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Based on the grey system theory, through the analysis of the theory flaw of the GM (1,1) prediction model, taking into the linear trend and the exponential growth trend of the settlement monitoring data series, and using the sequence operator role to enhance the smoothness of the original sequence data, combined with the characteristics of GM (1,1) and the linear regression, this paper presents a new and improved combination forecasting mode. Compared the traditional model, the accuracy of the improved method has been greatly enhanced, and the improved method will better meet the practical requirements.

A hollow core fiber based all-fiber intermodal interferometer is proposed for measurement of strain and temperature. The sensing structure is simply a short segment of hollow core silica fiber being spliced between two normal single mode fibers. The fabrication process only involves a conventional fusion splicer and a mechanical fiber cleaver. Experimental results show that sensitivities of-1.21 pm/με and 21.30 pm/°C are achieved for strain and temperature measurements, respectively.