CN114757662B - Cross-border service trading platform management system and method based on Internet - Google Patents
Cross-border service trading platform management system and method based on Internet Download PDFInfo
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Abstract
The invention discloses a cross-border service trade platform management system and method based on the Internet, which comprises the following steps: a data acquisition module, a data management center, a data storage planning module, a service data analysis module and a logistics service screening module, data of a target enterprise and a cooperative enterprise are acquired through a data acquisition module, all the acquired data are stored and managed through a data management center, a data storage structure is arranged through a data storage planning module, the stored data is assigned, when the target enterprise sends the required data to the cross-border service trading platform management system through the Internet, the assigned values are input and deconstructed, the data is synchronously extracted, the service data analysis module is used for judging the use value of the logistics service provider used by the cooperative enterprise, the matching degree of the target enterprise and the logistics service provider is predicted through the logistics service screening module, the optimal logistics service provider is matched for the target enterprise, the speed of retrieving and matching the logistics service provider is increased, and the cross-border logistics service risk is reduced.
Description
Technical Field
The invention relates to the technical field of cross-border service management, in particular to a cross-border service trading platform management system and method based on the Internet.
Background
Along with the stable development of the Chinese service trade, the trade scale is gradually enlarged, the international trade total amount is also rapidly increased, for the cross-border service trade, due to the fact that the service trade link is complex, a suitable facilitator is searched for and is of great importance to customers, as an environment in the cross-border service trade, the cross-border logistics service plays an important role in sending goods to destinations completely and timely, the suitable logistics facilitator is selected, the cross-border service trade platform management work is facilitated, and the good development of the service trade is promoted;
however, the existing cross-border service trading service platform management work still has some problems: firstly, a client is still required to independently search the logistics service provider, the time consumption of the independent searching process is long, the logistics service progress is influenced, the reliability of the autonomously searched logistics service provider cannot be effectively improved, and the safety risk of goods transportation exists; secondly, different cross-border logistics service providers often have the phenomenon of insufficient supply and demand due to seasonal changes of transportation demands on the logistics transportation capacity of different types of goods, and the result that the goods cannot be transported in time is caused by neglecting the seasonal changes when the service providers are selected; finally, when a proper logistics service provider is selected for a customer through system data, a large amount of data is often required to be extracted for analysis, and the prior art cannot synchronously extract required data and accelerate the speed of retrieving and matching the logistics service provider.
Therefore, a cross-border service trading platform management system and method based on the internet are needed to solve the above problems.
Disclosure of Invention
The invention aims to provide a cross-border service trading platform management system and method based on the internet, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an internet-based cross-border service trading platform management system, the system comprising: the system comprises a data acquisition module, a data management center, a data storage planning module, a service data analysis module and a logistics service screening module;
the data acquisition module is used for acquiring the data of goods required to be transported by a target enterprise and the data of logistics service providers used by a cooperative enterprise;
storing and managing all the acquired data through the data management center;
setting a storage structure of the acquired data through the data storage planning module, assigning the data stored in the storage structure, inputting and deconstructing the assignment when a target enterprise sends demand data to a cross-border service trading platform management system through the Internet, and synchronously extracting the data, wherein the deconstructing assignment refers to extracting the data wanted by the target enterprise from a target object or an array;
analyzing the extracted data through the service data analysis module, and judging the use value of the logistics service provider used by the cooperative enterprise;
and predicting the matching degree of the target enterprise and the logistics service provider through the logistics service screening module, and matching the target enterprise with the optimal logistics service provider.
Furthermore, the data acquisition module comprises an enterprise information acquisition unit and a logistics information acquisition unit, and the enterprise information acquisition unit is used for acquiring the type and time data of goods to be transported by a target enterprise; and acquiring logistics service provider data used by a cooperative enterprise through the logistics information acquisition unit, and transmitting all acquired data to the data management center.
Furthermore, the data storage planning module comprises a storage structure setting unit and a service data extraction unit, the storage structure setting unit is used for distributing the storage positions of the acquired data, a chain type storage structure is set, and the same value is assigned to the data stored in the nodes of the chain type storage structure; and inputting and deconstructing the assignment through the service data extraction unit, and synchronously extracting the data stored in the nodes.
Further, the service data analysis module comprises a transportation data analysis unit and a data change analysis unit; extracting and analyzing the data through the transportation data analysis unit: analyzing cross-border cargo transportation data corresponding to the logistics service provider when the cooperation enterprise uses the logistics service provider; and analyzing the transportation capacity change data of different types of goods transported by the logistics service provider in different seasons by the data change analysis unit, and judging the use value of the logistics service provider.
Furthermore, the logistics service screening module comprises a demand data analysis unit and a service provider matching unit, and the demand data analysis unit is used for analyzing the cross-border cargo type and the transportation path information required to be transported by the target enterprise; and matching the goods and the path information which are required to be transported by the target enterprise with the transportation path information of the logistics service provider through the service provider matching unit, predicting the matching degree of the target enterprise and the logistics service provider, and selecting the optimal logistics service provider to transport the goods for the target enterprise.
A cross-border service trading platform management method based on the Internet comprises the following steps:
s1: collecting goods data required to be transported by a target enterprise and logistics service provider data used by a cooperative enterprise;
s2: setting a storage structure of the acquired data, and synchronously extracting the data;
s3: analyzing the synchronously extracted data of the cross-border logistics service providers used by the cooperative enterprises, and judging the use value of the cross-border logistics service providers;
s4: analyzing the demand data of the target enterprise, and predicting the matching degree of the target enterprise and the logistics service provider;
s5: and screening out the best logistics service provider to transport goods for the target enterprise.
Further, in step S1: sending goods data needing to be transported by a random target enterprise through the Internet, acquiring the number of cooperative enterprises of the random target enterprise on corresponding goods production after receiving the goods data as n, the time point of the goods needing to be transported as T, the time point set of the cooperative enterprises participating in the corresponding goods production as T = { T1, T2, …, tn }, and the time period set of the cooperation with the target enterprise as T ’ ={t1 ’ ，t2 ’ ，…，tn ’ Q = { q1, q2, …, qn } for the set of times that the partner enterprise has transported goods across borders in the past, in step S2: calculating the participation degree W of a random cooperative enterprise when the target enterprise produces corresponding goods according to the following formula i ：
Wherein ti represents the time point when a random cooperative enterprise participates in the production of the corresponding goods, ti ’ Representing the cooperation time of the corresponding cooperative enterprise and the target enterprise, qi representing the number of times of the corresponding cooperative enterprise for transporting goods across the border in the past, and obtaining the participation of all the cooperative enterprises when the target enterprise produces the corresponding goods after arranging the participation of all the cooperative enterprises when the target enterprise produces the corresponding goods in the order from small to largeParticipation set W = { W 1 ，W 2 ，…，W n And setting a storage path of the logistics service provider data used by the cooperative enterprise according to the participation degree: setting a chain type storage structure and setting nodes { a } 1 ，a 2 ，…，a n H, mixing W i And W i+1 The logistics service provider data used by the corresponding cooperative enterprises are respectively stored in the node a i And a i+1 Wherein node a i Point to node a i+1 Assigning values to data stored in the n nodes: for n data points { (1, W) 1 ），（2，W 2 ），…，（n，W n ) Performing straight line fitting: setting a fitting function:
wherein b1 and b2 represent fitting coefficients, and b1 and b2 are calculated, respectively, according to the following formulas:
an assignment data is obtained, which, among other things,
assigning the same value to the data stored in the n nodes, wherein the assigned same value is data, inputting the data when extracting the data, synchronously extracting the logistics service provider data used by the cooperative enterprises stored in the n nodes through deconstruction assignment, collecting the information of goods required to be transported of the target enterprise, namely the client and the information of service providers used by the enterprises having cooperation with the client in goods production, using the information of the cooperative enterprises as reference to search for proper service providers, which is beneficial to improving the credibility of the service providers and reducing the safety risk of logistics transportation, obtaining the participation of the cooperative enterprises through data analysis, further reflecting the reliability of the service providers used by the cooperative enterprises, and the higher the participation indicates that the higher the cooperation of the two is, the deeper the two areThe reliability is higher, the data of the cooperative enterprise are stored into the nodes of the chain storage structures from small to large according to the reference illumination, and meanwhile the reference data are fitted, so that the data stored in different chain storage structures are assigned, the probability of extracting the data stored in the other chain storage structure when the data are extracted synchronously is reduced, the data stored in one chain storage structure are assigned with the same value, the data can be extracted synchronously only by inputting the assignment, and the speed of retrieving and matching the logistics service providers is accelerated.
Further, in step S3: synchronously extracting the data of the logistics service providers used by the cooperative enterprises, and analyzing the extracted data: the method comprises the steps of obtaining m number of cross-border logistics service providers used by a random cooperative enterprise, setting A = { A1, A2, …, Aj, … and Am } of times used by the corresponding cooperative enterprise by the cross-border logistics service providers, setting d = { d1, d2, … and dk } of distance used for transporting goods by the random cross-border logistics service providers, setting R = { R1, R2, … and rk } of transportation price, setting the transportation delay time of the goods as e, and setting the delay time as T Delay time ={T Delay 1 ，T Yan 2 ，…，T Delay e And e is less than or equal to k, wherein k represents the number of times that the corresponding cross-border logistics service provider is used by the corresponding collaborative enterprise, k = Aj, the total quantity set of the cargos, which are transported by the corresponding cross-border logistics service provider and have the same type as the cargos transported by the target enterprise, in each quarter is obtained as B = { B1, B2, B3, B4}, and the use value Pj of a random cross-border logistics service provider used by a random collaborative enterprise is calculated according to the following formula:
wherein dj represents the distance of randomly transporting the corresponding cooperative enterprise goods at one time corresponding to the cross-border logistics service provider, rj represents the random one-time transportation price, and T Delay j Indicating a random one-time cargo transportation delay duration, B ’ The method indicates that the cross-border logistics service provider correspondingly transports the total goods of which the types are the same as those of the goods required to be transported by the target enterprise in the quarter of the current time point of the target enterprise in which the goods are required to be transportedQuantity, Bj represents the total quantity of the cargos of which the types are the same as those required to be transported by the target enterprise and transported by the corresponding cross-border logistics service provider in a random quarter, the use value set of the cross-border logistics service provider used by a random cooperative enterprise is obtained as P = { P1, P2, …, Pm }, the cross-border logistics service provider with the highest use value for the corresponding cooperative enterprise is screened out, the cross-border logistics service provider with the highest use value for all the cooperative enterprises cooperating with the target enterprise is obtained, and after data are synchronously extracted, the data of the service provider used by the cooperative enterprise are analyzed: the use value of the logistics service provider is obtained by combining historical work data of the logistics service provider and the transportation capacity supply relation of the types of goods needing to be transported by the target enterprise in the current quarter, the less the supply and demand conditions are, the lower the cost is, the more stable the transportation is, the higher the use value of the corresponding logistics service provider is, and the accuracy of the use value judgment result is improved.
Further, in step S4: in the screened cross-border logistics service provider, acquiring that the set of the path length of the superposition of the transportation path of the goods currently required to be transported by the target enterprise and the previous transportation path of the screened cross-border logistics service provider is L = { L1, L2, …, Ln }, and calculating the sum according to a formula
Predicting the matching degree Qi of the target enterprise and a random cross-border logistics service provider to obtain a set of matching degrees Q = { Q1, Q2, … and Qn } between the target enterprise and all cross-border logistics service providers, wherein Li represents the path length of the screened random cross-border logistics service provider, where the past transportation path coincides with the transportation path of the goods currently required to be transported by the target enterprise, n represents the number of cooperating enterprises of the target enterprise in corresponding goods production, and in step S5: the cross-border logistics facilitator with the highest matching degree is screened out to serve as the optimal cross-border logistics facilitator to transport goods for the target enterprise, the higher the coincidence degree of the transport path and the established route of the target enterprise is, the more experienced the corresponding facilitator transports the goods on the coincident route is, the lower the error rate is, the logistics facilitator is selected by combining the participation degree of the cooperative enterprise, namely the credibility and the route coincidence degree, and the matching is favorably realizedThe service provider provides logistics service, and logistics transportation risks are reduced.
Compared with the prior art, the invention has the following beneficial effects:
the invention searches for a proper cross-border logistics service provider for the client, namely the target enterprise by collecting and analyzing the service provider information used by the enterprise cooperating with the target enterprise, thereby improving the reliability of the service provider and reducing the safety risk of logistics transportation; by setting the chain storage structure, the data of the cooperative enterprise is stored in the nodes of the chain storage structure, the same value is assigned to the node data, the assignment is input when the data is extracted, the assignment is deconstructed, and the data storage space is saved while the synchronous extraction of the data is realized; by synchronously extracting the data to be analyzed, the speed of retrieving and matching the logistics service providers is increased; the use value of the logistics service provider is obtained by synchronously analyzing the historical work data of the logistics service provider and the transportation capacity supply relation of the type of goods needing to be transported by a target enterprise in the current quarter, the service provider with high use value is preliminarily screened out, the logistics service provider is selected by combining the participation degree of the cooperative enterprise, namely the credibility and the path coincidence degree, on the basis, the appropriate service provider is matched to provide logistics service, and the risk of cross-border logistics transportation service is reduced.
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 principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of an Internet-based cross-border service trading platform management system of the present invention;
fig. 2 is a flow chart of a cross-border service trading platform management method based on the internet.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Referring to fig. 1-2, the present invention provides a technical solution: an internet-based cross-border service trading platform management system, comprising: the system comprises a data acquisition module, a data management center, a data storage planning module, a service data analysis module and a logistics service screening module;
the method comprises the steps that goods data needing to be transported of a target enterprise and logistics service data used by a cooperative enterprise are collected through a data collection module;
storing and managing all the acquired data through a data management center;
setting a storage structure of the acquired data through a data storage planning module, assigning the data stored in the storage structure, inputting and deconstructing the assignment when a target enterprise sends demand data to a cross-border service trading platform management system through the Internet, and synchronously extracting the data;
analyzing the extracted data through a service data analysis module, and judging the use value of the logistics service provider used by the cooperative enterprise;
and predicting the matching degree of the target enterprise and the logistics service provider through the logistics service screening module, and matching the target enterprise with the optimal logistics service provider.
The data acquisition module comprises an enterprise information acquisition unit and a logistics information acquisition unit, and the enterprise information acquisition unit is used for acquiring the type and time data of goods to be transported by a target enterprise; the logistics information acquisition unit is used for acquiring the logistics service provider data used by the cooperative enterprise and transmitting all the acquired data to the data management center.
The data storage planning module comprises a storage structure setting unit and a service data extraction unit, the storage structure setting unit is used for distributing the storage positions of the acquired data, a chain type storage structure is arranged, and the same value is assigned to the data stored in the nodes of the chain type storage structure; and inputting and deconstructing the assignment through a service data extraction unit, and synchronously extracting the data stored in the nodes.
The service data analysis module comprises a transportation data analysis unit and a data change analysis unit; extracting and analyzing the data through a transportation data analysis unit: analyzing cross-border cargo transportation data corresponding to the logistics service provider when the cooperation enterprise uses the logistics service provider; the data change analysis unit is used for analyzing the transportation capacity change data of the logistics service provider for transporting different types of goods in different seasons, and judging the use value of the logistics service provider.
The logistics service screening module comprises a demand data analysis unit and a service provider matching unit, and the demand data analysis unit is used for analyzing the type of cross-border goods to be transported and the information of a transportation path of a target enterprise; and matching the goods to be transported by the target enterprise, the path information and the transportation path information of the logistics facilitator through the facilitator matching unit, predicting the matching degree of the target enterprise and the logistics facilitator, and selecting the best logistics facilitator to transport the goods for the target enterprise.
A cross-border service trading platform management method based on the Internet comprises the following steps:
s1: collecting goods data required to be transported by a target enterprise and logistics service provider data used by a cooperative enterprise;
s2: setting a storage structure of the acquired data, and synchronously extracting the data;
s3: analyzing the synchronously extracted data of the cross-border logistics service providers used by the cooperative enterprises, and judging the use value of the cross-border logistics service providers;
s4: analyzing the demand data of the target enterprise and predicting the matching degree of the target enterprise and the logistics service provider;
s5: and screening out the best logistics service provider to transport goods for the target enterprise.
In step S1: sending goods data needing to be transported by a random target enterprise through the Internet, acquiring the number of cooperative enterprises of the random target enterprise on corresponding goods production after receiving the goods data as n, the time point of the goods needing to be transported as T, the time point set of the cooperative enterprises participating in the corresponding goods production as T = { T1, T2, …, tn }, and the time period set of the cooperation with the target enterprise as T ’ ={t1 ’ ，t2 ’ ，…，tn ’ The set of past transshipment times of goods by the cooperative enterprise is q = { q1, q2, …, qn }, and in step S2: calculating the target of a random cooperative enterprise according to the following formulaDegree of participation W in the production of corresponding goods by an enterprise i ：
Wherein ti represents the time point when a random cooperative enterprise participates in the production of the corresponding goods, ti ’ Representing the cooperation time of the corresponding cooperative enterprise and the target enterprise, qi representing the number of times of transporting goods across the border in the past of the corresponding cooperative enterprise, and arranging the participation degrees of all the cooperative enterprises in the target enterprise production corresponding goods in the order from small to large to obtain the set of the participation degrees of all the cooperative enterprises in the target enterprise production corresponding goods as W = { W = 1 ，W 2 ，…，W n And setting a storage path of the logistics service provider data used by the cooperative enterprise according to the participation degree: setting a chain type storage structure and setting nodes { a } 1 ，a 2 ，…，a n H, mixing W i And W i+1 The logistics service provider data used by the corresponding cooperative enterprises are respectively stored in the node a i And a i+1 Wherein node a i Point to node a i+1 The addresses of (3) are assigned to the data stored in the n nodes: for n data points { (1, W) 1 ），（2，W 2 ），…，（n，W n ) Performing straight line fitting: setting a fitting function:
wherein b1 and b2 represent fitting coefficients, and b1 and b2 are calculated, respectively, according to the following formulas:
an assignment data is obtained, which, among other things,
the data stored in the n nodes are assigned with the same value, the assigned same value is data, the data is input when the data is extracted, and the logistics service provider data used by the cooperative enterprises stored in the n nodes are synchronously extracted through deconstruction assignment, so that the reliability of the screened service provider is improved, the logistics transportation safety risk is reduced, and the speed of searching and matching the logistics service provider is accelerated.
In step S3: synchronously extracting the data of the logistics service providers used by the cooperative enterprises, and analyzing the extracted data: the method comprises the steps of obtaining m number of cross-border logistics service providers used by a random cooperative enterprise, setting A = { A1, A2, …, Aj, … and Am } of times used by the corresponding cooperative enterprise by the cross-border logistics service providers, setting d = { d1, d2, … and dk } of distance used for transporting goods by the random cross-border logistics service providers, setting R = { R1, R2, … and rk } of transportation price, setting the transportation delay time of the goods as e, and setting the delay time as T Delay time ={T Delay 1 ，T Yan 2 ，…，T Delay e And e is less than or equal to k, wherein k represents the number of times that the corresponding cross-border logistics service provider is used by the corresponding cooperation enterprise, k = Aj, the total quantity set of the cargos with the same type as that required by the target enterprise, which are transported by the corresponding cross-border logistics service provider in each quarter, is obtained as B = { B1, B2, B3 and B4}, and the use value Pj of a random cross-border logistics service provider used by a random cooperation enterprise is calculated according to the following formula:
wherein dj represents the distance of randomly transporting the corresponding cooperative enterprise goods at one time corresponding to the cross-border logistics service provider, rj represents the random one-time transportation price, and T Delay j Indicating a random one-time cargo transportation delay time, B ’ Indicating that the total amount of the cargos with the same type as the cargos to be transported by the target enterprise are transported corresponding to the cross-border logistics service provider in the quarter to which the current cargos to be transported belong, and Bj indicating that the cargos with the same type as the cargos to be transported by the target enterprise are transported corresponding to the cross-border logistics service provider in a random quarterAnd (3) obtaining a use value set P = { P1, P2, …, Pm } of cross-border logistics service providers used by a random cooperative enterprise, screening out the cross-border logistics service providers with the highest use value for the corresponding cooperative enterprise, obtaining the cross-border logistics service providers with the highest use value for all the cooperative enterprises cooperating with the target enterprise, adding transportation power supply relation data of each quarter into analysis data, and improving the accuracy of a use value judgment result.
In step S4: in the screened cross-border logistics service provider, acquiring that the set of the path length of the superposition of the transportation path of the goods currently required to be transported by the target enterprise and the previous transportation path of the screened cross-border logistics service provider is L = { L1, L2, …, Ln }, and calculating the sum according to a formula
Predicting the matching degree Qi between the target enterprise and one random cross-border logistics facilitator to obtain a set of matching degrees Q = { Q1, Q2, …, Qn } between the target enterprise and all cross-border logistics facilitators, wherein Li represents the path length of the screened conventional transportation path of one random cross-border logistics facilitator and the transportation path of the goods currently required to be transported by the target enterprise, n represents the number of cooperating enterprises of the target enterprise on the corresponding goods production, in step S5: the cross-border logistics service provider with the highest matching degree is screened out to serve as the optimal cross-border logistics service provider, goods are transported for the target enterprise, logistics service is provided by the appropriate service provider in an effective matching mode, and logistics transportation risks are reduced.
The first embodiment is as follows: acquiring the number of cooperation enterprises of a random target enterprise on corresponding goods production as n =3, wherein the time point of goods needing to be transported is T: and in 20 days in 5 months, the set of time points of participation of the cooperative enterprises in corresponding goods production is t = { t1, t2, t3} = {1 day in 5 months, 10 days in 4 months, 1 day in 4 months }, and the set of time lengths of cooperation with the target enterprises is t ’ ={t1 ’ ，t2 ’ ，t3 ’ } = {10, 30, 5}, unit: the set of times that the cooperative enterprises have transported goods across borders in the past is q = { q1, q2, q3} = {20, 5, 15}, according to the formula
Calculating the participation degree W of a random cooperative enterprise when the target enterprise produces corresponding goods i And the participation degree of all the cooperative enterprises when the target enterprises produce the corresponding goods is arranged according to the sequence from small to large by being approximately equal to 0.20: obtaining a set of participation degrees of all cooperative enterprises when the target enterprise produces the corresponding goods as W = { W = } 1 ，W 2 ，W 3 ) = {0.13, 0.20, 0.21}, set chain storage structure: setting node { a 1 ，a 2 ，a 3 H, mixing W 1 、W 2 And W 3 The logistics service provider data used by the corresponding cooperative enterprises are respectively stored in the node a 1 And a 2 Middle, node a 1 Point to node a 2 Address of, node a 2 Point to node a 3 The data stored in the 3 nodes are assigned with the addresses of (1): for 3 data points { (1, W) 1 ），（2，W 2 ），（3，W 3 ) Performing straight line fitting: setting a fitting function:
according to the formula
And
b1=0.04 and b2=0.1 are respectively calculated, and the assigned data are obtained:
the data stored in the 3 nodes are assigned the same value: the data is input when the data is extracted, and the logistics service provider data used by the cooperative enterprise and stored in the 3 nodes are synchronously extracted through deconstruction assignment;
example two: synchronously extracting the data of the logistics service providers used by the cooperative enterprises, obtaining that the number of the cross-border logistics service providers used by a random cooperative enterprise is m =3, the number set of times that the cross-border logistics service providers are used by the corresponding cooperative enterprises is A = { A1,a2, A3} = {3, 5, 6}, the set of routes for transporting goods using random one cross-border logistics service provider is d = { d1, d2, d3} = {2000, 1000, 3000}, the set of transportation prices is R = { R1, R2, R3} = {200, 100, 300}, the number of transportation delays of goods is e =2, and the set of delay times is T Delay pipe ={T Delay 1 ，T Yan 2 } = {3, 4}, unit: and acquiring that the total quantity set of the goods corresponding to the same type of the goods transported by the cross-border logistics service provider and the goods transported by the target enterprise needs to be B = { B1, B2, B3 and B4} = {30, 50, 60 and 10} in each quarter, and performing calculation according to a formula
Calculating the use value Pj =0.07 of a random cross-border logistics service provider used by a random cooperative enterprise, obtaining the use value set of the cross-border logistics service provider used by the random cooperative enterprise as P = { P1, P2, P3} = {0.07, 0.10, 0.12}, and screening out the cross-border logistics service provider with the highest use value for the corresponding cooperative enterprise: the service provider corresponding to the P3 obtains the cross-border logistics service provider with the highest use value for all the cooperative enterprises cooperating with the target enterprise, obtains the path length set of the coincidence of the transportation path of the goods currently required to be transported by the target enterprise and the past transportation path of the screened cross-border logistics service provider as L = { L1, L2, L3} = {200, 500, 1000}, and obtains the cross-border logistics service provider with the highest use value for all the cooperative enterprises cooperating with the target enterprise, wherein the path length set of the coincidence is L = { L1, L2, L3} = {200, 500, 1000}, and the service provider corresponding to the P3 according to a formula
Predicting the matching degree Qi =26 of the target enterprise and a random cross-border logistics service provider, obtaining the set of the matching degrees of the target enterprise and all cross-border logistics service providers as Q = { Q1, Q2, Q3} = {26, 100, 210}, and screening the cross-border logistics service provider with the highest matching degree as the optimal cross-border logistics service provider: and the service provider corresponding to the Q3 transports the goods for the target enterprise.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A cross-border service trading platform management method based on the Internet is characterized by comprising the following steps: the method comprises the following steps:
s1: collecting goods data required to be transported by a target enterprise and logistics facilitator data used by a cooperative enterprise;
s2: setting a storage structure of the acquired data, and synchronously extracting the data;
s3: analyzing the synchronously extracted data of the cross-border logistics service providers used by the cooperative enterprises, and judging the use value of the cross-border logistics service providers;
s4: analyzing the demand data of the target enterprise and predicting the matching degree of the target enterprise and the logistics service provider;
s5: screening out the best logistics service provider to transport goods for the target enterprise;
in step S1: sending goods data needing to be transported by one target enterprise randomly through the Internet, collecting the number of cooperative enterprises of the one target enterprise on corresponding goods production after receiving the goods data as n, the time point of the goods needing to be transported as T, the set of the time points of the cooperative enterprises participating in corresponding goods production as T = { T1, T2, …, tn }, and the set of the time duration of cooperation with the target enterprise as T ’ ={t1 ’ ，t2 ’ ，…，tn ’ The number set of the previous trans-border transportation of goods by the cooperative enterprises is q = { q1, q2, …, qn };
in step S2: calculating the participation degree W of a random cooperative enterprise when the target enterprise produces corresponding goods according to the following formula i ：
Wherein ti represents the participation of a random cooperative enterprise in the corresponding goodsTime point of production of substance ti ’ Representing the cooperation time of the corresponding cooperative enterprise and the target enterprise, qi representing the number of times of transporting goods across the border in the past of the corresponding cooperative enterprise, and arranging the participation degrees of all the cooperative enterprises in the target enterprise production corresponding goods in the order from small to large to obtain the set of the participation degrees of all the cooperative enterprises in the target enterprise production corresponding goods as W = { W = 1 ，W 2 ，…，W n And setting a storage path of the logistics service provider data used by the cooperative enterprise according to the participation degree: setting a chain type storage structure and setting nodes { a } 1 ，a 2 ，…，a n } mixing W i And W i+1 The logistics service provider data used by the corresponding cooperative enterprises are respectively stored in the node a i And a i+1 Wherein node a i Point to node a i+1 Assigning values to data stored in the n nodes: for n data points { (1, W) 1 ），（2，W 2 ），…，（n，W n ) Performing straight line fitting: setting a fitting function:
wherein b1 and b2 represent fitting coefficients, and b1 and b2 are calculated, respectively, according to the following formulas:
an assignment data is obtained, which, among other things,
assigning the same value to the data stored in the n nodes, wherein the assigned same value is data, inputting the data when extracting the data, and synchronously extracting the logistics service provider data used by the cooperative enterprises stored in the n nodes through deconstruction assignment;
in step S3: synchronous extractionThe logistics service provider data used by the cooperative enterprises are analyzed, and the extracted data are as follows: acquiring that the number of cross-border logistics service providers used by a random cooperative enterprise is m, the number set used by the corresponding cooperative enterprise by the cross-border logistics service providers is A = { A1, A2, …, Aj, … and Am }, the distance set for transporting goods by the random cross-border logistics service providers is d = { d1, d2, … and dk }, the transportation price set is R = { R1, R2, … and rk }, the transportation delay time of the goods is e, and the delay time set is T Delay time ={T Delay 1 ，T Yan 2 ，…，T Delay e And e is less than or equal to k, wherein k represents the number of times that the corresponding cross-border logistics service provider is used by the corresponding collaborative enterprise, k = Aj, the total quantity set of the cargos, which are transported by the corresponding cross-border logistics service provider and have the same type as the cargos transported by the target enterprise, in each quarter is obtained as B = { B1, B2, B3, B4}, and the use value Pj of a random cross-border logistics service provider used by a random collaborative enterprise is calculated according to the following formula:
wherein dj represents the distance of randomly transporting the corresponding cooperative enterprise goods at one time corresponding to the cross-border logistics service provider, rj represents the random one-time transportation price, and T Delay j Indicating a random one-time cargo transportation delay duration, B ’ The method comprises the steps that in a quarter where a current freight needing to be transported of a target enterprise belongs, a corresponding cross-border logistics service provider transports the total quantity of cargos of the same type as that needed to be transported by the target enterprise, Bj represents the total quantity of cargos of the same type as that needed to be transported by the target enterprise in a random quarter, the usage value set of the cross-border logistics service provider used by a random cooperative enterprise is obtained and is P = { P1, P2, … and Pm }, the cross-border logistics service provider with the highest usage value for the corresponding cooperative enterprise is screened out, and the cross-border logistics service provider with the highest usage value for all cooperative enterprises cooperating with the target enterprise is obtained.
2. A method according to claim 1The management method of the cross-border service trading platform of the Internet is characterized by comprising the following steps: in step S4: in the screened cross-border logistics service provider, acquiring that the set of the path length of the superposition of the transportation path of the goods currently required to be transported by the target enterprise and the previous transportation path of the screened cross-border logistics service provider is L = { L1, L2, …, Ln }, and calculating the sum according to a formula
Predicting the matching degree Qi of the target enterprise and a random one of the cross-border logistics service providers to obtain a set of matching degrees Q = { Q1, Q2, … and Qn } of the target enterprise and all the cross-border logistics service providers, wherein Li represents the path length of the selected random one of the cross-border logistics service providers, which is overlapped with the transportation path of the goods currently required to be transported by the target enterprise, and n represents the number of cooperative enterprises of the target enterprise in the corresponding goods production;
in step S5: and screening the cross-border logistics service provider with the highest matching degree as the optimal cross-border logistics service provider to transport the goods for the target enterprise.
3. An internet-based cross-border service trading platform management system adopting the internet-based cross-border service trading platform management method of claim 1, characterized in that: the system comprises: the system comprises a data acquisition module, a data management center, a data storage planning module, a service data analysis module and a logistics service screening module;
the data acquisition module is used for acquiring the data of goods required to be transported by a target enterprise and the data of logistics service providers used by a cooperative enterprise;
storing and managing all the collected data through the data management center;
setting a storage structure of the acquired data through the data storage planning module, assigning the data stored in the storage structure, inputting and deconstructing the assignment when a target enterprise sends demand data to a cross-border service trading platform management system through the Internet, and synchronously extracting the data;
analyzing the extracted data through the service data analysis module, and judging the use value of the logistics service provider used by the cooperative enterprise;
and predicting the matching degree of the target enterprise and the logistics service provider through the logistics service screening module, and matching the target enterprise with the optimal logistics service provider.
4. The internet-based cross-border service trading platform management system of claim 3, wherein: the data acquisition module comprises an enterprise information acquisition unit and a logistics information acquisition unit, and the enterprise information acquisition unit is used for acquiring the type and time data of goods to be transported of a target enterprise; and the logistics information acquisition unit is used for acquiring the logistics service provider data used by the cooperative enterprises and transmitting all the acquired data to the data management center.
5. The internet-based cross-border service trading platform management system of claim 3, wherein: the data storage planning module comprises a storage structure setting unit and a service data extraction unit, the storage structure setting unit is used for distributing the storage positions of the acquired data, a chain type storage structure is set, and the same value is assigned to the data stored in the nodes of the chain type storage structure; and inputting and deconstructing the assignment through the service data extraction unit, and synchronously extracting the data stored in the nodes.
6. The internet-based cross-border service trading platform management system of claim 3, wherein: the service data analysis module comprises a transportation data analysis unit and a data change analysis unit; extracting and analyzing the data through the transportation data analysis unit: analyzing cross-border cargo transportation data corresponding to the logistics service provider when the cooperation enterprise uses the logistics service provider; and analyzing the transportation capacity change data of the logistics service provider for transporting different types of goods in different seasons by the data change analysis unit, and judging the use value of the logistics service provider.
7. The internet-based cross-border service trading platform management system of claim 3, wherein: the logistics service screening module comprises a demand data analysis unit and a service provider matching unit, and the demand data analysis unit is used for analyzing the type of cross-border goods to be transported and the information of a transportation path of a target enterprise; and matching the goods to be transported by the target enterprise, the path information and the transportation path information of the logistics facilitator through the facilitator matching unit, predicting the matching degree of the target enterprise and the logistics facilitator, and selecting the best logistics facilitator to transport the goods for the target enterprise.
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