Power consumption abnormity analysis and sharing management system and method based on block chain energy data

Abstract

The invention relates to a power consumption abnormity analysis and sharing management system and method based on block chain energy data. The system comprises a plurality of power consumption terminals, a block chain and a smart contract; the electricity utilization end is registered as a block chain node, unique identity identification information is distributed, and the electricity utilization end automatically uploads the collected electricity utilization data to the block chain; and the block chain is responsible for receiving, storing, and publicly displaying the power consumption data uploaded by each power consumption end. The smart contract is a program deployed on the block chain, and the smart contract acquires power consumption data uploaded by a power consumption end on the block chain and performs anomaly detection.

Description

technical field [0001] The invention belongs to the technical field of abnormal analysis of energy data, and relates to a system and method for abnormal analysis of power consumption based on blockchain energy data, especially a system and method for abnormal analysis and sharing management of power consumption based on blockchain energy data. Background technique [0002] Blockchain is a decentralized transaction ledger, users can conduct peer-to-peer transactions without the need for a third party, transaction data is stored in blocks through encryption technology and grows continuously in a chain structure, and is retained for a long time . Due to the unique chain structure and the consensus mechanism of point-to-point transactions, the data in the blockchain is difficult to be tampered with, so it has the characteristics of tamper-proof, and information can be safely stored, transmitted and processed in the blockchain. [0003] A smart contract is a piece of code runnin...

AI Technical Summary

Problems solved by technology

[0006] After searching, it was found that: the patent "Blockchain-Based User Electricity Stealing Behavior Detection Method" disclosed a blockchain-based user electricity theft behavior detection method, using blockchain technology for user electricity theft behavior detection, however the block The role of the chain in this method is still lacking in sufficient details, and it is only detected for user stealing behavior

The patent "a block chain-based electricity consumption anomaly detection method, equipment, and medium" discloses a block chain-based power consumption anomaly detection method, and expounds the role of the block chain in electricity theft detection and energy transactions , but the specific detection algorithm has not been elaborated

[0007] To sum up, in recent years, the prosperity of virtual currencies such as Bitcoin and Ethereum has led to the popular behavior of mining with power consumption to generate computing power, resulting in a large amount of energy waste

At present, the analysis of energy data is mostly used in the detection of abnormal behaviors of user electricity consumption, mainly through machine learning related algorithms to detect illegal behaviors such as user electricity theft, but there is still a lack of corresponding technology in the detection of user electricity mining behavior

[0008] At the same time, abnormal behaviors of energy data are difficult to share with regulatory authorities in a compliant and credible manner, and data islands exist

Moreover, a large number of existing methods for detecting users' electricity consumption behavior rely on the judgment of a centralized organization, which lacks sufficient openness and transparency

[0009] Existing abnormal behavior detection of electricity consumption mainly detects user electricity theft behavior, and there is no technology to detect user mining behavior

In addition, the existing abnormal detection of electricity consumption behavior based on blockchain is usually at the conceptual level, and has not yet been elaborated on the specific algorithm

Images