FBG传感技术具有巨大的应用价值，解决温度应变交叉敏感问题是FBG传感系统实现的核心内容，得到国内外学者的广泛关注。双参数测量法与温度补偿法是研究反射光谱反演温度应变信息的最有力工具，首先，本项目将从两种方法中各取部分手段相结合，构成融合算法，提出一个基于融合算法的FBG传感系统理论模型；然后基于低维数据逆投影重建高维数据的思想研究设计并试制新式FBG传感器，确定若干影响温度应变数据重建的因素和机制，定量分析其对系统模型的影响；接着提出合理的性能优化指标，反复调整相关参数使系统性能优化；最后，展开多新型FBG组网实验研究，验证并评价所得理论模型。本项目成果将有助于从理论上拓展FBG传感系统的研究深度与应用领域，为应用反射光谱的低维数据重建温度与三维应变场的高维数据、甚至更高维数据提供了新思路和新方法。

The solution for temperature and pressure cross-sensitivity problem is the core content of FBG sensing system which has an important application value. As a core problem in FBG sensing technology, cross-sensitivity problem has attracted extensive attention from researchers. The two-parameter measurement method and the temperature compensation method are the most powerful tools to study the inversion of temperature and three-dimensional strain fields data from the reflection spectrum. First, part of the means from the two methods will be combined together, and the fusion algorithm will be constituted in the project. Based on fusion algorithm a theoretical model of novel FBG sensing system will be proposed. The novel FBG sensor will be trial based on the idea of high-dimensional data reconstruction from low-dimensional data by inverse projection method. We will decide some decisive factors and mechanisms which affect the reconstruction effect of temperature and three-dimensional strain field data, and analyze how they affect test accuracy and stability of the system. Some reasonable performance indices that affect the temperature and strain reconstruction will be proposed, the system performance was optimized by repeatedly adjusting the relevant parameters. Finally, multi-FBG networking experiments will be carried out, and the theoretical model will be validated and evaluated. The research results of this proposal will provide strong support to perfect the research on cross-sensitivity problems of FBG sensing system and provide new idea and method for the analysis of temperature and three-dimensional strain fields.