Part logistics transportation monitoring and management method and device and storage medium

Abstract

The invention discloses a part logistics transportation monitoring and management method and device and a storage medium. The method comprises the steps that transportation resource information, traffic information and order information of an initial order are acquired, and the transportation resource information at least comprises vehicle resource information and storage resource information; determining a transportation route based on the order information, the transportation resource information and the traffic information; based on the transportation route, the order information and the transportation resource information, transportation task information is generated, and the transportation task information at least comprises task vehicle information, shipping point information, predicted shipping time information, destination information, predicted arrival time information and transportation cargo information. The technical problems of low logistics efficiency and high cost are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics management, and in particular, to a method, device and storage medium for monitoring and managing the logistics transportation of parts. Background Art

[0002] With the development of the automotive manufacturing industry, the transportation management of parts has become a key link in enterprise operations. During the automotive production process, a large number of parts need to be transported between different locations, involving multiple links and numerous participants, with extremely high requirements for the accuracy, timeliness, and efficiency of transportation management. However, the existing transportation management methods for automotive parts mainly rely on manual operations and simple information systems, and there are many problems in aspects such as order processing, vehicle scheduling, material handover, and data collection and analysis. Manual operations not only consume a large amount of manpower and time, are prone to errors, but also lead to traffic congestion and low transportation efficiency; the paper documents used for material handover have untimely information transmission, are inconvenient for storage and query, and are prone to information errors or losses; data collection depends on manual entry by employees, and it is difficult to ensure the accuracy and integrity, and there is a lack of in-depth analysis, which cannot provide strong support for transportation decisions. These problems result in low manual operation efficiency, increased labor costs, serious information silos, reduced logistics efficiency, and the difficulty for enterprises to optimize transportation strategies based on historical data, leading to high transportation costs.

[0003] In response to the above problems, no effective solutions have been proposed yet. Summary of the Invention

[0004] Embodiments of the present invention provide a method, device and storage medium for monitoring and managing the logistics transportation of parts, so as to at least solve the technical problems of low logistics efficiency and high cost.

[0005] According to one aspect of the embodiments of the present invention, a method for monitoring and managing the logistics transportation of parts is provided, including: obtaining transportation resource information, traffic information, and order information of an initial order, where the transportation resource information at least includes vehicle resource information and warehousing resource information; determining a transportation route based on the order information, transportation resource information, and traffic information; generating transportation task information based on the transportation route, order information, and transportation resource information, where the transportation task information at least includes task vehicle information, departure point information, estimated departure time information, destination information, estimated arrival time information, and transported goods information.

[0006] Optionally, determine a transportation route based on order information, transportation resource information, and traffic information, including: analyzing the order information to obtain an analysis result, where the analysis result at least includes basic goods information and transportation demand information. The basic goods information is used to characterize the basic attributes of the goods, and the transportation demand information is used to describe the goods transportation demand; determining the transportation route based on a path planning strategy, the analysis result, transportation resource information, and traffic information; where the path planning strategy at least includes one of the following: shortest path strategy, time optimization strategy, cost optimization strategy, and resource maximization utilization strategy.

[0007] Optionally, determine a transportation route based on a path planning strategy, the analysis result, transportation resource information, and traffic information, including: determining available vehicles based on the analysis result and vehicle resource information; determining transportation locations based on the analysis result and warehouse resource information, where the transportation locations at least include a starting point and a destination point; determining the transportation route based on the path planning strategy, the analysis result, the available vehicles, the transportation locations, and traffic information.

[0008] Optionally, determine a transportation route based on a path planning strategy, the analysis result, transportation resource information, and traffic information, including: judging whether an initial order meets the splitting condition based on the analysis result; in the case of determining that the initial order meets the splitting condition, splitting the initial order to obtain multiple sub-orders; analyzing the order information of the multiple sub-orders to obtain the analysis results of the multiple sub-orders; determining the transportation routes of the respective sub-orders based on the path planning strategy, transportation resource information, traffic information, and the analysis results of the multiple sub-orders.

[0009] Optionally, if there are multiple initial orders, determine a transportation route based on a path planning strategy, the analysis result, transportation resource information, and traffic information, including: judging whether each initial order meets the merging condition based on the analysis results of the multiple initial orders; in the case of determining that each initial order meets the merging condition, merging the multiple initial orders to obtain a merged order; analyzing the order information of the merged order to obtain the analysis result of the merged order; determining the transportation route of the merged order based on the path planning strategy, transportation resource information, traffic information, and the analysis result of the merged order.

[0010] Optionally, the method further includes: determining a target vehicle based on vehicle condition information and transportation task information, where the target vehicle is the vehicle used to execute the current transportation task; sending the transportation task to the target vehicle; in response to the transportation task being received, starting a goods picking and loading process, and generating a material handover list, where the material handover list at least includes a bill of lading and a transportation list.

[0011] Optionally, the method further includes: collecting real-time vehicle information of the target vehicle in response to receiving a transportation task, where the real-time vehicle information at least includes real-time position information, real-time driving status information, and vehicle cargo information; determining whether the target vehicle is in an abnormal state based on the real-time vehicle information; and starting an emergency handling process when it is determined that the target vehicle is in an abnormal state.

[0012] Optionally, the method further includes: obtaining task feedback information of the transportation task in response to completion of the transportation task, where the task feedback information at least includes task completion time, actual driving route, and cargo status information; evaluating the transportation task based on the task feedback information to obtain an evaluation result of the transportation task, where the evaluation result at least includes a transportation efficiency evaluation result, a cost evaluation result, and a customer satisfaction result; and generating an evaluation report of the transportation task based on the evaluation result.

[0013] According to another aspect of the embodiments of the present invention, there is also provided a component logistics transportation monitoring and management device, including: an obtaining module configured to obtain transportation resource information, traffic information, and order information of an initial order, where the transportation resource information at least includes vehicle resource information and warehouse resource information; a determining module configured to determine a transportation route based on the order information, transportation resource information, and traffic information; and a generating module configured to generate transportation task information based on the transportation route, order information, and transportation resource information, where the transportation task information at least includes task vehicle information, origin information, estimated departure time information, destination information, estimated arrival time information, and transported cargo information.

[0014] According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium storing a computer program, where the computer program is configured to execute the above-mentioned component logistics transportation monitoring and management method when running.

[0015] In an embodiment of the present invention, order information of a transportation resource information, traffic information, and an initial order is obtained. The transportation resource information includes at least vehicle resource information and warehousing resource information. Based on the order information, transportation resource information, and traffic information, a transportation route is determined. Based on the transportation route, order information, and transportation resource information, transportation task information is generated. The transportation task information includes at least task vehicle information, departure point information, estimated departure time information, destination information, estimated arrival time information, and transported goods information. By obtaining the order information of a customer and combining the current transportation resources and traffic conditions, the system can intelligently and automatically confirm a transportation route. At the same time, by combining the information of the transportation route with the order and transportation resources, complete vehicle task information is generated. Through the built-in big data technology of the system, intelligent analysis and prediction of the entire logistics process can be realized. Combining the real-time collected vehicle information, real-time optimization suggestions for the vehicle and logistics transportation can be provided. Compared with traditional manual scheduling and simple information systems, intelligent decision support can be realized, and logistics scheduling and business configuration can be carried out comprehensively and flexibly, thereby solving the technical problems of low logistics efficiency and high cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The illustrative embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0017] Figure 1 is a hardware structure block diagram of a computer terminal for a parts logistics transportation monitoring and management method according to an embodiment of the present invention;

[0018] Figure 2 is a flowchart of a parts logistics transportation monitoring and management method according to an alternative embodiment of the present invention;

[0019] Figure 3 is a structure block diagram of a parts logistics transportation monitoring and management device according to an embodiment of the present invention;

[0020] Figure 4 is a flow block diagram of a parts logistics transportation monitoring and management method according to an alternative embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] To enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative work shall fall within the protection scope of the present invention.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order different from those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0023] According to one embodiment of the present invention, an embodiment of a method for monitoring and managing the logistics transportation of parts is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that here.

[0024] This method embodiment can be executed in a computer terminal or a similar computing device that includes a memory and a processor in a vehicle. Taking running on a computer terminal as an example, as Figure 1 shown, the computer terminal may include one or more processors 102 (the processor may include, but is not limited to, a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP) chip, a microprocessor (MCU), a programmable logic device (FPGA), a neural network processor (NPU), a tensor processor (TPU), an artificial intelligence (AI) type processor, etc.) and a memory 104 for storing data. Optionally, the above computer terminal may further include a transmission device 106 for communication functions, an input / output device 108, and a display 110. Those of ordinary skill in the art can understand that Figure 1 the structure shown is only schematic and does not limit the structure of the above computer terminal. For example, the computer terminal may further include more or fewer components than those described in the above structure, or have a configuration different from that described in the above structure.

[0025] The memory 104 can be used to store computer programs, such as software programs and modules of application software, such as the computer program corresponding to the component logistics transportation monitoring and management method in the embodiments of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, implements the above-mentioned component logistics transportation monitoring and management method. The memory 104 may include a high-speed random access memory, and may further include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories. In some instances, the memory 104 may further include a memory remotely disposed relative to the processor 102, and these remote memories can be connected to the mobile terminal through a network. Examples of the above-mentioned network include but are not limited to the Internet, enterprise intranet, local area network, mobile communication network, and combinations thereof.

[0026] The transmission device 106 is used to receive or send data via a network. Specific examples of the above-mentioned network may include a wireless network provided by a communication provider of the mobile terminal. In one instance, the transmission device 106 includes a network adapter (Network Interface Controller, abbreviated as NIC), which can be connected to other network devices through a base station and thus communicate with the Internet. In one instance, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0027] The display 110 can be, for example, a touch-screen liquid crystal display (LCD). The liquid crystal display enables the user to interact with the user interface of the mobile terminal. In some embodiments, the above-mentioned mobile terminal has a graphical user interface (GUI), and the user can perform human-computer interaction with the GUI through finger contacts and / or gestures on the touch-sensitive surface. The human-computer interaction function here optionally includes the following interactions: creating web pages, drawing, word processing, creating electronic documents, games, video conferencing, instant messaging, sending and receiving emails, call interfaces, playing digital videos, playing digital music, and / or web browsing, etc. The executable instructions for performing the above human-computer interaction functions are configured / stored in a computer program product or readable storage medium executable by one or more processors.

[0028] In this embodiment, a component logistics transportation monitoring and management method running on the above computer terminal is provided. Figure 2 It is a flowchart of the component logistics transportation monitoring and management method according to one embodiment of the present invention. Figure 3 It is a flowchart block diagram of the component logistics transportation monitoring and management method according to one embodiment of the present invention, as Figure 2 、 Figure 3As shown, the process includes the following steps:

[0029] Step S20: Obtain transportation resource information, traffic information, and order information of the initial order. The transportation resource information includes at least vehicle resource information and warehousing resource information;

[0030] Specifically, the vehicle resource information includes the location of the vehicle, load capacity, vehicle type (such as refrigerated truck, flatbed truck), current status (idle, loading, transporting), estimated arrival time, etc.; the warehousing resource information includes the capacity of the warehouse, inventory level, loading and unloading capacity, warehouse location, and opening hours, etc.; the traffic information includes road conditions, weather forecast, traffic control, real-time traffic flow, etc.; the order information is a specific logistics order initiated by the customer, and the order information includes customer information, customer required goods information (type of subject, quantity of subject, amount of subject, etc.), carrier requirement information, time information, etc.

[0031] It should be noted that the order information is the information initiated by the customer. The system provides real-time order services for the customer (that is, the system can obtain the order information initiated by the customer in real time). Based on the order information, the transportation resource information and traffic information are obtained to facilitate the subsequent formulation of the transportation route.

[0032] In step S20, the logistics transportation management system will integrate the above information and use algorithm models (such as AI optimization algorithm, vehicle routing algorithm) to calculate the best transportation plan, including vehicle scheduling, route planning, warehouse selection, and loading and unloading arrangement.

[0033] Step S22: Determine the transportation route based on the order information, transportation resource information, and traffic information;

[0034] In step S22, after obtaining the order information, the system analyzes and confirms the customer's needs, and queries and obtains the transportation resource information and traffic information based on the customer's needs.

[0035] Specifically, the system will screen out suitable transportation resources, determine eligible transportation vehicles, determine the best goods transfer points and storage points; the system will also obtain the road traffic conditions in real time and evaluate the traffic conditions on multiple transportation routes; finally, based on the algorithms pre-stored in the system, considering the timeliness requirements of the order, the characteristics of the goods, the availability of the vehicle, and the traffic information, the optimal transportation route is determined.

[0036] Step S24: Generate transportation task information based on the transportation route, order information, and transportation resource information. The transportation task information includes at least task vehicle information, departure point information, estimated departure time information, destination information, estimated arrival time information, and transported goods information.

[0037] Specifically, after the system confirms the optimal transportation route, a transportation task information is generated. The transportation task can be transmitted by the system to each terminal and transfer terminal to ensure that each terminal and transfer terminal (driver, dispatcher, warehouse) can query their own tasks in this transportation task information and complete the transportation process.

[0038] In step S24, the task vehicle information includes the carrier vehicle for this transportation task, specifically including information such as vehicle identification, type, real-time location, status, and historical records; the origin information specifies the specific location for loading the goods, including the location information of the warehouse or supplier and the time when loading is completed and ready; the estimated departure time information is the reasonable departure time calculated by the system based on the route distance, traffic conditions, and vehicle information, and ensures that the goods depart on time; the destination information clarifies the final delivery location of the goods, including the customer-specified receiving address and time; the estimated arrival time information is the time when the goods are estimated to reach the destination calculated by the system in combination with the route length, the estimated driving speed of the vehicle, and traffic conditions; the transported goods information is a list of goods generated based on the customer's order information.

[0039] Through the above steps, the transportation resource information, traffic information, and order information of the initial order are obtained. The transportation resource information at least includes vehicle resource information and warehousing resource information; based on the order information, transportation resource information, and traffic information, the transportation route is determined; based on the transportation route, order information, and transportation resource information, the transportation task information is generated. The transportation task information at least includes task vehicle information, origin information, estimated departure time information, destination information, estimated arrival time information, and transported goods information. By obtaining the customer's order information and combining the current transportation resources and traffic conditions, the system can intelligently and automatically confirm a transportation route. At the same time, by combining the information of the transportation route with the order and transportation resources, a complete vehicle task information is generated. Through the built-in big data technology of the system, intelligent analysis and prediction of the entire logistics process can be realized. Combining the real-time collected vehicle information, real-time optimization suggestions can be provided for the vehicle and logistics transportation. Compared with the traditional manual dispatching and simple information systems, it can achieve intelligent decision support, comprehensively and flexibly perform logistics dispatching and business configuration, and thus solve the technical problems of low logistics efficiency and high cost.

[0040] Optionally, in step S22, based on the order information, transportation resource information, and traffic information, determining the transportation route includes:

[0041] Step S221, analyzing the order information to obtain an analysis result. The analysis result at least includes the basic goods information and transportation demand information. The basic goods information is used to characterize the basic attributes of the goods, and the transportation demand information is used to describe the transportation demand of the goods;

[0042] Specifically, the basic information of goods mainly covers the data describing the attributes of goods, including the type, quantity, size, volume, weight, value of goods, and special requirements based on the attributes of goods (such as shock-proof and fragile, perishable, low-temperature preservation, rain-proof, sun-proof, anti-odor). The transportation demand information mainly refers to the specific requirements and expectations of customers for transportation, including the receiving address, consignee, expected receiving time, shipping place, shipping time, transportation mode (such as single-stage or multi-stage carrier mode), door-to-door delivery or pick-up at a designated point, etc.

[0043] In step S221, after the system analyzes the order information to obtain the analysis result, it considers the basic information of goods and transportation demand information in the order information to generate a personalized transportation plan to meet the basic attribute requirements of goods and fully consider the specific transportation requirements of customers.

[0044] Step S222: Determine the transportation route based on the path planning strategy, analysis result, transportation resource information, and traffic information.

[0045] Among them, the path planning strategy includes at least one of the following: the shortest path strategy, the time optimization strategy, the cost optimization strategy, and the resource maximization utilization strategy.

[0046] Specifically, after the system generates multiple transportation routes based on the analysis result of the order information, combined with the transportation resource information and traffic information, the traffic conditions and transportation resources of the multiple transportation routes may be different, and the arrival times and transportation costs of the multiple transportation routes may also be different. Therefore, the system needs to evaluate the multiple transportation routes and comprehensively select the optimal transportation path in combination with the path planning strategy.

[0047] In step S222, the shortest path strategy is the route with the shortest distance between the starting point and the destination; the time optimization strategy is to ensure that the goods can be delivered to the destination in the shortest time or arrive within the time window specified by the customer; the cost optimization strategy focuses on reducing transportation costs, including fuel costs, tolls, vehicle maintenance costs, etc.; the resource maximization utilization strategy can reasonably allocate transportation resources, including vehicles and warehousing facilities, to maximize resource utilization rate and reduce idle time.

[0048] In this embodiment, the system may combine multiple strategies and dynamically adjust the transportation route according to the specific business requirements and changes in external conditions to achieve the best transportation effect.

[0049] Through steps S221 - S222, the system can flexibly adjust the transportation strategy according to different customer requirements and conditions. For example, if the customer requests expedited delivery or specifies a delivery time, the system will plan the transportation route based on the time optimization strategy; if the customer requests the lowest possible transportation cost, the system will plan the transportation route based on the cost optimization strategy; if the customer has requirements for the waypoints in the route, the system will plan the transportation route based on the strategy of maximizing resource utilization; and if the customer has no special requirements, the system can comprehensively evaluate all strategies to calculate the best transportation route for cargo delivery. This realizes the optimal allocation of transportation resources and further improves the efficiency and cost - effectiveness of logistics transportation.

[0050] Optionally, in step S222, based on the path - planning strategy, analysis results, transportation resource information, and traffic information, determine the transportation route, including:

[0051] Step S2221, based on the analysis results and vehicle resource information, determine the available vehicles;

[0052] Specifically, by analyzing the customer's order information, the type, size, quantity, and special transportation requirements of the goods to be transported can be obtained. Based on the above - mentioned analysis results and combined with vehicle resource information, the vehicles can be screened to determine the vehicles that can carry out this transportation.

[0053] In step S2221, for each transportation task to be carried out, the system will match the basic information of the goods and transportation demand information with the vehicle resource information, and preferentially select vehicles with matching load - carrying capacity, suitable type, close location to the starting point, and good condition. At the same time, during the matching process, the system also considers the utilization efficiency of the vehicles, minimizes the empty - running mileage as much as possible, and ensures that the vehicles complete the task within the transportation time window.

[0054] Step S2222, based on the analysis results and warehousing resource information, determine the transportation locations, where the transportation locations include at least the starting point and the destination point;

[0055] Specifically, by analyzing the customer's order information, the delivery address expected by the customer can be obtained, and the destination point is determined as the delivery address selected by the customer. On this basis, by analyzing the warehousing resource information, the nearest goods warehousing location to the destination point is determined and used as the starting point, so as to achieve optimal resource scheduling and utilization.

[0056] Step S2223, based on the path - planning strategy, analysis results, available vehicles, transportation locations, and traffic information, determine the transportation route.

[0057] Specifically, after relatively determining the order information and determining the vehicle and the transportation location based on the vehicle resource information and the warehousing resource information, the transportation route is determined. The transportation route also needs to perform path planning strategies and determine traffic information to ensure that the goods can reach the destination efficiently and safely from the starting point, while optimizing costs and resource utilization to provide high-quality services to customers.

[0058] In steps S2221 - S2223, it is ensured that the optimal resource matching can be achieved in each link of the logistics transportation, thereby improving the reliability and efficiency of the entire transportation process.

[0059] Optionally, in step S222, based on the path planning strategy, the analysis result, the transportation resource information, and the traffic information, the transportation route is determined, including:

[0060] Step S223, based on the analysis result, determine whether the initial order meets the splitting conditions;

[0061] Specifically, the analysis result is determined based on the order information provided by the customer. The analysis result includes the basic attributes of the transported goods. According to the basic attributes of the transported goods, it can be judged whether the goods can be split. For example, if the goods are a single large device, it can be judged that the goods cannot be split; if the goods are multiple types of goods with small size and large quantity, it may be more economical to transport them after splitting.

[0062] In step S223, the splitting conditions include multiple aspects such as the type of goods, quantity, volume, quality, special attributes, and splitting costs. All aspects need to meet the preset splitting conditions before the goods can be split.

[0063] Step S224, in the case where it is determined that the initial order meets the splitting conditions, split the initial order to obtain multiple sub-orders;

[0064] Specifically, the system determines the splitting logic and criteria based on factors such as the type of goods, weight, volume, packaging requirements, transportation conditions, destination, and time window, and uses an optimization algorithm to split the order. According to the results of the algorithm, the system disassembles the initial order into several sub-orders. Each sub-order contains a part of the goods and the corresponding transportation information, such as a new pick-up time, destination, special transportation requirements, etc.

[0065] Step S225, analyze the order information of multiple sub-orders to obtain the analysis results of multiple sub-orders;

[0066] Specifically, conduct a detailed analysis of the goods in each sub-order, including the type of goods, size, weight, packaging requirements, special handling requirements, etc., to facilitate the system for subsequent vehicle matching, loading planning, and transportation condition setting.

[0067] Step S226: Based on the path planning strategy, transportation resource information, traffic information, and the analysis results of multiple sub-orders, determine the transportation routes for each sub-order.

[0068] Specifically, the system finds the best route for each sub-order according to the pre-set path planning strategy. Analyze the cargo characteristics and destinations of each sub-order, match vehicles in combination with the currently available transportation resource information, and determine the transportation route for each sub-order in combination with traffic information.

[0069] Through steps S223 - S226, when the goods types in the initial order are diverse and the destinations are scattered, the system can split the order into multiple sub-orders, plan the transportation routes separately, so as to improve the utilization efficiency of transportation resources, reduce empty runs and detours, thereby reducing the overall transportation cost, and solving the problems of resource waste and cost increase caused by complex orders in traditional logistics transportation.

[0070] Optionally, there are multiple initial orders. In step S222, based on the path planning strategy, analysis results, transportation resource information, and traffic information, determine the transportation route, including:

[0071] Step S227: Based on the analysis results of multiple initial orders, judge whether each initial order meets the merging conditions;

[0072] Specifically, the analysis results are determined based on the order information provided by the customer. The analysis results include the basic attributes of the transported goods. According to the basic attributes of the transported goods, conduct a cargo compatibility assessment, and then judge whether the goods can be merged.

[0073] In step S227, the merging conditions include information such as the compatibility of different goods and the transportation paths of the initial orders. For example, if the destinations of multiple initial orders are geographically close or on the same transportation line, then merging these orders will simplify the transportation process and reduce the empty driving mileage, thereby reducing the transportation cost.

[0074] It should be noted that the merging conditions can also include the confirmation of the consistency of the receiving times and transportation requirements of different customers. The system evaluates the cost savings and benefits brought by merging orders according to the merging conditions, including reducing the number of transports, shortening the driving distance, improving vehicle utilization, and reducing management and coordination costs, etc. At the same time, the system also needs to consider any additional costs that may be caused by merging, such as the cost of repackaging goods. By intelligently judging whether multiple initial orders meet the conditions for merging, it is convenient for subsequent combined transportation.

[0075] Step S228: When it is determined that each initial order meets the merging conditions, merge multiple initial orders to obtain a merged order;

[0076] Specifically, the system collects information on all initial orders that meet the merger criteria, and confirms that there are no conflicts between the goods and they can coexist safely in the same transportation vehicle. Apply preset merger rules, such as grouping according to criteria such as destination, type of goods, weight, and volume.

[0077] In step S228, through the operation of merging orders, combined transportation of goods is carried out, realizing the rational utilization of resources and improving the logistics efficiency.

[0078] Step S229, analyze the order information of the merged order to obtain the analysis result of the merged order;

[0079] Specifically, conduct a detailed analysis of the goods in the merged order, including the types, sizes, weights, packaging requirements, special handling requirements, etc. of different types of goods, which is convenient for the system to perform subsequent vehicle matching, loading planning, and transportation condition setting.

[0080] It should be noted that since the merged order contains different transportation locations and delivery times, when generating the analysis result, it is also necessary to calculate the overall logistics cost of the merged order, including transportation cost, loading and unloading cost, time cost, etc., in order to plan the transportation route according to the cost subsequently.

[0081] Step S230, based on the path planning strategy, transportation resource information, traffic information, and the analysis result of the merged order, determine the transportation route of the merged order.

[0082] Specifically, sort out the information of all goods according to the analysis result of the merged order, analyze the currently available transportation resources and traffic information, generate the transportation route, and the system can dynamically adjust the route according to the actual situation. By optimizing the transportation route of the merged order, the system can not only improve the logistics efficiency, but also effectively reduce the cost, bringing more economic benefits to the company.

[0083] Through steps S227 - S230, when the destinations of multiple orders are close and the types of goods are similar, the system can merge these orders, uniformly plan the transportation route, so as to reduce the number of transports, improve the transportation efficiency, reduce the logistics cost, and solve the problems of low transportation efficiency and increased cost caused by scattered orders in traditional logistics transportation.

[0084] Optionally, the method further includes:

[0085] Step S26, based on the vehicle condition information and transportation task information, determine the target vehicle, where the target vehicle is the vehicle used to execute this transportation task;

[0086] Specifically, obtain the detailed condition information of all available vehicles from the vehicle management database, analyze the specific requirements of this transportation task, and screen out the vehicles that meet the task requirements from the list of available vehicles according to the transportation task information.

[0087] In step S26, the system can intelligently determine the target vehicle based on the vehicle condition information and the transportation task information, ensuring the efficient execution of the transportation task, which reflects the intelligent decision-making and resource optimization in logistics management.

[0088] Step S27, send the transportation task to the target vehicle;

[0089] Specifically, sending the transportation task to the target vehicle includes, but is not limited to, sending the transportation task to the driver of the target vehicle, the manager, and the dispatcher at the transfer points passed by the target vehicle.

[0090] Step S28, in response to the receipt of the transportation task, initiate the goods picking and loading process, and generate a material handover list, which at least includes a bill of lading and a transportation list.

[0091] Specifically, based on the previous analysis results and route planning, the system prepares detailed transportation task information and sends it to the target vehicle. After the driver and the administrator confirm the receipt of the transportation task, the system automatically generates a picking list, listing the goods information to be picked, including the types of goods, quantities, storage locations, etc. At the same time, the warehouse management staff starts to pick the goods according to this list to ensure that the picked goods match the list exactly. The system plans the optimal loading sequence according to the destination, volume, weight, and special loading requirements of the goods, generates a material handover list, and starts to execute the transportation task.

[0092] In step S28, the bill of lading details the goods information to be picked up from the warehouse, including the detailed description of the goods, quantity, weight, volume, special requirements, etc., as well as the time and location of picking up the goods; the transportation list contains all the goods information of this transportation task, as well as the starting point, passing points, and destination of the transportation, clarifying the details of the transportation task.

[0093] Through steps S26 - S28, when the target vehicle receives the task, the system will automatically initiate the goods picking and loading process, ensuring that the goods can be loaded onto the vehicle in a timely and accurate manner. At the same time, a detailed material handover list, including a bill of lading and a transportation list, is generated, ensuring the safety and traceability of the goods during the logistics transportation process, and improving the organizational efficiency and accuracy of the logistics transportation.

[0094] Optionally, in step S28, the method further includes:

[0095] Step S281, in response to receiving a transportation task, collect real-time vehicle information of the target vehicle, where the real-time vehicle information includes at least real-time position information, real-time driving status information, and vehicle cargo information;

[0096] Specifically, obtain the real-time position of the target vehicle through GPS (Global Positioning System) positioning technology; obtain real-time driving status information through sensors or monitoring devices on the target vehicle, including but not limited to information such as the vehicle's driving speed, direction, engine status, fuel level, battery power (for electric vehicles), and brake system status; record and monitor the cargo information on the vehicle, including the list of loaded goods, weight, volume, status, and whether it is loaded in the established order.

[0097] In step S281, the system analyzes the collected real-time vehicle information in real time, and can dynamically adjust the transportation strategy to ensure the efficient execution of the transportation task.

[0098] Step S282, based on the real-time vehicle information, determine whether the target vehicle is in an abnormal state;

[0099] Specifically, the system continuously tracks the actual position of the vehicle through GPS data and compares it with the pre-planned route. If it is found that the vehicle deviates from the route by more than a certain threshold, or stays at an unexpected location for too long, this may indicate that the vehicle is abnormal, such as getting lost, having an accident, or the driver violating regulations. Or monitor the vehicle's speed in real time. If the speed suddenly drops or rises to an abnormal level, it may mean that there are abnormal situations such as traffic jams, vehicle failures, or the driver speeding.

[0100] It should be noted that multiple methods can also be used to determine whether the target vehicle is in an abnormal state. For example, analyze the vehicle status or driver behavior through sensors or monitoring devices on the target vehicle to determine whether the target vehicle is in an abnormal state.

[0101] Step S283, in the case of determining that the target vehicle is in an abnormal state, initiate an emergency handling process.

[0102] Specifically, the emergency handling process includes sending warning messages to the drivers to remind them to pay attention to safety or correct violations; notify the logistics management personnel to initiate an emergency plan, including reassigning transportation tasks, dispatching rescue vehicles, or contacting customers for situation communication; according to the nature of the abnormal state, the system automatically adjusts the transportation route to avoid further problems or dangers.

[0103] Through steps S281 - S283, by means of the emergency handling process, the safety and reliability of logistics transportation can be ensured, emergencies during the transportation process can be handled in a timely and effective manner, and potential losses and risks can be avoided.

[0104] Optionally, in step S28, the method further includes:

[0105] Step S284, in response to the completion of the transportation task, obtain the task feedback information of the transportation task, where the task feedback information at least includes the task completion time, the actual driving route, and the cargo status information;

[0106] Specifically, when the task is completed, the system automatically records the time when the target vehicle arrives at the final destination, as well as the completion time of the cargo unloading and customer signature; by integrating GPS tracking data, the system generates the actual driving route map of the transportation task, compares it with the preset route, and analyzes the route deviation; at the same time, after the cargo arrives at the destination and is unloaded, the system collects the status information of the cargo, including whether the cargo is intact, whether there are situations where the temperature or humidity exceeds the standard, whether there are cases of wrong delivery or omission of the cargo, etc.

[0107] In step S284, the task feedback information may also include the feedback information provided by the driver and the feedback information provided by the customer through the mobile terminal. The system integrates all the collected task feedback information for in - depth analysis.

[0108] Step S285, based on the task feedback information, evaluate the transportation task to obtain the evaluation result of the transportation task, where the evaluation result at least includes the transportation efficiency evaluation result, the cost evaluation result, and the customer satisfaction result;

[0109] Specifically, the transportation efficiency evaluation result is obtained by comparing the task completion time with the estimated arrival time, evaluating whether the task is completed on time, calculating the on - time rate, analyzing the deviation degree of the actual driving route from the preset optimal route, calculating the total duration from task reception to task completion, and comparing with historical data or the average time of similar tasks; the cost evaluation result can be based on the actual driving mileage and fuel consumption data of the vehicle to calculate the fuel cost, or consider the driver's working hours and overtime situation to calculate the labor cost, compare with the standard operation cost, and evaluate the additional cost caused by abnormal states; the customer satisfaction result is mainly evaluated by the customer's quality requirements for the transported goods, delivery time, and communication and service during the transportation process.

[0110] In step S285, using big data analysis technology for the obtained evaluation results, deeply mine the collected task feedback information, and set scoring criteria for each evaluation dimension. At the same time, according to the evaluation results, identify the bottlenecks and deficiencies in the transportation process, and strategies can be adjusted and optimized.

[0111] Step S286: Generate an evaluation report for the transportation task based on the evaluation results.

[0112] Specifically, the evaluation report not only provides quantitative data analysis but also includes a lot of qualitative feedback, enabling management to comprehensively understand the execution status of the transportation task. By identifying problems and highlights, the company can continuously optimize in future services, improve transportation efficiency, reduce costs, and enhance customer satisfaction.

[0113] Through steps S284 - S286, the system collects various data after the completion of the transportation task, including actual delivery time, driving route, cargo status, etc. Based on these data, a comprehensive evaluation of the transportation task is conducted, and a detailed evaluation report is generated, including key indicators such as transportation efficiency, cost - effectiveness, and customer satisfaction, providing data support for the subsequent optimization of transportation strategies, realizing the continuous improvement and refined management of logistics transportation, and improving customer satisfaction and the overall efficiency of logistics transportation.

[0114] Through the above steps, it can be seen that the embodiments of the present application have the following beneficial effects:

[0115] 1) Strategy - driven transportation process management: The parts logistics transportation monitoring and management system flexibly defines transportation routes through configuration tools, ensuring the precise execution and efficient management of business processes; supports intelligent order splitting based on routes, automatically optimizes transportation segments, and simultaneously identifies mergeable orders to improve transportation efficiency; during the route configuration process, the system automatically applies loading and unloading requirements, location reporting, electronic fences, and safety control measures to ensure the compliance and safety of transportation operations; with flexible strategy configuration, the system can quickly adjust transportation strategies to adapt to changing business needs, reduce implementation costs, and improve the overall response speed.

[0116] 2) Transportation and transfer management in multiple scenarios and regions: The parts logistics transportation monitoring and management system supports unified platform scheduling for in - plant logistics, cross - regional trunk transportation, local and off - site transfer management; integrated multi - point and multi - type transfer warehouse management realizes the efficient transfer and storage of different types of goods; supports a transportation mode that combines N - point direct delivery and distribution center transfer, enabling flexible selection of transportation routes and reducing the overall logistics cost.

[0117] 3) Full-process operation monitoring and exception warning: The method for monitoring and managing parts logistics transportation conducts real-time in-transit monitoring, tracks the transportation status based on GPS and big data analysis to ensure the safety and transparency of cargo transportation; automatically notifies of transportation delays, route deviations, and emergencies, and supports emergency dispatching and decision-making support; at the same time, it supports multiple terminals (PC terminal, mobile terminal), ensuring that managers and drivers can obtain the transportation status at any time and make adjustments. It supports the collection of transportation data throughout the process, covering all aspects such as order generation, loading, in-transit transportation, unloading, and customer signature, ensuring the comprehensive traceability of transportation data.

[0118] 4) Efficient collaboration between the driver terminal and the management terminal: Through a dedicated mobile application, drivers can receive tasks in real time, optimize routes, update transportation status, and quickly process loading and unloading operations, significantly improving the transportation response speed and execution efficiency; the management terminal, through full-process monitoring and visual analysis, realizes flexible adjustment of transportation plans, tracking of the entire order life cycle, and instant operation feedback, providing precise decision-making support for transportation operations.

[0119] 5) Intelligent analysis and continuous optimization: The system deeply integrates trend analysis, historical data comparison, and customer feedback evaluation to create a data-driven service optimization mechanism; with the help of the real-time display of logistics dynamics and key performance indicators on a large screen, management can quickly gain an insight into the overall transportation situation; the system regularly generates detailed performance reports to help management accurately formulate strategies, achieve cost reduction and efficiency improvement, and continuous service improvement.

[0120] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases, the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disc), and includes several instructions to enable a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present invention.

[0121] In this embodiment, a device for monitoring and managing parts logistics transportation is also provided. This device is used to implement the above embodiments and preferred implementation methods, and those that have been described will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that can achieve a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0122] Figure 3It is a structural block diagram of a component logistics transportation monitoring and management device according to an embodiment of the present invention. As Figure 3 shown, the device includes: an acquisition module 32, which is used to acquire transportation resource information, traffic information, and order information of an initial order. The transportation resource information at least includes vehicle resource information and warehouse resource information; a determination module 34, which is used to determine a transportation route based on the order information, transportation resource information, and traffic information; a generation module 36, which is used to generate transportation task information based on the transportation route, order information, and transportation resource information. The transportation task information at least includes task vehicle information, departure point information, estimated departure time information, destination information, estimated arrival time information, and transported goods information.

[0123] Through the above device, transportation resource information, traffic information, and order information of an initial order are acquired. The transportation resource information at least includes vehicle resource information and warehouse resource information; based on the order information, transportation resource information, and traffic information, a transportation route is determined; based on the transportation route, order information, and transportation resource information, transportation task information is generated. The transportation task information at least includes task vehicle information, departure point information, estimated departure time information, destination information, estimated arrival time information, and transported goods information. By acquiring the order information of customers and combining the current transportation resources and traffic conditions, the system can intelligently and automatically confirm a transportation route. At the same time, by combining the information of the transportation route with the order and transportation resources, complete vehicle task information is generated. Through the built-in big data technology of the system, intelligent analysis and prediction of the entire logistics process can be realized. Combining the real-time collected vehicle information, real-time optimization suggestions for vehicles and logistics transportation can be provided. Compared with traditional manual scheduling and simple information systems, intelligent decision support can be realized, and logistics scheduling and business configuration can be carried out comprehensively and flexibly, thereby solving the technical problems of low logistics efficiency and high cost.

[0124] Optionally, the component logistics transportation monitoring and management device provided in this application may further include other modules. For example, the component logistics transportation monitoring and management device may further include a communication module, which is used to provide an efficient communication channel between drivers, logistics management personnel, customers, and other external service providers to ensure the instant transmission and response of information; the component logistics transportation monitoring and management device may further include a warning module, which is used to issue a warning to relevant personnel in a timely manner after identifying potential transportation risks or abnormal states, such as vehicle failures, cargo damage, route deviation, etc., to ensure timely response.

[0125] It should be noted that the above-mentioned modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to this: the above-mentioned modules are all located in the same processor; or, the above-mentioned modules are respectively located in different processors in any combination form.

[0126] In this embodiment, a component transportation management system is also provided, which is used to implement the component logistics transportation monitoring and management method in the above-mentioned embodiment. The system covers scenarios such as order splitting and combining, transportation scheduling, real-time cargo monitoring, and material tracking through management modules such as order management, task management, transportation management, vehicle positioning management, material query management, and electronic fence management. The system architecture includes front-end react (React.js, reactive user interface library), back-end java (Java Programming Language), etc., and middleware such as Nginx (Nginx web server), rabbitmq (RabbitMQ message broker), redis (Remote Dictionary Server), and nacos (Naming and Configuration Service). Through containerized deployment, microservices, automated operation and maintenance, and self-healing capabilities, the product has been significantly improved in terms of elastic scaling, stability, reliability, secure operation, rapid deployment, efficient operation and maintenance, rapid iteration, automatic update, and low cost.

[0127] In the system of this embodiment, each business line and node information can be configured, and data permissions and personnel permissions can also be flexibly configured according to roles and businesses. By realizing the intelligent processing of orders, the intelligent scheduling of vehicles, and the automatic collection and in-depth analysis of data, the logistics efficiency is improved and the cost is reduced.

[0128] An embodiment of the present invention also provides a storage medium, in which a computer program is stored. Among them, the computer program is set to execute the steps in any one of the above method embodiments when running.

[0129] Optionally, in this embodiment, the above storage medium can be set to store a computer program for executing the following steps:

[0130] Step S1, obtain transportation resource information, traffic information, and order information of the initial order, where the transportation resource information at least includes vehicle resource information and warehouse resource information;

[0131] Step S2, determine the transportation route based on the order information, transportation resource information, and traffic information;

[0132] Step S3: Generate transportation task information based on the transportation route, order information, and transportation resource information. The transportation task information shall at least include task vehicle information, origin information, estimated departure time information, destination information, estimated arrival time information, and transported goods information.

[0133] Optionally, in this embodiment, the above storage medium may include, but is not limited to, various media that can store computer programs, such as USB flash drives, read-only memories (ROM), random access memories (RAM), external hard drives, magnetic disks, or optical discs.

[0134] Optionally, specific examples in this embodiment may refer to the examples described in the above embodiments and alternative embodiments, and will not be elaborated herein.

[0135] The serial numbers of the above embodiments of the present invention are only for description and do not represent the superiority or inferiority of the embodiments.

[0136] In the above embodiments of the present invention, the descriptions of the respective embodiments have their own focuses. For parts not elaborated in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0137] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are merely illustrative. For example, the division of the units can be a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the units or modules can be in electrical or other forms.

[0138] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0139] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0140] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0141] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A method for monitoring and managing the logistics transportation of parts, characterized in that, The method includes the following steps: Obtain transportation resource information, traffic information, and order information of the initial order, where the transportation resource information at least includes vehicle resource information and warehousing resource information; Determine a transportation route based on the order information, the transportation resource information, and the traffic information; Generate transportation task information based on the transportation route, the order information, and the transportation resource information, where the transportation task information at least includes task vehicle information, departure point information, estimated departure time information, destination information, estimated arrival time information, and transported goods information.

2. The method according to claim 1, wherein Determine a transportation route based on the order information, the transportation resource information, and the traffic information, including: Analyze the order information to obtain an analysis result, where the analysis result at least includes basic goods information and transportation demand information, the basic goods information is used to characterize the basic attributes of the goods, and the transportation demand information is used to describe the goods transportation demand; Determine the transportation route based on a path planning strategy, the analysis result, the transportation resource information, and the traffic information; Among them, the path planning strategy at least includes one of the following: shortest path strategy, time optimization strategy, cost optimization strategy, and resource maximization utilization strategy.

3. The method according to claim 2, wherein, Determine the transportation route based on a path planning strategy, the analysis result, the transportation resource information, and the traffic information, including: Determine available vehicles based on the analysis result and the vehicle resource information; Determine transportation locations based on the analysis result and the warehousing resource information, where the transportation locations at least include a starting point and a target point; Determine the transportation route based on the path planning strategy, the analysis result, the available vehicles, the transportation locations, and the traffic information.

4. The method according to claim 2, wherein Determine the transportation route based on a path planning strategy, the analysis result, the transportation resource information, and the traffic information, including: Judge whether the initial order meets the splitting condition based on the analysis result; In the case of determining that the initial order meets the splitting condition, split the initial order to obtain multiple sub-orders; Analyze the order information of the multiple sub-orders to obtain analysis results of the multiple sub-orders; Determine the transportation routes of the respective sub-orders based on the path planning strategy, the transportation resource information, the traffic information, and the analysis results of the multiple sub-orders.

5. The method according to claim 4, characterized in that There are multiple initial orders. Determine the transportation route based on a path planning strategy, the analysis result, the transportation resource information, and the traffic information, including: Judge whether each initial order meets the merging condition based on the analysis results of the multiple initial orders; In the case of determining that each initial order meets the merging condition, merge the multiple initial orders to obtain a merged order; Analyze the order information of the merged order to obtain the analysis result of the merged order; Determine the transportation route of the merged order based on the path planning strategy, the transportation resource information, the traffic information, and the analysis result of the merged order.

6. The method according to claim 1, wherein The method further includes: Based on the vehicle condition information and the transportation task information, determine the target vehicle, where the target vehicle is the vehicle used to execute the current transportation task; Send the transportation task to the target vehicle; In response to the receipt of the transportation task, initiate the cargo picking and loading process and generate a material handover list, where the material handover list at least includes a bill of lading and a transportation list.

7. The method according to claim 6, wherein The method further includes: In response to the receipt of the transportation task, collect the real-time vehicle information of the target vehicle, where the real-time vehicle information at least includes real-time position information, real-time driving status information, and vehicle cargo information; Based on the real-time vehicle information, determine whether the target vehicle is in an abnormal state; In the case where it is determined that the target vehicle is in the abnormal state, initiate an emergency handling process.

8. The method according to claim 6, wherein The method further includes: In response to the completion of the transportation task, obtain the task feedback information of the transportation task, where the task feedback information at least includes the task completion time, the actual driving route, and the cargo status information; Based on the task feedback information, evaluate the transportation task to obtain an evaluation result of the transportation task, where the evaluation result at least includes a transportation efficiency evaluation result, a cost evaluation result, and a customer satisfaction result; Based on the evaluation result, generate an evaluation report of the transportation task.

9. A component logistics transportation monitoring and management device, characterized in that, Includes: An acquisition module, where the acquisition module is used to acquire transportation resource information, traffic information, and order information of an initial order, and the transportation resource information at least includes vehicle resource information and warehouse resource information; A determination module, where the determination module is used to determine a transportation route based on the order information, the transportation resource information, and the traffic information; A generation module, where the generation module is used to generate transportation task information based on the transportation route, the order information, and the transportation resource information, and the transportation task information at least includes task vehicle information, origin information, estimated departure time information, destination information, estimated arrival time information, and transported cargo information.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, where, when the program runs, it controls the device where the computer-readable storage medium is located to execute the component logistics transportation monitoring and management method according to any one of claims 1 to 8.

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