樟树市居民用户每日用气量数据
收藏浙江省数据知识产权登记平台2024-12-12 更新2024-12-13 收录
下载链接:
https://www.zjip.org.cn/home/announce/trends/100195
下载链接
链接失效反馈官方服务:
资源简介:
针对燃气用户,可通过数据查询每日用气量、用气金额、单价、账户余额等信息,使用户及时了解用气情况,以及在账户余额不足时及时充值,避免由于账户余额不足停气无法使用的问题。针对燃气公司,一方面,可根据用户的用气情况分析用气行为习惯,形成居民燃气用气报表,从而实现对燃气用量档案的动态化管理,进而发掘用气规律,为燃气用量控制、用气供求平衡管理、用气保障提供精确且可靠的数据支撑;另一方面,燃气公司也可根据用户的用气情况分析出该用户是否存在异常用气,有无用气隐患等。1、物联网表每天可以通讯一定次数,每次通讯会计算出上次通讯到本次通讯之间的用气量(即用气量=本次结算读数-上次结算读数);
2、根据单价*用气量=用气金额,可计算出每天的用气金额,从而根据结算后账户余额=结算前账户余额-用气金额的计算公式,得出当天的账户余额(结算后账户余额)
For gas users, they can query information such as daily gas consumption, gas expenditure, unit price and account balance through data inquiries, so as to stay informed of their gas usage status in a timely manner, top up their accounts when the balance is insufficient, and avoid service interruptions caused by inadequate account balances.
For gas companies, on one hand, they can analyze users' gas usage behaviors and habits based on their consumption data, compile resident gas usage reports, realize dynamic management of gas consumption archives, thereby uncovering usage patterns, and provide accurate and reliable data support for gas consumption control, supply-demand balance management and gas security guarantee; on the other hand, they can also identify abnormal gas usage and potential safety hazards of users by analyzing their consumption data.
1. IoT gas meters can conduct a certain number of communications per day. Each communication will calculate the gas consumption between the previous and current communication, i.e., Gas Consumption = Current Settlement Reading - Previous Settlement Reading;
2. The daily gas expenditure can be calculated using the formula: Unit Price × Gas Consumption = Gas Expenditure. Then, according to the formula of Post-settlement Account Balance = Pre-settlement Account Balance - Gas Expenditure, the daily post-settlement account balance can be obtained.
提供机构:
浙江威星智能仪表股份有限公司
创建时间:
2024-10-18
搜集汇总
数据集介绍

特点
樟树市居民用户每日用气量数据是一个包含53151条记录的企业数据集,每日更新,详细记录了用户的用气量、用气金额、单价、账户余额等信息,适用于燃气用户和燃气公司进行用气情况分析和用气行为习惯研究。
以上内容由遇见数据集搜集并总结生成



