Method for detecting steady state and judging operation condition of water treatment process in thermal power plant

Abstract

The invention relates to a method for detecting a steady state and judging an operation condition of a water treatment process in a thermal power plant. The method comprises the steps of (1), collecting sensor data comprising pressure of a water outlet header pipe of a water pump, water inlet flow of a cation bed, water inlet flow of an anion bed, pressure of a cationic exchanger inlet, pressure of an anion exchanger inlet, pressure of a mixed ion exchanger inlet, ion concentration and the like to determine steady state thresholds of the sensors and operation condition switch thresholds; (2), detecting operation condition steady state and judging operation condition stages: 2.(1), calculating and judging whether the process is in a steady state or not according to the steady state thresholds of the sensors of the step (1), performing the step 2.(2) if the process is in unsteady state in judgment; 2.(2), calculating and judging that whether the operation condition switches according to the operation condition switch thresholds of the step (2), performing the step 2.(3) if the operation condition switches in judgment; and 2.(3), calculating Euclidean distance and similarity according to data which is sampled in real time to judge the operation condition stage. The method is capable of accurately judging the steady state and the operation condition switch of the water treatment process, transiting the unsteady state process and monitoring the data of the sensors in real time automatically and dynamically.

Description

technical field [0001] The invention relates to a method for steady-state detection and operating condition discrimination of a water treatment process, and belongs to the technical field of analyzing and judging working conditions of generating sets. Background technique [0002] In the thermal system of a thermal power plant, good water vapor quality can effectively prevent thermal equipment from corrosion, scaling and salt accumulation; improve the reliability of the thermal system. Good water vapor quality is achieved through the normal operation of the water treatment process to ensure the water quality indicators of the make-up water. In the water treatment process, the working status of various sensors plays a vital role in the operation reliability of the water treatment process; for this reason, it is necessary to carry out fault diagnosis on the relevant sensors of the water treatment process. Algorithms for fault monitoring and fault source location have emerged....

AI Technical Summary

Problems solved by technology

When the working conditions are switched, the sensor data of the water treatment process related to the working conditions will fluctuate greatly. If such data are directly used in the sensor fault diagnosis algorithm, it is easy to cause misjudgment

In addition, the data changes brought about by the switching of working conditions also make it difficult for the general adaptive superposition modeling method to obtain good results

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