In order to respond to the adjustment of energy structure and promote the reform of energy supply side

the thermal power generation industry needs a profound technological transformation urgently. The calculation of the target value of key parameters is an important part of the operation optimization of thermal power plants. The conventional calculation and mining methods have low precision

poor real-time performance and are difficult to put into closed-loop applications. To solve this problem

this paper discusses the connotation and concrete realization of key parameter target value mining technology based on big data of intelligent power plant

involving the whole architecture and special data mining technology. Moreover

taking an ultra-supercritical unit in China as an example

it introduces the key parameter target value mining system for ultra-supercritical units. By applying the combination of online iterative update and offline mining correction

this system solves the contradiction between large data volume and high timeliness requirements

and helps to achieve efficient mining of key parameter target values.