WO2018010426A1 - "四表合一"能源管理一体化服务系统 - Google Patents

"四表合一"能源管理一体化服务系统 Download PDF

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WO2018010426A1
WO2018010426A1 PCT/CN2017/073710 CN2017073710W WO2018010426A1 WO 2018010426 A1 WO2018010426 A1 WO 2018010426A1 CN 2017073710 W CN2017073710 W CN 2017073710W WO 2018010426 A1 WO2018010426 A1 WO 2018010426A1
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data
management
energy
meters
management module
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PCT/CN2017/073710
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French (fr)
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袁留路
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上海地虹通信科技有限公司
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Priority claimed from CN201620736101.XU external-priority patent/CN205983793U/zh
Priority claimed from CN201610549754.1A external-priority patent/CN106023561A/zh
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Publication of WO2018010426A1 publication Critical patent/WO2018010426A1/zh

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    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link

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  • the invention relates to the technical field of water, electricity, gas and heat resource use and distribution management.
  • the object of the present invention is to propose a "four-in-one" energy management integrated service system that can overcome the defects of the above existing management modes.
  • the invention comprises a plurality of sets of intelligent water meters, a plurality of sets of intelligent gas meters, a plurality of sets of smart meters, a plurality of sets of intelligent heat meters, a data collector, a data concentrator and a main station, each group of smart water meters, each group of intelligent gas meters, each group of intelligence
  • the data output of the electric meter and each group of smart heat meters is connected to the data collector Data input end, the data output end of the data collector is connected to the main station through the data concentrator, the output end of the main station is connected to the cloud server, and the cloud server is connected to the data sharing and exchange service management center through the network protocol, the energy management center and the data
  • the sharing and exchange service management center are connected, and the data sharing and exchange service management center is respectively connected with a water management module, a power management module, a gas management module, and a heat management module.
  • the working principle of the invention water, electricity, gas and heat use information of each household are respectively used by water, electricity, gas and heat of each household reflected by smart water meter, smart gas meter, smart meter and smart heat meter
  • the data of the information is collected by the data collector and concentrated in the data concentrator, and then transmitted to the cloud server via the primary station.
  • the energy management center stores the results on the cloud server and classifies and manages the data sharing and exchange service management center information, and stores the results in the data sharing and exchange service management center.
  • the water management module, the power management module, the gas management module, and the thermal management module are respective information that can be called by various management departments.
  • the invention mainly comprises three parts: an embedded energy consumption data acquisition device and a data transmission analysis decision system, adopts a cloud computing technology to implement a system architecture, realizes management and analysis of energy consumption data, provides trend prediction and energy saving diagnosis and evaluation functions, among which energy conservation Diagnostic evaluation functions can effectively support energy-saving control and energy-saving retrofit implementation.
  • the present invention also includes an ultrasonic alarm sensor, a letter of the ultrasonic alarm sensor The output of the number is connected to the data collector.
  • the ultrasonic alarm sensor inputs the alarm signals of each group of intelligent water meters, each group of intelligent gas meters, each group of smart meters and each group of intelligent heat meters to the data input end of the data collector.
  • the system is based on the self-developed energy consumption data prediction model and alarm model, making full use of the cloud computing technology to achieve the enterprise energy consumption collection, monitoring, analysis and decision-making requirements, and realizing the user's real-time access to data through the saas method, expanding and
  • the application of cloud computing in the energy saving and emission reduction industry has been deepened.
  • the system adopts a unified standardized interface and realizes real-time collection of parameters such as water, electricity, gas, heat energy and environment, and has wide versatility and expandability.
  • the invention can not only achieve the "four-in-one", but also achieve the effects of comprehensive management, information sharing, and comprehensive utilization, overcome the defects of the existing management departments, and achieve the commonality of energy management products.
  • the data processing is “cloud” and the energy consumption decision is automated, which also meets the requirements of modern management big data.
  • the invention can provide a scientific guiding direction for the government to promote energy conservation and emission reduction work in the whole society.
  • the invention relates to a data sharing and interaction technology between a city-level energy cloud data center and multiple systems, and adopts a non-exclusive design to alert the system faults and work abnormal events in various ways, thereby effectively preventing run, run, drip, and leak phenomena, and realizing Independent energy saving. It displays the intelligent remote collection and management of water, electricity, gas and heat meters, and stores the energy consumption data in a unified city-level energy cloud data center platform, which facilitates unified standard format, unified processing, unified storage, and unified distribution. It involves key technologies such as cloud storage, cloud computing, high concurrent processing, and energy consumption decision model, through the energy cloud data center platform. Special research on data sharing and interaction to ensure storage security and improve the efficiency of sharing and interaction.
  • FIG. 1 is a structural diagram of a system architecture of the present invention.
  • Figure 2 is a data transfer interface diagram of data sharing and interaction system between multiple systems.
  • the present invention is provided with multiple sets of smart water meters 1, multiple sets of smart meters 2, multiple sets of intelligent gas meters 3, multiple sets of intelligent heat meters 4, ultrasonic alarm sensors 5, data collectors 6, data sets. 7 and the primary station 8.
  • each group of intelligent water meter 1, each group of smart meter 2, each group of intelligent gas meter 3 and each group of intelligent heat meter 4, ultrasonic alarm sensor 5 is connected to the data input end of data collector 6, the data of data collector 6
  • the output is connected to the primary station 8 via a data concentrator 7, and the output of the primary station 8 is connected to the cloud server 9.
  • the cloud server 9 is connected to the data sharing and exchange service management center 11 via the network protocol 10, and a group of energy management centers 12 and data sharing and exchange service management centers 11 are connected.
  • the data sharing and exchange service management center 11 also connects the water management module 13, the power management module 14, the gas management module 15, and the heat management module 16, respectively.
  • the main functions of the system meter reading function, account function, data mining analysis, alarm management, user authority management, measurement instrument batch configuration, automatic test function, system parameter configuration, remote upgrade, clock proofreading.
  • Technology 1 Four-in-one unified transmission and acquisition technology. Utilize the Internet of Things technology to uniformly connect the water and electric heating table in a wired or wireless manner according to the actual application scenario, and unify the energy consumption data into the energy smart cloud data center.
  • Data warehouse technology is based on the information system industry The need for development, based on the development of database system technology, and gradually independent of a series of new application technologies. It is a topic-oriented, integrated, non-renewable, time-varying collection of data to support the decision-making process in business management.
  • the data in the data warehouse is topic-oriented and corresponds to the traditional database-oriented application.
  • Data warehouses must also increase the ability to store, manage, and analyze spatial data.
  • Technology 3 Data sharing and exchange technology. Water, electricity, gas, and thermal energy data have multidimensional and time-series characteristics. The huge information resources and expensive, huge data resources and expensive information costs make it impossible for people to independently produce the required data, but must share the resources and necessary information. The energy encompasses various departments and fields. And standardize and standardize these heterogeneous data for data sharing purposes.
  • the scale and standardization of heterogeneous data refers to the spatial data of multiple sources and different spatial resolutions, using GIS integrated analysis technology, and unified them to spatial resolution and unified data through projection transformation and data format conversion technology.
  • the spatial data reference of the parameters mainly includes: fusion of multi-source spatial data, projection transformation based on different spatial references, and database reorganization of specific application targets.
  • the city-level energy smart cloud data center data source and data are stored in the management ‘OLAP server and front-end application system.
  • the city-level energy smart cloud data center uses cloud computing, virtualization and Internet technologies to change residential energy consumption and urban energy dispatching methods, integrates four sets of application systems for urban residential buildings, and uniformly collects and Distribute data to increase the intensiveness, flexibility, and responsiveness of application interactions.
  • cloud computing, virtualization and Internet technologies to change residential energy consumption and urban energy dispatching methods, integrates four sets of application systems for urban residential buildings, and uniformly collects and Distribute data to increase the intensiveness, flexibility, and responsiveness of application interactions.
  • Cloud computing processing Using a new distributed processing based on the calculation base, refined analysis of massive energy consumption data.
  • Cloud service platform transplant key modules to the cloud computing platform, realize real-time access of residential users through the saas cloud service mode, check the water and electricity consumption amount by mobile phone check; help maintenance personnel, quickly locate problems in the energy use process; users can use
  • the mobile terminal reversely controls the device, switches or mediates energy to achieve true checkability, decision making, and control.
  • Data acquisition level is the integration of electrical equipment such as electricity meter, water meter, gas meter, heat meter, collector, transformer electric valve, etc., supporting the collection of various energy consumption data and remote control of various intelligent devices.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Arrangements For Transmission Of Measured Signals (AREA)

Abstract

一种"四表合一"能源管理一体化服务系统,涉及水、电、气、热资源使用及分配管理技术领域。数据采集器(6)的数据输出端通过数据集中器(7)连接主站(8),主站(8)的输出端连接云端服务器(9),云端服务器(9)通过网络协议连接数据共享与交换服务管理中心(11),能源管理中心(12)与所述数据共享与交换服务管理中心(11)连接,数据共享与交换服务管理中心(11)分别连接用水管理模块(13)、用电管理模块(14)、用气管理模块(15)和用热管理模块(16)。该系统不但可"四表合一",还可达到综合管理、信息共享、综合利用的效果,克服了现有各管理部门信息不通,各自为政的缺陷,实现了能源管理型产品通用化,数据处理"云"化,能耗决策自动化。

Description

“四表合一”能源管理一体化服务系统 技术领域
本发明涉及水、电、气、热资源使用及分配管理技术领域。
背景技术
现代生活人们离不开水、电、气、热等资源,无论是以家庭还是以集体为单位的水、电、气、热等资源的使用情况都是分别由相应的水管理部门、电管理部门、气管理部门和热管理部门各自为政分别进行采集、分析、分配等管理。
现有这种管理模式存在的缺陷是:
1.水、电、暖、热能耗成信息孤岛,不能共享及行业政府调配等。急待打通无数据标准。
2.管理繁杂,费用高,浪费人力、物力。
3.无有效报警,造成资源浪费及各种损失。
4.被动能耗无益于自主节能。
5.因各项频繁抄表引起各种社会安全及扰民事件。
因此有必要对现有以上管理模式进行改革。
发明内容
本发明目的就是提出能克服以上现有管理模式存在缺陷的一种“四表合一”能源管理一体化服务系统。
本发明包括多组智能水表、多组智能气表、多组智能电表、多组智能热表、数据采集器、数据集中器和主站,各组智能水表、各组智能气表、各组智能电表和各组智能热表的数据输出端连接数据采集器 的数据输入端,数据采集器的数据输出端通过数据集中器连接主站,主站的输出端连接云端服务器,云端服务器通过网络协议连接数据共享与交换服务管理中心,能源管理中心与所述数据共享与交换服务管理中心连接,数据共享与交换服务管理中心分别连接用水管理模块、用电管理模块、用气管理模块和用热管理模块。
本发明的工作原理:各家各户的水、电、气、热使用信息分别由智能水表、智能气表、智能电表和智能热表反映的各家各户的水、电、气、热使用信息的数据经数据采集器采用后集中在数据集中器中,再经主站传输到云端服务器。
能源管理中心通过调用云端服务器上的信息,并通过对数据共享与交换服务管理中心各信息进行分类管理、综合管理,将结果再存储于数据共享与交换服务管理中心内。
用水管理模块、用电管理模块、用气管理模块和用热管理模块是各个管理部门可以调用的各自的信息。
本发明主要由嵌入式能消耗数据采集设备、数据传输分析决策系统三个部分组成,采用云计算技术进行系统架构,实现对能消耗数据的管理与分析,提供趋势预测及节能诊断评估功能其中节能诊断评估功能可有效支持节能控制和节能改造实施。利用科学化的数据模型自动化排除外界和人为因素,清晰出节能比例,为进一步发展节能措施提供科学依据,同时配合移动终端ipad、iphone、android的使用可以反向控制设备、正真实现管理节能。
另外,本发明还包括超声波告警传感器,超声波告警传感器的信 号输出端连接数据采集器。超声波告警传感器将各组智能水表、各组智能气表、各组智能电表和各组智能热表的告警信号输入至数据采集器的数据输入端。
本系统基于自主研发的能耗数据预测模型、告警模型,充分利用云计算技术的完美实现企业能耗采集、监测、分析和决策需求,并通过saas方式实现用户对数据的实时访问需求,拓展和深化了云计算在节能减排行业的应用,同时,本系统采用统一的标准化接口,和实现对水、电、气、热能、环境等参数的实时采集,具有广泛的通用性和拓展性。
因此,采用本发明不但可“四表合一”,还可以达到综合管理、信息共享、综合利用的效果,克服了现有各管理部门信息不通,各自为政的缺陷,实现了能源管理型产品通用化,数据处理“云”化,能耗决策自动化,这也满足了现代管理大数据的要求。本发明可以为政府在全社会推动节能减排工作提供科学指导方向。
本发明为城市级能源云数据中心和多系统间数据共享与交互技术,采用不排他性设计对系统故障及工作异常事件以多种方式告警,有效地防止跑、冒、滴、漏现象,实现了自主节能。展现了水、电、气、热能表智能远传采集管理,并将能耗数据统一存放到城市级能耗云数据中心平台,便于统一标准格式、统一处理、统一存储、统一分发,云数据中心涉及到云存储、云计算、高并发处理、能耗决策模型等关键技术,通过能耗云数据中心平台。对数据的共享与交互进行专项研究,保障存储安全,提高共享与交互的效率。
附图说明
图1为本发明系统体系架构图。
图2为多系统间数据共享和交互系统数据传输接口图。
具体实施方式
如图1、2所示,本发明设有多组智能水表1、多组智能电表2、多组智能气表3、多组智能热表4、超声波告警传感器5、数据采集器6、数据集中器7和主站8。
各组智能水表1、各组智能电表2、各组智能气表3和各组智能热表4、超声波告警传感器5的数据输出端连接数据采集器6的数据输入端,数据采集器6的数据输出端通过数据集中器7连接主站8,主站8的输出端连接云端服务器9。
云端服务器9通过网络协议10连接数据共享与交换服务管理中心11,一组能源管理中心12和数据共享与交换服务管理中心11连接。数据共享与交换服务管理中心11还分别连接用水管理模块13、用电管理模块14、用气管理模块15和用热管理模块16。
系统的主要功能:抄表功能、台账功能、数据挖掘分析、告警管理、用户权限管理、测量仪表批量配置、自动化测试功能、系统参数配置、远程升级、时钟校对。
技术一:四表合一统一传输和采集技术。利用物联网技术,根据实际应用场景采用有线或无线方式统一接入水电气暖表,并将能耗数据统一汇总能源智慧云数据中心。
技术二:数据集中云存储技术。数据仓库技术是基于信息系统业 务发展的需要,基于数据库系统技术发展而来,并逐步独立的一系列新的应用技术。它是面向主题的、集成的、不可更新的、随时间不断变化的数据集合,用以支持经营管理中的决策制定过程。数据仓库中的数据面向主题,与传统数据库面向应用相对应。数据仓库还必须增加对空间数据的存储、管理和分析能力。
技术三:数据共享与交换技术。水、电、气、热能数据具有多维性和时序特性。庞大的信息资源和昂贵的,庞大的数据资源和昂贵的信息成本,使得人们无法独立生产所需的数据,而必须通过共享来获得资源和必要的信息,能源囊括了的各个部门、各个领域,并把这些异构的数据规范化和标准化达到数据共享的目的。异构数据的规模化和标准化是指把多种来源、不同空间分辨路的空间数据,利用地理信息系统综合分析技术,通过投影变换和数据格式转换技术把它们统一到具有空间分辨率、统一数据参数的空间数据基准中,主要包括:多源空间数据的融合、基于不同空间参照的投影变换、特定应用目标的数据库重组。
城市级能源智慧云数据中心数据源、数据存储于管理‘OLAP服务器以及前端应用系统四个部分。
城市级能源智慧云数据中心作为区域级能源管理中心,利用云计算、虚拟化和互联网技术改变居民能源消费和城市能源调度方式,将城市居民住宅用能四套应用系统进行整合,并统一收集和分发数据,以提高应用交互的集约性、灵活性和响应速度。通过搭建数据交换与共享平台,统一规范能源数据格式、统一原数据接口标准为做好智慧 能源数据的挖掘和共享提供基础。
云计算处理:采用全新的因计算基数进行分布式处理,精细化分析海量能耗数据。
云服务平台:将关键模块移植到云计算平台,通过saas云服务方式实现居民用户实时访问、手机一检查询水电暖用量;帮助维修人员,快速定位用能过程中的问题点;用户皆可使用移动终端反向控制设备,开关或调解用能量,实现真正的可查、可决策、可控制。
物联网技术:数据采集层面是将电表、水表、燃气表、热能表、采集器,互感器电动阀门等硬件设备的集成,支持多种能耗数据的采集、多种智能设备的远程控制。
数据标准化:外部系统需要能源数据,需要进行如下标准流程才能获得,具体包括标准需求管理、标准需求管理、标准开发、标准实施和标准维护过程。这样的标准化流程保障了给数据的标准性。

Claims (2)

  1. “四表合一”能源管理一体化服务系统,其特征在于:包括多组智能水表、多组智能气表、多组智能电表、多组智能热表、数据采集器、数据集中器和主站,各组智能水表、各组智能气表、各组智能电表和各组智能热表的数据输出端连接数据采集器的数据输入端,数据采集器的数据输出端通过数据集中器连接主站,主站的输出端连接云端服务器,云端服务器通过网络协议连接数据共享与交换服务管理中心,能源管理中心与所述数据共享与交换服务管理中心连接,数据共享与交换服务管理中心分别连接用水管理模块、用电管理模块、用气管理模块和用热管理模块。
  2. 根据权利要求1所述“四表合一”能源管理一体化服务系统,其特征在于:所述系统还包括超声波告警传感器,超声波告警传感器的信号输出端连接数据采集器。
PCT/CN2017/073710 2016-07-13 2017-02-16 "四表合一"能源管理一体化服务系统 WO2018010426A1 (zh)

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CN110855404A (zh) * 2019-11-21 2020-02-28 国网山东省电力公司电力科学研究院 一种多表合一集抄系统
CN110942404A (zh) * 2019-12-12 2020-03-31 国家电网公司 一种电力多能源信息采集控制系统
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CN113741243A (zh) * 2021-08-05 2021-12-03 海澜智云科技有限公司 一种企业综合能源管控系统及方法
CN113886654A (zh) * 2021-10-20 2022-01-04 苏州中科先进技术研究院有限公司 一种云服务数据共享系统
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