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Description

DataPortia represents a sophisticated on-premises solution for industrial data acquisition and reporting, equipped with integrated AI analytics capabilities. It seamlessly interfaces with various automation systems through the OPC UA protocol, compatible with brands such as Siemens, ABB, Valmet, Beckhoff, Schneider, Honeywell, and Rockwell, allowing it to gather over 2000 measurement points each second while archiving time-series data in PostgreSQL or TimescaleDB. Notable attributes include: - Dynamic real-time dashboards featuring gauges, charts, bar graphs, and tables for comprehensive data visualization. - Interactive trend analysis utilizing ECharts for visualization, enhanced with a drag-to-zoom function for user convenience. - Detailed reporting capabilities, with options for exporting data in CSV and PDF formats. - The ability to schedule automated reports on a daily, weekly, monthly, or custom basis to streamline operations. - AI-driven data analytics, powered by a local Ollama LLM, enabling insights into anomalies, forecasts, cost optimization, and tailored reports, all without reliance on cloud services. - Management of OPC UA alarms and conditions, accompanied by analytical tools and options for data export. - Facilitation of reading OPC UA history directly from the server's historian for efficient data retrieval. - Support for calculation circuits, including both cumulative and non-cumulative formulas to meet diverse analytical needs. - Features for transferring, copying, and merging tags between connections, enhancing flexibility in data management. - A robust TimescaleDB time-series database for optimized data storage and retrieval, ensuring efficient handling of extensive datasets. This comprehensive suite of features positions DataPort

Description

Analyzing time-series data is crucial for the daily functions of numerous businesses. Common applications involve assessing consumer foot traffic and conversion rates for retailers, identifying anomalies in data, discovering real-time correlations within sensor information, and producing accurate recommendations. With the Cloud Inference API Alpha, businesses can derive real-time insights from their time-series datasets that they input. This tool provides comprehensive details about API query results, including the various groups of events analyzed, the total number of event groups, and the baseline probability associated with each event returned. It enables real-time streaming of data, facilitating the computation of correlations as events occur. Leveraging Google Cloud’s robust infrastructure and a comprehensive security strategy that has been fine-tuned over 15 years through various consumer applications ensures reliability. The Cloud Inference API is seamlessly integrated with Google Cloud Storage services, enhancing its functionality and user experience. This integration allows for more efficient data handling and analysis, positioning businesses to make informed decisions faster.