WO2011106915A1 - Intelligent home energy management control system based on cloud computing and method thereof - Google Patents

Intelligent home energy management control system based on cloud computing and method thereof Download PDF

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Publication number
WO2011106915A1
WO2011106915A1 PCT/CN2010/001363 CN2010001363W WO2011106915A1 WO 2011106915 A1 WO2011106915 A1 WO 2011106915A1 CN 2010001363 W CN2010001363 W CN 2010001363W WO 2011106915 A1 WO2011106915 A1 WO 2011106915A1
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Prior art keywords
energy
energy consumption
cloud computing
management control
parameters
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PCT/CN2010/001363
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French (fr)
Chinese (zh)
Inventor
姜永东
Original Assignee
Jiang Yongdong
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Publication of WO2011106915A1 publication Critical patent/WO2011106915A1/en

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D4/00—Tariff metering apparatus
    • G01D4/002—Remote reading of utility meters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803—Home automation networks
    • H04L12/2823—Reporting information sensed by appliance or service execution status of appliance services in a home automation network
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D2204/00—Indexing scheme relating to details of tariff-metering apparatus
    • G01D2204/10—Analysing; Displaying
    • G01D2204/12—Determination or prediction of behaviour, e.g. likely power consumption or unusual usage patterns
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2642—Domotique, domestic, home control, automation, smart house

Definitions

  • the invention relates to the field of energy management control technologies, and in particular to a cloud computing-based smart home energy management control system and method.
  • the prior art energy management control system usually adopts traditional electrical automation technology to perform energy management control on various energy-consuming devices of a single object (such as a shopping mall, a store, a hotel, an office building industrial plant), and belongs to the field level control.
  • the management energy-saving platforms used by different manufacturers are also different. Generally, they cannot be incompatible, and there is also a lack of communication between them. Therefore, it is impossible to form a unified platform for centralized energy management control to maximize energy conservation. And in the household appliances, only the electrical appliance manufacturers use energy-saving components to realize some low-energy functions of a single device, and there is no uniform energy management control platform.
  • TRIDIUM has developed a unified platform system for energy management, which is compatible with other energy management platforms and provides users with energy consumption reference data.
  • the inventors have found that they still have the following problems:
  • the system does not have comprehensive energy statistics, analysis and management control from energy factors, energy policies, energy indicators, management systems, energy benchmarks, energy performance, energy statistics, energy optimization, etc. Provided to the user, allowing the user to correct the on-site control mode according to the statistical results, so that the optimal configuration of the energy cannot be realized;
  • Energy consumption management control of home energy-consuming equipment also needs to solve the problem of energy-consuming signal acquisition and transmission.
  • For the case of many types of household energy-consuming equipment if separate wiring is used to collect and transmit energy-consuming signals, it needs to be arranged in the home housing. A large number of signal transmission lines are not only costly but also inconvenient.
  • Cloud computing is a network technology developed in recent years. It distributes computing tasks on resource pools composed of a large number of computers, enabling various application systems to acquire computing power, storage space, and various software services as needed.
  • Major IT companies have launched their own cloud computing-based cloud platform services, such as Google (G00GLE), Microsoft, Yahoo, Amazon, etc., summed up the following characteristics of cloud computing:
  • Cloud computing allows users to access application services from any location and from any location.
  • the requested resource comes from a "cloud” rather than a fixed tangible entity.
  • the app runs somewhere in the "cloud", but in reality the user doesn't need to know or worry about where the app is running. With just one laptop or one phone, you can do everything we need through web services, even tasks like supercomputing.
  • Cloud computing is not targeted at specific applications. Under the support of "cloud”, it can construct ever-changing applications. The same “cloud” can support different application operations at the same time.
  • the size of the "cloud” can be dynamically scaled to meet the needs of application and user growth.
  • Cloud is a huge pool of resources that you can buy on demand; clouds can be billed like tap water, electricity, and gas.
  • an object of the present invention is to provide a smart home energy management control system and method based on cloud computing, which can easily and conveniently control energy consumption management of home energy consumption equipment to achieve maximum Energy-saving and consumption-reducing management and networked automatic control, so as to achieve optimal energy allocation and achieve better energy-saving effects.
  • the present invention provides a cloud computing-based smart home energy management control system, including:
  • the field controller is used for on-site control of each energy-consuming device of the smart home according to user-set parameters
  • An energy consumption parameter collector configured to collect parameters related to energy consumption of each of the energy-consuming devices
  • a cloud computing management control platform configured to adjust, according to the collected parameters related to energy consumption of the respective energy consuming devices and the user setting parameters, a field control mode of the field controller for each energy consuming device;
  • a power carrier communication module configured to communicate with each other between the field controller and the cloud computing management control platform, between the energy consumption parameter collector and the cloud computing management control platform.
  • the power carrier communication module can also be replaced with a power line networking module based on other home power line networking protocol standards, such as the power line networking module based on the Horn Print Power System.
  • the cloud computing management control platform specifically includes:
  • a receiving unit configured to receive, by the energy consumption parameter collector, a parameter related to energy consumption of each energy consuming device and the user setting parameter;
  • a first determining unit configured to determine whether the collected parameters related to energy consumption of the respective energy-consuming devices and the user-set parameters match and produce a determination result
  • An energy consumption model generating unit configured to generate a corresponding energy consumption model according to parameters related to energy consumption of each energy-consuming device when the determination result of the first determining unit is a match;
  • Historical energy consumption model database for storing various historical energy consumption models;
  • a second determining unit configured to determine whether the generated energy consumption model matches a corresponding historical energy consumption model in the historical energy consumption model database, and generates a determination result
  • control mode adjusting unit configured to adjust the field control by a power carrier communication module or a power line networking module based on a home plug-in alliance standard when the determination result of the first determining unit or the second determining unit is not matched A field control mode for each of the energy consuming devices.
  • the parameters related to the energy consumption of the respective energy-consuming devices include real-time energy consumption parameters, operating parameters, and safety parameters.
  • the corresponding historical energy consumption model in the historical energy consumption model database refers to a historical energy consumption model that matches the energy consumption constraint parameter with the generated energy consumption model, and the energy consumption constraint parameter includes the respective energy consumption One or a combination of application environment parameters, design parameters, application site type parameters, and energy supply type parameters of the device.
  • the user setting parameter and the collected parameters related to the energy consumption of each energy-consuming device are respectively transmitted to the power carrier communication module or the power line networking module and the communication network based on the home plug-in alliance standard.
  • the cloud computing management control platform is any one of a wireless internet network, a wired internet network, a GPRS, and a 3G network.
  • the present invention also provides a smart home energy management control method based on cloud computing, including:
  • S11 Perform on-site control on each energy-consuming device of the smart home according to the user-set parameter and transmit the user setting parameter to the cloud computing management control platform through the power line networking module;
  • S12 collecting parameters related to energy consumption of each energy-consuming device and sending the parameters to the cloud computing management control platform through the power line networking module;
  • the power line networking module may be a power carrier communication module or a power line networking module based on a home plug-in alliance standard.
  • the step S13 specifically includes: S131: determining whether the collected parameters related to the energy consumption of the respective energy-consuming devices and the user-set parameters match; if not, performing step S135, if yes, performing step S132;
  • S132 Generate a corresponding energy consumption model according to parameters related to energy consumption of each energy-consuming device
  • step S133 Determine whether the generated energy consumption model matches the corresponding historical energy consumption model in the historical energy consumption model database; if not, perform step S135, and if yes, perform step S134 to maintain the scene of each energy-consuming device. Control mode
  • S135 Adjust a field control mode of each energy-consuming device by using a power line networking module.
  • the method further includes the step S136, adding the generated energy consumption model to the historical energy consumption model database.
  • the beneficial effects of the invention are:
  • the energy consumption management control of the decentralized home energy consumption equipment can realize the optimal allocation of energy and achieve the purpose of energy conservation.
  • FIG. 1 is a schematic structural diagram of a cloud computing-based smart home energy management control system according to an embodiment of the present invention
  • FIG. 2 is a flowchart of a cloud computing-based smart home energy management control method according to an embodiment of the present invention
  • FIG. 3 is a flowchart of a cloud computing-based smart home energy management control method according to another embodiment of the present invention. Specific real Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
  • FIG. 1 is a schematic structural diagram of a cloud computing-based smart home energy management control system according to an embodiment of the present invention, where the cloud computing-based smart home energy management control system includes:
  • the field controller 11 is for performing on-site control of each energy consuming device 10 according to user setting parameters; the field controller 11 includes a user parameter setting unit 111 for setting parameters by the user. For example, if the energy consumption device is an air conditioner, the user sets the desired temperature, air volume and other parameters as needed.
  • Field controller 11 commonly used in smart homes includes network water valve, damper controller, network motor controller, network humidification controller, network air conditioner controller, network refrigerator controller, network TV controller, network lighting control , network audio controller, network electric curtain controller, network fan controller, network fan controller, network washing machine controller, network security protection controller, network security, access control, alarm controller and so on.
  • the energy consumption parameter collector 12 is configured to collect parameters related to energy consumption of the respective energy consumption devices 10; parameters related to energy consumption of the respective energy consumption devices include real-time energy consumption parameters, operating parameters, and safety parameters.
  • the real-time energy consumption parameter generally refers to the power parameter of each energy-consuming device directly collected by the electrical metering device, and the operating parameters include temperature, humidity, air volume, running time, frequency, etc., related parameters of each energy-consuming device during operation, and the safety parameters include Parameters related to each energy-consuming device in the case of operating conditions, faults, alarms, etc.
  • the energy consumption parameter collector 12 is generally composed of various types of sensors with network transmission functions, data statistics and summary units, data analysis and uploading units, etc., and completes data collection and preliminary statistical analysis functions, and the actual number is set according to needs. As a rule, there may be many energy consumption parameter collectors.
  • the sensors can be various network temperature sensors, network humidity sensors, network air volume sensors, network energy metering sensors, network wind speed sensors, network air quality sensors, network refrigerators, televisions, lighting, audio, electric curtains, fans, fans, Washing machine and other household electrical equipment operating parameters network collector, network access control, security, alarm signal collector, special signal network collector (such as C0, C02, formaldehyde, water flow, etc.) and so on.
  • the cloud computing management control platform 13 is configured to adjust the field controller 11 to the respective energy-consuming devices according to the collected parameters related to the energy consumption of the respective energy-consuming devices 10 and the user setting parameters. 10 on-site control mode. The purpose of the adjustment is to achieve optimal energy allocation and reduce energy consumption.
  • the power carrier communication module 30 is used for communication between the field controller 11 and the cloud computing management control platform 13, between the energy consumption parameter collector 12 and the cloud computing management control platform 13.
  • the power carrier communication module 30 mainly utilizes power carrier communication (ie, PLC, the abbreviation of Power Line Communication in English) technology, and power carrier communication is a unique communication mode of the power system, which is an existing power line, which is analog or The technology of high-speed transmission of digital signals, the biggest feature is that there is no need to re-erect the network, as long as there is a power cord, data can be transmitted. At present, this technology is mainly used for remote meter reading, remote street light control and so on. Due to the decentralized nature of home energy-consuming equipment, if the network is set up separately, it is necessary to arrange a large number of network cables in the home; and wireless network applications are also limited by many wall barriers in the home.
  • power carrier communication ie, PLC, the abbreviation of Power Line Communication in English
  • the power carrier communication module 30 collects the data of the field controller 11 and the energy consumption parameter collector 12 through the home-owned power supply line, transmits the data to the cloud computing management control platform 13 through the communication network 20, and passes the cloud computing management control platform 13
  • the data returned by the communication network 20 (adjusting the field control mode of the field device 11 to the respective energy consuming devices 10) is transmitted to the field controller 11.
  • the power carrier communication module 30 can also be replaced with a power line networking module based on other home power line networking protocol standards, such as a power line networking module based on the Homeplug Power line Allianc standard.
  • the communication network 20 can be a general communication network such as a wireless internet network, a wired internet network, a GPRS and 3G network, or a more advanced next generation transmission network.
  • the cloud computing management control platform 13 of this embodiment specifically includes:
  • the receiving unit 131 is configured to receive parameters related to energy consumption of the respective energy consuming devices 10 and the user setting parameters collected by the energy consumption parameter collector 12;
  • the first determining unit 132 is configured to determine whether the collected parameters related to the energy consumption of the respective energy-consuming devices 10 and the user-set parameters match and produce a determination result; the energy consumption model generating unit 133, And generating a corresponding energy consumption model according to parameters related to energy consumption of each energy-consuming device when the determination result of the first determining unit is a match; the energy consumption model includes indicators such as overall energy consumption and operating energy consumption.
  • the historical energy consumption model database 130 is used for storing various historical energy consumption models; the historical energy consumption model database contains various historical energy consumption models in accordance with industry standards (design standards). And the optimal energy consumption model agreed or recognized by relevant specifications, standards, etc. These historical energy consumption models take into account the evaluation criteria of energy consumption benchmark, efficiency benchmark, performance benchmark, etc., and energy consumption is relatively reasonable.
  • the second determining unit 134 is configured to determine whether the generated energy consumption model matches the corresponding historical energy consumption model in the historical energy consumption model database and generate a determination result; the establishment of the historical energy consumption model is generally restricted by the energy consumption constraint parameter
  • the energy consumption constraint parameters are different, and the corresponding historical energy consumption models are different.
  • the energy consumption constraint parameter includes one or a combination of application environment parameters, design parameters, application site type parameters, and energy supply type parameters of the respective energy consumption devices, and a combination with other constraint parameters (such as a control mode).
  • the application environment parameters of each energy-consuming equipment include geographic location, meteorological parameters, etc.
  • the design parameters include design power, measurement range, design energy consumption parameters, design energy efficiency, etc.
  • the application site type parameters include villas, ordinary houses, apartment types, etc.
  • energy supply type parameters include coal, electricity, natural gas, petroleum, biomass, heat, renewable energy, and more.
  • the user inputs the energy consumption constraint parameters of the currently generated energy consumption model through the energy consumption constraint parameter setting unit 14, and then finds the corresponding historical energy consumption model (ie, the energy consumption constraint) in the historical energy consumption model database 130 according to the energy consumption constraint parameters.
  • the historical energy consumption model matching the generated energy consumption model, and then determining whether the generated energy consumption model matches the corresponding historical energy consumption model. If the mismatch indicates that the energy consumption is unreasonable, adjustment is needed.
  • the annual energy consumption per unit area of the generated energy consumption model is 20 (T300 kWh), and the annual energy consumption per unit area of the historical energy consumption model with the same energy consumption constraint parameter is about 100 kWh, which indicates that the energy consumption is unreasonable and needs to be adjusted.
  • the control mode adjustment unit 135 is configured to adjust, by the power carrier communication module 30, the respective energy consumption of the field controller 11 when the determination result of the first determining unit 132 or the second determining unit 134 is not matched.
  • the determination result of the first determining unit 132 is not matched, it indicates that the energy consumption cannot meet the requirement set by the user, and the adjustment needs to be directly performed; when the judgment result of the second determining unit 134 is not matched, the description can Although the consumption can meet the user setting requirements, it is not optimal.
  • the second judging unit 134 determines whether the evaluation criteria such as energy consumption benchmark, efficiency benchmark, performance benchmark, etc. It is necessary to adjust to further reduce energy consumption. If the judgment result of the second judging unit 134 is a match, If the energy consumption model of the production is reasonable and meets the requirements, the generated energy consumption model is added to the historical energy consumption model database to enrich the historical data, and provide reference for subsequent energy consumption management control. The adjusted control mode is transmitted back to the field controller 11 via the power carrier communication module 30.
  • the cloud computing management control platform 13 has a variety of control modes for the field controller 11, and the above embodiment only gives one of them.
  • the cloud computing-based smart home energy management control system of the embodiment can be made into an intuitive display interface, and the user only needs to perform management control through the display interface.
  • the advantages of using the cloud computing management control platform 13 for energy management control are obvious.
  • the scale and scalability of cloud computing make it possible to achieve centralized control of ultra-large-scale energy consumption. In theory, it can realize any kind of energy in the world.
  • Management control including building energy management control, power transportation energy management control, etc., has a wider application scope;
  • the virtualization characteristics of cloud computing enable individual users to perform energy management control without separately configuring an independent energy management control platform.
  • it is obtained on demand in the "cloud”, which greatly reduces the cost;
  • the resource sharing characteristics of cloud computing make the historical data in the entire control platform very rich, and can match the best historical data as a reference to achieve optimal energy allocation. .
  • the energy consumption management control of the decentralized home energy-consuming equipment can realize the optimal allocation of energy and achieve the purpose of saving energy, especially the household energy consumption is increasing, and the cloud computing management control is utilized. It is necessary for the platform to control home energy consumption.
  • the power line networking module and the communication network jointly realize mutual communication between the field controller and the cloud computing management control platform, the energy consumption parameter collector and the cloud computing management control platform, and do not need to re-establish a complex network in the home. Data transfer, as long as there is a wire, simple and convenient.
  • FIG. 2 is a flowchart of a cloud computing-based smart home energy management control method according to an embodiment of the present invention, the method comprising:
  • S11 Perform on-site control on each energy-consuming device of the smart home according to the user setting parameter, and transmit the user setting parameter to the cloud computing management control platform through the power line networking module; wherein, the power line networking module may be power carrier communication Module or power line networking module based on the Home Plug-in Alliance standard.
  • S12 collecting parameters related to energy consumption of each energy-consuming device and sending the parameters to the cloud computing management control platform through the power line networking module; the parameters related to energy consumption of the respective energy-consuming devices include real-time energy consumption Parameters, operating parameters, and safety parameters.
  • the real-time energy consumption parameter generally refers to the power parameter of each energy-consuming device directly collected by the electrical metering device, and the operating parameters include temperature, humidity, air volume, running time, frequency, etc., related parameters of each energy-consuming device during operation, and the safety parameters include Parameters related to each energy-consuming device in the case of operating conditions, faults, alarms, etc.
  • S13 adjusting, according to the collected parameters related to energy consumption of each energy-consuming device and the user setting parameter, under the cloud computing management control platform, adjusting, by the power line networking module, the energy-consuming devices Field control mode. That is, the adjusted field control mode of each energy-consuming device is transmitted back to the field controller of each energy-consuming device by using the power line networking module.
  • cloud computing management control platform for energy management control
  • the scale and scalability of cloud computing make it possible to achieve centralized control of ultra-large-scale energy consumption. In theory, it can realize any kind of energy management control worldwide. Including building energy management control, power transportation energy management control, etc., the application scope is wider; the virtualization characteristics of cloud computing enable each user to perform energy management control without separately configuring an independent energy management control platform, but Obtained on demand in the "cloud” greatly reduces the cost; the characteristics of cloud computing resource sharing make the historical data in the entire control platform very rich, and can match the best historical data as a reference to achieve optimal energy allocation.
  • FIG. 3 is a flowchart of a cloud computing-based smart home energy management control method according to another embodiment of the present invention, which is based on the cloud computing-based smart home energy management control method shown in FIG. 2
  • the step S13 specifically includes:
  • S132 Generate a corresponding energy consumption model according to parameters related to energy consumption of each energy-consuming device
  • step S133 determining whether the generated energy consumption model matches the corresponding historical energy consumption model in the historical energy consumption model database; if not, performing step S135, if matching, Performing step S134, maintaining the on-site control mode of each energy-consuming device; the corresponding historical energy consumption model in the historical energy consumption model database refers to a historical energy consumption model matching the energy consumption constraint parameter with the generated energy consumption model
  • the energy consumption constraint parameter includes one or a combination of an application environment parameter, a design parameter, an application site type parameter, and an energy supply type parameter of each energy consumption device.
  • S135 Adjust a field control mode of each energy-consuming device by using a power line networking module.
  • the method further includes the step S136, adding the generated energy consumption model to the historical energy consumption model database, enriching historical data, and providing reference for subsequent energy consumption management control.
  • the method of the embodiment is based on the cloud computing-based smart home energy management control method shown in FIG. 2, and specifically provides a method for adjusting the control mode of the field controller under the cloud computing management control platform. It fully utilizes the rich historical features of the cloud computing management control platform, further optimizes the energy consumption model and reduces energy consumption.
  • the above embodiments are merely exemplary embodiments of the invention, and are not intended to limit the invention, the scope of the invention is defined by the appended claims. A person skilled in the art can make various modifications or equivalents to the invention within the spirit and scope of the invention, and such modifications or equivalents are also considered to fall within the scope of the invention.

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Abstract

An intelligent home energy source management control system based on cloud computing includes: a field controller (11), for field controlling each energy consumption device (10) of intelligent home according to user defined parameters; an energy consumption parameters collector (12), for collecting parameters related to energy consumption of each energy consumption device (10); a cloud computing management control platform (13), for adjusting a field control mode in which the field controller (11) controls each energy consumption device (10) according to collected parameters related to energy consumption of each energy consumption device (10) and user defined parameters; a power line networking module, for communicating with each other. A method for intelligent home energy management control is also provided.

Description

基于云计算的智慧家居能源管理控制***及；^ 技术领域 本发明涉及能源管理控制技术领域，尤其涉及一种基于云计算的 智慧家居能源管理控制***及方法。 背景技术 随着全世界范围内能源越来越紧缺，能够实现节能的能源管理控 制***也就越来越重要。  The invention relates to the field of energy management control technologies, and in particular to a cloud computing-based smart home energy management control system and method. BACKGROUND OF THE INVENTION With the increasing shortage of energy worldwide, energy management control systems that achieve energy efficiency are becoming more and more important.
现有技术中的能源管理控制***通常采用传统的电气自动化技 术， 对单个对象（如商场、 商店、 酒店、 办公楼工业厂房） 的各个耗 能设备进行能耗管理控制， 属于现场级的控制。厂家不同其使用的管 理节能平台也不同， 通常无法不兼容， 相互之间也缺乏通信， 从而无 法形成一个统一的平台集中进行统一的能耗管理控制，以最大程度地 实现节能的目的。并且在家居电器中只是电器生产厂家采用节能元器 件实现单台设备的部分低能耗功能，而没有统一性的能源管理控制平 台  The prior art energy management control system usually adopts traditional electrical automation technology to perform energy management control on various energy-consuming devices of a single object (such as a shopping mall, a store, a hotel, an office building industrial plant), and belongs to the field level control. The management energy-saving platforms used by different manufacturers are also different. Generally, they cannot be incompatible, and there is also a lack of communication between them. Therefore, it is impossible to form a unified platform for centralized energy management control to maximize energy conservation. And in the household appliances, only the electrical appliance manufacturers use energy-saving components to realize some low-energy functions of a single device, and there is no uniform energy management control platform.
美国 TRIDIUM公司首次开发了统一平台***进行能源管理，其可 以兼容其它能源管理平台， 为用户提供能耗参考数据。但本发明人发 现其仍然存在以下问题：  For the first time, TRIDIUM has developed a unified platform system for energy management, which is compatible with other energy management platforms and provides users with energy consumption reference data. However, the inventors have found that they still have the following problems:
1、 ***在处理大量历史数据时遇到处理速度不迅速、 数据保护 无法实现的问题；  1. When the system processes a large amount of historical data, it encounters problems that the processing speed is not fast and data protection cannot be realized;
2、 ***没有从能源因素、 能源方针、 能源指标、 管理体系、 能 耗基准标杆、 能源绩效、 能源统计、 能源优化等方面进行综合的能源 统计、 分析和管理控制， 仅仅是将能耗统计结果提供给用户， 让用户 自己根据统计结果去修正现场控制模式，从而无法实现能源的最优化 配置；  2. The system does not have comprehensive energy statistics, analysis and management control from energy factors, energy policies, energy indicators, management systems, energy benchmarks, energy performance, energy statistics, energy optimization, etc. Provided to the user, allowing the user to correct the on-site control mode according to the statistical results, so that the optimal configuration of the energy cannot be realized;
3、 对于相对分散的家居能耗设备并没有进行能源监视、 管理和 控制， 而随着人们生活水平日益提高， 家居能耗设备种类越来越多， 数量越来越多， 由此带来的能耗也越来越大， 有必要进行能耗管理控 制以节约能源。 3. There is no energy monitoring, management and control for relatively dispersed household energy-consuming equipment, and with the increasing living standards of people, there are more and more types of household energy-consuming equipment. With more and more quantities, the resulting energy consumption is also increasing, and it is necessary to control energy consumption to save energy.
对家居能耗设备进行能耗管理控制还需要解决能耗信号采集和 传输问题， 对于家居能耗设备种类较多的情况， 如果单独布线进行能 耗信号的采集和传输， 需要在家居房屋中布置大量的信号传输线， 不 但成本较高， 也很不方便。  Energy consumption management control of home energy-consuming equipment also needs to solve the problem of energy-consuming signal acquisition and transmission. For the case of many types of household energy-consuming equipment, if separate wiring is used to collect and transmit energy-consuming signals, it needs to be arranged in the home housing. A large number of signal transmission lines are not only costly but also inconvenient.
云计算是近几年发展起来的网络技术，它是将计算任务分布在大 量计算机构成的资源池上，使得各种应用***能够根据需要获取计算 力、 存储空间和各种软件服务。 各大 IT公司纷纷推出自己的基于云 计算的云计算的平台服务， 如谷歌 （G00GLE)、 微软、 雅虎、 亚马逊 (Amazon) 等等， 总结起来云计算具有以下特点：  Cloud computing is a network technology developed in recent years. It distributes computing tasks on resource pools composed of a large number of computers, enabling various application systems to acquire computing power, storage space, and various software services as needed. Major IT companies have launched their own cloud computing-based cloud platform services, such as Google (G00GLE), Microsoft, Yahoo, Amazon, etc., summed up the following characteristics of cloud computing:
(1) 超大规模。 "云"具有相当的规模， Google云计算已经拥有 100多万台服务器， Amazon、 IBM, 微软、 Yahoo等的 "云"均拥有几 十万台服务器。 企业私有云一般拥有数百上千台服务器， "云"能赋 予用户前所未有的计算能力。  (1) Very large scale. "Cloud" is quite large. Google Cloud Computing has more than 1 million servers. The "clouds" of Amazon, IBM, Microsoft, Yahoo, etc. all have hundreds of thousands of servers. Enterprise private clouds typically have hundreds of thousands of servers, and "clouds" can give users unprecedented computing power.
(2) 虚拟化。云计算支持用户在任意位置、使用各种终端获取应 用服务。 所请求的资源来自 "云 "， 而不是固定的有形的实体。 应用 在"云"中某处运行， 但实际上用户无需了解、 也不用担心应用运行 的具***置。只需要一台笔记本或者一个手机， 就可以通过网络服务 来实现我们需要的一切， 甚至包括超级计算这样的任务。  (2) Virtualization. Cloud computing allows users to access application services from any location and from any location. The requested resource comes from a "cloud" rather than a fixed tangible entity. The app runs somewhere in the "cloud", but in reality the user doesn't need to know or worry about where the app is running. With just one laptop or one phone, you can do everything we need through web services, even tasks like supercomputing.
(3) 高可靠性。 "云"使用了数据多副本容错、 计算节点同构可 互换等措施来保障服务的高可靠性，使用云计算比使用本地计算机可 罪。  (3) High reliability. "Cloud" uses measures such as data multi-copy fault tolerance and computational node isomorphism to ensure high reliability of services. It is guilty to use cloud computing rather than using local computers.
(4) 通用性。 云计算不针对特定的应用， 在"云"的支撑下可以 构造出***的应用， 同一个 "云"可以同时支撑不同的应用运行。  (4) Universality. Cloud computing is not targeted at specific applications. Under the support of "cloud", it can construct ever-changing applications. The same "cloud" can support different application operations at the same time.
(5) 高可扩展性。 "云" 的规模可以动态伸缩， 满足应用和用户 规模增长的需要。  (5) High scalability. The size of the "cloud" can be dynamically scaled to meet the needs of application and user growth.
(6) 按需服务。 "云"是一个庞大的资源池， 你按需购买； 云可 以象自来水， 电， 煤气那样计费。  (6) On-demand service. "Cloud" is a huge pool of resources that you can buy on demand; clouds can be billed like tap water, electricity, and gas.
(7) 极其廉价。 由于"云"的特殊容错措施可以采用极其廉价的 节点来构成云， "云" 的自动化集中式管理使大量企业无需负担日益 高昂的数据中心管理成本， "云" 的通用性使资源的利用率较之传统 ***大幅提升， 因此用户可以充分享受"云"的低成本优势， 经常只 要花费几百美元、几天时间就能完成以前需要数万美元、数月时间才 能完成的任务。 发明内容 为了解决现有技术的上述问题，本发明的目的是提供一种基于云 计算的智慧家居能源管理控制***及方法，能够简单方便地对家居能 耗设备进行能耗管理控制，实现最大限度的节能降耗管理和网络化自 动控制， 从而实现能源的最优化配置， 达到更好的节能效果。 (7) Extremely cheap. Because the special fault-tolerant measures of "cloud" can use extremely cheap nodes to form a cloud, the automated centralized management of "cloud" makes it unnecessary for a large number of enterprises to afford High data center management costs, the versatility of the "cloud" makes the utilization of resources significantly higher than the traditional system, so users can fully enjoy the low cost advantage of "cloud", often only a few hundred dollars, a few days Complete tasks that previously required tens of thousands of dollars and months to complete. SUMMARY OF THE INVENTION In order to solve the above problems of the prior art, an object of the present invention is to provide a smart home energy management control system and method based on cloud computing, which can easily and conveniently control energy consumption management of home energy consumption equipment to achieve maximum Energy-saving and consumption-reducing management and networked automatic control, so as to achieve optimal energy allocation and achieve better energy-saving effects.
为了实现上述目的，本发明提供了一种基于云计算的智慧家居能 源管理控制***， 包括：  In order to achieve the above object, the present invention provides a cloud computing-based smart home energy management control system, including:
现场控制器，用于根据用户设定参数对智慧家居的各个能耗设备 进行现场控制；  The field controller is used for on-site control of each energy-consuming device of the smart home according to user-set parameters;
能耗参数采集器，用于采集与所述各个能耗设备的能耗有关的参 数；  An energy consumption parameter collector, configured to collect parameters related to energy consumption of each of the energy-consuming devices;
云计算管理控制平台，用于根据所述采集到的与所述各个能耗设 备的能耗有关的参数和所述用户设定参数调整所述现场控制器对各 个能耗设备的现场控制模式；  a cloud computing management control platform, configured to adjust, according to the collected parameters related to energy consumption of the respective energy consuming devices and the user setting parameters, a field control mode of the field controller for each energy consuming device;
电力载波通讯模块，用于所述现场控制器与所述云计算管理控制 平台之间、所述能耗参数采集器与所述云计算管理控制平台之间的相 互通讯。电力载波通讯模块也可以利用基于其它家庭电源线联网协议 标准的电源线联网模块替代， 如基于 Horn印 lug Power l ine Al l ianc (家庭插电联盟） 标准的电源线联网模块。  And a power carrier communication module, configured to communicate with each other between the field controller and the cloud computing management control platform, between the energy consumption parameter collector and the cloud computing management control platform. The power carrier communication module can also be replaced with a power line networking module based on other home power line networking protocol standards, such as the power line networking module based on the Horn Print Power System.
作为优选， 所述云计算管理控制平台具体包括：  Preferably, the cloud computing management control platform specifically includes:
接收单元，用于接收所述能耗参数采集器采集到的与所述各个能 耗设备的能耗有关的参数和所述用户设定参数；  a receiving unit, configured to receive, by the energy consumption parameter collector, a parameter related to energy consumption of each energy consuming device and the user setting parameter;
第一判断单元，用于判断所述采集到的与所述各个能耗设备的能 耗有关的参数和所述用户设定参数是否匹配并生产判断结果；  a first determining unit, configured to determine whether the collected parameters related to energy consumption of the respective energy-consuming devices and the user-set parameters match and produce a determination result;
能耗模型生成单元，用于当所述第一判断单元的判断结果为匹配 时根据所述各个能耗设备的能耗有关的参数生成相应的能耗模型； 历史能耗模型数据库， 用于存储各种历史能耗模型； An energy consumption model generating unit, configured to generate a corresponding energy consumption model according to parameters related to energy consumption of each energy-consuming device when the determination result of the first determining unit is a match; Historical energy consumption model database for storing various historical energy consumption models;
第二判断单元，用于判断所述生成的能耗模型与历史能耗模型数 据库中对应的历史能耗模型是否匹配并生成判断结果；  a second determining unit, configured to determine whether the generated energy consumption model matches a corresponding historical energy consumption model in the historical energy consumption model database, and generates a determination result;
控制模式调整单元，用于当所述第一判断单元或所述第二判断单 元的判断结果为不匹配时通过电力载波通讯模块或基于家庭插电联 盟标准的电源线联网模块调整所述现场控制器对所述各个能耗设备 的现场控制模式。  a control mode adjusting unit, configured to adjust the field control by a power carrier communication module or a power line networking module based on a home plug-in alliance standard when the determination result of the first determining unit or the second determining unit is not matched A field control mode for each of the energy consuming devices.
作为优选，所述的与所述各个能耗设备的能耗有关的参数包括实 时能耗参数、 运行参数和安全参数。  Preferably, the parameters related to the energy consumption of the respective energy-consuming devices include real-time energy consumption parameters, operating parameters, and safety parameters.
作为优选，所述历史能耗模型数据库中对应的历史能耗模型是指 能耗约束参数与所述生成的能耗模型匹配的历史能耗模型，所述能耗 约束参数包括所述各个能耗设备的应用环境参数、设计参数、应用场 所类型参数和能源供应类型参数中的一种或者其组合。  Preferably, the corresponding historical energy consumption model in the historical energy consumption model database refers to a historical energy consumption model that matches the energy consumption constraint parameter with the generated energy consumption model, and the energy consumption constraint parameter includes the respective energy consumption One or a combination of application environment parameters, design parameters, application site type parameters, and energy supply type parameters of the device.
作为优选，所述用户设定参数和采集到的与所述各个能耗设备的 能耗有关的参数均先后通过电力载波通讯模块或基于家庭插电联盟 标准的电源线联网模块、通讯网络传送给云计算管理控制平台， 所述 通讯网络为无线 INTERNET网、 有线 INTERNET网、 GPRS和 3G网中的 任一种。  Preferably, the user setting parameter and the collected parameters related to the energy consumption of each energy-consuming device are respectively transmitted to the power carrier communication module or the power line networking module and the communication network based on the home plug-in alliance standard. The cloud computing management control platform is any one of a wireless internet network, a wired internet network, a GPRS, and a 3G network.
为了实现上述目的，本发明还提供了一种基于云计算的智慧家居 能源管理控制方法， 包括：  In order to achieve the above object, the present invention also provides a smart home energy management control method based on cloud computing, including:
S11 : 根据用户设定参数对智慧家居的各个能耗设备进行现场控 制并通过电源线联网模块将所述用户设定参数传送给云计算管理控 制平台；  S11: Perform on-site control on each energy-consuming device of the smart home according to the user-set parameter and transmit the user setting parameter to the cloud computing management control platform through the power line networking module;
S12 : 采集与所述各个能耗设备的能耗有关的参数并通过电源线 联网模块送给云计算管理控制平台；  S12: collecting parameters related to energy consumption of each energy-consuming device and sending the parameters to the cloud computing management control platform through the power line networking module;
S13 : 在云计算管理控制平台下根据所述采集到的与所述各个能 耗设备的能耗有关的参数和所述用户设定参数，通过电源线联网模块 调整对所述各个能耗设备的现场控制模式。其中， 电源线联网模块可 以是电力载波通讯模块或基于家庭插电联盟标准的电源线联网模块。  S13: adjusting, according to the collected parameters related to energy consumption of each energy-consuming device and the user setting parameter, under the cloud computing management control platform, adjusting, by the power line networking module, the energy-consuming devices Field control mode. The power line networking module may be a power carrier communication module or a power line networking module based on a home plug-in alliance standard.
所述 S13步骤具体包括： S131 :判断所述采集到的与所述各个能耗设备的能耗有关的参数 和所述用户设定参数是否匹配； 如果不匹配， 执行 S135步骤， 如果 匹配， 执行 S132步骤； The step S13 specifically includes: S131: determining whether the collected parameters related to the energy consumption of the respective energy-consuming devices and the user-set parameters match; if not, performing step S135, if yes, performing step S132;
S132 :根据所述各个能耗设备的能耗有关的参数生成相应的能耗 模型；  S132: Generate a corresponding energy consumption model according to parameters related to energy consumption of each energy-consuming device;
S133 :判断所述生成的能耗模型与历史能耗模型数据库中对应的 历史能耗模型是否匹配； 如果不匹配， 执行 S135步骤， 如果匹配， 执行 S134步骤， 保持所述各个能耗设备的现场控制模式；  S133: Determine whether the generated energy consumption model matches the corresponding historical energy consumption model in the historical energy consumption model database; if not, perform step S135, and if yes, perform step S134 to maintain the scene of each energy-consuming device. Control mode
S135 :通过电源线联网模块调整对所述各个能耗设备的现场控制 模式。  S135: Adjust a field control mode of each energy-consuming device by using a power line networking module.
作为优选， 执行所述 S134步骤后， 还包括 S136步骤， 将所述生 成的能耗模型加入到所述历史能耗模型数据库中。 本发明的有益效果是：  Preferably, after performing the step S134, the method further includes the step S136, adding the generated energy consumption model to the historical energy consumption model database. The beneficial effects of the invention are:
1、 通过云计算能源管理控制平台对分散特点突出的家居能耗设 备进行能耗管理控制， 能够实现能源的最优化配置， 达到节约能源的 目的。  1. Through the cloud computing energy management control platform, the energy consumption management control of the decentralized home energy consumption equipment can realize the optimal allocation of energy and achieve the purpose of energy conservation.
2、 利用电源线联网模块和通信网络共同实现现场控制器与云计 算管理控制平台之间、能耗参数采集器与云计算管理控制平台之间的 相互通讯， 不需要在家居中重新架设复杂网络进行数据传递， 只要有 电源线即可， 简单方便。 附图说明 图 1 是本发明实施例的基于云计算的智慧家居能源管理控制系 统的结构示意图；  2. The power line networking module and the communication network jointly realize mutual communication between the field controller and the cloud computing management control platform, the energy consumption parameter collector and the cloud computing management control platform, and do not need to re-establish a complex network in the home. For data transfer, as long as there is a power cord, it is simple and convenient. BRIEF DESCRIPTION OF DRAWINGS FIG. 1 is a schematic structural diagram of a cloud computing-based smart home energy management control system according to an embodiment of the present invention;
图 2 是本发明一个实施例的基于云计算的智慧家居能源管理控 制方法的流程图；  2 is a flowchart of a cloud computing-based smart home energy management control method according to an embodiment of the present invention;
图 3 是本发明另一个实施例的基于云计算的智慧家居能源管理 控制方法的流程图。 具体实鮮式 下面结合附图详细说明本发明的实施例。 FIG. 3 is a flowchart of a cloud computing-based smart home energy management control method according to another embodiment of the present invention. Specific real Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
如图 1所示的本发明实施例的基于云计算的智慧家居能源管理 控制***的结构示意图，该基于云计算的智慧家居能源管理控制*** 包括：  FIG. 1 is a schematic structural diagram of a cloud computing-based smart home energy management control system according to an embodiment of the present invention, where the cloud computing-based smart home energy management control system includes:
现场控制器 11， 用于根据用户设定参数对各个能耗设备 10进行 现场控制； 现场控制器 11包括用户参数设定单元 111， 其用于用户 设定参数。 比如能耗设备是空调， 则用户根据需要设定期望的温度、 风量等参数。 通常用于智慧家居的现场控制器 11包括网络水阀、 风 阀控制器， 网络电机控制器， 网络加湿控制器， 网络空调控制器， 网 络冰箱控制器， 网络电视机控制器， 网络灯光照明控制器， 网络音响 控制器， 网络电动窗帘控制器， 网络风机控制器， 网络风扇控制器， 网络洗衣机控制器， 网络安全保护控制器， 网络安防、 门禁、 报警控 制器等等。  The field controller 11 is for performing on-site control of each energy consuming device 10 according to user setting parameters; the field controller 11 includes a user parameter setting unit 111 for setting parameters by the user. For example, if the energy consumption device is an air conditioner, the user sets the desired temperature, air volume and other parameters as needed. Field controller 11 commonly used in smart homes includes network water valve, damper controller, network motor controller, network humidification controller, network air conditioner controller, network refrigerator controller, network TV controller, network lighting control , network audio controller, network electric curtain controller, network fan controller, network fan controller, network washing machine controller, network security protection controller, network security, access control, alarm controller and so on.
能耗参数采集器 12， 用于采集与所述各个能耗设备 10的能耗有 关的参数； 与所述各个能耗设备的能耗有关的参数包括实时能耗参 数、 运行参数和安全参数。 其中， 实时能耗参数通常指电计量设备直 接采集的各个能耗设备的电量参数，运行参数包括温度、湿度、风量、 运行时间、频率等等各个能耗设备运行时相关的参数， 安全参数包括 运行状态、 故障、报警等情况下各个能耗设备相关的参数。 能耗参数 采集器 12—般由各类带网络传输功能的传感器、 数据统计和汇总单 元、数据分析和上传单元等组成， 完成数据的采集和初步统计分析功 能，其实际数量是根据需要而设定的，可能有很多个能耗参数采集器。 传感器可以是各种网络温度传感器， 网络湿度传感器， 网络风量传感 器， 网络电度计量传感器， 网络风速传感器， 网络空气品质传感器， 网络冰箱、 电视机、 灯光照明、 音响、 电动窗帘、 风机、 风扇、 洗衣 机等家居电器设备运行参数网络采集器， 网络门禁、 安防、 报警信号 采集器， 特殊信号网络采集器 （如 C0、 C02、 甲醛、 水流等） 等等。  The energy consumption parameter collector 12 is configured to collect parameters related to energy consumption of the respective energy consumption devices 10; parameters related to energy consumption of the respective energy consumption devices include real-time energy consumption parameters, operating parameters, and safety parameters. The real-time energy consumption parameter generally refers to the power parameter of each energy-consuming device directly collected by the electrical metering device, and the operating parameters include temperature, humidity, air volume, running time, frequency, etc., related parameters of each energy-consuming device during operation, and the safety parameters include Parameters related to each energy-consuming device in the case of operating conditions, faults, alarms, etc. The energy consumption parameter collector 12 is generally composed of various types of sensors with network transmission functions, data statistics and summary units, data analysis and uploading units, etc., and completes data collection and preliminary statistical analysis functions, and the actual number is set according to needs. As a rule, there may be many energy consumption parameter collectors. The sensors can be various network temperature sensors, network humidity sensors, network air volume sensors, network energy metering sensors, network wind speed sensors, network air quality sensors, network refrigerators, televisions, lighting, audio, electric curtains, fans, fans, Washing machine and other household electrical equipment operating parameters network collector, network access control, security, alarm signal collector, special signal network collector (such as C0, C02, formaldehyde, water flow, etc.) and so on.
云计算管理控制平台 13， 用于根据所述采集到的与所述各个能 耗设备 10的能耗有关的参数和所述用户设定参数调整所述现场控制 器 11对所述各个能耗设备 10的现场控制模式。调整的目的是实现能 源的最优化配置， 降低能耗。 电力载波通讯模块 30， 用于所述现场控制器 11与所述云计算管 理控制平台 13之间、所述能耗参数采集器 12与所述云计算管理控制 平台 13之间的相互通讯。电力载波通讯模块 30主要利用了电力载波 通讯 （即 PLC, 英文 Power line Communication的简称) 技术， 电 力载波通讯是电力***特有的通信方式， 其是一种利用现有电力线， 通过载波方式将模拟或数字信号进行高速传输的技术，最大特点是不 需要重新架设网络， 只要有电源线， 就能进行数据传递。 目前该技 术主要用于远程抄表、远程路灯控制等。 由于家居能耗设备具有分散 的特点，如果单独架设网络将十分复杂，需要在家居中布置众多网线; 而无线网络应用也受到家居中众多的墙壁阻隔的限制。电力载波通讯 模块 30通过家居自有的电源线将现场控制器 11和能耗参数采集器 12的数据汇集后通过通信网络 20传送给云计算管理控制平台 13，以 及将云计算管理控制平台 13通过通信网络 20传回的数据（调整所述 现场控制器 11对所述各个能耗设备 10的现场控制模式）传送给现场 控制器 11。 可以看出， 利用电力载波通讯模块 30进行通信， 不需要 在家居中单独布置网线，使用十分简单方便，特别适合家居能耗控制。 电力载波通讯模块 30也可以利用基于其它家庭电源线联网协议标准 的电源线联网模块替代， 如基于 Homeplug Power line Allianc (家 庭插电联盟） 标准的电源线联网模块。 The cloud computing management control platform 13 is configured to adjust the field controller 11 to the respective energy-consuming devices according to the collected parameters related to the energy consumption of the respective energy-consuming devices 10 and the user setting parameters. 10 on-site control mode. The purpose of the adjustment is to achieve optimal energy allocation and reduce energy consumption. The power carrier communication module 30 is used for communication between the field controller 11 and the cloud computing management control platform 13, between the energy consumption parameter collector 12 and the cloud computing management control platform 13. The power carrier communication module 30 mainly utilizes power carrier communication (ie, PLC, the abbreviation of Power Line Communication in English) technology, and power carrier communication is a unique communication mode of the power system, which is an existing power line, which is analog or The technology of high-speed transmission of digital signals, the biggest feature is that there is no need to re-erect the network, as long as there is a power cord, data can be transmitted. At present, this technology is mainly used for remote meter reading, remote street light control and so on. Due to the decentralized nature of home energy-consuming equipment, if the network is set up separately, it is necessary to arrange a large number of network cables in the home; and wireless network applications are also limited by many wall barriers in the home. The power carrier communication module 30 collects the data of the field controller 11 and the energy consumption parameter collector 12 through the home-owned power supply line, transmits the data to the cloud computing management control platform 13 through the communication network 20, and passes the cloud computing management control platform 13 The data returned by the communication network 20 (adjusting the field control mode of the field device 11 to the respective energy consuming devices 10) is transmitted to the field controller 11. It can be seen that the communication using the power carrier communication module 30 does not need to separately arrange the network cable in the home, and the use is very simple and convenient, and is particularly suitable for home energy consumption control. The power carrier communication module 30 can also be replaced with a power line networking module based on other home power line networking protocol standards, such as a power line networking module based on the Homeplug Power line Allianc standard.
通讯网络 20可以是无线 INTERNET网、 有线 INTERNET网、 GPRS 和 3G网或者更先进的下一代传输网络等等通用通信网络。  The communication network 20 can be a general communication network such as a wireless internet network, a wired internet network, a GPRS and 3G network, or a more advanced next generation transmission network.
本实施例的云计算管理控制平台 13具体包括：  The cloud computing management control platform 13 of this embodiment specifically includes:
接收单元 131， 用于接收所述能耗参数采集器 12采集到的与所 述各个能耗设备 10的能耗有关的参数和所述用户设定参数；  The receiving unit 131 is configured to receive parameters related to energy consumption of the respective energy consuming devices 10 and the user setting parameters collected by the energy consumption parameter collector 12;
第一判断单元 132， 用于判断所述采集到的与所述各个能耗设备 10的能耗有关的参数和所述用户设定参数是否匹配并生产判断结果; 能耗模型生成单元 133， 用于当所述第一判断单元的判断结果为 匹配时根据所述各个能耗设备的能耗有关的参数生成相应的能耗模 型； 能耗模型包括整体耗能和运行耗能等等指标。  The first determining unit 132 is configured to determine whether the collected parameters related to the energy consumption of the respective energy-consuming devices 10 and the user-set parameters match and produce a determination result; the energy consumption model generating unit 133, And generating a corresponding energy consumption model according to parameters related to energy consumption of each energy-consuming device when the determination result of the first determining unit is a match; the energy consumption model includes indicators such as overall energy consumption and operating energy consumption.
历史能耗模型数据库 130， 用于存储各种历史能耗模型； 历史能 耗模型数据库中存有各种符合行业标准（设计标准）的历史能耗模型 以及被相关规范、标准等文件约定或承认的最优能耗模型， 这些历史 能耗模型是考虑了能耗标杆、 效率标杆、 绩效标杆等评价标准的， 能 耗相对来讲是最合理的。 The historical energy consumption model database 130 is used for storing various historical energy consumption models; the historical energy consumption model database contains various historical energy consumption models in accordance with industry standards (design standards). And the optimal energy consumption model agreed or recognized by relevant specifications, standards, etc. These historical energy consumption models take into account the evaluation criteria of energy consumption benchmark, efficiency benchmark, performance benchmark, etc., and energy consumption is relatively reasonable.
第二判断单元 134， 用于判断所述生成的能耗模型与历史能耗模 型数据库中对应的历史能耗模型是否匹配并生成判断结果；历史能耗 模型的建立通常受到能耗约束参数的制约， 能耗约束参数不同， 对应 的历史能耗模型就不同。所述能耗约束参数包括所述各个能耗设备的 应用环境参数、设计参数、应用场所类型参数和能源供应类型参数中 的一种或者其组合以及与其他约束参数（如控制模式） 的组合。 各个 能耗设备的应用环境参数包括地理位置、气象参数等等， 设计参数包 括设计功率、 测量范围而、 设计能耗参数、 设计能效等等， 应用场所 类型参数包括包括别墅、 普通住宅、 户型等等， 能源供应类型参数包 括煤炭、 电力、 天然气、 石油、 生物质能、 热能、 再生能源等等。 用 户通过能耗约束参数设定单元 14输入当前生成的能耗模型的能耗约 束参数，然后根据这些能耗约束参数在历史能耗模型数据库 130中找 到对应的历史能耗模型（即能耗约束参数与所述生成的能耗模型匹配 的历史能耗模型）， 再判断生成的能耗模型与对应的历史能耗模型是 否匹配， 如果不匹配说明能耗不合理， 需要调整。例如生成的能耗模 型单位面积年耗能 20(T300kWh， 而具有相同能耗约束参数的历史能 耗模型单位面积年耗能 lOOkWh左右， 则说明能耗不合理， 需要进行 调整。  The second determining unit 134 is configured to determine whether the generated energy consumption model matches the corresponding historical energy consumption model in the historical energy consumption model database and generate a determination result; the establishment of the historical energy consumption model is generally restricted by the energy consumption constraint parameter The energy consumption constraint parameters are different, and the corresponding historical energy consumption models are different. The energy consumption constraint parameter includes one or a combination of application environment parameters, design parameters, application site type parameters, and energy supply type parameters of the respective energy consumption devices, and a combination with other constraint parameters (such as a control mode). The application environment parameters of each energy-consuming equipment include geographic location, meteorological parameters, etc. The design parameters include design power, measurement range, design energy consumption parameters, design energy efficiency, etc. The application site type parameters include villas, ordinary houses, apartment types, etc. Etc., energy supply type parameters include coal, electricity, natural gas, petroleum, biomass, heat, renewable energy, and more. The user inputs the energy consumption constraint parameters of the currently generated energy consumption model through the energy consumption constraint parameter setting unit 14, and then finds the corresponding historical energy consumption model (ie, the energy consumption constraint) in the historical energy consumption model database 130 according to the energy consumption constraint parameters. The historical energy consumption model matching the generated energy consumption model, and then determining whether the generated energy consumption model matches the corresponding historical energy consumption model. If the mismatch indicates that the energy consumption is unreasonable, adjustment is needed. For example, the annual energy consumption per unit area of the generated energy consumption model is 20 (T300 kWh), and the annual energy consumption per unit area of the historical energy consumption model with the same energy consumption constraint parameter is about 100 kWh, which indicates that the energy consumption is unreasonable and needs to be adjusted.
控制模式调整单元 135， 用于当所述第一判断单元 132或所述第 二判断单元 134的判断结果为不匹配时通过电力载波通讯模块 30调 整所述现场控制器 11对所述各个能耗设备 10的现场控制模式。不匹 配说明能耗不符合要求， 需要对现场控制模式进行调整以降低能耗， 直到能耗匹配为止， 从而实现能耗的最优化配置。当所述第一判断单 元 132的判断结果为不匹配时， 说明能耗无法达到用户设定的要求， 需要直接进行调整； 当所述第二判断单元 134的判断结果为不匹配 时， 说明能耗虽然能够达到用户设定要求， 但还不是最优的， 没有考 虑能耗标杆、 效率标杆、 绩效标杆等评价标准， 有必要进行调整从而 进一步降低能耗。 如果所述第二判断单元 134的判断结果为匹配时， 说明生产的能耗模型是合理的符合要求的，则将所述生成的能耗模型 加入到所述历史能耗模型数据库中， 丰富历史数据， 为后续能耗管理 控制提供参考。 调整后的控制模式是通过电力载波通讯模块 30传回 到现场控制器 11中的。 The control mode adjustment unit 135 is configured to adjust, by the power carrier communication module 30, the respective energy consumption of the field controller 11 when the determination result of the first determining unit 132 or the second determining unit 134 is not matched. Field control mode of device 10. Mismatch indicates that the energy consumption does not meet the requirements, and the field control mode needs to be adjusted to reduce the energy consumption until the energy consumption is matched, thereby achieving optimal configuration of energy consumption. When the determination result of the first determining unit 132 is not matched, it indicates that the energy consumption cannot meet the requirement set by the user, and the adjustment needs to be directly performed; when the judgment result of the second determining unit 134 is not matched, the description can Although the consumption can meet the user setting requirements, it is not optimal. It does not consider the evaluation criteria such as energy consumption benchmark, efficiency benchmark, performance benchmark, etc. It is necessary to adjust to further reduce energy consumption. If the judgment result of the second judging unit 134 is a match, If the energy consumption model of the production is reasonable and meets the requirements, the generated energy consumption model is added to the historical energy consumption model database to enrich the historical data, and provide reference for subsequent energy consumption management control. The adjusted control mode is transmitted back to the field controller 11 via the power carrier communication module 30.
当然，云计算管理控制平台 13对现场控制器 11的控制模式有很 多种， 上述实施例仅仅给出了其中的一种。  Of course, the cloud computing management control platform 13 has a variety of control modes for the field controller 11, and the above embodiment only gives one of them.
为了用户使用方便，本实施例的基于云计算的智慧家居能源管理 控制***可以做成直观的显示界面，用户只需要通过显示界面进行管 理控制即可。  For the convenience of the user, the cloud computing-based smart home energy management control system of the embodiment can be made into an intuitive display interface, and the user only needs to perform management control through the display interface.
使用云计算管理控制平台 13 进行能源管理控制的优势十分明 显，云计算的规模性和可扩展性的特点使得超大规模能耗集中控制可 以实现， 理论上讲可以实现全球范围内的任何种类的能源管理控制， 包括建筑物能耗管理控制、 电力运输能耗管理控制等等， 应用范围更 广；云计算的虚拟化的特点使得各个用户进行能耗管理控制时无需单 独配置独立的能源管理控制平台， 而是在 "云"中按需获得， 大大降 低了成本；云计算的资源共享的特点使得整个控制平台内历史数据十 分丰富， 可以匹配最佳历史数据作为参考， 从而实现能源的最优化配 置。  The advantages of using the cloud computing management control platform 13 for energy management control are obvious. The scale and scalability of cloud computing make it possible to achieve centralized control of ultra-large-scale energy consumption. In theory, it can realize any kind of energy in the world. Management control, including building energy management control, power transportation energy management control, etc., has a wider application scope; the virtualization characteristics of cloud computing enable individual users to perform energy management control without separately configuring an independent energy management control platform. However, it is obtained on demand in the "cloud", which greatly reduces the cost; the resource sharing characteristics of cloud computing make the historical data in the entire control platform very rich, and can match the best historical data as a reference to achieve optimal energy allocation. .
通过云计算管理控制平台对分散特点突出的家居能耗设备进行 能耗管理控制， 能够实现能源的最优化配置， 达到节约能源的目的， 特别是家居能耗越来越大，利用云计算管理控制平台进行家居能耗控 制十分必要。而利用电源线联网模块和通信网络共同实现现场控制器 与云计算管理控制平台之间、能耗参数采集器与云计算管理控制平台 之间的相互通讯， 不需要在家居中重新架设复杂网络进行数据传递， 只要有电线即可， 简单方便。  Through the cloud computing management control platform, the energy consumption management control of the decentralized home energy-consuming equipment can realize the optimal allocation of energy and achieve the purpose of saving energy, especially the household energy consumption is increasing, and the cloud computing management control is utilized. It is necessary for the platform to control home energy consumption. The power line networking module and the communication network jointly realize mutual communication between the field controller and the cloud computing management control platform, the energy consumption parameter collector and the cloud computing management control platform, and do not need to re-establish a complex network in the home. Data transfer, as long as there is a wire, simple and convenient.
如图 2 所示的本发明一个实施例的基于云计算的智慧家居能源 管理控制方法的流程图， 该方法包括：  FIG. 2 is a flowchart of a cloud computing-based smart home energy management control method according to an embodiment of the present invention, the method comprising:
S11 : 根据用户设定参数对智慧家居的各个能耗设备进行现场控 制并通过电源线联网模块将所述用户设定参数传送给云计算管理控 制平台； 其中， 电源线联网模块可以是电力载波通讯模块或基于家庭 插电联盟标准的电源线联网模块。 S12 : 采集与所述各个能耗设备的能耗有关的参数并通过电源线 联网模块送给云计算管理控制平台；所述的与所述各个能耗设备的能 耗有关的参数包括实时能耗参数、运行参数和安全参数。 其中， 实时 能耗参数通常指电计量设备直接采集的各个能耗设备的电量参数，运 行参数包括温度、 湿度、 风量、 运行时间、 频率等等各个能耗设备运 行时相关的参数， 安全参数包括运行状态、 故障、报警等情况下各个 能耗设备相关的参数。 S11: Perform on-site control on each energy-consuming device of the smart home according to the user setting parameter, and transmit the user setting parameter to the cloud computing management control platform through the power line networking module; wherein, the power line networking module may be power carrier communication Module or power line networking module based on the Home Plug-in Alliance standard. S12: collecting parameters related to energy consumption of each energy-consuming device and sending the parameters to the cloud computing management control platform through the power line networking module; the parameters related to energy consumption of the respective energy-consuming devices include real-time energy consumption Parameters, operating parameters, and safety parameters. The real-time energy consumption parameter generally refers to the power parameter of each energy-consuming device directly collected by the electrical metering device, and the operating parameters include temperature, humidity, air volume, running time, frequency, etc., related parameters of each energy-consuming device during operation, and the safety parameters include Parameters related to each energy-consuming device in the case of operating conditions, faults, alarms, etc.
S13 : 在云计算管理控制平台下根据所述采集到的与所述各个能 耗设备的能耗有关的参数和所述用户设定参数，通过电源线联网模块 调整对所述各个能耗设备的现场控制模式。即利用电源线联网模块将 调整后的对所述各个能耗设备的现场控制模式传回到各个能耗设备 的现场控制器中。  S13: adjusting, according to the collected parameters related to energy consumption of each energy-consuming device and the user setting parameter, under the cloud computing management control platform, adjusting, by the power line networking module, the energy-consuming devices Field control mode. That is, the adjusted field control mode of each energy-consuming device is transmitted back to the field controller of each energy-consuming device by using the power line networking module.
由于使用了云计算管理控制平台进行能源管理控制，云计算的规 模性和可扩展性的特点使得超大规模能耗集中控制可以实现，理论上 讲可以实现全球范围内的任何种类的能源管理控制，包括建筑物能耗 管理控制、 电力运输能耗管理控制等等， 应用范围更广； 云计算的虚 拟化的特点使得各个用户进行能耗管理控制时无需单独配置独立的 能源管理控制平台， 而是在 "云"中按需获得， 大大降低了成本； 云 计算的资源共享的特点使得整个控制平台内历史数据十分丰富，可以 匹配最佳历史数据作为参考， 从而实现能源的最优化配置。  Due to the use of cloud computing management control platform for energy management control, the scale and scalability of cloud computing make it possible to achieve centralized control of ultra-large-scale energy consumption. In theory, it can realize any kind of energy management control worldwide. Including building energy management control, power transportation energy management control, etc., the application scope is wider; the virtualization characteristics of cloud computing enable each user to perform energy management control without separately configuring an independent energy management control platform, but Obtained on demand in the "cloud" greatly reduces the cost; the characteristics of cloud computing resource sharing make the historical data in the entire control platform very rich, and can match the best historical data as a reference to achieve optimal energy allocation.
如图 3 所示的本发明另一个实施例的基于云计算的智慧家居能 源管理控制方法的流程图，该方法在图 2所示的基于云计算的智慧家 居能源管理控制方法的基础上， 所述 S13步骤具体包括：  FIG. 3 is a flowchart of a cloud computing-based smart home energy management control method according to another embodiment of the present invention, which is based on the cloud computing-based smart home energy management control method shown in FIG. 2 The step S13 specifically includes:
S131 :判断所述采集到的与所述各个能耗设备的能耗有关的参数 和所述用户设定参数是否匹配； 如果不匹配， 执行 S135步骤， 如果 匹配， 执行 S132步骤；  S131: determining whether the collected parameters related to the energy consumption of the respective energy-consuming devices and the user-set parameters match; if not, performing step S135, if yes, performing step S132;
S132 :根据所述各个能耗设备的能耗有关的参数生成相应的能耗 模型；  S132: Generate a corresponding energy consumption model according to parameters related to energy consumption of each energy-consuming device;
S133 :判断所述生成的能耗模型与历史能耗模型数据库中对应的 历史能耗模型是否匹配； 如果不匹配， 执行 S135步骤， 如果匹配， 执行 S134步骤， 保持所述各个能耗设备的现场控制模式； 所述历史 能耗模型数据库中对应的历史能耗模型是指能耗约束参数与所述生 成的能耗模型匹配的历史能耗模型，所述能耗约束参数包括所述各个 能耗设备的应用环境参数、设计参数、应用场所类型参数和能源供应 类型参数中的一种或者其组合。 S133: determining whether the generated energy consumption model matches the corresponding historical energy consumption model in the historical energy consumption model database; if not, performing step S135, if matching, Performing step S134, maintaining the on-site control mode of each energy-consuming device; the corresponding historical energy consumption model in the historical energy consumption model database refers to a historical energy consumption model matching the energy consumption constraint parameter with the generated energy consumption model The energy consumption constraint parameter includes one or a combination of an application environment parameter, a design parameter, an application site type parameter, and an energy supply type parameter of each energy consumption device.
S135 :通过电源线联网模块调整对所述各个能耗设备的现场控制 模式。  S135: Adjust a field control mode of each energy-consuming device by using a power line networking module.
执行所述 S134步骤后， 还包括 S136步骤， 将所述生成的能耗模 型加入到所述历史能耗模型数据库中， 丰富历史数据， 为后续能耗管 理控制提供参考。  After the step S134 is performed, the method further includes the step S136, adding the generated energy consumption model to the historical energy consumption model database, enriching historical data, and providing reference for subsequent energy consumption management control.
更加详细的介绍请参考上述基于云计算的智慧家居能源管理控 制***实施例中的表述。  For a more detailed introduction, please refer to the description in the above embodiment of the cloud-based smart home energy management control system.
本实施例的方法在图 2 所示的基于云计算的智慧家居能源管理 控制方法的基础上，具体给出了一种在云计算管理控制平台下如何调 整所述现场控制器的控制模式的方法，其充分利用了云计算管理控制 平台历史数据丰富的特点， 进一步优化了能耗模型， 降低了能耗。 以上实施例仅为本发明的示例性实施例， 不用于限制本发明， 本 发明的保护范围由附加的权利要求书限定。本领域技术人员可以在本 发明的实质和保护范围内， 对本发明做出各种修改或等同替换， 这种 修改或等同替换也应视为落在本发明的保护范围内。  The method of the embodiment is based on the cloud computing-based smart home energy management control method shown in FIG. 2, and specifically provides a method for adjusting the control mode of the field controller under the cloud computing management control platform. It fully utilizes the rich historical features of the cloud computing management control platform, further optimizes the energy consumption model and reduces energy consumption. The above embodiments are merely exemplary embodiments of the invention, and are not intended to limit the invention, the scope of the invention is defined by the appended claims. A person skilled in the art can make various modifications or equivalents to the invention within the spirit and scope of the invention, and such modifications or equivalents are also considered to fall within the scope of the invention.

Claims

权利要求 Rights request
1、 一种基于云计算的智慧家居能源管理控制***，其特征在于， 包括： 1. A smart home energy management control system based on cloud computing, characterized in that:
现场控制器，用于根据用户设定参数对智慧家居的各个能耗设备 进行现场控制；  The field controller is used for on-site control of each energy-consuming device of the smart home according to user-set parameters;
能耗参数采集器，用于采集与所述各个能耗设备的能耗有关的参 数；  An energy consumption parameter collector, configured to collect parameters related to energy consumption of each of the energy-consuming devices;
云计算管理控制平台，用于根据所述采集到的与所述各个能耗设 备的能耗有关的参数和所述用户设定参数调整所述现场控制器对各 个能耗设备的现场控制模式；  a cloud computing management control platform, configured to adjust, according to the collected parameters related to energy consumption of the respective energy consuming devices and the user setting parameters, a field control mode of the field controller for each energy consuming device;
电力载波通讯模块或基于家庭插电联盟标准的电源线联网模块， 用于所述现场控制器与所述云计算管理控制平台之间、所述能耗参数 采集器与所述云计算管理控制平台之间的相互通讯。  a power carrier communication module or a power line networking module based on a home plug-in alliance standard, between the field controller and the cloud computing management control platform, the energy consumption parameter collector, and the cloud computing management control platform Communication between each other.
2、 根据权利要求 1所述的基于云计算的智慧家居能源管理控制 ***， 其特征在于， 所述云计算管理控制平台具体包括：  2. The cloud computing-based smart home energy management control system according to claim 1, wherein the cloud computing management control platform specifically comprises:
接收单元，用于接收所述能耗参数采集器采集到的与所述各个能 耗设备的能耗有关的参数和所述用户设定参数；  a receiving unit, configured to receive, by the energy consumption parameter collector, a parameter related to energy consumption of each energy consuming device and the user setting parameter;
第一判断单元，用于判断所述采集到的与所述各个能耗设备的能 耗有关的参数和所述用户设定参数是否匹配并生产判断结果；  a first determining unit, configured to determine whether the collected parameters related to energy consumption of the respective energy-consuming devices and the user-set parameters match and produce a determination result;
能耗模型生成单元，用于当所述第一判断单元的判断结果为匹配 时根据所述各个能耗设备的能耗有关的参数生成相应的能耗模型； 历史能耗模型数据库， 用于存储各种历史能耗模型；  An energy consumption model generating unit, configured to generate a corresponding energy consumption model according to parameters related to energy consumption of each energy-consuming device when the determination result of the first determining unit is a match; a historical energy consumption model database, configured to store Various historical energy consumption models;
第二判断单元，用于判断所述生成的能耗模型与历史能耗模型数 据库中对应的历史能耗模型是否匹配并生成判断结果；  a second determining unit, configured to determine whether the generated energy consumption model matches a corresponding historical energy consumption model in the historical energy consumption model database, and generates a determination result;
控制模式调整单元，用于当所述第一判断单元或所述第二判断单 元的判断结果为不匹配时通过电力载波通讯模块或基于家庭插电联 盟标准的电源线联网模块调整所述现场控制器对所述各个能耗设备 的现场控制模式。 a control mode adjusting unit, configured to adjust the field control by a power carrier communication module or a power line networking module based on a home plug-in alliance standard when the determination result of the first determining unit or the second determining unit is not matched A field control mode for each of the energy consuming devices.
3、 根据权利要求 1或 2所述的基于云计算的智慧家居能源管理 控制***， 其特征在于， 所述的与所述各个能耗设备的能耗有关的参 数包括实时能耗参数、 运行参数和安全参数。 The cloud computing-based smart home energy management control system according to claim 1 or 2, wherein the parameters related to the energy consumption of each energy-consuming device include real-time energy consumption parameters and operating parameters. And safety parameters.
4、 根据权利要求 2所述的基于云计算的智慧家居能源管理控制 ***， 其特征在于， 所述历史能耗模型数据库中对应的历史能耗模型 是指能耗约束参数与所述生成的能耗模型匹配的历史能耗模型，所述 能耗约束参数包括所述各个能耗设备的应用环境参数、设计参数、应 用场所类型参数和能源供应类型参数中的一种或者其组合。  The cloud computing-based smart home energy management control system according to claim 2, wherein the corresponding historical energy consumption model in the historical energy consumption model database refers to an energy consumption constraint parameter and the generated energy The historical energy consumption model of the consumption model is matched, and the energy consumption constraint parameter includes one or a combination of application environment parameters, design parameters, application site type parameters, and energy supply type parameters of the respective energy consumption devices.
5、 根据权利要求 1或 2所述的基于云计算的智慧家居能源管理 控制***， 其特征在于， 所述用户设定参数和采集到的与所述各个能 耗设备的能耗有关的参数均先后通过电力载波通讯模块或基于家庭 插电联盟标准的电源线联网模块、通讯网络传送给云计算管理控制平 台， 所述通讯网络为无线 INTERNET网、 有线 INTERNET网、 GPRS和 3G网中的任一种。  The cloud computing-based smart home energy management control system according to claim 1 or 2, wherein the user setting parameter and the collected parameters related to the energy consumption of each energy-consuming device are both It is transmitted to the cloud computing management control platform through the power carrier communication module or the power line networking module and the communication network based on the home plug-in alliance standard, and the communication network is any one of a wireless internet network, a wired internet network, a GPRS, and a 3G network. Kind.
6、 一种基于云计算的智慧家居能源管理控制方法，其特征在于， 包括：  6. A smart home energy management control method based on cloud computing, characterized in that:
S11 : 根据用户设定参数对智慧家居的各个能耗设备进行现场控 制并通过电源线联网模块将所述用户设定参数传送给云计算管理控 制平台；  S11: Perform on-site control on each energy-consuming device of the smart home according to the user-set parameter and transmit the user setting parameter to the cloud computing management control platform through the power line networking module;
S12 : 采集与所述各个能耗设备的能耗有关的参数并通过电源线 联网模块送给云计算管理控制平台；  S12: collecting parameters related to energy consumption of each energy-consuming device and sending the parameters to the cloud computing management control platform through the power line networking module;
S13 : 在云计算管理控制平台下根据所述采集到的与所述各个能 耗设备的能耗有关的参数和所述用户设定参数，通过电源线联网模块 调整对所述各个能耗设备的现场控制模式。  S13: adjusting, according to the collected parameters related to energy consumption of each energy-consuming device and the user setting parameter, under the cloud computing management control platform, adjusting, by the power line networking module, the energy-consuming devices Field control mode.
7、 根据权利要求 6所述的基于云计算的智慧家居能源管理控制 方法， 其特征在于， 所述 S13步骤具体包括：  The cloud computing-based smart home energy management control method according to claim 6, wherein the step S13 specifically includes:
S131 :判断所述采集到的与所述各个能耗设备的能耗有关的参数 和所述用户设定参数是否匹配； 如果不匹配， 执行 S135步骤， 如果 匹配， 执行 S132步骤；  S131: determining whether the collected parameters related to the energy consumption of the respective energy-consuming devices and the user-set parameters match; if not, performing step S135, if yes, performing step S132;
S132 :根据所述各个能耗设备的能耗有关的参数生成相应的能耗 模型； S133 :判断所述生成的能耗模型与历史能耗模型数据库中对应的 历史能耗模型是否匹配； 如果不匹配， 执行 S135步骤， 如果匹配， 执行 S134步骤， 保持所述各个能耗设备的现场控制模式； S132: Generate a corresponding energy consumption model according to parameters related to energy consumption of each energy-consuming device; S133: Determine whether the generated energy consumption model matches the corresponding historical energy consumption model in the historical energy consumption model database; if not, perform step S135, and if yes, perform step S134 to maintain the scene of each energy-consuming device. Control mode
S135 :通过电源线联网模块调整对所述各个能耗设备的现场控制 模式。  S135: Adjust a field control mode of each energy-consuming device by using a power line networking module.
8、 根据权利要求 Ί所述的基于云计算的智慧家居能源管理控制 方法， 其特征在于， 执行所述 S134步骤后， 还包括 S136步骤， 将所 述生成的能耗模型加入到所述历史能耗模型数据库中。  The cloud computing-based smart home energy management control method according to claim ,, wherein after performing the step S134, the method further includes the step S136, adding the generated energy consumption model to the historical energy. In the consumption model database.
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