| 摘要 |
<p>PURPOSE:To permit the self repairing of parameter and improve the estimation precision by optimizing the model parameter from the measured value of a plant and the corresponding analytical value and carrying out self learning. CONSTITUTION:After the simulation using the initial input based on the plant design is executed, the operation parameter 10 and the state quantity 11 measured for a restricted period are read in 2, and the analytical value through the simulation and the state quantity 11 are compared, and the existence of annmaly is judged 6. When no anomaly exists and the number of data of the state quantity 11 exceeds a prescribed value, the model parameter is automatically optimized 3 so that the differential square sum between the data value and the corresponding analytical value becomes min. After the optimization, the correlation between the left difference and the whole state quantity 11 is analyzed 4, and the state quantity 11 in the strong correlation is added to the variable for the newly calculation of model parameter, and self learning 5 is performed. When anomaly is detected, the cause of the anomaly is identified on the basis of the difference between the estimated value which is calculated beforehand and the state quantity 11, and the constitution equipment, life of material, or the cumulative quantity of the radioactive is estimated 7 from the model parameter value in optimization.</p> |
