Predictive maintenance is the supreme discipline in the maintenance of machines and systems - but not the end. In most cases, impending faults in machines and systems become noticeable in the products, for example as tolerances that drift away. With sophisticated algorithms and the know-how of the machine manufacturers, the machine should notice these process deviations and indicate the reason for them. The cause can then often be quickly remedied at the next shift change.
Through machine learning and predictive maintenance, the pattern of e.g. a cooling unit is analyzed so that any irregularities can be detected very early and eventually prevent that your will cooling unit will break down.
Predictive maintenance is worthwhile first of all where expensive machines with expensive content run around the clock and where unforeseen defects are difficult to repair. No wonder, therefore, that operators of power plants or wind turbines began to focus on IIoT discipline at a very early stage.
SynapIoT, for example, helps OEMs to collects IIoT sensor data from each of its globally operating cooling units, with each one providing information every minute. In this mountain of data, adaptive algorithms search for typical patterns that indicate impending failures. Every cooling unit owner thus has access to the gained knowledge through a better working predictive maintenance algorithm.
Today, Predictive Maintenance is no longer science fiction:
Our algorithm can predict the following possible failures in the cooling system:
Dust in or clogged condenser making the cooling agent unable to release enough heat
Sudden compressor error
Deteriorating Cooling agent
Mechanical temperature probe failures
Pressure failure in the cooling agent
In the survey by Staufen-Neonex, the companies express high hopes to predictive maintenance. 73 percent of those surveyed expect predictive maintenance to become much more important in the automotive industry. The industry is predestined because, due to the high degree of automation and complex supply relationships, every minute of downtime a disaster. The industry is also a role model for eliminating carelessness and waste.
Suppliers and plant manufacturers are currently increasingly confronted with this issue. "Do Predictive Maintenance, but it must not more," is what e.g. car manufacturers are demanding. SynapIoT have developed exactly that!
Our philosophy is that our products will quickly have to pay off for the customer – fast return of investment is key – IoT have to be affordable to reach a scale of economic.
The Narrow Band IoT technology is especially designed for optimized energy consumption, so sensors can theoretical have up to 10 years battery life - depending on the number of send packages. SynapIoT try to use and tab into existing power sources if possible to save the number of used batteries in our products.
Independence from external power sources possible
Existing Transmitter masts allow up to 100 times as many IoT-units compared to GSM-units
SynLab IoT is SynapIoT's R&D centre. Here we are working on synergies of combining the disciplines of engineering, software, research and development - to create reel cutting edge digitalization for our costumers.
Our clients simply tell us what to measure, what data they want to see and we build the PCB, write the algorithm and deliver the desired data as a direct usable output.
SynCore™ is Synap IoT’s Platform - here you can manage your sensors and add external sensors, in that way you have all relevant sonsor data in one dashboard. We also integrate 3rd party sensors in SynCore.
All sensor data in real time
Export reports (PDF, CSV, Excel)
Adjust tolerance levels
Manage notification details (telephone and email)
Status predictive maintenance
Calibration value adjustable
Update hardware firmware wireless
We offer Automatic Temperature logging and monitoring for owners of Commercial Coolers, Freezers and Airconditions.
Do you want to save time, money and eliminate manual temperature logging from Coolers and Freezers?
We automate the logging, create the reports for the authorities and make them available to you every day. So, for your next audit visit, all your compliance documentation is available and compliant.
Through machine learning and predictive maintenance, the pattern of your cooling unit is constantly analyzed so that any irregularities are detected very early.
Warning and alerts are a part of the SynCore monitoring subscription, which means that if the refrigerator changes it normal pattern, if the temperature does not regulate right over a period of time and if the temperature keeps rising and getting close to a set critical level, you will get an instant notification in form of an email and a text message.
In the setup phase we assist you in setting the right parameters. SynCore, our platform, will through machine learning learn the pattern of your cooling unit so that any irregularities can be detected very early.