Simulation model system data interaction method and system for logistics storage center

Abstract

The invention discloses a simulation model system data interaction method and system for logistics storage centers, and relates to the technical field of logistics storage, and the method comprises the steps: S10, carrying out the three-dimensional simulation of each logistics storage center, and obtaining a simulation model of each logistics storage center; s20, scheduling indexes of various logistics cargoes are generated; s30, planning a scheduling scheme of the to-be-delivered goods; and S40, scheduling the to-be-delivered goods according to the planned scheduling scheme. According to the invention, data interaction of the simulation models of the logistics storage centers is realized based on the scheduling index, and the scheduling index comprises the scheduling quantity and the scheduling track of each logistics storage center for each type of logistics goods, so that the warehouse-out scheme of the goods can be quickly locked, and the scheduling efficiency is improved. And the logistics storage centers meeting the requirements of the to-be-executed logistics orders can be quickly positioned, so that the to-be-delivered goods can be smoothly delivered in a short time, and the operation environment of each logistics storage center is further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics warehousing, and in particular to a simulation model system data interaction method and system for a logistics warehousing center. Background Art

[0002] The logistics warehousing center is mainly responsible for receiving, storing, managing and distributing various goods. It is an integrated logistics node responsible for coordinating and optimizing warehouse operations, including the warehousing, inventory management and outbound delivery of goods. In addition, the logistics warehousing center is also responsible for coordinating with other logistics nodes to ensure the smooth operation of the entire logistics system.

[0003] In the prior art, when data is exchanged among logistics warehousing centers, the logistics cargo storage data of each logistics warehousing center is usually uploaded to the data interaction terminal to realize data interaction. This method has high requirements on the data interaction terminal. This process is not conducive to effective coordination among the logistics warehousing centers. At the same time, it is also impossible to optimize the operation of each logistics warehousing center, and the prior art cannot effectively manage the outbound delivery of goods based on the interactive data. Summary of the invention

[0004] The purpose of the present invention is to provide a data interaction method and system for a simulation model system of a logistics warehousing center to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: a data interaction method for a simulation model system of a logistics warehousing center, the method comprising: S10: According to the layout of the production and processing area, the circulation and processing area, and each shelf in each logistics and warehousing center, a three-dimensional simulation is performed on each logistics and warehousing center, and combined with the placement of each logistics cargo on each shelf, a three-dimensional simulation is performed on each logistics and warehousing center to obtain a simulation model of each logistics and warehousing center; S20: Based on the simulation model of each logistics warehousing center, the correlation characteristics between the same type of logistics goods located in different logistics warehousing centers are analyzed, and according to the analysis results, the scheduling index of each type of logistics goods is generated; S30: Analyze the matching degree between each logistics storage center and the goods to be shipped according to the logistics order information to be executed, and plan the scheduling plan for the goods to be shipped based on the analysis results; S40: dispatching the goods to be shipped according to the planned dispatching scheme.

[0006] Further, the S20 includes: S201: Randomly select a type of logistics goods, and determine the location index of the selected logistics goods in each logistics storage center according to the simulation model of each logistics storage center. The specific determination method is: Each logistics storage center is numbered, and the numbering result is: i=1,2,…,m; m represents the total number of logistics storage centers; each shelf arranged in the logistics storage center is numbered, and the numbering result is: j=1,2,…,n; n represents the total number of shelves; According to the simulation model of the logistics storage center numbered i, the position index of the selected logistics goods on the jth shelf in the logistics storage center numbered i is obtained as: , where p represents the total number of rows of shelves, q represents the total number of columns of shelves, and a pqij =0 or a pqij =1, when a pqij = 0, it means that the selected logistics goods are not placed on the p-th row and q-th column of the j-th shelf in the logistics storage center numbered i. pqij =1, it means that the selected logistics goods are placed on the p-th row and q-th column of the j-th shelf in the logistics storage center numbered i. pqij Indicates the number of selected logistics goods placed in the pth row and qth column of the jth shelf in the logistics storage center numbered i; the placement position and placement quantity of various logistics goods in the logistics storage center are represented by the matrix, and the position coordinate information is converted into digital information, which reduces the amount of data interaction transmission and is conducive to improving the data interaction rate; The location index of the selected logistics goods in the logistics storage center numbered i is: F i ={A i1 , A i2 ,…,A in}, where sum(sum(A in )) = 0, A in =0, when sum(sum(A in ))≠0, ,sum(sum(A in )) is used to transform the matrix A in All elements in are summed up; According to the position index of various logistics goods on each shelf, the placement of various logistics goods in each logistics storage center can be accurately described; S202: Randomly select a logistics storage center. Assume that the number of the selected logistics storage center is y, y=1,2,…,m and y≠i, then the position index of the selected logistics goods in the logistics storage center numbered y is: F y ={A y1 , A y2 ,…,A yn}, F y ={A y1 , A y2 ,…,Ayn} and F i ={A i1 , A i2 ,…,A in}Compare and analyze to determine the correlation characteristics between similar logistics goods located in different logistics storage centers; according to the correlation characteristics between similar logistics goods, it is conducive to realizing data interaction between various simulation models and facilitating the rapid positioning of logistics storage centers that meet the requirements of the logistics orders to be executed; S203: Generate dispatch indexes for various types of logistics goods based on the location indexes of the selected logistics goods in various logistics storage centers. Based on the dispatch indexes for various types of logistics goods, quickly match logistics storage centers that meet the requirements of the logistics orders to be executed, and quickly determine the dispatch trajectory of the logistics goods, thereby improving the work efficiency of the logistics storage centers.

[0007] Furthermore, the specific method of determining the correlation characteristics between similar logistics goods located in different logistics storage centers in S202 is: Will and Compare and obtain the first correlation feature model Q between the selected logistics goods located in the logistics storage center numbered i and the selected logistics goods located in the logistics storage center numbered y 1iy , , where a pqij =a pqyj =1, w pq =1, when a pqij =a pqyj =0 or a pqij ≠a pqyj When pq =0; Will and Compare and obtain the second correlation feature model Q between the selected logistics goods located in the logistics storage center numbered i and the selected logistics goods located in the logistics storage center numbered y 2iy ; ; The association characteristic model between the selected logistics goods located in the logistics storage center numbered i and the selected logistics goods located in the logistics storage center numbered y is: R iy =(Q 1iy ,Q 2iy ).

[0008] Furthermore, the specific method of generating the dispatch index of various types of logistics goods in S203 is: Ⅰ. Based on the position index of the selected logistics goods on the jth shelf in the logistics storage center numbered i, through the matrix The situation of placing selected logistics goods on the j-th shelf in the logistics storage center numbered i is represented according to sum(sum(X ij )) For the matrix X ij All elements in are summed up; Ⅱ. According to sum(sum(X ij )) Sort the numbers corresponding to the shelves of the logistics storage center numbered i that place the selected logistics goods in descending order, and the sorting result is the dispatching track of the selected logistics goods by the logistics storage center numbered i; III. The dispatch index of the selected logistics goods in the logistics storage center numbered i is: , where u i It represents the dispatching track of the selected logistics goods by the logistics storage center numbered i. Indicates that the number of logistics goods to be shipped in the logistics order request to be executed is less than or equal to When , the output scheduling trajectory u i , when the number of logistics goods to be shipped in the logistics order request to be executed is greater than When ; Based on the operations of Ⅰ, Ⅱ, and Ⅲ, the scheduling index of various types of logistics goods in the logistics storage center numbered i is determined.

[0009] Further, the S30 includes: S301: Obtain the type of goods to be shipped requested in the logistics order information to be executed, and the requested quantity G of goods to be shipped, and input the obtained quantity G of goods to be shipped into the scheduling index of the goods to be shipped in the logistics storage center numbered i. If the scheduling track is output, go to step S302. If the scheduling track is output, go to step S303. , then go to step S303; S302: Analyze the matching degree between the logistics warehousing center numbered i and the goods to be shipped according to the quantity of goods to be shipped that can be dispatched at each dispatching trajectory point in the dispatching trajectory and the position relationship between each dispatching trajectory point and the production processing area and the circulation processing area arranged by the matching logistics warehousing center; S303: According to Predict the matching degree between the logistics storage center numbered i and the goods to be shipped, where H i It represents the dispatch distance value calculated based on the dispatch trajectory of the goods to be shipped by the logistics storage center numbered i; S304: Planning a dispatching plan for the goods to be shipped.

[0010] Furthermore, the specific method of analyzing the matching degree between the logistics storage center numbered i and the goods to be shipped in S302 is: According to the quantity of goods to be shipped placed at each scheduling track point in the scheduling track, the scheduling track is intercepted, the sum of the quantity of goods to be shipped placed at each scheduling track point in the intercepted and retained scheduling track is ≥ G, and the position coordinates of each scheduling track point in the intercepted and retained scheduling track are obtained; According to the distance formula between two points, the distance value between each scheduling track point in the intercepted and retained scheduling track and the regional center of the production and processing area arranged by the logistics warehousing center numbered i is calculated, and the distance value between each scheduling track point in the intercepted and retained scheduling track and the regional center of the circulation processing area arranged by the logistics warehousing center numbered i is calculated, and the calculation results are summed to obtain the scheduling distance value D of the logistics warehousing center numbered i for the goods to be shipped. i ; According to T 1i =exp(-D i ) predicts the matching degree between the logistics storage center numbered i and the goods to be shipped, where exp represents the exponential function with base e, e=2.73.

[0011] Furthermore, the specific method of planning the dispatching plan for the goods to be shipped in S304 is: When the dispatch index of the goods to be shipped in the logistics storage center numbered i outputs the dispatch trajectory, T 1i The corresponding intercepted and retained scheduling track is the scheduling plan for the goods to be shipped; When the dispatch index of the goods to be shipped in the logistics storage center numbered i is output When , according to the association characteristic model Riy=(Q1iy,Q2iy) between the goods to be shipped at the logistics storage center numbered i and the goods to be shipped at the logistics storage center numbered y, the associated logistics storage center of the logistics storage center numbered i is searched, and based on the search results, the scheduling plan for the goods to be shipped is determined. The specific method is: like , then the logistics warehousing center numbered y is considered to be the associated logistics warehousing center of the logistics warehousing center numbered i. At this time, the scheduling trajectory of the goods to be shipped by the logistics warehousing centers numbered i and y is the scheduling plan for the goods to be shipped; like , then the logistics storage center numbered y is considered to be the associated logistics storage center of the logistics storage center numbered i. The scheduling trajectory of the logistics storage center numbered y for the goods to be shipped is intercepted, and the matching degree T between the logistics storage center numbered y and the goods to be shipped is calculated based on the intercepted and retained scheduling trajectory. 1yCalculate maxT 1y The corresponding intercepted and retained scheduling track and the scheduling track of the goods to be shipped by the logistics storage center numbered i are the scheduling plan for the goods to be shipped; like , then it is considered that the logistics warehousing center numbered y is not the associated logistics warehousing center of the logistics warehousing center numbered i.

[0012] Furthermore, the S40 sends the planned scheduling plans to the matching logistics warehousing center terminals respectively, and the logistics warehousing center terminals guide the staff to carry out the outbound processing of the goods according to the received scheduling plans.

[0013] A simulation model system data interaction system for a logistics warehousing center, the system comprising a simulation model building module, a data interaction module, a scheduling scheme planning module, and a scheduling guidance module; The simulation model building module performs a three-dimensional simulation of each logistics storage center according to the layout of the production and processing area, the circulation and processing area, and each shelf in each logistics storage center, and performs a three-dimensional simulation of each logistics storage center in combination with the placement of each logistics goods on each shelf to obtain a simulation model of each logistics storage center; The data interaction module analyzes the correlation characteristics between similar logistics goods located in different logistics warehousing centers based on the simulation models of each logistics warehousing center, and generates a scheduling index for each type of logistics goods based on the analysis results; The scheduling plan planning module is used to analyze the matching degree between each logistics storage center and the goods to be shipped according to the logistics order information to be executed, and plan the scheduling plan for the goods to be shipped based on the analysis results; The scheduling guidance module is used to schedule the goods to be shipped according to the planned scheduling plan.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention generates a dispatch index for each type of logistics goods in each logistics storage center through the position index of each shelf in each logistics storage center, and realizes data interaction of simulation models of each logistics storage center based on the dispatch index. The dispatch index includes the dispatch quantity of each type of logistics goods in each logistics storage center, as well as the dispatch trajectory, which is conducive to quickly locking the outbound delivery plan of the goods and improving the use effect of the system.

[0015] 2. The present invention analyzes the matching degree between each logistics warehousing center and the goods to be shipped according to the dispatch index of various types of logistics goods in each logistics warehousing center, and combines the correlation feature model between similar logistics goods located in different logistics warehousing centers, which is conducive to quickly and effectively coordinating the delivery situation of each logistics warehousing center, and at the same time can quickly locate the logistics warehousing center that meets the requirements of the logistics orders to be executed, ensuring that the goods to be shipped can be shipped smoothly in a short time, further improving the operating environment of each logistics warehousing center.

[0016] 3. The present invention can further reduce the transmission volume of interactive data by converting the simulation data of each logistics warehousing center simulation model into a matrix form, which is beneficial to improving the data interaction rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of the workflow of the data interaction method of the simulation model system for a logistics storage center according to the present invention; Figure 2 The present invention is a schematic diagram of the working principle structure of the simulation model system data interaction system used in the logistics warehousing center. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Example: Figure 1 and Figure 2 As shown, the present invention provides a simulation model system data interaction method and system technical solution for a logistics warehousing center, and a simulation model system data interaction method for a logistics warehousing center, the method includes: S10: According to the layout of the production and processing area, circulation processing area, and each shelf in each logistics storage center, a three-dimensional simulation is performed on each logistics storage center. Combined with the placement of each logistics cargo on each shelf, a three-dimensional simulation is performed on each logistics storage center to obtain a simulation model of each logistics storage center. The production and processing area is used for processing and packaging of commodities, and the circulation processing area is used for inverting, sorting, circulation processing, etc. of commodities; S20: Based on the simulation model of each logistics warehousing center, the correlation characteristics between the same type of logistics goods located in different logistics warehousing centers are analyzed, and according to the analysis results, the scheduling index of each type of logistics goods is generated; The S20 includes: S201: Randomly select a type of logistics goods, and determine the location index of the selected logistics goods in each logistics storage center according to the simulation model of each logistics storage center. The specific determination method is: Each logistics storage center is numbered, and the numbering result is: i=1,2,…,m; m represents the total number of logistics storage centers; each shelf arranged in the logistics storage center is numbered, and the numbering result is: j=1,2,…,n; n represents the total number of shelves; According to the simulation model of the logistics storage center numbered i, the position index of the selected logistics goods on the jth shelf in the logistics storage center numbered i is obtained as: , where p represents the total number of rows of shelves, q represents the total number of columns of shelves, and a pqij =0 or a pqij =1, when a pqij = 0, it means that the selected logistics goods are not placed on the p-th row and q-th column of the j-th shelf in the logistics storage center numbered i. pqij =1, it means that the selected logistics goods are placed on the p-th row and q-th column of the j-th shelf in the logistics storage center numbered i. pqij It indicates the quantity of selected logistics goods placed in the p-th row and q-th column of the j-th shelf in the logistics storage center numbered i; The location index of the selected logistics goods in the logistics storage center numbered i is: F i ={A i1 , A i2 ,…,A in}, where sum(sum(A in )) = 0, A in =0, when sum(sum(A in ))≠0, ,sum(sum(A in )) is used to transform the matrix A in All elements in are summed up; S202: Randomly select a logistics storage center. Assume that the number of the selected logistics storage center is y, y=1,2,…,m and y≠i, then the position index of the selected logistics goods in the logistics storage center numbered y is: F y ={A y1 , A y2 ,…,A yn}, F y ={A y1 , A y2 ,…,A yn} and F i ={A i1 , A i2 ,…,A in} Carry out comparative analysis to determine the correlation characteristics between similar logistics goods located in different logistics storage centers. The specific method is as follows: Will and Compare and obtain the first correlation feature model Q between the selected logistics goods located in the logistics storage center numbered i and the selected logistics goods located in the logistics storage center numbered y 1iy , , where a pqij =a pqyj =1, w pq =1, when a pqij =a pqyj =0 or a pqij ≠a pqyj When pq =0; Will and Compare and obtain the second correlation feature model Q between the selected logistics goods located in the logistics storage center numbered i and the selected logistics goods located in the logistics storage center numbered y 2iy ; ; The association characteristic model between the selected logistics goods located in the logistics storage center numbered i and the selected logistics goods located in the logistics storage center numbered y is: R iy =(Q 1iy ,Q 2iy ); S203: Generate a dispatch index for each type of logistics goods according to the location index of the selected logistics goods in each logistics storage center. The specific method is as follows: Ⅰ. Based on the position index of the selected logistics goods on the jth shelf in the logistics storage center numbered i, through the matrix The situation of placing selected logistics goods on the j-th shelf in the logistics storage center numbered i is represented according to sum(sum(X ij )) For the matrix X ij All elements in are summed up; Ⅱ. According to sum(sum(X ij )) Sort the numbers corresponding to the shelves of the logistics storage center numbered i that place the selected logistics goods in descending order, and the sorting result is the dispatching track of the selected logistics goods by the logistics storage center numbered i; III. The dispatch index of the selected logistics goods in the logistics storage center numbered i is: , where u i It represents the dispatching track of the selected logistics goods by the logistics storage center numbered i. Indicates that when the number of logistics goods to be shipped in the logistics order request to be executed is less than or equal to When , the output scheduling trajectory u i , when the number of logistics goods to be shipped in the logistics order request to be executed is greater than When ; Based on the operations of Ⅰ, Ⅱ, and Ⅲ, the dispatch index of various types of logistics goods in the logistics storage center numbered i is determined; S30: Analyze the matching degree between each logistics storage center and the goods to be shipped according to the logistics order information to be executed, and plan the scheduling plan for the goods to be shipped based on the analysis results; S30 includes: S301: Obtain the type of goods to be shipped requested in the logistics order information to be executed, and the requested quantity G of goods to be shipped, and input the obtained quantity G of goods to be shipped into the scheduling index of the goods to be shipped in the logistics storage center numbered i. If the scheduling track is output, go to step S302. If the scheduling track is output, go to step S303. , then go to step S303; S302: According to the quantity of goods to be shipped that can be dispatched at each dispatching trajectory point in the dispatching trajectory, and the position relationship between each dispatching trajectory point and the production and processing area and the circulation and processing area arranged in the matching logistics and warehousing center, the matching degree between the logistics and warehousing center numbered i and the goods to be shipped is analyzed. The specific method is: According to the quantity of goods to be shipped placed at each scheduling track point in the scheduling track, the scheduling track is intercepted, and the sum of the quantity of goods to be shipped placed at each scheduling track point in the intercepted and retained scheduling track is ≥ G, and the position coordinates of each scheduling track point in the intercepted and retained scheduling track are obtained. The scheduling track point refers to the shelf corresponding to each number in the scheduling track, and the position coordinates of the scheduling track point refer to the center position coordinates of the shelf; According to the distance formula between two points, the distance value between each scheduling trajectory point in the intercepted and retained scheduling trajectory and the regional center of the production and processing area arranged by the logistics warehousing center numbered i, and the distance value between each scheduling trajectory point in the intercepted and retained scheduling trajectory and the regional center of the circulation processing area arranged by the logistics warehousing center numbered i are calculated. The position coordinates are determined based on the three-dimensional space coordinate system constructed in the simulation model. The coordinate origin position of the three-dimensional space coordinate system constructed in each simulation model is the regional center position of the production and processing area. The calculation results are summed to obtain the scheduling distance value D of the logistics warehousing center numbered i for the goods to be shipped. i ; According to T 1i =exp(-D i ) predicts the matching degree between the logistics storage center numbered i and the goods to be shipped, where exp represents the exponential function with base e, e=2.73.

[0020] S303: According to Predict the matching degree between the logistics storage center numbered i and the goods to be shipped, where H i It represents the dispatch distance value calculated based on the dispatch trajectory of the goods to be shipped by the logistics storage center numbered i; S304: Planning the dispatching plan for the goods to be shipped, the specific method is as follows: When the dispatch index of the goods to be shipped in the logistics storage center numbered i outputs the dispatch trajectory, T 1i The corresponding intercepted and retained scheduling track is the scheduling plan for the goods to be shipped; When the dispatch index of the goods to be shipped in the logistics storage center numbered i is output When , according to the association characteristic model Riy=(Q1iy,Q2iy) between the goods to be shipped at the logistics storage center numbered i and the goods to be shipped at the logistics storage center numbered y, the associated logistics storage center of the logistics storage center numbered i is searched, and based on the search results, the scheduling plan for the goods to be shipped is determined. The specific method is: like , then the logistics warehousing center numbered y is considered to be the associated logistics warehousing center of the logistics warehousing center numbered i. At this time, the scheduling trajectory of the goods to be shipped by the logistics warehousing centers numbered i and y is the scheduling plan for the goods to be shipped; like , then the logistics storage center numbered y is considered to be the associated logistics storage center of the logistics storage center numbered i. Intercept the dispatch track of the goods to be shipped from the logistics storage center numbered y, and intercept the sum of the number of goods to be shipped placed at each dispatch track point in the retained dispatch track According to the distance formula between two points, the distance value between each scheduling trajectory point in the intercepted and retained scheduling trajectory and the regional center of the production and processing area arranged by the logistics warehousing center numbered y is calculated, and the distance value between each scheduling trajectory point in the intercepted and retained scheduling trajectory and the regional center of the circulation processing area arranged by the logistics warehousing center numbered y is calculated, and the calculation results are summed to obtain the scheduling distance value D of the logistics warehousing center numbered i for the goods to be shipped y , according to T 1y =exp(-D y ) The matching degree T between the logistics storage center numbered y and the goods to be shipped 1y Calculate maxT 1y The corresponding intercepted and retained scheduling trajectory and the scheduling trajectory of the goods to be shipped by the logistics storage center numbered i are the scheduling plan for the goods to be shipped. The number of goods to be shipped from the logistics storage center numbered i is , the number of goods to be shipped from the logistics storage center numbered y is ; like , then it is considered that the logistics warehousing center numbered y is not the associated logistics warehousing center of the logistics warehousing center numbered i.

[0021] S40: dispatching the goods to be shipped according to the planned dispatching plan; S40 sends the planned dispatching plans to the matching logistics warehousing center terminals respectively. The logistics warehousing center terminals guide the staff to process the goods to be shipped out according to the received dispatching plans.

[0022] A simulation model system data interaction system for a logistics warehousing center, the system includes a simulation model building module, a data interaction module, a scheduling scheme planning module, and a scheduling guidance module; The simulation model building module performs three-dimensional simulation of each logistics storage center according to the layout of the production and processing area, circulation processing area, and each shelf in each logistics storage center. Combined with the placement of each logistics cargo on each shelf, the simulation model of each logistics storage center is obtained by performing three-dimensional simulation of each logistics storage center. The data interaction module analyzes the correlation characteristics between similar logistics goods located in different logistics warehousing centers based on the simulation models of each logistics warehousing center, and generates the dispatch index of various logistics goods according to the analysis results; The scheduling plan module is used to analyze the matching degree between each logistics storage center and the goods to be shipped according to the information of the logistics orders to be executed, and plan the scheduling plan for the goods to be shipped based on the analysis results; The scheduling guidance module is used to schedule the goods to be shipped according to the planned scheduling plan.

[0023] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A data interaction method for a simulation model system of a logistics warehousing center, characterized in that: The method comprises: S10: According to the layout of the production and processing area, the circulation and processing area, and each shelf in each logistics and warehousing center, a three-dimensional simulation is performed on each logistics and warehousing center, and combined with the placement of each logistics cargo on each shelf, a three-dimensional simulation is performed on each logistics and warehousing center to obtain a simulation model of each logistics and warehousing center; S20: Based on the simulation model of each logistics warehousing center, the correlation characteristics between the same type of logistics goods located in different logistics warehousing centers are analyzed, and according to the analysis results, the scheduling index of each type of logistics goods is generated; S30: Analyze the matching degree between each logistics storage center and the goods to be shipped according to the logistics order information to be executed, and plan the scheduling plan for the goods to be shipped based on the analysis results; S40: dispatching the goods to be shipped according to the planned dispatching scheme.

2. The data interaction method of the simulation model system for a logistics warehousing center according to claim 1, characterized in that: The S20 includes: S201: Randomly select a type of logistics goods, and determine the location index of the selected logistics goods in each logistics storage center according to the simulation model of each logistics storage center. The specific determination method is: Each logistics storage center is numbered, and the numbering result is: i=1,2,…,m; m represents the total number of logistics storage centers; each shelf arranged in the logistics storage center is numbered, and the numbering result is: j=1,2,…,n; n represents the total number of shelves; According to the simulation model of the logistics storage center numbered i, the position index of the selected logistics goods on the jth shelf in the logistics storage center numbered i is obtained as: , where p represents the total number of rows of shelves, q represents the total number of columns of shelves, and a pqij =0 or a pqij =1, when a pqij = 0, it means that the selected logistics goods are not placed on the p-th row and q-th column of the j-th shelf in the logistics storage center numbered i. pqij =1, it means that the selected logistics goods are placed on the p-th row and q-th column of the j-th shelf in the logistics storage center numbered i. pqij It indicates the quantity of selected logistics goods placed in the p-th row and q-th column of the j-th shelf in the logistics storage center numbered i; The location index of the selected logistics goods in the logistics storage center numbered i is: F i ={A i1 , A i2 ,…,A in }, where sum(sum(A in )) = 0, A in =0, when sum(sum(A in ))≠0, ,sum(sum(A in )) is used to transform the matrix A in Sum all the elements in ; S202: Randomly select a logistics storage center. Assume that the number of the selected logistics storage center is y, y=1,2,…,m and y≠i, then the position index of the selected logistics goods in the logistics storage center numbered y is: F y ={A y1 , A y2 ,…,A yn }, F y ={A y1 , A y2 ,…,A yn } and F i ={A i1 , A i2 ,…,A in } Carry out comparative analysis to determine the correlation characteristics between similar logistics goods located in different logistics storage centers; S203: Generate a scheduling index for each type of logistics goods according to the location index of the selected logistics goods in each logistics storage center.

3. The data interaction method of the simulation model system for a logistics warehousing center according to claim 2 is characterized in that: The specific method of determining the correlation characteristics between similar logistics goods located in different logistics storage centers in S202 is: Will and Compare and obtain the first correlation feature model Q between the selected logistics goods located in the logistics storage center numbered i and the selected logistics goods located in the logistics storage center numbered y 1iy , , where a pqij =a pqyj =1, w pq =1, when a pqij =a pqyj =0 or a pqij ≠a pqyj When pq =0; Will and Compare and obtain the second correlation feature model Q between the selected logistics goods located in the logistics storage center numbered i and the selected logistics goods located in the logistics storage center numbered y 2iy ; ； The association characteristic model between the selected logistics goods located in the logistics storage center numbered i and the selected logistics goods located in the logistics storage center numbered y is: R iy =(Q 1iy ,Q 2iy ).

4. The data interaction method of the simulation model system for a logistics warehousing center according to claim 3 is characterized in that: The specific method of generating the dispatch index of various types of logistics goods in S203 is: Ⅰ. Based on the position index of the selected logistics goods on the jth shelf in the logistics storage center numbered i, through the matrix The situation of placing selected logistics goods on the j-th shelf in the logistics storage center numbered i is represented according to sum(sum(X ij )) For the matrix X ij Sum all the elements in ; Ⅱ. According to sum(sum(X ij )) Sort the numbers corresponding to the shelves of the logistics storage center numbered i that place the selected logistics goods in descending order, and the sorting result is the dispatching track of the selected logistics goods by the logistics storage center numbered i; III. The dispatch index of the selected logistics goods in the logistics storage center numbered i is: , where u i It represents the dispatching track of the selected logistics goods by the logistics storage center numbered i. Indicates that the number of logistics goods to be shipped in the logistics order request to be executed is less than or equal to When , the output scheduling trajectory u i , when the number of logistics goods to be shipped in the logistics order request to be executed is greater than When ; Based on the operations of Ⅰ, Ⅱ, and Ⅲ, the scheduling index of various types of logistics goods in the logistics storage center numbered i is determined.

5. The data interaction method of the simulation model system for a logistics warehousing center according to claim 4 is characterized in that: The S30 includes: S301: Obtain the type of goods to be shipped requested in the logistics order information to be executed, and the requested quantity G of goods to be shipped, and input the obtained quantity G of goods to be shipped into the scheduling index of the goods to be shipped in the logistics storage center numbered i. If the scheduling track is output, go to step S302. If the scheduling track is output, go to step S303. , then go to step S303; S302: Analyze the matching degree between the logistics warehousing center numbered i and the goods to be shipped according to the quantity of goods to be shipped that can be dispatched at each dispatching trajectory point in the dispatching trajectory and the position relationship between each dispatching trajectory point and the production processing area and the circulation processing area arranged by the matching logistics warehousing center; S303: According to Predict the matching degree between the logistics storage center numbered i and the goods to be shipped, where H i It represents the dispatch distance value calculated based on the dispatch trajectory of the goods to be shipped by the logistics storage center numbered i; S304: Planning a dispatching plan for the goods to be shipped.

6. The data interaction method of the simulation model system for a logistics warehousing center according to claim 5 is characterized in that: The specific method of analyzing the matching degree between the logistics storage center numbered i and the goods to be shipped in S302 is: According to the quantity of goods to be shipped placed at each scheduling track point in the scheduling track, the scheduling track is intercepted, the sum of the quantity of goods to be shipped placed at each scheduling track point in the intercepted and retained scheduling track is ≥ G, and the position coordinates of each scheduling track point in the intercepted and retained scheduling track are obtained; According to the distance formula between two points, the distance value between each scheduling track point in the intercepted and retained scheduling track and the regional center of the production and processing area arranged by the logistics warehousing center numbered i is calculated, and the distance value between each scheduling track point in the intercepted and retained scheduling track and the regional center of the circulation processing area arranged by the logistics warehousing center numbered i is calculated, and the calculation results are summed to obtain the scheduling distance value D of the logistics warehousing center numbered i for the goods to be shipped. i ; According to T 1i =exp(-D i ) predicts the matching degree between the logistics storage center numbered i and the goods to be shipped, where exp represents the exponential function with base e, e=2.

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7. The data interaction method of the simulation model system for a logistics warehousing center according to claim 6 is characterized by: The specific method of planning the dispatching plan for the goods to be shipped in S304 is: When the dispatch index of the goods to be shipped in the logistics storage center numbered i outputs the dispatch trajectory, T 1i The corresponding intercepted and retained scheduling track is the scheduling plan for the goods to be shipped; When the dispatch index of the goods to be shipped in the logistics storage center numbered i is output When , according to the association feature model R between the goods to be shipped at the logistics storage center numbered i and the goods to be shipped at the logistics storage center numbered y iy =(Q 1iy ,Q 2iy ), search for the associated logistics storage center of the logistics storage center numbered i, and determine the dispatching plan for the goods to be shipped based on the search result. The specific method is as follows: like , then the logistics warehousing center numbered y is considered to be the associated logistics warehousing center of the logistics warehousing center numbered i. At this time, the scheduling trajectory of the goods to be shipped by the logistics warehousing centers numbered i and y is the scheduling plan for the goods to be shipped; like , then the logistics storage center numbered y is considered to be the associated logistics storage center of the logistics storage center numbered i. The scheduling trajectory of the logistics storage center numbered y for the goods to be shipped is intercepted, and the matching degree T between the logistics storage center numbered y and the goods to be shipped is calculated based on the intercepted and retained scheduling trajectory. 1y Calculate maxT 1y The corresponding intercepted and retained scheduling track and the scheduling track of the goods to be shipped by the logistics storage center numbered i are the scheduling plan for the goods to be shipped; like , then it is considered that the logistics warehousing center numbered y is not the associated logistics warehousing center of the logistics warehousing center numbered i.

8. The data interaction method of the simulation model system for a logistics warehousing center according to claim 7, characterized in that: The S40 sends the planned dispatching schemes to the matching logistics warehousing center terminals respectively, and the logistics warehousing center terminals guide the staff to carry out the outbound goods processing according to the received dispatching schemes.

9. A simulation model system data interaction system for a logistics warehousing center, which implements the simulation model system data interaction method for a logistics warehousing center according to any one of claims 1 to 8, characterized in that: The system includes a simulation model building module, a data interaction module, a scheduling scheme planning module, and a scheduling guidance module; The simulation model building module performs a three-dimensional simulation of each logistics storage center according to the layout of the production and processing area, the circulation and processing area, and each shelf in each logistics storage center, and performs a three-dimensional simulation of each logistics storage center in combination with the placement of each logistics goods on each shelf to obtain a simulation model of each logistics storage center; The data interaction module analyzes the correlation characteristics between similar logistics goods located in different logistics warehousing centers based on the simulation models of each logistics warehousing center, and generates a scheduling index for each type of logistics goods based on the analysis results; The scheduling plan planning module is used to analyze the matching degree between each logistics storage center and the goods to be shipped according to the logistics order information to be executed, and plan the scheduling plan for the goods to be shipped based on the analysis results; The scheduling guidance module is used to schedule the goods to be shipped according to the planned scheduling plan.

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