遇见数据集

基于智慧安保服务平台的安全隐患监测预警数据

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浙江省数据知识产权登记平台2025-04-03 更新2025-04-04 收录
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本数据集的应用场景广泛,包括但不限于:(1)安保服务优化:通过对客户单位的安全隐患进行计算和监测预警,公司能够实时评估和管理客户的安全风险,从而优化安保服务措施,确保服务提供的连续性和可靠性。(2)安保水平评估:本数据集能为客户单位衡量自身安保水平或安全风险提供客观参考。(3)保险决策支持:对保险公司而言,本数据集可作为评估相关单位风险水平的重要依据,从而更准确地设计保险产品和保费。(4)助力政府监管:安全管理部门可根据本数据集了解相关重点单位(尤其是公共单位)的安全水平,从而有针对性地采取预防措施,减少事故发生,保护公共安全。1.数据收集:从公司建设运营的智慧安保服务平台中采集数据,包括:日期、单位编号、应在岗人数A1、实际在岗人数A2、近30日离职人数A3(含今日)、持有有效资质证书人数A4、总考勤次数B1、异常考勤次数B2、应参训人数C1、实际参训人数C2、培训考核合格人数C3、计划巡更次数D1、实际巡更次数D2、按时巡更次数D3、发现异常的巡更次数D4、总设备数E1、故障设备数E2、设备及时维修数E3、应急事件次数F1、应急事件总响应时间F2、应急事件响应时间范围上限要求F3。 2.指标计算:在岗率X1=A2/A1;人员稳定率X2=(A1-A3)/A1;人员资质合格率X3=A4/A1;考勤合规率X4=(B1-B2)/B1;培训覆盖率X5=C2/C1;培训合格率X6=C3/C2;巡更完成率X7=D2/D1;巡更及时率X8=D3/D2;巡更结果正常率X9=(D2-D4)/D2;设备完好率X10=(E1-E2)/E1;设备维修及时率X11=E3/E2;应急事件响应率X12=1-(F2/F1)/F3。 3.安全隐患指数Z计算和监测预警:Z=(X1+…+X12)/12;若Z<0.8,则发出预警。

This dataset has broad application scenarios, including but not limited to: 1. Security service optimization: By calculating and monitoring safety hazards of client units, the company can evaluate and manage clients' safety risks in real time, thereby optimizing security service measures and ensuring the continuity and reliability of service delivery. 2. Security level assessment: This dataset can provide an objective reference for client units to measure their own security level or safety risks. 3. Insurance decision support: For insurance companies, this dataset can serve as an important basis for evaluating the risk level of relevant units, so as to design insurance products and premium rates more accurately. 4. Assisting government supervision: Safety management departments can use this dataset to understand the safety levels of relevant key units (especially public institutions), thereby taking targeted preventive measures to reduce accidents and protect public safety. 1. Data collection: Data is collected from the smart security service platform built and operated by the company, including: date, unit number, number of personnel required to be on duty A1, actual number of personnel on duty A2, number of departures in the past 30 days (including today) A3, number of personnel holding valid qualification certificates A4, total number of attendance records B1, number of abnormal attendance records B2, number of personnel required to participate in training C1, actual number of training participants C2, number of personnel who passed training assessment C3, planned number of patrol rounds D1, actual number of patrol rounds D2, number of patrol rounds completed on time D3, number of patrol rounds that detected abnormalities D4, total number of equipment E1, number of faulty equipment E2, number of equipment repaired in a timely manner E3, number of emergency incidents F1, total response time of emergency incidents F2, upper limit requirement for emergency incident response time range F3. 2. Indicator calculation: - On-duty rate X1 = A2 / A1 - Personnel stability rate X2 = (A1 - A3) / A1 - Personnel qualification compliance rate X3 = A4 / A1 - Attendance compliance rate X4 = (B1 - B2) / B1 - Training coverage rate X5 = C2 / C1 - Training pass rate X6 = C3 / C2 - Patrol completion rate X7 = D2 / D1 - Patrol timeliness rate X8 = D3 / D2 - Normal patrol result rate X9 = (D2 - D4) / D2 - Equipment integrity rate X10 = (E1 - E2) / E1 - Timely equipment maintenance rate X11 = E3 / E2 - Emergency incident response rate X12 = 1 - (F2 / F1) / F3 3. Safety hazard index Z calculation and monitoring early warning: Z = (X1 + … + X12) / 12; An early warning will be issued if Z < 0.8.

创建时间:
2025-02-05
搜集汇总
数据集介绍
基于智慧安保服务平台的安全隐患监测预警数据 数据集图片
背景与挑战
背景概述
该数据集为基于智慧安保服务平台的安全隐患监测预警数据,包含598条记录,每日更新,涵盖安保服务多个维度的数据,用于计算安全隐患指数并实现监测预警。应用场景广泛,包括安保服务优化、安保水平评估、保险决策支持和政府监管。
以上内容由遇见数据集搜集并总结生成
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