This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of IoT-Based Water Quality Monitoring and Automation Platform

limestonedigital.com

Environmental Services

Utilities

Information Technology

Current System Limitations

Existing water quality monitoring system suffers from manual data processing bottlenecks, limited real-time capabilities, complex telemetry interpretation, and insufficient device management tools. System handles 40+ water parameters updating every 10 seconds but lacks automation and scalability for commercial deployment.

About the Client

Water quality monitoring organization requiring system modernization for real-time data processing and market readiness

Key Project Goals

Automate data processing workflows
Enable real-time monitoring capabilities
Implement scalable device management system
Create market-ready IoT solution
Reduce manual R&D team workload

Core System Requirements

Multi-phase device operation tracking
Interactive geolocation mapping with status indicators
Role-based access control (RBAC) system
Real-time data visualization with preset filters
Telemetry error translation and notification center
Centralized device management dashboard
Comprehensive analytics for 40+ water parameters

Technology Stack

MongoDB

AngularJS

IoT middleware integration

System Integrations

Telemetry data translation middleware
Remote device communication protocols
Geolocation mapping APIs

Non-Functional Requirements

Support for 100+ concurrent devices
Real-time data processing within 10-second intervals
High-availability backend architecture
Role-based security controls
Scalable data storage solution

Expected Business Impact

Automated data processing will reduce manual R&D workload by 70%, enable real-time water quality monitoring for 100+ devices, and position ColiMinder as a market-ready IoT solution. Implementation of RBAC and notification systems will improve operational efficiency while maintaining data security and compliance.