High-precision dynamic 3-D reconstruction technology is highly valuable in industrial automation applications, including defect detection, visual measurement, and grasp planning. Presently, predominant 3-D reconstruction for industrial applications requires projecting a pattern sequence, introducing complexities to positioning and measurement in dynamic conditions. We proposed a single-shot dense 3-D reconstruction framework for industrial tasks in response. This work is valuable in the following two aspects. 1) We proposed a design scheme of structured light patterns and developed a multifrequency phase decoding network to extract the wrapped phase from the multifrequency fringe pattern. These unique phase combinations can be used as a robust feature for disparity optimization and stereo matching. 2) We created a dataset with 3000 scenes and their high-precision wrapped phase ground truth. Experiments demonstrate that our proposed method significantly outperforms existing single-shot structured light reconstruction methods with high precision and adaptability. Thus, this framework has significant potential application in industrial automation.