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Connected Field Service: Predictive Maintenance of Industry Assets

  • January 17, 2025
  • 282 Views

In this blog post, we will walk you through the practical implementation of connected field service using KAISPE Field Service app, IoT Device Web Portal, Microsoft Azure IoT and Power BI. We will discuss how all of these components integrate and work together to achieve predictive maintenance for industrial assets.

What is Connected Field Service?

Connected Field Service is an innovative solution that integrates the Internet of Things (IoT) with field service operations. This helps businesses manage and maintain their assets. They can monitor their assets by connecting IoT-enabled devices to a centralized platform. Thus, helping them detect anomalies, and take proactive measures to prevent failures. This integration enables automated workflows, such as generating maintenance requests or requesting technicians. Connected field service not only improves business operations and reduces downtime but also improves customer satisfaction. As it helps deliver timely, intelligent, and predictive maintenance services.

Importance of Predictive Maintenance

Predictive maintenance for connected field assets helps organizations move from reactive measures to proactive service model with the help of IoT. This happens through collecting real-time data using IoT devices to help identify issues that may occur in the future, thus, preventing from costly repairs. This not only reduces downtime but also cuts down maintenance expenses and makes sure that operations move smoothly. Additionally, predictive maintenance enhances customer satisfaction through timely issue resolution and builds trust with transparent, informed service delivery.

Benefits of Predictive Maintenance

  1. Cost Efficiency: Predictive maintenance helps avoid expensive repairs and replacement costs by addressing problems early.
  2. Increased Uptime: Real-time monitoring and quick response ensure equipment remains operational, minimizing production delays.
  3. Safety Improvements: Identifying issues before they escalate prevents accidents, ensuring worker safety.
  4. Sustainability: Efficient maintenance reduces energy consumption and waste, supporting environmental goals.

With these benefits in mind, we’ll move forward into exploring real use cases of connected field service and how it utilizes predictive maintenance. We will be referring to:

KAISPE Field Service App

It is an AI-based power app that utilizes Agentic AI and Copilot to empowers field service teams to conduct inspections and services swiftly and securely using devices. It caters various industries, to manage services including facilitating inspections in construction sites, factory assets, infrastructure, and public works scenarios.

https://appsource.microsoft.com/en-us/product/dynamics-365/kaispellc.kspfiapp?tab=Overview

KAISPE IoT Device Portal

KAISPE IoT Portal is a fully functional web portal that allows users to manage and maintain IoT devices. It helps to create telemetry rules and examine device telemetry notifications, among other features. The portal leverages Microsoft Azure IoT as the underlying IoT platform.

https://azuremarketplace.microsoft.com/en-us/marketplace/apps/kaispellc.kaispe_iotwebportal?tab=Overview

KAISPE Power BI Dashboard

KAISPE Air Compressor dashboard’s design gives useful insights into air compressors health and maintenance requirements. Using this dashboard, customers can monitor and maintain the air compressors, installed on various locations and sites.

How Connected Field Service Achieves Predictive Maintenance

Integration of IoT and Field Service

Let’s take an example of an industrial grade air compressor. The compressor is already installed in a factory and needs to be monitored for any upfront maintenance needs. Sensors on the compressor emit the relevant telemetry information and this information comes into the device portal through Azure IoT. The Field Service app records the compressor as the customer asset and lists it in the IoT Device Portal as well. Field Service app is integrated with the device portal, so any violation of the rule(s) specified in the device portal will come as a notification to the Field Service app that will ultimately trigger the predictive maintenance job.

Monitoring and Maintenance with Real-Time Insights

There is a rule created in the device portal that says that the compressor temperature MUST be between 60 F and 80 F. On a typical production day, the compressor temperature shoots to 82 F and 85 F. When this telemetry reaches the device portal in real time, the relevant rule is kicked in and violated twice. That comes as a notification in Field Service app and based on the configuration settings, a maintenance job is created with relevant resources (frontline workers, maintenance equipment and tools) and assigned to the corresponding frontline team. The team visits customer assets on a scheduled date/time and addresses any potential issue upfront.

Connected Field Service IoT Device Portal Dashboard

Connected Field Service IoT Device Portal Notification Dashboard

To continuously monitor the health of the compressor, field staff can also use Microsoft Power BI based dashboard. The dashboard provides the near real time analytics to get more relevant insights about asset’s health.

Connected Field Service IoT Air Compressor Monitoring Dashboard

Understanding the Solution Architecture

The high level solution architecture highlights the integration of IoT devices, Azure IoT Hub, Blob Storage, Power Automate, and SharePoint. This setup enables efficient two-way communication within the ecosystem.

IoT devices continuously send telemetry data to Azure IoT Hub, which serves as the central hub for data ingestion and management. Then, Blob Storage stores the data for processing and analysis. Using Power Automate, the stored data triggers actions to generate records in SharePoint, a key part of the Field Service system. The integration also allows communication back to the IoT devices when required, creating a feedback loop that improves operational efficiency and supports real-time decision-making.

Connected Field Service IoT Device Portal Architecture Diagram

Future of Predictive Maintenance

The integration of predictive maintenance and connected field services is just the beginning. With advancements in AI and machine learning, businesses will soon be able to predict failures with even greater accuracy. Features like digital twins, which replicate physical assets in a virtual environment, will allow for advanced simulations and proactive planning. By combining these innovations with IoT systems, the future of industrial automation looks promising, offering unparalleled efficiency and resilience.

Conclusion

Using KAISPE solutions and services, businesses can improve the operational efficiency of physical assets through the application of specialized apps and analytics, resulting in reduced operating and maintenance costs, while improving uptime and production.