CN111652440B - Goods volume information management method and device for logistics nodes - Google Patents

Goods volume information management method and device for logistics nodes Download PDF

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CN111652440B
CN111652440B CN202010501797.9A CN202010501797A CN111652440B CN 111652440 B CN111652440 B CN 111652440B CN 202010501797 A CN202010501797 A CN 202010501797A CN 111652440 B CN111652440 B CN 111652440B
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logistics node
logistics
statistical period
node
calculated
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CN111652440A (en
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张海斌
吴树海
朱银祥
王在道
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Shanghai Yanxi Software Information Technology Co ltd
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Shanghai Yanxi Software Information Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Abstract

The invention discloses a commodity volume information management method and device for commodity circulation nodes, relates to the technical field of commodity circulation information, and can carry out statistical analysis on detailed information of the commodity volume of each commodity circulation node on the same day so as to reasonably configure unloading resources or loading resources of each commodity circulation node in advance, and reduce the commodity circulation cost while ensuring the commodity circulation transfer efficiency. The method comprises the following steps: carding the undispensed bill numbers in the whole network and acquiring logistics node information of each bill number circulation, wherein the logistics node information comprises at least one logistics node and the estimated sending time from the logistics node; and obtaining the cargo circulation quantity of each logistics node in the remaining statistical period and the total cargo circulation quantity in the statistical period based on the inventory bill number of each logistics node at the current moment, the bill number to be put in storage in the statistical period and the bill number to be sent out in the statistical period. The device is applied with the method proposed by the scheme.

Description

Goods volume information management method and device for logistics nodes
Technical Field
The invention relates to the technical field of logistics information, in particular to a cargo amount information management method and device for logistics nodes.
Background
The existing logistics node only gathers and reports the inventory goods quantity of the current node, but cannot gather and report the non-inventory goods quantity of the current logistics node, for example: the on-transit goods quantity, the goods quantity sent out from the warehouse, the goods quantity to be sent out from the warehouse and the like are counted in detail, and further the goods quantity information of each logistics node cannot be analyzed and predicted, so that insufficient preparation or excessive preparation of each logistics node on the allocation of unloading resources or loading resources is caused frequently, the transfer efficiency of logistics is affected, and the logistics cost is increased.
Disclosure of Invention
The invention aims to provide a commodity volume information management method and device for commodity circulation nodes, which can carry out statistical analysis on detailed information of the commodity volume of each commodity circulation node on the same day so as to reasonably allocate unloading resources or loading resources of each commodity circulation node in advance, and reduce the commodity circulation cost while ensuring the commodity circulation transfer efficiency.
In order to achieve the above object, an aspect of the present invention provides a method for managing cargo amount information of a logistics node, including:
carding the undispensed bill numbers in the whole network and acquiring logistics node information of each bill number circulation, wherein the logistics node information comprises at least one logistics node and the estimated sending time from the logistics node;
and obtaining the cargo circulation quantity of each logistics node in the remaining statistical period and the total cargo circulation quantity in the statistical period based on the inventory bill number of each logistics node at the current moment, the bill number to be put in storage in the statistical period and the bill number to be sent out in the statistical period.
Illustratively, the statistical period is a period from a time of the previous day T to a time of the current day T.
Preferably, the upcoming waybill numbers include the waybill numbers that arrive at the logistics node but are not unloaded, and the in-transit waybill numbers that were shipped from the last logistics node.
Preferably, the upcoming waybill numbers include the waybill numbers that are outbound from the logistics node and have been sent to the next logistics node, and the waybill numbers that are outbound from the logistics node but not sent.
Preferably, the method further comprises the step of not sending out the bill number of the last logistics node and not warehousing the bill number of the last logistics node.
Preferably, the method for obtaining the cargo circulation quantity of each logistics node in the remaining statistical period based on the inventory bill number of each logistics node at the current moment, the bill number to be put in storage in the statistical period and the bill number to be sent out in the statistical period comprises the following steps:
s1, counting the number A of inventory bill numbers before the time of the day T of estimated sending time in a logistics node to be calculated in real time;
s2, counting the number B of the waybill numbers, of which the estimated sending time is before the time of the day T, from the to-be-calculated logistics node based on the waybill numbers which arrive at the to-be-calculated logistics node at the current time but are not unloaded;
s3, based on the on-transit number of the last logistics node to the logistics node to be calculated at the current moment, counting the number C of the transit numbers of the logistics node to be calculated, wherein the estimated sending time of the transit number is before the moment of the current day T;
s4, based on the number D of the shipping labels which are delivered from the logistics node to be calculated at the current moment and are sent to the next logistics node;
s5, counting the quantity E of the waybill numbers which are sent out from the logistics node to be calculated but not sent out at the current moment and are estimated to be sent out from the logistics node to be calculated before the moment of the current day T;
s6, based on the quantity A, the quantity B, the quantity C, the quantity D and the quantity E, obtaining the cargo circulation quantity of the current logistics node to be calculated in the residual statistical period and the total cargo circulation quantity in the statistical period;
s7, selecting another logistics node in the whole network as a logistics node to be calculated, and repeating the steps S1-S6 to obtain the cargo circulation quantity of each logistics node in the remaining statistical period and the total cargo circulation quantity in the statistical period.
The method for acquiring the logistics node information of each waybill number circulation is as follows:
and obtaining the logistics node of each waybill number circulation from a big data system of the logistics platform and estimating the sending time from the logistics node.
Preferably, after obtaining the cargo circulation quantity of each logistics node in the remaining statistical period, the method further comprises:
displaying the estimated cargo flow quantity of each logistics node of the whole network in the residual statistical period in real time and the cargo flow quantity in the statistical period; or alternatively, the process may be performed,
and displaying the estimated cargo circulation quantity of the appointed logistics node in the residual statistical period and the cargo circulation quantity in the statistical period in real time.
Compared with the prior art, the cargo quantity information management method of the logistics node has the following beneficial effects:
according to the method for managing the cargo quantity information of the logistics nodes, the cargo quantity numbers in the non-delivery completed state in the whole network are firstly combed, all logistics nodes of each cargo quantity circulation and the sending time estimated from each logistics node are obtained, and then the cargo circulation quantity of each logistics node in the residual statistical period and the total cargo circulation quantity in the statistical period are obtained based on the inventory cargo quantity numbers of each logistics node at the current moment, the cargo quantity to be put in storage in the statistical period and the cargo quantity to be sent out in the statistical period. And each logistics node can reasonably allocate unloading resources or loading resources according to the cargo circulation quantity in the residual statistical period in advance, so that the logistics transfer efficiency is ensured, and meanwhile, the logistics cost is reduced.
Another aspect of the present invention provides a device for managing information on a cargo volume of a logistics node, where the method for managing information on a cargo volume of a logistics node according to the foregoing technical solution is applied, the device includes:
the information acquisition unit is used for carding the shipping list numbers which are not distributed in the whole network and acquiring logistics node information of each shipping list number circulation, wherein the logistics node information comprises at least one logistics node and the estimated sending time from the logistics node;
the data processing unit is used for obtaining the cargo circulation quantity of each logistics node in the remaining statistical period and the total cargo circulation quantity in the statistical period based on the inventory bill number of each logistics node at the current moment, the bill number to be put in storage in the statistical period and the bill number to be sent out in the statistical period.
Compared with the prior art, the beneficial effects of the commodity volume information management device of the logistics node provided by the invention are the same as those of the commodity volume information management method of the logistics node provided by the technical scheme, and the description is omitted herein.
A third aspect of the present invention provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor performs the steps of the method for inventory information management of a logistics node as described above.
Compared with the prior art, the beneficial effects of the computer readable storage medium provided by the invention are the same as those of the commodity volume information management method of the logistics node provided by the technical scheme, and the description is omitted here.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a flow chart of a method for managing information of a cargo amount of a logistics node in a first embodiment;
fig. 2 is a block diagram of a cargo amount information management device of a logistics node in the first embodiment.
Detailed Description
In order to make the above objects, features and advantages of the present invention more comprehensible, the following description of the embodiments accompanied with the accompanying drawings will be given in detail. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the present embodiment provides a method for managing cargo volume information of a logistics node, including:
carding the undispensed bill numbers in the whole network and acquiring logistics node information of each bill number circulation, wherein the logistics node information comprises at least one logistics node and the estimated sending time from the logistics node; and obtaining the cargo circulation quantity of each logistics node in the remaining statistical period and the total cargo circulation quantity in the statistical period based on the inventory bill number of each logistics node at the current moment, the bill number to be put in storage in the statistical period and the bill number to be sent out in the statistical period.
According to the cargo quantity information management method of the logistics nodes, firstly, the bill numbers in the non-delivery completion state in the whole network are combed, all logistics nodes of each bill number circulation and the sending time estimated from each logistics node are obtained, and then the cargo circulation quantity of each logistics node in the residual statistical period and the total cargo circulation quantity in the statistical period are obtained based on the inventory bill numbers of each logistics node at the current moment, the bill numbers to be put in storage in the statistical period and the bill numbers to be sent out in the statistical period. And each logistics node can reasonably allocate unloading resources or loading resources according to the cargo circulation quantity in the residual statistical period in advance, so that the logistics transfer efficiency is ensured, and meanwhile, the logistics cost is reduced.
In particular, the statistical period is a period from the time T of the previous day to the time T of the current day, for example, from six pm of the previous day to six pm of the current day.
Note that the upcoming waybill number includes the waybill number that arrives at the logistics node but is not unloaded, and the on-transit waybill number that arrives from the last logistics node. The upcoming waybill numbers include the waybill numbers that are outgoing from the logistics node and have been sent to the next logistics node, and the waybill numbers that are outgoing from the logistics node but not sent. And besides the to-be-put waybill number and the to-be-sent waybill number, the system also comprises the waybill number which is not sent by the last logistics node and the waybill number which is not put into the last logistics node.
In the above embodiment, the method for obtaining the cargo circulation amount of each logistics node in the remaining statistical period based on the inventory bill number of each logistics node at the current time, the bill number to be put in storage in the statistical period and the bill number to be sent out in the statistical period includes:
s1, counting the number A of inventory bill numbers before the time of the day T of estimated sending time in a logistics node to be calculated in real time;
s2, counting the number B of the waybill numbers, of which the estimated sending time is before the time of the day T, from the to-be-calculated logistics node based on the waybill numbers which arrive at the to-be-calculated logistics node at the current time but are not unloaded;
s3, based on the on-transit number of the last logistics node to the logistics node to be calculated at the current moment, counting the number C of the transit numbers of the logistics node to be calculated, wherein the estimated sending time of the transit number is before the moment of the current day T;
s4, based on the number D of the shipping labels which are delivered from the logistics node to be calculated at the current moment and are sent to the next logistics node;
s5, counting the quantity E of the waybill numbers which are sent out from the logistics node to be calculated but not sent out at the current moment and are estimated to be sent out from the logistics node to be calculated before the moment of the current day T;
s6, based on the quantity A, the quantity B, the quantity C, the quantity D and the quantity E, obtaining the cargo circulation quantity of the current logistics node to be calculated in the residual statistical period and the total cargo circulation quantity in the statistical period;
s7, selecting another logistics node in the whole network as a logistics node to be calculated, and repeating the steps S1-S6 to obtain the cargo circulation quantity of each logistics node in the remaining statistical period and the total cargo circulation quantity in the statistical period.
In the implementation, by carrying out statistical analysis on the waybill numbers which are not distributed in the whole network, the logistics node of each waybill number circulation and the corresponding sending time estimated from each logistics node can be combed, then one logistics node is selected from the whole network as the quantity A of the inventory waybill numbers of the logistics node to be calculated, the current state is counted as the quantity B of the waybill numbers which arrive at the logistics node to be calculated and are not unloaded but are sent before the moment T from the logistics node to be calculated, the current state is counted as the quantity C of the waybill numbers sent from the last logistics node to the logistics node to be calculated, but are sent before the moment T from the logistics node to be calculated, the current state is counted as the quantity D of the waybill numbers which are sent out from the logistics node to be calculated and are sent to the next logistics node, the current state is counted as the quantity E of the waybill numbers which are sent out from the logistics node to be calculated but are not sent, the quantity E of the waybill numbers before the moment T from the logistics node to be calculated, the quantity A, the quantity B, the quantity D and the quantity D are counted as the quantity D, and the quantity D are counted, and the quantity D are counted and the quantity D are accumulated in the total quantity. And similarly, selecting another logistics node in the whole network as a logistics node to be calculated, and repeating the steps to obtain the cargo circulation quantity of each logistics node in the whole network in the residual statistical period and the total cargo circulation quantity in the statistical period.
It can be understood that the method for acquiring the logistics node information of each waybill number stream comprises the following steps:
and obtaining the logistics node of each waybill number circulation from a big data system of the logistics platform and estimating the sending time from the logistics node.
Preferably, in the above embodiment, after obtaining the cargo circulation amount of each logistics node in the remaining statistical period, the method further includes:
displaying the estimated cargo flow quantity of each logistics node of the whole network in the residual statistical period in real time and the cargo flow quantity in the statistical period; or displaying the estimated cargo flow quantity of the appointed logistics node in the residual statistical period and the cargo flow quantity in the statistical period in real time.
Through real-time large screen display, a manager can acquire the goods circulation data of each logistics node in real time, and reasonable and effective resource allocation is facilitated.
Example two
Referring to fig. 2, the present embodiment provides a cargo amount information management device of a logistics node, including:
the information acquisition unit is used for carding the shipping list numbers which are not distributed in the whole network and acquiring logistics node information of each shipping list number circulation, wherein the logistics node information comprises at least one logistics node and the estimated sending time from the logistics node;
the data processing unit is used for obtaining the cargo circulation quantity of each logistics node in the remaining statistical period and the total cargo circulation quantity in the statistical period based on the inventory bill number of each logistics node at the current moment, the bill number to be put in storage in the statistical period and the bill number to be sent out in the statistical period.
Compared with the prior art, the beneficial effects of the cargo amount information management device of the logistics node provided by the embodiment are the same as those of the cargo amount information management method of the logistics node provided by the above embodiment, and are not described in detail herein.
Example III
The present embodiment provides a computer readable storage medium, on which a computer program is stored, the computer program executing the steps of the method for managing information on a commodity volume of a commodity circulation node when the computer program is executed by a processor.
Compared with the prior art, the beneficial effects of the computer readable storage medium provided by the embodiment are the same as the beneficial effects of the cargo amount information management method of the logistics node provided by the technical scheme, and are not described in detail herein.
It will be understood by those skilled in the art that all or part of the steps in implementing the above method of the present invention may be implemented by a program to instruct related hardware, the above program may be stored in a computer readable storage medium, the program when executed includes the steps of the method of the above embodiment, and the above storage medium may be: ROM/RAM, magnetic disks, optical disks, memory cards, etc.
The foregoing is merely illustrative embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the technical scope of the present invention, and the invention should be covered. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (6)

1. The method for managing the cargo quantity information of the logistics node is characterized by comprising the following steps of:
carding the undispensed bill numbers in the whole network and acquiring logistics node information of each bill number circulation, wherein the logistics node information comprises at least one logistics node and the estimated sending time from the logistics node;
based on the stock bill numbers of all logistics nodes at the current moment, the bill numbers to be put in storage in the statistics period and the bill numbers to be sent out in the statistics period, the cargo circulation quantity of all logistics nodes in the remaining statistics period and the total cargo circulation quantity in the statistics period are obtained;
the to-be-put waybill number comprises a waybill number which arrives at the logistics node but is not unloaded and an on-transit waybill number which is transmitted from the last logistics node;
the to-be-issued waybill numbers comprise the waybill numbers which are ex-warehouse from the logistics node and are sent to the next logistics node, and the waybill numbers which are ex-warehouse from the logistics node but are not issued;
the system also comprises a bill number which is not sent by the last logistics node and a bill number which is not put in the last logistics node yet;
the method for obtaining the cargo circulation quantity of each logistics node in the residual statistical period based on the inventory bill number of each logistics node at the current moment, the bill number to be put in storage in the statistical period and the bill number to be sent out in the statistical period comprises the following steps:
s1, counting the number A of inventory bill numbers before the time of the day T of estimated sending time in a logistics node to be calculated in real time;
s2, counting the number B of the waybill numbers, of which the estimated sending time is before the time of the day T, from the to-be-calculated logistics node based on the waybill numbers which arrive at the to-be-calculated logistics node at the current time but are not unloaded;
s3, based on the on-transit number of the last logistics node to the logistics node to be calculated at the current moment, counting the number C of the transit numbers of the logistics node to be calculated, wherein the estimated sending time of the transit number is before the moment of the current day T;
s4, based on the number D of the shipping labels which are delivered from the logistics node to be calculated at the current moment and are sent to the next logistics node;
s5, counting the quantity E of the waybill numbers which are sent out from the logistics node to be calculated but not sent out at the current moment and are estimated to be sent out from the logistics node to be calculated before the moment of the current day T;
s6, based on the quantity A, the quantity B, the quantity C, the quantity D and the quantity E, obtaining the cargo circulation quantity of the current logistics node to be calculated in the residual statistical period and the total cargo circulation quantity in the statistical period;
s7, selecting another logistics node in the whole network as a logistics node to be calculated, and repeating the steps S1-S6 to obtain the cargo circulation quantity of each logistics node in the remaining statistical period and the total cargo circulation quantity in the statistical period.
2. The method of claim 1, wherein the statistical period is a period corresponding to a time of day T from a time of day T.
3. The method of claim 1, wherein the method for obtaining the logistics node information of each waybill number stream comprises the following steps:
and obtaining the logistics node of each waybill number circulation from a big data system of the logistics platform and estimating the sending time from the logistics node.
4. The method of claim 1, further comprising, after deriving the amount of cargo flow for each logistics node over the remaining statistical period:
displaying the estimated cargo flow quantity of each logistics node of the whole network in the residual statistical period in real time and the cargo flow quantity in the statistical period; or alternatively, the process may be performed,
and displaying the estimated cargo circulation quantity of the appointed logistics node in the residual statistical period and the cargo circulation quantity in the statistical period in real time.
5. A cargo amount information management device of a logistics node, comprising:
the information acquisition unit is used for carding the shipping list numbers which are not distributed in the whole network and acquiring logistics node information of each shipping list number circulation, wherein the logistics node information comprises at least one logistics node and the estimated sending time from the logistics node;
the data processing unit is used for obtaining the cargo circulation quantity of each logistics node in the remaining statistical period and the total cargo circulation quantity in the statistical period based on the inventory bill number of each logistics node at the current moment, the bill number to be put in storage in the statistical period and the bill number to be sent out in the statistical period;
the to-be-put waybill number comprises a waybill number which arrives at the logistics node but is not unloaded and an on-transit waybill number which is transmitted from the last logistics node;
the to-be-issued waybill numbers comprise the waybill numbers which are ex-warehouse from the logistics node and are sent to the next logistics node, and the waybill numbers which are ex-warehouse from the logistics node but are not issued;
the system also comprises a bill number which is not sent by the last logistics node and a bill number which is not put in the last logistics node yet;
the data processing unit is specifically configured to include:
s1, counting the number A of inventory bill numbers before the time of the day T of estimated sending time in a logistics node to be calculated in real time;
s2, counting the number B of the waybill numbers, of which the estimated sending time is before the time of the day T, from the to-be-calculated logistics node based on the waybill numbers which arrive at the to-be-calculated logistics node at the current time but are not unloaded;
s3, based on the on-transit number of the last logistics node to the logistics node to be calculated at the current moment, counting the number C of the transit numbers of the logistics node to be calculated, wherein the estimated sending time of the transit number is before the moment of the current day T;
s4, based on the number D of the shipping labels which are delivered from the logistics node to be calculated at the current moment and are sent to the next logistics node;
s5, counting the quantity E of the waybill numbers which are sent out from the logistics node to be calculated but not sent out at the current moment and are estimated to be sent out from the logistics node to be calculated before the moment of the current day T;
s6, based on the quantity A, the quantity B, the quantity C, the quantity D and the quantity E, obtaining the cargo circulation quantity of the current logistics node to be calculated in the residual statistical period and the total cargo circulation quantity in the statistical period;
s7, selecting another logistics node in the whole network as a logistics node to be calculated, and repeating the steps S1-S6 to obtain the cargo circulation quantity of each logistics node in the remaining statistical period and the total cargo circulation quantity in the statistical period.
6. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, performs the steps of the method according to any of the preceding claims 1 to 4.
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