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.

IoT Platform Enhancement for Medical Cart Monitoring and Alerting

altoroslabs.com

Medical

Office

Educational

Government

Challenge: Maintaining a Scalable and Functional IoT Platform for Medical Carts

Haworth's existing IoT platform, supporting 100 medical carts, is facing challenges due to the impending termination of the Xively platform. Key issues include the need for a migration without firmware modifications, slow database query performance exceeding 3 seconds, and the absence of crucial alerting functionality for operational errors, low battery, and system updates. These issues pose a significant risk to the reliability and usability of the medical carts.

About the Client

Haworth is a global company specializing in innovative solutions for healthcare, office, educational, and governmental institutions, focusing on human-centered design and IoT technology.

Project Goals: Modernize and Enhance IoT Platform for Medical Carts

Migrate the existing IoT solution from Xively to a new, sustainable platform.
Improve database query performance to consistently meet or exceed a 3-second limit.
Implement comprehensive alerting functionality for critical medical cart status indicators (errors, low battery, system updates).
Ensure minimal disruption to existing medical cart firmware through a non-invasive migration approach.

Functional Requirements

Real-time data ingestion from medical carts.
Data filtering and aggregation.
Database query optimization to ensure sub-3-second response times.
Configurable alerting rules for various events (errors, low battery, updates).
Alert notification mechanisms (e.g., email, SMS, dashboard).
Secure data storage and access control.
Firmware update management capabilities.

Preferred Technologies

Google Cloud Platform (GCP)

Google IoT Core

Google Cloud Functions

Google Cloud Pub/Sub

BigQuery

TypeScript

HTML

CSS

Node.js

React

Required Integrations

Medical cart firmware (existing)
Alerting notification services (e.g., Twilio for SMS, SendGrid for email)
Potentially existing Haworth enterprise systems (e.g., for reporting and analytics)

Key Non-Functional Requirements

Scalability: The platform must scale to support future growth in the number of medical carts.
Performance: Low latency for data ingestion, processing, and alerting.
Security: Secure data transmission and storage.
Reliability: High availability and fault tolerance.
Maintainability: Easy to maintain and update.

Expected Business Impact

This project will ensure the continued reliable operation of Haworth's medical cart IoT solution, preventing service disruptions and maintaining customer satisfaction. The improved query performance and alerting capabilities will enhance operational efficiency, reduce downtime, and enable proactive maintenance. The successful migration to a modern platform will also position Haworth for future IoT innovation and expansion.