CN112613788B - Data processing method, device, equipment and readable storage medium - Google Patents

Data processing method, device, equipment and readable storage medium Download PDF

Info

Publication number
CN112613788B
CN112613788B CN202011607664.6A CN202011607664A CN112613788B CN 112613788 B CN112613788 B CN 112613788B CN 202011607664 A CN202011607664 A CN 202011607664A CN 112613788 B CN112613788 B CN 112613788B
Authority
CN
China
Prior art keywords
virtual asset
data
aircraft
value
equipment
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202011607664.6A
Other languages
Chinese (zh)
Other versions
CN112613788A (en
Inventor
潘浩文
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Icalc Holdings Ltd
Original Assignee
Icalc Holdings Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Icalc Holdings Ltd filed Critical Icalc Holdings Ltd
Priority to CN202011607664.6A priority Critical patent/CN112613788B/en
Publication of CN112613788A publication Critical patent/CN112613788A/en
Application granted granted Critical
Publication of CN112613788B publication Critical patent/CN112613788B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2471Distributed queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/30Administration of product recycling or disposal
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02WCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W90/00Enabling technologies or technologies with a potential or indirect contribution to greenhouse gas [GHG] emissions mitigation

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Databases & Information Systems (AREA)
  • General Business, Economics & Management (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Game Theory and Decision Science (AREA)
  • Sustainable Development (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • Computing Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

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 value corresponding to the aircraft in a device account of the first device; if the queried virtual asset data does not have the compensation condition, calling an intelligent contract, and generating virtual asset damage rates respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine through the virtual asset associated data of the intelligent contract and the aircraft; generating maintenance adjustment reference values respectively corresponding to a fuselage, a landing gear, energy supply equipment and an engine through the intelligent contract and virtual asset related data of the aircraft; and generating a virtual asset evaluation reference value of the aircraft according to the virtual asset damage rate and the maintenance adjustment reference value, and sending the virtual asset evaluation reference value and the article use permission of the aircraft to the second equipment. By adopting the application, the efficiency and the safety of the asset recycling business of the article can be improved.

Description

Data processing method, device, equipment and readable storage medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data processing method, apparatus, device, and readable storage medium.
Background
The transfer of the object right refers to a first user with the ownership of the object, and the mortgage right of the object is transferred to a second user, so that the first user can obtain corresponding virtual asset data of the object from the second user based on the transfer of the object right of the object. After the first user successfully acquires the item virtual asset data from the second user, the first user needs to contract with the second user for an amortization time and an amortization virtual asset for the item virtual asset data.
When the first user does not amortize the virtual asset over time, the first user may not have the ability to amortize the asset, at which time the asset is required to be recycled in time so that the second user does not risk the loss of the virtual asset. At present, for checking whether the first user pays back the virtual asset on time, the first user mainly adopts manpower to check the relevant repayment data, so that a large amount of manpower and material resources are consumed, and the efficiency is low; meanwhile, in the manual checking mode, a case that an inspector and a first user are in malicious trip may exist, so that the checking result does not have authenticity, and therefore the asset recycling business of the article does not have safety.
Disclosure of Invention
The embodiment of the application provides a data processing method, a device, equipment and a readable storage medium, which can improve the efficiency and the safety of an asset recycling service of an article.
In one aspect, an embodiment of the present application provides a data processing method, including:
in the staged contracted compensation time range, inquiring virtual asset data matched with the staged virtual asset value corresponding to the airplane in the equipment account of the first equipment; the first device is provided with article use rights of the aircraft after article attachment rights are transferred;
if the virtual asset data inquired in the equipment account of the first equipment does not have the condition of compensating the staged virtual asset value in the staged contracted compensation time range, acquiring the virtual asset related data of the airplane; the virtual asset association data includes aircraft voyage data, fuselage history maintenance data for the fuselage, landing gear history maintenance data for the landing gear, equipment history maintenance data for the energy providing equipment, and engine history maintenance data for the engine;
calling an intelligent contract, and generating virtual asset damage rates corresponding to the fuselage, the landing gear, the energy supply equipment and the engine respectively through the intelligent contract, the aircraft navigation data of the aircraft, the fuselage history maintenance data of the fuselage, the landing gear history maintenance data of the landing gear, the equipment history maintenance data of the energy supply equipment and the engine history maintenance data of the engine;
Generating maintenance adjustment reference values respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine through intelligent contracts, aircraft navigation data of the aircraft, airframe historical maintenance data of the airframe, landing gear historical maintenance data of the landing gear, equipment historical maintenance data of the energy supply equipment and engine historical maintenance data of the engine;
according to the virtual asset damage rates, the maintenance adjustment reference values respectively corresponding to the airframe, the landing gear, the energy providing equipment and the engine, the virtual asset evaluation reference values for the aircraft are generated, and the virtual asset evaluation reference values and the article use permission of the aircraft are sent to the second equipment, so that the second equipment carries out asset recycling processing on the aircraft based on the virtual asset evaluation reference values and the article use permission of the aircraft.
In one aspect, an embodiment of the present application provides a data processing apparatus, including:
the data query module is used for querying virtual asset data matched with the staged virtual asset value corresponding to the aircraft in the equipment account of the first equipment in the staged contracted compensation time range; the first device is provided with article use rights of the aircraft after article attachment rights are transferred;
The data acquisition module is used for acquiring virtual asset related data of the aircraft if the virtual asset data inquired in the equipment account of the first equipment does not have the condition of compensating the staged virtual asset value in the staged contracted compensation time range; the virtual asset association data includes aircraft voyage data, fuselage history maintenance data for the fuselage, landing gear history maintenance data for the landing gear, equipment history maintenance data for the energy providing equipment, and engine history maintenance data for the engine;
the contract calling module is used for calling intelligent contracts;
the data generation module is used for generating virtual asset damage rates corresponding to the airframe, the landing gear, the energy supply equipment and the engine respectively through intelligent contracts, aircraft navigation data of the aircraft, airframe historical maintenance data of the airframe, landing gear historical maintenance data of the landing gear, equipment historical maintenance data of the energy supply equipment and engine historical maintenance data of the engine;
the data generation module is also used for generating maintenance adjustment reference values respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine through intelligent contracts, aircraft navigation data of the aircraft, airframe historical maintenance data of the airframe, landing gear historical maintenance data of the landing gear, equipment historical maintenance data of the energy supply equipment and engine historical maintenance data of the engine;
The reference value sending module is used for generating a virtual asset evaluation reference value for the aircraft according to the virtual asset damage rate, the maintenance adjustment reference value and the maintenance adjustment reference value, wherein the virtual asset damage rate, the maintenance adjustment reference value and the maintenance adjustment reference value correspond to the aircraft respectively, and sending the virtual asset evaluation reference value and the article use permission of the aircraft to the second equipment so that the second equipment can conduct asset recycling processing on the aircraft based on the virtual asset evaluation reference value and the article use permission of the aircraft.
Wherein the apparatus further comprises:
the data matching module is used for matching the virtual asset data inquired in the equipment account of the first equipment with the staged virtual asset value in the staged contracted compensation time range;
the condition determining module is used for determining that the virtual asset data queried in the equipment account of the first equipment has the condition of compensating the staged virtual asset value in the staged contracted compensation time range if the virtual asset data queried in the equipment account of the first equipment is larger than or equal to the staged virtual asset value in the staged contracted compensation time range;
The condition determining module is further configured to determine that the virtual asset data queried in the device account of the first device does not have a condition of compensating the staged virtual asset value in the staged contracted compensation time range if the virtual asset data queried in the device account of the first device is smaller than the staged virtual asset value in the staged contracted compensation time range.
Wherein the apparatus further comprises:
the information sending module is used for generating compensation warning prompt information according to the virtual asset data in the equipment account of the first equipment and the staged virtual asset data and sending the compensation warning prompt information to the first equipment; the compensation warning prompt information is used for prompting the first equipment, and the virtual asset data in the equipment account of the first equipment does not have the condition of compensating the staged virtual asset data in the staged contracted compensation time range;
the request receiving module is used for receiving a usage right transfer request for the aircraft, which is returned by the first equipment based on the compensation warning prompt information; the usage rights transfer request is for requesting transfer of temporary usage rights of the aircraft to the contractual device; the usage rights transfer request includes a staged contracted virtual asset and a contracted transfer time corresponding to the staged contracted virtual asset; the contracted transfer time refers to the time when the contracting device transfers the staged contracting virtual asset to the first device;
The request sending module is used for sending the use right transfer request to the contract device so that the contract device returns a use right transfer confirmation message based on the use right transfer request, the staged contract virtual asset and the contracted transfer time;
the range updating module is used for updating the phased contract compensation time range according to the use authority transfer confirmation message, and inquiring virtual asset data matched with the phased virtual asset data in the equipment account of the first equipment in the updated phased contract compensation time range; the updated staged contracted compensation time range comprises a time range corresponding to contracted transfer time;
the condition judgment module is used for determining that the virtual asset data inquired in the equipment account of the first equipment has the condition of compensating the phased virtual asset data in the updated phased appointed compensation time range if the virtual asset data inquired in the equipment account of the first equipment is larger than or equal to the phased virtual asset data in the updated phased appointed compensation time range;
and the step execution module is used for executing the step of calling the intelligent contract 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, and generating virtual asset breakage rates respectively corresponding to the fuselage, the landing gear, the energy supply equipment and the engine through the intelligent contract, the aircraft navigation data of the aircraft, the fuselage history maintenance data of the fuselage, the landing gear history maintenance data of the landing gear, the equipment history maintenance data of the energy supply equipment and the engine history maintenance data of the engine.
Wherein the apparatus further comprises:
the message receiving module is used for receiving the recovery processing confirmation message sent by the second equipment; the reclaiming processing confirm message is generated by the second device according to the virtual asset value of the aircraft; the aircraft virtual asset value is determined by the second device based on the virtual asset assessment reference value;
the value determining module is used for determining virtual asset values respectively corresponding to the machine body, the landing gear, the energy supply equipment and the engine according to the recovery processing confirmation message;
the residual data acquisition module is used for acquiring residual virtual asset data; the remaining virtual asset data refers to asset data in which the first device does not compensate the second device in the compensated total asset data; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the aircraft; the aircraft virtual asset data is virtual asset data corresponding to the application virtual asset value carried in an object weight transfer request for the aircraft sent by the first equipment to the second equipment; the object right transferring request is used for requesting to transfer the object accessory right of the airplane to the second device;
The target value determining module is used for determining the target virtual asset value in the virtual asset values respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine according to the residual virtual asset data;
the disassembly message sending module is used for generating a disassembly prompt message according to the target virtual asset value, and sending the disassembly prompt message to the second equipment so that the second equipment can perform asset recycling treatment on the target component corresponding to the target virtual asset value according to the disassembly prompt message; the target component includes a fuselage or landing gear or energy providing device or engine.
The virtual asset value comprises a fuselage virtual asset value corresponding to the fuselage, a landing gear virtual asset value corresponding to the landing gear, an equipment virtual asset value corresponding to the energy providing equipment and an engine virtual asset value corresponding to the engine;
the value determining module is also specifically used for triggering an intelligent contract according to the recovery processing confirmation message, and generating a virtual asset value of the airframe through the intelligent contract, the virtual asset damage rate corresponding to the airframe and the maintenance adjustment reference value corresponding to the airframe;
the value determining module is further specifically configured to generate a virtual asset value of the landing gear according to the virtual asset damage rate corresponding to the landing gear and the maintenance adjustment reference value corresponding to the landing gear;
The value determining module is further specifically configured to generate a virtual asset value of the device according to the virtual asset damage rate corresponding to the energy providing device and the maintenance adjustment reference value corresponding to the energy providing device;
the value determining module is further specifically configured to generate an engine virtual asset value according to the virtual asset damage rate corresponding to the engine and the maintenance adjustment reference value corresponding to the engine.
The value determining module is further specifically configured to obtain a value evaluation matrix through an intelligent contract; the elements in the value evaluation matrix are used for representing the value evaluation reference proportion corresponding to the virtual asset damage rate of the airframe and the airframe maintenance adjustment reference value respectively; the virtual asset damage rate of the airframe refers to the virtual asset damage rate corresponding to the airframe; the machine body maintenance adjustment reference value refers to a maintenance adjustment reference value corresponding to the machine body;
the value determining module is also specifically used for multiplying the virtual asset damage rate of the airframe, and the value evaluation reference specific gravity corresponding to the virtual asset damage rate of the airframe to obtain a target virtual asset damage rate of the airframe;
the value determining module is also specifically used for multiplying the value evaluation reference proportion corresponding to the body maintenance adjustment reference value by the body maintenance adjustment reference value to obtain a target body maintenance adjustment reference value;
The value determining module is also specifically configured to obtain a value generating function, and generate a virtual asset value of the fuselage according to the value generating function, the target virtual asset damage rate and the target maintenance adjustment reference value of the fuselage.
Wherein the apparatus further comprises:
the recovery data acquisition module is used for acquiring the recovery asset data of the airframe obtained after the airframe is subjected to asset recovery processing if the target component is the airframe;
the tag determining module is used for determining a difference value between the recovered asset data of the airframe and the virtual asset value of the airframe, and if the difference value is greater than or equal to a difference threshold value, the recovered asset data of the airframe is used as the tag virtual asset value;
the matrix adjustment module is used for acquiring a loss function, and adjusting the value evaluation matrix according to the loss function, the tag virtual asset value and the fuselage virtual asset value to obtain a target value evaluation matrix; the target value assessment matrix is used to determine a target fuselage virtual asset value for the target fuselage.
The target value determining module is further specifically configured to match the virtual asset value of the airframe, the virtual asset value of the landing gear, the virtual asset value of the equipment, and the virtual asset value of the engine with the remaining virtual asset data, and obtain M initial virtual asset values from the airframe, the landing gear, the virtual asset value of the equipment, and the virtual asset value of the engine according to the matching result; the initial virtual asset value is greater than or equal to the remaining virtual asset data; m is a positive integer;
The target value determining module is further specifically configured to obtain a minimum initial virtual asset value from the M initial virtual asset values, and use the minimum initial virtual asset value as the target virtual asset value.
The virtual asset breakage rate comprises a fuselage virtual asset breakage rate corresponding to the fuselage, a landing gear virtual asset breakage rate corresponding to the landing gear, a device virtual asset breakage rate corresponding to the energy providing device and an engine virtual asset breakage rate corresponding to the engine;
the data generation module is also specifically used for generating the virtual asset damage rate of the airframe through intelligent contracts, aircraft navigation data and airframe history maintenance data;
the data generation module is also specifically used for generating the virtual asset damage rate of the landing gear through intelligent contracts, aircraft navigation data and landing gear historical maintenance data;
the data generation module is also specifically used for generating equipment virtual asset damage rate through intelligent contracts, aircraft navigation data and equipment history maintenance data;
the data generation module is also specifically used for generating the virtual asset damage rate of the engine through intelligent contracts, aircraft navigation data and engine history maintenance data.
The maintenance adjustment reference value comprises a body maintenance adjustment reference value corresponding to the body, a landing gear maintenance adjustment reference value corresponding to the landing gear, an equipment maintenance adjustment reference value corresponding to the energy supply equipment and an engine maintenance adjustment reference value corresponding to the engine;
The data generation module is also specifically used for generating a fuselage maintenance adjustment reference value through intelligent contracts, aircraft navigation data and fuselage history maintenance data;
the data generation module is also specifically used for generating landing gear maintenance adjustment reference value through intelligent contracts, aircraft navigation data and landing gear historical maintenance data;
the data generation module is also specifically used for generating equipment maintenance adjustment reference value through intelligent contracts, aircraft navigation data and equipment history maintenance data;
the data generation module is also specifically used for generating an engine maintenance adjustment reference value through intelligent contracts, aircraft navigation data and engine history maintenance data.
The reference value generation module is further specifically configured to generate an aircraft virtual asset damage rate of the aircraft according to virtual asset damage rates corresponding to the airframe, the landing gear, the energy supply device and the engine respectively;
the reference value generation module is also specifically used for generating an aircraft maintenance adjustment reference value of the aircraft according to the maintenance adjustment reference values respectively corresponding to the aircraft body, the landing gear, the energy supply equipment and the engine;
the reference value generation module is also specifically configured to determine the aircraft virtual asset damage rate and the aircraft maintenance adjustment reference value as virtual asset evaluation reference values of the aircraft.
In one aspect, an embodiment of the present application provides a computer device, including: a processor and a memory;
the memory stores a computer program that, when executed by the processor, causes the processor to perform the methods of embodiments of the present application.
In one aspect, embodiments of the present application provide a computer-readable storage medium storing a computer program, the computer program comprising program instructions that, when executed by a processor, perform a method according to embodiments of the present application.
In one aspect of the application, a computer program product or computer program is provided that includes computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the method provided in an aspect of the embodiment of the present application.
In the embodiment of the application, in the staged contracted compensation time range, the balance in the device account of the first device can be queried through the blockchain (virtual asset data is queried), so that whether the first device can pay back (compensate) the staged virtual asset value on time or not can be automatically determined; and when the first device does not have the condition of repayment of the staged virtual asset value, the virtual asset evaluation reference value of the aircraft can be generated according to the related data (such as aircraft navigation data, airframe history maintenance data, landing gear history maintenance data, equipment history maintenance data of the energy providing device and engine history maintenance data) of the aircraft, and the blockchain can send the virtual asset evaluation reference value and the article using authority of the aircraft to the second device, and the second device can quickly and accurately conduct asset recovery processing on the aircraft based on the virtual asset evaluation reference value. It can be seen that the present application automatically checks whether the first user can pay for the staged virtual asset values on time through the blockchain; meanwhile, due to the non-tamperability of the blockchain, the authenticity of the data can be ensured, so that the reliability of the checking result can be ensured, that is, the checking process does not need to be manually participated, and the asset recovery efficiency and the safety of the article can be improved.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a diagram of a network architecture according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a data processing method according to an embodiment of the present application;
FIG. 3 is a schematic illustration of a scenario in which an aircraft is subject to asset recovery, provided by an embodiment of the present application;
FIG. 4 is a schematic flow chart of a component asset recycling process for components of an aircraft according to an embodiment of the present application;
FIG. 5 is a schematic illustration of a scenario in which components of an aircraft are subject to component asset recovery processing, provided by an embodiment of the present application;
FIG. 6 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Fig. 1 is a schematic diagram of a network architecture according to an embodiment of the present application. The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like, and is mainly used for sorting data according to time sequence, encrypting the data into an account book, preventing the account book from being tampered and forged, and simultaneously verifying, storing and updating the data. A blockchain is essentially a de-centralized database in which each node stores an identical blockchain, and the blockchain network distinguishes the nodes into core nodes, data nodes, and light nodes, wherein the core nodes are responsible for the consensus of the blockchain network, i.e., the core nodes are consensus nodes in the blockchain network. The process of writing the transaction data into the account book in the blockchain network can be that the client sends the transaction data to the data nodes or the light nodes, then the transaction data is transmitted between the data nodes or the light nodes in the blockchain network in a baton mode until the transaction data is received by the consensus node, the consensus node packages the transaction data into blocks, performs consensus among other consensus nodes, and writes the blocks carrying the transaction data into the account book after the consensus is passed.
As shown in fig. 1, the network architecture may include a core node (consensus node) cluster 1000, a data node or light node cluster 100, and a user terminal (client) cluster 10. As shown in fig. 1, the core node cluster 1000 may include a core node 1000a, core nodes 1000b, …, and a core node 1000n, the data node cluster 100 may include a data node 100a, a data node 100b, …, and a data node 100n, and the user terminal cluster 10 may include a user terminal 10a, user terminals 10b, …, and a user terminal 10n.
As shown in fig. 1, the user terminals 10a, 10b, …, 10n may respectively make network connections with the data nodes 100a, 100b, …, 100n, so that the user terminals may perform data interaction with the data nodes through the network connections; the data node 100a, the data nodes 100b, … and the data node 100n can respectively perform network connection with the core node 1000a, the core nodes 1000b, … and the core node 1000n, so that the data node can perform data interaction with the core node through the network connection; the data nodes 100a, 100b, … and 100n are connected to each other so that data interaction can be performed between the data nodes, and the core nodes 1000a, 1000b, … and 1000n are connected to each other so that data interaction can be performed between the core nodes.
The application provides an asset recycling method based on a blockchain based on the characteristic that the blockchain cannot be tampered or forged. It should be appreciated that a user with aircraft ownership may obtain corresponding aircraft virtual asset data (which may be virtual asset data corresponding to an application virtual asset value applied by the user with aircraft ownership) from a virtual asset provider through an item affiliated rights transfer (e.g., an item mortgage rights transfer) of the aircraft, and the provider may also obtain the item mortgage rights of the aircraft after transferring the aircraft virtual asset data to the user with aircraft ownership (at this time, the user with aircraft ownership still has the aircraft use rights). It should be appreciated that after the transfer of object rights, the user with aircraft ownership needs to repay (compensate) the staged virtual asset to the provider in stages and on time for the compensating total asset data that is consistent with the value of the aircraft virtual asset data acquired from the provider, and for this process, the user with aircraft ownership may automatically check whether the staged virtual asset data can be repaid on time based on the blockchain, and the provider may be timely notified of the asset recovery process for the aircraft when the user with aircraft ownership cannot repay on time.
In the following, a specific method provided by the present application will be described by taking the core node 1000a, the data node 100a, the user terminal 10a and the user terminal 10b as examples, in the range of the staged contracted compensating time, the core node 1000a may query the terminal account corresponding to the user terminal 10a for the virtual asset data (query balance) matched with the staged virtual asset value, so as to determine whether the balance of the user terminal 10a is sufficient to repayment the staged virtual asset value, and if the repayment is impossible, the core node 1000a may generate the virtual asset evaluation reference value of the aircraft according to the aircraft navigation data, the airframe history maintenance data, the engine history maintenance data, the landing gear history maintenance data and the equipment history maintenance data of the energy providing equipment; the core node 1000a may send the virtual asset evaluation reference value of the aircraft and the article use authority of the aircraft to the user terminal 10b, and the user terminal 10b may timely perform asset recycling processing on the aircraft based on the virtual asset evaluation reference value of the aircraft and the article use authority of the aircraft.
It should be appreciated that for this process, without human involvement, the efficiency of the inspection may be increased, thereby increasing the efficiency of the aircraft's asset recovery business; meanwhile, the blockchain has tamper resistance and traceability, so that the data and the checking result thereof have authenticity and reliability, and the asset recovery business of the airplane has higher safety and accuracy.
Further, referring to fig. 2, fig. 2 is a flow chart of a data processing method according to an embodiment of the application. The method may be performed by a blockchain node (e.g., the core node in the embodiment of fig. 1 described above), or may be performed by a blockchain node in conjunction with a user terminal (e.g., the user terminal in the embodiment of fig. 1 described above). The following will describe an example of the method performed by the block link point, wherein the engine-based data processing method may at least include the following steps S101-S105:
step S101, searching virtual asset data matched with a staged virtual asset value corresponding to an airplane in an equipment account of first equipment in a staged contracted compensation time range; the first device has the article use authority of the aircraft after the article attachment authority is transferred.
In the application, a user (a user with aircraft ownership) can initiate an object right transfer request for the aircraft through a user terminal, wherein the object right transfer request can be a transfer request of an object affiliated right, the object affiliated right can be an object mortgage right, and the user with the aircraft ownership has the object right after the object right is transferred. Through the transfer of the object weight of the aircraft, a user can obtain aircraft virtual asset data corresponding to an application virtual asset value (for example, 30 ten thousand yuan) from a virtual asset provider. The user with aircraft ownership then needs to compensate (refund) the compensating total asset data (consistent with the values corresponding to the aircraft virtual asset data) to the provider in stages. Each phase corresponds to a phased contract compensation time range, and the phased contract compensation time range can be determined by a provider or can be determined by the provider and a user with aircraft ownership in a common contract; the user needs to compensate the virtual asset data corresponding to the staged virtual asset value to the provider in each staged appointment compensation time frame, and the blockchain node may query the virtual asset data in the first device that matches the staged virtual asset value from the device account of the device corresponding to the user with aircraft ownership (i.e., the account address of the user with aircraft ownership) in each staged appointment compensation time frame to determine whether the virtual asset data in the device account of the first device is sufficient to repay the staged virtual asset value.
Step S102, if the virtual asset data inquired in the equipment account of the first equipment does not have the condition of compensating the staged virtual asset value in the staged contracted compensation time range, acquiring the virtual asset related data of the airplane; the virtual asset association data includes aircraft voyage data, fuselage history maintenance data for the fuselage, landing gear history maintenance data for the landing gear, equipment history maintenance data for the energy providing equipment, and engine history maintenance data for the engine.
In the application, the energy supply equipment can be an auxiliary power system (Auxiliary power unit, APU), and the main purpose can be to make the main engine supply power without depending on ground equipment in a stop state.
For the specific method of determining whether the virtual asset data queried in the device account of the first device has the condition of compensating the staged virtual asset value, the virtual asset data queried in the device account of the first device in the staged contracted compensation time range can be matched with the staged virtual asset value; if the virtual asset data queried in the device account of the first device is greater than or equal to the staged virtual asset value in the staged contracted compensation time range, determining that the virtual asset data queried in the device account of the first device has a condition for compensating the staged virtual asset value in the staged contracted compensation time range; if the virtual asset data queried in the device account of the first device is less than the staged virtual asset value within the staged contract compensation time range, it may be determined that the virtual asset data queried in the device account of the first device does not have a condition to compensate the staged virtual asset value within the staged contract compensation time range.
It should be appreciated that if the aircraft is already rented for use by other users (i.e., rented users), and the user with aircraft ownership is to use the rentals of the rented users to pay the staged virtual asset value, the user with aircraft ownership may submit an application to the block link points to re-rent the aircraft and pay the staged virtual asset by the new rentals provided by the new rented users because the rented users violate the rental agreement between the users with aircraft ownership (e.g., the rented users violate the agreement, pay the rentals on time), resulting in the user with aircraft ownership not being able to pay the staged virtual asset to the virtual asset provider. It should be appreciated that if the aircraft is not re-leased by a new rental user, or if the lease provided by the new rental user is still unable to repay the staged virtual asset, it may be determined that the user with aircraft ownership is still unable to repay the staged virtual asset, then the virtual asset provider may be notified to conduct asset reclamation processing on the aircraft; if a new rental user exists and the rental provided by the new rental user is sufficient to refund the staged virtual asset, the aircraft may not be subject to asset reclamation and the staged virtual asset may be refunded by the rental provided by the new rental user. The specific method can be that according to the virtual asset data in the equipment account of the first equipment and the staged virtual asset data, compensation warning prompt information is generated and sent 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 in the staged contracted compensation time range; subsequently, the first device may send a request for transfer of usage rights for the aircraft (i.e., a request to re-lease the aircraft) to the blockchain node based on the compensation warning cue; the blockchain node can receive a usage right transfer request for the aircraft, which is returned by the first device based on the compensation warning prompt information; wherein the usage rights transfer request is for requesting transfer of temporary usage rights of the aircraft to the contractual device (i.e., re-renting the aircraft); the usage rights transfer request includes a staged contracted virtual asset (i.e., lease) and a contracted transfer time (i.e., payment time for lease) corresponding to the staged contracted virtual asset; the contracted transfer time refers to the time when the contracting device transfers the staged contracting virtual asset to the first device; subsequently, the usage rights transfer request may be sent to the contractual device to cause the contractual device to return a usage rights transfer confirmation message based on the usage rights transfer request, the staged contractual virtual asset, and the contracted transfer time; according to the usage rights transfer confirmation message, the phased contract compensation time range can be updated, and virtual asset data matched with the phased virtual asset data can be queried in the device account of the first device in the updated phased contract compensation time range; the updated staged contract compensation time range comprises a time range corresponding to contract transfer time; if the virtual asset data queried in the device account of the first device is greater than or equal to the staged virtual asset data in the updated staged contract compensation time range, determining that the virtual asset data queried in the device account of the first device has a condition for compensating the staged virtual asset data in the updated staged contract compensation time range; and if the virtual asset data queried in the equipment account of the first equipment is smaller than the staged virtual asset data in the updated staged contract compensation time range, the step of calling the intelligent contract, and generating virtual asset damage rates respectively corresponding to the fuselage, the landing gear, the energy providing equipment and the engine through the intelligent contract, the aircraft navigation data of the aircraft, the aircraft body historical maintenance data of the fuselage, the landing gear historical maintenance data of the landing gear, the equipment historical maintenance data of the energy providing equipment and the engine historical maintenance data of the engine, namely, the step of performing asset recovery processing on the aircraft is performed.
Optionally, it may be appreciated that, after receiving a request for renting an aircraft, the blockchain node may further detect a quality status of the aircraft, and if the current quality status of the aircraft is not suitable for renting again, the aircraft may be disassembled and sold, and in the virtual asset data obtained by disassembling and selling, the remaining virtual asset data (i.e. the virtual asset data in the compensated total asset data, for which the user having ownership of the aircraft has not yet given the virtual asset provider yet) may be obtained, and the remaining virtual asset data may be used for repayment to the second device (i.e. the device corresponding to the virtual asset provider).
For ease of understanding, the following description will be given of the steps of asset recovery for an aircraft, which may include the following 6 steps:
1. the balance of the first device (i.e., virtual asset data in the device account of the first device) is queried.
2. And sending a compensation warning prompt message to the first device when the balance of the first device does not have repayment conditions for the staged virtual asset.
3. If the balance of the first device does not have a repayment condition due to a lease user violating the lease of the airplane, the first device may send an application request to the blockchain node to repalease the airplane.
4. Based on the request, it is determined whether the quality status of the aircraft is suitable for re-rental.
5. If the quality state of the aircraft is not suitable for re-leasing, the aircraft can be disassembled and sold, and disassembled virtual asset data obtained by disassembling and selling is preferentially used for repayment of the second equipment; if the disassembled virtual asset data obtained by disassembling and selling is still remained after repayment of the second equipment, the article handling virtual asset data for being distributed to the asset recycling platform can be obtained, and after the article handling virtual asset data is distributed to the platform, if the disassembled virtual asset data is still remained, all the remained disassembled virtual asset data can be returned to the user with the aircraft ownership.
6. If the quality status of the aircraft is suitable for re-renting, the aircraft may be re-rented and the staged virtual asset repaid from the rent obtained after the renting. If the lease obtained after re-lease does not have the repayment condition of the staged virtual asset (for example, the new lease is less than the staged virtual asset), a virtual asset evaluation reference value of the aircraft may be generated, and the second device may be notified to perform asset recycling processing on the aircraft based on the virtual asset evaluation reference value. For a specific method of generating the virtual asset assessment reference value of the aircraft, reference may be made to the description of the subsequent steps S103-S105.
Step S103, calling an intelligent contract, and generating virtual asset damage rates respectively corresponding to the fuselage, the landing gear, the energy providing device and the engine through the intelligent contract, the aircraft navigation data of the aircraft, the fuselage history maintenance data of the fuselage, the landing gear history maintenance data of the landing gear, the equipment history maintenance data of the energy providing device and the engine history maintenance data of the engine.
In the application, the virtual asset damage data may refer to the virtual asset damage rate corresponding to the loss of the maintenance proof data and the navigation authority proof data (quasi-flight proof data or navigability proof) of the fuselage, the landing gear, the engine and the energy supply equipment respectively. The virtual asset damage rate of the airframe can be generated through intelligent contracts, aircraft navigation data and airframe historical maintenance data of the airframe; generating a landing gear virtual asset damage rate of the landing gear through intelligent contracts, aircraft voyage data and landing gear historical maintenance data of the landing gear; generating equipment virtual asset damage rates through intelligent contracts, aircraft navigation data and equipment history maintenance data of energy supply equipment; and generating the virtual asset damage rate of the engine through intelligent contracts, aircraft voyage data and engine history maintenance data of the engine.
It should be appreciated that each energy providing device (APU) should be provided with return birth certificate data (Back to Birth Certificates) from the factory, which may include repair certificate data and quasi-flight certificate data (which may also be referred to as airworthiness certificate data), and if neither the repair certificate data nor the quasi-flight certificate data is lost, the virtual asset damage rate corresponding to the presence of the certificate may be queried from the blockchain full database (which may be queried by the device type of the energy providing device, e.g., the virtual asset damage rate queried by the device type is 0); if either or both of the repair evidence data and the quasi-fly evidence are lost, the corresponding virtual asset damage rate (Missing Back to Birth Certificates Discount) can be queried from the blockchain full database by the device type if either of the evidence is lost (or both of the evidence are lost). Similarly, it should be understood that each airframe should have returned birth certificate data from factory, if the repair certificate data and the quasi-flight certificate data are not lost, the virtual asset damage rate corresponding to the existence of the certificate can be queried from the blockchain full database (the aircraft type of the aircraft can be queried, for example, the virtual asset damage rate queried by the aircraft type is 0); if either or both of the repair evidence data and the quasi-flight evidence are lost, the corresponding virtual asset damage rate when either or both of the evidence is lost (or both of the evidence is lost) can be queried from the blockchain full database through the airplane type. Similarly, it should be understood that each landing gear should have returned birth certificate data from factory, if the repair certificate data and the quasi-flight certificate data are not lost, the virtual asset damage rate corresponding to the presence of the certificate can be queried from the blockchain full database (the landing gear type of the landing gear can be queried, for example, the virtual asset damage rate queried by the landing gear type is 0); if either or both of the repair evidence data and the quasi-flight evidence are lost, the corresponding virtual asset damage rate when either or both of the evidence is lost (or both of the evidence is lost) can be queried from the blockchain full database through the landing gear type. Similarly, it should be understood that each engine should have returned birth certificate data from factory, and if the repair certificate data and the quasi-flying certificate data are not lost, the virtual asset damage rate corresponding to the existence of the certificate can be queried from the blockchain full database (the query can be performed through the engine type of the engine, for example, the virtual asset damage rate queried through the engine type is 0); if either or both of the repair evidence data and the quasi-flying evidence are lost, the corresponding virtual asset damage rate when either or both of the evidence is lost (or both of the evidence is lost) can be queried from the blockchain full database through the engine type.
Step S104, generating maintenance adjustment reference values respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine through intelligent contracts, aircraft navigation data of the aircraft, airframe historical maintenance data of the airframe, landing gear historical maintenance data of the landing gear, equipment historical maintenance data of the energy supply equipment and engine historical maintenance data of the engine.
In the present application, the maintenance adjustment reference value (Maintenance Adjusted Base Value, MABV) may refer to a reference value corresponding to an aircraft in a state that the aircraft has not been used after performance recovery maintenance. The airframe maintenance adjustment reference value can be generated through intelligent contracts, aircraft navigation data and airframe historical maintenance data; generating landing gear maintenance adjustment reference values through intelligent contracts, aircraft voyage data and landing gear historical maintenance data; generating equipment maintenance adjustment reference value through intelligent contracts, aircraft navigation data and equipment history maintenance data; and generating the engine maintenance adjustment reference value through intelligent contracts, aircraft voyage data and engine history maintenance data.
The specific method for determining the maintenance adjustment reference value of the airframe can be as follows: the aircraft type may be obtained from the aircraft voyage data, and a list of performance maintenance unit cost rates (Airframe Heavy Maintenance Visit Rate, airframe HMV Rate) for the aircraft may be determined by the aircraft type, where the list Airframe HMV Rate includes one or more performance maintenance unit cost rates (Airframe HMV Rate) that may be a billing rate for a unit time when a greater amount of maintenance is performed on the aircraft (i.e., when a overhaul is performed on the aircraft) (e.g., a billing rate for a one month overhaul is performed on the aircraft); subsequently, a repair time limit type corresponding to the aircraft type may be obtained (e.g., 6years check, i.e., a larger number of repairs performed every 6 years; 12years check, i.e., a larger number of repairs performed every 12 years); from the Airframe HMV Rate list, the corresponding performance maintenance unit cost rate for the fuselage may be queried (Airframe HMV Rate) based on the repair time limit type. Then, the Half Life state value (Half Life) of the fuselage can be obtained by inquiring the aircraft type in a block chain full database, wherein the Half Life state value can be the corresponding value when the fuselage is in a state of not being maintained according to the actual maintenance condition; the maintenance sailing duration (Time Since Last Shop Visit, TSLSV) corresponding to the airplane body can be obtained from the airplane sailing data; the maintenance voyage duration of the fuselage (i.e., fuselage halolife-fuselage TSLSV) may then be subtracted using the Half-Life status value; then, the result obtained by subtracting the maintenance navigation time of the airframe from the half-life state value can be multiplied by the performance maintenance unit cost rate of the airframe to obtain the MABV of the airframe.
The specific method for determining the MABV of the landing gear can be as follows: the part numbers corresponding to the main landing gear, the left landing gear and the right landing gear can be obtained from the aircraft navigation data, and the half-life state adjustment value (Half Life Adjustment) of the main landing gear, the half-life state adjustment value of the left landing gear and the half-life state adjustment value of the right landing gear can be inquired in a block chain full database through the part numbers; subsequently, an average value between the half-life state adjustment value of the main landing gear, the half-life state adjustment value of the left landing gear, and the half-life state adjustment value of the right landing gear may be determined; further, the gear repair unit cost rate for the gear (e.g., the billing rate for gear repair in one month) may be obtained from the blockchain full database by part number; the average value may be multiplied by the gear repair unit cost rate to obtain the MABV of the gear. The method for determining the half-life state adjustment value of the main landing gear can be as follows: the maintenance navigation time of the main landing gear can be obtained from the aircraft navigation data; then, the Half Life state value (Half Life) of the main landing gear can be queried from the blockchain full quantity database through the part number of the main landing gear, and the maintenance sailing duration of the main landing gear can be subtracted from the Half Life state value of the main landing gear to obtain the Half Life state value of the main landing gear; similarly, the half-life state adjustment values respectively corresponding to the left landing gear and the right landing gear can be determined by the mode of the main landing gear through the part numbers respectively corresponding to the left landing gear and the right landing gear and the maintenance navigation time lengths respectively corresponding to the left landing gear and the right landing gear.
The specific method for determining MABV of an energy providing device (APU) can be as follows: the part numbers corresponding to the energy supply equipment can be obtained from the equipment history maintenance data, and the half-life state values and the performance maintenance unit cost rate corresponding to the energy supply equipment can be queried from the blockchain total database through the part numbers corresponding to the energy supply equipment; subsequently, the maintenance navigation duration (TSLSV) corresponding to the energy supply equipment can be obtained from the aircraft navigation data, and the maintenance navigation duration of the energy supply equipment is subtracted from the half-life state value to obtain a half-life state adjustment value (Half Life Adjustment) corresponding to the energy supply equipment; and then, multiplying the half-life state adjustment value corresponding to the energy supply equipment by the performance maintenance unit cost rate to obtain the MABV corresponding to the energy supply equipment.
The specific method for determining the MABV of the engine can be as follows: the engine type of the engine can be obtained from the engine historical maintenance data, and the half-life virtual asset value of the engine is queried in a blockchain full database according to the engine type of the engine (Half Life Market Value); subsequently, a target maintenance adjustment value for the engine may be obtained (Maintenance Adjustments), which may refer to an impact value of the maintenance on the virtual asset of the engine. And adding the half-life virtual asset value and the target maintenance adjustment value to obtain the maintenance adjustment reference value of the engine. The specific method for determining the target maintenance adjustment value of the engine can be as follows: the thrust power reduction (percent of Derate) of the engine can be obtained from the historical maintenance data of the engine, the maintenance voyage duration (TSLSV) and the maintenance voyage period (Cycle Since Last Shop Visit, CSLSV) of the engine can be obtained from the voyage data of the aircraft; subsequently, a ratio between the maintenance voyage duration and the maintenance voyage period can be determined, and a performance maintenance unit cost rate (Engine Performance Restorationrate, EPR rate) matched with the thrust minus power and the ratio can be queried in a blockchain full database through an intelligent contract; the EPR rate may refer to a billing rate for maintenance of the engine per unit time (e.g., a billing rate for maintenance of the engine within one hour). In the blockchain full database, the average maintenance time (Mean Time Between Repair, MTBR) matched with the thrust de-energizing and the ratio can also be queried; then, a passing area corresponding to the maintenance sailing period of the engine can be obtained, and an area breakage rate (Operating Region Discount) corresponding to the passing area can be obtained in a block chain total database, for example, the flying environment of a Y area is poorer than that of a B area, and the performance of the engine can be influenced more, and the area breakage rate of the Y area is larger than that of the B area; meanwhile, the corresponding navigational breaking rate of the engine in the non-first navigational state can be obtained from the blockchain full database, and the navigational breaking rate can be understood as the non-first navigational breaking rate (Mature Run Discount); then, the average maintenance time, the area breakage rate, and the voyage breakage rate may be multiplied, and the result of the multiplication may be divided by 2 to obtain a Half Life state value (Half Life) of the engine. Further, the half life state value of the engine can be subtracted from the TSLSV of the engine, and the subtracted result is multiplied by the EPR rate of the engine to obtain an EPR Adjustment value (EPR Adjustment) of the engine; further, a time-to-life component Adjustment value (Life Limited Parts Adjustment, LLP Adjustment) for the engine may be obtained; the performance restoration maintenance Adjustment value (EPR Adjustment) may then be added to the engine's time-to-life component Adjustment value, and the result may be used as a target maintenance Adjustment value for the engine.
The specific method for acquiring the adjustment value of the time-service assembly of the engine can be shown in the formula (1):
among other things, it should be understood that the engine's Life assembly (Life Limited Parts, LLP) may refer to a component of an engine that has a definite Life Limit. LLPLimit as in equation (1) can be used to characterize the maximum in-use time (in-use time limit) or maximum voyage leg of each time-life component of the engine; LLPCSN can be used to characterize historical voyage periods for each of the engine's life components; LLPPrice may be used to characterize the virtual asset value of the life component of each life component of the engine. It should be appreciated that for the method of determining LLPLimit and LLPPrice, the component numbers corresponding to each of the time-to-live components of the engine may be obtained in the aircraft voyage data via the smart contract, and the maximum in-use time-to-live component virtual asset value matching the engine type of the engine and the component numbers may be obtained in the blockchain full database.
Step S105, generating a virtual asset evaluation reference value for the aircraft according to the virtual asset damage rates, the maintenance adjustment reference values, and the maintenance adjustment reference values, wherein the virtual asset damage rates, the maintenance adjustment reference values are respectively corresponding to the aircraft, the landing gear, the energy supply equipment and the engine, and sending the virtual asset evaluation reference value and the article use permission of the aircraft to the second equipment so that the second equipment can conduct asset recycling processing on the aircraft based on the virtual asset evaluation reference value and the article use permission of the aircraft.
According to the application, the aircraft virtual asset damage rate of the aircraft can be generated according to the virtual asset damage rates respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine; the aircraft maintenance adjustment reference value of the aircraft can be generated according to the maintenance adjustment reference values respectively corresponding to the aircraft body, the landing gear, the energy supply equipment and the engine; the aircraft virtual asset damage rate, the aircraft maintenance adjustment baseline value may be determined as a virtual asset assessment reference value for the aircraft.
According to the application, the virtual asset damage rate of the airframe corresponding to the airframe, the virtual asset damage rate of the landing gear corresponding to the landing gear, the equipment virtual asset damage rate corresponding to the energy supply equipment and the engine virtual asset damage rate corresponding to the engine can be subjected to addition operation processing, so that the aircraft virtual asset damage rate of the aircraft can be obtained.
For the maintenance adjustment reference value of the aircraft, the aircraft type of the aircraft can be obtained through the aircraft navigation data, and then the half-life virtual asset value corresponding to the aircraft type can be queried in the blockchain full database through the aircraft type, wherein the half-life virtual asset value of the aircraft can be referred to as the half-life market value (Half Life Market Value) of the aircraft; further, the half-life virtual asset value of the aircraft, the maintenance adjustment reference value corresponding to the aircraft body, the maintenance adjustment reference value corresponding to the landing gear, the maintenance adjustment reference value corresponding to the energy supply device, and the maintenance adjustment reference value corresponding to the engine may be added, so that the maintenance adjustment reference value of the aircraft may be obtained.
Optionally, it may be understood that the virtual asset evaluation reference value of the aircraft may include an aircraft accident damage rate of the aircraft, a maintenance remaining duration of the aircraft, and a contracted virtual asset value of the aircraft, in addition to the above-mentioned aircraft virtual asset damage rate and maintenance adjustment reference value of the aircraft.
The accident rate of the aircraft can be obtained by adding the fuselage accident rate of the fuselage, the landing gear accident rate of the landing gear, the equipment accident rate of the energy supply equipment and the engine accident rate of the engine. It should be appreciated that if an incident does not occur on the energy supply device, a user having ownership of the aircraft may provide incident proof data (Non-Incident Statement) of the energy supply device to prove that an incident does not occur on the energy supply device, and based on the incident proof data, a corresponding incident damage rate (e.g., an incident damage rate of 0) may be queried in the blockchain full database; if an accident (e.g., fire, high-rise drop, etc.) occurs in the energy providing device, the aircraft ownership user may provide relevant accident occurrence data (including, for example, accident damage rates corresponding to the type of the accident) according to which the corresponding accident damage rates may be queried in the blockchain full database; if the aircraft owner does not provide the accident proof data of the energy providing device or the related accident occurrence data, the corresponding accident damage rate (when the accident proof data and the related accident occurrence data are not provided) can be queried in the blockchain total database according to the device type of the energy providing device.
It should be understood that, similarly, if no accident occurs on the fuselage, the corresponding accident damage rate (for example, the accident damage rate is 0) can be queried in the blockchain full database according to the accident proof data of the fuselage; if an accident occurs to the fuselage, the corresponding accident damage rate can be queried in the blockchain full database according to the related accident occurrence data (for example, the corresponding accident damage rate can be queried according to the accident type); if the aircraft ownership person does not provide the accident proof data of the aircraft body or the related accident occurrence data of the aircraft body, the corresponding accident damage rate (the accident damage rate when the accident proof data and the related accident occurrence data are not provided) can be queried in the block chain full database according to the aircraft type of the aircraft. Similarly, if no accident occurs on the landing gear, the corresponding accident damage rate (for example, the accident damage rate is 0) can be queried in the blockchain full database according to the accident proof data of the landing gear; if an accident occurs to the landing gear, the corresponding accident damage rate can be queried in the blockchain full database (for example, the corresponding accident damage rate can be queried according to the type of the accident); if the aircraft owner does not provide the accident proof data of the landing gear or the related accident occurrence data of the landing gear, the corresponding accident damage rate (when the accident proof data and the related accident occurrence data are not provided) can be queried in the blockchain full database according to the landing gear type of the landing gear.
Similarly, it should be understood that if an engine has no accident, the corresponding accident damage rate (for example, the accident damage rate is 0) may be queried in the blockchain full database according to the accident proof data of the engine; if an accident occurs in the engine, the corresponding accident damage rate can be queried in the blockchain full database (for example, the corresponding accident damage rate can be queried according to the type of the accident); if the aircraft owner does not provide accident proof data of the engine or related accident occurrence data of the engine, the corresponding accident damage rate (corresponding accident damage rate when the accident proof data and the related accident occurrence data are not provided) can be queried in the blockchain full database according to the engine type of the engine.
The remaining maintenance duration (Estimated Green Time) of the aircraft may refer to a remaining duration from the next maintenance of the aircraft. The corresponding historical sailing period (CSN) of the aircraft can be obtained in the aircraft sailing data, and the corresponding maintenance remaining time of the aircraft can be inquired according to the aircraft type, the maintenance sailing Time (TSLSV), the maintenance sailing period (CSLSV) and the CSN of the aircraft; it should be understood that the process from take-off to landing of the aircraft may be referred to as a Cycle, for example, when the aircraft is flying from city a to city B, the process from take-off to landing in city B may be referred to as a Cycle. The maintenance voyage duration of the aircraft may refer to the total voyage duration (Time Since Last Shop Visit, TSLSV) of the aircraft since performance recovery maintenance was performed; the maintenance voyage period may refer to a total voyage period (Cycle Since Last Shop Visit, CSLSV) of the aircraft since performance recovery maintenance was performed; the historical voyage period of an aircraft may refer to the total period of voyage of the aircraft after shipment.
Alternatively, it will be appreciated that the determination of the remaining length of maintenance (Estimated Green Time) may also be determined by the length of maintenance voyage (TSLSV) of the aircraft and the next time the aircraft is serviced. The next maintenance time of the aircraft can be obtained by querying a blockchain full database through aircraft types and aircraft Serial numbers (MSNs). For example, the last maintenance time for an aircraft was 7 am at 24 th month of 2020: 00, by inquiring, the next maintenance time should be 7 a.m. on 12 months 24 days in 2020: 00 hours later (where 10 hours herein refers to the maximum navigational hours of the aircraft after 7:00 service, that is, after 7:00 service, the aircraft must be serviced next after 10 hours of full flight); and if at 2020, 12 months 24 am 7:00, after the aircraft has been maintained for 5 hours, the 5 hours is the maintenance navigation duration (TSLSV), then the maintenance navigation duration 5 of the aircraft can be subtracted from the maximum navigation hour 10, and the obtained result 5 can be the remaining maintenance duration of the aircraft.
It should be noted that, including the previous maintenance time 2020, 12 months, 24 days, 7 am: 00. the maximum sailing hour of 10 hours and TSLSV of 5 hours are all illustrative for ease of understanding and are not meant to be a practical reference.
The contracted virtual asset value of the Aircraft may be referred to herein as the leased value (Aircraft Lease Encumbered Value, airtrain LEV) of the Aircraft. Specific methods for determining the leased value of an aircraft may include the following 4 schemes:
scheme (1): obtaining Maintenance Adjustment Benchmark Value (MABV), lease virtual asset flow equity, maintenance preparation virtual asset inflow equity, and maintenance preparation virtual asset outflow equity of the aircraft through the intelligent contract; then, the maintenance adjustment reference value (MABV), the net value of the leased virtual asset flow, and the net value of the repair preparation virtual asset inflow may be added, and the result of the addition and subtraction may be performed on the net value of the repair preparation virtual asset outflow, where the result of the subtraction may be used as a contracted virtual asset value of the aircraft. Wherein the net rental virtual asset flow value may refer to a net present value of a series of rental cash flows for the aircraft, the net repair preparation virtual asset inflow value may refer to a net present value of a series of repair preparation cash flows for the aircraft, and the net repair preparation virtual asset outflow value may refer to a net present value of a series of repair preparation cash flows for the aircraft.
For a specific implementation manner of determining the maintenance adjustment reference value of the aircraft, reference may be made to the above description, and will not be repeated here. And a specific method for determining the net value of the rental virtual asset flow may be as shown in equation (2):
wherein d in formula (2) i The payment time available for characterizing the ith Lease, at the earliest, may be the Lease Start time (Lease Start) in the temporary use contract (airplane Lease data) of the airplane, d 1 Can be used for representing the 0 th lease payment time; DR may be used to characterize a rental Rate (discovery Rate) of the aircraft, P i Can be used to characterize the i-th rental payment.
Wherein, for a specific implementation of determining the repair preparation virtual asset inflow equity, it may also be as shown in equation (2) above. Wherein d in equation (2) above when determining that the maintenance-ready virtual asset flows into equity by equation (2) i Can be used to characterize the inflow time of the ith maintenance preparation cash flow, d 1 Can be used to characterize the inflow time of the 0 th maintenance preparation cash flow; DR may be used to characterize a rental Rate (discovery Rate) of the aircraft, P i Can be used to characterize the inflow of the ith maintenance preparation cash flow.
Wherein, for a specific implementation of determining the net worth of the maintenance ready virtual asset outflow, it may also be as shown in equation (2) above. Wherein d in equation (2) above when determining the net value of the maintenance ready virtual asset outflow by equation (2) i Can be used to characterize the outflow time of the ith maintenance preparation cash flow,d 1 can be used to characterize the outflow time of the 0 th maintenance preparation cash flow; DR may be used to characterize a rental Rate (discovery Rate) of the aircraft, P i Can be used to characterize the payout amount of the ith maintenance preparation cash flow.
Scheme (2): the maintenance adjustment reference value (MABV), the lease virtual asset flow equity and the compensation virtual asset equity of the aircraft can be obtained through the intelligent contract, and the maintenance adjustment reference value (MABV), the lease virtual asset flow equity and the compensation virtual asset equity are added to obtain the contract virtual asset value.
For a specific implementation manner of determining the maintenance adjustment reference value and the net value of the leased virtual asset flow, reference may be made to the above description, and a detailed description will be omitted here.
For a specific implementation of determining the equity of the compensation virtual asset, the above formula (2) may also be used. Wherein d in equation (2) above when determining the equity of the compensating virtual asset by equation (2) i Acquisition time, d, useful for characterizing the ith compensating virtual asset 1 The acquisition time available to characterize the 0 th compensating virtual asset; DR may be used to characterize a rental Rate (discovery Rate) of the aircraft, P i Can be used to characterize the compensation virtual asset (compensation amount) for the ith time.
Scheme (3): the aircraft lease virtual asset traffic equity, the compensation virtual asset equity, and the split component virtual asset equity may be obtained through an intelligent contract. And adding the rented virtual asset flow equity, the compensated virtual asset equity and the split component virtual asset equity to obtain a contract virtual asset value. The net value of the split component virtual asset may be a net present value of a series of planned split (Part Out) values, where the series of planned split values may be values corresponding to the split component of the aircraft after the aircraft is split within a planned time range.
For a specific implementation of determining rental virtual asset traffic equity and compensating virtual asset equity, reference is made to the above description. While for the specific method of determining the equity of the virtual asset of the split component, the method can be as described aboveAnd the formula (2) is shown. Wherein d in equation (2) above when determining the equity of the split component virtual asset through equation (2) i Time available for characterizing ith plan split value, d 1 Time available to characterize the 0 th plan split value; DR may be used to characterize a rental Rate (discovery Rate) of the aircraft, P i Can be used to characterize the ith planned tear down amount.
Scheme (4): the aircraft rental virtual asset flow equity, maintenance preparation virtual asset inflow equity, maintenance preparation virtual asset outflow equity, and split component virtual asset equity may be obtained through an intelligent contract. And adding the net value of the flow of the leased virtual asset, the net value of the inflow of the maintenance preparation virtual asset and the net value of the virtual asset of the splitting component, subtracting the net value of the outflow of the maintenance preparation virtual asset from the result obtained by the adding operation, and taking the result obtained by the subtracting operation as a contract virtual asset value. For specific implementations of determining the aircraft rental virtual asset flow equity, the maintenance preparation virtual asset inflow equity, the maintenance preparation virtual asset outflow equity, and the split component virtual asset equity, reference should be made to the above description, and no further description will be given here.
In the present application, it should be understood that the blockchain node may send the virtual asset evaluation reference value (which may include an aircraft accident damage rate of the aircraft, an aircraft virtual asset damage rate, a maintenance adjustment reference value of the aircraft, a contracted virtual asset value of the aircraft, and a maintenance remaining period of the aircraft) to the second device, and the second device may determine an aircraft virtual asset value of the aircraft based on the virtual asset evaluation reference value, and then, the second device may generate a recovery processing confirmation message based on the aircraft virtual asset value; the second device may return the reclamation process acknowledge message to the blockchain node, and the blockchain node may subject the aircraft to asset reclamation processing of the whole aircraft based on the reclamation process message. For example, the blockchain node may sell the aircraft complete machine with the aircraft virtual asset value (e.g., 80 ten thousand yuan), the obtained complete machine virtual asset data (80 ten thousand yuan) may be preferentially allocated to the second device (e.g., 60 ten thousand yuan is preferentially allocated to the second device), if the complete machine virtual asset data remains after being allocated to the second device, the corresponding asset recycling treatment cost of the asset recycling treatment platform (i.e., the platform is used for processing the virtual asset), and if the complete machine virtual asset data remains after being allocated to the asset recycling treatment platform, the remaining virtual asset data may be completely returned to the first device.
Optionally, it may be understood that after receiving the recycling acknowledgement message sent by the second device, the blockchain node may evaluate a virtual asset value of a fuselage of the aircraft, a virtual asset value of a landing gear corresponding to the landing gear, a virtual asset value of an engine corresponding to the engine, and a virtual asset value of a device corresponding to the energy providing device. Then, the blockchain node may select a virtual asset value that is greater than or equal to the remaining virtual asset data (the virtual asset data that the first device has not yet given to the second device) among the virtual asset values, the blockchain node may select a target virtual asset value among the virtual asset values that is greater than or equal to the remaining virtual asset data, and determine a target component (e.g., a fuselage) to which the target virtual asset value corresponds, and then, the blockchain node may generate a disassembly hint message and send the disassembly hint message to the second device; the disassembly prompt message can be used for prompting the second equipment, and only the target component is disassembled from the airplane, the complete machine is not required to be subjected to asset recovery, and only the target component is required to be subjected to asset recovery processing (for example, asset selling processing), so that virtual asset data corresponding to the residual virtual asset data can be obtained. For a specific implementation of component asset recovery of a target component for a blockchain node, see description of the corresponding embodiment of fig. 4, infra.
It should be understood that, in the present application, the first device and the second device may both be user terminals, and the first device may be any user terminal in the user terminal cluster in the embodiment corresponding to fig. 1, for example, the user terminal is the user terminal 10a; the second device may be any user terminal in the user terminal cluster in the embodiment corresponding to fig. 1, for example, the user terminal is the user terminal 10b.
In the embodiment of the application, in the staged contracted compensation time range, the balance in the device account of the first device can be queried through the blockchain (virtual asset data is queried), so that whether the first device can pay back (compensate) the staged virtual asset value on time or not can be automatically determined; and when the first device does not have the condition of repayment of the staged virtual asset value, the virtual asset evaluation reference value of the aircraft can be generated according to the related data (such as aircraft navigation data, airframe history maintenance data, landing gear history maintenance data, equipment history maintenance data of the energy providing device and engine history maintenance data) of the aircraft, and the blockchain can send the virtual asset evaluation reference value and the article using authority of the aircraft to the second device, and the second device can quickly and accurately conduct asset recovery processing on the aircraft based on the virtual asset evaluation reference value. It can be seen that the present application automatically checks whether the first user can pay for the staged virtual asset values on time through the blockchain; meanwhile, due to the non-tamperability of the blockchain, the authenticity of the data can be ensured, so that the reliability of the checking result can be ensured, that is, the checking process does not need to be manually participated, and the asset recovery efficiency and the safety of the article can be improved.
For ease of understanding, please refer to fig. 3, fig. 3 is a schematic diagram of a scenario for asset recovery of an aircraft according to an embodiment of the present application. The ue a shown in fig. 3 may be any ue in the ue cluster 10 in the embodiment corresponding to fig. 1, for example, the ue is 10a; the ue B shown in fig. 3 may be any ue in the ue cluster 10 in the embodiment corresponding to fig. 1, for example, the ue is 10B; and the blockchain node shown in fig. 3 may be any core node in the core node cluster 1000 in the embodiment corresponding to fig. 1, for example, the core node may be the core node 1000b.
As shown in fig. 3, the user a may be a user having the ownership of the engine, and after the user a initiates the object right transfer request for the engine through the user terminal a, the user a successfully obtains the virtual asset data of the engine provided by the user b; then, the user a needs to repay (compensate) the compensating total asset data corresponding to the engine virtual asset data to the user b in a plurality of stages, and each repayment time is a staged contracted compensation time range, which may be a fixed time range (for example, 10 # to 15 # of each month), and the user a needs to repay the staged virtual asset in each staged contracted compensation time range.
It should be appreciated that in each phased arrangement compensation time frame, the blockchain node may query the balance of user a from the terminal account of user terminal a (the account address of user a) to determine whether the balance is sufficient to repay the phased virtual asset. When the balance of the user a is less than the staged virtual asset value, determining that the balance of the user a is insufficient to repay the staged virtual asset, and generating a virtual asset evaluation reference value of the aircraft by the blockchain node; for a specific implementation manner of generating the virtual asset estimation reference value of the aircraft, reference may be made to the description in the embodiment corresponding to fig. 2, and a detailed description will not be given here. Further, the blockchain node may send the virtual asset evaluation reference value of the aircraft and the article usage rights of the aircraft to the user terminal B, and the user terminal B may evaluate the aircraft virtual asset value of the aircraft based on the virtual asset evaluation reference value, and then the user terminal B may generate a recycle process confirmation message based on the aircraft virtual asset value and return the recycle process confirmation message to the blockchain node, and the blockchain node may perform asset recycling processing (e.g., sell processing) on the aircraft with the aircraft virtual asset value based on the recycle process confirmation message.
Further, referring to fig. 4, fig. 4 is a schematic flow chart of a component asset recycling process for components of an aircraft according to an embodiment of the present application. As shown in fig. 4, the process may include:
step S301, receiving a recycling process confirmation message sent by the second device; the reclaiming processing confirm message is generated by the second device according to the virtual asset value of the aircraft; the aircraft virtual asset value is determined by the second device based on the virtual asset assessment reference value.
In the application, the second device can determine the virtual asset value of the aircraft based on the virtual asset evaluation reference value of the aircraft sent by the blockchain node, and can generate the recovery processing confirmation message for the aircraft according to the virtual asset value of the aircraft, and the second device can return the recovery processing confirmation message to the blockchain node so as to carry out asset recovery processing on the aircraft.
Step S302, according to the recycling confirmation message, virtual asset values corresponding to the airframe, the landing gear, the energy supply equipment and the engine are determined.
According to the application, the intelligent contract can be triggered according to the recovery processing confirmation message, and the virtual asset value corresponding to the airframe can be generated through the intelligent contract, the virtual asset damage rate corresponding to the airframe and the maintenance adjustment reference value corresponding to the airframe; according to the virtual asset damage rate corresponding to the undercarriage and the maintenance adjustment reference value corresponding to the undercarriage, the virtual asset value of the undercarriage corresponding to the undercarriage can be generated; according to the virtual asset damage rate corresponding to the energy providing equipment and the maintenance adjustment reference value corresponding to the energy providing equipment, generating the equipment virtual asset value corresponding to the energy providing equipment; and generating the virtual asset value of the engine according to the virtual asset damage rate corresponding to the engine and the maintenance adjustment reference value corresponding to the engine.
The specific method for determining the virtual asset value of the airframe can be that a value evaluation matrix can be obtained through intelligent contracts; the elements in the value evaluation matrix can be used for representing the value evaluation reference proportion corresponding to the virtual asset damage rate of the airframe and the airframe maintenance adjustment reference value respectively; the virtual asset damage rate of the airframe can be the virtual asset damage rate corresponding to the airframe; the machine body maintenance adjustment reference value can refer to a maintenance adjustment reference value corresponding to the machine body; the virtual asset damage rate of the airframe can be multiplied by the value evaluation reference specific gravity corresponding to the virtual asset damage rate of the airframe to obtain a target virtual asset damage rate of the airframe; multiplying the value evaluation reference proportion corresponding to the body maintenance adjustment reference value by the body maintenance adjustment reference value to obtain a target body maintenance adjustment reference value; and acquiring a value generating function, and generating the virtual asset value of the airframe according to the value generating function, the target virtual asset damage rate and the target airframe maintenance adjustment reference value.
Optionally, it may be understood that the elements in the value evaluation matrix may be used to characterize a value evaluation reference specific gravity corresponding to the virtual asset damage rate of the fuselage, the maintenance adjustment reference value of the fuselage, and the accident damage rate of the fuselage, respectively; the virtual asset value of the fuselage may also be determined jointly by the fuselage virtual asset damage rate of the fuselage, the fuselage accident damage rate, the maintenance adjustment baseline value of the fuselage, and the value assessment matrix.
It should be appreciated that the value evaluation matrix described above may be as shown in value evaluation matrix A1:
value evaluation matrix A1
Wherein, if 2 values 1 in the value evaluation matrix A1 are respectively corresponding to the value evaluation reference proportion of the virtual asset damage rate of the airframe and the maintenance adjustment reference value of the airframe; the value 2 in the value evaluation matrix A1 can be used as the value evaluation reference proportion corresponding to the accident damage rate of the airplane body.
Taking the case that the damage rate of the virtual asset of the airframe is 5%, the maintenance and adjustment reference value of the airframe is 60 ten thousand yuan, and the accident damage rate of the airframe is 3%, the virtual asset value of the airframe can be determined by the value evaluation matrix A1 and the value generating function to be: [1- (5% ×1+3% ×1) ]×60=55.2, i.e., the aircraft body virtual asset value may be 55.2 ten thousand yuan.
It should be appreciated that, similarly, the landing gear, the energy providing device, and the engine may each correspond to a value assessment matrix, and the landing gear, the energy providing device, and the engine may obtain the respective corresponding virtual asset values through the respective corresponding value assessment matrices (the method of determining the virtual asset values of the airframe through the corresponding value assessment matrices of the airframe may be adopted).
Step S303, obtaining residual virtual asset data; the remaining virtual asset data refers to asset data in which the first device does not compensate the second device in the compensated total asset data; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the aircraft; the aircraft virtual asset data is virtual asset data corresponding to the application virtual asset value carried in an object weight transfer request for the aircraft sent by the first equipment to the second equipment; the transfer of ownership request is for requesting transfer of the aircraft's item attachment rights to the second device.
And step S304, determining a target virtual asset value in the virtual asset values respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine according to the residual virtual asset data.
The specific method for correspondingly determining the target virtual asset value in the application can be that the airframe virtual asset value, the landing gear virtual asset value, the equipment virtual asset value and the engine virtual asset value are matched with the rest virtual asset data, and M initial virtual asset values are obtained from the airframe virtual asset value, the landing gear virtual asset value, the equipment virtual asset value and the engine virtual asset value according to the matching result; the initial virtual asset value is greater than or equal to the remaining virtual asset data; m is a positive integer; and acquiring the minimum initial virtual asset value from the M initial virtual asset values, and taking the minimum initial virtual asset value as a target virtual asset value.
It should be appreciated that a sufficient virtual asset value for repayment of the remaining virtual asset data may be selected from the fuselage virtual asset value, landing gear virtual asset value, equipment virtual asset value, and engine virtual asset value, and then the minimum virtual asset value may be taken as the target virtual asset value from among those virtual asset values satisfying the repayment condition.
Step S305, generating a disassembly prompt message according to the target virtual asset value, and sending the disassembly prompt message to the second device so that the second device can perform asset recycling treatment on the target component corresponding to the target virtual asset value according to the disassembly prompt message; the target component includes a fuselage or landing gear or energy providing device or engine.
In the application, the disassembly prompt message can be used for prompting the second equipment, the whole aircraft is not required to be subjected to asset recovery processing, the target part (the part corresponding to the target virtual asset value) is disassembled in the aircraft, and the target part is subjected to asset recovery processing to obtain the virtual asset data corresponding to the residual virtual asset data.
In the present application, the value evaluation matrix corresponding to the fuselage, the landing gear, the energy supply device, and the engine may be adjusted, and a method of adjusting the value evaluation matrix will be described below by taking the adjustment of the value evaluation matrix corresponding to the fuselage as an example. The specific method includes that if the target component is a machine body, machine body recovery asset data obtained after asset recovery processing is carried out on the machine body is obtained; determining a difference value between the recovered asset data of the airframe and the virtual asset value of the airframe, and taking the recovered asset data of the airframe as a tag virtual asset value if the difference value is greater than or equal to a difference threshold value; acquiring a loss function, and adjusting the value evaluation matrix according to the loss function, the tag virtual asset value and the fuselage virtual asset value to obtain a target value evaluation matrix; the target value assessment matrix is used to determine a target fuselage virtual asset value for the target fuselage. That is, the value evaluation matrix corresponding to the fuselage can be adjusted according to the virtual asset data actually sold by the fuselage, so that the value of the virtual asset of the target fuselage obtained by the value evaluation matrix corresponding to the fuselage is more accurate.
In the embodiment of the application, the virtual asset values respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine can be calculated first, and the target component for component asset recovery processing is determined based on the virtual asset values respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine, so that the complete machine of the aircraft is not required to be subjected to asset recovery processing, and the utilization rate of the aircraft can be improved by only carrying out asset recovery processing on the target component.
For ease of understanding, fig. 5 is a schematic view of a scenario in which components of an aircraft are subjected to component asset recovery processing according to an embodiment of the present application. As shown in fig. 5, the user a may be a user having the ownership of the engine, and after the user a initiates the object right transfer request for the engine through the user terminal a, the user a successfully obtains the virtual asset data of the engine provided by the user b; then, the user a needs to repay (compensate) the compensating total asset data corresponding to the engine virtual asset data to the user b in a plurality of stages, and each repayment time is a staged contracted compensation time range, which may be a fixed time range (for example, 10 # to 15 # of each month), and the user a needs to repay the staged virtual asset in each staged contracted compensation time range.
It should be appreciated that in each phased arrangement compensation time frame, the blockchain node may query the balance of user a from the terminal account of user terminal a (the account address of user a) to determine whether the balance is sufficient to repay the phased virtual asset. When the balance of the user a is less than the staged virtual asset value, determining that the balance of the user a is insufficient to repay the staged virtual asset, and generating a virtual asset evaluation reference value of the aircraft by the blockchain node; for a specific implementation manner of generating the virtual asset estimation reference value of the aircraft, reference may be made to the description in the embodiment corresponding to fig. 2, and a detailed description will not be given here. Further, the blockchain node may send the virtual asset evaluation reference value of the aircraft and the article usage rights of the aircraft to the user terminal B, and the user terminal B may evaluate the aircraft virtual asset value of the aircraft based on the virtual asset evaluation reference value, and then the user terminal B may generate a reclamation process confirmation message based on the aircraft virtual asset value and return the reclamation process confirmation message to the blockchain node, and the blockchain node may trigger the smart contract based on the reclamation process confirmation message and determine the fuselage virtual asset value of the fuselage, the landing gear virtual asset value of the landing gear, the equipment virtual asset value of the energy providing equipment, and the engine virtual asset value of the engine through the smart contract; for a specific implementation manner of determining the virtual asset value of the fuselage, the virtual asset value of the landing gear, the virtual asset value of the device of the energy supply device, and the virtual asset value of the engine through the intelligent contract, reference should be made to the description in the embodiment corresponding to fig. 4, and the description will not be repeated here.
Further, the block chain node determines a target virtual asset value from the fuselage virtual asset value, the landing gear virtual asset value, the equipment virtual asset value, and the engine virtual asset value. For example, the fuselage virtual asset value is 30 ten thousand, the landing gear virtual asset value is 10 ten thousand, the equipment virtual asset value is 15 ten thousand, the engine virtual asset value is 50 ten thousand, and the remaining virtual asset data is 20 ten thousand; the remaining virtual asset data is greater than 20 ten thousand by 30 ten thousand and 50 ten thousand, and because 30 ten thousand is smaller, the virtual asset value of the airframe can be determined as the target virtual asset value by 30 ten thousand, and the airframe is taken as the target component. The blockchain node may then generate a disassociation hint message based on the target virtual asset value and the target part, and send the disassociation hint message to the user terminal B, through which the user terminal B may perform asset recycling processes on the fuselage (e.g., disassociate the fuselage from the aircraft and sell the fuselage).
It should be appreciated that the present application may refer to stable currencies with stable and flow characteristics as virtual asset data, for example, universal currencies with a range of price fluctuations, such as merry, may be referred to as virtual asset data; the present application may also refer to game virtual currencies as virtual asset data, and may refer to virtual currencies such as game medals, game experience values, game credits, and game diamonds in a game scene as virtual asset data, for example.
It should be appreciated that in a gaming scenario, a player may initiate a request for transfer of the right of a game piece or prop (transfer of item mortgage rights) to obtain corresponding virtual asset data (virtual asset data corresponding to an applied virtual asset value) from a provider of virtual assets (virtual currency such as game medals, game experience values, game credits, and game diamonds); subsequently, after successful transfer of the object right, i.e., after successful acquisition of the aircraft virtual asset data (e.g., 100 tokens) from the virtual asset provider, the player needs to repay the 100 tokens to the virtual asset provider in stages.
The blockchain node may query the player's virtual account for corresponding virtual asset data within each staged engagement compensation time frame, e.g., 20 tokens for the staged virtual asset data, but only 10 tokens in the player's virtual account, the blockchain node may obtain related data for the aircraft, e.g., aircraft voyage data (e.g., data for virtual voyage of aircraft equipment or props in a game), aircraft fuselage, landing gear, energy providing devices, and historical maintenance data for maintenance of the engine in the game, based on the related data for the aircraft, may generate a virtual asset assessment reference value for the aircraft, and the blockchain node may transfer the virtual asset assessment reference value and the article usage rights for the aircraft to a virtual asset provider for the virtual asset provider to perform asset reclamation processing on the aircraft.
Further, referring to fig. 6, fig. 6 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application. The data processing apparatus may be a computer program (including program code) running in a computer device, for example the data processing apparatus is an application software; the asset data processing device may be used to perform the methods shown in fig. 2 and 4. As shown in fig. 6, the data processing apparatus 1 may include: the system comprises a data query module 11, a data acquisition module 12, a contract invoking module 13, a data generation module 14 and a reference value sending module 15.
The data query module 11 is configured to query, in a phased contracted compensation time range, virtual asset data that matches a phased virtual asset value corresponding to the aircraft in an equipment account of the first device; the first device is provided with article use rights of the aircraft after article attachment rights are transferred;
the data obtaining module 12 is configured to obtain virtual asset related data of the aircraft if the virtual asset data queried in the device account of the first device does not have a condition of compensating the staged virtual asset value within the staged contracted compensation time range; the virtual asset association data includes aircraft voyage data, fuselage history maintenance data for the fuselage, landing gear history maintenance data for the landing gear, equipment history maintenance data for the energy providing equipment, and engine history maintenance data for the engine;
A contract calling module 13 for calling an intelligent contract;
the data generating module 14 is configured to generate virtual asset damage rates corresponding to the fuselage, the landing gear, the energy providing device, and the engine respectively through the intelligent contract, the aircraft navigation data of the aircraft, the fuselage history maintenance data of the fuselage, the landing gear history maintenance data of the landing gear, the device history maintenance data of the energy providing device, and the engine history maintenance data of the engine;
the data generating module 14 is further configured to generate maintenance adjustment reference values corresponding to the fuselage, the landing gear, the energy providing device, and the engine respectively through the intelligent contract, the aircraft navigation data of the aircraft, the fuselage history maintenance data of the fuselage, the landing gear history maintenance data of the landing gear, the device history maintenance data of the energy providing device, and the engine history maintenance data of the engine;
the reference value sending module 15 is configured to generate a virtual asset evaluation reference value for the aircraft according to the virtual asset damage rates, the maintenance adjustment reference values, and the maintenance adjustment reference values, which correspond to the airframe, the landing gear, the energy providing device, and the engine, respectively, and send the virtual asset evaluation reference value and the article use permission of the aircraft to the second device, so that the second device performs asset recovery processing on the aircraft based on the virtual asset evaluation reference value and the article use permission of the aircraft.
The specific implementation manners of the data query module 11, the data acquisition module 12, the contract invoking module 13, the data generation module 14, and the reference value sending module 15 can be referred to the description of step S101-step S105 in the embodiment corresponding to fig. 2, and will not be repeated here.
Referring to fig. 6, the apparatus 1 may further include: a data matching module 16 and a condition determining module 17.
A data matching module 16, configured to match virtual asset data queried in the device account of the first device with the staged virtual asset value within the staged contracted compensation time range;
the condition determining module 17 is configured to determine that, in the phased contract compensation time range, the virtual asset data queried in the device account of the first device has a condition for compensating the phased virtual asset value if the virtual asset data queried in the device account of the first device is greater than or equal to the phased virtual asset value;
the condition determining module 17 is further configured to determine that the virtual asset data queried in the device account of the first device does not have a condition for compensating the staged virtual asset value in the staged contracted compensation time range if the virtual asset data queried in the device account of the first device is smaller than the staged virtual asset value in the staged contracted compensation time range.
Referring to fig. 6, the apparatus 1 may further include: an information transmitting module 18, a request receiving module 19, a request transmitting module 20, a range updating module 21, a condition determining module 22, and a step executing module 23.
An information sending module 18, configured to generate compensation warning prompt information according to the virtual asset data in the device account of the first device and the staged virtual asset data, and send the compensation warning prompt information to the first device; the compensation warning prompt information is used for prompting the first equipment, and the virtual asset data in the equipment account of the first equipment does not have the condition of compensating the staged virtual asset data in the staged contracted compensation time range;
a request receiving module 19, configured to receive a usage rights transfer request for the aircraft returned by the first device based on the compensation warning prompt information; the usage rights transfer request is for requesting transfer of temporary usage rights of the aircraft to the contractual device; the usage rights transfer request includes a staged contracted virtual asset and a contracted transfer time corresponding to the staged contracted virtual asset; the contracted transfer time refers to the time when the contracting device transfers the staged contracting virtual asset to the first device;
A request sending module 20, configured to send a usage rights transfer request to the contract device, so that the contract device returns a usage rights transfer confirmation message based on the usage rights transfer request, the staged contract virtual asset, and the contracted transfer time;
the range updating module 21 is configured to update the staged contract compensation time range according to the usage right transfer confirmation message, and query the device account of the first device for virtual asset data that matches the staged virtual asset data in the updated staged contract compensation time range; the updated staged contracted compensation time range comprises a time range corresponding to contracted transfer time;
the condition determining module 22 is configured to determine that, in the updated staged contract compensation time range, the virtual asset data queried in the device account of the first device has a condition for compensating the staged virtual asset data if the virtual asset data queried in the device account of the first device is greater than or equal to the staged virtual asset data;
and the step execution module 23 is configured to execute the step of calling the intelligent contract to generate virtual asset breakage rates respectively corresponding to the fuselage, the landing gear, the energy supply device and the engine by the intelligent contract, the aircraft navigation data of the aircraft, the fuselage history maintenance data of the fuselage, the landing gear history maintenance data of the landing gear, the equipment history maintenance data of the energy supply device and the engine history maintenance data of the engine if the virtual asset data queried in the equipment account of the first device is smaller than the staged virtual asset data in the updated staged contract compensation time range.
The specific implementation manners of the information sending module 18, the request receiving module 19, the request sending module 20, the range updating module 21, the condition determining module 22, and the step executing module 23 can be referred to the description of step S102 in the embodiment corresponding to fig. 2, and will not be repeated here.
Referring to fig. 6, the apparatus 1 may further include: a message receiving module 24, a value determining module 25, a remaining data obtaining module 26, a target value determining module 27, and a disassemble message transmitting module 28.
A message receiving module 24, configured to receive a reclamation processing confirmation message sent by the second device; the reclaiming processing confirm message is generated by the second device according to the virtual asset value of the aircraft; the aircraft virtual asset value is determined by the second device based on the virtual asset assessment reference value;
a value determining module 25, configured to determine virtual asset values corresponding to the fuselage, the landing gear, the energy supply device, and the engine, respectively, according to the recycling process confirmation message;
a remaining data acquisition module 26 for acquiring remaining virtual asset data; the remaining virtual asset data refers to asset data in which the first device does not compensate the second device in the compensated total asset data; the compensation total asset data refers to asset data which needs to be compensated to the second device by the first device in an expected time period, and the value of the compensation total asset data is equal to the value of the virtual asset data of the aircraft; the aircraft virtual asset data is virtual asset data corresponding to the application virtual asset value carried in an object weight transfer request for the aircraft sent by the first equipment to the second equipment; the object right transferring request is used for requesting to transfer the object accessory right of the airplane to the second device;
A target value determining module 27, configured to determine a target virtual asset value from the remaining virtual asset data among the virtual asset values respectively corresponding to the fuselage, the landing gear, the energy supply device, and the engine;
a disassembly message sending module 28, configured to generate a disassembly prompt message according to the target virtual asset value, and send the disassembly prompt message to the second device, so that the second device performs asset recycling processing on the target component corresponding to the target virtual asset value according to the disassembly prompt message; the target component includes a fuselage or landing gear or energy providing device or engine.
The specific implementation manners of the message receiving module 24, the value determining module 25, the remaining data obtaining module 26, the target value determining module 27, and the disassembling message sending module 28 may be referred to the description of step S301 to step S305 in the embodiment corresponding to fig. 4, and will not be described herein.
The virtual asset value comprises a fuselage virtual asset value corresponding to the fuselage, a landing gear virtual asset value corresponding to the landing gear, an equipment virtual asset value corresponding to the energy providing equipment and an engine virtual asset value corresponding to the engine;
the value determining module 25 is further specifically configured to trigger an intelligent contract according to the recovery processing confirmation message, and generate a virtual asset value of the fuselage by the intelligent contract, the virtual asset damage rate corresponding to the fuselage, and the maintenance adjustment reference value corresponding to the fuselage;
The value determining module 25 is further specifically configured to generate a virtual asset value of the landing gear according to the virtual asset damage rate corresponding to the landing gear and the maintenance adjustment reference value corresponding to the landing gear;
the value determining module 25 is further specifically configured to generate an equipment virtual asset value according to the virtual asset damage rate corresponding to the energy providing equipment and the maintenance adjustment reference value corresponding to the energy providing equipment;
the value determining module 25 is further specifically configured to generate an engine virtual asset value according to the virtual asset damage rate corresponding to the engine and the maintenance adjustment reference value corresponding to the engine.
Wherein, the value determining module 25 is further specifically configured to obtain a value evaluation matrix through an intelligent contract; the elements in the value evaluation matrix are used for representing the value evaluation reference proportion corresponding to the virtual asset damage rate of the airframe and the airframe maintenance adjustment reference value respectively; the virtual asset damage rate of the airframe refers to the virtual asset damage rate corresponding to the airframe; the machine body maintenance adjustment reference value refers to a maintenance adjustment reference value corresponding to the machine body;
the value determining module 25 is further specifically configured to multiply the virtual asset damage rate of the airframe, with a value evaluation reference specific gravity corresponding to the virtual asset damage rate of the airframe, to obtain a target virtual asset damage rate of the airframe;
The value determining module 25 is further specifically configured to multiply the value evaluation reference specific gravity corresponding to the body maintenance adjustment reference value to obtain a target body maintenance adjustment reference value;
the value determining module 25 is further specifically configured to obtain a value generating function, and generate a virtual asset value of the fuselage according to the value generating function, the target virtual asset damage rate and the target maintenance adjustment reference value of the fuselage.
Referring to fig. 6, the apparatus 1 may further include: a recovery data acquisition module 29, a tag determination module 30, and a matrix adjustment module 31.
A recovery data acquisition module 29, configured to acquire recovered asset data of the airframe obtained by performing asset recovery processing on the airframe if the target component is the airframe;
the tag determining module 30 is configured to determine a difference between the recovered fuselage asset data and the virtual fuselage asset value, and if the difference is greater than or equal to a difference threshold, then use the recovered fuselage asset data as the tag virtual asset value;
the matrix adjustment module 31 is configured to obtain a loss function, and adjust the value evaluation matrix according to the loss function, the tag virtual asset value and the fuselage virtual asset value to obtain a target value evaluation matrix; the target value assessment matrix is used to determine a target fuselage virtual asset value for the target fuselage.
The specific implementation manner of the recovery data obtaining module 29, the label determining module 30, and the matrix adjusting module 31 may be referred to the description of step S305 in the embodiment corresponding to fig. 4, and will not be described herein.
The target value determining module 27 is further specifically configured to match the airframe virtual asset value, the landing gear virtual asset value, the equipment virtual asset value, and the engine virtual asset value with the remaining virtual asset data, and obtain M initial virtual asset values from the airframe virtual asset value, the landing gear virtual asset value, the equipment virtual asset value, and the engine virtual asset value according to the matching result; the initial virtual asset value is greater than or equal to the remaining virtual asset data; m is a positive integer;
the target value determining module 27 is further specifically configured to obtain a minimum initial virtual asset value from the M initial virtual asset values, and take the minimum initial virtual asset value as the target virtual asset value.
The virtual asset breakage rate comprises a fuselage virtual asset breakage rate corresponding to the fuselage, a landing gear virtual asset breakage rate corresponding to the landing gear, a device virtual asset breakage rate corresponding to the energy providing device and an engine virtual asset breakage rate corresponding to the engine;
The data generating module 14 is further specifically configured to generate a virtual asset damage rate of the fuselage through intelligent contracts, aircraft navigation data, and historical maintenance data of the fuselage;
the data generation module 14 is further specifically configured to generate a virtual asset damage rate of the landing gear through the intelligent contract, the aircraft voyage data, and the landing gear history maintenance data;
the data generation module 14 is further specifically configured to generate a device virtual asset damage rate according to the intelligent contract, the aircraft navigation data, and the device history maintenance data;
the data generation module 14 is further specifically configured to generate an engine virtual asset damage rate through the smart contract, the aircraft voyage data, and the engine history maintenance data.
The maintenance adjustment reference value comprises a body maintenance adjustment reference value corresponding to the body, a landing gear maintenance adjustment reference value corresponding to the landing gear, an equipment maintenance adjustment reference value corresponding to the energy supply equipment and an engine maintenance adjustment reference value corresponding to the engine;
the data generating module 14 is further specifically configured to generate a fuselage maintenance adjustment reference value through the intelligent contract, the aircraft navigation data and the fuselage history maintenance data;
the data generation module 14 is further specifically configured to generate landing gear maintenance adjustment reference values through intelligent contracts, aircraft voyage data, and landing gear history maintenance data;
The data generating module 14 is further specifically configured to generate an equipment maintenance adjustment reference value according to the intelligent contract, the aircraft navigation data and the equipment history maintenance data;
the data generation module 14 is further specifically configured to generate an engine maintenance adjustment reference value through the smart contract, the aircraft voyage data, and the engine history maintenance data.
The reference value generating module 15 is further specifically configured to generate an aircraft virtual asset damage rate of the aircraft according to virtual asset damage rates corresponding to the airframe, the landing gear, the energy providing device and the engine respectively;
the reference value generating module 15 is further specifically configured to generate an aircraft maintenance adjustment reference value of the aircraft according to the maintenance adjustment reference values respectively corresponding to the airframe, the landing gear, the energy providing device and the engine;
the reference value generating module 15 is further specifically configured to determine the aircraft virtual asset damage rate and the aircraft maintenance adjustment reference value as virtual asset evaluation reference values of the aircraft.
In the embodiment of the application, in the staged contracted compensation time range, the balance in the device account of the first device can be queried through the blockchain (virtual asset data is queried), so that whether the first device can pay back (compensate) the staged virtual asset value on time or not can be automatically determined; and when the first device does not have the condition of repayment of the staged virtual asset value, the virtual asset evaluation reference value of the aircraft can be generated according to the related data (such as aircraft navigation data, airframe history maintenance data, landing gear history maintenance data, equipment history maintenance data of the energy providing device and engine history maintenance data) of the aircraft, and the blockchain can send the virtual asset evaluation reference value and the article using authority of the aircraft to the second device, and the second device can quickly and accurately conduct asset recovery processing on the aircraft based on the virtual asset evaluation reference value. It can be seen that the present application automatically checks whether the first user can pay for the staged virtual asset values on time through the blockchain; meanwhile, due to the non-tamperability of the blockchain, the authenticity of the data can be ensured, so that the reliability of the checking result can be ensured, that is, the checking process does not need to be manually participated, and the asset recovery efficiency and the safety of the article can be improved.
Further, referring to fig. 7, fig. 7 is a schematic structural diagram of a computer device according to an embodiment of the present application. As shown in fig. 7, the apparatus 1 in the embodiment corresponding to fig. 6 may be applied to the computer device 1000, and the computer device 1000 may include: processor 1001, network interface 1004, and memory 1005, and in addition, the above-described computer device 1000 further includes: a user interface 1003, and at least one communication bus 1002. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display (Display), a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface, among others. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 1005 may also optionally be at least one storage device located remotely from the processor 1001. As shown in fig. 7, an operating system, a network communication module, a user interface module, and a device control application may be included in a memory 1005, which is a type of computer-readable storage medium.
In the computer device 1000 shown in FIG. 7, the network interface 1004 may provide network communication functions; while user interface 1003 is primarily used as an interface for providing input to a user; and the processor 1001 may be used to invoke a device control application stored in the memory 1005 to implement:
in the staged contracted compensation time range, inquiring virtual asset data matched with the staged virtual asset value corresponding to the airplane in the equipment account of the first equipment; the first device is provided with article use rights of the aircraft after article attachment rights are transferred;
if the virtual asset data inquired in the equipment account of the first equipment does not have the condition of compensating the staged virtual asset value in the staged contracted compensation time range, acquiring the virtual asset related data of the airplane; the virtual asset association data includes aircraft voyage data, fuselage history maintenance data for the fuselage, landing gear history maintenance data for the landing gear, equipment history maintenance data for the energy providing equipment, and engine history maintenance data for the engine;
calling an intelligent contract, and generating virtual asset damage rates corresponding to the fuselage, the landing gear, the energy supply equipment and the engine respectively through the intelligent contract, the aircraft navigation data of the aircraft, the fuselage history maintenance data of the fuselage, the landing gear history maintenance data of the landing gear, the equipment history maintenance data of the energy supply equipment and the engine history maintenance data of the engine;
Generating maintenance adjustment reference values respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine through intelligent contracts, aircraft navigation data of the aircraft, airframe historical maintenance data of the airframe, landing gear historical maintenance data of the landing gear, equipment historical maintenance data of the energy supply equipment and engine historical maintenance data of the engine;
according to the virtual asset damage rates, the maintenance adjustment reference values respectively corresponding to the airframe, the landing gear, the energy providing equipment and the engine, the virtual asset evaluation reference values for the aircraft are generated, and the virtual asset evaluation reference values and the article use permission of the aircraft are sent to the second equipment, so that the second equipment carries out asset recycling processing on the aircraft based on the virtual asset evaluation reference values and the article use permission of the aircraft.
It should be understood that the computer device 1000 described in the embodiment of the present application may perform the description of the data processing method in the embodiment corresponding to fig. 2 and 4, and may also perform the description of the data processing apparatus 1 in the embodiment corresponding to fig. 6, which is not repeated herein. In addition, the description of the beneficial effects of the same method is omitted.
Furthermore, it should be noted here that: the embodiment of the present application further provides a computer readable storage medium, where a computer program executed by the computer device 1000 for data processing mentioned above is stored, where the computer program includes program instructions, when the processor executes the program instructions, the description of the data processing method in the embodiment corresponding to fig. 3 and 5 can be executed, and therefore, will not be repeated herein. In addition, the description of the beneficial effects of the same method is omitted. For technical details not disclosed in the embodiments of the computer-readable storage medium according to the present application, please refer to the description of the method embodiments of the present application.
The computer readable storage medium may be the data processing apparatus provided in any one of the foregoing embodiments or an internal storage unit of the computer device, for example, a hard disk or a memory of the computer device. The computer readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash card (flash card) or the like, which are provided on the computer device. Further, the computer-readable storage medium may also include both internal storage units and external storage devices of the computer device. The computer-readable storage medium is used to store the computer program and other programs and data required by the computer device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
In one aspect of the application, a computer program product or computer program is provided that includes computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the method provided in an aspect of the embodiment of the present application.
The terms first, second and the like in the description and in the claims and drawings of embodiments of the application are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the term "include" and any variations thereof is intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or device that comprises a list of steps or elements is not limited to the list of steps or modules but may, in the alternative, include other steps or modules not listed or inherent to such process, method, apparatus, article, or device.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The method and related apparatus provided in the embodiments of the present application are described with reference to the flowchart and/or schematic structural diagrams of the method provided in the embodiments of the present application, and each flow and/or block of the flowchart and/or schematic structural diagrams of the method may be implemented by computer program instructions, and combinations of flows and/or blocks in the flowchart and/or block diagrams. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or structural diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or structures.
The foregoing disclosure is illustrative of the present application and is not to be construed as limiting the scope of the application, which is defined by the appended claims.

Claims (14)

1. A method of data processing, comprising:
in the staged contracted compensation time range, inquiring virtual asset data matched with the staged virtual asset value corresponding to the airplane in the equipment account of the first equipment; the first equipment is provided with article use rights of the aircraft after the transfer of the article attachment rights;
if the virtual asset data inquired in the equipment account of the first equipment does not have the condition of compensating the staged virtual asset value in the staged contracted compensation time range, acquiring the virtual asset related data of the airplane; the virtual asset association data includes aircraft voyage data, fuselage history maintenance data of the fuselage, landing gear history maintenance data of the landing gear, equipment history maintenance data of the energy providing equipment, and engine history maintenance data of the engine;
invoking an intelligent contract, and generating virtual asset damage rates corresponding to the airframe, the landing gear, the energy providing equipment and the engine respectively through the intelligent contract, aircraft navigation data of the aircraft, airframe history maintenance data of the airframe, landing gear history maintenance data of the landing gear, equipment history maintenance data of the energy providing equipment and engine history maintenance data of the engine;
Generating maintenance adjustment reference values respectively corresponding to the fuselage, the landing gear, the energy supply device and the engine through the intelligent contract, the aircraft navigation data of the aircraft, the fuselage history maintenance data of the fuselage, the landing gear history maintenance data of the landing gear, the device history maintenance data of the energy supply device and the engine history maintenance data of the engine;
generating a virtual asset assessment reference value for the aircraft according to the virtual asset damage rates respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine, the maintenance adjustment reference values respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine, and sending the virtual asset assessment reference value and the article use permission of the aircraft to a second device so that the second device carries out asset recovery processing on the aircraft based on the virtual asset assessment reference value and the article use permission of the aircraft.
2. The method according to claim 1, wherein the method further comprises:
matching the virtual asset data queried in the equipment account of the first equipment with the staged virtual asset value within the staged contracted compensation time range;
If the virtual asset data queried in the equipment account of the first equipment is greater than or equal to the staged virtual asset value in the staged contracted compensation time range, determining that the virtual asset data queried in the equipment account of the first equipment in the staged contracted compensation time range has the condition of compensating the staged virtual asset value;
and if the virtual asset data inquired in the equipment account of the first equipment in the phasing appointment compensating time range is smaller than the phasing virtual asset value, determining that the virtual asset data inquired in the equipment account of the first equipment in the phasing appointment compensating time range does not have the condition of compensating the phasing virtual asset value.
3. The method according to claim 1, 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 in the staged contracted compensation time range, 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 aircraft returned by the first device based on the compensation warning prompt information; the usage rights transfer request is for requesting transfer of temporary usage rights of the aircraft 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 contract compensation time range, executing the step of calling an intelligent contract, and generating virtual asset damage rates respectively corresponding to the fuselage, the landing gear, the energy supply equipment and the engine through the intelligent contract, the aircraft navigation data of the aircraft, the fuselage history maintenance data of the fuselage, the landing gear history maintenance data of the landing gear, the equipment history maintenance data of the energy supply equipment and the engine history maintenance data of the engine.
4. The method according to claim 1, wherein the method further comprises:
Receiving a recycling confirmation message sent by the second equipment; the reclaiming process confirmation message is generated by the second device according to the aircraft virtual asset value of the aircraft; the aircraft virtual asset value is determined by the second device based on the virtual asset assessment reference value;
determining virtual asset values respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine according to the recovery processing confirmation message;
acquiring 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 aircraft; the aircraft virtual asset data is virtual asset data corresponding to the application virtual asset value carried in an object weight transfer request for the aircraft 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 airplane to the second device;
Determining a target virtual asset value in the virtual asset values respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine according to the residual virtual asset data;
generating a disassembly prompt message according to the target virtual asset value, and sending the disassembly prompt message to the second device so that the second device can perform asset recovery processing on a target component corresponding to the target virtual asset value according to the disassembly prompt message; the target component comprises the fuselage or the landing gear or the energy providing device or the engine.
5. The method of claim 4, wherein the virtual asset value comprises a fuselage virtual asset value corresponding to the fuselage, a landing gear virtual asset value corresponding to the landing gear, a device virtual asset value corresponding to the energy providing device, and an engine virtual asset value corresponding to an engine;
the determining virtual asset values respectively corresponding to the fuselage, the landing gear, the energy supply device and the engine according to the recovery processing confirmation message includes:
triggering the intelligent contract according to the recovery processing confirmation message, and generating the virtual asset value of the airframe through the intelligent contract, the virtual asset damage rate corresponding to the airframe and the maintenance adjustment reference value corresponding to the airframe;
Generating the virtual asset value of the undercarriage according to the virtual asset damage rate corresponding to the undercarriage and the maintenance adjustment reference value corresponding to the undercarriage;
generating a virtual asset value of the equipment according to the virtual asset damage rate corresponding to the energy providing equipment and the maintenance adjustment reference value corresponding to the energy providing equipment;
and generating the virtual asset value of the engine according to the virtual asset damage rate corresponding to the engine and the maintenance adjustment reference value corresponding to the engine.
6. The method of claim 5, wherein the generating the fuselage virtual asset value by the smart contract, the maintenance adjustment benchmark value corresponding to the fuselage for the virtual asset loss rate corresponding to the fuselage, comprises:
acquiring a value evaluation matrix through the intelligent contract; the elements in the value evaluation matrix are used for representing the value evaluation reference proportion corresponding to the virtual asset damage rate of the airframe and the airframe maintenance adjustment reference value respectively; the virtual asset damage rate of the airframe refers to the virtual asset damage rate corresponding to the airframe; the machine body maintenance adjustment reference value refers to a maintenance adjustment reference value corresponding to the machine body;
Multiplying the virtual asset damage rate of the airframe by a value evaluation reference specific gravity corresponding to the virtual asset damage rate of the airframe to obtain a target virtual asset damage rate of the airframe;
multiplying the value evaluation reference proportion corresponding to the body maintenance adjustment reference value by the body maintenance adjustment reference value to obtain a target body maintenance adjustment reference value;
and acquiring a value generating function, and generating the virtual asset value of the airframe according to the value generating function, the target virtual asset damage rate and the target airframe maintenance adjustment reference value.
7. The method of claim 6, wherein the method further comprises:
if the target component is the airframe, acquiring airframe recovery asset data obtained after the airframe is subjected to asset recovery processing;
determining a difference value between the fuselage recovery asset data and the fuselage virtual asset value, and taking the fuselage recovery asset data as a tag virtual asset value if the difference value is greater than or equal to a difference threshold;
acquiring a loss function, and adjusting the value evaluation matrix according to the loss function, the tag virtual asset value and the fuselage virtual asset value to obtain a target value evaluation matrix; the target value assessment matrix is used for determining a target fuselage virtual asset value of the target fuselage.
8. The method of claim 5, wherein determining a target virtual asset value from the remaining virtual asset data among the virtual asset values respectively corresponding to the fuselage, the landing gear, the energy providing device, and the engine comprises:
matching the fuselage virtual asset value, the landing gear virtual asset value, the equipment virtual asset value and the engine virtual asset value with the remaining virtual asset data, and acquiring M initial virtual asset values from the fuselage virtual asset value, the landing gear virtual asset value, the equipment virtual asset value and the engine virtual asset value according to a matching result; the initial virtual asset value is greater than or equal to the remaining virtual asset data; m is a positive integer;
and acquiring the minimum initial virtual asset value from the M initial virtual asset values, and taking the minimum initial virtual asset value as the target virtual asset value.
9. The method of claim 1, wherein the virtual asset degradation rate comprises a fuselage virtual asset degradation rate corresponding to the fuselage, a landing gear virtual asset degradation rate corresponding to the landing gear, a device virtual asset degradation rate corresponding to the energy providing device, and an engine virtual asset degradation rate corresponding to the engine;
The generating, by the intelligent contract, aircraft voyage data of the aircraft, fuselage history maintenance data of the fuselage, landing gear history maintenance data of the landing gear, equipment history maintenance data of the energy providing device, and engine history maintenance data of the engine, virtual asset damage rates respectively corresponding to the fuselage, the landing gear, the energy providing device, and the engine includes:
generating the virtual asset damage rate of the fuselage through the intelligent contract, the aircraft voyage data and the fuselage history maintenance data;
generating the landing gear virtual asset damage rate through the intelligent contract, the aircraft voyage data and the landing gear historical maintenance data;
generating the equipment virtual asset damage rate through the intelligent contract, the aircraft voyage data and the equipment history maintenance data;
and generating the virtual asset damage rate of the engine through the intelligent contract, the aircraft voyage data and the engine history maintenance data.
10. The method of claim 1, wherein the maintenance adjustment baseline value comprises a fuselage maintenance adjustment baseline value corresponding to the fuselage, a landing gear maintenance adjustment baseline value corresponding to the landing gear, an equipment maintenance adjustment baseline value corresponding to the energy providing equipment, and an engine maintenance adjustment baseline value corresponding to the engine;
The generating, by the intelligent contract, aircraft voyage data of the aircraft, fuselage history maintenance data of the fuselage, landing gear history maintenance data of the landing gear, equipment history maintenance data of the energy providing device, and engine history maintenance data of the engine, maintenance adjustment reference values respectively corresponding to the fuselage, the landing gear, the energy providing device, and the engine includes:
generating the fuselage maintenance adjustment benchmark value by the intelligent contract, the aircraft voyage data and the fuselage history maintenance data;
generating the landing gear maintenance adjustment benchmark value by the intelligent contract, the aircraft voyage data, and the landing gear historical maintenance data;
generating the equipment maintenance adjustment reference value through the intelligent contract, the aircraft voyage data and the equipment history maintenance data;
and generating the engine maintenance adjustment reference value through the intelligent contract, the aircraft voyage data and the engine history maintenance data.
11. The method of claim 1, wherein the generating a virtual asset assessment reference value for the aircraft based on the virtual asset damage rates, the maintenance adjustment reference values, and the maintenance adjustment reference values, respectively, for the fuselage, the landing gear, the energy providing device, and the engine, respectively, comprises:
Generating an aircraft virtual asset damage rate of the aircraft according to the virtual asset damage rates respectively corresponding to the airframe, the landing gear, the energy supply equipment and the engine;
generating an aircraft maintenance adjustment reference value of the aircraft according to the maintenance adjustment reference values respectively corresponding to the aircraft body, the landing gear, the energy supply equipment and the engine;
and determining the aircraft virtual asset damage rate and the aircraft maintenance adjustment reference value as virtual asset evaluation reference values of the aircraft.
12. A data processing apparatus, comprising:
the data query module is used for querying virtual asset data matched with the staged virtual asset value corresponding to the aircraft in the equipment account of the first equipment in the staged contracted compensation time range; the first equipment is provided with article use rights of the aircraft after the transfer of the article attachment rights;
the data acquisition module is used for acquiring virtual asset related data of the aircraft if the virtual asset data inquired in the equipment account of the first equipment does not have the condition of compensating the staged virtual asset value in the staged contracted compensation time range; the virtual asset association data includes aircraft voyage data, fuselage history maintenance data of the fuselage, landing gear history maintenance data of the landing gear, equipment history maintenance data of the energy providing equipment, and engine history maintenance data of the engine;
The contract calling module is used for calling intelligent contracts;
the data generation module is used for generating virtual asset damage rates corresponding to the airframe, the landing gear, the energy providing equipment and the engine respectively through the intelligent contract, the aircraft navigation data of the aircraft, the airframe history maintenance data of the airframe, the landing gear history maintenance data of the landing gear, the equipment history maintenance data of the energy providing equipment and the engine history maintenance data of the engine;
the data generation module is further used for generating maintenance adjustment reference values corresponding to the airframe, the landing gear, the energy providing equipment and the engine respectively through the intelligent contract, the aircraft navigation data of the aircraft, the airframe history maintenance data of the airframe, the landing gear history maintenance data of the landing gear, the equipment history maintenance data of the energy providing equipment and the engine history maintenance data of the engine;
the reference value sending module is used for generating a virtual asset evaluation reference value for the aircraft according to the virtual asset damage rates respectively corresponding to the aircraft body, the landing gear, the energy supply equipment and the engine, the maintenance adjustment reference values respectively corresponding to the aircraft body, the landing gear, the energy supply equipment and the engine, and sending the virtual asset evaluation reference value and the article use permission of the aircraft to a second device so that the second device can conduct asset recovery processing on the aircraft based on the virtual asset evaluation reference value and the article use permission of the aircraft.
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.
CN202011607664.6A 2020-12-29 2020-12-29 Data processing method, device, equipment and readable storage medium Active CN112613788B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011607664.6A CN112613788B (en) 2020-12-29 2020-12-29 Data processing method, device, equipment and readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011607664.6A CN112613788B (en) 2020-12-29 2020-12-29 Data processing method, device, equipment and readable storage medium

Publications (2)

Publication Number Publication Date
CN112613788A CN112613788A (en) 2021-04-06
CN112613788B true CN112613788B (en) 2023-11-21

Family

ID=75249565

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011607664.6A Active CN112613788B (en) 2020-12-29 2020-12-29 Data processing method, device, equipment and readable storage medium

Country Status (1)

Country Link
CN (1) CN112613788B (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108615116A (en) * 2018-05-03 2018-10-02 毕得阳 Resource allocation method and system based on internet and block chain technology
CN110599171A (en) * 2019-09-17 2019-12-20 腾讯科技(深圳)有限公司 Virtual asset processing method and device based on block chain network
CN110599145A (en) * 2019-09-25 2019-12-20 腾讯科技(深圳)有限公司 Data processing method and device based on intelligent contract and storage medium
CN110992052A (en) * 2019-12-05 2020-04-10 腾讯科技(深圳)有限公司 Data processing method and device, electronic equipment and storage medium

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11087591B2 (en) * 2018-12-20 2021-08-10 Sony Interactive Entertainment LLC Anti-fraud cloud gaming blockchain

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108615116A (en) * 2018-05-03 2018-10-02 毕得阳 Resource allocation method and system based on internet and block chain technology
CN110599171A (en) * 2019-09-17 2019-12-20 腾讯科技(深圳)有限公司 Virtual asset processing method and device based on block chain network
CN110599145A (en) * 2019-09-25 2019-12-20 腾讯科技(深圳)有限公司 Data processing method and device based on intelligent contract and storage medium
CN110992052A (en) * 2019-12-05 2020-04-10 腾讯科技(深圳)有限公司 Data processing method and device, electronic equipment and storage medium

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Decentralized Cloud Scheduling via Smart Contracts. Operational constraints and costs;Spataru, A (Spataru, Adrian);2019 SIXTH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS: SYSTEMS, MANAGEMENT AND SECURITY (IOTSMS);全文 *
基于区块链的电能交易平台设计与实现;张栋珀;中国优秀硕士学位论文全文数据库信息科技辑;全文 *

Also Published As

Publication number Publication date
CN112613788A (en) 2021-04-06

Similar Documents

Publication Publication Date Title
CN107240002B (en) Electric power transaction method and device and micro-grid system
CN110602125B (en) Data processing method, device, terminal and storage medium
CN108713209B (en) Management method and system of maintenance station and data management server
TW201810151A (en) Blockchain-implemented method and system
CN110992020A (en) Data processing method based on intelligent contract, related node and storage medium
CN103136623B (en) The online management method of progress payment application
CN112700246B (en) Block chain-based data processing method, device, equipment and readable storage medium
CN112907244B (en) Block chain-based data processing method, device, equipment and readable storage medium
TW201931270A (en) Carbon trading system and carbon trading platform
CN109034806A (en) A kind of token publishing system
CN112241891A (en) Charging transaction management system based on alliance chain
CN108399573A (en) Electronic device, long-range declaration form go out folk prescription method and storage medium
CN108230052A (en) A kind of invoice issuing and method for uploading and system
CN112561660B (en) Asset data processing method, device, equipment and readable storage medium
CN112668783B (en) Aircraft-based data processing method, device, equipment and readable storage medium
CN112613788B (en) Data processing method, device, equipment and readable storage medium
CN108038667A (en) Declaration form generation method, device and equipment
CN115983853A (en) Client side green electricity application service method and system based on block chain and electronic equipment
CN112613784B (en) Block chain-based data processing method, device, equipment and readable storage medium
CN112561198B (en) Block chain-based data processing method, device, equipment and readable storage medium
CN112561384B (en) Engine-based data processing method, device, equipment and readable storage medium
JP2007328748A (en) Salary advance payment system and its method
KR102267842B1 (en) System for managing expense and method using therewith
CN112598466A (en) Agricultural machinery self-service payment leasing method based on alliance chain
CN105046502A (en) F2C and F2B platform based on electronic commerce interaction fission model and method thereof

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant