Temperature control, which is directly responsible for the project quality and progress, plays an important role in high arch dam construction. How to discover the rules from a large amount of temperature control information collected in order to guide the adjustment of temperature control measures to prevent cracks on site is the key scientific problem. In this paper, a mathematic logical model was built firstly by means of a coupling analysis of temperature control system decomposition and coordination for high arch dam. Then, an analysis method for temperature control information was presented based on data mining technology. Furthermore, the data warehouse of temperature control was designed, and the artificial neural network forecasting model for the highest temperature of concrete was also developed. Finally, these methods were applied to a practical project. The result showed that the efficiency and precision of temperature control was improved, and rationality and scientificity of management and decision-making were strengthened. All of these researches provided an advanced analysis method for temperature control in the high arch dam construction process.
[1]
Homayoun Najjaran,et al.
Exploring the Relationship between Soil Properties and Deterioration of Metallic Pipes Using Predictive Data Mining Methods
,
2010,
J. Comput. Civ. Eng..
[2]
Mingchao Li,et al.
Theory on real-time control of construction quality and progress and its application to high arc dam
,
2010
.
[3]
N. O. Nawari.
The Role of Data Mining Techniques in the Prediction of Hurricane Damages
,
2008
.
[4]
Mohamed Abdel-Aty,et al.
Application of Data Mining Techniques for Real-Time Crash Risk Assessment on Freeways
,
2006
.
[5]
Junhong Li,et al.
Study on the Forecasting Models of Slope Stability under Data Mining
,
2010
.
[6]
Haitao Su,et al.
Knowledge Discovery Model of Logistics Based on Data Mining Technology of ANN
,
2010
.