IoT System Development for Predictive Maintenance

IoT system development for predictive maintenance

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Project details :(Edge device):

Sensor integration and periodic data collection on the Raspberry PI device.
Local storage of the data.
Transfer of the data to Mobile using Bluetooth low-energy interface.
Client Functions :
Display Data in graphical formats.
Calculate the remaining life of the machine.
Calculate the next maintenance of the motor.

OBJECTIVE: Design and development of the complete IOT system for the collection of motor critical parameters like vibration and temperature data for predictive maintenance.

SCOPE OF WORK :

Raspberry Pi application periodically collects temperature and vibrational data from the sensors of the motors.
Android and iOS applications for getting the data from Raspberry Pi devices and storing/sending data to the Server.
Server-side application development for getting the data and showing it on the dashboard.
MOBILE APPLICATION DEVELOPMENT:
Android and iOS applications to collect the data from Raspberry PI devices.
Local storage of the data on mobile phones.
Upload/ Sync data to the central server over the internet.
Display of the data using different graphs on the mobile.
Display warnings/notifications received from the RHEWUM server.
SERVER APPLICATION DEVELOPMENT:
Android and iOS applications to collect the data from Raspberry PI devices.
Local storage of the data on mobile phone.
Upload/ Sync data to central server over internet.
Display of the data using different graphs on the mobile.
Display warnings/notifications received from the RHEWUM server.

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Acclivis is research-oriented high-end services company in systems engineering, embedded services, machine vision, deep learning, artificial intelligence & iot.