CN103791591A - System for achieving intelligent energy-saving control of air conditioner based on self-adaptive learning - Google Patents
System for achieving intelligent energy-saving control of air conditioner based on self-adaptive learning Download PDFInfo
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- 238000004378 air conditioning Methods 0.000 claims abstract description 31
- 238000005265 energy consumption Methods 0.000 claims abstract description 7
- 230000003044 adaptive effect Effects 0.000 claims description 32
- 230000037081 physical activity Effects 0.000 claims description 7
- 230000008447 perception Effects 0.000 claims description 4
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- 238000004134 energy conservation Methods 0.000 description 3
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Abstract
本发明涉及一种基于自适应学习实现空调智能节能控制的系统，其中包括客户端装置；中心控制平台，用以通过所述的客户端装置接收用户指令信息并对用户操作习惯进行自适应学习；控制器装置，与被控制的空调相连接，所述的控制器装置用以接收所述的中心控制平台的控制信息对所述的空调进行控制。采用该种结构的基于自适应学习实现空调智能节能控制的系统，可以实现用户在室内及其他任何地点通过客户端装置可以随时随地控制空调设备，通过自适应学习功能可以按照用户设定习惯对温度进行自动调节控制，通过红外传感器检测室内没有人体活动时，切换到无人控制模式，很好地降低了设备能耗，便于用户使用，具有更广泛的应用范围。
The invention relates to a system for realizing intelligent energy-saving control of an air conditioner based on self-adaptive learning, which includes a client device; a central control platform for receiving user instruction information through the client device and performing self-adaptive learning on user operating habits; The controller device is connected with the air conditioner to be controlled, and the controller device is used to receive control information from the central control platform to control the air conditioner. The system based on self-adaptive learning to realize intelligent energy-saving control of air-conditioning with this structure can realize that users can control air-conditioning equipment at any time and anywhere through the client device indoors or anywhere else. Carry out automatic adjustment control, when there is no human activity in the room detected by the infrared sensor, switch to the unmanned control mode, which greatly reduces the energy consumption of the equipment, is convenient for users to use, and has a wider range of applications.
Description
Technical field
The present invention relates to technical field of the computer network, relate in particular to automation control area, specifically refer to a kind of system that realizes air conditioner intelligent Energy Saving Control based on adaptive learning.
Background technology
Existing air conditioner temperature controller is mainly write temperature control instruction by Programmable or by design temperature threshold value, temperature is regulated.
Writing temperature control instruction by Programmable needs user to possess the professional knowledge of certain automation control aspect, affects user and uses.Even set by professional engineer in installation process, in the time that scene change need to be revised, can not make in time corresponding adjustment.By temperature sensor perception environment temperature, and design temperature regulates threshold value mode that temperature is regulated, although only need design temperature threshold value, but be inconvenient to arrange or forget when threshold value is set some sight user, can cause unnecessary energy resource consumption, do not reach Based Intelligent Control, the effect of energy-saving and emission-reduction.
Summary of the invention
The object of the invention is to overcome the shortcoming of above-mentioned prior art, provide a kind of can realize by adaptive learning function can according to user set custom to temperature automatically adjust control, be switched to when thering is no physical activity in infrared sensor sensing chamber unmanned control model, well reduced equipment energy consumption, user-friendly, there is range of application widely realize the system of air conditioner intelligent Energy Saving Control based on adaptive learning.
To achieve these goals, the system that realizes air conditioner intelligent Energy Saving Control based on adaptive learning of the present invention has following formation:
The system that should realize based on adaptive learning air conditioner intelligent Energy Saving Control, its main feature is that described system comprises:
Client terminal device;
Center control platform, receives user instruction information and user operation habits is carried out to adaptive learning in order to the client terminal device by described;
Control device, is connected with controlled air-conditioning, and described control device is controlled described air-conditioning in order to the control information that receives described center control platform.
Preferably, described center control platform comprises:
Temperature Setting module, receives user's desired temperature and is sent to described control device in order to the client terminal device by described;
Adaptive learning modules, in order to gather that user carries out user habit self study to the set information of air-conditioning and after study completes the order of automatic generation Based Intelligent Control be sent to described control device.
More preferably, described center control platform also comprises:
Control platform information display module, in order to show the Energy-saving Situation after consumption information and the Self-learning control of current center control platform adaptive learning information, current air-conditioning.
More preferably, described center control platform also comprises:
Pattern setting module, receives the setting of the operational mode of user to air-conditioning and is sent to described control device in order to the client terminal device by described.
Further, described control device comprises:
Air-conditioning control module, described air-conditioning control module is in order to control air-conditioning according to the control instruction of described center control platform;
Control device information display module, in order to show control information and the facility information of air-conditioning.
Again further, described control device also comprises environment sensing module, and described environment sensing module comprises:
Temperature sensor, shows in order to testing environment temperature information and by described control device information display module;
Infrared sensor, has the switching of people's control model and unmanned control model in order to the physical activity information detecting is sent to described pattern setting module.
Preferably, described client terminal device is PC, mobile phone or panel computer.
Preferably, described control device is connected with described center control platform by Wifi, and described client terminal device communicates by Http agreement and described center control platform.
Adopt and realized the system of air conditioner intelligent Energy Saving Control based on adaptive learning in this invention, there is following beneficial effect:
Intelligent energy-saving control system based on self study of the present invention can allow user control air-conditioning equipment in indoor and other any places at any time, everywhere by terminal, is user-friendly to; By adaptive learning function, the setting sight in user's a period of time is carried out to self study, after self study completes, can set custom to the temperature control that automatically adjusts according to user, not only user-friendly, and also more energy-conservation; Facilitate user to carry out temperature adjusting by the temperature sensor sense ambient temperature carrying, when thering is no physical activity in infrared sensor sensing chamber, be switched to unmanned control model, can not carry out current self study temp-controled mode, well reduced equipment energy consumption; User can check equipment energy consumption information and energy-saving information by terminal, and the progress of current self study and control model situation, facilitates user to adjust setting sight in time.
Accompanying drawing explanation
Fig. 1 is the structural representation of realizing the system of air conditioner intelligent Energy Saving Control based on adaptive learning of the present invention.
The specific embodiment
In order more clearly to describe technology contents of the present invention, conduct further description below in conjunction with specific embodiment.
For above-mentioned defect, a kind of intelligent energy-saving control system based on adaptive learning is proposed.This energy-saving control system is with controlling platform, temperature sensor, infrared sensor and Wifi module.By temperature sensor, temperature information is around passed through to Wifi module access to LAN, user can be by terminal as computer, mobile phone, and the equipment such as panel computer check to these information the trip temperature setup control of going forward side by side.Control platform by gathering the control custom of user's design temperature, and by adaptive and learning system, user habit is carried out to intelligence learning, after study completes, can carry out Based Intelligent Control to equipment according to user habit, improve the convenience that user uses.By infrared sensor perception physical activity around, can automatically open, closing device, further realize green energy conservation.
As shown in Figure 1, a kind of intelligent energy-saving control system based on adaptive learning, comprises center control platform, control device, client terminal device.Wherein, center control platform operates on client terminal device, for receiving user instruction information and user operation habits being carried out to adaptive learning, sends to control device to control air-conditioning equipment instruction; Control device is connected with air-conditioning equipment, and receiving center control platform is controlled air-conditioning.Client terminal device is logined center control platform by browser and is controlled and check, center control platform is sent to control device by Wifi by control instruction.
Described center control platform comprises Temperature Setting module, adaptive learning modules, and center control platform information display module, pattern setting module, wherein:
Temperature Setting module, for receiving user's desired temperature, is carried out temperature control according to this setting value to air-conditioning.User can control platform by client terminal device Operation Centre and carry out Temperature Setting, also can set by the display module operation Control-Menu item of control device.
Adaptive learning modules is used for user's Temperature Setting situation to carry out self study, thereby air-conditioning equipment is carried out to Based Intelligent Control.Adaptive learning modules carries out user habit study by the set information and the setting-up time that gather user's temperature, filters out some the extreme setting situations in assignment procedure simultaneously.After study completes, can move according to user habit automatic control equipment.User need carry out Temperature Setting to the sight of demand within a period of time, and adaptive learning modules can carry out behavior learning automatically.
Center control platform information display module is used for showing adaptive learning information and relevant consumption information.Can understand current adaptive learning modules study schedule by information display module user, and the user to set information of current study, facilitate user to carry out the adjustment of study situation.User can also understand the Energy-saving Situation after consumption information and the Self-learning control of current device by information display module.
Pattern setting module, for air-conditioning equipment refrigeration, heating mode are switched, manually, is automatically set unmanned pattern switching and is set.Set item by center control platform or the center control platform information display module pattern that enters, can carry out open and close to air-conditioning equipment, freeze, heat state switching; Also can select manual, automatic mode detection unmanned state.If select manual mode to carry out unmanned pattern, control system can not carried out self study Temperature Setting scene; If selection automatic mode, control system is detected in certain hour and is not had after human body active situation by the environment sensing module in control device, can automatically enter unmanned pattern control.
Described control device comprises air-conditioning control module, control device information display module, environment sensing module, network communication module.Wherein:
Air-conditioning control module, for carrying out switch and Temperature Setting control to air-conditioning equipment.Each control line of air-conditioning equipment is connected with control line corresponding in air-conditioning control module, just can control air-conditioning equipment by relevant control instruction.
Control device information display module is LCD MODULE, for showing relevant control information and facility information.
Environment sensing module comprises temperature sensor, infrared sensor.Temperature sensor shows the ambient temperature information of detection by control device information display module; Infrared sensor is passed to pattern setting module by the physical activity information of detection and is carried out unmanned control mode switch.
Network communication module comprises Wifi module, and control device is connected with outer net by LAN router.
Described client terminal device can be the mobile devices such as PC, mobile phone, panel computer, controls platform air-conditioning equipment is controlled by Operation Centre.
Adopt and realized the system of air conditioner intelligent Energy Saving Control based on adaptive learning in this invention, there is following beneficial effect:
Intelligent energy-saving control system based on self study of the present invention can allow user control air-conditioning equipment in indoor and other any places at any time, everywhere by terminal, is user-friendly to; By adaptive learning function, the setting sight in user's a period of time is carried out to self study, after self study completes, can set custom to the temperature control that automatically adjusts according to user, not only user-friendly, and also more energy-conservation; Facilitate user to carry out temperature adjusting by the temperature sensor sense ambient temperature carrying, when thering is no physical activity in infrared sensor sensing chamber, be switched to unmanned control model, can not carry out current self study temp-controled mode, well reduced equipment energy consumption; User can check equipment energy consumption information and energy-saving information by terminal, and the progress of current self study and control model situation, facilitates user to adjust setting sight in time.
In this description, the present invention is described with reference to its specific embodiment.But, still can make various modifications and conversion obviously and not deviate from the spirit and scope of the present invention.Therefore, description and accompanying drawing are regarded in an illustrative, rather than a restrictive.
Claims (8)
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105135605A (en) * | 2015-08-14 | 2015-12-09 | 江苏轩博电子科技有限公司 | Dual-channel internet-of-things air conditioner controller capable of achieving remote control and local control |
| CN105137780A (en) * | 2015-07-31 | 2015-12-09 | 郝居杰 | Customizable control method and system for smart home equipment |
| CN105242263A (en) * | 2015-09-28 | 2016-01-13 | 中国科学院上海微系统与信息技术研究所 | Vehicle existence detection apparatus and method |
| CN105353794A (en) * | 2015-11-05 | 2016-02-24 | 上海应用技术学院 | Embedded multifunctional temperature control system and control method |
| CN105527848A (en) * | 2015-12-03 | 2016-04-27 | 珠海格力电器股份有限公司 | Communication apparatus and method of controlling the same |
| CN105910232A (en) * | 2016-04-29 | 2016-08-31 | 广东美的制冷设备有限公司 | Air conditioner control method, system and air conditioner based on neighboring air conditioner setting learning |
| CN106369774A (en) * | 2016-11-29 | 2017-02-01 | 广州英码信息科技有限公司 | Method for intelligently controlling new fan and air conditioner |
| CN104697114B (en) * | 2015-03-06 | 2017-07-04 | 广东美的制冷设备有限公司 | A kind of air conditioning control method and device |
| CN108662728A (en) * | 2017-03-27 | 2018-10-16 | 松下知识产权经营株式会社 | Information processing method, information processing unit and program |
| CN109186047A (en) * | 2018-09-29 | 2019-01-11 | 上海与德科技有限公司 | A kind of intelligent control method, intelligent controlling device, electronic equipment and storage medium |
| CN110513765A (en) * | 2019-08-26 | 2019-11-29 | 浙江互融智能科技有限公司 | Intelligent constant-temperature system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104697114B (en) * | 2015-03-06 | 2017-07-04 | 广东美的制冷设备有限公司 | A kind of air conditioning control method and device |
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| CN105353794A (en) * | 2015-11-05 | 2016-02-24 | 上海应用技术学院 | Embedded multifunctional temperature control system and control method |
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| CN105910232A (en) * | 2016-04-29 | 2016-08-31 | 广东美的制冷设备有限公司 | Air conditioner control method, system and air conditioner based on neighboring air conditioner setting learning |
| CN106369774A (en) * | 2016-11-29 | 2017-02-01 | 广州英码信息科技有限公司 | Method for intelligently controlling new fan and air conditioner |
| CN106369774B (en) * | 2016-11-29 | 2019-03-19 | 广州英码信息科技有限公司 | A kind of method of intelligent control new blower and air-conditioning |
| CN108662728A (en) * | 2017-03-27 | 2018-10-16 | 松下知识产权经营株式会社 | Information processing method, information processing unit and program |
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| CN109186047A (en) * | 2018-09-29 | 2019-01-11 | 上海与德科技有限公司 | A kind of intelligent control method, intelligent controlling device, electronic equipment and storage medium |
| CN110513765A (en) * | 2019-08-26 | 2019-11-29 | 浙江互融智能科技有限公司 | Intelligent constant-temperature system |
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Application publication date: 20140514 |