Sensor iMachine
Industry 4.0
iMachine
Technology and AI in Predictive Maintenance
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50% less downtime [1]
Equipment always operational, with precise control over stoppages.
10% to 40% savings [1] in maintenance costs
Use real-time data to predict and prevent breakdowns.
5% to 10% savings [1] on equipment
Thanks to the extended lifespan provided by the system.
Source: Mckinsey Global Institute. The Internet of Things: Mapping the Value Beyond the Hype. June 2015.
Applied IoT
What if you knew when your machines were to break down?
Mechanical failures are inevitable. Waiting for them to happen and stopping production for maintenance is absolutely avoidable.
Predict and prevent technical failures
Save time, money, and materials
i-Machine is an advanced AI-powered diagnostic system for online predictive maintenance. Get notified days in advance about the next technical failure in your equipment.
Specially developed sensors detect signals such as temperature, vibration, and energy consumption from the equipment. These signals are processed by Artificial Intelligence algorithms using Fuzzy Logic, which evaluates data based on the environmental variances where the equipment is installed.
Monitoring
After installation, our smart sensors monitor your machines 24/7.
Diagnosis
Algorithms detect equipment malfunctions and store the data in the cloud.
Visualization
The machine health is visible throughout the plant and can be displayed on multiple devices.
At the forefront of Artificial Intelligence
TechPlus is a pioneer in the use of Artificial Intelligence in our applications, enabling deep analysis of volumes of data that are humanly impossible to process.
01
How it works
Data collection with
smart sensors
Based on IoT architecture, smart vibration and temperature sensors are installed on rotating machines to monitor and capture data 24/7.
Thousands of data points are collected every hour and sent via broadband to a cloud server.
SENSOR
Diagnosis
AI, tech, and cloud
The data is contextualized and analyzed by a proprietary algorithm based on Artificial Intelligence. The system diagnoses the status of services, detects any malfunction, and estimates when a mechanical failure will occur, generating a prediction of how many days remain until the next issue.
The data is stored in the cloud for easy access. Machine health is visible across the plant and can be displayed on various devices.
APPLIED AI
02
How it works
03
How it works
Data intelligence
in your hands
With real-time analysis, failure patterns are identified and the status of each asset is determined. This enables the creation of a maintenance schedule, in time to prevent failures.
Advanced predictive maintenance algorithms can determine the reliability of all assets, so maintenance is performed at the ideal times.
The technology eliminates the need to stop a production line for scheduled maintenance (which might not even be necessary), reducing all costs previously associated with lost productivity.
INFORMATION
