Overview

Predictive maintenance involves using data and analytics to predict when equipment or machinery is likely to fail, allowing for timely maintenance to prevent unplanned downtime. We have put together the power of Siemens - Senseye’s Predictive maintenance with Mendix’s Maintenance and Field Service Management template to enable the process to be more efficient. In the context of predictive maintenance, Mendix’s Predictive maintenance application picks cases identified by Senseye’s asset intelligence software and redirects them to Maintenance and field service management template to streamline the scheduling and execution of maintenance tasks.

Documentation

Description

Predictive maintenance involves using data and analytics to predict when equipment or machinery is likely to fail, allowing for timely maintenance to prevent unplanned downtime. We have put together the power of Siemens - Senseye’s Predictive maintenance with Mendix’s Maintenance and Field Service Management template to enable the process to be more efficient. In the context of predictive maintenance, Mendix’s Predictive maintenance application picks cases identified by Senseye’s asset intelligence software and redirects them to Maintenance and field service management template to streamline the scheduling and execution of maintenance tasks.

Typical usage scenario

Use as starter application

Features and limitations

• Manage service notification from Senseye and handle them through Field Service Management
• Contains an implementation of the senseye connector.
• Connects to maintenance and field service Management

Dependencies

• Mendix 9.24.2 and up
• Senseye credentials
• FSM credentials

Installation

• Download the software

Configuration

• Set the constants for the APIKey for the Employee management module
• Set the constants for the Username and password of the SenseyeConnector
• Set the constants for the FSM integration (Username and password)
• Set the constant for the APIKey to get the demodata if needed