CN108921486B - Block chain based trade supply chain recommendation method and device - Google Patents
Block chain based trade supply chain recommendation method and device Download PDFInfo
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Abstract
The invention provides a block chain-based trade supply chain recommendation method and device, wherein the method comprises the following steps: acquiring origin, destination and logistics preference information of goods to be transported, which are sent by a service platform; searching a candidate goods supply chain matched with the origin and the destination in a preset supply chain library; calculating a supply chain score of each candidate goods supply chain according to historical logistics information of the candidate goods supply chain, the logistics preference information and preset factor weight; and recommending the target goods supply chain with the highest supply chain score to the service platform, so that the target goods supply chain which is most matched with the actual requirements of the user can be determined in a preset supply chain library according to the origin, the destination and the logistics preference information of the goods to be transported, the most suitable international trade way can be obtained without the user gradually searching, the international trade efficiency of the user is improved, and the cost is saved.
Description
Technical Field
The invention relates to the technical field of block chains, in particular to a trade supply chain recommendation method and device based on a block chain.
Background
International Trade (also known as trader) refers to a state-spanning transaction of goods and services, generally consisting of import and export trades, and may also be referred to as import and export trades. Participants in international trade may include: international trade consignee, international trade service provider, international trade site operator and supervising agency.
However, in practical applications, the international trade consignee independently selects the operator in the international trade place and the international trade service provider according to his own experience, introduction by friends, and the like, so that the international trade approaches are diversified, the time cost and the price cost consumed in the international trade process are different, and the efficiency of the international trade approach for the user to continuously search for the practical needs is very low.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for recommending a trade supply chain based on a block chain, so as to alleviate the technical problem in the prior art that a user continuously searches for an international trade path suitable for actual needs, which is very low in efficiency.
In a first aspect, an embodiment of the present invention provides a trade supply chain recommendation method based on a block chain, which is applied to a block chain network, and the method includes:
acquiring origin, destination and logistics preference information of goods to be transported, which are sent by a service platform;
searching a candidate goods supply chain matched with the origin and the destination in a preset supply chain library;
calculating a supply chain score of each candidate goods supply chain according to historical logistics information of the candidate goods supply chain, the logistics preference information and preset factor weight, wherein the historical logistics information comprises historical logistics data corresponding to a plurality of logistics factors;
and recommending the target goods supply chain with the highest supply chain score to the service platform.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the calculating a supply chain score of each candidate goods supply chain according to the logistics preference information and a preset factor weight includes:
obtaining historical logistics information of each candidate goods supply chain;
determining a factor weight set according to the logistics preference information, wherein the factor weight set comprises preset factor weights of all logistics factors;
and scoring each candidate goods supply chain according to historical logistics data corresponding to each logistics factor information and preset factor weight to obtain a supply chain score.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the block chain network is in communication connection with a plurality of service platforms, the plurality of service platforms are ranked according to functions of supply chain nodes corresponding to the service platforms in an international trade supply chain to form a goods supply chain, and the method for recording the historical logistics information includes:
receiving logistics information sent by a service platform, wherein the logistics information is sent when a supply chain node corresponding to the service platform starts to transport goods to a next international trade participant, and the logistics information comprises: goods supply chain identification and logistics data corresponding to a plurality of logistics factors;
and counting logistics information sent by the service platform aiming at the service platform corresponding to each goods supply chain to obtain historical logistics information of each goods supply chain.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the scoring each candidate goods supply chain according to historical logistics data corresponding to each item of logistics factor information and a preset factor weight to obtain a supply chain score includes:
aiming at each logistics factor, acquiring historical data of a plurality of candidate goods supply chains corresponding to the logistics factor;
dividing a plurality of data intervals according to the maximum difference value among a plurality of historical data;
setting different data scores for historical data in different data intervals;
for each goods supply chain, multiplying the data score corresponding to each logistics factor by a preset factor weight to obtain a plurality of product results;
and adding the multiple product results to obtain a supply chain score.
With reference to the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the logistics preference information includes one or more of logistics factors, and the determining a factor weight set according to the logistics preference information includes:
multiplying the cardinal number weight of the logistics factor corresponding to the logistics preference information by a preset multiple to obtain a preference weight;
and constructing the factor weight set based on the preference weight of the logistics factor corresponding to the logistics preference information and the basic weights of other logistics factors not corresponding to the logistics preference information.
With reference to the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where the searching for a candidate goods supply chain matching the origin and the destination in a preset supply chain library includes:
and searching for a goods supply chain of which the transportation route comprises the origin and the destination from a plurality of goods supply chains of a preset supply chain library, and determining the searched goods supply chain as a candidate goods supply chain.
In combination with the first aspect, the present invention provides a sixth possible implementation manner of the first aspect, where the logistics factor at least includes: weather, mode of transportation, length of transportation, and route of transportation.
In a second aspect, an embodiment of the present invention further provides a trade supply chain recommendation device based on a block chain, which is applied to a block chain network, and the device includes:
the acquisition module is used for acquiring the origin, destination and logistics preference information of the goods to be transported, which are sent by the service platform;
the searching module is used for searching a candidate goods supply chain matched with the origin and the destination in a preset supply chain library;
the calculation module is used for calculating a supply chain score of each candidate goods supply chain according to historical logistics information of the candidate goods supply chain, the logistics preference information and preset factor weight, wherein the historical logistics information comprises historical logistics data corresponding to a plurality of logistics factors;
and the recommending module is used for recommending the target goods supply chain with the highest supply chain score to the service platform.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory and a processor, where the memory stores a computer program operable on the processor, and the processor implements the steps of the method according to the first aspect when executing the computer program.
In a fourth aspect, the present invention also provides a computer-readable medium having non-volatile program code executable by a processor, where the program code causes the processor to execute the method of the first aspect.
The embodiment of the invention has the following beneficial effects: the embodiment of the invention firstly obtains the origin, destination and logistics preference information of goods to be transported, which are sent by a service platform; then, searching a candidate goods supply chain matched with the origin and the destination in a preset supply chain library; calculating a supply chain score of each candidate goods supply chain according to historical logistics information of the candidate goods supply chain, the logistics preference information and preset factor weight, wherein the historical logistics information comprises historical logistics data corresponding to a plurality of logistics factors; and finally recommending the target goods supply chain with the highest supply chain score to the service platform.
The embodiment of the invention can determine the target goods supply chain which is most matched with the actual requirements of the user in the preset supply chain library according to the origin, the destination and the logistics preference information of the goods to be transported, so that the user can obtain the most suitable international trade way without gradually groping, the time cost and the price cost consumed in the gradual groping process of the user are reduced, the efficiency of the user in carrying out international trade is improved, and the cost is saved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a trade supply chain recommendation method based on a block chain according to an embodiment of the present invention;
FIG. 2 is a flowchart of step S103 in FIG. 1;
FIG. 3 is a flowchart of step S203 in FIG. 2;
fig. 4 is a block diagram of a trade supply chain recommendation device based on a block chain according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In practical application, at present, international trade department operators and international trade service providers are independently selected by international trade receiving and dispatching people according to own experience, friend introduction and other modes, so that the ways of carrying out international trade are various, the time cost and the price cost consumed in the process of international trade are different, and the efficiency of constantly searching the international trade way suitable for actual requirements by users is very low. The efficiency of the user carrying out international trade is improved and the cost is saved.
To facilitate understanding of the present embodiment, first, a detailed description is given to a block chain-based trading supply chain recommendation method disclosed in the embodiment of the present invention, where the block chain-based trading supply chain recommendation method may be applied to a block chain network, the block chain network is communicatively connected to a plurality of service platforms, and the plurality of service platforms are ordered according to functions of their corresponding supply chain nodes in an international trading supply chain to form a goods supply chain, as shown in fig. 1, where the method may include the following steps:
step S101, acquiring origin, destination and logistics preference information of goods to be transported, which are sent by a service platform;
in the embodiment of the present invention, the international trade initiator may send the origin, the destination, and the logistics preference information of the transported goods to the blockchain network through the service platform, where the logistics preference information may refer to one or more of the logistics factors such as weather, transportation mode, transportation duration, transportation route, and the like, and certainly, in practical applications, the logistics factors may include other factors besides the weather, the transportation mode, the transportation market, and the transportation route, and the embodiments of the present invention are not described in detail.
Step S102, searching a candidate goods supply chain matched with the origin and the destination in a preset supply chain library;
in the embodiment of the present invention, a cargo supply chain of which a transportation route includes the origin and the destination may be searched in a plurality of cargo supply chains of a preset supply chain library, and the searched cargo supply chain is determined as a candidate cargo supply chain, where the transportation route includes the origin and the destination, which may refer to transportation routes having the same origin and the same destination, for example: if the origin of the goods to be transported is A and the destination is B, if a transportation route exists: a, C, B, the goods supply chain corresponding to the transportation route can be considered as a candidate goods supply chain; the inclusion of the origin and the destination for the transportation route may also refer to the origin and destination being part of the entire transportation route, for example: if a transportation route exists: D-A-M-N-B-E, D-A-M-N-B, or A-M-N-B-E, and the like.
Step S103, calculating a supply chain score of each candidate goods supply chain according to historical logistics information of the candidate goods supply chain, the logistics preference information and preset factor weight.
In the embodiment of the invention, the historical logistics information comprises historical logistics data corresponding to a plurality of logistics factors; the logistics factors at least include: weather, mode of transportation, length of transportation, and route of transportation.
The method for recording the historical logistics information can comprise the following steps: receiving logistics information sent by a service platform, wherein the logistics information is sent when a supply chain node corresponding to the service platform starts to transport goods to a next international trade participant, and the logistics information comprises: goods supply chain identification and logistics data corresponding to a plurality of logistics factors; and counting logistics information sent by the service platform aiming at the service platform corresponding to each goods supply chain to obtain historical logistics information of each goods supply chain.
The logistics information comprises logistics data corresponding to a plurality of logistics factors; the logistics factors at least include: weather, transportation mode, transportation duration, transportation cost and transportation route, if the logistics factor is weather, the logistics data corresponding to the logistics factor can be weather data such as sunny days, rainy days, snowfall, strong wind, hail, temperature and the like; if the logistics factor is a transportation mode, the logistics data corresponding to the logistics factor can be airplanes, ships, trains and the like; if the logistics factor is the transportation time, the logistics data corresponding to the logistics factor can refer to 1 day, 36 hours, 72 hours and the like; if the logistics factor is a transportation route, the logistics data can refer to the distance from A to B and C, and the like; if the logistics factor is the transportation cost, the logistics data can indicate different amounts of money such as 5 ten thousand yuan.
When historical logistics information is recorded, logistics data which are uploaded by a plurality of service platforms and contain the identification of each goods supply chain and the corresponding logistics factors can be counted for each goods supply chain, and the whole or partial logistics data corresponding to each logistics factor in each goods supply chain can be obtained, for example, the transportation time of the whole goods supply chain is 3 days, the transportation time of a certain section in the goods supply chain is 8 days, the transportation cost of the certain section in the goods supply chain is 3 ten thousand yuan, and the like.
As shown in fig. 2, step S103 may include the steps of:
step S201, obtaining historical logistics information of each candidate goods supply chain;
step S202, determining a factor weight set according to the logistics preference information, wherein the factor weight set comprises preset factor weights of all logistics factors;
in this step, the cardinal number weight of the logistics factor corresponding to the logistics preference information may be multiplied by a preset multiple to obtain a preference weight; and constructing the factor weight set based on the preference weight of the logistics factor corresponding to the logistics preference information and the basic weights of other logistics factors not corresponding to the logistics preference information.
In embodiments of the invention, the cardinal weight of each stream factor may be the same, for example: 0.1, since the user generally sets the logistics preference information according to the logistics factor of interest, the preset multiple may be a number greater than 1, for example, 2 times or 1.5 times, and so on, for example, if the preset multiple is 2, the calculated preference weight may be 0.2, and if the two logistics factors, i.e., the transportation cost and the transportation time, are the logistics preference information set by the user, the preference weights of the two logistics factors are both 0.2. The basic weights of other logistics factors which do not correspond to the logistics preference information, such as weather, transportation mode, transportation route and the like, are 0.1.
The factor weight set can be composed of preference weight 0.2 corresponding to transportation cost, preference weight 0.2 corresponding to transportation duration, basic weight 0.1 corresponding to weather, basic weight 0.1 corresponding to transportation mode and basic weight 0.1 corresponding to transportation route.
Step S203, scoring each candidate goods supply chain according to historical logistics data corresponding to each logistics factor information and preset factor weight to obtain a supply chain score.
As shown in fig. 3, the step S203 may include the steps of:
step S301, acquiring historical data of a plurality of candidate goods supply chains corresponding to each logistics factor;
for example, historical data corresponding to the transportation cost of each candidate goods supply chain, historical data corresponding to the transportation time length of each candidate goods supply chain, and the like can be obtained, for example, the transportation cost of the candidate goods supply chain a is 3 ten thousand yuan, the transportation cost of the candidate goods supply chain B is 5 ten thousand yuan, the transportation cost of the candidate goods supply chain C is 9 ten thousand yuan, and the like, and the transportation time length of the candidate goods supply chain a is 1 day, the transportation time length of the candidate goods supply chain B is 5 days, the transportation time length of the candidate goods supply chain C is 7 days, and the like.
Step S302, dividing a plurality of data intervals according to the maximum difference among a plurality of historical data;
for example, if the maximum difference between the transportation cost of 3 ten thousand yuan for the candidate cargo supply chain a, the transportation cost of 5 ten thousand yuan for the candidate cargo supply chain B, and the transportation cost of 9 ten thousand yuan for the candidate cargo supply chain C is 6 ten thousand yuan, 6 may be divided by 3 and equal to 2, 3 to 5 may be determined as a data interval 1, 5 to 7 may be determined as a data interval 2, 7 to 9 may be determined as a data interval 3, the transportation cost of 3 ten thousand yuan for the candidate cargo supply chain a falls in the data interval 1, the transportation cost of 5 ten thousand yuan for the candidate cargo supply chain B falls in the data interval 2, and the transportation cost of 9 ten thousand yuan for the candidate cargo supply chain C falls in the data interval 3.
Step S303, setting different data scores for the historical data in different data intervals;
in practical applications, the international trade initiator may generally expect that the lower the transportation cost, the better, the data score of the data interval 1 may be set as the maximum data score, the data score range may be an integer in the range of 1-10, an integer in the range of 1-100, and so on.
Step S304, multiplying the data score corresponding to each logistics factor by a preset factor weight for each cargo supply chain to obtain a plurality of product results;
if the data score of the data interval 1 is 9, the data score of the data interval 2 is 6, and the data score of the data interval 3 is 3, the data score of the data interval 1 corresponding to the transportation cost 9 x the preference weight corresponding to the transportation cost can be obtained to obtain the product result corresponding to the transportation cost, and the calculation modes of the other logistics factors are the same, and are not repeated here.
In step S305, the multiple product results are added to obtain a supply chain score.
In this step, the product results corresponding to the plurality of different logistics factors obtained in step S304 may be added to obtain the supply chain score.
And step S104, recommending the target goods supply chain with the highest supply chain score to the service platform.
In this step, the target goods supply chain with the highest supply chain score may be recommended to the service platform by sending a recommendation scheme including an identifier of the target goods supply chain, historical data of each logistics factor, and a supply chain score to the service platform.
The embodiment of the invention firstly obtains the origin, destination and logistics preference information of goods to be transported, which are sent by a service platform; then, searching a candidate goods supply chain matched with the origin and the destination in a preset supply chain library; calculating a supply chain score of each candidate goods supply chain according to historical logistics information of the candidate goods supply chain, the logistics preference information and preset factor weight, wherein the historical logistics information comprises historical logistics data corresponding to a plurality of logistics factors; and finally recommending the target goods supply chain with the highest supply chain score to the service platform.
The embodiment of the invention can determine the target goods supply chain which is most matched with the actual requirements of the user in the preset supply chain library according to the origin, the destination and the logistics preference information of the goods to be transported, so that the user can obtain the most suitable international trade way without gradually groping, the time cost and the price cost consumed in the gradual groping process of the user are reduced, the efficiency of the user in carrying out international trade is improved, and the cost is saved.
In another embodiment of the present invention, as shown in fig. 4, there is also provided a blockchain-based trade supply chain recommendation apparatus applied to a blockchain network, the apparatus including:
the acquisition module 11 is configured to acquire origin, destination, and logistics preference information of the goods to be transported, which are sent by the service platform;
a searching module 12, configured to search a preset supply chain library for candidate goods supply chains matching the origin and the destination;
the calculation module 13 is configured to calculate a supply chain score of each candidate cargo supply chain according to historical logistics information of the candidate cargo supply chain, the logistics preference information, and preset factor weights, where the historical logistics information includes historical logistics data corresponding to a plurality of logistics factors;
and the recommending module 14 is used for recommending the target goods supply chain with the highest supply chain score to the service platform.
The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments.
In another embodiment of the present invention, the calculating module 13 includes:
the acquisition unit is used for acquiring historical logistics information of each candidate goods supply chain;
the determining unit is used for determining a factor weight set according to the logistics preference information, wherein the factor weight set comprises preset factor weights of all logistics factors;
and the scoring unit is used for scoring each candidate goods supply chain according to historical logistics data corresponding to each logistics factor information and preset factor weight to obtain a supply chain score.
In another embodiment of the present invention, the block chain network is communicatively connected to a plurality of service platforms, the plurality of service platforms form a goods supply chain by sorting according to functions of corresponding supply chain nodes in an international trade supply chain, and the method for acquiring the unit to record the historical logistics information includes:
receiving logistics information sent by a service platform, wherein the logistics information is sent when a supply chain node corresponding to the service platform starts to transport goods to a next international trade participant, and the logistics information comprises: goods supply chain identification and logistics data corresponding to a plurality of logistics factors;
and counting logistics information sent by the service platform aiming at the service platform corresponding to each goods supply chain to obtain historical logistics information of each goods supply chain.
In a further embodiment of the present invention, the scoring unit is configured to:
aiming at each logistics factor, acquiring historical data of a plurality of candidate goods supply chains corresponding to the logistics factor;
dividing a plurality of data intervals according to the maximum difference value among a plurality of historical data;
setting different data scores for historical data in different data intervals;
for each goods supply chain, multiplying the data score corresponding to each logistics factor by a preset factor weight to obtain a plurality of product results;
and adding the multiple product results to obtain a supply chain score.
In a further embodiment of the present invention, the logistics preference information comprises one or more of logistics factors, and the determining unit is configured to:
multiplying the cardinal number weight of the logistics factor corresponding to the logistics preference information by a preset multiple to obtain a preference weight;
and constructing the factor weight set based on the preference weight of the logistics factor corresponding to the logistics preference information and the basic weights of other logistics factors not corresponding to the logistics preference information.
In another embodiment of the present invention, the search module 12 includes:
and searching for a goods supply chain of which the transportation route comprises the origin and the destination from a plurality of goods supply chains of a preset supply chain library, and determining the searched goods supply chain as a candidate goods supply chain.
In yet another embodiment of the present invention, the logistics factor includes at least: weather, mode of transportation, length of transportation, and route of transportation.
In yet another embodiment of the present invention, an electronic device is further provided, which includes a memory and a processor, where the memory stores a computer program executable on the processor, and the processor implements the steps of the method described in the above method embodiment when executing the computer program.
The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments.
In yet another embodiment of the present invention, there is also provided a computer readable medium having non-volatile program code executable by a processor, the program code causing the processor to perform the method of the method embodiment.
The computer program product of the trade supply chain recommendation method based on the block chain provided by the embodiment of the present invention includes a computer readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment, which is not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (8)
1. A block chain-based trade supply chain recommendation method is applied to a block chain network, and comprises the following steps:
acquiring origin, destination and logistics preference information of goods to be transported, which are sent by a service platform;
searching a candidate goods supply chain matched with the origin and the destination in a preset supply chain library;
calculating a supply chain score of each candidate goods supply chain according to historical logistics information of the candidate goods supply chain, the logistics preference information and preset factor weight, wherein the historical logistics information comprises historical logistics data corresponding to a plurality of logistics factors;
recommending a target goods supply chain with the highest supply chain score to the service platform;
calculating a supply chain score of each candidate goods supply chain according to the logistics preference information and preset factor weight, wherein the supply chain score comprises the following steps:
obtaining historical logistics information of each candidate goods supply chain;
determining a factor weight set according to the logistics preference information, wherein the factor weight set comprises preset factor weights of all logistics factors;
scoring each candidate goods supply chain according to historical logistics data corresponding to each logistics factor information and preset factor weight to obtain a supply chain score;
the block chain network is in communication connection with a plurality of service platforms, the plurality of service platforms are ranked according to functions of supply chain nodes corresponding to the service platforms in an international trade supply chain to form a goods supply chain, and the method for recording the historical logistics information comprises the following steps:
receiving logistics information sent by a service platform, wherein the logistics information is sent when a supply chain node corresponding to the service platform starts to transport goods to a next international trade participant, and the logistics information comprises: goods supply chain identification and logistics data corresponding to a plurality of logistics factors;
and counting logistics information sent by the service platform aiming at the service platform corresponding to each goods supply chain to obtain historical logistics information of each goods supply chain.
2. The method as claimed in claim 1, wherein the step of scoring each candidate goods supply chain according to historical logistics data corresponding to each piece of logistics factor information and a preset factor weight to obtain a supply chain score comprises:
aiming at each logistics factor, acquiring historical data of a plurality of candidate goods supply chains corresponding to the logistics factor;
dividing a plurality of data intervals according to the maximum difference value among a plurality of historical data;
setting different data scores for historical data in different data intervals;
for each goods supply chain, multiplying the data score corresponding to each logistics factor by a preset factor weight to obtain a plurality of product results;
and adding the multiple product results to obtain a supply chain score.
3. The blockchain-based commerce supply chain recommendation method of claim 1, wherein the logistics preference information includes one or more of logistics factors, the determining a set of factor weights from the logistics preference information comprising:
multiplying the cardinal number weight of the logistics factor corresponding to the logistics preference information by a preset multiple to obtain a preference weight;
and constructing the factor weight set based on the preference weight of the logistics factor corresponding to the logistics preference information and the basic weights of other logistics factors not corresponding to the logistics preference information.
4. The block chain based trading supply chain recommendation method according to claim 1, wherein the searching for candidate goods supply chains matching the origin and destination in a preset supply chain library comprises:
and searching for a goods supply chain of which the transportation route comprises the origin and the destination from a plurality of goods supply chains of a preset supply chain library, and determining the searched goods supply chain as a candidate goods supply chain.
5. The blockchain-based trading supply chain recommendation method of claim 1, wherein the logistic factors include at least: weather, mode of transportation, length of transportation, and route of transportation.
6. A blockchain-based trade supply chain recommendation device applied to a blockchain network, the device comprising:
the acquisition module is used for acquiring the origin, destination and logistics preference information of the goods to be transported, which are sent by the service platform;
the searching module is used for searching a candidate goods supply chain matched with the origin and the destination in a preset supply chain library;
the calculation module is used for calculating a supply chain score of each candidate goods supply chain according to historical logistics information of the candidate goods supply chain, the logistics preference information and preset factor weight, wherein the historical logistics information comprises historical logistics data corresponding to a plurality of logistics factors;
the recommending module is used for recommending the target goods supply chain with the highest supply chain score to the service platform;
the calculation module comprises:
the acquisition unit is used for acquiring historical logistics information of each candidate goods supply chain;
the determining unit is used for determining a factor weight set according to the logistics preference information, wherein the factor weight set comprises preset factor weights of all logistics factors;
the scoring unit is used for scoring each candidate cargo supply chain according to historical logistics data corresponding to each logistics factor information and preset factor weight to obtain a supply chain score;
the block chain network is in communication connection with a plurality of service platforms, the plurality of service platforms are ranked according to functions of supply chain nodes corresponding to the service platforms in an international trade supply chain to form a goods supply chain, and the method for acquiring the unit to record the historical logistics information comprises the following steps:
receiving logistics information sent by a service platform, wherein the logistics information is sent when a supply chain node corresponding to the service platform starts to transport goods to a next international trade participant, and the logistics information comprises: goods supply chain identification and logistics data corresponding to a plurality of logistics factors;
and counting logistics information sent by the service platform aiming at the service platform corresponding to each goods supply chain to obtain historical logistics information of each goods supply chain.
7. An electronic device comprising a memory and a processor, wherein the memory stores a computer program operable on the processor, and wherein the processor implements the steps of the method of any of claims 1 to 5 when executing the computer program.
8. A computer-readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform the method of any of claims 1-5.
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