The work aims to propose a method to reduce the scope of finding the optimal resources by matching the cloud manufacturing resource set of the guide roller production equipment with the cloud manufacturing requirements of the production process, so as to solve the problem of low efficiency in searching equipment manufacturing resources when the guide roller production process is outsourced in the cloud manufacturing environment. Firstly, an extension matter-element model of manufacturing resources of guide roller production equipment was established, and the clustering of manufacturing resources of guide roller production equipment was realized by extension clustering algorithm. Then, the available processing method attributes of manufacturing resources in the set were paired with the processing method attributes of manufacturing requirements. The matching result was used to complete the matching between the manufacturing resources set of the guide roller production equipment and the manufacturing requirements of the production process. After application of this matching method, 10 guide roller manufacturing resource samples were successfully clustered into 7 manufacturing resource sets KN1-KN7, which were matched with the manufacturing requirements of 7 production processes of guide rollers. It is proved that this method can match the cloud manufacturing resource set of guide roller production equipment with the production process requirements, and improve the efficiency of finding the optimal resources for the subsequent outsourced guide roller production process.