MiningOps Copilot — AI for Mining Operations

Operations copilot for mining with local LLM, equipment monitoring, anomaly analysis, and automated operational report generation — without exposing data to the cloud.

Data inference

100% local

sensor data never leaves the perimeter

Supported sensor types

vibration, temperature, pressure, flow

Output formats

report, alert, query response

Challenge

Mining operations generate massive sensor data volumes, but analysis is slow, manual, and dependent on scarce specialists. Critical operational data cannot leave the site perimeter.

Solution

Local LLM via Ollama processes sensor data in real time, detects anomalies, generates operational reports, and answers natural language queries — on-premise infrastructure with TimescaleDB for time-series data.

Key outcomes

Local inference with data inside the operational perimeter (no cloud)
Sensor data anomaly analysis with contextualized LLM
Automated operational report generation in natural language
Field operator query interface in Portuguese

casesPage.labels.architecture

A solução foi construída sobre uma base técnica resiliente, priorizando performance e escalabilidade. Cada camada foi otimizada para os requisitos específicos do projeto.

Python

FastAPI

LangChain

Ollama

TimescaleDB

PostgreSQL

Docker

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