Hello all:

 

I am fairly new to the Java world and would like some advice on how to handle rs-232 communications with a Java based GUI I am working on.  Several years ago I created a similar GUI with Visual Basic, but my coding skills are a bit rusty and I never got the communication thing completely figured out.  I could send command strings easy enough, but I had trouble getting responses and processing them quickly.

 

The current GUI is to control an RGB lighting system.  It has some sliders, some radio buttons, and a few check boxes.  When the sliders move a command string needs to be sent out.  It will have to happen quickly so that the change in light level is smooth.  When the radio buttons and check boxes are clicked, single commands will have to be sent out.

 

I would also like to be able to handle any responses sent back from the controller.  When the sliders are moved, there will be a lot of comm traffic coming back to the GUI.  I sure this will require a buffer of some kind, but I am not sure how to set it up.

 

Once I get the rs-232 option up and running, I need to look at communicating with the light controller via an Ethernet connection.

 

Any advise or assistance would be appreciated.

 

 

Paul Stearns

Views: 517

Reply to This

Replies to This Discussion

Thanks Nem.  I will check those out.

 

Paul

I took a look at some of the documentation and it seems that RS-232 is not supported for Windows apps anymore.  If this is indeed the case, then I guess I need to look at sending communications via Ethernet and using a converter to get it to the RS-232 device.

 

Any guidance on how to proceed would be appreciated.

Reply to Discussion

RSS

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Presentation: Slack's AI-Powered, Hybrid Approach for Large-Scale Migration from Enzyme to React Testing Library

Sergii Gorbachov shares how his team at Slack saved thousands of hours by using an innovative hybrid approach combining AST and LLM to tackle a complex migration from Enzyme to React Testing Library. He explains the challenges of this widespread problem, detailing how they built a pipeline that modeled human problem-solving to successfully automate the migration.

By Sergii Gorbachov

LinkedIn Re-Architects Edge-Building System to Support Diverse Inference Workflows

LinkedIn has detailed its re-architected edge-building system, an evolution designed to support diverse inference workflows for delivering fresher and more personalized recommendations to members worldwide. The new architecture addresses growing demands for real-time scalability, cost efficiency, and flexibility across its global platform.

By Leela Kumili

DeepSeek Releases v3.1 Model with Hybrid Reasoning Architecture

DeepSeek has released version V3.1 of its large language model, introducing a hybrid architecture that combines thinking and non-thinking modes in a single system.

By Daniel Dominguez

Presentation: Platform Engineering Patterns for Scalable Software Delivery

Building a successful Internal Developer Platform (IDP) requires balancing standardization with developer autonomy. The panelists discuss the core components of modern platforms, the role of platform teams, and strategies for driving adoption across diverse teams. They also share key patterns, anti-patterns, and lessons learned.

By Cat Morris, Martin Reynolds, Mike Fielder, Boyan Dimitrov, Renato Losio

Article: How Causal Reasoning Addresses the Limitations of LLMs in Observability

Large language models excel at converting observability telemetry into clear summaries but struggle with accurate root cause analysis in distributed systems. LLMs often hallucinate explanations and confuse symptoms with causes. This article suggests how causal reasoning models with Bayesian inference offer more reliable incident diagnosis.

By Dhairya Dalal

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service