Fault diagnosis and predictive maintenance
Connect alarms, trends, manuals and maintenance records to produce reviewable diagnosis and maintenance guidance.
SOLUTIONS
Each solution defines the target, engineering path, deliverables and safety boundary before implementation.
Each solution defines the target, engineering path, deliverables and safety boundary before implementation.
This overview is translated for international visitors. Detailed technical and contractual wording follows the Chinese version.
Connect alarms, trends, manuals and maintenance records to produce reviewable diagnosis and maintenance guidance.
Integrate cameras, inspection stations and batch records for traceable results with human review.
Unify control, acquisition, recipes, alarms, reports and permissions in maintainable industrial software.
Relate quality, cycle time, energy and process parameters, then validate recommendations in controlled trials.
Identify noise, drift and abnormal trends without replacing required calibration or protective instrumentation.
Turn approved manuals, maintenance history and process documents into source-linked answers for field teams.
Add data and analysis in layers while preserving existing safety logic, rollback paths and limited shutdown windows.
CURRENT BOUNDARY
Adds 32 non-Google models: 27 text models, Mistral Document AI, three embedding models and Sora 2. Update to Connector 1.0.86.0 and enable each plugin and its API key permission. Text API: 34 models; Codex menu: 32 models with tools. Phi and Llama support API questions only. Documents: 30 MB and 30 pages. Knowledge: selected local text files, citations and reusable local indexes. Video: 4/8/12 seconds, 720p, matching reference images and completed-video remix. Download videos promptly. Completed usage is billed; cached reads are free. Google and model-router remain excluded. Equipment identities, protocols, operating data, agents and control remain in customer-authorized local, edge or private environments. The public website introduces the service; it is not a cloud equipment-control platform.