CN107422645A - A kind of smart home power saving apparatus and method based on self study - Google Patents
A kind of smart home power saving apparatus and method based on self study Download PDFInfo
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- CN107422645A CN107422645A CN201710664873.6A CN201710664873A CN107422645A CN 107422645 A CN107422645 A CN 107422645A CN 201710664873 A CN201710664873 A CN 201710664873A CN 107422645 A CN107422645 A CN 107422645A
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- intelligent control
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Classifications
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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
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- 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
- H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- 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
Abstract
A kind of smart home power saving apparatus and method based on self study, can solve traditional intelligentized Furniture energy-saving scheme needs not convenient enough the technical problem of manual control.Including smart home product, family data acquisition module, household intelligent control module and high in the clouds calculating center；The smart home product and family data acquisition module are connected with household intelligent control module communication respectively, and household intelligent control module connects with the communication of high in the clouds calculating center；The present invention can combine according to user's use habit, environment self study and with energy situation, with reference to Optimized model, carry out the optimization of electricity consumption setting, as former user may open air-conditioning in family when next, it is present we according to air-conditioning temperature-reducing situation, user leaves company's time, the distance in family, traffic conditions, user preference temperature, set air-conditioner temperature automatically, frequency etc., optimal setting scheme.
Description
Technical field
The present invention relates to field of energy-saving technology, and in particular to a kind of smart home power saving apparatus and side based on self study
Method.
Background technology
Smart home is the embodiment of the Thingsization under the influence of internet.Smart home is by technology of Internet of things by family
Various equipment（Such as audio ＆ video equipment, illuminator, curtain control, airconditioning control, safety-protection system, Digital Theater System, audio-visual clothes
Business device, shadow cabinet system, network home appliance etc.）Connect together, there is provided home wiring control, Lighting control, remote control using telephone, indoor and outdoor
The multiple functions such as remote control, burglar alarm, environmental monitoring, HVAC control, infrared forwarding and programmable Timer control and means.With
Common household is compared, and smart home not only has traditional inhabitation function, has both building, network service, information household appliances, equipment certainly
Dynamicization, there is provided comprehensive information exchange function, even various energy expenditures save fund.How the smart home of normality is made
While more pressing close to our life, accomplish the saving of energy loss, it would be desirable to the control program of a set of self study.
Existing intelligentized Furniture basic need manual control, without intelligentized power saving scheme, or by basis setting based on,
Lack the process of self-learning optimization.
The content of the invention
A kind of smart home power saving apparatus and method based on self study proposed by the present invention, can solve traditional intelligent family
Tool energy-saving scheme needs not convenient enough the technical problem of manual control.
To achieve the above object, present invention employs following technical scheme：
A kind of smart home power saving apparatus based on self study, including smart home product, family data acquisition module, family's intelligence
Energy control module and high in the clouds calculating center；The smart home product and family data acquisition module respectively with household intelligent control
Module communication connects, and household intelligent control module connects with the communication of high in the clouds calculating center；Wherein,
The smart home product of the smart home product, i.e. family；
The family data acquisition module, it is mainly used in family's light, sound, temperature, the collection of electric energy loss basic environmental factors；
The household intelligent control module, home intelligent home control center, control and family for smart home in family
The Data Collection of user's custom；
The high in the clouds calculating center is data storage and the calculating center of all smart homes, is made for a large number of users smart home
It is accustomed to storage and the big data calculating platform of data, and data sharing distribution platform with data and user.
Further, in addition to mobile data acquisition module, the mobile data acquisition module respectively with home intelligent control
Molding block and the communication connection of high in the clouds calculating center.
Further, the mobile data acquisition module is kinsfolk's smart mobile phone, is positioned and is operated with reference to APP
Information gathering.
A kind of smart home power-saving method based on self study, comprises the following steps：
Step 1：The basis that user is provided according to preference using intelligent home device is set to set household intelligent control module to open
Dynamic smart home product；
Step 2：Family data acquisition module in user in use, record ambient conditions and with energy situation；
Step 3：The data of family data acquisition module are carried out sunykatuib analysis by household intelligent control module, and are combined high in the clouds and counted
The external information that calculation center provides, using big data model, will be analyzed using data, and according to analysis result optimal setting
Scheme；
Step 4：Household intelligent control module will send high in the clouds calculating center simultaneously in analyze data, utilize more families in regional extent
Family data is revised for analysis result；
Step 5：The new setting scheme drawn according to step 5, household intelligent control module correct setup parameter automatically.
Step 6：If user continues have related adjustment after amendment, the process of repeat step two to step 5 again.
Further, the step 4 also includes carrying out data classification for family data, specifically includes user type, electricity
Device classification, weather condition, regional characteristic, consumption habit, then carry out data cleansing and data analysis.
Further, the data cleansing is removing redundant data and bad data.
Further, the data analysis is analyzed for big data, and specifically include makes according to user data progress smart home
Model foundation is carried out with data, the parameter of model interaction includes ambient parameter, user preferences, weather parameters, region, electricity consumption number
According to carrying out data fitting using clustering method, by the checking of data, continuous correction model, ensure the validity of data analysis.
Further, the step 2 also includes mobile data acquisition module offer customer location and user's teleinstruction letter
Breath；The step 3 also includes household intelligent control module and the data of mobile data acquisition module is carried out into sunykatuib analysis, and ties
The external information that high in the clouds calculating center provides is closed, using big data model, will be analyzed using data, and according to analysis result
Optimal setting scheme.
Further, the ambient conditions in the step 2 is temperature, sound and numerical value corresponding to humidity.
Further, the external information that the high in the clouds calculating center in the step 3 provides is region and Weather information.
As shown from the above technical solution, this programme is analyzed substantial amounts of smart home using big data analytical technology and used
Data, and combine with energy situation, the smart home setting scheme of basis of formation.The a variety of setting Scheme Choices of user are provided, used
After family selection setting scheme, the preference of the use habit, such as different kinsfolks of user is recorded in use（Light is bright
Degree, air-conditioner temperature, bathing water temperature, volume, usage time etc.）, in combination with living environment, temperature, electrical equipment condition etc., divide
Analyse the efficiency of electrical equipment（Such as outside air temperature difference, air-conditioning drops to the time of design temperature, according to external environment condition（Time, weather）Room
Interior light conditions collection etc.）, and the Energy dissipation of tou power price and consumption habit adjustment household electrical appliances is combined, some are nonessential immediately
The household electrical appliances high energy consumption stage used is placed on night and used.
Combined according to user's use habit, environment self study and with energy situation, with reference to Optimized model, carry out electricity consumption setting
Optimization, as former user may in house is opened when next air-conditioning, it is present that we leave public affairs according to air-conditioning temperature-reducing situation, user
The time is taken charge of, the distance in family, traffic conditions, user preference temperature, sets air-conditioner temperature, frequency etc., optimal setting side automatically
Case.
After optimal setting scheme, continue to record the operating habit and energy consumption of user, if user continues have related tune
Whole and energy consumption unobvious, we situation can be adjusted according to user and energy consumption continues optimal setting scheme.It is based on
The study of long-time service life and optimization process, look for optimal setting operational version.
Brief description of the drawings
Fig. 1 is the structured flowchart of the present invention；
Fig. 2 is the flow chart of the power-saving method of the present invention.
Embodiment
The present invention will be further described below in conjunction with the accompanying drawings：
As shown in figure 1, a kind of smart home power saving apparatus based on self study of the present embodiment, including smart home product, family
Front yard data acquisition module, household intelligent control module, mobile data acquisition module and high in the clouds calculating center；The smart home production
Product and family data acquisition module are connected with household intelligent control module communication respectively, and household intelligent control module calculates with high in the clouds
Center communication connection；The mobile data acquisition module connects with household intelligent control module and the communication of high in the clouds calculating center respectively
Connect；Wherein,
The smart home product of the smart home product, i.e. family；
The family data acquisition module, it is mainly used in family's light, sound, temperature, the collection of electric energy loss basic environmental factors；
The household intelligent control module, home intelligent home control center, control and family for smart home in family
The Data Collection of user's custom；
The mobile data acquisition module is kinsfolk's smart mobile phone, is positioned with reference to APP and operation information gathers.
The high in the clouds calculating center is data storage and the calculating center of all smart homes, for a large number of users intelligence man
Occupy storage and the big data calculating platform for being accustomed to data using data and user, and data sharing distribution platform.
The main method of work of the present embodiment be by household intelligent control module, Family Day regular data acquisition module,
Mobile data acquisition module uploads to smart home service condition, environmental data, user using critical datas such as data substantially
High in the clouds calculating center.Data classification is carried out for data（User type, electrical equipment classification, weather condition, regional characteristic, electricity consumption are practised
It is used（It is energy-saving, comfort type, environment-friendly type etc.））, data cleansing（Remove redundant data and bad data）, data analysis（Using big number
According to analysis method：Cluster analysis（K-means, linear regression, fuzzy clustering）, draw the different rationalization of several sets
Configured based on smart home operational version.
Big data processing method：Smart home is carried out according to user data and carries out model foundation, model interaction using data
Parameter include ambient parameter, user preferences, weather parameters, region, electricity consumption data, using clustering method carry out data fitting,
By the checking of data, continuous correction model, ensure the validity of data analysis.
Understood with reference to Fig. 2, the specific implementation process of embodiment：
1. the basis that user is provided according to preference using intelligent home device is set to set household intelligent control module to start intelligence
Can family product.
2. family data acquisition module in user in use, record ambient conditions and with energy situation.Ambient conditions：Temperature,
Sound, humidity etc..
3. mobile data acquisition module provides the information such as customer location, user's teleinstruction
4. the data of family data acquisition module and the data of mobile data acquisition module are carried out mould by household intelligent control module
Intend analysis, and combine the external information that high in the clouds calculating center provides（Region, weather etc.）, using big data model, number will be used
According to being analyzed.According to analysis result optimal setting scheme.
5. household intelligent control module will send high in the clouds calculating center simultaneously in analyze data, more families in regional extent are utilized
Family data is revised for analysis result.
6. according to the new setting scheme drawn, household intelligent control module corrects setup parameter automatically.
7. if user continues have related adjustment after amendment, repeatedly 2-6 processes again.
User is set in selection configurations as the use at initial stage, and in use, user can be according to the use of self
The adjustment that electricity custom carries out service condition is set, and household intelligent control module can record user's custom and energy consumption, and tie
High in the clouds data are closed to be micro-adjusted, according to user's use habit, environment self study and with can situation combination, with reference to Optimized model,
Carry out the optimization of electricity consumption setting, as former user may in house is opened when next air-conditioning, it is present we according to air-conditioning temperature-reducing
Situation, user leave company's time, the distance in family, traffic conditions, user preference temperature, set air-conditioner temperature automatically, frequency
Rate etc., optimal setting scheme.And continue to record, be constantly adjusted, no longer set, found manually until reaching user
User's satisfaction and the equalization point effectively saved.
Embodiment described above is only that the preferred embodiment of the present invention is described, not to the model of the present invention
Enclose and be defined, on the premise of design spirit of the present invention is not departed from, technical side of the those of ordinary skill in the art to the present invention
The various modifications and improvement that case is made, all should fall within the scope of protection of the present invention.
Claims (10)
- A kind of 1. smart home power saving apparatus based on self study, it is characterised in that：Including smart home product, family data is adopted Collect module, household intelligent control module and high in the clouds calculating center；Smart home product and family data the acquisition module difference It is connected with household intelligent control module communication, household intelligent control module connects with the communication of high in the clouds calculating center；Wherein,The smart home product of the smart home product, i.e. family；The family data acquisition module, it is mainly used in family's light, sound, temperature, the collection of electric energy loss basic environmental factors；The household intelligent control module, home intelligent home control center, control and family for smart home in family The Data Collection of user's custom；The high in the clouds calculating center is data storage and the calculating center of all smart homes, is made for a large number of users smart home It is accustomed to storage and the big data calculating platform of data, and data sharing distribution platform with data and user.
- 2. the smart home power saving apparatus according to claim 1 based on self study, it is characterised in that：Also include mobile number According to acquisition module, the mobile data acquisition module connects with household intelligent control module and the communication of high in the clouds calculating center respectively.
- 3. the smart home power saving apparatus according to claim 2 based on self study, it is characterised in that：The mobile data Acquisition module is kinsfolk's smart mobile phone, is positioned with reference to APP and operation information gathers.
- A kind of 4. smart home power-saving method based on self study, it is characterised in that：Comprise the following steps：Step 1：The basis that user is provided according to preference using intelligent home device is set to set household intelligent control module to open Dynamic smart home product；Step 2：Family data acquisition module in user in use, record ambient conditions and with energy situation；Step 3：The data of family data acquisition module are carried out sunykatuib analysis by household intelligent control module, and are combined high in the clouds and counted The external information that calculation center provides, using big data model, will be analyzed using data, and according to analysis result optimal setting Scheme；Step 4：Household intelligent control module will send high in the clouds calculating center simultaneously in analyze data, utilize more families in regional extent Family data is revised for analysis result；Step 5：The new setting scheme drawn according to step 5, household intelligent control module correct setup parameter automatically；Step 6：If user continues have related adjustment after amendment, the process of repeat step two to step 5 again.
- A kind of 5. smart home power-saving method based on self study as claimed in claim 4, it is characterised in that：The step 4 Also include carrying out data classification for family data, specifically include user type, electrical equipment classification, weather condition, regional characteristic, use Electricity custom, then carries out data cleansing and data analysis.
- A kind of 6. smart home power-saving method based on self study as claimed in claim 5, it is characterised in that：The data are clear Wash to remove redundant data and bad data.
- A kind of 7. smart home power-saving method based on self study as claimed in claim 6, it is characterised in that：The data point Analyse and analyzed for big data, specifically include and model foundation, model interaction are carried out using data according to user data progress smart home Parameter include ambient parameter, user preferences, weather parameters, region, electricity consumption data, using clustering method carry out data fitting, By the checking of data, continuous correction model, ensure the validity of data analysis.
- A kind of 8. smart home power-saving method based on self study as described in claim 4-7 any one, it is characterised in that： The step 2 also includes mobile data acquisition module and provides customer location and user's teleinstruction information；The step 3 is also wrapped Include household intelligent control module and the data of mobile data acquisition module are subjected to sunykatuib analysis, and combine high in the clouds calculating center and provide External information, using big data model, will be analyzed using data, and according to analysis result optimal setting scheme.
- A kind of 9. smart home power-saving method based on self study as claimed in claim 8, it is characterised in that：The step 2 In ambient conditions be temperature, sound and numerical value corresponding to humidity.
- A kind of 10. smart home power-saving method based on self study as claimed in claim 9, it is characterised in that：The step The external information that high in the clouds calculating center in three provides is region and Weather information.
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Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107958338A (en) * | 2017-12-08 | 2018-04-24 | 合肥工业大学 | Electricity consumption policy recommendation method and device, storage medium |
| CN108399700A (en) * | 2018-01-31 | 2018-08-14 | 上海乐愚智能科技有限公司 | Theft preventing method and smart machine |
| CN108416699A (en) * | 2018-04-19 | 2018-08-17 | 天津大学 | Colleges and universities personnel energy demand identification device based on face recognition technology |
| CN108492795A (en) * | 2018-02-23 | 2018-09-04 | 珠海格力电器股份有限公司 | The method and apparatus for adjusting air-conditioning display brightness |
| CN108536036A (en) * | 2018-07-11 | 2018-09-14 | 深圳市灵感智慧科技有限公司 | A kind of and associated intelligent home furnishing control method of weather information |
| CN108876006A (en) * | 2018-05-08 | 2018-11-23 | 天津大学 | User's Event tourism based on intelligent appliance end regulates and controls method |
| CN108919669A (en) * | 2018-09-11 | 2018-11-30 | 深圳和而泰数据资源与云技术有限公司 | A kind of smart home dynamic decision method, apparatus and service terminal |
| CN109361580A (en) * | 2018-10-24 | 2019-02-19 | 江西珉轩智能科技有限公司 | Background music controls equipment, cloud server and background music control system |
| CN109495355A (en) * | 2018-11-15 | 2019-03-19 | 长沙理工大学 | Wisdom home energy source router |
| CN109870919A (en) * | 2019-03-08 | 2019-06-11 | 佛山市云米电器科技有限公司 | A kind of intelligent home furnishing control method and system |
| CN111045342A (en) * | 2019-12-26 | 2020-04-21 | 宗泽 | Automatic energy-saving control platform based on cloud computing service |
| CN111147277A (en) * | 2019-11-25 | 2020-05-12 | 重庆特斯联智慧科技股份有限公司 | Community house energy saving method and system based on edge calculation |
| CN111679573A (en) * | 2020-05-13 | 2020-09-18 | 国网天津市电力公司电力科学研究院 | Household energy consumption optimization method and device for residents |
| CN112421775A (en) * | 2020-10-29 | 2021-02-26 | 国网天津市电力公司 | Local energy consumption control system based on power Internet of things and control method thereof |
| CN112666843A (en) * | 2020-12-30 | 2021-04-16 | 杭州雅观科技有限公司 | Smart home access system, access method, computer device and storage medium |
| CN113219847A (en) * | 2021-04-29 | 2021-08-06 | 安徽恒信通智能科技有限公司 | Intelligent home environment monitoring system |
| CN113867161A (en) * | 2021-09-17 | 2021-12-31 | 霍敏凯 | Intelligent home control system and control method based on big data |
| CN114019816A (en) * | 2021-11-16 | 2022-02-08 | 南京工程学院 | Cloud computing-based intelligent household energy consumption optimization method and equipment |
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| CN114615291A (en) * | 2021-12-08 | 2022-06-10 | 江苏众亿国链大数据科技有限公司 | Data acquisition method based on Internet of things |
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| CN107958338A (en) * | 2017-12-08 | 2018-04-24 | 合肥工业大学 | Electricity consumption policy recommendation method and device, storage medium |
| CN108399700A (en) * | 2018-01-31 | 2018-08-14 | 上海乐愚智能科技有限公司 | Theft preventing method and smart machine |
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| CN108416699A (en) * | 2018-04-19 | 2018-08-17 | 天津大学 | Colleges and universities personnel energy demand identification device based on face recognition technology |
| CN108876006A (en) * | 2018-05-08 | 2018-11-23 | 天津大学 | User's Event tourism based on intelligent appliance end regulates and controls method |
| CN108536036A (en) * | 2018-07-11 | 2018-09-14 | 深圳市灵感智慧科技有限公司 | A kind of and associated intelligent home furnishing control method of weather information |
| CN108919669A (en) * | 2018-09-11 | 2018-11-30 | 深圳和而泰数据资源与云技术有限公司 | A kind of smart home dynamic decision method, apparatus and service terminal |
| CN108919669B (en) * | 2018-09-11 | 2022-04-29 | 深圳和而泰数据资源与云技术有限公司 | Intelligent home dynamic decision method and device and service terminal |
| CN109361580A (en) * | 2018-10-24 | 2019-02-19 | 江西珉轩智能科技有限公司 | Background music controls equipment, cloud server and background music control system |
| CN109361580B (en) * | 2018-10-24 | 2021-11-09 | 江西珉轩智能科技有限公司 | Background music control device, cloud server and background music control system |
| CN109495355A (en) * | 2018-11-15 | 2019-03-19 | 长沙理工大学 | Wisdom home energy source router |
| CN109870919A (en) * | 2019-03-08 | 2019-06-11 | 佛山市云米电器科技有限公司 | A kind of intelligent home furnishing control method and system |
| CN111147277A (en) * | 2019-11-25 | 2020-05-12 | 重庆特斯联智慧科技股份有限公司 | Community house energy saving method and system based on edge calculation |
| CN111147277B (en) * | 2019-11-25 | 2023-04-21 | 重庆特斯联智慧科技股份有限公司 | Community house energy saving method and system based on edge calculation |
| CN111045342A (en) * | 2019-12-26 | 2020-04-21 | 宗泽 | Automatic energy-saving control platform based on cloud computing service |
| CN111679573A (en) * | 2020-05-13 | 2020-09-18 | 国网天津市电力公司电力科学研究院 | Household energy consumption optimization method and device for residents |
| CN112421775A (en) * | 2020-10-29 | 2021-02-26 | 国网天津市电力公司 | Local energy consumption control system based on power Internet of things and control method thereof |
| CN112666843A (en) * | 2020-12-30 | 2021-04-16 | 杭州雅观科技有限公司 | Smart home access system, access method, computer device and storage medium |
| CN113219847A (en) * | 2021-04-29 | 2021-08-06 | 安徽恒信通智能科技有限公司 | Intelligent home environment monitoring system |
| CN113867161A (en) * | 2021-09-17 | 2021-12-31 | 霍敏凯 | Intelligent home control system and control method based on big data |
| CN114019816A (en) * | 2021-11-16 | 2022-02-08 | 南京工程学院 | Cloud computing-based intelligent household energy consumption optimization method and equipment |
| CN114019816B (en) * | 2021-11-16 | 2023-11-14 | 南京工程学院 | Smart home energy consumption optimization method and device based on cloud computing |
| CN114265320A (en) * | 2021-12-03 | 2022-04-01 | 珠海格力电器股份有限公司 | Smart home control method and system for analyzing user habits based on deep learning |
| CN114615291A (en) * | 2021-12-08 | 2022-06-10 | 江苏众亿国链大数据科技有限公司 | Data acquisition method based on Internet of things |
| CN115268280A (en) * | 2022-05-09 | 2022-11-01 | 深圳市麦驰安防技术有限公司 | Multi-contextual-mode intelligent home control system and method |
| CN116047930A (en) * | 2023-04-03 | 2023-05-02 | 北京邮电大学 | Visual intelligent home control system and control method based on multi-terminal interaction |
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