Name
Title | ||
|---|---|---|
Architecture and Implementation of Real-Time Analysis System Based on Cold Chain Data. |
Abstract | ||
|---|---|---|
How to use the new processing technology, timely access to temperature and humidity changes, and timely processing of the resulting data to adjust the cold chain environment? These questions have become an urgent problem for many logistics companies. The distributed computing frameworks provides a reliable solution to this problem. We design and implement a temperature and humidity monitoring system that combines Flume, Kafka, and Spark Streaming to advance the cold chain transportation in the production environment. This system will efficiently and reliably obtain and analyze data such as temperature and humidity, and a warning is given when the environment is abnormal. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-93659-8_44 | COMPLEX, INTELLIGENT, AND SOFTWARE INTENSIVE SYSTEMS |
Field | DocType | Volume |
Architecture,Spark (mathematics),Monitoring system,Computer science,Development environment,Real time analysis,Cold chain,Distributed computing | Conference | 772 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenkang Xie | 1 | 0 | 0.68 |
| Peng Li | 2 | 1 | 2.43 |
| He Xu | 3 | 47 | 12.76 |