International Journal of Frontiers in Engineering Technology, 2023, 5(12); doi: 10.25236/IJFET.2023.051205.
Liu Yaji1,2, Zou Chaoying3, Jia Tingbo1,2, Xu Xiaoqian1,2, Zhao Jiamin1,2
1Yunnan Open University, Kunming, Yunnan, China
2Yunnan National Defense Industry Vocational and Technical College, Kunming, Yunnan, China
3Kunming Metallurgy College, Kunming, China
In this paper, cloud computing technology is applied to the construction process of monitoring system, and a design method of rural construction project quality monitoring system based on cloud computing is proposed. We use decision tables to model normative knowledge, and use frame notation to organize quality monitoring information. Based on the rule engine, the quality monitoring specification knowledge and the quality monitoring data are managed separately, which enhances the maintainability of the specification knowledge and the adaptability of the system. This method makes full use of the advantages of cloud computing in resource management and service sharing, and improves the monitoring efficiency of rural construction projects.
cloud computing; rural construction; engineering quality control system
Liu Yaji, Zou Chaoying, Jia Tingbo, Xu Xiaoqian, Zhao Jiamin. Research on the Application of Computer Cloud Computing Technology in the Quality Management and Control System of Rural Construction Engineering. International Journal of Frontiers in Engineering Technology (2023), Vol. 5, Issue 12: 22-27. https://doi.org/10.25236/IJFET.2023.051205.
[1] Xu Jian, Wu Zhicai, Zhang Yangyang. Research on the Subjective Evaluation of the Happiness of Rural Residents in Southern China under the Background of Tourism Poverty Alleviation. Southern Architecture, vol. 10, pp. 26-33, March 2019.
[2] Chen Lili, Ye Bo, Gao Junling, et al. Survey on the quality of life of rural elderly in a poverty-stricken area in Shanxi Province. Chinese Public Health, vol. 35, pp. 866-871, July 2019.
[3] Wang Chaofei. The distribution characteristics and quality evaluation of rural landscape in Chuxiong Prefecture based on tourism poverty alleviation. China Agricultural Resources and Regionalization, vol. 40, pp. 7-19, September 2019.
[4] Hou Jinjie, Zhu Lixin. Analysis of the quality accident of the whole village relocation and resettlement house in a new rural construction project in a certain area. Earthquake Resistant Engineering and Reinforcement, vol. 41, pp. 153-158,May 2019.
[5] Yang Jianyu, Zhou Zhenxu, Du Zhenrong, et al. Extraction of rural construction land from high-resolution remote sensing images based on SegNet semantic model. Transactions of the Chinese Society of Agricultural Engineering, vol. 35, pp. 259-266,May 2019.