工业用户燃气安全系数评价数据

通过整合工业用户燃气泄露传感器的记录编号、记录时间、用户名称、燃气表名称、开户日期、累计开户天数、泄露传感器浓度、是否泄露报警、近10天泄露报警次数、近100天泄露报警次数、近300天泄露报警次数、开户累计报警次数、安全评分、安全评级等数据，得出工业用户燃气安全系数评价数据；燃气供应企业可以通过分析工业用户的燃气安全系数，提供定制化的安全检查和维护服务，帮助用户提高安全等级，减少燃气泄漏等安全事故；企业可以利用燃气安全系数评价数据来加强安全管理，通过评估燃气使用的安全系数，及时发现潜在风险并采取预防措施，从而减少事故发生的概率。1.数据采集：通过对工业用户燃气泄露传感器的记录编号、记录时间、用户名称、燃气表名称、开户日期、泄露传感器浓度，进行采集整理汇总。
2.数据计算：当泄露传感器浓度大于1%LEL，则记录泄露报警；累计开户天数=记录时间-开户日期；通过筛选用户名称，并根据当前记录时间进行统计计算，从而得到该用户近10天泄露报警次数、近100天泄露报警次数、近300天泄露报警次数、开户累计报警次数；安全评分=10-近10天泄露报警次数-近100天泄露报警次数/10-近300天泄露报警次数/30-开户累计报警次数/（累计开户天数/10）。
3.评级判断：根据安全评分进行安全评级，大于9.5为“正常”，8至9.5之间为“预警”，小于8为“重点关注”；安全评分与安全评级在出现新的泄露报警记录时会更新，无新预警时每10天进行一次更新。
4.数据应用：燃气供应企业可通过分析工业用户的燃气安全系数，提供定制化的安全检查和维护服务，帮助用户提高安全等级，减少燃气泄漏等安全事故；企业可以利用燃气安全系数评价数据来加强安全管理，通过评估燃气使用的安全系数，及时发现潜在风险并采取预防措施，从而减少事故发生的概率。

By integrating data including record ID, record timestamp, user name, gas meter name, account opening date, cumulative account opening days, leakage sensor concentration, whether a leakage alarm is triggered, the number of leakage alarms in the past 10 days, the number of leakage alarms in the past 100 days, the number of leakage alarms in the past 300 days, cumulative alarm count since account opening, safety score and safety rating, this dataset generates gas safety coefficient evaluation data for industrial users. Gas supply enterprises can analyze the gas safety coefficients of industrial users to provide customized safety inspection and maintenance services, helping users improve their safety levels and reduce safety accidents such as gas leaks. Enterprises can also use the gas safety coefficient evaluation data to strengthen safety management, detect potential risks in a timely manner and take preventive measures by evaluating the safety coefficient of gas use, thereby reducing the probability of accidents.

1. Data Collection: Collect, organize and summarize data including the record ID, record timestamp, user name, gas meter name, account opening date and leakage sensor concentration of industrial user gas leakage sensors.

2. Data Calculation: A leakage alarm will be logged when the leakage sensor concentration exceeds 1% LEL. The cumulative account opening days = record timestamp - account opening date. By filtering user names and performing statistical calculations based on the current record timestamp, the number of leakage alarms in the past 10 days, the number of leakage alarms in the past 100 days, the number of leakage alarms in the past 300 days and the cumulative alarm count since account opening for the target user can be obtained. The safety score is calculated as: Safety Score = 10 - (number of leakage alarms in past 10 days) - (number of leakage alarms in past 100 days)/10 - (number of leakage alarms in past 300 days)/30 - (cumulative alarm count since account opening)/(cumulative account opening days / 10)

3. Rating Judgment: Conduct safety rating based on the safety score: "Normal" for scores greater than 9.5, "Warning" for scores between 8 and 9.5, and "Key Focus" for scores less than 8. The safety score and safety rating will be updated when new leakage alarm records are generated, and will be updated every 10 days if no new warnings are detected.

4. Data Application: Gas supply enterprises can leverage the gas safety coefficient data to deliver targeted safety inspection and maintenance services for industrial users, assisting them in elevating their safety grades and reducing the occurrence of gas leakage and other safety accidents. Enterprises can also utilize this evaluation data to optimize their safety management workflows: by assessing the gas use safety coefficients, they can identify potential hazards promptly and implement preventive measures, thus lowering the likelihood of safety accidents.

搜集汇总

数据集介绍

特点

该数据集包含1736条工业用户燃气安全相关数据，每日更新，用于评价工业用户燃气安全系数。数据包括泄露传感器浓度、报警次数、安全评分和评级等信息，帮助燃气供应企业提供定制化安全服务和企业加强安全管理。