Scholarlink

<p style="background: white;">This book focuses on the key quality control <span style="mso-bidi-font-weight: bold;">and quality acceptance</span> links in modern infrastructure construction. It deeply analyzes the latest technologies and methods of non-destructive testing <span style="mso-bidi-font-weight: bold;">and intelligent control technology</span> of compaction quality. It not only covers the optimization and upgrading of traditional testing methods, but also focuses on the intelligent detection and control system based on cutting-edge technologies such as the Internet of Things, big data, artificial intelligence, intelligent control, information and communication technology, robots, and edge computing, which realizes real-time monitoring and precise control of the compaction process. At the same time, this book also innovatively proposes an autonomous decision-making model, which significantly improves the efficiency and quality of compaction operations through a closed-loop control system formed by perception-decision-control.</p><p style="background: white; text-wrap-mode: wrap;">This book is rich in content and clear in structure. It is suitable as a reference both for practitioners and graduate students engaged in infrastructure construction, quality inspection and intelligent control technology, civil and transportation engineering. Readers gain comprehensive knowledge and latest industrial trend on compaction quality inspection and intelligent control technology.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Compaction Quality Nondestructive Testing and Intelligent Control Technology for Infrastructure

  • 书籍

  • 发表日期：

    2026年

查看全文
  • Qinglong Zhang

摘要

This book focuses on the key quality control and quality acceptance links in modern infrastructure construction. It deeply analyzes the latest technologies and methods of non-destructive testing and intelligent control technology of compaction quality. It not only covers the optimization and upgrading of traditional testing methods, but also focuses on the intelligent detection and control system based on cutting-edge technologies such as the Internet of Things, big data, artificial intelligence, intelligent control, information and communication technology, robots, and edge computing, which realizes real-time monitoring and precise control of the compaction process. At the same time, this book also innovatively proposes an autonomous decision-making model, which significantly improves the efficiency and quality of compaction operations through a closed-loop control system formed by perception-decision-control.

This book is rich in content and clear in structure. It is suitable as a reference both for practitioners and graduate students engaged in infrastructure construction, quality inspection and intelligent control technology, civil and transportation engineering. Readers gain comprehensive knowledge and latest industrial trend on compaction quality inspection and intelligent control technology.