CN2215091Y - Intelligent air conditioner controller based on nervous net and vague logic - Google Patents
Intelligent air conditioner controller based on nervous net and vague logic Download PDFInfo
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- CN2215091Y CN2215091Y CN 94216957 CN94216957U CN2215091Y CN 2215091 Y CN2215091 Y CN 2215091Y CN 94216957 CN94216957 CN 94216957 CN 94216957 U CN94216957 U CN 94216957U CN 2215091 Y CN2215091 Y CN 2215091Y
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Abstract
The utility model relates to an intelligent air conditioner controller based on nervous net and vague logic, belonging to the technical field of automatic control. The air-conditioner controller is mainly composed of an indoor sensor, an outdoor sensor, a keyboard and display circuit, a main control unit, an indoor-outdoor driving mechanism, a frequency governor of an air conditioning compressor, etc. After the controller provided by the utility model automatically detects the sensor signal (activity amount, clothes wearing amount, humiture, etc.), the PMV value is automatically predicted by an artificial neural network, and the frequency of the frequency governor, the air volume and wind direction of an indoor wind machine, etc. are controlled according to the technique of vague logic control to realize an optimal control of the degree of comfort for human body.
Description
The utility model relates to a kind of intelligent air condition controller based on neutral net and fuzzy logic.Belong to the automatic control technology field.
The control method of room air conditioner has progressively turned to Based Intelligent Control based on micro computer from mechanical radiator valve.At present, it is the microcomputerized control of target that domestic room air conditioner control technology has generally adopted with the thermostatic control, and also progressively strides forward to the fuzzy control direction on intelligence control method.But along with the fast development of Modern Transducer Technology and intelligent control technology, the control target of air-conditioner controller has progressively turned to human comfort PMV(ISO-7730) be the control of target.But now, the domestic unsteady flow amount technology that also lacks practical human activity amount sensing technology, the variable-frequency control technique of clothing amount Predicting Technique, single-phase compressor of air conditioner, refrigerant etc., thereby with regard to domestic at present with regard to, also do not integrate above-mentioned technology, be the intelligent air condition controller of purpose to pursue the comfort level index.
The purpose of this utility model is the sensing technology by the advanced person, utilizes the artificial neural network intelligent information processing technology to dope the comfort level index PMV of human body, utilizes fuzzy control technology that the value of PMV is controlled near the optimum value (null value) then.Its major control means are variable-frequency governor, fan delivery and the electronic expansion valve openings correspondingly that drive single-phase or three-phase compressor, thereby realize the intellectuality control of room air conditioner.
Content of the present utility model is: based on the intelligent air condition controller of neutral net and fuzzy logic, this controller comprises the variable-frequency governor of interior sensor, outdoor sensor, keyboard and display interface device circuit, main control unit, indoor driving mechanism, outdoor driving mechanism and compressor of air conditioner.Main control unit is made up of microprocessor U11, latch U12, external RAM chip U13, external EPROM chip U14 and a geocoding chip U15, wherein remote signal is entered by hsi1 and the hsi2 port of U11, and the interrupt request singal of keypad/display interface is sent into the hsi0 port.Keyboard and display interface device circuit are made up of keypad/display interface chip U31, decoder U32, buffer DIP11 and DIP12, inverter buffer U33 and U34, charactron, touch keyboard and pressure button.Interior sensor and outdoor sensor comprise humidity sensor and temperature sensor circuit, are made up of humidity sensor and follow-up amplifier LM1, indoor temperature transmitter, outdoor temperature sensor, multiway analog switch U41 and corresponding follow-up amplifier DIP26.Indoor, outdoor driving mechanism comprises that driving signal power amplifies and interface circuit, is made up of with stepper motor plug PINA3 power amplification chip U61, U62, relay SR and electric expansion valve stepper motor plug PINA4, wind direction control.Variable-frequency governor is made up of inversion driving and holding circuit, rectifying and wave-filtering, six cell power modules.
Below in conjunction with accompanying drawing, introduce content of the present utility model in detail.
Description of drawings:
Fig. 1 intelligent air condition controller principle block diagram
Fig. 2 clothing amount intelligent predicting device theory diagram
Fig. 3 PMV intelligent predicting device theory diagram
Fig. 4 variable-frequency governor theory diagram
The main control unit circuit of Fig. 5 band EPROM, RAM
Fig. 6 keypad/display interface circuit
Fig. 7 parallel port able to programme and hardware clock circuit
Fig. 8 humidity and temperature sensor circuit
Fig. 9 activity sensing data reads and the segment drive signal latch cicuit
Power amplification of Figure 10 segment drive signal and interface circuit
The environmental factor that comprises interior sensor detects with sensor, body state detection sensor.In concrete enforcement of the present utility model, adopted an activity sensor, one clothing amount intelligent predicting device, humidity sensor, four temperature sensors (being respectively applied for the detection of indoor environment temperature, indoor fan leaving air temp, indoor heat exchanger feed liquor temperature, indoor heat exchanger air outlet temperature) etc.Activity sensor wherein will be introduced in main control unit with the concrete operation principle and the enforcement means of clothing amount intelligent predicting device.Other Temperature Humidity Sensor is a current version.
Outdoor sensor mainly is made of temperature sensor.In the concrete enforcement of utility model, adopt 3 temperature sensors, be respectively applied for the detection of outdoor environment temperature, outdoor heat exchanger feed liquor temperature, outdoor heat exchanger air outlet temperature etc.
Main control unit is mainly realized by microprocessor.It is responsible for collection, PMV neutral net intelligent predicting, the corresponding data of indoor and outdoor transducing signal and handles and produce control strategy and carry out it.
The consensus forecast voting value PMV of description human comfort that ISO--7730 recommended sensation is by following six factors decision, promptly humidity, air velocity, air themperature, environmental radiation temperature and people's activity, the clothing amount.Wherein preceding four factors are (indoor) environmental factors, and latter two then is people's a state factor.Therefore, the comfort with the people serves as that the intelligent air condition controller of controlling index must be realized the detection and the prediction of above-mentioned factor parameter with several intelligence sensors with signal processing function.The key technology that these intelligence sensors will be used is fuzzy logic inference and neural network technology.
Ambiguity is to produce in the process of human knowledge's things.The basic tool of handling ambiguity has been a fuzzy mathematics.It is to be proposed by professor Zha De of U.S.'s University of California, Berkeley before two more than ten years.Though fuzzy mathematics and fuzzy control are young, have presented great vitality.The basic conception of fuzzy theory is membership function, utilize in the utility model fuzzy logic to the people the clothing amount carried out prediction, the Based Intelligent Control of humiture, the fuzzy control of electric expansion valve etc.Here introducing clothing amount intelligent predicting device earlier, its theory diagram as shown in Figure 2.Its operation principle is that microprocessor is gathered from the indoor and outdoor temperature sensor and obtained indoor and outdoor temperature T
InWith T
Outward, allow microprocessor read calendar (season) simultaneously from calendar clock, the fuzzy prediction device that utilizes people's empirical rule to be designed to is then finished the prediction of clothing amount.The regular pattern of taking is:
……
If T
InIs PS and T
OutwardIs PS and Calender is Spring then CLOTHING is PM
……
Here T
In, T
OutwardRepresent indoor temperature, outdoor temperature, season respectively with Calender.CLOTHING represents output quantity, promptly the clothing amount.PS, PS, PM represent respectively just little, just little, just medium fuzzy language variable.
Neutral net is the network that is extensively interconnected and form by a large amount of processing units, and it is to propose on the basis to human information processing achievement in research in modern Neurobiology and cognitive science.On the basis of signal, information processing, it and traditional digital computer have basic difference, it has MPP, continuous time dynamics and characteristics such as network overall situation effect, and in the distribution that connects between the storage embodiment neuron of information, memory block and operating space unite two into one.Neutral net has very strong self adaptation and learning ability, robustness and fault-tolerant ability in addition, thereby can replace the traditional algorithm of complicated and time consumption, makes signal processing more approach human thinking activities.Given this, in the utility model, utilize the self study of height of artificial neural network and the intelligent predicting that mapping ability is realized human comfort index PMV.Artificial nerve network model in the utility model is the multilayer perceptron model, has adopted the back-propagating algorithm, and its structure as shown in Figure 3.
When realizing, adopted concrete artificial neural network the output layer network model of the input layer with six nodes, hidden layer and an output node with five nodes, input parameter wherein is X1, X2, X3, X4, X5, X6, represents radiation temperature, indoor relative humidity, air velocity, human activity amount, the human body of indoor temperature, wall clothing amount etc. respectively.When reality is used, with by experiment with calculate 1750 groups of data samples being obtained and send into above-mentioned neutral net and learn, treat that study finishes after, just can serve as the intelligent predicting device of PMV.Promptly clothing amount etc. as long as obtain indoor temperature, wall radiation temperature (getting), indoor relative humidity, air velocity, human activity amount, human body this moment, just can obtain the pmv value of output by neutral net according to indoor temperature and operation timeliness simple forecast.After obtaining pmv value, main control unit will utilize fuzzy logic control technology that the value of PMV is controlled near zero.Its main governor motion is indoor driving mechanism and outdoor driving mechanism and variable-frequency governor.Indoor driving mechanism in the utility model has adopted indoor fan, indoor wind direction control motor (stepper motor or ac synchronous motor); outdoor driving mechanism comprises electric expansion valve stepper motor, outdoor fan etc., and variable-frequency governor partly comprises parts such as inversion driving and holding circuit and rectifying and wave-filtering, six cell power modules.What deserves to be explained is that electric expansion valve is the controlling organization that is used for controlling the refrigerant flow size, it is to guarantee under different compressor rotary speeds, and every kind of corresponding operating mode all has best Energy Efficiency Ratio (EER).Variable-frequency governor is the core driving mechanism of whole Based Intelligent Control, and it mainly is to utilize main control unit to produce the frequency control waveform that changes compressor rotary speed, and its composition frame chart as shown in Figure 4.
In addition, people's mandatory order signal is all finished by button input, and wherein the pressure button that comprises on infrared remote control input or the control panel of key-input operation is finished.Adopted micro computer IR remote controller and three emergency buttons on the indoor control panel of band liquid crystal display to realize the key signals input in the utility model.This IR remote controller has perfect air-conditioning control function, as Auto Power On, automatically shutdown, function regularly, automatically operation, forced refrigeration, heat, single wind, dehumidifying, defrosting, sleep/go out/return etc., and be designed to universal so that the remote controller compatibility of wall-through type air conditioner and wall air conditioner.
In sum, this intelligent air condition controller can dope human comfort index PMV according to nerual network technique after human body state and the environmental factor automatically, then by fuzzy logic control technology, suitably adjust the frequency control operating frequency of compressor and corresponding electronic expansion valve opening and indoor air quantity, wind direction, thereby reach the Based Intelligent Control effect of best PMV.
More than be the principle introduction of this utility model, the main circuit schematic diagram of its specific implementation such as Fig. 5, Fig. 6, Fig. 7, Fig. 8, Fig. 9, shown in Figure 10.Main control unit, keypad/display interface circuit, parallel port able to programme and hardware clock circuit, humidity and the temperature sensor circuit, the activity sensing data that are respectively band EPROM, RAM read and segment drive signal latch cicuit, segment drive signal power amplification and interface circuit etc.To be illustrated respectively below.
Fig. 5 for the band EPROM, RAM the main control unit circuit, it is mainly by microprocessor U11, latch U12, external RAM chip U13, external EPROM chip U14 and a geocoding chip U15(GAL16V8) etc. form.Wherein remote signal is entered by hsi1 and the hsi2 port of U11, and the interrupt request singal of keypad/display interface is sent into the hsi0 port.
Fig. 6 is the keypad/display interface circuit, and it mainly is made up of keypad/display interface chip U31, decoder U32, buffer DIP11 and DIP12, inverter buffer U33 and U34, four charactrons (DIP7, DIP9, DIP10, DIP17), touch keyboard KEYBOARD, three pressure buttons (S1, S2, S3) etc.This circuit is mainly finished the coding of keyboard input signal, the functions such as demonstration of U11 output signal.
Fig. 7 is parallel port able to programme and hardware clock circuit, and it mainly is made up of programmable parallel expansion mouthful chip U21, hardware clock U22, reserce cell B2 etc.The major function of this circuit is LPT and and the hardware clock interface that expansion is provided for entire controller.
Fig. 8 is humidity and temperature sensor circuit, and it mainly is made up of humidity sensor and follow-up amplifier LM1, four indoor temperature transmitter RT1-RT4, three outdoor temperature sensor RT5-RT7, multiway analog switch U41 and follow-up amplifier DIP26 correspondingly etc.The signal that it mainly finishes humidity sensor and temperature sensor amplifies the preprocessing tasks preceding with sending into microprocessor U11.
Fig. 9 reads and the segment drive signal latch cicuit for the activity sensing data.It mainly is to be made of latch U51, latch U52, latch U53 and corresponding light emitting diode L1-L8 and gang socket etc.With the data utilizing latch U51 to be implemented in to read human activity amount under the control of microprocessor U11, utilize latch U52 latch the light emitting diode that U11 sends the driving signal, utilize latch U53 to latch relay and the buzzer that U11 sends to drive latching of signal.
Figure 10 is that indoor, outdoor driving mechanism amplifies and interface circuit with signal power.It mainly is made up of with stepper motor plug PINA3 etc. power amplification chip U61, U62 and six relay SR1-SR6 and electric expansion valve stepper motor plug PINA4, wind direction control.This circuit is mainly finished the power amplification and the interface of part control signal.Wherein PINA1 connects the third gear of indoor fan wind speed; PINA2 connects off-premises station, respectively reversal valve, outdoor power of compressor break-make, outdoor fan etc. outside the control room.
The intelligent air condition controller of the utility model design is after detecting sensor signal (activity, clothing amount, damp-warm syndrome degree etc.) automatically, automatically dope pmv value by artificial neural network, according to the air quantity of the frequency of fuzzy logic control technology control variable-frequency governor, indoor fan, wind direction etc., realize Optimal Control again to human comfort.
Claims (1)
1, a kind of intelligent air condition controller based on neutral net and fuzzy logic is characterized in that this controller comprises the variable-frequency governor of interior sensor, outdoor sensor, keyboard and display interface device circuit, main control unit, indoor driving mechanism, outdoor driving mechanism and compressor of air conditioner; Described main control unit is made up of microprocessor (U11), latch (U12), external RAM chip (U13), external EPROM chip (U14) and a geocoding chip (U15), wherein remote signal is entered by the hsi1 and the hsi2 port of microprocessor (U11), and the interrupt request singal of keypad/display interface is sent into the hsi0 port; Described keyboard and display interface device circuit by keypad/display interface chip (U31), decoder (U32), buffer (DIP11) and (DIP12), inverter buffer (U33) and (U34), charactron, touch keyboard and pressure button form; Described interior sensor and outdoor sensor comprise humidity sensor and temperature sensor circuit, are made up of humidity sensor and follow-up amplifier (LM1), indoor temperature transmitter, outdoor temperature sensor, multiway analog switch (U41) and corresponding follow-up amplifier (DIP26); Described indoor, outdoor driving mechanism comprises that driving signal power amplifies and interface circuit, is made up of with stepper motor plug (PINA3) power amplification chip (U61), (U62), relay SR and electric expansion valve stepper motor plug (PINA4), wind direction control; Described variable-frequency governor is made up of inversion driving and holding circuit, rectifying and wave-filtering, six cell power modules.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 94216957 CN2215091Y (en) | 1994-07-16 | 1994-07-16 | Intelligent air conditioner controller based on nervous net and vague logic |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 94216957 CN2215091Y (en) | 1994-07-16 | 1994-07-16 | Intelligent air conditioner controller based on nervous net and vague logic |
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| Publication Number | Publication Date |
|---|---|
| CN2215091Y true CN2215091Y (en) | 1995-12-13 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 94216957 Expired - Fee Related CN2215091Y (en) | 1994-07-16 | 1994-07-16 | Intelligent air conditioner controller based on nervous net and vague logic |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN100375868C (en) * | 2003-05-15 | 2008-03-19 | 乐金电子(天津)电器有限公司 | Apparatus and method for automatic control of louver blade |
| WO2008001227A3 (en) * | 2006-06-28 | 2008-04-24 | Computime Ltd | Conveying temperature information in a controlled variable speed heating, ventilation, and air conditioning (hvac) system |
| CN100385177C (en) * | 2005-06-30 | 2008-04-30 | 深圳市奥宇控制系统有限公司 | Small size central air conditioning network controller |
| CN100445658C (en) * | 2005-12-19 | 2008-12-24 | 上海约顿机房设备有限公司 | Air conditioner for accurately control temperature and humidity |
| WO2009000165A1 (en) * | 2007-06-28 | 2008-12-31 | Computime, Ltd. | Recording and conveying energy consumption and power information |
| CN100458296C (en) * | 2005-03-11 | 2009-02-04 | 三洋电机株式会社 | Air conditioner, method of controlling the same, temperature setting device and method of controlling the same |
| US8036778B2 (en) | 2007-01-17 | 2011-10-11 | Daikin Industries, Ltd. | Air-conditioning system |
| CN102589092A (en) * | 2012-03-12 | 2012-07-18 | 山东建筑大学 | Indoor-environment thermal comfort control method based on novel fuzzy controller |
| CN101852472B (en) * | 2009-04-01 | 2012-09-05 | 欧威尔空调科技(中国)有限公司 | Automatic addressing method for air conditioning system and air conditioning controller |
| CN101390028B (en) * | 2005-10-14 | 2013-01-02 | 西门子公司 | Device for controlling the room temperature in a building using a predictive control device |
| CN104075402A (en) * | 2014-06-19 | 2014-10-01 | 珠海格力电器股份有限公司 | Intelligent air conditioner control method and system |
| CN104729035A (en) * | 2015-04-09 | 2015-06-24 | 南通理工学院 | Temperature control and energy conservation adjusting device and method |
| CN105222264A (en) * | 2014-06-16 | 2016-01-06 | 广东美的集团芜湖制冷设备有限公司 | The pleasant climate method of air-conditioner and device |
| CN105371432A (en) * | 2015-11-20 | 2016-03-02 | Tcl空调器(中山)有限公司 | Air conditioner and control method for air conditioner |
| CN106369739A (en) * | 2016-08-23 | 2017-02-01 | 海信（山东）空调有限公司 | Air conditioner control method, air conditioner controller and air conditioner system |
| WO2017024636A1 (en) * | 2015-08-07 | 2017-02-16 | 广东美的制冷设备有限公司 | Indoor unit of air conditioner and method for controlling indoor air outlet of air conditioner |
| CN109595765A (en) * | 2018-12-10 | 2019-04-09 | 珠海格力电器股份有限公司 | Air-conditioner control method, device, storage medium and air conditioner |
| CN109631191A (en) * | 2018-12-17 | 2019-04-16 | 重庆七泉科技有限公司 | A kind of Internet of Things air purifier based on artificial intelligence control |
| CN111486554A (en) * | 2020-04-21 | 2020-08-04 | 同济人工智能研究院(苏州)有限公司 | Air conditioner temperature non-inductive control method based on online learning |
| CN112283897A (en) * | 2020-09-18 | 2021-01-29 | 海信（山东）空调有限公司 | Air conditioner and control method |
-
1994
- 1994-07-16 CN CN 94216957 patent/CN2215091Y/en not_active Expired - Fee Related
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100375868C (en) * | 2003-05-15 | 2008-03-19 | 乐金电子(天津)电器有限公司 | Apparatus and method for automatic control of louver blade |
| CN100458296C (en) * | 2005-03-11 | 2009-02-04 | 三洋电机株式会社 | Air conditioner, method of controlling the same, temperature setting device and method of controlling the same |
| CN100385177C (en) * | 2005-06-30 | 2008-04-30 | 深圳市奥宇控制系统有限公司 | Small size central air conditioning network controller |
| CN101390028B (en) * | 2005-10-14 | 2013-01-02 | 西门子公司 | Device for controlling the room temperature in a building using a predictive control device |
| CN100445658C (en) * | 2005-12-19 | 2008-12-24 | 上海约顿机房设备有限公司 | Air conditioner for accurately control temperature and humidity |
| WO2008001227A3 (en) * | 2006-06-28 | 2008-04-24 | Computime Ltd | Conveying temperature information in a controlled variable speed heating, ventilation, and air conditioning (hvac) system |
| US7590499B2 (en) | 2006-06-28 | 2009-09-15 | Computime, Ltd. | Recording and conveying energy consumption and power information |
| US8036778B2 (en) | 2007-01-17 | 2011-10-11 | Daikin Industries, Ltd. | Air-conditioning system |
| CN101583831B (en) * | 2007-01-17 | 2011-12-21 | 大金工业株式会社 | Air conditioning control system |
| WO2009000165A1 (en) * | 2007-06-28 | 2008-12-31 | Computime, Ltd. | Recording and conveying energy consumption and power information |
| CN101852472B (en) * | 2009-04-01 | 2012-09-05 | 欧威尔空调科技(中国)有限公司 | Automatic addressing method for air conditioning system and air conditioning controller |
| CN102589092B (en) * | 2012-03-12 | 2014-06-18 | 山东建筑大学 | Indoor-environment thermal comfort control method based on novel fuzzy controller |
| CN102589092A (en) * | 2012-03-12 | 2012-07-18 | 山东建筑大学 | Indoor-environment thermal comfort control method based on novel fuzzy controller |
| CN105222264A (en) * | 2014-06-16 | 2016-01-06 | 广东美的集团芜湖制冷设备有限公司 | The pleasant climate method of air-conditioner and device |
| CN105222264B (en) * | 2014-06-16 | 2018-04-10 | 广东美的集团芜湖制冷设备有限公司 | The pleasant climate method and device of air conditioner |
| CN104075402A (en) * | 2014-06-19 | 2014-10-01 | 珠海格力电器股份有限公司 | Intelligent air conditioner control method and system |
| CN104729035A (en) * | 2015-04-09 | 2015-06-24 | 南通理工学院 | Temperature control and energy conservation adjusting device and method |
| WO2017024636A1 (en) * | 2015-08-07 | 2017-02-16 | 广东美的制冷设备有限公司 | Indoor unit of air conditioner and method for controlling indoor air outlet of air conditioner |
| CN105371432A (en) * | 2015-11-20 | 2016-03-02 | Tcl空调器(中山)有限公司 | Air conditioner and control method for air conditioner |
| CN106369739A (en) * | 2016-08-23 | 2017-02-01 | 海信（山东）空调有限公司 | Air conditioner control method, air conditioner controller and air conditioner system |
| CN109595765A (en) * | 2018-12-10 | 2019-04-09 | 珠海格力电器股份有限公司 | Air-conditioner control method, device, storage medium and air conditioner |
| CN109631191A (en) * | 2018-12-17 | 2019-04-16 | 重庆七泉科技有限公司 | A kind of Internet of Things air purifier based on artificial intelligence control |
| CN111486554A (en) * | 2020-04-21 | 2020-08-04 | 同济人工智能研究院(苏州)有限公司 | Air conditioner temperature non-inductive control method based on online learning |
| CN111486554B (en) * | 2020-04-21 | 2022-05-24 | 同济人工智能研究院(苏州)有限公司 | Air conditioner temperature non-sensitive control method based on online learning |
| CN112283897A (en) * | 2020-09-18 | 2021-01-29 | 海信（山东）空调有限公司 | Air conditioner and control method |
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