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IoT Applied to Asset Management: Digitizing the Decision-Making Process with a Proactive and Intelligent System

This guide explains how connected devices and sensors can bring operational data into asset management. It moves from IoT and Industry 4.0 concepts to Manusis Insights, describing condition monitoring, business rules, utility consumption and the use of historical and real-time data in predictive maintenance.

  • From connected devices to assets. IoT links physical equipment and sensors to management systems, making operational information available for maintenance planning.
  • Insights and response rules. Manusis Insights is presented as a platform for dashboards, analytics and configurable alerts, reports, maintenance orders or service requests.
  • Predictive maintenance. The ebook describes combining historical records with live sensor data, including temperature and vibration, to understand asset condition.
E-book: IoT Applied to Asset Management: Digitizing the Decision-Making Process with a Proactive and Intelligent System

13 pages · PDFTechnology guide

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Overview

Connecting asset data to maintenance decisions

The ebook introduces the Internet of Things through devices that communicate and share data, then relates the concept to Industry 4.0 and maintenance management. It describes an industrial IoT project connecting heavy machinery to Manusis4 and explains how Manusis Insights can monitor critical assets, utility consumption and operating conditions. Later chapters discuss sensors, predictive maintenance and the role of historical plus real-time data in planning maintenance actions.

13pages
EnglishLanguage
PDFFormat

Inside the e-book

Topics covered in this material

01

IoT and Industry 4.0

Connected equipment extends automation by making information from machines and sensors available to management systems, supporting a more connected production environment.

  • Devices exchanging data
  • Industrial interconnectivity
  • CMMS and EAM context

02

Monitoring with Manusis Insights

The platform chapter covers registering machines, analyzing operating and consumption data, and defining rules that respond to changes in critical equipment.

  • Dashboards and analytics
  • Alerts, emails and SMS
  • Maintenance orders and service requests

03

Condition-based maintenance

Sensors can measure operating factors such as temperature and vibration. The ebook presents the combination of live readings and history as a basis for anticipating conditions and planning work.

  • Sensor readings
  • Historical and real-time data
  • Predictive maintenance planning

Key ideas

Concepts to take away

Connectivity

Industrial IoT

The use of networked devices and sensors to collect and exchange data from industrial assets and operations.

Maintenance

Condition monitoring

Following equipment parameters over time so teams can investigate anomalies and plan maintenance based on observed conditions.

When equipment data reaches maintenance teams in time, they can turn monitoring into planned action instead of waiting for a breakdown.

Inside the e-book

A look inside

Industry 4.0 and connected production. The chapter places IoT within the progression toward connected manufacturing and smart production.
Industry 4.0 and connected productionThe chapter places IoT within the progression toward connected manufacturing and smart production.
Rules for real-time response. Manusis Insights can apply business rules to trigger alerts, reports, maintenance orders and service requests.
Rules for real-time responseManusis Insights can apply business rules to trigger alerts, reports, maintenance orders and service requests.

IoT Applied to Asset Management: Digitizing the Decision-Making Process with a Proactive and Intelligent System

When equipment data reaches maintenance teams in time, they can turn monitoring into planned action instead of waiting for a breakdown.