Measure at equipment level
Submeters and IoT sensors reveal which pumps, motors, compressors, production lines, HVAC systems, or process loads are consuming the most energy.
Gliss Technology provides AI-powered Energy Management Systems (EMS), Industrial IoT hardware, energy monitoring, Maximum Demand management, and predictive maintenance solutions for factories, water treatment plants, oil & gas facilities, manufacturing sites, data centres, and other energy-intensive operations in Malaysia.
An Energy Management System does more than display kWh. A well-implemented EMS shows where energy is used, when waste occurs, which assets are driving cost, and what operational changes can reduce consumption. Gliss360 combines this visibility with AI-generated recommendations.
Submeters and IoT sensors reveal which pumps, motors, compressors, production lines, HVAC systems, or process loads are consuming the most energy.
The system compares current behaviour against operating baselines to highlight unusual consumption, inefficient runtime, idle loads, or deteriorating equipment performance.
AI suggestions help management and engineers decide where to adjust schedules, sequence loads, inspect equipment, reduce unnecessary runtime, or change operating practices.
In many industrial operations, the highest demand occurs when several high-power machines run at the same time. An EMS helps operators see these peaks as they develop and understand which equipment is contributing to them.
Every plant is different. The best opportunities are identified after reviewing actual operating data, equipment behaviour, process constraints, and management priorities.
The AI learns the plant's energy patterns, operating schedules, equipment behaviour, and historical anomalies. It can then act as a continuously available energy-management assistant for engineers and management.
Gliss Technology can deploy EMS and Industrial IoT solutions for both focused equipment-level projects and wider plant digitalization programs.
Gliss360 is built to identify and support electricity cost reduction, but the final result depends on implementation. Management and plant teams must be willing to use the system, support relevant corporate policies, review the AI recommendations, and implement approved operational changes while respecting safety, production, water-quality, process, and regulatory requirements.
An industrial EMS is a combination of metering, sensors, data infrastructure, dashboards, analytics, and operating processes used to understand and improve energy performance across equipment, production areas, or an entire facility.
It can identify waste, unnecessary runtime, abnormal consumption, inefficient equipment behaviour, and high-demand overlap. The largest benefit comes when management and plant teams use the information to implement suitable operational improvements.
Real-time monitoring shows when plant demand is approaching a new peak. Operators can then evaluate whether non-critical loads can be delayed, sequenced, or rescheduled to reduce unnecessary simultaneous high-power operation.
Yes. We provide and install Industrial IoT hardware including energy meters, submeters, industrial gateways, vibration sensors, temperature sensors, and related hardware used for EMS and predictive maintenance applications.
Yes. The system can be designed around existing electrical infrastructure, equipment, operating processes, and data sources. The implementation scope can range from selected critical assets to a full facility.
Yes. The AI can analyze live and historical data to suggest actions such as changing operating schedules, reducing peak-load overlap, investigating abnormal equipment consumption, or prioritizing maintenance. Plant personnel remain responsible for validating and implementing operational changes.
Gliss Technology Sdn Bhd provides AI-powered EMS, Industrial IoT hardware supply and installation, Maximum Demand monitoring, predictive maintenance sensing, and custom industrial digitalization solutions.
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