{
    "created": "2022-11-23 14:11:44",
    "updated": "2026-05-09 16:38:15",
    "id": "45fa2162-64ca-405f-8161-33877deafca9",
    "version": 4,
    "ds_topic": null,
    "title_cn": "基于长-短时记忆循环神经网络的困难地质条件下料浆压力平衡预测",
    "title_en": "Prediction of Slurry Pressure Balance under Difficult Geological Conditions Based on Long short Memory Cyclic Neural Network",
    "ds_abstract": "<p>&emsp;&emsp;该数据集包含不同输入和输出情况下的PLC数据情况。数据通过对不同部位的参数进行分析挖掘得到。该数据集包含一个excel文件。该表格型数据包含PLC的各项参数，如SPE,SPW,AR,TOR,RS,THR,FFR,RFR,FSD等，包含最大值、最小值、平均值和标准值等。",
    "ds_source": "<p>&emsp;&emsp;分析挖掘得到。",
    "ds_process_way": "<p>&emsp;&emsp;分析挖掘得到。",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好。",
    "ds_acq_start_time": "2020-10-01 00:00:00",
    "ds_acq_end_time": "2020-10-31 00:00:00",
    "ds_acq_place": "上海",
    "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": 17499,
    "ds_files_count": 3,
    "ds_format": "excel",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "45fa2162-64ca-405f-8161-33877deafca9.png",
    "ds_thumb_from": 0,
    "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": "2023-04-27 10:33:51",
    "last_updated": "2023-07-07 02:10:03",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.NIEER.DB2773.2023",
    "i18n": {
        "en": {
            "title": "Prediction of Slurry Pressure Balance under Difficult Geological Conditions Based on Long short Memory Cyclic Neural Network",
            "ds_format": "",
            "ds_source": "<pre><code>                                              &lt;pre&gt;&lt;code&gt;\n</code></pre>\n<p></code></pre></p>\n<p>&emsp;Analysis and mining.",
            "ds_quality": "<pre><code>                                                      &lt;pre&gt;&lt;code&gt;\n</code></pre>\n<p></code></pre></p>\n<p>&emsp; The data quality is good.",
            "ds_ref_way": "",
            "ds_abstract": "<pre><code> &lt;pre&gt;&lt;code&gt;\n</code></pre>\n<p>  This data set contains PLC data cases in different input and output cases. The data is obtained by analyzing and mining the parameters of different parts. The dataset contains an excel file. The tabular data includes various parameters of PLC, such as SPE, SPW, AR, TOR, RS, THR, FFR, RFR, FSD, etc., including maximum, minimum, average and standard values.</p>",
            "ds_time_res": "",
            "ds_acq_place": "Shanghai",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<pre><code>                                              &lt;pre&gt;&lt;code&gt;\n</code></pre>\n<p></code></pre></p>\n<p>&emsp; Analysis and mining.",
            "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": [
        "Pipe roof",
        "Numerical model",
        "Tunnel face pressure"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "上海"
    ],
    "ds_time_tags": [
        2020
    ],
    "ds_contributors": [
        {
            "true_name": "周彪",
            "email": "zhoubiao@tongji.edu.cn",
            "work_for": "同济大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "周彪",
            "email": "zhoubiao@tongji.edu.cn",
            "work_for": "同济大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "周彪",
            "email": "zhoubiao@tongji.edu.cn",
            "work_for": "同济大学",
            "country": "中国"
        }
    ],
    "category": "其他"
}