Different measurands from the different types of sensors can obtain different information regarding the structural behavior in a real structural health monitoring system.To enrich information and estimate the structural responses based on much more known information,the estimation on structural responses using multi scale measurements from multi-type sensors is proposed in this paper.Pattern identification is constructed with the pattern library given by strain measurements and deformation measurements.Considering the uncertainty of the measurements as well as to enhance the robustness of the proposed algorithm,more than one best pattern is selected to synthesize the finally estimated stress responses.To validate the capacity of the proposed acquisition method using multi scale measurements,finite element model analysis is conducted to estimate the structural stress response in Shenzhen Bay Stadium as an example.The performance of the pattern identifications,constructed by two kinds of pattern libraries captured by sole strain measurement,and multi scale measurements which are constructed by both kinds of strain measurements and deformation measurements,respectively,are compared in this paper to observe measurements constructed from strain measurements and deformation measurements outperformed others.Errors analysis for a series of parametric studies in which noise at different levels has also included in the measurements are further carried out,and robustness of the proposed information acquisition scheme under noisy measurement is demonstrated. Different measurands from the different types of sensors can obtain different information regarding the structural behavior in a real structural health monitoring system. Published information and estimate the structural responses based on much more known information, the estimation on structural responses using multi scale measurements from multi -type sensors is proposed in this paper. Pattern identification is constructed with the pattern library given by strain measurements and deformation measurements. Consistently the uncertainty of the measurements as well as to enhance the robustness of the proposed algorithm, more than one best pattern is selected to synthesize the finally estimated stress responses. To validate the capacity of the proposed acquisition method using multi scale measurements, finite element model analysis is conducted to estimate the structural stress response in Shenzhen Bay Stadium as an example. performance of the pattern identifications, constructed by two kinds of pattern libraries captured by sole strain measurement, and multi scale measurements which were constructed by both types of strain measurements and deformation measurements, respectively, are compared in this paper to observe measurements constructed from strain and deformation measurements outperformed others. Errors analysis for a series of parametric studies in which noise at different levels has also included in the measurements are further carried out, and robustness of the proposed information acquisition scheme under noisy measurement is demonstrated.