Mingduan Zhou, Beijing China Architecture, Qian-lin Wang, Hong-jie Tan, Miao Wang
{"title":"基于GNSS传感器的建筑塔机群防碰撞智能监控研究","authors":"Mingduan Zhou, Beijing China Architecture, Qian-lin Wang, Hong-jie Tan, Miao Wang","doi":"10.17706/ijcce.2019.8.4.169-177","DOIUrl":null,"url":null,"abstract":"A novel anti-collision monitoring method is proposed based on GNSS single-epoch positioning technology via high-precision carrier phase observations, which is applied to intelligent anti-collision monitoring for construction tower crane group. GNSS-based anti-collision monitoring principles are given in detail. A set of GNSS-based anti-collision monitoring auxiliary system named as GNSS_ACS for construction tower crane group is designed and developed. It can realize three kinds of alarm monitoring function consist of C-level, B-level and A-level respectively. The monitoring accuracy in the GNSS_ACS system ,for 600 consecutive epochs of the rover station such as rover_1727, the min-error of N-RMS is 0.007m, the max-error of N-RMS is 0.012m and the avg-error of N-RMS is 0.010m; the minerror of E-RMS is 0.005m, the max-error of E-RMS is 0.008m and the avg-error of E-RMS is 0.011m; the min-error of U-RMS is 0.015m, the max-error of U-RMS is 0.029m and the avg-error of U-RMS is 0.022m, is obtained in cm-level which verifies the effectiveness and feasibility of the proposed solutions in the experimental results. It can provide a new solution for intelligent anti-collision monitoring of construction tower crane group.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Intelligent Anti-collision Monitoring for Construction Tower Crane Group Based on GNSS Sensors\",\"authors\":\"Mingduan Zhou, Beijing China Architecture, Qian-lin Wang, Hong-jie Tan, Miao Wang\",\"doi\":\"10.17706/ijcce.2019.8.4.169-177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel anti-collision monitoring method is proposed based on GNSS single-epoch positioning technology via high-precision carrier phase observations, which is applied to intelligent anti-collision monitoring for construction tower crane group. GNSS-based anti-collision monitoring principles are given in detail. A set of GNSS-based anti-collision monitoring auxiliary system named as GNSS_ACS for construction tower crane group is designed and developed. It can realize three kinds of alarm monitoring function consist of C-level, B-level and A-level respectively. The monitoring accuracy in the GNSS_ACS system ,for 600 consecutive epochs of the rover station such as rover_1727, the min-error of N-RMS is 0.007m, the max-error of N-RMS is 0.012m and the avg-error of N-RMS is 0.010m; the minerror of E-RMS is 0.005m, the max-error of E-RMS is 0.008m and the avg-error of E-RMS is 0.011m; the min-error of U-RMS is 0.015m, the max-error of U-RMS is 0.029m and the avg-error of U-RMS is 0.022m, is obtained in cm-level which verifies the effectiveness and feasibility of the proposed solutions in the experimental results. It can provide a new solution for intelligent anti-collision monitoring of construction tower crane group.\",\"PeriodicalId\":23787,\"journal\":{\"name\":\"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17706/ijcce.2019.8.4.169-177\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17706/ijcce.2019.8.4.169-177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Intelligent Anti-collision Monitoring for Construction Tower Crane Group Based on GNSS Sensors
A novel anti-collision monitoring method is proposed based on GNSS single-epoch positioning technology via high-precision carrier phase observations, which is applied to intelligent anti-collision monitoring for construction tower crane group. GNSS-based anti-collision monitoring principles are given in detail. A set of GNSS-based anti-collision monitoring auxiliary system named as GNSS_ACS for construction tower crane group is designed and developed. It can realize three kinds of alarm monitoring function consist of C-level, B-level and A-level respectively. The monitoring accuracy in the GNSS_ACS system ,for 600 consecutive epochs of the rover station such as rover_1727, the min-error of N-RMS is 0.007m, the max-error of N-RMS is 0.012m and the avg-error of N-RMS is 0.010m; the minerror of E-RMS is 0.005m, the max-error of E-RMS is 0.008m and the avg-error of E-RMS is 0.011m; the min-error of U-RMS is 0.015m, the max-error of U-RMS is 0.029m and the avg-error of U-RMS is 0.022m, is obtained in cm-level which verifies the effectiveness and feasibility of the proposed solutions in the experimental results. It can provide a new solution for intelligent anti-collision monitoring of construction tower crane group.