Heterogeneous device connectivity
A unified adaptation mechanism was needed across many PLC types and field protocols.
Renewable Energy / Edge Computing
Field data available in real time,
intelligence running at the edge
For industrial sites with many PLC and device types, an industrial-grade intelligent terminal that sustains millisecond acquisition across thousands of tags with a low load on the PLC, combining protocol adaptation, edge AI inference and remote coordination.
About anonymized cases
Under client confidentiality agreements, this page omits client names, locations and real production data; screenshots are anonymized and serve only to illustrate the engineering experience gained.
Project background
Starting from real operating problems,
we set the delivery boundary.
Device protocols, data rates and network conditions vary across sites, while the cloud platform needs a stable, uniform and manageable data entry point — and some analysis and inference must happen on site.
Real-time behavior at scale
Beyond a thousand tags, millisecond acquisition, local computation and continuous operation through network instability all had to hold — without heavier sampling burdening the PLC.
Algorithms running on site
Edge AI models had to be deployable, updatable and observable within constrained resources.
Our scope
Around the core chain,
from architecture through delivery.
This page shows only the key delivery content; the commercial scope is governed by the signed project documents.
Edge software framework
Designed the software architecture for device connectivity, data processing, task execution and remote management.
Protocol and data adaptation
Built adaptation for Modbus TCP, OPC UA, IEC 61850 and DL/T 645, plus data mapping, quality checks and buffering.
Edge AI inference
Deployed inference tasks to the field terminal, managing models, versions and runtime status.
Platform coordination
Two-way coordination of data, alarms, configuration and operational logs with the upstream platform.
System chain
Connecting site, data and applications
into a working whole.
The diagram is an anonymized summary, showing the main objects and technical relationships in the project.
Data & business sourcesPLCs & controllersSensorsField devices
Edge & execution layerEdge computing terminalProtocol adaptationData computationAI inference
Platform & business applicationsRemote configurationCondition monitoringPlatform data services
Core engineering challenges
The real value
sits in the difficult details.
Project experience is not just finished feature pages — it is handling site constraints, data quality and long-term operation.
Millisecond acquisition across thousands of tags
Acquisition tasks were organized for thousand-tag scale, holding a millisecond cadence under field conditions through batched tag scheduling, concurrent execution, buffering and resumption after interruption.
Low PLC resource usage
Connection reuse, merged tag reads and report-by-exception cut request volume and communication load, keeping acquisition from interfering with the controller's own operation.
Remotely maintainable
Acquisition, computation, inference and upload tasks run continuously while retaining configuration, version, log and health status for remote maintenance and diagnosis.
Business capabilities gained
No inflated numbers —
only what actually changed.
Standardized field data
Data from many device types becomes a uniform service the upstream platform can rely on.
Intelligence moved forward
Analysis and inference needing real-time response complete on site.
Unified terminal management
Device configuration, versions and runtime status join the remote coordination system.
Transferable experience
Proven engineering experience,
ready for new environments.
- 01Edge connectivity for wind and solar plants
- 02Industrial device protocol adaptation
- 03On-site AI inference and model operation
- 04Edge-cloud coordination and remote maintenance
Project consultation
Clarify the business problem first,
then decide how the system should be built.
Tell us the business problem to solve, your existing systems and the outcome you expect — we usually reply within 1 business day.