Vehicle configuration information generation method and device, computer device, and storage medium

Abstract

The application relates to a vehicle configuration information generation method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring transportation parameter information of a target line; the target line is composed of transportation nodes; the transportation parameter information carries a vehicle model identifier; the transportation parameter information is calculated through a configuration model corresponding to the vehicle model identifier to obtain a calculation result corresponding to the transportation nodes; the calculation result is used to represent whether a target vehicle can reach the transportation nodes and complete vehicle preparation within a preset period; the target vehicle is a vehicle corresponding to the vehicle model identifier; vehicle configuration parameters corresponding to the transportation nodes are determined according to the calculation result; and vehicle configuration information corresponding to the target line is generated according to the vehicle configuration parameters. By adopting the method, manual scheduling calculation is not required, the generation speed of vehicle configuration information during vehicle scheduling is improved, the utilization rate of the logistics vehicle is improved, and the processing efficiency of the cargo transportation is improved.

Description

Technical Field

[0001] The present application relates to the field of logistics technology, and in particular to a method, apparatus, computer equipment, and storage medium for generating vehicle configuration information. Background Art

[0002] With the steady growth of the economy, the demand for cargo transportation is also increasing. In order to improve efficiency, logistics companies need to arrange special personnel to conduct real-time scheduling of transport vehicles on the transport routes according to the actual operation of logistics vehicles and logistics nodes, so as to obtain logistics vehicle configurations that are suitable for the transport routes.

[0003] However, the speed of manual scheduling can no longer meet the capacity requirements of transportation routes, and it is impossible to make timely adjustments based on changes in logistics, resulting in low efficiency in generating vehicle configuration information and low utilization of logistics vehicles. Summary of the Invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment and storage medium for generating vehicle configuration information to address the above technical problems.

[0005] A method for generating vehicle configuration information, the method comprising:

[0006] Acquire transportation parameter information of a target route; the target route is composed of transportation nodes, and the transportation parameter information carries a vehicle type identification;

[0007] The transport parameter information is calculated using a configuration model corresponding to the vehicle type identifier to obtain a calculation result corresponding to the transport node; the calculation result is used to indicate whether a target vehicle can arrive at the transport node and complete vehicle preparation within a preset time limit; the target vehicle is the vehicle corresponding to the vehicle type identifier;

[0008] Determining vehicle configuration parameters corresponding to the transport node based on the measurement results;

[0009] Vehicle configuration information corresponding to the target route is generated according to the vehicle configuration parameters.

[0010] In one embodiment, the transportation parameter information includes node information, train number information, distance information and deadline information;

[0011] The transport parameter information is calculated using the configuration model corresponding to the vehicle type identifier to obtain a calculation result corresponding to the transport node, including:

[0012] Determine the target node and target path based on the node information and the train number information through the configuration model;

[0013] Determining, based on the distance information, the time information at which the target vehicle arrives at the target node via the target path;

[0014] According to the difference between the time information and the deadline information, a calculation result of whether the target vehicle can arrive at the target node within the preset deadline is determined as the calculation result corresponding to the transportation node.

[0015] In one embodiment, determining the vehicle configuration parameters corresponding to the transport node based on the measurement result includes:

[0016] If the calculation result shows that the target vehicle can arrive at the transportation node within a preset period, the initial vehicle configuration parameters corresponding to the transportation node are used as the vehicle configuration parameters corresponding to the transportation node.

[0017] In one embodiment, determining the vehicle configuration parameters corresponding to the transport node based on the measurement results further includes:

[0018] If the calculation result shows that the target vehicle cannot arrive at the transportation node within the preset time limit, then obtaining a configuration adjustment parameter corresponding to the time limit information;

[0019] The initial vehicle configuration parameters are adjusted according to the configuration adjustment parameters to obtain adjusted initial vehicle configuration parameters as the vehicle configuration parameters corresponding to the transport node.

[0020] In one embodiment, obtaining the transportation parameter information of the target route includes:

[0021] Acquire a data file corresponding to the target line;

[0022] Parsing the data file to obtain transportation parameter information;

[0023] Verifying the transportation parameter information;

[0024] If the transportation parameter verification passes, the transportation parameter information is used as the transportation parameter information of the target route.

[0025] In one embodiment, the data file carries a target line identifier;

[0026] The verifying of the transport parameter information includes:

[0027] Acquire constraint information corresponding to the target route identifier;

[0028] Determining whether the transportation parameters satisfy the constraint information;

[0029] If the transportation parameters satisfy the constraint condition information, it is determined that the transportation parameter verification has passed.

[0030] In one embodiment, after generating the vehicle configuration information corresponding to the target route according to the vehicle configuration parameters, the method further includes:

[0031] generating a vehicle deployment instruction according to the vehicle configuration information;

[0032] The vehicle allocation instruction is sent to a control terminal corresponding to the target route, so that the control terminal controls the transportation process of the target route according to the vehicle allocation instruction.

[0033] A device for generating vehicle configuration information, the device comprising:

[0034] A parameter information acquisition module is used to acquire transportation parameter information of a target route; the target route is composed of transportation nodes, and the transportation parameter information carries a vehicle type identification;

[0035] a calculation result generating module, configured to calculate the transport parameter information using a configuration model corresponding to the vehicle type identifier to obtain a calculation result corresponding to the transport node; the calculation result is used to indicate whether the target vehicle can arrive at the transport node within a preset time limit;

[0036] A configuration parameter determination module, configured to determine the vehicle configuration parameters corresponding to the transport node based on the measurement results;

[0037] A configuration information determination module is used to generate vehicle configuration information corresponding to the target route according to the vehicle configuration parameters.

[0038] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0039] Acquire transportation parameter information of a target route; the target route is composed of transportation nodes, and the transportation parameter information carries a vehicle type identification;

[0040] The transport parameter information is calculated using a configuration model corresponding to the vehicle type identifier to obtain a calculation result corresponding to the transport node; the calculation result is used to indicate whether a target vehicle can arrive at the transport node and complete vehicle preparation within a preset time limit; the target vehicle is the vehicle corresponding to the vehicle type identifier;

[0041] Determining vehicle configuration parameters corresponding to the transport node based on the measurement results;

[0042] Vehicle configuration information corresponding to the target route is generated according to the vehicle configuration parameters.

[0043] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0044] Acquire transportation parameter information of a target route; the target route is composed of transportation nodes, and the transportation parameter information carries a vehicle type identification;

[0045] The transport parameter information is calculated using a configuration model corresponding to the vehicle type identifier to obtain a calculation result corresponding to the transport node; the calculation result is used to indicate whether a target vehicle can arrive at the transport node and complete vehicle preparation within a preset time limit; the target vehicle is the vehicle corresponding to the vehicle type identifier;

[0046] Determining vehicle configuration parameters corresponding to the transport node based on the measurement results;

[0047] Generating vehicle configuration information corresponding to the target route according to the vehicle configuration parameters.

[0048] The above-mentioned method, apparatus, computer device, and storage medium for generating vehicle configuration information obtain transportation parameter information of a target route; the target route is composed of transportation nodes, and the transportation parameter information carries a vehicle type identification; the transportation parameter information is calculated using a configuration model corresponding to the vehicle type identification to obtain a calculation result corresponding to the transportation node; the calculation result is used to indicate whether the target vehicle can arrive at the transportation node and complete vehicle preparation within a preset period; the target vehicle is the vehicle corresponding to the vehicle type identification; based on the calculation result, the vehicle configuration parameters corresponding to the transportation node are determined; and based on the vehicle configuration parameters, vehicle configuration information corresponding to the target route is generated. In this way, based on the vehicle type identification corresponding to the target route, a corresponding configuration model is selected to calculate whether the vehicle can arrive at each transportation node on time, and the vehicle configuration parameters are determined based on the calculation result, and the vehicle configuration information corresponding to the target route is further obtained. Calculating for each transportation node can optimize the vehicle configuration result, and at the same time, without manual scheduling calculation, it can increase the speed of generating vehicle configuration information during vehicle scheduling, improve the utilization rate of logistics vehicles, and enhance the processing efficiency of cargo transportation. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A diagram illustrating an application environment of a method for generating vehicle configuration information in one embodiment;

[0050] Figure 2 1 is a flow chart of a method for generating vehicle configuration information in one embodiment;

[0051] Figure 3A schematic diagram of a target route for drop-and-hook transport in one embodiment;

[0052] Figure 4 1. A schematic flow chart of the steps for obtaining a measurement result corresponding to a transport node in one embodiment;

[0053] Figure 5 A schematic flow chart of the steps of obtaining vehicle configuration parameters corresponding to a transport node in one embodiment;

[0054] Figure 6 It is a structural block diagram of a device for generating vehicle configuration information in one embodiment;

[0055] Figure 7 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0057] The method for generating vehicle configuration information provided in this application can be applied to Figure 1 In the application environment shown in FIG. , the terminal 11 communicates with the server 12 via a network. Figure 1 The server 12 obtains the transportation parameter information for the target route sent by the terminal 11 through the network; the target route is composed of transportation nodes, and the transportation parameter information carries the vehicle type identification; the server 12 calculates the transportation parameter information through the configuration model corresponding to the vehicle type identification, and obtains the calculation result corresponding to the transportation node; the calculation result is used to indicate whether the target vehicle can arrive at the transportation node and complete vehicle preparation within a preset period; the target vehicle is the vehicle corresponding to the vehicle type identification; the server 12 determines the vehicle configuration parameters corresponding to the transportation node based on the calculation result; the server 12 generates vehicle configuration information corresponding to the target route based on the vehicle configuration parameters.

[0058] The terminal 11 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, and portable wearable devices, and the server 12 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0059] In one embodiment, Figure 2 As shown, a method for generating vehicle configuration information is provided, and the method is applied to Figure 1 Taking the server 12 in the example as an example, the following steps are included:

[0060] Step 21, obtaining the transport parameter information of the target line; the target line is composed of transport nodes, and the transport parameter information carries a vehicle type identifier.

[0061] The target line is a fixed line for the vehicle to perform a transport task, and can be a one-way line or a round-trip line.

[0062] The transport parameter information refers to parameters corresponding to the target line, such as train information, cargo information, time information, distance information, etc.; the transport node is node information constituting the target line, such as the origin, destination, loading location, and unloading location.

[0063] The vehicle type identifier is a specification of the vehicle type corresponding to the target line, for example, in drop-and-pull transportation, it is specified that line A is transported by a 14T vehicle type with a load of 14 tons, and line B is transported by a 30T vehicle type with a load of 30 tons, so the vehicle type identifier corresponding to line A is 14T, and the vehicle type identifier corresponding to line B is 30T.

[0064] As shown in Figure 3 , it is a schematic diagram of a target line of drop-and-pull transportation. Drop-and-pull transportation refers to a mode of goods transportation in which a car follows a predetermined transport plan, drops and hooks a specified trailer at each transport node, and continues to run, which can shorten the downtime of the loaded car (or tractor) to the minimum, thereby maximizing the use of traction capacity and improving transport efficiency; under the same conditions, it can have higher transport efficiency than fixed-pull transportation.

[0065] Among them, A1, B1, A2, and B2 are four transport nodes of the target line, and the driving route can be that the vehicle departs from A1, drives to B1 with the goods to complete the first batch of goods transportation, then drops the trailer at B1 and drives to B2 empty, hooks the trailer at B2 and loads the goods, drives to A2 to complete the second batch of goods transportation, then drops the trailer at A2 and drives to A1 to complete the goods transportation. It should be noted that in actual application, the transport nodes are not limited to the layout and number shown in Figure 3 , and the transport nodes that can be dropped and pulled can also be determined according to the application.

[0066] As shown in Table 1, a vehicle type identifier corresponding to a target line is provided. Figure 3The transportation parameter information table corresponding to the target route is shown; among them, empty trip 1 is the driving distance between B1 and B2, and empty trip 2 is the driving distance between A2 and A1; departure time is the time when the vehicle starts and leaves the current transportation node, that is, departure 1 and arrival 1 are the time when the vehicle leaves A1 and arrives at B2; arrival time is the time when the vehicle enters the next transportation node, that is, the vehicle; parking time is the time when the vehicle enters the warehouse, which corresponds to the time point when the vehicle is ready for repair and starts the next transportation. The interval between parking time and departure time can be the preparation time for the vehicle to hook up the trailer and load the cargo; span days refers to whether there is an interval of 0 o'clock between departure time and arrival time, that is, whether a single transportation is completed within one natural day. If it is completed within the next day, it is recorded as one span day, and so on.

[0067]

[0068] Table 1

[0069] As shown in Table 2, specific parameters corresponding to Table 1 are provided for actual situations. Transport nodes are identified by preset codes, for example, the code corresponding to A1 is 755WE, and the code corresponding to A2 is 755X. Furthermore, it can be found from the table that the idle distance from A2 to A1 is 7.897 kilometers, that is, A2 and A1 are two transport nodes that are close to each other. Since B1 and B2 have the same preset code, B1 and B2 are actually the same transport node, and therefore the idle distance from B1 to B2 is null. However, for the convenience of data processing, B1 and B2 can be treated as two transport nodes.

[0070]

[0071] Table 2

[0072] Specifically, based on the route configuration, the terminal can send relevant parameter information to the server in the format of Table 1 or Table 2, or directly send the parameters to the server, which then fills in the table according to a preset format template to generate a tabular data file similar to Table 1 or Table 2. It should be noted that transportation parameter information is not limited to data or tabular forms; any form that can be obtained by the server and subsequently calculated can be used as transportation parameter information.

[0073] In this step, the server obtains the transportation parameter information of the target route and obtains data that can be measured corresponding to the target route, eliminating the need for manual scheduling calculations and increasing the speed of generating vehicle configuration information during vehicle scheduling.

[0074] Step 22, calculate the transport parameter information through the configuration model corresponding to the vehicle type identification to obtain a calculation result corresponding to the transport node; the calculation result is used to indicate whether the target vehicle can arrive at the transport node and complete vehicle preparation within a preset period; the target vehicle is the vehicle corresponding to the vehicle type identification.

[0075] Among them, vehicle preparation means that the vehicle has made preparations for the next transportation, which corresponds to the node corresponding to the docking time in Table 1, and can also be called docking; that is, the measurement result is used to determine the configuration model of the target vehicle, which is a measurement logic corresponding to the vehicle model identification; different vehicle model identifications correspond to different measurement logics; the configuration model can calculate and process the transportation parameters to obtain the measurement results of transportation between multiple transportation nodes of the target route.

[0076] Furthermore, the purpose of cargo transportation is to deliver the goods within the time limit specified in the logistics order, that is, the vehicle needs to strictly abide by the time information such as the parking time, departure time, arrival time and the resulting time limit information to ensure the timely delivery of the goods; therefore, if the measurement result is that the target vehicle cannot arrive at the transportation node within the preset time limit, it may be necessary to dispatch additional vehicles to replace the smoke vehicle to perform the transportation task of the next transportation section, that is, adjust the vehicle configuration of the target route; when the vehicle configuration is applied to the drop-and-hook transportation, it can include various types of configuration information such as the number of vehicle heads, the number of trailers, the driving speed, the vehicle model identification, etc.

[0077] Specifically, to improve vehicle utilization efficiency in logistics transportation, it is necessary to ensure that as few vehicles as possible complete the transportation task within the deadline. The target route includes multiple transportation nodes, that is, it forms a cycle, so as to fully improve the utilization efficiency and transportation efficiency of vehicles. Therefore, the measurement result corresponds to the transportation node, that is, the measurement is whether there is sufficient time for the vehicle to prepare after moving from one transportation node to the next transportation node, that is, whether the interval between the arrival time and the arrival time is sufficient. If it is sufficient, the vehicle can proceed to the next transportation segment after completing the previous transportation segment. If it is not sufficient, the current vehicle cannot reach the next transportation node in time and complete the preparation work. In order to meet the deadline for the cargo transportation, it is necessary to adjust the vehicle configuration and dispatch another vehicle to carry out the subsequent transportation segment to ensure the cargo transportation is complete.

[0078] This step calculates the transportation parameter information through the configuration model. Based on the calculation results, it can be judged whether the transportation timeliness of each transportation node is sufficient, and the specific vehicle configuration can be determined according to the situation. There is no need for manual scheduling calculations, which can increase the speed of generating vehicle configuration information during vehicle scheduling, improve the utilization rate of logistics vehicles, and improve the processing efficiency of cargo transportation.

[0079] Step 23: Determine the vehicle configuration parameters corresponding to the transport node based on the calculation results.

[0080] The vehicle configuration parameter refers to a parameter of vehicle allocation for completing corresponding transportation work between transportation nodes. For example, if it is calculated that a vehicle can arrive at and complete preparation at the transportation node B in time from the transportation node A, the vehicle configuration parameter can be one vehicle head and one vehicle body. If it is calculated that a vehicle cannot arrive at the transportation node B in time from the transportation node A, one more vehicle can be added for transportation according to the situation, that is, two vehicle heads and two vehicle bodies.

[0081] Specifically, the determination process of the vehicle configuration parameter can be adjusted in real time according to the calculation result. The vehicle configuration parameter corresponding to the transportation node is obtained through the calculation result, so that the preliminary determination of the vehicle required for the target line transportation can be realized, the real-time adjustment and adaptability of the vehicle configuration are improved, and the generation speed of the vehicle configuration information is improved.

[0082] In step 24, the vehicle configuration information corresponding to the target line is generated according to the vehicle configuration parameter.

[0083] The vehicle configuration information is complete configuration information corresponding to the target line, that is, the vehicle configuration parameter corresponding to the transportation node is integrated according to the target line to obtain information reflecting the vehicle configuration of the whole transportation line.

[0084] Specifically, the vehicle configuration information corresponding to the target line can be adjusted according to the change of the vehicle configuration parameter corresponding to the transportation node. For example, the target line is composed of the transportation nodes A and B, the vehicle configuration parameter 1 is obtained by calculating the vehicle from A to B, the vehicle configuration parameter 2 is obtained by calculating the vehicle from B to A, and the vehicle configuration information of the target line can be obtained through the vehicle configuration parameter 1 and the vehicle configuration parameter 2.

[0085] In this step, the vehicle configuration information of the target line is obtained through the vehicle configuration parameter of the transportation node, and the line can be configured and adjusted according to the calculation of the transportation node, the generation speed of the vehicle configuration information is improved when the vehicle is dispatched, the utilization rate of the logistics vehicle is improved, and the processing efficiency of the cargo transportation is improved.

[0086] The generation method of the vehicle configuration information includes: obtaining transportation parameter information of a target line; the target line is composed of transportation nodes, and the transportation parameter information carries a vehicle model identifier; calculating the transportation parameter information by using a configuration model corresponding to the vehicle model identifier to obtain a calculation result corresponding to the transportation nodes; the calculation result is used to represent whether a target vehicle can reach the transportation nodes and complete vehicle preparation within a preset deadline; the target vehicle is a vehicle corresponding to the vehicle model identifier; determining vehicle configuration parameters corresponding to the transportation nodes according to the calculation result; and generating vehicle configuration information corresponding to the target line according to the vehicle configuration parameters. According to the vehicle model identifier corresponding to the target line, the corresponding configuration model is selected to calculate whether the vehicle can reach each transportation node on time, the vehicle configuration parameters are determined according to the calculation result, and the vehicle configuration information corresponding to the target line is further obtained. The calculation for each transportation node can optimize the configuration result of the vehicle, and at the same time, manual scheduling calculation is not required, the generation speed of the vehicle configuration information during vehicle scheduling is improved, the utilization rate of the logistics vehicle is improved, and the processing efficiency of the cargo transportation is improved.

[0087] In one embodiment, the transportation parameter information includes node information, train information, distance information and deadline information; as shown in Figure 4 The step 22 calculates the transportation parameter information by using the configuration model corresponding to the vehicle model identifier to obtain the calculation result corresponding to the transportation nodes, including:

[0088] The step 41 determines the target node and the target path based on the node information and the train information by using the configuration model.

[0089] The step 42 determines the time information of the target vehicle reaching the target node through the target path according to the distance information.

[0090] The step 43 determines the calculation result of whether the target vehicle can reach the target node within the preset deadline according to the difference between the time information and the deadline information, as the calculation result corresponding to the transportation nodes.

[0091] As shown in Table 1, the node information can be information for identifying the transportation nodes such as the starting transportation node and the destination transportation node; the train information can be information for identifying single transportation determined according to two transportation nodes; the distance information can be information for identifying the length of the transportation path such as the line mileage and the empty running distance; and the deadline information can be information related to time such as the arrival time, the departure time, the arrival time and the number of days to be crossed, which can determine the corresponding deadline.

[0092] The target node is the starting and ending transport node of this transportation, and the target path is the transport path formed between the nodes; the time to arrive at the target node is the time the vehicle spends on the target path, that is, the difference between the departure time and the arrival time; the deadline information can also include a pre-determined time for the target path. For example, the deadline information is 1 hour for the A1-B1 trip, and the time it takes for the target vehicle to arrive at the target node via the target path is 2 hours. The calculation result can be that the target vehicle cannot arrive within the preset deadline and exceeds the deadline by 1 hour.

[0093] In the above embodiment, the measurement result can be calculated by using the transportation parameter information. The measurement result corresponds to the transportation node and has high accuracy and flexibility.

[0094] In one embodiment, the above step 23 determines the vehicle configuration parameters corresponding to the transport node based on the measurement results, specifically including: if the measurement result shows that the target vehicle can arrive at the transport node within a preset period, then the initial vehicle configuration parameters corresponding to the transport node are used as the vehicle configuration parameters corresponding to the transport node.

[0095] Specifically, the initial vehicle configuration parameters are the initial parameter information determined based on the transportation node. For example, if the cargo capacity of transportation node A is to load and unload two vehicles at the same time, the initial vehicle configuration parameters corresponding to transportation node A to B can be set to 2 head vehicles and 2 trailers, or they can be set to 1 head vehicle and 1 trailer. That is, the initial vehicle configuration parameters are predetermined based on the transportation node and can be adjusted later based on the measurement results.

[0096] In the above embodiment, whether to directly adopt the initial vehicle configuration parameters as the vehicle configuration parameters corresponding to the transport node can be directly determined based on the measurement results, thereby improving the efficiency of generating the vehicle configuration parameters.

[0097] In one embodiment, Figure 5 As shown, the above step 23, determining the vehicle configuration parameters corresponding to the transport node based on the measurement results, also includes:

[0098] Step 51: If the calculation result shows that the target vehicle cannot arrive at the transportation node within the preset deadline, then obtain the configuration adjustment parameters corresponding to the deadline information;

[0099] Step 52 : Adjust the initial vehicle configuration parameters according to the configuration adjustment parameters to obtain the adjusted initial vehicle configuration parameters as the vehicle configuration parameters corresponding to the transport node.

[0100] Specifically, the configuration adjustment parameter is the adjustment of the number of vehicle configurations made to ensure the deadline of the goods when the target vehicle cannot arrive at the corresponding transport node within the preset deadline; for example, the vehicle at transport node AB cannot arrive within the deadline, that is, the vehicle cannot complete the preparation at B and return to node A on time, then an additional vehicle can be added to complete the transportation from transport node B to transport node A, that is, transport node B initially requires only one vehicle, but now requires two vehicles, and the extra vehicle is the configuration adjustment parameter corresponding to the deadline information, and the configuration result of the two vehicles is the adjusted vehicle configuration parameter corresponding to the transport node.

[0101] In the above embodiment, the initial vehicle configuration parameters are adjusted by configuring the adjustment parameters, thereby ensuring relative uniformity among the plurality of vehicle configuration parameters and ensuring stable operation of the method for generating vehicle configuration information.

[0102] In one embodiment, the above step 21, obtaining the transportation parameter information of the target route, specifically includes: obtaining a data file corresponding to the target route; parsing the data file to obtain the transportation parameter information; verifying the transportation parameter information; if the transportation parameter verification passes, then using the transportation parameter information as the transportation parameter information of the target route.

[0103] Specifically, the data file is a multi-type file data corresponding to the target route, such as road information, vehicle information, etc.; through the analysis, extraction, processing and verification steps of the data file, transportation parameter information with a certain storage format can be obtained, such as transportation parameter information in the form of an xlsx table.

[0104] The above embodiment improves the processing efficiency of the method for generating vehicle configuration information by verifying the transportation parameter information to avoid invalid information affecting subsequent calculations.

[0105] In one embodiment, the data file carries a target route identifier; the transportation parameter information is verified, specifically including: obtaining constraint information corresponding to the target route identifier; determining whether the transportation parameters satisfy the constraint information; if the transportation parameters satisfy the constraint information, determining that the transportation parameter verification has passed.

[0106] Specifically, constraint information is the criteria used to verify transportation parameters. For example, the law stipulates that the arrival time cannot be later than the departure time, the arrival time cannot be later than the arrival time, and the route mileage cannot be null. Constraint information ensures that all parameters in the obtained transportation parameter information are valid, avoiding errors in data processing logic during the measurement process.

[0107] In this embodiment, the transportation parameters are verified through the constraint information, which improves the parameter processing efficiency and avoids the defect of using transportation parameter information that does not meet the requirements and leads to inaccurate measurement results.

[0108] In one embodiment, after generating vehicle configuration information corresponding to the target route based on the vehicle configuration parameters, the method further includes: generating a vehicle deployment instruction based on the vehicle configuration information; and sending the vehicle deployment instruction to a control terminal corresponding to the target route, so that the control terminal controls the transportation process of the target route according to the vehicle deployment instruction.

[0109] Specifically, the vehicle dispatch instruction enables the control terminal to control the transportation process, such as determining the specific vehicle to complete the target route transportation task and assigning the corresponding driver; obtaining the corresponding data file when the vehicle arrives at or leaves the transportation node and sending it to the server for calculation, etc.

[0110] In this embodiment, vehicle deployment instructions are generated through vehicle configuration information, so that the final vehicle configuration information can be converted into specific instructions for controlling the transportation process, thereby realizing the scheduling of vehicles and personnel; without human participation, while increasing the speed of generating vehicle configuration information, the processing efficiency of cargo transportation is improved.

[0111] In order to help those skilled in the art understand this solution, the following is a description of the solution using a vehicle with a vehicle model identification of 30T, in conjunction with Table 3 and Table 4 (Table 4 shows the actual application parameters corresponding to the data in Table 3).

[0112]

[0113] Table 3

[0114]

[0115] Table 4

[0116] Specifically, the server obtains Table 4 as the transportation parameter information of the target route 2, which includes transportation nodes C3, D3, D4, and C4, and the vehicle type identification is 30T.

[0117] Since the 30T vehicle model is a vehicle model that can drop trailers, the configuration model corresponding to the 30T vehicle model is obtained and combined with Table 4 to calculate the target route 2. That is, the result calculated by the configuration model should include the number of vehicle heads and trailers required to complete the target route 2.

[0118] Taking the parameters in Tables 3 and 4 as an example, the following briefly explains the logic of the configuration model for the 30T model:

[0119] (1) The initial number of vehicles is equal to the initial number of trailers, both of which are 1, and is recorded as vehicle number 1 = trailer number 1 = 1; (2) Determine whether the vehicle can reach the transport node D4 from the transport node D3 in time. If there is sufficient time to reach the transport node D4 (calculate whether the time to vehicle 3 plus the vehicle arrival and preparation time (including the time spent on empty driving) is earlier than the time to reach vehicle 4, that is, whether the result of 2:30 + 5 hours (the time spent on the vehicle on the way and preparation) + 23.955 / 60 (the time spent on empty driving) in Table 4 is earlier than 2:00, if so, it is determined that there is sufficient time), then there is no need to temporarily dispatch additional vehicles and trailers, that is, vehicle number 2 = trailer number 2 = vehicle Number of heads 1 = 1; then determine whether the vehicle has sufficient time to drop and hook (calculate whether the time to vehicle 3 plus the time for vehicle arrival and preparation (including the time spent on empty driving) is earlier than the time of departure 4, that is, whether the result of 2:30 + 5 hours (time spent on vehicle en route and preparation) + 23.955 / 60 (time spent on empty driving) in Table 4 is earlier than 5:30. If so, it is determined that there is sufficient time). If so, the drop and hook point is determined to be D4, that is, number of heads 2 = number of heads 1, number of trailers 2 = number of trailers 1 + 1 = 2; if there is not enough time for drop and hook, then determine that D4 cannot be used as the drop and hook point, that is, number of heads 2 = number of trailers 2 = number of trailers 1 + 1. It should be noted that the above exemplary measurement logic is only one of the multiple configuration models used. In actual applications, there are multiple measurement methods and measurement logics. Therefore, any configuration model that can reflect whether the target vehicle can arrive at the transportation node and complete vehicle preparation within the preset period is an acceptable configuration model.

[0120] Then, according to the above configuration model, transport node C4 is calculated and returned to transport node C3 to obtain another calculation result. Through the calculation results of multiple nodes, the optimal solution corresponding to the target route can be determined, and multiple vehicle configuration parameters corresponding to the transport nodes can be obtained, and then the vehicle configuration information corresponding to the target route can be further obtained.

[0121] It should be understood that although Figure 2 、 4 The steps in the flowchart of FIG5 are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 2 、 4 At least part of the steps in 5 may include multiple steps or multiple stages. These steps or stages do not necessarily have to be performed at the same time, but can be performed at different times. The order of execution of these steps or stages is not necessarily one by one, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0122] In one embodiment, Figure 6 As shown, a device for generating vehicle configuration information is provided, comprising: a parameter information acquisition module 61, a measurement result generation module 62, a configuration parameter determination module 63 and a configuration information determination module 64, wherein:

[0123] The parameter information acquisition module 61 is used to acquire the transportation parameter information of the target route; the target route is composed of transportation nodes, and the transportation parameter information carries the vehicle type identification;

[0124] The calculation result generating module 62 is used to calculate the transport parameter information using the configuration model corresponding to the vehicle type identification to obtain a calculation result corresponding to the transport node; the calculation result is used to indicate whether the target vehicle can arrive at the transport node within a preset time limit;

[0125] Configuration parameter determination module 63, used to determine the vehicle configuration parameters corresponding to the transport node based on the measurement results;

[0126] The configuration information determination module 64 is configured to generate vehicle configuration information corresponding to the target route according to the vehicle configuration parameters.

[0127] In one embodiment, the calculation result generation module 62 is also used to determine the target node and target path based on the node information and the train number information through the configuration model; determine the time information for the target vehicle to arrive at the target node via the target path according to the distance information; and determine the calculation result of whether the target vehicle can arrive at the target node within the preset time limit according to the difference between the time information and the time limit information, as the measurement result corresponding to the transportation node.

[0128] In one embodiment, the configuration parameter determination module 63 is further configured to use the initial vehicle configuration parameters corresponding to the transport node as the vehicle configuration parameters corresponding to the transport node if the calculation result shows that the target vehicle can arrive at the transport node within a preset period.

[0129] In one embodiment, the configuration parameter determination module 63 is also used to obtain configuration adjustment parameters corresponding to the deadline information if the measurement result shows that the target vehicle cannot arrive at the transportation node within the preset deadline; adjust the initial vehicle configuration parameters according to the configuration adjustment parameters to obtain the adjusted initial vehicle configuration parameters as the vehicle configuration parameters corresponding to the transportation node.

[0130] In one embodiment, the parameter information acquisition module 61 is further used to obtain a data file corresponding to the target route; parse the data file to obtain transportation parameter information; verify the transportation parameter information; if the transportation parameter verification passes, the transportation parameter information is used as the transportation parameter information of the target route.

[0131] In an embodiment, the parameter information obtaining module 61 is further configured to obtain constraint condition information corresponding to the target line identifier; determine whether the transportation parameter satisfies the constraint condition information; and if the transportation parameter satisfies the constraint condition information, determine that the transportation parameter passes the verification.

[0132] In an embodiment, the vehicle configuration information generation apparatus further comprises a transportation control module configured to generate a vehicle deployment instruction according to the vehicle configuration information; and send the vehicle deployment instruction to a control terminal corresponding to the target line, so that the control terminal controls the transportation process of the target line according to the vehicle deployment instruction.

[0133] For specific limitations of the vehicle configuration information generation apparatus, refer to the limitations of the vehicle configuration information generation method described above, which will not be repeated here. Each module in the vehicle configuration information generation apparatus described above can be realized by software, hardware, and combinations thereof, in whole or in part. Each module described above can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to each module.

[0134] In an embodiment, a computer device is provided, which can be a server, and the internal structure diagram thereof can be as shown in Figure 7 The computer device comprises a processor, a memory, and a network interface connected through a system bus. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The database of the computer device is configured to store generation data of vehicle configuration information. The network interface of the computer device is configured to communicate with an external terminal through a network connection. The computer program is executed by the processor to implement a vehicle configuration information generation method.

[0135] Those skilled in the art can understand that Figure 7 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can comprise more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0136] In an embodiment, a computer device is provided, comprising a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the following steps:

[0137] Obtain the transportation parameter information of the target route; the target route is composed of transportation nodes, and the transportation parameter information carries the vehicle type identification;

[0138] The transport parameter information is calculated using the configuration model corresponding to the vehicle type identification to obtain a calculation result corresponding to the transport node; the calculation result is used to indicate whether the target vehicle can arrive at the transport node and complete vehicle preparation within a preset time limit; the target vehicle is the vehicle corresponding to the vehicle type identification;

[0139] According to the measurement results, determine the vehicle configuration parameters corresponding to the transportation node;

[0140] Generate vehicle configuration information corresponding to the target route based on the vehicle configuration parameters.

[0141] In one embodiment, when the processor executes the computer program, the following steps are also implemented: by configuring the model, based on the node information and the train number information, the target node and the target path are determined; based on the distance information, the time information for the target vehicle to arrive at the target node via the target path is determined; based on the difference between the time information and the deadline information, a measurement result of whether the target vehicle can arrive at the target node within the preset deadline is determined as the measurement result corresponding to the transportation node.

[0142] In one embodiment, when the processor executes the computer program, it further implements the following steps: if the calculation result shows that the target vehicle can arrive at the transportation node within a preset period, the initial vehicle configuration parameters corresponding to the transportation node are used as the vehicle configuration parameters corresponding to the transportation node.

[0143] In one embodiment, when the processor executes the computer program, it also implements the following steps: if the measurement result is that the target vehicle cannot arrive at the transportation node within the preset time limit, then obtain the configuration adjustment parameters corresponding to the time limit information; adjust the initial vehicle configuration parameters according to the configuration adjustment parameters to obtain the adjusted initial vehicle configuration parameters as the vehicle configuration parameters corresponding to the transportation node.

[0144] In one embodiment, when the processor executes the computer program, it further implements the following steps: obtaining a data file corresponding to the target route; parsing the data file to obtain transportation parameter information; verifying the transportation parameter information; if the transportation parameter verification passes, using the transportation parameter information as the transportation parameter information of the target route.

[0145] In one embodiment, when the processor executes the computer program, the processor further implements the following steps: obtaining constraint information corresponding to the target route identifier; determining whether the transportation parameters meet the constraint information; if the transportation parameters meet the constraint information, determining that the transportation parameter verification has passed.

[0146] In one embodiment, when the processor executes the computer program, it further implements the following steps: generating a vehicle dispatch instruction based on the vehicle configuration information; sending the vehicle dispatch instruction to a control terminal corresponding to the target route, so that the control terminal controls the transportation process of the target route according to the vehicle dispatch instruction.

[0147] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0148] Obtain the transportation parameter information of the target route; the target route is composed of transportation nodes, and the transportation parameter information carries the vehicle type identification;

[0149] The transport parameter information is calculated using the configuration model corresponding to the vehicle type identification to obtain a calculation result corresponding to the transport node; the calculation result is used to indicate whether the target vehicle can arrive at the transport node and complete vehicle preparation within a preset time limit; the target vehicle is the vehicle corresponding to the vehicle type identification;

[0150] According to the measurement results, determine the vehicle configuration parameters corresponding to the transportation node;

[0151] Generate vehicle configuration information corresponding to the target route based on the vehicle configuration parameters.

[0152] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: by configuring the model, based on the node information and the train number information, the target node and the target path are determined; based on the distance information, the time information for the target vehicle to arrive at the target node via the target path is determined; based on the difference between the time information and the deadline information, a measurement result of whether the target vehicle can arrive at the target node within the preset deadline is determined as the measurement result corresponding to the transportation node.

[0153] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: if the measurement result shows that the target vehicle can arrive at the transportation node within a preset period, the initial vehicle configuration parameters corresponding to the transportation node are used as the vehicle configuration parameters corresponding to the transportation node.

[0154] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: if the measurement result is that the target vehicle cannot arrive at the transportation node within the preset time limit, the configuration adjustment parameters corresponding to the time limit information are obtained; the initial vehicle configuration parameters are adjusted according to the configuration adjustment parameters to obtain the adjusted initial vehicle configuration parameters as the vehicle configuration parameters corresponding to the transportation node.

[0155] In an embodiment, the computer program, when executed by the processor, further implements the following steps: obtaining a data file corresponding to the target line; parsing the data file to obtain the transportation parameter information; verifying the transportation parameter information; and if the transportation parameter verification is passed, taking the transportation parameter information as the transportation parameter information of the target line.

[0156] In an embodiment, the computer program, when executed by the processor, further implements the following steps: obtaining constraint condition information corresponding to the target line identifier; determining whether the transportation parameter satisfies the constraint condition information; and if the transportation parameter satisfies the constraint condition information, determining that the transportation parameter verification is passed.

[0157] In an embodiment, the computer program, when executed by the processor, further implements the following steps: generating a vehicle deployment instruction according to the vehicle configuration information; and sending the vehicle deployment instruction to a control terminal corresponding to the target line, so that the control terminal controls the transportation process of the target line according to the vehicle deployment instruction.

[0158] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware. The above-mentioned computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiments. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0159] The technical features of the above embodiments can be combined in any way. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not exist contradictions, they should be considered as the scope of the present application.

[0160] The above embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A method for generating vehicle configuration information, characterized in that: The method comprises: Acquire transportation parameter information of a target route; the target route is composed of multiple transportation nodes, and the transportation parameter information carries a vehicle type identifier, which is used to represent the load capacity of the vehicle required for the target route; The transport parameter information is calculated using a configuration model corresponding to the vehicle type identifier to obtain a calculation result between each two transport nodes; the calculation result between the two transport nodes is used to indicate whether the target vehicle can reach the target node of the two transport nodes and complete vehicle preparation within a preset time limit; the target vehicle is the vehicle corresponding to the vehicle type identifier; the target node of the two transport nodes is the transport node that needs to be reached between the two transport nodes; Determining the vehicle configuration parameters corresponding to each target node based on the measurement results between each two transport nodes; The vehicle configuration information corresponding to the target route is generated according to the vehicle configuration parameters corresponding to each target node.

2. The method according to claim 1, characterized in that The transport parameter information includes node information, train number information, distance information and deadline information; The transport parameter information is calculated using the configuration model corresponding to the vehicle type identifier to obtain a calculation result between every two transport nodes, including: For every two transport nodes, determining the target nodes and target paths corresponding to the two transport nodes based on the node information and the train number information through the configuration model; Determining, based on the distance information, the time information at which the target vehicle arrives at the target node via the target path; According to the difference between the time information and the deadline information, a calculation result of whether the target vehicle can arrive at the target node within the preset deadline is determined as the calculation result between the two transportation nodes.

3. The method according to claim 2, characterized in that Determining the vehicle configuration parameters corresponding to each target node based on the measurement results between each two transport nodes includes: For every two transport nodes, if the measurement result between the two transport nodes is that the target vehicle can reach the target node among the two transport nodes within a preset period, the initial vehicle configuration parameters corresponding to the target node will be used as the vehicle configuration parameters corresponding to the target node.

4. The method according to claim 3, characterized in that The step of determining the vehicle configuration parameters corresponding to each target node based on the measurement results between each two transport nodes further includes: For each two transport nodes, if the measurement result between the two transport nodes is that the target vehicle cannot reach the target node of the two transport nodes within a preset time limit, then obtaining a configuration adjustment parameter corresponding to the time limit information; The initial vehicle configuration parameters corresponding to the target node are adjusted according to the configuration adjustment parameters to obtain the adjusted initial vehicle configuration parameters as the vehicle configuration parameters corresponding to the transport node.

5. The method according to claim 1, wherein The step of obtaining the transport parameter information of the target route includes: Acquire a data file corresponding to the target line; Parsing the data file to obtain transportation parameter information; Verifying the transportation parameter information; If the transportation parameter verification passes, the transportation parameter information is used as the transportation parameter information of the target route.

6. The method according to claim 5, characterized in that The data file carries a target line identifier; The verifying of the transport parameter information includes: Acquire constraint information corresponding to the target route identifier; Determining whether the transportation parameters satisfy the constraint information; If the transportation parameters satisfy the constraint condition information, it is determined that the transportation parameter verification has passed.

7. The method according to any one of claims 1 to 6, characterized in that After generating vehicle configuration information corresponding to the target route according to the vehicle configuration parameters corresponding to each target node, the method further includes: generating a vehicle deployment instruction according to the vehicle configuration information; The vehicle allocation instruction is sent to a control terminal corresponding to the target route, so that the control terminal controls the transportation process of the target route according to the vehicle allocation instruction.

8. A device for generating vehicle configuration information, characterized in that: The device comprises: A parameter information acquisition module is used to acquire transportation parameter information of a target route; the target route is composed of multiple transportation nodes, and the transportation parameter information carries a vehicle type identification, which is used to represent the load capacity of the vehicle required for the target route; a calculation result generating module for calculating the transport parameter information using a configuration model corresponding to the vehicle type identifier to obtain a calculation result between each two transport nodes; the calculation result between the two transport nodes is used to indicate whether the target vehicle can reach a target node among the two transport nodes and complete vehicle preparation within a preset time limit; the target vehicle is the vehicle corresponding to the vehicle type identifier; the target node among the two transport nodes is the transport node that needs to be reached among the two transport nodes; A configuration parameter determination module is used to determine the vehicle configuration parameters corresponding to each target node based on the measurement results between each two transportation nodes; The configuration information determination module is used to generate vehicle configuration information corresponding to the target route according to the vehicle configuration parameters corresponding to each target node.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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