Vehicle resource scheduling method, device, computer equipment and storage medium

Abstract

The present application relates to a method, device, computer equipment and storage medium for scheduling vehicle resources. The method includes: obtaining a waybill sorting time set and a corresponding median sorting time for each transport capacity; obtaining the waybill sorting time of different quantiles of the waybill sorting time set, and determining a target sorting time threshold point according to the waybill sorting time of different quantiles and the median sorting time; determining the sorting start time and sorting end time of each waybill according to the target sorting time threshold point; restoring the real unloading time of the waybill according to the sorting start time, sorting end time and the average time from unloading to sorting operation; and scheduling vehicles according to the real unloading time through a vehicle resource scheduling model. The use of this method can improve the utilization rate of vehicle resources.

Description

Technical Field

[0001] The present application relates to the field of logistics and transportation technology, and in particular to a method, device, computer equipment and storage medium for scheduling vehicle resources. Background Art

[0002] In the field of logistics, time monitoring of each routing process is very necessary. Accurate operation time of each node can not only reasonably arrange vehicles to perform scheduling tasks and improve vehicle utilization, but also effectively monitor the execution efficiency of the site.

[0003] However, when most transportation tasks are unloading at each site, there is a "one-click unloading" or false unloading operation, and a false unloading start time and end time are obtained according to the "one-click unloading" or false unloading operation; the queuing time and unloading time of the transportation task are determined according to the unloading start time and end time of each task, resulting in the vehicle being idle after completing the task, and new transportation tasks cannot be assigned to the vehicle in time, which leads to low vehicle utilization efficiency and unreasonable vehicle resource arrangement. Summary of the invention

[0004] Based on this, it is necessary to provide a vehicle resource scheduling method, device, computer equipment and storage medium that can improve the utilization rate of vehicle resources in response to the above technical problems.

[0005] A method for scheduling vehicle resources, the method comprising:

[0006] Get the waybill sorting time set and the corresponding median sorting time for each transport capacity;

[0007] Obtaining the waybill sorting time of different quantiles of the waybill sorting time set, and determining the target sorting time threshold point according to the waybill sorting time of different quantiles and the median sorting time;

[0008] Determine the sorting start time and sorting end time of each waybill according to the target sorting time threshold point;

[0009] Restore the actual unloading time of the waybill based on the sorting start time, sorting end time and the average time from unloading to sorting operation;

[0010] The vehicles are scheduled according to the actual unloading time through the vehicle resource scheduling model.

[0011] In one embodiment, obtaining the waybill sorting time set for each transport capacity includes:

[0012] Obtain the capacity data, waybill unloading operation data and waybill routing data for each trip;

[0013] The transport capacity data, waybill unloading operation data and waybill routing data are associated with each transport capacity according to the vehicle logo, site information data and waybill number to obtain a waybill sorting time set for each transport capacity.

[0014] In one embodiment, obtaining the waybill sorting time of different quantiles of the waybill sorting time set, and determining the target sorting time threshold point according to the waybill sorting time of the different quantiles and the median sorting time, includes:

[0015] According to the different front and rear quantiles of the sorting time of each transport capacity, the time difference between the sorting time of different front and rear quantiles and the median sorting time is calculated;

[0016] When the preset proportion of the time difference in each transport capacity is within the preset time difference range, the target quantile corresponding to the time difference is used as the target sorting time threshold point.

[0017] In one embodiment, the step of calculating the time difference between the sorting time at different front and rear quantiles and the median sorting time according to the different front and rear quantiles of the sorting time of each transport capacity includes:

[0018] The first time difference is calculated based on the sorting time of different front quantile points and the median sorting time of each transport capacity sorting time;

[0019] The second time difference is calculated based on the sorting time of different quantile points of each transport capacity sorting time and the median sorting time;

[0020] A time difference is determined according to the first time difference and the second time difference.

[0021] In one embodiment, restoring the actual unloading time of the waybill according to the sorting start time, the sorting end time and the average duration from unloading to sorting operation includes:

[0022] Determine the unloading start time according to the difference between the sorting start time and the average time from unloading to sorting operation;

[0023] The unloading end time is determined according to a weighted value of the sorting end time and the average duration of the sorting operation.

[0024] In one embodiment, the vehicle resource scheduling model is used to schedule the vehicle according to the actual unloading time of the waybill, including:

[0025] Get the arrival time of each transport capacity;

[0026] Determine the queuing time of the vehicle according to the unloading start time and the vehicle arrival time, and determine the unloading time of the vehicle according to the unloading start time and the unloading end time;

[0027] Determine the task end time of each trip of the vehicle according to the arrival time, the queuing time and the unloading time;

[0028] Through the vehicle resource scheduling model, vehicle scheduling is performed according to the vehicle transportation flow data, timeliness type and the task end time.

[0029] In one embodiment, the method further comprises:

[0030] When it is detected that the queuing time is greater than the queuing time threshold, obtaining a site identifier where the vehicle is located;

[0031] Prompt information carrying the site identification is generated; the prompt information is used to update the vehicle resource scheduling strategy data corresponding to the site.

[0032] A vehicle resource scheduling device, the device comprising:

[0033] The acquisition module is used to obtain the waybill sorting time set and the corresponding median sorting time for each transport capacity;

[0034] A threshold determination module, used for obtaining the waybill sorting time of different quantiles of the waybill sorting time set, and determining the target sorting time threshold point according to the waybill sorting time of different quantiles and the median sorting time;

[0035] A time determination module, used to determine the sorting start time and sorting end time of each waybill according to the target sorting time threshold point;

[0036] A real unloading time restoration module, used to restore the real unloading time of the waybill according to the sorting start time, sorting end time and the average time from unloading to sorting operation;

[0037] The scheduling module is used to schedule vehicles according to the actual unloading time through a vehicle resource scheduling model.

[0038] A computer device comprises 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] Get the waybill sorting time set and the corresponding median sorting time for each transport capacity;

[0040] Obtaining the waybill sorting time of different quantiles of the waybill sorting time set, and determining the target sorting time threshold point according to the waybill sorting time of different quantiles and the median sorting time;

[0041] Determine the sorting start time and sorting end time of each waybill according to the target sorting time threshold point;

[0042] Restore the actual unloading time of the waybill based on the sorting start time, sorting end time and the average time from unloading to sorting operation;

[0043] The vehicles are scheduled according to the actual unloading time through the vehicle resource scheduling model.

[0044] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0045] Get the waybill sorting time set and the corresponding median sorting time for each transport capacity;

[0046] Obtaining the waybill sorting time of different quantiles of the waybill sorting time set, and determining the target sorting time threshold point according to the waybill sorting time of different quantiles and the median sorting time;

[0047] Determine the sorting start time and sorting end time of each waybill according to the target sorting time threshold point;

[0048] Restore the actual unloading time of the waybill based on the sorting start time, sorting end time and the average time from unloading to sorting operation;

[0049] The vehicles are scheduled according to the actual unloading time through the vehicle resource scheduling model.

[0050] The above-mentioned vehicle resource scheduling method, device, computer equipment and storage medium obtain the waybill sorting time of different quantiles before and after the waybill sorting time set, determine the target sorting time threshold point according to the waybill sorting time of different quantiles before and after and the median sorting time; determine the sorting start time and sorting end time of each waybill according to the target sorting time threshold point; restore the real unloading time of the waybill according to the sorting start time, the sorting end time and the average duration from unloading to sorting operation; and then complete the vehicle scheduling based on the vehicle resource scheduling model, that is, by restoring the unloading end time of the vehicle task, the time point when the vehicle completes the task can be obtained, and the vehicle resource scheduling model arranges other transportation tasks for it according to the task completion time point, thereby improving the vehicle utilization rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 An application environment diagram of a vehicle resource scheduling method in one embodiment;

[0052] Figure 2 A schematic diagram of a flow chart of a method for scheduling vehicle resources in one embodiment;

[0053] Figure 3 A schematic diagram of a flow chart of vehicle resource scheduling steps in one embodiment;

[0054] Figure 4 A schematic flow chart of a method for scheduling vehicle resources in another embodiment;

[0055] Figure 5 is a structural block diagram of a vehicle resource scheduling device in one embodiment;

[0056] Figure 6 It is a structural block diagram of a vehicle resource scheduling device in another embodiment;

[0057] Figure 7 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0059] The vehicle resource scheduling method provided in this application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The terminal 102 obtains the waybill sorting time set and the corresponding median sorting time of each transport capacity from the server 104 through the network; obtains the waybill sorting time of different quantiles of the waybill sorting time set, and determines the target sorting time threshold point according to the waybill sorting time of different quantiles and the median sorting time; determines the sorting start time and sorting end time of each waybill according to the target sorting time threshold point; restores the real unloading time of the waybill according to the sorting start time, sorting end time and the average time from unloading to sorting operation; and schedules the vehicle according to the real unloading time through the vehicle resource scheduling model. Among them, the terminal 102 can be but not limited to various personal computers, laptops, smart phones, tablet computers and portable wearable devices, and the server 104 can be implemented by an independent server or a server cluster composed of multiple servers.

[0060] In one embodiment, Figure 2 As shown, a vehicle resource scheduling method is provided, and the method is applied to Figure 1 The terminal in is used as an example to illustrate, including the following steps:

[0061] Step 202, obtaining the waybill sorting time set and the corresponding median sorting time for each transport capacity.

[0062] Each transport trip includes at least one waybill, and each waybill has a corresponding waybill sorting time, and the sorting time of each waybill is different, that is, each transport trip includes at least one waybill sorting time. The median sorting time refers to the sorting time corresponding to the waybill in the middle position in each transport trip; for example, if there are 100 waybills in a transport trip, the median sorting time is the sorting time of the 50th waybill.

[0063] Specifically, the capacity data, waybill unloading operation data and waybill routing data of each transport capacity are obtained, and the capacity data, waybill unloading operation data and waybill routing data are associated according to the vehicle logo, site information data and waybill number of each transport capacity to obtain the waybill sorting time set of each transport capacity; and the sorting time of the waybill in the middle position of the waybill is taken as the median sorting time.

[0064] Step 204, obtaining the waybill sorting time of different quantiles of the waybill sorting time set, and determining the target sorting time threshold point according to the waybill sorting time of different quantiles and the median sorting time.

[0065] The quantile refers to the i quantiles pre-set before and after the sorting time of each transport trip. The value range of the quantile i can be but is not limited to [1, 20]. For example, the quantile i can be but is not limited to the quintiles before and after, the deciles before and after, the twentieth quantiles before and after, etc.

[0066] Specifically, a first time difference is calculated according to the sorting time of different front quantiles and the median sorting time of each capacity sorting time; a second time difference is calculated according to the sorting time of different rear quantiles and the median sorting time of each capacity sorting time; the time difference is determined according to the first time difference and the second time difference, that is, the median sorting time of the capacity is determined according to the acquired waybill sorting time set, and the waybill sorting time corresponding to the front i quantiles and the corresponding waybill sorting time corresponding to the rear i quantiles of different quantiles of the waybill sorting time set are respectively selected, and the time difference between the waybill sorting time corresponding to the front i quantiles, the waybill sorting time corresponding to the rear i quantiles and the median sorting time is respectively calculated.

[0067] Step 206: Determine the sorting start time and sorting end time of each waybill according to the target sorting time threshold.

[0068] Specifically, the waybill sorting time corresponding to the determined first i quantiles is used as the waybill sorting start time, and the waybill sorting time corresponding to the determined last i quantiles is used as the waybill sorting end time.

[0069] Step 208, restore the actual unloading time of the waybill according to the sorting start time, the sorting end time and the average duration from unloading to sorting operation.

[0070] The average duration t3 is obtained by taking the weighted average of the difference between the sorting time of the waybill and the actual unloading time. The actual unloading time is obtained from the Shentong data. The Shentong data records the unloading start time and the unloading end time of the waybill by scanning the license plate with a scanning device. The next operation of the waybill after the unloading operation is the sorting operation of the waybill. For example, the unloading start time of transport capacity A is 12:00, and the sorting start time of transport capacity A is 12:06. The time difference between unloading and sorting of transport capacity A is 6 minutes. This difference is calculated for all transport capacities with actual unloading data, and the weighted average of the difference is obtained to obtain the average duration t3.

[0071] Specifically, the unloading start time is determined according to the difference between the sorting start time and the average duration from unloading to the sorting operation, that is, the unloading start time is obtained by subtracting the average duration from the sorting start time; the unloading end time is determined according to the weighted value of the sorting end time and the average duration of the sorting operation, that is, the unloading end time is obtained by adding the sorting end time to the average duration.

[0072] Step 210, scheduling vehicles according to the actual unloading time through the vehicle resource scheduling model.

[0073] Specifically, the arrival time of each transport capacity is obtained; the queuing time of the vehicle is determined according to the unloading start time and the arrival time, and the unloading time of the vehicle is determined according to the unloading start time and the unloading end time; the task end time of each transport capacity of the vehicle is determined according to the arrival time, the queuing time and the unloading time; the vehicle resource scheduling model is used to schedule the vehicle according to the transportation flow data, the timeliness type and the task end time of the vehicle. Among them, the transportation flow data includes data such as the destination information and the transfer site information, and the timeliness type can be but is not limited to the same day arrival, the next day arrival and other types.

[0074] For example, the transport capacity data data3 of the restored unloading time for one month is obtained, and the transport capacity data data3 includes the transport capacity id, license plate, vehicle type, arrival time, unloading start time, and unloading end time. The queue time is obtained by subtracting the arrival time from the unloading start time, and the unloading time is obtained by subtracting the unloading start time from the unloading end time. The queue time and unloading time of each vehicle type are obtained as shown in Table 1. The arrival time of each transport capacity is obtained, and the task end time is determined according to the arrival time, queue time and unloading time; as shown in Table 2, the task end time time2 data is determined for the arrival time time1, queue time min1 and unloading time min2 of the 1.5-ton vehicle type with XX license plate in XX transport capacity; the relationship between the task end time time2 and the arrival time time1, queue time min1 and unloading time min2 can be expressed as: time2 = time1 + min1 + min2. The task end time of each vehicle trip is determined based on the arrival time, queuing time and unloading time; through the vehicle resource scheduling model, the transportation task is arranged according to the vehicle's transportation flow data, timeliness type and task end time.

[0075] Table 1:

[0076] Model (tonnage) Waiting time Unloading time 1.5 min1 min2 3 min1 min2 7 min1 min2 … … …

[0077] Table 2:

[0078] Capacity License Plate Model Arrival time Waiting time Unloading time Task end time xxx xxx 1.5 time1 min1 min2 time2

[0079] In the above-mentioned vehicle resource scheduling method, by obtaining the waybill sorting time of different quantiles before and after the waybill sorting time set, the target sorting time threshold point is determined according to the waybill sorting time of different quantiles before and after and the median sorting time; the sorting start time and sorting end time of each waybill are determined according to the target sorting time threshold point; the real unloading time of the waybill is restored according to the sorting start time, the sorting end time and the average duration from unloading to sorting operation; and then based on the vehicle resource scheduling model, the vehicle scheduling is completed, that is, by restoring the unloading end time of the vehicle task, the time point when the vehicle completes the task can be obtained, and the vehicle resource scheduling model arranges other transportation tasks for it according to the task completion time point, thereby improving the vehicle utilization rate.

[0080] In one embodiment, Figure 3 As shown, a vehicle resource scheduling step is provided, which is applied to Figure 1 The following is an example of the terminal in Figure 1.

[0081] Step 302, obtaining the transport capacity data, waybill unloading operation data and waybill routing data of each transport trip.

[0082] Step 304 , according to the vehicle logo, site information data and waybill number of each transport capacity, the transport capacity data, the waybill unloading operation data and the waybill routing data are associated to obtain the waybill sorting time set of each transport capacity.

[0083] Step 306, setting different front and rear quantiles.

[0084] Step 308, calculating the time difference between the sorting time of different front and rear quantile points and the median sorting time.

[0085] Specifically, a first time difference is calculated based on the sorting time of different front quantiles and the median sorting time of each transport capacity sorting time; a second time difference is calculated based on the sorting time of different rear quantiles and the median sorting time of each transport capacity sorting time; and a time difference is determined based on the first time difference and the second time difference.

[0086] Step 310 , determining whether the time difference of the preset proportion in each trip capacity is within the preset time difference range, if so, executing step 312 , otherwise, executing step 314 .

[0087] Step 312: determine the sorting start time and sorting end time for each transport trip according to the target sorting time threshold.

[0088] Step 314, update the quantile and execute step 308.

[0089] Step 316, calculating the average duration from unloading to sorting operations.

[0090] Specifically, the unloading start time is determined according to the difference between the sorting start time and the average duration from unloading to the sorting operation; and the unloading end time is determined according to the weighted value of the sorting end time and the average duration of the sorting operation.

[0091] Step 318, restore the actual unloading time of the waybill according to the sorting start time, the sorting end time and the average duration from unloading to sorting operation.

[0092] Step 320, scheduling vehicles according to the actual unloading time through the vehicle resource scheduling model.

[0093] In the above vehicle resource scheduling step, by obtaining the capacity data, waybill unloading operation data and waybill routing data of each transport trip, the capacity data, waybill unloading operation data and waybill routing data are associated according to the vehicle logo, site information data and waybill number of each transport trip to obtain the waybill sorting time set of each transport trip, according to the different front and rear quantiles of the sorting time of each transport trip, the time difference between the sorting time of different front and rear quantiles and the median sorting time is calculated, and the target sorting time threshold point is determined according to the time difference, and the real unloading time of each transport trip is restored according to the obtained sorting start time and sorting end time of each transport trip and the average time from unloading operation to sorting operation, so as to obtain the real unloading time of each transport trip, and then determine the unloading time and queuing time of each transport trip. Based on the vehicle resource scheduling model, vehicle resources can be effectively scheduled to improve vehicle utilization.

[0094] In another embodiment, Figure 4 As shown, a vehicle resource scheduling method is provided, and the method is applied to Figure 1 The terminal in is used as an example to illustrate, including the following steps:

[0095] Step 402, obtaining the transport capacity data, waybill unloading operation data and waybill routing data of each transport trip.

[0096] The capacity data includes the license plate, vehicle logo and destination information of each transport trip. The vehicle logo refers to the marking of the vehicle or container for transporting the waybill to generate unique information, which is used to summarize the capacity data and waybill data to obtain the information of each waybill contained in each transport trip. The waybill unloading operation data includes the waybill number, vehicle logo, actual unloading time, site information data and bar gun unloading operation code of the waybill. The waybill routing data includes the waybill number, the sorting time and site information data of each waybill.

[0097] Specifically, the terminal obtains the transport capacity data, waybill unloading operation data and waybill routing data of each transport trip from different databases in the logistics and transportation system.

[0098] Step 404 , the transport capacity data, the waybill unloading operation data and the waybill routing data are associated according to the vehicle logo, site information data and waybill number of each transport capacity to obtain the waybill sorting time set of each transport capacity.

[0099] Specifically, the transport data and the waybill unloading operation data are associated with each transport capacity through the vehicle logo and site information data to obtain a first data set data1, which includes the waybill information data of each transport capacity (the waybill information data includes the waybill data and the unloading start time and end time of each waybill); the first data set is associated with the waybill routing data according to the waybill number to obtain a waybill sorting time set in which the sorting time of each transport capacity is earlier than the arrival time.

[0100] Step 406, according to the different front and rear quantiles of the sorting time of each transport capacity, the time difference between the sorting time of different front and rear quantiles and the median sorting time is calculated.

[0101] Specifically, a first time difference is calculated based on the sorting time of different front quantiles and the median sorting time of each transport capacity sorting time; a second time difference is calculated based on the sorting time of different rear quantiles and the median sorting time of each transport capacity sorting time; and a time difference is determined based on the first time difference and the second time difference.

[0102] Step 408: When the preset proportion of the time difference in each transport capacity is within the preset time difference range, the target quantile corresponding to the time difference is used as the target sorting time threshold point.

[0103] The preset time difference range is a preset time range, for example, the preset time difference range is [-5,5]. For example, if capacity A has 100 waybills, the sorting time for the first 5 percentiles is the time t1 corresponding to the 5th waybill, and the specific waybill sorting time point is 12:00. The median point is the 50th waybill, and the corresponding waybill sorting time t0 is 12:30. The sorting time for the last 5 percentiles is the time t2 of the 95th waybill, and the specific waybill sorting time is 12:45. Therefore, T1 = t0-t1, which is 30 minutes, T2 = t2-t0, which is 15 minutes, and T0 = T1-T2, which is 15 minutes. Similarly, T0 of all capacities is calculated. The distribution of T0 is calculated within a range of 5 minutes. When at least a preset ratio (for example, the preset ratio may be but is not limited to 80%) of the transport capacity is within a preset credible interval (for example, [-5,5]), the 5th quantile is determined as the target quantile, i.e., the sorting time threshold. The sorting time corresponding to the first 5 quantiles is the start sorting time of the waybill of this transport capacity, and the sorting time corresponding to the last 5 quantiles is the end sorting time of the waybill of this transport capacity. Otherwise, the quantile is reselected until at least 80% of the transport capacity is within the preset credible interval.

[0104] Step 410: Determine the sorting start time and sorting end time of each transport trip according to the target sorting time threshold point.

[0105] Step 412, restore the actual unloading time of the waybill according to the sorting start time, the sorting end time and the average duration from unloading to sorting operation.

[0106] Step 414, scheduling vehicles according to the actual unloading time through the vehicle resource scheduling model.

[0107] Step 416: When it is detected that the queuing time is greater than the queuing time threshold, the site identifier of the vehicle is obtained.

[0108] Step 418, generating prompt information carrying the site identification; the prompt information is used to update the vehicle resource scheduling strategy data corresponding to the site.

[0109] In the above vehicle resource scheduling method, by acquiring the capacity data, waybill unloading operation data and waybill routing data of each transport trip, the capacity data, waybill unloading operation data and waybill routing data are associated according to the vehicle logo, site information data and waybill number of each transport trip, so as to obtain the waybill sorting time set of each transport trip, and according to the different front and rear quantiles of the sorting time of each transport trip, the time difference between the sorting time of different front and rear quantiles and the median sorting time is calculated, and the target sorting time threshold point is determined according to the time difference, and the real unloading time of each transport trip is restored according to the obtained sorting start time and sorting end time and the average time from unloading operation to sorting operation, so as to obtain the real unloading time of each transport trip, and then the unloading time and queuing time of each transport trip are determined. Based on the vehicle resource scheduling model, the vehicle resources can be effectively scheduled to improve the utilization rate of the vehicle; by detecting the queuing time, the site where the vehicle is located is monitored in real time, the vehicle resource scheduling strategy data can be updated in real time, and the site unloading efficiency can be monitored more effectively.

[0110] It should be understood that although Figure 2-4 The steps in the flowchart 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 may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0111] In one embodiment, Figure 5 As shown, a vehicle resource scheduling device is provided, comprising: an acquisition module 502, a threshold determination module 504, a time determination module 506, a real unloading time restoration module 508 and a scheduling module 510, wherein:

[0112] The acquisition module 502 is used to obtain the waybill sorting time set and the corresponding median sorting time for each transport capacity.

[0113] The threshold determination module 504 is used to obtain the waybill sorting time of different quantiles of the waybill sorting time set, and determine the target sorting time threshold point according to the waybill sorting time of different quantiles and the median sorting time.

[0114] The time determination module 506 is used to determine the sorting start time and the sorting end time of each waybill according to the target sorting time threshold point.

[0115] The real unloading time restoration module 508 is used to restore the real unloading time of the waybill according to the sorting start time, the sorting end time and the average duration from unloading to sorting operation.

[0116] The scheduling module 510 is used to schedule vehicles according to the actual unloading time through the vehicle resource scheduling model.

[0117] The above-mentioned vehicle resource scheduling device obtains the waybill sorting time of different quantiles before and after the waybill sorting time set, determines the target sorting time threshold point according to the waybill sorting time of different quantiles before and after and the median sorting time; determines the sorting start time and sorting end time of each waybill according to the target sorting time threshold point; restores the real unloading time of the waybill according to the sorting start time, the sorting end time and the average duration from unloading to sorting operation; and then completes the vehicle scheduling based on the vehicle resource scheduling model, that is, by restoring the unloading end time of the vehicle task, the time point when the vehicle completes the task can be obtained, and the vehicle resource scheduling model arranges other transportation tasks for it according to the task completion time point, thereby improving the vehicle utilization rate.

[0118] In another embodiment, Figure 6 As shown, a vehicle resource scheduling device is provided, which includes, in addition to an acquisition module 502, a threshold determination module 504, a time determination module 506, a real unloading time restoration module 508 and a scheduling module 510, an association module 512, a calculation module 514, a detection module 516 and a prompt module 518, wherein:

[0119] The acquisition module 502 is also used to acquire the transport capacity data of each transport trip, the waybill unloading operation data and the waybill routing data.

[0120] The association module 512 is used to associate the transport capacity data, the waybill unloading operation data and the waybill routing data according to the vehicle logo, site information data and waybill number of each transport capacity to obtain the waybill sorting time set of each transport capacity.

[0121] The time determination module 506 is further used to calculate the time difference between the sorting time of different front and rear quantiles and the median sorting time according to the different front and rear quantiles of the sorting time of each transport trip; when the time difference of a preset proportion in each transport trip is within the preset time difference range, the target quantile corresponding to the time difference is used as the target sorting time threshold point.

[0122] The calculation module 514 is used to calculate the first time difference according to the sorting time of different front quantiles and the median sorting time of each transport sorting time; calculate the second time difference according to the sorting time of different rear quantiles and the median sorting time of each transport sorting time; and determine the time difference according to the first time difference and the second time difference.

[0123] The time determination module 506 is further used to determine the unloading start time according to the difference between the sorting start time and the average duration from unloading to sorting operation; and determine the unloading end time according to the weighted value of the sorting end time and the average duration of the sorting operation.

[0124] The acquisition module 502 is also used to obtain the arrival time of each transport capacity.

[0125] The real unloading time restoration module 508 is also used to determine the vehicle's queuing time based on the unloading start time and the arrival time, and to determine the vehicle's unloading time based on the unloading start time and the unloading end time; and to determine the task end time of each vehicle trip based on the arrival time, the queuing time and the unloading time.

[0126] The scheduling module 510 is also used to schedule vehicles according to the transportation flow data, timeliness type and task end time of the vehicles through the vehicle resource scheduling model.

[0127] The detection module 516 is used to obtain the site identifier of the vehicle when it is detected that the queuing time is greater than the queuing time threshold.

[0128] The prompt module 518 is used to generate prompt information carrying a site identifier; the prompt information is used to update the vehicle resource scheduling strategy data corresponding to the site.

[0129] In one embodiment, by acquiring the transport capacity data, waybill unloading operation data and waybill routing data of each transport capacity, the transport capacity data, waybill unloading operation data and waybill routing data are associated according to the vehicle logo, site information data and waybill number of each transport capacity, so as to obtain the waybill sorting time set of each transport capacity, and according to the different front and rear quantiles of the sorting time of each transport capacity, the time difference between the sorting time of different front and rear quantiles and the median sorting time is calculated, and when the time difference of a preset proportion in each transport capacity is within the preset time difference range, the target quantile corresponding to the time difference is used as the target sorting time threshold point, and the sorting start time and sorting end time of each transport capacity are determined according to the target sorting time threshold point, and the sorting start time and sorting end time of each transport capacity are determined according to the target sorting time threshold point. The sorting start time, sorting end time and the average duration from unloading to sorting operation are used to restore the actual unloading time of the waybill. The vehicle is scheduled according to the actual unloading time through the vehicle resource scheduling model. When it is detected that the queue time is longer than the queue time threshold, the site identification of the vehicle is obtained, and a prompt message carrying the site identification is generated. The prompt message prompts relevant personnel to update the vehicle resource scheduling strategy data of the corresponding site; that is, based on the vehicle resource scheduling model, vehicle resources can be effectively scheduled to improve vehicle utilization; by detecting the queue time, the site where the vehicle is located is monitored in real time, the vehicle resource scheduling strategy data can be updated in real time, and the site unloading efficiency can be more effectively monitored.

[0130] The specific definition of the vehicle resource scheduling device can be found in the definition of the vehicle resource scheduling method above, which will not be repeated here. Each module in the above-mentioned vehicle resource scheduling device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0131] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 7As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for scheduling vehicle resources is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0132] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0133] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0134] Get the waybill sorting time set and the corresponding median sorting time for each transport capacity;

[0135] Obtain the waybill sorting time at different quantiles of the waybill sorting time set, and determine the target sorting time threshold point according to the waybill sorting time at different quantiles and the median sorting time;

[0136] Determine the sorting start time and sorting end time of each waybill according to the target sorting time threshold point;

[0137] Restore the actual unloading time of the waybill based on the sorting start time, sorting end time and the average time from unloading to sorting operation;

[0138] Through the vehicle resource scheduling model, vehicles are scheduled according to the actual unloading time.

[0139] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0140] Obtain the capacity data, waybill unloading operation data and waybill routing data for each trip;

[0141] According to the vehicle logo, site information data and waybill number of each transport capacity, the transport capacity data, waybill unloading operation data and waybill routing data are associated to obtain the waybill sorting time set of each transport capacity.

[0142] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0143] According to the different front and rear quantiles of the sorting time of each transport capacity, the time difference between the sorting time of different front and rear quantiles and the median sorting time is calculated;

[0144] When the preset proportion of the time difference in each transport capacity is within the preset time difference range, the target quantile corresponding to the time difference is used as the target sorting time threshold point.

[0145] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0146] The first time difference is calculated based on the sorting time of different front quantile points and the median sorting time of each transport capacity sorting time;

[0147] The second time difference is calculated based on the sorting time of different quantile points of each transport capacity sorting time and the median sorting time;

[0148] A time difference value is determined based on the first time difference value and the second time difference value.

[0149] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0150] Determine the unloading start time based on the difference between the sorting start time and the average time from unloading to sorting operation;

[0151] The unloading end time is determined according to the weighted value of the sorting end time and the average duration of the sorting operation.

[0152] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0153] Get the arrival time of each transport capacity;

[0154] The queuing time of the vehicle is determined according to the unloading start time and the arrival time, and the unloading time of the vehicle is determined according to the unloading start time and the unloading end time;

[0155] Determine the end time of each vehicle's mission based on the vehicle's arrival time, queuing time, and unloading time;

[0156] Through the vehicle resource scheduling model, vehicle scheduling is carried out according to the vehicle's transportation flow data, timeliness type and task end time.

[0157] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0158] When it is detected that the queue time is longer than the queue time threshold, the site identifier of the vehicle is obtained;

[0159] Generate prompt information carrying the site identification; the prompt information is used to update the vehicle resource scheduling strategy data of the corresponding site.

[0160] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0161] Get the waybill sorting time set and the corresponding median sorting time for each transport capacity;

[0162] Obtain the waybill sorting time at different quantiles of the waybill sorting time set, and determine the target sorting time threshold point according to the waybill sorting time at different quantiles and the median sorting time;

[0163] Determine the sorting start time and sorting end time of each waybill according to the target sorting time threshold point;

[0164] Restore the actual unloading time of the waybill based on the sorting start time, sorting end time and the average time from unloading to sorting operation;

[0165] Through the vehicle resource scheduling model, vehicles are scheduled according to the actual unloading time.

[0166] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0167] Obtain the capacity data, waybill unloading operation data and waybill routing data for each trip;

[0168] According to the vehicle logo, site information data and waybill number of each transport capacity, the transport capacity data, waybill unloading operation data and waybill routing data are associated to obtain the waybill sorting time set of each transport capacity.

[0169] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0170] According to the different front and rear quantiles of the sorting time of each transport capacity, the time difference between the sorting time of different front and rear quantiles and the median sorting time is calculated;

[0171] When the preset proportion of the time difference in each transport capacity is within the preset time difference range, the target quantile corresponding to the time difference is used as the target sorting time threshold point.

[0172] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0173] The first time difference is calculated based on the sorting time of different front quantile points and the median sorting time of each transport capacity sorting time;

[0174] The second time difference is calculated based on the sorting time of different quantile points of each transport capacity sorting time and the median sorting time;

[0175] A time difference value is determined based on the first time difference value and the second time difference value.

[0176] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0177] Determine the unloading start time based on the difference between the sorting start time and the average time from unloading to sorting operation;

[0178] The unloading end time is determined according to the weighted value of the sorting end time and the average duration of the sorting operation.

[0179] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0180] Get the arrival time of each transport capacity;

[0181] The queuing time of the vehicle is determined according to the unloading start time and the arrival time, and the unloading time of the vehicle is determined according to the unloading start time and the unloading end time;

[0182] Determine the end time of each vehicle's mission based on the vehicle's arrival time, queuing time, and unloading time;

[0183] Through the vehicle resource scheduling model, vehicle scheduling is carried out according to the vehicle's transportation flow data, timeliness type and task end time.

[0184] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0185] When it is detected that the queue time is longer than the queue time threshold, the site identifier of the vehicle is obtained;

[0186] Generate prompt information carrying the site identification; the prompt information is used to update the vehicle resource scheduling strategy data of the corresponding site.

[0187] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this 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, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0188] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0189] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for scheduling vehicle resources, characterized in that: The method comprises: Obtain the waybill sorting time set and the corresponding median sorting time for each transport capacity, wherein the median sorting time refers to the sorting time corresponding to the waybill in the middle position in each transport capacity; Obtaining the waybill sorting time of different quantiles of the waybill sorting time set, and determining the target sorting time threshold point according to the waybill sorting time of different quantiles and the median sorting time, wherein the quantile is used to represent the preset sorting time range of each transport capacity; Determine the waybill sorting start time and waybill sorting end time for each transport capacity according to the target sorting time threshold point; Restore the actual unloading time of the waybill according to the waybill sorting start time, waybill sorting end time and the average time from unloading to sorting operation; The vehicle is scheduled according to the actual unloading time through the vehicle resource scheduling model, wherein the waybill sorting time of different quantiles of the waybill sorting time set is obtained, and the target sorting time threshold point is determined according to the waybill sorting time of different quantiles and the median sorting time, including: According to the different front and rear quantiles of the sorting time of each transport capacity, the time difference between the sorting time of different front and rear quantiles and the median sorting time is calculated; When the preset proportion of the time difference in each transport capacity is within the preset time difference range, the target quantile corresponding to the time difference is used as the target sorting time threshold point.

2. The method according to claim 1, characterized in that The method of obtaining the waybill sorting time set for each transport capacity includes: Obtain capacity data for each trip, waybill unloading operation data, and waybill routing data; The transport capacity data, waybill unloading operation data and waybill routing data are associated with each transport capacity according to the vehicle logo, site information data and waybill number to obtain a waybill sorting time set for each transport capacity.

3. The method according to claim 1, characterized in that The method of calculating the time difference between the sorting time at different front and rear quantiles and the median sorting time according to the different front and rear quantiles of the sorting time of each transport capacity includes: The first time difference is calculated based on the sorting time of different front quantile points and the median sorting time of each transport capacity sorting time; The second time difference is calculated based on the sorting time of different quantile points of each transport capacity sorting time and the median sorting time; A time difference is determined according to the first time difference and the second time difference.

4. The method according to claim 1, characterized in that The method of restoring the actual unloading time of the waybill according to the waybill sorting start time, the waybill sorting end time and the average duration from unloading to sorting operation includes: Determine the unloading start time according to the difference between the waybill sorting start time and the average time from unloading to sorting operation; The unloading end time is determined according to a weighted value of the waybill sorting end time and the average duration of the sorting operation.

5. The method according to claim 4, characterized in that The vehicle resource scheduling model is used to schedule the vehicle according to the actual unloading time of the waybill, including: Get the arrival time of each transport capacity; Determine the queuing time of the vehicle according to the unloading start time and the vehicle arrival time, and determine the unloading time of the vehicle according to the unloading start time and the unloading end time; Determine the task end time of each trip of the vehicle according to the arrival time, the queuing time and the unloading time; Through the vehicle resource scheduling model, vehicle scheduling is performed according to the vehicle transportation flow data, timeliness type and the task end time.

6. The method according to claim 5, characterized in that The method further comprises: When it is detected that the queuing time is greater than the queuing time threshold, obtaining a site identifier where the vehicle is located; Prompt information carrying the site identification is generated; the prompt information is used to update the vehicle resource scheduling strategy data corresponding to the site.

7. A vehicle resource scheduling device, characterized in that: The device comprises: An acquisition module, used to acquire a set of waybill sorting times for each transport capacity and a corresponding median sorting time, wherein the median sorting time refers to the sorting time corresponding to the waybill in the middle position in each transport capacity; A threshold determination module, used for obtaining the waybill sorting time of different quantiles of the waybill sorting time set, and determining the target sorting time threshold point according to the waybill sorting time of different quantiles and the median sorting time, wherein the quantile is used to represent the preset sorting time range of each transport capacity; A time determination module, used to determine the waybill sorting start time and waybill sorting end time of each transport capacity according to the target sorting time threshold point; A real unloading time restoration module, used to restore the real unloading time of the waybill according to the waybill sorting start time, waybill sorting end time and the average time from unloading to sorting operation; A scheduling module is used to schedule vehicles according to the actual unloading time through a vehicle resource scheduling model, wherein the time determination module is also used to: According to the different front and rear quantiles of the sorting time of each transport capacity, the time difference between the sorting time of different front and rear quantiles and the median sorting time is calculated; When the preset proportion of the time difference in each transport capacity is within the preset time difference range, the target quantile corresponding to the time difference is used as the target sorting time threshold point.

8. The device according to claim 7, characterized in that The apparatus further comprises an associating module, wherein: The acquisition module is used to acquire the transport capacity data of each transport trip, the waybill unloading operation data and the waybill routing data; The association module is used to associate the transport capacity data, waybill unloading operation data and waybill routing data according to the vehicle logo, site information data and waybill number of each transport capacity to obtain the waybill sorting time set of each transport capacity.

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 6 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 6 are implemented.

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