Temporal index is one of key methods for temporal data managements and retrieval, which has been a hotspot in the field of temporal data. This paper presents a temporal index technique TPindex which is based on a temporal timing partition method. Firstly, the temporal attributes of massive amount of temporal data is mapped to a two-dimensional plane and the “Valid Time” points in this plane are sampled for timing partition. A “form up to down and form left to right” timing partition method is used to divide the plane into several balanced temporal areas and whole-partition index would be established at the same time. Once the steps above are completed, temporal data can be dynamically indexed by its querying schema of “one time, one set”. Secondly, the TPindex would build data structures through using “linear order partition” algorithm based on quasi-order relation for the data in each temporal area. Besides, a “Separated Files Model Index” based on disks and multi-threading parallel process technique that can be combined are proposed to make full use of modern hardware resources to meet the high performance needs under high-volume data, leading to better performance with index. On the other hand, the incremental updating algorithm was also studied. Finally, the corresponding simulation experiments are designed to compare with the current representative work to verify the feasibility and validity of the proposed algorithm.