CN112561660B

CN112561660B - Asset data processing method, device, equipment and readable storage medium

Info

Publication number: CN112561660B
Application number: CN202011541505.0A
Authority: CN
Inventors: 潘浩文
Original assignee: Icalc Holdings Ltd
Current assignee: Icalc Holdings Ltd
Priority date: 2020-12-23
Filing date: 2020-12-23
Publication date: 2023-12-01
Anticipated expiration: 2040-12-23
Also published as: CN112561660A

Abstract

The application discloses a data processing method, a device, equipment and a readable storage medium, wherein the method comprises the following steps: querying virtual asset data matched with the staged virtual asset data in a device account of the first device in a staged contracted compensation time range; if the queried virtual asset data is smaller than the staged virtual asset data, acquiring virtual asset auxiliary information of the first equipment; when the first equipment is detected to have no compensation capability according to the virtual asset auxiliary information, virtual asset damage data and navigation data of the engine are obtained; and generating a virtual asset evaluation reference value for the engine through the intelligent contract, the virtual asset damage data and the navigation data, and sending the virtual asset evaluation reference value and the article use permission of the engine to the second equipment so that the second equipment can recycle the engine based on the virtual asset evaluation reference value and the article use permission of the engine. By adopting the application, the efficiency and the accuracy of the asset recovery business of the article can be improved.

Description

Asset data processing method, device, equipment and readable storage medium

Technical Field

The present application relates to the field of computer technologies, and in particular, to an asset data processing method, apparatus, device, and readable storage medium.

Background

The transfer of the object right refers to a first user with the ownership of the object, and the mortgage right of the object is transferred to a second user, so that the first user can obtain corresponding virtual asset data of the object from the second user based on the transfer of the object right of the object. After the first user successfully acquires the item virtual asset data from the second user, the first user needs to contract with the second user for an amortization time and an amortization virtual asset for the item virtual asset data.

Currently, for whether the first user pays out the virtual asset by the amortization time, a manual check is generally adopted, which makes it difficult to avoid a case where the check is erroneous due to the bulkiness of data and the omission of personnel, for example, a case where the first user does not pay out the amortization time while the first user is in the abnormal state of payback, but does not check the abnormal state of payback of the first user; or the case where the first user has paid out the amortized virtual asset on time belongs to a pay-out normal state, but the first user is checked as a pay-out abnormal state. When the first user does not pay the amortized virtual asset on time, the article is required to be recovered and disposed, and if the verification is wrong, the article which is not recovered and disposed is likely to be recovered and disposed, so that the accuracy of the article recovery and disposal service is affected; the inspection error may delay the time for recycling the article, and the article cannot be recycled in time.

Disclosure of Invention

The embodiment of the application provides an asset data processing method, device and equipment and a readable storage medium, which can improve the efficiency and accuracy of asset recovery business of articles.

In one aspect, an embodiment of the present application provides an asset data processing method, including:

querying virtual asset data matched with the staged virtual asset data in a device account of the first device in a staged contracted compensation time range; the staged virtual asset data is a staged compensation virtual asset corresponding to the engine virtual asset data; the virtual asset data of the engine is the virtual asset data corresponding to the application virtual asset value carried in the object right transfer request for the engine sent by the first equipment to the second equipment; the object right transferring request is used for requesting to transfer the object accessory right of the engine to the second equipment, and the first equipment is provided with the object using right of the engine after the object accessory right is transferred; the first device is a device corresponding to a user who has ownership of the engine;

if the virtual asset data inquired in the equipment account of the first equipment is smaller than the staged virtual asset data in the staged contracted compensation time range, acquiring the virtual asset auxiliary information of the first equipment; the virtual asset auxiliary information comprises historical input data, historical output data and virtual asset auxiliary data corresponding to users with ownership of the engine;

When the first equipment is detected to have no compensation capability according to the historical input data, the historical output data and the virtual asset auxiliary data, virtual asset damage data and navigation data of the engine are obtained;

and calling the intelligent contract, generating a virtual asset assessment reference value for the engine through the intelligent contract, the virtual asset damage data and the navigation data, and sending the virtual asset assessment reference value and the article use permission of the engine to the second equipment so that the second equipment can recycle the engine based on the virtual asset assessment reference value and the article use permission of the engine.

An aspect of an embodiment of the present application provides an asset data processing apparatus, including:

the data query module is used for querying virtual asset data matched with the staged virtual asset data in the equipment account of the first equipment in the staged contracted compensation time range; the staged virtual asset data is a staged compensation virtual asset corresponding to the engine virtual asset data; the virtual asset data of the engine is the virtual asset data corresponding to the application virtual asset value carried in the object right transfer request for the engine sent by the first equipment to the second equipment; the object right transferring request is used for requesting to transfer the object accessory right of the engine to the second equipment, and the first equipment is provided with the object using right of the engine after the object accessory right is transferred; the first device is a device corresponding to a user who has ownership of the engine;

The information inquiry module is used for acquiring the virtual asset auxiliary information of the first equipment if the virtual asset data inquired in the equipment account of the first equipment is smaller than the staged virtual asset data in the staged contracted compensation time range; the virtual asset auxiliary information comprises historical input data, historical output data and virtual asset auxiliary data corresponding to users with ownership of the engine;

the data acquisition module is used for acquiring virtual asset damage data and navigation data of the engine when the first equipment is detected to have no compensation capability according to the historical input data, the historical output data and the virtual asset auxiliary data;

the contract calling module is used for calling intelligent contracts;

the reference value generation module is used for generating a virtual asset evaluation reference value for the engine through the intelligent contract, the virtual asset damage data and the navigation data, and sending the virtual asset evaluation reference value and the article use permission of the engine to the second equipment so that the second equipment can recycle the engine based on the virtual asset evaluation reference value and the article use permission of the engine.

Wherein the apparatus further comprises:

the characteristic extraction module is used for inputting the historical input data and the historical output data into the prediction model, and extracting first data characteristics of the historical input data and second data characteristics of the historical output data through the prediction model;

The prediction data determining module is used for determining prediction input data corresponding to a user with ownership of the engine through the prediction model and the first data characteristics; the predicted input data refers to predicted data within an expected time range; the expected time range refers to a time range in which the first device compensates the second device for the remaining virtual asset data; the remaining virtual asset data refers to asset data in which the first device does not compensate the second device in the compensated total asset data; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the engine;

the prediction data determining module is further used for determining prediction output data corresponding to a user with ownership of the engine through the prediction model and the second data characteristics; the predicted output data refers to predicted data within an expected time range;

the operation module is used for carrying out addition operation processing on the predicted input data and the virtual asset auxiliary data to obtain operation virtual asset data, and determining a difference value between the operation virtual asset data and the predicted output data;

The capacity determining module is used for determining that the second equipment has compensation capacity if the difference value is larger than or equal to the residual virtual asset data;

the capacity determining module is further configured to determine that the second device does not have the compensation capacity if the difference value is smaller than the remaining virtual asset data.

Wherein the apparatus further comprises:

the prompt information generation module is used for generating compensation warning prompt information according to the virtual asset data in the equipment account of the first equipment and the staged virtual asset data and sending the compensation warning prompt information to the first equipment; the compensation warning prompt information is used for prompting the first equipment, and the virtual asset data in the equipment account of the first equipment does not have the condition of compensating the staged virtual asset data;

the request receiving module is used for receiving a use permission transfer request for the engine, which is returned by the first equipment based on the compensation warning prompt information; the usage rights transfer request is for requesting transfer of temporary usage rights of the engine to the contractual device; the usage rights transfer request includes a staged contracted virtual asset and a contracted transfer time corresponding to the staged contracted virtual asset; the contracted transfer time refers to the time when the contracting device transfers the staged contracting virtual asset to the first device;

The request sending module is used for sending the use right transfer request to the contract device so that the contract device returns a use right transfer confirmation message based on the use right transfer request, the staged contract virtual asset and the contracted transfer time;

the range updating module is used for updating the phased contract compensation time range according to the use authority transfer confirmation message, and inquiring virtual asset data matched with the phased virtual asset data in the equipment account of the first equipment in the updated phased contract compensation time range; the updated staged contracted compensation time range comprises a time range corresponding to contracted transfer time;

the condition determining module is used for determining that the virtual asset data inquired in the equipment account of the first equipment has the condition of compensating the phased virtual asset data in the updated phased appointed compensation time range if the virtual asset data inquired in the equipment account of the first equipment is larger than or equal to the phased virtual asset data in the updated phased appointed compensation time range;

the first step execution module is used for executing the step of inputting the historical input data and the historical output data into the prediction model and extracting the first data characteristic of the historical input data and the second data characteristic of the historical output data through the prediction model if the virtual asset data inquired in the equipment account of the first equipment is smaller than the staged virtual asset data in the updated staged contracted compensation time range.

Wherein the apparatus further comprises:

the state detection module is used for detecting the quality state of the engine according to the use permission transfer request;

the disassembly module is used for disassembling the engine to obtain a disassembly assembly of the engine if the quality state of the engine does not meet the use permission transfer condition;

the request processing module is used for acquiring the virtual asset value of the disassembled component corresponding to the disassembled component, generating a component authority transfer request according to the virtual asset value of the disassembled component, and sending the component authority transfer request to the third equipment; the component right transfer request is used for requesting to transfer ownership of the disassembled component to the third device;

the message receiving module is used for receiving a component authority transfer confirmation message returned by the third device based on the component authority transfer request, acquiring residual virtual asset data according to the component authority transfer confirmation message, and sending the device account corresponding to the second device and the numerical value of the residual virtual asset data to the third device so that the third device transfers the virtual asset data corresponding to the numerical value of the residual virtual asset data to the device account corresponding to the second device; the remaining virtual asset data refers to asset data in which the first device does not compensate the second device in the compensated total asset data; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the engine;

And the second step execution module is used for executing the step of sending the use right transfer request to the contract device to enable the contract device to return the use right transfer confirmation message based on the use right transfer request, the staged contract virtual asset and the contracted transfer time if the quality state of the engine meets the use right transfer condition.

Wherein the apparatus further comprises:

the processing message receiving module is used for receiving a recovery processing confirmation message sent by the second equipment; the reclaiming processing confirming message is generated by the second equipment according to the virtual asset value of the engine; the virtual asset value is determined by the second device based on the virtual asset assessment reference value;

the request generation module is used for generating a first authority transfer request based on the virtual asset value and sending the first authority transfer request and the virtual asset value to the third equipment; the first permission transfer request is used for requesting to transfer ownership of the engine to the fourth device;

the recovery asset acquisition module is used for receiving a first right transfer confirmation message returned by the fourth equipment based on the first right transfer request and the virtual asset value, and acquiring residual virtual asset data according to the first right transfer confirmation message; the remaining virtual asset data refers to asset data in which the first device does not compensate the second device in the compensated total asset data; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the engine;

The account sending module is used for sending the equipment account corresponding to the second equipment, the equipment account corresponding to the first equipment and the numerical value of the residual virtual asset data to fourth equipment, so that the fourth equipment obtains the virtual asset data corresponding to the numerical value of the residual virtual asset data in the virtual asset data corresponding to the virtual asset value, transfers the virtual asset data corresponding to the numerical value of the residual virtual asset data to the equipment account corresponding to the second equipment, and transfers the residual virtual asset data to the equipment account corresponding to the first equipment; the legacy virtual asset data is virtual asset data other than the remaining virtual asset data among the virtual asset data corresponding to the virtual asset value;

and the permission transfer module is used for receiving a data receiving confirmation message returned by the second equipment aiming at the virtual asset data corresponding to the residual virtual asset data, and transferring the ownership of the engine to the fourth equipment according to the data receiving confirmation message.

Wherein the apparatus further comprises:

the splitting request acquisition module is used for receiving a splitting request for the engine sent by the fourth equipment; the splitting request is used for splitting the components of the engine to obtain split components of the engine;

The request processing module is used for acquiring the virtual asset value of the splitting component corresponding to the splitting component, generating a second permission transfer request according to the virtual asset value of the splitting component, and sending the second permission transfer request to the fifth device; the second rights transfer request is used for requesting to transfer ownership of the split component to the fifth device;

the data sending module is used for receiving a second right transfer confirmation message returned by the fifth device based on the second right transfer request, sending a device account corresponding to the fourth device to the fifth device according to the second right transfer confirmation message, so that the fifth device obtains split virtual asset data corresponding to the virtual asset value of the split component in the device account corresponding to the fifth device, and transfers the split virtual asset data to the fourth device;

and the component right transfer module is used for transferring ownership of the split component to the fifth device according to the asset reception confirmation message returned by the fourth device based on the split virtual asset data.

Wherein the virtual asset evaluation reference value comprises an accident damage rate and a maintenance adjustment reference value;

a reference value generation module comprising:

the damage rate generation unit is used for generating accident damage rate for the engine according to the intelligent contract and the virtual asset damage data;

And the reference value generating unit is used for generating maintenance adjustment reference value for the engine according to the intelligent contract, the navigation data and the virtual asset damage data.

Wherein the breakage rate generation unit includes:

the data traversing subunit is used for calling an evaluation execution function in the intelligent contract and traversing the virtual asset damage data through the evaluation execution function;

the breaking rate determining subunit is used for acquiring the engine type of the engine from the virtual asset breaking data through the evaluation execution function if the accident proof data exists in the virtual asset breaking data, acquiring a first accident breaking rate matched with the engine type from the blockchain full database, and taking the first accident breaking rate as the accident breaking rate; the accident proof data refers to proof data of an engine in which no accident occurs;

the breaking rate determining subunit is further configured to, if no accident proof data exists in the virtual asset breaking data, obtain accident occurrence data in the virtual asset breaking data by evaluating the execution function, obtain a second accident breaking rate matching with the engine type and the accident occurrence data in the blockchain full database, and use the second accident breaking rate as an accident breaking rate; the accident occurrence data refers to the history data of the accident occurrence of the engine;

And the damage rate determination subunit is further used for acquiring a third accident damage rate matched with the engine type from the block chain full database through the evaluation execution function if the accident proof data and the accident occurrence data do not exist in the virtual asset damage data, and taking the third accident damage rate as the accident damage rate.

Wherein the reference value generation unit includes:

the maintenance data acquisition subunit is used for calling an evaluation execution function in the intelligent contract and acquiring maintenance sailing duration and maintenance sailing period of the engine through the evaluation execution function in sailing data; the maintenance sailing duration refers to the duration of sailing by using the engine after performance recovery maintenance is carried out on the engine; the maintenance sailing period refers to a period of sailing by using the engine after performance recovery maintenance is carried out on the engine;

the data determining subunit is used for obtaining the thrust power reduction of the engine in the virtual asset damage data through evaluating the execution function, and determining the performance maintenance unit cost rate and the average maintenance time of the engine according to the thrust power reduction, the maintenance navigation duration and the maintenance navigation period;

the data determining subunit is further used for obtaining a passing area corresponding to the maintenance sailing period, and obtaining an area damage rate corresponding to the passing area in the block chain total database through the evaluation execution function;

The data determining subunit is further used for obtaining the corresponding navigation damage rate of the engine in the non-first navigation state in the full database, and determining a half-life state value for the engine according to the average maintenance time, the regional damage rate and the navigation damage rate;

and the reference value generation subunit is used for generating maintenance adjustment reference value for the engine according to the performance maintenance unit cost rate, the half-life state value and the maintenance sailing duration.

The data determining subunit is further used for determining a maintenance ratio between the maintenance sailing duration and the maintenance sailing period;

the data determining subunit is further used for obtaining a data matrix corresponding to the engine from the blockchain full database through evaluating the execution function; the data matrix comprises a first mapping relation and a second mapping relation; the first mapping relation is the mapping relation between the configuration data set and the configuration performance maintenance unit cost rate; the second mapping relation is the mapping relation between the configuration data set and the configuration average maintenance time; the configuration data set is a data set formed by configuration thrust power reduction and configuration ratio, and the configuration ratio is a data set formed by configuration maintenance navigation duration and configuration maintenance navigation period;

The data determining subunit is further used for matching a maintenance data set formed by the thrust power reduction and the maintenance ratio with a data matrix, and acquiring a configuration data set matched with the maintenance data set from the data matrix as a target configuration data set;

the data determining subunit is further configured to use the configuration performance maintenance unit cost rate having the first mapping relation with the target configuration data set as the performance maintenance unit cost rate of the engine, and use the configuration average maintenance time having the second mapping relation with the target configuration data set as the average maintenance time of the engine.

The basic value generation subunit is further used for determining a difference value between the half-life state value and the maintenance sailing duration, and multiplying the performance maintenance unit cost rate by the difference value to obtain a performance recovery maintenance adjustment value of the engine;

the basic value generation subunit is also used for acquiring a time and life component of the engine, and acquiring the maximum navigation duration corresponding to the time and life component, the historical navigation period corresponding to the time and life component, the component number of the time and life component and the engine type of the engine in navigation data through the evaluation execution function;

the reference value generation subunit is further used for acquiring the virtual asset value of the life component matched with the engine type and the component number in the blockchain full database through evaluating the execution function;

The reference value generation subunit is further used for generating a time and life component adjustment value for the time and life component according to the maximum navigation duration, the historical navigation period and the virtual asset value of the time and life component;

the reference value generation subunit is also used for carrying out addition operation processing on the performance recovery maintenance adjustment value and the time and life assembly adjustment value to obtain a target maintenance adjustment value of the engine;

the basic value generation subunit is further used for acquiring the engine type of the engine in the navigation data through the evaluation execution function, acquiring the half-life virtual asset value matched with the engine type in the block chain total database, and adding the half-life virtual asset value and the target maintenance adjustment value to obtain the maintenance adjustment basic value of the engine.

In one aspect, an embodiment of the present application provides a computer device, including: a processor and a memory;

the memory stores a computer program that, when executed by the processor, causes the processor to perform the methods of embodiments of the present application.

In one aspect, embodiments of the present application provide a computer-readable storage medium storing a computer program, the computer program comprising program instructions that, when executed by a processor, perform a method according to embodiments of the present application.

In one aspect of the application, a computer program product or computer program is provided that includes computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the method provided in an aspect of the embodiment of the present application.

In the embodiment of the application, after a user with the ownership of the engine transfers the object right of the engine to the second device through the first device and successfully acquires the virtual asset data of the engine from the second device, the first device needs to compensate (repayment) the compensating total asset data (which is consistent with the value of the virtual asset data of the engine) in stages, that is, the first device needs to transfer the staged virtual asset data to the second device in a staged contracted compensating time range. The application can automatically determine whether the first equipment has compensation capability for the staged virtual asset data through the blockchain, and if the first equipment does not have the compensation capability, the application can generate the asset evaluation reference value based on the virtual asset damage data and the navigation data of the engine, so that the second equipment can accurately determine the virtual asset value of the engine based on the asset evaluation reference value, and carry out recovery processing on the engine based on the virtual asset value. It should be appreciated that the present application can check whether the first device can perform virtual asset compensation to the second device on time through the blockchain, without manual participation, and can improve the checking efficiency, thereby improving the efficiency of asset recycling business of the article; meanwhile, the blockchain has tamper resistance and traceability, so that the data has authenticity and reliability, and the checking result has reliability, so that the asset recovery service of the engine has higher safety and accuracy. In conclusion, the application can improve the efficiency and accuracy of the asset recycling business of the article.

Drawings

In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a diagram of a network architecture according to an embodiment of the present application;

FIG. 2 is a schematic view of a scenario provided by an embodiment of the present application;

FIG. 3 is a flow chart of an asset processing method according to an embodiment of the present application;

FIG. 4 is a schematic diagram of an asset data processing device according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

Fig. 1 is a schematic diagram of a network architecture according to an embodiment of the present application. The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like, and is mainly used for sorting data according to time sequence, encrypting the data into an account book, preventing the account book from being tampered and forged, and simultaneously verifying, storing and updating the data. A blockchain is essentially a de-centralized database in which each node stores an identical blockchain, and the blockchain network distinguishes the nodes into core nodes, data nodes, and light nodes, wherein the core nodes are responsible for the consensus of the blockchain network, i.e., the core nodes are consensus nodes in the blockchain network. The process of writing the transaction data into the account book in the blockchain network can be that the client sends the transaction data to the data nodes or the light nodes, then the transaction data is transmitted between the data nodes or the light nodes in the blockchain network in a baton mode until the transaction data is received by the consensus node, the consensus node packages the transaction data into blocks, performs consensus among other consensus nodes, and writes the blocks carrying the transaction data into the account book after the consensus is passed.

It will be appreciated that a blockchain system may include a smart contract that is understood in the blockchain system to be a type of code that each node of the blockchain (including the consensus node) may understand and execute, and that may execute any logic and obtain a result. The user can call the intelligent contract which is already deployed on the blockchain by means of the client initiating a transaction service request, then the data node or the light node on the blockchain can send the transaction service request to the consensus nodes, and each consensus node on the blockchain can respectively run the intelligent contract. It should be appreciated that one or more intelligent contracts may be included in the blockchain, where the intelligent contracts may be distinguished by an identification number (Identity document, ID) or a name, and the transaction service request initiated by the client may also carry the identification number or the name of the intelligent contract, so as to specify the intelligent contract that the blockchain needs to run, after the intelligent contract is run to obtain the execution result, each consensus node may mutually verify whether the execution result is consistent (i.e. perform consensus), and if so, may store the execution result in the respective local ledger and return the execution result to the client.

As shown in fig. 1, the network architecture may include a core node (consensus node) cluster 1000, a data node or light node cluster 100, and a user terminal (client) cluster 10. As shown in fig. 1, the core node cluster 1000 may include a core node 1000a, core nodes 1000b, …, and a core node 1000n, the data node cluster 100 may include a data node 100a, a data node 100b, …, and a data node 100n, and the user terminal cluster 10 may include a user terminal 10a, user terminals 10b, …, and a user terminal 10n.

As shown in fig. 1, the user terminals 10a, 10b, …, 10n may respectively make network connections with the data nodes 100a, 100b, …, 100n, so that the user terminals may perform data interaction with the data nodes through the network connections; the data node 100a, the data nodes 100b, … and the data node 100n can respectively perform network connection with the core node 1000a, the core nodes 1000b, … and the core node 1000n, so that the data node can perform data interaction with the core node through the network connection; the data nodes 100a, 100b, … and 100n are connected to each other so that data interaction can be performed between the data nodes, and the core nodes 1000a, 1000b, … and 1000n are connected to each other so that data interaction can be performed between the core nodes.

Taking the user terminal 10a, the data node 100a and the core node 1000a as an example, the data node 100a may receive a transaction service request (the transaction service request carries an ID or a name of an intelligent contract) sent by the user terminal 10a, and then the data node 100a may send the transaction service request to the core node 1000a through the data node cluster 100; the core node 1000a may run the smart contract, execute the transaction service through the smart contract, obtain an execution result, store the execution result in a memory pool (e.g., a transaction pool), and generate a new block according to the execution result; the core node 1000a may then send the newly generated blocks to other core nodes in the blockchain network according to the node identifiers of the other core nodes (i.e. consensus nodes) in the blockchain network, and the other core nodes check (i.e. perform consensus) the newly generated blocks, and after checking, add the newly generated blocks to the blockchain in which they are stored (i.e. store the execution result into the blockchain after the consensus passes). Each core node in the blockchain network has a node identifier corresponding to the core node, and each core node in the blockchain network can store node identifiers of other core nodes in the blockchain network, so that the generated blocks can be broadcast to other core nodes in the blockchain network according to the node identifiers of other core nodes later, and data stored on all core nodes in the blockchain network are consistent.

The application provides an asset processing method based on a blockchain based on the characteristic that the blockchain cannot be tampered or forged. It should be appreciated that a user with engine ownership may send a request for transfer of the engine's ownership, which may be a request to transfer the engine's affiliated rights of the item, which may be an item mortgage right, to the blockchain node via the user terminal. When a user with the ownership of the engine initiates an ownership transfer request, initial virtual asset related data (such as initial voyage data, initial asset compromise data, initial history maintenance data, temporary use contracts and the like) and application virtual asset values of the engine can be sent to a blockchain through a user terminal, and a provider for providing the virtual asset data can determine the final virtual asset value of the engine based on the virtual asset related data; after the virtual asset value is greater than or equal to the applied virtual asset value (e.g., the virtual asset value is 15 ten thousand yuan, greater than the applied virtual asset value is 10 ten thousand yuan), the provider may return an object weight transfer confirmation message to the blockchain node; the blockchain node may then send the account of the user with engine ownership to the provider, and the provider may transfer the engine virtual asset data (10 ten thousand yuan) corresponding to the applied virtual asset value into the account of the user with engine ownership. And the provider may also obtain the mortgage rights for the items of the engine. After the transfer of the object right, the user with the ownership of the engine needs to repay (compensate) the phased virtual asset to the provider in stages and on time for the compensated total asset data (the compensated total asset data is consistent with the numerical value of the engine virtual asset data acquired from the provider), and for the process, whether the user with the engine can repay the phased virtual asset data on time or not can be automatically checked based on the blockchain without manual participation, so that the checking efficiency can be improved, and the efficiency of the asset recycling service of the engine can be improved; meanwhile, the blockchain has tamper resistance and traceability, so that the data and the checking result thereof have authenticity and reliability, and the asset recovery business of the engine has higher safety and accuracy.

In the following, a specific method provided by the present application will be described by taking the core node 1000a, the data node 100a, the user terminal 10a and the user terminal 10b as examples, where the core node 1000a can query the virtual asset data matched with the staged virtual asset data in the terminal account corresponding to the user terminal 10a in the staged contracted compensation time range. The phasing contract compensation time range and the phasing virtual asset data can be contracted by the user terminal 10a (the terminal corresponding to the user having the engine ownership) and the user terminal 10b (the terminal corresponding to the virtual asset data provider) together when the transfer of the object rights to the engine is performed. If the virtual asset data queried in the terminal account of the user terminal 10a is less than the staged virtual asset data within the staged contracted compensation time range, it may be stated that the virtual asset data in the terminal account of the user terminal 10a is insufficient to repay the staged virtual asset data, the core node 1000a may obtain virtual asset auxiliary information of the user having the ownership of the engine, and the virtual asset auxiliary information may include history input data, history output data and virtual asset auxiliary data; further, the core node 1000a may invoke an intelligent contract, and may determine whether the user terminal 10a has compensation capability (the compensation capability may be the remaining virtual asset data in the pointer pair supplementing total asset data that is not yet repaid to the user terminal 10b, whether the user terminal 10a has compensation capability) through the intelligent contract, the history input data, the history output data, and the virtual asset auxiliary data; if it is determined that the user terminal 10a does not have the compensation capability, the core node 1000a may obtain virtual asset-related data for the engine, wherein the virtual asset-related data may be provided by the user terminal 10b after the object weight transfer, and the virtual asset-related data may include (e.g., voyage data, asset compromise data, historical maintenance data, temporary use contracts, etc.). Further, core node 1000a may invoke a smart contract by which virtual asset assessment reference values for the engine may be generated, along with the virtual asset association data (e.g., voyage data, asset compromise data); the core node 1000a may transmit the virtual asset evaluation reference value to the user terminal 10b together with the article use authority of the engine so that the user terminal 10b may perform asset recycling process on the engine based on the virtual asset evaluation reference value and the article use authority of the engine.

For ease of understanding, please refer to fig. 2, fig. 2 is a schematic view of a scenario provided in an embodiment of the present application. The ue a shown in fig. 2 may be any ue in the ue cluster 10 in the embodiment corresponding to fig. 1, for example, the ue is 10a; the ue B shown in fig. 2 may be any ue in the ue cluster 10 in the embodiment corresponding to fig. 1, for example, the ue is 10B; and the blockchain node shown in fig. 2 may be any core node in the core node cluster 1000 in the embodiment corresponding to fig. 1, for example, the core node may be the core node 1000b.

As shown in fig. 2, the user a may be a user having the ownership of the engine, and after the user a initiates the object right transfer request for the engine through the user terminal a, the user a successfully obtains the virtual asset data of the engine provided by the user b; then, the user a needs to repay (compensate) the compensating total asset data corresponding to the engine virtual asset data to the user b in a plurality of stages, and each repayment time is a staged contracted compensation time range, which may be a fixed time range (for example, 10 # to 15 # of each month), and the user a needs to repay the staged virtual asset data in each staged contracted compensation time range. For example, the engine virtual asset data provided by the user b to the user a in 12/15 in 2020 is 6000 yuan, the user a needs to pay back the 6000 yuan to the user b in 4 stages, the 6000 yuan can be the compensation total asset data, the staged contract compensation time ranges corresponding to the 4 stages are 2022 12/10-15, 2023 1/10-15, 2023 2/10-15 and 2023/3/10-15 respectively, each staged contract compensation time range needs to pay back 1500 yuan, and the 1500 yuan can be the staged virtual asset data.

It should be appreciated that in each phased arrangement compensation time frame, the blockchain node may query the balance of user a from the terminal account of user terminal a (the account address of user a) to determine whether the balance is sufficient to repay the phased virtual asset data. For example, as shown in FIG. 2, at 2023, month 1, 10-15, the blockchain node may access the terminal account of the user terminal A to query the terminal account for virtual asset data matching the staged virtual asset data (1500), as shown in FIG. 2, where the balance in the user terminal A is 1000 yuan, and the blockchain node queries for 1000 yuan of virtual asset data. Further, the blockchain node may compare 1000 yuan of the balance with 1500 yuan of the staged virtual asset data, and it may be seen that 1000 yuan is less than 1500 yuan, that is, the balance is insufficient for repayment, the blockchain node may obtain virtual asset auxiliary information of the user a, for example, may obtain historical input data (historical income data, such as payroll income data, transfer income data) of the user a, historical output data (historical expense data, such as shopping, transfer expense data, etc.), and virtual asset auxiliary data (such as real estate, diamond, jewelry, etc. data under the name of the user a).

Further, the blockchain node may invoke an intelligent contract, through the intelligent contract and the virtual asset auxiliary information of the user a, the compensation capability of the user a may be evaluated to determine whether the user a still has the capability of repayment of 4500 elements, and if it is determined that the user a has the compensation capability, the blockchain node may generate compensation prompt information to prompt the user a to repayment within a specified time range; if it is determined that the user a does not have the compensation capability, the blockchain node may obtain virtual asset-related data for the engine (which may be navigation data, asset damage data, etc. provided by user B through user terminal B). Further, the blockchain node may generate a virtual asset evaluation reference value for the engine through the intelligent contract and virtual asset association data of the engine, the blockchain node may send the virtual asset evaluation reference value and the article usage right of the engine to the user terminal B, and the user B may perform asset recycling processing on the engine based on the virtual asset evaluation reference value and the article usage right of the engine through the user terminal B.

For a specific implementation in which the blockchain node determines the virtual asset evaluation reference value of the engine based on the virtual asset association data of the engine, reference may be made to the description in the embodiment corresponding to fig. 3 below. It should be appreciated that for the compensation process of staged virtual assets, the ability to automatically check whether a user with engine ownership has timely repayment based on blockchain, without human involvement, can improve the efficiency of the check, and thus can improve the efficiency of the engine's asset recovery business; meanwhile, the blockchain has tamper resistance and traceability, so that the data and the checking result thereof have authenticity and reliability, and the asset recovery business of the engine has higher safety and accuracy.

Further, referring to fig. 3, fig. 3 is a flow chart of an asset processing method according to an embodiment of the application. The method may be performed by a blockchain node (e.g., the core node in the embodiment of fig. 1 described above), or may be performed by a blockchain node in conjunction with a user terminal (e.g., the user terminal in the embodiment of fig. 1 described above). The following will describe an example of the method performed by the block link point, wherein the engine-based data processing method may at least include the following steps S101-S104:

step S101, inquiring virtual asset data matched with the staged virtual asset data in a device account of a first device in a staged contracted compensation time range; the staged virtual asset data is a staged compensation virtual asset corresponding to the engine virtual asset data; the virtual asset data of the engine is the virtual asset data corresponding to the application virtual asset value carried in the object right transfer request for the engine sent by the first equipment to the second equipment; the object right transferring request is used for requesting to transfer the object accessory right of the engine to the second equipment, and the first equipment is provided with the object using right of the engine after the object accessory right is transferred; the first device is a device corresponding to a user who has ownership of the engine.

In the application, a user (a user with the ownership of the engine) can initiate an object right transfer request for the engine through a user terminal, wherein the object right transfer request can be referred to as an object affiliated right transfer request, and the object affiliated right can be referred to as an object mortgage right. The object right transfer request can comprise virtual asset related data of the engine and application virtual asset values input by a user, wherein the virtual asset related data can comprise navigation data of the engine, virtual asset damage data, temporary use contracts of the engine, factory files and the like; for the object transfer request, the provider of the virtual asset may determine a virtual asset value of the engine based on the virtual asset association data, after determining that the virtual asset value is greater than or equal to the application virtual asset value, the provider may generate an object transfer confirmation message based on the application virtual asset value and send the object transfer confirmation message to the blockchain node, and the blockchain node may send the account of the user with the ownership of the engine to the provider based on the object transfer confirmation message, and the provider may transfer the virtual asset data corresponding to the application virtual asset value to the account of the user with the ownership of the engine. The user with engine ownership then needs to compensate (refund) the compensating total asset data (consistent with the value corresponding to the virtual asset data) to the provider in stages. Each phase corresponds to a phased contract compensation time range, which may be determined by the provider or by the provider and the user with engine ownership, e.g., the phased contract compensation time range may be 5 for each of 1 month to 6 months 2020, 5 to 10 for each month in 2020, etc.; the user needs to compensate the staged virtual asset to the provider in each staged contract compensation time frame, and the blockchain node may query the virtual asset data in the first device that matches the staged virtual asset data from the device account of the device corresponding to the user with engine ownership (i.e., the account address of the user with engine ownership) in each staged contract compensation time frame to determine whether the virtual asset data in the device account of the first device is sufficient to repay the staged virtual asset data.

Step S102, if the virtual asset data inquired in the equipment account of the first equipment is smaller than the staged virtual asset data in the staged contracted compensation time range, acquiring the virtual asset auxiliary information of the first equipment; the virtual asset auxiliary information includes historical input data, historical output data, and virtual asset auxiliary data corresponding to a user having ownership of the engine.

In the present application, the historical input data may include historical revenue data (e.g., payroll revenue data, transfer revenue data, etc.), the historical output data may include historical expense data (e.g., virtual asset transfer out data, shopping expense data, etc.), and the virtual asset auxiliary data may include data under the user name having engine ownership that may be used to redeem the virtual asset data (e.g., real estate, jewelry, diamonds, etc.).

Step S103, when the first equipment is detected to have no compensation capability according to the historical input data, the historical output data and the virtual asset auxiliary data, virtual asset damage data and navigation data of the engine are obtained.

In the present application, an intelligent contract may be invoked and it is determined whether the first device (user with engine ownership) has compensation capabilities through the intelligent contract, the historical input data, the historical output data, and the virtual asset auxiliary data. The method comprises the steps of inputting historical input data and historical output data into a prediction model, and extracting first data features of the historical input data and second data features of the historical output data through the prediction model; through the prediction model and the first data characteristics, the prediction input data corresponding to the user with ownership of the engine can be determined; wherein the predicted input data refers to predicted data within an expected time range; the expected time range refers to a time range in which the first device compensates the second device for the remaining virtual asset data; wherein the remaining virtual asset data refers to asset data in the compensated total asset data for which the first device does not compensate the second device; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the engine; the prediction output data corresponding to the user with ownership of the engine can be determined through the prediction model and the second data characteristic; the predicted output data refers to predicted data within an expected time range; then, the predicted input data and the virtual asset auxiliary data can be added to obtain operation virtual asset data, and the difference value between the operation virtual asset data and the predicted output data can be determined; if the difference is greater than or equal to the remaining virtual asset data, determining that the second device has compensation capability; if the difference is less than the remaining virtual asset data, it may be determined that the second device does not have compensation capabilities.

It should be appreciated that the predictive model may be a recurrent neural network model (Recurrent Neural Network, RNN) from which characteristics of historical input data and historical output data may be obtained so that values of future input data, and values of output data, may be predicted so that the total number of virtual asset data possessed by a user having engine ownership over a future expected time frame may be predicted so that it may be determined whether the user having engine ownership possesses the compensation capability.

It should be appreciated that, if the engine is already rented for use by other users (i.e., the renting users), and the user with engine ownership is to use the renting user's lease (contract engagement virtual asset) to pay back the staged virtual asset data, the user with engine ownership may apply to the block link point to re-lease the engine and pay back the staged virtual asset by the new lease user's lease engagement between users (e.g., unilaterally not fulfilling the lease engagement) due to the renting user violating the lease engagement between users with engine ownership, such that the user with engine ownership cannot pay back the staged virtual asset; if no new user rents the engine or if the rental provided by the new rental user is insufficient to pay the staged virtual asset, the step of determining whether the first device has compensation capability based on the historical input data, the historical output data, and the virtual asset auxiliary data may be performed. That is, if the staged virtual asset data cannot be repayment caused by the default of the leasing user, the engine can be re-leased according to the application of the user with the engine ownership, when the lease of the new leasing user is enough for repayment of the staged virtual asset data, the user with the engine ownership can be determined to have repayment conditions, and the lease of the new leasing user can be used for repayment of the staged virtual asset data; and if there is no new user re-lease or the lease provided by the new lease user is insufficient to repay the staged virtual asset data, the historical input data, the historical output data and the virtual asset auxiliary data of the user with the engine ownership are acquired to determine whether the user with the engine ownership has repayment capability.

The specific method includes the steps of generating compensation warning prompt information according to virtual asset data in an equipment account of the first equipment and staged virtual asset data, and sending the compensation warning prompt information to the first equipment; the compensation warning prompt information is used for prompting the first equipment, and the virtual asset data in the equipment account of the first equipment does not have the condition of compensating the staged virtual asset data; receiving a usage right transfer request for the engine returned by the first equipment based on the compensation warning prompt information; the usage rights transfer request is for requesting transfer of temporary usage rights of the engine to the contractual device; the usage rights transfer request includes a staged contracted virtual asset and a contracted transfer time corresponding to the staged contracted virtual asset; the contracted transfer time refers to the time when the contracting device transfers the staged contracting virtual asset to the first device; sending the usage right transfer request to the contract device so that the contract device returns a usage right transfer confirmation message based on the usage right transfer request, the staged contract virtual asset and the contracted transfer time; updating the phased contract compensation time range according to the use permission transfer confirmation message, and inquiring virtual asset data matched with the phased virtual asset data in the equipment account of the first equipment in the updated phased contract compensation time range; the updated staged contracted compensation time range comprises a time range corresponding to contracted transfer time; if the virtual asset data queried in the equipment account of the first equipment is greater than or equal to the staged virtual asset data in the updated staged contract compensation time range, determining that the virtual asset data queried in the equipment account of the first equipment has the condition of compensating the staged virtual asset data in the updated staged contract compensation time range; and if the virtual asset data inquired in the equipment account of the first equipment is smaller than the staged virtual asset data in the updated staged contracted compensation time range, executing the step of inputting the historical input data and the historical output data into a prediction model, and extracting the first data characteristic of the historical input data and the second data characteristic of the historical output data through the prediction model.

It should be understood that, after the user having the ownership of the engine makes a request for renting the engine, the blockchain node may first detect a quality state of the engine to determine whether the engine is suitable for renting, and when the quality state meets a renting condition, the engine may be rented, that is, the relevant steps of renting the engine are performed; if the quality state of the engine does not meet the leasing condition, the engine can be disassembled and sold, and the disassembled virtual asset data obtained after disassembly and sale is subjected to asset transfer processing. The specific method can be that the quality state of the engine is detected according to the use permission transfer request; if the quality state of the engine does not meet the use permission transfer condition, disassembling the engine to obtain a disassembled assembly of the engine; then, the virtual asset value of the disassembled component corresponding to the disassembled component can be obtained, a component authority transfer request is generated according to the virtual asset value of the disassembled component, and the component authority transfer request is sent to third equipment; the component right transfer request is used for requesting to transfer ownership of the disassembled component to the third device; then, a component authority transfer confirmation message returned by the third device based on the component authority transfer request can be received, residual virtual asset data can be obtained according to the component authority transfer confirmation message, and a device account corresponding to the second device and the numerical value of the residual virtual asset data are sent to the third device, so that the third device transfers the virtual asset data corresponding to the numerical value of the residual virtual asset data to the device account corresponding to the second device; the remaining virtual asset data may be asset data in which the first device does not compensate the second device in the compensated total asset data; the compensated total asset data may refer to asset data that the first device needs to compensate for the second device within an expected period of time, and the value of the compensated total asset data is equal to the value of the virtual asset data of the engine; if the quality status of the engine satisfies the usage rights transfer condition, the above-described step of sending the usage rights transfer request to the contractual device to cause the contractual device to return a usage rights transfer confirmation message based on the usage rights transfer request, the staged contractual asset, and the contracted transfer time may be performed.

It should be appreciated that the article handling virtual asset data for transfer to the asset recycling platform may be acquired from the disassembled virtual asset data other than the remaining virtual asset data described above, and after allocation to the platform, if the disassembled virtual asset data remains, the remaining entirety may be returned to the user having the engine ownership.

Step S104, calling the intelligent contract, generating a virtual asset evaluation reference value for the engine through the intelligent contract, the virtual asset damage data and the navigation data, and sending the virtual asset evaluation reference value and the article use permission of the engine to the second equipment so that the second equipment can recycle the engine based on the virtual asset evaluation reference value and the article use permission of the engine.

In the application, the virtual asset evaluation reference value comprises accident damage rate and maintenance adjustment reference value. According to the intelligent contract and the virtual asset damage data, accident damage rate aiming at the engine can be generated; based on the smart contracts, the voyage data, and the virtual asset compromise data, maintenance adjustment benchmark values for the engine may be generated. The specific method for generating the accident damage rate for the engine according to the intelligent contract and the virtual asset damage data can be that an evaluation execution function in the intelligent contract is called, and the virtual asset damage data is traversed through the evaluation execution function; if accident proof data exists in the virtual asset damage data, the engine type of the engine can be obtained from the virtual asset damage data through an evaluation execution function, a first accident damage rate matched with the engine type is obtained from a block chain total database, and the first accident damage rate is used as the accident damage rate; the accident proof data may be proof data that an accident has not occurred in the engine; if no accident proof data exists in the virtual asset damage data, accident occurrence data can be obtained from the virtual asset damage data through an evaluation execution function, a second accident damage rate matched with the engine type and the accident occurrence data is obtained from a block chain total database, and the second accident damage rate is taken as an accident damage rate; the accident occurrence data refers to historical data of the accident of the engine; if the accident proof data and the accident occurrence data do not exist in the virtual asset breakage data, a third accident breakage rate matched with the engine type can be obtained from the block chain full database through the evaluation execution function, and the third accident breakage rate is used as the accident breakage rate.

It should be appreciated that if an engine fails, a user with engine ownership may provide incident proof data (Non-Incident Statement) to prove that the engine has not failed, from which the blockchain full database may be queried for a corresponding incident damage rate (e.g., an incident damage rate of 0); if an accident occurs in the engine, the owner of the engine can provide related accident occurrence data (including the accident History), and according to the related accident occurrence data, the corresponding accident damage rate can be queried in the blockchain full database (for example, the corresponding accident damage rate can be queried according to the type of the accident); if the owner of the engine does not provide accident proof data of the engine or related accident occurrence data, the block chain total database can be searched for the corresponding accident damage rate when the two accident data do not exist according to the type of the engine.

Among other things, it should be appreciated that the maintenance adjustment baseline value may refer to a baseline value (Maintenance Adjusted Base Value, MABV) corresponding to an engine in a state that has not been used after performance restoration service. The specific method for generating the maintenance adjustment reference value for the engine according to the intelligent contract, the navigation data and the virtual asset damage data can be that an evaluation execution function in the intelligent contract is called, and the maintenance navigation duration and the maintenance navigation period of the engine are obtained through the evaluation execution function in the navigation data; the maintenance sailing duration refers to the duration of sailing by using the engine after performance recovery maintenance is performed on the engine; the maintenance sailing period refers to a period of sailing by using the engine after performance recovery maintenance is carried out on the engine; the performance maintenance unit cost rate and the average maintenance time of the engine can be determined according to the thrust power reduction, the maintenance sailing duration and the maintenance sailing period by evaluating the execution function in the virtual asset damage data and obtaining the thrust power reduction (the percentage of the Derate) of the engine; then, a passing area corresponding to the maintenance sailing period can be obtained, and the area breakage rate corresponding to the passing area is obtained from the block chain total database through the evaluation execution function; acquiring corresponding navigation damage rate when the engine is in a non-first navigation state from a full database, and determining a half-life state value for the engine according to the average maintenance time, the regional damage rate and the navigation damage rate; according to the performance maintenance unit cost rate, the half-life state value and the maintenance sailing duration, maintenance adjustment reference value for the engine can be generated.

The specific method for determining the performance maintenance unit cost rate and the average maintenance time of the engine according to the thrust power reduction, the maintenance sailing duration and the maintenance sailing period can be that the maintenance ratio between the maintenance sailing duration and the maintenance sailing period can be determined; acquiring a data matrix corresponding to the engine from a block chain total database through an evaluation execution function; the data matrix comprises a first mapping relation and a second mapping relation; the first mapping relation is the mapping relation between the configuration data set and the configuration performance maintenance unit cost rate; the second mapping relation is the mapping relation between the configuration data set and the configuration average maintenance time; the configuration data set is a data set formed by configuration thrust power reduction and configuration ratio, and the configuration ratio is a ratio formed by configuration maintenance navigation duration and configuration maintenance navigation period; then, a maintenance data set formed by the thrust power reduction and maintenance ratio can be matched with the data matrix, and a configuration data set matched with the maintenance data set is obtained from the data matrix and is used as a target configuration data set; the configuration performance maintenance unit cost rate having the first mapping relation with the target configuration data set may be regarded as the performance maintenance unit cost rate of the engine, and the configuration average maintenance time having the second mapping relation with the target configuration data set may be regarded as the average maintenance time of the engine.

The specific method for generating the maintenance Adjustment reference value for the engine according to the performance maintenance unit cost rate (Engine Performance Restoration rate, EPR rate), the Half Life state value (Half Life) and the maintenance sailing duration may be that a difference value between the Half Life state value and the maintenance sailing duration may be determined, and the performance maintenance unit cost rate and the difference value may be multiplied to obtain the performance recovery maintenance Adjustment value (EPR Adjustment) of the engine; acquiring a time and life component of the engine, and acquiring the maximum sailing duration corresponding to the time and life component, the historical sailing period corresponding to the time and life component, the component number of the time and life component and the engine type of the engine in sailing data through an evaluation execution function; acquiring the virtual asset value of the life component matched with the engine type and the component number from a blockchain full database through an evaluation execution function; generating a time-to-life component Adjustment value (Life Limited Parts Adjustment, LLP Adjustment) for the time-to-life component based on the maximum voyage duration, the historical voyage period, and the time-to-life component virtual asset value; the performance recovery maintenance adjustment value and the time and life assembly adjustment value can be added and operated to obtain a target maintenance adjustment value of the engine; the engine type of the engine is obtained in the navigation data through the evaluation execution function, the half-life virtual asset value matched with the engine type is obtained in the block chain total database, and the half-life virtual asset value (Half Life Market Value) and the target maintenance adjustment value (Maintenance Adjustments) are added to obtain the maintenance adjustment reference value of the engine.

It should be appreciated that the maintenance voyage duration of the engine may refer to the total voyage duration (Time Since Last Shop Visit, TSLSV) of the engine since performance recovery repair was performed; the maintenance voyage period (Cycle Since Last Shop Visit, CSLSV) may refer to the total period of voyage of the engine using the engine after performance recovery maintenance is performed. The thrust power reduction (percent of the Derate) of the engine can be obtained from the virtual asset damage data through evaluating the execution function, and the maintenance sailing duration (TSLSV) and the maintenance sailing period (CSLSV) of the engine can be obtained from the sailing data; the ratio between the maintenance voyage duration and the maintenance voyage period can be determined, the performance maintenance unit cost rate matched with the thrust power reduction and the ratio can be queried in a blockchain full database by evaluating an execution function, and the EPR rate can refer to the charging rate for maintaining the engine in unit time (for example, the charging rate for maintaining the engine in one hour; the average maintenance time (Mean Time Between Repair, MTBR) that matches the thrust loss and the ratio can be queried in the blockchain full database by evaluating the execution function, it should be understood that when the engine is installed on the aircraft, a take-off to landing process of the aircraft can be used as a voyage period (Cycle).

It should be appreciated that the engine Life assembly (Life Limited Parts, LLP) may refer to a component of an engine that has a definite Life Limit. Wherein a specific method for generating a time and life component Adjustment value (LLP Adjustment) for a time and life component can be as shown in formula (1):

wherein LLP Limit can be used to characterize the maximum in-use length (in-use length Limit) or maximum voyage leg of each of the engine's life components; LLP CSN can be used to characterize historical voyage periods for each of the engine's life components; LLP Price can be used to characterize the virtual asset value of the life component of each life component of the engine.

Optionally, it may be appreciated that, in addition to the accident damage rate and the maintenance adjustment reference value, the virtual asset evaluation reference value of the engine may further include a quick maintenance value and a status damage rate (On Watch Limits Discount), where the quick maintenance value is a quick engine maintenance tool value of the engine (Quick Engine Change Value); the state degradation rate is related to a maximum allowable time period (On Watch Limits) between maintenance observations of the engine, and it should be appreciated that the engine has a time range for observing whether its state requires maintenance, which may be a human prescribed range, for example, two months, i.e., two months is the On Watch Limits. That is, an inspection of the engine is required every two months to detect whether the engine requires maintenance. It should be appreciated that the On Watch Limits Discount is associated with the On Watch Limits, for example, once every two months, so that On Watch Limits Discount corresponding to the engine can be determined, and the On Watch Limits Discount can be written into the blockchain full database, that is, on Watch Limits Discount can be updated according to the On Watch Limits (it should be understood that On Watch Limits Discount in the blockchain full database may not be updated if the state breaking rates determined after the two observations are the same, that is, two different query times may be the same value or different values when querying On Watch Limits Discount through the blockchain full database).

It should be appreciated that the quick engine repair tool (Quick Engine Change Part) for the engine, and the tool number (Quick Engine Change Part Number) for the quick engine repair tool, may be obtained in the virtual asset association data; according to the engine type of the engine and the tool number, the corresponding quick maintenance value can be inquired in a block chain total database; and according to the engine type, the corresponding state damage rate can be queried in the block chain total database.

Optionally, it may be appreciated that the virtual asset evaluation reference value may further include a voyage additional value (First Run Credit) and a remaining maintenance duration (Estimated Green Time), where the voyage additional value may be a corresponding additional value when the engine is in a First voyage state, and the remaining maintenance duration may be a remaining duration from a next maintenance of the engine. The voyage added value and the remaining length of time for repair may be determined based on the virtual asset association data. For example, a historical voyage duration (TSN) and a maintenance voyage duration (Time Since Last Shop Visit, TSLSV) of the engine may be obtained from the virtual asset association data, where the TSN may be a total voyage duration of the engine after the engine leaves the factory, and the maintenance voyage duration of the engine may be a total voyage duration of the engine after the engine is subjected to performance recovery maintenance. It should be appreciated that TSN will be greater than or equal to TSLSV, and when the TSN is equal to the TSLSV, which may indicate that the engine is first voyage, the engine may be given a first voyage increment (i.e., voyage additional value), i.e., if the historical voyage duration is equal to the maintenance voyage duration, voyage additional value matching the engine type may be obtained in a blockchain full database.

Alternatively, it can be understood that, for the way of obtaining the voyage added value, the voyage added value can also be determined by a historical voyage period (CSN) of the engine and a maintenance voyage period (CSLSV) of the engine, where the historical voyage period of the engine may be a voyage total period of the engine after leaving the factory, and the maintenance voyage period of the engine may be a voyage total period of the engine after performing performance recovery maintenance; after the historical sailing period and the maintenance sailing period of the engine are obtained, if the historical sailing period of the engine is equal to the maintenance sailing period of the engine, the sailing added value matched with the type of the engine can be obtained in the blockchain full-quantity database.

The maintenance residual duration can be obtained by inquiring a blockchain full database according to the engine type of the engine, the maintenance sailing duration (TSLSV) of the engine, the maintenance sailing period (CSLSV) and the historical sailing period (CSN) of each time service component (LLP); it may also be determined based on the maintenance voyage duration (TSLSV) of the engine and the next time the engine is serviced. Wherein, for the next maintenance time of the engine, the engine type and the engine serial number (Engine Serial Number, ESN) can be searched in a blockchain full database. For example, the last maintenance time of the engine is 9 am on 12 months 19 days 2020: 00, by inquiring, the next maintenance time should be 9:00 (where 9 hours herein refers to the maximum navigational hours of the aircraft after 9:00 service, that is, the engine must be serviced next after 9 hours of full flight after 9:00 service); and if 9 am is 19 a day at 12 months in 2020: 00, after maintenance is performed, the engine has sailed for 6 hours, the 6 hours is the maintenance sailing duration (TSLSV), then the maintenance sailing duration 6 of the engine can be subtracted from the maximum sailing hour 9, and the obtained result 3 can be the remaining maintenance duration.

Optionally, it is understood that the virtual asset assessment reference may also include a virtual asset damage rate (Missing Back to Birth Certificates Discount). It should be appreciated that each engine should be provided with post-shipment return birth certificate data (Back to Birth Certificates) that may include repair certificate data and quasi-flight certificate data (which may also be referred to as airworthiness certificate data), and if neither the repair certificate data nor the quasi-flight certificate data is missing, a corresponding virtual asset damage rate (e.g., virtual asset damage rate of 0) may be queried from the blockchain full database to prove that there is a corresponding virtual asset damage rate; if either or both of the repair certificate data and the quasi-fly certificate loss are lost, the virtual asset compromise rate corresponding to the loss of the certificate can be queried from the blockchain full database (Missing Back to Birth Certificates Discount).

Alternatively, it is understood that the virtual asset assessment reference may also include a contracted virtual asset value (with lease value). For the method of determining the contracted virtual asset value, the following 4 schemes may be included:

scheme (1): obtaining Maintenance Adjustment Benchmark Value (MABV), lease virtual asset flow equity, maintenance preparation virtual asset inflow equity, and maintenance preparation virtual asset outflow equity of the engine by evaluating the execution function; then, the maintenance adjustment reference value (MABV), the net value of the rental virtual asset flow, and the net value of the maintenance preparation virtual asset inflow may be added, and the result of the addition may be subtracted from the net value of the maintenance preparation virtual asset outflow, and the result of the subtraction may be used as a contract virtual asset value. Wherein the net rental virtual asset flow value may refer to a net present value of a series of rental cash flows for the engine, the net repair preparation virtual asset inflow value may refer to a net present value of a series of repair preparation cash flows for the engine, and the net repair preparation virtual asset outflow value may refer to a net present value of a series of repair preparation cash flows for the engine.

For a specific implementation manner of determining the maintenance adjustment reference value, reference may be made to the above description, and will not be repeated here. And a specific method for determining the net value of the rental virtual asset flow may be as shown in equation (2):

wherein d in formula (2) _i The payment time available for characterizing the ith Lease, at the earliest, may be the Lease Start time (Lease Start) in the engine's transient use contract, d ₁ Can be used for representing the 0 th lease payment time; DR can be used to characterize engine lease Discount Rate, P _i Can be used to characterize the i-th rental payment.

Wherein, for a specific implementation of determining the repair preparation virtual asset inflow equity, it may also be as shown in equation (2) above. Wherein d in equation (2) above when determining that the maintenance-ready virtual asset flows into equity by equation (2) _i Can be used to characterize the inflow time of the ith maintenance preparation cash flow, d ₁ Can be used to characterize the inflow time of the 0 th maintenance preparation cash flow; DR can be used to characterize engine lease Discount Rate, P _i Can be used to characterize the inflow of the ith maintenance preparation cash flow.

Wherein, for a specific implementation of determining the net worth of the maintenance ready virtual asset outflow, it may also be as shown in equation (2) above. Wherein d in equation (2) above when determining the net value of the maintenance ready virtual asset outflow by equation (2) _i Can be used to characterize the outflow time of the ith maintenance preparation cash flow, d ₁ Can be used to characterize the outflow time of the 0 th maintenance preparation cash flow; DR can be used to characterize engine lease Discount Rate, P _i Can be used to characterize the payout amount of the ith maintenance preparation cash flow.

Scheme (2): the maintenance adjustment reference value (MABV), the lease virtual asset flow equity and the compensation virtual asset equity of the engine can be obtained by evaluating the execution function, and the maintenance adjustment reference value (MABV), the lease virtual asset flow equity and the compensation virtual asset equity are added to obtain the contract virtual asset value.

For a specific implementation manner of determining the maintenance adjustment reference value and the net value of the leased virtual asset flow, reference may be made to the above description, and a detailed description will be omitted here.

For a specific implementation of determining the equity of the compensation virtual asset, the above formula (2) may also be used. Wherein d in equation (2) above when determining the equity of the compensating virtual asset by equation (2) _i Acquisition time, d, useful for characterizing the ith compensating virtual asset ₁ The acquisition time available to characterize the 0 th compensating virtual asset; DR can be used to characterize engine lease Discount Rate, P _i Can be used to characterize the compensation virtual asset (compensation amount) for the ith time.

Scheme (3): the engine's rental virtual asset flow equity, compensation virtual asset equity, and split component virtual asset equity may be obtained by evaluating an execution function. And adding the rented virtual asset flow equity, the compensated virtual asset equity and the split component virtual asset equity to obtain a contract virtual asset value. The net value of the split component virtual asset may be a net present value of a series of planned split (Part Out) values, where the series of planned split values may be values corresponding to the split component of the engine after the engine is split within a planned time range.

For a specific implementation of determining rental virtual asset traffic equity and compensating virtual asset equity, reference is made to the above description. And for a specific method of determining the equity of the split component virtual asset, the method can be as shown in the above formula (2). Wherein d in equation (2) above when determining the equity of the split component virtual asset through equation (2) _i Time available for characterizing ith plan split value, d ₁ Time available to characterize the 0 th plan split value; DR can be used to characterize engine lease Discount Rate, P _i Can be used to characterize the ith planned tear down amount.

Scheme (4): the engine's rental virtual asset flow equity, service preparation virtual asset inflow equity, service preparation virtual asset outflow equity, and split component virtual asset equity may be obtained by evaluating an execution function. And adding the net value of the flow of the leased virtual asset, the net value of the inflow of the maintenance preparation virtual asset and the net value of the virtual asset of the splitting component, subtracting the net value of the outflow of the maintenance preparation virtual asset from the result obtained by the adding operation, and taking the result obtained by the subtracting operation as a contract virtual asset value. For specific implementations of determining the engine's rental virtual asset flow equity, service preparation virtual asset inflow equity, service preparation virtual asset outflow equity, and split component virtual asset equity, reference is made to the above description, and no further description will be given here.

Further, the second device may recycle the engine based on the virtual asset evaluation reference value, and the specific method may be that a recycle confirmation message sent by the second device is received; the reclaiming processing confirming message is generated by the second equipment according to the virtual asset value of the engine; the virtual asset value is determined by the second device based on the virtual asset assessment reference value; generating a first rights transfer request based on the virtual asset value, and sending the first rights transfer request and the virtual asset value to a fourth device; wherein the first permission transfer request is for requesting transfer of ownership of the engine to the fourth device; receiving a first right transfer confirmation message returned by the fourth equipment based on the first right transfer request and the virtual asset value, and acquiring residual virtual asset data according to the first right transfer confirmation message; the remaining virtual asset data refers to asset data in which the first device does not compensate the second device in the compensated total asset data; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the engine; then, the device account corresponding to the second device, the device account corresponding to the first device and the numerical value of the remaining virtual asset data can be sent to the fourth device, so that the fourth device obtains the virtual asset data corresponding to the numerical value of the remaining virtual asset data in the virtual asset data corresponding to the virtual asset value, transfers the virtual asset data corresponding to the numerical value of the remaining virtual asset data to the device account corresponding to the second device, and transfers the legacy virtual asset data to the device account corresponding to the first device; the legacy virtual asset data refers to virtual asset data except the rest of virtual asset data in the virtual asset data corresponding to the virtual asset value; and receiving a data receiving confirmation message returned by the second equipment aiming at the virtual asset data corresponding to the residual virtual asset data, and transferring the ownership of the engine to the fourth equipment according to the data receiving confirmation message.

It should be appreciated that the second device may resell the engine to the fourth device, and by reselling the resell virtual asset (virtual asset data corresponding to the virtual asset value) acquired from the fourth device, the remaining virtual asset data may be preferentially allocated to the second device, and if left, the left-over virtual asset data may be allocated to the user having the ownership of the engine.

Optionally, the second device may resell the engine to the fourth device, and by reselling the reselled virtual asset (virtual asset data corresponding to the virtual asset value) acquired from the fourth device, the remaining virtual asset data may be preferentially allocated to the second device, and if there is a legacy, the virtual asset data may be further preferentially allocated to the processing platform for recycling the article; if there is still left-over, the left-over virtual asset data may be distributed to users with engine ownership.

Further, if the fourth device has a split requirement on the engine after obtaining ownership of the engine, a split request may be sent to the block link to split the engine, and the specific method may be that a split request for the engine sent by the fourth device is received; the splitting request is used for splitting the components of the engine to obtain split components of the engine; obtaining a virtual asset value of a splitting component corresponding to the splitting component, generating a second permission transfer request according to the virtual asset value of the splitting component, and sending the second permission transfer request to fifth equipment; the second rights transfer request is used for requesting to transfer ownership of the split component to the fifth device; receiving a second right transfer confirmation message returned by the fifth device based on the second right transfer request, and sending a device account corresponding to the fourth device to the fifth device according to the second right transfer confirmation message, so that the fifth device obtains split virtual asset data corresponding to the virtual asset value of the split component in the device account corresponding to the fifth device, and transfers the split virtual asset data to the fourth device; and transferring ownership of the split component to the fifth device according to the asset reception acknowledgement message returned by the fourth device based on the split virtual asset data.

It should be understood that, in the present application, the first device and the second device may both be user terminals, and the first device may be any user terminal in the user terminal cluster in the embodiment corresponding to fig. 1, for example, the user terminal is the user terminal 10a; the second device may be any user terminal in the user terminal cluster in the embodiment corresponding to fig. 1, for example, the user terminal is the user terminal 10b.

It should be appreciated that the present application may refer to stable currencies with stable and flow characteristics as virtual asset data, for example, general currencies with a range of price fluctuations, such as merry, may be referred to as virtual asset data; the present application may also refer to game virtual currencies as virtual asset data, and may refer to virtual currencies such as game medals, game experience values, game credits, and game diamonds in a game scene as virtual asset data, for example.

It should be appreciated that in a gaming scenario, a player may initiate a request for transfer of the right of a game piece or prop (transfer of mortgage rights to an item) to obtain corresponding virtual asset data (virtual asset data corresponding to an applied virtual asset value) from a provider of a virtual asset (virtual currency such as game medals, game experience values, game credits, and game diamonds); subsequently, the blockchain node may obtain virtual asset related data of the engine, which may refer to voyage data of the engine for virtual voyage in the game, virtual asset compromise data in the game (e.g., compromise rate after being attacked), and temporary use contracts for lease in the game (e.g., lease related data); based on the virtual asset association data, the virtual asset provider may determine a virtual asset value (e.g., 100 tokens) for the engine; after the virtual asset value is greater than or equal to the application virtual asset value applied by the player, the virtual asset provider can generate a real right transfer confirmation message according to the application virtual asset value and send the real right transfer confirmation message to the blockchain node; then, the blockchain node may send the virtual account of the player to a virtual asset provider, and the virtual asset provider may obtain virtual asset data corresponding to the applied virtual asset value from the virtual account provided by the virtual asset, and transfer the virtual asset data to the virtual account of the player. For example, applying for a virtual asset value of 50 tokens and the virtual asset value of the engine of 100 tokens, the virtual asset provider may determine that the virtual asset value (100 tokens) is greater than the applied virtual asset value (50 tokens), the virtual asset provider may generate a title transfer confirmation message based on the applied virtual asset value (50 tokens), and send the title transfer message to the blockchain node. The blockchain node may then send the player's game virtual account to the virtual asset provider, and the virtual asset provider may obtain the 50 tokens from the virtual asset provider's virtual account and transfer the 50 tokens to the player's game virtual account. And the player needs to repay the 50 tokens to the virtual asset provider in stages.

The blockchain node may query the player's virtual account for corresponding virtual asset data within each staged engagement compensation time frame, e.g., 20 tokens for the staged virtual asset data, but only 10 tokens in the player's virtual account, then the blockchain node may obtain the player's virtual asset assistance information, which may be historical input data for the player in the game (e.g., tokens obtained by monumenting, tokens obtained by selling equipment, etc.), historical output data (e.g., tokens spent for buying equipment, buying game characters, etc.), and virtual asset assistance data (e.g., virtual real estate possessed by the player in the game, game equipment, game props, etc.); determining from the virtual asset auxiliary information whether the player has compensation capabilities; if the player does not have the compensation capability, virtual asset related data of the engine can be obtained, a virtual asset evaluation reference value can be generated according to the virtual asset related data, and the virtual asset evaluation reference value and the article use authority of the engine can be transferred to a provider so that the provider can recycle the engine.

In the embodiment of the application, after a user with the ownership of the engine transfers the object right of the engine to the second device through the first device and successfully obtains the compensating total asset data (the value corresponding to the virtual asset data of the engine) from the second device, the first device needs to periodically compensate (repayment) the compensating total asset data to the second device, that is, the first device needs to transfer the staged virtual asset data to the second device in the staged contracted compensating time range. The application can automatically determine whether the first equipment has the compensation capability through the block chain, and if the first equipment does not have the compensation capability, the application can generate the asset evaluation reference value for the virtual asset damage data and the navigation data based on the engine so that the second equipment can accurately determine the virtual asset value of the engine based on the asset evaluation reference value and recycle the engine based on the virtual asset value. It should be appreciated that the present application can automatically check whether the first device can perform virtual asset compensation to the second device on time through the blockchain, without manual participation, and can improve the checking efficiency, thereby improving the efficiency of asset recycling business of the article; meanwhile, the blockchain has tamper resistance and traceability, so that the data and the checking result thereof have authenticity and reliability, and the asset recycling business of the article has higher safety and accuracy. In conclusion, the application can improve the efficiency and accuracy of the asset recycling business of the article.

Further, referring to fig. 4, fig. 4 is a schematic structural diagram of an asset data processing device according to an embodiment of the present application. The asset data processing device may be a computer program (including program code) running in a computer apparatus, for example the asset data processing device is an application software; the asset data processing device may be used to perform the method shown in fig. 3. As shown in fig. 4, the blockchain-based data processing device 1 may include: the system comprises a data query module 11, an information query module 12, a data acquisition module 13, a contract invoking module 14 and a reference value generating module 15.

A data query module 11, configured to query, in a staged contracted compensation time range, virtual asset data that matches staged virtual asset data in a device account of the first device; the staged virtual asset data is a staged compensation virtual asset corresponding to the engine virtual asset data; the virtual asset data of the engine is the virtual asset data corresponding to the application virtual asset value carried in the object right transfer request for the engine sent by the first equipment to the second equipment; the object right transferring request is used for requesting to transfer the object accessory right of the engine to the second equipment, and the first equipment is provided with the object using right of the engine after the object accessory right is transferred; the first device is a device corresponding to a user who has ownership of the engine;

The information query module 12 is configured to obtain virtual asset auxiliary information of the first device if the virtual asset data queried in the device account of the first device is smaller than the staged virtual asset data within the staged contracted compensation time range; the virtual asset auxiliary information comprises historical input data, historical output data and virtual asset auxiliary data corresponding to users with ownership of the engine;

a data acquisition module 13, configured to acquire virtual asset damage data and navigation data of the engine when it is detected that the first device does not have the compensation capability according to the historical input data, the historical output data and the virtual asset auxiliary data;

a contract calling module 14 for calling the smart contract;

the reference value generating module 15 is configured to generate a virtual asset evaluation reference value for the engine according to the intelligent contract, the virtual asset damage data and the voyage data, and send the virtual asset evaluation reference value and the article usage right of the engine to the second device, so that the second device performs recovery processing on the engine based on the virtual asset evaluation reference value and the article usage right of the engine.

The specific implementation manners of the data query module 11, the information query module 12, the data obtaining module 13, the contract invoking module 14, and the reference value generating module 15 may be referred to the description of step S101 to step S104 in the embodiment corresponding to fig. 3, and will not be described herein.

Referring to fig. 4, the asset data processing device 1 may further include: a feature extraction module 16, a prediction data determination module 17, an operation module 18, and a capability determination module 19.

The feature extraction module 16 is configured to input the historical input data and the historical output data into a prediction model, and extract a first data feature of the historical input data and a second data feature of the historical output data through the prediction model;

a prediction data determination module 17 for determining, from the prediction model and the first data feature, prediction input data corresponding to a user having ownership of the engine; the predicted input data refers to predicted data within an expected time range; the expected time range refers to a time range in which the first device compensates the second device for the remaining virtual asset data; the remaining virtual asset data refers to asset data in which the first device does not compensate the second device in the compensated total asset data; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the engine;

the prediction data determining module 17 is further configured to determine, according to the prediction model and the second data feature, prediction output data corresponding to a user having ownership of the engine; the predicted output data refers to predicted data within an expected time range;

The operation module 18 is configured to perform addition operation processing on the predicted input data and the virtual asset auxiliary data to obtain operation virtual asset data, and determine a difference value between the operation virtual asset data and the predicted output data;

a capability determining module 19, configured to determine that the second device has the compensation capability if the difference value is greater than or equal to the remaining virtual asset data;

the capability determining module 19 is further configured to determine that the second device does not have the compensation capability if the difference value is smaller than the remaining virtual asset data.

The specific implementation manners of the feature extraction module 16, the prediction data determination module 17, the operation module 18, and the capability determination module 19 may be referred to the description of step S102 in the embodiment corresponding to fig. 3, which will not be repeated here.

Referring to fig. 4, the asset data processing device 1 may further include: a prompt information generation module 20, a request receiving module 21, a request transmitting module 22, a range updating module 23, a condition determining module 24, and a first step executing module 25.

The prompt information generating module 20 is configured to generate compensation warning prompt information according to the virtual asset data in the device account of the first device and the staged virtual asset data, and send the compensation warning prompt information to the first device; the compensation warning prompt information is used for prompting the first equipment, and the virtual asset data in the equipment account of the first equipment does not have the condition of compensating the staged virtual asset data;

A request receiving module 21, configured to receive a usage right transfer request for the engine returned by the first device based on the compensation warning prompt information; the usage rights transfer request is for requesting transfer of temporary usage rights of the engine to the contractual device; the usage rights transfer request includes a staged contracted virtual asset and a contracted transfer time corresponding to the staged contracted virtual asset; the contracted transfer time refers to the time when the contracting device transfers the staged contracting virtual asset to the first device;

a request sending module 22, configured to send a usage rights transfer request to the contract device, so that the contract device returns a usage rights transfer confirmation message based on the usage rights transfer request, the staged contract virtual asset, and the contracted transfer time;

the range updating module 23 is configured to update the staged contract compensation time range according to the usage right transfer confirmation message, and query the device account of the first device for virtual asset data that matches the staged virtual asset data in the updated staged contract compensation time range; the updated staged contracted compensation time range comprises a time range corresponding to contracted transfer time;

The condition determining module 24 is configured to determine that, in the updated staged default compensation time range, the virtual asset data queried in the device account of the first device has a condition for compensating the staged virtual asset data if the virtual asset data queried in the device account of the first device is greater than or equal to the staged virtual asset data;

the first step execution module 25 is configured to execute the step of inputting the history input data and the history output data into the prediction model, and extracting the first data feature of the history input data and the second data feature of the history output data through the prediction model if the virtual asset data queried in the device account of the first device is smaller than the staged virtual asset data within the updated staged contract compensation time range.

The specific implementation manners of the prompt message generating module 20, the request receiving module 21, the request sending module 22, the range updating module 23, the condition determining module 24, and the first step executing module 25 may be referred to the description of step S102 in the embodiment corresponding to fig. 3, and will not be repeated here.

Referring to fig. 4, the asset data processing device 1 may further include: a status detection module 26, a disassembly module 27, a request processing module 28, a message receiving module 29 and a second step execution module 30.

A state detection module 26, configured to detect a quality state of the engine according to the usage right transfer request;

a disassembly module 27, configured to disassemble the engine to obtain a disassembled assembly of the engine if the quality status of the engine does not meet the usage right transfer condition;

the request processing module 28 is configured to obtain a virtual asset value of the disassembled component corresponding to the disassembled component, generate a component permission transfer request according to the virtual asset value of the disassembled component, and send the component permission transfer request to the third device; the component right transfer request is used for requesting to transfer ownership of the disassembled component to the third device;

the message receiving module 29 is configured to obtain remaining virtual asset data according to the component authority transfer confirmation message, send the device account corresponding to the second device and the value of the remaining virtual asset data to the third device, so that the third device transfers the virtual asset data corresponding to the value of the remaining virtual asset data to the device account corresponding to the second device; the remaining virtual asset data refers to asset data in which the first device does not compensate the second device in the compensated total asset data; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the engine;

The second step execution module 30 is configured to execute, if the quality status of the engine satisfies the usage right transfer condition, a step of sending a usage right transfer request to the contract device, so that the contract device returns a usage right transfer confirmation message based on the usage right transfer request, the staged contract virtual asset, and the contracted transfer time.

The specific implementation manners of the state detection module 26, the disassembly module 27, the request processing module 28, the message receiving module 29, and the second step execution module 30 may be referred to the description of step S102 in the embodiment corresponding to fig. 3, and will not be described herein.

Referring to fig. 4, the asset data processing device 1 may further include: a process message receiving module 31, a request generating module 32, a reclaimed asset acquiring module 33, an account sending module 34 and a rights transferring module 35.

A processing message receiving module 31, configured to receive a reclamation processing confirmation message sent by the second device; the reclaiming processing confirming message is generated by the second equipment according to the virtual asset value of the engine; the virtual asset value is determined by the second device based on the virtual asset assessment reference value;

a request generation module 32, configured to generate a first rights transfer request based on the virtual asset value, and send the first rights transfer request and the virtual asset value to the third device; the first permission transfer request is used for requesting to transfer ownership of the engine to the fourth device;

A recovered asset acquisition module 33, configured to receive a first rights transfer acknowledgement message returned by the fourth device based on the first rights transfer request and the virtual asset value, and acquire remaining virtual asset data according to the first rights transfer acknowledgement message; the remaining virtual asset data refers to asset data in which the first device does not compensate the second device in the compensated total asset data; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the engine;

the account sending module 34 is configured to send the device account corresponding to the second device, the device account corresponding to the first device, and the value of the remaining virtual asset data to the fourth device, so that the fourth device obtains virtual asset data corresponding to the value of the remaining virtual asset data in the virtual asset data corresponding to the virtual asset value, transfers the virtual asset data corresponding to the value of the remaining virtual asset data to the device account corresponding to the second device, and transfers the legacy virtual asset data to the device account corresponding to the first device; the legacy virtual asset data is virtual asset data other than the remaining virtual asset data among the virtual asset data corresponding to the virtual asset value;

And the permission transfer module 35 is configured to receive a data reception confirmation message returned by the second device for the virtual asset data corresponding to the remaining virtual asset data, and transfer ownership of the engine to the fourth device according to the data reception confirmation message.

The specific implementation manner of the processing message receiving module 31, the request generating module 32, the recovery asset obtaining module 33, the account sending module 34, and the rights transferring module 35 may be referred to the description of step S102 in the embodiment corresponding to fig. 3, and will not be repeated here.

Referring to fig. 4, the asset data processing device 1 may further include: split request acquisition module 36, request processing module 37, data transmission module 38, and component rights transfer module 39.

A split request obtaining module 36, configured to receive a split request for the engine sent by the fourth device; the splitting request is used for splitting the components of the engine to obtain split components of the engine;

the request processing module 37 is configured to obtain a virtual asset value of a splitting component corresponding to the splitting component, generate a second permission transfer request according to the virtual asset value of the splitting component, and send the second permission transfer request to the fifth device; the second rights transfer request is used for requesting to transfer ownership of the split component to the fifth device;

The data sending module 38 is configured to receive a second permission transfer confirmation message returned by the fifth device based on the second permission transfer request, send a device account corresponding to the fourth device to the fifth device according to the second permission transfer confirmation message, so that the fifth device obtains split virtual asset data corresponding to the virtual asset value of the split component in the device account corresponding to the fifth device, and transfer the split virtual asset data to the fourth device;

the component right transfer module 39 is configured to transfer ownership of the split component to the fifth device according to an asset reception acknowledgement message returned by the fourth device based on the split virtual asset data.

The specific implementation manners of the splitting request obtaining module 36, the request processing module 37, the data sending module 38, and the component authority transferring module 39 may be referred to the description of step S102 in the embodiment corresponding to fig. 3, which will not be described herein.

the reference value generating module 15 is further specifically configured to generate an accident damage rate for the engine according to the intelligent contract and the virtual asset damage data;

The reference value generating module 15 is further specifically configured to generate a maintenance adjustment reference value for the engine according to the smart contract, the sailing data and the virtual asset damage data.

The reference value generating module 15 is further specifically configured to call an evaluation execution function in the intelligent contract, and traverse the virtual asset damage data through the evaluation execution function;

the reference value generating module 15 is further specifically configured to, if accident proof data exists in the virtual asset damage data, obtain an engine type of the engine in the virtual asset damage data by evaluating the execution function, obtain a first accident damage rate matched with the engine type in the blockchain full database, and use the first accident damage rate as the accident damage rate; the accident proof data refers to proof data of an engine in which no accident occurs;

the reference value generating module 15 is further specifically configured to, if no accident proof data exists in the virtual asset damage data, obtain accident occurrence data in the virtual asset damage data by evaluating the execution function, obtain a second accident damage rate matching with the engine type and the accident occurrence data in the blockchain full database, and use the second accident damage rate as the accident damage rate; the accident occurrence data refers to the history data of the accident occurrence of the engine;

The reference value generating module 15 is further specifically configured to obtain a third accident damage rate matched with the engine type from the blockchain full database by evaluating the execution function if no accident proof data exists in the virtual asset damage data and no accident occurrence data exists, and take the third accident damage rate as the accident damage rate.

The reference value generating module 15 is further specifically configured to call an evaluation execution function in the intelligent contract, and acquire maintenance sailing duration and maintenance sailing period of the engine through the evaluation execution function in sailing data; the maintenance sailing duration refers to the duration of sailing by using the engine after performance recovery maintenance is carried out on the engine; the maintenance sailing period refers to a period of sailing by using the engine after performance recovery maintenance is carried out on the engine;

the reference value generating module 15 is further specifically configured to obtain a thrust power reduction of the engine by evaluating the execution function in the virtual asset damage data, and determine a performance maintenance unit cost rate and an average maintenance time of the engine according to the thrust power reduction, the maintenance sailing duration and the maintenance sailing period;

the reference value generating module 15 is further specifically configured to obtain a travel area corresponding to the maintenance navigation period, and obtain an area damage rate corresponding to the travel area in the blockchain full database through the evaluation execution function;

The reference value generating module 15 is further specifically configured to obtain, in the full database, a corresponding voyage damage rate when the engine is in a non-first voyage state, and determine a half-life state value for the engine according to the average maintenance time, the regional damage rate, and the voyage damage rate;

the reference value generating module 15 is further specifically configured to generate a maintenance adjustment reference value for the engine according to the performance maintenance unit cost rate, the half-life state value, and the maintenance voyage duration.

The reference value generating module 15 is further specifically configured to determine a maintenance ratio between the maintenance voyage duration and the maintenance voyage period;

the reference value generating module 15 is further specifically configured to obtain a data matrix corresponding to the engine from the blockchain full database by evaluating the execution function; the data matrix comprises a first mapping relation and a second mapping relation; the first mapping relation is the mapping relation between the configuration data set and the configuration performance maintenance unit cost rate; the second mapping relation is the mapping relation between the configuration data set and the configuration average maintenance time; the configuration data set is a data set formed by configuration thrust power reduction and configuration ratio, and the configuration ratio is a ratio formed by configuration maintenance navigation duration and configuration maintenance navigation period;

The reference value generating module 15 is further specifically configured to match a maintenance data set formed by the thrust reduction power and the maintenance ratio with a data matrix, and obtain a configuration data set matched with the maintenance data set in the data matrix as a target configuration data set;

the reference value generating module 15 is further specifically configured to use, as the performance maintenance unit cost rate of the engine, the configuration performance maintenance unit cost rate having the first mapping relation with the target configuration data set, and use, as the average maintenance time of the engine, the configuration average maintenance time having the second mapping relation with the target configuration data set.

The reference value generating module 15 is further specifically configured to determine a difference value between the half-life state value and the maintenance sailing duration, and multiply the performance maintenance unit cost rate with the difference value to obtain a performance recovery maintenance adjustment value of the engine;

the reference value generating module 15 is further specifically configured to obtain a time and life component of the engine, and obtain, by evaluating the execution function, a maximum navigation duration corresponding to the time and life component, a historical navigation period corresponding to the time and life component, a component number of the time and life component, and an engine type of the engine;

The reference value generating module 15 is further specifically configured to obtain, from the blockchain full database, a virtual asset value of the life component matching the engine type and the component number by evaluating the execution function;

the reference value generating module 15 is further specifically configured to generate a time-to-life component adjustment value for the time-to-life component according to the maximum navigation duration, the historical navigation period, and the virtual asset value of the time-to-life component;

the reference value generating module 15 is further specifically configured to perform an addition operation on the performance recovery maintenance adjustment value and the time-service component adjustment value, so as to obtain a target maintenance adjustment value of the engine;

the reference value generating module 15 is further specifically configured to obtain an engine type of the engine from the navigation data by evaluating the execution function, obtain a half-life virtual asset value matched with the engine type from the blockchain full database, and perform addition processing on the half-life virtual asset value and the target maintenance adjustment value to obtain a maintenance adjustment reference value of the engine.

Further, referring to fig. 5, fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present application. As shown in fig. 5, the apparatus 1 in the embodiment corresponding to fig. 4 may be applied to the computer device 1000, and the computer device 1000 may include: processor 1001, network interface 1004, and memory 1005, and in addition, the above-described computer device 1000 further includes: a user interface 1003, and at least one communication bus 1002. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display (Display), a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface, among others. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 1005 may also optionally be at least one storage device located remotely from the processor 1001. As shown in fig. 5, an operating system, a network communication module, a user interface module, and a device control application may be included in the memory 1005, which is a type of computer-readable storage medium.

In the computer device 1000 shown in FIG. 5, the network interface 1004 may provide network communication functions; while user interface 1003 is primarily used as an interface for providing input to a user; and the processor 1001 may be used to invoke a device control application stored in the memory 1005 to implement:

It should be understood that the computer device 1000 described in the embodiment of the present application may perform the description of the asset data processing method in the embodiment corresponding to fig. 3, and may also perform the description of the asset data processing device 1 in the embodiment corresponding to fig. 4, which is not described herein. In addition, the description of the beneficial effects of the same method is omitted.

Furthermore, it should be noted here that: the embodiment of the present application further provides a computer readable storage medium, where a computer program executed by the computer device 1000 for data processing mentioned above is stored, where the computer program includes program instructions, when the processor executes the program instructions, the description of the data processing method in the embodiment corresponding to fig. 3 above can be executed, and therefore, will not be repeated herein. In addition, the description of the beneficial effects of the same method is omitted. For technical details not disclosed in the embodiments of the computer-readable storage medium according to the present application, please refer to the description of the method embodiments of the present application.

The computer readable storage medium may be the asset data processing device provided in any of the foregoing embodiments or an internal storage unit of the foregoing computer device, for example, a hard disk or a memory of the computer device. The computer readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash card (flash card) or the like, which are provided on the computer device. Further, the computer-readable storage medium may also include both internal storage units and external storage devices of the computer device. The computer-readable storage medium is used to store the computer program and other programs and data required by the computer device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

The terms first, second and the like in the description and in the claims and drawings of embodiments of the application are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the term "include" and any variations thereof is intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or device that comprises a list of steps or elements is not limited to the list of steps or modules but may, in the alternative, include other steps or modules not listed or inherent to such process, method, apparatus, article, or device.

Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The method and related apparatus provided in the embodiments of the present application are described with reference to the flowchart and/or schematic structural diagrams of the method provided in the embodiments of the present application, and each flow and/or block of the flowchart and/or schematic structural diagrams of the method may be implemented by computer program instructions, and combinations of flows and/or blocks in the flowchart and/or block diagrams. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or structural diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or structures.

The foregoing disclosure is illustrative of the present application and is not to be construed as limiting the scope of the application, which is defined by the appended claims.

Claims

1. A method of asset data processing, comprising:

querying virtual asset data matched with the staged virtual asset data in a device account of the first device in a staged contracted compensation time range; the phasing virtual asset data is phasing compensation virtual asset corresponding to engine virtual asset data; the engine virtual asset data is virtual asset data corresponding to the application virtual asset value carried in an object right transfer request for the engine sent by the first equipment to the second equipment; the object right transfer request is used for requesting to transfer the object accessory right of the engine to the second equipment, and the first equipment is provided with the object use right of the engine after the object accessory right is transferred; the first device is a device corresponding to a user having ownership for the engine;

if the virtual asset data inquired in the equipment account of the first equipment is smaller than the staged virtual asset data in the staged contracted compensation time range, acquiring virtual asset auxiliary information of the first equipment; the virtual asset auxiliary information comprises historical input data, historical output data and virtual asset auxiliary data corresponding to the user with ownership for the engine;

and calling an intelligent contract, generating a virtual asset evaluation reference value for the engine through the intelligent contract, the virtual asset damage data and the navigation data, and sending the virtual asset evaluation reference value and the article use permission of the engine to the second equipment so that the second equipment can recycle the engine based on the virtual asset evaluation reference value and the article use permission of the engine.

2. The method according to claim 1, wherein the method further comprises:

inputting the historical input data and the historical output data into a prediction model, and extracting first data features of the historical input data and second data features of the historical output data through the prediction model;

determining the predicted input data corresponding to the user with ownership for the engine through the prediction model and the first data characteristic; the predicted input data refers to predicted data within an expected time range; the expected time range refers to a time range in which the first device compensates the second device for remaining virtual asset data; the remaining virtual asset data refers to asset data, in the compensated total asset data, of which the first device does not compensate the second device; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the engine;

Determining, by the prediction model and the second data feature, predicted output data corresponding to the user having ownership for the engine; the predicted output data refers to predicted data within the expected time range;

performing addition operation processing on the predicted input data and the virtual asset auxiliary data to obtain operation virtual asset data, and determining a difference value between the operation virtual asset data and the predicted output data;

if the difference value is greater than or equal to the residual virtual asset data, determining that the second equipment has compensation capability;

and if the difference value is smaller than the residual virtual asset data, determining that the second equipment does not have the compensation capability.

3. The method according to claim 2, wherein the method further comprises:

generating compensation warning prompt information according to the virtual asset data in the equipment account of the first equipment and the staged virtual asset data, and sending the compensation warning prompt information to the first equipment; the compensation warning prompt information is used for prompting the first equipment, and the virtual asset data in the equipment account of the first equipment does not have the condition of compensating the staged virtual asset data;

Receiving a usage right transfer request for the engine returned by the first equipment based on the compensation warning prompt information; the usage rights transfer request is for requesting transfer of temporary usage rights of the engine to a contractual device; the usage right transfer request comprises a staged contract virtual asset and a contracted transfer time corresponding to the staged contract virtual asset; the contracted transfer time refers to the time that the contracting device transfers the staged contracting virtual asset to the first device;

sending the usage rights transfer request to the contractor device to cause the contractor device to return a usage rights transfer confirmation message based on the usage rights transfer request, the staged contractual virtual asset, and the contracted transfer time;

updating the staged contract compensation time range according to the use permission transfer confirmation message, and inquiring virtual asset data matched with the staged virtual asset data in the equipment account of the first equipment in the updated staged contract compensation time range; the updated staged contract compensation time range comprises a time range corresponding to the contract transfer time;

If the virtual asset data inquired in the equipment account of the first equipment is greater than or equal to the staged virtual asset data in the updated staged appointment compensating time range, determining that the virtual asset data inquired in the equipment account of the first equipment has the condition of compensating the staged virtual asset data in the updated staged appointment compensating time range;

and if the virtual asset data inquired in the equipment account of the first equipment is smaller than the staged virtual asset data in the updated staged contracted compensation time range, executing the step of inputting the historical input data and the historical output data into a prediction model, and extracting the first data characteristic of the historical input data and the second data characteristic of the historical output data through the prediction model.

4. A method according to claim 3, characterized in that the method further comprises:

detecting the quality state of the engine according to the use permission transfer request;

if the quality state of the engine does not meet the use permission transfer condition, disassembling the engine to obtain a disassembled assembly of the engine;

Acquiring a virtual asset value of the disassembled component corresponding to the disassembled component, generating a component authority transfer request according to the virtual asset value of the disassembled component, and sending the component authority transfer request to third equipment; the component right transfer request is used for requesting to transfer ownership of the disassembled component to the third device;

receiving a component right transfer confirmation message returned by the third device based on the component right transfer request, acquiring residual virtual asset data according to the component right transfer confirmation message, and sending a device account corresponding to the second device and the numerical value of the residual virtual asset data to the third device so that the third device transfers the virtual asset data corresponding to the numerical value of the residual virtual asset data to the device account corresponding to the second device; the remaining virtual asset data refers to asset data, in the compensated total asset data, of which the first device does not compensate the second device; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the engine;

And if the quality state of the engine meets the use right transfer condition, executing the step of sending the use right transfer request to the contract device so that the contract device returns a use right transfer confirmation message based on the use right transfer request, the staged contract virtual asset and the contracted transfer time.

5. The method according to claim 1, wherein the method further comprises:

receiving a recycling confirmation message sent by the second equipment; the reclamation process validation message is generated by the second device based on the virtual asset value of the engine; the virtual asset value is determined by the second device based on the virtual asset assessment reference value;

generating a first rights transfer request based on the virtual asset value, and sending the first rights transfer request and the virtual asset value to a fourth device; the first permission transfer request is for requesting transfer of ownership of the engine to the fourth device;

receiving a first right transfer confirmation message returned by the fourth device based on the first right transfer request and the virtual asset value, and acquiring residual virtual asset data according to the first right transfer confirmation message; the remaining virtual asset data refers to asset data, in the compensated total asset data, of which the first device does not compensate the second device; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the engine;

Transmitting the device account corresponding to the second device, the device account corresponding to the first device and the numerical value of the remaining virtual asset data to the fourth device, so that the fourth device obtains the virtual asset data corresponding to the numerical value of the remaining virtual asset data in the virtual asset data corresponding to the virtual asset value, transfers the virtual asset data corresponding to the numerical value of the remaining virtual asset data to the device account corresponding to the second device, and transfers the legacy virtual asset data to the device account corresponding to the first device; the legacy virtual asset data refers to virtual asset data except the remaining virtual asset data among the virtual asset data corresponding to the virtual asset value;

and receiving a data receiving confirmation message returned by the second equipment aiming at the virtual asset data corresponding to the residual virtual asset data, and transferring the ownership of the engine to the fourth equipment according to the data receiving confirmation message.

6. The method of claim 5, wherein the method further comprises:

receiving a split request for the engine sent by the fourth device; the splitting request is used for splitting the components of the engine to obtain split components of the engine;

Acquiring a virtual asset value of a splitting component corresponding to the splitting component, generating a second permission transfer request according to the virtual asset value of the splitting component, and sending the second permission transfer request to fifth equipment; the second rights transfer request is for requesting transfer of ownership of the split component to the fifth device;

receiving a second right transfer confirmation message returned by the fifth device based on the second right transfer request, and sending a device account corresponding to the fourth device to the fifth device according to the second right transfer confirmation message, so that the fifth device obtains split virtual asset data corresponding to the virtual asset value of the split component in the device account corresponding to the fifth device, and transfers the split virtual asset data to the fourth device;

and transferring ownership of the splitting component to the fifth device according to the asset reception acknowledgement message returned by the fourth device based on the splitting virtual asset data.

7. The method of claim 1, wherein the virtual asset assessment reference value comprises an incident damage rate and a maintenance adjustment reference value;

The generating, by the smart contract, the virtual asset compromise data and the voyage data, a virtual asset assessment reference value for the engine, comprising:

generating the accident damage rate for the engine according to the intelligent contract and the virtual asset damage data;

and generating maintenance adjustment reference value for the engine according to the intelligent contract, the navigation data and the virtual asset damage data.

8. The method of claim 7, wherein the generating the incident damage rate for the engine from the smart contract and the virtual asset damage data comprises:

invoking an evaluation execution function in the intelligent contract, and traversing the virtual asset damage data through the evaluation execution function;

if accident proof data exists in the virtual asset damage data, acquiring an engine type of the engine from the virtual asset damage data through the evaluation execution function, acquiring a first accident damage rate matched with the engine type from a blockchain total database, and taking the first accident damage rate as the accident damage rate; the accident proof data refers to proof data that the engine has no accident;

If the accident proof data does not exist in the virtual asset damage data, acquiring accident occurrence data from the virtual asset damage data through the evaluation execution function, acquiring a second accident damage rate matched with the engine type and the accident occurrence data from the blockchain full database, and taking the second accident damage rate as the accident damage rate; the accident occurrence data refers to historical data of the accident occurrence of the engine;

and if the accident proof data and the accident occurrence data do not exist in the virtual asset damage data, acquiring a third accident damage rate matched with the engine type from the blockchain full database through the evaluation execution function, and taking the third accident damage rate as the accident damage rate.

9. The method of claim 7, wherein the generating maintenance adjustment baseline value for the engine based on the smart contract, the voyage data, and the virtual asset compromise data comprises:

invoking an evaluation execution function in the intelligent contract, and acquiring maintenance sailing duration and maintenance sailing period of the engine in the sailing data through the evaluation execution function; the maintenance sailing duration refers to the duration of sailing by using the engine after performance recovery maintenance is performed on the engine; the maintenance sailing period refers to a period of sailing by using the engine after performance recovery maintenance is performed on the engine;

Acquiring the thrust power reduction of the engine in the virtual asset damage data through the evaluation execution function, and determining the performance maintenance unit cost rate and the average maintenance time of the engine according to the thrust power reduction, the maintenance navigation duration and the maintenance navigation period;

acquiring a passing area corresponding to the maintenance sailing period, and acquiring an area damage rate corresponding to the passing area in a blockchain total database through the evaluation execution function;

acquiring corresponding navigation damage rate when the engine is in a non-first navigation state from the full database, and determining a half-life state value for the engine according to the average maintenance time, the regional damage rate and the navigation damage rate;

and generating a maintenance adjustment reference value for the engine according to the performance maintenance unit cost rate, the half-life state value and the maintenance navigation duration.

10. The method of claim 9, wherein the determining the performance maintenance unit cost rate and average maintenance time of the engine based on the thrust cutback, the maintenance voyage duration, and the maintenance voyage period comprises:

Determining a maintenance ratio between the maintenance voyage duration and the maintenance voyage period;

acquiring a data matrix corresponding to the engine from the blockchain full database through the evaluation execution function; the data matrix comprises a first mapping relation and a second mapping relation; the first mapping relation is the mapping relation between the configuration data set and the configuration performance maintenance unit cost rate; the second mapping relation is the mapping relation between the configuration data set and the configuration average maintenance time; the configuration data set is a data set formed by configuration thrust power reduction and configuration ratio, and the configuration ratio is a ratio formed by configuration maintenance navigation duration and configuration maintenance navigation period;

matching a maintenance data set formed by the thrust power reduction and the maintenance ratio with the data matrix, and acquiring a configuration data set matched with the maintenance data set from the data matrix as a target configuration data set;

and setting a configuration performance maintenance unit cost rate with the first mapping relation with the target configuration data set as the performance maintenance unit cost rate of the engine, and setting a configuration average maintenance time with the second mapping relation with the target configuration data set as the average maintenance time of the engine.

11. The method of claim 9, wherein the generating a maintenance adjustment baseline value for the engine based on the performance maintenance cost per unit rate, the half-life status value, and the maintenance voyage duration comprises:

determining a difference value between the half-life state value and the maintenance sailing duration, and multiplying the performance maintenance unit cost rate by the difference value to obtain a performance recovery maintenance adjustment value of the engine;

acquiring a time and life component of the engine, and acquiring the maximum sailing duration corresponding to the time and life component, the historical sailing period corresponding to the time and life component, the component number of the time and life component and the engine type of the engine from the sailing data through the evaluation execution function;

acquiring the virtual asset value of the life component matched with the engine type and the component number from a blockchain full database through the evaluation execution function;

generating a time-to-life component adjustment value for the time-to-life component based on the maximum voyage duration, the historical voyage period, and the time-to-life component virtual asset value;

performing addition operation processing on the performance recovery maintenance adjustment value and the time and life assembly adjustment value to obtain a target maintenance adjustment value of the engine;

And acquiring the engine type of the engine from the navigation data through the evaluation execution function, acquiring the half-life virtual asset value matched with the engine type from a blockchain total database, and adding the half-life virtual asset value and the target maintenance adjustment value to obtain the maintenance adjustment reference value of the engine.

12. An asset data processing device, comprising:

the data query module is used for querying virtual asset data matched with the staged virtual asset data in the equipment account of the first equipment in the staged contracted compensation time range; the phasing virtual asset data is phasing compensation virtual asset corresponding to engine virtual asset data; the engine virtual asset data is virtual asset data corresponding to the application virtual asset value carried in an object right transfer request for the engine sent by the first equipment to the second equipment; the object right transfer request is used for requesting to transfer the object accessory right of the engine to the second equipment, and the first equipment is provided with the object use right of the engine after the object accessory right is transferred; the first device is a device corresponding to a user having ownership for the engine;

The information query module is used for acquiring the virtual asset auxiliary information of the first equipment if the virtual asset data queried in the equipment account of the first equipment is smaller than the staged virtual asset data in the staged contracted compensation time range; the virtual asset auxiliary information comprises historical input data, historical output data and virtual asset auxiliary data corresponding to the user with ownership for the engine;

the contract calling module is used for calling intelligent contracts;

13. A computer device, comprising: a processor, a memory, and a network interface;

the processor is connected to the memory, the network interface for providing network communication functions, the memory for storing program code, the processor for invoking the program code to perform the method of any of claims 1-11.

14. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program adapted to be loaded by a processor and to perform the method of any of claims 1-11.