An improved Sage-Husa adaptive filter algorithm is proposed based on the existing methodologies in light of the complex and changing environment of the industrial online measurement. This algorithm,after a new observed value is obtained,first judges whether the filter is in a normal state by the filtering divergence criterion,if not,it judges whether the new observed value is an outlier and takes countermeasures varying with the judgment so as to improve the performance of the Sage-Husa algorithm in industrial measurement. The result indicates that compared with traditional methodologies,this new algorithm is applicable to measure the location of the center point of laser beam in a simulated industrial environment,makes accurate judgment about the system status,features better precision,practicality and robustness and thus can satisfy the requirements of industrial online measurement.