Journal of Construction Engineering Innovations and Research （Print:3060-8716 Online:3060-8724）is an international academic journal dedicated to advancing the latest innovations and research outcomes in the field of construction engineering. The journal covers a wide range of topics in construction engineering, including but not limited to architectural design and planning, structural engineering, construction materials and techniques, building energy efficiency and environmental sustainability, smart building technologies, Building Information Modeling (BIM), and sustainable construction. The aim of the "Journal of Construction Engineering Innovations and Research" is to provide a platform for researchers, engineers, and scholars in the field of construction engineering to exchange and share the latest research findings, innovative technologies, and industry trends, thereby promoting continuous development and advancement in the field of construction engineering.
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Feature Analysis of Rock Salt Well Logging Data and Applicability Evaluation for Three-Dimensional Modeling
Zan-Ye Zhang, Hong-Wei Di, Jing Chen
This study focuses on a rock salt exploration project and investigates the geophysical well logging data from six boreholes (DZK1–DZK6). First, the well logging operations are systematically reviewed, including survey objectives, instrumentation, technical parameters, quality control measures, and interpretation results, confirming that the acquired data are complete, accurate, and reliable. Subsequently, in accordance with standards such as the Technical Specifications for Three-Dimensional Geological Modeling, the applicability of using the logging dataset to construct a high-precision three-dimensional geological model of the rock salt deposit is comprehensively evaluated from multiple perspectives, including data foundation, technical feasibility, potential risk factors, and expected modeling accuracy. The results indicate that the logging data of the rock salt deposit are of high quality and fully meet the data input requirements for three-dimensional geological modeling. By adopting a scientifically sound technical workflow and appropriate risk mitigation strategies, a three-dimensional geological model with controllable errors and clear geological significance can be successfully established. The model can provide robust technical support for resource evaluation, optimization of mining schemes, and comprehensive utilization of geothermal energy in the mining area.
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Research on Green Building and HVAC Design in the Context of Smart Cities
Zhen-Hong Li
In the current era of booming smart city development, green buildings have emerged as a pivotal component of sustainable urban construction. As HVAC (Heating, Ventilation, and Air Conditioning) systems represent a significant portion of total building energy consumption, their design optimization is of profound significance to the efficacy of green architecture. This paper focuses on the background of smart cities and deeply analyzes the close relationship between green buildings and HVAC design. It elaborates on the basic concepts of smart cities and green buildings, as well as the correlation between the two, while defining the requirements and principles of HVAC design regarding energy efficiency, environmental protection, comfort, and intelligence. Key technologies—including high-efficiency energy saving, renewable energy utilization, intelligent control, and the selection of green materials and equipment—are discussed in detail. The objective is to provide theoretical support and practical guidance for HVAC design within green buildings in smart cities, promoting the transformation of the construction industry toward energy-saving, environmentally friendly, and intelligent directions, thereby facilitating the achievement of sustainable development goals for smart cities.
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Research on the Innovation of Smart Construction Project Management Models Based on Big Data
Qing-Yu He, Wen-Kai Jiang, Shi-Hong Huang
With the accelerated digital transformation of the construction industry, the innovation of smart construction project management models based on big data has become a key pathway to improving efficiency and quality in engineering projects. This study focuses on the deep integration of big data technologies throughout the entire lifecycle of construction. By establishing dynamic data collection, intelligent analysis, and decision-support systems, it enables real-time monitoring and precise control of project schedule, cost, quality, and safety. The research proposes a data-driven collaborative management framework that effectively addresses the “information silo” problem inherent in traditional models, providing a replicable innovative paradigm for high-quality development in the construction industry.
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Scientific Application and Optimization Research of Indoor Color Design in Architectural Decoration
Shuang Lei
Interior color design in architectural decoration serves as a bridge connecting spatial aesthetics with functional requirements, and its scientific application significantly influences spatial quality and user experience. Based on the triadic theory of color science and incorporating empirical studies in environmental psychology, this paper constructs a systematic framework for interior color design. By introducing digital color simulation tools and conducting spatial color perception experiments, the study quantitatively analyzes the impact patterns of color parameters. Addressing issues such as color imbalance and disconnection from functionality, a three-dimensional optimization pathway is proposed and its effectiveness validated. The research provides theoretical support and a practical paradigm for the scientific development of interior color design, contributing to the creation of modern human-centered living spaces.
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Analysis of the Whole-Process Engineering Consulting Management Model
Zheng Yang
The whole-process engineering consulting management model, as an innovative approach in the field of engineering construction, plays a significant role in improving project efficiency and quality. This paper analyzes the whole-process engineering consulting management model, which is characterized by its comprehensiveness, integration, professionalism, and clearly defined responsibilities. In different stages of engineering construction, the model covers: feasibility studies and decision-making in the planning stage; design management, optimization, and cost control in the design stage; construction management and supervision in the construction stage; and acceptance, post-evaluation, and document archiving in the completion stage. Key implementation elements include professional teams, advanced information technologies, and a sound management system, ensuring smooth project progress and overall effectiveness.
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