Guided by the national strategy of self-reliance and strength in science and technology, scientific and technological talents are the core strategic resource determining industrial innovation capacity, especially in key industries. From the perspective of scientific and technical information science, this paper constructs a framework of “implicit trait intelligence mining and supply situation early warning”. Using multi-source intelligence fusion, it integrates psychological assessment, resume behavior and other data, extracts three core dimensions of implicit traits, and establishes a two-dimensional talent portrait and supply early warning system. The results expand the boundaries of scientific and technical information services, provide an accurate talent decision-making tool for governments, enterprises and technology brokerage institutions, support technology transfer efficiency improvement, and solve the “talent black box” problem in key industries.