Logistics simulation system based on digital twinning

Abstract

The invention discloses a logistics simulation system based on digital twinning, and the system comprises a material module which is used for constructing a digital twinning model of a building and equipment of a logistics distribution center; the construction module is used for collecting, processing and digitizing information of goods to be transferred, and preliminarily constructing a digital twinborn model according to the processed digitized information of the goods to be transferred; the simulation module is used for carrying out analogue simulation through a digital twin model in a virtual environment to generate a plurality of groups of analogue simulation data, and comparing the analogue simulation data with test data through parameter setting to collect optimal scheme data; and the evaluation module is used for collecting and analyzing the simulation test data, and visualizing the abnormal condition of the data according to an analysis result. According to the logistics simulation system based on digital twinning, the logistics plan with the most efficient analogue simulation data is adopted, the to-be-transferred goods of the logistics center can smoothly and efficiently reach the planned destination, and the logistics resource configuration efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet data simulation and simulation, and in particular to a logistics simulation system based on digital twins. Background Art

[0002] Logistics operations are the core link in the logistics field. They cover the entire process of transferring goods from the supply to the demand, as well as a series of organizational, management, control and coordination activities to meet customer needs. With the rapid development of social economy, online shopping has been favored by more and more consumers due to its convenience and economy, which has directly led to a surge in the number of logistics goods. At the same time, the logistics industry is facing unprecedented pressure. Common problems encountered by logistics centers include failures during transportation, failures during handling, failures during storage, and human operational errors. These problems not only increase logistics costs, but also seriously affect logistics efficiency and service quality.

[0003] The existence of these problems further exacerbates the asymmetry of logistics information and leads to inefficient allocation of logistics resources. Asymmetric logistics information means that information transmission between various links in the supply chain is not smooth, while inefficient allocation of logistics resources means that there is waste of resources and time delays in the logistics process. The existence of these problems not only affects the competitiveness of logistics companies, but also poses a challenge to the stability and response speed of the entire supply chain.

[0004] Therefore, developing a logistics simulation system that can effectively solve the above problems is of great significance for improving logistics efficiency, reducing costs, and optimizing resource allocation. This invention aims to build a new type of logistics simulation system through digital twin technology, in order to achieve accurate simulation and optimization of the logistics operation process, thereby improving the operating efficiency and reliability of the entire logistics system. Summary of the invention

[0005] In order to solve various failure problems in the logistics center and the technical problem of low efficiency of logistics operations, the present invention provides a logistics simulation system based on digital twins.

[0006] In order to solve the above technical problems, the present invention provides an eco-board hot pressing and cooling device, comprising the following modules:

[0007] The material module is used to build digital twin models of buildings and equipment in logistics distribution centers;

[0008] A construction module is used to collect and process the information of goods to be transported and digitize it, and to preliminarily construct a digital twin model with the processed digitized information of goods to be transported;

[0009] The simulation module is used to simulate the digital twin model in a virtual environment, generate multiple sets of simulation data, and compare the simulation data with the simulation data through parameter setting to collect the best solution data;

[0010] An evaluation module, used to collect and analyze the simulation data, and visualize data anomalies according to the analysis results;

[0011] Wherein, the building blocks include:

[0012] The acquisition submodule is used to collect and obtain the physical information of each cargo to be transported;

[0013] The verification submodule is used to quickly check the cargo information and supplement and correct the missing or erroneous information;

[0014] The detection submodule is used to inspect and test the equipment in the digital twin model;

[0015] A matching submodule, used for matching a suitable equipment channel for the goods to be transported according to the physical information of the goods to be transported;

[0016] The first storage submodule is used to store the matching results so as to query the reasons for abnormal goods orders in the future;

[0017] The physical information obtained by the acquisition submodule from the goods to be transported includes the size of the goods, the weight of the goods, the temperature required for the logistics of the goods, the protection of the outer packaging of the goods and special notes for the goods;

[0018] The verification submodule quickly scans the information acquired by the acquisition submodule, acquires the physical information for a second time to supplement the information omitted by the acquisition submodule, and verifies and compares the information acquired twice to ensure the accuracy of the simulation data through the digital twin model;

[0019] Among them, the matching submodule calls the historical operation record data of the equipment in the digital twin model, generates visualization charts of time, distance, efficiency and cost based on these data, and selects the equipment channel suitable for establishing a simulation model for the goods to be transported based on these chart information.

[0020] Preferably, in the above technical solution, the simulation module includes:

[0021] The parameter submodule is used to set the target parameters before the simulation and limit the simulation interval;

[0022] The screening submodule is used to screen out all simulation data that reach the preset target parameters after the simulation is completed, and collect them. At the same time, it also screens out simulation data that does not reach the preset target parameters but is below a certain value range of the preset target parameter threshold;

[0023] A second storage submodule is used to store the simulation data that has reached the target and the simulation data that is lower than a preset target parameter threshold within a certain value range after the simulation is completed;

[0024] A comparison submodule is used to perform a secondary simulation on the simulation data within a certain numerical range below the target parameter threshold screened out in the screening submodule to obtain a complete digital twin model;

[0025] The summary submodule is used to summarize and collect the data generated by the primary simulation and the secondary simulation, select the most reasonable and efficient simulation data, and formulate corresponding logistics plans based on these simulation data.

[0026] Preferably, in the above technical solution, the data in the screening submodule that is lower than a preset target parameter threshold within a certain numerical range is lower than 3% of the target parameter threshold.

[0027] Preferably, in the above technical solution, the evaluation module is responsible for collecting data from two simulations, and using these data for analysis to identify factors affecting various types of goods, and further compare the impact of these factors at different times and distances, and generate a visual model diagram based on this.

[0028] Preferably, in the above technical solution, the material module includes the layout parameters, model function parameters and space parameters of the equipment, and also includes the layout parameters and space parameters of the logistics site, so as to ensure the formation of a complete digital twin model of the logistics center.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] The present invention can accurately simulate the problems and defects encountered by the goods to be transported in the logistics process by constructing a digital twin model, so as to select a more reasonable logistics plan from multiple simulation data by adjusting the target parameters, and ensure that the goods can arrive at the logistics destination reasonably and efficiently. Improve the efficiency of cargo operation, generally solve the problems of transportation failures, handling failures, storage failures and human failures in the logistics center, and improve the efficiency of logistics resource allocation. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 A schematic diagram of the structure of a logistics simulation system based on digital twins provided by the present invention;

[0032] Figure 2 A schematic diagram of the structure of a building block in a logistics simulation system based on digital twins provided by the present invention;

[0033] Figure 3 A schematic diagram of the structure of a simulation module in a logistics simulation system based on digital twins provided by the present invention.

[0034] Description of main reference numerals:

[0035] 1-Material module, 2-Construction module, 3-Simulation module, 4-Evaluation module, 21-Acquisition submodule,

[0036] 22 - verification submodule, 23 - detection submodule, 24 - matching submodule, 25 - first storage submodule, 31 - parameter submodule, 32 - screening submodule, 33 - second storage submodule, 34 - comparison submodule, 35 - summary submodule. DETAILED DESCRIPTION

[0037] 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.

[0038] Embodiment 1: Figures 1 to 3 As shown, the present invention provides a logistics simulation system based on digital twins, including the following modules:

[0039] Material module 1, used to build digital twin models of buildings and equipment in logistics distribution centers;

[0040] Construction module 2 is used to collect and process the information of goods to be transported and digitize it, and preliminarily construct a digital twin model with the processed digitized information of goods to be transported;

[0041] Simulation module 3 is used to perform simulation through the digital twin model in a virtual environment, generate multiple sets of simulation data, and compare the simulation data with the simulation data through parameter setting to collect the best solution data;

[0042] The evaluation module 4 is used to collect and analyze the simulation data, and visualize the data anomalies according to the analysis results.

[0043] In the above technical solution, the material module 1 combines the spatial parameters of the buildings and equipment of the logistics distribution center to preliminarily build the digital twin model required for logistics goods, and then the construction module 2 collects all the relevant information of the goods to be transferred and performs corresponding data processing, and verifies and improves the data required for building the digital twin model and performs the first step of storage processing. Simulation is performed based on the data information collected and stored by the construction module 2, and the best solution data of the simulation test data is generated by building a digital twin model to become the best logistics planning solution for the transferred goods, reduce unnecessary logistics failures, and improve the transfer efficiency of logistics goods.

[0044] In this embodiment, the material module 1 includes the layout parameters, model function parameters and space parameters of the equipment, and also includes the layout parameters and space parameters of the logistics site, ensuring the formation of a complete digital twin model of the logistics center.

[0045] In this embodiment, the building block 2 includes:

[0046] The acquisition submodule 21 is used to collect and acquire the physical information of each cargo to be transported;

[0047] Verification submodule 22, used to quickly check the cargo information and supplement and correct missing or erroneous information;

[0048] A detection submodule 23 is used to inspect and test the equipment in the digital twin model;

[0049] A matching submodule 24 is used to match a suitable equipment channel for the goods to be transported according to the physical information of the goods to be transported;

[0050] The first storage submodule 25 is used to store the matching results so as to query the reasons for abnormal goods orders in the future;

[0051] Among them, the acquisition submodule 21 obtains physical information from the goods to be transported, including the size of the goods, the weight of the goods, the temperature required for the logistics of the goods, the outer packaging protection of the goods and the special notes of the goods; fully understanding and recording the relevant physical information of the goods to be transferred can more conveniently and reasonably generate more reasonable solution data through digital twin model simulation.

[0052] Among them, the verification submodule 22 quickly scans the information acquired by the acquisition submodule 21, acquires the physical information for the second time to supplement the information omitted by the acquisition submodule 21, and verifies and compares the information acquired twice to ensure the accuracy of the simulation data through the digital twin model; through the secondary acquisition, it can effectively avoid the situation where the information acquired in the acquisition submodule 21 is incomplete or lost, which in turn leads to redundant routes and loss of goods to be transferred.

[0053] The matching submodule 24 calls the historical operation record data of the equipment in the digital twin model, generates visual charts of time, distance, efficiency and cost based on these data, and selects the equipment channel suitable for establishing a simulation model for the current goods to be transported according to the chart information; the historical information called by the matching submodule 24 is used to match the optimal working equipment for the goods to be transferred, thereby shortening the logistics transfer time and improving the transfer efficiency.

[0054] In this embodiment, if Figure 3 As shown, the simulation module 3 includes: a parameter submodule 31, which is used to set target parameters before simulation and limit the simulation interval;

[0055] The screening submodule 32 is used to screen out all simulation data that reach the preset target parameters after the simulation is completed, and collect them. At the same time, it also screens out simulation data that does not reach the preset target parameters but is below a certain value range of the preset target parameter threshold;

[0056] A second storage submodule 33 is used to store the simulation data that has reached the target and the simulation data that is below a preset target parameter threshold within a certain value range screened out in the screening submodule (32) after the simulation is completed;

[0057] The comparison submodule 34 is used to perform secondary simulation on the simulation data within a certain numerical range below the target parameter threshold screened out in the screening submodule 32 to obtain a complete digital twin model; in this embodiment, as a preference, the data within a certain numerical range below the preset target parameter threshold in the screening submodule 32 is within 3% of the target parameter threshold;

[0058] The summary submodule 35 is used to summarize and collect the data generated by the primary simulation and the secondary simulation, select the most reasonable and efficient simulation data, and formulate corresponding logistics plans based on these simulation data.

[0059] In the above technical solution, the parameter submodule 31 is used to set a relatively conventional and reasonable parameter value to limit the time taken to transfer the goods, thereby limiting the threshold range during data simulation. Then, the screening submodule 32 is used to screen the simulation data within the threshold range and below 3% of the threshold parameter, and the second storage submodule 33 is used to store the relevant test data. Finally, the simulation data stored below 3% of the threshold parameter is simulated again through the comparison submodule 34, and the data of the two simulations are summarized and collected through the summary submodule 35. Finally, the most reasonable and efficient data scheme is selected based on the two simulation data to formulate a logistics plan for the goods to be transferred.

[0060] In this embodiment, the evaluation module 4 is responsible for collecting the data of the two simulations, and using these data for analysis to identify the factors affecting various types of goods, and further compare the impact of these factors at different times and distances, and generate a visual model diagram accordingly; the visual model diagram can clearly show the problems existing in the logistics operation of goods, and facilitate users to take specific technical measures according to specific problems. The influencing factors are such as weather factors, road condition factors, natural disasters and traffic accidents. These include: the impact of haze weather on the visibility of vehicles on the road ahead, the impact of rain and snow on the friction and visibility of the road surface, and the impact of natural disasters such as mudslides and typhoons on the smoothness and safety of traffic roads.

[0061] Embodiment 2: In this embodiment, the digital twin model of the logistics distribution center and equipment is first constructed through the material module 1. The cargo to be transported is a container. The physical information of the container such as weight and size is collected through the acquisition submodule 21. Then, the verification submodule 22 checks whether the collected physical information is correct, whether the information on whether the cargo in the container needs to be waterproof or high temperature resistant is omitted, and makes corresponding corrections and supplements. The detection submodule 23 confirms whether the equipment in the digital twin model is operating normally, and then the matching submodule 24 retrieves the historical operation record data of the equipment, and generates a visual chart of time, distance, efficiency and cost based on these data, and then selects the equipment channel suitable for the container to establish a simulation model based on the information in the visual chart. Finally, the first storage submodule 25 stores all the above physical information and matching results.

[0062] In this embodiment, the target parameters are first set for the time and method of the container to reach the destination, and then the simulation is performed in combination with the previously collected simulation data. After the simulation is completed, all simulation data that reach the target parameters are screened and collected, and the simulation data that does not reach the preset target parameters but is lower than the preset target parameter threshold by 3% are also screened, and then stored in the second storage submodule 33. Finally, the simulation data that is lower than the preset target parameter threshold by 3% is simulated again through the comparison submodule 34 to obtain a complete digital twin model. The two simulation data are summarized through the summary submodule 35, and a corresponding logistics plan is formulated.

[0063] In this embodiment, the evaluation module 4 finally analyzes the collected data to identify factors affecting various types of goods. For example, when encountering heavy snow, the visibility of vehicles on the road becomes shorter, and the road is snowy, causing the logistics speed to slow down, which has a certain impact on the entire logistics process. Then, a visual model diagram of weather factors at different times and distances is formed based on the impact, which facilitates the selection of a more reasonable logistics plan.

[0064] The logistics simulation system based on digital twins uses the most efficient logistics plan based on simulation data, which can ensure that the goods to be transferred in the logistics center arrive at the planned destination smoothly and efficiently. At the same time, it also accurately displays the problems existing in the logistics operation of the goods in a graphical manner, which is convenient for users to perform evasive or improvement operations on them, thereby improving the efficiency of goods operation, generally solving problems such as transportation failures, handling failures, storage failures, and human failures in the logistics center, improving the efficiency of logistics resource allocation, and promoting economic benefits.

[0065] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A logistics simulation system based on digital twins, characterized in that: Includes the following modules: Material module (1), used to build digital twin models of buildings and equipment in logistics distribution centers; A construction module (2) is used to collect and process the information of the goods to be transported and digitize it, and to preliminarily construct a digital twin model based on the processed digitized information of the goods to be transported; A simulation module (3) is used to perform simulation in a virtual environment through a digital twin model, generate multiple sets of simulation data, and compare the simulation data with the simulation data through parameter setting to collect optimal solution data; An evaluation module (4) is used to collect and analyze the simulation data, and visualize the data anomalies according to the analysis results; Wherein, the building block (2) comprises: An acquisition submodule (21) is used to collect and acquire the physical information of each cargo to be transported; A verification submodule (22) is used to quickly check the cargo information and supplement and correct missing or erroneous information; A detection submodule (23), used for inspecting and testing the equipment in the digital twin model; A matching submodule (24), used for matching a suitable equipment channel for the goods to be transported according to the physical information of the goods to be transported; A first storage submodule (25) is used to store the matching results so as to query the reasons for abnormal goods orders in the future; The physical information obtained by the acquisition submodule (21) from the goods to be transported includes the size of the goods, the weight of the goods, the temperature required for the goods logistics, the protection of the outer packaging of the goods and special notes for the goods; The checking submodule (22) quickly scans the information acquired by the acquiring submodule (21), acquires the physical information a second time to supplement the information omitted by the acquiring submodule (21), and checks and compares the information acquired twice to ensure the accuracy of the simulation data performed by the digital twin model; The matching submodule (24) calls the historical operation record data of the equipment in the digital twin model, generates visual charts of time, distance, efficiency and cost based on these data, and selects the equipment channel suitable for establishing a simulation model for the goods to be transported based on these chart information.

2. The logistics simulation system based on digital twin according to claim 1 is characterized in that: The simulation module (3) comprises: A parameter submodule (31) is used to set target parameters before simulation and to limit the simulation interval; A screening submodule (32) is used to screen out all simulation data that reach the preset target parameter after the simulation is completed, and collect them, and at the same time, screen out simulation data that does not reach the preset target parameter but is below a certain value range of the preset target parameter threshold; A second storage submodule (33) is used to store the simulation data that has reached the target and the simulation data that is below a preset target parameter threshold within a certain value range screened out in the screening submodule (32) after the simulation is completed; A comparison submodule (34) is used to perform a secondary simulation on the simulation data within a certain numerical range below the target parameter threshold screened out in the screening submodule (32) to obtain a complete digital twin model; The summary submodule (35) is used to summarize and collect the data generated by the primary simulation and the secondary simulation, select the most reasonable and efficient simulation data, and formulate corresponding logistics plans based on these simulation data.

3. The logistics simulation system based on digital twin according to claim 2 is characterized in that: The screening submodule (32) filters data that is lower than a preset target parameter threshold by a certain numerical range, i.e., data within 3% of the target parameter threshold.

4. The logistics simulation system based on digital twin according to claim 1 is characterized in that: The evaluation module (4) is responsible for collecting the data from the two simulations and using the data for analysis to identify the factors affecting each type of cargo, and further compare the impact of these factors at different times and distances, and generate a visual model diagram accordingly.

5. The logistics simulation system based on digital twin according to claim 1 is characterized in that: The material module (1) includes layout parameters, model function parameters and space parameters of the equipment, and also includes layout parameters and space parameters of the logistics site, so as to ensure the formation of a complete digital twin model of the logistics center.

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