智能康复机器人行走电机保养周期预测数据
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在智能康复机器人（泛指具备基础康复辅助功能的类按摩设备）行走电机运维管理实践中，通过采集设备使用时长、质保周期等基础数据，经清洗、去重等预处理及剩余可用时长计算、保养周期动态推算等加工分析，形成行走电机保养周期预测数据。该数据有助于通过分部件管理实现精细化维护，为整体设备维护提供科学参考依据，促进运维策略的适应性调整，为保障设备功能稳定性、延长使用寿命提供数据支撑；同时，可为社会层面优化公共健康服务资源配置提供间接参考，有利于推动康复辅助设备运维经验的行业共享，助力同行探索更适配的设备管理模式。1、数据采集：通过iRest云APP用户端和后台管理系统采集智能康复机器人的用户使用情况数据，包括设备编号、采集时间X、第一次使用时间、使用时长T、最后一次维护日期d、行走电机使用时长上限K、行走电机质保时间H（数据均向上取整到最近的整数）。 2、数据预处理：对采集的数据进行清洗，去除重复记录，处理缺失值。 3、数据加工和分析： （1）计算剩余可用时长：行走电机剩余可用时长U=行走电机使用时长上限K-使用时长T。 （2）确定基础保养周期：判断部件是否在质保期内，若部件使用时长T≤行走电机质保时间H，即在质保期，则按厂家建议的质保期维护频率计算，基础保养周期C=H/N（N为行走电机质保期内建议保养次数,具体数值参考行业常规保养经验）；若部件使用时长T＞质保时间H，即不在质保期，则基础保养周期C=U/M（M为剩余周期内建议保养次数，具体数值参考行业常规保养经验）。 （3）推算下一次保养日期：①计算智能康复机器人已使用天数A，A=X-第一次使用时间，单位为天；②计算平均每日的使用时间t=T/A；③计算需运行天数=C/t；④计算下一次保养日期：D=d+需运行天数，若H≤0，则直接输出“部件需更换，无需保养”。
In the practice of operation and maintenance management for walking motors of intelligent rehabilitation robots (generally referring to massage-like equipment with basic rehabilitation assistance functions), basic data such as equipment operating duration and warranty period are collected. After preprocessing steps including cleaning and deduplication, as well as processing and analysis such as remaining usable duration calculation and dynamic derivation of maintenance cycles, walking motor maintenance cycle prediction data is formed. This data helps achieve refined maintenance through component-level management, provides scientific reference for overall equipment maintenance, promotes adaptive adjustment of operation and maintenance strategies, and supports the guarantee of equipment function stability and extension of service life. Meanwhile, it can also provide indirect reference for optimizing the allocation of public health service resources at the social level, facilitate industry-wide sharing of operation and maintenance experience for rehabilitation assistive equipment, and help peers explore more suitable equipment management models. 1. Data Collection Data on user usage of intelligent rehabilitation robots is collected via the iRest Cloud APP user terminal and backend management system, including equipment number, collection time X, first use time, operating duration T, last maintenance date d, upper limit of walking motor operating duration K, and walking motor warranty time H (all data are rounded up to the nearest integer). 2. Data Preprocessing Clean the collected data, remove duplicate records, and handle missing values. 3. Data Processing and Analysis (1) Calculate remaining usable duration: The remaining usable duration U of the walking motor = upper limit of walking motor operating duration K - operating duration T. (2) Determine basic maintenance cycle: Judge whether the component is within the warranty period. If the component operating duration T ≤ walking motor warranty time H (i.e., within the warranty period), calculate the basic maintenance cycle C = H/N based on the manufacturer's recommended maintenance frequency during the warranty period (N is the number of recommended maintenance times for the walking motor during the warranty period, referring to conventional industry maintenance experience); if T > H (i.e., beyond the warranty period), the basic maintenance cycle C = U/M (M is the number of recommended maintenance times during the remaining period, referring to conventional industry maintenance experience). (3) Deduce the next maintenance date: ① Calculate the number of days the intelligent rehabilitation robot has been in use A, where A = X - first use time, unit: day; ② Calculate the average daily operating time t = T/A; ③ Calculate the required operating days = C/t; ④ Calculate the next maintenance date D = d + required operating days. If H ≤ 0, directly output "Component needs replacement, no maintenance required".
