宁波宁海县智慧工地系统实名制预警管理数据
收藏浙江省数据知识产权登记平台2023-12-02 更新2024-05-08 收录
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建筑工地在工人进场时,需要先录入到实名制信息。系统会打通公安、卫健委进行人员风险核对,系统会为企业提供用工过程中所遇到的风险及预计,比如健康情况、治安风险情况、工人年龄情况等(1)数据采集:采集宁波宁海县范围内实名制信息线上通过系统录入的方式采集数据到数据库作为原始数据源。 (2)数据处理:首先对采集的工地确认数据进行清洗,包括工地总人数为0的或者为null的。然后对数据在项目维度按工地,区域维度按区域,进行最细级别粒度的聚合。计算得到各工地的总人量为x,实名制人数为所有已实名制人数,未实名制人数为所有未实名制人数,实名制人数占比(%)为实名制人数/x,未实名制人数占比(%)为未实名制人数/x;健康风险人数(黄码、红码)为所有黄码红码工人,健康风险占比为健康风险人数(黄码、红码)/x;治安风险人数为所有治安风险人数,治安风险人数占比(%)为治安风险人数/x;18<年龄<30数量为所有18<年龄<30的工人,18<年龄<30占比(%)为18<年龄<30数量/x;30<年龄<50数量为所有30<年龄<50的工人,30<年龄<50占比(%)为30<年龄<50数量/x;50<年龄<60数量为所有50<年龄<60的工人,50<年龄<60占比(%)为50<年龄<60数量/x;年龄>=60数量为所有年龄>=60的工人,年龄>=60占比(%)为年龄>=60数量/x;
When workers enter a construction site, their real-name registration information must be collected first. The system will connect with public security agencies and health commissions to conduct personnel risk verification, and provide enterprises with risks and anticipations encountered during the employment process, such as health status, public security risks, and worker age conditions, etc.
(1) Data Collection: Collect real-name registration information entered online through the system within the scope of Ninghai County, Ningbo, and store the collected data in the database as the original data source.
(2) Data Processing: First, clean the collected construction site confirmation data, including removing records where the total number of workers at the site is 0 or null. Then, perform aggregation at the finest granularity level, grouped by construction site for the project dimension and by region for the regional dimension. Calculate the following metrics:
- Total number of workers at each site: x
- Number of real-name registered workers: total count of workers who have completed real-name registration
- Number of unregistered workers: total count of workers who have not completed real-name registration
- Proportion of real-name registered workers (%): (number of real-name registered workers / x) × 100%
- Proportion of unregistered workers (%): (number of unregistered workers / x) × 100%
- Number of workers with health risks (yellow code, red code): total count of workers with yellow or red health codes
- Proportion of health risk workers (%): (number of health risk workers / x) × 100%
- Number of workers with public security risks: total count of workers with public security risks
- Proportion of public security risk workers (%): (number of public security risk workers / x) × 100%
- Number of workers aged 18 < age < 30: total count of workers in this age group
- Proportion of workers aged 18 < age < 30 (%): (number of such workers / x) × 100%
- Number of workers aged 30 < age < 50: total count of workers in this age group
- Proportion of workers aged 30 < age < 50 (%): (number of such workers / x) × 100%
- Number of workers aged 50 < age < 60: total count of workers in this age group
- Proportion of workers aged 50 < age < 60 (%): (number of such workers / x) × 100%
- Number of workers aged ≥60: total count of workers in this age group
- Proportion of workers aged ≥60 (%): (number of such workers / x) × 100%
提供机构:
浙江亿联融资担保有限公司
创建时间:
2023-11-15
搜集汇总
数据集介绍

特点
该数据集记录了宁波宁海县智慧工地系统的实名制预警管理数据,包含工地基本信息、工人实名制情况、健康风险、治安风险及年龄分布等关键信息,每月更新60条数据,主要用于建筑工地的用工风险预警和管理。
以上内容由遇见数据集搜集并总结生成



