CN117376444B

CN117376444B - Yangtze river shipping data uplink method and system based on intelligent contract

Info

Publication number: CN117376444B
Application number: CN202311123784.2A
Authority: CN
Inventors: 邓燕; 张扬; 齐蒙蒙; 杜经农; 严季; 张罡; 朱锐
Original assignee: Yangtze River Water Traffic Monitoring And Emergency Response Center
Current assignee: Yangtze River Water Traffic Monitoring And Emergency Response Center
Filing date: 2023-08-30
Publication date: 2024-07-02
Anticipated expiration: 2043-08-30

Abstract

The invention discloses a Yangtze river shipping data linking method and system based on intelligent contracts, wherein the method comprises the following steps: acquiring the navigation data nodes of a plurality of navigation sections of the Yangtze river, extracting the Yangtze river navigation data of each navigation data node, forming an Yangtze river navigation data set of each navigation data node, carrying out standardized processing on the Yangtze river navigation data in each Yangtze river navigation data set, and generating standardized Yangtze river navigation data of each Yangtze river navigation data in each Yangtze river navigation data set; setting a comprehensive standardization model of the Yangtze river shipping data, and calculating a comprehensive standardization value of each Yangtze river shipping data set according to the relativity between the standardized Yangtze river shipping data and the standardized Yangtze river shipping data so as to complete comprehensive standardization of each Yangtze river shipping data set; mapping the shipping data nodes into a blockchain to form a plurality of blockchain nodes comprising the Yangtze river shipping data sets, and carrying out propagation sharing on the Yangtze river shipping data sets after comprehensive standardization through intelligent contracts of the blockchain.

Description

Yangtze river shipping data uplink method and system based on intelligent contract

Technical Field

The invention belongs to the technical field of blockchain intelligent contracts, and particularly relates to a Yangtze river shipping data uplink method and system based on intelligent contracts.

Background

Shipping data sharing has become an important trend within the industry. The following are some common scenarios regarding shipping data sharing:

digital transformation: the shipping industry is actively performing digital transformation, converting traditional paper processes and manual operations into digital systems. This allows the shipping data to be more easily captured, recorded and stored, creating a basis for data sharing.

Internet of things (IoT) technology: the application of the internet of things technology enables ships, containers, equipment and the like to acquire and transmit data in real time through the sensor. The data comprise information such as the position, the sailing state and the cargo temperature of the ship, and a more dimensional data source is provided for sharing shipping data.

A data sharing platform: specialized platforms have emerged that are intended to facilitate sharing of shipping data. These platforms can aggregate data from different shipping service participants, such as shippers, ports, owners, etc., for more extensive data exchange.

However, due to the complexity of the shipping data, there is no mature technical solution in the current prior art, which can efficiently process the complex shipping data.

Disclosure of Invention

In order to solve the technical characteristics, the invention provides a Yangtze river shipping data linking method based on intelligent contracts, which comprises the following steps:

Acquiring the voyage data nodes of a plurality of voyages of the Yangtze river, extracting the voyage data of each voyage data node, forming a voyage data set of each voyage data node, carrying out standardized processing on the voyage data in each voyage data set, and generating standardized voyage data of each voyage data in each voyage data set;

setting a Yangtze river shipping data comprehensive standardization model, and calculating a comprehensive standardization value of each Yangtze river shipping data set according to the relativity between the standardized Yangtze river shipping data and the standardized Yangtze river shipping data so as to complete comprehensive standardization of each Yangtze river shipping data set;

Mapping the shipping data nodes into a blockchain to form a plurality of blockchain nodes comprising the Yangtze river shipping data sets, and carrying out propagation sharing on the Yangtze river shipping data sets after comprehensive standardization through intelligent contracts of the blockchain.

Further, the Yangtze river shipping data comprehensive standardization model comprises:

Wherein U (D) is the comprehensive standardized value of the Yangtze river shipping data set D of each blockchain node, W '_i,j is the j-th component of the i-th weight vector W', Z (D _j) is the standardized value of the j-th Yangtze river shipping data in the Yangtze river shipping data set D, R _i,j is the association degree of the i-th Yangtze river shipping data and the j-th Yangtze river shipping data in the Yangtze river shipping data set D, gamma _j is the weight of the j-th Yangtze river shipping data in the Yangtze river shipping data set D, T is the acquisition time of the Yangtze river shipping data set D, δi is the influence factor of the acquisition time on the i-th Yangtze river shipping data in the Yangtze river shipping data set D, N is the number of the Yangtze river shipping data in the Yangtze river shipping data set D, and beta _j is the regularized parameter of the j-th Yangtze river shipping data in the Yangtze river shipping data set D.

Further, calculating the correlation R _i,j between the ith and jth Yangtze river shipping data in the Yangtze river shipping data set D includes:

wherein W' _f is the F component of the feature weight, F _i,f is the F feature vector of the i-th Yangtze river shipping data in the Yangtze river shipping data set D, F _j,f is the F feature vector of the j-th Yangtze river shipping data in the Yangtze river shipping data set D, M is the number of feature vectors, and lambda is the time-decay adjustment parameter.

Wherein T' is the number of time points, W _f (T) is the weight of the f-th feature vector at the time point T, G (P _i,P_j, T) is the influence of the geographic position factor and the time factor on the relevance, P _i is the geographic information of the ith Yangtze river shipping data in the Yangtze river shipping data set D, and P _j is the geographic information of the jth Yangtze river shipping data in the Yangtze river shipping data set D.

Further, the influence G (P _i,P_j, t) of the geographic location factor and the time factor on the association degree includes:

Where σ is the standard deviation of the geographic information and W' "_time (T) is the time weight.

Further, the time weight W' "_time (T) includes:

Wherein t _current is the current time point.

The invention also provides a Yangtze river shipping data linking system based on the intelligent contract, which comprises:

The data acquisition module is used for acquiring the voyage data nodes of a plurality of voyages of the Yangtze river, extracting the voyage data of each voyage data node, forming a voyage data set of each voyage data node, carrying out standardization processing on the voyage data in each voyage data set, and generating standardized voyage data of each voyage data in each voyage data set;

The standardized module is used for setting a comprehensive standardized model of the Yangtze river shipping data, and calculating a comprehensive standardized value of each Yangtze river shipping data set according to the correlation between the standardized Yangtze river shipping data and the standardized Yangtze river shipping data so as to complete comprehensive standardization of each Yangtze river shipping data set;

And the uplink sharing module is used for mapping the shipping data nodes into a blockchain to form a plurality of blockchain nodes comprising the Yangtze river shipping data sets, and carrying out propagation sharing on the Yangtze river shipping data sets after comprehensive standardization through intelligent contracts of the blockchain.

Wherein U (D) is the comprehensive standardized value of the Yangtze river shipping data set D of each blockchain node, W '_i,j is the jj component of the ith weight vector W', Z (D _j) is the standardized value of the jj th Yangtze river shipping data in the Yangtze river shipping data set D, R _i,j is the association degree of the i th Yangtze river shipping data and the j th Yangtze river shipping data in the Yangtze river shipping data set D, gamma _j is the weight of the jj th Yangtze river shipping data in the Yangtze river shipping data set D, T is the acquisition time of the Yangtze river shipping data set D, delta _i is the influence factor of the acquisition time on the i th Yangtze river shipping data in the Yangtze river shipping data set D, N is the number of the Yangtze river shipping data in the Yangtze river shipping data set D, and beta _j is the j th regularization parameter of the Yangtze river shipping data in the Yangtze river shipping data set D.

Wherein W' _f is the F component of the feature weight, F _i,f is the F feature vector of the i th Yangtze river shipping data in Yangtze river shipping data set D, F _j,f is the F feature vector of the jj th Yangtze river shipping data in Yangtze river shipping data set D, M is the number of feature vectors, and lambda is the adjustment parameter of time attenuation.

Further, the time weight W' "_time (T) includes:

Wherein t _current is the current time point.

Compared with the prior art, the technical scheme of the invention has the following beneficial effects:

The invention acquires the voyage data nodes of a plurality of voyages of the Yangtze river, extracts the voyage data of each voyage data node, forms a voyage data set of each voyage data node, performs standardized processing on the voyage data in each voyage data set, and generates standardized voyage data of each voyage data in each voyage data set; setting a Yangtze river shipping data comprehensive standardization model, and calculating a comprehensive standardization value of each Yangtze river shipping data set according to the relativity between the standardized Yangtze river shipping data and the standardized Yangtze river shipping data so as to complete comprehensive standardization of each Yangtze river shipping data set; mapping the shipping data nodes into a blockchain to form a plurality of blockchain nodes comprising the Yangtze river shipping data sets, and carrying out propagation sharing on the Yangtze river shipping data sets after comprehensive standardization through intelligent contracts of the blockchain. By the technical scheme, the complex Yangtze river shipping data of a plurality of nodes can be standardized, and efficiency is improved for the uplink of the rear block chain.

Drawings

FIG. 1 is a flow chart of embodiment 1 of the present invention;

fig. 2 is a block diagram of a system of embodiment 2 of the present invention.

Detailed Description

In order to better understand the above technical solutions, the following detailed description will be given with reference to the accompanying drawings and specific embodiments.

The method provided by the invention can be implemented in a terminal environment, wherein the terminal can comprise one or more of the following components: processor, storage medium, and display screen. Wherein the storage medium has stored therein at least one instruction that is loaded and executed by the processor to implement the method described in the embodiments below.

The processor may include one or more processing cores. The processor connects various parts within the overall terminal using various interfaces and lines, performs various functions of the terminal and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the storage medium, and invoking data stored in the storage medium.

The storage medium may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (ROM). The storage medium may be used to store instructions, programs, code sets, or instructions.

The display screen is used for displaying a user interface of each application program.

All subscripts in the formula of the invention are only used for distinguishing parameters and have no practical meaning.

In addition, it will be appreciated by those skilled in the art that the structure of the terminal described above is not limiting and that the terminal may include more or fewer components, or may combine certain components, or a different arrangement of components. For example, the terminal further includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, a power supply, and the like, which are not described herein.

Example 1

As shown in fig. 1, an embodiment of the present invention provides a method for linking Yangtze river shipping data based on intelligent contracts, including:

Step 101, acquiring the voyage data nodes of a plurality of voyages of the Yangtze river, extracting the voyage data of each voyage data node, forming a voyage data set of each voyage data node, carrying out standardization processing on the voyage data in each voyage data set, and generating standardized voyage data of each voyage data in each voyage data set;

102, setting a Yangtze river shipping data comprehensive standardization model, and calculating a comprehensive standardization value of each Yangtze river shipping data set according to the relativity between the standardized Yangtze river shipping data and the standardized Yangtze river shipping data so as to complete comprehensive standardization of each Yangtze river shipping data set;

specifically, the Yangtze river shipping data comprehensive standardization model comprises:

Wherein U (D) is the comprehensive standardized value of the Yangtze river shipping dataset D of each blockchain node, W '_i,j is the j-th component of the i-th weight vector W', Z (D _j) is the standardized value of the j-th Yangtze river shipping data in the Yangtze river shipping dataset D, R _i,j is the association degree of the i-th Yangtze river shipping data and the j-th Yangtze river shipping data in the Yangtze river shipping dataset D, gamma _j is the weight of the j-th Yangtze river shipping data in the Yangtze river shipping dataset D, T is the acquisition time of the Yangtze river shipping dataset D, delta _i is the influence factor of the acquisition time on the i-th Yangtze river shipping data in the Yangtze river shipping dataset D, N is the number of the Yangtze river shipping data in the Yangtze river shipping dataset D, and beta _j is the regularized parameter of the j-th Yangtze river shipping data in the Yangtze river shipping dataset D.

The embodiment sets a Yangtze river shipping data comprehensive standardization model, and aims at:

1. Comprehensive data characteristics: by normalizing and mean normalizing the shipping data, scale differences between the data can be eliminated, ensuring that each data has a similar range and distribution. Helping to better integrate different types of data features in subsequent computations.

2. Consider the relevance: introducing an association matrix may capture the degree of association between different data types. The elements in the correlation matrix reflect the degree of interaction between the data and can help understand the complex relationships between the data.

3. Consider the time factor: introducing time factors allows the model to take into account the variation of the data over different time periods in the calculation. The method is beneficial to capturing the seasonal, periodic and other relevant characteristics, and further enriches the description capability of the model.

4. Introducing a weight vector: introducing weight vectors allows for personalized setting of the degree of attention between different data types. Each weight vector represents the extent to which one type of data affects other data, helping to highlight the importance of some data.

5. Consider the nonlinear relationship: the nonlinear function and the parameters are introduced to better capture the nonlinear relation between the data, so that the calculation of the association degree is more flexible and expressive.

6. And (3) comprehensive calculation: each part in the formula comprehensively considers the relevance, weight, time factor, nonlinear mapping and the like, and obtains a more comprehensive standardized value. This helps to better understand and analyze the relationships between the data as it is processed.

7. Technical effects and benefits: the design of the formula can more accurately reflect the relevance among different data types, and further improves the quality and accuracy of data analysis. By introducing more factors and variables, the requirements of analysis of shipping data in practical application are better met, and more valuable information is provided for decision making.

Specifically, calculating the association degree R _i,j between the ith and jth Yangtze river shipping data in the Yangtze river shipping data set D includes:

Specifically, the influence G (P _i,P_j, t) of the geographic location factor and the time factor on the association degree includes:

Specifically, the time weight W' "_time (T) includes:

Wherein T _current is the current time point, λ is an adjustment parameter of time decay, and is used for controlling the rate of time decay, the larger the λ value is, the faster the time effect is reduced, and the meaning of the formula is that as the distance between the time point T and the current time point T _current is increased, the time weight W' "_time (T) is gradually reduced, and is used for indicating that the earlier time point has less effect on the association degree.

And step 103, mapping the shipping data nodes into a blockchain to form a plurality of blockchain nodes comprising the Yangtze river shipping data sets, and carrying out propagation sharing on the Yangtze river shipping data sets after comprehensive standardization through intelligent contracts of the blockchain.

The following is an example of the present embodiment, as follows:

The Yangtze river shipping data uplink method based on intelligent contracts can provide higher transparency, traceability and safety in the aviation operation industry. A smart contract is an automatically executed computer program that stores and executes code logic on a blockchain. The following steps are employed in this example:

1. Selecting an appropriate blockchain platform: an appropriate blockchain platform is selected, and the instant example uses super ledgers (HYPERLEDGER) to build intelligent contracts and data stores.

2. Designing an intelligent contract: a smart contract is designed, which contains logic for processing shipping data, and the structure, storage mode and operation method of the shipping data are defined by the smart contract.

3. Data acquisition and input: and connecting the real-time Yangtze river shipping data acquisition system with the intelligent contract. Yangtze river shipping data is collected by sensors, marine equipment, etc., and then validated and processed by smart contracts.

4. Data verification and storage: in the smart contracts, received data is verified, ensuring its authenticity and validity. After verification passes, the data is stored on the blockchain to ensure non-tamperability and persistence.

5. Data access control: the rights control mechanism of the smart contract is designed to ensure that only authorized parties can access and update data. This may protect the privacy and security of the data.

6. Event triggering and execution: according to logic of the intelligent contract, trigger conditions are set so that the intelligent contract is automatically executed when a specific event occurs. For example, when a certain ship arrives at a target port, the smart contract may automatically update the corresponding data.

7. Data query and visualization: the user is allowed to query and view the Yangtze river shipping data stored on the blockchain through a user interface or application. Visualization of the data in the form of charts, reports, etc., makes it easier for the user to understand.

8. Auditing and monitoring: the data change on the blockchain is traceable, and the historical change of the data can be audited and monitored at any time. And is helpful to supervise the validity and consistency of the data.

9. Continuous improvement: with the development of the shipping industry, smart contracts and linking methods are continually improved to accommodate new needs and technologies.

Example 2

As shown in fig. 2, the embodiment of the present invention further provides a Yangtze river shipping data linking system based on intelligent contracts, including:

Specifically, the time weight W' "_time (T) includes:

Wherein T _current is the current time point, λ is an adjustment parameter of time decay, and is used for controlling the rate of time decay, the larger the λ value is, the faster the time effect is reduced, the meaning of the formula is that as the distance between the time point T and the current time point T _current is increased, the time weight W' "_time (T) is gradually reduced, and the earlier time point is used for indicating that the effect on the association degree is smaller.

And the standardization module is used for mapping the shipping data nodes into a blockchain to form a plurality of blockchain nodes comprising the Yangtze river shipping data set, and carrying out propagation sharing on the Yangtze river shipping data set after comprehensive standardization through intelligent contracts of the blockchain.

The following is an example of the present embodiment, as follows:

Example 3

The embodiment of the invention also provides a storage medium which stores a plurality of instructions for realizing the Yangtze river shipping data linking method based on the intelligent contract.

Alternatively, in this embodiment, the storage medium may be located in any one of the computer terminals in the computer terminal group in the computer network, or in any one of the mobile terminals in the mobile terminal group.

Alternatively, in the present embodiment, the storage medium is configured to store program code for performing the steps of: step 101, acquiring the voyage data nodes of a plurality of voyages of the Yangtze river, extracting the voyage data of each voyage data node, forming a voyage data set of each voyage data node, carrying out standardization processing on the voyage data in each voyage data set, and generating standardized voyage data of each voyage data in each voyage data set;

Wherein U (D) is the comprehensive standardized value of the Yangtze river shipping data set D of each blockchain node, W '_i,j is the j-th component of the i-th weight vector W', Z (D _j) is the standardized value of the j-th Yangtze river shipping data in the Yangtze river shipping data set D, R _i,j is the association degree of the i-th Yangtze river shipping data and the jj-th Yangtze river shipping data in the Yangtze river shipping data set D, gamma _j is the weight of the j-th Yangtze river shipping data in the Yangtze river shipping data set D, T is the acquisition time of the Yangtze river shipping data set D, delta _i is the influence factor of the acquisition time on the i-th Yangtze river shipping data in the Yangtze river shipping data set D, N is the number of the Yangtze river shipping data in the Yangtze river shipping data set D, and beta _j is the regularized parameter of the j-th Yangtze river shipping data in the Yangtze river shipping data set D.

Specifically, calculating the association degree R _i,j between the i-th Yangtze river shipping data and the jj-th Yangtze river shipping data in the Yangtze river shipping data set D includes:

Wherein W' _f is the T component of the feature weight, F _i,f is the F feature vector of the i-th Yangtze river shipping data in the Yangtze river shipping data set D, F _j,f is the F feature vector of the j-th Yangtze river shipping data in the Yangtze river shipping data set D, M is the number of feature vectors, and lambda is the time-decay adjustment parameter.

Specifically, the time weight W' "_time (T) includes:

The following is an example of the present embodiment, as follows:

Example 4

The embodiment of the invention also provides electronic equipment, which comprises a processor and a storage medium connected with the processor, wherein the storage medium stores a plurality of instructions, and the instructions can be loaded and executed by the processor so that the processor can execute a Yangtze river shipping data linking method based on intelligent contracts.

Specifically, the electronic device of the present embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium.

The storage medium may be used to store software programs and modules, such as a method for uplink of Yangtze river shipping data based on intelligent contracts in the embodiments of the present invention, and the processor executes various functional applications and data processing by running the software programs and modules stored in the storage medium, that is, implements the method for uplink of Yangtze river shipping data based on intelligent contracts. The storage medium may include a high-speed random access storage medium, and may also include a non-volatile storage medium, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage medium. In some examples, the storage medium may further include a storage medium remotely located with respect to the processor, and the remote storage medium may be connected to the terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The processor may invoke the information stored in the storage medium and the application program via the transmission system to perform the following steps: step 101, acquiring the voyage data nodes of a plurality of voyages of the Yangtze river, extracting the voyage data of each voyage data node, forming a voyage data set of each voyage data node, carrying out standardization processing on the voyage data in each voyage data set, and generating standardized voyage data of each voyage data in each voyage data set;

Wherein U (D) is the comprehensive standardized value of the Yangtze river shipping data set D of each blockchain node, W '_i,j is the jj component of the ith weight vector W', Z (D _j) is the standardized value of the j-th Yangtze river shipping data in the Yangtze river shipping data set D, R _i,j is the association degree of the i-th Yangtze river shipping data and the j-th Yangtze river shipping data in the Yangtze river shipping data set D, gamma _j is the weight of the j-th Yangtze river shipping data in the Yangtze river shipping data set D, T is the acquisition time of the Yangtze river shipping data set D, delta _i is the influence factor of the acquisition time on the i-th Yangtze river shipping data in the Yangtze river shipping data set D, N is the number of the Yangtze river shipping data in the Yangtze river shipping data set D, and beta _j is the regularized parameter of the j-th Yangtze river shipping data in the Yangtze river shipping data set D.

Wherein T' is the number of time points, W _f (T) is the weight of the f-th feature vector at the time point T, G (P _i,P_j, T) is the influence of the geographic position factor and the time factor on the relevance, P _i is the geographic information of the ith Yangtze river shipping data in the Yangtze river shipping data set D, and P _j is the geographic information of the jj-th Yangtze river shipping data in the Yangtze river shipping data set D.

Specifically, the time weight W' "_time (T) includes:

The following is an example of the present embodiment, as follows:

The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.

In the embodiments provided in the present invention, it should be understood that the disclosed technology may be implemented in other manners. The system embodiments described above are merely exemplary, and for example, the division of the units is merely a logic function division, and there may be another division manner in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or partly in the form of a software product or all or part of the technical solution, which is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform 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 Read-Only Memory (ROM), a random-access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, etc., which can store program codes.

It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the invention.

Claims

1. A Yangtze river shipping data linking method based on intelligent contracts, comprising:

Setting a Yangtze river shipping data comprehensive standardization model, and calculating a comprehensive standardization value of each Yangtze river shipping data set according to the relativity between the standardized Yangtze river shipping data and the standardized Yangtze river shipping data so as to complete the comprehensive standardization of each Yangtze river shipping data set;

The Yangtze river shipping data comprehensive standardization model comprises the following steps:

Wherein U (D) is the comprehensive standardized value of the Yangtze river shipping dataset D of each blockchain node, W '_i,j is the j-th component of the i-th weight vector W', Z (D _j) is the standardized value of the j-th Yangtze river shipping data in the Yangtze river shipping dataset D, R _i,j is the association degree of the i-th Yangtze river shipping data and the j-th Yangtze river shipping data in the Yangtze river shipping dataset D, gamma _j is the weight of the j-th Yangtze river shipping data in the Yangtze river shipping dataset D, T is the acquisition time of the Yangtze river shipping dataset D, delta _i is the influence factor of the acquisition time on the i-th Yangtze river shipping data in the Yangtze river shipping dataset D, N is the number of the Yangtze river shipping data in the Yangtze river shipping dataset D, beta _j is the regularized parameter of the j-th Yangtze river shipping data in the Yangtze river shipping dataset D;

2. The method for the uplink of Yangtze river shipping data based on an intelligent contract of claim 1 wherein calculating the correlation R _i,j between the ith Yangtze river shipping data and the jth Yangtze river shipping data in Yangtze river shipping data set D comprises:

3. The method for the uplink of Yangtze river shipping data based on an intelligent contract of claim 1 wherein calculating the correlation R _i,j between the ith Yangtze river shipping data and the jth Yangtze river shipping data in Yangtze river shipping data set D comprises:

4. A Yangtze river shipping data linking method based on an intelligent contract as recited in claim 3, wherein the influence of geographic location factors and time factors on the degree of association G (P _i,P_j, t) comprises:

5. The Yangtze river shipping data linking method based on the smart contract of claim 4 wherein the time weights W' "_time (T) include:

Wherein t _current is the current time point.

6. Yangtze river shipping data linking system based on intelligent contracts, comprising:

the standardized module is used for setting a comprehensive standardized model of the Yangtze river shipping data, and calculating a comprehensive standardized value of each Yangtze river shipping data set according to the correlation between the standardized Yangtze river shipping data and the standardized Yangtze river shipping data so as to complete the comprehensive standardization of each Yangtze river shipping data set;

7. The Yangtze river shipping data linking system based on the intelligent contract of claim 6 wherein calculating the degree of correlation R _i,j of the ith Yangtze river shipping data and the jth Yangtze river shipping data in Yangtze river shipping data set D comprises:

8. The Yangtze river shipping data linking system based on the intelligent contract of claim 6 wherein calculating the degree of correlation R _i,j of the ith Yangtze river shipping data and the jth Yangtze river shipping data in Yangtze river shipping data set D comprises:

9. The Yangtze river shipping data linking system based on the intelligent contract of claim 8 wherein the influence of geographic location factors and time factors on the degree of association G (P _i,P_j, t) comprises:

10. The Yangtze river shipping data linking system based on the smart contract of claim 9 wherein the time weight W' "_time (T) comprises:

Wherein t _current is the current time point.