J
Jianping Song
Researcher at University of Texas at Austin
Publications - 12
Citations - 793
Jianping Song is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: WirelessHART & Wireless. The author has an hindex of 6, co-authored 12 publications receiving 754 citations.
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Proceedings ArticleDOI
WirelessHART: Applying Wireless Technology in Real-Time Industrial Process Control
TL;DR: An introduction to the architecture of WirelessHART is given and several challenges the implementation team had to tackle during the implementation are described, such as the design of the timer, network wide synchronization, communication security, reliable mesh networking, and the central network manager.
Improving PID Control with Unreliable Communications
TL;DR: This paper identifies the poor dynamic response of the standard PID algorithms in the case of lost communications and proposes an enhanced PID algorithm, which acts exactly the same as a standard PID block when there is no communication loss.
Proceedings ArticleDOI
Wi-HTest: Compliance Test Suite for Diagnosing Devices in Real-Time WirelessHART Network
Song Han,Jianping Song,Xiuming Zhu,Aloysius K. Mok,Deji Chen,Mark Nixon,Wally Pratt,Veena Gondhalekar +7 more
TL;DR: This paper presents Wi-HTest, the test suite designed to exercise WirelessHART devices, thus facilitating compliance assessment and discusses the detailed architecture of Wi- HTest and highlights several critical features like packet handling with accurate timing control and fault data injection.
Proceedings ArticleDOI
A complete wirelessHART network
TL;DR: This demonstration builds a fully operational WirelessHART sensor network of multiple nodes and shows the creation of the network and the execution of process monitoring applications on the network.
Proceedings ArticleDOI
A Location-Determination Application in WirelessHART
TL;DR: This is the first attempt to develop location-aware application in WirelessHART networks and the results are very promising, with a median error less than 4 meters, which is good enough for the industrial requirement.