Online statistical method for abnormal conditions of high-temperature heated surfaces of thermal power plant DCS boilers
The invention relates to an online statistical method for the abnormal conditions of the high-temperature heated surfaces of thermal power plant DCS boilers. The method comprises the following steps of (1) collecting field data, and transmitting the data to a DCS real-time database; (2) processing t...
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Main Authors | , , , , , , , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
22.10.2019
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Subjects | |
Online Access | Get full text |
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Summary: | The invention relates to an online statistical method for the abnormal conditions of the high-temperature heated surfaces of thermal power plant DCS boilers. The method comprises the following steps of (1) collecting field data, and transmitting the data to a DCS real-time database; (2) processing the date, specifically, 1 determining an alarm constant value, and storing the alarm constant value in the DCS real-time database, 2 judging the abnormal conditions of the temperature of pipe walls, namely determining whether the current temperature of the pipe walls is in an over-temperature condition or not, generating Boolean type intermediate variable b, and storing the Boolean type intermediate variable b in the DCS real-time database,3 recording the maximum value of the temperature of the pipe walls in real time, and storing the maximum value in the DCS real-time database; (3) generating a report, specifically generating statistics of the abnormal conditions of the temperature of the pipe walls of all the high |
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Bibliography: | Application Number: CN201910630979 |