Article Details

Abstract

With the accelerated development of the digital economy, digital transformation has become an inevitable path for the inspection industry to enhance core competitiveness and achieve high-quality development. Traditional inspection institutions often face problems such as data islands, disordered processes, low efficiency and lagging management in the administration of branch laboratories in various regions. This paper aims to study how to realize efficient integrated management of the parent laboratory and branch laboratories by constructing a smart inspection cloud platform under the background of digital transformation. Firstly, this paper analyzes the problems existing in the traditional management mode. Secondly, it expounds the core architecture and functions of the smart inspection cloud platform, focuses on the enabling mechanism of the platform in four aspects: data, process, knowledge and decision-making, and elaborates the practice path of “from point to surface and step-by-step progression”. Finally, through the analysis of expected results, this paper proves the important significance of this mode in improving operation efficiency, data value mining, service quality and risk control ability of inspection institutions.

Keywords

digital transformation; integrated management; smart inspection cloud platform; enabling mechanism; laboratory information management system; inspection certification

References

1. [1] China National Accreditation Service for Conformity Assessment Accreditation Criteria for Testing and Calibration Laboratory Competence: CNAS-CL01:2018 [S]. Beijing: China National Accreditation Service for Conformity Assessment, 2018
2. [2] Guo Xiaowei, He Jing, Li Qian Research on the Application of Safety Risk Warning System in the Construction Area of Expressway Reconstruction and Expansion [J]. Highway, 2025, 70 (2): 323-327
3. [3] Liu Tangzhi, Liu Tong, Lu Guangquan, etc A Comprehensive Review of the Development and Research of Smart Highways (2025): Theoretical Methods and Technical Applications of Traffic Safety [J]. Highway Transportation Technology, 2025, 42 (10): 71-111
4. [4] Wang Yibing, Hu Ran, Yu Hongxin, etc A global traffic state prediction method for non detection points on highways [J]. Journal of Transportation Engineering, 2025, 25 (1): 274-294
5. [5] Zhang Yunlin Research on the Application of Blockchain Technology in the Dynamic Detection System of Highway Trucks: A Case Study of Xuzhou City [J]. Modern Information Technology, 2024, 8 (15): 185-189
6. [6] Man Nan Design and Implementation of CA Electronic Archive Management System [D]. Chengdu: University of Electronic Science and Technology of China, 2014
7. [7] Yu Shude Intelligent Control and Informatization Construction Plan for Third Party Inspection Institutions in Highway Construction [J]. Intelligent Buildings and Smart Cities, 2025 (10): 184-186
8. [8] Shen Yuran Research on the influencing factors and pathways of smart construction site construction [D]. Hebei University of Architecture and Technology, 2024
9. [9] Zhang Qingnan Discussion on Standardized Construction and Standardized Management of Highway Engineering Site Laboratories [J]. New Industrialization, 2022, 12 (3): 40-43
10. [10] Zhao Yibo, Li Lun, Yang Chuanbo, etc Research on the Construction of Intelligent Laboratory for Highway Engineering [J]. Highway, 2025, 70 (10): 290-294

About the authors

Sun Ming (December 1993-), male, Han ethnicity, born in Nanjing, Jiangsu, is an engineer with a bachelor's degree. His research direction is intelligent laboratory.