Siemens has extended its Industrial Edge offerings for the machine-oriented Sinumerik Edge to include more new applications. With the new software, the company is helping machine tool users to improve workpiece and process quality, increase machine availability, and further optimise machine processes.
With edge computing, large volumes of data can be processed locally on the machine tool. This also reduces storage and transmission costs for users, as large data volumes can be pre-processed and only the relevant data then transferred to a cloud or IT infrastructure.
Using Analyze MyWorkpiece/Vision to reduce downtimes based on artificial intelligence
At EMO 2019, Siemens presented the Analyze MyWorkpiece/Vision application for the first time. The software works with image recognition and is based on artificial intelligence. It detects whether the right workpiece is in the correct position in the machine room – and it works better than the human eye. If the workpiece is positioned correctly, processing can be started. The application can also detect wear on the tool. In addition, the application transmits the work process live via camera from the machine room and documents all image data. Analyze MyWorkpiece/Vision ensures preparation and process quality for users. By detecting tool wear, resources can be used efficiently.
The application configuration is tailored to the machine operator, meaning that users can benefit from artificial intelligence without a great deal of expert knowledge. Job setup using the application is also easy, so simple integration into the manufacturing process is possible. Analyze MyWorkpiece/Vision joins the portfolio of existing applications such as Analyze MyWorkpiece/Toolpath, Analyze MyWorkpiece/Capture and Analyze MyWorkpiece/Monitor, all of which contribute to better workpiece and process quality, helping to increase the productivity of machine tools and to reduce costs.
Increased machine productivity using artificial intelligence with Optimize MyMachining/Magazine
In the field of performance enhancement, Siemens is also presenting a new edge application. Part of the performance increase results from an optimal arrangement of tools in the magazine. The optimisation algorithm is based on artificial intelligence and runs on Sinumerik Edge. It calculates the tool arrangement in order to minimise manufacturing time. In the field of improved machine productivity, the new application adds to the Optimize MyMachining/Trochoidal application.
Protect MyMachine /3D Twin for Sinumerik One
The Sinumerik Collision Avoidance application presented at this year’s EMO is an edge-based application especially for Sinumerik One. Protect MyMachine /3D Twin includes comprehensive protection of the machine and tools in terms of the current setup situation, including dynamic observation of workpiece protection. By using Sinumerik Edge the performance and productivity of the NCU is not adversely affected by additional computing performance. With Create MyVirtual Machine and Run MyVirtual Machine – both software applications for Sinumerik One for creating digital twins – computational models created in this context can be used to include in Protect MyMachine/3D Twin, which joins the existing AnalyzeMyMachine/Condition application in the field of digitalisation solutions for machine tool condition monitoring.
Edge management as a control centre
With Manage MySinumerik Edge, Siemens presents its Industrial Edge Management solution to manage edge applications for machine tools. With Manage MySinumerik Edge, all connected devices can be administered, monitored and updated centrally. In addition, applications are always distributed in the latest version efficiently and securely to Sinumerik Edge devices. Applications can be installed on Sinumerik Edge devices without adverse effects, regardless of the machine tool operating state. Edge applications can be provided both by Siemens and by third-party suppliers. Users and machine builders can also develop their own applications, tailored to the individual requirements of their machines.
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