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An IoT solution for manufacturing equipment monitoring
We developed a cloud-based IoT application for real-time monitoring of industrial manufacturing equipment performance and health.
Context
Our client is a US-based manufacturer of industrial machinery used in production and construction environments. The company’s customers struggled to track equipment performance, manage unpredictable maintenance schedules, and extend asset life cycles, leading to higher operational costs and increased downtime, impacting overall productivity. The manufacturer explored offering a complementary tool alongside its equipment that would not only deliver greater value to customers but also differentiate the client from competitors and support market expansion.
To address this, the company initiated the development of a monitoring solution and started by equipping machines with sensors and gateway devices to collect operational data. However, the effort stalled at the edge and cloud layers, leaving the client with no reliable way to process, store, and analyze the collected telemetry.
Client
Manufacturer of industrial machinery
Country
USA
Domain
Solution
Cloud-based IoT platform
Technology
Microsoft Azure, Python, .NET Core
EffectiveSoft was brought in to complete the IoT monitoring solution. This included implementing the edge layer for local processing and building the cloud platform for machine performance tracking and analytics. Our team started with a minimum viable product (MVP) and later expanded into full-scale development.
See also:
IoT development company
At EffectiveSoft, we leverage the power of IoT software development as well as the most recent development trends, platforms and tools to provide custom solutions for various businesses.
What we did
We developed a cloud-based IoT monitoring platform integrated with the client’s existing gateway devices and sensors. As part of the solution, we implemented an edge layer that collects telemetry from machines, performs local preprocessing, synchronizes data with the cloud, and uses local storage to buffer data during Internet outages, preventing telemetry loss and allowing the system to continue operation until the connection is restored.
The architecture is built around an Azure-based IoT platform to ingest data via IoT Hub, using Device Provisioning Service (DPS) for automated scale. Data flows through Event Hub and serverless processors to enable both real-time and batch processing. Recent data is stored in hot storage for instant access, while historical data is compressed and migrated to cost-efficient cold storage. The platform exposes data through APIs and web applications, with optional real-time streaming to dashboards using WebSockets.
The platform consists of the following key components and systems:
- IoT Edge devices: Bluetooth Low Energy (BLE) sensors, custom modules, Edge hub, Edge agent, and local app
- Web application: user interface (UI), admin web application
- Cloud infrastructure: Azure IoT Hub, Azure Event Hub, data processor, storage, data compressor
- Notification and alert system
- Monitoring and support system: audit logging, backup systems
- Security and authentication system
How it works
The cloud-based industrial equipment monitoring platform integrates seamlessly with sensors deployed on each machine across the production floor. The IoT Edge devices collect real-time data from BLE sensors that measure key operational parameters such as temperature, vibration, speed, and output. This telemetry is then securely transmitted to the cloud via Azure IoT Hub and processed for analysis and historical access. Local storage is used to buffer data during Internet outages, preventing telemetry loss and enabling the system to continue operation until the connection is restored, ensuring continuous connectivity and data synchronization.
The platform’s web application provides users (operators, managers, customer organization owners, and service teams) with intuitive dashboards that display critical metrics, performance analytics, equipment health insights, and recommended operating parameters.
Through the admin interface, platform administrators on the manufacturer’s side can manage users, machine types, and configuration profiles, ensuring efficient operations across multiple production sites.
See also:
Cloud Engineering
Cloud technology provides the agility, scalability, and cost-effectiveness needed for modern digital solutions. We build the foundation of your cloud environment through custom services, including cloud engineering consulting, app development, and more.
Impact
The solution gave the client end-to-end visibility into equipment performance across machines and sites, replacing manual tracking with real-time monitoring and data-driven maintenance planning. As a result, the client was able to extend equipment life by up to 20% by optimizing operating parameters such as machine settings, throughput rates, and load configurations. With better insight into equipment condition and wear pattern, maintenance became more predictable, reducing operational costs by up to 15% and unplanned downtime by up to 30%.
For the client, the new monitoring capabilities also created a stronger value proposition for their customers by enabling more reliable operations, longer asset lifespan, and better overall productivity.