该数据集来源于野外黄土坡体深部在自然环境作用下的地下位移的三维测量数据。系统基于自主研制的多传感单元纵向串叠阵列，能够实时采集多传感单元的双互感电压、东北天坐标系下的三轴欧拉角，并通过本地双互感电压面中解析算法获取深部土体的三维位移信息。所有监测数据通过4G无线方式实时回传至云平台，并由本地服务器实现双边数据库的同步管理。基于数字孪生技术，系统对多级传感单元阵列进行重建，形成实体传感阵列到数字孪生体的连续位移映射数据流。
\n可以通过该数据集重建传感器的空间位置姿态，并为人机界面提供数据支持，实现传感器的三维状态数字孪生，助力用户对滑坡风险开展直观且有效的评估。", "ds_source": "
多传感单元的双互感电压、东北天坐标系下的三轴欧拉角数据集由中国计量大学自主研发的地下变形（位移）三维测量仪器系统传感器提供。其中双互感电压数据来源于传感器系统的双互感线圈，三轴欧拉角数据基于东北天坐标系下的高精度九轴姿态测量传感器（JY901S）采集，该数据集的双互感电压分辨率为12位，输出范围位0-3.3v，三轴欧拉角的输出范围位角度X、Z轴±180°、Y轴±90°。数据集采集时间范围为2025年11月8日至2025年12月8日。
", "ds_process_way": "（1）依据ID号解析传感器中每个传感单元的双互感电压和三周欧拉角（2）利用分段三次hermit插值和标定的双互感电压面重建对应姿态角下的大小电压平面；（3）利用残差方法解算除各级传感单元的水平位移和竖直位移。（4）利用各级传感单元姿态和相对位移重建传感器的整体空间位姿，并通过可视化平台实现传感器实体到传感器数字孪生体的相互映射。
", "ds_quality": "采用多级CRC校验，验证各级传感单元数据到主控板的可靠性，同时利用留一法验证了依据双互感电压面和姿态重建大小电压面的插值可靠性；另一方面，提前通过岩土灾变实验平台模拟地下位移三维测量传感器的实体和数字孪生体相互映射的可靠性。验证结果表明，多级CRC校验后的传感器数据传输可靠性到达99%，留一法验证的重建大小电压面的最大RMSE不超过0.0324；实验平台的传感器实体和数字孪生体相互映射模拟结果吻合度较高。因此，本数据集可以作为评价岩土体深部位移情况的可靠指标
", "ds_acq_start_time": "2025-01-01 00:00:00", "ds_acq_end_time": null, "ds_acq_place": "陕西省延安市富县刘家庄村新科庄组", "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": "apply-access", "ds_total_size": 128069376, "ds_files_count": 0, "ds_format": "*.sql", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "5e9f9b15-d05c-4dd9-a945-825f070f69fb.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "可以通过该数据集重建传感器的空间位置姿态，并为人机界面提供数据支持，实现传感器的三维状态数字孪生，助力用户对滑坡风险开展直观且有效的评估", "ds_from_station": "", "organization_id": "bf138922-7121-438c-8d1b-19d5f751c907", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 0, "publish_time": "2026-05-25 17:28:47", "last_updated": "2026-05-25 17:28:47", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.loess.db7394.2026", "i18n": { "en": { "title": "\"Dual mutual inductance voltage of multiple sensing units, three-axis Euler angles in the Northeast Celestial Coordinate System\" dataset", "ds_format": "*.sql", "ds_source": "The dual-induction voltage from multiple sensor units and the three-axis Euler angle dataset in the East-North-Up coordinate system are provided by the underground deformation (displacement) 3D measurement instrument system sensors independently developed by China Jiliang University. The dual-induction voltage data comes from dual-induction coils mounted on the sensor system, while the three-axis Euler angle data is collected by a high-precision nine-axis attitude measurement sensor (JY901S) in the East-North-Up coordinate system. The dataset has a dual-induction voltage resolution of 12 bits, with an output range of 0-3.3V, and the three-axis Euler angles have output ranges of ±180° for the X and Z axes and ±90° for the Y axis. The dataset collection period is from November 8, 2025, to December 8, 2025.", "ds_quality": "
A multi-level CRC check is used to verify the reliability of data from each sensor unit to the main control board, while the leave-one-out method is employed to validate the interpolation reliability based on the dual mutual inductance voltage plane and the reconstructed size-voltage plane; on the other hand, the reliability of the mapping between the physical and digital twin of the underground displacement 3D measurement sensor is simulated in advance through a geotechnical disaster experiment platform. The validation results show that the reliability of sensor data transmission after multi-level CRC checks reaches 99%, the maximum RMSE of the reconstructed size-voltage plane verified by the leave-one-out method does not exceed 0.0324, and the mapping simulation results between the sensor physical model and digital twin on the experimental platform are highly consistent. Therefore, this dataset can serve as a reliable indicator for evaluating deep displacement in geotechnical bodies.", "ds_ref_way": "", "ds_abstract": "
This dataset is derived from three-dimensional measurement data of underground displacement of deep loess slopes under natural environmental conditions in the field. The system is based on a self-developed longitudinal cascaded array of multiple sensing units, which can real-time collect the double mutual inductance voltage of multiple sensing units, the three-axis Euler angle in the northeast sky coordinate system, and obtain the three-dimensional displacement information of deep soil through the local double mutual inductance voltage surface analysis algorithm. All monitoring data is transmitted back to the cloud platform in real-time through 4G wireless communication, and synchronized management of bilateral databases is achieved by local servers. Based on digital twin technology, the system reconstructs multi-level sensing unit arrays to form a continuous displacement mapping data stream from the physical sensing array to the digital twin.\r\n
This dataset can be used to reconstruct the spatial position and orientation of sensors, provide data support for human-computer interfaces, achieve a three-dimensional digital twin of the sensors, and help users conduct intuitive and effective assessments of landslide risks.", "ds_time_res": "", "ds_acq_place": "Xinkezhuang Group, Liujiazhuang Village, Fuxian County, Yan'an City, Shaanxi Province", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
(1) Parse the dual mutual induction voltage and triple-loop Euler angles of each sensing unit in the sensor based on the ID number; (2) Reconstruct the voltage planes corresponding to the attitude angles using piecewise cubic Hermite interpolation and the calibrated dual mutual induction voltage surfaces; (3) Solve for the horizontal and vertical displacements of each level of sensing units using the residual method; (4) Reconstruct the overall spatial pose of the sensor using the attitude and relative displacement of each level of sensing units, and achieve the mutual mapping between the physical sensor and the sensor's digital twin through a visualization platform.", "ds_ref_instruction": "This dataset can be used to reconstruct the spatial position and orientation of sensors, provide data support for human-computer interfaces, achieve a three-dimensional digital twin of the sensors, and help users conduct intuitive and effective assessments of landslide risks." } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 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": [ "双互感等值电压", "姿态传感器", "东北天坐标系", "数字孪生" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "黄土高原" ], "ds_time_tags": [ 2025 ], "ds_contributors": [ { "true_name": "李青", "email": "lq13306532957@163.com", "work_for": "中国计量大学", "country": "中国" }, { "true_name": "郭子涵", "email": "guozh18357581392@163.com", "work_for": "中国计量大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "李青", "email": "lq13306532957@163.com", "work_for": "中国计量大学", "country": "中国" }, { "true_name": "郭子涵", "email": "guozh18357581392@163.com", "work_for": "中国计量大学", "country": "中国" } ], "ds_managers": [ { "true_name": "李青", "email": "lq13306532957@163.com", "work_for": "中国计量大学", "country": "中国" } ], "category": "其他" }