Coking coal sulfur content detection system based on big data

The invention relates to the technical field of coking coal, is used for solving the problems that rapid matching between an enterprise and a third-party detection mechanism cannot be realized and bidirectional selection between the enterprise and the third-party detection mechanism is difficult to realize in the process of detecting the sulfur content of the coking coal in the existing enterprise, and particularly discloses a coking coal sulfur content detection system based on big data. Comprising a server, a data acquisition unit, an enterprise demand analysis unit, a detection mechanism analysis unit and an information matching analysis unit, according to the method, firstly, the detection requirement difficulty of the sulfur content of the coking coal of the enterprise is judged, the requirement grades are divided, the detection qualification and service work of the third-party detection institution are judged and analyzed from different levels, and the grade division of the detection qualification level