BOOST PRODUCT QUALITY
Produce high quality efficiently. Minimize scrap and optimize the usage of your machinery. ENLYZE monitors and predicts machine status and product quality based on the combination of machine data and nuanced details in the electrical signal.
INDUSTRIES
Regardless of the industry, quality has a huge impact on your profitability.
ENLYZE helps you realize your potential.
Plastics
Cutting
Our technology enables you to track and optimize the quality of the current milling process in real-time. We predict milling head erosion, run-out and other wearing of your machine.
Welding
Quality of spot welds depend on the concentration and amount of current applied. By monitoring the current with a high sampling rate, we detect and predict deterioration of the welding tips and hence the quality of the welding spots.
HOW OUR SOLUTION WORKS
INSTALLATION
We want to make our solution as easy to install as possible.
All you need is:
- One outlet to power up the SPARK
- One network ethernet port
- One PLC ethernet port
Hardware installation only takes a few minutes per asset. If desired, further proprietary sensors can be implemented.
TECHNOLOGY
SECURITY
Data privacy and protection are integrated in all our building blocks and are based on the latest standards. For more information, please contact us.
WEB APPLICATION
SETUP OPTIMIZER Our technology suggests the optimal product-specific machine parameters and helps your machinist increase your asset performance, by reducing setup and ramp-up times and scrap production.
REALTIME QUALITY TRACKING Track your production quality in real-time, at every manufacturing step. Our cutting edge, non-invasive current sensors collect over one thousand samples per second. This high-frequency feedback, coupled with PLC data allows us to alert the shop floor with ample reaction time if quality is decreasing, preventing scrap production.
CONTINUOUS QUALITY IMPROVEMENT Our technology provides the insights for root-cause analysis of quality deterioration, enabling you to improve your processes with respect to performance and quality.
ANALYTICS
Harness the power of machine learning for production system
ANOMALY DETECTION
Our anomaly algorithms are constantly analyzing the production data and flag bad quality. We immediately give tangible insights to your shop floor, so that your workers can readjust the machinery for optimized product quality.
PREDICTION
Based on actual production data, our algorithms predict product quality in advance. This allows you to proactively counter act against bad quality.
CLASSIFICATION
Our Classifiers track the overall performance of your production system so you get an overview of ramp-up times, throughput, downtimes, etc. Here you will see how our technology helps you to improve your operation continuously.
AGGREGATION & TRANSFER
ON-DEVICE Built on a firm foundation of signal processing, the SPARK extracts the essence of your machine’s data on site, condensing it to a compact form.
DATA PIPELINE After the data has been condensed, it is packaged with metadata and aggregated for our proprietary machine learning algorithms.
DATA SOURCES
High quality input-data for the machine learning models
ELECTRICAL SIGNAL
The FLUX samples electrical signals with a high frequency. Like the machine parameters, this is an input into our machine learning models. Learn more about the electrical signal.
MACHINE PARAMETERS
Machine parameters are directly read out of the PLCs. Simply connect our SPARK via Ethernet, then we are able to extract data independent of the protocol. (OPC, Modbus, raw data).
QUALITY MANAGMENT SYSTEM
We collect data from your quality management system. This allows us to map the electrical signals and the machine parameters to the actual quality of the final product.
SENSORS
Extra sensors can be implemented on demand.
ELECTRICAL SIGNAL
Tapping into your machines personality
Each machine performs unique conversions of energy during run time. These conversions – whether it be thermal, mechanical or pressure related – change nuances in the electrical signal. Therefore, electrical signals of industrial machinery carry much of the information needed for us to derive impactful analytics.
