TURNS “PLUG-AND-PLAY” DATA FROM YOUR MACHINES INTO INFORMATION FOR IMMEDIATE USE
READY-to-USE micro applications
for machinery and industrial plants
- Efficiency and quality indicators
- Operating conditions and trends
- Real-time and time-based analysis
EDGE INTELLIGENCE
TURNS “PLUG-AND-PLAY” DATA FROM YOUR MACHINES INTO INFORMATION FOR IMMEDIATE USE
READY-to-USE micro applications
for machinery and industrial plants
- Efficiency and quality indicators
- Operating conditions and trends
- Real-time and time-based analysis
Machine (and context) data must be processed to monitor machine and process operations, performance, trends, and conditions.
Many of these processes require large volumes of high-frequency data from plants, where the information subsequently processed is a synthesis and aggregation of these data.
Bringing machine data “on Cloud” for processing can therefore become costly, and Edge Computing solutions offer many advantages for better information management.
Alleantia has built a framework natively integrated with its IoT Edge Gateways to realize portable ‘Edge Intelligence’ capabilities specifically designed for machine data.
Real-time communication with Alleantia Edge Gateways to capture machine and context data. Equipped with its own database for event-based and time-based processing.
The processed information can be transferred back to the Edge Gateway to be aggregated with machine data to take advantage of the many communication interfaces (IoT Apps) available.
The required data processing, are replicable / standardizable based on semantically uniform machine data, such as those obtainable with Alleantia’s IoT Edge Gateway.
The Edge Intelligence framework allows for many types of applications, some already available “off the shelf” and others that can be realized.
CONDITIONAL
MONITORING
DASHBOARD &
USER INTERFACE
REAL TIME ALERT SYSTEMS
TREND
ANALYSIS
ON DEMAND
REPORT
MACHINE
LEARNING
Creates targeted solutions that are quick to deploy within an architecture that is scalable in both scope of functionality and number of systems and data stations.
OT data are the lifeblood of industrial production
Alleantia’s Edge Intelligence technology allows you to have even smarter data
- Performs ready-to-use data processing dedicated to machines or plants
- Make decisions based on real-time data without the need to send it to a central platform
Perform processing on historical IoT data collected by the machine for possible near real-time indicator calculations (e.g., availability)
Processes and analyzes normalized data directly in the field before sending it to the cloud
Perform statistical analysis on real-time data by adding additional context to your data
Independently integrates machine data by correlating it with the machining operations performed and machine operating parameters
DETECTION OF FAULTS AND ABNORMAL SITUATIONS
Real-time, time-series monitoring of industrial machinery enables rapid identification of malfunctions, failures, defects and other issues.
The information obtained can be used both for conditional machine maintenance (alarms, errors, hours of operation) and for detecting and monitoring production performance (OEE) and preparing usable datasets, for machine learning.
USE OF DATA AND ANALYTICS TO GAIN OPERATIONAL INSIGHTS
Alleantia supports a variety of customizable interactive dashboards with different metrics, charts and KPIs, as well as being able to automatically provide the latest findings to end users by sending them alerts and notifications.
Edge Intelligence is available in the form of On Edge micro-applications for specific machinery and processing capabilities, and as free, unrestricted-use SDKs.
MONITORING AN INDUSTRIAL ROBOT
Data aggregation by part program and historicization in on edge DB
Calculation of performance indicators and machine utilization (CPU usage, RAM usage, joint temperatures, shocks, etc.).
Customizable dashboard to view real time and historical machine data
Upload/download recipes/part programs via WEB interface
Recovery of machine log files
Email notification of specific errors, machine malfunctions, or variables with custom expressions
MONITORING AND RECONSTRUCTION OF CYCLE TIME