Retain your flexibility and data sovereignty. IconPro Apollo comes as software-as-a-service or can be hosted by customers themselves on-premise or in the cloud!
Perfected for machine operators, measurement technicians, production employees and managers. Simple, structured and to the point instead of a general IoT solution!
Standard connectivity for common measuring machines, machine tools, robots and controllers. Otherwise we guarantee the MT-Connect, MQTT or OPC-UA connection!
Get to know the most relevant application scenarios and added values for Condition Monitoring & Predictive Maintenance for measurement machines.
Get to know the most relevant application scenarios and added values for Condition Monitoring & Predictive Maintenance for machine tools.
Get a first impression of the simplicity of Predictive Condition Monitoring & Maintenance with Apollo – up and running in days, not months.
IconPro APOLLO saves dozens of thousands of euros per year by predicting and dynamizing maintenance and service efforts or reducing downtime of assets to a minimum.>
Annual Maintenance, Downtime, Administration Costs
1 k€
Realize Annual Savings of
0 k€
What is machine data acquisition?
Machine data acquisition systematically collects, analyses and stores raw data that machines generate during operation. Sensors and software monitor operating parameters and conditions such as operating mode, temperature, speed or alarms. The raw data is passed on to condition monitoring via interfaces for further data processing and information evaluation and display.
What common interfaces and protocols are there for machine data acquisition?
Common interfaces and protocols for machine connection are OPC-UA, Modbus, Ethernet/IP, Profibus, MQTT and HTTP/HTTPS. They enable communication between sensors and the controller on the one hand and the data transmission or processing unit on the other.
What is Condition Monitoring?
Condition monitoring is a technique for continuously observing and evaluating the condition of machines, equipment or systems. It uses sensors and data analysis to detect potential problems, wear and tear at an early stage. The main goal is to minimize unplanned downtime, extend the life of equipment and increase efficiency.
What are the advantages of condition monitoring?
The benefits of condition monitoring are manifold. These include reducing unplanned downtime, lowering maintenance costs, increasing safety, improving product quality, optimizing production processes and extending the service life of equipment. It also enables precise maintenance planning and contributes to the long-term profitability of companies.
What are application examples for condition monitoring in production and quality assurance?
Examples include monitoring continuous production systems or mechanical processing machines with regard to machine vibrations, temperature, pressure, lubricant quality and electrical parameters as well as error and operating conditions. In quality assurance, measuring devices and measuring machines can be monitored to avoid downtime, minimize calibration or maintenance and ensure measurement capability.
What are the components of a condition monitoring system?
A condition monitoring system consists of sensors for data acquisition, one or more software or hardware modules for machine data acquisition from the control system, a data transmission unit (gateway), a data processing platform (database and application server and software), algorithms for data analysis (software application), a user interface for displaying all systems, machines and conditions and, ideally, a maintenance management module.
Testimonial Groupe PSA
IconPro became a strategic partner for the application of machine learning on our energy management use-cases.
With the help of IconPro TSAF we process energy carrier data from our factories to identify energy waste and reduce costs.