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@pedro4031/node-opcda

v1.1.1

Published

A Node.js client library for connecting to and reading data from OPC DA servers.

Vulnerabilities

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Links

Git

Maintainers

pedro4031pedro4031

Keywords

opcopc daplciotscadaindustrialautomationclientnode

Readme

node-opcda

License NPM Version

Description

node-opcda is a Node.js client library designed to connect to OPC DA (Data Access) servers and easily read, write, and monitor industrial data. It's perfect for automation, IoT, and SCADA applications that need to interact with OPC DA systems.

Features

  • Connect to OPC DA servers.
  • Read tag values.
  • Write values to tags.
  • Subscribe to data changes.
  • Handle errors gracefully.

Installation

You can install the library using npm:

npm install @pedro4031/node-opcda

Future Plans

We are continuously working on improving node-opcda. Here are some features and improvements we plan to add in the near future:

  • Suport for simple read operations: We are actively working to implement basic synchronous and asynchronous data reading.
  • Suport for simple write operations: We will add functionality for writing values back to the OPC server.
    • Suport for async operations: We will add support for async operations.
  • Performance Optimizations: We are exploring ways to enhance data reading and writing performance.
  • Extended Data Types: We plan to support a wider range of OPC data types.
  • Comprehensive Documentation: We will continue to expand our documentation with more detailed examples and use cases.

Your feedback and contributions are highly valuable in helping us prioritize these features.

Contributing

We welcome and appreciate all contributions! If you have suggestions, find a bug, or want to contribute code, please follow these steps:

  1. Report a Bug: Open an issue on our GitHub Issues page.
  2. Suggest a Feature: Open an issue to discuss new ideas before you start working on them.
  3. Submit Code: Fork the repository, create a new branch for your changes, and submit a pull request.

License

This project is licensed under the ISC License. See the LICENSE file for the full text.