Construction of Elevator Inspection Quality Evaluation System Based on Big Data

被引：0

作者：

Zhang, Xupeng ^{[1
]}

Liang, Du ^{[2
]}

机构：

[1] Beijing Special Equipment Inspect Ctr, Beijing, Peoples R China

[2] China Special Equipment Inspect & Res Inst, Beijing 100029, Peoples R China

来源：

PROCEEDINGS OF 2019 IEEE 9TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC 2019) | 2019年

基金：

国家重点研发计划;

关键词：

Elevator; inspection; big data; quality evaluation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Elevator inspection information has typical big data characteristics. This paper points out that the elevator inspection data introduces the method of elevator inspection big data analysis. Taking elevator inspection as an example, it lists several kinds of big data analysis methods for inspection data, including the risk points describing the basic information of the elevator, the scanning inspection process and the inspection quality. Based on frequency analysis of active factors, outlier test, quality assessment, correlation analysis. Using big data technology, it can make statistical analysis on the data obtained by elevator inspection, make the inspection situation more intuitive, help the management organization to understand the overall elevator quality and elevator inspection, and build an elevator inspection quality evaluation system to make the work more transparent and management more precise. Find more accurate questions, deeper supervision, and more scientific government decisions.

引用

页码：238 / 242

页数：5

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