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Engineering safety supervision system and method based on artificial intelligence
The invention relates to the technical field of engineering safety supervision, and discloses an artificial intelligence-based engineering safety supervision system and method, and the method comprises the steps: obtaining and numbering a supporting structure in a foundation pit; each supporting structure comprises two stand columns and two cross braces which are marked as a first stand column, a second stand column, a first cross brace and a second cross brace respectively; marking an image acquisition point, and obtaining a support image acquisition position; collecting a detection image, executing distance detection, and reselecting structure detection if the detection image is marked; if not, contact detection is executed, and whether marking is conducted or not is judged; if not, acquiring a contact point, and executing a distance comparison strategy; if not, executing attachment detection; repairing and detecting the marked supporting structures until all the supporting structures are effective; according to the method, each part of the supporting structure is ensured to meet the safety standard through various detection strategies; by means of distance detection, contact detection and the like, the stand column is attached to the foundation pit wall, the cross brace is tightly connected with the stand column, and stability is guaranteed.
本发明涉及工程安全监管技术领域,且公开了一种基于人工智能的工程安全监管系统及方法,包括:获取基坑内支护结构并编号;每个支护结构包含两根立柱和两根横撑,分别标记为第一立柱、第二立柱和第一横撑、第二横撑;标记图像采集点,获取支护图像采集位;采集检测图像,执行距离检测,若标记则重选结构检测;未标记则执行接触检测,判断是否标记;未标记则获取接触点,执行距离比较策略;未标记则执行附着物检测;对被标记的支护结构进行修复检测,直至所有支护结构均有效;该方法通过多种检测策略,确保支护结构各部分符合安全标准;综合距离检测、接触检测等手段,确保立柱与基坑壁贴合,横撑紧密连接立柱,保障稳固性。
Engineering safety supervision system and method based on artificial intelligence
The invention relates to the technical field of engineering safety supervision, and discloses an artificial intelligence-based engineering safety supervision system and method, and the method comprises the steps: obtaining and numbering a supporting structure in a foundation pit; each supporting structure comprises two stand columns and two cross braces which are marked as a first stand column, a second stand column, a first cross brace and a second cross brace respectively; marking an image acquisition point, and obtaining a support image acquisition position; collecting a detection image, executing distance detection, and reselecting structure detection if the detection image is marked; if not, contact detection is executed, and whether marking is conducted or not is judged; if not, acquiring a contact point, and executing a distance comparison strategy; if not, executing attachment detection; repairing and detecting the marked supporting structures until all the supporting structures are effective; according to the method, each part of the supporting structure is ensured to meet the safety standard through various detection strategies; by means of distance detection, contact detection and the like, the stand column is attached to the foundation pit wall, the cross brace is tightly connected with the stand column, and stability is guaranteed.
本发明涉及工程安全监管技术领域,且公开了一种基于人工智能的工程安全监管系统及方法,包括:获取基坑内支护结构并编号;每个支护结构包含两根立柱和两根横撑,分别标记为第一立柱、第二立柱和第一横撑、第二横撑;标记图像采集点,获取支护图像采集位;采集检测图像,执行距离检测,若标记则重选结构检测;未标记则执行接触检测,判断是否标记;未标记则获取接触点,执行距离比较策略;未标记则执行附着物检测;对被标记的支护结构进行修复检测,直至所有支护结构均有效;该方法通过多种检测策略,确保支护结构各部分符合安全标准;综合距离检测、接触检测等手段,确保立柱与基坑壁贴合,横撑紧密连接立柱,保障稳固性。
Engineering safety supervision system and method based on artificial intelligence
一种基于人工智能的工程安全监管系统及方法
XIE GAOSHANG (author) / QIN BILONG (author) / LU WEIJIE (author) / LAN ZHENDONG (author) / QIN DONG (author)
2024-11-15
Patent
Electronic Resource
Chinese
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