Remote Equipment Management

Monitoring and Management for Networked and
Distributed Equipment

Remote Equipment Management (REM) is a suite of predictive and proactive solutions that keep your organization operating at its peak through the:

Continuous monitoring of geographically distributed equipment
Real-time collection and interpretation of performance data
Delivery of diagnostic and repair solutions when and where they're needed

Pioneers in the development of applications to monitor and manage networked and distributed equipment, our REM capabilities extend to any system with remote equipment that is networked and monitored, has complex failure modes, and is supported by a field support organization. Features include:

Real-time remote equipment monitoring and diagnostics
Predictive maintenance
Business Intelligence Systems (Data Warehouse)
Geographic Information Systems (GIS) Dashboards
Mobile computing (custom applications for handheld devices with full call center or helpdesk integration)
Asset management (parts identification and ordering)
Work Order and Process Flow for Maintenance / Field Service Operations
Inventory and Logistics Management Interface

Remote Equipment Management solutions are ideal for these and other high-value systems:

Homeland Security
Chemical processing
Food processing
Manufacturing
Power systems management
Oilfield services

San Miguel Technology developed an equipment monitoring and management solution for a network of highly complex environmental sensors dispersed throughout the US. This REM solution filters massive amounts of real-time data and automatically directs the activities of field support technicians - often predicting problems before they occur. It supports a call center staffed with trained technicians and provides specialized engineering and biological analysis services. Solution features include:

Real-time monitoring across six time zones
Inventory and Logistics Management Interface
Geographic Information Systems (GIS) field support to spot regional issues w/ service and logistics
Mobile computing using Blackberry
Predictive maintenance up to a week in advance of failure
Thousands of work orders per week