Predictive maintenance and service means that, with the help of sensors and data analysis, automatically control the optimal time when different maintenance and service actions shall be performed.

Traditionally, organisations uses a scheduled maintenance structure leading to that maintenance tasks are performed more often or less often than necessary. Maintenance teams might be wasting time doing unnecessary work – worse not doing necessary work at all. In addition, maintenance tasks and frequencies are often based on opinions and “what we have always done” — rather than sound assumptions.

Predictive maintenance and service instead means performing maintenance at the just right time, and to truly be predictive, organisations require a real-time understanding of how their products are performing, how their surroundings affect performance, and how products compare against similar products.

Sensor data-driven insights enable organisations to transform their approach from scheduled maintenance to predictive maintenance — enabling maintenance teams to receive automatically triggered preventative actions from Docfactory when certain conditions occur.

By implementing predictive maintenance and service using Docfactory and Internet of Things you may obtain several benefits:

  • Prevent costly equipment failures: Avoid unscheduled downtime by analysing streaming data to assess conditions, recognize warning signs and trigger preventive actions.
  • Maximize uptime: Increase the efficiency of your product by strategically schedule maintenance.
  • Learn - to improve products: Capture and analyse data and use it to fine-tune processes, maintenance actions and make modifications that improve the product.
  • Offer new services to customers: Create new business models and a better customer experience by offering proactive monitoring and predictive maintenance as a service.

Read more about Micropower's IoT initative using Docfactory IoT.

Research projects

Sigma is involved in two research projects in the area of Internet of Things and predictive maintenance. Focus is the interaction and information exchange between humans and IoT devices.

Internet of Things and People (IOTAP) is a research center at Malmö University. IOTAP’s vision is to be the leading research environment in making the Internet of Things useful and usable. The research at IOTAP is carried out in application areas such as energy, transportation, health, learning, and home automation. Research and development for these application areas is done through projects where researchers, industry partners, and users work together.

For more information, visit Internet of Things and people research center.

The overall vision of the project is to give the growing aging population greater influence over their own situation and to stay longer in their own homes. It includes both security techniques and the ability to handle chronic diseases through distance care and self-care. The project involves a new thinking using existing and new technologies to establish smart communication solutions that enable foresight and preventive efforts.

For more information, visit From empowering to viable living (FRONT-VL).