遇见数据集

Machine Status Monitoring results for Battery Testing

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Zenodo2025-07-26 更新2026-05-26 收录
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This dataset includes the results from data analytics functionalities related to battery testing procedures. These results can subsequently be processed to a voice assistant in order to support the operator in such time-consuming and costly procedures. More specifically, these results have been generated by two main data analytics functionalities: (i) the "alarm and emergency notification" functionality that is designed to alert users about critical incidents, including alarms triggered during tests and emergencies related to devices, such as fires, gas leaks, sensor faults and more; and, (ii) the "machine status request" functionality that allows the users to query about the condition of a specific machine or receive an overview of the laboratory's operational status. Below, we present indicative analyses that generate the Machine Status Monitoring results. Analysis Explanation Group By It groups and counts the recorded entries from the Chamber dataset based on their status (defconlevel) per day. Duration Of Alarm The duration of the flagged alarms are calculated. For each chamber, the start and end timestamps are recorded for each status, and the durations are calculated in two formats: i) as a timestamp (HH:MM:SS) and ii) in seconds. Defconlevel Duration The duration of all the chamber statuses are calculated. For each chamber, the start and end timestamps are recorded for each status, and the durations are calculated in two formats: i) as a timestamp (HH:MM:SS) and ii) in seconds. Defconlevel Percentages The percentages of all the chamber statuses are calculated inside a certain time frame, in our case a day. For each chamber, the start and end timestamps are recorded for each status, and the percentages are calculated in two formats: i) as a timestamp (HH:MM:SS) and ii) in seconds.

本数据集涵盖与电池测试流程相关的数据分析功能产出结果。后续可将这些结果接入语音助手,以协助操作人员完成这类耗时且成本高昂的测试流程。具体而言,这些结果由两类核心数据分析功能生成:(i) "警报与应急通知"功能("alarm and emergency notification"),该功能旨在向用户预警各类紧急事件,包括测试过程中触发的警报以及与设备相关的紧急状况(如火灾、气体泄漏、传感器故障等);(ii) "机器状态查询"功能("machine status request"),用户可通过该功能查询特定设备的运行状态,或获取实验室整体运营状况概览。下文将展示生成机器状态监测结果的示范性分析内容。 ### 分析(Analysis) #### 说明(Explanation) #### 分组统计(Group By) 该模块基于每日各舱室的状态等级(defconlevel),对舱室数据集(Chamber dataset)中的记录条目进行分组并计数。 #### 警报持续时长(Duration Of Alarm) 计算已标记警报的持续时长。针对每个舱室,将记录其每种状态的起始与结束时间戳,并以两种格式计算持续时长:i) 时间戳格式(HH:MM:SS);ii) 秒数格式。 #### 状态等级持续时长(Defconlevel Duration) 计算所有舱室状态等级的持续时长。针对每个舱室,将记录其每种状态的起始与结束时间戳,并以两种格式计算持续时长:i) 时间戳格式(HH:MM:SS);ii) 秒数格式。 #### 状态等级占比(Defconlevel Percentages) 计算特定时间区间(本场景中为单日)内各舱室状态等级的占比。针对每个舱室,将记录其每种状态的起始与结束时间戳,并以两种格式计算占比:i) 时间戳格式(HH:MM:SS);ii) 秒数格式。

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Zenodo
创建时间:
2025-07-26
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