Lubi
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Project Overview

Customer Focus

A large scale manufacturing unit operating multiple electrical panels required better control over its energy consumption. With rising energy costs and increasing focus on operational efficiency, the client needed deeper visibility into electrical usage patterns. Their goal was to transform energy data into actionable intelligence to improve decision making and reduce unnecessary power consumption across departments.

Requirement

The client required a centralized system to continuously monitor electrical parameters across all panels in real time. They needed a unified platform for visualizing energy consumption, tracking department wise usage, and generating historical reports. The expectation was to enable proactive monitoring, detect abnormal conditions, and create a data driven approach for optimizing plant energy performance.

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Challenges

Energy data was fragmented and limited to individual meters, making analysis difficult. Manual data collection increased dependency on operators and reduced accuracy. The absence of historical data restricted long term planning and optimization. Lack of centralized visibility created delays in identifying inefficiencies and abnormal consumption patterns.

Key Operational

  • No centralized monitoring across panels
  • High dependency on manual data recording
  • No real time alerts or analytics capability
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Our Solution

Lubi Electronics engineered a centralized energy intelligence platform powered by ControlX scada, enabling seamless integration of multiple digital energy meters through Modbus communication. The platform establishes a real time data acquisition and visualization layer, converting raw electrical parameters into structured insights. It empowers plant teams with continuous monitoring, analytical dashboards, and data driven operational control.

Solution Architecture Highlights

  • Real time monitoring of voltage, current, power, and consumption
  • Panel wise and department wise energy visualization
  • Historical data logging with trend analysis and intelligent reporting
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Key Outcomes / Business Impact

The deployment redefined energy management from a reactive process to an intelligence driven operational function.
  • Centralized visibility across entire electrical network
  • Elimination of manual meter reading dependencies
  • Faster identification of energy intensive equipment
  • Improved efficiency through data backed optimization
  • Foundation for scalable digital transformation initiatives
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