Strongly supporting the IoT transformation of the manufacturing industry! Data can be sent to the server, enabling service integration.
We handle "SpeeDBee HIVE." It collects information from sensors and PLCs through a collector. Data with different sampling rates is aggregated into a specified format, allowing for real-time data analysis such as basic statistics and FFT, while simultaneously persisting it in a time-series database. The persisted real data and analysis data can be sent to cloud/on-premise servers via an emitter, enabling service integration. 【Features】 - A tool for data collection, analysis, and cloud integration in IoT - Persisted real data and analysis data can be sent to cloud/on-premise servers for service integration - Data integration with peripheral systems (such as business applications) is also possible *For more details, please refer to the PDF materials or feel free to contact us.
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basic information
Main features provided by Hive: ■ Collector ■ Data aggregation and real-time analysis ■ Emitter ■ OPC UA service ■ DB service ■ DB replication service *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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We offer the embedded database engine "SpeeDBee," which is optimal for various data management models such as relational models, KVS models, and time-series models. The latest time-series model features a consolidation function that handles data with different sampling rates on the same time axis, real-time analysis capabilities that perform basic statistics/FFT analysis in units of a fixed number of records while ingesting data, a persistence function that periodically saves data to storage, and support for OPC UA for integration with higher-level systems, as well as replication. Additionally, we provide middleware "SALTYSTER," which implements the above database engine and supports IoT and edge computing. This solution addresses various issues that become bottlenecks during IoT implementation, such as packet communication costs, cloud capacity constraints, high-speed big data processing, and development productivity. We have numerous adoption records with manufacturers developing and producing FA equipment, measuring instruments, home appliances, network devices, medical devices, and machine tools, as well as system development companies (Sier). Our company also has extensive experience in system development ranging from embedded systems to web, mobile, and AI analysis. Please contact us for consulting on data management and system development.
