To promote the development of structural health monitoring around the world, the 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020) was initiated and organized in 2020 by the Asia-Pacific Network of Centers for Research in Smart Structures Technology, Harbin Institute of Technology, the University of Illinois at Urbana-Champaign, and four leading companies in the application of structural health monitoring technology. The goal of this competition was to attract more young scholars to engage in the study of structural health monitoring, encouraging them to provide creative and effective solutions for full-scale applications. Recognizing the recent advent and importance of artificial intelligence in structural health monitoring, three competition projects were set up with the data from full-scale bridges: (1) image-based identification of fatigue cracks in bridge girders, (2) data anomaly detection for structural health monitoring, and (3) condition assessment of stay cables using cable tension data. Three corresponding data sets were released at http://www.schm.org.cn and http://sstl.cee.illinois.edu/ipc-shm2020. Participants were required to be full-time undergraduate students, M.S. students, Ph.D. students, or young scholars within 3 years after obtaining their Ph.D. Both individual and teams (each team had no more than five individuals) could compete. Submissions for the competition included a 10- to 15-page technical paper, a 10-min presentation video with PowerPoint slides, and commented code. The organizing committee then conducted the validation, review, and evaluation. A total of 330 participants in 112 teams from 70 universities and institutions in 12 countries registered for the competition, resulting in 75 papers from 56 teams from 57 different affiliations finally being submitted. Of those submitted, 31, 30, and 14 papers were for Projects 1, 2, and 3, respectively. After completion of the review by the organization committee and awards committee, the top 10, 10, and 5 teams were selected as the prize winners for the three competition projects.

为了促进全球结构健康监测的发展，由哈尔滨亚太智能结构技术研究中心网络于2020年发起并组织了第一届国际结构健康监测项目竞赛（IPC-SHM，2020）。伊利诺伊大学香槟分校的技术研究所和四家在结构健康监测技术应用方面的领先公司。这项竞赛的目的是吸引更多的年轻学者参与结构健康监测的研究，鼓励他们为全面应用提供创造性和有效的解决方案。认识到人工智能在结构健康监测中的最新出现和重要性，利用来自全尺寸桥梁的数据建立了三个竞赛项目：（1）基于图像的桥梁大梁疲劳裂纹识别；（2）数据异常检测，以进行结构健康监测；（3）使用电缆张力数据对斜拉索进行状态评估。在http://www.schm.org.cn和http://sstl.cee.illinois.edu/ipc-shm2020上发布了三个相应的数据集。参与者必须是全日制本科生，MS学生，博士学位。博士学位后3年内的学生或年轻学者 个人和团队（每个团队最多只能有五个人）都可以参加比赛。参赛作品包括10到15页的技术论文，带PowerPoint幻灯片的10分钟演示视频以及注释代码。然后，组委会进行了确认，审查和评估。来自12个国家/地区的70个大学和机构的112个团队的330名参与者报名参加了比赛，最终提交了来自57个不同分支机构的56个团队的75篇论文。在提交的论文中，有31、30和14篇论文分别针对项目1、2和3。组织委员会和奖项委员会完成评审后，评选出前10名，10名和5名团队作为三个竞赛项目的获奖者。