CN-122022654-A - Transport delivery optimization system combining two-dimensional analysis

CN122022654ACN 122022654 ACN122022654 ACN 122022654ACN-122022654-A

Abstract

The invention discloses a transportation distribution optimization system combining with two-dimensional analysis, which relates to the technical field of logistics management and comprises the steps of constructing a site distribution network, obtaining layout points of a medical logistics headquarter, constructing a logistics topology transportation network, calling transportation records of the logistics topology transportation network in a preset transportation time period, obtaining Q transportation record clusters of Q transportation path sets, carrying out two-dimensional window analysis, determining a transportation path reliability factor set, obtaining medical transportation tasks of a current window and headquarter logistics vehicle resource information, carrying out distribution scheme identification, obtaining an initial logistics distribution scheme, obtaining Q transportation cost sets of the Q transportation path sets, carrying out two-item optimization on the initial logistics distribution scheme, and generating a target logistics distribution scheme. The invention solves the technical problem that the timeliness, the transportation condition and the logistics resource of the medicine are difficult to comprehensively consider in the prior art for carrying out the medicine logistics distribution, and achieves the technical effect of improving the reliability and the efficiency of the medicine logistics distribution.

Inventors

NIE YI
SHI DAYONG

Assignees

江苏辰星药业股份有限公司

Dates

Publication Date: 20260512
Application Date: 20251223

Claims (8)

1. A shipping delivery optimization system incorporating a two-dimensional analysis, the system comprising: the system comprises a position identification module, a data acquisition module and a data processing module, wherein the position identification module is used for carrying out position identification on a plurality of medical stations in a target area and constructing a station distribution network, and the station distribution network comprises Q medical station distribution points; The distribution point position acquisition module acquires distribution points of a medical logistics headquarter, and constructs a logistics topology transport network by combining Q medical station distribution points of the site distribution network, wherein the logistics topology transport network comprises a headquarter topology node, Q medical station distribution points and Q transport path sets; The transportation record retrieving module retrieves transportation records of the logistics topological transportation network in a preset transportation time period to obtain Q transportation record clusters of Q transportation path sets, wherein each transportation record cluster comprises a plurality of transportation record sets of a plurality of transportation paths in one transportation path set; The two-dimensional window analysis module is used for carrying out two-dimensional window analysis on the Q transport record clusters and determining Q transport path reliable factor sets of the Q transport path sets; The distribution scheme generation module acquires the medical transportation task and headquarter logistics vehicle resource information of the current window, and performs distribution scheme identification by combining the Q transportation path reliability factor sets to acquire an initial logistics distribution scheme; the distribution scheme optimizing module acquires Q transport cost sets of Q transport path sets, and performs double-term optimization on the initial logistics distribution scheme by combining the Q transport cost sets to generate a target logistics distribution scheme, wherein the double-term optimization is used for reducing transport cost and improving transport reliability.
2. The shipping delivery optimization system in combination with a two-dimensional analysis of claim 1, wherein the step performed by the two-dimensional window analysis module further comprises: Carrying out vehicle running direction deviation recognition and vehicle running average speed recognition on the Q transport record clusters to obtain Q direction deviation clusters and Q vehicle running average speed clusters; Performing mean shift screening on the Q direction deviation clusters and the Q vehicle running average speed clusters to determine Q target direction deviation sets and Q target vehicle running average speed sets; and carrying out path reliability analysis on the Q transport path sets according to the Q target direction deviation sets and the Q target vehicle running average speed sets to obtain Q transport path reliability factor sets.
3. The shipping delivery optimization system in combination with a two-dimensional analysis of claim 2, wherein the step performed by the two-dimensional window analysis module further comprises: respectively acquiring the running directions and the running average speeds of the Q transport record clusters to obtain Q running direction clusters and Q vehicle running average speed clusters; And carrying out deviation recognition on the Q traveling direction clusters according to the Q standard traveling direction sets of the Q transportation path sets to obtain the Q direction deviation clusters.
4. The shipping delivery optimization system in combination with two-dimensional analysis of claim 3, wherein the two-dimensional window analysis module performs steps further comprising: extracting a first direction deviation cluster from the Q direction deviation clusters, wherein the first direction deviation cluster comprises a plurality of first direction deviation sets; a first direction deviation set is selected from the plurality of first direction deviation sets at will to construct a first mean shift space, wherein the first mean shift space comprises a plurality of drift particles, and each drift particle corresponds to one first direction deviation in the first direction deviation set; Taking the gravity center of the first mean shift space as a starting point, and moving in the first mean shift space according to a preset step length to obtain phase shift particles; updating the stage drift particles as a starting point when the aggregation density difference between the starting point and the stage drift particles is larger than or equal to a preset aggregation density difference, and performing iterative screening according to the preset step length; Stopping screening when the aggregation density difference between the starting point and the stage drift particles is smaller than the preset aggregation density difference, and taking the stage drift particles as target drift particles; Taking the first direction deviation corresponding to the target drift particles as the target first direction deviation of the first direction deviation set; And carrying out mean shift screening on the Q direction deviation clusters and the Q vehicle running average speed clusters to determine Q target direction deviation sets and Q target vehicle running average speed sets.
5. The shipping delivery optimization system in combination with a two-dimensional analysis of claim 2, wherein the step performed by the two-dimensional window analysis module further comprises: data mining is carried out by taking the direction deviation, the running speed and the transportation path reliability factor as indexes, and a plurality of sample direction deviation sets, a plurality of sample vehicle running average speed sets and a plurality of sample path reliability factor sets are generated; constructing training data based on the multiple sample direction deviation sets, the multiple sample vehicle running average speed sets and the multiple sample path reliability factor sets, and performing supervised training on a framework constructed by the convolutional neural network layer by utilizing the training data until the model converges to obtain a path reliability analysis network layer after training is completed; And carrying out path reliability analysis on the Q target direction deviation sets and the Q target vehicle running average speed sets by using the reliability analysis network layer, and generating the Q transportation path reliability factor sets.
6. The shipping delivery optimization system in combination with two-dimensional analysis of claim 1, wherein the medical transportation mission comprises M shipping medical station distribution points and M medical volumes, and the headquarter logistics vehicle resource information comprises K invoiceable logistics vehicles.
7. The shipping distribution optimization system in combination with two-dimensional analysis of claim 6, wherein the distribution scheme optimization module performs steps further comprising: Performing cost evaluation on the initial logistics distribution scheme according to the Q transportation cost sets to obtain initial logistics cost; analyzing based on the initial logistics cost and a preset logistics cost threshold value, determining a first fine tuning scale, and carrying out transportation path adjustment on the initial logistics distribution scheme according to the first fine tuning scale to obtain a first fine tuning logistics distribution scheme; Judging whether the scheme reliability of the first fine-tuning logistics distribution scheme meets the minimum scheme reliability, if so, rejecting the first fine-tuning logistics distribution scheme, and carrying out transportation path adjustment on the initial logistics distribution scheme again according to the first fine-tuning scale to obtain a second fine-tuning logistics distribution scheme; And performing double-term optimization on the initial logistics distribution scheme according to the second fine-tuning logistics distribution scheme until the preset iteration times are met, so as to obtain the target logistics distribution scheme.
8. The shipping distribution optimization system in combination with two-dimensional analysis of claim 7, wherein the distribution scheme optimization module performs steps further comprising: when the scheme reliability of the second fine-tuning logistics distribution scheme meets the minimum scheme reliability, acquiring a second stream cost of the second fine-tuning logistics distribution scheme; and judging whether the second stream cost is smaller than or equal to the initial stream cost, if so, taking the second fine-tuning logistics distribution scheme as a fine-tuning object, and performing double-term optimization until the preset iteration times are met, so as to obtain the target logistics distribution scheme.

Description

Transport delivery optimization system combining two-dimensional analysis Technical Field The invention relates to the technical field of logistics management, in particular to a transportation distribution optimization system combining two-dimensional analysis. Background In the field of modern medicine logistics, with the increasing types and demands of medicine products, medicine logistics face complex and variable challenges. Particularly, when a large-scale pharmaceutical company headquarters needs to perform pharmaceutical distribution to a plurality of branch offices in an area, it is necessary to comprehensively consider the timeliness of the medicines, the transportation conditions, and the optimal utilization of the logistic resources. Conventional medicine logistics management modes are difficult to cope with these complex demands, and a dynamic and efficient logistics control system is needed to improve logistics efficiency and reliability. Disclosure of Invention The application provides a transportation distribution optimization system combining two-dimensional analysis, which is used for solving the technical problem that the timeliness, transportation conditions and logistics resources of medicines are difficult to comprehensively consider in the prior art to carry out medicine logistics distribution. In view of the foregoing, the present application provides a shipping delivery optimization system that incorporates two-dimensional analysis. The present application provides a shipping delivery optimization system incorporating two-dimensional analysis, the system comprising: The system comprises a position identification module, a data acquisition module and a data processing module, wherein the position identification module is used for carrying out position identification on a plurality of medical stations in a target area and constructing a station distribution network, and the station distribution network comprises Q medical station distribution points; the system comprises a distribution point acquisition module, a delivery scheme generation module, a delivery scheme optimization module, a delivery scheme generation module, a delivery scheme optimization module, a delivery scheme generation module and a delivery scheme optimization module, wherein the distribution point acquisition module acquires a distribution point of a medical logistics headquarter, the distribution point acquisition module acquires a distribution point of the medical logistics headquarter, the distribution point is combined with Q medical station distribution points of the site distribution network to construct a logistics topology transportation network, the logistics topology transportation network comprises a headquarter topology node, Q medical station distribution points and Q transportation path sets, the transportation record acquisition module acquires transportation records of the logistics topology transportation network in a preset transportation time period, and acquires Q transportation record clusters of the Q transportation path sets, each transportation record cluster comprises a plurality of transportation record sets of the transportation paths in the transportation path sets, the two-dimensional window analysis module performs two-dimensional window analysis on the Q transportation record clusters to determine Q transportation path reliability factor sets of the Q transportation path sets, the delivery scheme generation module acquires medical transportation tasks of the current window and the transportation vehicle resource information of the headquarter, the transportation scheme is combined with the Q transportation path reliability factor sets to identify an initial logistics distribution scheme, the delivery scheme is acquired, the delivery scheme is optimized, and the delivery scheme is combined with the two-item optimization scheme is combined with the transportation scheme to acquire the initial distribution scheme, the two items are optimized to reduce the transportation cost and improve the transportation reliability. The technical scheme provided by the application has at least the following technical effects or advantages: The method comprises the steps of carrying out position identification on a plurality of medical stations in a target area to construct a station distribution network, wherein the station distribution network comprises Q medical station distribution points, obtaining distribution points of a medical logistics headquarter, combining the Q medical station distribution points of the station distribution network to construct a logistics topology transportation network, wherein the logistics topology transportation network comprises a headquarter topology node, Q medical station distribution points and Q transportation path sets, taking transportation records of the logistics topology transportation network in a preset transportation time period to obtain Q transportatio