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About EchoHarm0ny
since
11-23-2023
a week ago
EchoHarm0ny
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a week ago
Thank you, we increased the MEM_SIZE in the example app main_owner (line 16), would be interesting to know the threshold. Would be also intersting to know if shared memory without datalayer is possible. Removable media via the sd card slot or the usb-c interface, correct? I read in a data sheet that all ctrlX CORE have a usb 2.0 interface. Which read/write speed can we expect for a ctrlX CORE x7? Is it possible to auto connect on removable media with two different snaps?
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a week ago
HI @Sgilk, we looked into the datalayer shared memory example. A few questions: In the sample the two apps are running in the same snap. It is necessary for us that the data provider is a own snap and the data consumer is a seperate app. Is there a configuration in the snapcraft.yaml necessary that both apps can access the shared memory? The MEM_SIZE of the shared memory is set to 100 Bytes, we increased it to fit our 60Mb requirements, the app is not starting after this and we receive an error: DL_OUT_OF_MEMORY How much memory is available for the shared memory? Is it possible to do a shared memory implementation without the datalayer?
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2 weeks ago
Hi @Sgilk, thank you for the explanation Your questions in blue What kind of data are you exchanging between the applications? Data acquired by a 3D camera. Our current solution outputs files. The best approach here would be using removable storage media and the corresponding plug as shown above. How fast is the interface of a removable media on a ctrlX CORE, i read in the data sheet USB 2.0, is that correct? Is it possible to auto connect on removable media with two different snaps? This would be my recommended solution, especially if the data is of a consistent format and simple types. There are not examples in other languages for shared memory. What language were you planning to use? A Python example for shared memory would be great. I also read about an option to use RAM-Disk on Ubuntu systems, is that a feasible approach on a ctrlX Hardware? I assume its challenging create a RAM-DISK and then mounting it to two snaps. The benefits of a RAM-Disk for us: - We could continue writing files - Very fast read and write operations - Can sustain countless reads and writes
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2 weeks ago
Hi, we are facing the challenge of designing the data exchange between two apps to be as performant as possible. The typical amount of data that needs to be exchanged per cycle is 30-60 Mb We are planning for 400-800 cycles per hour We would like to learn more about the methods you would recommend for exchanging data between apps. What are the advantages and disadvantages of the different approaches? We found the following recommendation for the exchange via the file system:"The app must not write diagnostics or similar data cyclically to the internal solid-state memory, as this will damage the flash cells." https://boschrexroth.github.io/ctrlx-automation-sdk/appdevguide.html#622-integrated-storageflash-lifetimeWill this recommendation change in the case that a IPC with ctrlX will be used? Its sounds very specific for ctrlX CORE hardware. If the exchange with via the files system is viable, is there an example that shows using plugs and slots to define a shared directory for two apps to use? Consider that these two apps may not be made by the same company, they may be not built at the same time. We also found an cpp example for the exchange via Datalayer shared memory, is this example also available in other programming languages?
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10-16-2024
04:23 PM
Hi, i´m using ctrlX WORKS Version: 3.2.0. I trying to connect a network camera (https://thinklucid.com/de/product/helios2-time-of-flight-imx556/) to a ctrlX COREvirtual. I followed this guide to connect a network device to the ctrlX COREvirtual: Guide I can ping the network camera after finishing this setup: "ctrlX COREvirtual in port forwarding mode communicating to a device on the network" But my app can´t find the camera in the network and also the camera utilities of the Manufacturer can´t find the camera when i´m using the ctrlX COREvirtual. I tested it also on a real hardware (ctrlX CORE x7) without any problems, my app can find the camera. It would be very helpful if i can use the camera also in the ctrlX COREvirtual. i´m guessing that the configuration of my port forwarding and firewall of my host is not yet completed. The camera Manufacturer provides some information about their default ports, but i´m not sure how to configure my windows host and the ctrlX COREvirtual to fullfilll these requirements: https://support.thinklucid.com/knowledgebase/default-network-ports-for-lucid-cameras/ Someone has an idea?
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