Logistics supply digital management system and method based on cloud platform

Abstract

The invention discloses a logistics supply digital management system and method based on a cloud platform, and relates to the technical field of cloud platform logistics management.The method comprises the steps that current goods logistics information is obtained through the cloud platform, a logistics information form is constructed based on the logistics information, and a corresponding information matrix is constructed based on goods; based on the goods logistics transportation position information in combination with a historical regional logistics transportation line network, obtaining logistics transfer stations in the corresponding region; performing periodic state evaluation on each logistics transfer station; performing traversal generation on a current goods transportation route according to historical data in combination with the current goods logistics transportation position; carrying out efficiency screening on each transportation route in the route set based on a goods transportation period, carrying out transportation route offset evaluation on each transportation route, and outputting an optimal transportation route of the period based on an evaluation result; and outputting the corresponding goods information and the optimal transportation route of the corresponding period, and feeding back the periodic state data of the corresponding transportation transfer station in real time.

Description

Technical Field

[0001] The present invention relates to the field of cloud platform logistics management, and in particular to a cloud platform-based logistics supply digital management system and method. Background Art

[0002] Digital logistics supply management based on cloud platforms is a new management model that uses cloud computing, big data, artificial intelligence and other advanced technologies to digitize and intelligently transform and upgrade the entire supply chain. It integrates all links of the supply chain to achieve information sharing and intelligent decision-making, thereby improving the overall efficiency and competitiveness of the supply chain.

[0003] Logistics and transportation, as an especially important part of the logistics supply chain, has been an indispensable part of social development since ancient times. It is closely related to social progress and technological development. Traditional logistics and transportation are more about point-to-point transportation throughout the entire process through manual experience. However, in the current environment of booming logistics, this model can no longer adapt and its efficiency is relatively low. Therefore, a new logistics and transportation model with multiple transfer points and multiple threads has replaced the traditional model. However, this model still has defects in the current environment. Although it has made the point-to-point transportation segments more refined and efficient through multiple transfers, it still relies more on experience models and cannot combine the real-time status of transfer stations for effective route planning, which will lead to uneven operation of stations, waste of station resources and low intelligence of transportation planning. Summary of the invention

[0004] The purpose of the present invention is to provide a digital logistics supply management system and method based on a cloud platform to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A digital management method for logistics supply based on a cloud platform, the method comprising the following steps:

[0007] S100, obtaining the logistics information of the current batch of goods through the cloud platform information port, constructing a logistics information form of the corresponding batch of goods based on the retrieved logistics information of the goods, and constructing a corresponding information matrix based on the information of each product;

[0008] S200, based on the logistics transportation location information in each commodity information matrix combined with the historical regional logistics transportation route network, obtain the logistics transfer site in the corresponding area; perform a periodic status evaluation on each logistics transfer site, and hierarchically divide each logistics transfer site according to the evaluation results;

[0009] S300, traverse and generate the current transportation routes of each product according to the historical regional transit station path generation records combined with the current logistics transportation location information of each product, and construct a route set; screen the efficiency of each transportation route in the route set based on the product transportation cycle, and evaluate the transportation route bias of each transportation route based on the screening data, and output the optimal transportation route for the cycle based on the evaluation results;

[0010] S400, outputting corresponding product information and the optimal transportation route for the corresponding period, and providing real-time feedback on the periodic status data of the corresponding transportation transfer station.

[0011] The specific steps of S100 obtaining the logistics information of the current batch of goods through the cloud platform information port, constructing the logistics information form of the corresponding batch of goods based on the retrieved goods logistics information, and constructing the corresponding information matrix based on the information of each product are as follows:

[0012] S101. Obtain the current logistics status of each batch of goods by logging into the logistics information management port of the corresponding regional cloud platform; retrieve information on the goods in the pre-transportation batch; the logistics status of the goods includes completed transportation, in transportation, pre-transportation and not transported;

[0013] S102. Based on the retrieved pre-transportation batch goods information, the logistics information of each product is coordinated to generate a logistics information form corresponding to the current batch of goods information by planning the corresponding logistics data column, and the logistics information matrix of each product is constructed according to the logistics information table; wherein the logistics information matrix of each product is an integrated construction of the logistics information corresponding to each independent product in the logistics information form; the logistics information of the goods includes the starting position, end position and transportation cycle information of the goods transportation;.

[0014] The S200 obtains the logistics transfer sites in the corresponding area based on the logistics transportation location information in each commodity information matrix and the historical regional logistics transportation route network; performs a periodic status evaluation on each logistics transfer site, and hierarchically divides each logistics transfer site according to the evaluation results. The specific steps are as follows:

[0015] S201. Based on the transportation location information of each product in the current batch, the transportation start and end location information of each product is obtained; in combination with the regional logistics transportation site distribution network, the transportation logistics transfer sites between the two historical points are marked with the starting and ending points of each product as restriction conditions, and the adjacent historical cycle status data of each marked logistics transfer site is obtained; wherein the adjacent historical cycle status data is obtained by taking the data acquisition time as a reference and the product transportation cycle as the cycle length, and the cycle data of the historical data closest to the current time is obtained;

[0016] S202: Based on the marked adjacent historical cycle status data of each logistics transfer station, the adjacent historical cycle status data of each logistics transfer station is evaluated for cycle status, and the calculation formula is:

[0017]

[0018] Among them, Dr(n) is the periodic backlog rate of the logistics transfer station with label number n in the corresponding period; M(D,n) is the maximum backlog quantity of the logistics transfer station with label number n in the corresponding period; M(n) is the maximum storage quantity of the logistics transfer station with label number n; Er(n) is the periodic transfer rate of the logistics transfer station with label number n in the corresponding period; M(E,n) is the total transfer quantity of the logistics transfer station with label number n in the corresponding period; M(A,n) is the total storage quantity of the logistics transfer station with label number n in the corresponding period; the maximum backlog quantity is the maximum number of untransported goods of the corresponding logistics transfer station in the corresponding period; the total transfer quantity is the cumulative quantity of transported goods of the corresponding logistics transfer station in the corresponding period; the total storage quantity is the cumulative quantity of stored goods of the corresponding logistics transfer station in the corresponding period;

[0019] Based on the analysis data of the periodic cargo backlog rate and cargo transfer rate of each logistics transit station, a comprehensive evaluation and analysis of the periodic operation status of each logistics transit station is conducted. The calculation formula is:

[0020]

[0021] Among them, Ov(n) is the comprehensive evaluation value of the periodic operation status of the logistics transfer station with label number n in the corresponding period; ave[Dr(n)] and ave[Er(n)] correspond to the historical average cargo delay rate and cargo transfer rate of the logistics transfer station with label number n respectively;

[0022] Based on the comprehensive evaluation data of the periodic operation status of each logistics transfer station within the cycle, the status comparison parameters Ov(α) and Ov(β) are set; if Ov(n)>Ov(β), the corresponding logistics transfer station is judged to be in good condition; if Ov(α)≤Ov(n)≤Ov(β), the corresponding logistics transfer station is judged to be in normal condition; if Ov(n)<Ov(α), the corresponding logistics transfer station is judged to be in congestion condition.

[0023] The S300 traverses and generates the current transportation routes of each product according to the historical regional transit station path generation record combined with the current logistics transportation location information of each product, and constructs a route set; based on the product transportation cycle, the efficiency of each transportation route in the route set is screened, and the transportation route bias evaluation is performed on each transportation route according to the screening data. The specific steps of outputting the optimal transportation route for the cycle based on the evaluation result are as follows:

[0024] S301, combining historical regional logistics and transportation network data, taking the current logistics and transportation start and end positions of each product as the key data for retrieval, traversing the historical transportation routes in the historical regional logistics and transportation route network, taking the traversed historical transportation routes as the reference transportation routes for the current corresponding products, and constructing a reference transportation route set;

[0025] Based on the set of control transport routes, the current corresponding goods transportation cycle is used as the screening condition to perform cycle screening on each control transport route in the set; the transportation time of each control transport route is analyzed respectively, and the analysis and calculation is as follows:

[0026]

[0027] Among them, t(i) is the predicted transportation time of the control transportation route with label i; s(i) is the total distance of the control transportation route with label i; ave(v) is the average transportation speed of the goods with reference to historical data; L, C, and Y correspond to the cycle states of good, normal, and congested logistics transfer points respectively; h(j,i) is the goods transfer time of the logistics transfer station with status j in the control transportation route with label i; z(j,i) is the number of logistics transfer stations with status j in the control transportation route with label i; among them, the value of j is L, C, and Y;

[0028] S302, analyzing the predicted transportation time of each reference transportation route, and screening each reference transportation route in combination with the transportation cycle of the corresponding goods; if t(i)>T, it is determined that the current reference transportation route does not meet the transportation requirements and is screened out; if t(i)≤T, the current reference transportation route is retained; according to the screening operation, the reference transportation route reserved for the corresponding goods is obtained, and a pre-transportation route set is constructed; wherein T is the transportation cycle duration of the corresponding goods;

[0029] According to the control transport routes in the pre-transportation route set of the corresponding goods, the cycle state operation evaluation data of each logistics transfer station on each control transport route, the route transportation time efficiency and the location distribution of each station are comprehensively considered to analyze the transportation state bias of each control transport route. The calculation formula is:

[0030]

[0031] Among them, Ts(p) is the transportation state bias analysis value of the control transportation route with label p in the corresponding pre-transportation route set; t(p) is the predicted transportation time of the control transportation route with label p in the corresponding pre-transportation route set; Ov(n,p) is the comprehensive evaluation value of the periodic operation state of the logistics transfer station with label n on the control transportation route with label p in the corresponding pre-transportation route set; k(j,n,p) is the state parameter of the logistics transfer station with label n on the control transportation route with label p in the corresponding pre-transportation route set corresponding to state j; Q[(x,y) n →(x,y)0] and Q[(x,y) n →(x,y)1] are the coordinates (x,y) respectively n The coordinate distance from coordinate (x,y)0 and coordinate (x,y) n The coordinate distance from the coordinate (x,y)1; where (x,y) n is the coordinates of the logistics transfer site labeled with p in the pre-transportation route set and labeled with n on the transportation route; (x, y)0 and (x, y)1 correspond to the coordinates of the starting point and the end point of the transportation of the goods respectively;

[0032] According to the transportation status bias analysis data of each comparison transportation route in the pre-transportation route set, the comparison transportation route corresponding to the maximum transportation status bias analysis value is the optimal transportation route for the current corresponding goods.

[0033] The specific steps of outputting the corresponding product information and the corresponding optimal transportation route for the period, and providing real-time feedback of the period status data of the corresponding transportation transfer station are as follows:

[0034] S401, outputting corresponding product information and the optimal transportation route of the corresponding period through the cloud platform display terminal, and performing transportation planning according to the route;

[0035] S402. Real-time annotation and display of the comprehensive evaluation data of the cycle operation status of each logistics transfer station in the optimal transportation route of the goods cycle.

[0036] A digital logistics supply management system based on a cloud platform, the system comprising a goods information processing module, a logistics site status assessment module, a transportation route comprehensive analysis module and a data output module;

[0037] The goods information processing module obtains the logistics information of the current batch of goods through the cloud platform information port, constructs the logistics information form of the corresponding batch of goods based on the retrieved goods logistics information, and constructs the corresponding information matrix based on the information of each goods; the logistics site status evaluation module obtains the logistics transit site in the corresponding area based on the logistics transportation location information in each goods information matrix combined with the historical regional logistics transportation route network; performs a periodic status evaluation on each logistics transit site, and hierarchically divides each logistics transit site according to the evaluation results; the transportation route comprehensive analysis module traverses and generates the current transportation routes of each goods according to the historical regional transit site path generation record combined with the current logistics transportation location information of each goods information, and constructs a route set; based on the goods transportation cycle, the efficiency of each transportation route in the route set is screened, and the transportation route bias evaluation is performed on each transportation route according to the screening data, and the optimal transportation route for the cycle is output based on the evaluation results; the data output module outputs the corresponding goods information and the optimal transportation route for the corresponding cycle, and provides real-time feedback on the periodic status data of the corresponding transportation transit site.

[0038] The product information processing module includes a product information retrieval unit and a product information processing unit;

[0039] The product information retrieval unit obtains the current logistics status of each batch of goods by logging into the logistics information management port of the corresponding regional cloud platform; and retrieves information on the goods in the pre-transportation batch;

[0040] The goods information processing unit, based on the retrieved pre-transportation batch goods information, coordinates the logistics information of each goods by planning the corresponding logistics data column to generate a logistics information form corresponding to the current batch of goods information, and constructs a logistics information matrix for each goods according to the logistics information table.

[0041] The logistics site status assessment module includes a logistics site acquisition unit and a logistics site periodic data assessment unit;

[0042] The logistics site acquisition unit acquires the transportation start and end location information of each product based on the transportation location information of each product in the current batch; combines the regional logistics transportation site distribution network, takes the logistics transportation start and end of each product as the restriction condition, marks the transportation logistics transfer sites between the two historical points, and acquires the adjacent historical cycle status data of each marked logistics transfer site;

[0043] The logistics site cycle data evaluation unit performs cycle status evaluation on the adjacent historical cycle status data of each logistics transit site based on the marked adjacent historical cycle status data of each logistics transit site; performs comprehensive evaluation and analysis on the cycle operation status of each logistics transit site based on the cycle backlog rate and transfer rate analysis data within the cycle of each logistics transit site; and judges the current cycle operation status of each logistics transit station by setting status comparison parameters based on the comprehensive evaluation data of the cycle operation status of each logistics transit station within the cycle.

[0044] The transport route comprehensive analysis module includes a transport route planning unit and a transport route comprehensive analysis unit;

[0045] The transport route planning unit combines the historical regional logistics transport network data, takes the current logistics transport start and end positions of each product as the key data for retrieval, traverses the historical transport routes in the historical regional logistics transport route network, takes the traversed historical transport routes as the reference transport routes of the current corresponding products, and constructs a reference transport route set; based on the reference transport route set, takes the current corresponding product transport cycle as the screening condition, performs period screening on each reference transport route in the set; and analyzes the transport time of each reference transport route respectively;

[0046] The transport route comprehensive analysis unit screens each control transport route based on the predicted transport time analysis data of each control transport route and the transport cycle of the corresponding goods; obtains the control transport routes reserved for the corresponding goods according to the screening operation, and constructs a pre-transport route set; performs transport state bias analysis on each control transport route based on the cycle state operation evaluation data of each logistics transfer station on each control transport route and the route transport time efficiency and the location distribution of each station; and uses the transport state bias analysis data of each control transport route in the pre-transport route set to determine the control transport route corresponding to the maximum value of the transport state bias analysis value as the optimal transport route for the current corresponding goods.

[0047] The data output module includes a route output unit and a site status feedback unit;

[0048] The route output unit outputs the corresponding product information and the optimal transportation route for the corresponding period through the cloud platform display terminal, and performs transportation planning according to the route;

[0049] The station status feedback unit displays in real time the comprehensive evaluation data of the periodic operation status of each logistics transfer station in the optimal transportation route of the goods period.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] The present invention realizes data supervision of regional logistics network through cloud platform, and realizes intelligent planning of logistics transportation by analyzing and calculating data in the process of logistics transportation through cloud computing; the present invention retrieves the information of goods and retrieves the information of regional logistics transit stations through restriction conditions, comprehensively analyzes the periodic status of each transit station, generates regional transportation routes through historical data traversal, and screens routes according to the transportation cycle of goods; based on the screening results, a comprehensive transportation status bias analysis is performed on the remaining routes, and the optimal transportation route corresponding to the goods cycle is output based on the analysis data; based on the mode of combining historical transportation experience data, the present invention uses the cloud platform to supervise the data status of the whole process sites of logistics, and performs effective route planning in combination with the site status, which improves the situation of excessive reliance on experience in the transportation process in the current environment and improves the autonomous intelligence of the transportation supply chain. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a structural schematic diagram of a cloud platform-based digital logistics supply management system of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Example: Figure 1 As shown, the present invention provides a technical solution:

[0055] A digital management method for logistics supply based on a cloud platform, the method comprising the following steps:

[0056] S100, obtaining the logistics information of the current batch of goods through the cloud platform information port, constructing a logistics information form of the corresponding batch of goods based on the retrieved logistics information of the goods, and constructing a corresponding information matrix based on the information of each product;

[0057] S200, based on the logistics transportation location information in each commodity information matrix combined with the historical regional logistics transportation route network, obtain the logistics transfer site in the corresponding area; perform a periodic status evaluation on each logistics transfer site, and hierarchically divide each logistics transfer site according to the evaluation results;

[0058] S300, traverse and generate the current transportation routes of each product according to the historical regional transit station path generation records combined with the current logistics transportation location information of each product, and construct a route set; screen the efficiency of each transportation route in the route set based on the product transportation cycle, and evaluate the transportation route bias of each transportation route based on the screening data, and output the optimal transportation route for the cycle based on the evaluation results;

[0059] S400, outputting corresponding product information and the optimal transportation route for the corresponding period, and providing real-time feedback on the periodic status data of the corresponding transportation transfer station.

[0060] The specific steps of S100 obtaining the logistics information of the current batch of goods through the cloud platform information port, constructing the logistics information form of the corresponding batch of goods based on the retrieved goods logistics information, and constructing the corresponding information matrix based on the information of each product are as follows:

[0061] S101. Obtain the current logistics status of each batch of goods by logging into the logistics information management port of the corresponding regional cloud platform; retrieve information on the goods in the pre-transportation batch;

[0062] S102. Based on the retrieved pre-transportation batch goods information, the logistics information of each product is coordinated to generate a logistics information form corresponding to the information of each product in the current batch by planning the corresponding logistics data column, and the logistics information matrix of each product is constructed according to the logistics information table.

[0063] The S200 obtains the logistics transfer sites in the corresponding area based on the logistics transportation location information in each commodity information matrix and the historical regional logistics transportation route network; performs a periodic status evaluation on each logistics transfer site, and hierarchically divides each logistics transfer site according to the evaluation results. The specific steps are as follows:

[0064] S201. Based on the transportation location information of each product in the current batch, obtain the transportation start and end location information of each product; combine the regional logistics transportation site distribution network, take the logistics transportation start and end of each product as the restriction condition, mark the transportation logistics transfer site between the two historical points, and obtain the corresponding adjacent historical cycle status data of each marked logistics transfer site;

[0065] S202: Based on the marked adjacent historical cycle status data of each logistics transfer station, the adjacent historical cycle status data of each logistics transfer station is evaluated for cycle status, and the calculation formula is:

[0066]

[0067] Among them, Dr(n) is the periodic backlog rate of the logistics transfer station with label number n in the corresponding period; M(D,n) is the maximum backlog quantity of the logistics transfer station with label number n in the corresponding period; M(n) is the maximum storage quantity of the logistics transfer station with label number n; Er(n) is the periodic transfer rate of the logistics transfer station with label number n in the corresponding period; M(E,n) is the total transfer volume of the logistics transfer station with label number n in the corresponding period; M(A,n) is the total storage volume of the logistics transfer station with label number n in the corresponding period;

[0068] Based on the analysis data of the periodic cargo backlog rate and cargo transfer rate of each logistics transit station, a comprehensive evaluation and analysis of the periodic operation status of each logistics transit station is conducted. The calculation formula is:

[0069]

[0070] Among them, Ov(n) is the comprehensive evaluation value of the periodic operation status of the logistics transfer station with label number n in the corresponding period; ave[Dr(n)] and ave[Er(n)] correspond to the historical average cargo delay rate and cargo transfer rate of the logistics transfer station with label number n respectively;

[0071] Based on the comprehensive evaluation data of the periodic operation status of each logistics transfer station within the cycle, the status comparison parameters Ov(α) and Ov(β) are set; if Ov(n)>Ov(β), the corresponding logistics transfer station is judged to be in good condition; if Ov(α)≤Ov(n)≤Ov(β), the corresponding logistics transfer station is judged to be in normal condition; if Ov(n)<Ov(α), the corresponding logistics transfer station is judged to be in congestion condition.

[0072] The S300 traverses and generates the current transportation routes of each product according to the historical regional transit station path generation record combined with the current logistics transportation location information of each product, and constructs a route set; based on the product transportation cycle, the efficiency of each transportation route in the route set is screened, and the transportation route bias evaluation is performed on each transportation route according to the screening data. The specific steps of outputting the optimal transportation route for the cycle based on the evaluation result are as follows:

[0073] S301, combining historical regional logistics and transportation network data, taking the current logistics and transportation start and end positions of each product as the key data for retrieval, traversing the historical transportation routes in the historical regional logistics and transportation route network, taking the traversed historical transportation routes as the reference transportation routes for the current corresponding products, and constructing a reference transportation route set;

[0074] Based on the set of control transport routes, the current corresponding goods transportation cycle is used as the screening condition to perform cycle screening on each control transport route in the set; the transportation time of each control transport route is analyzed respectively, and the analysis and calculation is as follows:

[0075]

[0076] Among them, t(i) is the predicted transportation time of the control transportation route with label i; s(i) is the total distance of the control transportation route with label i; ave(v) is the average transportation speed of the goods with reference to historical data; L, C, and Y correspond to the cycle states of good, normal, and congested logistics transfer points respectively; h(j,i) is the goods transfer time of the logistics transfer station with status j in the control transportation route with label i; z(j,i) is the number of logistics transfer stations with status j in the control transportation route with label i; among them, the value of j is L, C, and Y;

[0077] S302, analyzing the predicted transportation time of each reference transportation route, and screening each reference transportation route in combination with the transportation cycle of the corresponding goods; if t(i)>T, it is determined that the current reference transportation route does not meet the transportation requirements and is screened out; if t(i)≤T, the current reference transportation route is retained; according to the screening operation, the reference transportation route reserved for the corresponding goods is obtained, and a pre-transportation route set is constructed; wherein T is the transportation cycle duration of the corresponding goods;

[0078] According to the control transport routes in the pre-transportation route set of the corresponding goods, the cycle state operation evaluation data of each logistics transfer station on each control transport route, the route transportation time efficiency and the location distribution of each station are comprehensively considered to analyze the transportation state bias of each control transport route. The calculation formula is:

[0079]

[0080] Among them, Ts(p) is the transportation state bias analysis value of the control transportation route with label p in the corresponding pre-transportation route set; t(p) is the predicted transportation time of the control transportation route with label p in the corresponding pre-transportation route set; Ov(n,p) is the comprehensive evaluation value of the periodic operation state of the logistics transfer station with label n on the control transportation route with label p in the corresponding pre-transportation route set; k(j,n,p) is the state parameter of the logistics transfer station with label n on the control transportation route with label p in the corresponding pre-transportation route set corresponding to state j; Q[(x,y) n →(x,y)0] and Q[(x,y) n →(x,y)1] are the coordinates (x,y) respectively n The coordinate distance from coordinate (x,y)0 and coordinate (x,y) n The coordinate distance from the coordinate (x,y)1; where (x,y) nis the coordinates of the logistics transfer site labeled with p in the pre-transportation route set and labeled with n on the transportation route; (x, y)0 and (x, y)1 correspond to the coordinates of the starting point and the end point of the transportation of the goods respectively;

[0081] According to the transportation status bias analysis data of each comparison transportation route in the pre-transportation route set, the comparison transportation route corresponding to the maximum transportation status bias analysis value is the optimal transportation route for the current corresponding goods.

[0082] The specific steps of outputting the corresponding product information and the corresponding optimal transportation route for the period, and providing real-time feedback of the period status data of the corresponding transportation transfer station are as follows:

[0083] S401, outputting corresponding product information and the optimal transportation route of the corresponding period through the cloud platform display terminal, and performing transportation planning according to the route;

[0084] S402. Real-time annotation and display of the comprehensive evaluation data of the cycle operation status of each logistics transfer station in the optimal transportation route of the goods cycle.

[0085] A digital logistics supply management system based on a cloud platform, the system comprising a goods information processing module, a logistics site status assessment module, a transportation route comprehensive analysis module and a data output module;

[0086] The goods information processing module obtains the logistics information of the current batch of goods through the cloud platform information port, constructs the logistics information form of the corresponding batch of goods based on the retrieved goods logistics information, and constructs the corresponding information matrix based on the information of each goods; the logistics site status evaluation module obtains the logistics transit site in the corresponding area based on the logistics transportation location information in each goods information matrix combined with the historical regional logistics transportation route network; performs a periodic status evaluation on each logistics transit site, and hierarchically divides each logistics transit site according to the evaluation results; the transportation route comprehensive analysis module traverses and generates the current transportation routes of each goods according to the historical regional transit site path generation record combined with the current logistics transportation location information of each goods information, and constructs a route set; based on the goods transportation cycle, the efficiency of each transportation route in the route set is screened, and the transportation route bias evaluation is performed on each transportation route according to the screening data, and the optimal transportation route for the cycle is output based on the evaluation results; the data output module outputs the corresponding goods information and the optimal transportation route for the corresponding cycle, and provides real-time feedback on the periodic status data of the corresponding transportation transit site.

[0087] The product information processing module includes a product information retrieval unit and a product information processing unit;

[0088] The product information retrieval unit obtains the current logistics status of each batch of goods by logging into the logistics information management port of the corresponding regional cloud platform; and retrieves information on the goods in the pre-transportation batch;

[0089] The goods information processing unit, based on the retrieved pre-transportation batch goods information, coordinates the logistics information of each goods by planning the corresponding logistics data column to generate a logistics information form corresponding to the current batch of goods information, and constructs a logistics information matrix for each goods according to the logistics information table.

[0090] The logistics site status assessment module includes a logistics site acquisition unit and a logistics site periodic data assessment unit;

[0091] The logistics site acquisition unit acquires the transportation start and end location information of each product based on the transportation location information of each product in the current batch; combines the regional logistics transportation site distribution network, takes the logistics transportation start and end of each product as the restriction condition, marks the transportation logistics transfer sites between the two historical points, and acquires the adjacent historical cycle status data of each marked logistics transfer site;

[0092] The logistics site cycle data evaluation unit performs cycle status evaluation on the adjacent historical cycle status data of each logistics transit site based on the marked adjacent historical cycle status data of each logistics transit site; performs comprehensive evaluation and analysis on the cycle operation status of each logistics transit site based on the cycle backlog rate and transfer rate analysis data within the cycle of each logistics transit site; and judges the current cycle operation status of each logistics transit station by setting status comparison parameters based on the comprehensive evaluation data of the cycle operation status of each logistics transit station within the cycle.

[0093] The transport route comprehensive analysis module includes a transport route planning unit and a transport route comprehensive analysis unit;

[0094] The transport route planning unit combines the historical regional logistics transport network data, takes the current logistics transport start and end positions of each product as the key data for retrieval, traverses the historical transport routes in the historical regional logistics transport route network, takes the traversed historical transport routes as the reference transport routes of the current corresponding products, and constructs a reference transport route set; based on the reference transport route set, takes the current corresponding product transport cycle as the screening condition, performs period screening on each reference transport route in the set; and analyzes the transport time of each reference transport route respectively;

[0095] The transport route comprehensive analysis unit screens each control transport route based on the predicted transport time analysis data of each control transport route and the transport cycle of the corresponding goods; obtains the control transport routes reserved for the corresponding goods according to the screening operation, and constructs a pre-transport route set; performs transport state bias analysis on each control transport route based on the cycle state operation evaluation data of each logistics transfer station on each control transport route and the route transport time efficiency and the location distribution of each station; and uses the transport state bias analysis data of each control transport route in the pre-transport route set to determine the control transport route corresponding to the maximum value of the transport state bias analysis value as the optimal transport route for the current corresponding goods.

[0096] The data output module includes a route output unit and a site status feedback unit;

[0097] The route output unit outputs the corresponding product information and the optimal transportation route for the corresponding period through the cloud platform display terminal, and performs transportation planning according to the route;

[0098] The station status feedback unit displays the comprehensive evaluation data of the periodic operation status of each logistics transfer station in the optimal transportation route of the goods period in real time;

[0099] In the example:

[0100] Now a certain logistics and transportation enterprise needs to supervise its logistics and transportation mode, and it adopts the digital logistics supply management system based on the cloud platform of the present invention; it obtains the logistics status of each batch of goods by logging into the logistics information management port of the corresponding regional cloud platform; retrieves information of goods in the pre-transportation batch; based on the retrieved pre-transportation batch goods information, it coordinates the logistics information of each goods by planning the corresponding logistics data column to generate a logistics information form corresponding to the information of each goods in the current batch, and constructs the logistics information matrix of each goods according to the logistics information table;

[0101] Based on the transportation location information of each product in the current batch, the transportation starting and ending location information of each product is obtained; combined with the regional logistics transportation site distribution network, the transportation logistics transfer sites between the two historical points are marked with the starting and ending points of each product logistics transportation as the restriction conditions, and the adjacent historical cycle status data of each marked logistics transfer site is obtained; based on the adjacent historical cycle status data of each marked logistics transfer site, the adjacent historical cycle status data of each logistics transfer site is evaluated for the cycle status, and the calculation formula is:

[0102]

[0103] Based on the analysis data of the periodic cargo backlog rate and cargo transfer rate of each logistics transit station, a comprehensive evaluation and analysis of the periodic operation status of each logistics transit station is conducted. The calculation formula is:

[0104]

[0105] Based on the comprehensive evaluation data of the periodic operation status of each logistics transfer station within the period, by setting the status comparison parameters Ov(α) and Ov(β); if Ov(n)>Ov(β), the corresponding logistics transfer station is judged to be in good condition; if Ov(α)≤Ov(n)≤Ov(β), the corresponding logistics transfer station is judged to be in normal condition; if Ov(n)<Ov(α), the corresponding logistics transfer station is judged to be in congestion condition;

[0106] Combined with the historical regional logistics and transportation network data, the starting and ending locations of the current logistics and transportation of each product are used as the key data for retrieval. The historical transportation routes are traversed in the historical regional logistics and transportation route network. The traversed historical transportation routes are used as the reference transportation routes for the current corresponding products, and a reference transportation route set is constructed.

[0107] Based on the set of control transport routes, the current corresponding goods transportation cycle is used as the screening condition to perform cycle screening on each control transport route in the set; the transportation time of each control transport route is analyzed respectively, and the analysis and calculation is as follows:

[0108]

[0109] According to the predicted transportation time analysis data of each control transportation route, each control transportation route is screened in combination with the transportation cycle of the corresponding goods; if t(i)>T, it is judged that the current control transportation route does not meet the transportation requirements and is screened out; if t(i)≤T, the current control transportation route is retained; according to the screening operation, the control transportation routes reserved for the corresponding goods are obtained, and a pre-transportation route set is constructed; where T is the transportation cycle duration of the corresponding goods;

[0110] According to the control transport routes in the pre-transportation route set of the corresponding goods, the cycle state operation evaluation data of each logistics transfer station on each control transport route, the route transportation time efficiency and the location distribution of each station are comprehensively considered to analyze the transportation state bias of each control transport route. The calculation formula is:

[0111]

[0112] According to the transportation status bias analysis data of each control transportation route in the pre-transportation route set, the control transportation route corresponding to the maximum value of the transportation status bias analysis value is the current optimal transportation route for the corresponding goods; the corresponding goods information and the corresponding optimal transportation route for the cycle are output through the cloud platform display terminal, and transportation planning is carried out according to the route; the comprehensive evaluation data of the cycle operation status of each logistics transfer station in the goods cycle optimal transportation route is marked and displayed in real time.

[0113] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A digital management method for logistics supply based on a cloud platform, characterized by: The method comprises the following steps: S100, obtaining the logistics information of the current batch of goods through the cloud platform information port, constructing a logistics information form of the corresponding batch of goods based on the retrieved logistics information of the goods, and constructing a corresponding information matrix based on the information of each product; S200, based on the logistics transportation location information in each commodity information matrix combined with the historical regional logistics transportation route network, obtain the logistics transfer site in the corresponding area; perform a periodic status evaluation on each logistics transfer site, and hierarchically divide each logistics transfer site according to the evaluation results; S300, traverse and generate the current transportation routes of each product according to the historical regional transit station path generation records combined with the current logistics transportation location information of each product, and construct a route set; screen the efficiency of each transportation route in the route set based on the product transportation cycle, and evaluate the transportation route bias of each transportation route based on the screening data, and output the optimal transportation route for the cycle based on the evaluation results; S400, outputting corresponding product information and the optimal transportation route for the corresponding period, and providing real-time feedback on the periodic status data of the corresponding transportation transfer station.

2. According to the cloud platform-based digital logistics supply management method of claim 1, it is characterized by: The specific steps of S100 obtaining the logistics information of the current batch of goods through the cloud platform information port, constructing the logistics information form of the corresponding batch of goods based on the retrieved goods logistics information, and constructing the corresponding information matrix based on the information of each product are as follows: S101. Obtain the current logistics status of each batch of goods by logging into the logistics information management port of the corresponding regional cloud platform; retrieve information on the goods in the pre-transportation batch; S102. Based on the retrieved pre-transportation batch goods information, the logistics information of each product is coordinated to generate a logistics information form corresponding to the information of each product in the current batch by planning the corresponding logistics data column, and the logistics information matrix of each product is constructed according to the logistics information table.

3. According to the cloud platform-based digital logistics supply management method of claim 2, it is characterized by: The S200 obtains the logistics transfer sites in the corresponding area based on the logistics transportation location information in each commodity information matrix and the historical regional logistics transportation route network; performs a periodic status evaluation on each logistics transfer site, and hierarchically divides each logistics transfer site according to the evaluation results. The specific steps are as follows: S201. Based on the transportation location information of each product in the current batch, obtain the transportation start and end location information of each product; combine the regional logistics transportation site distribution network, take the logistics transportation start and end of each product as the restriction condition, mark the transportation logistics transfer site between the two historical points, and obtain the corresponding adjacent historical cycle status data of each marked logistics transfer site; S202: Based on the marked adjacent historical cycle status data of each logistics transfer station, the adjacent historical cycle status data of each logistics transfer station is evaluated for cycle status, and the calculation formula is: Among them, Dr(n) is the periodic backlog rate of the logistics transfer station with label number n in the corresponding period; M(D,n) is the maximum backlog quantity of the logistics transfer station with label number n in the corresponding period; M(n) is the maximum storage quantity of the logistics transfer station with label number n; Er(n) is the periodic transfer rate of the logistics transfer station with label number n in the corresponding period; M(E,n) is the total transfer volume of the logistics transfer station with label number n in the corresponding period; M(A,n) is the total storage volume of the logistics transfer station with label number n in the corresponding period; Based on the analysis data of the periodic cargo backlog rate and cargo transfer rate of each logistics transit station, a comprehensive evaluation and analysis of the periodic operation status of each logistics transit station is conducted. The calculation formula is: Among them, Ov(n) is the comprehensive evaluation value of the periodic operation status of the logistics transfer station with label number n in the corresponding period; ave[Dr(n)] and ave[Er(n)] correspond to the historical average cargo delay rate and cargo transfer rate of the logistics transfer station with label number n respectively; Based on the comprehensive evaluation data of the periodic operation status of each logistics transfer station within the cycle, the status comparison parameters Ov(α) and Ov(β) are set; if Ov(n)>Ov(β), the corresponding logistics transfer station is judged to be in good condition; if Ov(α)≤Ov(n)≤Ov(β), the corresponding logistics transfer station is judged to be in normal condition; if Ov(n)<Ov(α), the corresponding logistics transfer station is judged to be in congestion condition.

4. According to the cloud platform-based digital logistics supply management method of claim 3, it is characterized by: The S300 traverses and generates the current transportation routes of each product according to the historical regional transit station path generation record combined with the current logistics transportation location information of each product, and constructs a route set; based on the product transportation cycle, the efficiency of each transportation route in the route set is screened, and the transportation route bias evaluation is performed on each transportation route according to the screening data. The specific steps of outputting the optimal transportation route for the cycle based on the evaluation result are as follows: S301, combining historical regional logistics and transportation network data, taking the current logistics and transportation start and end positions of each product as the key data for retrieval, traversing the historical transportation routes in the historical regional logistics and transportation route network, taking the traversed historical transportation routes as the reference transportation routes for the current corresponding products, and constructing a reference transportation route set; Based on the set of reference transport routes, the current corresponding goods transport cycle is used as the screening condition to perform period screening on each reference transport route in the set; The transportation time of each control transportation route is analyzed separately, and the analysis and calculation are as follows: Among them, t(i) is the predicted transportation time of the control transportation route with label i; s(i) is the total distance of the control transportation route with label i; ave(v) is the average transportation speed of the goods with reference to historical data; L, C, and Y correspond to the cycle states of good, normal, and congested logistics transfer points respectively; h(j,i) is the goods transfer time of the logistics transfer station with status j in the control transportation route with label i; z(j,i) is the number of logistics transfer stations with status j in the control transportation route with label i; among them, the value of j is L, C, and Y; S302, analyzing the predicted transportation time of each reference transportation route, and screening each reference transportation route in combination with the transportation cycle of the corresponding goods; if t(i)>T, it is determined that the current reference transportation route does not meet the transportation requirements and is screened out; if t(i)≤T, the current reference transportation route is retained; according to the screening operation, the reference transportation route reserved for the corresponding goods is obtained, and a pre-transportation route set is constructed; wherein T is the transportation cycle duration of the corresponding goods; According to the control transport routes in the pre-transportation route set of the corresponding goods, the cycle state operation evaluation data of each logistics transfer station on each control transport route, the route transportation time efficiency and the location distribution of each station are comprehensively considered to analyze the transportation state bias of each control transport route. The calculation formula is: Among them, Ts(p) is the transportation state bias analysis value of the control transportation route with label p in the corresponding pre-transportation route set; t(p) is the predicted transportation time of the control transportation route with label p in the corresponding pre-transportation route set; Ov(n,p) is the comprehensive evaluation value of the periodic operation state of the logistics transfer station with label n on the control transportation route with label p in the corresponding pre-transportation route set; k(j,n,p) is the state parameter of the logistics transfer station with label n on the control transportation route with label p in the corresponding pre-transportation route set corresponding to state j; Q[(x,y) n →(x,y)0] and Q[(x,y) n →(x,y)1] are the coordinates (x,y) respectively n The coordinate distance from coordinate (x,y)0 and coordinate (x,y) n The coordinate distance from the coordinate (x,y)1; where (x,y) n is the coordinates of the logistics transfer site labeled n on the corresponding transportation route with label p in the pre-transportation route set; (x, y)0 and (x, y)1 correspond to the coordinates of the starting point and the end point of the transportation of the goods respectively; According to the transportation status bias analysis data of each comparison transportation route in the pre-transportation route set, the comparison transportation route corresponding to the maximum transportation status bias analysis value is the optimal transportation route for the current corresponding goods.

5. The method for digital management of logistics supply based on a cloud platform according to claim 4 is characterized in that: The specific steps of S400 for outputting the corresponding product information and the corresponding optimal transportation route for the period, and providing real-time feedback of the period status data of the corresponding transportation transfer station are as follows: S401, outputting corresponding product information and the optimal transportation route of the corresponding period through the cloud platform display terminal, and performing transportation planning according to the route; S402. Real-time annotation and display of the comprehensive evaluation data of the cycle operation status of each logistics transfer station in the optimal transportation route of the goods cycle.

6. A digital logistics supply management system based on a cloud platform, characterized by: The system includes a goods information processing module, a logistics site status assessment module, a transportation route comprehensive analysis module and a data output module; The goods information processing module obtains the logistics information of the current batch of goods through the cloud platform information port, constructs the logistics information form of the corresponding batch of goods based on the retrieved goods logistics information, and constructs the corresponding information matrix based on the information of each product; the logistics site status evaluation module obtains the logistics transfer site in the corresponding area based on the logistics transportation location information in each product information matrix combined with the historical regional logistics transportation route network; performs periodic status evaluation on each logistics transfer site, and hierarchically divides each logistics transfer site according to the evaluation results; The transport route comprehensive analysis module traverses and generates the current transport routes for each product based on the historical regional transit station path generation records combined with the current logistics transportation location information of each product, and constructs a route set; the efficiency of each transport route in the route set is screened based on the product transportation cycle, and the transport route bias evaluation is performed on each transport route based on the screened data, and the optimal transport route for the cycle is output based on the evaluation result; the data output module outputs the corresponding product information and the optimal transport route for the corresponding cycle, and provides real-time feedback on the cycle status data of the corresponding transport transit station.

7. The cloud platform-based digital logistics supply management system according to claim 6 is characterized by: The product information processing module includes a product information retrieval unit and a product information processing unit; The product information retrieval unit obtains the current logistics status of each batch of goods by logging into the logistics information management port of the corresponding regional cloud platform; and retrieves information on the goods in the pre-transportation batch; The goods information processing unit, based on the retrieved pre-transportation batch goods information, coordinates the logistics information of each goods by planning the corresponding logistics data column to generate a logistics information form corresponding to the current batch of goods information, and constructs a logistics information matrix for each goods according to the logistics information table.

8. The cloud platform-based digital logistics supply management system according to claim 7, characterized in that: The logistics site status assessment module includes a logistics site acquisition unit and a logistics site periodic data assessment unit; The logistics site acquisition unit acquires the transportation start and end location information of each product based on the transportation location information of each product in the current batch; combines the regional logistics transportation site distribution network, takes the logistics transportation start and end of each product as the restriction condition, marks the transportation logistics transfer sites between the two historical points, and acquires the adjacent historical cycle status data of each marked logistics transfer site; The logistics site cycle data evaluation unit performs cycle status evaluation on the adjacent historical cycle status data of each logistics transfer site based on the marked adjacent historical cycle status data of each logistics transfer site; Based on the analysis data of the periodic backlog rate and transfer rate of each logistics transit station within the cycle, a comprehensive evaluation and analysis of the periodic operation status of each logistics transit station is carried out; based on the comprehensive evaluation data of the periodic operation status of each logistics transit station within the cycle, the current periodic operation status of each logistics transit station is judged by setting status comparison parameters.

9. A cloud platform-based digital logistics supply management system according to claim 8, characterized in that: The transport route comprehensive analysis module includes a transport route planning unit and a transport route comprehensive analysis unit; The transport route planning unit combines the historical regional logistics transport network data, takes the current logistics transport start and end positions of each product as the key data for retrieval, traverses the historical transport routes in the historical regional logistics transport route network, and uses the traversed historical transport routes as the reference transport routes for the current corresponding products to construct a reference transport route set; Based on the set of reference transport routes, the current corresponding goods transport cycle is used as the screening condition to perform period screening on each reference transport route in the set; The transport time of each control transport route was analyzed separately; The transport route comprehensive analysis unit screens each control transport route based on the predicted transport time analysis data of each control transport route and the transport cycle of the corresponding goods; obtains the control transport routes reserved for the corresponding goods according to the screening operation, and constructs a pre-transport route set; performs transport state bias analysis on each control transport route based on the cycle state operation evaluation data of each logistics transfer station on each control transport route and the route transport time efficiency and the location distribution of each station; and uses the transport state bias analysis data of each control transport route in the pre-transport route set to determine the control transport route corresponding to the maximum value of the transport state bias analysis value as the optimal transport route for the current corresponding goods.

10. The digital logistics supply management system based on a cloud platform according to claim 9, characterized in that: The data output module includes a route output unit and a site status feedback unit; The route output unit outputs the corresponding product information and the optimal transportation route of the corresponding period through the cloud platform display terminal, and performs transportation planning according to the route; The station status feedback unit displays in real time the comprehensive evaluation data of the periodic operation status of each logistics transfer station in the optimal transportation route of the goods period.

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