In order to solve the practical teaching problems in computer network technology courses in higher voca-tional colleges,especially the problem that traditional classroom teaching methods cannot meet the needs of students'practical ability,an intelligent eNSP practical training automatic correction technology is proposed.In or-der to solve the limitations of simulator software in practical training correction,a VRP configuration file parsing al-gorithm,an OCR-based practical training screenshot correction algorithm,a multi-scale image template matching al-gorithm,an automatic correction program generation algorithm,and an anti-cheating algorithm based on student ID are designed.Through the design and implementation of these algorithms and systems,the real-time evaluation and correction of students'practical training process are successfully realized,which significantly improves the efficiency and quality of practical training teaching.Experimental verification shows that the scheme is effective and practical,and provides an effective solution for practical training teaching based on eNSP in higher vocational colleges.