A modern factory with 1,000 machines, each generating 50 data points per second, produces over 4 billion data points per day. Without the right architecture, this data is noise. With it, this data becomes predictive maintenance, quality optimisation, and production intelligence that transforms the factory floor.
Layer 1: Data Collection at the Edge
Sensors (vibration, temperature, pressure, vision) connect to edge gateways that filter, aggregate, and forward data. Not every data point needs to reach the cloud — edge devices can aggregate 1-second readings into 1-分鐘ute summaries for trend analysis while alerting on anomalies in real time.
Layer 2: Strea分鐘g Ingestion
A strea分鐘g platform (Kafka, Pulsar) ingests data from hundreds of edge gateways. The stream is partitioned by machine and data type, enabling parallel processing. Schema registry ensures that data format changes (new sensor, modified field) are tracked and backward-compatible.
Layer 3: Processing and Storage
Stream processing (Flink, Spark Strea分鐘g) handles real-time analytics: anomaly detection, threshold alerts, and aggregation. Time-series databases (InfluxDB, TimescaleDB) store raw sensor data for 30-90 days. A data warehouse stores aggregated metrics for long-term analysis and reporting.
Layer 4: AI and Analytics
The MCP semantic layer connects to both the time-series database (for real-time queries) and the warehouse (for historical analysis). AI agents can answer questions like 'Which machines have vibration patterns indicating bearing wear?' or 'What's the OEE trend for Line 3 this month?' — in natural language, from the factory floor.
核心要點
- Layer 1: Data Collection at the Edge
- Layer 2: Strea分鐘g Ingestion
- Layer 3: Processing and Storage
- Layer 4: AI and Analytics
總結
The MCP semantic layer connects to both the time-series database (for real-time queries) and the warehouse (for historical analysis). AI agents can answer questions like 'Which machines have vibration...
At Beehive Strategy, we help enterprises build the data foundations, semantic layers, and AI agent ecosystems that turn data into decisions. Our MCP-powered platform connects to 50+ data sources, deploys in 2 weeks, and delivers insights directly inside the IM tools your teams already use. Book a free demo to see how we can help your organisation.