电力管路线路状态多场协同感知和智能处理关键技术研究

协同感知是泛在电力物联网重要能力支撑，高可靠、易集成、高精度、准预测是电力管线多场协同感知的重要发展方向。其承载架构、支撑关键技术、智能处理模型与算法是当前亟需解决的关键问题。本项目重点研究（1）电力管线立体化精准测量与预警的空天地多场综合协同感知架构；（2）电力管线状态监测新型多参量感知及支撑关键技术；（3）基于深度机器学习的电力设施状态精准监测和预测智能处理模型与算法。基于上述研究建立仿真平台和实验系统对技术与方案进行验证。. 通过以上创新性科学研究和实验工作，拟在：多场协同感知架构、多参量感知解调技术、多源自供能电子无线式智能感知方法与关键技术，多源微能量高效综合管理及协同优化技术，光纤传能及能信共传技术，精准监测和预测处理模型与算法等方面取得重要突破。预期成果可为泛在电力物联网协同感知的实现奠定坚实的理论与技术基础，有效支撑构建天空地一体化感知网络的国家重大发展战略。

Collaborative sensing is an important capability support for Ubiquitous Electric Internet of Things (UEIOT). High reliability, easy integration, high accuracy, and quasi-prediction are important development directions for multi-field collaborative sensing of power pipelines and power lines. Its supporting structure model, supporting key technologies, intelligent processing models and algorithms are the key problems that need to be solved in the present. This project mainly focuses on the following aspects: (1)Multi-field comprehensive collaborative sensing structure model for accurate measurement and warning of power pipelines and power lines; (2) Multi-parameter sensing and key support technologies for power pipelines and power lines; (3) Intelligent processing models and algorithms for accurate sensing and prediction of power facility based on deep machine learning. On the basis of the UEIOT concept, establish simulation platform and experimental system to verify our proposals.. Based on these innovative scientific studies and experimental works, we expect to make breakthroughs for UEIOT in the following aspects: Multi-field collaborative perception structure model; Multi-parameter sensing demodulation technology; Wireless electronic intelligent sensing methods and key technologies based on multi-source energy supply; Multi-source micro-energy efficient comprehensive management and collaborative optimization technology; Optical fiber energy transmission and energy co-transmission technology; Precise sensing and prediction processing models and algorithms. The research results provide a steady base in theory and technology for the collaborative sensing of UEIOT, and effectively support the major national development strategy of the construction of space/sky/terrestrial integrated sensing network.