Automated Water Data Analysis and Real-Time Reporting System

The client faces difficulties in manual water sample analysis, timely detection of concerning trends, and efficient reporting within their water compliance platform. These challenges hinder proactive decision-making, reduce operational efficiency, and risk non-compliance with environmental regulations.

A utility management organization specializing in drinking and wastewater services, seeking to enhance water sample analysis, trend detection, and compliance reporting capabilities for application users.

• Implement an AI-powered system capable of analyzing water sample results in real-time, identifying upward and downward trends with high accuracy.
• Automate the generation of actionable insights and inspection tasks based on detected anomalies or worrisome patterns.
• Enable seamless, instant inquiries from users regarding water metrics, reducing manual analysis time to under 30 seconds per query.
• Enhance data accuracy and timeliness of compliance reports to stay ahead of regulatory requirements and competitors.

• Trend Detection Module: Analyzes sequences of water sample data to identify significant upward or downward trends using time series analysis libraries.
• Alerting System: Notifies users of worrisome patterns with actionable insights for timely intervention.
• Auto-Inspection Task Generator: Creates inspection or maintenance tasks automatically based on identified data anomalies.
• Real-time Query Interface: Allows users to inquire about water metrics, receiving insights and trend reports within 30 seconds.
• Multi-layer Request Routing: Classifies user requests through layered language models for accurate handling, directing queries to appropriate analysis or Q&A modules.
• Retrieval-Augmented Generation (RAG) Q&A System: Combines document retrieval with generative responses to provide context-rich answers for water data queries.
• Statistical Analysis Integration: Utilizes tools like Prophet for forecasting and trend analysis to support decision-making.

• Existing water compliance application for seamless integration
• Data repositories for raw and processed sample data
• Notification and alerting systems for user notifications
• Scheduling and task management modules for automated task creation

• Process 100% of valid inputs and deliver insights within 30 seconds
• High system availability and scalability to support concurrent user inquiries
• Secure architecture ensuring data privacy and compliance standards
• Robust request routing and request classification accuracy using layered LLM models

The implementation aims to significantly improve data accuracy, reduce manual analysis time, and enable real-time insights for application users. Expected outcomes include faster detection of water quality issues, automated reporting, and improved operational compliance, collectively enhancing the client's competitive edge and regulatory adherence.