CN113780779A - Data state control method and system and echelon battery data state control method - Google Patents
Data state control method and system and echelon battery data state control method Download PDFInfo
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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- G06Q—INFORMATION 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
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
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Abstract
The invention discloses a data state control method, a system and a echelon battery data state control method, which comprise the following steps: a blockchain data system comprising a node for verifying transactions in a blockchain; and the client is connected with at least one node, wherein at least one of the client and the blockchain data system is stored with a state machine and first state data which can be traded in the blockchain data system, the state machine comprises a state transition condition set, the first state data is input into the state machine, and the first state data is converted into another state data according to the state transition condition set. The invention can inquire the state and the state change of the system.
Description
Technical Field
The invention belongs to the technical field of block chains, and particularly relates to a data state control method and system and a echelon battery data state control method.
Background
In recent years, global warming and the demand for greenhouse emissions reduction have led to rapid development of electric vehicles worldwide. On the one hand, thanks to the national policy of development, china has been on a global leading level in many aspects of the field of electric vehicles through years of development, especially in the development of popularity and the electric energy storage industry. On the other hand, a large number of power storage batteries of the electric vehicle after being retired are scrapped and discarded. The new energy source with gradient utilization has wide commercial prospect and can be applied to various industries. From the international leading enterprises to the domestic battery enterprises, the national key enterprises in China have active exploration and innovation.
At present, the echelon utilization industry is still in a development state, and a plurality of problems need to be solved urgently, for example, supervision is insufficient, effective utilization ways are few, illegal operation of merchants exists, so that a large number of retired power batteries fall on the market, the use benefit is not high, serious pollution is caused, and the linked effect of manpower and regulations is also achieved. In order to solve the above problems, people actively think of solutions, and the block chain technology enters the visual field of people by the characteristics of time sequence data, high redundancy storage of data, tamper resistance and traceability.
The use of blockchain technology in the echelon utilization industry includes encryption technology, privacy computing technology and distributed computing technology, which can expand the design and use level of industrial applications. The specific requirements and practice control design in the application range of the industry are utilized by designing each echelon through overall planning and induction, and the high requirements of application are achieved through technical means. In the design and use of the federation chain information sharing account book, the method is not limited to the logic and physical design of the network. For the echelon utilization industry, there are some demands, including various requirements on product types, application types, engineering use and application, that information needs to be presented to relevant personnel and various requirements and conditions need to be solved in time.
In view of the above technical problems, it is necessary to provide a technical solution.
Disclosure of Invention
The invention aims to provide a technical scheme for solving the data use problems of a block chain technology in a retired power battery echelon utilization alliance enterprise, including the consensus problem on data, the circulation of data and the use of data, and realizing that various requirements on product types, application types, engineering use and application can present information to related personnel and timely solve various requirements and/or conditions.
To solve the above technical problem, the present application provides a data state control system, including:
a blockchain data system comprising a node for verifying transactions in a blockchain;
a client connected with at least one of the nodes,
at least one of the client and the blockchain data system stores a state machine and first state data which can be traded in the blockchain data system, the state machine comprises a state transition condition set, the first state data is input into the state machine, and the first state data is converted into another state data according to the state transition condition set.
The application also provides a data state control method, which comprises the following steps:
connecting with at least one node in a blockchain data system through a client, wherein the node is used for verifying transactions in the blockchain;
at least one of the client and the blockchain data system stores a state machine and first state data which can be traded in the blockchain data system, the state machine comprises a state transition condition set, the first state data is input into the state machine, and the first state data is converted into another state data according to the state transition condition set.
Further, uplink of the first status data to a block chain by the ue, where the first status data includes a service type, before uplink, the method further includes the following steps:
s101, determining the service type of the first state data;
s102, determining a processing scheme of the first state data according to the service type, wherein the processing scheme comprises a second state machine, and when the service type accords with a state transition condition set of the second state machine, the first state data is converted into second state data;
s103, grouping the data in the second state into blocks;
and S104, carrying out big data analysis on the block according to a block chain control mode and/or a block chain down control mode and obtaining an intelligent contract corresponding to the service type.
Further, the service types include one or more of the following service types: the first service type comprises battery raw material management and battery processing, wherein the battery raw material management comprises the steps of detecting waste batteries and retired power batteries which are transported by a battery supplier and judging whether the waste batteries and the retired power batteries are reused, and the battery processing comprises all processing links of the batteries; the second service type comprises a large energy storage application; a third service type comprises medium and small business and user energy storage; a fourth service type comprising two-wheel vehicle power storage; a fifth service type comprising vehicle-mounted electric vehicle energy storage; and the sixth service type comprises backup energy storage of iron towers and high-speed rail stations.
Further, the transaction of the state data is completed through application of an intelligent contract corresponding to the service type.
Further, the first state data is service transaction data, and the state machine includes the following steps:
s201, determining business transaction data;
s202, determining a trade order, broadcasting the trade order, and sending the broadcast to an endorsement node of a block chain data system;
s203, determining an endorsement node, wherein the endorsement node determines the transaction order through a consensus mechanism;
s204, determining a parallel node, returning a transaction result by the endorsement node, packaging the transaction into a block by the sequencing service node, and sending the block to the accounting node;
s205, completing data updating, and writing the block into a distributed account book after the accounting node verifies that the transaction is correct;
s206, sending the block, and finishing the state updating of the distributed newly added node through a consensus mechanism.
Further, the first state data is converted into another state data by the state machine, and the state machine includes the following steps:
s301, checking the first state data, and when the first state data needs to be encrypted, encrypting and rechecking the first state data;
s302, when the first state data does not need to be encrypted, the state machine outputs second state data.
Further, whether the second state data meet the requirement of the endorsement node is checked, when the second state data meet the requirement of the endorsement node, the second state data are sent to an organization through a private pipeline, and the second state data are converted into third state data; and when the second state data does not meet the requirement of the endorsement node, stopping sending the second state data.
Further, the first state data is converted into another state data by the state machine, and the state machine includes the following steps:
s401, when defining the first state data transaction, paying fee, defining the first state data transaction by a workload certification mechanism and a digital asset model, and realizing the transaction of the first state data by a decentralized transaction process, wherein the first state data is converted into second state data;
s402, when the first state data transaction is defined, payment is not needed, the first state data is published through a consensus mechanism, and the first state data is converted into third state data.
Further, the first state data is converted into another state data by the state machine, and the state machine includes the following steps:
s501, when the first state data are judged to be processed on the block chain, the first state data are published through a consensus mechanism, and the first state data are converted into second state data;
s502, when the first state data is judged to be processed under the link, the first state data is processed through an enterprise resource planning system, and the first state data is converted into third state data.
The application also provides a echelon battery data state control method, which comprises any one of the data state control methods, wherein the first state data comprises one or more of parameter information, original factory information and use information of the echelon battery, and the second state data comprises one or more of parameter information, source information, applicable scene information and transaction information of the echelon battery.
By using the data state control system provided by the application, the data state and state change of the block chain technology in the retired power battery echelon utilization alliance enterprise can be monitored, visual information can be presented according to the data state change, relevant personnel can know various requirements and/or conditions of the echelon utilization alliance enterprise on product types, application types and engineering use according to the information, and the relevant personnel can timely solve the various requirements and/or conditions.
Drawings
FIG. 1 is a diagram illustrating a state machine data update;
FIG. 2 is a block chain data system;
FIG. 3 is a block chain data control flow diagram;
FIG. 4 is a flow chart of the service status data processing;
FIG. 5 is a flow chart of transaction data and privacy data processing;
FIG. 6 is a flow diagram of distributed network selection;
fig. 7 is a flowchart of the gradation battery element data processing.
Detailed Description
The present invention will be described in detail with reference to the specific embodiments shown in the drawings, which are not intended to limit the present invention, and structural, methodological, or functional changes made by those skilled in the art according to the specific embodiments are included in the scope of the present invention.
The invention aims to provide a technical scheme for solving the problems of data use, including data consensus, data circulation and data use, of a block chain technology in a power battery retirement echelon utilization alliance enterprise. In order to achieve the purpose, the invention builds a model according to the change of the data state quantity and the tracking view, and mines the significance of the existence of the block chain data. The specific implementation method is as follows.
The invention provides a data state control system, comprising: a blockchain data system and a client. The blockchain data system comprises nodes, and the nodes are used for verifying transactions in the blockchain. The client is connected with at least one node, at least one of the client and the blockchain data system is stored with a state machine and first state data which can be traded in the blockchain data system, the state machine comprises a state transition condition set, the first state data is input into the state machine, and the first state data is converted into another state data according to the state transition condition set.
The nodes mainly comprise the following four types: the system comprises a client node, a common node, a sequencing service node and a security certificate issuing server node. The Peer nodes are called ordinary nodes, and can be divided into a commit node (commit), an endorsement node (endorser), a master node (leader) and an anchor node (anchor) according to roles assumed by the Peer nodes. And the ordering service node (Orderer) is used for packaging the transaction and providing an ordering service. The Peer nodes and the Orderer nodes form a block chain network which is used for storing block data and operating maintenance codes.
Data updates in the echelon federation are recorded in the nodes of the federation through a consensus mechanism by virtue of the transaction data. The state data at least comprises two states, wherein the first state data in the first state is recorded in the nodes of the alliance after passing through the consensus mechanism, the first state data is changed into another state data in another state, and the another state data can be various and respectively correspond to the output of the state machine under different state transition conditions.
As shown in fig. 1, as an alternative implementation, the data state control system includes a blockchain data system and a client. The blockchain data system comprises nodes, and transactions in the blockchain are verified through the nodes. The client is connected with at least one node, and at least one of the client and the blockchain data system stores a state machine and first state data which can be traded in the blockchain data system. The state machine comprises a set of state transition conditions, first state data is input to the state machine, and the first state data is converted into another state data according to the set of state transition conditions.
As an alternative implementation, T represents a state of the state machine, T represents time (time), T (T) represents first state data of the state machine at time T, and T (T +1) represents other state data of the state machine at time (T + 1).
For a finite State machine fsm (fine State machine), the following definitions can be used:
(Σ, S0, δ, F), where Σ represents the input letter (a finite, not empty set of tokens). S represents a finite and non-empty set of states. S0 denotes the initial state, which is an element of S. δ represents a state transition equation, for example: δ: s X Σ → S. F denotes the set of final states, a subset of S (possibly empty).
The transition definition for the state can be optionally represented as follows:
FromState, the starting state of this transition;
ToState, the end state of this transition;
condition: a condition that can check whether the conversion is true (validity);
callback-optional function that calls when a transition state occurs.
As shown in fig. 2, as an alternative implementation, the client is connected to at least one node, and the client links the state data to the block chain, and the node processes the state data and aggregates the state data into blocks. The status data may include: the data comprises echelon product data, energy storage product data, two-wheel vehicle power system data, commercial household energy storage data, vehicle-mounted data and backup system data, and the data can respectively correspond to different service types. For example, the present invention classifies service types into at least six categories, including: the first service type comprises battery raw material management and battery processing, wherein the battery raw material management comprises the steps of detecting waste batteries and retired power batteries which are transported by batteries and judging whether the waste batteries and the retired power batteries are reused, and the battery processing comprises all processing links of the batteries; the second service type comprises a large energy storage application; a third service type comprises medium and small business and user energy storage; a fourth service type comprising two-wheel vehicle power storage; a fifth service type comprising vehicle-mounted electric vehicle energy storage; and the sixth service type comprises backup energy storage of iron towers and high-speed rail stations.
As shown in fig. 3, as an alternative implementation, uplink first status data to a block chain by a client, where the first status data includes a service type, and before uplink, the method further includes the following steps:
s101, determining the service type of the first state data.
S102, determining a processing scheme of the first state data according to the service type, wherein the processing scheme comprises a second state machine, and when the service type accords with a state transition condition set of the second state machine, the first state data is converted into second state data.
And S103, grouping the data in the second state into blocks.
And S104, carrying out big data analysis on the block according to a block chain control mode and/or a block chain down control mode and obtaining an intelligent contract corresponding to the service type.
Wherein the transaction of the state data is completed by application of an intelligent contract corresponding to the type of service.
Taking the state data of the first service type as an example, the method for controlling the data state provided by the invention is further explained through a state machine to control the block chain data. For the first service data, the first service type comprises battery raw material management and battery processing, and the battery raw material management comprises detecting the discarded batteries and the retired power batteries which are transported by the battery supplier and judging whether to recycle the batteries. The ex-service power battery echelon utilization is to firstly inspect and screen the ex-service power battery so as to repair and reassemble the safe, reliable and high-consistency battery core. Because the sources of the batteries are different, and the types, the capacities, the specifications and the charging and discharging modes of the batteries are different, a processing scheme for echelon utilization needs to be formulated respectively after the batteries are detected. As an alternative implementation manner, the echelon utilization scenario that the retired power battery can enter is determined according to the level of the remaining capacity of the battery. For example, for a retired power battery with a battery residual capacity of 90% -80%, the retired power battery can enter a charging station energy storage scene; the battery with 80% -65% of residual capacity can enter a commercial energy storage scene; and for the retired power battery with the battery residual capacity of 15% -0%, a scrapping and dismantling link is required. Each scene has a corresponding retired power battery processing scheme.
In the present application, the first type of service is aimed at managing the production of battery echelons and the source of decommissioned power batteries. The first state data input by the system includes one or more of the following information: echelon battery source tracking information, scheme tracking information of the sorted batteries, implementation process tracking information of the schemes, effect analysis, product prediction (application of artificial intelligence or big data mining), trend data record in the implementation process of the battery schemes, and the trend data records are original product data records. But also a representation of the characteristics of the recording, such as the speed of data generation and/or increase.
The second state data output by the system comprises: the control of the source of the raw materials, the control of the produced product and the tracing bottom layer application of the product are finished.
As an alternative implementation, the system provided herein accomplishes control of the source of raw materials. The echelon battery source tracking information in the first status data includes information about the producer of the echelon battery, information about the transporter, and information about the consumer obtained from the blockchain. In a blockchain network, the echelon battery source tracking information is continuously updated as the echelon battery transactions proceed. The system provided by the application enables the first state data to be converted into the second state data by continuously or periodically aggregating information about the echelon battery sources in the blockchain network.
Similar to the production of echelon batteries for different services. And finishing the complete control process of the flow.
As an optional implementation manner, for the second service type, the first state data input by the system includes:
contract information, client information, time information, project name, serial number, unique hash code of the contract, network management type of the Internet of things, gateway ID, energy storage master control, slave control information, remote control and upgrading, alarming and recording.
The second state data output by the system comprises: intelligent contract application to energy storage projects.
As an optional implementation manner, for the third service type, the first state data input by the system includes:
contract ID, operating utility, regional agent, load shifting application data, time and business customer data records, and the like.
The second state data output by the system comprises: intelligent contract application to services.
As an optional implementation manner, for the fourth service type, the first state data input by the system includes: the system is based on the gateway type, name, network management ID, operator, data, alarm, record and other information.
The second state data output by the system comprises: intelligent contract application to services.
As an optional implementation manner, for the fifth service type, the first state data input by the system includes:
the method comprises the following steps of application to a complete vehicle scheme, data recording, and data analysis and use. For example, the system predicts battery mileage data based on vehicle number plate, internet of things gateway ID, manufacturer, operator, underlying information, alarm, GPS tracking data.
The second state data output by the system comprises: and the whole industry runs a platform and controls application.
As an optional implementation manner, for the sixth service type, the first state data input by the system includes: the system is based on project contract coding, hash coding, internet of things gateway, battery control data and the like, parameters, maintenance information, product record replacement, completed manual record and the like.
The second state data output by the system comprises: federation chain intelligent contract application for services.
As shown in fig. 4, as an optional implementation manner, the data state control method provided by the present invention further includes the following steps:
s201, determining business transaction data.
S202, determining a trade order, broadcasting the trade order, and sending the broadcast to an endorsement node of the block chain data system.
And S203, determining an endorsement node, wherein the endorsement node determines a transaction order through a consensus mechanism.
And S204, determining the parallel nodes, returning a transaction result by the endorsement node, packaging the transaction into a block by the sequencing service node, and sending the block to the accounting node.
And S205, completing data updating, and writing the block into the distributed account book after the accounting node verifies that the transaction is correct.
And S206, sending the block, and finishing the state updating of the distributed newly-added node through a consensus mechanism.
As shown in fig. 5, as an alternative implementation manner, the data state control method provided by the present invention implements processing of transaction data and private data through a state machine, where the state machine includes the following steps:
s301, checking the first state data, and when the first state data needs to be encrypted, encrypting and rechecking the first state data.
S302, when the first state data does not need to be encrypted, the state machine outputs second state data.
S303, checking whether the second state data meets the requirement of the endorsement node, and when the second state data meets the requirement of the endorsement node, sending the second state data to a mechanism organization through a private pipeline, and converting the second state data into third state data; and when the second state data does not meet the requirement of the endorsement node, stopping sending the second state data.
As shown in fig. 6, as an optional implementation manner, the data state control method provided in the present invention implements selection of a distributed network mechanism through a state machine, where the state machine includes the following steps:
s401, when the first state data transaction is defined, the fee is required to be paid when the first state data transaction is defined through a workload certification mechanism and a digital asset model, the transaction of the first state data is realized through a decentralized transaction process, and the first state data is converted into second state data;
s402, when the first state data transaction is defined, the payment is not needed, the first state data is published through a consensus mechanism, and the first state data is converted into third state data.
In order to avoid the phenomena of data precipitation, data leakage and the like in the data asset transaction process, a decentralized transaction mechanism is adopted in a digital asset transaction system based on a block chain. Decentralized transactions ensure that only digital asset buyers can read the transmitted data content by point-to-point data transmission and using asymmetric encryption technology in the whole transmission process. Furthermore, what the entire block chain based digital asset transaction system provides is only one transaction channel, and only the encrypted data index is kept in the public area, and the index contains the HASH value of the subject identification ID, the subject data description, the HASH of the data content, the provider public key data, the data price, and the provider private key signature, which are included in the other state data after the first state data is subjected to the state machine conversion.
As shown in fig. 7, as an alternative implementation manner, the data state control method provided by the present invention implements processing of the echelon battery element data in the echelon center through a state machine, where the state machine includes the following steps:
s501, when the first state data are judged to be processed on the block chain, the first state data are published through a consensus mechanism, and the first state data are converted into second state data;
s502, when the first state data is judged to be processed under the link, the first state data is processed through the enterprise resource planning system, and the first state data is converted into third state data.
After publishing the first status data, all nodes in the blockchain can verify the validity and validity of the first status data, and then achieve consensus through a consensus mechanism and add the first status data to the block. At this time, the first state data is converted into the second state data.
The enterprise resource planning management system is a management platform which is established on the basis of information technology and takes a systematic management idea, namely enterprise decision and employee provision of a decision operation means. An enterprise resource planning management system is an enterprise management information system that can provide cross-regional, cross-department, and even cross-company integration of real-time information. The enterprise resource planning management system is not only software but also a management idea, and realizes the integration of internal resources of an enterprise and external resources related to the enterprise. The method realizes resource optimization and sharing by closely integrating people, property, production, supply and sale, and corresponding logistics, information flow, fund flow, management flow, value added flow and the like of enterprises through software.
The application also provides a echelon battery data state control method, which comprises any one of the data state control methods, wherein the first state data comprises one or more of parameter information, original factory information and use information of the echelon battery, and the second state data comprises one or more of parameter information, source information, applicable scene information and transaction information of the echelon battery.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that the following descriptions are provided for illustration and example only and not for the purpose of limiting the invention as defined by the appended claims: rather, the invention is intended to cover alternatives, modifications, substitutions, combinations and simplifications which may be equally effective without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A data state control system, comprising:
a blockchain data system comprising a node for verifying transactions in a blockchain;
a client connected with at least one of the nodes,
at least one of the client and the blockchain data system stores a state machine and first state data which can be traded in the blockchain data system, the state machine comprises a state transition condition set, the first state data is input into the state machine, and the first state data is converted into another state data according to the state transition condition set.
2. A data state control method, characterized by: comprises the steps of
Connecting with at least one node in a blockchain data system through a client, wherein the node is used for verifying transactions in the blockchain;
at least one of the client and the blockchain data system is stored with a state machine and first state data which can be traded in the blockchain data system, the state machine comprises a state transition condition set, the first state data is input into the state machine, and the first state data is converted into another state data according to the state transition condition set;
uplink, by the ue, the first status data to a block chain, where the first status data includes a service type, and before uplink, the method further includes the following steps:
s101, determining the service type of the first state data;
s102, determining a processing scheme of the first state data according to the service type, wherein the processing scheme comprises a second state machine, and when the service type accords with a state transition condition set of the second state machine, the first state data is converted into second state data;
s103, grouping the data in the second state into blocks;
and S104, carrying out big data analysis on the block according to a block chain control mode and/or a block chain down control mode and obtaining an intelligent contract corresponding to the service type.
3. The data state control method of claim 2, wherein the traffic types include one or more of the following traffic types: the first service type comprises battery raw material management and battery processing, wherein the battery raw material management comprises the steps of detecting waste batteries and retired power batteries which are transported by a battery supplier and judging whether the waste batteries and the retired power batteries are reused, and the battery processing comprises all processing links of the batteries; the second service type comprises a large energy storage application; a third service type comprises medium and small business and user energy storage; a fourth service type comprising two-wheel vehicle power storage; a fifth service type comprising vehicle-mounted electric vehicle energy storage; and the sixth service type comprises backup energy storage of iron towers and high-speed rail stations.
4. The data state control method of claim 3, wherein: and completing the transaction of the state data through the application of the intelligent contract corresponding to the service type.
5. The data state control method of claim 2, wherein the first state data is business transaction data, and the state machine comprises the steps of:
s201, determining business transaction data;
s202, determining a trade order, broadcasting the trade order, and sending the broadcast to an endorsement node of a block chain data system;
s203, determining an endorsement node, wherein the endorsement node determines the transaction order through a consensus mechanism;
s204, determining a parallel node, returning a transaction result by the endorsement node, packaging the transaction into a block by the sequencing service node, and sending the block to the accounting node;
s205, completing data updating, and writing the block into a distributed account book after the accounting node verifies that the transaction is correct;
s206, sending the block, and finishing the state updating of the distributed newly added node through a consensus mechanism.
6. The data state control method of claim 2, wherein the first state data is converted to another state data by the state machine, the state machine comprising the steps of:
s301, checking the first state data, and when the first state data needs to be encrypted, encrypting and rechecking the first state data;
s302, when the first state data does not need to be encrypted, the state machine outputs second state data.
7. The data state control method of claim 6, wherein:
whether the second state data meet the requirement of an endorsement node is checked, when the second state data meet the requirement of the endorsement node, the second state data are sent to a mechanism organization through a private pipeline, and the second state data are converted into third state data; and when the second state data does not meet the requirement of the endorsement node, stopping sending the second state data.
8. The data state control method of claim 2, wherein the first state data is converted to another state data by the state machine, the state machine comprising the steps of:
s401, when defining the first state data transaction, paying fee, defining the first state data transaction by a workload certification mechanism and a digital asset model, and realizing the transaction of the first state data by a decentralized transaction process, wherein the first state data is converted into second state data;
s402, when the first state data transaction is defined, payment is not needed, the first state data is published through a consensus mechanism, and the first state data is converted into third state data.
9. The data state control method of claim 2, wherein the first state data is converted to another state data by the state machine, the state machine comprising the steps of:
s501, when the first state data are judged to be processed on the block chain, the first state data are published through a consensus mechanism, and the first state data are converted into second state data;
s502, when the first state data is judged to be processed under the link, the first state data is processed through an enterprise resource planning system, and the first state data is converted into third state data.
10. A echelon battery data state control method is characterized by comprising the following steps: the data state control method according to any one of claims 2 to 9, wherein the first state data comprises one or more of parameter information, original factory information and use information of the echelon battery, and the second state data comprises one or more of parameter information, source information, applicable scenario information and transaction information of the echelon battery.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111010474.0A CN113780779A (en) | 2021-08-31 | 2021-08-31 | Data state control method and system and echelon battery data state control method |
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