为解决建筑工程传统现场施工中面临的劳动力日益短缺等问题，我国政府出台了一系列政策扶持推行建筑工业化。装配式混凝土结构作为建筑工业化的重要构成部分，其质量关系到使用者的生命和财产安全等多方面利益。然而，目前装配式混凝土结构施工质量的验收人员存在着验收知识掌握不熟练的问题，而且验收计划的制定和信息的录入主要依靠人工完成，这些严重影响了其质量验收的效果和效率。近些年来BIM（Building Information Modeling）的快速发展为解决上述问题提供了可能性，因此有必要研制基于BIM的装配式混凝土结构施工质量验收管理系统，改善装配式混凝土结构施工质量验收管理现状。本研究基于BIM技术并结合语音识别等信息技术，从系统概念框架、关键技术、系统设计与实现和系统测试4个方面对基于BIM的装配式混凝土结构施工质量验收管理系统进行了研究。在系统概念框架方面，通过对装配式混凝土结构的施工质量验收现状及存在问题的分析总结，提出了本研究系统的功能需求、信息需求和技术需求，并建立了系统概念框架。关键技术方面，首先基于BIM建立了装配式混凝土结构施工质量验收的计划模型、过程模型和结果信息模型，其次梳理了基于BIM的装配式混凝土结构施工质量验收检验批的生成方法，然后建立了装配式混凝土结构构件类和钢筋连接接头类检查对象检验批和检查点自动生成算法，最后研究了BIM服务器平台和语音识别技术的集成方法。在上述研究的基础上，对系统进行了包括用户、功能模块、架构、界面和数据库等方面的详细设计，并对系统主要功能进行了开发实现。在系统测试方面，选取了实际装配式混凝土结构工程项目进行系统测试，对系统的有效性和应用效果进行了分析总结。本研究成果表明，基于BIM的装配式混凝土结构施工质量验收管理系统为装配式混凝土结构施工质量验收过程中存在的问题提供了有效的解决方案，大大改善了现场质量验收人员知识和经验不足的情况，并提高了其质量验收效率。
In order to solve the problem of increasing shortage of labor force in traditional on-site construction projects, the Chinese government has introduced a series of policies to support the implementation of construction industrialization. As an important part of building industrialization, the quality of prefabricated concrete structure is related to the life and property safety of users and other interests. However, the acceptance personnel of prefabricated concrete structure construction quality have the problem of unskilled acceptance knowledge at present, and the formulation of acceptance plan and the input of information mainly rely on manual completion, which seriously affects the effect and efficiency of quality acceptance. The rapid development of BIM (Building Information Modeling) in recent years has provided the possibility to solve the above problems. Therefore, it is necessary to develop a BIM-based construction quality acceptance management system for prefabricated concrete structures to improve the current status of construction quality acceptance management of prefabricated concrete structures.Based on BIM technology and combined with information technology such as Automatic Speech Recognition, this research studies the BIM-based construction quality acceptance management system of prefabricated concrete structures from four aspects: system conceptual framework, key technologies, system design and implementation, and system trial. In the aspect of system conceptual framework, the functional requirements, information requirements and technical requirements of this research system are put forward through the analysis and summary of the construction quality acceptance status and existing problems of prefabricated concrete structures, then the system conceptual framework is established. In terms of key technologies, firstly, the planning model, process model and result information model for the construction quality acceptance of prefabricated concrete structures are established based on BIM, then the generation method of construction quality acceptance inspection batches for prefabricated concrete structures is sorted out, and then the algorithm for automatic generation of inspection batches and checkpoints for inspection objects of prefabricated concrete structure components and splicing for reinforcing steel bars is established. Finally, the integration method of BIM server platform and Automatic Speech Recognition technology is studied. On the basis of the above research, the system is designed in detail including user, function module, architecture, interface and database, and the main functions of the system are developed and realized. In the aspect of system testing, actual prefabricated concrete structure engineering project was selected for system testing, and the effectiveness and application effect of the system were analyzed and summarized.The results of this research show that the BIM-based prefabricated concrete structure construction quality acceptance management system provides an effective solution for the problems existing in the prefabricated concrete structure construction quality acceptance process. It greatly makes up for the lack of knowledge and experience of on-site quality acceptance personnel and improves the quality acceptance efficiency.
