Fuente: Wipo "BigData" The invention discloses a project equipment supply chain evaluation system and method based on big data, and belongs to the technical field of anomaly positioning. The method comprises the following steps: analyzing all process data, and classifying supply processes of project equipment to obtain different supply links; searching flow data reflecting the supply state of the project equipment, calculating the searched flow data, and constructing a supply chain of the project equipment by utilizing a supply link; analyzing the equipment data, searching abnormal characteristic data of the equipment, and calculating to obtain an abnormal threshold value; judging whether the real-time project equipment has an abnormal risk or not by using the calculated abnormal threshold value, and sending out an early warning; calculating relevance between the process data and the feature data, and constructing an anomaly inversion screening model; and inversion is carried out on the real-time early warning abnormity, a supply chain link causing the abnormal risk of the equipment is determined and marked as a problem link, and the information of the problem link is transmitted to a project responsible person for problem elimination.