Core Insights - The article highlights the successful implementation of a smart wastewater monitoring system at Qilu Pharmaceutical Company, marking a significant advancement in pollution source monitoring technology in Shandong Province [3][9]. Group 1: Smart Monitoring System - The smart monitoring system integrates automatic monitoring with "big data + artificial intelligence," representing a shift from manual operations to intelligent-driven management in pollution monitoring [3][5]. - The system features four main functions: data collection terminals, remote quality control, multi-data source integration, and intelligent anomaly analysis, creating a comprehensive digital twin of the monitoring station [5][7]. Group 2: Operational Efficiency - Remote online operations allow for immediate fault resolution, enhancing operational efficiency and reducing maintenance costs by 10%, while extending the lifespan of key monitoring components by 30% [7][8]. - The system supports automated operations such as calibration and reagent replacement, streamlining the maintenance process and ensuring compliance with environmental standards [7][8]. Group 3: Anomaly Detection and Regulatory Compliance - The anomaly detection feature utilizes big data and machine learning to identify abnormal data points and trends, facilitating timely responses to potential environmental issues [8]. - The system aims to reduce unnecessary on-site inspections by providing real-time alerts to both operational and regulatory bodies, ensuring effective environmental oversight [8][9]. Group 4: Future Developments - The Jinan Ecological Environment Monitoring Center plans to continue exploring new smart monitoring solutions to enhance ecological regulation and support environmental protection initiatives [10].