三亚市电梯维保单位超期维保预警评价数据

采集和统计三亚市不同电梯维保单位超期维保相关数据，分析三亚市各维保单位工作质量。帮助各维保单位优化安全管理作业人员配置；当地监管部门根据各维保单位的超期维保相关数据的分析，对评价结果为“示警”的维保单位进行约谈、加强监管，提高日常维护频率和内容，减少电梯安全隐患。为相关环节负责人考虑合作方案提供数据支持。1、数据采集：通过电梯物联网设备和接警平台，采集三亚市不同电梯维保单位出现超期维保情形的相关数据. 2、数据处理：对采集到的原始数据进行清洗、分析、整理等方式，获取所需要的数据：维保单位，统计时间，地区，维保类型，超期维保数量，涉及小区数量.3.数据计算：单位超期维保电梯数量占比＝单位全年超期维保电梯总数/XX市全年超期维保电梯总数，单位超期维保涉及小区占比＝单位全年超期维保涉及小区数/XX市全年超期维保涉及小区数量.示例数据展示一个维保单位相关情形，数据包内包含多个维保单位数据，以（单位名称）的形式体现在数据字段中.4.预警评价：采取IF函数，对算法结果进行分级评价.就超期维保电梯数量占比而言，IF【0≤占比≤0.1】，评价A记为﹢，IF【占比＞0.1】，评价A记为-.就涉及小区数量占比而言，IF【0≤占比≤0.1】，评价B记为﹢，IF【占比＞0.1】，评价B记为-。当评价A和评价B同时为﹢时，单位整体评价为合格，其它情形皆评价为“示警”，对评价结果为“示警”的维保单位进行约谈、加强监管，提高日常维护频率和内容，减少电梯安全隐患。

This dataset is designed to collect and statistically analyze overdue maintenance data of different elevator maintenance units in Sanya City, so as to evaluate the work quality of each maintenance unit. It helps maintenance units optimize the allocation of safety management operators; meanwhile, local regulatory authorities can conduct interviews with maintenance units rated as "Warning" based on the analysis results, strengthen supervision, increase daily maintenance frequency and contents, thereby reducing elevator safety hazards and providing data support for relevant personnel in charge of related links to formulate cooperation plans.
1. Data Collection: Collect data related to overdue maintenance situations of various elevator maintenance units in Sanya City via elevator Internet of Things (IoT) devices and alarm receiving platforms.
2. Data Processing: Clean, analyze and organize the collected raw data to obtain required data fields: maintenance unit, statistical time, region, maintenance type, number of overdue maintenance elevators, and number of involved residential communities.
3. Data Calculation:
- Proportion of overdue maintenance elevators of a single unit = Total annual overdue maintenance elevators of the unit / Total annual overdue maintenance elevators of Sanya City
- Proportion of involved residential communities of a single unit = Total annual involved residential communities of the unit / Total annual involved residential communities of Sanya City
Sample data demonstrates the relevant scenario of one maintenance unit. The dataset contains multiple records of maintenance units, with the unit name stored in the data field in the form of (unit name).
4. Early Warning Evaluation: Use the IF function to perform graded evaluation on algorithm results:
- For the proportion of overdue maintenance elevators: IF 0 ≤ proportion ≤ 0.1, rating A is marked as "+", IF proportion > 0.1, rating A is marked as "-".
- For the proportion of involved residential communities: IF 0 ≤ proportion ≤ 0.1, rating B is marked as "+", IF proportion > 0.1, rating B is marked as "-".
- The overall evaluation of a unit is "Qualified" only when both rating A and rating B are "+", otherwise the overall evaluation is "Warning". For maintenance units rated as "Warning", conduct interviews and strengthen supervision, increase daily maintenance frequency and contents to reduce elevator safety hazards.

搜集汇总

背景与挑战

背景概述

该数据集包含三亚市电梯维保单位的超期维保记录，共601条数据每月更新，通过量化指标（如超期数量占比）对维保单位进行分级评价，旨在辅助监管部门加强安全管理和减少电梯安全隐患。