Load and deformation measurement of plate structures are fundamental for structural design and health monitoring. However, existing methods are limited to independently reconstructing either deformation or load, without being capable of integrating sensing both the deformation and load in a unified sensing formulation. To address this gap, a matched-section discretization method is proposed, transforming the plate into two orthogonal sets of equivalent beam elements. The structural displacement field is formulated in terms of cross-sectional deformation parameters, internal force/moment parameters, and uniformly distributed loads. Mapping equations between discrete strain measurements and these parameters are then established. By inputting real-time discrete strain data, the least-squares inverse method is employed to simultaneously reconstruct the deformation and load distributions. The proposed method is validated through simulations and experiments on plate structures with varying thicknesses, boundary conditions, and load cases. In the simulation results, the maximum deformation sensing error is limited to 3.1%, and the load sensing error remains below 8.1% with one sensing element. These findings demonstrate the high accuracy and practical potential of the proposed approach in structural health monitoring and intelligent structural design.
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