CN111882104A - Logistics freight rate prediction method and system based on block chain and Oracle prediction machine - Google Patents
Logistics freight rate prediction method and system based on block chain and Oracle prediction machine Download PDFInfo
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Abstract
The invention discloses a logistics freight rate prediction method and a logistics freight rate prediction system based on a block chain and an Oracle prediction machine, and relates to the technical field of logistics freight rate evaluation. The invention comprises the following steps: the logistics platform and the logistics demand side release freight rate forecasting demands on a logistics information system or a website of the logistics platform and the logistics demand side according to the logistics transportation mode and the route; the ChainLink intelligent contract is that the prediction machine records an event; the ChainLink Core receives the event and routes the task to the adapter; the ChainLink adapter sends a request to an external API; the ChainLink adapter processes the response and returns it to the Core; the ChainLink Core reports the data to the ChainLink intelligent contract; and the ChainLink intelligent contracts summarize responses, obtain a final feedback by weighting, and send the final feedback to the user intelligent contracts. The method is applied to logistics freight rate prediction by adopting a block chain technology and a storage technology of an ORACLE system, so that the logistics freight rate prediction is more scientific, the informatization processing is more economic, and the feedback is more timely.
Description
Technical Field
The invention belongs to the technical field of logistics freight rate evaluation, and particularly relates to a logistics freight rate prediction method and a logistics freight rate prediction system based on a block chain and an Oracle prediction machine.
Background
The logistics provides transportation services, mainly through freight vehicles, train wagons, ships and airplanes of roads, railways, water transportation channels and aviation systems to provide transportation capacity services, in the development of the services, various transportation carriers need to be purchased, road and bridge fees, customs fees and taxes are paid, and corresponding costs can be generated due to the investment of infrastructure, oil and gas, consumables, personnel wages, management fees and the like, wherein the costs are fixed and changed, and the costs are different along with the reasons of different seasons, different scale effects, different technical levels, different management levels and the like, so that the quotations of all service main bodies of the same logistics transportation service are different in the logistics services of similar transportation of various carriers.
At present, different quotations are given by related professional bodies according to different cost structures, expected profits and cost measuring and calculating methods of the related professional bodies of freight transportation service businesses; quotes are generally based on current experience and data, with reference to sales forecasts and cost estimates; this brings difficulty to the logistics transportation demander and service side with respect to the achievement of business; there is no objective and scientific logistics freight rate prediction method and system in the market.
In summary, the freight rate prediction of the existing logistics transportation service has some defects:
(1) for a large logistics service company, a general operation and income department and a cost department are divided, marketing expectation and actual cost are different departments, a selling department has too low quotation due to the consideration of performance, the actual cost is high or greatly changed when the department purchases transportation service, and finally the whole company has low profit or generates negative profit due to improper quotation;
(2) for a plurality of medium and small-sized logistics service companies, the companies generally quote according to current experience, but the influence factors of the freight rate are changed at any time along with the influence of seasonal conditions, market supply and demand conditions, actual operation requirements and policy changes, the freight rates of the companies often lack market and data bases, the quotes cannot be comprehensively considered, and the subsequent service capacity is influenced due to over-high or over-low quoted prices;
(3) for various goods owners of demand parties, the freight rate expenditure of business is generally measured according to the current delivery experience and the quotes of a plurality of logistics companies; based on the above analysis, the basis is unscientific and ineffective, so that the shipper needs to improve the freight rate prediction method and system.
Therefore, in summary, no matter whether it is a large or small logistics company or various goods owners, because of individual wisdom and limited data, it cannot provide a scientific and reasonable quotation method and system for influencing factors such as market environment, supply and demand dynamics, etc. that change at any time.
Therefore, the key point of the logistics scientific quotation is to ensure that the data source is rich and credible and the group intelligence is exerted; by means of the characteristics of non-falsification and encryption technology of a block chain and technologies of multipoint credible data, distributed storage, direct calling of a data interface, intelligent contracts and the like of an ORACLE machine system (ORACLE), a credible, scientific and marketable logistics freight rate prediction method and system can be effectively created.
Disclosure of Invention
The invention aims to provide a logistics freight rate prediction method and a logistics freight rate prediction system based on a block chain and an Oracle prediction machine, and the logistics freight rate prediction method is created by relying on the characteristics of the block chain that the block chain cannot be tampered and the encryption technology, and the technologies of multipoint credible data, distributed storage, direct data interface calling, intelligent contracts and the like of the prediction machine system, so that the problems that the freight rate of the existing logistics service company lacks market and data bases, and the subsequent service capability is influenced due to unreasonable quotation are solved.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a logistics freight rate prediction method based on a block chain and an Oracle prediction machine, which comprises the following steps:
step S1: the logistics platform and the logistics demand side release freight rate prediction demands on a logistics information system or a website of the logistics platform and the logistics demand side, direct practitioners such as logistics companies, logistics platforms, goods owners and car owners actively adjust freight rate expectations at any time according to market conditions, policies and supply and demand conditions, the openness of freight rates is guaranteed, and information is highly transparent; the reliability problem of a single freight rate party is avoided;
step S2: the ChainLink intelligent contract is that the prediction machine records an event;
step S3: the ChainLink Core receives the event and routes the task to the adapter;
step S4: the ChainLink adapter sends a request to an external API;
step S5: the ChainLink adapter processes the response and returns it to the Core;
step S6: the ChainLink Core reports the data to the ChainLink intelligent contract;
step S7: and the ChainLink intelligent contracts summarize responses, obtain a final feedback by weighting, send the final feedback to the user intelligent contracts and finally appear in an information system of a logistics freight rate prediction demand publisher.
Preferably, in the step S2, the Chainlink is used to provide a method for assisting the intelligent contract to access the off-key resources, the website API and other trusted logistics freight rate data; the scheme of the ORACLE forecast machine system is used for replacing the limitation of single-point, single-dimension and small amount of data of the original logistics company, a logistics information platform and an owner, and freight rate data are collected from multiple dimensions, multiple points, multiple objects and multiple areas.
Preferably, a reputation evaluation system of a pair of nodes is arranged in the Chainlink, an information demand party can select a node with a specific reputation level, the reputation score of each node can be updated after information feedback every time, and a block chain and a prediction machine system adopt a specification and a protocol based on negotiation consistency so that all nodes in the whole system can freely and safely exchange data in a distrust-free environment, trust of a human is changed into trust of a machine, and any human intervention does not work;
because the exchange among the nodes follows a fixed algorithm and rules, the data interaction is not required to be trusted, and therefore, a counterparty does not need to make the counterparty trust the counterparty by disclosing the identity, and the method is very helpful for accumulating the credit.
Preferably, the data of the Chainlink query includes URL links of the internet, data of a search engine, data of other block chains and data of sensors, and once the logistics freight rate prediction passes through the block chains and the prediction machine system chain, the data cannot be changed, so that the data stability and reliability are extremely high.
Preferably, in step S4, the external API includes other logistics platform freight rates, price tables and quotation systems of mainstream logistics companies, cost structure data of freight vehicles, and quotation data of direct practitioners of the logistics community.
The invention relates to a logistics freight rate prediction system based on a block chain and an Oracle prediction machine, which comprises an API (application program interface), a CHAINLINK prediction machine system and a block chain bottom platform,
the API comprises a logistics platform freight rate system, a large-scale logistics company sales quotation official website, a logistics industry association guidance freight rate system and logistics community direct practitioner quotation data;
the CHAINLINK predictive engine system includes reputation contracts, order matching contracts, and summary contracts;
and the block chain bottom platform respectively performs data interaction with the API and CHAINLINK prediction machine systems through a data transmission and storage module.
The invention has the following beneficial effects:
(1) the method adopts a block chain technology and a storage technology of an ORACLE system, is applied to logistics freight rate prediction, collects mainstream and multi-party credible logistics real-time cost and quotation data based on the ORACLE prediction machine system, and can be scientifically and closely attached to the real supply and demand of the market; based on the characteristics of irreversible and non-falsifiable block chain timestamps and the characteristics of multi-dimensional, multi-data source and real-time acquisition of a prediction machine system, the prediction of the logistics freight rate is more scientific, the informatization processing is more economical, and the feedback is more timely.
(2) The method is changed from a single quotation main body to a multi-quotation unit and a technical verification main body, and the problems of universality and credibility of the freight rate are solved based on the technology and the rules rather than the mature relationship; the logistics freight rate information is submitted or captured to a block chain and an ORACLE system, through an encryption verification mechanism, the real information of the logistics freight rate is disclosed to the society, a user is ensured to obtain effective real information, the timeliness of the logistics freight rate is enhanced, and the problems of later-stage artificial modification and dispute are avoided.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block chain and Oracle prediction machine-based logistics freight rate prediction method step diagram;
fig. 2 is a schematic diagram of a logistics freight rate prediction system based on a block chain and an Oracle ora.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Referring to fig. 1, the present invention is a logistics freight rate prediction method based on a block chain and an Oracle forecasting machine, including the following steps:
step S1: the logistics platform and the logistics demand side release freight rate prediction demands on a logistics information system or a website of the logistics platform and the logistics demand side, direct practitioners such as logistics companies, logistics platforms, goods owners and car owners actively adjust freight rate expectations at any time according to market conditions, policies and supply and demand conditions, the openness of freight rates is guaranteed, and information is highly transparent; the reliability problem of a single freight rate party is avoided;
step S2: the ChainLink intelligent contract is that the prediction machine records an event;
step S3: the ChainLink Core receives the event and routes the task to the adapter;
step S4: the ChainLink adapter sends a request to an external API;
step S5: the ChainLink adapter processes the response and returns it to the Core;
step S6: the ChainLink Core reports the data to the ChainLink intelligent contract;
step S7: and the ChainLink intelligent contracts summarize responses, obtain a final feedback by weighting, send the final feedback to the user intelligent contracts and finally appear in an information system of a logistics freight rate prediction demand publisher.
In step S2, the Chainlink is used to provide a service for helping the intelligent contract to access resources outside the key chain, the website API, and other trusted logistics freight rate data; the scheme of the ORACLE forecast machine system is used for replacing the limitation of single-point, single-dimension and small amount of data of the original logistics company, a logistics information platform and an owner, and freight rate data are collected from multiple dimensions, multiple points, multiple objects and multiple areas.
The Chainlink is internally provided with a credit evaluation system of a pair of nodes, an information demand party can select nodes with a specific credit level, the credit score of each node can be updated after information feedback every time, and a block chain and a prediction machine system adopt a specification and a protocol based on negotiation consistency to enable all the nodes in the whole system to freely and safely exchange data in a distrust-free environment, so that trust of people is changed into trust of machines, and any artificial intervention does not work;
because the exchange among the nodes follows a fixed algorithm and rules, the data interaction is not required to be trusted, and therefore, a counterparty does not need to make the counterparty trust the counterparty by disclosing the identity, and the method is very helpful for accumulating the credit.
The data queried by the Chainlink comprises URL links of the internet, data of a search engine, data of other block chains and data of sensors, and once logistics freight rate prediction passes through the block chains and the prediction machine system uplink, the data cannot be changed, so that the data stability and reliability are extremely high.
In step S4, the external API includes the operational prices of other logistics platforms, price tables and quotation systems of mainstream logistics companies, cost structure data of freight vehicles, and quotation data of direct practitioners in the logistics community.
Referring to fig. 2, the present invention is a logistics freight rate forecasting system based on block chain and Oracle forecasting machine, including API, chain forecasting machine system and block chain bottom platform,
the API comprises a logistics platform freight rate system, a large-scale logistics company sales quotation official network, a logistics industry association guidance freight rate system and logistics community direct practitioner quotation data;
CHAINLINK the predictive engine system includes reputation contracts, order matching contracts, and summary contracts;
the block chain bottom platform is respectively in data interaction with the API and CHAINLINK prediction machine system through the data transmission and storage module, and a block for recording freight rate information on the block chain has the characteristics of being not falsifiable and traceable, so that once the logistics freight rate information is linked, any person can not change related information, the timeliness of the logistics freight rate is enhanced, and the problems of later-stage manual modification and dispute are avoided.
It should be noted that, in the above system embodiment, each included unit is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
In addition, it is understood by those skilled in the art that all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing associated hardware, and the corresponding program may be stored in a computer-readable storage medium.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. A logistics freight rate prediction method based on a block chain and an Oracle prediction machine is characterized by comprising the following steps:
step S1: the logistics platform and the logistics demand side release freight rate forecasting demands on a logistics information system or a website of the logistics platform and the logistics demand side according to the logistics transportation mode and the route;
step S2: the ChainLink intelligent contract is that the prediction machine records an event;
step S3: the ChainLink Core receives the event and routes the task to the adapter;
step S4: the ChainLink adapter sends a request to an external API;
step S5: the ChainLink adapter processes the response and returns it to the Core;
step S6: the ChainLink Core reports the data to the ChainLink intelligent contract;
step S7: and the ChainLink intelligent contracts summarize responses, obtain a final feedback by weighting, send the final feedback to the user intelligent contracts and finally appear in an information system of a logistics freight rate prediction demand publisher.
2. The logistics freight rate prediction method based on the blockchain and the Oracle prediction machine as claimed in claim 1, wherein in step S2, Chainlink is used to provide data for assisting the intelligent contract to access resources outside the key chain, the API of the website and other credible logistics freight rate data.
3. The logistics freight rate prediction method based on the block chain and the Oracle prediction machine according to claim 1 or 2, characterized in that a reputation evaluation system of a pair of nodes is arranged in the Chainlink, an information demand party can select a node with a specific reputation level, and the reputation score of each node is updated after each information feedback.
4. The logistics freight rate prediction method based on the blockchain and the Oracle prediction machine as claimed in claim 3, wherein the data of the Chainlink query comprises URL links of the Internet, search engines, data of other blockchains and data of sensors.
5. The logistics freight rate prediction method based on the blockchain and the Oracle ora.
6. A logistics freight rate prediction system based on a block chain and an Oracle prediction machine comprises an API, a CHAINLINK prediction machine system and a block chain bottom platform, and is characterized in that,
the API comprises a logistics platform freight rate system, a large-scale logistics company sales quotation official website, a logistics industry association guidance freight rate system and logistics community direct practitioner quotation data;
the CHAINLINK predictive engine system includes reputation contracts, order matching contracts, and summary contracts;
and the block chain bottom platform respectively performs data interaction with the API and CHAINLINK prediction machine systems through a data transmission and storage module.
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