Aiming at the prominent problems in wetland ecosystem monitoring such as insufficient real-time performance, limited coverage, and single data dimension, this paper designs an intelligent multi-parameter sensing network based on the edge-cloud collaboration architecture. The system integrates heterogeneous sensing nodes, 4G/Beidou dual-mode communication links, and intelligent energy management modules to construct an integrated air-space-ground wetland ecological perception system. It elaborates on the network hierarchical model based on the digital twin concept, the adaptive selection method of key sensors, and the intelligent data preprocessing process. The innovative applications of the network in three typical wetland scenarios, including carbon flux monitoring of alpine wetlands in the Three-River-Source Region, ecological restoration effect evaluation of salt marshes in the Yellow River Delta, and water quality safety early warning of constructed wetlands in Taihu Lake, Suzhou, are verified. Practice shows that the system realizes high-precision and long-time series monitoring of key parameters such as water level and salinity, provides scientific support for ecological protection decision-making, and significantly improves the intelligent level of wetland management.

Xiuqiong Deng, Lin Li. Construction of Intelligent Sensing Network for Wetland Ecological Protection and Multi-Scenario Practical Applications. Academic Journal of Environment & Earth Science (2026), Vol. 8, Issue 1: 46-50. https://doi.org/10.25236/AJEE.2026.080107.

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