Water affair intelligent scheduling parameter solving method and system based on multilayer consensus mechanism

Abstract

The invention provides a water affair intelligent scheduling parameter solving method and system based on a multi-layer consensus mechanism. According to the method and the system, the phenomena of data non-circulation and data islanding in the whole process of joint scheduling of multiple water supply main bodies are solved by utilizing distributed nodes. A digital certificate is issued to each node and a public key and a private key for encrypting data are configured through a CA authentication link, so that the security of an alliance chain is improved. A multi-layer consensus mechanism is adopted, a first layer of consensus deeply fuses a DPOS consensus algorithm in a block chain technology with an actual production environment, response can be quickly carried out, and the computing power is saved. And the second layer of consensus converts a difficult problem needing to be solved in the block chain network into a flexible and adjustable valuable mathematical problem closely related to production practice from all node consensus participating in the block chain through a POW consensus algorithm, and the calculation overhead of each node is reasonably utilized. And through joint calculation and solution of all nodes, scheduling parameters meeting water supply requirements are obtained, and comprehensive energy consumption is reduced.

Description

technical field [0001] The invention relates to the technical field of intelligent water supply dispatching, in particular to a method and system for solving parameters of intelligent dispatching of water affairs based on a multi-layer consensus mechanism. Background technique [0002] The urban water supply system should continuously supply the city with sufficient quantity and qualified water to meet the needs of urban residents in daily life, production, fire protection, greening and environmental sanitation. Urban water supply systems can be divided into two categories according to the differences in reservoirs. The first category, urban water supply systems that do not include water storage systems. The second category, urban water supply systems including water storage systems. The urban water supply system that does not include a water storage system belongs to the static optimal dispatching problem. The research on this system has been very in-depth, and there are ...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above problems, some water supply agencies realize the prediction of water level through time series data and multi-task prediction model, and directly use real-time water level. However, in this method, the water flow in and out of a certain time interval is not considered, which affects the key indicators of water level. not being used effectively

The power consumption consumed by key equipme

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