本数据集仅涉及绥满高速兴安岭隧道温度场监测数据。主要包括监测断面的围岩温度变化数据。数据集的时间范围为：从2020年9月至2020年12月。监测过程中采用Pt100A型的温度传感器及哈工大自制配套设备（测温杆和测温机箱），对于进口的Pt100A型温度传感器芯片，其精度高达0.02 ℃。另外，每个监测断面需要安装无线网桥，数据通过无线网桥传输至隧道洞口设置的4G路由，通过4G信号实现无线传输。无线网桥是连接无线网络的桥梁，通过无线桥接的方式将两个距离较远的网络连接起来，近几年常用来代替光纤、网线，甚至用于几公里、几十公里的网络数据传输。无线网桥的工作原理是通过指定频段的微波发送与接收进行无线桥接，因为微波传输是直线传播的，因此使用无线网桥时一定要确保传输路径中没有阻挡物，其常见的工作频段有2.4GHz和5.8GHz。", "ds_source": "
本数据集共产生近1000组数据，内容涉及到隧道围岩右侧衬砌监测的温度数据。在3种工况不同时间下隧道各测点温度随监测深度的变化曲线中，第1行为各工况的编号。第2行为各工况的监测时间。从第3行至最后一行即为各温度传感器测得的该处实时的温度数据。监测断面及监测点布置。第1列为每组温度数据的监测位置。第2列至第7列分别为工况1在第1、6、12、24、50以及90天时的温度监测数据。第8列至第13列分别为工况2在第1、6、12、24、50以及90天时的温度监测数据。第14列至第19列分别为工况3在第1、6、12、24、50以及90天时的温度监测数据。在3种工况下右边墙衬砌外侧温度随时间变化曲线中，第1行为监测温度。第2行为各工况的编号。从第3行至最后一行为各温度传感器不同时间测得的实时温度数据。第1列为各工况的监测时间。第2列至第4列分别为3中工况在不同时间下的温度监测数据。", "ds_process_way": "
观测监测。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2020-09-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "绥满高速兴安岭隧道围岩温度场", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 2259913, "ds_files_count": 3, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "a3352589-e25b-4281-b216-321a15c4dc07.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "57a5e5a3-6fc5-43b5-a2ba-1f2ca54b7727", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2023-03-31 22:57:48", "last_updated": "2025-06-30 14:52:34", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB2764.2023", "i18n": { "en": { "title": "Monitoring dataset of surrounding rock temperature field of Xing'anling Tunnel on Suiman Expressway (September 2020 December 2020)", "ds_format": "excel", "ds_source": "
This dataset generates nearly 1000 sets of data, which involve temperature data monitoring of the lining on the right side of the tunnel surrounding rock. In the temperature variation curves of each measuring point in the tunnel with monitoring depth under three different working conditions at different times, the first line represents the number of each working condition. The second line is the monitoring time for each working condition. The real-time temperature data measured by each temperature sensor is from the third to the last line. Layout of monitoring sections and monitoring points. The first column is the monitoring location for each set of temperature data. The second to seventh columns are the temperature monitoring data for operating condition 1 on days 1, 6, 12, 24, 50, and 90, respectively. The temperature monitoring data for working condition 2 on days 1, 6, 12, 24, 50, and 90 are shown in columns 8 to 13, respectively. The temperature monitoring data for working condition 3 on days 1, 6, 12, 24, 50, and 90 are shown in columns 14 to 19, respectively. In the temperature variation curve of the outer side of the right wall lining over time under three working conditions, the first line is the monitored temperature. The second line is the numbering of each operating condition. The real-time temperature data measured by each temperature sensor at different times from the third to the last row. The first column shows the monitoring time for each operating condition. The second to fourth columns are the temperature monitoring data of three operating conditions at different times.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
This dataset only involves temperature field monitoring data of Xing'anling Tunnel on Suiman Expressway. Mainly includes monitoring the temperature changes of the surrounding rock at the cross-section. The time range of the dataset is from September 2020 to December 2020. During the monitoring process, Pt100A temperature sensors and self-made supporting equipment from Harbin Institute of Technology (temperature measuring rod and temperature measuring chassis) were used. For the imported Pt100A temperature sensor chip, its accuracy can reach up to 0.02 ℃. In addition, each monitoring section needs to be equipped with a wireless bridge, and data is transmitted to the 4G router set at the tunnel entrance through the wireless bridge, achieving wireless transmission through 4G signals. Wireless bridge is a bridge that connects wireless networks, connecting two distant networks through wireless bridging. In recent years, it has been commonly used to replace fiber optic cables and network cables, and even for network data transmission of several kilometers or tens of kilometers. The working principle of a wireless bridge is to use microwave transmission and reception in a designated frequency band for wireless bridging. Since microwave transmission is linear, it is important to ensure that there are no obstacles in the transmission path when using a wireless bridge. The common operating frequency bands are 2.4GHz and 5.8GHz.
", "ds_time_res": "日", "ds_acq_place": "Surrounding rock temperature field of Xing'anling Tunnel on Sui Man Expressway", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Observation and monitoring.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "围岩温度变化", "监测断面", "监测深度" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "绥满高速兴安岭隧道" ], "ds_time_tags": [ 2020 ], "ds_contributors": [ { "true_name": "白瑞强", "email": "rqbai@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "白瑞强", "email": "rqbai@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "白瑞强", "email": "rqbai@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "其他" }