Challenges of OT Data Integration
Key hurdles faced by enterprises in integrating operational technology (OT) data
The communication protocols are complex and the equipment specifications vary.
The coexistence of various old and new equipment, inconsistent communication protocols, and the need for customized development and integration have resulted in time-consuming and labor-intensive deployment.
Data processing and cleaning difficulties
The original OT data is in a messy format and needs to be converted, aligned, cleaned, and imputed. Without ETL tools, it would be difficult to perform large-scale analysis.
Application development is difficult to implement
Even after data integration is completed, the application development and deployment process still lacks standardization, resulting in high system maintenance and replication costs.
Lack of human and budgetary resources
OT/IT integration requires a high level of expertise, and it is difficult for enterprises to build cross-domain teams, leading to delays or abandonment of the implementation.
Why OT data is important
Improve your productivity and decision-making quality through industrial operational technology data.
Reflecting the true state of the scene
OT data records the operation and malfunctions of the equipment, providing a basis for real-time on-site decision-making.
Filling the IT data gap
When paired with ERP/MES systems, it can fill the gaps in first-hand information that IT cannot grasp.
Key data sources for AI models
Provides key training samples for machine learning and predictive maintenance models.
Breaking down communication barriers between OT and IT
Transforming OT data into a common language, OT and IT work together to achieve digital transformation.
How does NeoEdge's OT Data ETL work?
Designed specifically for the Industrial Internet of Things (IIoT), our ETL solutions comprehensively meet your OT data needs, from data acquisition and transformation to loading.
EXTRACT
Extracting device and sensor data from multiple communication protocols
TRANSFORM
Data cleaning, unit conversion, and format conversion—no programming required.
LOAD
Data can be distributed and sent to designated IT systems (cloud, ground, and database) according to different needs.
Real-time capture of multiple communication protocols
ExtractConnect to and capture data from various industrial devices, seamlessly integrating them into your OT environment.
- Supports multiple communication protocols such as Modbus, OPC UA, Melsec, and BACnet.
- No need to develop your own data acquisition program; quickly interface with heterogeneous devices and easily acquire field equipment data.
- Import tags from CSV files and easily set data points and data retrieval frequency.
No-Code OT Data Processing
TransformQuickly create OT data flows through the GUI drag-and-drop interface of NeoFlow, the built-in No-Code Rule Engine.
- No code writing is required; simply drag and drop nodes to complete the data acquisition, processing, transformation, and output process.
- It has built-in multiple computing modules, such as basic operations, condition setting, data segmentation, and type modification, to achieve multi-dimensional data processing.
- It supports batch deployment, allowing you to apply a pre-designed data flow to multiple gateway nodes, improving deployment efficiency and consistency.
Supports integration of multiple IT systems
LoadThe processed data can be flexibly output to various target systems to meet different application needs.
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Data can be sent to:
- Cloud platforms (AWS, Azure, GCP, etc.)
- Private databases (PostgreSQL, InfluxDB, MSSQL, etc.)
- Local MES/SCADA system
- Each data stream can be configured with different forwarding rules, supporting traffic splitting, encryption, and caching.
Suitable for various deployment scales
ScalabilityFrom single devices to large factories, it can flexibly scale to meet deployment needs of different sizes.
- A consistent data flow architecture can be easily established in environments ranging from single machines to hundreds of devices.
- ETL rules can be deployed to all edge nodes with a single click, ensuring logical consistency and unified governance.
- The highly modular design facilitates future maintenance and functional expansion.