Online scheduling management system and method for automobile transportation

Abstract

The invention discloses an on-line scheduling management system and method for automobile transportation, and belongs to the technical field of vehicle scheduling. The system comprises a basic data acquisition module and an information automatic processing module; according to the system and the method, the basic data acquisition module is arranged in the system, the related multi-dimensional information can be acquired, the multi-dimensional information can provide multi-angle reference information for the generation of a subsequent scheduling scheme, so that the scientificity of the scheduling scheme is improved, and meanwhile, the generated scheduling scheme is subjected to analog simulation; according to the method, the generated scheme can be verified, the accuracy of the scheduling scheme is improved, and the conditions for generating the scheduling scheme comprise consignment cost, consignment time, consignment order nearby dispatching and consignment order matching with a consignment driver, so that the consignment efficiency can be effectively improved, and the scheduling efficiency is improved. And some important consignment orders can be executed by assigning drivers with excellent working states, so that the consignment drivers can continuously improve the working states, and the practical application effect of the whole method is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of vehicle scheduling, and particularly relates to an online scheduling management system and method for vehicle transportation. Background Art

[0002] Vehicle transportation is a specialized logistics service, which refers to the process of safely and efficiently transporting goods or products from one city to another in professional transportation vehicles. This service is usually used in scenarios such as long-distance transportation, out-of-town car purchases, vehicle relocations, exhibition transportation, etc., and is provided by professional vehicle transportation companies. When carrying out vehicle transportation, an online scheduling management system for vehicle transportation is required to schedule and manage vehicle transportation.

[0003] Chinese Patent (CN213690711U) discloses a transportation scheduling management system, which includes a transportation scheduling management server and a consignment client, a scheduling client, and a transportation client that communicate with the transportation scheduling management server, realizing the real-time interconnection of order data between logistics enterprises and car owners and drivers. An enterprise can complete the entire process through the consignment client with only one person, avoiding the repeated verification and confirmation of order information among multiple roles, and effectively saving labor costs. Although the current vehicle transportation scheduling management system can also achieve the scheduling of vehicle transportation, it does not collect multi-dimensional information, resulting in the inability to generate a plan based on multi-dimensional information during subsequent scheduling, thus leading to a decline in the scientific nature of the scheduling plan. At the same time, the generated plan is not simulated, and the accuracy of the scheduling plan cannot be guaranteed, resulting in poor actual application effects. To solve this problem, there is an urgent need for an online scheduling management system and method for vehicle transportation. Summary of the Invention

[0004] The purpose of the present invention is to propose an online scheduling management system and method for vehicle transportation to solve the problems of the current vehicle transportation scheduling management system. Although it can also achieve the scheduling of vehicle transportation, it does not collect multi-dimensional information, resulting in the inability to generate a plan based on multi-dimensional information during subsequent scheduling, thus leading to a decline in the scientific nature of the scheduling plan. At the same time, the generated plan is not simulated, and the accuracy of the scheduling plan cannot be guaranteed, resulting in poor actual application effects.

[0005] To achieve the above object, the present invention adopts the following technical solutions: An online scheduling management system for vehicle transportation includes a basic data acquisition module and an information automatic processing module. The output end of the basic data acquisition module is connected to the input end of the information automatic processing module. The basic data acquisition module is used to acquire relevant basic information for transportation. The output end of the information automatic processing module is connected to the input end of the traffic data acquisition module. The traffic data acquisition module is used to acquire relevant traffic information on the transportation route. The output end of the traffic data acquisition module is connected to the input end of the vehicle transportation information acquisition module. The vehicle transportation information acquisition module is used to acquire information of the transportation vehicle. The output end of the vehicle transportation information acquisition module is connected to the input end of the data automatic integration module.

[0006] As a further description of the above technical solution:

[0007] The output end of the data automatic integration module is connected to the input end of the scheduling scheme generation module. The output end of the scheduling scheme generation module is connected to the input end of the automatic simulation module. The output end of the automatic simulation module is connected to the input of the data feedback module.

[0008] An online scheduling management method for vehicle transportation includes the following steps:

[0009] S1. Acquire basic data;

[0010] S2. Automatically process information;

[0011] S3. Acquire traffic data;

[0012] S4. Acquire information of the transportation vehicle;

[0013] S5. Integrate data;

[0014] S6. Generate multiple scheduling schemes;

[0015] S7. Simulate the schemes;

[0016] S8. Conduct data feedback.

[0017] As a further description of the above technical solution:

[0018] In step S1, when acquiring basic data, the acquired basic data includes: relevant information of the transportation order, relevant information of the transportation route, time information of the transportation time, personal information of the transportation driver, work information of the transportation driver, and attendance information of the transportation driver.

[0019] As a further description of the above technical solution:

[0020] In S2, automatic information processing is performed. The specific steps are as follows: centralize the information, screen the information one by one, mark the abnormal information, replace the abnormal information, and reclassify the information.

[0021] As a further description of the above technical solution:

[0022] In S3, traffic data is obtained. The obtained traffic data includes road condition information on the transportation route, restriction information on the transportation route, traffic control information on the transportation route, and information on frequently occurring accident sections on the transportation route.

[0023] As a further description of the above technical solution:

[0024] In S4, vehicle data for consignment is obtained. The obtained vehicle data includes the brand of the consignment vehicle, the age of the consignment vehicle, the status of the consignment vehicle, the insurance information of the consignment vehicle, the location information of the consignment vehicle, and the parameter information of the consignment vehicle.

[0025] As a further description of the above technical solution:

[0026] In S6, 3 - 5 dispatching plans are generated for each consignment order. The conditions to be referred to for generating the dispatching plans include: consignment cost, consignment time, nearest order assignment for the consignment order, and adaptation between the consignment order and the consignment driver.

[0027] As a further description of the above technical solution:

[0028] In S7, simulation of the plan is carried out. After the simulation, the results are evaluated. The evaluation results are divided into three grades, namely excellent, good, and poor. When the evaluation result is poor, the generation of the dispatching plan is redone.

[0029] As a further description of the above technical solution:

[0030] In S8, data feedback is carried out. The feedback data information is transmitted into the mobile device of the consignment driver. The mobile device is one of a mobile phone and a laptop computer.

[0031] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0032] In the present invention, by providing a basic data acquisition module inside, it is possible to acquire relevant multi-dimensional information. These multi-dimensional information can provide reference information from multiple angles for the subsequent generation of scheduling plans, thereby improving the scientific nature of the scheduling plans. At the same time, by simulating and emulating the generated scheduling plans, it is possible to verify the generated plans and improve the accuracy of the scheduling plans. The conditions for generating the scheduling plans include shipping costs, shipping times, nearest order assignment for shipping orders, and the matching of shipping orders with shipping drivers. The above-mentioned limiting conditions can effectively improve the shipping efficiency, and some important shipping orders can be assigned to drivers with excellent work status, which is conducive to continuously improving the work status of shipping drivers and enhancing the actual application effect of the overall method. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of the module structure of an online scheduling management system for vehicle transportation.

[0034] Figure 2 It is a flowchart of an online scheduling management method for vehicle transportation. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0036] Embodiment 1

[0037] Please refer to Figure 1 , the present invention provides a technical solution: an online scheduling management system for vehicle transportation, including a basic data acquisition module and an information automatic processing module. The output end of the basic data acquisition module is connected to the input end of the information automatic processing module. The basic data acquisition module is used for acquiring relevant basic shipping information. The output end of the information automatic processing module is connected to the input end of the traffic data acquisition module. The traffic data acquisition module is used for acquiring relevant traffic information on the transportation route. The output end of the traffic data acquisition module is connected to the input end of the shipping vehicle data acquisition module. The shipping vehicle data acquisition module is used for acquiring shipping vehicle information. The output end of the shipping vehicle data acquisition module is connected to the input end of the data automatic integration module. The output end of the data automatic integration module is connected to the input end of the scheduling plan generation module. The output end of the scheduling plan generation module is connected to the input end of the automatic simulation and emulation module. The output end of the automatic simulation and emulation module is connected to the input of the data feedback module.

[0038] Please refer toFigure 2 , the present invention also discloses an online scheduling management method for vehicle transportation, including the following steps:

[0039] S1. Obtain basic data, where the obtained basic data includes: relevant information of the consignment order, relevant information of the consignment route, time information of the consignment time, personal information of the consignment driver, work information of the consignment driver, and attendance information of the consignment driver;

[0040] S2. Perform automatic processing of the information, and the specific steps are: centralize the information, screen the information one by one, mark the abnormal information, perform replacement of the abnormal information, and reclassify the information;

[0041] S3. Obtain traffic data, and the obtained traffic data includes road condition information on the transportation route, restriction information on the transportation route, traffic control information on the transportation route, and information on frequently occurring accident sections on the transportation route;

[0042] S4. Obtain vehicle data for consignment, and the obtained vehicle data includes the brand of the consignment vehicle, the age of the consignment vehicle, the status of the consignment vehicle, insurance information of the consignment vehicle, location information of the consignment vehicle, and parameter information of the consignment vehicle;

[0043] S5. Integrate the data;

[0044] S6. Generate 5 scheduling plans for each consignment order, and the conditions that need to be referred to for the generated scheduling plans include: consignment cost, consignment time, nearest order assignment for the consignment order, and adaptation between the consignment order and the consignment driver;

[0045] S7. Conduct simulation of the plan, evaluate the result after the simulation, and the evaluation results are divided into three levels, namely excellent, good, and poor. When the evaluation result is poor, the generation of the scheduling plan is redone;

[0046] S8. Conduct data feedback, and the transmitted data information is sent into the mobile device of the consignment driver, and the mobile device is a laptop.

[0047] In this embodiment, by setting a basic data acquisition module inside, relevant multi-dimensional information can be obtained, and these multi-dimensional information can provide reference information from multiple angles for the subsequent generation of the scheduling plan, thereby improving the scientific nature of the scheduling plan. At the same time, by conducting simulation of the generated scheduling plan, the generated plan can be verified, and the accuracy of the scheduling plan can be improved.

[0048] Embodiment 2

[0049] Please refer to Figure 1, the present invention provides a technical solution: an online scheduling management system for vehicle transportation, including a basic data acquisition module and an information automatic processing module. The output end of the basic data acquisition module is connected to the input end of the information automatic processing module. The basic data acquisition module is used for acquiring relevant basic information for transportation. The output end of the information automatic processing module is connected to the input end of the traffic data acquisition module. The traffic data acquisition module is used for acquiring relevant traffic information on the transportation route. The output end of the traffic data acquisition module is connected to the input end of the vehicle information acquisition module for transportation. The vehicle information acquisition module for transportation is used for acquiring vehicle information for transportation. The output end of the vehicle information acquisition module for transportation is connected to the input end of the data automatic integration module. The output end of the data automatic integration module is connected to the input end of the scheduling plan generation module. The output end of the scheduling plan generation module is connected to the input end of the automatic simulation module. The output end of the automatic simulation module is connected to the input of the data feedback module.

[0050] Please refer to Figure 2 , the present invention also discloses an online scheduling management method for vehicle transportation, including the following steps:

[0051] S1. Obtain basic data, where the obtained basic data includes: relevant information of the transportation order, relevant information of the transportation route, time information of the transportation time, personal information of the transportation driver, work information of the transportation driver, and attendance information of the transportation driver;

[0052] S2. Perform automatic processing of information. The specific steps are: centralize the information, screen the information one by one, mark the abnormal information, replace the abnormal information, and reclassify the information;

[0053] S3. Obtain traffic data, and the obtained traffic data includes road conditions information on the transportation route, restriction information on the transportation route, traffic control information on the transportation route, and information on frequently occurring accident sections on the transportation route;

[0054] S4. Obtain vehicle information for transportation, and the obtained vehicle information includes the brand of the vehicle for transportation, the age of the vehicle for transportation, the status of the vehicle for transportation, insurance information of the vehicle for transportation, location information of the vehicle for transportation, and parameter information of the vehicle for transportation;

[0055] S5. Perform data integration;

[0056] S6. Generate 3 scheduling plans for each transportation order. The conditions that the generated scheduling plans need to refer to include: transportation cost, transportation time, nearest order assignment for the transportation order, and matching between the transportation order and the transportation driver;

[0057] S7. Conduct simulation of the solution. After the simulation, evaluate the results. The evaluation results are divided into three grades: excellent, good, and poor. When the evaluation result is poor, generate a scheduling solution again.

[0058] S8. Conduct data feedback. The feedback data information is transmitted to the mobile device of the consignment driver. The mobile device is a mobile phone.

[0059] In this embodiment, the conditions for generating a scheduling solution include consignment cost, consignment time, nearest order assignment for consignment orders, and the matching between consignment orders and consignment drivers. The above limiting conditions can effectively improve the consignment efficiency, and some important consignment orders can be assigned to drivers with excellent working status, which is conducive to the consignment drivers continuously improving their working status and improving the actual application effect of the overall method.

[0060] Embodiment 3

[0061] Please refer to Figure 1 , the present invention provides a technical solution: an online scheduling management system for vehicle consignment, including a basic data acquisition module and an information automatic processing module. The output end of the basic data acquisition module is connected to the input end of the information automatic processing module. The basic data acquisition module is used for acquiring relevant basic consignment information. The output end of the information automatic processing module is connected to the input end of the traffic data acquisition module. The traffic data acquisition module is used for acquiring relevant traffic information on the transportation route. The output end of the traffic data acquisition module is connected to the input end of the consignment vehicle data acquisition module. The consignment vehicle data acquisition module is used for acquiring consignment vehicle information. The output end of the consignment vehicle data acquisition module is connected to the input end of the data automatic integration module. The output end of the data automatic integration module is connected to the input end of the scheduling solution generation module. The output end of the scheduling solution generation module is connected to the input end of the automatic simulation module. The output end of the automatic simulation module is connected to the input of the data feedback module.

[0062] Please refer to Figure 2 , the present invention also discloses an online scheduling management method for vehicle consignment, including the following steps:

[0063] S1. Acquire basic data, where the acquired basic data is: relevant information of the consignment order, relevant information of the consignment route, time information of the consignment time, personal information of the consignment driver, work information of the consignment driver, and attendance information of the consignment driver.

[0064] S2. Conduct automatic processing of the information. The specific steps are: centralize the information, screen the information one by one, mark the abnormal information, replace the abnormal information, and reclassify the information.

[0065] S3. Obtain traffic information, including road conditions on the transportation route, restriction information on the transportation route, traffic control information on the transportation route, and information on frequently accident-prone sections of the transportation route;

[0066] S4. Obtain vehicle information for the consigned vehicle, including the brand of the consigned vehicle, the age of the consigned vehicle, the status of the consigned vehicle, the insurance information of the consigned vehicle, the location information of the consigned vehicle, and the parameter information of the consigned vehicle;

[0067] S5. Integrate the information;

[0068] S6. Generate 4 dispatching plans for each consignment order. The conditions to be referred to in the generated dispatching plans include: consignment cost, consignment time, nearest order assignment for the consignment order, and matching between the consignment order and the consignment driver;

[0069] S7. Conduct simulation of the plan. After the simulation, evaluate the results. The evaluation results are divided into three levels: excellent, good, and poor. When the evaluation result is poor, generate a new dispatching plan;

[0070] S8. Conduct data feedback. The transmitted data information is sent to the mobile device of the consignment driver, and the mobile device is a laptop.

[0071] In this embodiment, by setting up a basic data acquisition module inside, it is possible to obtain relevant multi-dimensional information. These multi-dimensional information can provide multi-angle reference information for the subsequent generation of dispatching plans, thereby improving the scientific nature of the dispatching plans. At the same time, conducting simulation of the generated dispatching plans can verify the generated plans and improve the accuracy of the dispatching plans. The conditions for generating the dispatching plans include consignment cost, consignment time, nearest order assignment for the consignment order, and matching between the consignment order and the consignment driver. The above limiting conditions can effectively improve the consignment efficiency, and some important consignment orders can be assigned to drivers with excellent working status, which is conducive to the consignment drivers continuously improving their working status and improving the actual application effect of the overall method.

[0072] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes, should be covered by the protection scope of the present invention.

Claims

1. An online scheduling management system for vehicle transportation, comprising a basic data acquisition module and an information automatic processing module, characterized in that: The output end of the basic data acquisition module is connected to the input end of the information automatic processing module. The basic data acquisition module is used for acquiring relevant consignment basic information. The output end of the information automatic processing module is connected to the input end of the traffic data acquisition module. The traffic data acquisition module is used for acquiring relevant traffic information on the transportation route. The output end of the traffic data acquisition module is connected to the input end of the consignment vehicle data acquisition module. The consignment vehicle data acquisition module is used for acquiring consignment vehicle information. The output end of the consignment vehicle data acquisition module is connected to the input end of the data automatic integration module.

2. The online dispatching management system and method for vehicle transportation according to claim 1, wherein The output end of the data automatic integration module is connected to the input end of the scheduling plan generation module. The output end of the scheduling plan generation module is connected to the input end of the automatic simulation module. The output end of the automatic simulation module is connected to the input of the data feedback module.

3. An online scheduling management method for vehicle transportation, characterized in that, It includes the following steps: S1. Acquire basic data; S2. Conduct automatic information processing; S3. Acquire traffic data; S4. Acquire consignment vehicle data; S5. Conduct data integration; S6. Generate multiple scheduling plans; S7. Conduct simulation of the plans; S8. Conduct data feedback.

4. The online scheduling management method for automobile transportation according to claim 3, characterized in that, In S1, when acquiring basic data, the acquired basic data includes: relevant information of the consignment order, relevant information of the consignment route, consignment time information, personal information of the consignment driver, work information of the consignment driver, and attendance information of the consignment driver.

5. The online dispatching management method for automobile transportation according to claim 3, characterized in that In S2, when conducting automatic information processing, the specific steps are: centralize the information, screen the information one by one, mark the abnormal information, replace the abnormal information, and reclassify the information.

6. The online scheduling management method for vehicle transportation according to claim 3, characterized in that In S3, when acquiring traffic data, the acquired traffic data includes road condition information on the transportation route, restriction information on the transportation route, traffic control information on the transportation route, and information on frequently occurring accident sections of the transportation route.

7. An online dispatching management method for automobile transportation according to claim 3, characterized in that, In S4, when acquiring consignment vehicle data, the acquired vehicle data includes the brand of the consignment vehicle, the age of the consignment vehicle, the status of the consignment vehicle, insurance information of the consignment vehicle, location information of the consignment vehicle, and parameter information of the consignment vehicle.

8. The online scheduling management method for vehicle transportation according to claim 3, wherein, In S6, for each consignment order, 3 - 5 scheduling plans are generated. The conditions to be referred to when generating the scheduling plans include: consignment cost, consignment time, nearest order assignment for the consignment order, and the suitability between the consignment order and the consignment driver.

9. The online scheduling management method for automobile transportation according to claim 3, characterized in that In S7, when conducting simulation of the plans, the results are evaluated after the simulation. The evaluation results are divided into three grades, namely excellent, good, and poor. When the evaluation result is poor, the generation of the scheduling plan is redone.

10. The online scheduling management method for vehicle transportation according to claim 3, characterized in that, In S8, when conducting data feedback, the feedback data information is transmitted into the mobile device of the consignment driver. The mobile device is one of a mobile phone and a laptop computer.

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