APOLLO
Condition Monitoring & Machine Data Collection
Ready for immediate use and technically leading for measuring systems, machine tools or robots. OEE, Maintenance & Improve usage efficiency!
On-Premise or In-Cloud!Keep 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!
Tailored to production!Perfect for machine operators, metrologists, production workers and managers. Simple, structured and to the point instead of a general IoT solution!
Guaranteed connection!Standard connectivity for popular measuring machines, machine tools, robots and controllers. Otherwise we guarantee the MT-Connect, MQTT or OPC-UA connection!
Überwachen & Verbessern
Get to know the most relevant application scenarios and added values for Condition Monitoring & Predictive Maintenance for measurement machines.
Monitoring & improving the effectiveness of expensive measuring systems or machine tools can be a challenge due to the large number of machines or different machine manufacturers. Apollo solves these problems and offers clear dashboards.
Does it make sense to adhere to regular static service intervals, regardless of the utilization & requirements of the machines or the operating conditions? Difficult to manage service histories & requests for many machines? With Apollo this is not the case!
Convincing colleagues from the IT/OT department can sometimes be difficult. That is why they are also thought of with Apollo. Apollo runs as software-as-as-service with minimal administration effort or can be self-hosted on-premise or used in any cloud!
The parallel operation and monitoring of the operating conditions and the work progress of several machines is a challenge for the operators. With Apollo you increase your efficiency and reliability by visualizing all relevant information in intuitive dashboards.
Monitoring & improving the effectiveness of expensive measuring systems or machine tools can be a challenge due to the large number of machines or different machine manufacturers. Apollo solves these problems and offers clear dashboards.
Does it make sense to adhere to regular static service intervals, regardless of the utilization & requirements of the machines or the operating conditions? Difficult to manage service histories & requests for many machines? With Apollo this is not the case!
Convincing colleagues from the IT/OT department can sometimes be difficult. That is why they are also thought of with Apollo. Apollo runs as software-as-as-service with minimal administration effort or can be self-hosted on-premise or used in any cloud!
The parallel operation and monitoring of the operating conditions and the work progress of several machines is a challenge for the operators. With Apollo you increase your efficiency and reliability by visualizing all relevant information in intuitive dashboards.
Get to know the most relevant application scenarios and added values for Condition Monitoring & Predictive Maintenance for machine tools.
Project Subtitle
Data-based evaluation of the wire electrical discharge machining process
Companies & Partners
WBA Aachener Werkzeugbau Akademie GmbH, Mak…
Project Subtitle
System for adaptive phototonic surface testing with adaptive image evaluation in combination with a cleaning system.
Companies and Partners
P…
Project Subtitle
Industrial Reinforcement Learning for the Quality Control of Metal Forming Processes
Companies & Partners
Mubea, Tailor Rolled Blanks Gmb…
Get a first impression of the simplicity of Predictive Condition Monitoring & Maintenance with Apollo – up and running in days, not months.
In-depth Benefit from our comprehensive production expertise and our many years of experience with industrial AI. Maximize your return on investment.
Ready-to-use & Our solutions are automated and intuitive. Minimize the effort required to prepare, develop and train your employees for industrial AI.
Self-Hosting or Keep your flexibility and data sovereignty. IconPro software solutions are either offered as software as a service or can be self-hosted anywhere.
Full service guarantee We guarantee worldwide support & service for the reliable operation of your industrial AI solution. Always on site, made possible by strong international partners.
Having started with a larger software engineering project, IconPro became the main external partner for our AI strategy.
With IconPro, we enable the users of our statistical process control software to react to changes before they get critical.
IconPro‘s combined deep expertise in production technology and industrial software development is very convincing.
We utilize the IconPro Apollo software for predictive maintenance of our robot systems to minimize downtimes.
IconPro ist ein Pionier auf dem Gebiet der Predictive Quality, Maintenance und Prozessoptimierung.
Wir empfehlen die IconPro ARES-Software, um die Anlaufzeit zu verkürzen und die Produktivität eines Walzprozesses weiter zu optimieren.
OGP provides Multisensor Inspection Systems.
We utilize IconPro Software to bring to our customers
Vom ersten Treffen an machte IconPro einen außergewöhnlich innovativen und professionellen Eindruck.
Wir waren beeindruckt, wie schnell die IconPro ARES Software wesentliche Prozesseinblicke generiert.
Working with IconPro in a pilot project proved to be simple, efficient and focused right from the beginning.
IconPro Apollo just met our demand for on-premise condition monitoring and analysis of our measurement machines.
IconPro demonstrated the ease-of-use of the ARES software for deriving predictions and optimizations from production data.
For our new e-mobility production line, we integrate predictive quality with IconPro from the beginning.
IconPro already did a great job when it first came to investigate the relations and potential in our production.
With IconPro software, machine learning can be utilized directly by our process engineers to predict & optimize quality.
The platform-agnostic and highly intuitive software by IconPro just serves the current needs in our industry.
It brings machine learning to production engineers and use-cases on-premises or in any cloud providing results quickly.
What is Machine Data Collection?
Machine data collection systematically acquires, analyzes and stores raw data that machines generate during operation. Sensors and software monitor operating parameters and states such as operating mode, temperature, speed or alarms. Via interfaces, the raw data is passed on to condition monitoring for further data processing and information evaluation and display.
What are Common Interfaces and Protocols for Machine Data Collection?.
Common interfaces and protocols for machine connectivity are OPC-UA, Modbus, Ethernet/IP, Profibus, MQTT and HTTP/HTTPS. They enable communication between both sensors and the controller on one side 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, plants or systems. Sensors and data analysis are used to detect potential problems, wear or tear at an early stage. The main goal is to minimize unplanned downtime, extend equipment life and increase efficiency.
What are the Benefits of Condition Monitoring?
The benefits of condition monitoring are many. They include reducing unplanned downtime, lowering maintenance costs, increased safety, improved product quality, optimized production processes, and longer equipment life. It also enables precise maintenance planning and contributes to the long-term profitability of companies.
What are Examples of Applications for Condition Monitoring in Production and Quality Assurance?
Examples include monitoring continuous manufacturing equipment or mechanical processing machines for machine vibration, temperature, pressure, lubricant quality, and electrical parameters, as well as fault and operating conditions. In quality assurance, measuring devices and measuring machines can be monitored to avoid downtimes, minimize calibrations 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.