Method, device, medium and product for determining a logistics transfer field planning layout scheme

Abstract

This application provides a method, equipment, medium, and product for determining the planning and layout scheme of a logistics transit center. The method includes: generating at least one candidate planning and layout scheme based on the planning and layout objectives of the target logistics transit center; the candidate planning and layout scheme includes at least one of the following: facility layout planning, equipment configuration planning, cargo flow planning, space utilization planning, and personnel configuration planning for the target logistics transit center; simulating the at least one candidate planning and layout scheme using a digital twin model corresponding to the target logistics transit center, obtaining simulation results for each candidate planning and layout scheme; and determining the planning and layout scheme of the target logistics transit center based on the simulation results. This enables the formulated logistics transit center planning and layout scheme to more rationally plan the spatial layout, improve the utilization rate of storage and operating space in the logistics transit center, and dynamically adjust and optimize the planning and layout to adapt to the constantly changing operating environment.

Description

Technical Field

[0001] This application relates to the field of logistics processing, and in particular to a method, equipment, medium and product for determining the planning and layout scheme of a logistics transfer station. Background Technology

[0002] In today's era of globalization and rapid e-commerce development, the logistics industry faces both enormous challenges and opportunities. As a crucial node in the logistics system, the rationality of the planning and layout of logistics transit hubs directly impacts logistics efficiency, cost, and service quality.

[0003] Traditional logistics transit center planning and layout schemes often rely on manual experience.

[0004] However, this method of formulating logistics transit center planning and layout schemes based on personal experience is highly subjective, easily leading to uncertainty in the planning and layout of logistics transit centers, making it difficult to achieve an optimal layout, and greatly restricting the realization of the potential efficiency of logistics transit centers. In addition, once the layout of traditional logistics transit centers is determined, it is difficult to change. This static layout cannot respond to and adapt to new business needs in a timely manner, resulting in low operational efficiency. Summary of the Invention

[0005] Based on the aforementioned defects and shortcomings of the existing technology, this application proposes a method, equipment, medium, and product for determining the planning and layout scheme of a logistics transit center. This enables the formulated planning and layout scheme of the logistics transit center to more rationally plan the spatial layout, improve the utilization rate of the storage and operation space of the logistics transit center, and dynamically adjust and optimize the planning and layout to adapt to the ever-changing operating environment.

[0006] According to a first aspect of the embodiments of this application, a method for determining a planning layout scheme for a logistics transshipment center is provided. The method includes: generating at least one candidate planning layout scheme based on the planning layout objectives of a target logistics transshipment center; the candidate planning layout scheme includes at least one of facility layout planning, equipment configuration planning, cargo flow planning, space utilization planning, and personnel configuration planning in the target logistics transshipment center; simulating the at least one candidate planning layout scheme using a digital twin model corresponding to the target logistics transshipment center to obtain simulation results for each candidate planning layout scheme; and determining the planning layout scheme for the target logistics transshipment center based on the simulation results; the planning layout scheme refers to a series of plans and arrangements designed to achieve the planning layout objectives.

[0007] According to a second aspect of the present application, an electronic device is provided, comprising: a memory and a processor; the memory is connected to the processor and is used to store a program; the processor is used to implement the method for determining the logistics transit planning and layout scheme as described in the first aspect of the present application by running the program in the memory.

[0008] According to a third aspect of the present application, a storage medium is provided, on which a computer program is stored, and when the computer program is run by a processor, it implements the method for determining the planning and layout scheme of a logistics transit center as described in the first aspect of the present application.

[0009] According to a fourth aspect of the present application, a computer program product is provided, including computer program instructions, which, when executed by a processor, cause the processor to implement the method for determining a logistics transit site planning and layout scheme as described in the first aspect of the present application.

[0010] According to a fifth aspect of the embodiments of this application, a chip is provided, including a processor and a data interface. The processor reads and runs a program stored in a memory through the data interface to execute the method for determining the planning and layout scheme of a logistics transit center as described in any one of the first aspects of the embodiments of this application.

[0011] This application provides a method, equipment, medium, and product for determining the planning and layout scheme of a logistics transit center. It generates at least one candidate planning and layout scheme based on the planning and layout objectives of the target logistics transit center. The candidate planning and layout scheme includes at least one of the following: facility layout planning, equipment configuration planning, cargo flow planning, space utilization planning, and personnel configuration planning. The at least one candidate planning and layout scheme is simulated using a digital twin model corresponding to the target logistics transit center, obtaining simulation results for each candidate planning and layout scheme. Based on the simulation results, a series of plans and arrangements designed to achieve the planning and layout objectives of the target logistics transit center are determined. Because the candidate planning and layout schemes generated based on the planning and layout objectives are simulated using a digital twin model corresponding to the target logistics transit center, and the planning and layout scheme with performance indicators closest to the planning and layout objectives is determined based on the simulation results and implemented, the formulated logistics transit center planning and layout scheme can more rationally plan the spatial layout, improve the utilization rate of storage and operating space in the logistics transit center, and dynamically adjust and optimize the planning and layout to adapt to the constantly changing operating environment. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0013] Figure 1 A flowchart illustrating the method for determining the planning and layout scheme of a logistics transit center as provided in the embodiments of this application;

[0014] Figure 2 A flowchart illustrating a planning and layout scheme for determining a target logistics transit center based on simulation results, provided as an embodiment of this application;

[0015] Figure 3 A flowchart illustrating an optimization method for an optimization algorithm provided in an embodiment of this application;

[0016] Figure 4 A schematic diagram of the structure of the device for determining the planning and layout scheme of a logistics transfer station provided in the embodiments of this application;

[0017] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0018] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] First, the technical terms involved in the embodiments of this application will be explained:

[0020] Digital Twin Technology is a simulation process that integrates multiple disciplines, multiple physical quantities, multiple scales, and multiple probabilities. It reflects the entire life cycle of the corresponding physical equipment by completing mapping in virtual space.

[0021] Logistics transit hubs are comprehensive logistics nodes integrating multiple functions such as cargo collection, sorting, storage, loading, and transshipment. Goods from different origins converge at the transit hub, where they are classified, sorted, and recombined according to destination and cargo type before being dispatched to various destinations. For example, a logistics transit hub in a city may receive goods from all over the country destined for that city and surrounding areas, sort these goods according to different regions and customers, and then arrange for vehicles to load them and transport them to the final distribution point. Logistics transit hubs play a crucial role in regulating the pace of logistics transportation, optimizing transportation routes, and improving transportation efficiency. They can consolidate small batches of goods to form large-scale transportation, reducing transportation costs; at the same time, they can also temporarily store goods, buffering the time difference between supply and demand.

[0022] The planning and layout of a logistics transit center mainly includes zoning planning, equipment configuration, transportation planning, space utilization, and safety and environmental protection planning. Zoning planning includes warehousing areas, sorting areas, loading and unloading areas, office areas, and auxiliary functional areas. Equipment configuration typically includes warehousing equipment, handling equipment, sorting equipment, and information equipment. Transportation planning typically includes vehicle scheduling and transportation routes. Space utilization typically includes both horizontal layout and vertical space utilization. Safety and environmental protection planning typically includes safety facilities and environmental protection measures.

[0023] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only one component of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0024] Before introducing the solution proposed in this application, the relevant technologies will first be introduced:

[0025] In today's era of globalization and rapid e-commerce development, the logistics industry faces both enormous challenges and opportunities. Consumers' diversified demands for goods and the booming cross-border trade have led to an explosive growth in logistics volume. At the same time, customers' expectations for the timeliness and quality of logistics services are continuously rising, undoubtedly placing unprecedented pressure on the logistics industry.

[0026] As a crucial node in the logistics system, the rationality of the planning and layout of logistics transit hubs directly impacts logistics efficiency, cost, and service quality. An efficient and rationally planned layout of logistics transit hubs enables goods to circulate quickly and accurately within the logistics network, reducing transportation costs and improving customer satisfaction.

[0027] Traditional logistics transit hub planning and layout schemes often rely on manual experience. Planners work based on their own experience, intuition, and subjective judgment. However, this approach, relying on personal experience, is highly subjective and prone to uncertainty, making it difficult to achieve an optimal layout and significantly limiting the potential effectiveness of logistics transit hubs. Furthermore, once a traditional logistics transit hub layout is determined, it is difficult to change. This static layout model lacks flexibility and adaptability, failing to respond promptly to and adapt to new business needs, leading to low operational efficiency. Simultaneously, increased cargo turnaround time within the logistics transit hub and longer waiting times for loading and unloading vehicles not only waste resources but also reduce the market competitiveness of logistics companies and hinder the healthy development of the logistics industry.

[0028] Based on this, embodiments of this application provide a new method, equipment, medium, and product for determining the planning and layout scheme of a logistics transit center. By generating at least one candidate planning and layout scheme according to the planning and layout objectives of the target logistics transit center, the method generates at least one candidate planning and layout scheme. The candidate planning and layout scheme includes at least one of the following: facility layout planning, equipment configuration planning, cargo flow planning, space utilization planning, and personnel configuration planning for the target logistics transit center. The method simulates the at least one candidate planning and layout scheme using a digital twin model corresponding to the target logistics transit center, obtaining simulation results for each candidate planning and layout scheme. Based on the simulation results, the planning and layout scheme of the target logistics transit center is determined. Because the candidate planning and layout schemes generated based on the planning and layout objectives are simulated using a digital twin model corresponding to the target logistics transit center, and the planning and layout scheme with performance indicators closest to the planning and layout objectives is determined based on the simulation results and implemented, the formulated logistics transit center planning and layout scheme can more rationally plan the spatial layout, improve the utilization rate of storage and operating space in the logistics transit center, and dynamically adjust and optimize the planning and layout to adapt to the constantly changing operating environment.

[0029] The following describes in detail, with reference to the accompanying drawings, the method for determining the planning and layout scheme of logistics transit centers provided in the embodiments of this application.

[0030] Exemplary methods

[0031] Figure 1 This is a flowchart illustrating the method for determining the planning and layout scheme of a logistics transshipment center as provided in this application embodiment. Please refer to... Figure 1 In an exemplary embodiment, the method for determining the planning and layout scheme of the provided logistics transshipment center may include the following steps:

[0032] Step 100: Based on the planning and layout objectives of the target logistics transit center, generate at least one candidate planning and layout scheme; the candidate planning and layout scheme includes at least one of the following: facility layout planning, equipment configuration planning, cargo flow planning, space utilization planning, and personnel configuration planning for the target logistics transit center. Step 110: Simulate the at least one candidate planning and layout scheme using a digital twin model corresponding to the target logistics transit center, obtaining simulation results for each candidate planning and layout scheme. Step 120: Based on the simulation results, determine the planning and layout scheme for the target logistics transit center.

[0033] The planning and layout scheme refers to a series of plans and arrangements designed to achieve the planning and layout objectives. The planning and layout objectives may include at least one of the following: expected operational efficiency, expected operating costs, and expected space utilization.

[0034] Expected operational efficiency typically refers to the ability of a logistics transit hub to complete logistics tasks within a unit of time, encompassing multiple stages such as loading and unloading, sorting, transportation, and storage of goods. Its core objective is to ensure that goods circulate within the transit hub at the fastest speed and with the highest accuracy, reducing the time goods spend at each stage and achieving an efficient logistics operation process.

[0035] The target of expected operating costs aims to control various expenses incurred by logistics transit centers during daily operations, including equipment purchase and maintenance costs, labor costs, energy consumption costs, site rental costs, and cargo damage costs. Setting expected operating costs requires minimizing these expenses while ensuring the quality of logistics services, thereby maximizing the economic benefits for logistics companies.

[0036] Expected space utilization focuses on maximizing the storage of goods, the placement of equipment, and the conduct of various logistics operations within a limited logistics transit area. It emphasizes the full and rational use of space resources within the logistics transit area to improve its carrying capacity and efficiency.

[0037] It is understandable that in the actual planning and layout of logistics transit hubs, these planning and layout objectives are often interconnected and mutually influential. For example, improving operational efficiency may require increased equipment investment, thereby affecting operating costs; while optimizing space utilization may sometimes impact operational processes, thus affecting operational efficiency. Therefore, among some feasible implementation methods, these planning and layout objectives can be comprehensively weighed to formulate the most suitable planning and layout scheme for the development of logistics transit hubs.

[0038] It should be noted that specific planning and layout objectives can be set according to actual business needs, and this embodiment does not impose specific limitations on them.

[0039] Candidate planning layout schemes refer to planning layout schemes generated based on planning layout objectives that have not been simulated by a digital twin model corresponding to the target planning layout system. The final planning layout scheme of the target planning layout system is output after simulation by a digital twin model.

[0040] At least one candidate planning layout scheme is a different planning layout scheme that is generated based on the planning layout objectives of the target planning layout system. Each candidate planning layout scheme may include at least one of the following: facility layout planning, equipment configuration planning, cargo flow planning, space utilization planning, and personnel configuration planning in the target logistics transfer center.

[0041] The facility layout plan determines the specific location and area of ​​various facilities within the logistics transit center, such as warehouses, sorting workshops, loading and unloading platforms, office areas, and parking lots. For example, considering the convenience of goods entering and leaving, loading and unloading platforms are located on the side closest to the main transportation roads; different types of warehouse areas are divided according to the storage needs of different goods.

[0042] Equipment configuration planning determines the types, quantities, and placement of required logistics equipment. This includes forklifts, racking, conveyors, sorting equipment, etc. For example, based on the flow and weight of goods, an appropriate number and load-bearing capacity of forklifts are configured; based on the storage method of goods, different types of racking such as pallet racking and mezzanine racking are selected, and their layout within the warehouse is planned.

[0043] Cargo flow planning is used to design the entire flow path and operational process of goods within a transit hub, from warehousing, storage, sorting to outbound. For example, it plans which area will conduct initial inspection and registration of goods after they enter the logistics transit hub, and then determine their storage location, as well as the order and method of subsequent sorting and outbound processing based on the category and destination of the goods.

[0044] Space utilization planning will fully consider how to maximize the use of space in the logistics transit area. This may involve adopting three-dimensional storage methods, such as setting up multi-layer shelves; and rationally planning the width of aisles to reduce the space occupied by aisles while ensuring the smooth passage of goods and equipment.

[0045] Staffing planning can determine the required number of personnel, job positions, and work schedules based on various work processes and workloads. For example, a sufficient number of warehouse managers can be assigned to be responsible for the storage and inventory of goods, and the working hours and shifts of sorters can be reasonably allocated according to the busyness of sorting operations.

[0046] After generating at least one candidate planning layout scheme based on the planning layout objectives, the at least one candidate planning layout scheme is simulated using a pre-built digital twin model corresponding to the target logistics transfer center. This simulates the operation of each candidate planning layout scheme in the target logistics transfer center. If problems occur during the simulation, the candidate planning layout scheme can be adjusted accordingly to ensure that the candidate planning layout scheme can efficiently and accurately achieve the planning layout objectives in actual application.

[0047] The digital twin model is a precise mapping of the target logistics transit center in a virtual environment, built upon its actual structure, equipment parameters, and business processes. Each generated candidate layout plan is input into the digital twin model, which then simulates the actual operation of the logistics transit center under that plan. For example, the digital twin model simulates the flow of goods between various facilities, calculates the time required for each step, as well as the operating status of equipment and the workload of personnel. Through simulation, a series of data can be obtained, such as the average turnaround time of goods, equipment utilization rate, and operational efficiency at different times. These data constitute the simulation results corresponding to each candidate layout plan.

[0048] In this way, by simulating the operation of each candidate planning layout scheme deployed in the target logistics transfer center, the formulated logistics transfer center planning layout scheme can more rationally plan the spatial layout and best meet the planning layout objectives.

[0049] After obtaining the simulation results for each candidate planning layout scheme, the simulation results of each candidate scheme are analyzed to compare their performance in meeting the planning layout objectives. For example, the operational efficiency under each scheme is compared to see if it approaches or reaches the expected operational efficiency target, whether the operating cost is within the expected operating cost range, and whether the space utilization rate reaches or exceeds the expected space utilization rate. Taking all these factors into consideration, the scheme that performs best in all aspects and best meets the planning layout objectives is selected as the final planning layout scheme for the target logistics transfer center.

[0050] The simulation results may include performance indicators corresponding to each candidate planning layout scheme. When determining the planning layout scheme for the target logistics transshipment center based on the simulation results, specific details can be found by referring to... Figure 2 The illustrated embodiment, as Figure 2 As shown, this process may include steps 200 to 220:

[0051] Step 200: Compare the performance indicators of each candidate planning layout scheme with the planning layout target to obtain simulation results. Step 210: Determine the target candidate planning layout scheme from the at least one candidate planning layout scheme based on the simulation results; the target candidate planning layout scheme is the candidate planning layout scheme whose performance indicators are closest to the planning layout target among the at least one candidate planning layout schemes. Step 220: Optimize the target candidate planning layout scheme based on an optimization algorithm to obtain the planning layout scheme of the target planning layout system.

[0052] The performance indicators corresponding to each candidate planning layout scheme are used to quantify the performance of the candidate planning layout scheme in different aspects. For example, for the planning layout scheme of the target logistics transfer center, the performance indicators may include operational efficiency (such as the number of goods sorted per hour), operating costs (monthly equipment maintenance costs, total labor costs, etc.), space utilization rate (the ratio of the actual space occupied by stored goods to the total space of the transfer center), etc.

[0053] The performance indicators of each candidate layout scheme are compared with the pre-set layout goals. The layout goals are ideal values ​​set based on actual needs and expectations, such as an expected operational efficiency of 1500 items per hour, an expected monthly operating cost of no more than 800,000 yuan, and an expected space utilization rate of 85%. By comparing these, the differences between each candidate layout scheme and the target values ​​in various performance indicators are obtained; this is the simulation result. For example, candidate layout scheme A has an operational efficiency of 1300 items per hour, which is 200 items less than the target value of 1500 items; its monthly operating cost is 850,000 yuan, exceeding the target value by 50,000 yuan; and its space utilization rate is 80%, which is 5% less than the target value.

[0054] Taking into account the simulation results of all candidate layout schemes, the scheme with the performance indicators closest to the planning layout target was selected as the target candidate layout scheme. This requires a comprehensive evaluation of the differences in various performance indicators, and cannot be judged based on just one indicator. For example, candidate layout scheme B has an operating efficiency of 1450 pieces per hour, an operating cost of 780,000 yuan per month, and a space utilization rate of 83%; candidate layout scheme C has an operating efficiency of 1200 pieces per hour, an operating cost of 750,000 yuan per month, and a space utilization rate of 86%. After comparison, it was found that candidate layout scheme B has the smallest overall gap with the planning layout target in all indicators, so candidate layout scheme B was selected as the target candidate layout scheme.

[0055] After identifying the target candidate layout schemes, optimization algorithms are used to refine and improve them, ultimately resulting in a layout scheme for the target logistics transit center that meets actual needs. For example, after adjustment by the optimization algorithm, the warehouse layout in the target candidate layout scheme is more compact and rational, the number of equipment is optimized, the operating efficiency is increased to 1,550 pieces per hour, the operating cost is reduced to 760,000 yuan per month, and the space utilization rate is increased to 87%. This optimized scheme is the final layout scheme.

[0056] According to the technical solution of this application embodiment, at least one candidate planning layout scheme is generated based on the planning layout objectives of the target logistics transit center. The candidate planning layout scheme includes at least one of the following: facility layout planning, equipment configuration planning, cargo flow planning, space utilization planning, and personnel configuration planning within the target logistics transit center. The at least one candidate planning layout scheme is simulated using a digital twin model corresponding to the target logistics transit center, obtaining simulation results for each candidate planning layout scheme. Based on the simulation results, the planning layout scheme for the target logistics transit center is determined. Because the candidate planning layout schemes generated based on the planning layout objectives are simulated using a digital twin model corresponding to the target logistics transit center, and the planning layout scheme with performance indicators closest to the planning layout objectives is determined based on the simulation results and implemented, the formulated logistics transit center planning layout scheme can more rationally plan the spatial layout, improve the utilization rate of storage and operating space in the logistics transit center, and dynamically adjust and optimize the planning layout to adapt to the constantly changing operating environment.

[0057] Specifically, in order to establish a digital twin model for simulating candidate planning layout schemes, this embodiment provides an optional implementation that can establish a digital twin model corresponding to the target logistics transfer station. The process of establishing the digital twin model involves two main stages: data collection and processing.

[0058] During the data collection phase, the data to be collected includes basic data and real-time operational data. Basic data refers to geographic information, facility layout, and equipment parameters. Geographic information specifically refers to obtaining detailed information about the target logistics transit point's geographical location, including latitude and longitude, topography, and surrounding transportation conditions (such as the location of nearby highways, railways, ports, and connecting roads). This geographic information is crucial for planning the connection between the target logistics transit point and the external transportation network, optimizing transportation routes, and considering the impact of natural environmental factors on logistics operations. For example, if the transit point is near multiple highways, the design of fast-moving cargo access channels can be emphasized in the digital twin model; if it is located in a complex terrain area, it is necessary to consider how to rationally design the site to adapt to the terrain conditions. Facility layout refers to accurately mapping the actual layout of various facilities within the target logistics transit point, such as the location, shape, and size of warehouses, sorting workshops, loading and unloading platforms, office areas, parking lots, and maintenance workshops. The relative positional relationships between facilities must be clearly defined, including information such as aisle width and facility spacing. This data forms the basis for constructing the facility layout in the digital twin model and directly affects the accuracy of subsequent simulations of cargo flow, equipment operation, and personnel work. For example, knowing the layout of the warehouse shelving and its distance from the sorting area allows for accurate simulation of the transport path and time of goods from storage to sorting. Equipment parameters involve collecting detailed parameters for various logistics equipment within the target logistics transfer area. For forklifts, this includes recording their type, load capacity, travel speed, turning radius, etc.; for shelving, it includes understanding their type (e.g., pallet racking, mezzanine racking), number of layers, load capacity per layer, number of storage locations, etc.; for conveyors, it includes parameters such as conveying speed, conveying length, conveying width, and motor power. These equipment parameters will be used to simulate the operating status and performance of the equipment in the digital twin model, such as simulating the operation time and efficiency of forklifts during goods handling based on their load capacity and travel speed.

[0059] Real-time operational data collection can be achieved by deploying sensors at key locations in the target logistics transit area using IoT devices. For example, weight sensors can be installed at cargo entrances and exits to monitor the weight of incoming and outgoing goods in real time; vibration and temperature sensors can be installed on equipment to monitor its operating status, and any abnormal vibrations or excessive temperatures can be promptly reported to the system. RFID (Radio Frequency Identification) technology can be used to tag goods, pallets, and equipment, allowing readers to obtain real-time location information, equipment usage status, and the location and workflow of personnel. For instance, when RFID-tagged goods pass through a reader in a specific area, the system can automatically record the arrival time, batch number, and other information; personnel wearing RFID wristbands can be tracked in real time within the transit area, allowing for monitoring of their work progress and operational procedures.

[0060] After collecting real-time operational data, the data collected through various technical means will be integrated to remove duplicate, erroneous, or invalid data. The data will undergo preliminary cleaning and transformation to ensure a unified format, facilitating subsequent association with the virtual model. For example, the timestamp format of data collected from different sensors will be standardized, and analog signals collected by the weight sensor will be converted to digital signals and calibrated to ensure data accuracy and usability.

[0061] Subsequently, based on the scale, complexity, and modeling requirements of the target logistics transit center, professional 3D modeling software such as Autodesk 3ds Max, SolidWorks, and SketchUp are selected to create accurate 3D models.

[0062] Using collected geographic information, facility layout, and equipment parameters, a virtual model of the transit hub is gradually constructed in 3D modeling software. First, the terrain is created based on the geographic information to determine the geographical location and surrounding environment of the target logistics transit hub in the virtual environment. Then, according to the facility layout data, precise 3D models of various facilities such as warehouses, sorting workshops, and loading / unloading platforms are drawn and placed in the correct relative positions. For equipment, corresponding 3D models are created based on their parameters, such as forklifts, shelves, and conveyors, and the size, shape, and detailed features of the equipment are accurately set. Through meticulous modeling, the virtual model achieves a high degree of consistency with the target logistics transit hub in appearance and structure.

[0063] By linking processed real-time operational data with a constructed 3D virtual model, a data mapping relationship is established, enabling the virtual model to reflect the operational status of the target logistics transit center in real time. For example, the volume of goods entering and leaving the transit center is correlated with changes in the quantity and location of goods in the virtual model. When actual goods enter the transit center, the corresponding quantity of goods in the virtual model increases and its location is updated. Equipment operating status data is connected to the equipment models in the virtual model. When equipment malfunctions in reality, the equipment in the virtual model will display the malfunction status with a specific color or warning symbol.

[0064] With the continuous collection and transmission of real-time operational data, the digital twin model can be continuously updated. Through periodic or real-time data synchronization mechanisms, it is ensured that the virtual model remains consistent with the latest status of the target logistics transit center. For example, at regular intervals (e.g., every minute), the latest collected data on cargo locations, equipment operating parameters, and other information are updated into the digital twin model, enabling it to accurately simulate the operation of the target logistics transit center at different times. This provides real-time and accurate data for subsequent simulation analysis and decision support.

[0065] Furthermore, in order to optimize the optimization algorithm proposed in the embodiments of this application, and to further optimize the target candidate planning layout scheme, such as... Figure 3 As shown, the method provided in this embodiment may further include the following steps 300 to 320:

[0066] Step 300: Obtain the historical planning layout scheme of the target logistics transfer station at a preset time interval. Step 310: Optimize the optimization algorithm based on the historical planning layout scheme. Step 320: Optimize the target candidate planning layout scheme based on the optimized algorithm.

[0067] The preset time interval can be set according to actual needs. For example, it can be set to obtain the historical planning layout scheme once every 24 hours, or once every 7 days, or once every 30 days. This embodiment does not limit the specific time interval set.

[0068] At each preset time interval, historical planning and layout schemes used in the past are retrieved from the logistics transit center's record system. These historical planning and layout schemes contain detailed information on facility layouts, equipment configurations, and cargo flow plans developed at different times to adapt to business needs. For example, in the past, different planning and layout schemes may have been used during peak and off-peak seasons due to seasonal fluctuations in business volume; or, as the business expanded, the target logistics transit center may have undergone multiple upgrades and renovations, and the planning and layout schemes used in each renovation belong to the historical planning and layout schemes.

[0069] Next, by analyzing historical planning and layout schemes, the effectiveness of each scheme in actual operation is evaluated. For example, the performance of key performance indicators such as operational efficiency, operating costs, and space utilization during the implementation period is analyzed. For instance, by comparing data such as average sorting time of goods, equipment failure rate, and actual warehouse storage capacity under different historical planning and layout schemes, it is possible to identify which historical planning and layout schemes performed well in which aspects and which schemes had obvious shortcomings, thus obtaining the analysis results.

[0070] Based on the analysis of historical planning and layout schemes, existing optimization algorithms are adjusted and improved. For example, if a certain historical planning and layout scheme is found to be significantly effective in improving operational efficiency, the characteristics of that scheme can be analyzed to identify the corresponding algorithm parameters or logical structure, which can then be incorporated into the optimization algorithm to obtain an optimized version.

[0071] The optimized algorithm is applied to the identified target candidate planning layout scheme. The optimized algorithm will recalculate and adjust each element in the target candidate planning layout scheme, such as the location of facilities, the quantity and type of equipment, and the flow path of goods, according to the new rules and parameters.

[0072] In this way, by optimizing the optimization algorithm and using the optimized algorithm to improve the target candidate planning layout scheme, the resulting planning layout scheme can be further improved in terms of operational efficiency, operating costs, and space utilization.

[0073] After determining the planning and layout scheme of the target logistics transit center based on the simulation results, in order to ensure the effective implementation of the planning and layout scheme, the method of this embodiment may further include: after deploying the planning and layout scheme in the target logistics transit center, using the digital twin model to monitor the operation status of the target logistics transit center in real time.

[0074] Once the planning and layout scheme for the target logistics transit center is determined, the scheme will be applied to the target logistics transit center. This means that facilities will be constructed, adjusted or relocated according to the plan, corresponding equipment will be configured, cargo flow will be planned and personnel positions will be arranged, so that the actual operation of the logistics transit center will proceed in accordance with the requirements of the new scheme.

[0075] Digital twin models, as precise virtual mappings of target logistics transit points, play a crucial role in real-time monitoring after the planning and layout scheme is deployed. For example, using IoT devices, sensors, RFID, and other technologies, various data related to the actual operation of the target logistics transit point are collected in real time, such as the real-time location and quantity of goods, equipment operating parameters (e.g., operating speed, temperature, energy consumption), the work status of personnel (e.g., work location, execution of operating procedures), and the progress of operations in each area. This data is transmitted to the digital twin model in real time via network.

[0076] The digital twin model dynamically updates its own status based on received real-time data, ensuring a high degree of consistency with the actual operational status of the target logistics transit center. The virtual model provides a clear and intuitive view of the target logistics transit center's real-time operations, showing, for example, the flow of goods in different areas, whether equipment is functioning properly, and whether there are any issues such as cargo backlog or equipment malfunctions.

[0077] According to the technical solution of this embodiment, real-time monitoring through a digital twin model can promptly identify discrepancies between the operational process and the planned layout of the target logistics transit center, or new problems that arise. For example, if the actual traffic flow on a certain cargo transport channel far exceeds the planned expectations, causing cargo congestion, the digital twin model can quickly pinpoint the problem and provide a basis for timely adjustments. This allows for timely measures to optimize and adjust the operational process, ensuring the effective execution of the planned layout and achieving the expected goals of improving logistics efficiency, reducing costs, and enhancing service quality, thus guaranteeing the efficient and stable operation of the logistics transit center.

[0078] To achieve dynamic optimization of the planning and layout scheme of the target logistics transit center, in the method of this embodiment, real-time monitoring data and feedback data of the target logistics transit center can also be obtained through the digital twin model; based on the real-time monitoring data and the feedback data, an adjustment scheme for the planning and layout scheme of the target logistics transit center is determined; the adjustment scheme includes at least one of equipment location adjustment, work process optimization, and resource reallocation.

[0079] Specifically, the digital twin model, through technologies such as the Internet of Things (IoT), sensors, and RFID, is closely linked to the actual equipment and operational processes of the target logistics transit center, collecting various key data in real time. For example, sensors can monitor the operating status of equipment, such as forklift speed, rack load capacity, and conveyor operating rate; RFID tags can track the real-time location of goods within the transit center, revealing when goods enter a particular area and the duration of their stay there; and monitoring equipment such as cameras can capture the operational behavior of workers and the on-site operational situation. This data constitutes real-time monitoring data, reflecting the current actual operational status of the target logistics transit center.

[0080] In addition to real-time monitoring data, feedback data is also necessary. This data comes from a wide range of sources, including operator feedback on work processes (e.g., finding certain steps cumbersome or inefficient); customer feedback on logistics services (e.g., delivery delays, sorting errors); and data collected from financial and management perspectives, such as changes in operating costs and resource utilization rates in different areas. This feedback data reveals problems in the actual implementation of the planned layout scheme from various angles.

[0081] After acquiring real-time monitoring and feedback data, these data are comprehensively analyzed. By comparing the actual data with the expected indicators in the planned layout, discrepancies are identified. For example, if real-time monitoring data shows severe cargo accumulation in a sorting area and operational efficiency far below expectations, combined with operator feedback that the equipment layout in that area is unreasonable and causes operational inconvenience, it can be determined that there is a problem with the planning of that area. Subsequently, based on the data analysis results, specific adjustment plans are determined.

[0082] For example, if the location of certain equipment is found to affect the smooth flow of goods or operational efficiency, consider adjusting the equipment's location. For instance, move the charging area for frequently used forklifts from a location far from the loading and unloading area to a suitable location closer to the loading and unloading area without affecting other operations, thereby reducing the time for forklifts to travel back and forth for charging and improving their work efficiency.

[0083] For example, based on the cumbersome or unreasonable aspects of the work processes pointed out in the feedback data, the work processes can be redesigned and optimized. For instance, if it is found that goods need to undergo too many inspection and registration steps upon entering the warehouse, resulting in excessively long warehousing times, these processes can be simplified, unnecessary steps can be reduced, and overall operational efficiency can be improved.

[0084] For example, resources can be reallocated based on the uneven resource utilization in different areas as reflected in real-time monitoring data. For instance, if the shelf utilization rate in a certain storage area is consistently low, while another area frequently experiences insufficient storage space, some shelf resources can be transferred from the low-utilization area to the high-demand area. Alternatively, staffing can be flexibly adjusted according to changes in business volume at different times, increasing the number of staff during peak periods and appropriately reducing them during off-peak periods to achieve rational utilization of human resources.

[0085] According to the technical solution of this embodiment, the data obtained by the digital twin model can be used to promptly identify problems in the actual operation of the target logistics transit center's planning and layout scheme, and to formulate targeted adjustment plans to ensure that the target logistics transit center is always in a state of efficient operation.

[0086] To achieve intelligent early warning for target logistics transit points, the method in this application embodiment can also obtain real-time data of the target logistics transit point through the digital twin model; the real-time data includes at least cargo entry and exit data, equipment operating status data, and personnel activity data; based on the real-time data and preset early warning thresholds, early warnings are issued for potential operational problems existing in the target logistics transit point.

[0087] Specifically, digital twin models can connect to various data collection devices in the target logistics transit center to acquire real-time data on the volume of goods entering and leaving the center. For example, by installing sensors or using RFID technology at the entrance and exit of goods, the system can automatically record information such as the quantity, batch number, and entry / exit time of each shipment. This data can intuitively reflect the current scale and trend of goods flow in the target logistics transit center, helping to understand the level of business activity and whether there are any abnormal fluctuations in cargo flow.

[0088] By utilizing various sensors installed on logistics equipment, such as temperature sensors, vibration sensors, and current sensors, digital twin models can collect real-time data on equipment operating status. For forklifts, data such as travel speed, operating time, battery level, and temperature and vibration of key components can be obtained; for racks, their load-bearing capacity and structural stability can be monitored; and for conveyors, information such as motor speed, belt tension, and cargo conveying capacity can be obtained. This data comprehensively reflects the operational health of the equipment.

[0089] By equipping workers with positioning devices (such as Bluetooth positioning wristbands) or utilizing surveillance cameras combined with image recognition technology, digital twin models can acquire real-time activity data of workers. This includes the worker's location, movement trajectory, working hours, and time spent in different work areas. This data helps to understand whether the work allocation is reasonable and whether there are instances of low work efficiency or idle personnel.

[0090] In practical applications, corresponding preset warning thresholds can be set for various real-time data based on the historical operational data of the target logistics transit center, industry standards, and actual business needs. For example, based on past experience and equipment technical parameters, a warning threshold can be set for forklifts operating continuously for more than 8 hours. When the forklift's operating time approaches or reaches this threshold, it may indicate that the equipment is being overused and requires maintenance to avoid sudden malfunctions. For cargo inflow and outflow, a normal range for hourly cargo throughput can be set. If it exceeds or falls below this range by a certain percentage, it may indicate an anomaly in the business process.

[0091] The digital twin model continuously analyzes the acquired real-time data, comparing each data indicator with its corresponding preset warning threshold. When a data indicator exceeds or falls below the preset warning threshold, the digital twin model determines that there is a potential operational problem in the target logistics transit center and triggers the warning mechanism.

[0092] For example, if equipment operation status data shows that the motor temperature of a conveyor continues to rise and exceeds a preset safe temperature threshold, the digital twin model will immediately issue a warning signal, alerting managers that the equipment may be about to malfunction and requires timely inspection and maintenance. As another example, if cargo inflow / outflow data shows that the amount of goods entering the warehouse far exceeds the amount leaving the warehouse within a certain period, and exceeds a preset ratio, the system will warn of a potential risk of cargo backlog, reminding staff to adjust work processes or increase storage resources in a timely manner.

[0093] According to the technical solution of this embodiment, by utilizing digital twin models, real-time data, and preset early warning thresholds, potential problems in the operation of the target logistics transit center can be detected in advance, so that managers can take timely measures to intervene and adjust, ensuring the efficient and stable operation of the logistics transit center.

[0094] Exemplary device

[0095] Accordingly, embodiments of this application also provide an apparatus, such as Figure 4 As shown, the device 400 for determining the planning and layout scheme of the logistics transfer center provided in this embodiment may include: a generation module 410, a simulation module 420, and a determination module 430.

[0096] The generation module 410 is used to generate at least one candidate planning layout scheme based on the planning layout objectives of the target logistics transit center; the candidate planning layout scheme includes at least one of the following: facility layout planning, equipment configuration planning, cargo flow planning, space utilization planning, and personnel configuration planning of the target logistics transit center. The simulation module 420 is used to simulate the at least one candidate planning layout scheme using a digital twin model corresponding to the target logistics transit center, and obtain simulation results for each candidate planning layout scheme. The determination module 430 is used to determine the planning layout scheme of the target logistics transit center based on the simulation results; the planning layout scheme refers to a series of plans and arrangements designed to achieve the planning layout objectives.

[0097] In some exemplary embodiments, the simulation results include performance indicators corresponding to each of the candidate planning layout schemes. Specifically, the determining module 430 can be used to compare the performance indicators of each candidate planning layout scheme with the planning layout target to obtain simulation results. Based on the simulation results, a target candidate planning layout scheme is determined from the at least one candidate planning layout scheme; the target candidate planning layout scheme is the candidate planning layout scheme whose performance indicators are closest to the planning layout target among the at least one candidate planning layout schemes. The target candidate planning layout scheme is optimized based on an optimization algorithm to obtain the planning layout scheme of the target planning layout system.

[0098] In some exemplary embodiments, the apparatus may further include an acquisition module for acquiring historical planning layout schemes of the target logistics transit point at preset time intervals. An optimization module is configured to optimize the optimization algorithm based on the historical planning layout schemes, and to optimize the target candidate planning layout schemes based on the optimized optimization algorithm.

[0099] In some exemplary embodiments, the device may further include a monitoring module for real-time monitoring of the operational status of the target logistics transit center after the planned layout scheme is deployed in the target logistics transit center, using the digital twin model.

[0100] In some exemplary embodiments, the acquisition module can also be used to acquire real-time monitoring data and feedback data of the target logistics transit center through the digital twin model. Correspondingly, the determination module 430 can also be used to determine an adjustment scheme for the planning layout of the target logistics transit center based on the real-time monitoring data and the feedback data; the adjustment scheme includes at least one of equipment location adjustment, work process optimization, and resource reallocation.

[0101] In some exemplary embodiments, the acquisition module can also be used to acquire real-time data of the target logistics transit center through the digital twin model; the real-time data includes at least cargo inflow and outflow data, equipment operating status data, and personnel activity data. The device may also include an early warning module for issuing early warnings about potential operational problems existing in the target logistics transit center based on the real-time data and preset early warning thresholds.

[0102] In some exemplary embodiments, the planning layout objectives include at least one of the following: expected operational efficiency, expected operating cost, and expected space utilization.

[0103] The device for determining the planning and layout scheme of a logistics transit hub provided in this embodiment belongs to the same application concept as the method for determining the planning and layout scheme of a logistics transit hub provided in the above embodiments of this application. It can execute the method for determining the planning and layout scheme of a logistics transit hub provided in any of the above embodiments of this application, and has the corresponding functional modules and beneficial effects for executing the method for determining the planning and layout scheme of a logistics transit hub. Technical details not described in detail in this embodiment can be found in the specific processing content of the method for determining the planning and layout scheme of a logistics transit hub provided in the above embodiments of this application, and will not be repeated here.

[0104] It should be understood that the modules in the above device can be implemented by a processor calling software. For example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of each unit of the device. The processor can be a general-purpose processor, such as a CPU or microprocessor, and the memory can be internal or external to the device. Alternatively, the units in the device can be implemented as hardware circuits. By designing the hardware circuits, some or all of the unit functions can be implemented. The hardware circuits can be understood as one or more processors. For example, in one implementation, the hardware circuit is an ASIC, and the functions of some or all of the above units are implemented by designing the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented by a PLD, such as an FPGA, which can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files to implement the functions of some or all of the above units. All units of the above device can be implemented entirely by a processor calling software, entirely by hardware circuits, or partially by a processor calling software with the remaining parts implemented by hardware circuits.

[0105] In this application embodiment, a processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a CPU, microprocessor, GPU, or DSP. In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. These logical relationships are fixed or reconfigurable. For example, the processor may be a hardware circuit implemented as an ASIC or PLD, such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the processor loading instructions to implement the functions of some or all of the above units. Furthermore, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as an NPU, TPU, or DPU.

[0106] As can be seen, each unit in the above device can be one or more processors (or processing circuits) configured to implement the above methods, such as: CPU, GPU, NPU, TPU, DPU, microprocessor, DSP, ASIC, FPGA, or a combination of at least two of these processor forms.

[0107] Furthermore, the units in the above devices can be integrated in whole or in part, or they can be implemented independently. In one implementation, these units are integrated together and implemented in the form of a System-on-Chip (SoC). The SoC may include at least one processor for implementing any of the above methods or implementing the functions of the units in the device. The at least one processor may be of different types, such as CPU and FPGA, CPU and artificial intelligence processor, CPU and GPU, etc.

[0108] Exemplary electronic devices

[0109] This application provides an electronic device, see [link to relevant documentation] Figure 5 As shown, the electronic device includes a memory 600 and a processor 610 connected to the memory 600.

[0110] The memory 600 is used to store programs.

[0111] The processor 610 is configured to generate at least one candidate planning layout scheme by executing any of the methods for determining the planning layout scheme of a logistics transit center in any of the above embodiments, based on the planning layout objectives of the target logistics transit center; the candidate planning layout scheme includes at least one of facility layout planning, equipment configuration planning, cargo flow planning, space utilization planning, and personnel configuration planning in the target logistics transit center; simulate the at least one candidate planning layout scheme by using a digital twin model corresponding to the target logistics transit center to obtain simulation results for each candidate planning layout scheme; and determine the planning layout scheme of the target logistics transit center based on the simulation results, wherein the planning layout scheme refers to a series of plans and arrangements designed to achieve the planning layout objectives. By utilizing a digital twin model corresponding to the target logistics transit center to simulate each candidate planning layout scheme generated based on the planning layout target, and by determining the planning layout scheme with the performance indicators closest to the planning layout target based on the simulation results, the formulated logistics transit center planning layout scheme can more rationally plan the spatial layout, improve the utilization rate of the storage space and operation space of the logistics transit center, and at the same time, dynamically adjust and optimize the planning layout to adapt to the ever-changing operating environment.

[0112] For details on the specific processing procedure of the processor 610 described above, please refer to the description of the above method embodiments. For details on the specific implementation of the processor 610, please refer to the description of the above embodiments.

[0113] Specifically, the aforementioned electronic device may also include: a bus, a communication interface 620, an input device 630, and an output device 640.

[0114] The processor 610, memory 600, communication interface 620, input device 630, and output device 640 are interconnected via a bus. Among them:

[0115] A bus can include a pathway for transmitting information between various components of a computer system.

[0116] The processor 610 can be a general-purpose processor, such as a general-purpose central processing unit (CPU), a microprocessor, etc., or an application-specific integrated circuit (ASIC), or one or more integrated circuits used to control the execution of the program of the present invention. It can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0117] The processor 610 may include a main processor, as well as a baseband chip, modem, etc.

[0118] The memory 600 stores a program that executes the technical solution of this invention, and may also store an operating system and other key business functions. Specifically, the program may include program code, which includes computer operation instructions. More specifically, the memory 600 may include read-only memory (ROM), other types of static storage devices capable of storing static information and instructions, random access memory (RAM), other types of dynamic storage devices capable of storing information and instructions, disk storage, flash memory, etc.

[0119] Input device 630 may include a device for receiving user input data and information, such as an error microphone, keyboard, mouse, camera, scanner, light pen, voice input device, touch screen, pedometer, or gravity sensor.

[0120] Output device 640 may include devices that allow information to be output to a user, such as a speaker, display screen, printer, etc.

[0121] The communication interface 620 may include a device that uses any transceiver to communicate with other devices or communication networks, such as Ethernet, Radio Access Network (RAN), Wireless Local Area Network (WLAN), etc.

[0122] The processor 610 executes the program stored in the memory 600 and calls other devices, which can be used to implement the various steps of the method for determining any logistics transfer center planning and layout scheme provided in the above embodiments of this application.

[0123] This application also proposes a chip, which includes a processor and a data interface. The processor reads and runs a program stored in the memory through the data interface to execute the method for determining the planning and layout scheme of the logistics transfer center described in any of the above embodiments. For the specific processing procedure and its beneficial effects, please refer to the embodiments of the method for determining the planning and layout scheme of the logistics transfer center described above.

[0124] Exemplary computer program products and storage media

[0125] In addition to the methods and devices described above, embodiments of this application may also be computer program products, which include computer program instructions that, when executed by a processor, cause the processor to perform the steps in the method for determining the logistics transit planning and layout scheme according to various embodiments of this application as described in any of the above embodiments of this specification.

[0126] Computer program products can be written in any combination of one or more programming languages ​​to perform the operations of the embodiments of this application. The programming languages ​​include object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0127] Furthermore, embodiments of this application may also be storage media storing a computer program, which is executed by a processor in the steps of the method for determining the logistics transit planning and layout scheme according to various embodiments of this application described in any of the above embodiments of this specification. Specifically, the following steps can be implemented:

[0128] Step 100: Based on the planning layout objectives of the target logistics transit center, generate at least one candidate planning layout scheme; the candidate planning layout scheme includes at least one of the following: facility layout planning, equipment configuration planning, cargo flow planning, space utilization planning, and personnel configuration planning for the target logistics transit center. Step 110: Simulate the at least one candidate planning layout scheme using a digital twin model corresponding to the target logistics transit center, obtaining simulation results for each candidate planning layout scheme. Step 120: Based on the simulation results, determine the planning layout scheme for the target logistics transit center; the planning layout scheme refers to a series of plans and arrangements designed to achieve the planning layout objectives.

[0129] For the foregoing method embodiments, in order to simplify the description, they are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0130] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For apparatus embodiments, since they are basically similar to method embodiments, the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0131] The steps in the methods of the various embodiments of this application can be adjusted, merged, or deleted in order according to actual needs, and the technical features described in each embodiment can be replaced or combined.

[0132] The modules and sub-modules in the various embodiments of the present application's devices and terminals can be merged, divided, and deleted according to actual needs.

[0133] It should be understood that the disclosed terminals, devices, and methods can be implemented in other ways, given the several embodiments provided in this application. For example, the terminal embodiments described above are merely illustrative. For instance, the division of modules or sub-modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple sub-modules or modules may be combined or integrated into another module, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or modules, and may be electrical, mechanical, or other forms.

[0134] The modules or submodules described as separate components may or may not be physically separate. The components that constitute a module or submodule may or may not be physical modules or submodules; that is, they may be located in one place or distributed across multiple network modules or submodules. Some or all of the modules or submodules can be selected to achieve the purpose of this embodiment's solution, depending on actual needs.

[0135] Furthermore, the functional modules or sub-modules in the various embodiments of this application can be integrated into one processing module, or each module or sub-module can exist physically separately, or two or more modules or sub-modules can be integrated into one module. The integrated modules or sub-modules described above can be implemented in hardware or in the form of software functional modules or sub-modules.

[0136] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0137] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software unit executed by a processor, or a combination of both. The software unit can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0138] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0139] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for determining the planning and layout scheme of a logistics transshipment center, characterized in that, The method includes: Based on the planning and layout objectives of the target logistics transit center, at least one candidate planning and layout scheme is generated; the candidate planning and layout scheme includes at least one of the following: facility layout planning, equipment configuration planning, cargo flow planning, space utilization planning, and personnel configuration planning of the target logistics transit center; The at least one candidate planning layout scheme is simulated by using a digital twin model corresponding to the target logistics transfer center to obtain simulation results for each candidate planning layout scheme. Based on the simulation results, the planning layout scheme of the target logistics transit center is determined; the planning layout scheme refers to a series of plans and arrangements designed to achieve the planning layout objectives.

2. The method according to claim 1, characterized in that, The simulation results include the performance indicators corresponding to each of the candidate planning layout schemes; The process of determining the planning and layout scheme of the target logistics transit center based on the simulation results includes: The performance indicators of each candidate planning layout scheme are compared with the planning layout target to obtain simulation results; Based on the simulation results, a target candidate planning layout scheme is determined from the at least one candidate planning layout scheme; the target candidate planning layout scheme is the candidate planning layout scheme whose performance index is closest to the planning layout target among the at least one candidate planning layout schemes. The target candidate planning layout scheme is optimized based on the optimization algorithm to obtain the planning layout scheme of the target planning layout system.

3. The method according to claim 2, characterized in that, The method further includes: The historical planning layout scheme of the target logistics transfer center is obtained at preset time intervals; The optimization algorithm is optimized based on the historical planning layout scheme. The step of optimizing the target candidate planning layout scheme based on the optimization algorithm includes: The target candidate planning layout scheme is optimized based on the optimized algorithm.

4. The method according to claim 2, characterized in that, After determining the planning and layout scheme of the target logistics transit center based on the simulation results, the method further includes: After deploying the planned layout scheme in the target logistics transit center, the operational status of the target logistics transit center is monitored in real time using the digital twin model.

5. The method according to claim 4, characterized in that, The method further includes: The digital twin model is used to obtain real-time monitoring data and feedback data of the target logistics transit center; Based on the real-time monitoring data and the feedback data, an adjustment plan for the planning and layout of the target logistics transfer center is determined; the adjustment plan includes at least one of equipment location adjustment, work process optimization, and resource reallocation.

6. The method according to claim 4, characterized in that, The method further includes: The real-time data of the target logistics transit center is obtained through the digital twin model; the real-time data includes at least cargo inflow and outflow data, equipment operating status data, and personnel activity data. Based on the real-time data and preset warning thresholds, early warnings are issued for potential operational problems in the target logistics transit center.

7. The method according to claim 1, characterized in that, The planning and layout objectives include at least one of the following: expected operational efficiency, expected operating cost, and expected space utilization.

8. An electronic device, characterized in that, include: Memory and processor; The memory is connected to the processor and is used to store programs; The processor is configured to implement the method for determining the planning and layout scheme of a logistics transit center as described in any one of claims 1-7 by running a program in the memory.

9. A storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the method for determining the planning and layout scheme of a logistics transit center as described in any one of claims 1-7.

10. A computer program product, characterized in that, It includes computer program instructions, which, when executed by a processor, cause the processor to implement the method for determining the planning and layout scheme of a logistics transit center as described in any one of claims 1 to 7.

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