遇见数据集

用户燃气表运行状态评估数据

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浙江省数据知识产权登记平台2025-12-18 更新2025-12-19 收录
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本数据的应用场景为:1.对申请人而言,本数据通过对燃气表运行状态进行量化评估,实现设备运行健康度的精细化分级管理,公司可据此优化表具巡检、维修和更换计划,提升设备全生命周期管理水平,降低突发故障风险,从而保障用户持续稳定用气。2.对政府部门而言,本数据可为辖区燃气设施运行风险的宏观监测和趋势研判提供支撑,政府可结合评估结果开展重点区域隐患排查,完善城市燃气运行安全监管机制,并在应急事件处置中实现快速决策与精准调度。3.本数据还可为燃气表制造厂商的产品改进优化提供支撑。1.数据采集与预处理:(1)通过NB-loT、LoRa和M-Bus等技术,实时采集用户燃气表运行数据,包括用户编号、表具编号、用气时间、标况瞬时流量、工况瞬时流量、压力、温度、表具是否在定检周期内等数据字段;(2)对采集的数据进行清洗。 2.建立用户燃气表运行情况评估模型:(1)建立打分规则:①设备定检情况赋分:若表具在定检周期内,则赋分100分,若不在定检周期内,则赋分0分;②设备标况瞬时流量赋分:若0.1≤标况瞬时流量≤25,则赋分50分,若0.05≤标况瞬时流量<0.1或25<标况瞬时流量≤30,则赋分35分,若标况瞬时流量>30或<0.05,则赋分0分;③设备工况瞬时流量赋分:若0.1≤工况瞬时流量≤25,则赋分50分,若0.05≤工况瞬时流量<0.1或25<工况瞬时流量≤30,则赋分35分,若工况瞬时流量>30或<0.05,则赋分0分;④设备压力赋分:若101.0≤压力≤102.0,则赋分100分,若100.8≤压力<101.0或102.0<压力≤102.2,则赋分70分,若压力>102.2或<100.8,则赋分0分;⑤设备温度赋分:若27.0≤温度≤29.5,则赋分100分,若26.7≤温度<27.0或29.5<温度≤29.8,则赋分70分,若温度>29.8或<26.7,则赋分0分;(2)综合评分计算:综合评分=设备定检情况赋分*0.25+设备标况瞬时流量赋分*0.3+设备工况瞬时流量赋分*0.3+设备压力赋分*0.25+设备温度赋分*0.2;(3)运行状态等级划分:若80≤综合评分≤100,则划分为“良好”,若60≤综合评分<80,则划分为“一般”,若40≤综合评分<60,则划分为“异常”,若0≤综合评分<40,则划分为“高风险”。

Application scenarios of this dataset are as follows: 1. For gas utility enterprises: This dataset enables refined hierarchical management of equipment operational health by quantitatively evaluating the operating status of gas meters. Enterprises can optimize meter inspection, maintenance and replacement plans based on the evaluation results, improve the level of full lifecycle management of equipment, reduce the risk of sudden faults, and thus ensure continuous and stable gas supply for users. 2. For government departments: This dataset provides support for macro monitoring and trend analysis of operating risks of gas facilities under their jurisdiction. Governments can carry out hidden danger investigations in key areas based on the evaluation results, improve the urban gas operation safety supervision mechanism, and realize rapid decision-making and precise scheduling during emergency response. 3. This dataset also provides support for product improvement and optimization of gas meter manufacturers. 1. Data collection and preprocessing: (1) Real-time collection of operating data of user gas meters through technologies such as NB-loT, LoRa and M-Bus, including data fields such as user ID, meter ID, gas usage time, standard condition instantaneous flow rate, working condition instantaneous flow rate, pressure, temperature, and whether the meter is within the periodic inspection cycle; (2) Clean the collected data. 2. Establish an evaluation model for the operating status of user gas meters: (1) Establish scoring rules: ① Scoring for equipment periodic inspection status: 100 points if the meter is within the periodic inspection cycle, 0 points if not; ② Scoring for equipment standard condition instantaneous flow rate: 50 points if 0.1 ≤ standard condition instantaneous flow rate ≤ 25, 35 points if 0.05 ≤ standard condition instantaneous flow rate < 0.1 or 25 < standard condition instantaneous flow rate ≤ 30, 0 points if standard condition instantaneous flow rate > 30 or < 0.05; ③ Scoring for equipment working condition instantaneous flow rate: 50 points if 0.1 ≤ working condition instantaneous flow rate ≤ 25, 35 points if 0.05 ≤ working condition instantaneous flow rate < 0.1 or 25 < working condition instantaneous flow rate ≤ 30, 0 points if working condition instantaneous flow rate > 30 or < 0.05; ④ Scoring for equipment pressure: 100 points if 101.0 ≤ pressure ≤ 102.0, 70 points if 100.8 ≤ pressure < 101.0 or 102.0 < pressure ≤ 102.2, 0 points if pressure > 102.2 or < 100.8; ⑤ Scoring for equipment temperature: 100 points if 27.0 ≤ temperature ≤ 29.5, 70 points if 26.7 ≤ temperature < 27.0 or 29.5 < temperature ≤ 29.8, 0 points if temperature > 29.8 or < 26.7; (2) Comprehensive score calculation: Comprehensive score = Equipment periodic inspection status score * 0.25 + Equipment standard condition instantaneous flow rate score * 0.3 + Equipment working condition instantaneous flow rate score * 0.3 + Equipment pressure score * 0.25 + Equipment temperature score * 0.2; (3) Operating status grade division: Divided into "Good" if 80 ≤ comprehensive score ≤ 100, "Fair" if 60 ≤ comprehensive score < 80, "Abnormal" if 40 ≤ comprehensive score < 60, "High Risk" if 0 ≤ comprehensive score < 40.

创建时间:
2025-10-19
搜集汇总
数据集介绍
用户燃气表运行状态评估数据 数据集图片
背景与挑战
背景概述
该数据集是开化县天然气有限公司登记的用户燃气表运行状态评估数据,包含807条实时更新的xlsx格式数据,用于量化评估燃气表健康度。通过采集流量、压力、温度等字段,基于算法规则进行综合评分和状态分级,支持设备管理优化、政府安全监管和制造商产品改进。
以上内容由遇见数据集搜集并总结生成
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