3 DEVELOPMENT TREND OF
ENGINEERING SURVEYING
AND MAPPING
With the progress of computer science, engineering
surveying and mapping gradually began to intelligent
transformation, which is the general trend, although
the accuracy of surveying and mapping is getting
higher and higher, modern technology is still not
mature, although the UAV remote sensing surveying
and mapping technology can be quickly and
efficiently deployed and work, but still can not be
used in special weather conditions, and the endurance
time is not high; Although the development of BIM
and GIS can make building design and management
more efficient, and security monitoring can be
guaranteed, they are still in the initial stage. Coupled
with the changes in stakeholders and old-fashioned
ideas, they are faced with many obstacles and cannot
be widely implemented. Besides, BIM and GIS
systems can save costs for project expenditure.
However, more work is needed to implement the
design in the early stage, and the number of workers
who have the relevant knowledge is also smaller,
which leads to more expenses.
Future engineering surveying and mapping is
developing towards digitalisation, intelligence and
big data analysis. With the improvement of computer
computing power in recent years, the addition of
machine learning, artificial intelligence and other
technologies can replace users to complete some
basic operations, such as autonomous UAV
navigation (Lu, 2018). This technology can ensure
that the UAV moves along a given route in a complex
dynamic environment, using AI's visual analysis to
determine the running path and avoid roadblocks
(Trzeciak, 2023); For example, the use of AI to merge
time-synchronized and spatially registered images
and LiDAR scans into higher resolution dense scans,
then gradually reconstructed, which can retain useful
3D point data, eliminate noise, and make 3D
modeling clearer (Zhu, 2021).
The amount of data generated by engineering
surveying and mapping is very large, and the sources
of the data are mixed. Therefore, combining big data
analysis and cloud computing technology can more
effectively store, manage and analyse the surveying
and mapping data, and realise the real-time sharing
and presentation of data. By introducing neural
networks to fuse full-wave LiDAR and polar-
interferometric SAR data information, users can
predict a wide range of forest information.
4 CONCLUSION
This paper discusses the current development status
of engineering surveying and mapping technology
and mainly studies the use of UAV remote sensing
surveying and mapping technology, BIM systems and
GIS systems in the current industry. The research
found that although the UAV remote sensing
mapping technology has been widely used in the
mapping process, the UAV platform still has the
problems of insufficient endurance and low stability,
and the efficiency of the data processing method
collected by the sensor is still not fast enough. BIM
system plays a significant role in improving
construction efficiency and reducing costs, but it is
not widely used at present due to the old-fashioned
thinking of the industry. GIS systems can help
engineers better understand terrain data and
environmental information, but its obstacle is that the
information source is complex, and the data is large
and difficult to process and integrate. In the future,
with the addition of big data and artificial intelligence,
all kinds of information obtained from surveying and
mapping will be more closely linked, and the
engineering surveying and mapping industry will
liberate complicated human labour and develop in a
more intelligent direction.
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