first set of mobile paths. By combining the urban mineral supply and demand tree and the urban mineral knowledge graph, urban mineral mobile paths that meet the demand can be quickly screened out, avoiding the limitations of planning paths based on single information. The planned urban mineral mobile paths are more in line with the actual resource allocation situation, thereby improving the accuracy and reliability of the resource mobile path planning process.

[0104] In this embodiment, based on the urban mineral supply and demand information in the leaf nodes of the urban mineral supply and demand tree, feature extraction is performed on the leaf node information to obtain a leaf node feature vector; first, the feature dimensions to be extracted are determined, including the type of urban mineral, the supply or demand quantity, the supply or demand time, the quality grade of the urban mineral, etc., and each leaf node of the urban mineral supply and demand tree is traversed. According to the determined feature dimensions, the corresponding feature values ​​are extracted from the leaf node information, and the extracted feature values ​​are arranged in order according to the determined feature dimensions to obtain a leaf node feature vector; by constructing the leaf node feature vector, the information in the urban mineral supply and demand tree can be converted into simple digital information.

[0105] like Figure 3 As shown in the figure, cities are taken as nodes, and the transportation convenience between cities is analyzed according to the transportation mode and transportation time between cities. The corresponding transportation convenience value is calculated by weighted average. The higher the transportation convenience value, the more convenient the transportation between cities. The transportation convenience value is used as the weight of the edge, and weighted edges are constructed between the corresponding cities. The cities are connected to construct an urban mineral knowledge graph.

[0106] Specifically, the pre-constructed urban mineral knowledge graph includes rich urban mineral information, such as the city's geographical location, transportation network, and the location of urban mineral reserve facilities. The knowledge graph is feature extracted to obtain a graph feature vector. By analyzing the structure of the urban mineral knowledge graph, the feature dimensions related to the urban mineral movement path are determined, the nodes and edges in the urban mineral knowledge graph are traversed, and the corresponding feature values ​​are extracted according to the determined feature dimensions. The extracted graph feature values ​​are arranged in the order of the determined dimensions to obtain a graph feature vector. By constructing a graph feature vector, valuable information for urban mineral movement path planning can be extracted from the complex urban mineral knowledge graph. In the path matching process, the geographical relationship between cities, traffic conditions and other factors are combined to make the planned path more in line with the actual situation, thereby improving the rationality and feasibility of path planning.

[0107] Preferably, the leaf node feature vector contains supply and demand information of urban minerals, and the graph feature vector contains environmental information such as geography and transportation between cities. The leaf node feature vector and the graph feature vector are combined to obtain a fused feature vector. Feature vector fusion methods include splicing fusion, weighted fusion, etc. This embodiment adopts a direct splicing method to splice the elements in the leaf node feature vector and the graph feature vector to obtain a fused feature vector. Through vector fusion, the supply and demand information can be combined with geographical transportation and other conditions to obtain a fused vector that can comprehensively describe the conditions related to the movement of urban minerals, providing richer and more accurate data basis for accurately matching the movement path of urban minerals in the knowledge graph.

[0108] Specifically, the fused feature vector is combined with the resource demand forecast, and the corresponding urban mineral movement path is matched for each city in the urban mineral knowledge graph to obtain a first movement path set; the fused feature vector integrates information such as urban mineral supply and demand and geographical transportation, and combined with the resource demand forecast of each city, searches for paths that meet the conditions in the urban mineral knowledge graph, analyzes the fused feature vector, extracts the time constraints and space constraints, and screens out paths that meet these constraints and can meet the urban resource demand in the knowledge graph, thereby obtaining the urban mineral movement path set corresponding to each city, and providing a specific route planning scheme for the actual allocation of urban mineral resources.

[0109] Furthermore, according to the fused feature vector and the resource demand forecast, a corresponding urban mineral movement path is matched for each city in the urban mineral knowledge graph to obtain a first movement path set, including:

[0110] S501, decomposing the fused feature vector to obtain time constraints and space constraints respectively;

[0111] S502. Filter out city nodes that meet time constraints and space constraints in the urban mineral knowledge graph to obtain a set of candidate cities;

[0112] S503. Based on the supply and demand information between cities, construct paths between cities in the candidate city set to obtain a candidate path set.

[0113] S504 , by analyzing the relationship between the urban mineral supply of the nodes in the path and the resource demand forecast of the corresponding city, the corresponding urban mineral movement paths are screened out from the candidate path set to obtain a first movement path set.

[0114] In this embodiment, the fused feature vector integrates urban mineral information and the resource demand forecast as well as geographical traffic and other data. By decomposing the fused feature vector, the constraints can be extracted to obtain the specific constraints on urban mineral transportation in time and space. According to the corresponding constraints, the corresponding city nodes are screened in the urban mineral knowledge graph. First, the features involved in time constraints and space constraints are determined. The time constraint-related features include urban mineral supply time, demand time, expected transportation time, etc.; the space constraint-related features include the straight-line distance between cities, actual traffic distance, transportation route type, etc. According to the determined constraint type and the corresponding feature position, the corresponding elements are extracted from the fused feature vector, the feature elements representing time are integrated to obtain time constraint information; the elements representing space are integrated to obtain space constraint information. By decomposing the fused feature vector to obtain the constraints, the feasible range of the urban mineral movement path can be determined, avoiding considering paths that do not meet the time and space requirements in the path screening process, reducing invalid calculations, and improving the efficiency of path matching.

[0115] Preferably, city nodes are screened in the knowledge graph according to time constraints and space constraints, and city nodes that meet both time constraints and space constraints are screened out to form a set of candidate cities; all city nodes in the urban mineral knowledge graph are traversed, and for each node, whether the time information corresponding to the node meets the time constraint conditions is determined; among the city nodes that have been screened by the time constraint, screening is performed according to the space constraint conditions to check whether the geographical location of the city node, the distance from other cities, the transportation route, etc. meet the space constraint conditions; after two rounds of screening by the time and space constraints, the remaining city nodes meet both the time constraint and the space constraint to form a set of candidate cities; by screening the city nodes that meet the constraint conditions, cities that do not meet the actual transportation conditions can be quickly excluded, unnecessary path construction and analysis can be reduced, and the efficiency and accuracy of path planning can be improved.

[0116] Specifically, based on the supply and demand information between the city nodes in the candidate city set, paths are constructed between the city nodes with supply and demand relationships to obtain candidate paths, and the connected paths are integrated to obtain a candidate path set; for each city node in the candidate city set, the urban mineral supply and demand relationship between it and other nodes is analyzed, and based on the supply and demand relationship obtained from the analysis, paths are constructed between the city nodes with supply and demand relationships, and the path construction steps are repeated to construct paths for all city nodes with supply and demand relationships in the candidate city set, and the constructed paths are summarized to obtain a candidate path set; by constructing the candidate path set, the supply and demand relationship and geographical traffic conditions between cities can be comprehensively considered, and a variety of urban mineral movement path plans can be generated, which provides rich choices for screening the optimal path, helps to compare paths from multiple angles, and thus screen out the optimal urban mineral transportation route, thereby improving the rationality and efficiency of resource allocation.

[0117] Preferably, by analyzing the relationship between the urban mineral supply of the nodes in the path and the resource demand forecast of the corresponding city, the candidate paths are screened, and paths that cannot meet the demand or have unreasonable supply (such as excessive supply causing resource waste) are excluded to obtain a first mobile path set that meets the actual supply demand and provides accurate route planning for the actual allocation of urban mineral resources; for each path in the candidate path set, the total urban mineral supply of all supply nodes on the path is calculated, and the calculated path supply is compared with the resource demand forecast of the path endpoint city to determine whether the supply can meet the demand. When the supply is less than the demand forecast, the path cannot meet the demand and is excluded; when the supply is greater than the demand forecast, further analysis is performed to determine whether there will be excessive supply, resulting in resource waste; finally, paths that meet the demand and do not cause resource waste are screened to form the first mobile path set; by screening out urban mineral mobile paths, the feasibility and rationality of the planned paths in the actual urban mineral resource allocation can be ensured, avoiding waste caused by insufficient resource supply or excessive resource supply due to unreasonable path planning, improving resource utilization efficiency, and ensuring the effective allocation and rational utilization of urban mineral resources.

[0118] Furthermore, the paths with path intersections are screened out from the first moving path set, and the paths are expanded based on the corresponding supply and demand relationship to obtain a second moving path set, including:

[0119] S601: Compare the paths in the first moving path set, select the paths with path intersections, and obtain a first path group;

[0120] S602: Based on the supply and demand relationship of the cities corresponding to the path intersections in the first path group, the paths are expanded with the path intersections as the center to obtain a second moving path set.

[0121] This embodiment compares and analyzes the paths in the first mobile path set. By extracting and comparing path node information, paths with path intersections are screened out to form a first path group. By screening the path intersections, key paths and nodes in the urban mineral transportation network can be located. For the cities corresponding to the path intersections in the first path group, the supply and demand relationship of the cities corresponding to the path intersections is analyzed, associated nodes are searched, associated paths are constructed, and the original paths are expanded to obtain a second mobile path set. By expanding the paths through the path intersections, the scattered paths can be integrated and extended, thereby optimizing the urban mineral movement paths to meet the needs of rational allocation of urban mineral resources.

[0122] In this embodiment, the paths in the first mobile path set are compared, and the paths with path intersections are screened out to obtain a first path group. The paths with intersections indicate that different urban mineral transportation routes converge at certain city nodes. The intersection cities have important geographical advantages and resource allocation potential. By screening out the paths with path intersections, key city nodes and path combinations can be combined to provide a basis for expanding the paths in combination with supply and demand relationships, thereby further optimizing the urban mineral mobile network and improving the flexibility and efficiency of resource allocation.

[0123] Preferably, the supply and demand relationship of the cities corresponding to the intersection of the paths is analyzed. The cities corresponding to the intersection of the paths are in key positions in the urban mineral transportation network, and their supply and demand relationship will affect the flow of urban mineral resources in the surrounding areas. According to the supply and demand relationship of the intersection cities, the paths are expanded with the intersection of the paths as the center, which can make full use of the resource advantages and geographical location advantages of the intersection cities, merge and extend the originally independent paths, and build a richer urban mineral transportation network by adding new path branches or connections, so that urban mineral resources can be allocated in a wider area, thereby improving the circulation efficiency and utilization benefits of resources.

[0124] Furthermore, according to the supply and demand relationship of the cities corresponding to the path intersections in the first path group, the paths are expanded with the path intersections as the center to obtain the second moving path set, including:

[0125] S701: Based on the supply and demand relationship of the cities corresponding to the path intersections in the first path group, search for nodes associated with the path intersections as a first node set;

[0126] S702: Associating nodes in the first node set with the path intersection as the center to obtain an associated path;

[0127] S703: Expand the paths in the first path group according to the associated paths to obtain a second moving path set.

[0128] In this embodiment, based on the path intersections in the first path group, the supply and demand relationships of the cities corresponding to the path intersections are analyzed, and nodes with supply and demand relationships with the path intersection cities are searched for as associated nodes. The nodes associated with the path intersections are then integrated to form a first node set. For each city corresponding to a path intersection in the first path group, the city's urban mineral supply and demand information is analyzed. Based on the structure and data characteristics of the urban mineral knowledge graph, a search rule for associated nodes is formulated. In this embodiment, a distance threshold is used (e.g., searching for city nodes within a 500-kilometer radius of the intersection city). A search is performed within the urban mineral knowledge graph according to the search rule, and city nodes that meet the criteria are screened by traversing the nodes and edges in the graph. The screened nodes are then combined into a first node set. By searching for nodes associated with the path intersections, cities that can participate in urban mineral resource allocation can be located, avoiding blind path expansion. By selecting nodes based on supply and demand relationships and actual transportation conditions, it is possible to ensure that the cities in the first node set and the intersection cities are feasible for resource allocation, laying the foundation for the construction of effective paths, reducing the construction of ineffective paths, and improving the efficiency and effectiveness of path expansion.

[0129] Preferably, there is an urban mineral supply and demand association between the city nodes in the first node set and the path intersection city, and the city nodes are mutually associated with each other with the intersection city as the center to construct an associated path; for each city node in the first node set, the geographical transportation conditions between it and the path intersection city and other nodes in the set are analyzed, including whether there are direct highway, railway, and water transportation routes, the capacity, transportation cost, transportation time and other information of the transportation routes, and according to the transportation conditions between the nodes and the urban mineral supply and demand relationship, priority is given to connecting routes with low transportation cost, strong transportation capacity and short transportation time, and according to the corresponding path connection method, with the path intersection as the center, connections are established between nodes in the urban mineral knowledge graph to form an associated path; by constructing an associated path in the urban mineral knowledge graph, resource circulation channels can be increased, and comprehensive consideration of transportation conditions and supply and demand relationships can ensure that the newly constructed path has high feasibility and practicality, increase the flexibility of urban mineral resource allocation, and reduce transportation costs and improve resource transportation efficiency.

[0130] Specifically, the paths in the first path group are expanded according to the associated paths, so that the originally relatively independent paths are interconnected at the intersection cities. By utilizing the resource hub role of the intersection cities, urban mineral resources can flow flexibly between multiple paths, improving the comprehensive allocation capability of resources, and the expanded paths are formed into a second mobile path set.

[0131] Preferably, for each path in the first path group, an analysis is performed to determine whether it can be connected to the associated path. The starting point, end point, and intermediate nodes of the path are examined to determine which associated paths can be effectively connected to the original path, as well as the location and method of the connection. For paths that can be connected, the associated path is added to the corresponding path in the first path group. The associated path can be used as a branch of the original path and extended from the intersection city. The associated path can also be merged with the original path to form a new, longer path. At the same time, during the path extension process, the node information, transportation method, transportation time, and other related data of the path are updated. After the path extension operation is completed for all paths in the first path group, duplicate paths in the expanded paths are removed to form a second mobile path set. By expanding the paths in the first path group, the urban mineral transportation network can be optimized. In combination with the associated paths, the circulation efficiency of resources in the network can be improved, the time and cost of resource allocation can be reduced, and the demand for urban mineral resources by different industries in the city can be met. At the same time, the second mobile path set provides more path options for path screening, and the corresponding optimal path can be selected according to actual conditions, further improving the rationality and efficiency of urban mineral resource allocation.

[0132] like Figure 4 As shown, there is a path intersection between path 1 and path 2. With the path intersection as the center, city node M and city node N are searched as associated nodes at a preset distance, and the supply and demand relationship between city node M and city node N is analyzed. A supply and demand relationship exists between city node M and city node N. A corresponding connection is established between city node M and city node N. Urban mineral transportation can be carried out between city node M and city node N, thereby expanding a new urban mineral transportation path.

[0133] Furthermore, the preset path screening model is used to screen the second mobile path set to obtain an urban mineral scheduling path, so as to perform high-precision migration and transformation of urban minerals, including:

[0134] S801: Analyze the urban mineral resource conversion rate of each path in the second mobile path set using a preset path screening model, and calculate a path score for each path;

[0135] S802: Filter out the path with the highest path score from the second moving path set as the urban mineral scheduling path to perform high-precision migration and transformation of urban minerals.

[0136] This embodiment uses a preset path screening model to analyze and evaluate each path in the second mobile path set from multiple dimensions such as urban mineral resource conversion rate, transportation cost, transportation time, and transportation risk. By determining evaluation indicators and weights, calculating the scores of each indicator and taking weighted summation, a path score for each path is obtained. By sorting the path scores, the path with the highest path score is selected as the urban mineral scheduling path, and the optimal scheduling path is selected from multiple candidate paths. The screened urban mineral scheduling path has a high urban mineral resource conversion rate, can reduce resource loss during transportation, improve the effective utilization of resources, and avoid resource waste.

[0137] In this embodiment, the urban mineral resource conversion rate of each path in the second mobile path set is analyzed through a preset path screening model. The urban mineral resource conversion rate reflects the effective utilization of urban mineral resources by the path during the transportation process. The conversion rate is calculated by analyzing the resource input and output of each path, and the path score is calculated in combination with other relevant factors. The higher the score, the better the performance of the path in terms of resource utilization, cost control, etc., thereby providing a basis for screening out the optimal urban mineral scheduling path.

[0138] Preferably, after calculating the scores of each path in the second mobile path set, the path with the highest score is selected as the urban mineral scheduling path by comparing the scores, and the urban mineral resources are scheduled according to the urban mineral scheduling path to realize the migration and transformation of urban minerals; the path with the highest score indicates that under comprehensive evaluation, it has better effects in terms of urban mineral resource conversion rate, transportation cost, transportation time and transportation risk, and can maximize the benefits of urban mineral resource migration and transformation between cities, provide the best route plan for the actual allocation of urban mineral resources, improve the efficiency and accuracy of resource allocation, ensure that urban mineral resources can flow between cities in the best way, and realize efficient utilization and reasonable allocation of resources.

[0139] Furthermore, the preset path screening model is used to analyze the urban mineral resource conversion rate of each path in the second mobile path set, and the path score of each path is calculated, including:

[0140] S901. Analyze the input and output of urban mineral resources at each node on each path according to the second moving path set;

[0141] S902. Calculate the urban mineral resource conversion rate of each path by combining the urban mineral resource input and output of all path nodes on each path;

[0142] S903: Calculate the path score of each path using a preset path screening model according to the urban mineral resource conversion rate.

[0143] In this embodiment, the flow of urban mineral resources on the transportation path is dynamically changing, and each path node involves the input and output of urban mineral resources. The input and output of urban mineral resources of each path node on each path in the second mobile path set are analyzed. For each path in the second mobile path set, all path nodes contained in the path are determined. According to the connection relationship and resource supply relationship between the path node and other nodes, the urban mineral resource input data and urban mineral resource output data are analyzed for each path node. The input includes the initial supply of the city, the supply to other cities during transportation, etc., and the output includes the delivery to the destination city, the consumption of other cities during transportation, etc. By analyzing the input and output of urban mineral resources at the path nodes, the flow trajectory of urban mineral resources on the path can be fully grasped, avoiding misjudgment of path resource utilization due to ignoring node resource changes, and making the path evaluation results more in line with the actual transportation situation.

[0144] Specifically, by calculating the ratio of output to input, the path resource utilization efficiency is obtained, which reflects the extent to which urban mineral resources are effectively utilized during the transportation process of this path. A higher conversion rate means less resource loss and high utilization during transportation. By calculating the urban mineral resource conversion rate, the path resource utilization is quantified, which can quickly identify paths with efficient and inefficient resource utilization, provide reference indicators for path screening, help optimize urban mineral resource transportation paths, and improve the overall resource utilization efficiency.

[0145] Preferably, a preset path screening model is used in combination with the urban mineral resource conversion rate to calculate the path score of each path, and other evaluation indicators in addition to the urban mineral resource conversion rate are determined, including transportation cost, transportation time, transportation risk, etc., and corresponding weights are assigned to each indicator based on the actual calculation accuracy requirements and the importance of each indicator to the path selection. For example, the weight of the urban mineral resource conversion rate is set to 40%, the weight of the transportation cost is set to 30%, the weight of the transportation time is set to 20%, and the weight of the transportation risk is set to 10%; a weighted calculation is performed through the path screening model, and based on the preset score assignment rules, the scores of each path on indicators such as transportation cost, transportation time, and transportation risk are calculated respectively, and the urban mineral resource conversion rate score, transportation cost score, transportation time score, and transportation risk score of each path are weightedly summed according to the corresponding weights to obtain the path score; the path score is calculated by the preset path screening model to realize multi-dimensional evaluation of the path, avoid the one-sidedness of single indicator evaluation, and comprehensively consider various factors affecting path selection. The screened path is more in line with actual transportation needs and resource allocation goals, thereby improving the overall efficiency of urban mineral resource transportation and reducing potential risks and costs in the transportation process.

[0146] Example 2

[0147] In this embodiment, if Figure 5 , provides an urban mineral migration and transformation analysis system for implementing the urban mineral migration and transformation analysis method, comprising:

[0148] The demand forecasting module predicts resource demand based on pre-acquired urban industrial data and a preset urban mineral forecasting model to obtain the resource demand forecast for each city;

[0149] An urban mineral supply and demand tree construction module is configured to construct an urban mineral supply and demand tree based on preset urban mineral information and the resource demand forecast, with the city as the root node and the supply and demand information as the leaf nodes; the urban mineral information includes the supply of the jth type of renewable resource in year t, the number of waste products entering the recycling system in year t, the proportion of obsolete products generated in year i that are recycled in year t, the proportion of renewable resource development and utilization of the jth type of resource in recycled waste products, and the content of the jth type of resource in the product;

[0150] A path matching module, combining the urban mineral supply and demand tree, matches the corresponding urban mineral movement path for each city in the pre-built urban mineral knowledge graph to obtain a first movement path set;

[0151] a path expansion module, which screens out paths with path intersections from the first moving path set, and expands the paths based on corresponding supply and demand relationships to obtain a second moving path set;

[0152] The path screening module uses a preset path screening model to perform path screening in the second mobile path set to obtain an urban mineral scheduling path to perform high-precision migration and transformation of urban minerals.

[0153] In this embodiment, the demand forecasting module analyzes the production capacity data based on the pre-acquired urban industrial data and the preset urban mineral forecasting model to predict the predicted amount of urban mineral exploitation and utilization, and at the same time uses the industrial association model to analyze the correlation between industries, and combines the predicted amount of urban mineral exploitation and utilization and the correlation between industries to analyze the predicted amount of resource demand for each city, providing demand data for resource allocation planning; the urban mineral supply and demand tree construction module analyzes the urban mineral supply and demand information between cities, takes the city as the root node, and the specific supply and demand information as the leaf node, establishes connections based on the geographical location relationship and supply and demand relationship between cities, and constructs an urban mineral supply and demand tree reflecting the urban mineral supply and demand network, which can show the role and relationship of cities in urban mineral allocation and provide a basis for urban mineral resource scheduling.

[0154] Specifically, the path matching module is based on the resource demand forecast obtained by the demand forecast module and the supply and demand tree constructed by the urban mineral supply and demand tree construction module, and is combined with the pre-constructed urban mineral knowledge graph to extract features of the leaf node information of the supply and demand tree and the knowledge graph information respectively, and generate a fusion feature vector. According to the time constraint and space constraint information in the fusion feature vector, the matching urban mineral movement path is screened out in the knowledge graph to obtain the first movement path set, and a preliminary feasible urban mineral transportation route is obtained; the path expansion module screens out the paths with path intersections based on the first movement path set obtained by the path matching module, and performs the urban mineral transportation route corresponding to the path intersection. The supply and demand relationship is analyzed, the related nodes are searched out, the related paths are constructed, and the paths in the first path group are expanded to obtain a second mobile path set. The resource advantages and geographical advantages of the cities at the intersection of the paths are utilized to increase the options for urban mineral transportation paths; the path screening module uses a preset path screening model to analyze each path in the second mobile path set obtained by the path expansion module, calculate the path score of each path, and select the path with the highest score as the urban mineral scheduling path, providing the optimal urban mineral scheduling plan for the migration and transformation of urban minerals, ensuring that resources can flow efficiently between cities, and realizing the optimal allocation of urban mineral resources.

[0155] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for analyzing the migration and transformation of urban mineral resources, characterized in that: include: Based on the pre-acquired urban industrial data, the resource demand is predicted using the preset urban mineral forecasting model to obtain the resource demand forecast for each city; Based on the preset urban mineral information and the resource demand forecast, an urban mineral supply and demand tree is constructed with the city as the root node and the supply and demand information as the leaf nodes; the urban mineral information includes the supply of the jth type of renewable resource in year t, the number of waste products entering the recycling system in year t, the proportion of obsolete products generated in year i that are recycled in year t, the proportion of renewable resource development and utilization of the jth type of resource in recycled waste products, and the content of the jth type of resource in the product; In combination with the urban mineral supply and demand tree, a corresponding urban mineral movement path is matched for each city in the pre-constructed urban mineral knowledge graph to obtain a first movement path set; Filtering out paths with path intersections from the first moving path set, and expanding the paths based on corresponding supply and demand relationships to obtain a second moving path set; Through the preset path screening model, path screening is performed in the second mobile path set to obtain the urban mineral scheduling path, so as to perform high-precision migration and transformation of urban minerals.

2. The urban mineral migration and transformation analysis method according to claim 1, characterized in that: The resource demand is predicted based on the pre-acquired urban industrial data using a preset urban mineral forecasting model to obtain the resource demand forecast for each city, including: Based on the capacity data in the pre-acquired urban industrial data, the urban mineral development and utilization volume is predicted through the preset urban mineral prediction model to obtain the predicted amount of urban mineral development and utilization; According to the production structure data in the urban industrial data, the correlation between industries is analyzed through the preset industrial correlation model to obtain the industrial correlation analysis results; Combined with the predicted amount of exploitable and utilizable urban mineral resources and the results of industrial correlation analysis, the resource demand is analyzed to obtain the predicted amount of resource demand for each city.

3. The urban mineral migration and transformation analysis method according to claim 1, characterized in that: The urban mineral supply and demand tree is constructed based on the preset urban mineral information and the resource demand forecast, with the city as the root node and the supply and demand information as the leaf nodes, including: Analyzing urban mineral supply information and resource demand information among cities based on preset urban mineral information and the resource demand forecast; The city is the root node, and the city's corresponding urban mineral supply information and resource demand information are the leaf nodes; According to the geographical location relationship and supply and demand relationship between cities, a connection relationship is established between the corresponding root nodes and leaf nodes to construct an urban mineral supply and demand tree.

4. The urban mineral migration and transformation analysis method according to claim 1, characterized in that: Combined with the urban mineral supply and demand tree, the corresponding urban mineral movement path is matched for each city in the pre-built urban mineral knowledge graph to obtain a first movement path set, including: Extract features from leaf node information in the urban mineral supply and demand tree and construct leaf node feature vectors; Extract features from the pre-built urban mineral knowledge graph and construct graph feature vectors; Combining the leaf node feature vector and the graph feature vector to generate a fused feature vector; According to the fused feature vector and the resource demand forecast, a corresponding urban mineral movement path is matched for each city in the urban mineral knowledge graph to obtain a first movement path set.

5. The urban mineral migration and transformation analysis method according to claim 4, characterized in that: According to the fused feature vector and the resource demand forecast, the corresponding urban mineral movement path is matched for each city in the urban mineral knowledge graph to obtain a first movement path set, including: Decompose the fused feature vector to obtain time constraints and spatial constraints respectively; Filter out city nodes that meet time and space constraints in the urban mineral knowledge graph to obtain a set of candidate cities; According to the supply and demand information between cities, paths are constructed between cities in the candidate city set to obtain a candidate path set; By analyzing the relationship between the urban mineral supply of the nodes in the path and the predicted resource demand of the corresponding city, the corresponding urban mineral movement paths are screened out from the candidate path set to obtain the first movement path set.

6. The urban mineral migration and transformation analysis method according to claim 1, characterized in that: The method of screening out paths with path intersections from the first moving path set and expanding the paths based on corresponding supply and demand relationships to obtain a second moving path set includes: Comparing the paths in the first moving path set, screening out the paths with path intersections, and obtaining a first path group; According to the supply and demand relationship of the cities corresponding to the path intersections in the first path group, the paths are expanded with the path intersections as the center to obtain the second moving path set.

7. The urban mineral migration and transformation analysis method according to claim 6, characterized in that: The second moving path set is obtained by expanding the paths with the path intersections as the center according to the supply and demand relationship of the cities corresponding to the path intersections in the first path group, including: According to the supply and demand relationship of the cities corresponding to the path intersections in the first path group, nodes associated with the path intersections are searched as the first node set; Taking the path intersection as the center, associate the nodes in the first node set to obtain an associated path; The paths in the first path group are expanded according to the associated paths to obtain a second moving path set.

8. The urban mineral migration and transformation analysis method according to claim 1, characterized in that: The method of screening the second mobile path set by using a preset path screening model to obtain an urban mineral scheduling path for high-precision migration and transformation of urban minerals includes: By using a preset path screening model, the urban mineral resource conversion rate of each path in the second mobile path set is analyzed, and a path score of each path is calculated; The path with the highest path score is selected from the second moving path set as the urban mineral scheduling path to perform high-precision migration and transformation of urban minerals.

9. The urban mineral migration and transformation analysis method according to claim 8, characterized in that: The preset path screening model is used to analyze the urban mineral resource conversion rate of each path in the second mobile path set, and the path score of each path is calculated, including: Analyzing the input and output of urban mineral resources at each node on each path according to the second set of moving paths; Combining the urban mineral resource input and output of all path nodes on each path, the urban mineral resource conversion rate of each path is calculated; According to the urban mineral resource conversion rate, the path score of each path is calculated through a preset path screening model.

10. An urban mineral migration and transformation analysis system, characterized in that: A method for analyzing the migration and transformation of urban minerals according to any one of claims 1 to 9, comprising: The demand forecasting module predicts resource demand based on pre-acquired urban industrial data and a preset urban mineral forecasting model to obtain the resource demand forecast for each city; An urban mineral supply and demand tree construction module is configured to construct an urban mineral supply and demand tree based on preset urban mineral information and the resource demand forecast, with the city as the root node and the supply and demand information as the leaf nodes; the urban mineral information includes the supply of the jth type of renewable resource in year t, the number of waste products entering the recycling system in year t, the proportion of obsolete products generated in year i that are recycled in year t, the proportion of renewable resource development and utilization of the jth type of resource in recycled waste products, and the content of the jth type of resource in the product; A path matching module, combining the urban mineral supply and demand tree, matches the corresponding urban mineral movement path for each city in the pre-built urban mineral knowledge graph to obtain a first movement path set; a path expansion module, which screens out paths with path intersections from the first moving path set, and expands the paths based on corresponding supply and demand relationships to obtain a second moving path set; The path screening module uses a preset path screening model to perform path screening in the second mobile path set to obtain an urban mineral scheduling path to perform high-precision migration and transformation of urban minerals.

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