仪器仪表用户2024,Vol.31Issue(10) :50-52,55.DOI:10.3969/j.issn.1671-1041.2024.10.018

机电工程安装施工的质量控制与检测技术研究

Research on Quality Control and Testing Technology of Mechanical and Electrical Engineering Installation Construction

郑晓珠
仪器仪表用户2024,Vol.31Issue(10) :50-52,55.DOI:10.3969/j.issn.1671-1041.2024.10.018

机电工程安装施工的质量控制与检测技术研究

Research on Quality Control and Testing Technology of Mechanical and Electrical Engineering Installation Construction

郑晓珠1
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作者信息

  • 1. 广东宏盛建安消防工程有限公司,广东珠海 519000
  • 折叠

摘要

机电工程安装施工的质量控制是确保项目满足安全和性能标准的核心环节.随着技术的进步和行业规范的升级,传统检测方法已经无法满足当前的高效率和高精度需求.本文深入探讨了激光扫描技术与人工智能算法结合的创新检测技术在机电工程安装中的应用,通过分析现有技术如无损检测和电气设备检测的局限性,并结合具体案例,展示了该综合技术如何优化数据处理和故障检测过程,从而显著提高施工质量监控的效果.研究结果不仅验证了该技术的有效性,也为行业实践者提供了宝贵的理论与实践指导.

Abstract

The quality control of mechanical and electrical engineering installation construction is the core step in ensuring projects meet safety and performance standards.With technological advancements and industry norm updates,traditional detection methods can no longer meet current demands for high efficiency and precision.This article delves into the application of innovative detection technology that combines laser scanning technology with artificial intelligence algorithms in mechanical and electrical engineering installation.By analyzing the limitations of existing technologies such as non-destructive testing and electrical equipment inspection,and combining with specific cases,it demonstrates how this integrated technology optimizes data processing and fault detection processes,thus significantly enhancing the effectiveness of construction quality monitoring.The research results not only validate the effectiveness of this technology,but also provide valuable theoretical and practical guidance for industry practitioners.

关键词

机电工程安装/质量控制/激光扫描/人工智能/高精度检测技术

Key words

mechanical and electrical engineering installation/quality control/laser scanning/artificial intelligence/high-precision detection technology

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出版年

2024
仪器仪表用户
天津仪表集团有限公司,中国仪器仪表学会节能技术应用分会

仪器仪表用户

影响因子:0.255
ISSN:1671-1041
参考文献量7
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