CN112564089A - 一种配电物联网数据处理方法 - Google Patents
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Abstract
本发明涉及电网云平台技术领域,具体地说,涉及一种配电物联网数据处理方法。包括构建***、数据采集、数据处理以及数据应用等步骤。本发明设计可以保障数据传输的安全,提高数据处理的效率,完善数据的全面性,实现设备状态的远程监测,提高设备管理效率,减轻工作人员的负担,保障电网运行安全,可以提升用电可靠性和用户信赖度,并可以支撑更多国电业务的开展运行。
Description
技术领域
本发明涉及电网云平台技术领域,具体地说,涉及一种配电物联网数据处理方法。
背景技术
近年来,我国基于物联网的智能配电网取得了快速发展,但大多数配电网末端发展不平衡、可变负荷冲击大。传统的配电网自动化、生产管理***、供电服务指挥***、用电信息采集***等***多为面向部门的独立建设,缺少总体设计和统一规划,基础功能只能单纯监测电力量,无法评估末端设备的运行状态,设备管理困难、只能被动知晓故障并进行应急抢险,工作效率低,增加了工作人员的工作压力,无法更好地保障电网运行安全,从而限制了国电企业新型业务的开展。
发明内容
本发明的目的在于提供一种配电物联网数据处理方法,以解决上述背景技术中提出的问题。
为实现上述技术问题的解决,本发明的目的之一在于,提供一种配电物联网数据处理方法,包括如下步骤:
S1、构建***;
S2、数据采集;
S3、数据处理;
S4、数据应用。
作为本技术方案的进一步改进,所述S1中,构建***的方法包括如下步骤:
S1.1、在配变、分支箱、户表、充电桩等末端位置按标准要求安装电表及配套的基础设备;
S1.2、在各末端电表处部署各种智能传感器,传感器包括电力采集器、温湿度传感器、***、警报器等;
S1.3、在区域范围内安装无线通讯设备;
S1.4、通过对应的无线通讯技术,将各末端的电表及智能传感器与中央处理器连接起来;
S1.5、由程序员在中央处理器上编写数据处理程序,完成数据处理***的基础构建。
作为本技术方案的进一步改进,所述S1.3中,无线通讯技术包括但不限于Bluetooth、CDMA2000、GSM、Infrared(IR)、ISM、RFID、UMTS/3GPPw/HSDPA、UWB、WiMAXWi-Fi以及ZigBee等。
作为本技术方案的进一步改进,所述S2中,数据采集的方法流程包括如下步骤:
S2.1、使电力***正常运转,同时确保各末端电表及智能传感器正常运行;
S2.2、智能电表或普通电表上配备的电力采集器分别对电力的电压、电流、有功功率、无功功率、电能示值等数据分别进行高频采集;
S2.3、其他智能传感器对电网对象及运行环境进行协同感知,并对温湿度等状态数据分别进行采集;
S2.4、采集的数据经短距离集中传输到数据汇节点,数据汇节模块对数据进行打包;
S2.5、无线传输模块对打包的数据进行信息加密处理;
S2.6、初步处理后的数据经对应的无线网络通讯路径传输到中央处理器。
作为本技术方案的进一步改进,所述S3中,数据处理的方法流程包括如下步骤:
S3.1、数据处理***先对接收的数据进行解压、解析;
S3.2、对解压后的数据进行清洗,筛除无效、错误、重复的数据;
S3.3、对不同指标的数据分别进行统计、计算及分析;
S3.4、不同指标的数据经统计后分别自动生成对应的报表及统计图形;
S3.5、接收各末端位置的坐标数据,结合该地区的地图资料,绘制精确的电表分布地图;
S3.6、对统计后的数据结构及对应报表、统计图形进行分类存储;
S3.7、对数据处理全过程进行记录,并将处理记录及数据处理结果反馈给用户。
作为本技术方案的进一步改进,所述S3.3中,对不同指标的数据分别进行统计、计算及分析的方法包括如下步骤:
S3.3.1、分别对电力量数据进行时间段累加统计、对用电量进行总数累加计算、对阶梯计费的用电量分别进行累加计算;
S3.3.2、对用电高峰、对用电低谷分别进行区分及统计;
S3.3.3、对末端位置的温度变化进行统计,对高温、低温时间段进行区分及统计;
S3.3.4、对末端位置的湿度变化进行统计,对高湿度、低湿度时间段进行区分及统计;
S3.3.5、对末端位置设备出现故障的时间、类型、处理方案等数据信息进行统计等。
作为本技术方案的进一步改进,所述S4中,数据应用的方法包括如下步骤:
S4.1、实现远程智能抄表,减轻工作人员的工作强度和工作量;
S4.2、实现各末端设备的状态监测,实现故障上报、及时排障,并可以通过分析数据统计结果来评估与诊断末端设备的状态是否正常;
S4.3、通过综合分析各指标的数据统计结果,可以实现配电策略优化;
S4.4、综合多区域电力使用情况的数据统计结果,使国电企业可以更好地实现电力统筹规划,提高电网运行的效率,促进清洁能源消纳;
S4.5、通过统计累加的电力量数据结果,结合当地电费标准,实现资费清算,提高客户服务的质量;
S4.6、综合所有数据统计结果,可以促进新型业务的开展。
作为本技术方案的进一步改进,所述。
本发明的目的之二在于,提供一种基于深度混合云模型的场景异常感知指标计算装置,包括处理器、存储器以及存储在存储器中并在处理器上运行的计算机程序,处理器用于执行计算机程序时实现上述任一的配电物联网数据处理方法的步骤。
本发明的目的之三在于,所述计算机可读存储介质存储有计算机程序,其特征在于:所述计算机程序被处理器执行时实现上述任一的配电物联网数据处理方法的步骤。
与现有技术相比,本发明的有益效果:该配电物联网数据处理方法中,通过在末端电表处部署多种智能传感器,其与电表协同感知,可以保障数据传输的安全,提高数据处理的效率,完善数据的全面性,实现设备状态的远程监测,提高设备管理效率,减轻工作人员的负担,保障电网运行安全,可以提升用电可靠性和用户信赖度,并可以支撑更多国电业务的开展运行。
附图说明
图1为本发明的整体产品架构图;
图2为本发明的整体方法流程图;
图3为本发明中构建***的方法流程图;
图4为本发明中数据采集的方法流程图;
图5为本发明中数据处理的方法流程图;
图6为本发明中数据统计的方法流程图;
图7为本发明中数据应用的方法流程图;
图8为本发明中处理装置的结构示意图。
具体实施方式
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。
产品及方法实施例
如图1-图8所示,本实施例的目的在于,提供一种配电物联网数据处理方法,包括如下步骤:
S1、构建***;
S2、数据采集;
S3、数据处理;
S4、数据应用。
本实施例中,S1中,构建***的方法包括如下步骤:
S1.1、在配变、分支箱、户表、充电桩等末端位置按标准要求安装电表及配套的基础设备;
S1.2、在各末端电表处部署各种智能传感器,传感器包括电力采集器、温湿度传感器、***、警报器等;
S1.3、在区域范围内安装无线通讯设备;
S1.4、通过对应的无线通讯技术,将各末端的电表及智能传感器与中央处理器连接起来;
S1.5、由程序员在中央处理器上编写数据处理程序,完成数据处理***的基础构建。
本实施例中,S1.3中,无线通讯技术包括但不限于Bluetooth、CDMA2000、GSM、Infrared(IR)、ISM、RFID、UMTS/3GPPw/HSDPA、UWB、WiMAXWi-Fi以及ZigBee等。
本实施例中,S2中,数据采集的方法流程包括如下步骤:
S2.1、使电力***正常运转,同时确保各末端电表及智能传感器正常运行;
S2.2、智能电表或普通电表上配备的电力采集器分别对电力的电压、电流、有功功率、无功功率、电能示值等数据分别进行高频采集;
S2.3、其他智能传感器对电网对象及运行环境进行协同感知,并对温湿度等状态数据分别进行采集;
S2.4、采集的数据经短距离集中传输到数据汇节点,数据汇节模块对数据进行打包;
S2.5、无线传输模块对打包的数据进行信息加密处理;
S2.6、初步处理后的数据经对应的无线网络通讯路径传输到中央处理器。
本实施例中,S3中,数据处理的方法流程包括如下步骤:
S3.1、数据处理***先对接收的数据进行解压、解析;
S3.2、对解压后的数据进行清洗,筛除无效、错误、重复的数据;
S3.3、对不同指标的数据分别进行统计、计算及分析;
S3.4、不同指标的数据经统计后分别自动生成对应的报表及统计图形;
S3.5、接收各末端位置的坐标数据,结合该地区的地图资料,绘制精确的电表分布地图;
S3.6、对统计后的数据结构及对应报表、统计图形进行分类存储;
S3.7、对数据处理全过程进行记录,并将处理记录及数据处理结果反馈给用户。
其中,S3.5中,电表分布地图用于展示各末端电表的具***置,在设备出现故障时,警报器发出警报并上报到中央处理器,同时反馈故障位置的精确坐标。
本实施例中,S3.3中,对不同指标的数据分别进行统计、计算及分析的方法包括如下步骤:
S3.3.1、分别对电力量数据进行时间段累加统计、对用电量进行总数累加计算、对阶梯计费的用电量分别进行累加计算;
S3.3.2、对用电高峰、对用电低谷分别进行区分及统计;
S3.3.3、对末端位置的温度变化进行统计,对高温、低温时间段进行区分及统计;
S3.3.4、对末端位置的湿度变化进行统计,对高湿度、低湿度时间段进行区分及统计;
S3.3.5、对末端位置设备出现故障的时间、类型、处理方案等数据信息进行统计等。
具体地,在分析用电情况时,需结合对应时间点的设备运行环境情况,以提高设备运行状态评估的准确性。
本实施例中,S4中,数据应用的方法包括如下步骤:
S4.1、实现远程智能抄表,减轻工作人员的工作强度和工作量;
S4.2、实现各末端设备的状态监测,实现故障上报、及时排障,并可以通过分析数据统计结果来评估与诊断末端设备的状态是否正常;
S4.3、通过综合分析各指标的数据统计结果,可以实现配电策略优化;
S4.4、综合多区域电力使用情况的数据统计结果,使国电企业可以更好地实现电力统筹规划,提高电网运行的效率,促进清洁能源消纳;
S4.5、通过统计累加的电力量数据结果,结合当地电费标准,实现资费清算,提高客户服务的质量;
S4.6、综合所有数据统计结果,可以促进新型业务的开展。
电子设备实施例
参阅图8,示出了本实施例所涉及的配电物联网数据处理装置结构示意图,该装置包括处理器、存储器以及存储在存储器中并在处理器上运行的计算机程序。
处理器包括一个或一个以上处理核心,处理器通过总线与处理器相连,存储器用于存储程序指令,处理器执行存储器中的程序指令时实现上述的配电物联网数据处理方法。
可选的,存储器可以由任何类型的易失性或非易失性存储设备或者它们的组合实现,如静态随时存取存储器(SRAM),电可擦除可编程只读存储器(EEPROM),可擦除可编程只读存储器(EPROM),可编程只读存储器(PROM),只读存储器(ROM),磁存储器,快闪存储器,磁盘或光盘。
此外,本发明还提供一种计算机可读存储介质,计算机可读存储介质存储有计算机程序,计算机程序被处理器执行时实现上述的配电物联网数据处理方法的步骤。
可选的,本发明还提供了一种包含指令的计算机程序产品,当其在计算机上运行时,使得计算机执行上述各方面配电物联网数据处理方法的步骤。
本领域普通技术人员可以理解实现上述实施例的全部或部分步骤可以通过硬件来完成,也可以通过程序来指令相关的硬件完成,程序可以存储与一种计算机可读存储介质中,上述提到的存储介质可以是只读存储器,磁盘或光盘等。
以上显示和描述了本发明的基本原理、主要特征和本发明的优点。本行业的技术人员应该了解,本发明不受上述实施例的限制,上述实施例和说明书中描述的仅为本发明的优选例,并不用来限制本发明,在不脱离本发明精神和范围的前提下,本发明还会有各种变化和改进,这些变化和改进都落入要求保护的本发明范围内。本发明要求保护范围由所附的权利要求书及其等效物界定。
Claims (7)
1.一种配电物联网数据处理方法,其特征在于:包括如下步骤:
S1、构建***;
S2、数据采集;
S3、数据处理;
S4、数据应用。
2.根据权利要求1所述的配电物联网数据处理方法,其特征在于:所述S1中,构建***的方法包括如下步骤:
S1.1、在配变、分支箱、户表、充电桩等末端位置按标准要求安装电表及配套的基础设备;
S1.2、在各末端电表处部署各种智能传感器,传感器包括电力采集器、温湿度传感器、***、警报器等;
S1.3、在区域范围内安装无线通讯设备;
S1.4、通过对应的无线通讯技术,将各末端的电表及智能传感器与中央处理器连接起来;
S1.5、由程序员在中央处理器上编写数据处理程序,完成数据处理***的基础构建。
3.根据权利要求2所述的配电物联网数据处理方法,其特征在于:所述S1.3中,无线通讯技术包括但不限于Bluetooth、CDMA2000、GSM、Infrared(IR)、ISM、RFID、UMTS/3GPPw/HSDPA、UWB、WiMAXWi-Fi以及ZigBee等。
4.根据权利要求1所述的配电物联网数据处理方法,其特征在于:所述S2中,数据采集的方法流程包括如下步骤:
S2.1、使电力***正常运转,同时确保各末端电表及智能传感器正常运行;
S2.2、智能电表或普通电表上配备的电力采集器分别对电力的电压、电流、有功功率、无功功率、电能示值等数据分别进行高频采集;
S2.3、其他智能传感器对电网对象及运行环境进行协同感知,并对温湿度等状态数据分别进行采集;
S2.4、采集的数据经短距离集中传输到数据汇节点,数据汇节模块对数据进行打包;
S2.5、无线传输模块对打包的数据进行信息加密处理;
S2.6、初步处理后的数据经对应的无线网络通讯路径传输到中央处理器。
5.根据权利要求1所述的配电物联网数据处理方法,其特征在于:所述S3中,数据处理的方法流程包括如下步骤:
S3.1、数据处理***先对接收的数据进行解压、解析;
S3.2、对解压后的数据进行清洗,筛除无效、错误、重复的数据;
S3.3、对不同指标的数据分别进行统计、计算及分析;
S3.4、不同指标的数据经统计后分别自动生成对应的报表及统计图形;
S3.5、接收各末端位置的坐标数据,结合该地区的地图资料,绘制精确的电表分布地图;
S3.6、对统计后的数据结构及对应报表、统计图形进行分类存储;
S3.7、对数据处理全过程进行记录,并将处理记录及数据处理结果反馈给用户。
6.根据权利要求5所述的配电物联网数据处理方法,其特征在于:所述S3.3中,对不同指标的数据分别进行统计、计算及分析的方法包括如下步骤:
S3.3.1、分别对电力量数据进行时间段累加统计、对用电量进行总数累加计算、对阶梯计费的用电量分别进行累加计算;
S3.3.2、对用电高峰、对用电低谷分别进行区分及统计;
S3.3.3、对末端位置的温度变化进行统计,对高温、低温时间段进行区分及统计;
S3.3.4、对末端位置的湿度变化进行统计,对高湿度、低湿度时间段进行区分及统计;
S3.3.5、对末端位置设备出现故障的时间、类型、处理方案等数据信息进行统计等。
7.根据权利要求1所述的配电物联网数据处理方法,其特征在于:所述S4中,数据应用的方法包括如下步骤:
S4.1、实现远程智能抄表,减轻工作人员的工作强度和工作量;
S4.2、实现各末端设备的状态监测,实现故障上报、及时排障,并可以通过分析数据统计结果来评估与诊断末端设备的状态是否正常;
S4.3、通过综合分析各指标的数据统计结果,可以实现配电策略优化;
S4.4、综合多区域电力使用情况的数据统计结果,使国电企业可以更好地实现电力统筹规划,提高电网运行的效率,促进清洁能源消纳;
S4.5、通过统计累加的电力量数据结果,结合当地电费标准,实现资费清算,提高客户服务的质量;
S4.6、综合所有数据统计结果,可以促进新型业务的开展。
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