Clusters of sensors, the moniteur collects relevant data (vibration spectrum, temperature, acoustic emissions, etc.). This data is then analyzed in order to detect and anticipate breakdowns.Brochure
Replicating an instrumentation model or, more generally, a use case at the scale of an entire factory will help you capitalize on our experience and thus reduce or even eliminate long machine learning process. The goal: Deploy the most suitable predictive maintenance solution.
In a few seconds, the monitors are installed on the machine to be supervised.
Once acquired, the data is analyzed by automatically integrating generated thresholds.
Our goal: to enable you to act early enough to avoid heavy and costly breakdowns,but never too early to avoid unnecessary expenses and shutdowns.
On older machines, Monixo's solution provides us with state-of-the-art monitoring tools to measure the impact of maintenance operations or prevent unplanned breakdowns on critical machines.
The agility, speed and availability of Monixo, which has been able to respond to our problems, have been determining factors in leading the group to deploy the solution on a larger scale in Gabon, Norway, Senegal, France and New Caledonia. After a little less than a year of deployment and given the number of breakdowns that this enabled us to avoid, we have a return on investment.
Our client wanted to innovate its maintenance system through condition based and predictive maintenance. It has been a rewarding experience. The whole project went well. If I had to recommend MONIXO I would say they are a very professional and trustworthy team.
This experience with monixo, let me know that I can follow my equipments in real time to tell me the state of the machine, and warn me of the dangers to which the equipment is exposed.
A very fast installation by wireless sensors, data acquisition by radio link, 4G, transmitted to the Cloud and returned to a platform that can be connected remotely by the user; the results are transmitted in the form of an alert, a prognosis and a predictive diagnosis.
We support manufacturers in various fields and of different sizes in their conditional and predictive maintenance projects. Here you will find practical cases to understand how our customers use our solutions.
In a few clicks, replicate functional and proven models (results + ROI)
Complete documentation makes it possible in particular to interface with existing sensors or to integrate analysis results into third-party applications (Azure, SAP, Historian, etc.) through our API
You can count on us throughout this process to design the connected and predictive maintenance solution that best suits your needs
Our kits are industrial IoTs, easy to deploy and connected to our cloud or to your own private cloud (Azure, AWS, etc.). The data generated is analyzed to anticipate failures of the machines on which you will install them.Online Demo
To try out real-time data feedback and conditional maintenance on a critical machine.
To try predictive maintenance on a critical machine or group (on the same site).
Find on our Blog, our innovations and updates but also the key trends and our projections for the maintenance of Industry 4.0.Monixo Blog
Would you like more information on our solutions or would you like to have an opinion on your predictive maintenance projects? Do you want to join us or simply discuss other topics? Do not hesitate to contact us, we are at your disposal.schedule an appointment
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