Open Access Article
Frontiers in Intelligent Construction Technology DOI: .
*通讯作者: 无
发布时间: 2026-08-17 总浏览量: 13
传统环境工程依赖人工采样与离线检测的管控模式,存在监测滞后、治理精度不足等问题,难以适配现阶段精细 化生态治理需求。为解决现场监管碎片化、处置被动等工程痛点,本文以物联网智能化感知、传输与联动控制技术为 核心研究载体,结合水环境、大气、土壤固废及生态运维四类主流工程场景开展实操研究。研究明确设备户外适配性 差、数据标准不统一、野外网络不稳定、基层运维体系缺失四项核心落地问题,并配套形成场景化设备选配、数据标 准化整合、网络层级搭建、常态化运维配套的全维度优化方案。为环境工程智能化、精细化改造提供实操参考,对完 善区域生态长效管控体系具备实践价值。
Traditional environmental engineering relies on manual sampling and offline testing for management and control, which leads to problems such as delayed monitoring and insufficient governance precision, making it difficult to meet the current needs of refined ecological governance. To solve engineering pain points such as fragmented on-site supervision and passive disposal, this paper takes intelligent sensing, transmission, and linkage control technologies of the Internet of Things as the core research carrier, and conducts practical research in four mainstream engineering scenarios: water environment, atmosphere, soil and solid waste, and ecological operation and maintenance. The study identifies four core implementation problems: poor outdoor adaptability of equipment, inconsistent data standards, unstable field networks, and the absence of grassroots operation and maintenance systems. Corresponding full-dimensional optimization schemes are then formed, including scenario-based equipment selection, standardized data integration, hierarchical network construction, and normalized operation and maintenance support. The study provides practical reference for the intelligent and refined transformation of environmental engineering and has practical value for improving regional long-term ecological control systems.
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