Return to search results
Synthetic Temperature Data for P-Flash - A Machine Learning-Based Model for Flashover Prediction Using Recovered Temperature Data
This data set provides heat detector temperatures in a single story three-compartment structure. 1000 sets of detector temperatures are generated using CData [1]. The data set are obtained based on simulation runs with various t-squared fires. The peak heat release rate and time to peak range from approximately 50 kW to 2200 kW and from 50 s to 1400 s, respectively. A detailed description of this work can be found in Ref. [2]. [1] Tam, W.C., Fu, E.Y., Peacock, R., Reneke, P., Wang, J., Li, J. and Cleary, T., 2020. Generating synthetic sensor data to facilitate machine learning paradigm for prediction of building fire hazard. Fire Technology, pp.1-22. [2] Wang, J., Tam, W.C., Jia, Y., Peacock, R., Reneke, P., Fu, E.Y. and Cleary, T., 2021. P-Flash - A machine learning-based model for flashover prediction using recovered temperature data. Fire Safety Journal, 122, p.103341.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[
"006:55"
]
|
| contactPoint |
{
"fn": "Andy Tam",
"hasEmail": "mailto:waicheong.tam@nist.gov"
}
|
| description | This data set provides heat detector temperatures in a single story three-compartment structure. 1000 sets of detector temperatures are generated using CData [1]. The data set are obtained based on simulation runs with various t-squared fires. The peak heat release rate and time to peak range from approximately 50 kW to 2200 kW and from 50 s to 1400 s, respectively. A detailed description of this work can be found in Ref. [2]. [1] Tam, W.C., Fu, E.Y., Peacock, R., Reneke, P., Wang, J., Li, J. and Cleary, T., 2020. Generating synthetic sensor data to facilitate machine learning paradigm for prediction of building fire hazard. Fire Technology, pp.1-22. [2] Wang, J., Tam, W.C., Jia, Y., Peacock, R., Reneke, P., Fu, E.Y. and Cleary, T., 2021. P-Flash - A machine learning-based model for flashover prediction using recovered temperature data. Fire Safety Journal, 122, p.103341. |
| distribution |
[
{
"title": "DOI Access for Synthetic temperature data for development of a machine learning based flashover prediction model",
"accessURL": "https://doi.org/10.18434/M32258"
},
{
"title": "Heat Detector Temperature Data and Supplemental Material",
"format": "Excel spreadsheet with 4 tabs",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "Schematic of simulation setup, list of simulation runs and conditions, specification of heat detectors, and temperature data of all heat detectors from 1000 simulation runs.",
"downloadURL": "https://data.nist.gov/od/ds/mds2-2258/P-Flash%20all%20data%202020-6-26.xlsx"
},
{
"title": "SHA256 File for Heat Detector Temperature Data and Supplemental Material",
"mediaType": "text/plain",
"downloadURL": "https://data.nist.gov/od/ds/mds2-2258/P-Flash%20all%20data%202020-6-26.xlsx.sha256"
}
]
|
| identifier | ark:/88434/mds2-2258 |
| issued | 2020-09-04 |
| keyword |
[
"Machine learning; Synthetic temperature data; Flashover occurrence prediction; Smart firefighting"
]
|
| landingPage | https://data.nist.gov/od/id/mds2-2258 |
| language |
[
"en"
]
|
| license | https://www.nist.gov/open/license |
| modified | 2020-03-25 00:00:00 |
| programCode |
[
"006:045"
]
|
| publisher |
{
"name": "National Institute of Standards and Technology",
"@type": "org:Organization"
}
|
| references |
[
"https://link.springer.com/article/10.1007/s10694-020-01022-9",
"https://www.sciencedirect.com/science/article/pii/S0379711221000825"
]
|
| theme |
[
"Fire:Fire detection",
"Fire:Fire fighting"
]
|
| title | Synthetic Temperature Data for P-Flash - A Machine Learning-Based Model for Flashover Prediction Using Recovered Temperature Data |
