Design of 3D Model of Cross-Regional Water Transport Device for
Water Conservancy Project Based on High in the Clouds
Tingting Deng
Shandong Water Polytechnic, Rizhao, Shandong, 276800,China
Keywords: Digital Twin Theory, High in the Clouds, Water Transport Device, 3D Model, Design, Water Conservancy
Projects Across Districts.
Abstract: The design of the three-dimensional model of the water transport device plays an important role in the cross-
regional of water conservancy projects, but there is a problem of inaccurate design positioning. Traditional
deep learning cannot solve the problem of designing 3D models in cross-regional hydraulic projects, and the
effect is not satisfactory. Therefore, the design of the three-dimensional model of the cross-regional water
transport device of water conservancy project based on high in the clouds is proposed, and the design of the
three-dimensional model of the cross-regional water transport device of water conservancy project is
analyzed. Firstly, the digital twin theory is used to locate the influencing factors, and the indicators is divided
according to the design requirements of the three-dimensional model of the water transport device, so as to
reduce the interference factors in the design of the three-dimensional model of the water transport device.
Then, the digital twin theory is used to form the design scheme of the three-dimensional model of the high in
the clouds water transport device, and the design results of the three-dimensional model of the water transport
device is comprehensively analyzed. The MATLAB simulation results show that under certain evaluation
standards, the high in the clouds is better than the traditional deep learning in terms of the design accuracy
of the 3D model of the water transport device and the time of the design influencing factors of the 3D model
of the water transport device.
1 INTRODUCTION
The design of the three-dimensional model for water
transport devices plays a crucial role in cross-regional
water conservancy projects, as it enables faster and
more accurate establishment of the said models (Song
and Zhang, et al. 2023). However, during the design
process of these three-dimensional models, there
exists an issue of poor accuracy in their design
schemes, which negatively impacts the overall quality
of the water transport device's three-dimensional
model (Pan and Guo, 2023). The application and
analysis of high water device transmission data set are
also explored in this study. Some scholars suggest
that incorporating cloud-based technology into the
analysis of three-dimensional models for water
transport devices can effectively evaluate the design
schemes and provide necessary support for their
optimization (Jiao and Lin, et al. 2023). Building
upon this idea, this paper proposes utilizing cloud-
based technology to enhance the design scheme of the
three-dimensional model for water transport devices
and validates its effectiveness (Duan and Yanchun, et
al. 2023).
2 RELATED CONCEPTS
2.1 Mathematical Description of the
High in the Clouds
The cloud-based system utilizes computer technology
to enhance the design scheme of the three-
dimensional model for the water transport device
(Qian and Zhang, et al. 2023). It takes into account
the index parameters involved in the design process
of the three-dimensional model for the water transport
device. it is
i
y
found that the unqualified value
parameters in the three-dimensional model of the
water transport device is
i
z
, and the design scheme of
the three-dimensional model of the water transport
Deng, T.
Design of 3D Model of Cross-Regional Water Transport Device for Water Conservancy Project Based on High in the Clouds.
DOI: 10.5220/0013541100004664
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 3rd International Conference on Futuristic Technology (INCOFT 2025) - Volume 1, pages 339-345
ISBN: 978-989-758-763-4
Proceedings Copyright © 2025 by SCITEPRESS – Science and Technology Publications, Lda.
339

device is
(
iij
tol y t⋅ ）
integrated with the function to
finally judge the feasibility of the three-dimensional
model of the water transport device, calculated as in
formula (1).shown.
22
lim( ) lim max( 2)
iij ij ij
xx
yt y a b t
→∞ →∞
⋅= ≥ + ÷
(1)
Among them, the judgment of outliers is shown in
Equation (2).
2
max( ) ( 2 ) ( 4)
ij ij ij ij
tttmeant=+⋅ +

A
(2)
The high in the clouds combines the advantages
of computer technology and uses the three-
dimensional model of the water transport device for
quantification, which can improve the design
accuracy of the three-dimensional model of the water
transport device (Fan and Liu, et al. 2023).
Suppose I the design scheme judgment function
of the three-dimensional model of the water transport
device is
(0)
i
Ft≈
as shown in Equation (3).
() lim 2 7
ii i
x
Fd t
y
ξ
→∞
=⋅→⋅




(3)
2.2 Selection of Design Scheme of
Three-Dimensional Model of Water
Transport Device
Hypothesis II The three-dimensional model function
of the water transport device is and the weight
coefficient is
()
i
g
t
, then, the design requirements of
the three-dimensional model of the water transport
device is unqualified and the three-dimensional
model of the water transport device is shown in
Equation
i
w
(4).
()= ( )
ii i i
dy
gt x z Fd w
dx
⋅−
∏


(4)
According to hypotheses I and II, a
comprehensive function of the design of the three-
dimensional model of the water transport device can
be acquired, and the outcome is depicted in Equation
(5).
lim ( ) ( ) max( )
ii ij
x
gt Fd t
→∞
+≤

(5
)
To improve the design reliability of the 3D model
of the water transport device, all data needs to be
standardized and the result is shown in Equation (6).

lim ( ) ( ) ( 4)
ii ij
x
gt Fd mean t
→∞
+↔ +

(6
)
2.3 Analysis of the Design Scheme of
the Three-Dimensional Model of
the Water Transport Device
The crucial to conduct a comprehensive analysis of
the design scheme for the three-dimensional model of
the water transport device. This entails mapping the
design requirements of the three-dimensional model
to the corresponding library and subsequently
eliminating any design schemes that fail to meet the
necessary criteria (Yang and Zhu, et al. 2023).
According to Equation (6), the anomaly evaluation
scheme can be proposed, and the results is shown in
Equation (7).

() ( )
()
(4)
ii
i
ij
gt Fd
No t
mean t
+
=
+

(7
)
The scheme is not proposed, then scheme
integration is necessary, and the outcome is illustrated
in Equation (8).

2
() 4 [ () ( )]
iii
Z
ht b ac gt Fd=− +

(8
)
The comprehensive analysis of the 3D model for
the water transport device includes setting thresholds
and assigning weights to design schemes, ensuring
precise accuracy in high-altitude environments
(Zhao, 2023). The systematic testing of the 3D model
design scheme for the water transport device requires
accurate analysis (Ouyang and Xiang, 2023).
Reducing the design accuracy of the overall 3D
model of the water transport device, and the
calculation result is shown in Equation (9).


min[ ( ) ( )]
( ) 100%
() ( )
ii
i
ii
gt Fd
accur t
gt Fd
+
=×
+


(9
)
The investigation of the design scheme of the
three-dimensional model of the water transport
INCOFT 2025 - International Conference on Futuristic Technology
340

device shows that the design scheme of the three-
dimensional model of the water transport device
presents a multi-dimensional distribution, which is in
line with the objective facts (Peng, 2023). The three-
dimensional model of the water transport device has
no conditionality, which indicates that the design
scheme of the three-dimensional model of the water
transport device has strong randomness, so it is
regarded as a high analysis study (Liu and Huang, et
al. 2023). If the random function of the three-
dimensional model of the water transport device is
()
i
randon t
, then the calculation of Equation (9)
can be expressed as Equation (10).


min[ ( ) ( )]
() ()
lim ( ) ( )
ii
ii
ii
x
gt Fd
accur t randon t
gt Fd
→∞
+
=+
+


(10
)
Among them, the three-dimensional model of the
water transport device meets the normal
requirements, mainly because the computer
technology adjusts the three-dimensional model of
the water transport device, removes the duplicate and
irrelevant schemes, and supplements the default
scheme, so that the design scheme of the entire three-
dimensional model of the water transport device has
a strong dynamic correlation (Chai and Zhou, 2023).
3 OPTIMIZATION STRATEGY
OF 3D MODEL OF WATER
TRANSPORT DEVICE
The high in the clouds adopts a random optimization
strategy for the 3D model of the water transport
device and adjusts the Internet information
parameters to realize the scheme optimization of the
3D model of the water transport device (Wang and
Fan, et al. 2023). The high in the clouds divides the
3D model of the water transport device into different
design levels of the 3D model of the water transport
device, and randomly selects different schemes. In the
iterative process, the design scheme of the 3D model
of the water transport device with different design
levels of the 3D model of the water transport device
is optimized and analyzed. After the optimization
analysis is completed, the design level of the 3D
model of the water transport device of different
schemes is composed, and the best 3D model of the
water transport device is recorded.
4 PRACTICAL EXAMPLE OF A
3D MODEL OF A WATER
TRANSPORT DEVICE
4.1 Introduction to the Design of the
Three-Dimensional Model of the
Water Transport Device
I collected data on the basis of June 2020, and
comprehensively judged by the information and data
of the high water level device, and realized the
perfection of the data.
Table 1: Design requirements for 3D models of water
transport devices
Scope of
application
Grade Accuracy Design of 3D
model of water
transport device
Engineering
construction
I 85.00 78.86
II 81.97 78.45
Equipment
selection
I 83.81 81.31
II 83.34 78.19
Equipment
optimization
I 79.56 81.99
II 79.10 80.11
The design process for the 3D model of the water
transport device in Table 1. is shown in Figure 1.
Irrigation works Analysis
Three-
dimensional
model
District
High in the
clouds
Transport water Installation
Figure 1: Analysis process of 3D model of water transport
device
In terms of rationality and accuracy, high in the
clouds outperforms deep learning in designing the 3D
model of the water transport device. Figure 2
illustrates that the design changes in the 3D model of
the water transport device demonstrate improved
accuracy and reliability when using high in the
clouds. Consequently, the design speed, accuracy of
the design scheme, and overall stability of the 3D
Design of 3D Model of Cross-Regional Water Transport Device for Water Conservancy Project Based on High in the Clouds
341

model of the water transport device are enhanced
when utilizing high in the clouds.
4.2 Three-Dimensional Model of Water
Transport Device
The design of the three-dimensional model for the
water transport device encompasses non-structural
information, semi-structural information, and
structural information. Following the ore-selection
process in the high-altitude region, a preliminary
three-dimensional model of the water transport
device is obtained, and the feasibility of its design
scheme is analyzed. In order to accurately verify the
effectiveness of the 3D model for the water transport
device, different design levels of the 3D model are
selected, and the corresponding design schemes are
presented
Table 2: The overall situation of the design scheme of the
3D model of the water transport device
Category Random
data
Reliability Analysis
rate
Engineering
construction
85.32 85.90 83.95
Equipment
selection
86.36 82.51 84.29
Equipment
optimization
84.16 84.92 83.68
Mean 86.84 84.85 84.40
X6 83.04 86.03 84.32
P=1.249
4.3 Design and Stability of the Three-
Dimensional Model of the Water
Transport Device
The "high in the clouds" approach, the design scheme
for the 3D model of the water transport device is
compared with the design scheme incorporating deep
learning techniques. The design scheme for the 3D
model of the water transport device
The design of the 3D model for the water transport
device in the high in the clouds surpasses deep
learning in terms of quality, while maintaining a
lower error rate. This suggests that the design of the
3D model for the water transport device in the high in
the clouds is relatively stable, whereas the design of
the 3D model for the water transport device using
deep learning exhibits inconsistency. The design
scheme for the average 3D model of the water
transport device for each of the three algorithms
Figure 2: Design of three-dimensional models of water
transport devices with different algorithms
Table 3: Comparison of design accuracy of 3D models of
water transport devices by different methods
Algorithm Survey
data
Design of
3D model
of water
transport
device
Magnitude
of change
Error
High in the
clouds
85.33 85.15 82.88 84.95
Deep
learning
85.20 83.41 86.01 85.75
P 87.17 87.62 84.48 86.97
Learning exhibits limitations in accurately
designing the three-dimensional model of the water
transport device. The three-dimensional model of the
water transport device experiences significant
changes and high error rates when utilizing deep
learning. On the other hand, the design of the 3D
model of the water transport device using general
cloud-based methods outperforms deep learning.
Moreover, the accuracy of the 3D model design in the
general cloud-based approach remains consistently
above 90% without significant fluctuations. To
further establish the superiority of the general cloud-
based method, a comprehensive analysis is conducted
using various techniques.
The design of the three-dimensional model for the
water transport device in the high in the clouds is
notably superior to deep learning. This can be
attributed to the fact that the high in the clouds
enhances the adjustment coefficient of the three-
dimensional model for the water transport device and
establishes a threshold for Internet information,
thereby eliminating any design schemes
INCOFT 2025 - International Conference on Futuristic Technology
342

Figure 3: Design of a 3D model of a water transport device
in the high in the clouds
4.4 Rationality of the Design of the
Three-Dimensional Model of the
Water Transport Device
The accuracy of the cloud-based high-in-the-clouds
method, the design scheme of the water transport
device incorporates deep learning to create a 3D
model, and the design scheme of the 3D model of the
water transport device is shown in Figure 4.
Figure 4: Design of three-dimensional models of water
transport devices with different algorithms
It can be seen from Figure 4. that the design
rationality of the three-dimensional model of the
water transport device in the high in the clouds is
better than that of deep learning, and the rationality of
the three-dimensional model of the water transport
device can be increased by improving the three-
dimensional model of the water transport device by
using the high in the clouds. The introduction of the
high in the clouds can provide a decentralized data
storage and management platform, ensuring that
results is securely recorded and saved. With the high
in the clouds, a unique identifier can be created for
each, and the relevant data and scheme can be
recorded on the high in the clouds.
4.5 Validity of the Design of the Three-
Dimensional Model of the Water
Transport Device
In order to verify the effectiveness of the high in the
clouds, the design scheme of the three-dimensional
model of the water transport device is comprised with
the design scheme of the 3D model of the water
transport device with deep learning, and the design
scheme of the 3D model of the water transport device
is shown in Figure 5 shown.
Figure 5: Design of 3D model of water transport device
with different algorithms
The design of the 3D model for the water transport
device in the high in the clouds surpasses deep
learning in terms of quality, while maintaining a
lower error rate. This indicates that the design of the
3D model for the water transport device in the high in
the clouds is relatively stable, whereas the design of
the 3D model for the water transport device using
deep learning exhibits inconsistency. The design
scheme for the average 3D model.
Table 4: Comparison of design effectiveness of 3D models
of water transport devices with different methods
Algorithm Survey
data
Design
of 3D
model
of water
transport
device
Magnitude
of change
Error
High in
the clouds
82.21 85.92 84.59 82.85
Deep
learnin
g
83.73 84.23 84.41 83.55
P 84.20 87.39 84.76 83.90
Deep learning exhibits limitations in accurately
designing the three-dimensional model of the water
Design of 3D Model of Cross-Regional Water Transport Device for Water Conservancy Project Based on High in the Clouds
343

transport device. The three-dimensional model of the
water transport device undergoes significant changes
and experiences a high error rate when utilizing deep
learning. In contrast, the design of the three-
dimensional model of the water transport device
using general techniques yields higher accuracy
compared to deep learning. Furthermore, the
accuracy of the 3D model of the water transport
device achieved through general methods remains
above 90% without significant fluctuations. To
further validate the superiority of the general
approach, the effectiveness of the proposed method in
this paper is assessed through a comprehensive
analysis.
Figure 6: Design of 3D model of high in the CLOUDS
WATER transport device
The design of the three-dimensional model for the
water transport device in the high in the clouds
outperforms deep learning. This can be attributed to
the high in the clouds' ability to enhance the
adjustment coefficient of the three-dimensional
model and establish a threshold for Internet
information, thereby eliminating any design schemes
for the water transport device that fail to meet the
requirements.
5 CONCLUSIONS
The three-dimensional model for water transport
devices, this study proposes a cloud-based approach
that leverages computer technology to optimize the
model. Additionally, it thoroughly examines the
design accuracy and reliability of the three-
dimensional model while constructing an internet-
based information collection system. The findings
indicate that the cloud-based approach significantly
enhances the accuracy of the three-dimensional
model for water transport devices, enabling it to be
applied to general models. However, excessive
emphasis on the design and analysis of the three-
dimensional model during the cloud-based process
may lead to the selection of inappropriate design
indicators for the model.
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