CN105333572A - Intelligent air conditioner control system and method based on big data - Google Patents
Intelligent air conditioner control system and method based on big data Download PDFInfo
- Publication number
- CN105333572A CN105333572A CN201510769235.1A CN201510769235A CN105333572A CN 105333572 A CN105333572 A CN 105333572A CN 201510769235 A CN201510769235 A CN 201510769235A CN 105333572 A CN105333572 A CN 105333572A
- Authority
- CN
- China
- Prior art keywords
- temperature
- cloud server
- room conditioning
- indoor
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Signal Processing (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses an intelligent air conditioner control system and method based on big data and particularly relates to an application of big data and cloud computing to household appliance and home furnishing management. According to the intelligent air conditioner control system, a plurality of temperature monitoring points are distributed in a city, and then, collected temperature information is uploaded to a cloud server. The server analyzes the temperature data, then computes the set temperature of an indoor air conditioner by an algorithm, and gives the optimal temperature value. The current indoor temperature collected by the air conditioner is uploaded to the cloud server, the server computes the optimal air speed of the air conditioner according to the optimal temperature and the indoor temperature and uploads the collected data in real time, the cloud server also changes the optimal temperature and air speed at any moment through computing, and the indoor is always kept in the optimal environment.
Description
Technical field
The present invention relates to the large data fields of computer, be specifically related to utilize large data and cloud computing to come managing electrical household appliances, household, specifically a kind of Intelligent air conditioner control system based on large data and method.
Background technology
Large data analysis, compared to traditional data warehouse applications, has the features such as data volume is large, query analysis is complicated.4 " V " of large data, feature has four levels in other words: the first, and (Volume) data scale of construction is huge, from TB rank, rises to PB rank; The second, (Variety) data type is various, such as network log, video, picture, geographical location information etc.; 3rd, (Velocity) processing speed is fast, and 1 second law, can obtain the information of high value fast from various types of data, and this point is also be essentially different with traditional data mining technology; Four, Value(value density is low), as long as Appropriate application data carry out correctly, accurately analyzing to it, very high Value repay will be brought.
Cloud computing (cloudcomputing) is the increase of related service based on internet, use and delivery mode, is usually directed to provide dynamically easily expansion by internet and is often virtualized resource.Cloud is the one metaphor saying of network, internet, and cloud computing even has the operational capability of 10 TFlops per second, and having so powerful computing capability can simulated-nuclear explosion, Prediction of Climate Change and market trend.User can pass through the mode access data centers such as computer, notebook, mobile phone, carries out computing by the demand of oneself.
Summary of the invention
The present invention is directed to the weak point of current needs and prior art development, a kind of Intelligent air conditioner control system based on large data and method are provided.
A kind of Intelligent air conditioner control system based on large data of the present invention and method, the technical scheme solving the problems of the technologies described above employing is as follows: described Intelligent air conditioner control system, mainly comprise some temperature monitorings point, cloud server and room conditioning, described temperature monitoring point is distributed in city, be applicable to the outer temperature information of collecting chamber, described temperature monitoring point is connected by network with cloud server, can upload collected outdoor temperature data to cloud server; Described room conditioning can collect current indoor temperature information, and room conditioning and cloud server carry out network is connected, and can upload collected indoor temperature information to cloud server; Described cloud server can receive the temperature information that temperature monitoring point is uploaded, and the indoor temperature information that room conditioning is uploaded, described cloud server gathers and analyzes these temperature informations, calculate best design temperature and the wind speed of room conditioning, best design temperature and wind speed information are returned to room conditioning simultaneously.
Preferably, described cloud server gathers the outdoor temperature data that also analysis temperature monitoring point is uploaded, and is calculated the best design temperature of room conditioning by algorithm.
Preferably, described room conditioning is connected with cloud server by WIFI or GPRS two kinds of modes.
Preferably, described room conditioning is collecting chamber humidity also, and indoor humidity information is uploaded to cloud server, and cloud server, according to current indoor temperature, indoor humidity, judges whether described room conditioning uses dehumidification function.
A kind of intelligent air-conditioner control method based on large data, by multiple temperature detecting point that distributes in city, the outer temperature information of described temperature detecting point collecting chamber is also uploaded to cloud server, then cloud server gather and analysis room outside temperature data, calculated the best design temperature of room conditioning by algorithm; Meanwhile, room conditioning collects indoor temperature, humidity information be uploaded to cloud server, and cloud server calculates the best wind speed setting of room conditioning according to the best design temperature of room conditioning, indoor temperature and humidity information; Finally, best design temperature, best wind speed setting information are returned to room conditioning by cloud server, and indoor are remained in suitable environment always.
Preferably, room conditioning is connected with cloud server by WIFI or GPRS two kinds of modes.
A kind of Intelligent air conditioner control system based on large data of the present invention and method, the beneficial effect compared with prior art had is: the present invention completes the Based Intelligent Control of air-conditioning by the calculating of cloud server, make indoor remain in optimum temperature and humidity environment always, better effect is obtained than existing air-conditioning, and by cloud server Based Intelligent Control, decrease and the loaded down with trivial details of air-conditioning is artificially set, make the life of people more convenient, comfortable; Further, this intelligence system possess skills advanced person, design ingenious, the feature such as be easy to implement, and has wide usage space and prospect.
figure of description
Accompanying drawing 1: be the operating diagram of described intelligent air-conditioning system.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearly understand, below in conjunction with specific embodiment, a kind of Intelligent air conditioner control system based on large data of the present invention and method are further described.
The present invention proposes a kind of Intelligent air conditioner control system based on large data, by putting multiple temperature monitoring point at city lining, gathers outdoor temperature information by these temperature monitoring points, and by these temperature data uploading to cloud server; Gathered by cloud server and analyze these temperature datas, and calculating the design temperature of room conditioning by algorithm, providing optimum temperature value; Meanwhile, gather current indoor temperature by room conditioning and be uploaded to cloud server, cloud server calculates the best wind speed of air-conditioning according to optimum temperature and indoor temperature; Cloud server calculating is complete returns air speed data and temperature data to room conditioning, and indoor are remained in suitable environment always.
Embodiment:
A kind of Intelligent air conditioner control system based on large data described in the present embodiment, mainly comprise some temperature monitorings point, cloud server and room conditioning, described temperature monitoring point is distributed in city, be applicable to the outer temperature information of collecting chamber, described temperature monitoring point carries out network with cloud server and is connected, and can upload collected outdoor temperature data to cloud server; Described room conditioning is applicable to collect current indoor temperature information, and room conditioning and cloud server carry out network is connected, and can upload collected indoor temperature information to cloud server; Described cloud server can receive the temperature information data that temperature monitoring point is uploaded, and the indoor temperature information that room conditioning is uploaded, and described cloud server gathers and analyzes these temperature informations, calculates the best design temperature of room conditioning with wind speed.
In Intelligent air conditioner control system described in the present embodiment, described cloud server gathers the outdoor temperature data that also analysis temperature monitoring point is uploaded, and is calculated the best design temperature of room conditioning by algorithm.The course of work of this Intelligent air conditioner control system as shown in Figure 1.
In Intelligent air conditioner control system described in the present embodiment, described room conditioning is connected with cloud server by WIFI or GPRS two kinds of modes.Described cloud server calculates the best wind speed setting of room conditioning according to the best design temperature of room conditioning, indoor temperature; The information back such as best design temperature, best wind speed setting to room conditioning, make room conditioning can arrange optimum temperature and best wind speed by described cloud server.
In addition, described room conditioning is collecting chamber humidity also, and indoor humidity information is uploaded to cloud server, and cloud server, according to current indoor temperature, indoor humidity, judges whether described room conditioning uses dehumidification function.
Adopt Intelligent air conditioner control system described in the present embodiment, the outdoor temperature data monitored are uploaded to cloud server by described temperature monitoring point in real time, simultaneously, the indoor temperature collected, humidity data are uploaded to cloud server by described room conditioning in real time, and cloud server also changes optimum temperature and wind speed by calculating at any time, indoor are remained in suitable environment always.
By the described Intelligent air conditioner control system based on large data, propose a kind of intelligent air-conditioner control method based on large data, by multiple temperature detecting point that distributes in city, the outer temperature information of these temperature detecting point collecting chambers, and by the outdoor temperature data upload collected to cloud server, then cloud server gather and analysis room outside temperature data, calculated the best design temperature of room conditioning by algorithm; Simultaneously, room conditioning is connected with cloud server by WIFI or GPRS two kinds of modes, the indoor temperature collected, humidity information are uploaded to cloud server by room conditioning, cloud server calculates the best wind speed of room conditioning according to the best design temperature of room conditioning, indoor temperature and humidity information, and judges whether to use dehumidification function; Finally, the information such as best design temperature, best wind speed are returned to room conditioning by cloud server.
Intelligent air-conditioner control method described in the present embodiment, be distributed in the multiple temperature detecting point in incity, city and upload collected outdoor temperature information to cloud server in real time, room conditioning is also real-time uploads collected indoor temperature, humidity information to cloud server, cloud server also changes best design temperature and wind speed by calculating at any time simultaneously, and at any time best design temperature and wind speed information are returned to room conditioning, indoor are remained in suitable environment always.
Above-mentioned detailed description of the invention is only concrete case of the present invention; scope of patent protection of the present invention includes but not limited to above-mentioned detailed description of the invention; any claims according to the invention and any person of an ordinary skill in the technical field to its suitable change done or replacement, all should fall into scope of patent protection of the present invention.
Claims (6)
1. the Intelligent air conditioner control system based on large data, it is characterized in that, mainly comprise some temperature monitorings point, cloud server and room conditioning, described temperature monitoring point is distributed in city, be applicable to the outer temperature information of collecting chamber, described temperature monitoring point is connected by network with cloud server, can upload collected outdoor temperature data to cloud server; Described room conditioning can collect current indoor temperature information, and room conditioning and cloud server carry out network is connected, and can upload collected indoor temperature information to cloud server; Described cloud server can receive the temperature information that temperature monitoring point is uploaded, and the indoor temperature information that room conditioning is uploaded, described cloud server gathers and analyzes these temperature informations, calculate best design temperature and the wind speed of room conditioning, best design temperature and wind speed information are returned to room conditioning simultaneously.
2. a kind of Intelligent air conditioner control system based on large data according to claim 1, is characterized in that, described cloud server gathers and the outdoor temperature data uploaded of analysis temperature monitoring point, is calculated the best design temperature of room conditioning by algorithm.
3. a kind of Intelligent air conditioner control system based on large data according to claim 2, is characterized in that, described room conditioning is connected with cloud server by WIFI or GPRS two kinds of modes.
4. a kind of Intelligent air conditioner control system based on large data according to claim 3, it is characterized in that, described room conditioning is collecting chamber humidity also, and indoor humidity information is uploaded to cloud server, cloud server, according to current indoor temperature, indoor humidity, judges whether described room conditioning uses dehumidification function.
5. the intelligent air-conditioner control method based on large data, it is characterized in that, by multiple temperature detecting point that distributes in city, the outer temperature information of described temperature detecting point collecting chamber is also uploaded to cloud server, then cloud server gather and analysis room outside temperature data, calculated the best design temperature of room conditioning by algorithm; Meanwhile, room conditioning collects indoor temperature, humidity information be uploaded to cloud server, and cloud server calculates the best wind speed setting of room conditioning according to the best design temperature of room conditioning, indoor temperature and humidity information; Finally, best design temperature, best wind speed setting information are returned to room conditioning by cloud server, and indoor are remained in suitable environment always.
6. a kind of intelligent air-conditioner control method based on large data according to claim 5, is characterized in that, room conditioning is connected with cloud server by WIFI or GPRS two kinds of modes.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510769235.1A CN105333572A (en) | 2015-11-12 | 2015-11-12 | Intelligent air conditioner control system and method based on big data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510769235.1A CN105333572A (en) | 2015-11-12 | 2015-11-12 | Intelligent air conditioner control system and method based on big data |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105333572A true CN105333572A (en) | 2016-02-17 |
Family
ID=55284245
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510769235.1A Pending CN105333572A (en) | 2015-11-12 | 2015-11-12 | Intelligent air conditioner control system and method based on big data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105333572A (en) |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105827716A (en) * | 2016-04-18 | 2016-08-03 | 苏州寅初信息科技有限公司 | LED advertisement screen control system based on big data |
CN105890117A (en) * | 2016-04-28 | 2016-08-24 | 北京小米移动软件有限公司 | Method and device for controlling air conditioner and server |
CN105938327A (en) * | 2016-06-28 | 2016-09-14 | 柒贰零(北京)健康科技有限公司 | Distributed smart home control system and method |
CN106091255A (en) * | 2016-06-16 | 2016-11-09 | 安庆市银瑞商贸有限公司 | A kind of domestic air conditioner intelligent temperature-controlling system |
CN106288233A (en) * | 2016-09-29 | 2017-01-04 | 青岛海信日立空调系统有限公司 | A kind of air-conditioning diagnosis and debugging system |
CN106500272A (en) * | 2016-11-09 | 2017-03-15 | 四川长虹电器股份有限公司 | Wired home air handling system based on shared data platform |
CN107390521A (en) * | 2017-06-27 | 2017-11-24 | 西安建筑科技大学 | The method and test platform that a kind of optimal measuring point of air-conditioning system indoor temperature is asked for |
CN108151244A (en) * | 2017-12-21 | 2018-06-12 | 重庆金鑫科技产业发展有限公司 | A kind of air-conditioning temperature control panel and system |
CN108302703A (en) * | 2018-01-18 | 2018-07-20 | 广东美的制冷设备有限公司 | Air quality management method, system and computer readable storage medium |
CN109373526A (en) * | 2018-10-08 | 2019-02-22 | 青岛海尔空调电子有限公司 | The method, apparatus and computer storage medium that air-conditioning Outdoor Air Parameters determine |
CN110230866A (en) * | 2019-06-11 | 2019-09-13 | 陕西大疆电力科技有限公司 | One kind being used for indoor temperature and humidity intelligent control system |
CN110940028A (en) * | 2018-09-21 | 2020-03-31 | 珠海格力电器股份有限公司 | Air conditioner air supply control method and device, storage medium and processor |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101493691A (en) * | 2008-01-24 | 2009-07-29 | 中华电信股份有限公司 | Air conditioning equipment quening regulate and control management system |
EP2169328A2 (en) * | 2008-09-30 | 2010-03-31 | Hitachi Plant Technologies, Ltd. | Air-conditioning control system and air-conditioning control method |
WO2012103014A2 (en) * | 2011-01-26 | 2012-08-02 | Commscope, Inc. Of North Carolina | Enclosure and method of cooling same using ambient air |
CN102865647A (en) * | 2012-09-18 | 2013-01-09 | 广东志高空调有限公司 | Cloud air conditioner with cloud adaption function based on cloud computing technology and cloud adaption method thereof |
CN103234254A (en) * | 2013-04-12 | 2013-08-07 | 惠州Tcl家电集团有限公司 | Server-based method for optimizing performance parameters of air conditioner, air conditioner and server |
CN203132059U (en) * | 2013-02-17 | 2013-08-14 | 海尔集团公司 | Control system of air conditioner |
CN103292424A (en) * | 2013-07-05 | 2013-09-11 | 上海汉乾信息科技发展有限公司 | Device and method for controlling energy efficiency operation mode of air conditioner |
-
2015
- 2015-11-12 CN CN201510769235.1A patent/CN105333572A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101493691A (en) * | 2008-01-24 | 2009-07-29 | 中华电信股份有限公司 | Air conditioning equipment quening regulate and control management system |
EP2169328A2 (en) * | 2008-09-30 | 2010-03-31 | Hitachi Plant Technologies, Ltd. | Air-conditioning control system and air-conditioning control method |
WO2012103014A2 (en) * | 2011-01-26 | 2012-08-02 | Commscope, Inc. Of North Carolina | Enclosure and method of cooling same using ambient air |
CN102865647A (en) * | 2012-09-18 | 2013-01-09 | 广东志高空调有限公司 | Cloud air conditioner with cloud adaption function based on cloud computing technology and cloud adaption method thereof |
CN203132059U (en) * | 2013-02-17 | 2013-08-14 | 海尔集团公司 | Control system of air conditioner |
CN103234254A (en) * | 2013-04-12 | 2013-08-07 | 惠州Tcl家电集团有限公司 | Server-based method for optimizing performance parameters of air conditioner, air conditioner and server |
CN103292424A (en) * | 2013-07-05 | 2013-09-11 | 上海汉乾信息科技发展有限公司 | Device and method for controlling energy efficiency operation mode of air conditioner |
Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105827716A (en) * | 2016-04-18 | 2016-08-03 | 苏州寅初信息科技有限公司 | LED advertisement screen control system based on big data |
CN105890117A (en) * | 2016-04-28 | 2016-08-24 | 北京小米移动软件有限公司 | Method and device for controlling air conditioner and server |
CN106091255A (en) * | 2016-06-16 | 2016-11-09 | 安庆市银瑞商贸有限公司 | A kind of domestic air conditioner intelligent temperature-controlling system |
CN105938327A (en) * | 2016-06-28 | 2016-09-14 | 柒贰零(北京)健康科技有限公司 | Distributed smart home control system and method |
CN106288233A (en) * | 2016-09-29 | 2017-01-04 | 青岛海信日立空调系统有限公司 | A kind of air-conditioning diagnosis and debugging system |
CN106500272A (en) * | 2016-11-09 | 2017-03-15 | 四川长虹电器股份有限公司 | Wired home air handling system based on shared data platform |
CN107390521A (en) * | 2017-06-27 | 2017-11-24 | 西安建筑科技大学 | The method and test platform that a kind of optimal measuring point of air-conditioning system indoor temperature is asked for |
CN107390521B (en) * | 2017-06-27 | 2020-12-25 | 西安建筑科技大学 | Method for calculating optimal indoor temperature measuring point of air conditioning system and test platform |
CN108151244A (en) * | 2017-12-21 | 2018-06-12 | 重庆金鑫科技产业发展有限公司 | A kind of air-conditioning temperature control panel and system |
CN108302703A (en) * | 2018-01-18 | 2018-07-20 | 广东美的制冷设备有限公司 | Air quality management method, system and computer readable storage medium |
CN108302703B (en) * | 2018-01-18 | 2020-04-21 | 广东美的制冷设备有限公司 | Air quality management method, system and computer readable storage medium |
CN110940028A (en) * | 2018-09-21 | 2020-03-31 | 珠海格力电器股份有限公司 | Air conditioner air supply control method and device, storage medium and processor |
CN110940028B (en) * | 2018-09-21 | 2021-04-09 | 珠海格力电器股份有限公司 | Air conditioner air supply control method and device, storage medium and processor |
CN109373526A (en) * | 2018-10-08 | 2019-02-22 | 青岛海尔空调电子有限公司 | The method, apparatus and computer storage medium that air-conditioning Outdoor Air Parameters determine |
CN110230866A (en) * | 2019-06-11 | 2019-09-13 | 陕西大疆电力科技有限公司 | One kind being used for indoor temperature and humidity intelligent control system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105333572A (en) | Intelligent air conditioner control system and method based on big data | |
US20200393860A1 (en) | Optimization of energy use through model-based simulations | |
US20170219241A1 (en) | Data Center Infrastructure Management (DCIM) system comprising predictive analytics | |
Wu et al. | Residential air-conditioner usage in China and efficiency standardization | |
KR101762061B1 (en) | System and method for predicting energy consumption based on cloud | |
CN103557577B (en) | Based on air-conditioning system and the air conditioning control method of camera | |
CN102444958A (en) | Video people stream statistics-based fresh air system and energy-saving control method thereof | |
CN104122819A (en) | User habit based intelligent household electricity utilization method and system thereof | |
CN108036468B (en) | Aggregation control method for air conditioning system | |
CN109872059B (en) | Quantitative evaluation method for demand response dynamic potential of residential air conditioner load group | |
CN106705381B (en) | Energy consumption prediction technique and prediction meanss based on air-conditioning | |
Song et al. | An IoT-based smart controlling system of air conditioner for high energy efficiency | |
CN108870652B (en) | Air conditioner refrigeration control method and device and air conditioner | |
US11906180B1 (en) | Data center management systems and methods for compute density efficiency measurements | |
WO2014084941A1 (en) | Analytics for optimizing usage of cooling subsystems | |
CN105514993A (en) | Power load decomposition method and power load decomposition device | |
CN103513099A (en) | Method and device for air-conditioner power consumption processing | |
CN204757267U (en) | Central air conditioning efficiency monitoring system | |
CN112665143A (en) | Method and equipment for intelligently regulating and controlling frequency conversion strategy based on deep learning | |
CN202870163U (en) | Device and system for air-conditioner electricity consumption processing | |
CN103148559A (en) | Method and device for controlling air conditioner and air conditioner | |
KR102081425B1 (en) | Energy-based comfort index analysis system based on user satisfaction and method thereof | |
KR20160097071A (en) | Apparatus and Method for Managing Energy of Public Residence using Social Network | |
CN112212477A (en) | Intelligent control system and intelligent control method for air conditioner energy efficiency of AIoT data center | |
CN101672510B (en) | Method for simulating and monitoring optimal operation of air-conditioning system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160217 |
|
RJ01 | Rejection of invention patent application after publication |