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TOLTEM

Emerging Technologies — Live

IoT-Based Smart Office Solution

A smart office system using IoT sensors, machine learning and automated controls to manage energy use, security and occupant comfort.

Client
Corporate Towers Lagos
Duration
6 months
Team
8 developers
Timeline
2023
01

Impact

Energy SavingsReduction in energy costs
30%
Space EfficiencyImproved utilisation
25%
IoT SensorsDeployed sensors
200+
Predictive AccuracyMaintenance predictions
95%
02

The challenge

Office buildings had high energy costs, inefficient space use, and manual facility management that was expensive and reactive rather than preventive.

  • Sensor Integration

    Connecting varied IoT devices and protocols

  • Data Processing

    Handling real-time data from hundreds of sensors

  • Legacy System Integration

    Connecting with existing building management systems

03

What we did

IoT sensors throughout the building feeding a central monitoring system, with predictive analytics and automated control of lighting, HVAC, security and space.

01

IoT Gateway Architecture

One system managing devices that speak different protocols

  • Protocol translation
  • Device management
  • Data aggregation
  • Edge computing
02

Predictive Analytics Engine

Machine learning tuning building operations ahead of demand

  • Energy optimisation
  • Predictive maintenance
  • Occupancy prediction
  • Automated controls
04

Delivered

Features

  • Real-time monitoring dashboard
  • Automated lighting control
  • HVAC optimisation
  • Occupancy tracking
  • Security integration
  • Energy analytics
  • Predictive maintenance
  • Mobile management app
  • Alert system
  • Reporting tools

Technology

frontend
React, TypeScript, D3.js, Real-time Charts
backend
Node.js, Python, MQTT, Machine Learning
data
InfluxDB, PostgreSQL, Redis
infrastructure
AWS IoT, Lambda Functions, API Gateway
integrations
IoT Sensors, Building Management Systems, Energy Meters, Security Systems
05

Outcomes

  • 30% reduction in energy costs
  • 25% improvement in space utilisation
  • 200+ IoT sensors integrated
  • 95% accuracy in predictive maintenance
  • Zero system downtime recorded
  • Return on investment achieved in 18 months

What we took from it

  • IoT integration depends on standardised protocols
  • Predictive analytics produce real cost savings
  • Real-time monitoring improves decision making
  • Occupant comfort improves alongside automation

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