and computational mechanics. It also requires
technical expertise in domains like architecture,
bridges, and water conservation. You also have
to perform big data analysis and AI-based data
mining based on data modelling. Then you need
to obtain valid structural damage identification,
structural stiffness matrix calibration and
reanalysis, and perform structural lifespan
predictions.
Yunlu + Huawei Cloud EI
The system developed by Yunlu Technology
and Huawei, Huawei Cloud EI rapidly discovers
potential safety hazards through analysis and
identification, issues early warnings of possible
structural dangers, and provides data support for
construction and O&M departments.
We have deployed over 50 Huawei Cloud
platform development modules. All the services run
on Huawei cloud services. We leverage middleware,
including data storage services, as well as various
platforms, such as ModelArts’ machine learning,
deep learning, and image recognition platforms.
More specifically, Yunlu Technology has
developed five use cases that utilise Huawei
Cloud EI.
Use Case 1: Data collection
The first use case is data collection. For example,
fibre-optic sensors can be used to transmit data to
a collection device, which then connects to an on-
site host, and the data is then transmitted to the
cloud. However, this deployment model is complex
and expensive.
With the increasing interconnectivity of
everything, we have adopted Huawei’s IoT modules
to make it more convenient to access the system.
We also use Huawei’s edge computing modules for
prompt data processing. Moreover, by leveraging
Huawei’s edge devices we can access data from
a variety of sensors to achieve multiple functions
using one device.
With edge, device, and cloud synergy, overall
equipment costs have been reduced by over 70%
and the system response is twice as fast. And
thanks to Huawei’s edge computing module, we
have cut invalid data transmission by two-thirds
and increased valid data by over 50%.
Use Case 2: Ensuring data consistency
The second use case is ensuring data consistency.
Numerous departments participate in the
data collection process. You also have a very
complicated personnel situation and a very long
construction lifecycle as well as frequent changes.
Ensuring the consistency of data and objects
is a common challenge and problem. We leverage
the Huawei blockchain platform to distribute all
blueprints and contracts through the blockchain.
This ensures that data and content from various
stakeholders, including owners, planners,
designers, construction, and O&M, are unified.
Use Case 3: Structural health prediction
The third use case is structural health prediction.
What we wanted to achieve here is to get prompt
information about a construction project. If a
building has a defect, we want to quickly replace
the defective part to prevent an accident.
So we need to make effective predictions
about the lifespan and health of a construction
project, as capacity changes over time.
Using measurements of environmental loads,
such as wind and temperature, as well as a
structure’s true response, we are able to calibrate
the stiffness matrix. Through this process, we can
calibrate the overall matrix of the system, or design
parameters such as density, elastic modulus, and
other constraints, to arrive at the structure’s true
current capacity.
We can then make accurate forecasts of a
building’s structural response using predictable
factors such as wind speed, wind pressure, and
temperature. With the help of Huawei Cloud’s
machine learning engineers, we have achieved a
prediction accuracy of close to 90%.
Use Case 4: Automatic site inspection
The fourth use case is automatic site inspection
against construction specifications. With the
industrialisation of buildings, there are now many
new forms of construction, including what are
known as industrialised residential structures.
These are precast buildings - the concrete is
not cast on site; instead, the components are
transported to the site for on-site assembly.
Residential industrialisation is already a
relatively mature industry and is common in many
developed nations. China predicts that precast
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