According to the equipment defect interconnection between the Production Management System (PMS) and the Operation Management System (OMS) requires the PMS maintenance staff to choose the defects personally, resulting in staff workload increased significantly and the extent of unreasonable data interaction. At the same time, the incomplete degree of interconnection is gradually increased. The study proposes a recommendation defects method based on tag technology and entropy coefficient method. Firstly, the forward maximum matching algorithm and edit distance and rule database technologies are being used for tagging defects identification, and then using entropy weight method to evaluate the label, in order to achieve the intelligent recommendation to relevant personnel. The experimental results show that the implementation of the proposed method greatly reduces the workload of the relevant personnel, and improves the accuracy of the defect information recommendation.