The invention discloses a real-time abnormal monitoring method and system for a drip irrigation pipe production line. Firstly, production process data of the drip irrigation pipe production line collected in real time at different moments are acquired, a production process data matrix is established accordingly, and standardized preprocessing is performed on data in the matrix to generate a dimensionless process data matrix. A constraint function method is adopted to sparsify the dimensionless process data matrix to obtain optimal sparsification parameters. Then, production process statistics of drip irrigation pipes are determined based on the optimal sparsification parameters. Abnormal conditions of the drip irrigation pipe production line are judged automatically in real time through the statistics, which improves the timeliness and accuracy of abnormal monitoring.
Area Code: CN
Application Number: CN201910316754.0
