Abstract
One of the main requirements of the safe and sustained workflow of production facilities and machines, is the proper choice and implementation of suitable technical diagnostic method. In the broader sense technical diagnostics includes approaches and methods of technical objects condition determination. This process is based on specific devices parameters inspecting, which values are directly or indirectly caused by certain changes of monitored production facilities condition. In order to reliably detect faults in right time, selected parameters indicating status of the production device should be monitored continuously. At a time when an Internet of Things platforms implemented to the industry business systems is the great temptation from the view of investors and company prestige are these principles common in the process of machine parameters online monitoring and its cross connections within the business realms. This paper describes specific software ThingWorx, which is a great example of sophisticated and universal IoT platform and also describes its application for production facilities diagnostic data collection and visualization.
Highlights
High manufacturing quality, reliability, product accuracy and last but not least efficient use of financial resources, are the main parameters which would define a successful engineering company
In automotive industry where even a few seconds lasting downtime can cause significant financial losses. For these and many other reasons, the technical diagnostics and proper and effective planning of maintenance of production facilities are of great importance. [1]
In the numerous number of fault cases, choice and application of suitable diagnostic method can be the right solution. Choice of such a system is dependent on a type of faults and parameters that we want to detect and on the type of the machine or device on which we want to apply such a diagnostic method, whether it will be implemented to some sort of assembly or production line, CNC machines, industrial robots or other comparable devices or technical objects
Summary
Reliability, product accuracy and last but not least efficient use of financial resources, are the main parameters which would define a successful engineering company. In automotive industry where even a few seconds lasting downtime can cause significant financial losses For these and many other reasons, the technical diagnostics and proper and effective planning of maintenance of production facilities are of great importance. Condition monitoring is based on non-destructive and non-invasive methods of measuring of required system characteristics such as frequencies or modal domains measuring and verification for the purpose of detecting whatever deviations These shall indicate machine failure or degradation of any device parts in advance. The most advantageous candidate is the use of a large PTC tool called ThingWorx It is presented as an Internet of Things platform that allows to create web applications for the collecting, processing and visualization of data obtained from the sensory and control subsystems of various production facilities. Main purpose is to use the above-mentioned software to capture and monitor data defining the machine state during production and take advantages of the tools and services that the software provides to the user
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