Plant monitoring and diagnosing method and system, as well as plant equipped with the system
First Claim
1. A method of monitoring and diagnosing plant conditions comprising the steps of:
- detecting and accumulating plant operating conditions, apparatus operating conditions and environment conditions;
inputting and accumulating plant inspection data; and
monitoring and diagnosing said plant conditions based on plant record information including said accumulated detection data and inspection data;
wherein said inputting and accumulating plant inspection data comprises;
inputting a first set of detection data of a first type relating to a given characteristic of a plant element to be diagnosed, andinputting a second set of detection data of a second type relating to said given characteristic but different from said first type of detection data; and
wherein said diagnosing comprises;
determining a correlation between said first set of detection data;
calibrating said determined correlation using said second set of detection data; and
storing said calibrated correlation as a plant chart for monitoring and diagnosis; and
comparing said calibrated correlation stored as a plant chart and a correlation of a third set of detection data, said third set of detection data being of said first type.
1 Assignment
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Accused Products
Abstract
Plant operating conditions 1, apparatus operating conditions 2 and environment conditions 3 are accumulated, combined and put together as a set of plant status variables 8 -through a monitor 6, while water chemistry information 4 is accumulated as another set of plant status variables 9. The set of status variables 8 is updated and the past data are accumulated in the set of status variables 9. Periodical inspection data 5 are also accumulated in the set of status variables 9 along with the water chemistry information 4. The set 9 is compressed and stored as a plant chart 11 such as a personal clinical chart. A status variable prediction 12 is performed in consideration of the personality of a plant. Both data of the sets 8 and 10 are compared with each other by comparison means 13. If both the data nearly coincide with each other, the plant is diagnosed to be normal and, if not, it is diagnosed to be abnormal. When the plant is diagnosed to be abnormal, an abnormal apparatus and an abnormal factor are identified.
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Citations
8 Claims
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1. A method of monitoring and diagnosing plant conditions comprising the steps of:
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detecting and accumulating plant operating conditions, apparatus operating conditions and environment conditions; inputting and accumulating plant inspection data; and monitoring and diagnosing said plant conditions based on plant record information including said accumulated detection data and inspection data; wherein said inputting and accumulating plant inspection data comprises; inputting a first set of detection data of a first type relating to a given characteristic of a plant element to be diagnosed, and inputting a second set of detection data of a second type relating to said given characteristic but different from said first type of detection data; and wherein said diagnosing comprises; determining a correlation between said first set of detection data;
calibrating said determined correlation using said second set of detection data; and
storing said calibrated correlation as a plant chart for monitoring and diagnosis; andcomparing said calibrated correlation stored as a plant chart and a correlation of a third set of detection data, said third set of detection data being of said first type. - View Dependent Claims (3, 4, 5, 6, 7, 8)
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2. A method of monitoring and diagnosing plant conditions comprising the steps of:
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detecting and accumulating plant operating conditions, apparatus operating conditions and environment conditions; inputting and accumulating plant inspection data; and monitoring and diagnosing said plant conditions based on plant record information including said accumulated detection data and inspection data; wherein said plant record information is stored in the form of a plant chart in which said detection data and said inspection data are compressed and accumulated, and the plant conditions are diagnosed based on the data in said plant chart; and wherein said detection data and said inspection data each comprise plural kinds of data, these plural kinds of data are given with predetermined weights before the plant conditions are monitored and diagnosed, these predetermined weights are changed in accordance with the result of diagnosing the plant conditions, and these changed detection data and said inspection data are compressed and stored as the data in said plant chart; and wherein one of said plural kinds of detection data relates to a given operating condition; and further comprising; determining a first plurality of values of said given operating condition for the respective different detection data using said inputted plurality of detection data; and
storing correlations of said first plurality of values of said given operating condition as said plant chart for monitoring and diagnosis; andwherein said diagnosing comprises comparing said correlation of said first plurality of values of said given operating condition stored as said plant chart and correlations of a second plurality of values of said given operating condition for the respective different detection data determined using a second plurality of values of said plurality of different detection data to monitor and diagnose an abnormality in a plant element relating to said operating condition.
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Specification