Core Insights - The article highlights the transformation of ecological environment governance through the implementation of a digital technology platform by Inspur Technology, which integrates various data sources into a cohesive system for real-time monitoring and management of pollution sources [1][2]. Group 1: System Overview - The core of the system is the "Ecological Governance Operation System," which utilizes a logic framework of "data fusion - intelligent supervision - collaborative disposal" to reorganize disparate ecological governance elements into a computable and predictable digital system [1]. - The foundation of this system is a unified ecological environment big data resource center that connects three core data sources: real-time monitoring IoT data, inter-departmental business collaboration data, and historical regulatory data, resulting in over 480 standardized data resource lists [1]. Group 2: Platform Architecture - The system features a "dual-platform" architecture consisting of the Ecological Environment Intelligent Supervision Platform and the Water Environment Refined Intelligent Supervision Platform, enabling multi-level regulatory collaboration [1]. - The Ecological Environment Intelligent Supervision Platform acts as the "governance brain," while the Water Environment Refined Intelligent Supervision Platform functions as the "perception nerve," utilizing GIS mapping and IoT technology for precise monitoring of pollution outlets [1]. Group 3: Data and Intelligence Integration - The data platform serves as a precise "governance knowledge base," providing structured inputs for models to generate accurate disposal suggestions, significantly enhancing the identification rate of illegal discharges [2]. - The intelligent engine, through machine learning, continuously discovers potential patterns from new monitoring data, allowing the system to predict trends in pollution anomalies, thus fostering a self-evolving knowledge ecosystem [2]. Group 4: Impact and Scalability - The collaborative model of "data platform + intelligent engine" has demonstrated significant effectiveness, enabling rapid response to pollution incidents and transforming ecological governance from isolated efforts to coordinated actions [2]. - The technology framework, centered around the dual-platform, offers a replicable and scalable "digital pollution control template," which can be applied across various ecological environment protection scenarios and extended to other regions exploring digitalization in environmental governance [3].