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An IoT solution for saw blade monitoring
We developed a cloud-based IoT application for real-time monitoring of industrial saw blade wear and performance.
Context
Our client is a US-based manufacturer of saw blades used in industrial and construction environments. The company’s customers struggled to track blade performance, manage unpredictable maintenance schedules, and extend the product life cycle, leading to higher operational costs and increased downtime, impacting overall productivity. The manufacturer explored offering a complementary tool alongside its blades 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 bandsaws 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 saw blades
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 saw machine. The IoT Edge devices collect real-time data from BLE sensors that measure key blade parameters, such as blade temperature and speed. 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, blade wear insights, and recommended cutting parameters.
Through the admin interface, platform administrators on the manufacturer’s side can manage users, saw types, and material configurations, ensuring efficient operations across multiple 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 blade 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 blade life by up to 20% by optimizing cutting parameters such as blade type, cutting speed, and feed rate. With better insight into blade condition and wear patterns, 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 blade lifespan, and better overall productivity.