CN112508383A - Power load adjusting system based on block chain - Google Patents
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Abstract
The invention provides a power load adjusting system based on a block chain, which comprises: the N intelligent terminals are used for acquiring power utilization areas, power utilization time and power utilization electric quantity corresponding to the user identity information; the Internet of things management platform is used for acquiring and integrating the electricity utilization areas, the electricity utilization time and the electricity utilization quantity which are acquired by the N intelligent terminals and correspond to the user identity information, and providing the integrated data to the big data platform; the big data platform is used for generating power consumption statistics corresponding to each user based on data transmitted by the Internet of things management platform and generating a power consumption model corresponding to each user based on the power consumption statistics; the block chain platform is used for generating corresponding intelligent contracts for different users based on the power utilization model, and the intelligent contracts specify different speeds of power green currency generation when the users use power in different time periods; and issues power green coins for the user based on the specification of the intelligent contract through the blockchain. The invention can guide the power consumer to actively participate in the power load regulation, and realizes the off-peak power utilization.
Description
Technical Field
The invention relates to the technical field of power utilization management, in particular to a power load adjusting system based on a block chain.
Background
In recent years, the proportion of electricity consumed by the third industry and residents in life is gradually increased, and the short-term contradiction between supply and demand of electric power in a peak, particularly local regional electric power, also exists in a longer period. The power supply party cannot control the power utilization period of the demand party, and blind power supply causes waste of electric power. The demand side does not know the specific time period of the peak period of the power consumption, and passively receives the forced intervention of enterprises to adjust the power load. This results in a situation where customers do not use power during peak hours, even though the enterprise supplies power to a large extent without interruption for 24 hours. The user satisfaction is reduced, and the enterprise does not obtain the corresponding economic return. And governments wish to change the "power usage dominated by the enterprise and government" model, achieving three transitions. Under the background, the combination with the novel enterprise state planning of the internet of things takes the demand side response as the business transformation direction, and the power users are enabled to deeply participate in the links of power grid peak shaving and energy saving and supply increase by relying on a big data technology and a data center station.
Disclosure of Invention
The invention aims to provide a power load adjusting system based on a block chain, so that a user actively participates in power load adjustment, and off-peak power utilization of the user is realized.
The invention provides a power load adjusting system based on a block chain, which comprises:
the N intelligent terminals are used for acquiring power utilization areas, power utilization time and power utilization electric quantity corresponding to the user identity information;
the Internet of things management platform is used for acquiring and integrating the electricity utilization areas, the electricity utilization time and the electricity utilization quantity which are acquired by the N intelligent terminals and correspond to the user identity information, and providing the integrated data to the big data platform;
the big data platform is used for generating power consumption statistics corresponding to each user based on data transmitted by the Internet of things management platform and generating a power consumption model corresponding to each user based on the power consumption statistics;
the block chain platform is used for generating corresponding intelligent contracts for different users based on the power utilization model, and the intelligent contracts specify different speeds of power green currency generation when the users use power in different time periods; and issuing a power green bill for the user based on the specification of the smart contract through the blockchain.
Furthermore, the N intelligent terminals collect the power utilization area, the power utilization time and the power utilization electric quantity corresponding to the user identity information which is registered in the Internet of things management platform and passes the identity authentication.
Furthermore, the internet of things management platform integrates the power utilization region, the power utilization time and the power utilization electric quantity which are acquired by the N intelligent terminals and correspond to the user identity information, and the power utilization region, the power utilization time and the power utilization electric quantity with the same user identity information are collected and fused.
Further, the internet of things management platform converts the integrated data into an interface and provides the interface for the big data platform.
Furthermore, the big data platform performs data cleaning on data transmitted by the Internet of things management platform through the data access service, and stores the obtained result by using the Hadoop platform.
Further, the big data platform constructs a computing component by optimizing a MapReduce, Storm, Spark or Hive open source framework through component packaging based on service requirements, and calculates data stored by the Hadoop platform by using the computing component to generate power consumption statistics corresponding to each user.
Further, the big data platform generates a power utilization model corresponding to each user by using a regression algorithm based on machine learning based on the power utilization statistics.
Further, the Kibana or Grafana is adopted to visually present the corresponding electricity utilization model of each user.
Further, the intelligent contract specifies that the different speeds of the generation of the green coins by the user when the user uses electricity in different time periods are as follows: the generation speed of the electric power green coins is accelerated when the user uses the electricity in the electricity utilization peak period, and the generation speed of the electric power green coins is slowed down or the green coins are not generated when the user uses the electricity in the electricity utilization peak period.
Furthermore, when the electricity utilization habits of the user change, the electricity utilization area, the electricity utilization time and the electricity utilization quantity which are acquired by the intelligent terminal and correspond to the user identity information generate a new intelligent contract through the internet of things management platform, the big data platform and the block chain platform again.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
according to the invention, the Internet of things is adopted to collect the electricity utilization information of the user from the intelligent terminal in real time, the collected data is analyzed and modeled by using a big data technology, and a corresponding intelligent contract is generated based on a block chain technology, so that the power user can be guided to actively participate in power load regulation, and off-peak electricity utilization is realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic diagram of a power load regulation system based on a block chain according to an embodiment of the present invention.
Fig. 2 is a block diagram illustrating a process of generating a green bill of power by a power load regulation system based on a blockchain according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
As shown in fig. 1, the present embodiment provides a power load regulation system based on a block chain, including: n (N is a positive integer) intelligent terminals, an Internet of things management platform, a big data platform and a block chain platform;
the N intelligent terminals are used for acquiring power utilization areas, power utilization time and power utilization electric quantity corresponding to the user identity information; the carrier of the intelligent terminal is an intelligent electric meter which is a data source and can carry out data acquisition in 24 hours, and the acquired data comprises structured data and unstructured data.
The Internet of things management platform is used for acquiring and integrating the electricity utilization areas, the electricity utilization time and the electricity utilization quantity which are acquired by the N intelligent terminals and correspond to the user identity information, and providing the integrated data to the big data platform; the management platform of the internet of things has the functions of acquisition, communication, calculation, analysis and control, realizes data acquisition and full control on the lower part (intelligent terminal), and interacts key operation data on the upper part (big data platform) in real time.
And the big data platform is used for generating power consumption statistics corresponding to each user based on the data transmitted by the Internet of things management platform and generating a power consumption model corresponding to each user based on the power consumption statistics. The big data platform comprises data cleaning, data storage and data calculation, wherein repeated or wrong data are cleaned through the data cleaning, the data storage is realized by utilizing distributed storage big data, the data calculation is realized by obtaining an analysis result (namely electricity utilization statistics) required by modeling (namely generating an electricity utilization model) through the distributed calculation, and then modeling is carried out based on the analysis result.
The block chain platform is used for generating corresponding intelligent contracts for different users based on the power utilization model, and the intelligent contracts specify different speeds of power green currency generation when the users use power in different time periods; and issuing a power green bill for the user based on the specification of the smart contract through the blockchain. The block chain platform converts the power utilization model into an intelligent contract, and the generation of the electric green currency can be automatically completed.
Based on the above, the design concept of the invention is as follows: the 'electric power green currency' is used as an exciting means to guide an electric power user to actively participate in electric power load regulation, so that off-peak power utilization is realized. Aiming at the generation and the use of 'electric power green currency', the Internet of things is adopted to collect the electricity utilization information of a user from an intelligent terminal in real time, the collected data is analyzed and modeled by utilizing a big data technology, and a corresponding intelligent contract is generated based on a block chain technology.
As shown in FIG. 2, the present invention is further explained in detail by the generation flow of the electric green currency as follows:
1. and registering the electric equipment to the Internet of things management platform. That is, what N intelligent terminal gathered is that the user identity information corresponding power consumption region, power consumption time and power consumption electric quantity that has registered and passed identity authentication in thing networking management platform.
2. N intelligent terminal gathers the power consumption region, power consumption time and power consumption electric quantity corresponding to user identity information.
3. The management platform of the Internet of things acquires and integrates the power utilization area, the power utilization time and the power utilization electric quantity which are acquired by the N intelligent terminals and correspond to the user identity information. The N intelligent terminals collect multi-source data, and the multi-source data can be integrated based on an internet of things protocol. It should be noted that, the internet of things management platform integrates the electricity utilization region, the electricity utilization time and the electricity utilization quantity which are acquired by the N intelligent terminals and correspond to the user identity information, and means that the electricity utilization region, the electricity utilization time and the electricity utilization quantity with the same user identity information are collected and fused.
4. The Internet of things management platform converts the integrated data into an interface and provides the interface for the big data platform. The mode of converting the data into the interface can be to extract the data of the integrated data through an internet of things PUSH or gateway PULL strategy and provide various data structures, so that the integrated data is converted into the interface and provided for a big data platform.
5. The big data platform performs data cleaning on data transmitted by the Internet of things management platform through the data access service, and stores the obtained result by using the Hadoop platform. In a Hadoop platform, an HDFS distributed file system is used as a main storage structure, data with low delay and high concurrent access requirements are stored in a distributed column mode, and memory storage based on Hbase is provided for high-performance real-time query. And the data stored by the Hadoop platform is used for data calculation and power utilization model establishment.
6. And the big data platform constructs a computing component by optimizing a MapReduce, Storm, Spark or Hive open source framework through component packaging based on service requirements, and calculates the data stored by the Hadoop platform by using the computing component to generate power consumption statistics corresponding to each user.
And 7, generating a corresponding power utilization model of each user by the big data platform based on the power utilization statistics and by utilizing a regression algorithm based on machine learning. And visually presenting the corresponding electricity utilization model of each user by using Kibana or Grafana.
8, automatically generating corresponding intelligent contracts for different users by the block chain platform in a formal verification mode based on the power utilization model; the smart contract specifies different speeds of generation of the green power currency by the user at different periods of power usage. For example, the generation speed of the electric power green bill is increased when the user uses electricity during the peak period of electricity consumption, whereas the generation speed of the electric power green bill is reduced or no green bill is generated during the peak period of electricity consumption.
And 9, when the user uses the electricity, issuing an electric green bill for the user based on the specification of the intelligent contract through the block chain.
And 10, when the electricity utilization habit of the user is changed, the electricity utilization region, the electricity utilization time and the electricity utilization quantity which are acquired by the intelligent terminal and correspond to the identity information of the user generate a new intelligent contract through the Internet of things management platform, the big data platform and the block chain platform again.
Example (c):
the intelligent terminal is realized by an intelligent ammeter; the Internet of things is developed by using an open-source kaa platform; the big data platform is completed on a Hadoop platform; the blockchain platform is implemented using a fabric hyper book framework. The peak electricity consumption of a user a who resides in a certain area is 12 at noon: 00 to 2: 00 and 18 at night: 30 to 22: 30. the specific working process of the block chain based power load regulation system of the present invention cited in this background is then as follows:
1. the user A is registered on the Internet of things management platform.
2. The intelligent electric meter detects the electricity utilization condition of the user A and collects the specific electricity utilization quantity of the user A in the specific electricity utilization time in one month. And then the data, the user area and the user identity information are transmitted to the Internet of things platform.
3. And integrating the power utilization region, the power utilization time and the power utilization electric quantity of the user A in the Internet of things by using the KAA SDK and the KAA Server in the platform of the Internet of things, and converting the integrated data into an interface through the KAA Server and providing the interface for the big data platform.
4. In a big data platform, collected data of a user A may have the characteristics of being incomplete, noisy and inconsistent, data transmitted by an Internet of things management platform is cleaned through data access service, for example, the most possible power value can be obtained by using a regression analysis method to fill up missing values, abnormal data in the data can be found through clustering analysis, the problem of inconsistency is solved according to the relation between the user data and power information of other users, and the obtained result is stored by using a Hadoop platform. The storage process is as follows: the data containing the user A is divided into 128M data blocks through a client of an HDFS distributed file system in a Hadoop platform, then three DataNodes are found for each data block by a NameNode of the HDFS for storage, and the DataNodes inform the client of successful storage after the data is written.
5. And dividing the DataNode containing the data of the user A into blocks to generate corresponding InputSplits in the MapReduce process, wherein each InputSplit corresponds to one map task and is responsible for counting the electricity utilization information of the month of the user A contained in each InputSplit, and each counting result is delivered to Reduce for gathering to form the electricity utilization period of the month of the user A.
6. And generating a corresponding power utilization model of each user by utilizing a regression algorithm based on machine learning based on the power utilization period data of the user A and other users in the power utilization area.
7. According to the electricity utilization model of the electricity utilization area where the user A is located, the intelligent contract is defined through the formal language, and automatic compiling of the intelligent contract is achieved through the formal verification tool. The generated smart contract for user a is shown in table 1.
Table 1:
8. generating necessary files such as a node certificate, a creation block, an anchor node and the like on a block chain platform based on the fabric, creating a channel, adding the node, installing the intelligent contract of the user A on the block chain platform after updating the anchor node, and calling and executing the intelligent contract after instantiating the intelligent contract of the user A.
9. The habit of user a used the washing machine during the night when eating (around 19: 00), after the smart contract was executed, user a chose to use the washing machine at 18: the washing is finished before 30 days, so that 60 more electric green coins can be obtained per hour, more benefits are obtained for the user, and the electricity consumption in the peak period of electricity consumption at night is actively reduced.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A blockchain-based power load regulation system, comprising:
the N intelligent terminals are used for acquiring power utilization areas, power utilization time and power utilization electric quantity corresponding to the user identity information;
the Internet of things management platform is used for acquiring and integrating the electricity utilization areas, the electricity utilization time and the electricity utilization quantity which are acquired by the N intelligent terminals and correspond to the user identity information, and providing the integrated data to the big data platform;
the big data platform is used for generating power consumption statistics corresponding to each user based on data transmitted by the Internet of things management platform and generating a power consumption model corresponding to each user based on the power consumption statistics;
the block chain platform is used for generating corresponding intelligent contracts for different users based on the power utilization model, and the intelligent contracts specify different speeds of power green currency generation when the users use power in different time periods; and issuing a power green bill for the user based on the specification of the smart contract through the blockchain.
2. The system according to claim 1, wherein the N intelligent terminals collect power utilization areas, power utilization times and power utilization amounts corresponding to user identity information which is registered in the Internet of things management platform and passes identity authentication.
3. The system according to claim 1, wherein the IOT management platform integrates power utilization regions, power utilization time and power utilization quantity corresponding to the user identity information acquired by the N intelligent terminals, and the integration is performed by collecting and fusing the power utilization regions, the power utilization time and the power utilization quantity with the same user identity information.
4. The blockchain-based power load leveling system of claim 1, wherein the internet of things management platform provides the big data platform by converting the integrated data into an interface.
5. The system according to claim 4, wherein the big data platform performs data cleaning on data transmitted from the IOT management platform through a data access service, and stores the obtained result by using a Hadoop platform.
6. The system according to claim 5, wherein the big data platform constructs a computing component by a component encapsulation optimization MapReduce, Storm, Spark or Hive open source framework based on service requirements, and calculates data stored by the Hadoop platform by using the computing component to generate electricity consumption statistics corresponding to each user.
7. The blockchain-based power load regulation system of claim 6, wherein the big data platform generates a respective power usage model for each user based on the power usage statistics using a machine learning-based regression algorithm.
8. The blockchain-based power load leveling system of claim 1, wherein the power usage model corresponding to each user is visually presented using Kibana or Grafana.
9. The blockchain-based power load leveling system of claim 1, wherein the different rates at which the power green is generated by the user during different periods of power usage specified by the smart contract are: the generation speed of the electric power green coins is accelerated when the user uses the electricity in the electricity utilization peak period, and the generation speed of the electric power green coins is slowed down or the green coins are not generated when the user uses the electricity in the electricity utilization peak period.
10. The system according to claim 1, wherein when the electricity consumption habit of the user changes, the electricity consumption region, the electricity consumption time and the electricity consumption amount corresponding to the user identity information collected by the intelligent terminal generate a new intelligent contract through the internet of things management platform, the big data platform and the block chain platform again.
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