Development And Application Of Real-time Monitoring Software For Cogeneration System

The cogeneration system is a new type of power generation system that can generate electricity and heat.When the parameter data of the cogeneration system is out of the safe allowable range,especially the temperature of the coolant out of the cogeneration system exceeds the safe range.It will seriously affect the safe and stable operation of the cogeneration system,and secondly it will affect the operating efficiency of the cogeneration system.Therefore,real-time monitoring and analysis of the cogeneration system is an important way to master the operation status of the cogeneration system in real time.1.In this thesis,that studied the structure and operation characteristics of the cogeneration systems,master the operating principle of the cogeneration system,and analyse the economic benefits of the cogeneration system and the protection of the society,and determine the safety and efficiency of the cogeneration system.The important parameters affecting the operation safety efficiency of cogeneration system are determined,including coolant effluent temperature,oil pressure,frequency and rotating speed.2.The prediction model of coolant effluent temperature of combined the heat and power system based on BP neural network and the prediction model of coolant effluent temperature of GA-BP neural network are studied.The last day's data is predicted by historical data for the first 29 days of November 2018.Through the MATLAB simulation experiment,the simulation results are obtained: BP neural network has certain predictive ability in the prediction of coolant effluent temperature,and there is a large error between the predicted value and the true value.When using the GA-BP neural network to predict the effluent temperature of the coolant,the prediction effect is better than that predicted by the BP neural network.3.The benefits of distributed blockchain system,smart contract and the combination of IoT data and blockchain are studied and the intelligent contract and data uploading Ethereum blockchain process is designed.The power generation and the amount of hot water used by the users are uploaded to the Ethereum blockchain to ensure that the data is safe and reliable,cannot be tampered with,data sharing is realized,and the economic benefits of the users of the cogeneration system are ensured.4.A set of real-time monitoring software for cogeneration system is developed to monitor the important parameters of cogeneration system in real time,and the GA-BP neural network coolant effluent temperature prediction model is realized in the software system.Then the power generation and hot water user use is uploaded to the Ethereum blockchain.Users and managers,as well as unit operation and maintenance personnel,can view the operation status of cogeneration system in real time through software to ensure the safe and effective operation of cogeneration system.