The invention provides a method for adaptively adjusting operation
modes of a
process industry on the basis of working conditions, and belongs to the field of
information processing. The method includes preprocessing complex industrial
field data, and combining the complex industrial
field data with technical analysis to select a plurality of variables so as to describe the working conditions; building operation index prediction models to predict indexes, and comparing prediction results to actual measurement results and judging deviation of the prediction results and the actual measurement results; setting threshold values to judge whether production is in a
normal state or not, and adaptively adjusting parameters if the production is in an abnormal state; combining samples which generate misjudgment results with an improved
support vector machine process to secondarily predict the indexes, secondarily matching prediction results with an
operation mode library, searching the optimal operation
modes to optimize operation and continuously adjusting and updating matching of the operation
modes along with continuous change of the working conditions so as to support operation optimization. The method has the advantages that the parameters can be dynamically and adaptively adjusted on the basis of the working conditions, so that the operation modes can be matched, and the
mode matching accuracy and the mode optimization accuracy can be improved.