21-09-21 Control and monitoring machines
Much is being said about, remote control devices, sensors, 4.0 Industry, predictive manufacturing, AI decision roles etc, but at first there must be always assessment in order to understand how much could we rely upon the resulting actions and data.
Of course that efficiency is always welcome at any company's level; if we can cut directly to an advance production stage, without compromising human health and product quality then even better.
Nowadays lots of hardware is equipped with sensors that allows bidirectional hardware conversations, gathering, organizing (relating) and storing data (IoT) is therefore, a mandatory management asset.
For instance with its most recent 1.3.0 software upgrade, Heidenhain’s StateMonitor system now enables CNC manufacturers a modernized and more effective way to connect their control and PC systems. Including additional StateMonitor options, users involved in this Industry 4.0-connected machining initiative can view data and evaluate control processes remotely and in real time in a more simplified manner. Further, the system can be used to connect and monitor both Heidenhain and non-Heidenhain controls.
As a monitoring system, StateMonitor places an overview of the machine status at the user’s fingertips at all times, making it possible to react quickly in case of faults. The software helps to avoid unnecessary downtime and bottlenecks while at the same time improving machine utilization and availability. The machine data is available on any device that has a current web browser installed, no matter where its user is located—even on a tablet or smartphone.
In addition to an easy installation and start-up process, the software system adheres to strict user ownership of data; users are said to be able to dictate the amount and types of data collected for viewing from their various production facilities, as well as the specific applications evaluating it.
Some 1.3.0 StateMonitor enhancements and features include a MaintenanceManager option (option 6), for appropriate organization of maintenance and recording of their execution; signals (option 7), to enable the collection of machine-specific signals and their monitoring over any period of time; and database enhancement, which reportedly has a transition to a more powerful PostgreSQL database, and unique IDs to enable further reduction of access times to the collected data.
At the end is really important to figure out, what are the main data variables you and your company need to control or understand, so one no ones getting data overload and can't decide upon unwanted intell.
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Keywords: #AImanufacturing #predictivemanufacturing #IoT #control #remote #efficiency #staysafe #toolmanagers #shapes #molds #moulds #moldsfromportugal #moulds40 #industry40