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

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

An asset data processing method, device, equipment and readable storage medium

Technical field

This application relates to the field of computer technology, and in particular to an asset data processing method, device, equipment and readable storage medium.

Background technique

Property rights transfer means that the first user with ownership of the item transfers the item mortgage authority of the item to the second user, so that the first user can obtain the corresponding item virtual assets from the second user based on the transfer of property rights of the item. data. After the first user successfully obtains the item virtual asset data from the second user, the first user needs to agree with the second user on the amortization time for the item virtual asset data and the amortization of the virtual asset.

Currently, manual inspection is usually used to check whether the first user has repaid the virtual assets in installments according to the amortization time. This makes it difficult to avoid inspection errors due to huge data and personnel omissions. For example, the first user fails to repay the virtual assets in installments according to the amortization time. The repayment of virtual assets in installments on time is in an abnormal state of repayment, but the first user's repayment abnormality has not been detected; or the first user has repaid the virtual assets in installments on time, which is in a normal state of repayment, but the first user has been found to be in an abnormal state of repayment. Reimburse abnormal status situations. When the first user fails to repay the virtual assets in installments on time, the items need to be recycled and disposed. If the inspection is wrong, items that should not be recycled and disposed may be recycled and disposed, which affects the item recycling and disposal business. Accuracy; errors in inspection may also delay the time for recycling and disposal of items, making it impossible to recycle items in a timely manner.

Contents of the invention

Embodiments of the present application provide an asset data processing method, device, equipment and readable storage medium, which can improve the efficiency and accuracy of the asset recovery business of items.

On the one hand, the embodiment of this application provides an asset data processing method, including:

Within the phased compensation time range, query the device account of the first device for virtual asset data that matches the phased virtual asset data; the phased virtual asset data is the phased compensation virtual asset corresponding to the engine virtual asset data; the engine The virtual asset data is the virtual asset data corresponding to the applied virtual asset value carried in the property rights transfer request for the engine sent by the first device to the second device; the property rights transfer request is used to request that the engine's item attachment permissions be Transferred to the second device, the first device has the item use rights of the engine after the item accessory rights are transferred; the first device refers to the device corresponding to the user who has ownership of the engine;

If within the phased compensation time range, the virtual asset data queried in the equipment account of the first device is less than the phased virtual asset data, the virtual asset auxiliary information of the first device is obtained; the virtual asset auxiliary information includes the engine's auxiliary information. Historical input data, historical output data and virtual asset auxiliary data corresponding to the ownership user;

When it is detected that the first equipment does not have the compensation capability based on historical input data, historical output data and virtual asset auxiliary data, obtain the virtual asset loss data and navigation data of the engine;

Call the smart contract, generate a virtual asset evaluation reference value for the engine through the smart contract, virtual asset loss data and navigation data, and send the virtual asset evaluation reference value and the engine's item usage rights to the second device, so that the second device can be based on The engine is recycled based on the virtual asset evaluation reference value and the engine's item usage rights.

On the one hand, embodiments of the present application provide an asset data processing device, including:

The data query module is used to query the virtual asset data matching the phased virtual asset data in the equipment account of the first device within the phased agreed compensation time range; the phased virtual asset data is the segmentation corresponding to the engine virtual asset data. Stage compensation virtual assets; the engine virtual asset data is the virtual asset data corresponding to the applied virtual asset value carried in the property rights transfer request for the engine sent by the first device to the second device; the property rights transfer request is used to request Transfer the engine's item attachment permissions to the second device, and the first device has the engine's item use permissions after the item attachment permissions are transferred; the first device refers to the device corresponding to the user who has ownership of the engine;

The information query module is used to obtain the virtual asset auxiliary information of the first device if the virtual asset data queried in the device account of the first device is less than the phased virtual asset data within the phased compensation time range; virtual assets Auxiliary information includes historical input data, historical output data and virtual asset auxiliary data corresponding to the user who owns the engine;

The data acquisition module is used to obtain the virtual asset loss data and navigation data of the engine when it is detected that the first equipment does not have the compensation capability based on historical input data, historical output data and virtual asset auxiliary data;

Contract calling module, used to call smart contracts;

The reference value generation module is used to generate a virtual asset evaluation reference value for the engine through smart contracts, virtual asset loss data and navigation data, and send the virtual asset evaluation reference value and the item use rights of the engine to the second device so that the third device can The second device recycles the engine based on the virtual asset evaluation reference value and the engine's item use rights.

Among them, the device also includes:

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

The prediction data determination module is used to determine the prediction input data corresponding to the user with ownership of the engine through the prediction model and the first data feature; the prediction input data refers to the prediction data within the expected time range; the expected time range refers to the first The time range within which the device compensates the second device for the remaining virtual asset data; the remaining virtual asset data refers to the asset data in the total compensation asset data that the first device has not compensated for the second device; the total compensation asset data refers to the first device The asset data that the equipment needs to compensate to the second equipment within the expected time period, and the value of the total asset data of the compensation is equal to the value of the engine virtual asset data;

The prediction data determination module is also used to determine the prediction output data corresponding to the user who owns the engine through the prediction model and the second data feature; the prediction output data refers to the prediction data within the expected time range;

The computing module is used to add the prediction input data and the virtual asset auxiliary data to obtain the computing virtual asset data, and determine the difference between the computing virtual asset data and the prediction output data;

A capability determination module, used to determine that the second device has the compensation capability if the difference is greater than or equal to the remaining virtual asset data;

The capability determination module is also used to determine that the second device does not have the compensation capability if the difference is less than the remaining virtual asset data.

Among them, the device also includes:

A prompt information generation module, configured to generate compensation warning prompt information based on 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 to Prompt the first device that the virtual asset data in the device account of the first device does not meet the conditions for compensating the staged virtual asset data;

The request receiving module is used to receive the use rights transfer request for the engine returned by the first device based on the compensation warning prompt information; the use rights transfer request is used to request the temporary use rights of the engine to be transferred to the contracted device; the use rights transfer request includes a phased The agreed transfer time corresponding to the contracted virtual assets and the staged contracted virtual assets; the agreed transfer time refers to the time when the contracted device transfers the staged contracted virtual assets to the first device;

The request sending module is used to send the use rights transfer request to the contract device, so that the contract device returns a use rights transfer confirmation message based on the use rights transfer request, the phased contract virtual asset and the agreed transfer time;

The scope update module is used to update the phased agreed compensation time range based on the usage rights transfer confirmation message, and within the updated phased agreed compensation time range, query and phased virtual asset data in the device account of the first device Matching virtual asset data; the updated phased agreed compensation time range includes the time range corresponding to the agreed transfer time;

The condition determination module is used to determine if the virtual asset data queried in the device account of the first device is greater than or equal to the phased virtual asset data within the updated phased agreed compensation time range, then determine the phased compensation time after the update. Within the agreed compensation time range, the virtual asset data queried in the device account of the first device meets the conditions for compensation of phased virtual asset data;

The first step execution module is used to execute the integration of the historical input data with the historical input data if the virtual asset data queried in the device account of the first device is less than the phased virtual asset data within the updated phased agreed compensation time range. The step of inputting the output data to the prediction model and extracting the first data characteristics of the historical input data and the second data characteristics of the historical output data through the prediction model.

Among them, the device also includes:

The status detection module is used to detect the quality status of the engine based on the use rights transfer request;

The disassembly module is used to disassemble the engine and obtain the disassembled components of the engine if the quality status of the engine does not meet the conditions for transfer of use rights;

The request processing module is used to obtain the virtual asset value of the disassembled component corresponding to the disassembled component, generate a component permission transfer request based on the virtual asset value of the disassembled component, and send the component permission transfer request to the third device; the component permission transfer request is used to request Transfer ownership of disassembled components to third equipment;

The message receiving module is used to receive the component permission transfer confirmation message returned by the third device based on the component permission transfer request, obtain the remaining virtual asset data according to the component permission transfer confirmation message, and combine the device account corresponding to the second device with the value of the remaining virtual asset data. is sent 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 the total asset data of the first device that is not compensated. The asset data that compensates the second equipment; the total asset data for compensation refers to the asset data that the first equipment needs to compensate the second equipment within the expected time period, and the value of the total asset data for compensation is equal to the value of the engine virtual asset data;

The second step execution module is used to send the use rights transfer request to the contract device if the quality status of the engine meets the use rights transfer conditions, so that the contract equipment can be based on the use rights transfer request, the phased contract virtual assets and the agreed transfer time. Return to the steps for using the permission transfer confirmation message.

Among them, the device also includes:

The processing message receiving module is used to receive the recycling processing confirmation message sent by the second device; the recycling processing confirmation 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 evaluation reference value ;

The request generation module is used to generate a first permission transfer request based on the virtual asset value, and send the first permission transfer request and the virtual asset value to the third device; the first permission transfer request is used to request to transfer the ownership of the engine to the fourth device. equipment;

The recovery asset acquisition module is used to receive the first permission transfer confirmation message returned by the fourth device based on the first permission transfer request and the virtual asset value, and obtain the remaining virtual asset data according to the first permission transfer confirmation message; the remaining virtual asset data refers to the compensation In the total asset data, the first equipment does not compensate the second equipment; the total compensation asset data refers to the asset data that the first equipment needs to compensate the second equipment within the expected time period, and the value of the total compensation asset data is equal to The numerical value of engine virtual asset data;

The account sending module is used 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 is in the virtual asset data corresponding to the virtual asset value. , obtain the virtual asset data corresponding to the value of the remaining virtual asset data, transfer the virtual asset data corresponding to the value of the remaining virtual asset data to the device account corresponding to the second device, and transfer the legacy virtual asset data to the device corresponding to the first device In the account; legacy virtual asset data refers to the virtual asset data corresponding to the value of the virtual asset, except for the remaining virtual asset data;

The authority transfer module 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 the ownership of the engine to the fourth device according to the data reception confirmation message.

Among them, the device also includes:

The split request acquisition module is used to receive a split request for the engine sent by the fourth device; the split request is used to split the components of the engine to obtain the split components of the engine;

The request processing module is used to obtain the virtual asset value of the split component corresponding to the split component, generate a second permission transfer request based on the virtual asset value of the split component, and send the second permission transfer request to the fifth device; second permission transfer request For requesting the transfer of ownership of a split component to a fifth device;

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

The component authority transfer module is configured to transfer the 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.

Among them, the virtual asset evaluation reference value includes the accident loss rate and the maintenance adjustment base value;

Reference value generation module, including:

The loss rate generation unit is used to generate the accident loss rate for the engine based on the smart contract and virtual asset loss data;

The benchmark value generation unit is used to generate a benchmark value for engine maintenance adjustments based on smart contracts, navigation data and virtual asset loss data.

Among them, the loss rate generation unit includes:

The data traversal subunit is used to call the evaluation execution function in the smart contract and traverse the virtual asset loss data through the evaluation execution function;

The loss rate determination subunit is used to obtain the engine type of the engine in the virtual asset loss data through the evaluation execution function if there is accident proof data in the virtual asset loss data, and obtain the engine type in the blockchain full database. Match the first accident loss rate, and use the first accident loss rate as the accident loss rate; the accident proof data refers to the proof data that the engine did not have an accident;

The loss rate determination subunit is also used to obtain the accident occurrence data in the virtual asset loss data through the evaluation execution function if there is no accident proof data in the virtual asset loss data, and obtain it in the blockchain full database with the engine The second accident loss rate matches the type and accident occurrence data, and the second accident loss rate is used as the accident loss rate; the accident occurrence data refers to the historical data of engine accidents;

The loss rate determination subunit is also used to obtain the third-party data matching the engine type in the blockchain full database through the evaluation execution function if there is no accident proof data and no accident occurrence data in the virtual asset loss data. For the accident loss rate, the third accident loss rate is used as the accident loss rate.

Among them, the benchmark value generation unit includes:

The maintenance data acquisition subunit is used to call the evaluation execution function in the smart contract. Through the evaluation execution function, the maintenance voyage time and maintenance voyage cycle of the engine are obtained in the voyage data; the maintenance voyage duration refers to the performance restoration and maintenance of the engine. The duration of sailing using the engine; the maintenance sailing cycle refers to the period of sailing using the engine after performance restoration and maintenance of the engine;

The data determination subunit is used to obtain the thrust reduction power of the engine from the virtual asset loss data by evaluating the execution function, and determine the performance maintenance unit cost rate and average maintenance of the engine based on the thrust reduction power, maintenance voyage duration and maintenance voyage cycle. time;

The data determination subunit is also used to obtain the travel area corresponding to the maintenance voyage cycle, and obtain the regional loss rate corresponding to the travel area in the blockchain full database by evaluating the execution function;

The data determination subunit is also used to obtain the corresponding voyage damage rate when the engine is not in the first voyage state in the full database, and determine the half-life state value of the engine based on the average maintenance time, regional damage rate and voyage damage rate. ;

The baseline value generation subunit is used to generate a maintenance adjustment baseline value for the engine based on the performance maintenance unit cost rate, half-life status value and maintenance voyage duration.

Among them, the data determination subunit is also used to determine the maintenance ratio between the maintenance voyage duration and the maintenance voyage cycle;

The data determination subunit is also used to obtain the data matrix corresponding to the engine in the blockchain full database by evaluating the execution function; the data matrix includes a first mapping relationship and a second mapping relationship; the first mapping relationship is the configuration data group and configuration The mapping relationship between the performance maintenance unit cost rate; the second mapping relationship is the mapping relationship between the configuration data group and the configuration average maintenance time; the configuration data group refers to the data group composed of the configuration thrust reduction power and the configuration ratio, and the configuration ratio It refers to the data group composed of configuration maintenance voyage duration and configuration maintenance voyage cycle;

The data determination subunit is also used to match the maintenance data group composed of thrust reduction power and maintenance ratio with the data matrix, and obtain the configuration data group that matches the maintenance data group in the data matrix as the target configuration data group;

The data determination subunit is also configured to use the configuration performance maintenance unit cost rate that has a first mapping relationship with the target configuration data group as the performance maintenance unit cost rate of the engine, and average the configurations that have a second mapping relationship with the target configuration data group. Maintenance time is taken as the average maintenance time of the engine.

Among them, the benchmark value generation subunit is also used to determine the difference between the half-life status value and the maintenance voyage duration, and multiplies the performance maintenance unit cost rate and the difference to obtain the engine's performance recovery maintenance adjustment value;

The benchmark value generation subunit is also used to obtain the life component of the engine. Through the evaluation execution function, the maximum voyage duration corresponding to the life component, the historical voyage cycle corresponding to the life component, the component number of the life component and Engine type of engine;

The benchmark value generation subunit is also used to obtain the virtual asset value of the life component that matches the engine type and component number in the blockchain full database through the evaluation execution function;

The benchmark value generation subunit is also used to generate the life component adjustment value for the life component based on the maximum voyage duration, historical voyage cycle and the virtual asset value of the life component;

The benchmark value generation subunit is also used to add the performance recovery maintenance adjustment value and the life component adjustment value to obtain the target maintenance adjustment value of the engine;

The benchmark value generation subunit is also used to obtain the engine type of the engine from the navigation data through the evaluation execution function, obtain the Banshou virtual asset value matching the engine type in the blockchain full database, and combine the Banshou virtual asset value with The target maintenance adjustment values are added together to obtain the maintenance adjustment baseline value of the engine.

On the one hand, embodiments of the present application provide a computer device, including: a processor and a memory;

The memory stores a computer program. When the computer program is executed by the processor, it causes the processor to execute the method in the embodiment of the present application.

On the one hand, embodiments of the present application provide a computer-readable storage medium. The computer-readable storage medium stores a computer program. The computer program includes program instructions. When executed by a processor, the program instructions execute the methods in the embodiments of the present application.

In one aspect of the present application, a computer program product or computer program is provided, which computer program product or computer program 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 executes the method provided in one aspect of the embodiment of the present application.

In the embodiment of this application, after the user with engine ownership transfers the property rights of the engine to the second device through the first device and successfully obtains the engine virtual asset data from the second device, the first device needs to compensate the engine in stages. The total asset data (the value consistent with the engine virtual asset data) is compensated (repaid), that is, the first device needs to transfer the phased virtual asset data to the second device within the phased compensation time range. This application can use the blockchain to automatically determine whether the first device has the ability to compensate for the staged virtual asset data. If the first device does not have the ability to compensate, it can be based on the engine's virtual asset loss data and navigation. The data generates an asset evaluation reference value, so that the second device 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 understood that this application can use the blockchain to check whether the first device can compensate the second device for virtual assets on time without manual participation, which can improve the efficiency of the inspection, thereby improving the efficiency of the asset recovery business of items; at the same time, Since the blockchain is tamper-proof and traceable, it can make the data authentic and reliable, making the inspection results reliable, thus making the engine asset recovery business more secure and accurate. In summary, this application can improve the efficiency and accuracy of the asset recovery business of items.

Description of the drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting creative efforts.

Figure 1 is a network architecture diagram provided by an embodiment of the present application;

Figure 2 is a schematic diagram of a scenario provided by an embodiment of the present application;

Figure 3 is a schematic flow chart of an asset processing method provided by an embodiment of the present application;

Figure 4 is a schematic structural diagram of an asset data processing device provided by an embodiment of the present application;

Figure 5 is a schematic structural diagram of a computer device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this application.

Please refer to Figure 1, which is a schematic diagram of a network architecture provided by an embodiment of the present application. Blockchain is a new application model of computer technology such as distributed data storage, point-to-point transmission, consensus mechanism and encryption algorithm. It is mainly used to organize data in chronological order and encrypt it into a ledger, making it impossible to be tampered with and forged. , and data verification, storage and update can be performed at the same time. The blockchain is essentially a decentralized database. Each node in the database stores an identical blockchain. The blockchain network divides the nodes into core nodes, data nodes and light nodes. The core node is responsible for The consensus of the entire blockchain network means that the core node is the consensus node in the blockchain network. The process of writing transaction data into the ledger in the blockchain network can be that the client sends the transaction data to the data node or light node, and then the transaction data is transferred between the data nodes or light nodes in the blockchain network in the form of a baton. Until the consensus node receives the transaction data, the consensus node then packages the transaction data into a block and reaches consensus with other consensus nodes. After the consensus is passed, the block carrying the transaction data is written into the ledger.

Among them, it can be understood that the blockchain system can include smart contracts. The smart contract in the blockchain system can be understood as a code that can be understood and executed by each node of the blockchain (including consensus nodes). Can execute arbitrary logic and get results. Users can initiate a transaction service request through the client, calling the smart contract that has been deployed on the blockchain. Subsequently, the data node or light node on the blockchain can send the transaction service request to the consensus node, and the block Each consensus node on the chain can run the smart contract separately. It should be understood that the blockchain can include one or more smart contracts, and these smart contracts can be distinguished by identification numbers (Identity document, ID) or names, and the transaction service request initiated by the client can also carry the smart contract's The identification number or name is used to specify the smart contract that needs to be run on the blockchain. After the smart contract is completed and the execution results are obtained, each consensus node will verify with each other whether the execution results are consistent (that is, consensus). If they are consistent, the execution can be The results are stored in their respective local ledgers and the execution results are returned to the client.

As shown in Figure 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 Figure 1, the core node cluster 1000 may include core nodes 1000a, core nodes 1000b, ..., and core nodes 1000n. The data node cluster 100 may specifically include data nodes 100a, data nodes 100b, ..., data nodes 100n. The user terminal cluster 10 may specifically include user terminals 10a, user terminals 10b, ..., user terminals 10n.

As shown in Figure 1, the user terminal 10a, the user terminal 10b,..., the user terminal 10n can perform network connections with the data node 100a, the data node 100b,..., the data node 100n respectively, so that the user terminal can connect to the data through the network. The nodes perform data interaction; the data node 100a, the data node 100b,..., the data node 100n can respectively perform network connections with the core node 1000a, the core node 1000b,..., the core node 1000n, so that the data node can connect to the core node through the network Perform data interaction; data nodes 100a, data nodes 100b, ..., and data nodes 100n are connected to each other to facilitate data interaction between data nodes. Core nodes 1000a, core nodes 1000b, ..., and core nodes 1000n are connected to each other to facilitate the core node. Data exchange can occur between nodes.

Taking user terminal 10a, data node 100a and core node 1000a as an example, data node 100a can receive a transaction service request sent by user terminal 10a (the transaction service request carries the ID or name of the smart contract), and then, data node 100a can The transaction service request is sent to the core node 1000a through the data node cluster 100; and the core node 1000a can run the smart contract and execute the transaction service through the smart contract. After obtaining the execution result, the execution result can be stored in the memory pool. (such as a transaction pool), and generate new blocks based on the execution results; subsequently, the core node 1000a can separate the above newly generated blocks according to the node identifiers of other core nodes (i.e. consensus nodes) in the blockchain network. Sent to other core nodes in the blockchain network where it is located, the other core nodes will verify the newly generated block (that is, perform consensus), and after completing the verification, the above newly generated block will be added to its stored in the blockchain (that is, the execution results are stored in the blockchain after the consensus is passed). Among them, each core node in the blockchain network has its corresponding node identifier, and each core node in the blockchain network can store the node identifiers of other core nodes in the blockchain network for subsequent use. According to the node identification of other core nodes, the generated blocks are broadcast to other core nodes in the blockchain network, so that the data stored on all core nodes in the blockchain network is consistent.

This application can propose a blockchain-based asset processing method based on the characteristics of the blockchain that cannot be tampered with or forged. It should be understood that a user who owns an engine can send a property rights transfer request for the engine to the blockchain node through the user terminal. The property rights transfer request may refer to a request to transfer the engine's item-affiliated permissions. The item-affiliated permissions But it refers to the authority to mortgage items. When a user with engine ownership initiates a property rights transfer request, he or she can combine the engine's initial virtual asset-related data (for example, initial voyage data, initial asset impairment data, initial historical maintenance data, temporary use contract, etc.) with the application virtual asset. The asset value is sent to the blockchain through the user terminal, and the provider of virtual asset data can determine the final virtual asset value of the engine based on the virtual asset associated data; when the virtual asset value is greater than or equal to the applied virtual asset After the value is reached (for example, the value of the virtual asset is 150,000 yuan, which is greater than the applied virtual asset value of 100,000 yuan), the provider can return a property rights transfer confirmation message to the blockchain node; then, the blockchain node can transfer the engine The account of the user with ownership is sent to the provider, and the provider can transfer the engine virtual asset data (100,000 yuan) corresponding to the applied virtual asset value to the account of the user with engine ownership. The provider can also obtain item mortgage rights for the engine. After the transfer of property rights, users with engine ownership need to repay the total compensation asset data (the total compensation asset data is consistent with the value of the engine virtual asset data obtained from the provider) to the provider in stages and on time ( Compensation) phased virtual assets, and for this process, the blockchain can be used to automatically check whether users with engines can repay the phased virtual asset data on time, without manual participation, which can improve the efficiency of inspection, thereby improving the asset recovery of the engine Business efficiency; at the same time, because the blockchain is tamper-proof and traceable, it can make the data and its inspection results authentic and reliable, making the engine's asset recovery business more secure and accurate.

The following will take the core node 1000a, the data node 100a, the user terminal 10a and the user terminal 10b as examples to illustrate the specific method provided by this application. Within the compensation time range agreed in stages, the core node 1000a can be used in the terminal account corresponding to the user terminal 10a. , query the virtual asset data that matches the staged virtual asset data. Among them, the phased compensation time range and the phased virtual asset data can be used by the user terminal 10a (the terminal corresponding to the user with engine ownership) and the user terminal 10b (the terminal corresponding to the virtual asset data provider) for the engine. Mutually agreed upon when property rights are transferred. If within the phased agreed compensation time range, the virtual asset data queried in the terminal account of the user terminal 10a is less than the phased virtual asset data, it can mean 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 can obtain the virtual asset auxiliary information of the user with engine ownership. The virtual asset auxiliary information may include historical input data, historical output data and virtual asset auxiliary data; further, the core Node 1000a can call a smart contract, and determine whether the user terminal 10a has the compensation capability through the smart contract, the historical input data, historical output data and virtual asset auxiliary data (the compensation capability can refer to the supplementary total asset data, or whether the user terminal 100a has the compensation capability. The remaining virtual asset data that has not been repaid to the user terminal 10b, whether the user terminal 10a has the ability to repay); if it is determined that the user terminal 10a does not have the ability to compensate, the core node 1000a can obtain the virtual asset associated data of the engine, where, the The virtual asset related data may be provided by the user terminal 10b after the property rights are transferred, and the virtual asset related data may include (for example, navigation data, asset damage data, historical maintenance data, temporary use contract, etc.). Further, the core node 1000a can call a smart contract, and through the smart contract and the virtual asset associated data (for example, navigation data, asset loss data), a virtual asset evaluation reference value for the engine can be generated; the core node 1000a can The virtual asset evaluation reference value and the item use permission of the engine are sent to the user terminal 10b together, so that the user terminal 10b can perform asset recovery processing on the engine based on the virtual asset evaluation reference value and the item use permission of the engine. .

For ease of understanding, please refer to Figure 2 as well. Figure 2 is a schematic diagram of a scenario provided by an embodiment of the present application. The user terminal A shown in Figure 2 can be any user terminal in the user terminal cluster 10 in the embodiment corresponding to Figure 1, for example, the user terminal is 10a; the user terminal B shown in Figure 2 It can be any user terminal in the user terminal cluster 10 in the embodiment corresponding to the above-mentioned Figure 1, for example, the user terminal is 10b; and the blockchain node shown in Figure 2 can be the embodiment corresponding to the above-mentioned Figure 1 Any core node in the core node cluster 1000, for example, the core node may be the core node 1000b.

As shown in Figure 2, user a can be a user with engine ownership. After user a initiated a property rights transfer request for the engine through user terminal A, he successfully obtained the engine virtual asset data provided by user b; subsequently, user a a needs to repay (compensate) the total compensation asset data corresponding to the engine virtual asset data to user b in multiple stages. The repayment time each time is the phased compensation time range. The phased compensation time range can be fixed. Within the time range (for example, the 10th to the 15th of each month), within the agreed compensation time range of each stage, user a needs to repay the staged virtual asset data. For example, the engine virtual asset data provided by user b to user a on December 15, 2020 is 6,000 yuan. User a needs to repay the 6,000 yuan to user b in 4 stages. The 6,000 yuan can be the total compensation asset. According to the data, the phased compensation time ranges corresponding to these four stages are December 10-15, 2022, January 10-15, 2023, February 10-15, 2023, and March 2023. From the 10th to the 15th, 1,500 yuan needs to be repaid within the agreed compensation time range for each stage, and the 1,500 yuan can be used as the staged virtual asset data.

It should be understood that within the agreed compensation time range in each phase, the blockchain node can query the balance of user A from the terminal account of user terminal A (user a’s account address) to determine whether the balance is sufficient to repay the phased virtual compensation. Asset data. For example, as shown in Figure 2, from January 10 to January 15, 2023, the blockchain node can access the terminal account of the user terminal A to query the phased virtual asset data (1500) in the terminal account. The matching virtual asset data is shown in Figure 2. The balance in user terminal A is 1,000 yuan, so the virtual asset data queried by the blockchain node is 1,000 yuan. Further, the blockchain node can compare the balance of 1,000 yuan with the staged virtual asset data of 1,500 yuan. It can be seen that 1,000 yuan is less than 1,500 yuan. That is to say, the balance is not enough to repay, then the block The chain node can obtain user a's virtual asset auxiliary information. For example, it can obtain user a's historical input data (historical income data, such as salary income, transfer income data), historical output data (historical expenditure data, such as shopping, transfers) Expenditure and other data) and virtual asset auxiliary data (such as real estate, real estate, diamonds, jewelry and other data under the name of user A).

Furthermore, the blockchain node can call the smart contract. Through the smart contract and the virtual asset auxiliary information of the user a, the compensation ability of the user a can be evaluated to determine whether the user a still has the ability to repay the remaining 4500. If it is determined that user a has the ability to compensate, the blockchain node can generate compensation prompt information to prompt user a to repay within the specified time range; if it is determined that user a does not have the ability to compensate, then The blockchain node can obtain the virtual asset related data of the engine (which can be the navigation data, asset loss data, etc. provided by user B through user terminal B). Further, the blockchain node can associate data with the virtual assets of the engine through smart contracts to generate a virtual asset evaluation reference value for the engine. The blockchain node can combine the virtual asset evaluation reference value with the engine's item use rights. And sent to user terminal B, user B can use the user terminal B to perform asset recovery processing on the engine based on the virtual asset evaluation reference value and the engine's item use rights.

For the specific implementation method of the blockchain node determining the engine's virtual asset evaluation reference value based on the engine's virtual asset associated data, please refer to the subsequent description in the embodiment corresponding to Figure 3. It should be understood that for the staged virtual asset compensation process, the blockchain can be used to automatically check whether the user with engine ownership has the ability to repay on time, without manual participation, which can improve the efficiency of the inspection, thereby improving the asset recovery business of the engine. Efficiency; at the same time, because the blockchain is tamper-proof and traceable, it can make the data and its inspection results authentic and reliable, making the engine's asset recovery business more secure and accurate.

Further, please refer to Figure 3, which is a schematic flowchart of an asset processing method provided by an embodiment of the present application. The method can be executed by a blockchain node (for example, the core node in the embodiment corresponding to Figure 1 above), or can be executed by a blockchain node and a user terminal (for example, the user terminal in the embodiment corresponding to Figure 1 above). terminal) to execute together. The following is an example of how this method is executed by a blockchain node. The engine-based data processing method can at least include the following steps S101 to S104:

Step S101: Within the phased compensation time range, query the device account of the first device for virtual asset data that matches the phased virtual asset data; the phased virtual asset data is the phased compensation virtual asset data corresponding to the engine virtual asset data. Asset; the engine virtual asset data is the virtual asset data corresponding to the applied virtual asset value carried in the property rights transfer request for the engine sent by the first device to the second device; the property rights transfer request is used to request the transfer of the engine's property rights. The item attachment permission is transferred to the second device, and the first device has the item use permission of the engine after the item attachment permission is transferred; the first device refers to the device corresponding to the user who has ownership of the engine.

In this application, the user (user with ownership of the engine) can initiate a property rights transfer request for the engine through the user terminal, where the property rights transfer request may refer to a transfer request for item accessory permissions, and the item accessory permissions may refer to item mortgage permissions. . The property rights transfer request may include the engine's virtual asset-related data input by the user and the applied virtual asset value. The virtual asset-related data may include the engine's navigation data, virtual asset loss data, the engine's temporary use contract and factory documents. , etc.; in response to the property rights transfer request, the provider of the virtual asset can determine the virtual asset value of the engine based on the virtual asset associated data. After determining that the value of the virtual asset is greater than or equal to the value of the applied virtual asset, the provider can Generate a property rights transfer confirmation message based on the applied virtual asset value, and send the property rights transfer confirmation message to the blockchain node, and the blockchain node can transfer the account of the user with engine ownership based on the property rights transfer confirmation message. Sent to the provider, the provider can transfer the virtual asset data corresponding to the applied virtual asset value to the account of the user with engine ownership. Subsequently, the user with engine ownership needs to compensate (repay) the total asset data (consistent with the value corresponding to the virtual asset data) to the provider in stages. Each stage corresponds to a staged agreed compensation time range. The staged agreed compensation time range can be determined by the provider or by a joint agreement between the provider and the user with engine ownership. For example, the staged agreed compensation time range can be 2020. Every 5th day from January to June of the year, every 5th day to the 10th day of each month in 2020, etc.; users need to compensate the phased virtual assets to the provided amount within the agreed compensation time range of each phase. Party, and the blockchain node can, within the agreed compensation time range of each stage, withdraw funds from the device account (i.e., the account address of the user with engine ownership) of the device corresponding to the user with engine ownership (i.e., the first device) , query the virtual asset data in the first device that matches the phased virtual asset data to determine whether the virtual asset data in the device account of the first device is sufficient to repay the phased virtual asset data.

Step S102, if within the phased agreed compensation time range, the virtual asset data queried in the device account of the first device is less than the phased virtual asset data, obtain the virtual asset auxiliary information of the first device; the virtual asset auxiliary information includes Historical input data, historical output data and virtual asset auxiliary data corresponding to the user who owns the engine.

In this application, the historical input data may include historical income data (such as salary income data, transfer income data, etc.), and the historical output data may include historical expenditure data (such as virtual asset transfer data, shopping expenditure data, etc.) ), the virtual asset auxiliary data may include data that can be used to redeem virtual asset data (for example, real estate, jewelry, diamonds, etc.) under the name of a user with engine ownership.

Step S103: When it is detected that the first equipment does not have the compensation capability based on the historical input data, historical output data and virtual asset auxiliary data, obtain the virtual asset damage data and navigation data of the engine.

In this application, the smart contract can be called, and through the smart contract, historical input data, historical output data and virtual asset auxiliary data, it can be determined whether the first device (the user with engine ownership) has the compensation capability. The specific method may be to input the historical input data and the historical output data into the prediction model, and extract the first data characteristics of the historical input data and the second data characteristics 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 who has ownership of the engine can be determined; wherein the prediction input data refers to the prediction data within the expected time range; the expected time range refers to the first device's prediction of the remaining virtual asset data for the second device The time range for compensation; wherein, the remaining virtual asset data refers to the asset data of the first device that has not compensated the second device in the total compensation asset data; the total compensation asset data refers to the first device that needs to compensate the second device within the expected time period. The asset data for compensation by the second equipment, and the value of the total asset data for compensation is equal to the value of the virtual asset data of the engine; the predicted output data corresponding to the user with ownership of the engine can be determined through the prediction model and the second data characteristics; the predicted output data It refers to the forecast data within the expected time range; then, the forecast input data and the virtual asset auxiliary data can be added together to obtain the calculated virtual asset data, and the difference between the calculated virtual asset data and the forecast output data can be determined ; If the difference is greater than or equal to the remaining virtual asset data, it can be determined that the second device has the ability to compensate; if the difference is less than the remaining virtual asset data, it can be determined that the second device does not have the ability to compensate.

It should be understood that the prediction model can be a Recurrent Neural Network (RNN) model. Through this prediction model, the characteristics of historical input data and historical output data can be obtained, so that the values of future input data and output data can be predicted. The total value of the virtual asset data owned by the user with engine ownership can be predicted in the future expected time range, and it can be determined whether the user with engine ownership has the compensation ability.

Among them, it should be understood that if the engine has been leased to other users (the other users are the leasing users), and the user with engine ownership uses the rent of the leasing user (contracted virtual assets) to repay the staged Virtual asset data, because the leasing user violates the lease agreement between users with engine ownership (for example, unilaterally fails to perform the lease agreement), causing the user with engine ownership to be unable to repay the staged virtual assets, then the user with engine ownership will Users can apply to the blockchain node to re-lease the engine, and the rent provided by the new leasing user will be used to repay the staged virtual assets; and if no new user rents the engine, or the new When the rent provided by the leasing user is insufficient to pay for the staged virtual asset, the above-mentioned steps of determining whether the first device has the compensation capability through historical input data, historical output data and virtual asset auxiliary data can be performed. That is to say, if the lease user defaults and is unable to repay the staged virtual asset data, the engine can be re-leased based on the application of the user with engine ownership, and the rent of the new lease user is sufficient to repay the staged virtual asset data. When the asset data is retrieved, it can be determined that the user with engine ownership has the repayment conditions and can use the rent of the new leasing user to repay the staged virtual asset data; and if there is no new user to re-lease or the new leasing user provides When the rent is insufficient to repay the staged virtual asset data, the historical input data, historical output data and virtual asset auxiliary data of the user with engine ownership are obtained to determine whether the user with engine ownership has the ability to repay.

The specific method may be 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 to prompt the third device. A device, the virtual asset data in the device account of the first device does not meet the conditions for compensating the staged virtual asset data; receiving a usage rights transfer request for the engine returned by the first device based on the compensation warning prompt information; the usage rights transfer request is used to Request to transfer the temporary use rights of the engine to the contracted equipment; the use rights transfer request includes the phased contract virtual assets and the agreed transfer time corresponding to the phased contracted virtual assets; the agreed transfer time refers to the contracted equipment transferring the phased contracted virtual assets to the third time of a device; send the use rights transfer request to the contract device, so that the contract device returns a use rights transfer confirmation message based on the use rights transfer request, the phased contract virtual asset and the agreed transfer time; according to the use rights transfer confirmation message, the contract device will The phased agreed compensation time range is updated. Within the updated phased agreed compensation time range, query the virtual asset data that matches the phased virtual asset data in the device account of the first device; the updated phased agreed compensation time The scope includes the time range corresponding to the agreed transfer time; if within the updated phased agreed compensation time range, the virtual asset data queried in the device account of the first device is greater than or equal to the phased virtual asset data, then it is determined that the updated Within the later phased agreed compensation time range, the virtual asset data queried in the device account of the first device has the conditions to compensate the phased virtual asset data; if within the updated phased agreed compensation time range, in the first equipment If the virtual asset data queried in the device account of the device is less than the staged virtual asset data, the historical input data and historical output data are input into the prediction model, and the first data feature of the historical input data and the historical output data are extracted through the prediction model. Second data feature step.

Among them, it should be understood that after the above-mentioned user with engine ownership makes a request to re-lease the engine, the blockchain node can first detect the quality status of the engine to determine whether the engine is suitable for leasing. In this quality status When the leasing conditions are met, the engine can be leased, that is, the above-mentioned steps related to leasing the engine are performed; if the quality of the engine does not meet the leasing conditions, the engine can be disassembled and sold. The dismantled virtual asset data obtained later is processed for asset transfer. The specific method can be to detect the quality status of the engine according to the use rights transfer request; if the quality status of the engine does not meet the conditions for use rights transfer, the engine is disassembled to obtain the disassembled components of the engine; subsequently, the disassembled components can be obtained Determine the virtual asset value of the disassembled component corresponding to the component, generate a component permission transfer request based on the virtual asset value of the disassembled component, and send the component permission transfer request to the third device; wherein, the component permission transfer request is used to request that the disassembled component be The ownership of the device is transferred to the third device; subsequently, the component permission transfer confirmation message returned by the third device based on the component permission transfer request can be received. The remaining virtual asset data can be obtained according to the component permission transfer confirmation message, and the device account corresponding to the second device can be obtained. The value of the remaining virtual asset data is sent 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; wherein the remaining virtual asset data may refer to In the compensation total asset data, the first equipment does not compensate the second equipment for the asset data; the compensation total asset data may refer to the asset data that the first equipment needs to compensate the second equipment within the expected time period, and the value of the compensation total asset data is equal to the value of the engine virtual asset data; and if the quality status of the engine meets the usage rights transfer conditions, the above mentioned usage rights transfer request can be sent to the contract device, so that the contract device can contract the virtual assets in stages based on the usage rights transfer request and The agreed transfer time returns the step of using the rights transfer confirmation message.

It should be understood that the item disposal virtual asset data for transfer to the asset recovery and processing platform can be obtained from the virtual asset data in the dismantled virtual asset data except the above-mentioned remaining virtual asset data. After being allocated to the platform, if the virtual asset is dismantled If there is still any remaining asset data, all the remaining data can be returned to the user who owns the engine.

Step S104, call the smart contract, generate a virtual asset evaluation reference value for the engine through the smart contract, virtual asset loss data and navigation data, and send the virtual asset evaluation reference value and the engine's item use rights to the second device, so that the third device The second device recycles the engine based on the virtual asset evaluation reference value and the engine's item use rights.

In this application, the virtual asset evaluation reference value includes the accident loss rate and the maintenance adjustment base value. Based on the smart contract and virtual asset loss data, the accident loss rate for the engine can be generated; based on the smart contract, navigation data, and virtual asset loss data, the maintenance adjustment baseline value for the engine can be generated. Among them, the specific method of generating the accident loss rate for the engine based on the smart contract and virtual asset loss data can be to call the evaluation execution function in the smart contract and traverse the virtual asset loss data through the evaluation execution function; if the virtual asset If there is accident proof data in the loss data, the engine type of the engine can be obtained from the virtual asset loss data through the evaluation execution function, and the first accident loss rate matching the engine type can be obtained in the blockchain full database, and the The first accident loss rate is used as the accident loss rate; the accident proof data can refer to the proof data that the engine did not have an accident; if there is no accident proof data in the virtual asset loss data, the virtual asset loss can be calculated through the evaluation execution function Obtain the accident data from the data, obtain the second accident loss rate that matches the engine type and accident data in the blockchain full database, and use the second accident loss rate as the accident loss rate; the accident data is Refers to the historical data of engine accidents; if there is no accident proof data and no accident occurrence data in the virtual asset loss data, the third party matching the engine type can be obtained in the blockchain full database through the evaluation execution function. accident loss rate, and use the third accident loss rate as the accident loss rate.

It should be understood that if the engine has not had an accident, the user who owns the engine can provide accident proof data (Non-Incident Statement) to prove that the engine has not had an accident. According to the accident proof data, it can be fully verified on the blockchain. Query the corresponding accident loss rate in the database (for example, the accident loss rate is 0); and if the engine has had an accident, the engine owner can provide relevant accident data (Incident History). According to the relevant accident data, The corresponding accident loss rate can be queried in the blockchain full database (for example, the corresponding accident loss rate can be queried according to the type of accident); and if the engine owner neither provides the engine’s accident certificate data nor the relevant For the accident data, the corresponding accident loss rate when neither type of accident data exists can be queried in the full blockchain database according to the engine type of the engine.

Among them, it should be understood that the maintenance adjusted base value refers to the corresponding base value (Maintenance Adjusted Base Value, MABV) when the engine is in an unused state after performance restoration repairs. The specific method for generating the maintenance adjustment benchmark value for the engine based on the smart contract, voyage data and virtual asset loss data can be to call the evaluation execution function in the smart contract, and obtain the engine maintenance in the voyage data through the evaluation execution function Navigation duration and maintenance voyage cycle; among which, maintenance voyage duration refers to the duration of sailing using the engine after performance restoration and maintenance of the engine; maintenance voyage cycle refers to the period of sailing with the engine after performance restoration and maintenance of the engine; by The evaluation execution function obtains the thrust reduction power (Derate percentage) of the engine from the virtual asset loss data. Based on the thrust reduction power, maintenance voyage duration, and maintenance voyage cycle, the performance maintenance unit cost rate and average maintenance time of the engine can be determined; then , the travel area corresponding to the maintenance voyage cycle can be obtained, and the regional loss rate corresponding to the travel area can be obtained in the blockchain full database through the evaluation execution function; the corresponding navigation loss rate when the engine is not in the first voyage state can be obtained in the full database , based on the average maintenance time, regional damage rate and voyage damage rate, the half-life status value for the engine can be determined; based on the performance maintenance unit cost rate, half-life status value and maintenance voyage duration, the maintenance adjustment benchmark for the engine can be generated value.

Among them, for the specific method of obtaining the thrust reduction power of the engine from the virtual asset loss data by evaluating the execution function, and determining the performance maintenance unit cost rate and average maintenance time of the engine based on the thrust reduction power, maintenance voyage duration and maintenance voyage cycle It can be that the maintenance ratio between the maintenance voyage duration and the maintenance voyage cycle can be determined; the data matrix corresponding to the engine is obtained in the blockchain full database by evaluating the execution function; the data matrix includes the first mapping relationship and the second mapping relationship ; The first mapping relationship is the mapping relationship between the configuration data group and the configuration performance maintenance unit cost rate; the second mapping relationship is the mapping relationship between the configuration data group and the configuration average maintenance time; the configuration data group refers to the configuration thrust reduction power and the data group composed of the configuration ratio, which refers to the ratio of the configuration maintenance voyage duration and the configuration maintenance voyage cycle; subsequently, the maintenance data group composed of the thrust reduction power and the maintenance ratio can be matched with the data matrix, Obtain the configuration data group that matches the maintenance data group in the data matrix as the target configuration data group; the configuration performance maintenance unit cost rate that has the first mapping relationship with the target configuration data group can be used as the performance maintenance unit cost rate of the engine , using the configuration average maintenance time that has the second mapping relationship with the target configuration data group as the average maintenance time of the engine.

Among them, the specific method for generating the maintenance adjustment baseline value for the engine based on the engine performance maintenance unit cost rate (Engine Performance Restoration rate, EPR rate), half life status value (Half Life) and maintenance voyage duration can be as follows: the half life can be determined The difference between the status value and the maintenance voyage time is multiplied by the performance maintenance unit cost rate and the difference to obtain the engine's performance recovery maintenance adjustment value (EPR Adjustment); obtain the engine's life component and execute it through evaluation The function obtains the maximum voyage duration corresponding to the life component, the historical voyage cycle corresponding to the life component, the component number of the life component, and the engine type of the engine from the voyage data; the function is obtained in the full blockchain database by evaluating the execution function. The virtual asset value of the Life Limited Parts component that matches the engine type and component number; generate the Life Limited Parts Adjustment (LLP Adjustment) for the Life Limited Parts Adjustment based on the maximum voyage duration, historical voyage cycle and the virtual asset value of the Life component. ); the performance recovery maintenance adjustment value and the life component adjustment value can be added together to obtain the target maintenance adjustment value of the engine; the engine type of the engine can be obtained from the navigation data through the evaluation execution function, and the engine type can be obtained in the blockchain full database Obtain the half-life virtual asset value that matches the engine type, and add the half-life virtual asset value (Half Life Market Value) and the target maintenance adjustment values (Maintenance Adjustments) to obtain the engine's maintenance adjustment base value.

It should be understood that the maintenance voyage time of the engine may refer to the total voyage time of the engine since the performance restoration maintenance was performed (Time Since Last Shop Visit, TSLSV); the maintenance voyage cycle (Cycle Since Last ShopVisit, CSLSV) may refer to the total voyage duration of the engine since the performance restoration maintenance was performed. Finally, the total period of sailing using the engine. By evaluating the execution function, the engine's thrust reduction power (Derate percentage) can be obtained from the virtual asset loss data, and the engine's maintenance voyage length (TSLSV) and maintenance voyage cycle (CSLSV) can be obtained from the voyage data; it can be determined The ratio between the maintenance voyage duration and the maintenance voyage cycle can be queried in the full blockchain database through the evaluation execution function, and the performance maintenance unit cost rate matching the thrust reduction power and the ratio can be queried. The EPR rate can refer to The billing rate for engine maintenance per unit time (for example, the billing rate for engine maintenance within one hour); and by evaluating the execution function, the thrust reduction power and the ratio can be queried in the blockchain full database. Matching Mean Time Between Repair (MTBR). It should be understood that when the engine is installed on the aircraft, the aircraft's takeoff to landing process can be regarded as a flight cycle (Cycle). The above-mentioned travel area can refer to these maintenance The navigation area passed during the navigation cycle. By evaluating the execution function, the regional discount rate (Operating Region Discount) corresponding to the traveled area can be obtained in the blockchain full database. For example, compared with area B, the operating region discount rate of area Y is If the flight environment is poor and can affect the engine performance more, the regional damage rate in the Y area will be greater than in the B area. The above-mentioned voyage damage rate can be understood as the non-maiden flight discount rate (Mature Run Discount). The average maintenance time, the regional damage rate and the navigation damage rate can be multiplied, and the result obtained by the multiplication process is divided by 2 to obtain the half life status value (Half Life). The half life value (Half Life) refers to the corresponding value when the engine is in a state that has not been repaired according to the actual maintenance status.

It should be understood that the life limited parts (LLP) of the engine may refer to the components of the engine that have a clear service life (duration) limit (Life Limit). Among them, the specific method of generating the LLP Adjustment value for the LLP component can be as shown in formula (1):

Among them, LLP Limit can be used to characterize the maximum usage time (use duration limit) or maximum navigation segment of each life component of the engine; LLP CSN can be used to characterize the historical voyage cycle of each life component of the engine; LLPPrice can be used to characterize The life component virtual asset value of each life component of the engine.

Optionally, it can be understood that, in addition to the above-mentioned accident loss rate and maintenance adjustment base value, the virtual asset evaluation reference value of the engine may also include a quick maintenance value and a condition loss rate (On Watch Limits Discount). The quick maintenance The value is the Quick Engine Change Value of the engine; the state loss rate is related to the maximum allowable time between engine maintenance observations (On Watch Limits). It should be understood that the engine has a Whether the status requires maintenance time range, the time range can be an artificially specified range, for example, the time range is two months, that is, two months is the On Watch Limits. That is to say, the engine needs to be observed every two months to detect whether the engine needs maintenance. It should be understood that the On Watch Limits Discount is related to the On Watch Limits. For example, it can be observed once every two months, so that the On Watch Limits Discount corresponding to the engine can be determined, and the On Watch Limits Discount can be written into the block. In the blockchain full database, that is to say, On Watch Limits Discount can be updated based on On Watch Limits (it should be understood that if the state loss rate determined after two observations is the same, the On WatchLimits in the blockchain full database does not need to be updated. Discount is updated, that is to say, when querying On Watch Limits Discount through the blockchain's full database, the same value or different values may be queried at two different query times).

It should be understood that the quick engine repair tool (QuickEngine Change Part) of the engine and the tool number (Quick Engine Change PartNumber) of the quick engine repair tool can be obtained in the virtual asset associated data; according to the engine type of the engine and the tool The number can be queried in the blockchain full database to find the corresponding rapid maintenance value; and according to the engine type, the corresponding state loss rate can be queried in the blockchain full database.

Optionally, it can be understood that the virtual asset evaluation reference value may also include the voyage added value (FirstRun Credit) and the remaining maintenance time (Estimated Green Time), where the voyage added value may refer to the value corresponding to when the engine is in the first voyage state. The added value is that the remaining time for maintenance refers to the remaining time until the next engine maintenance. The added value of the voyage and the remaining time of the maintenance can be determined based on the data associated with the virtual asset. For example, the historical sailing time (Time Since New, TSN) and maintenance sailing time (Time Since Last Shop Visit, TSLSV) of the engine can be obtained from the virtual asset associated data. The TSN can refer to the total sailing time of the engine since leaving the factory. The engine's maintenance sailing time refers to the total sailing time since the engine's performance restoration repairs were performed. It should be understood that the TSN will be greater than or equal to the TSLSV, and when the TSN is equal to the TSLSV, it can be said that the engine is on its first voyage, and the first voyage added value (that is, the added value of the voyage) can be assigned to the engine. That is, if the history The voyage duration is equal to the maintenance voyage duration, and the additional voyage value that matches the engine type can be obtained from the full blockchain database.

Optionally, it can be understood that the way to obtain the added value of navigation can also be determined by the engine's historical voyage cycle (Cycle Since New, CSN) and the engine's maintenance voyage cycle (CSLSV). The engine's historical voyage cycle It refers to the total sailing cycle of the engine since leaving the factory. The maintenance sailing cycle of the engine refers to the total sailing cycle of the engine after performance restoration and maintenance. After obtaining the historical sailing cycle and maintenance sailing cycle of the engine, if the historical sailing cycle of the engine is If the voyage cycle is equal to the maintenance voyage cycle of the engine, the additional voyage value matching the engine type can be obtained in the full blockchain database.

Among them, the remaining maintenance time can be calculated based on the engine type of the engine, the engine's maintenance voyage length (TSLSV), the maintenance voyage period (CSLSV) and the historical voyage period (CSN) of each life component (LLP), in the full blockchain database. It can be obtained by query; it can also be determined based on the engine maintenance voyage length (TSLSV) and the next engine maintenance time. Among them, the next maintenance time of the engine can be queried in the blockchain full database through the engine type and engine serial number (ESN). For example, the last maintenance time of the engine is 9:00 am on December 19, 2020. Through query, the next maintenance time should be 9 hours after the last maintenance time of 9:00 am on December 19, 2020 (where, The 9 hours here refer to the maximum flight hours after the aircraft is repaired at 9:00. That is to say, after the engine is repaired at 9:00, the next maintenance must be carried out after 9 hours of flight); and if in 2020 After the maintenance at 9:00 am on December 19, the engine has sailed for 6 hours. The 6 hours is the maintenance sailing time (TSLSV). Then the maximum sailing hour of 9 can be subtracted from the engine maintenance sailing time of 6 to get The result 3 can be the remaining maintenance time.

Optionally, it can be understood that the virtual asset evaluation reference value may also include a virtual asset depreciation rate (Missing Back to Birth Certificates Discount). It should be understood that each engine should have Back to Birth Certificates after leaving the factory. The Back to Birth Certificates may include maintenance certificate data and flight clearance certificate data (the clearance certificate data may also be called fitness for flight certificate data). Flight certificate data), if neither the maintenance certificate data nor the flight accuracy certificate data are lost, it can be queried from the blockchain full database to prove that there is a corresponding virtual asset loss rate (for example, the virtual asset loss rate is 0); if If either or both of the maintenance certificate data and the flight accuracy certificate are lost, the virtual asset discount rate (Missing Back to BirthCertificates Discount) corresponding to the loss of the certificate can be queried from the full blockchain database.

Optionally, it can be understood that the virtual asset evaluation reference value may also include the contract virtual asset value (with lease value). As for the method of determining the value of the contract’s virtual assets, the following four options can be included:

Option (1): The maintenance adjusted base value (MABV) of the engine, the net rental virtual asset flow value, the net repair preparation virtual asset inflow value, and the maintenance preparation net virtual asset outflow value can be obtained through the evaluation execution function; subsequently, the maintenance adjustment base value (MABV) can be obtained ( MABV), the net flow value of rental virtual assets, and the net inflow value of maintenance preparation virtual assets are added together, and the result obtained by the addition operation is subtracted from the net outflow value of maintenance preparation virtual assets. The result obtained by the subtraction operation is The result can be used as the contract virtual asset value. Among them, the net value of the lease virtual asset flow can refer to the net present value of a series of rental cash flows of the engine, the net maintenance reserve virtual asset inflow can refer to the net present value of a series of maintenance reserve cash flow inflows of the engine, and the net outflow of the maintenance reserve virtual asset Can refer to the net present value of a series of engine maintenance reserve cash outflows.

For the specific implementation method of determining the maintenance adjustment baseline value, please refer to the above description, which will not be described again here. The specific method for determining the net value of leased virtual asset flows can be shown in formula (2):

Among them, d _i in formula (2) can be used to characterize the payment time of the i-th rent, which can be the earliest lease start time (Lease Start) in the temporary use contract of the engine, and d ₁ can be used to represent the 0-th rent payment time. ; DR can be used to characterize the lease discount rate (Discount Rate) of the engine, and _Pi can be used to characterize the i-th lease payment amount.

Among them, the specific implementation method for determining the net inflow of virtual assets for maintenance preparation can also be as shown in the above formula (2). Among them, when determining the net inflow of maintenance reserve virtual assets through formula (2), d _i in the above formula (2) can be used to represent the inflow time of the i-th maintenance reserve cash flow, and d ₁ can be used to represent the 0th maintenance reserve The inflow time of cash flow; DR can be used to characterize the lease discount rate (Discount Rate) of the engine, and _Pi can be used to characterize the inflow amount of the i-th maintenance reserve cash flow.

Among them, the specific implementation method for determining the net outflow value of maintenance preparation virtual assets can also be as shown in the above formula (2). Among them, when determining the net outflow value of maintenance reserve virtual assets through formula (2), d _i in the above formula (2) can be used to represent the outflow time of the i-th maintenance reserve cash flow, and d ₁ can be used to represent the 0th maintenance reserve cash flow. The outflow time of cash flow; DR can be used to characterize the lease discount rate (Discount Rate) of the engine, and _Pi can be used to characterize the outflow amount of the i-th maintenance reserve cash flow.

Option (2): The maintenance adjustment base value (MABV), the net lease virtual asset flow value, and the compensation virtual asset net value of the engine can be obtained through the evaluation execution function, and the maintenance adjustment base value (MABV), the lease virtual asset flow net value, and the compensation virtual asset will be The net value is added up to obtain the contract virtual asset value.

Among them, for the specific implementation method of determining the maintenance adjustment baseline value and the net flow value of the leased virtual asset, please refer to the above description, and will not be repeated here.

Among them, the specific implementation method for determining the net value of the compensation virtual assets can also be as shown in the above formula (2). Among them, when determining the net value of the compensation virtual asset through formula (2), d _i in the above formula (2) can be used to characterize the acquisition time of the i-th compensation virtual asset, and d ₁ can be used to characterize the acquisition time of the 0th compensation virtual asset. ; DR can be used to characterize the lease discount rate (Discount Rate) of the engine, and _Pi can be used to characterize the i-th compensation virtual asset (compensation amount).

Option (3): The engine's net rental virtual asset flow value, compensation virtual asset net value, and split component virtual asset net value can be obtained by evaluating the execution function. The value of the contracted virtual asset can be obtained by adding the net flow value of the leased virtual asset, the net value of the compensation virtual asset and the net value of the split component virtual asset. Among them, the net asset value of the split component virtual assets refers to the net present value of a series of planned part-out values. The series of planned part-out values refers to the part-out value of the engine after the engine is split within the planned time range. The value corresponding to the component.

Among them, for the specific implementation method of determining the net flow value of leased virtual assets and the net value of compensated virtual assets, please refer to the above description. The specific method for determining the net value of the virtual assets of the split components can be as shown in the above formula (2). Among them, when the net value of the virtual assets of the split component is determined through formula (2), d _i in the above formula (2) can be used to represent the time of the i-th planned splitting value, and d ₁ can be used to represent the 0th planned splitting value. time; DR can be used to represent the lease discount rate (Discount Rate) of the engine, and _Pi can be used to represent the i-th planned divestment amount.

Option (4): The engine's net rental virtual asset flow value, maintenance preparation net virtual asset inflow value, maintenance preparation net virtual asset outflow value, and split component virtual asset net value can be obtained by evaluating the execution function. The net flow value of the leased virtual asset, the net inflow value of the maintenance preparation virtual asset and the net value of the split component virtual asset are added together, and the result obtained by the addition operation can be subtracted from the net outflow value of the maintenance preparation virtual asset. The result of this subtraction operation can be used as the contract virtual asset value. Among them, for the specific implementation method of determining the net flow value of the leased virtual assets of the engine, the net inflow value of the maintenance preparation virtual assets, the net outflow value of the maintenance preparation virtual assets, and the net value of the split component virtual assets, please refer to the above description, and will not be repeated here.

Further, the second device can recycle the engine based on the virtual asset evaluation reference value. The specific method may be to receive a recycle processing confirmation message sent by the second device; the recycling processing confirmation message is the second device based on the virtual asset value of the engine. generated; the virtual asset value is determined by the second device based on the virtual asset evaluation reference value; based on the virtual asset value, a first permission transfer request is generated, and the first permission transfer request and the virtual asset value are sent to the fourth device; wherein, the first permission transfer request and the virtual asset value are sent to the fourth device; A permission transfer request is used to request to transfer the ownership of the engine to the fourth device; receive the first permission transfer confirmation message returned by the fourth device based on the first permission transfer request and the value of the virtual asset, and obtain the remaining virtual assets according to the first permission transfer confirmation message. Asset data; the remaining virtual asset data refers to the asset data that the first device does not compensate the second device in the total compensation asset data; the total compensation asset data refers to the asset data that the first device needs to compensate the second device within the expected time period. asset data, and the value of the compensation total asset data is equal to the value of the engine virtual asset data; subsequently, 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 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 from the virtual asset data corresponding to the virtual asset value, and 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 transfer the legacy virtual asset data to the device account corresponding to the first device; where the legacy virtual asset data refers to the virtual asset data other than the remaining virtual asset data among the virtual asset data corresponding to the virtual asset value; receive the third The second device responds to a data reception confirmation message returned by the virtual asset data corresponding to the remaining virtual asset data, and transfers the ownership of the engine to the fourth device according to the data reception confirmation message.

It should be understood that the second device can resell the engine to the fourth device, and by reselling the resale virtual assets (virtual asset data corresponding to the virtual asset value) obtained from the fourth device, the remaining virtual asset data can be preferentially allocated to The second device, if there is any legacy, can distribute the legacy virtual asset data to the user with engine ownership.

Optionally, the second device can resell the engine to the fourth device, and by reselling the resale virtual assets (virtual asset data corresponding to the virtual asset value) obtained from the fourth device, the remaining virtual asset data can be distributed with priority To the second device, if there is still legacy, the platform can be further prioritized to allocate the virtual asset data to the processing platform used for recycling items; if there is still legacy, the legacy virtual asset data can be allocated to the device with engine ownership. user.

Further, if the fourth device has a splitting requirement for the engine after acquiring the ownership of the engine, it can send a splitting request to the blockchain node to split the engine. The specific method can be to receive the third A split request for the engine sent by the four devices; the split request is used to split the components of the engine to obtain the split components of the engine; obtain the split component virtual asset value corresponding to the split component, and based on the split component virtual asset The value generates a second permission transfer request, and sends the second permission transfer request to the fifth device; the second permission transfer request is used to request to transfer the ownership of the split component to the fifth device; and receives the fifth device based on the second permission transfer request. The returned second permission transfer confirmation message sends the 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 the split component virtualization in the device account corresponding to the fifth device. The split virtual asset data corresponding to the asset value is transferred to the fourth device; according to the asset reception confirmation message returned by the fourth device based on the split virtual asset data, the split component is transferred according to the asset reception confirmation message. Ownership transferred to Fifth Equipment.

It should be understood that the first device and the second device in this application can both be user terminals, and the first device can be any user terminal in the user terminal cluster in the embodiment corresponding to Figure 1. For example, the user terminal is User terminal 10a; the second device may be any user terminal in the user terminal cluster in the embodiment corresponding to Figure 1. For example, the user terminal is user terminal 10b.

It should be understood that this application can collectively refer to stable currencies with stability and circulation characteristics as virtual asset data. For example, general currencies with price fluctuation ranges such as US dollars can be referred to as virtual asset data; this application can also refer to game virtual currencies as virtual asset data. Virtual asset data, for example, virtual currencies such as game gold coins, game experience points, game points, and game diamonds in the game scene can be called virtual asset data.

It should be understood that in the game scene, the player can initiate a property transfer (item mortgage authority transfer) request for the engine, a game equipment or game prop, in order to obtain virtual assets (game gold coins, game experience points, game points, game diamonds, etc.) The corresponding virtual asset data (the virtual asset data corresponding to the applied virtual asset value) is obtained from the provider of the virtual currency); subsequently, the blockchain node can obtain the virtual asset associated data of the engine, and the virtual asset associated data can refer to the engine in Navigation data for virtual sailing in the game, virtual asset loss data in the game (such as the loss rate after being attacked), and temporary use contracts for leasing in the game (such as lease-related data); based on the virtual Asset-related data, the virtual asset provider can determine the virtual asset value of the engine (for example, 100 game coins); after the value of the virtual asset is greater than or equal to the applied virtual asset value applied by the player, the virtual asset provider can determine the virtual asset value based on the application. The asset value generates a property rights transfer confirmation message and sends the property rights transfer confirmation message to the blockchain node; then, the blockchain node can send the player's virtual account to the virtual asset provider, and the virtual asset provider The virtual asset data corresponding to the applied virtual asset value can be obtained from the virtual account provided by the virtual asset, and the virtual asset data can be transferred to the player's virtual account. For example, if the value of the virtual asset applied for is 50 game coins, and the value of the virtual asset of the engine is 100 game coins, the virtual asset provider can determine that the value of the virtual asset (100 game coins) is greater than the value of the applied virtual asset (50 game coins). The virtual asset provider can generate a property rights transfer confirmation message based on the applied virtual asset value (50 game coins), and send the property rights transfer message to the blockchain node. Subsequently, the blockchain node can send the player's game virtual account to the virtual asset provider, and the virtual asset provider can obtain the 50 game coins from the virtual asset provider's virtual account and transfer the 50 game coins to the player's game virtual account. The player needs to repay the 50 game coins to the virtual asset provider in stages.

The blockchain node can query the corresponding virtual asset data from the player's virtual account within the agreed compensation time range of each stage. For example, the staged virtual asset data is 20 game coins, but there are only 10 games in the player's virtual account. currency, the blockchain node can obtain the player's virtual asset auxiliary information. The virtual asset auxiliary information can be the player's historical input data in the game (for example, game coins obtained by killing monsters, coins obtained by selling equipment Game currency obtained, etc.), historical output data (game currency spent to buy equipment, game characters, etc.) and virtual asset auxiliary data (for example, virtual real estate, game equipment, games owned by players in the game props, etc.); based on these virtual asset auxiliary information, it can be determined whether the player has the ability to compensate; and if the player does not have the ability to compensate, the virtual asset associated data of the engine can be obtained, and a virtual asset evaluation can be generated based on the virtual asset associated data Reference value, the virtual asset evaluation reference value and the item use rights of the engine can be transferred to the provider, so that the provider can read the engine for recycling.

In the embodiment of this application, after the user with engine ownership transfers the property rights of the engine to the second device through the first device, and successfully obtains the compensation total asset data (the value corresponding to the engine virtual asset data) from the second device , for this compensation total asset data, the first device needs to regularly compensate (repay) the second device, that is, the first device needs to transfer the phased virtual asset data to the second device within the phased compensation time range. This application can automatically determine whether the first equipment has the ability to compensate through the blockchain. If the first equipment does not have the ability to compensate, an asset evaluation reference value can be generated based on the virtual asset loss data and navigation data of the engine. , so that the second device 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 understood that this application can automatically check whether the first device can compensate the second device for virtual assets on time through the blockchain without manual participation, which can improve the efficiency of the inspection, thereby improving the efficiency of the asset recovery business of items; at the same time , because the blockchain is tamper-proof and traceable, it can make the data and its inspection results authentic and reliable, making the asset recovery business of items more secure and accurate. In summary, this application can improve the efficiency and accuracy of the asset recovery business of items.

Further, please refer to Figure 4, which is a schematic structural diagram of an asset data processing device provided by an embodiment of the present application. The asset data processing device may be a computer program (including program code) running in a computer device, for example, the asset data processing device may be an application software; the asset data processing device may be used to execute the method shown in FIG. 3 . As shown in Figure 4, the blockchain-based data processing device 1 may include: a data query module 11, an information query module 12, a data acquisition module 13, a contract calling module 14, and a reference value generation module 15.

The data query module 11 is used to query the device account of the first device for virtual asset data that matches the phased virtual asset data within the phased agreed compensation time range; the phased virtual asset data is the engine virtual asset data corresponding to Compensate virtual assets in stages; the engine virtual asset data is the virtual asset data corresponding to the applied virtual asset value carried in the property rights transfer request for the engine sent by the first device to the second device; the property rights transfer request is used for Request to transfer the engine's item attachment permissions to the second device. The first device has the engine's item use permissions after the item attachment permissions are transferred; the first device refers to the device corresponding to the user who has ownership of the engine;

The information query module 12 is used to obtain the virtual asset auxiliary information of the first device if the virtual asset data queried in the device account of the first device is less than the phased virtual asset data within the phased agreed compensation time range; virtual Asset auxiliary information includes historical input data, historical output data and virtual asset auxiliary data corresponding to the user who owns the engine;

The data acquisition module 13 is used to obtain the virtual asset loss data and navigation data of the engine when it is detected that the first equipment does not have the compensation capability based on historical input data, historical output data and virtual asset auxiliary data;

Contract calling module 14, used to call smart contracts;

The reference value generation module 15 is used to generate a virtual asset evaluation reference value for the engine through smart contracts, virtual asset loss data and navigation data, and send the virtual asset evaluation reference value and the engine's item use permissions to the second device, so that The second device recycles the engine based on the virtual asset evaluation reference value and the engine's item use rights.

Among them, for the specific implementation of the data query module 11, the information query module 12, the data acquisition module 13, the contract calling module 14 and the reference value generation module 15, please refer to the description of steps S101 to S104 in the embodiment corresponding to Figure 3 above. No further details will be given here.

Referring to FIG. 4 , the asset data processing device 1 may also 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 used to input historical input data and historical output data into the prediction model, and extract the first data characteristics of the historical input data and the second data characteristics of the historical output data through the prediction model;

The prediction data determination module 17 is used to determine the prediction input data corresponding to the user with ownership of the engine through the prediction model and the first data feature; the prediction input data refers to the prediction data within the expected time range; the expected time range refers to the third The time range within which one device compensates the second device for the remaining virtual asset data; the remaining virtual asset data refers to the asset data in the total compensation asset data that the first device has not compensated for the second device; the total compensation asset data refers to the total compensation asset data. The asset data that one device needs to compensate to the second device within the expected time period, and the value of the total asset data of the compensation is equal to the value of the engine virtual asset data;

The prediction data determination module 17 is also used to determine the prediction output data corresponding to the user who owns the engine through the prediction model and the second data feature; the prediction output data refers to the prediction data within the expected time range;

The computing module 18 is used to add the prediction input data and the virtual asset auxiliary data to obtain the computing virtual asset data, and determine the difference between the computing virtual asset data and the prediction output data;

The capability determination module 19 is used to determine that the second device has the compensation capability if the difference is greater than or equal to the remaining virtual asset data;

The capability determination module 19 is also used to determine that the second device does not have the compensation capability if the difference is less than the remaining virtual asset data.

For the specific implementation of the feature extraction module 16, prediction data determination module 17, operation module 18 and capability determination module 19, please refer to the description of step S102 in the embodiment corresponding to Figure 3 above, and will not be described again here.

Referring to FIG. 4 , the asset data processing device 1 may also include: a prompt information generation module 20 , a request receiving module 21 , a request sending module 22 , a range update module 23 , a condition determination module 24 and a first step execution module 25 .

The prompt information generation module 20 is configured to generate compensation warning prompt information based on 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 To prompt the first device that the virtual asset data in the device account of the first device does not meet the conditions for compensating the staged virtual asset data;

The request receiving module 21 is used to receive the use rights transfer request for the engine returned by the first device based on the compensation warning prompt information; the use rights transfer request is used to request the temporary use rights of the engine to be transferred to the contracted device; the use rights transfer request includes: The agreed transfer time corresponding to the stage contract virtual assets and the stage contract virtual assets; the agreed transfer time refers to the time when the contract device transfers the stage contract virtual assets to the first device;

The request sending module 22 is 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 phased contract virtual asset and the agreed transfer time;

The scope update module 23 is configured to update the phased agreed compensation time range according to the usage rights transfer confirmation message, and within the updated phased agreed compensation time range, query and phased virtual assets in the device account of the first device The virtual asset data matches the data; the updated phased agreed compensation time range includes the time range corresponding to the agreed transfer time;

The condition determination module 24 is used to determine if the virtual asset data queried in the device account of the first device is greater than or equal to the phased virtual asset data within the updated phased agreed compensation time range. Within the agreed compensation time range of the stage, the virtual asset data queried in the device account of the first device meets the conditions for compensating the staged virtual asset data;

The first step execution module 25 is used to execute the combination of the historical input data and the phased virtual asset data if the virtual asset data queried in the device account of the first device is less than the phased virtual asset data within the updated phased agreed compensation time range. The historical output data is input into the prediction model, and the first data feature of the historical input data and the second data feature of the historical output data are extracted through the prediction model.

Among them, for the specific implementation of the prompt information generation module 20, the request receiving module 21, the request sending module 22, the range update module 23, the condition determination module 24 and the first step execution module 25, please refer to the steps in the embodiment corresponding to Figure 3 above. The description of S102 will not be described again here.

Referring to FIG. 4 , the asset data processing device 1 may also 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 .

The status detection module 26 is used to detect the quality status of the engine according to the use rights transfer request;

The disassembly module 27 is used to disassemble the engine to obtain the disassembled components of the engine if the quality status of the engine does not meet the conditions for transfer of use rights;

The request processing module 28 is used to obtain the virtual asset value of the disassembled component corresponding to the disassembled component, generate a component permission transfer request based on the virtual asset value of the disassembled component, and send the component permission transfer request to the third device; the component permission transfer request is used to Request the transfer of ownership of dismantled components to a third device;

The message receiving module 29 is used to obtain the remaining virtual asset data according to the component permission transfer confirmation message, and 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 can transfer the remaining virtual asset data to the third device. The virtual asset data corresponding to the value is transferred to the device account corresponding to the second device; the remaining virtual asset data refers to the asset data in the total compensation asset data that the first device has not compensated for the second device; the total compensation asset data refers to The asset data that the first equipment needs to compensate the second equipment within the expected time period, and the value of the total asset data of the compensation is equal to the value of the engine virtual asset data;

The second step execution module 30 is used to send the use rights transfer request to the contract device if the quality status of the engine meets the use rights transfer conditions, so that the contract device can transfer based on the use rights transfer request, phased contract virtual assets and agreed transfer Time to return to the step using the permission transfer confirmation message.

Among them, for the specific implementation of the status detection module 26, the disassembly module 27, the request processing module 28, the message receiving module 29 and the second step execution module 30, please refer to the description of step S102 in the embodiment corresponding to Figure 3 above. Here we will No further details will be given.

Referring to FIG. 4 , the asset data processing device 1 may also include: a processing message receiving module 31 , a request generating module 32 , a recycling asset obtaining module 33 , an account sending module 34 and a permission transfer module 35 .

The processing message receiving module 31 is used to receive the recycling processing confirmation message sent by the second device; the recycling processing confirmation message is generated by the second device based on the virtual asset value of the engine; the virtual asset value is generated by the second device based on the virtual asset evaluation reference value. Sure;

The request generation module 32 is used to generate a first permission transfer request based on the virtual asset value, and send the first permission transfer request and the virtual asset value to the third device; the first permission transfer request is used to request to transfer the ownership of the engine to the third device. Four equipment;

The recovered asset acquisition module 33 is used to receive the first permission transfer confirmation message returned by the fourth device based on the first permission transfer request and the virtual asset value, and obtain the remaining virtual asset data according to the first permission transfer confirmation message; the remaining virtual asset data refers to In the total compensation asset data, the first equipment does not compensate the second equipment. The total compensation asset data refers to the asset data that the first equipment needs to compensate the second equipment within the expected time period, and the value of the total compensation asset data is A value equal to the engine virtual asset data;

The account sending module 34 is used 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 can obtain the virtual asset data corresponding to the virtual asset value. , obtain the virtual asset data corresponding to the value of the remaining virtual asset data, transfer the virtual asset data corresponding to the value of the remaining virtual asset data to the device account corresponding to the second device, and transfer the legacy virtual asset data to the device account corresponding to the first device. In the equipment account; legacy virtual asset data refers to the virtual asset data corresponding to the virtual asset value, except for the remaining virtual asset data;

The authority 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 the ownership of the engine to the fourth device according to the data reception confirmation message.

Among them, for the specific implementation of the processing message receiving module 31, the request generating module 32, the recycling asset acquisition module 33, the account sending module 34 and the authority transfer module 35, please refer to the description of step S102 in the embodiment corresponding to the above-mentioned Figure 3. Here we will No further details will be given.

Referring to FIG. 4 , the asset data processing device 1 may also include: a split request acquisition module 36 , a request processing module 37 , a data sending module 38 and a component permission transfer module 39 .

The split request acquisition module 36 is used to receive a split request for the engine sent by the fourth device; the split request is used to split the components of the engine to obtain the split components of the engine;

The request processing module 37 is used to obtain the virtual asset value of the split component corresponding to the split component, generate a second permission transfer request based on the virtual asset value of the split component, and send the second permission transfer request to the fifth device; second permission transfer A request to request the transfer of ownership of a split component to a 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, and send the device account corresponding to the fourth device to the fifth device according to the second permission transfer confirmation message, so that the third device The fifth device obtains the split virtual asset data corresponding to the virtual asset value of the split component from the device account corresponding to the fifth device, and transfers the split virtual asset data to the fourth device;

The component authority transfer module 39 is configured to transfer the 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.

Among them, for the specific implementation of the split request acquisition module 36, the request processing module 37, the data sending module 38 and the component permission transfer module 39, please refer to the description of step S102 in the embodiment corresponding to Figure 3 above, and will not be described again here. .

Among them, the virtual asset evaluation reference value includes the accident loss rate and the maintenance adjustment base value;

Among them, the reference value generation module 15 is also specifically used to generate the accident loss rate for the engine based on the smart contract and virtual asset loss data;

The reference value generation module 15 is also specifically used to generate a maintenance adjustment benchmark value for the engine based on smart contracts, navigation data and virtual asset loss data.

Among them, the reference value generation module 15 is also specifically used to call the evaluation execution function in the smart contract, and traverse the virtual asset loss data through the evaluation execution function;

The reference value generation module 15 is also specifically used to obtain the engine type of the engine in the virtual asset loss data through the evaluation execution function if there is accident proof data in the virtual asset loss data, and obtain the engine type in the blockchain full database. The first accident loss rate that matches the type is used as the accident loss rate; the accident proof data refers to the proof data that the engine did not have an accident;

The reference value generation module 15 is also specifically used to obtain the accident occurrence data in the virtual asset loss data through the evaluation execution function if there is no accident proof data in the virtual asset loss data, and obtain the accident data in the blockchain full database and the engine The second accident loss rate matches the type and accident occurrence data, and the second accident loss rate is used as the accident loss rate; the accident occurrence data refers to the historical data of engine accidents;

The reference value generation module 15 is also specifically used to obtain a third party matching the engine type in the blockchain full database through the evaluation execution function if there is no accident proof data and no accident occurrence data in the virtual asset loss data. For the accident loss rate, the third accident loss rate is used as the accident loss rate.

Among them, the reference value generation module 15 is also specifically used to call the evaluation execution function in the smart contract. Through the evaluation execution function, the maintenance voyage time and maintenance voyage cycle of the engine are obtained in the voyage data; the maintenance voyage duration refers to the performance evaluation of the engine. The length of time the engine is used to sail after maintenance is restored; the maintenance sailing cycle refers to the period of sailing using the engine after the engine performance is restored and maintained;

The reference value generation module 15 is also specifically used to obtain the thrust reduction power of the engine from the virtual asset impairment data through the evaluation execution function, and determine the performance maintenance unit cost rate of the engine based on the thrust reduction power, maintenance voyage duration and maintenance voyage cycle. and mean maintenance time;

The reference value generation module 15 is also specifically used to obtain the travel area corresponding to the maintenance voyage cycle, and obtain the regional loss rate corresponding to the travel area in the blockchain full database through the evaluation execution function;

The reference value generation module 15 is also specifically used to obtain the corresponding voyage damage rate when the engine is in a non-first voyage state from the full database, and determine the half-life of the engine based on the average maintenance time, regional damage rate and voyage damage rate. status value;

The reference value generation module 15 is also specifically configured to generate a maintenance adjustment baseline value for the engine based on the performance maintenance unit cost rate, half-life status value and maintenance voyage duration.

The reference value generation module 15 is also specifically used to determine the maintenance ratio between the maintenance voyage duration and the maintenance voyage cycle;

The reference value generation module 15 is also specifically used to obtain the data matrix corresponding to the engine in the blockchain full database through the evaluation execution function; the data matrix includes a first mapping relationship and a second mapping relationship; the first mapping relationship is the configuration data group and the mapping relationship between the configuration performance maintenance unit cost rate; the second mapping relationship is the mapping relationship between the configuration data group and the configuration average maintenance time; the configuration data group refers to the data group composed of the configuration thrust reduction power and the configuration ratio, Configuration ratio refers to the ratio of configuration maintenance voyage duration to configuration maintenance voyage cycle;

The reference value generation module 15 is also specifically used to match the maintenance data group composed of thrust reduction power and maintenance ratio with the data matrix, and obtain the configuration data group matching the maintenance data group in the data matrix as the target configuration data group. ;

The reference value generation module 15 is also specifically configured to use the configuration performance maintenance unit cost rate that has a first mapping relationship with the target configuration data group as the performance maintenance unit cost rate of the engine, and use the configuration performance maintenance unit cost rate that has a second mapping relationship with the target configuration data group. Configure the average maintenance time as the average maintenance time for the engine.

Among them, the reference value generation module 15 is also specifically used to determine the difference between the half-life status value and the maintenance voyage duration, and multiply the performance maintenance unit cost rate and the difference to obtain the performance recovery maintenance adjustment value of the engine. ;

The reference value generation module 15 is also specifically used to obtain the life component of the engine, and obtain the maximum voyage duration corresponding to the life component, the historical voyage cycle corresponding to the life component, and the component number of the life component in the voyage data through the evaluation execution function. and engine type;

The reference value generation module 15 is also specifically used to obtain the virtual asset value of the life component that matches the engine type and component number in the blockchain full database through the evaluation execution function;

The reference value generation module 15 is also specifically used to generate the life component adjustment value for the life component based on the maximum voyage duration, historical voyage cycle and the virtual asset value of the life component;

The reference value generation module 15 is also specifically used to add the performance recovery maintenance adjustment value and the life component adjustment value to obtain the target maintenance adjustment value of the engine;

The reference value generation module 15 is also specifically used to obtain the engine type of the engine in the navigation data through the evaluation execution function, obtain the Banshou virtual asset value matching the engine type in the blockchain full database, and convert the Banshou virtual asset value Add the target maintenance adjustment value to obtain the engine's maintenance adjustment baseline value.

In the embodiment of this application, after the user with engine ownership transfers the property rights of the engine to the second device through the first device and successfully obtains the engine virtual asset data from the second device, the first device needs to compensate the engine in stages. The total asset data (the value consistent with the engine virtual asset data) is compensated (repaid), that is, the first device needs to transfer the phased virtual asset data to the second device within the phased compensation time range. This application can use the blockchain to automatically determine whether the first device has the ability to compensate for the staged virtual asset data. If the first device does not have the ability to compensate, it can be based on the engine's virtual asset loss data and navigation. The data generates an asset evaluation reference value, so that the second device 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 understood that this application can use the blockchain to check whether the first device can compensate the second device for virtual assets on time without manual participation, which can improve the efficiency of the inspection, thereby improving the efficiency of the asset recovery business of items; at the same time, Since the blockchain is tamper-proof and traceable, it can make the data authentic and reliable, making the inspection results reliable, thus making the engine asset recovery business more secure and accurate. In summary, this application can improve the efficiency and accuracy of the asset recovery business of items.

Further, please refer to FIG. 5 , which is a schematic structural diagram of a computer device provided by an embodiment of the present application. As shown in Figure 5, the apparatus 1 in the embodiment corresponding to Figure 4 can be applied to the above computer device 1000. The above computer device 1000 can include: a processor 1001, a network interface 1004 and a memory 1005. In addition, the above computer device 1000 also Includes: user interface 1003, and at least one communication bus 1002. Among them, the communication bus 1002 is used to realize connection communication between these components. Among them, the user interface 1003 may include a display screen (Display) and a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The memory 1005 may optionally be at least one storage device located remotely from the aforementioned processor 1001. As shown in Figure 5, memory 1005, which is a computer-readable storage medium, may include an operating system, a network communication module, a user interface module, and a device control application program.

In the computer device 1000 shown in Figure 5, the network interface 1004 can provide network communication functions; the user interface 1003 is mainly used to provide an input interface for the user; and the processor 1001 can be used to call the device control application stored in the memory 1005 program to achieve:

Within the phased compensation time range, query the device account of the first device for virtual asset data that matches the phased virtual asset data; the phased virtual asset data is the phased compensation virtual asset corresponding to the engine virtual asset data; the engine The virtual asset data is the virtual asset data corresponding to the applied virtual asset value carried in the property rights transfer request for the engine sent by the first device to the second device; the property rights transfer request is used to request that the engine's item attachment permissions be Transferred to the second device, the first device has the item use rights of the engine after the item accessory rights are transferred; the first device refers to the device corresponding to the user who has ownership of the engine;

If within the phased compensation time range, the virtual asset data queried in the equipment account of the first device is less than the phased virtual asset data, the virtual asset auxiliary information of the first device is obtained; the virtual asset auxiliary information includes the engine's auxiliary information. Historical input data, historical output data and virtual asset auxiliary data corresponding to the ownership user;

When it is detected that the first equipment does not have the compensation capability based on historical input data, historical output data and virtual asset auxiliary data, obtain the virtual asset loss data and navigation data of the engine;

Call the smart contract, generate a virtual asset evaluation reference value for the engine through the smart contract, virtual asset loss data and navigation data, and send the virtual asset evaluation reference value and the engine's item usage rights to the second device, so that the second device can be based on The engine is recycled based on the virtual asset evaluation reference value and the engine's item usage rights.

It should be understood that the computer device 1000 described in the embodiment of the present application can execute the asset data processing method described in the embodiment corresponding to FIG. 3, and can also execute the asset data processing device in the embodiment corresponding to FIG. 4. The description of 1 will not be repeated here. In addition, the description of the beneficial effects of using the same method will not be described again.

In addition, it should be pointed out here that the embodiment of the present application also provides a computer-readable storage medium, and the computer-readable storage medium stores the computer program executed by the aforementioned data processing computer device 1000, and The above-mentioned computer program includes program instructions. When the above-mentioned processor executes the above-mentioned program instructions, it can execute the above-mentioned description of the above-mentioned data processing method in the embodiment corresponding to Figure 3. Therefore, the details will not be described here. In addition, the description of the beneficial effects of using the same method will not be described again. For technical details not disclosed in the computer-readable storage medium embodiments involved in this application, please refer to the description of the method embodiments in this application.

The above-mentioned computer-readable storage medium may be the asset data processing device provided in any of the foregoing embodiments or the internal storage unit of the above-mentioned computer equipment, such as the hard disk or memory of the computer equipment. The computer-readable storage medium can 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 equipped on the computer device, Flash card, etc. Further, the computer-readable storage medium may also include both an internal storage unit of the computer device and an external storage 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 can also be used to temporarily store data that has been output or is to be output.

In one aspect of the present application, a computer program product or computer program is provided, which computer program product or computer program 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 executes the method provided in one aspect of the embodiment of the present application.

The terms “first”, “second”, etc. in the description, claims, and drawings of the embodiments of this application are used to distinguish different objects, rather than describing a specific sequence. Furthermore, the term "includes" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product or equipment that includes a series of steps or units is not limited to the listed steps or modules, but optionally also includes unlisted steps or modules, or optionally also includes Other step units inherent to such processes, methods, apparatus, products or equipment.

Those of ordinary skill in the art can appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software, or a combination of both. In order to clearly illustrate the relationship between hardware and software Interchangeability, in the above description, the composition and steps of each example have been generally described according to functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each specific application, but such implementations should not be considered beyond the scope of this application.

The methods and related devices provided by the embodiments of the present application are described with reference to the method flowcharts and/or structural schematic diagrams provided by the embodiments of the present application. Specifically, each process and/or the method flowcharts and/or structural schematic diagrams can be implemented by computer program instructions. or blocks, and combinations of processes and/or blocks in flowcharts 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 device to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing device produce a use A device for realizing the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the structural diagram. These computer program instructions may also be stored in a computer-readable memory that causes a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction means, the instructions The device implements the functions specified in one process or multiple processes in the flowchart and/or in one block or multiple blocks in the structural diagram. These computer program instructions may also be loaded onto a computer or other programmable data processing device, causing a series of operating steps to be performed on the computer or other programmable device to produce computer-implemented processing, thereby executing on the computer or other programmable device. Instructions provide steps for implementing the functions specified in a process or processes of a flowchart and/or a block or blocks of a structural representation.

What is disclosed above is only the preferred embodiment of the present application. Of course, it cannot be used to limit the scope of rights of the present application. Therefore, equivalent changes made according to the claims of the present application still fall within the scope of the present application.

Claims (14)

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;

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 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 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.

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.