CN112819371A - Block chain-based distributed power scheduling method and system - Google Patents
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Abstract
The invention provides a distributed power scheduling method and system based on a block chain, which realize the organic combination of a block chain technology and distributed power scheduling and effectively improve the participation degree, scheduling efficiency and reliability of the distributed power. The method comprises the steps of broadcasting data collected by each sensor to each block chain node of a block chain network one by one; data synchronization is carried out among all block chain nodes, so that all the block chain nodes have backup of complete data; according to a preset distributed power scheduling optimization model, promoting each block chain link point to participate in distributed computation through a block chain PoW consensus algorithm and an excitation mechanism to obtain an economic optimal scheduling plan; and coordinately controlling each distributed power supply node to participate in grid connection according to the economic optimal scheduling plan, and finishing the scheduling of the distributed power supply based on the block chain.
Description
Technical Field
The invention relates to the field of distributed power supply scheduling, in particular to a distributed power supply scheduling method and system based on a block chain.
Background
In recent years, distributed energy such as photovoltaic and wind power generation is rapidly developed, electric vehicles, flexible loads and the like are increased on a large scale, randomness and fluctuation of the distributed energy bring great challenges to a power grid, so that the problem that how to match supply and demand after a distributed power supply is connected into a distribution network is solved, individual privacy is protected, the absorption capacity of the distributed power supply is improved, the operation and maintenance cost is reduced, and the problem that needs to be solved urgently is solved.
The traditional distributed power scheduling adopts a centralized scheduling mode, which can acquire accurate information from complete data to improve decision accuracy under an ideal state, but uploading all measured data is difficult to realize along with the expansion of a modern power grid and the great increase of the number of measurement sensor nodes, and the decision speed of a scheduling center is sharply reduced due to large-scale data processing. In addition, the traditional centralized scheduling mode still has the problems that operation records are easy to be tampered, external supervision is unfavorable, the responsibility tracing mode is not reliable and the like.
The block chain has the characteristics of decentralization, transparent data disclosure, non-falsification and the like, can be essentially understood as a reliable distributed database, can meet various requirements of distributed application, and can be used as a bottom layer technology for supporting various distributed power applications.
Typical studies currently applying blockchain technology in the power industry are the following: etheridge et al realize distrust removal of the PHEV charging process based on intelligent contracts and distributed book technology, and solve the problems of high deployment difficulty of PHEV charging facilities, non-standard charging protocols, poor charging and discharging interactivity and the like; moffaert et al propose to utilize virtual currency to carry out the electric power trade of the electric wire netting, realize the automation of the electric power trade course on the basis of the intelligent contract; ohang et al applied blockchain technology to the direct purchase of electricity by large consumers.
However, the application and adaptation of the blockchain in the existing power system are all focused on the aspect of power transaction, so that the safety and reliability of the blockchain are guaranteed, the decentralization is realized, and no combination and application of power scheduling in the power system are provided.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a distributed power scheduling method and system based on a block chain, so that the organic combination of the block chain technology and the distributed power scheduling is realized, and the participation degree, the scheduling efficiency and the reliability of the distributed power are effectively improved.
The invention is realized by the following technical scheme:
a distributed power scheduling method based on a block chain comprises the following steps,
broadcasting data acquired by each sensor to each block chain node of a block chain network one by one;
data synchronization is carried out among all block chain nodes, so that all the block chain nodes have backup of complete data;
according to a preset distributed power scheduling optimization model, promoting each block chain link point to participate in distributed computation through a block chain PoW consensus algorithm and an excitation mechanism to obtain an economic optimal scheduling plan;
and coordinately controlling each distributed power supply node to participate in grid connection according to the economic optimal scheduling plan, and finishing the scheduling of the distributed power supply based on the block chain.
Preferably, the preset distributed power scheduling optimization model, wherein the objective function is a minimum cost function of the running unit and a constraint condition formula thereof is as follows:
x＝{P，θ}
wherein x comprises the clear condition P of all running unitsnPower angle theta of sum bus voltagek；an，bn，cnRespectively representing secondary cost function parameters of the running unit; h (x) represents a constraint equation part; g (x) represents a constrained inequality part;
represents the load on bus k; xkjRepresents the reactance between bus k and bus j;
representing the maximum output value of the unit;
representing the capacity between the bus bars; omegakA bus bar set representing all the connecting bus bars k; omegaNRepresenting a set of all blockchain nodes; omegaGRepresenting all running unit sets; omegaLAll the buses are collected; thetajRepresenting the voltage power angle of bus j.
Further, the lagrangian solution of the minimum cost function of the running unit is as follows:
wherein: λ and μ are expressed as lagrange multipliers.
And further, judging a result of Lagrangian solution through a KKT first-order necessity condition of inequality constraint, wherein the specific KKT first-order necessity condition is as follows:
preferably, the method for scheduling and optimizing the distributed power supply includes the steps of prompting each block chain link point to participate in distributed computation through a block chain PoW consensus algorithm and an excitation mechanism according to a preset distributed power supply scheduling optimization model to obtain an economically optimal scheduling plan,
according to the calculation tasks issued by the task nodes, distributed calculation is respectively carried out on each block link point through a preset distributed power supply scheduling optimization model, and the calculation tasks are completed;
sequentially verifying whether the broadcast result of the block chain nodes completing the calculation task is correct or not through a PoW consensus algorithm; obtaining a corresponding economic optimal scheduling plan until a first broadcast result meeting the accuracy requirement is obtained;
according to the excitation mechanism, corresponding excitation is given to the corresponding block link point.
Preferably, each distributed power source node is coordinately controlled to participate in grid connection according to the economic optimal scheduling plan, and the distributed power source scheduling based on the block chain is completed; specifically, the method comprises the following steps of,
before the Nth electric energy demand time period starts, the block chain network firstly clears the excitation which needs to be sent to the block chain nodes in the Nth-1 th time period;
then, a scheduling calculation task of the (N + 1) th demand time interval is issued in the block chain network, and nodes in the block chain achieve unification on the economic optimal scheduling plan through a POW consensus algorithm;
and after the Nth electric energy demand period begins, coordinately controlling each distributed power supply node to participate in grid connection according to the calculated economic optimal scheduling plan.
A block chain based distributed power scheduling system comprises,
the data acquisition module is used for broadcasting the data acquired by each sensor to each block chain node of the block chain network one by one;
the data synchronization module is used for performing data synchronization among the block chain link points so that each block chain link point has a backup of complete data;
the optimization scheduling module is used for prompting each block chain link point to participate in distributed computation through a block chain PoW consensus algorithm and an excitation mechanism according to a preset distributed power scheduling optimization model so as to obtain an economic optimal scheduling plan;
and the scheduling execution module is used for coordinately controlling each distributed power supply node to participate in grid connection according to the economic optimal scheduling plan so as to finish the distributed power supply scheduling based on the block chain.
Preferably, the optimized scheduling module is provided with an intelligent contract for realizing the autonomous coordination control of the distributed power supply through the scheduling execution module; the intelligent contract specifically comprises the following steps of,
according to the calculation tasks issued by the task nodes, distributed calculation is respectively carried out on each block link point through a preset distributed power supply scheduling optimization model, and the calculation tasks are completed;
sequentially verifying whether the broadcast result of the block chain nodes completing the calculation task is correct or not through a PoW consensus algorithm; obtaining a corresponding economic optimal scheduling plan until a first broadcast result meeting the accuracy requirement is obtained;
according to the excitation mechanism, corresponding excitation is given to the corresponding block link point.
A computer device, comprising:
a memory for storing a computer program;
a processor for implementing the block chain based distributed power scheduling method as described above when executing the computer program.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a blockchain-based distributed power scheduling method as described above.
Compared with the prior art, the invention has the following beneficial technical effects:
the invention improves the participation degree of the distributed power supply based on a block chain excitation mechanism; based on the characteristic that the block chain cannot be tampered, the scheduling record can be traced, and the problem that the responsibility tracing mode is unreliable is solved; data acquired by each sensor is broadcasted to each block chain node, an objective distributed power dispatching economic optimal model is established by combining the characteristics of incapability of tampering and traceability of the block chain and the like, a PoW consensus algorithm is utilized, a distributed power coordinated dispatching strategy is realized, finally, the block chain technology and the distributed power dispatching are organically combined, the participation degree, dispatching efficiency and reliability of the distributed power are effectively improved, and clean production and near consumption of energy are promoted.
Furthermore, the automation of the distributed power supply scheduling process is realized through an intelligent contract in the optimized scheduling process, and the scheduling efficiency is improved.
Drawings
FIG. 1 is a flow chart of a distributed power scheduling method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating cooperation of three stages of the distributed power scheduling method according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating an optimized scheduling process according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the block formation process in the example of the present invention;
fig. 5 is a schematic diagram of a power distribution network structure in the simulation test according to the embodiment of the present invention.
Detailed Description
The present invention will now be described in further detail with reference to specific examples, which are intended to be illustrative, but not limiting, of the invention.
Due to the characteristics of randomness and volatility and the susceptibility to the influence of the environment, the traditional centralized scheduling mode has the problems of low participation degree of nodes of the distributed power supply, low scheduling efficiency, difficult responsibility pursuit and the like. The excitation mechanism, the consensus mechanism and the decentralization characteristic of the block chain technology also provide research direction and reference basis for the distributed power scheduling optimization problem. The block chain technology can change the current centralized scheduling mode, and by means of the characteristics of decentralization, data non-falsification and the like, the trust barrier can be broken, and safe and efficient distributed power scheduling is realized.
Accordingly, the present invention provides a block chain based distributed power scheduling method, as shown in fig. 1, which includes,
broadcasting data acquired by each sensor to each block chain node of a block chain network one by one;
data synchronization is carried out among all block chain nodes, so that all the block chain nodes have backup of complete data;
according to a preset distributed power scheduling optimization model, promoting each block chain link point to participate in distributed computation through a block chain PoW consensus algorithm and an excitation mechanism to obtain an economic optimal scheduling plan;
and coordinately controlling each distributed power supply node to participate in grid connection according to the economic optimal scheduling plan, and finishing the scheduling of the distributed power supply based on the block chain.
Specifically, the above process can be divided into three stages, as shown in fig. 2,
the first stage, data acquisition stage, based on the distributed and non-falsifiable characteristics of the block chain, ensures the integrity and safety of the acquired data.
The data acquisition process is designed based on the distributed characteristics of the block chain, various sensor nodes are connected into the block chain, the traditional mode that a dispatching center acquires data of all the nodes is different, the sensor nodes broadcast the acquired data to the block chain network one by one, and the nodes perform data synchronization in an idle state. Ideally, each node in the blockchain has a copy of the complete data. The method can acquire the most accurate information from the complete data to improve the decision correctness. And the block chain technology is not capable of being tampered, so that the risk of data tampering in the traditional data centralized acquisition mode can be effectively avoided.
And in the second stage, the dispatching stage is optimized, an objective distributed power supply dispatching economic model is established, and each distributed power supply node is promoted to obtain an economically optimal dispatching plan through calculation of a POW consensus algorithm by a cooperative and effective incentive mechanism before the next dispatching is started.
In the optimization scheduling stage, a distributed power supply scheduling optimization model is established according to an objective function with the lowest operation cost, and each block chain link point is promoted to participate in distributed computation under an excitation mechanism through a block chain PoW consensus algorithm, so that an economically optimal scheduling plan is obtained. The optimized scheduling process is shown in fig. 3.
The objective function in the distributed power dispatching optimization model is the minimum cost function of the running unit and the constraint condition formula thereof is as follows:
x＝{P，θ}
wherein x comprises the clear condition P of all unitsnAngle of power of sum bus voltage thetak；an，bn，cnRespectively representing secondary cost function parameters of the unit; h (x) represents a constraint equation part; g (x) represents a constrained inequality part;
represents the load on bus k; xkjRepresenting the reactance between the bus bars;
representing the maximum output value of the unit;
representing the capacity between the bus bars; omegakA bus bar set representing all the connecting bus bars k; omegaNRepresenting a set of all nodes; omegaGRepresenting all the unit sets; omegaLAll the bus bars are collected.
The lagrangian solution for the minimum cost function of the running unit is as follows:
where λ and μ are expressed as lagrange multipliers.
Judging the result of Lagrange solution through a KKT first-order necessity condition, wherein the specific KKT first-order necessity condition is as follows:
and the third stage is a decision execution stage, wherein the distributed power supply scheduling process is compiled into an intelligent contract, so that the automation of the scheduling process is realized. The method effectively avoids the subjective influence of manual scheduling in the traditional scheduling mode, and the flow of the distributed power supply cooperative scheduling method is shown in figure 2.
In the distributed power supply scheduling process, firstly, a task node issues a scheduling model calculation task, then, whether the result of block link point broadcasting of the first completed task is correct is verified through a PoW consensus algorithm, if the accuracy requirement is met, an optimal scheduling scheme is obtained, and a winning node obtains corresponding excitation. The whole process of the distributed power supply scheduling is compiled into an intelligent contract, and the autonomous coordination control of the distributed power supply is realized. The process of task consensus for scheduling in an electric energy demand period is as follows: before the Nth electric energy demand period begins, the block chain network firstly clears the excitation which needs to be issued to the accounting node in the Nth-1 th period, then the scheduling calculation task of the (N + 1) th demand period is issued in the block chain network, and the nodes in the block chain achieve unification on the optimal scheduling scheme through a POW consensus algorithm. The above-described blockchain formation process is illustrated in fig. 4. And after the Nth electric energy demand period begins, coordinately controlling each distributed power supply node to participate in grid connection according to the calculated optimal scheduling plan.
The preferred embodiment also provides a block chain-based distributed power scheduling system, comprising,
the data acquisition module is used for broadcasting the data acquired by each sensor to each block chain node of the block chain network one by one;
the data synchronization module is used for performing data synchronization among the block chain link points so that each block chain link point has a backup of complete data;
the optimization scheduling module is used for prompting each block chain link point to participate in distributed computation through a block chain PoW consensus algorithm and an excitation mechanism according to a preset distributed power scheduling optimization model so as to obtain an economic optimal scheduling plan;
and the scheduling execution module is used for coordinately controlling each distributed power supply node to participate in grid connection according to the economic optimal scheduling plan so as to finish the distributed power supply scheduling based on the block chain.
In order to better illustrate the feasibility and the effect of the invention, the electric power transaction simulation test is carried out in a transaction scene of a micro power distribution network accessed by a large number of distributed power supplies through simulation.
The power distribution network architecture employs an IEEE 33 node power distribution system, as shown in fig. 5. Assuming that the node 10 is a balance node and is a power plant with a rated capacity of 500MW, the node 5, the node 16 and the node 30 are distributed power nodes and respectively correspond to a wind driven generator, a photovoltaic generator and a micro turbine; the distributed power source node information is shown in table 1, and the rest nodes are all power utilization nodes. The simulation scene is distributed in a 12: 30-13: 00 time period, the power generation amount in the time period is 323.73MW, the power generation cost is 10.1068eth, and therefore the reference electricity price P in the next time period is 31.2199 (10)-3eth/MW·h)。
An ETH test environment is set up based on an Ubuntu 19.04 system, a Truffle framework is adopted to realize the calling of a front-end interface to bottom layer logic, Go language environment variables are configured, a Geth client is installed, a Solidity language is used for compiling an intelligent contract, information on a chain is acquired and transaction processing is carried out based on a Json-RPC and web3.js interface, the front-end interface provides a user interaction function through an HTML adjustment style, and a private chain is used for simulating the transaction scene of the miniature power distribution network to carry out simulation test.
Table 1 distributed power node information table
Assuming that a situation of accessing a distributed power supply based on a traditional scheduling method is a situation 1, and adopting a distributed power supply scheduling method based on a block chain to perform scheduling and grid connection is a situation 2. Simulation tests were performed for the above two cases, and the results are shown in table 2.
Table 2 simulation test results
| Index (I) | |
|
| Conventional power generation supply power/MW | 277.71 | 272.15 |
| Conventional cost/eth of electricity generation | 4.6084 | 4.2944 |
| Bidding grid-connected capacity/MW of distributed power supply | 77.30 | 72.80 |
| Distributed power source priority grid-connected capacity/MW | 0 | 11.92 |
| Energy scheduling grid connection cost/eth | 2.4731 | 2.3502 |
| Total cost/eth | 7.0815 | 6.6446 |
| Coefficient of unbalance of electric energy | 0.183 | 0.136 |
| Average |
19.9479 | 18.6175 |
And the simulation 2 simultaneously considers the operation total cost, the prior grid-connected capacity of the distributed power supply, the electric energy imbalance coefficient and the average cost price for optimization. Compared with the total cost of the simulation 1, the simulation 2 reduces 6.17%, the priority grid-connected quantity of the clean energy is increased by 3.36%, the total grid-connected quantity of the clean energy is increased by 2.09%, the electric energy imbalance coefficient is reduced by 25.68%, and the average cost price is reduced by 6.67%. According to data results, the distributed power scheduling method based on the block chain can effectively improve the participation degree of the distributed power and promote the production and consumption of clean energy.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. 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 block 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 block diagram block or blocks.
Finally, it should be noted that: although the present invention has been described in detail with reference to the above embodiments, those skilled in the art can make modifications and equivalents to the embodiments of the present invention without departing from the spirit and scope of the present invention, which is set forth in the claims of the present application.
It will be appreciated by those skilled in the art that the invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The embodiments disclosed above are therefore to be considered in all respects as illustrative and not restrictive. All changes which come within the scope of or equivalence to the invention are intended to be embraced therein.
Claims (10)
1. A distributed power scheduling method based on a block chain is characterized by comprising the following steps,
broadcasting data acquired by each sensor to each block chain node of a block chain network one by one;
data synchronization is carried out among all block chain nodes, so that all the block chain nodes have backup of complete data;
according to a preset distributed power scheduling optimization model, promoting each block chain link point to participate in distributed computation through a block chain PoW consensus algorithm and an excitation mechanism to obtain an economic optimal scheduling plan;
and coordinately controlling each distributed power supply node to participate in grid connection according to the economic optimal scheduling plan, and finishing the scheduling of the distributed power supply based on the block chain.
2. The distributed power scheduling method based on the blockchain according to claim 1, wherein the preset distributed power scheduling optimization model is characterized in that an objective function is a minimum cost function of the running unit and a constraint condition formula thereof is as follows:
x＝{P，θ}
wherein x comprises the clear condition P of all running unitsnPower angle theta of sum bus voltagek；an，bn，cnRespectively representing secondary cost function parameters of the running unit; h (x) represents a constraint equation part; g (x) represents a constrained inequality part;
represents the load on bus k; xkjRepresents the reactance between bus k and bus j;
representing the maximum output value of the unit;
representing the capacity between the bus bars; omegakA bus bar set representing all the connecting bus bars k; omegaNRepresenting a set of all blockchain nodes; omegaGRepresenting all running unit sets; omegaLAll the buses are collected; thetajRepresenting the voltage power angle of bus j.
3. The block chain-based distributed power scheduling method according to claim 2, wherein the lagrangian solution of the minimum cost function of the running unit is as follows:
wherein: λ and μ are expressed as lagrange multipliers.
4. The distributed power scheduling method based on the block chain as claimed in claim 3, wherein the result of the lagrangian solution is determined by using an inequality constrained KKT first order requirement, and the specific KKT first order requirement is as follows:
5. the method for block chain-based distributed power scheduling of claim 1, wherein the method for block chain-based distributed power scheduling optimization according to a preset distributed power scheduling optimization model, through a block chain PoW consensus algorithm and an excitation mechanism, causes each block chain node to participate in distributed computation, and obtains an economically optimal scheduling plan, specifically comprising,
according to the calculation tasks issued by the task nodes, distributed calculation is respectively carried out on each block link point through a preset distributed power supply scheduling optimization model, and the calculation tasks are completed;
sequentially verifying whether the broadcast result of the block chain nodes completing the calculation task is correct or not through a PoW consensus algorithm; obtaining a corresponding economic optimal scheduling plan until a first broadcast result meeting the accuracy requirement is obtained;
according to the excitation mechanism, corresponding excitation is given to the corresponding block link point.
6. The distributed power supply scheduling method based on the block chain according to claim 1, wherein each distributed power supply node is coordinately controlled to participate in grid connection according to the economic optimal scheduling plan, and the distributed power supply scheduling based on the block chain is completed; specifically, the method comprises the following steps of,
before the Nth electric energy demand time period starts, the block chain network firstly clears the excitation which needs to be sent to the block chain nodes in the Nth-1 th time period;
then, a scheduling calculation task of the (N + 1) th demand time interval is issued in the block chain network, and nodes in the block chain achieve unification on the economic optimal scheduling plan through a POW consensus algorithm;
and after the Nth electric energy demand period begins, coordinately controlling each distributed power supply node to participate in grid connection according to the calculated economic optimal scheduling plan.
7. A distributed power scheduling system based on a block chain is characterized by comprising,
the data acquisition module is used for broadcasting the data acquired by each sensor to each block chain node of the block chain network one by one;
the data synchronization module is used for performing data synchronization among the block chain link points so that each block chain link point has a backup of complete data;
the optimization scheduling module is used for prompting each block chain link point to participate in distributed computation through a block chain PoW consensus algorithm and an excitation mechanism according to a preset distributed power scheduling optimization model so as to obtain an economic optimal scheduling plan;
and the scheduling execution module is used for coordinately controlling each distributed power supply node to participate in grid connection according to the economic optimal scheduling plan so as to finish the distributed power supply scheduling based on the block chain.
8. The system according to claim 7, wherein the optimized scheduling module is provided with an intelligent contract for implementing autonomous coordination control of the distributed power supply through the scheduling execution module; the intelligent contract specifically comprises the following steps of,
according to the calculation tasks issued by the task nodes, distributed calculation is respectively carried out on each block link point through a preset distributed power supply scheduling optimization model, and the calculation tasks are completed;
sequentially verifying whether the broadcast result of the block chain nodes completing the calculation task is correct or not through a PoW consensus algorithm; obtaining a corresponding economic optimal scheduling plan until a first broadcast result meeting the accuracy requirement is obtained;
according to the excitation mechanism, corresponding excitation is given to the corresponding block link point.
9. A computer device, comprising:
a memory for storing a computer program;
a processor for implementing the blockchain-based distributed power scheduling method of any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, implements the blockchain-based distributed power scheduling method of any one of claims 1 to 6.
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Cited By (4)
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| CN113882997A (en) * | 2021-08-16 | 2022-01-04 | 国网新源控股有限公司 | Hydroelectric generating set adjusting method and system based on block chain |
| CN113919754A (en) * | 2021-11-18 | 2022-01-11 | 华北电力大学 | Block chain-based distributed state estimation method for comprehensive energy system |
| CN115190123A (en) * | 2022-06-21 | 2022-10-14 | 上海万向区块链股份公司 | Distributed system task scheduling method and system based on intelligent contracts |
| CN117640713A (en) * | 2024-01-25 | 2024-03-01 | 深圳和润达科技有限公司 | RPC-based data processing method and device for chemical composition equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113882997A (en) * | 2021-08-16 | 2022-01-04 | 国网新源控股有限公司 | Hydroelectric generating set adjusting method and system based on block chain |
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| CN117640713A (en) * | 2024-01-25 | 2024-03-01 | 深圳和润达科技有限公司 | RPC-based data processing method and device for chemical composition equipment |
| CN117640713B (en) * | 2024-01-25 | 2024-04-02 | 深圳和润达科技有限公司 | RPC-based data processing method and device for chemical composition equipment |
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