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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

OpenTSDB comprises a Time Series Daemon (TSD) along with a suite of command line tools. Users primarily engage with OpenTSDB by operating one or more independent TSDs, as there is no centralized master or shared state, allowing for the scalability to run multiple TSDs as necessary to meet varying loads. Each TSD utilizes HBase, an open-source database, or the hosted Google Bigtable service for the storage and retrieval of time-series data. The schema designed for the data is highly efficient, enabling rapid aggregations of similar time series while minimizing storage requirements. Users interact with the TSD without needing direct access to the underlying storage system. Communication with the TSD can be accomplished through a straightforward telnet-style protocol, an HTTP API, or a user-friendly built-in graphical interface. To begin utilizing OpenTSDB, the initial task is to send time series data to the TSDs, and there are various tools available to facilitate the import of data from different sources into OpenTSDB. Overall, OpenTSDB's design emphasizes flexibility and efficiency for time series data management.