Abstract
This software is intended to facilitate the ingestion of data from some data historian into Deep Lynx. A data historian in this instance is any location where sensor and operational data from some live asset is gathered. The data can be either manual retrieved by this software or the data historian source can push to a listening endpoint provided by this software.
- Developers:
-
Browning, Jeren [1] ; Wilsdon, Katherine [1]
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Release Date:
- 2022-07-12
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
Python
- Licenses:
-
MIT License
- Sponsoring Org.:
-
USDOE Office of Energy Efficiency and Renewable Energy (EERE)Primary Award/Contract Number:AC07-05ID14517
- Code ID:
- 77445
- Research Org.:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Country of Origin:
- United States
- Keywords:
- Deep Lynx Adapter; Data Historian; Digital Twin
Citation Formats
Browning, Jeren M., and Wilsdon, Katherine N.
Deep Lynx Data Historian.
Computer Software.
https://github.com/idaholab/Deep-Lynx-Data-Historian.
USDOE Office of Energy Efficiency and Renewable Energy (EERE).
12 Jul. 2022.
Web.
doi:10.11578/dc.20220722.1.
Browning, Jeren M., & Wilsdon, Katherine N.
(2022, July 12).
Deep Lynx Data Historian.
[Computer software].
https://github.com/idaholab/Deep-Lynx-Data-Historian.
https://doi.org/10.11578/dc.20220722.1.
Browning, Jeren M., and Wilsdon, Katherine N.
"Deep Lynx Data Historian." Computer software.
July 12, 2022.
https://github.com/idaholab/Deep-Lynx-Data-Historian.
https://doi.org/10.11578/dc.20220722.1.
@misc{
doecode_77445,
title = {Deep Lynx Data Historian},
author = {Browning, Jeren M. and Wilsdon, Katherine N.},
abstractNote = {This software is intended to facilitate the ingestion of data from some data historian into Deep Lynx. A data historian in this instance is any location where sensor and operational data from some live asset is gathered. The data can be either manual retrieved by this software or the data historian source can push to a listening endpoint provided by this software.},
doi = {10.11578/dc.20220722.1},
url = {https://doi.org/10.11578/dc.20220722.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20220722.1}},
year = {2022},
month = {jul}
}