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Development of IoT Remote Monitoring Solution with Real-Time Dashboard and Cloud Integration

verytechnology.com

Energy & natural resources

Utilities

Manufacturing

Challenges with Existing Monitoring Infrastructure

Saunders Electric's existing power monitoring system relied on a C++ utility interfacing directly with Modbus, providing only real-time visibility into Power Distribution Units (PODs) without historical data storage or remote monitoring capabilities. This limited proactive maintenance, centralized reporting, and scalability for future analytics.

About the Client

Provider of portable power solutions and energy-saving systems for live broadcasts, Hollywood productions, and industrial applications since 1952.

Objectives for Enhanced Monitoring Solution

Leverage existing Modbus interfaces and local network hardware for seamless integration
Enable real-time data visibility for onsite operators to monitor power quality and utilization
Implement automated alerts for out-of-range input levels to prevent service disruptions
Centralize data aggregation in the cloud for future analytics and cross-POD reporting

Core System Functionalities

Real-time dashboard for power metrics (input/output levels, utilization rates)
Automated SMS/email alerts for threshold breaches
Local data storage with SQLite and cloud backup via AWS S3
MQTT-based data streaming to AWS for analytics
Modbus protocol integration for hardware communication

Technology Stack Requirements

Python

Flask

React

AWS

SQLite

MQTT

Raspberry Pi

External System Integrations

Modbus interface
AWS Lambda
Twilio SMS API
Mender for OTA updates

Non-Functional Requirements

Edge device scalability for multiple POD deployments
Offline-first architecture with local data persistence
End-to-end encryption for data transmission
Low-latency real-time monitoring (<1s updates)
Automated system updates with zero downtime

Expected Business Impact

Deployment of this solution will enable proactive power management through predictive analytics, reduce manual reporting efforts by 70%, and improve customer reliability via real-time alerts. Centralized cloud data will empower cross-functional teams (operations, sales, management) with actionable insights for optimizing energy distribution and demonstrating ROI to clients.