CN104133427A - Intelligent household control method and system - Google Patents
Intelligent household control method and system Download PDFInfo
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- CN104133427A CN104133427A CN201310162672.8A CN201310162672A CN104133427A CN 104133427 A CN104133427 A CN 104133427A CN 201310162672 A CN201310162672 A CN 201310162672A CN 104133427 A CN104133427 A CN 104133427A
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Abstract
The invention provides an intelligent household control method. The method is characterized by comprising the following steps of acquiring historical data, inputting an expected objective function, outputting an intelligent household mode through carrying out expected objective function training on the historical data, and realizing control on the household according to the selected intelligent household mode. The invention also provides an intelligent household control system, which is characterized by comprising a device for acquiring the historical data, a device for inputting the expected objective function, a device for outputting the intelligent household mode through carrying out expected objective function training on the historical data, and a device for realizing control on the household according to the selected intelligent household mode.
Description
[technical field]
The present invention relates to Smart Home control field, particularly, relate to intelligent home furnishing control method and system thereof.
[background technology]
Along with the quickening of information age robot calculator processing speed and the raising of people's living standard, Smart Home has progressively been come into the daily life of people.Smart Home allows user adopt means more easily to carry out managing family equipment, and the facility of the intelligent abundant information providing and Smart Home life, comfortable and safe life are provided.On the one hand, user can pass through even internet Long-distance Control of touch-screen, telepilot, computing machine, phone, also can own set model, make multiple equipment linkages; On the other hand, in Smart Home, between various device, can communicate with one another, do not need the too much commander of resident family can automatically move yet, housed device can send to control center by running status, control center gathers data and automatically calculates optimal solution and adjusting indoor environment, thereby bring great convenience to user, duty is more efficient.
The research purport of machine learning is the learning activities that uses the computer simulation mankind, and it is that research computing machine is identified existing knowledge, obtains new knowledge, constantly improves performance and realized self perfect method.The study here means from data learning, and it includes guidance learning, without guidance learning and half guidance learning three kinds.Supervise learning, refers to the guidance learning process that result is measured.According to a stack features, result tolerance is predicted feature and result that the feature by study given data collection and result tolerance are set up forecast model and predicted and measure unknown data.It is quantitative and two kinds qualitatively that the tolerance of the result here generally has, and corresponds respectively to recurrence and classification problem in statistics.Common are guidance learning comprises: decision tree, Boosting and Bagging algorithm, artificial neural network and support vector machine etc.In without guidance learning, can only observe feature, the tolerance of coming to nothing.Now can only utilize the sample information that provides is how to organize or cluster to totally making some deduction and data of description from overall.It does not need certain target variable and training dataset, for example, and cluster analysis or Association Rule Analysis etc.Half guidance learning is: in the observed quantity having obtained, a part is to have authenticated and added the data of mark via director, is referred to as identification data; Another part observed quantity fails to identify for various reasons, is called as not identification data.What need solution is how to utilize these observed quantities and relevant knowledge that the mark of the observed quantity not identifying is made suitably and reasonably being inferred.Solve this class problem common method and be the two step paths that adopt conclusions-deduction formula, first utilize identification data to go to analyze and point out suitable general rule, recycle this rule and go deduction to draw about the mark of identification data not.Here, back is the inductive step that obtains common conclusions from special, and a rear step is the deduction step for special circumstances by universal law.It should be noted that the common less stable of performance of existing half guidance learning method, and half guidance learning technology can effectively be improved learning performance under which type of condition, remains an open question.
[summary of the invention]
At present, the control mode of Smart Home is mainly, and sets up touch-screen, touch controller in room everywhere, or sends instruction with the remote control equipment such as mobile phone and ipad, but often occur wanting controlling but do not know how to go energy-conservation, control efficiently.Obviously, people wish the really intelligence of Smart Home of oneself, needn't send concrete instruction to system, and it just can predict or judge what user will do, and so just meets user's demand.Installed after this learning system at Smart Home, computing machine can carry out self-teaching.This system is on the basis of original system manual control system, and according to user's custom in the past, memory user's operation, forms fixing pattern, and proposes more energy-conservation and comfortable pattern.
Intelligent domestic system has intellectual analysis judgement and self study, self-adaptation and accepts the function of expertise training, there is intellectuality, human features, can self study, the life characteristic of self-adaptation home owner, the moving law of family's various device, accurately monitor the equipment in household, for household, owner provides many services as far as possible.If unusual circumstance, can deal carefully with in time or report to the police.The core of realizing this function is the intelligent domestic appliance controller.This intelligent domestic appliance controller is attached on whole home automation network, has used neural network control technique, and the intelligent node of whole home network is monitored and regulated, and realizes above these functions.
The intelligent learning system core methed of native system indication is guidance learning, and taking guidance learning as basis, is downloaded and analyzed, to predict in advance in the time obtaining nonsystematic from information by network.In macroscopic aspect, native system will be realized the function of following aspect:
1, set up touch-screen, touch controller everywhere in room, or send instruction with the remote control equipment such as mobile phone and ipad, directly can control the running status of Smart Home, mainly for the treatment of the unexpected situation occurring in self study process.
2, the operation of memory user the most comfortable, and simply repeat this operation.Such as user at a time by the illuminator in room and curtain Controller as for particular state, because user's preference has continuity, this state can copy out any time afterwards, to meet the needs of user's the most comfortable.
3, according to user's operating habit in the past and life style, form the operation of fixing pattern.
4, according to user's custom in the past, forming on fixing pattern basis, form real-time system pattern, more energy-conservation and comfortable pattern is proposed.
According to an aspect of the present invention, provide a kind of intelligent home furnishing control method, it is characterized in that, comprise the following steps: obtain historical data; Input re-set target function; By historical data being carried out to the training of re-set target function, output Smart Home pattern; Realize the control to household according to selected Smart Home pattern.
Preferably, described historical data comprises one or more in input, the input of power consumption and the input of human body level of comfort of input, ambient condition of Smart Home state.
Preferably, described Smart Home pattern comprises the storage of the most comfortable operation and the artificial real-time control mode of reproduction mode, fixed mode, real-time system pattern and unexpected situation.
According to a further aspect in the invention, also provide a kind of intelligent home control system, it is characterized in that, comprise with lower device: for obtaining the device of historical data; For inputting the device of re-set target function; For the device of the training output Smart Home pattern by historical data being carried out to re-set target function; For realize the device of the control to household according to selected Smart Home pattern.
[brief description of the drawings]
Fig. 1 is illustrated according to the historical data in intelligent home control system of the present invention and obtains process flow diagram;
Fig. 2 is illustrated in the schematic diagram of Based Intelligent Control pattern being selected according in intelligent home control system of the present invention;
Fig. 3 represents according to the schematic diagram of intelligent home control system of the present invention embodiment.
[embodiment]
Fig. 1 is illustrated according to the historical data in intelligent home control system of the present invention and obtains process flow diagram.
The Real-time Collection of data mainly forms by sensor and man-machine interaction two aspects.The pre-service major embodiment of data is the aspect of two: the fuzzy data that as required sensor obtained quantize, or carry out contrary process, the quantized data obfuscation that sensor is obtained.The storage of data is mainly that pretreated typical data are stored in SD card, for the training data of fixed mode Data Source and self study.
Fig. 2 is illustrated in the schematic diagram of Based Intelligent Control pattern being selected according in intelligent home control system of the present invention.
Storage and the reproduction mode of the operation of pattern 1(the most comfortable): user records the switching sequence of current Smart Home and running status, so that any one moment needing is reproduced this state afterwards.
Pattern 2(fixed mode): rule is generally compared in user's life, has different preferences in the different moment, and under long-time statistical rule, Smart Home just can sum up this life style, proposes different patterns so.On the different time and space yardstick that this pattern can be set up: for every day, pattern after can getting up (is slowly opened bedroom illumination, toilet illumination is opened with thermoregulating system, kitchen illumination and food and drink heating system work etc.), before leaving offices pattern, night leisure patterns etc.; For having said over one year: spring pattern to winter mode, be mainly used in temperature control system in pulpit.By selection and the setting of different mode, allow user reach the state of the most comfortable.Such as user's relatively rule of life, every night user job day, 5:00 went home, and under long-time statistical rule, intelligent domestic system has been stored this life style so.User not people interrupt under the prerequisite of this operation, control system starts automatically at the 4:30 indoor temperature control system that spares, and carries out room temperature adjusting.This fixed mode formation, can allow user free from the present situation of manual control Smart Home, realizes real Based Intelligent Control.
Mode 3 (real-time system pattern): according to user's custom in the past, forming on fixing pattern basis, form real-time system pattern, and propose more energy-conservation and comfortable pattern.On the basis of pattern 2, intelligent control system can be by the indoor environmental data detecting in real time, comfort level data and the power consumption data of user feedback, calculate in real time, draw these two patterns that overall target is the highest of human comfort and user's power consumption, to reach both comfortable, energy-conservation effect again.For example interior lighting system and indoor temperature control system can be combined, to reach not only comfortable but also energy-conservation effect.In the time of winter, can in real time indoor light be broken into warm tones, give the warmer sensation of user, temperature control system can suitably reduce inner temperature of room like this, to reach more energy-conservation effect.In the time of summer, can in real time indoor light be broken into cool tone equally, give user's sensation of low temperature more, temperature control system can suitably improve inner temperature of room like this, to reach more energy-conservation effect.Using user's level of comfort and power consumption as input variable, the pattern that user is selected is further optimized, to reach more energy-conservation and comfortable effect simultaneously.
The artificial real-time control mode of the unexpected situation of pattern 4(): because people's custom is not unalterable, the generation meeting of emergency situations produces important impact to control system.In order to tackle this emergency situations, user can, by long-range mode, directly control Smart Home, and artificial opens a certain pattern or close.
Fig. 3 represents according to the schematic diagram of intelligent home control system of the present invention embodiment.By to historical data (input of the input of Smart Home state, the input of ambient condition, power consumption and the input of human body level of comfort) carry out the training of re-set target function, intelligent control system can be by the indoor environmental data detecting in real time, export optimized Smart Home pattern under this objective function, to reach both comfortable, energy-conservation effect again.The set goal function is a target function that human comfort is mutually comprehensive with power consumption.
Typical intelligent home control system has:
Embodiment 1 domestic lighting subsystem, the function that this system realizes is:
According to the brightness of the automatic brightness adjustment light of environment or turn off the light, get up and automatically open the low light level at night, when withdrawing from a room, people automatically turns off the light or people enters room and automatically turns on light.And user's custom in the past, not optimal brightness of illumination in the same time of memory user, forms fixing pattern, and proposes more energy-conservation and comfortable pattern.Manual or whole house system connecting move control has right of priority, can fault alarm.
Embodiment 2 curtain Controllers, the function that this system realizes is:
When people leaves home, automatically draw the curtain together; When people goes home, automatically open curtain; When people's rest, automatically draw the curtain together; People's WA, opens curtain automatically.According to user's custom in the past, not optimal curtain opening degree in the same time of memory user, forms fixing pattern, and proposes more energy-conservation and comfortable pattern.Manual or whole house system connecting move control has right of priority, can fault alarm.
Embodiment 3 intelligent environment climatic factor subsystems.The function realizing is:
According to the home equipments such as the temperature of indoor environment, humidity, the concentration that can suck dust content, indoor CO2 gas, temperature control air-conditioning, humidity control air-conditioning, air cleaning unit, window automatically combine air in conditioning chamber temperature, humidity, can suck the air indexs such as the concentration of dust content and indoor CO2 gas, to reach the condition that meets people living needs, create gentleness, pure and fresh, healthy living environment to family; In the time that people withdraws from a room, automatically close; In the time that people enters room, automatically open.According to user's custom in the past, the optimal environmental aspect of memory user, forms fixing pattern, and proposes more energy-conservation and comfortable pattern.Manual or whole house system interlock has right of priority, can fault alarm.
Claims (6)
1. an intelligent home furnishing control method, is characterized in that, comprises the following steps:
Obtain historical data;
Input re-set target function;
By historical data being carried out to the training of re-set target function, output Smart Home pattern;
Realize the control to household according to selected Smart Home pattern.
2. method according to claim 1, is characterized in that, described historical data comprises one or more in input, the input of power consumption and the input of human body level of comfort of input, ambient condition of Smart Home state.
3. method according to claim 1 and 2, is characterized in that, described Smart Home pattern comprises the storage of the most comfortable operation and the artificial real-time control mode of reproduction mode, fixed mode, real-time system pattern and unexpected situation.
4. an intelligent home control system, is characterized in that, comprises with lower device:
For obtaining the device of historical data;
For inputting the device of re-set target function;
For the device of the training output Smart Home pattern by historical data being carried out to re-set target function;
For realize the device of the control to household according to selected Smart Home pattern.
5. intelligent home control system according to claim 4, is characterized in that, described historical data comprises one or more in input, the input of power consumption and the input of human body level of comfort of input, ambient condition of Smart Home state.
6. intelligent home control system according to claim 4, is characterized in that, described Smart Home pattern comprises the storage of the most comfortable operation and the artificial real-time control mode of reproduction mode, fixed mode, real-time system pattern and unexpected situation.
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| CN201310162672.8A CN104133427A (en) | 2013-05-03 | 2013-05-03 | Intelligent household control method and system |
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| CN201310162672.8A CN104133427A (en) | 2013-05-03 | 2013-05-03 | Intelligent household control method and system |
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Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104503255A (en) * | 2014-12-25 | 2015-04-08 | 广东美的厨房电器制造有限公司 | Intelligent kitchen system, and control method and server thereof |
| CN104807147A (en) * | 2015-05-21 | 2015-07-29 | 京东方科技集团股份有限公司 | Controller, indoor environment regulating system and indoor environment regulation method |
| CN105072003A (en) * | 2015-07-31 | 2015-11-18 | 深圳广田智能科技有限公司 | Synchronous control system and method of smart home mode |
| CN105652677A (en) * | 2016-02-24 | 2016-06-08 | 深圳众乐智府科技有限公司 | Intelligent home control method, device and system based on user behavior analysis |
| CN105974811A (en) * | 2016-07-05 | 2016-09-28 | 无锡市华东电力设备有限公司 | Smart home control method and system |
| WO2016201790A1 (en) * | 2015-06-19 | 2016-12-22 | 宇龙计算机通信科技(深圳)有限公司 | Control method, apparatus, and system, and smart home control center device and terminal |
| CN106549833A (en) * | 2015-09-21 | 2017-03-29 | 阿里巴巴集团控股有限公司 | A kind of control method and device of intelligent home device |
| CN106909078A (en) * | 2015-12-22 | 2017-06-30 | 美的集团股份有限公司 | Home gateway and intelligent domestic system, the control method of household electrical appliance |
| CN107477772A (en) * | 2017-07-21 | 2017-12-15 | 天津大学 | House VMC control method based on indoor monitoring data |
| CN107860102A (en) * | 2017-10-18 | 2018-03-30 | 深圳市中电电力技术股份有限公司 | A kind of method and device for controlling central air-conditioning |
| 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 |
| CN108710947A (en) * | 2018-04-10 | 2018-10-26 | 杭州善居科技有限公司 | A kind of smart home machine learning system design method based on LSTM |
| CN109357352A (en) * | 2018-11-05 | 2019-02-19 | 四川长虹电器股份有限公司 | Air conditioner intelligent temperature control system and method based on Decision Tree Algorithm |
| CN109376795A (en) * | 2018-11-19 | 2019-02-22 | 四川长虹电器股份有限公司 | Air conditioner intelligent temperature control method based on Decision Tree Algorithm |
| CN109471370A (en) * | 2018-11-23 | 2019-03-15 | 珠海格力电器股份有限公司 | A kind of behavior prediction and control method based on exhaust fan operation data, system |
| CN109491253A (en) * | 2017-09-11 | 2019-03-19 | 安徽师范大学 | A kind of on-line study type individualized intelligent house system and its control method |
| CN109991868A (en) * | 2019-04-18 | 2019-07-09 | 珠海格力电器股份有限公司 | Household electric appliance control method and device |
| WO2019237596A1 (en) * | 2018-06-14 | 2019-12-19 | 苏州数言信息技术有限公司 | Scene-based intelligent lighting integrated control system and method |
| CN110598916A (en) * | 2019-08-23 | 2019-12-20 | 宁波智轩物联网科技有限公司 | Method and system for constructing user behavior model |
| CN111722549A (en) * | 2019-03-19 | 2020-09-29 | 佛山市顺德区美的电热电器制造有限公司 | Control method, device and system |
| CN112394647A (en) * | 2019-08-19 | 2021-02-23 | 中国移动通信有限公司研究院 | Control method, device and equipment of household equipment and storage medium |
| CN112731882A (en) * | 2020-12-28 | 2021-04-30 | 无锡康城被动式建筑科技有限公司 | Building comfort intelligent control device |
| CN113671847A (en) * | 2021-08-13 | 2021-11-19 | 珠海格力电器股份有限公司 | Linkage control method, system and device of intelligent household equipment and storage medium |
| WO2022057660A1 (en) * | 2020-09-16 | 2022-03-24 | International Business Machines Corporation | Smart home bubble creation |
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| CN104503255A (en) * | 2014-12-25 | 2015-04-08 | 广东美的厨房电器制造有限公司 | Intelligent kitchen system, and control method and server thereof |
| US10234162B2 (en) | 2015-05-21 | 2019-03-19 | Boe Technology Group Co., Ltd. | Controller, indoor environment adjustment system, and indoor environment adjustment method |
| CN104807147A (en) * | 2015-05-21 | 2015-07-29 | 京东方科技集团股份有限公司 | Controller, indoor environment regulating system and indoor environment regulation method |
| WO2016201790A1 (en) * | 2015-06-19 | 2016-12-22 | 宇龙计算机通信科技(深圳)有限公司 | Control method, apparatus, and system, and smart home control center device and terminal |
| CN105072003A (en) * | 2015-07-31 | 2015-11-18 | 深圳广田智能科技有限公司 | Synchronous control system and method of smart home mode |
| CN106549833A (en) * | 2015-09-21 | 2017-03-29 | 阿里巴巴集团控股有限公司 | A kind of control method and device of intelligent home device |
| CN106909078A (en) * | 2015-12-22 | 2017-06-30 | 美的集团股份有限公司 | Home gateway and intelligent domestic system, the control method of household electrical appliance |
| CN105652677A (en) * | 2016-02-24 | 2016-06-08 | 深圳众乐智府科技有限公司 | Intelligent home control method, device and system based on user behavior analysis |
| CN105652677B (en) * | 2016-02-24 | 2019-11-08 | 深圳台丰科技有限公司 | A kind of intelligent home furnishing control method based on user behavior analysis, device and system |
| CN105974811A (en) * | 2016-07-05 | 2016-09-28 | 无锡市华东电力设备有限公司 | Smart home control method and system |
| CN107477772A (en) * | 2017-07-21 | 2017-12-15 | 天津大学 | House VMC control method based on indoor monitoring data |
| CN109491253A (en) * | 2017-09-11 | 2019-03-19 | 安徽师范大学 | A kind of on-line study type individualized intelligent house system and its control method |
| CN109491253B (en) * | 2017-09-11 | 2021-12-21 | 安徽师范大学 | Online learning type personalized intelligent home system and control method thereof |
| CN107860102A (en) * | 2017-10-18 | 2018-03-30 | 深圳市中电电力技术股份有限公司 | A kind of method and device for controlling central air-conditioning |
| 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 |
| CN108710947A (en) * | 2018-04-10 | 2018-10-26 | 杭州善居科技有限公司 | A kind of smart home machine learning system design method based on LSTM |
| WO2019237596A1 (en) * | 2018-06-14 | 2019-12-19 | 苏州数言信息技术有限公司 | Scene-based intelligent lighting integrated control system and method |
| CN109357352B (en) * | 2018-11-05 | 2021-01-26 | 四川长虹电器股份有限公司 | Air conditioner intelligent temperature control system and method based on decision tree classification algorithm |
| CN109357352A (en) * | 2018-11-05 | 2019-02-19 | 四川长虹电器股份有限公司 | Air conditioner intelligent temperature control system and method based on Decision Tree Algorithm |
| CN109376795A (en) * | 2018-11-19 | 2019-02-22 | 四川长虹电器股份有限公司 | Air conditioner intelligent temperature control method based on Decision Tree Algorithm |
| CN109471370A (en) * | 2018-11-23 | 2019-03-15 | 珠海格力电器股份有限公司 | A kind of behavior prediction and control method based on exhaust fan operation data, system |
| CN109471370B (en) * | 2018-11-23 | 2020-07-10 | 珠海格力电器股份有限公司 | Behavior prediction and control method and system based on exhaust fan operation data |
| CN111722549B (en) * | 2019-03-19 | 2022-03-11 | 佛山市顺德区美的电热电器制造有限公司 | Control method, device and system |
| CN111722549A (en) * | 2019-03-19 | 2020-09-29 | 佛山市顺德区美的电热电器制造有限公司 | Control method, device and system |
| CN109991868A (en) * | 2019-04-18 | 2019-07-09 | 珠海格力电器股份有限公司 | Household electric appliance control method and device |
| CN109991868B (en) * | 2019-04-18 | 2020-11-20 | 珠海格力电器股份有限公司 | Household appliance control method and device |
| CN112394647A (en) * | 2019-08-19 | 2021-02-23 | 中国移动通信有限公司研究院 | Control method, device and equipment of household equipment and storage medium |
| CN112394647B (en) * | 2019-08-19 | 2024-04-19 | 中国移动通信有限公司研究院 | Control method, device, equipment and storage medium of household equipment |
| CN110598916A (en) * | 2019-08-23 | 2019-12-20 | 宁波智轩物联网科技有限公司 | Method and system for constructing user behavior model |
| WO2022057660A1 (en) * | 2020-09-16 | 2022-03-24 | International Business Machines Corporation | Smart home bubble creation |
| GB2614498A (en) * | 2020-09-16 | 2023-07-05 | Ibm | Smart home bubble creation |
| US11733666B2 (en) | 2020-09-16 | 2023-08-22 | International Business Machines Corporation | Smart home bubble creation |
| CN112731882A (en) * | 2020-12-28 | 2021-04-30 | 无锡康城被动式建筑科技有限公司 | Building comfort intelligent control device |
| CN113671847A (en) * | 2021-08-13 | 2021-11-19 | 珠海格力电器股份有限公司 | Linkage control method, system and device of intelligent household equipment and storage medium |
| CN115202222A (en) * | 2022-02-24 | 2022-10-18 | 山东浪潮科学研究院有限公司 | Whole house temperature control system and method |
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