Thingstel
Solutions for: Industry 4.0, IIoT
Products represented: Ewon
Thingstel is an end to end IoT solutions provider integrating latest innovation in Devices, Cloud, Application and Analytics. We provide this through a platform which supports modules such as real time visualisation, alters/notification, reports and predictive maintenance module. Additionally we also provide a base Machine Centre which include documents and ticketing module for manufacturer to connect with the machine builder directly through our platform.
KEY BENEFITS
• Remote monitoring of equipment & processes
• Archiving of data & Report generation
• Predictive Maintenance of equipment
• Reduced rejection of parts
• Central Repository of all equipment information

The Platform Includes many core features:
CUSTOMIZABLE DASHBOARD
Lets the customer connect with the data in a user-friendly way. The dashboard can be customized depending on the different user groups (Eg- Staff, operators)
It includes:
Machine Status
• Quick overview of current status of machine
• Status of all machines in one page
• Basic metrics on the machine tile
Process Parameters

MACHINE CENTRE
Quick overview of entire machine fleet including basic info such as:
• Purchase date
• Serial number
• One customizable entry
Every machine on the portal could have the following documents easily accessible in digital format
• Operating Manual
• Spare Parts list
• Drawings – Electrical, Hydraulic & Pneumatic
• Factory Calibration Certificates / Acceptance Tests
Request service online 24x7
Communication documented
Central record of all service requests
Listing of open service & spare parts requests
Central overview of all statuses
REPORTS
A number of reports can be generated for each machine based on different criteria. These include:
• Time series report
• Job wise report
• Notification report
• Downtime report

ALERTS & NOTIFICATIONS
Allows you to set up alarms and send notifications to alert the user by e-mail or text message. This will allow the user to address the issues immediately and avoid errors before they occur.
• User configurable modal for setting threshold limits for each parameter
• Notification module to visualise all alerts and notifications on the home page
• Optional: Email and / or SMS alerts to specified personnel

PREDICTIVE MAINTENANCE
• Prediction of key machine parameters for future values
• Generate insights into future events through machine learning models
• Indicate specific actions to be taken to avoid event occurrence (replacement of parts, run maintenance activities etc)