The existing major information management platforms
are characterized by low compatibility and expansibility and single function,
which cannot meet the current engineering management requirements. Hence, the
key technologies for the platform construction are studied from the aspects of highquality
platform framework of big data management, data acquisition with goodcompatibility and distributed storage with strongexpansibility. Firstly, the industrial Hadoop cluster ecological
framework is created by adopting the distributed HBase column storage database
and highperformance Spark memory computing engine. And
then a data acquisition system with multiprotocol,
multichannel and strong compatibility is designed to
provide technical support for the acquisition, storage and construction of the
big data platform of tunnel boring machine. Finally, a big data management
platform integrating the functions of intelligent monitoring, comprehensive
analysis, collaborative management and big data application for tunnel boring
machine is established, which can provide reference for similar big data
platform design and development in terms of management and technology, and
improve the construction efficiency and intelligent management level of tunnel
boring machine.
SUN Zhenchuan
,
QIAN Tongtu
,
REN Yingying
,
CHU Changhai
,
ZHOU Zhenjian
.
Study on Key Technologies and Application of
Engineering Big Data Management
Platform of Tunnel Boring Machine
[J]. Tunnel Construction, 2020
, 40(6)
: 783
-792
.
DOI: 10.3973/j.issn.2096-4498.2020.06.002
