Driver management method and system based on logistics platform and storage medium

Abstract

The application particularly relates to a driver management method and system based on a logistics platform and a storage medium, the method comprising the following steps: acquiring the number of empty containers in a port; the logistics platform adjusting the number of drivers based on the number of containers; the logistics platform acquiring the continuous working strength and the current physical state of each driver, and determining the driver and the corresponding working duration based on the continuous working strength and the current physical state; adjusting the cargo carrying route of the driver based on the working duration; monitoring the cargo carrying routes among the drivers, marking the intersection between the cargo carrying routes, and transferring the cargos at the intersection, wherein the continuous working strength and the current physical state of the drivers in the logistics platform are monitored, and the driver and the corresponding working duration are determined based on the continuous working strength and the current physical state, so as to adjust the cargo carrying route of the driver through the working duration, thereby facilitating the influence of the cargo carrying route according to the physical state of the driver as a parameter.

Description

Technical Field

[0001] This invention belongs to the field of driver management technology, specifically relating to a driver management method, system, and storage medium based on a logistics platform. Background Technology

[0002] With the development of technology, ports, as the central unloading points for cargo shipping, see goods from various places moving to ports by ships every day. At this time, ports are prone to accumulating too many containers and having many empty containers.

[0003] In this case, empty containers need to be transported by multiple drivers, and the drivers need to be managed and dispatched on the logistics platform. In the existing technology, the logistics platform dispatches drivers one by one based on sequence, without managing the drivers' continuous work intensity and current physical condition, and without selecting drivers based on the drivers' continuous work intensity and current physical condition, resulting in poor rationality in the selection of drivers by the existing logistics platform. Summary of the Invention

[0004] To address the problem of poor driver selection in existing logistics platforms, this invention provides a driver management method, system, and storage medium based on a logistics platform.

[0005] This invention is achieved using the following technical solution:

[0006] A driver management method based on a logistics platform includes:

[0007] Obtain the number of vacant containers in the port;

[0008] Logistics platforms allocate the number of drivers based on the number of containers.

[0009] The logistics platform obtains the continuous working intensity and current physical condition of each driver, and determines the driver and corresponding working hours based on the continuous working intensity and current physical condition;

[0010] Adjust the driver's cargo transportation route based on working hours;

[0011] Monitor the cargo transport routes between drivers, mark the intersections between cargo transport routes, and transfer cargo at the intersections.

[0012] Optionally, obtaining the number of vacant containers in the port includes:

[0013] Collect the number of containers at the port unloading point;

[0014] Obtain the cargo registration form for the arriving vessels;

[0015] The number of vacant containers in the port is calculated based on the number of containers at the port unloading points and the cargo registration forms.

[0016] Optionally, the logistics platform allocates the number of drivers based on the number of containers, including:

[0017] Load the container quantity into the pending quantity on the logistics platform;

[0018] The number of pending tasks on the logistics platform is input into the driver configuration learning module for calculation, and the number of drivers is output. The driver configuration learning module is trained using previous pending task data.

[0019] The driver role selection operation is triggered based on the number of drivers.

[0020] Optionally, the logistics platform acquires the continuous working intensity and current physical condition of each driver, and determines the driver and corresponding working hours based on the continuous working intensity and current physical condition, including:

[0021] The logistics platform obtains information on each driver's continuous work intensity and current physical condition;

[0022] The fatigue level of each driver is output based on the interaction between continuous work intensity and current physical condition.

[0023] The range of drivers to be screened is adjusted based on the fatigue level of each driver, and the range of drivers to be prepared is determined.

[0024] The working hours of drivers within the driver preparation range are determined, based on continuous work intensity and current physical condition.

[0025] Optionally, adjusting the driver's cargo transport route based on working hours includes:

[0026] Obtain work hours;

[0027] Adjust the driver's cargo transportation route based on working hours;

[0028] The appropriate cargo transportation route is matched based on the driver's level of fatigue.

[0029] Optionally, the monitoring of cargo transport routes between drivers, marking the intersections between cargo transport routes, and transferring cargo at the intersections includes:

[0030] Monitor the cargo transport routes between drivers;

[0031] Each cargo transport route is marked on the map, and the cargo transport routes intersect;

[0032] Mark the intersections between various cargo transport routes and transfer cargo at the intersections;

[0033] The processing logic for clustered material tasks on the shipper's side is optimized based on route optimization logic.

[0034] Optionally, the driver management method based on the logistics platform further includes:

[0035] Calculate the empty load rate of two goods at the intersection;

[0036] If the sum of the empty load rates of the two goods meets the preset requirements, the two goods will be transferred to the same truck driven by the same driver, and the driver's cargo transport route will be changed. The cargo transport route contains multiple unloading points.

[0037] Optionally, the driver management method based on the logistics platform further includes:

[0038] Real-time monitoring of the driver's physical condition;

[0039] If the driver's physical condition becomes abnormal, the truck's remote control will be triggered;

[0040] The driver's physical condition is identified, and the corresponding condition result is output.

[0041] The stopping time of trucks is controlled based on the status results.

[0042] The present invention also includes a driver management system based on a logistics platform, wherein the driver management system based on the logistics platform adopts the above-described driver management method based on a logistics platform; the driver management system based on the logistics platform includes:

[0043] The acquisition module is used to obtain the number of vacant containers in the port;

[0044] The dispatch module is used by the logistics platform to allocate the number of drivers based on the number of containers.

[0045] The duration module is used by the logistics platform to obtain the continuous working intensity and current physical condition of each driver, and to determine the driver and corresponding working duration based on the continuous working intensity and current physical condition.

[0046] The route module is used to adjust the driver's cargo transport route based on working hours;

[0047] The monitoring module is used to monitor the cargo transport routes between drivers, mark the intersections between cargo transport routes, and transfer cargo at the intersections.

[0048] The present invention also includes a storage medium storing a computer program that, when loaded and executed by a processor, implements the steps of the driver management method based on the logistics platform.

[0049] The technical solution provided by this invention has the following beneficial effects:

[0050] The technical solution provided by this invention involves: obtaining the number of vacant containers in a port; a logistics platform allocating the number of drivers based on the number of containers; the logistics platform obtaining the continuous work intensity and current physical condition of each driver, and determining the driver and corresponding working hours based on the continuous work intensity and current physical condition; adjusting the driver's cargo transportation route based on the working hours; monitoring the cargo transportation routes between drivers, marking the intersections between the cargo transportation routes, and transferring goods at the intersections. Specifically, the continuous work intensity and current physical condition of drivers within the logistics platform are monitored, and the driver and corresponding working hours are determined based on the continuous work intensity and current physical condition, so as to adjust the driver's cargo transportation route based on the working hours. This facilitates influencing the cargo transportation route based on the driver's physical condition as a parameter, thereby facilitating the selection of suitable drivers and corresponding cargo transportation routes. Furthermore, the cargo transportation routes between drivers are monitored, and the intersections between the cargo transportation routes are marked, and goods are transferred at the intersections. Attached Figure Description

[0051] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0052] Figure 1 This is a flowchart illustrating the driver management method based on a logistics platform in an embodiment of the present invention.

[0053] Figure 2 This is a schematic diagram of the driver selection process in the driver management method based on a logistics platform according to an embodiment of the present invention.

[0054] Figure 3 This is a flowchart illustrating the working time of the driver management method based on a logistics platform in an embodiment of the present invention.

[0055] Figure 4 This is a schematic diagram of the cargo transportation route in the driver management method based on the logistics platform according to an embodiment of the present invention.

[0056] Figure 5 This is a schematic diagram of the cargo transfer process at the intersection of the driver management method based on the logistics platform in this embodiment of the invention.

[0057] Figure 6 This is a system block diagram of a driver management system based on a logistics platform according to an embodiment of the present invention. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0059] Specifically, the embodiments of this application will be further described below with reference to the accompanying drawings.

[0060] like Figures 1 to 5 As shown, one embodiment of the present invention provides a driver management method based on a logistics platform, the method comprising the following steps:

[0061] S1: Get the number of empty containers in the port.

[0062] S2: The logistics platform allocates the number of drivers based on the number of containers.

[0063] S3: The logistics platform obtains the continuous working intensity and current physical condition of each driver, and determines the driver and corresponding working hours based on the continuous working intensity and current physical condition.

[0064] S4: Adjust the driver's cargo transportation route based on working hours.

[0065] S5: Monitor the cargo transport routes between drivers, mark the intersections between cargo transport routes, and transfer cargo at the intersections.

[0066] In this embodiment, the technical solution provided by the present invention obtains the number of vacant containers in the port; the logistics platform allocates the number of drivers based on the number of containers; the logistics platform obtains the continuous working intensity and current physical condition of each driver, and determines the driver and corresponding working hours based on the continuous working intensity and current physical condition; the cargo transportation routes of the drivers are adjusted based on the working hours; the cargo transportation routes between each driver are monitored, and the intersections between each cargo transportation route are marked, and cargo transfer is carried out at the intersections. Specifically, the continuous working intensity and current physical condition of the drivers within the logistics platform are monitored, and the drivers and corresponding working hours are determined based on the continuous working intensity and current physical condition, so as to adjust the drivers' cargo transportation routes through the working hours. This facilitates the use of the driver's physical condition as a parameter to influence the cargo transportation routes, thereby facilitating the selection of suitable drivers and corresponding cargo transportation routes. Furthermore, the cargo transportation routes between each driver are monitored, and the intersections between each cargo transportation route are marked, and cargo transfer is carried out at the intersections.

[0067] Specifically, S1: Obtain the number of vacant containers in the port;

[0068] In the specific implementation of this invention, the specific steps can be as follows:

[0069] Collect the number of containers at the port unloading points; obtain the cargo registration forms for arriving ships; and calculate the number of vacant containers in the port based on the number of containers at the port unloading points and the cargo registration forms.

[0070] This involves collecting the number of containers at port unloading points and dividing the container numbers into stages to facilitate timely response to container processing and obtaining cargo registration forms for arriving vessels; based on the number of containers at port unloading points and cargo registration forms, counting the number of vacant containers in the port, and triggering container transportation through the statistics of the number of vacant containers in the port to trigger drivers to transport goods.

[0071] S2: The logistics platform allocates the number of drivers based on the number of containers;

[0072] In the specific implementation of this invention, the specific steps can be as follows:

[0073] S21: The number of containers to be loaded into the logistics platform for processing;

[0074] S22: Input the number of pending tasks from the logistics platform into the driver configuration learning module for calculation, and output the number of drivers. The driver configuration learning module is trained using previous pending task data.

[0075] S23: Trigger driver role selection operation based on the number of drivers;

[0076] The system inputs the number of pending tasks from the logistics platform into the driver configuration learning module for calculation and outputs the number of drivers. The driver configuration learning module is trained using previous pending task data, triggers the driver role selection operation based on the number of drivers, and controls the overall number of drivers to facilitate the reasonable allocation of appropriate drivers.

[0077] S3: The logistics platform obtains the continuous working intensity and current physical condition of each driver, and determines the driver and corresponding working hours based on the continuous working intensity and current physical condition;

[0078] In the specific implementation of this invention, the specific steps can be as follows:

[0079] S31: The logistics platform obtains the continuous working intensity and current physical condition of each driver;

[0080] S32: Based on the interaction between continuous work intensity and current physical condition, output the fatigue level of each driver;

[0081] S33: Adjust the range of driver selection based on the fatigue level of each driver, and define the driver preparation range;

[0082] S34: Determine the working hours of drivers within the driver preparation range, wherein the driver and corresponding working hours are determined based on continuous work intensity and current physical condition.

[0083] The system outputs the fatigue level of each driver based on the interaction between continuous work intensity and current physical condition, so as to monitor the fatigue level of each driver. It also adjusts the driver selection range based on the fatigue level of each driver and locates the driver preparation range. At this time, the driver selection needs to rotate within the driver preparation range, and the working hours of the drivers within the driver preparation range are determined. The driver and corresponding working hours are determined based on continuous work intensity and current physical condition to ensure that the driver can carry out cargo transportation operations under appropriate physical endurance.

[0084] S4: Adjust the driver's cargo transportation route based on working hours;

[0085] In the specific implementation of this invention, the specific steps can be as follows:

[0086] S41: Obtain work duration;

[0087] S42: Adjust the driver's cargo transportation route based on working hours;

[0088] S43: Match the corresponding cargo transportation route based on the driver's fatigue level.

[0089] Among these measures, the driver's cargo transportation route is adjusted based on working hours, and the selection of cargo transportation routes ensures that each driver has a reasonable transportation route. In addition, the corresponding cargo transportation route is matched based on the driver's fatigue level, ensuring that the driver can carry out cargo transportation operations in a reasonable physical condition.

[0090] S5: Monitor the cargo transport routes between drivers, mark the intersections between cargo transport routes, and transfer cargo at the intersections;

[0091] In the specific implementation of this invention, the specific steps can be as follows:

[0092] S51: Monitor the cargo transport routes between drivers;

[0093] S52: Each cargo transport route is marked on the map, and the cargo transport routes intersect;

[0094] S53: Mark the intersection between various cargo transport routes and transfer cargo at the intersection;

[0095] S54: Calculate the empty load rate of two goods based on the intersection;

[0096] S55: If the sum of the empty load rates of the two goods meets the preset requirements, the two goods will be transferred to the same truck driven by the same driver, and the driver's cargo transportation route will be changed, wherein the cargo transportation route contains multiple unloading points.

[0097] Furthermore, the driver management method based on the logistics platform also includes: real-time monitoring of the driver's physical condition; if the driver's physical condition is abnormal, triggering remote control of the truck; identifying the driver's physical condition and outputting the corresponding status result; and controlling the truck's stopping time based on the status result.

[0098] The technical solution provided by this invention involves: obtaining the number of vacant containers in a port; a logistics platform allocating the number of drivers based on the number of containers; the logistics platform obtaining the continuous work intensity and current physical condition of each driver, and determining the driver and corresponding working hours based on the continuous work intensity and current physical condition; adjusting the driver's cargo transportation route based on the working hours; monitoring the cargo transportation routes between drivers, marking the intersections between the cargo transportation routes, and transferring goods at the intersections. Specifically, the continuous work intensity and current physical condition of drivers within the logistics platform are monitored, and the driver and corresponding working hours are determined based on the continuous work intensity and current physical condition, so as to adjust the driver's cargo transportation route based on the working hours. This facilitates influencing the cargo transportation route based on the driver's physical condition as a parameter, thereby facilitating the selection of suitable drivers and corresponding cargo transportation routes. Furthermore, the cargo transportation routes between drivers are monitored, and the intersections between the cargo transportation routes are marked, and goods are transferred at the intersections.

[0099] In one embodiment of the present invention, a driver management system based on a logistics platform is also disclosed, wherein the driver management system based on the logistics platform adopts the above-described driver management method based on the logistics platform; the driver management system based on the logistics platform includes an acquisition module 101, a dispatch module 102, a duration module 103, a route module 104, and a monitoring module 105.

[0100] The acquisition module 101 is used to acquire the number of empty containers in the port;

[0101] Dispatch module 102 is used by the logistics platform to dispatch the number of drivers based on the number of containers;

[0102] The duration module 103 is used by the logistics platform to obtain the continuous working intensity and current physical condition of each driver, and to determine the driver and corresponding working time based on the continuous working intensity and current physical condition.

[0103] Route module 104 is used to adjust the driver's cargo transport route based on working hours;

[0104] The monitoring module 105 is used to monitor the cargo transportation routes between drivers, mark the intersections between the cargo transportation routes, and transfer cargo at the intersections.

[0105] In one embodiment of the present invention, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0106] In one embodiment of the present invention, a storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements the steps in the above-described method embodiments.

[0107] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Furthermore, any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory.

[0108] In summary, the technical solution provided by this invention can monitor the continuous work intensity and current physical condition of drivers within a logistics platform, and determine the driver and corresponding working hours based on the continuous work intensity and current physical condition. This allows for the adjustment of the driver's cargo transportation route based on the working hours, thereby facilitating the selection of suitable drivers and corresponding cargo transportation routes by using the driver's physical condition as a parameter. Furthermore, it monitors the cargo transportation routes between drivers, marks the intersections between cargo transportation routes, and performs cargo transfer at the intersections.

[0109] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A driver management method based on a logistics platform, comprising: Obtain the number of vacant containers in the port; The logistics platform allocates the number of drivers based on the number of containers, including: loading the number of containers into the pending quantity of the logistics platform; inputting the pending quantity of the logistics platform into the driver configuration learning module for calculation and outputting the number of drivers, wherein the driver configuration learning module is trained using previous pending quantity data; and triggering the driver role selection operation based on the number of drivers. The logistics platform acquires the continuous work intensity and current physical condition of each driver, and determines the drivers and corresponding working hours based on the continuous work intensity and current physical condition. This includes: the logistics platform acquiring the continuous work intensity and current physical condition of each driver; performing interactive calculations based on the continuous work intensity and current physical condition to output the fatigue level of each driver; adjusting the driver selection range based on the fatigue level of each driver and locating the driver preparation range; and determining the working hours of drivers within the driver preparation range, wherein the determination of drivers and corresponding working hours is based on the continuous work intensity and current physical condition. Adjust the driver's cargo transportation route based on working hours; Monitor the cargo transport routes between drivers, mark the intersections between cargo transport routes, and transfer cargo at the intersections.

2. The driver management method based on a logistics platform as described in claim 1, characterized in that: The method of obtaining the number of vacant containers in the port includes: Collect the number of containers at the port unloading point; Obtain the cargo registration form for the arriving vessels; The number of vacant containers in the port is calculated based on the number of containers at the port unloading points and the cargo registration forms.

3. The driver management method based on a logistics platform as described in claim 2, characterized in that: The adjustment of the driver's cargo transportation route based on working hours includes: Obtain work hours; Adjust the driver's cargo transportation route based on working hours; The appropriate cargo transportation route is matched based on the driver's level of fatigue.

4. The driver management method based on a logistics platform as described in claim 3, characterized in that: The monitoring of cargo transport routes between drivers, marking the intersections between these routes, and transferring cargo at these intersections includes: Monitor the cargo transport routes between drivers; Each cargo transport route is marked on the map, and the cargo transport routes intersect; Mark the intersections between various cargo transport routes and transfer cargo at the intersections.

5. The driver management method based on a logistics platform as described in claim 4, characterized in that: The driver management method based on the logistics platform also includes: Calculate the empty load rate of two goods at the intersection; If the sum of the empty load rates of the two goods meets the preset requirements, the two goods will be transferred to the same truck driven by the same driver, and the driver's cargo transport route will be changed. The cargo transport route contains multiple unloading points.

6. The driver management method based on a logistics platform as described in claim 5, characterized in that: The driver management method based on the logistics platform also includes: Real-time monitoring of the driver's physical condition; If the driver's physical condition becomes abnormal, the truck's remote control will be triggered; The driver's physical condition is identified, and the corresponding condition result is output. The stopping time of trucks is controlled based on the status results.

7. A driver management system based on a logistics platform, characterized in that: The driver management system based on the logistics platform adopts the driver management method based on the logistics platform as described in any one of claims 1-6; The driver management system based on the logistics platform includes: The acquisition module is used to obtain the number of vacant containers in the port; The dispatch module is used by the logistics platform to allocate the number of drivers based on the number of containers. The duration module is used by the logistics platform to obtain the continuous working intensity and current physical condition of each driver, and to determine the driver and corresponding working duration based on the continuous working intensity and current physical condition. The route module is used to adjust the driver's cargo transport route based on working hours; The monitoring module is used to monitor the cargo transport routes between drivers, mark the intersections between cargo transport routes, and transfer cargo at the intersections.

8. A storage medium storing a computer program, characterized in that, When the computer program is loaded and executed by the processor, it implements the steps of the method according to any one of claims 1 to 6.

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