Transportation scheduling system and method adaptive to intelligent supply chain

Abstract

The invention discloses a transport scheduling system and method adaptive to an intelligent supply chain, relates to the technical field of transport scheduling, solves the technical problem that in the prior art, transport vehicle route analysis and real-time state monitoring cannot be carried out according to a real-time supply chain, and particularly relates to real-time monitoring of a real-time transport vehicle of the supply chain and real-time state monitoring of the real-time transport vehicle of the supply chain. Whether the transport state of the transport vehicle is normal is deduced through real-time monitoring of the transport vehicle, so that whether the transport vehicle in the current supply chain needs to be scheduled is deduced, the supply chain is interrupted due to the abnormal state of the transport vehicle, meanwhile, real-time scheduling cannot be performed according to the state of the transport vehicle, and the scheduling efficiency of the supply chain is reduced; the transport vehicles of the supply chain are intelligently dispatched, and the dispatching terminals are matched with the terminals needing to be dispatched, so that the dispatching accuracy and timeliness in a supply chain network are improved.

Description

Technical Field

[0001] The present invention relates to the field of transportation scheduling technology, and specifically to a transportation scheduling system and method adapted for a smart supply chain. Background Art

[0002] The transportation scheduling system of the smart supply chain is an intelligent management system that integrates advanced technologies such as the Internet of Things, big data, artificial intelligence, and cloud computing. It aims to achieve efficient allocation of transportation resources in the supply chain and reasonable arrangement of transportation tasks. It collects, analyzes and processes various information in the transportation process in real time to provide a scientific basis for transportation decisions, thereby improving transportation efficiency, reducing costs and increasing customer satisfaction.

[0003] However, in the existing technology, it is impossible to perform scheduling control based on the real-time supply chain transportation vehicle route analysis and real-time status monitoring, and it is impossible to perform reasonable matching in the scheduling control, resulting in a decrease in scheduling efficiency.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A transportation dispatching system adapted to a smart supply chain includes a transportation management platform, wherein the transportation management platform is communicatively connected to a planning route prediction unit, a transportation real-time monitoring unit, and an intelligent dispatching unit;

[0008] The planning route prediction unit predicts the supply chain planning route, and infers whether the supply chain needs to be scheduled through real-time planning route traffic condition prediction; the transportation real-time monitoring unit monitors the real-time transportation vehicles of the supply chain in real time, and infers whether the transportation status of the transportation vehicles is normal through real-time monitoring of the transportation vehicles; the transportation management platform receives the route scheduling signal and the route non-scheduling signal, and marks the corresponding transportation vehicles as the line receiving scheduling end and the line active scheduling end respectively; after receiving the vehicle scheduling signal and the vehicle non-scheduling signal, the corresponding transportation vehicles are marked as the vehicle receiving scheduling end and the vehicle active scheduling end respectively;

[0009] The intelligent dispatching unit intelligently dispatches the transport vehicles in the supply chain and matches them through various dispatching terminals and terminals that require dispatching.

[0010] As a preferred embodiment of the present invention, the operation process of the planning route prediction unit is as follows:

[0011] The numerical ratio of the span increase of incoming traffic flow to the span increase of outgoing traffic flow in the corresponding section of the current planned route of the real-time supply chain transport vehicle is obtained, and at the same time, the span of the average speed reduction of traffic flow in the corresponding section of the current planned route of the real-time supply chain transport vehicle is obtained.

[0012] As a preferred implementation of the present invention, if the span value ratio of the increase span of the incoming vehicle flow to the increase span of the outgoing vehicle flow in the road section corresponding to the current planned route of the real-time transportation vehicle of the supply chain exceeds the span value ratio threshold, or the average speed reduction span of the vehicle flow in the road section corresponding to the current planned route of the real-time transportation vehicle of the supply chain exceeds the average speed reduction span threshold, a route scheduling signal is generated;

[0013] If the span value ratio of the increase span of incoming traffic flow to the increase span of outgoing traffic flow in the road section corresponding to the current planned route of the real-time supply chain transportation vehicle does not exceed the span value ratio threshold, and the average speed reduction span of the traffic flow in the road section corresponding to the current planned route of the real-time supply chain transportation vehicle does not exceed the average speed reduction span threshold, a route non-dispatching signal is generated.

[0014] As a preferred embodiment of the present invention, the operation process of the transport real-time monitoring unit is as follows:

[0015] The speed span ratio corresponding to the increasing speed of the cumulative value of the delay time of the transportation nodes of the real-time transportation vehicles of the supply chain and the reduction span of the advance time for all transportation nodes to complete the transportation is obtained; at the same time, the maximum growth span of the transportation speed corresponding to the delay in the transportation progress of the real-time transportation vehicles of the supply chain during the transportation stage is obtained.

[0016] As a preferred embodiment of the present invention, if the speed span ratio of the increasing speed of the cumulative value of the delay time of the transportation node arrival of the real-time transportation vehicle of the supply chain to the speed span ratio corresponding to the reduction span of the advance time amount of all transportation nodes to complete the transportation exceeds the speed span ratio threshold, or the maximum growth span of the corresponding transportation speed when the transportation progress of the real-time transportation vehicle of the supply chain is delayed in the transportation stage does not exceed the maximum growth speed threshold, then a vehicle scheduling signal is generated;

[0017] If the speed span ratio corresponding to the increase rate of the cumulative value of the arrival delay time of the real-time transportation vehicles in the supply chain and the reduction span of the advance time for all transportation nodes to complete the transportation does not exceed the speed span ratio threshold, and the maximum growth span of the transportation speed corresponding to the delay in the transportation progress of the real-time transportation vehicles in the transportation stage of the supply chain exceeds the maximum growth speed threshold, a vehicle no-dispatch signal is generated.

[0018] As a preferred embodiment of the present invention, the sum of the distance values ​​corresponding to the increased span of the route change moving distance and the vehicle interval distance of the line receiving and dispatching end and the line active dispatching end is obtained, and at the same time, the ratio of the excess cargo volume of the receiving end corresponding to the vehicle receiving and dispatching end and the cargo volume carried by the idle space of the active end is obtained.

[0019] As a preferred embodiment of the present invention, if the distance between the route receiving dispatching end and the route active dispatching end corresponding to the route change movement distance increase span and the vehicle interval distance corresponding to the distance value and threshold value, or the ratio of the excess cargo volume of the receiving end corresponding to the vehicle receiving dispatching end and the cargo volume carried by the idle space of the active end exceeds the cargo volume ratio threshold value, a non-adaptive dispatching signal is generated;

[0020] If the corresponding distance values ​​of the increased span of the route change movement distance between the line receiving dispatching end and the line active dispatching end and the vehicle interval distance do not exceed the distance value and threshold, and the ratio of the excess cargo volume at the receiving end and the cargo volume carried by the idle space at the active end corresponding to the vehicle receiving dispatching end and the vehicle active dispatching end does not exceed the cargo volume ratio threshold, an adaptive dispatching signal is generated.

[0021] The transportation scheduling method adapted to the smart supply chain, the specific steps of the transportation scheduling method are as follows:

[0022] Planning route prediction: predict the supply chain planning route, infer whether the supply chain needs to be operated and dispatched through real-time planning route traffic condition prediction, and mark the corresponding transport vehicles as the route receiving dispatch end and the route active dispatch end respectively;

[0023] Real-time transportation monitoring: real-time monitoring of real-time transportation vehicles in the supply chain. Through real-time monitoring of transportation vehicles, it is inferred whether the transportation status of the transportation vehicles is normal, and the corresponding transportation vehicles are marked as vehicle receiving and dispatching end and vehicle active dispatching end respectively;

[0024] Intelligent scheduling: intelligent scheduling of transport vehicles in the supply chain, matching them through various scheduling terminals and terminals that require scheduling.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] Predict the supply chain planning route, and infer whether the supply chain needs to be scheduled through real-time planning route traffic condition prediction. At the same time, the scheduling object can be determined based on the real-time planning route prediction, and route planning or transportation vehicle scheduling can be carried out according to the real-time traffic conditions, which improves the accuracy of intelligent transportation scheduling;

[0027] Real-time monitoring of transport vehicles in the supply chain is carried out. Through real-time monitoring of transport vehicles, it is inferred whether the transport status of the transport vehicles is normal, and thus whether the transport vehicles in the current supply chain need to be dispatched. In this way, the abnormal status of the transport vehicles will cause supply chain interruptions. At the same time, it is impossible to conduct real-time dispatch according to the status of the transport vehicles, which reduces the efficiency of supply chain dispatch.

[0028] Intelligently dispatch the transport vehicles in the supply chain and match them with the terminals that need to be dispatched to improve the accuracy and timeliness of dispatch within the supply chain network. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0030] Figure 1 It is a principle block diagram of the present invention;

[0031] Figure 2 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0034] See also Figure 1 As shown, a transportation scheduling system adapted to a smart supply chain includes a transportation management platform, wherein the transportation management platform is communicatively connected with a planning route prediction unit, a transportation real-time monitoring unit, and an intelligent scheduling unit, and the transportation management platform is bidirectionally connected with the planning route prediction unit, the transportation real-time monitoring unit, and the intelligent scheduling unit;

[0035] The transportation management platform generates a planned route prediction signal and sends it to the planned route prediction unit. After receiving the planned route prediction signal, the planned route prediction unit predicts the supply chain planned route and infers whether the supply chain needs to be scheduled through real-time planned route traffic condition prediction. At the same time, the scheduling object can be determined based on the real-time planned route prediction, and route planning or transportation vehicle scheduling can be performed according to the real-time traffic conditions, thereby improving the accuracy of intelligent transportation scheduling.

[0036] Get the span value ratio of the increase span of incoming traffic to the increase span of outgoing traffic in the corresponding section of the current planned route of the real-time supply chain transport vehicle, and at the same time get the average speed reduction span of the corresponding section of the current planned route of the real-time supply chain transport vehicle, and compare the span value ratio of the increase span of incoming traffic to the increase span of outgoing traffic in the corresponding section of the current planned route of the real-time supply chain transport vehicle and the average speed reduction span of the corresponding section of the current planned route of the real-time supply chain transport vehicle with the span value ratio threshold and the average speed reduction span threshold respectively:

[0037] If the span value ratio of the increase span of incoming vehicle flow to the increase span of outgoing vehicle flow in the road section corresponding to the current planned route of the real-time transport vehicle of the supply chain exceeds the span value ratio threshold, or the average speed reduction span of the road section corresponding to the current planned route of the real-time transport vehicle of the supply chain exceeds the average speed reduction span threshold, it is inferred that the transport vehicles of the current supply chain need to be dispatched, a route dispatch signal is generated, and the route dispatch signal and the corresponding transport vehicles are sent to the transport management platform;

[0038] If the span value ratio of the increase span of incoming traffic flow to the increase span of outgoing traffic flow in the road section corresponding to the current planned route of the real-time transport vehicle of the supply chain does not exceed the span value ratio threshold, and the average speed reduction span of the traffic flow in the road section corresponding to the current planned route of the real-time transport vehicle of the supply chain does not exceed the average speed reduction span threshold, it is inferred that the transport vehicle of the current supply chain does not need to be dispatched, and a route non-dispatching signal is generated and the route non-dispatching signal and the corresponding transport vehicle are sent to the transport management platform;

[0039] The transportation management platform generates a real-time transportation monitoring signal and sends it to the real-time transportation monitoring unit. After receiving the real-time transportation monitoring signal, the real-time transportation monitoring unit monitors the real-time transportation vehicles in the supply chain in real time. Through the real-time monitoring of the transportation vehicles, it is inferred whether the transportation status of the transportation vehicles is normal, and thus whether the transportation vehicles in the current supply chain need to be dispatched. In this way, the abnormal status of the transportation vehicles causes the interruption of the supply chain. At the same time, it is impossible to conduct real-time dispatch according to the status of the transportation vehicles, which reduces the dispatch efficiency of the supply chain.

[0040] The speed span ratio of the increasing speed of the cumulative value of the delay time of the arrival of the real-time transport vehicle of the supply chain to the speed span ratio corresponding to the reduction span of the advance time for all transport nodes to complete the transportation is obtained, where the speed span ratio is expressed as the ratio of the corresponding values ​​of the speed and the span, without considering the influence of inconsistent units; at the same time, the maximum growth span of the transportation speed corresponding to the delay in the transportation progress of the real-time transport vehicle of the supply chain during the transportation stage is obtained, and the speed span ratio of the increasing speed of the cumulative value of the delay time of the arrival of the real-time transport vehicle of the supply chain to the speed span ratio corresponding to the reduction span of the advance time for all transport nodes to complete the transportation, and the maximum growth span of the transportation speed corresponding to the delay in the transportation progress of the real-time transport vehicle of the supply chain during the transportation stage are compared with the speed span ratio threshold and the speed maximum growth speed threshold respectively:

[0041] If the speed span ratio of the increasing speed of the cumulative value of the delay time of the transportation node arrival of the real-time transportation vehicle of the supply chain to the speed span ratio corresponding to the reduction span of the advance time amount of all transportation nodes to complete the transportation exceeds the speed span ratio threshold, or the maximum growth span of the corresponding transportation speed when the transportation progress of the real-time transportation vehicle of the supply chain is delayed during the transportation stage does not exceed the maximum growth speed threshold, it is inferred that the real-time monitoring of the real-time transportation vehicle of the supply chain is abnormal, and a vehicle dispatching signal is generated and the vehicle dispatching signal and the transportation vehicle are sent to the transportation management platform;

[0042] If the speed span ratio of the increasing speed of the cumulative value of the delay time of the transportation node arrival of the real-time transportation vehicle of the supply chain and the reduction span of the advance time of all transportation nodes to complete the transportation does not exceed the speed span ratio threshold, and the maximum growth span of the corresponding transportation speed when the transportation progress of the real-time transportation vehicle of the supply chain is delayed in the transportation stage exceeds the maximum growth speed threshold, it is inferred that the real-time monitoring of the real-time transportation vehicle of the supply chain is normal, and a vehicle no-dispatch signal is generated and the vehicle no-dispatch signal and the transportation vehicle are sent to the transportation management platform;

[0043] The transportation management platform receives the route dispatch signal and the route non-dispatching signal, and marks the corresponding transport vehicles as the route receiving dispatch end and the route active dispatch end respectively; after receiving the vehicle dispatch signal and the vehicle non-dispatching signal, the corresponding transport vehicles are marked as the vehicle receiving dispatch end and the vehicle active dispatch end respectively;

[0044] At the same time, an intelligent dispatching signal is generated and sent to the intelligent dispatching unit. After receiving the intelligent dispatching signal, the intelligent dispatching unit intelligently dispatches the transport vehicles in the supply chain and matches each dispatching terminal with the required dispatching terminal to improve the accuracy and timeliness of dispatching within the supply chain network.

[0045] The sum of the distance values ​​corresponding to the route change moving distance increase span and the vehicle interval distance corresponding to the line receiving dispatching end and the line active dispatching end is obtained, and at the same time, the ratio of the excess cargo volume of the receiving end corresponding to the vehicle receiving dispatching end and the vehicle active dispatching end to the cargo volume carried by the idle space of the active end is obtained, and the sum of the distance values ​​corresponding to the route change moving distance increase span and the vehicle interval distance corresponding to the line receiving dispatching end and the line active dispatching end, and the ratio of the excess cargo volume of the receiving end corresponding to the vehicle receiving dispatching end and the vehicle active dispatching end to the cargo volume carried by the idle space of the active end are compared with the distance value and threshold and the cargo volume ratio threshold respectively: the cargo volume is expressed as the cargo area or the cargo quantity;

[0046] If the distance between the route receiving dispatching end and the active dispatching end of the line and the distance between the vehicles corresponding to the increased span of the route change movement distance and the distance value corresponding to the vehicle interval distance and the threshold value, or the ratio of the excess cargo volume at the corresponding receiving end of the vehicle receiving dispatching end and the cargo volume carried by the idle space of the active end of the vehicle corresponding to the active dispatching end exceeds the cargo volume ratio threshold, it is inferred that the corresponding dispatching end is unqualified, and a non-adaptive dispatching signal is generated and sent to the transportation management platform;

[0047] If the corresponding distance values ​​of the increased span of the route change movement distance between the line receiving dispatching end and the line active dispatching end and the vehicle interval distance do not exceed the distance value and the threshold, and the ratio of the excess cargo volume of the corresponding receiving end between the vehicle receiving dispatching end and the vehicle active dispatching end to the cargo volume carried by the idle space of the active end does not exceed the cargo volume ratio threshold, it is inferred that the corresponding dispatching end is qualified, and an adaptive dispatching signal is generated and sent to the transportation management platform;

[0048] After receiving the adaptation dispatch signal, the transportation management platform will match the corresponding line receiving dispatch end and line active dispatch end, vehicle receiving dispatch end and vehicle active dispatch end respectively and coordinate the supply chain transportation;

[0049] See also Figure 2 As shown in the figure, the transportation scheduling method adapted to the smart supply chain, the specific steps of the transportation scheduling method are as follows:

[0050] Planning route prediction: predict the supply chain planning route, infer whether the supply chain needs to be operated and dispatched through real-time planning route traffic condition prediction, and mark the corresponding transport vehicles as the route receiving dispatch end and the route active dispatch end respectively;

[0051] Real-time transportation monitoring: real-time monitoring of real-time transportation vehicles in the supply chain. Through real-time monitoring of transportation vehicles, it is inferred whether the transportation status of the transportation vehicles is normal, and the corresponding transportation vehicles are marked as vehicle receiving and dispatching end and vehicle active dispatching end respectively;

[0052] Intelligent scheduling: intelligent scheduling of transport vehicles in the supply chain, matching them through various scheduling terminals and terminals that require scheduling.

[0053] When the present invention is in use, the planning route prediction unit predicts the supply chain planning route, and infers whether the supply chain needs to be scheduled through the real-time planning route traffic condition prediction; the transportation real-time monitoring unit monitors the real-time transportation vehicles of the supply chain in real time, and infers whether the transportation status of the transportation vehicles is normal through the real-time monitoring of the transportation vehicles; the transportation management platform receives the route scheduling signal and the route non-scheduling signal, and marks the corresponding transportation vehicles as the line receiving scheduling end and the line active scheduling end respectively; after receiving the vehicle scheduling signal and the vehicle non-scheduling signal, the corresponding transportation vehicles are marked as the vehicle receiving scheduling end and the vehicle active scheduling end respectively;

[0054] The intelligent dispatching unit intelligently dispatches the transport vehicles in the supply chain and matches them through various dispatching terminals and terminals that require dispatching.

[0055] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A transportation scheduling system adapted to the smart supply chain, characterized by: It includes a transportation management platform, wherein the transportation management platform is communicatively connected with a planning route prediction unit, a transportation real-time monitoring unit and an intelligent dispatching unit; The planning route prediction unit predicts the supply chain planning route and infers whether the supply chain needs to be operated and scheduled through real-time planning route traffic condition prediction; The transport real-time monitoring unit monitors the real-time transport vehicles of the supply chain in real time, and infers whether the transport status of the transport vehicles is normal through real-time monitoring of the transport vehicles; The transportation management platform receives the route dispatch signal and the route non-dispatching signal, and marks the corresponding transport vehicles as the route receiving dispatch end and the route active dispatch end respectively; after receiving the vehicle dispatch signal and the vehicle non-dispatching signal, the corresponding transport vehicles are marked as the vehicle receiving dispatch end and the vehicle active dispatch end respectively; The intelligent dispatching unit intelligently dispatches the transport vehicles in the supply chain and matches them through various dispatching terminals and terminals that require dispatching.

2. The transportation scheduling system adapted to the smart supply chain according to claim 1 is characterized in that: The operation process of the planning route prediction unit is as follows: The numerical ratio of the span increase of incoming traffic flow to the span increase of outgoing traffic flow in the corresponding section of the current planned route of the real-time supply chain transport vehicle is obtained, and at the same time, the span of the average speed reduction of traffic flow in the corresponding section of the current planned route of the real-time supply chain transport vehicle is obtained.

3. The transportation scheduling system adapted to the smart supply chain according to claim 2 is characterized in that: If the span value ratio of the increase span of incoming vehicle flow to the increase span of outgoing vehicle flow in the road section corresponding to the current planned route of the real-time supply chain transport vehicle exceeds the span value ratio threshold, or the average speed reduction span of the traffic flow in the road section corresponding to the current planned route of the real-time supply chain transport vehicle exceeds the average speed reduction span threshold, a route scheduling signal is generated; If the span value ratio of the increase span of incoming traffic flow to the increase span of outgoing traffic flow in the road section corresponding to the current planned route of the real-time supply chain transportation vehicle does not exceed the span value ratio threshold, and the average speed reduction span of the traffic flow in the road section corresponding to the current planned route of the real-time supply chain transportation vehicle does not exceed the average speed reduction span threshold, a route non-dispatching signal is generated.

4. The transportation scheduling system adapted to the smart supply chain according to claim 1 is characterized in that: The operation process of the transport real-time monitoring unit is as follows: The speed span ratio corresponding to the increasing speed of the cumulative value of the delay time of the transportation nodes of the real-time transportation vehicles of the supply chain and the reduction span of the advance time for all transportation nodes to complete the transportation is obtained; at the same time, the maximum growth span of the transportation speed corresponding to the delay in the transportation progress of the real-time transportation vehicles of the supply chain during the transportation stage is obtained.

5. The transportation scheduling system adapted to the smart supply chain according to claim 1 is characterized in that: If the speed span ratio of the increasing speed of the cumulative value of the delay time of the transportation node arrival of the real-time transportation vehicle of the supply chain to the speed span ratio corresponding to the reduction span of the advance time amount of all transportation nodes to complete the transportation exceeds the speed span ratio threshold, or the maximum growth span of the corresponding transportation speed when the transportation progress of the real-time transportation vehicle of the supply chain is delayed in the transportation stage does not exceed the maximum growth speed threshold, then a vehicle scheduling signal is generated; If the speed span ratio corresponding to the increase rate of the cumulative value of the arrival delay time of the real-time transportation vehicles in the supply chain and the reduction span of the advance time for all transportation nodes to complete the transportation does not exceed the speed span ratio threshold, and the maximum growth span of the transportation speed corresponding to the delay in the transportation progress of the real-time transportation vehicles in the transportation stage of the supply chain exceeds the maximum growth speed threshold, a vehicle no-dispatch signal is generated.

6. The transportation scheduling system adapted to the smart supply chain according to claim 1 is characterized in that: The sum of the distance values ​​corresponding to the increased span of the route change movement distance and the vehicle interval distance at the line receiving and dispatching end and the line active dispatching end is obtained, and at the same time, the ratio of the excess cargo volume at the receiving end and the cargo volume carried by the idle space at the active end corresponding to the vehicle receiving and dispatching end and the vehicle active dispatching end is obtained.

7. The transportation scheduling system adapted to the smart supply chain according to claim 6 is characterized in that: If the distance between the route change moving distance increase span and the vehicle interval distance corresponding to the line receiving dispatching end and the line active dispatching end exceeds the distance value and the threshold, or the ratio of the excess cargo volume at the receiving end and the cargo volume carried by the idle space at the active end corresponding to the vehicle receiving dispatching end and the vehicle active dispatching end exceeds the cargo volume ratio threshold, a non-adaptive dispatching signal is generated; If the corresponding distance values ​​of the increased span of the route change movement distance between the line receiving dispatching end and the line active dispatching end and the vehicle interval distance do not exceed the distance value and threshold, and the ratio of the excess cargo volume at the receiving end and the cargo volume carried by the idle space at the active end corresponding to the vehicle receiving dispatching end and the vehicle active dispatching end does not exceed the cargo volume ratio threshold, an adaptive dispatching signal is generated.

8. A transportation scheduling method adapted to a smart supply chain, characterized in that: A transportation scheduling system adapted to a smart supply chain as described in any one of claims 1-7 above.

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