A method and system for planning a transportation path of a chemical fiber cake

Abstract

The application discloses a kind of transportation path planning method and system of chemical fiber cake, it is related to transportation path planning technical field, including the characteristic data of all transportation terminal of the chemical fiber cake cake is collected, use degree analysis is carried out, the use rate of chemical fiber cake transportation terminal is determined;According to the quantity of the chemical fiber cake cake needing transportation, the use rate of chemical fiber cake transportation terminal is carried out occupancy rate analysis, and the predicted occupancy rate of chemical fiber cake transportation terminal is determined.The application compares the use rate of all transportation terminal of the chemical fiber cake cake, determines the warehouse with higher use rate, then, the chemical fiber cake is stored by the warehouse with higher use rate, can reduce the storage difficulty and the difficulty of taking of the chemical fiber cake cake, in addition, in order to avoid collision of the chemical fiber cake cake in the process of transportation, the space between the transportation starting point and the transportation terminal of the chemical fiber cake cake is path planned, the path suitable for transporting the chemical fiber cake cake is selected, the probability of collision in the process of transporting the chemical fiber cake cake is reduced.

Description

Technical Field

[0001] This invention relates to the field of transportation route planning technology, specifically to a method and system for planning the transportation route of chemical fiber cakes. Background Technology

[0002] Chemical fiber filament cakes are a type of packaged form in the production of chemical fiber filaments. They refer to a cake-shaped package formed by winding chemical fiber filaments onto a paper or plastic core using a high-speed winding machine. They are hollow cylindrical in shape, typically 300-450mm in diameter, and weigh approximately 8-15kg, facilitating subsequent transportation, storage, and textile processing.

[0003] There are multiple storage warehouses for chemical fiber cakes. Some warehouses are convenient for storage and retrieval, while others are not. If the storage locations of the chemical fiber cakes are not compared before storage, it may increase the difficulty of retrieving the chemical fiber cakes later. Summary of the Invention

[0004] To address the aforementioned technical problems, a method and system for planning the transportation path of chemical fiber cakes are provided. This technical solution solves the problem mentioned in the background art that storing chemical fiber cakes without comparing their storage locations may increase the difficulty of retrieving them later.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A method for planning the transportation path of chemical fiber cakes, comprising: Obtain all the transportation destinations of the chemical fiber cake, collect the characteristic data of all the transportation destinations of the chemical fiber cake, perform usage analysis, and determine the usage rate of the transportation destinations of the chemical fiber cake. Obtain the quantity of chemical fiber cakes that need to be transported, and perform a occupancy analysis on the utilization rate of the chemical fiber cake transportation destination based on the quantity of chemical fiber cakes that need to be transported, and determine the predicted occupancy rate of the chemical fiber cake transportation destination. A comparative analysis of the occupancy rates of chemical fiber filament cakes at the transportation endpoints was conducted to determine the target transportation endpoints for chemical fiber filament cakes. Path analysis is performed on the target transportation starting point and target transportation destination of the chemical fiber cake to determine the transportation path of the chemical fiber cake; The process of comparing and analyzing the occupancy rate of the chemical fiber cakes at the transportation endpoints to determine the target transportation endpoints specifically includes the following steps: If the occupancy rate of the chemical fiber cake transportation endpoint is greater than or equal to the set occupancy rate threshold, the chemical fiber cake transportation endpoint is fully loaded and cannot completely store the chemical fiber cakes that need to be transported. If the occupancy rate of the chemical fiber cake transportation endpoint is less than the set occupancy rate threshold, based on the minimum value function, the occupancy rates of the chemical fiber cake transportation endpoints that are less than the set occupancy rate threshold are sorted, and the chemical fiber cake transportation endpoint corresponding to the minimum occupancy rate of the chemical fiber cake transportation endpoint is set as the target transportation endpoint of the chemical fiber cake.

[0006] Preferably, the steps of obtaining all the transportation destinations of the chemical fiber cake, collecting feature data of all the transportation destinations of the chemical fiber cake, performing usage analysis, and determining the usage rate of the transportation destinations of the chemical fiber cake specifically include the following steps: Based on the transportation destination of chemical fiber cakes, the location matching process of the factory building design drawings in the database system is performed to determine the location of all transportation destinations of chemical fiber cakes. Based on the destination locations of all chemical fiber shreds, the database system is used to retrieve and process data to obtain all data on the destination locations of the chemical fiber shreds. Data collection and processing are performed on all data at the transportation endpoints of chemical fiber cakes to obtain characteristic data of all transportation endpoints of chemical fiber cakes. The characteristic data includes the usage frequency, usage time and full load rate of the transportation endpoints. Based on all data from the transportation endpoints of chemical fiber cakes, machine learning is used to construct a transportation endpoint utilization analysis unit. Based on the transportation endpoint utilization analysis unit, the utilization rate of all transportation endpoints of chemical fiber cakes is analyzed according to the characteristic data of all transportation endpoint locations.

[0007] Preferably, the step of constructing a transportation destination utilization analysis unit using machine learning based on all data from the transportation destination of chemical fiber cakes specifically includes the following steps: Based on all data from the transportation endpoints of chemical fiber cakes, a set of training data feature information was collected, and the ratio of the time of use of the transportation endpoints and the frequency of use of the transportation endpoints under different training data was collected to mark and obtain a set of transportation endpoint usage rates for training data. Machine learning was used to construct a terminal transportation utilization analysis unit by setting the feature data of the terminal transportation destination and the utilization rate of the terminal transportation destination of chemical fiber cakes as input features and output features, respectively. Based on the set of feature information of training data and the set of transportation destination utilization rate of training data, the transportation destination utilization rate analysis unit is iteratively trained and validated until convergence.

[0008] Preferably, the steps of obtaining the quantity of chemical fiber cakes to be transported, and analyzing the utilization rate of the chemical fiber cakes at the transportation destination based on the quantity of chemical fiber cakes to be transported, to determine the predicted occupancy rate of the chemical fiber cakes at the transportation destination, specifically include the following steps: The historical management logs of the starting point for transporting chemical fiber cakes are read and processed to obtain the quantity of chemical fiber cakes that need to be transported. A comparative analysis was conducted on the utilization rate of the transportation endpoints of chemical fiber cakes to determine the transportation endpoints of chemical fiber cakes that meet the usage standards. Based on the quantity of chemical fiber cakes that need to be transported, a occupancy analysis is conducted on the transportation destinations of chemical fiber cakes that meet the usage standards to determine the predicted occupancy rate of the transportation destinations of chemical fiber cakes.

[0009] Preferably, the comparative analysis of the utilization rate of the chemical fiber filament cake transportation endpoints to determine the chemical fiber filament cake transportation endpoints that meet the usage standards specifically includes the following steps: The utilization rate at the destination of chemical fiber cake transportation and the set utilization rate threshold are judged and processed. If the utilization rate of the fiber filament cake transportation endpoint is greater than or equal to the set utilization rate threshold, the utilization rate of the fiber filament cake transportation endpoint meets the standard, and it is set as a fiber filament cake transportation endpoint that meets the usage standard. If the utilization rate of the chemical fiber cake transportation endpoint is less than the set utilization rate threshold, the utilization rate of the chemical fiber cake transportation endpoint does not meet the standard and cannot be set as a chemical fiber cake transportation endpoint that meets the usage standard.

[0010] Preferably, the step of analyzing the occupancy rate of the chemical fiber cakes at the transportation destinations that meet the usage standards based on the quantity of chemical fiber cakes to be transported, and determining the predicted occupancy rate of the chemical fiber cakes at the transportation destinations, specifically includes the following steps: Based on the standard-compliant chemical fiber cake transportation endpoint, all data of the chemical fiber cake transportation endpoint are retrieved and processed to obtain all data of the standard-compliant chemical fiber cake transportation endpoint. Information extraction and processing are performed on all data from the transportation destination of chemical fiber cakes that meet the usage standards to obtain the full load quantity and the quantity already loaded at the transportation destination of chemical fiber cakes that meet the usage standards. The full load and loaded quantity of chemical fiber cakes at the transportation destination that meets the usage standards, the full load and the quantity of chemical fiber cakes to be transported at the transportation destination that meets the usage standards are calculated and processed to obtain the space occupancy rate and space non-occupancy rate of the transportation destination that meets the usage standards. The occupancy rate and unoccupancy rate of the space at the transportation destination of the chemical fiber cake that meets the usage standards are summed to obtain the predicted occupancy rate of the transportation destination of the chemical fiber cake.

[0011] Preferably, the process of performing path analysis on the target transportation starting point and target transportation destination of the chemical fiber cake to determine the transportation path of the chemical fiber cake specifically includes the following steps: Based on lidar, data is collected and analyzed on the space between the target transportation starting point and the target transportation endpoint of the chemical fiber cake to construct a gridded path network. Path planning is performed on the gridded path network to determine the transportation path of the chemical fiber cake.

[0012] Preferably, the step of collecting and analyzing data on the space between the target transportation starting point and the target transportation destination of the chemical fiber cake based on lidar, and constructing a gridded path network, specifically includes the following steps: Based on lidar, data is collected and processed in the space between the target transportation starting point and the target transportation endpoint of the chemical fiber cake to obtain lidar point cloud. The sensor coordinate system of the lidar point cloud is transformed to obtain the global spatial coordinate system between the start and end points; Mark the obstacles between the target transportation start point and the target transportation end point of the chemical fiber cake in the global spatial coordinate system between the start and end points; The dimensions of the transport equipment for chemical fiber cakes are determined by measuring and processing the equipment. The dimensions of the transportation equipment are designed as a single grid, and the spatial global coordinate system between the origin and destination is divided by a single grid to obtain a gridded path network.

[0013] Preferably, the step of performing path planning processing on the gridded path network to determine the transportation path of the chemical fiber cake specifically includes the following steps: Information extraction and processing are performed on the gridded path network to determine areas not occupied by obstacles; Perform connectivity analysis on areas not occupied by obstacles to determine the paths through which transport equipment can pass. The path of the transport equipment can be calculated and processed to obtain the path length data of the transport equipment; Based on the minimum value function, the passable path length data of transportation equipment is sorted to determine the minimum value of the passable path length data of transportation equipment; The path corresponding to the minimum value of the path length data that the transportation equipment can pass through is set as the transportation path of the chemical fiber cake.

[0014] Furthermore, a transportation path planning system for chemical fiber cakes is proposed to implement the transportation path planning method for chemical fiber cakes as described above, including: The path planning terminal is used to control each module to perform destination selection and path planning for the chemical fiber cakes to be transported, and to determine the transportation path of the chemical fiber cakes. The path planning terminal is also used to control data transmission and information interaction between the modules. The database system is used to store all data related to the factory design drawings and the final destination of the chemical fiber cake transportation. The feature data acquisition module is used to collect and process all data of the transportation destination of the chemical fiber cake to obtain feature data of all transportation destinations of the chemical fiber cake. The transportation destination utilization rate analysis unit is used to analyze the utilization rate of all transportation destinations of the chemical fiber cake and obtain the utilization rate of the transportation destinations of the chemical fiber cake. The occupancy calculation module is used to perform occupancy analysis on the transportation destination of chemical fiber cakes that meet the usage standards, and to determine the predicted occupancy of the transportation destination of chemical fiber cakes. The target transportation destination screening module is used to compare and analyze the occupancy rate of chemical fiber cake transportation destinations to determine the target transportation destination of the chemical fiber cake. The path network generation module is used to perform spatial division processing on the space between the target transportation starting point and the target transportation ending point of the chemical fiber cake to generate a gridded path network. The transportation route determination module is used to perform path planning processing on the gridded path network to determine the transportation route of the chemical fiber cake.

[0015] Compared with the prior art, the present invention provides a method and system for planning the transportation path of chemical fiber cakes, which has the following beneficial effects: This invention compares the utilization rates of all transport destinations for synthetic fiber cakes to identify warehouses with high utilization rates. By storing the synthetic fiber cakes in these warehouses, the storage and retrieval difficulties can be reduced. Furthermore, to prevent collisions during transport, path planning is performed between the transport start and end points to select suitable routes for transporting the synthetic fiber cakes, thereby reducing the probability of collisions during transport. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating steps S100-S400 in the method for planning the transportation path of chemical fiber cakes proposed in this invention. Figure 2 This is a structural block diagram of a transportation path planning system for chemical fiber cakes proposed in this invention. Detailed Implementation

[0017] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0018] Reference Figure 1 As shown, a method for planning the transportation path of chemical fiber cakes includes: S100. Obtain all the transportation destinations of the chemical fiber cake, collect the characteristic data of all the transportation destinations of the chemical fiber cake, perform usage analysis, and determine the usage rate of the transportation destinations of the chemical fiber cake. S200. Obtain the quantity of chemical fiber cakes to be transported, and perform a occupancy analysis on the utilization rate of the chemical fiber cake transportation destination based on the quantity of chemical fiber cakes to be transported, and determine the predicted occupancy rate of the chemical fiber cake transportation destination. S300. Compare and analyze the predicted occupancy rate of the chemical fiber cake at the transportation destination to determine the target transportation destination of the chemical fiber cake. S400. Perform path analysis on the target transportation starting point and target transportation destination of the chemical fiber cake to determine the transportation path of the chemical fiber cake. Step S300, which involves comparing and analyzing the predicted occupancy rate of the chemical fiber filament cake at the transportation destination to determine the target transportation destination of the chemical fiber filament cake, specifically includes the following steps: S301. If the predicted occupancy rate of the chemical fiber cake transportation destination is greater than or equal to the set occupancy rate threshold, the chemical fiber cake transportation destination is fully loaded and cannot completely store the chemical fiber cakes that need to be transported. S302. If the predicted occupancy rate of the chemical fiber cake transportation destination is less than the set occupancy rate threshold, based on the minimum value function, sort the predicted occupancy rates of the chemical fiber cake transportation destinations that are less than the set occupancy rate threshold, and set the chemical fiber cake transportation destination corresponding to the minimum predicted occupancy rate of the chemical fiber cake transportation destination as the target transportation destination of the chemical fiber cake. In this embodiment, if the predicted occupancy rate of the chemical fiber filament cake transportation destination is greater than the set occupancy rate threshold (i.e., the warehouse's full load rate, specifically 100%), it means that the warehouse cannot store all the chemical fiber filament cakes. Therefore, the target transportation destination of the chemical fiber filament cakes needs to be selected from the predicted occupancy rates of the chemical fiber filament cake transportation destinations that are less than the set occupancy rate threshold. In order to balance the loading rate of each warehouse, the chemical fiber filament cake transportation destination corresponding to the minimum predicted occupancy rate of the chemical fiber filament cake transportation destination is set as the target transportation destination of the chemical fiber filament cakes. Those skilled in the art will understand that factories typically have multiple warehouses for storing chemical fiber cakes. However, some warehouses are located in remote areas, such as those far from the factory gate, while others are conveniently located for transporting chemical fiber cakes, such as those close to the factory gate. Therefore, to facilitate the storage of chemical fiber cakes, it is necessary to screen these warehouses (i.e., the destination for transporting chemical fiber cakes). However, to avoid collisions during transport, it is necessary to plan the path between the origin and destination of the chemical fiber cakes, so that the chemical fiber cakes can avoid obstacles during transport and reduce the probability of collisions.

[0019] Step S100: Obtain all transportation destinations of the chemical fiber cake, collect feature data of all transportation destinations of the chemical fiber cake, perform usage analysis, and determine the usage rate of the transportation destinations of the chemical fiber cake. This specifically includes the following steps: S101. Based on the transportation destination of chemical fiber cakes, perform location matching processing on the factory design drawings in the database system to determine the location of all transportation destinations of chemical fiber cakes. S102. Based on the locations of all transportation destinations of the chemical fiber cake, perform data retrieval processing on the database system to obtain all data of the transportation destinations of the chemical fiber cake. S103. Collect and process all data from the transportation endpoints of the chemical fiber filament cakes to obtain characteristic data of all transportation endpoints of the chemical fiber filament cakes, wherein the characteristic data includes the usage frequency, usage time and full load rate of the transportation endpoints. S104. Based on all the data at the transportation endpoint of the chemical fiber cake, machine learning is used to construct a transportation endpoint utilization analysis unit. S105. Based on the transportation destination utilization analysis unit, the utilization rate of all transportation destinations of the chemical fiber cake is analyzed according to the characteristic data of all transportation destinations of the chemical fiber cake, and the utilization rate of the transportation destinations of the chemical fiber cake is obtained. Understandably, some warehouses are located in remote areas. Therefore, it is necessary to screen the utilization rate of the chemical fiber filament cake transportation endpoints to identify frequently used warehouses. Frequently used warehouses are those that are convenient for storing and retrieving chemical fiber filament cakes. Thus, by calculating the utilization rate of the chemical fiber filament cake transportation endpoints, the target transportation endpoints for chemical fiber filament cakes can be determined.

[0020] Specifically, step S104, which involves constructing a transportation destination utilization analysis unit using machine learning based on all data from the transportation destination of chemical fiber cakes, includes the following steps: S1041. Based on all data of the transportation endpoint of chemical fiber cake, collect the training data feature information set, and collect the ratio of the time of use of the transportation endpoint and the frequency of use of the transportation endpoint under different training data, and mark and obtain the training data transportation endpoint usage rate set. S1042. Using machine learning, the feature data of the destination of chemical fiber cake transportation and the utilization rate of the destination of chemical fiber cake transportation are set as input features and output features, respectively, to construct a transportation destination utilization rate analysis unit. S1043. Based on the set of feature information of training data and the set of transportation destination utilization rate of training data, iteratively train and verify the transportation destination utilization rate analysis unit until convergence. In this embodiment, some warehouses for chemical fiber cakes have a relatively high usage rate during a certain period, but a low usage rate at other times. These warehouses may be warehouses with high usage rates or warehouses with low usage rates. For example, when other warehouses need maintenance and cannot store chemical fiber cakes, the usage rate of some warehouses may increase. However, when the maintenance of those warehouses is completed, the usage rate of these warehouses will decrease again. Therefore, it is necessary to train the transportation endpoint usage rate analysis unit by using the usage frequency and usage time of the transportation endpoint, so that the transportation endpoint usage rate analysis unit can accurately screen out warehouses with high usage rates. In addition, the full load rate of the chemical fiber cake transportation endpoint is also one of the parameters for evaluating the utilization rate of the chemical fiber cake transportation endpoint. Therefore, the transportation endpoint utilization rate analysis unit is trained by using the usage frequency, usage time, and full load rate of the transportation endpoint.

[0021] Example 2 Step S200: Obtain the quantity of chemical fiber cakes to be transported, and perform a occupancy analysis on the utilization rate of the chemical fiber cake transportation destination based on the quantity of chemical fiber cakes to be transported. The specific steps to determine the predicted occupancy rate of the chemical fiber cake transportation destination include the following: S201. Read and process the historical management log of the starting point of the chemical fiber cake transportation to obtain the quantity of chemical fiber cakes to be transported. S202. Compare and analyze the usage rate of the transportation endpoints of chemical fiber cakes to determine the transportation endpoints of chemical fiber cakes that meet the usage standards. S203. Based on the quantity of chemical fiber cakes that need to be transported, conduct a occupancy analysis of the transportation destinations of chemical fiber cakes that meet the usage standards, and determine the predicted occupancy of the transportation destinations of chemical fiber cakes. Step S202, which involves comparing and analyzing the utilization rate of the chemical fiber cake transportation endpoints to determine the chemical fiber cake transportation endpoints that meet the usage standards, specifically includes the following steps: S2021, The utilization rate of the chemical fiber cake at the transportation endpoint and the set utilization rate threshold are judged and processed; S2022. If the utilization rate of the chemical fiber cake transportation endpoint is greater than or equal to the set utilization rate threshold, the utilization rate of the chemical fiber cake transportation endpoint meets the standard, and it is set as the chemical fiber cake transportation endpoint that meets the usage standard. S2023. If the utilization rate of the chemical fiber cake transportation endpoint is less than the set utilization rate threshold, the utilization rate of the chemical fiber cake transportation endpoint does not meet the standard and cannot be set as a chemical fiber cake transportation endpoint that meets the usage standard. Understandably, the utilization rate of the destination for transporting chemical fiber cakes can determine the usage of these warehouses. In order to facilitate the storage and retrieval of chemical fiber cakes in the future, it is necessary to screen the destinations for transporting chemical fiber cakes. Warehouses with low utilization rates at the destinations for transporting chemical fiber cakes are generally inconvenient for storing and retrieving chemical fiber cakes, so they need to be eliminated.

[0022] Specifically, step S203, based on the quantity of chemical fiber cakes to be transported, involves analyzing the occupancy rate of the transportation destinations for chemical fiber cakes that meet the usage standards, and determining the predicted occupancy rate of the transportation destinations for chemical fiber cakes. This includes the following steps: S2031. Based on the chemical fiber filament cake transportation endpoint that conforms to the usage standard, perform data retrieval processing on all data of the chemical fiber filament cake transportation endpoint to obtain all data of the chemical fiber filament cake transportation endpoint that conforms to the usage standard. S2032. Extract and process all data from the destination of the chemical fiber cake transportation that meets the usage standards to obtain the full load quantity and the quantity already loaded at the destination of the chemical fiber cake transportation that meets the usage standards. S2033. Calculate and process the full load and loaded quantity of chemical fiber cakes at the transportation destination that meets the usage standards, the full load and the quantity of chemical fiber cakes to be transported at the transportation destination that meets the usage standards, and obtain the space occupancy rate and space non-occupancy rate of the transportation destination that meets the usage standards. S2034. The space occupancy rate and space non-occupancy rate of the chemical fiber cake transportation destination that meet the usage standards are summed and calculated to obtain the predicted occupancy rate of the chemical fiber cake transportation destination. In this embodiment, some warehouses with high utilization rates have already stored a certain number of chemical fiber cakes and cannot store all the chemical fiber cakes that need to be stored. Therefore, the predicted occupancy rate of the chemical fiber cake transportation destination is determined by calculating the full load and loaded quantity of chemical fiber cakes that meet the usage standards based on the number of chemical fiber cakes that need to be transported. Here, the unoccupied space rate refers to the space that the number of chemical fiber cakes to be transported needs to occupy. For example, if the space occupancy rate of a warehouse is 60% and the unoccupied space rate is 55%, then the predicted occupancy rate of the chemical fiber cake transportation destination is 115%, which exceeds the full load rate of the warehouse. Therefore, it is impossible to store all the chemical fiber cakes, and it is necessary to select other warehouses to store the chemical fiber cakes.

[0023] Example 3 Step S400: Perform path analysis on the target transportation starting point and target transportation destination of the chemical fiber cake to determine the transportation path of the chemical fiber cake. This specifically includes the following steps: S401. Based on lidar, data is collected and analyzed on the space between the target transportation starting point and the target transportation endpoint of the chemical fiber cake to construct a gridded path network. S402. Perform path planning processing on the gridded path network to determine the transportation path of the chemical fiber cake.

[0024] Specifically, step S401, which involves collecting and analyzing data on the space between the target transportation starting point and the target transportation endpoint of the chemical fiber cake based on lidar, and constructing a gridded path network, includes the following steps: S4011. Based on lidar, data acquisition and processing are performed on the space between the target transportation starting point and the target transportation ending point of the chemical fiber cake to obtain lidar point cloud. Before using LiDAR point clouds, statistical filtering (such as StatisticalOutlierRemoval in the PCL library) is required to remove outlier noise points. For example, setting 50 neighboring points and a standard deviation factor of 1.0 will preserve point clouds with reasonable density. S4012. Transform the sensor coordinate system of the lidar point cloud to obtain the global spatial coordinate system between the start and end points; Coordinate system transformation can be achieved through odometry or SLAM algorithms; S4013. Mark the obstacles between the target transportation starting point and the target transportation ending point of the chemical fiber cake in the global spatial coordinate system between the starting and ending points; S4014. Measure and process the transport equipment for chemical fiber cakes to determine the dimensional information of the transport equipment; For example, if the transportation equipment is a robot, then it is necessary to measure the robot's length and width data, and then generate a grid based on the robot's length and width data. If there is a complete single grid in the gridded path network, it means that the transportation equipment can pass through this position without collision. S4015. Design the size information of the transportation equipment as a single grid, and divide the global spatial coordinate system between the origin and destination through a single grid to obtain a gridded path network.

[0025] Specifically, step S402, which involves path planning processing of the gridded path network to determine the transportation path of the chemical fiber cake, includes the following steps: S4021. Extract information from the gridded path network to determine areas not occupied by obstacles; S4022. Perform connectivity analysis on areas not occupied by obstacles to determine the paths through which transport equipment can pass. S4023. Calculate and process the route through which the transport equipment can pass to obtain the route length data of the transport equipment; S4024. Based on the minimum value function, sort the path length data of transportation equipment to determine the minimum value of the path length data of transportation equipment. S4025. Set the path corresponding to the minimum value of the path length data that the transportation equipment can pass as the transportation path of the chemical fiber cake; In this embodiment, there may be some obstacles on both sides of the path of the transport equipment for transporting the chemical fiber filament cake. In order to avoid the transport equipment colliding with the obstacles during the transport of the chemical fiber filament cake, the transport path needs to be planned in advance. That is, the position of the obstacle needs to be marked in the spatial global coordinate system, and the size of the obstacle needs to be determined in the spatial global coordinate system. It is necessary to determine which grids the obstacle occupies. If it is not a complete grid, it is not a path for the transport equipment. Therefore, the transport path is a continuous and complete grid. Therefore, it is necessary to perform connectivity analysis on the areas not occupied by obstacles. However, there may be multiple transport paths in the connected areas. Therefore, it is necessary to compare the lengths of the paths. The shortest path is the fastest transport path.

[0026] Reference Figure 2 As shown, a transportation path planning system for chemical fiber cakes is used to implement the transportation path planning method for chemical fiber cakes as described above, including: The path planning terminal is used to control each module to perform destination selection and path planning for the chemical fiber cakes to be transported, and to determine the transportation path of the chemical fiber cakes. The path planning terminal is also used to control data transmission and information interaction between the modules. The database system is used to store all data related to the factory design drawings and the final destination of the chemical fiber cake transportation. The feature data acquisition module is used to collect and process all data of the transportation destination of the chemical fiber cake to obtain feature data of all transportation destinations of the chemical fiber cake. The transportation destination utilization rate analysis unit is used to analyze the utilization rate of all transportation destinations of the chemical fiber cake and obtain the utilization rate of the transportation destinations of the chemical fiber cake. The occupancy calculation module is used to perform occupancy analysis on the transportation destination of chemical fiber cakes that meet the usage standards, and to determine the predicted occupancy of the transportation destination of chemical fiber cakes. The target transportation destination screening module is used to compare and analyze the occupancy rate of chemical fiber cake transportation destinations to determine the target transportation destination of the chemical fiber cake. The path network generation module is used to perform spatial division processing on the space between the target transportation starting point and the target transportation ending point of the chemical fiber cake to generate a gridded path network. The transportation route determination module is used to perform path planning processing on the gridded path network to determine the transportation route of the chemical fiber cake.

[0027] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A method for planning a transport path of a synthetic fiber cake, characterized in that include: Obtain all the transportation destinations of the chemical fiber cake, collect the characteristic data of all the transportation destinations of the chemical fiber cake, perform usage analysis, and determine the usage rate of the transportation destinations of the chemical fiber cake. Obtain the quantity of chemical fiber cakes that need to be transported, and perform a occupancy analysis on the utilization rate of the chemical fiber cake transportation destination based on the quantity of chemical fiber cakes that need to be transported, and determine the predicted occupancy rate of the chemical fiber cake transportation destination. A comparative analysis of the occupancy rates of chemical fiber cakes at their final transportation destinations was conducted to determine the target transportation destinations for chemical fiber cakes. Path analysis is performed on the target transportation starting point and target transportation destination of the chemical fiber cake to determine the transportation path of the chemical fiber cake; The process of comparing and analyzing the occupancy rate of the chemical fiber cakes at the transportation endpoints to determine the target transportation endpoints specifically includes the following steps: If the occupancy rate of the chemical fiber cake transportation endpoint is greater than or equal to the set occupancy rate threshold, the chemical fiber cake transportation endpoint is fully loaded and cannot completely store the chemical fiber cakes that need to be transported. If the occupancy rate of the chemical fiber cake transportation endpoint is less than the set occupancy rate threshold, based on the minimum value function, the occupancy rates of the chemical fiber cake transportation endpoints that are less than the set occupancy rate threshold are sorted, and the chemical fiber cake transportation endpoint corresponding to the minimum occupancy rate of the chemical fiber cake transportation endpoint is set as the target transportation endpoint of the chemical fiber cake.

2. The method for planning a transportation path of a chemical fiber cake according to claim 1, wherein, The process of obtaining all the transportation destinations of the chemical fiber cakes, collecting feature data of all transportation destinations of the chemical fiber cakes, performing usage analysis, and determining the usage rate of the transportation destinations of the chemical fiber cakes specifically includes the following steps: Based on the transportation destination of chemical fiber cakes, the location matching process of the factory building design drawings in the database system is performed to determine the location of all transportation destinations of chemical fiber cakes. Based on the destination locations of all chemical fiber shreds, the database system is used to retrieve and process data to obtain all data on the destination locations of the chemical fiber shreds. Data collection and processing are performed on all data at the transportation endpoints of chemical fiber cakes to obtain characteristic data of all transportation endpoints of chemical fiber cakes. The characteristic data includes the usage frequency, usage time and full load rate of the transportation endpoints. Based on all data from the transportation endpoints of chemical fiber cakes, machine learning is used to construct a transportation endpoint utilization analysis unit. Based on the transportation endpoint utilization analysis unit, the utilization rate of all transportation endpoints of chemical fiber cakes is analyzed according to the characteristic data of all transportation endpoint locations.

3. The method of claim 2, wherein, The process of constructing a transportation destination utilization analysis unit based on all data from the transportation destination of chemical fiber cakes, using machine learning, specifically includes the following steps: Based on all data from the transportation endpoints of chemical fiber cakes, a set of training data feature information was collected, and the ratio of the time of use of the transportation endpoints and the frequency of use of the transportation endpoints under different training data was collected to mark and obtain a set of transportation endpoint usage rates for training data. Machine learning was used to construct a terminal transportation utilization analysis unit by setting the feature data of the terminal transportation destination and the utilization rate of the terminal transportation destination of chemical fiber cakes as input features and output features, respectively. Based on the set of feature information of training data and the set of transportation destination utilization rates of training data, the transportation destination utilization rate analysis unit is iteratively trained and validated until convergence.

4. The method for planning a transportation path of a chemical fiber cake according to claim 1, wherein, The process of obtaining the quantity of chemical fiber cakes to be transported, and analyzing the utilization rate of the chemical fiber cake transportation destination based on the quantity of chemical fiber cakes to be transported, to determine the predicted utilization rate of the chemical fiber cake transportation destination, specifically includes the following steps: The historical management logs of the starting point for transporting chemical fiber cakes are read and processed to obtain the quantity of chemical fiber cakes that need to be transported. A comparative analysis was conducted on the utilization rate of the transportation endpoints of chemical fiber cakes to determine the transportation endpoints of chemical fiber cakes that meet the usage standards. Based on the quantity of chemical fiber cakes that need to be transported, a occupancy analysis is conducted on the transportation destinations of chemical fiber cakes that meet the usage standards to determine the predicted occupancy rate of the transportation destinations of chemical fiber cakes.

5. The method of claim 4, wherein, The comparative analysis of the utilization rate of the transportation endpoints for chemical fiber cakes, and the determination of transportation endpoints that meet the usage standards for chemical fiber cakes, specifically includes the following steps: The utilization rate at the destination of chemical fiber cake transportation and the set utilization rate threshold are judged and processed. If the utilization rate of the fiber filament cake transportation endpoint is greater than or equal to the set utilization rate threshold, the utilization rate of the fiber filament cake transportation endpoint meets the standard, and it is set as a fiber filament cake transportation endpoint that meets the usage standard. If the utilization rate of the chemical fiber cake transportation endpoint is less than the set utilization rate threshold, the utilization rate of the chemical fiber cake transportation endpoint does not meet the standard and cannot be set as a chemical fiber cake transportation endpoint that meets the usage standard.

6. The method of claim 5, wherein, The process of analyzing the occupancy rate of the transportation destinations for chemical fiber cakes that meet the usage standards, based on the quantity of chemical fiber cakes to be transported, and determining the predicted occupancy rate of the transportation destinations for chemical fiber cakes, specifically includes the following steps: Based on the standard-compliant chemical fiber cake transportation endpoint, all data of the chemical fiber cake transportation endpoint are retrieved and processed to obtain all data of the standard-compliant chemical fiber cake transportation endpoint. Information extraction and processing are performed on all data from the transportation destination of chemical fiber cakes that meet the usage standards to obtain the full load quantity and the quantity already loaded at the transportation destination of chemical fiber cakes that meet the usage standards. The full load and loaded quantity of chemical fiber cakes at the transportation destination that meets the usage standards, the full load and the quantity of chemical fiber cakes to be transported at the transportation destination that meets the usage standards are calculated and processed to obtain the space occupancy rate and space non-occupancy rate of the transportation destination that meets the usage standards. The occupancy rate and unoccupancy rate of the space at the transportation destination of the chemical fiber cake that meets the usage standards are summed to obtain the predicted occupancy rate of the transportation destination of the chemical fiber cake.

7. The method of claim 1, wherein, The process of performing path analysis on the target transportation origin and destination of the chemical fiber cakes to determine the transportation path specifically includes the following steps: Based on lidar, data is collected and analyzed on the space between the target transportation starting point and the target transportation endpoint of the chemical fiber cake to construct a gridded path network. Path planning is performed on the gridded path network to determine the transportation path of the chemical fiber cake.

8. The method of claim 7, wherein, The process of collecting and analyzing data on the space between the target transportation starting point and the target transportation destination of the chemical fiber cake based on lidar, and constructing a gridded path network, specifically includes the following steps: Based on lidar, data is collected and processed in the space between the target transportation starting point and the target transportation endpoint of the chemical fiber cake to obtain lidar point cloud. The sensor coordinate system of the lidar point cloud is transformed to obtain the global spatial coordinate system between the start and end points; Mark the obstacles between the target transportation start point and the target transportation end point of the chemical fiber cake in the global spatial coordinate system between the start and end points; The dimensions of the transport equipment for chemical fiber cakes are determined by measuring and processing the equipment. The dimensions of the transportation equipment are designed as a single grid, and the spatial global coordinate system between the origin and destination is divided by a single grid to obtain a gridded path network.

9. The method of claim 7, wherein, The process of performing path planning on the gridded path network to determine the transportation path of the chemical fiber cake specifically includes the following steps: Information extraction and processing are performed on the gridded path network to determine areas not occupied by obstacles; Perform connectivity analysis on areas not occupied by obstacles to determine the paths through which transport equipment can pass. The path of the transport equipment can be calculated and processed to obtain the path length data of the transport equipment; Based on the minimum value function, the passable path length data of transportation equipment is sorted to determine the minimum value of the passable path length data of transportation equipment; The path corresponding to the minimum value of the path length data that the transportation equipment can pass through is set as the transportation path of the chemical fiber cake.

10. A system for planning a transport path of a filament cake, for implementing a method for planning a transport path of a filament cake according to any one of claims 1 to 9, characterized in that include: The path planning terminal is used to control each module to perform destination selection and path planning for the chemical fiber cakes to be transported, and to determine the transportation path of the chemical fiber cakes. The path planning terminal is also used to control data transmission and information interaction between the modules. The database system is used to store all data related to the factory design drawings and the final destination of the chemical fiber cake transportation. The feature data acquisition module is used to collect and process all data of the transportation destination of the chemical fiber cake to obtain feature data of all transportation destinations of the chemical fiber cake. The transportation destination utilization rate analysis unit is used to analyze the utilization rate of all transportation destinations of the chemical fiber cake and obtain the utilization rate of the transportation destinations of the chemical fiber cake. The occupancy calculation module is used to perform occupancy analysis on the transportation destination of chemical fiber cakes that meet the usage standards, and to determine the predicted occupancy of the transportation destination of chemical fiber cakes. The target transportation destination screening module is used to compare and analyze the occupancy rate of chemical fiber cake transportation destinations to determine the target transportation destination of the chemical fiber cake. The path network generation module is used to perform spatial division processing on the space between the target transportation starting point and the target transportation ending point of the chemical fiber cake to generate a gridded path network. The transportation route determination module is used to perform path planning processing on the gridded path network to determine the transportation route of the chemical fiber cake.

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