Big data "online running" inspections accurate and efficient

Correspondent Zhang Ke

"We compared the online system horizontally and found that there are problems with this contract approval. Please review it in time." Since this year, China Railway Construction Beijing Company has inspected 7 projects. Compared with the past, inspectors entered the field with problems, and in addition to conventional processes such as the mobilization meeting, democratic evaluation, on -site inspection, conversation, etc., a notification of questioning issues was added, which greatly improved the inspection efficiency.

Beijing Company is the pilot unit of China Railway Construction "Big Data" supervision. They took the lead in incorporating five major information management platforms such as engineering progress systems, economic management systems, and materials and equipment digital management platforms into conventional inspections, and analyzed data analysis of project labor team management, material materials management, cost management and other conditions. The "artificial inspection" and "smart inspections" have been promoted simultaneously, and the inspection work has achieved inspections from artificial "offline" to data "online".

Six "first cut and then play", 4 rotation materials, 4 issues of losing money, 2 final settlement lag, 2 reinforced concrete warning issues, 6 "three meetings and one lesson" problem ... In the first round of the company's 2022 round of routine, the conventional routine of 2022 During the inspection, the inspection team had not yet entered the project site, and 20 problems had been found through the business system. "In the past, inspections lasted for a few days. Now not only saves manpower and material resources, but also greatly improves the inspection efficiency." Liu Xuewu, deputy leader of the company's inspection team, said. The data shows that after the "big data" supervision, the average single project inspections will save 1 day.

Through the method of "on -site check+conversation+data inspection", the company's inspection team verified the problems of big data comparison and achieve problem output after deepening the project site. Before the inspection, the horizontal analysis comparison data was found in advance. During the inspection, focus on the problem of focusing on the problem and promote precise and efficient supervision. After the inspection, the relevant data comparison was retrieved again, verifying the effectiveness of the inspection and rectification, and opening the key work to implement the "last mile".

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