From data
to decisions
lvsota (綠世得科技有限公司) connects equipment from multiple vendors and existing systems, builds energy management and field operations systems, and adds LLM applications on top of the existing setup.
Where to start
- Our data is spread across different systems and needs to be brought together. Equipment and data integration
- Our equipment needs regular inspections, with maintenance and closeout records linked. Field operations systems
- We want to use AI to search equipment manuals and maintenance records. AI implementation
Industrial rooftop solar
Monitoring and data integration
This case involves an industrial rooftop solar site. lvsota is responsible for monitoring and data integration. The photo shows solar modules, a central service walkway, and site wiring.
AI and automation
applications
lvsota connects LLMs to equipment and energy data so teams can ask questions in plain language, analyze anomalies, draft reports, and search maintenance manuals.
Energy data analysis
LLMs answer queries about energy use, equipment status, and event data in natural language.
LLMs organize equipment alerts and records to help explain anomalies and possible causes.
Application 03 Reporting assistanceDraft internal reports and working papers from energy, emissions, and management indicators, following the company's existing formats.
Application 04 Load forecastingStatistical models forecast load from historical records; LLMs turn the results into scheduling reference notes.
Application 05 Maintenance knowledge retrievalLink equipment manuals and past maintenance records so a fault description finds the matching section and earlier fixes. Qualified personnel perform field work under approved procedures.
Enterprise LLM implementation and custom development for internal knowledge assistants and document or report automation.
Project planning and
delivery options
Discuss project requirements, system implementation, or a proof of concept.