CN111563709A - Intelligent logistics cargo link cargo collection method and system - Google Patents
Intelligent logistics cargo link cargo collection method and system Download PDFInfo
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Abstract
The invention discloses an intelligent logistics cargo link cargo collection method and system, wherein the method comprises the following steps of continuously receiving position change information of each node reached by waybill transportation, carrying out cargo collection analysis on each node and issuing a transportation task, wherein the cargo collection process comprises the following steps: receiving waybill information collected by each departure point; analyzing whether the waybills collected by each starting point meet the requirement of time-efficient cargo collection, and if so, generating a cargo collection task; if not, analyzing whether full-load goods collection is met, if so, generating a goods collection task, and if not, repeatedly performing time-effect goods collection and full-load goods collection analysis; and issuing a loading and cargo collection transportation task, and transporting the freight notes meeting the cargo collection task to the same next node. Through the mode, the freight bill collection and transportation system can collect freight bills of each node and then transport the freight bills, improves the utilization efficiency of transport vehicles, and saves the transport cost.
Description
Technical Field
The application relates to the technical field of logistics transportation, in particular to an intelligent logistics cargo link cargo collection method and system.
Background
With the increasing competition of the logistics market, the demand of customers on logistics transportation is higher, and the logistics transportation is expected to be completed at the fastest speed and the lowest price. The complexity and the variability of the factors such as the types of goods, the sending places, the receiving places, the transportation lines, the transportation time, the arrival time, the human and vehicle resources, the transportation expenses, the freight note monitoring and the like in the trunk transportation process directly influence the trunk transportation speed and the transportation cost. Therefore, the comprehensive cargo collection processing of the waybills to improve the efficiency of the trunk transportation and reduce the cost is always the direction of efforts of all logistics enterprises.
Currently, many logistics enterprises adopt a batch mode of manual handling of waybills and trunk transportation by fixed time and place, which has two problems: 1. the manual waybill processing is difficult to comprehensively consider factors such as waybill information, line information and transport vehicle information, and the whole transport resource cannot be utilized to the maximum extent, so that resource waste is caused, the transport cost is increased, the number of the waybill is continuously increased along with the increase of the business volume of an enterprise, the manual processing speed and the processing amount are limited, and in the face of the condition, the enterprise has to increase the investment of personnel to cause the improvement of the operation cost; 2. the trunk transportation is carried out in a batch mode with fixed time and place, and the variable customer requirements cannot be met in the aspects of timeliness and flexibility.
Disclosure of Invention
The application provides an intelligent logistics cargo link cargo collection method and system, which are used for solving the problems of overhigh transportation cost, waste of transportation capacity and inflexible trunk transportation in the existing logistics transportation process.
In order to solve the technical problem, the application adopts a technical scheme that: the intelligent logistics goods link goods collecting method comprises the following steps: receiving waybill information collected by each departure point, wherein the waybill information comprises cargo weight, a primary trunk transport route of each waybill transported to a departure airport by the departure point, and latest departure time of each node on the primary trunk transport route; analyzing whether the waybills collected by each starting point meet the requirement of time-efficient cargo collection, and if so, generating a cargo collection task; if not, analyzing whether full-load goods collection is met, if so, generating a goods collection task, and if not, repeatedly performing time-effect goods collection and full-load goods collection analysis; issuing a loading and cargo collection transportation task, and transporting the freight notes meeting the cargo collection task to the same next node; continuously receiving the position change information of each node reached by the waybill transportation, carrying out time efficiency goods collection and full load goods collection analysis on each node reached, and issuing a loading goods collection transportation task when the goods collection condition is met.
As a further improvement of the invention, before the time-effect collection and full-load collection, the waybills collected by the current nodes are classified; the freight notes are classified into the same class, and at least the next node in the transport route of the primary trunk line is the same; the time-efficiency goods collection and the full-load goods collection both use the freight notes of the same type as analysis objects.
As a further improvement of the invention, the analysis of the aging collection and the full-load collection comprises the following steps: comparing the latest departure time of each waybill collected by the current node with the current time every preset time interval, judging whether the time difference between the latest departure time and the current time is less than or equal to a preset time threshold value, if so, meeting the time efficiency of cargo collection of the waybill, and generating a cargo collection task for transporting the waybill truck; and if not, calculating whether the total weight of the goods of each waybill collected by the current node exceeds the full-load value of the goods set by the current node, if so, meeting full-load goods collection, and generating a goods collection task for transporting each waybill truck with the total weight of the goods as equal to the full-load value of the goods as far as possible.
As a further improvement of the invention, after the time-efficient cargo collection is met and a cargo collection task for transporting the waybill truck is generated, the method also comprises the following steps: and judging whether the vehicle for transporting the freight bill is fully loaded, if not, changing the issued cargo collection task into the freight bill meeting the timeliness cargo collection freight bill at the latest departure time, and leading the vehicle to transport fully according to the timeliness cargo collection freight together with the freight bill meeting the timeliness cargo collection freight.
As a further improvement of the present invention, when the shipment is analyzed by the time-gathering at the departure point, and a shipment whose time difference between the latest departure time and the current time is smaller than the preset time threshold value appears, the same vehicle is arranged to transport the shipment from the departure point to the last node.
In order to solve the above technical problem, another technical solution adopted by the present application is: the utility model provides an wisdom commodity circulation goods link collection cargo system includes: the waybill information receiving module is used for receiving waybill information collected by each departure point and position change information of each node reached by each waybill transportation, wherein the waybill information comprises cargo weight, a primary trunk transportation route of each waybill transported to a departure airport by the departure point, and latest departure time of each node on the primary trunk transportation route; the analysis module is used for analyzing whether the freight note arriving at each node meets the requirement of time-efficient goods collection or full-load goods collection, and when the freight note arrives at each node, a goods collection task is generated; and the task issuing module is used for issuing a loading and cargo collection transportation task and transporting the freight notes meeting the cargo collection task to the same next node.
As a further improvement of the invention, the system also comprises an invoice classification module which is used for classifying the invoice collected by the current node before the aging collection and the full-load collection; the freight notes are classified into the same class, and at least the next node in the transport route of the primary trunk line is the same; and when the analysis module analyzes the time-effect collection and the full-load collection, the freight notes of the same type are taken as analysis objects.
As a further improvement of the invention, the analysis module comprises: the timeliness analysis unit is used for comparing the latest departure time of each waybill collected by the current node with the current time every interval of preset time, judging whether the time difference value between the latest departure time and the current time is less than or equal to a preset time threshold value, if the time difference value is less than or equal to the preset time threshold value, enabling the waybill to meet timeliness cargo collection, and generating a cargo collection task for transporting the waybill to a truck; and the full-load analysis unit is used for calculating whether the total weight of the goods of each waybill collected by the current node exceeds the full-load value of the goods set by the current node or not when the time-effect goods collection is not met, if so, the full-load goods collection is met, and a goods collection task for transporting each waybill truck with the total weight of the goods as equal to the full-load value of the goods as far as possible is generated.
As a further improvement of the present invention, the aging analysis unit further includes: and the timeliness transportation supplementing subunit is used for judging whether a vehicle for transporting the waybill is fully loaded or not when the timeliness analysis unit generates a cargo collection task for transporting the waybill truck, and if not, changing the issued cargo collection task into the waybill meeting the timeliness cargo collection waybill at the latest departure time later and enabling the vehicle to transport fully as much as possible together with the waybill meeting the timeliness cargo collection according to the timeliness cargo collection.
As a further improvement of the present invention, the timeliness analysis unit is further configured to perform timeliness collection analysis at the departure point, and when finding the waybill whose time difference between the latest departure time and the current time is smaller than the preset time threshold, arrange that the waybill is transported from the departure point to the last node by the same vehicle.
The beneficial effect of this application is: the intelligent logistics goods link goods collection method generates a goods collection task by collecting the waybills which meet the aging goods collection or full-load goods collection at each starting point, issues a loading goods collection transportation task, transports the waybills which meet the goods collection task to the same next node, then continuously receives the position change information of the waybills which are transported to each node, analyzes the aging goods collection and the full-load goods collection of each node, and issues the loading goods collection transportation task when the goods collection condition is met, so that the waybills which are transported to the same next node can be transported in a centralized mode to the maximum extent in the trunk line transportation process, the utilization rate of the transportation capacity of a transport vehicle is improved, the transportation cost is reduced, and the waybills are flexibly distributed on the premise that the aging requirements of customers are met; in addition, compared with the processing mode in the prior art, the processing mode of the invention does not need to manually process the waybill, thereby saving the labor cost and improving the working efficiency.
Drawings
Fig. 1 is a schematic flow chart of an intelligent logistics cargo link cargo gathering method according to an embodiment of the invention;
fig. 2 is a functional block diagram of an intelligent logistics cargo link cargo gathering system according to a first embodiment of the invention;
fig. 3 is a functional block diagram of an intelligent logistics cargo link cargo gathering system according to a second embodiment of the invention;
fig. 4 is a functional block diagram of an intelligent logistics cargo link cargo gathering system according to a third embodiment of the invention;
fig. 5 is a functional block diagram of an intelligent logistics cargo link cargo gathering system according to a fourth embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first", "second" and "third" in this application are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any indication of the number of technical features indicated. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of the feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise. All directional indications (such as up, down, left, right, front, and rear … …) in the embodiments of the present application are only used to explain the relative positional relationship between the components, the movement, and the like in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indication is changed accordingly. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Fig. 1 is a schematic flow chart of an intelligent logistics cargo link cargo gathering method according to an embodiment of the invention. It should be noted that the main implementation of the present invention is a trunk system, and specifically, as shown in fig. 1, the intelligent logistics cargo link cargo gathering method includes the steps of:
step S1: and receiving the waybill information collected by each departure point, wherein the waybill information comprises the weight of the goods, a primary trunk transport route of each waybill transported to a departure airport from the departure point, and the latest departure time of each node on the primary trunk transport route.
After the customer places the order, the initial trunk transport route configuration is firstly carried out on the order, so that the order is converted into the freight note.
When the trunk transport route is initialized, a departure point part and a destination point part are confirmed through a mailing address, a receiving address, network point distribution and point part attribution; then, the departure airport and the destination airport are confirmed according to the attribution relationship between the point part and the airport; further, the ordering time and the service timeliness are combined, the initial distribution flight is confirmed, the initial distribution trunk transport route is generated, and the latest sending time of each node on the initial distribution trunk transport route is generated. Time guidance is provided for collecting orders at each node based on the latest time of issue of each order at each node on its primary trunk transport route.
The main transportation route refers to a transportation link from the departure point to the departure airport. Each node is arranged on the main transport route and comprises a starting point part and all levels of distribution fields between the starting point part and the starting airport; the specific arrangement of the several levels of the allocation sites can be determined by combining the actual geographic space and the traffic, and the last level of the allocation site is arranged at the departure airport (or near the airport). In this embodiment, for simplifying the description, the allocation sites are set at two levels at most, that is, each node of the main transport route is a departure point part, a second-level allocation site, and a first-level allocation site, and the first-level allocation site is a last-level allocation site and is set at or near the departure airport.
Meanwhile, the waybill information further includes waybill ordering time and service timeliness, wherein the service timeliness generally refers to the time consumed by the ordered goods from ordering to destination address, for example, 12 hours are reached, that is, the ordered goods need to reach the destination 12 hours after ordering.
The receipt of the waybill information converted from the order can be real-time, or can be received at certain intervals, for example, the waybill information is received once every 10 seconds, so that the processing load is reduced.
Step S2: analyzing whether the waybills collected by each starting point meet the time-efficient cargo collection, if so, generating a cargo collection task, and executing the step S3; if not, whether full-load collection is satisfied is analyzed, if yes, a collection task is generated, and if not, the step S2 is executed repeatedly.
In the implementation, the time-efficient collection indicates that the waybill is very urgent in the transportation time of the current node, and the transportation process must be arranged immediately, otherwise, the waybill may not reach the client within the specified time; the full-load goods collection means that the goods quantity of the current node of the waybill reaches the goods full-load value of the node, and the goods full-load value can be the maximum goods transportation value of the transportation vehicle of the current node unit and can also be the maximum storage value of the field of the current node; the goods collecting task is to transport each freight order goods meeting the time-efficiency goods collection or full-load goods collection to the same next node by loading the goods into a vehicle.
Furthermore, before time-efficient collection and full-load collection are carried out on each node including the departure point part, the waybills collected by the current node are classified. The freight notes are classified into the same class, and at least the next node in the transport route of the primary trunk line is the same; the time-effect goods collection and the full-load goods collection both use the freight notes of the same type as analysis objects.
In practice, the primary trunk transportation route of the same kind of waybill may be the same as the next node, or may be the same as the primary trunk transportation route. For example, at the departure point, the same waybills of the next node of the initially configured trunk route are classified into the same class, and when the initially configured trunk route is transported to each subsequent node and the initially configured trunk transport route is classified again, the same waybills of the next node of the initially configured trunk route are still classified into the same class; or, at the starting point, the waybills with the completely same initial trunk route are classified into the same class, and when the waybills are transported to each subsequent node for classifying the initial trunk transport route again, only the waybills with the completely same initial trunk route are classified into the same class; or, at the departure point, the waybills with the same initial trunk route are classified into the same class, and when the waybills are transported to each subsequent node to carry out the classification of the initial trunk transport route again, the initial trunk route is classified into the same class as long as the waybills with the same next node are classified into the same class. But in essence, the waybills are classified into the same class and meet the following requirements: and at least the next node is the same according to the respective primary distribution trunk transportation route.
The following examples are given for illustration: the routes of the existing waybill A, waybill B, waybill C, waybill D and waybill E of the primary trunk line are as follows:
the transport route of the primary trunk line of the freight note A is as follows: sand well and Yidian- > sand well northern loop secondary transfer- > Baoan airport primary distribution;
the transport route of the primary trunk line of the freight note B is as follows: sand well and Yidian- > sand well northern loop secondary transfer- > Baoan airport primary distribution;
the transport route of the primary trunk line of the freight note C is as follows: sand well and Yidian- > Fuhai and peaceful second-level transfer-Baoan airport first-level allocation;
the transport route of the primary trunk line of the freight note D is as follows: the Fuhai bridge head is dotted- > Fuhai and peace secondary transfer- > Baoan airport first-level distribution;
the transport route of the primary trunk line of the freight note E is as follows: the Fuhai bridge head is distributed to Fuhai and the peace secondary transfer field, and the Baoan airport is distributed at the first level.
Classifying the freight notes of each starting point, wherein the freight notes A and B are classified into one class, the freight notes C are classified into one class, and the freight notes D and E are classified into one class;
and (4) carrying out waybill classification on each secondary transit station, wherein a waybill A and a waybill B are classified into one class, and a waybill C, a waybill D and a waybill E are classified into one class.
The time-effect goods collection and the full-load goods collection both use the freight notes of the same type as analysis objects. Taking the analysis of time-effect collection and full-load collection of the departure point part as an example, the time-effect collection and the full-load collection are specifically explained as follows:
in the embodiment of the invention, every interval of preset time, the latest departure time of each waybill collected by the current node is compared with the current time, whether the time difference between the latest departure time and the current time is less than or equal to a preset time threshold value is judged, if yes, the waybill meets the requirement of time-efficient cargo collection, and a cargo collection task for transporting the waybill on a truck is generated.
It should be noted that: whether the result of the time-based collection is satisfied is dynamic change, the current time may not satisfy the time-based collection condition, and may be satisfied in the next minute, so that the calculation is required once every preset time interval, the preset time may be set to be one minute, 30 seconds or 10 seconds, and may be set according to actual conditions, which is not limited herein, but the preset time cannot be set too long so as to prevent the freight bill transportation time from exceeding the specified time for delivery to the customer.
The preset time threshold is used for comparing whether the current time of the waybill at the current node is faster than the latest departure time, if the latest departure time is close, the waybill is indicated to be transported at the current node immediately, and is judged to be time-efficient cargo collection, the preset time threshold can be set according to practical situations, and is not limited here, for example, the preset time threshold is set to 30 minutes, that is, 30 minutes before the latest departure time of the waybill is needed, and the waybill needs to be transported to the next node planned according to the route of the initially-allocated trunk. Generally, the time difference between the latest departure time and the current time of each waybill collected by the current node is compared through polling calculation, and when the time difference is equal to a preset time threshold, the time-based cargo collection is triggered. However, when a certain waybill compares the time difference value by polling at the current node, and the time difference value is already smaller than the preset time threshold value, then the aging collection is also triggered, and needs to be sent to the next node immediately, and such a waybill is generally defined as a special aging waybill. Typically, a particularly aged waybill will also be a particularly aged waybill at a subsequent node.
Furthermore, in order to improve the vehicle utilization rate and save the transportation cost, when the timeliness goods collection is met, after a goods collection task for transporting the freight note loading vehicle is generated, whether the vehicle for transporting the freight note is full is continuously judged, if not, the issued goods collection task is changed into the delivery task, the latest departure time is later than the freight note meeting the timeliness goods collection freight note, and the delivery task and the freight note meeting the timeliness goods collection give the vehicles full-load transportation as much as possible according to the timeliness goods collection. That is, the same waybill transported to the next node and the waybill satisfying the time-efficient cargo collection are loaded on the same vehicle for transportation. For example, through the analysis of the aging collection, an existing waybill A meets the aging collection, and a waybill B at the same current node does not meet the aging collection condition, that is, the waybill B is not close to the latest departure time.
When the time efficiency goods collection is not satisfied, further performing full-load goods collection analysis on the current node, specifically as follows:
and if the freight notes collected by the current node do not meet the time-efficiency goods collection, calculating whether the total weight of the goods of the freight notes collected by the current node exceeds the full load value of the goods set by the current node, if so, meeting the full load goods collection, and generating a goods collection task for loading and transporting the freight notes with the total weight as equal to the full load value of the goods as possible.
It should be noted that: the goods full load value can be the maximum goods transportation value of the transportation vehicle of the current node unit, and also can be the maximum storage value of the field of the current node, and the staff in the field of each node is set according to the field of each node and the configuration condition of the vehicle. Taking the full load value of the goods as the maximum goods transportation value of the transportation vehicle of the current node unit as an example, for example, if the vehicle generally configured at the departure point in the transport route of the primary distribution trunk is a 4.2m long vehicle, the full load value of the goods at the departure point is set to be 500 kg; and the distribution yard is a large vehicle, for example, a 9.6m long vehicle, the goods full load value of the distribution yard is set to be larger, for example, the goods full load value can be set to be 1200 kg. After the full-load goods collection is met, a goods collection task for transporting each waybill truck with the total weight of goods as equal to the full-load value of the goods as far as possible is generated, for example, the weight of the goods of the current waybill C is 200kg, the weight of the goods of the waybill D located at the same node with the waybill C is 300kg, the full-load value of the goods set by the current node is 500kg, the total weight of the goods of the waybill C and the waybill D just meets the full-load value of the goods set by the node, and the next node for transporting the two waybill D is the same, then the waybill C and the waybill D are loaded in.
In step S2, the waybill is confirmed to satisfy the time-based collection by analyzing waybill information of each waybill in the node; if yes, generating a cargo collection task to arrange transportation processing on the waybill; if not, analyzing whether the freight bill meets full-load goods collection; if yes, generating a collection generation collection task to arrange transportation processing on the waybill; if not, the step S2 is executed repeatedly, that is, the analysis of the aged goods collection and the full goods collection is repeated until the waybill meets the aged goods collection or the full goods collection is performed, and the goods collection task is triggered.
Step S3: and issuing a loading and cargo collection transportation task, and transporting the freight notes meeting the cargo collection task to the same next node.
In step S3, a driver and a vehicle are assigned to the manifest satisfying the collection task, and the execution task is arranged to retrieve the manifest from each departure point to the next node.
Continuously receiving the position change information of each node reached by the waybill transportation, carrying out time efficiency goods collection and full load goods collection analysis on each node reached, and issuing a loading goods collection transportation task when the goods collection condition is met.
After the freight manifest goods transported to each next node, namely the second-level distribution yard, from the starting point part arrive at the second-level distribution yard, the second-level distribution yard is also subjected to aging cargo collection full-load cargo collection analysis, which specifically refers to the description contents about the aging cargo collection and the full-load cargo collection, and is not repeated herein; when the goods collection condition is met, a goods collection task is issued, and the waybill goods are continuously transported to the next node, namely the first-level distribution yard. And continuously carrying out collection analysis on the node where the waybill is located and the nodes behind the waybill by continuously tracking the change of the position of the waybill, thereby completing the propulsion of the transportation path of the waybill.
Generally, the freight of the waybill transported from the departure point to the second-level allocation site by the small-sized vehicle is changed to the large-sized vehicle of the second-level allocation site when the second-level allocation site collects the freight again; however, when the aged shipment analysis is performed at the departure point, and the above-mentioned special aged manifest appears, the special aged manifest is transported by the same vehicle from the departure point to the last node, because the special aged manifest will also be the special aged manifest at the subsequent node. It will be appreciated that in this case, at the point of departure, the route of the original trunk is identical for the particular aged waybill loaded by the same vehicle and for the other waybills loaded along with the particular aged waybill.
It should be noted that, for the convenience of understanding, the present invention describes the contents of the scheme according to the time sequence of the shipping bill from the starting point to the nodes. However, due to the dynamic circulation of huge waybill information, the time-effect cargo collection analysis and the full-load cargo collection analysis of each node including the departure point part are performed simultaneously, that is, at preset time intervals, the time-effect cargo collection analysis and the full-load cargo collection analysis are performed on each node simultaneously, and a cargo collection task is issued to a waybill meeting the cargo collection condition and sent to the next node; and (4) constantly and repeatedly carrying out time-effect goods collection analysis and full-load goods collection analysis on all the nodes, and receiving the position change information of each waybill transported to each node to realize the tracking and transportation propulsion of each waybill transportation path.
The intelligent logistics goods link goods collection method generates a goods collection task by collecting the waybills which meet the aging goods collection or full-load goods collection of each starting point, issues a goods loading and goods collection transportation task, transports the waybills which meet the goods collection task to the same next node, then continuously receives the position change information of the waybills which are transported to each node, analyzes the aging goods collection and full-load goods collection of each node, and issues the goods loading and goods collection transportation task when meeting the goods collection condition, so that the waybills which are transported to the same next node can be transported in a centralized manner to the maximum extent in the trunk transportation process, the utilization rate of the transportation capacity of a transport vehicle is improved, the transportation cost is reduced, and the waybills are flexibly distributed on the premise of meeting the customer aging requirements; in addition, compared with the processing mode in the prior art, the processing mode of the invention does not need to manually process the waybill, thereby saving the labor cost and improving the working efficiency.
Fig. 2 is a functional block diagram of the intelligent logistics cargo link cargo gathering system according to the embodiment of the invention. As shown in fig. 2, the intelligent logistics cargo link cargo gathering system includes: the waybill information processing system comprises a waybill information receiving module 10, an analysis module 11 and a task issuing module 12.
The waybill information receiving module 10 is configured to receive waybill information collected by each departure point and position change information of each waybill transportation to each node, where the waybill information includes a weight of a cargo, a primary trunk transportation route of each waybill transportation from the departure point to a departure airport, and a latest departure time of each node on the primary trunk transportation route; the analysis module 11 is used for analyzing whether the freight note arriving at each node meets the time-efficient goods collection or the full-load goods collection, and when the goods collection condition is met, generating a goods collection task; and the task issuing module 12 is used for issuing a loading and cargo collection transportation task and transporting the freight notes meeting the cargo collection task to the same next node.
On the basis of the above embodiments, in other embodiments, as shown in fig. 3, the intelligent logistics cargo link cargo gathering system further includes an invoice classifying module 13, configured to classify the invoice collected by the current node before performing time-efficient cargo gathering and full-load cargo gathering; the freight notes are classified into the same class, and at least the next node in the transport route of the primary trunk line is the same; and when the analysis module analyzes the time-effect collection and the full-load collection, the freight notes of the same type are taken as analysis objects.
On the basis of the above embodiment, in other embodiments, as shown in fig. 4, the analysis module 11 includes an aging analysis unit 110 and a full load analysis unit 111.
The timeliness analysis unit 110 is configured to compare the latest departure time of each waybill collected by the current node with the current time every preset time interval, determine whether a time difference between the latest departure time and the current time is less than or equal to a preset time threshold, and if the time difference is less than or equal to the preset time threshold, determine that the waybill meets the timeliness cargo collection, and generate a cargo collection task for transporting the waybill truck; and the full load analysis unit 111 is used for calculating whether the total weight of the goods of each waybill collected by the current node exceeds the full load value of the goods set by the current node or not when the time-effect goods collection is not met, meeting the full load goods collection if the total weight of the goods exceeds the full load value of the goods set by the current node, and generating a goods collection task for transporting each waybill truck with the total weight of the goods as equal to the full load value of the goods as far as possible.
In addition to the above embodiments, in other embodiments, as shown in fig. 5, the aging analysis unit 110 further includes an aging transportation supplement subunit 1101, configured to determine whether a vehicle transporting the waybill is fully loaded when the aging analysis unit 110 generates a cargo collection task for transporting the waybill truck, and if not, change the issued cargo collection task to be that the latest departure time is later than the waybill meeting the aging cargo collection waybill, and the waybill meeting the aging cargo collection will be transported fully by the vehicle as much as possible according to the aging cargo collection.
In addition to the above embodiments, in other embodiments, the timeliness analysis unit 110 is further configured to perform timeliness collection analysis at the departure point, and when finding the waybill whose time difference between the latest departure time and the current time is smaller than the preset time threshold, arrange that the waybill is transported from the departure point to the last node by the same vehicle.
For other details of the technical solution implemented by each module in the intelligent logistics cargo link cargo collecting system in the four embodiments, reference may be made to the description of the intelligent logistics cargo link cargo collecting method in the embodiments above, and details are not repeated here.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the system-class embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The embodiments of the present invention have been described in detail, but the present invention is only exemplary and is not limited to the embodiments described above. It will be apparent to those skilled in the art that any equivalent modifications or substitutions can be made within the scope of the present invention, and thus, equivalent changes and modifications, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the scope of the present invention.
Claims (10)
1. An intelligent logistics cargo link cargo collection method is characterized by comprising the following steps:
receiving waybill information collected by each departure point, wherein the waybill information comprises cargo weight, a primary trunk transport route of each waybill transported to a departure airport by the departure point, and latest departure time of each node on the primary trunk transport route;
analyzing whether the waybills collected by each starting point meet the requirement of time-efficient cargo collection, and if so, generating a cargo collection task; if not, analyzing whether full-load goods collection is met, if so, generating a goods collection task, and if not, repeatedly performing time-effect goods collection and full-load goods collection analysis;
issuing a loading and cargo collection transportation task, and transporting the freight notes meeting the cargo collection task to the same next node;
continuously receiving the position change information of each node reached by the waybill transportation, carrying out time efficiency goods collection and full load goods collection analysis on each node reached, and issuing a loading goods collection transportation task when the goods collection condition is met.
2. The intelligent logistics cargo link cargo gathering method according to claim 1, wherein before the time-efficient cargo gathering and the full-load cargo gathering, the waybills collected by the current node are classified; the freight notes are classified into the same class, and at least the next node in the transport route of the primary trunk line is the same;
the time-efficiency goods collection and the full-load goods collection both use the freight notes of the same type as analysis objects.
3. The intelligent logistics cargo link cargo gathering method of claim 2, wherein the time-based cargo gathering and full-load cargo gathering analysis comprises:
comparing the latest departure time of each waybill collected by the current node with the current time every preset time interval, judging whether the time difference between the latest departure time and the current time is less than or equal to a preset time threshold value, if so, meeting the time efficiency of cargo collection of the waybill, and generating a cargo collection task for transporting the waybill truck;
and if not, calculating whether the total weight of the goods of each waybill collected by the current node exceeds the full-load value of the goods set by the current node, if so, meeting full-load goods collection, and generating a goods collection task for transporting each waybill truck with the total weight of the goods as equal to the full-load value of the goods as far as possible.
4. The intelligent logistics cargo link cargo gathering method according to claim 3, wherein after the cargo gathering meeting the time efficiency and generating the cargo gathering task for transporting the waybill truck, the method further comprises:
and judging whether the vehicle for transporting the freight bill is fully loaded, if not, changing the issued cargo collection task into the freight bill meeting the timeliness cargo collection freight bill at the latest departure time, and leading the vehicle to transport fully according to the timeliness cargo collection freight together with the freight bill meeting the timeliness cargo collection freight.
5. The intelligent logistics cargo link cargo gathering method as claimed in claim 3 or 4, wherein when the cargo gathering analysis at the departure point part shows the occurrence of the waybill with the time difference between the latest departure time and the current time smaller than the preset time threshold, the waybill is scheduled to be transported from the departure point part to the last node by the same vehicle.
6. The utility model provides an wisdom commodity circulation goods link collection goods system which characterized in that includes:
the waybill information receiving module is used for receiving waybill information collected by each departure point and position change information of each waybill transportation to each node, wherein the waybill information comprises cargo weight, a primary trunk transportation route of each waybill from the departure point to a departure airport, and latest departure time of each node on the primary trunk transportation route;
the analysis module is used for analyzing whether the freight note arriving at each node meets the requirement of time-efficient goods collection or full-load goods collection, and when the freight note arrives at each node, a goods collection task is generated;
and the task issuing module is used for issuing a loading and cargo collection transportation task and transporting the freight notes meeting the cargo collection task to the same next node.
7. The intelligent logistics cargo link cargo gathering system of claim 6, further comprising:
the waybill classifying module is used for classifying waybill collected by the current node before the time-effect collection and full-load collection; the freight notes are classified into the same class, and at least the next node in the transport route of the primary trunk line is the same;
and when the analysis module analyzes the time-effect collection and the full-load collection, the freight notes of the same type are taken as analysis objects.
8. The intelligent logistics cargo link cargo gathering system of claim 7, wherein the analysis module comprises:
the timeliness analysis unit is used for comparing the latest departure time of each waybill collected by the current node with the current time every interval of preset time, judging whether the time difference value between the latest departure time and the current time is less than or equal to a preset time threshold value, if the time difference value is less than or equal to the preset time threshold value, enabling the waybill to meet timeliness cargo collection, and generating a cargo collection task for transporting the waybill to a truck;
and the full-load analysis unit is used for calculating whether the total weight of the goods of each waybill collected by the current node exceeds the full-load value of the goods set by the current node or not when the time-effect goods collection is not met, if so, the full-load goods collection is met, and a goods collection task for transporting each waybill truck with the total weight of the goods as equal to the full-load value of the goods as far as possible is generated.
9. The intelligent logistics cargo link cargo gathering system of claim 8, wherein the aging analysis unit further comprises:
and the timeliness transportation supplementing subunit is used for judging whether a vehicle for transporting the waybill is fully loaded or not when the timeliness analysis unit generates a cargo collection task for transporting the waybill truck, and if not, changing the issued cargo collection task into the waybill meeting the timeliness cargo collection waybill at the latest departure time later and enabling the vehicle to transport fully as much as possible together with the waybill meeting the timeliness cargo collection according to the timeliness cargo collection.
10. The intelligent logistics cargo link cargo gathering system of claim 8 or 9, wherein the aging analysis unit is further configured to perform a departure-point aging cargo gathering analysis, and when a waybill with a time difference between the latest departure time and the current time smaller than a preset time threshold is found, the waybill is scheduled to be transported from the departure point to the last node by the same vehicle.
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