CN110454919A - A kind of smart home air-conditioner control system and control method - Google Patents

A kind of smart home air-conditioner control system and control method Download PDF

Info

Publication number
CN110454919A
CN110454919A CN201910732812.8A CN201910732812A CN110454919A CN 110454919 A CN110454919 A CN 110454919A CN 201910732812 A CN201910732812 A CN 201910732812A CN 110454919 A CN110454919 A CN 110454919A
Authority
CN
China
Prior art keywords
indoor
temperature value
value
air
body temperature
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
Application number
CN201910732812.8A
Other languages
Chinese (zh)
Inventor
罗小燕
邓涛
刘鑫
张璇
张丹荣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangxi University of Science and Technology
Original Assignee
Jiangxi University of Science and Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Jiangxi University of Science and Technology filed Critical Jiangxi University of Science and Technology
Priority to CN201910732812.8A priority Critical patent/CN110454919A/en
Publication of CN110454919A publication Critical patent/CN110454919A/en
Pending legal-status Critical Current

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/52Indication arrangements, e.g. displays
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56Remote control
    • F24F11/58Remote control using Internet communication
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/88Electrical aspects, e.g. circuits
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/89Arrangement or mounting of control or safety devices

Abstract

The invention belongs to Smart Home technical fields, more particularly to a kind of smart home air-conditioner control system and control method, the true body temperature value T including member in real-time collection roomi, indoor temperature value TinWith indoor humidity value HinAcquisition unit, the suitable body temperature value T of indoor member is stored in advancei With the control unit of optimum air humidity value H ', described control unit can receive the collected data of acquisition unit and according to true body temperature value Ti, indoor temperature value TinWith indoor humidity value HinWith the suitable body temperature value Ti , optimum air humidity value H ' comparison result adjust intelligent air condition temperature and humidity;The present invention constructs the comfortable Optimized model of indoor environment and optimizes to indoor user comfort level, passes through the weight w of more peopleiIt calculates, considers the coordination problem that air-conditioning uses under the more people of family, intelligence degree is high, guarantees user environment comfort, is suitble to use in the family.

Description

A kind of smart home air-conditioner control system and control method
Technical field
The invention belongs to Smart Home technical fields, and in particular to a kind of smart home air-conditioner control system and controlling party Method.
Background technique
With smart home device and the rapid growth of intelligence control system, so that intelligent requirements of the user to air-conditioning Higher and higher, more intelligent air conditioning system is the indispensable a part of household resident.For existing air-conditioning, night sleeps The a certain fixed temperature value that resident can only set before feeling, with the intensification of sleep, which, which often gradually becomes, is not Optimal temperature, to occur " being subcooled " or the phenomenon that " overheat ", when " supercooling ", 1-2 degree, Zhi Houyou can be turned up in general people It is easy to appear " overheat ", repeatedly, greatly affected resident's sleep quality, while being also easy to cause flu.Especially needle To this specific group of children, itself is less sensitive to temperature, about children because the event of air-conditioning flu also emerges one after another. Optimum temperature is different when everyone sleeps, and existing air-conditioning can only set a temperature value, can not carry out specific aim It adjusts;In addition, indoor humidity is larger by seasonal effect, stays under air conditioner surroundings to be easy to appear and had dry skin because of air overdrying Problem, and existing air-conditioning is for air wetting that this block intelligence degree is generally relatively low, cannot solve the above problems.Such one Come, air-conditioning just seems less intelligent.
There are the control methods of some smart home air-conditioner control systems for the prior art, but intelligence degree is not high, nothing Method solves the above problems, and realizes and realizes automatic control to air-conditioning according to citizen requirement.
Summary of the invention
In view of the above-mentioned problems existing in the prior art, a kind of smart home air-conditioner control system and its control method are provided, The present invention solves the problems, such as that existing air-conditioning system degree of intelligence is not high, realizes temperature according to indoor different human body temperature variations Degree follows in real time, is suitble to use in the family.
To achieve the goals above, one aspect of the present invention provides a kind of smart home air-conditioner control system, comprising:
Acquisition unit, true body temperature value T of the acquisition unit for member in real-time collection roomi, indoor temperature value Tin With indoor humidity value Hin
Control unit, the control unit are stored with the suitable body temperature value T of indoor memberi' and optimum air humidity value H ', And the collected true body temperature value T of the acquisition unit can be receivedi, indoor temperature value TinWith indoor humidity value HinNumber According to, and described control unit is according to true body temperature value Ti, indoor temperature value TinWith the suitable body temperature value Ti' comparison result The temperature for adjusting intelligent air condition, according to indoor humidity value HinIntelligent air condition is adjusted with the comparison result of optimum air humidity value H ' Humidity.
Preferably, the acquisition unit includes:
Sensor module, including for measuring the true body temperature value TiUser's body temperature transducer and described for measuring Indoor temperature value TinWith indoor humidity value HinIndoor temperature and humidity sensor;
Single-chip microcontroller;
Power module, the power module are connected to the single-chip microcontroller for power supply;
Transmit circuit and reception circuit, the single-chip microcontroller are connected to the biography by the transmit circuit and reception circuit signal Sensor module is can obtain data from the sensor module;
Signal amplifier, signal modulator and the counter being connect with the single-chip microcontroller;And
First transmission module, described control unit receive the true body temperature value T by first transmission modulei, it is indoor Temperature value TinWith indoor humidity value HinData.
Preferably, described control unit includes:
Control module, the control module export order pair to after the Data Analysis Services that the acquisition unit receives The intelligent air condition carries out temperature scaling factor;
Registration module, the registration module are used for the suitable body temperature value T of indoor memberi' the registration with optimum humidity H ';
Display module, the display module can show the Temperature changing situation of indoor member;
Data-storable memory module;
Alarm module, the alarm module are used for the true body temperature value T of indoor memberiWhen more than normal body temperature range outwardly Signal an alert;
Execution module, the execution module control the wind speed of intelligent air condition, temperature after receiving the order of control module sending Degree and air humidity;
Second transmission module can connect with the acquisition unit and carry out data exchange.
Preferably, parameter self-tuning fuzzy PID controller built in the control module and indoor environment comfort level optimize actuator;
The control module burning has intelligent algorithm, adaptive Fuzzy PID Control algorithm and room built in the intelligent algorithm Interior environment excellent comfortization algorithm.
Preferably, the method for the indoor environment comfort level optimization actuator optimization is adaptive particle swarm optimization algorithm.
The present invention also provides a kind of control method of smart home air-conditioner control system, the control method includes following step It is rapid:
S1 the suitable body temperature value T of indoor member) is obtainedi' and optimum air humidity value H ', it is suitable for body temperature value T by thisi' and Optimum air humidity value H ' is registered to registration module;
S2) by the collected true body temperature value T of acquisition uniti, indoor temperature value TinWith indoor humidity value HinIt is transmitted to control Unit storage processed;
S3 subordinating degree function and fuzzy rule) are write, fuzzy controller is designed, temperature optimization process is written as generation Code imports in control unit;
S4) by being suitable for body temperature value Ti' and true body temperature value TiDetermine optimum temperature value T ' and synthesis temperature value T, then by most Thermophilic angle value T ' and synthesis temperature value T optimize room temperature, by optimum air humidity value H ', indoor humidity value HinWith Indoor environment comfort level Optimized model optimizes indoor air humidity;
S5) control unit control air-conditioning adjusts wind speed, temperature and air humidity.
Preferably, step S1) include:
S101) according to historical experience or the temperature test by repeatedly debugging air-conditioning, indoor member is obtained under air-conditioning Suitable body temperature value Ti' and optimum air humidity value H ', and registered in registration module;
S102) by suitable body temperature value Ti' store with optimum air humidity value H ' to the memory module of control unit;
S103) inhabitation personnel according to seasonal variations or itself need to update suitable body temperature value T in registration modulei' He Shi Suitable air humidity value H '.
Preferably, step S2) include:
Second transmission module of described control unit and the first transmission module of acquisition unit pass through wireless blue tooth communication party Formula carries out data transmission.
Preferably, step S4) include:
S401) single player mode;
Directly true body temperature value and its preference temperature value are compared under single player mode, pass through fuzzy controller pair Temperature carries out closed-loop control, so that it is rapidly achieved optimal temperature value, and track at any time;
S402) multi-player mode;
Control unit sets respective weight w according to indoor occupant significance level under the modei, to realize optimum temperature The COMPREHENSIVE CALCULATING of value T ' and synthesis temperature value T, i.e.,
T '=T '1ω1+T′2ω2+T′3ω3
T=T1ω1+T2ω2+T3ω3
The deviation e and deviation variation rate ec of optimum temperature value T ' and synthesis temperature value T are input to designed adaptive In fuzzy controller, obtain output variable u (k), as the refrigeration and heating capacity of air-conditioning, make body temperature in real time, accurately track most Thermophilic angle value T ';
It recycles indoor environment comfort level Optimized model to optimize indoor humidity, is at users'comfort and reaches It is optimal.
Preferably, the weight wiDetermination method be expert graded.
Beneficial effects of the present invention:
(1) smart home air-conditioner control system of the invention includes control module, registration module, acquisition unit, timing benefit Module, display module, execution module, alarm module and intelligent algorithm are repaid, it is achievable compared with existing air-conditioner control system Function is numerous;
(2) present invention by by optimum temperature value T ' and synthesis temperature value T compare and parameter self-tuning fuzzy PID controller, The application of temperature optimization actuator can control air-conditioning and realize its optimum temperature value of user's body temperature real-time tracking, and using indoor Environmental degree of comfort optimization actuator optimizes, so that indoor comfort degree is in user in real time and perceives optimum state, builds easypro Suitable environment;
(3) the weight w that the present invention passes through more peopleiIt calculates, considers the coordination problem that air-conditioning uses under the more people of family, it is intelligent Degree is high, guarantees user environment comfort, is suitble to use in the family.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the smart home air-conditioner control system provided according to one embodiment of the invention;
Fig. 2 is the smart home air-conditioner control system Bluetooth transmission signal principle figure provided according to one embodiment of the invention;
Fig. 3 is the fuzzy temperature controller of the smart home air-conditioner control system provided according to one embodiment of the invention Schematic diagram;
Fig. 4 is that the indoor environment comfort level of the smart home air-conditioner control system provided according to one embodiment of the invention optimizes Systematic schematic diagram;
Fig. 5 is that the indoor environment comfort level of the smart home air-conditioner control system provided according to one embodiment of the invention executes APSO algorithm flow chart used in device.
Description of symbols
1- control unit, 2- acquisition unit, 3- sensor module, 11- registration module, 12- display module, 13- store mould Block, 14- intelligent algorithm, 15- alarm module, 16- execution module, the second transmission module of 17-, 18- control module, 19- timing are mended Repay module, 21- transmit circuit, 22- single-chip microcontroller, 23- power module, the first transmission module of 24-, 25- signal amplifier, 26- letter Number modulator, 27- counter, 28- receive circuit, 31- user's body temperature transducer, 32- indoor temperature and humidity sensor.
Specific embodiment
The following describes the present invention in detail with reference to the accompanying drawings and specific embodiments.It should be understood that this place is retouched The specific embodiment stated is merely to illustrate and explain the present invention, and is not intended to restrict the invention.
Embodiment 1:
Referring to FIG. 1 to 5, a kind of smart home air-conditioner control system, comprising:
Acquisition unit 2, true body temperature value T of the acquisition unit 2 for member in real-time collection roomi, indoor temperature value Tin;With indoor humidity value Hin;It is stored with the suitable body temperature value T of indoor memberi' the control unit with optimum air humidity value H ' 1, and the collected true body temperature value T of acquisition unit 2 can be receivedi, indoor temperature value TinWith indoor humidity value HinNumber According to, and described control unit 1 is according to true body temperature value Ti, indoor temperature value TinWith indoor humidity value HinWith the suitable body temperature value Ti', the comparison result of optimum air humidity value H ' adjust the temperature and humidity of intelligent air condition.
Refering to fig. 1, the acquisition unit 2 includes sensor module 3, power module 23, the first transmission module 24, transmitting electricity Road 21 receives circuit 28, single-chip microcontroller 22, signal amplifier 25, signal modulator 26, counter 27, the hair of the acquisition unit 2 Transmit-receive radio road 21 is connect with user's body temperature transducer 31 of the sensor module 3 and 32 output end of indoor temperature and humidity sensor; The single-chip microcontroller uses AT89C51 single-chip microcontroller, and second transmission module 17 passes through wireless blue tooth communication mode and described first Transmission module 24 connects;The reception circuit 28, signal amplifier 25, signal modulator 26, counter 27 are sequentially connected, defeated Outlet is connected with single-chip microcontroller 22, and the first transmission module 24, transmit circuit 21 and power module 23 also connect with the single-chip microcontroller 22 It connects, power module 23 is the power supply of single-chip microcontroller 22;The acquisition unit 2 is mounted on outside air-conditioning, at user's sleep.
The sensor module 3 includes for measuring the true body temperature value TiUser's body temperature transducer 31 and for surveying Measure the indoor temperature value TinWith indoor humidity value HinIndoor temperature and humidity sensor 32, the user's body of the sensor module 3 Temperature sensor 31 and 32 output end of indoor temperature and humidity sensor are connect with the reception circuit 28 of the acquisition unit 2, it is preferable that are used The configuration of intelligent temperature measurement bracelet can be used at user's wrist in family body temperature transducer 31;Indoor temperature and humidity sensor 32 uses existing skill Common Temperature Humidity Sensor in art, can be placed on the head of a bed or Working table, and the survey room temperature link considers two The most common situation of kind, i.e., one is when user sleeps, the temperature sensor positioned at the head of a bed works;Another kind is user's work When making, the temperature sensor positioned at desk works.
User's body temperature transducer 31 is used for the measurement of indoor different user body temperature during sleep, by several intelligent temperature measurement bracelet structures At comprising Bluetooth RF part and temperature acquisition part;Specifically, the intelligent temperature measurement bracelet model of user's body temperature transducer 31 For MF54-503E3949EX-XX-30R thermally sensitive temperature sensor, interval range of the sensor when measurement temperature at 16~41 DEG C When, temperature measurement accuracy deviation is about 0.05 DEG C, can satisfy the requirement of shell temperature measurement.It sets intelligent temperature measurement bracelet to Every 2s updates 1 body temperature value, to realize true body temperature value TiReal-time input.
Described control unit 1 includes registration module 11, memory module 13, the second transmission module 17, control module 18, timing Compensating module 19, display module 12, execution module 16 and alarm module 15;18 output end of control module respectively with display mould The input terminal connection of block 12, execution module 16, alarm module 15, burning has intelligent algorithm 14 in the control module 18, described 16 signal output end of execution module connects blower, heater, compressor, humidifier in air-conditioning, and described control unit 1 is mounted on Inside room conditioning, intelligent adjusting is carried out for controlling air-conditioning.Further, Adaptive Fuzzy PID built in the control module 18 Controller and indoor environment comfort level optimize actuator, adaptive Fuzzy PID Control algorithm and interior built in the intelligent algorithm 14 Environmental degree of comfort optimization algorithm.
The display module 12 is for showing user's body temperature situation of change, using LED display;Specifically, control module After the temperature information that 18 acquisition sensor modules 3 transmit, it is stored in the display screen control card of control module 18, is then controlled Card controls semiconductor light-emitting-diode according to storage temperature value firing order, and the true body temperature value of user is shown in LED display It shows and.So, user can understand the body temperature situation and its variation tendency of oneself and household at any time.
The alarm module 15, when user because catch a cold or other special circumstances body temperature be more than normal body temperature range when, outward Boundary issues buzzing alarming;Specifically, after control module 18 obtains the temperature information that transmits of sensor module 3, by its with just The bound of normal body temperature is compared, if being more than this range, sends a command to buzzer control switch, buzzer hair Buzzing alarming out, until user closes alarm.It has a fever suddenly when such as infant sleep, body temperature rises to 38 degree, and sensor module 3 will The true body temperature value T of babyiIt is sent to control module 18 by bluetooth, control module 18 carries out 38 degree with normal body temperature range Compare, learn more than the normal body temperature upper limit, then sending order closes the switch alarm module 15, gives a warning.So, it uses Family can predict cat fever or the abnormal state of an illness of other body temperature in advance, carry out defence work.
Timing-compensation module 19 can be according to true body temperature value T if user's air-conditioning timing terminatesiWith optimum temperature value T ' warp Crossing comparative analysis calculating makes air-conditioning time-delay closing, and avoiding closing suddenly due to air-conditioning causes indoor temperature change generated in case too fast.
Intelligent algorithm 14, present invention employs Fuzzy PID and indoor environment comfort level optimization algorithm, indoor rings The method that border comfort level optimizes actuator optimization is adaptive particle swarm optimization algorithm, and the intelligent algorithm 14 writes rear burning Into control module 18.
Execution module 16, the core that execution module 16 works as intelligent air condition, is issued by intelligent air condition control module 18 It instructing to execution module 16, execution module 16 issues instructions to the components such as air-conditioning inner blower, heater, compressor, humidifier, on Component is stated to execute work and then adjust indoor temperature and humidity condition.
A kind of control method of smart home air-conditioner control system, the control method is the following steps are included: S1) obtain room The suitable body temperature value T of interior memberi' and optimum air humidity value H ', it is suitable for body temperature value T by thisi' and optimum air humidity value H ' is registered to registration module 1;
S2) by the collected true body temperature value T of acquisition unit 2i, indoor temperature value TinWith indoor humidity value HinIt is transmitted to control Unit 1 processed stores;
S3 subordinating degree function and fuzzy rule) are write, fuzzy controller is designed, temperature optimization process is written as generation Code imports in control unit 1;
S4) by being suitable for body temperature value Ti' and true body temperature value TiDetermine optimum temperature value T ' and synthesis temperature value T, then by most Thermophilic angle value T ' and synthesis temperature value T optimize room temperature, by optimum air humidity value H ', indoor humidity value HinWith Indoor environment comfort level Optimized model optimizes indoor air humidity;
S5) control unit 1 controls air-conditioning and adjusts wind speed, temperature and air humidity.
Further, step S1) include:
S101) according to historical experience or the temperature test by repeatedly debugging air-conditioning, indoor member is obtained under air-conditioning Suitable body temperature value Ti' and optimum air humidity value H ', and registered in registration module 11;
S102) by suitable body temperature value Ti' store with optimum air humidity value H ' to the memory module 13 of control unit 1;
S103) inhabitation personnel according to seasonal variations or itself need to update suitable body temperature value T in registration module 11i' and most It is suitable for air humidity value H '.
Specifically, user is slept according to habit when sleep using air-conditioning, or by several consecutive nights using air-conditioning The measurement of dormancy selects the temperature value of sleep the most comfortable to register the suitable body temperature value Ti', this is suitable for body temperature value Ti' it is also controller The temperature that control air-conditioning follows at any time.As needed, registration module 11 can be changed according to seasonal variations or outdoor temperature into Row updates at any time, for example summer optimal temperature is 19.5 DEG C, and winter is then updated to 26 DEG C, and to the user member newly increased Update can be added.
It is different most according to present position setting in Various Seasonal since air humidity is larger by season and regional influence It is suitable for humidity H ' and realizes that it is in the update of Various Seasonal duration.According to national standard, when cooling in summer, relative humidity with 40%~80% is advisable, and when winter heating, should control 30%~60%.The indoor humidity that old man and child are suitble to be 45%~ 50%, the indoor humidity that the patient of the respiratory tract system diseases such as asthma is suitable for is between 40%~50%.
Further, referring to shown in Fig. 2, step S2) include:
Second transmission module 17 of described control unit 1 and the first transmission module 24 of acquisition unit 2 pass through wireless blue tooth Communication mode carries out data transmission.
The temperature signal that sensor module 3 acquires is transferred to by the second transmission module 17 and the first transmission module 24 controls list Member 1, the present invention uses Bluetooth data transfer, specifically, after two bluetooth equipments establish connection, then one of equipment For server, major function is just to provide data, another equipment is user terminal, and major function is exactly to read and write the number of server According to.
In the present embodiment, 3 collection point of sensor module is server end, and the equipment end of control unit 1 is user terminal, ginseng It examines shown in Fig. 2, it is logical that the second transmission module 17 of described control unit 1 and the first transmission module 24 of acquisition unit 2 establish bluetooth Letter connection, by the collected true body temperature value T of each user's body temperature transducer 31i, indoor temperature and humidity sensor 32 obtain room Interior temperature value TinWith indoor humidity value HinIt is transmitted to memory module 13, equipment end is notified that user terminal temperature data has updated, and uses Family end will read the temperature data of update.If leading to communication disruption for some reason in program operation process, Equipment end and user terminal can be attempted to re-establish connection.If connection is unsuccessful, equipment end will restart to broadcast.When Equipment end completes one-time detection and transmission, after waiting 2 seconds, will do it detection and transmission next time.
Further, the step S3) it include writing subordinating degree function and fuzzy rule, fuzzy controller is designed, it will Temperature optimization process is written as code and imports in control unit 1;
Control module 18 is used to guarantee real-time, accuracy and the comfort level that air-conditioner temperature is adjusted, using adaptive mode It pastes PID controller and indoor environment comfort level optimization actuator realizes intelligent control process;Specifically, being divided into following two step It is rapid:
Registration module 11 is obtained optimum temperature value T ' and synthesis temperature value T and carried out by the first step with fuzzy control principle Compare to obtain deviation e, using deviation e and deviation variation rate ec as the input quantity of fuzzy control, separately designs 3 fuzzy controls Device optimizes 3 parameters of PID.Its temperature adjustment control principle is refering to shown in 3, collected synthesis temperature value T and most thermophilic The deviation e and deviation variation rate ec of angle value T ' passes through the fuzzy reasoning operation of fuzzy controller, including fuzzy reasoning table Establish, can be summarized by practical experience and expert to design, the result that fuzzy operation obtains as the input quantity in PID adjusting, An output variable u (k) is obtained using PID regulator operation, as the refrigeration and heating capacity of k moment air-conditioning, the step Target be make body temperature in real time, accurately track optimum body temperature.
Second step, although the first step can make, body temperature is real-time, accurately tracks optimum body temperature, when coordinating room temperature It is easy to appear the too fast problem of temperature change, and indoor humidity is more when is not at optimal, and it is excessively dry air usually occur The case where.Therefore present invention introduces indoor environment comfort level optimization systems.It is indoor environment comfort level optimization process in next step.
As shown in fig.4, smart home air-conditioning indoor environment comfort level optimization system can be described as the form of state equation, I.e.
X (k+1)=f (x (k), u (k), d (k)) (1)
Wherein, x (k) is the state vector of t moment;
U (k) is output variable obtained in the first step;
D (k) is external disturbance.
The state x (k) of indoor t moment is expressed as
X (k)=[Tin(k),Hin(k)] (2)
Wherein, TinIt (k) is k moment room temperature, HinIt (k) is k moment indoor humidity.
To simplify operation, the present invention is using common Temperature Humidity Sensor product completes Indoor Temperature on the market in the prior art Spend the acquisition of humidity.Existing air-conditioning on the market only built-in temperature sensor and is placed on the air inlet position of indoor unit panel, It arranges that room temperature can generally be made to be to be unevenly distributed in this way, the room temperature of acquisition may not be accurate.
The present invention is to obtain the room temperature for being most suitable for user, is respectively set in the common head of a bed of user and desk warm and humid Spend product sensor.And pass through Bluetooth transmission, it is contemplated that two kinds of most common situations: when user's sleep, positioned at the room of the head of a bed Interior Temperature Humidity Sensor 32 works;When user job, the indoor temperature and humidity sensor 32 positioned at desk works.
For k+1 moment room temperature, it is represented by k moment room temperature, the ventilation quantity of exhaust fan and the refrigeration of air-conditioning With the linear function of heating capacity, i.e.,
Tin(k+1)=Tin(k)+β1u(k) (3)
Similarly, k+1 moment indoor air humidity is represented by
Hin(k+1)=Hin(k)+β2|H'-Hin(k)| (4)
Wherein, β1、β2It is the model parameter for needing to recognize, which can be tested based on Model Distinguish, be estimated using least square Meter obtains.
Indoor environment comfort level optimization purpose be: body temperature in real time, accurately track optimum body temperature in the case where so that Indoor environment comfort level perceives optimal state all in user at each moment, and therefore, building objective function is as follows
In formula, J (k) is indoor environment comfort level;xinIt (k) is k moment indoor environment good-bad coefficient;N is optimization time-domain; xsVector is set for comfort level, is determined by T ' and H ' in registration module 11;V is matrix representated by comfort quantity,α is the weight coefficient of comfort level in optimization process.
Constraint condition is as follows:
The discrete state of a control space of air-conditioning room temperature is
U=-2, -1.9 ..., 0,0.1,0.2 ..., 1.9,2 } (6)
It is 16 DEG C that corresponding temperature, which adjusts minimum aperture, and maximum opening is 26 DEG C, and control precision is 0.5 DEG C.
The discrete state of a control space of air-conditioning indoor humidity is
U=-2, -1.9 ..., 0,0.1,0.2 ..., 1.9,2 } (7)
Corresponding regulation of relative humidity minimum aperture is 30%, maximum opening 80%, and control precision is 1%.
So far, indoor environment comfort level Optimized model is constructed, using APSO algorithm to the control in model Device parameter alpha optimizing, so that the environmental degree of comfort that user perceives when sleeping is optimal.
Specifically, using parameter to be optimized as the particle of population, seek optimal according to algorithm steps iteration shown in Fig. 5 Solution.
Further, step S4) operating mode include:
S401) single player mode;
Directly true body temperature value and its preference temperature value are compared under single player mode, pass through fuzzy controller pair Temperature carries out closed-loop control, so that it is rapidly achieved optimal temperature value, and track at any time;
S402) multi-player mode;
Control unit 1 sets respective weight w according to indoor occupant significance level under the modei, to realize most thermophilic The COMPREHENSIVE CALCULATING of angle value T ' and synthesis temperature value T, i.e.,
T '=T1′ω1+T2′ω2+T3′ω3 (8)
T=T1ω1+T2ω2+T3ω3 (9)
The deviation e and deviation variation rate ec of optimum temperature value T ' and synthesis temperature value T are input to designed adaptive In fuzzy controller, obtain output variable u (k), as the refrigeration and heating capacity of air-conditioning, make body temperature in real time, accurately track most Thermophilic angle value T ';
It recycles indoor environment comfort level Optimized model to optimize indoor humidity, is at users'comfort and reaches It is optimal.
For the ease of the explanation of embodiment, in the present embodiment, for domestic environment can be single mould that a people stays alone Formula, or the multi-player mode of the same more people's coexistences in bedroom below describes to embodiment in detail.
It is shown referring to Fig.1 if the bedroom number of users for installing air-conditioning is 1, select single player mode, only one T1′.If making It is greater than 1 with the number of members of air-conditioning, selects multi-player mode, then generate multiple Ti′.For the ease of the explanation of embodiment, this implementation More human feelings shapes are set as common three human feelings shape of parent baby in example, are denoted as T1', T2', T3'.The optimum temperature value in bedroom at this time T ' be according to the respective suitable body temperature value T of three peoplei', i.e. T1', T2', T3' and corresponding weight wiIt is calculated, wherein weighing Weight wiIt is calculated by expert graded, is denoted as ω respectively1、ω2、ω3.Expert graded is a few peoples or expert according to warp It tests and makes weight w after considering certain evaluated viewsi, weight wiIt can be by user according to the actual situation or number is suitably modified after setting Or it updates.In the present embodiment, rule of thumb and its information that gets, it is known that infant skin is the quickest for the variation of temperature Sense is also easiest to because blowing the improper generation for causing cat fever phenomenon of air-conditioning, the optimum temperature of baby is most important , by its weights omega1It is set as 50%;Rule of thumb and consider relevant evaluation viewpoint, the in general relatively male owner of the hostess Constitution is weaker, higher to the susceptibility of air-conditioner temperature variation, can be by weights omega2It is set as 30%;Remaining male's owner's weights omega3For 20%.
Therefore, bedroom optimum temperature value T ' is when more human feelings conditions
T '=T1′ω1+T2′ω2+T3′ω3 (10)
If the bedroom member for installing air-conditioning is one, i.e. single player mode, acquisition unit 2 only collects an individual temperature value T1, It can be directly as the input of control module 18;
If installing the bedroom artificially more people, i.e. multi-player mode of air-conditioning, then synthesis temperature value is
T=T1ω1+T2ω2+T3ω3 (11)
Further, the step S5) in control unit 1 control air-conditioning and adjust wind speed, temperature and air humidity.
Specifically, it is issued and is instructed by control module 18, execution module 16 issues execution order as air-conditioning after receiving instruction The input of thermoregulating system, control fan motor work, recycles indoor environment comfort level Optimized model to carry out indoor temperature and humidity Optimization, is at users'comfort and is optimal.The control effect of this link are as follows: user's body temperature real-time tracking optimum temperature Value T ', meanwhile, the variation of room temperature will not mechanically change and cause room temperature fluctuated, but according to user's body Temperature and indoor actual conditions, which are independently found, makes user feel that the mode of the most comfortable changes.
In conclusion obtaining indoor member in sky according to historical experience or the temperature test by repeatedly debugging air-conditioning Suitable body temperature value T under adjustingi' and optimum air humidity value H ', which is recorded and stored to memory module 13, it is suitable to complete Body temperature value Ti' the registration with optimum air humidity value H ', user also according to seasonal variations or itself can carry out being suitable for body Temperature value TiBluetooth communication is opened in ' the update with optimum air humidity value H ', and each user's body temperature transducer 31 is collected True body temperature value Ti, indoor temperature and humidity sensor 32 obtain indoor temperature value TinWith indoor humidity value HinIt is transmitted to memory module 13, subordinating degree function and fuzzy rule are write, fuzzy controller is designed, temperature optimization process is written as code and imports control In molding block 18, operating mode is selected, output variable u is calculated in the parameter self-tuning fuzzy PID controller in control module 18 (k), as the refrigeration of air-conditioning and heating capacity, make body temperature in real time, accurately track optimum body temperature, recycle indoor environment comfort level Optimized model optimizes room temperature, is at users'comfort and is optimal.
The present invention passes through true body temperature value Ti, indoor temperature value TinWith indoor humidity value HinWith the suitable body temperature value Ti′、 The comparison result of optimum air humidity value H ' adjusts the temperature and humidity of intelligent air condition and the application of parameter self-tuning fuzzy PID controller Optimum temperature value when air-conditioning realizes its sleep of user's body temperature real-time tracking can be controlled, comfortable sleep environment is built;Pass through The comfortable Optimized model of indoor environment is constructed, indoor user comfort level optimizes, and is conducive to improve users'comfort and matter of sleeping Amount;The weight w that the present invention passes through more peopleiIt calculating, considers the coordination problem that air-conditioning uses under the more people of family, intelligence degree is high, Guarantee user environment comfort, is suitble to use in the family.
Basic structure of the invention, operating method and advantages of the present invention is described in detail above, still, the present invention is not It is limited to this, it within the scope of the technical concept of the present invention, can be including each with various simple variants of the technical solution of the present invention are made A technical characteristic is combined with any other suitable method, these simple variants and combination equally should be considered as institute of the present invention Disclosure all belongs to the scope of protection of the present invention.

Claims (10)

1. a kind of smart home air-conditioner control system, which is characterized in that the smart home air-conditioner control system includes:
Acquisition unit (2), true body temperature value T of the acquisition unit (2) for member in real-time collection roomi, indoor temperature value TinWith indoor humidity value Hin
Control unit (1), the control unit (1) are stored with the suitable body temperature value T of indoor memberi' and optimum air humidity value H ', and the collected true body temperature value T of the acquisition unit (2) can be receivedi, indoor temperature value TinWith indoor humidity value HinData;Also,
Described control unit (1) is according to true body temperature value Ti, indoor temperature value TinWith the suitable body temperature value Ti' comparison result The temperature for adjusting intelligent air condition, according to indoor humidity value HinIntelligent air condition is adjusted with the comparison result of optimum air humidity value H ' Humidity.
2. smart home air-conditioner control system according to claim 1, which is characterized in that the acquisition unit (2) includes:
Sensor module (3), including for measuring the true body temperature value TiUser's body temperature transducer (31) and for measuring State indoor temperature value TinWith indoor humidity value HinIndoor temperature and humidity sensor (32);
Single-chip microcontroller (22);
Power module (23), the power module (23) are connected to the single-chip microcontroller (22) for power supply;
Transmit circuit (21) and reception circuit (28), the single-chip microcontroller (22) is by the transmit circuit (21) and receives circuit (28) Signal is connected to the sensor module (3) can obtain data from the sensor module (3);
Signal amplifier (25), signal modulator (26) and the counter (27) being connect with the single-chip microcontroller (22);And
First transmission module (24), described control unit (1) receive the true body temperature value by first transmission module (24) Ti, indoor temperature value TinWith indoor humidity value HinData.
3. smart home air-conditioner control system according to claim 1, which is characterized in that described control unit (1) includes:
Control module (18), the control module (18) are exported to after the Data Analysis Services that the acquisition unit (2) receives Order carries out temperature scaling factor to the intelligent air condition;
Registration module (11), the registration module (11) are used to register the suitable body temperature value T of indoor memberi' and optimum humidity H ';
It can show the display module (12) of the Temperature changing situation of indoor member;
Memory module (13) for data storage;
Alarm module (15), the alarm module (15) are used for the true body temperature value T of indoor memberiWhen more than normal body temperature range to Extraneous signal an alert;
Execution module (16), the execution module (16) control intelligent air condition after receiving the order that control module (18) issue Wind speed, temperature and air humidity;
Second transmission module (17), which can connect with the acquisition unit (2) carries out data exchange.
4. smart home air-conditioner control system according to claim 3, which is characterized in that
Parameter self-tuning fuzzy PID controller built in the control module (18) and indoor environment comfort level optimize actuator;
Control module (18) burning has intelligent algorithm (14), adaptive Fuzzy PID Control built in the intelligent algorithm (14) Algorithm and indoor environment comfort level optimization algorithm.
5. smart home air-conditioner control system according to claim 4, which is characterized in that the indoor environment is excellent comfort The method for changing actuator optimization is adaptive particle swarm optimization algorithm.
6. a kind of control method of smart home air-conditioner control system, which is characterized in that the control method the following steps are included:
S1 the suitable body temperature value T of indoor member) is obtainedi' and optimum air humidity value H ', it is suitable for body temperature value T by thisi' He Shi Suitable air humidity value H ' is registered to registration module (11);
S2) by the collected true body temperature value T of acquisition unit (2)i, indoor temperature value TinWith indoor humidity value HinIt is transmitted to control Unit (1) storage;
S3 subordinating degree function and fuzzy rule) are write, fuzzy controller is designed, temperature optimization process is written as code and is led Enter in control unit (1);
S4) by being suitable for body temperature value Ti' and true body temperature value TiDetermine optimum temperature value T ' and synthesis temperature value T, then by most thermophilic Angle value T ' and synthesis temperature value T optimize room temperature, by optimum air humidity value H ', indoor humidity value HinThe interior and Environmental degree of comfort Optimized model optimizes indoor air humidity;
S5) regulating system of control unit (1) control intelligent air condition adjusts wind speed, temperature and air humidity.
7. the control method of smart home air-conditioner control system according to claim 6, which is characterized in that step S1) packet It includes:
S101) according to historical experience or the temperature test by repeatedly debugging air-conditioning, it is suitable under air-conditioning to obtain indoor member Suitable body temperature value Ti' and optimum air humidity value H ', and registered in registration module (11);
S102) by suitable body temperature value Ti' store with optimum air humidity value H ' to the memory module of control unit (1) (13);
S103) inhabitation personnel according to seasonal variations or itself need to update suitable body temperature value T in registration module (11)i' and optimum Air humidity value H '.
8. the control method of smart home air-conditioner control system according to claim 6, which is characterized in that step S2) packet It includes:
The second transmission module (17) of described control unit (1) and first transmission module (24) of acquisition unit (2) pass through wireless Blue-tooth communication method carries out data transmission.
9. the control method of smart home air-conditioner control system according to claim 6, which is characterized in that step S4) packet It includes:
S401) single player mode;
Directly true body temperature value and its preference temperature value are compared under single player mode, by fuzzy controller to temperature Closed-loop control is carried out, so that it is rapidly achieved optimal temperature value, and track at any time;
S402) multi-player mode;
Control unit (1) sets respective weight w according to indoor occupant significance level under the modei, to realize optimum temperature value The COMPREHENSIVE CALCULATING of T ' and synthesis temperature value T, i.e.,
T '=T1′ω1+T2′ω2+T3′ω3
T=T1ω1+T2ω2+T3ω3
The deviation e and deviation variation rate ec of optimum temperature value T ' and synthesis temperature value T are input to designed adaptive fuzzy In PID controller, obtain output variable u (k), as the refrigeration and heating capacity of air-conditioning, make body temperature in real time, accurately track most thermophilic Angle value T ';
It recycles indoor environment comfort level Optimized model to optimize indoor humidity, is at users'comfort and reaches most It is excellent.
10. smart home air conditioning control method according to claim 8, which is characterized in that the weight wiDetermination method For expert graded.
CN201910732812.8A 2019-08-09 2019-08-09 A kind of smart home air-conditioner control system and control method Pending CN110454919A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910732812.8A CN110454919A (en) 2019-08-09 2019-08-09 A kind of smart home air-conditioner control system and control method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910732812.8A CN110454919A (en) 2019-08-09 2019-08-09 A kind of smart home air-conditioner control system and control method

Publications (1)

Publication Number Publication Date
CN110454919A true CN110454919A (en) 2019-11-15

Family

ID=68485522

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910732812.8A Pending CN110454919A (en) 2019-08-09 2019-08-09 A kind of smart home air-conditioner control system and control method

Country Status (1)

Country Link
CN (1) CN110454919A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112240636A (en) * 2020-10-15 2021-01-19 深圳市建滔科技有限公司 Intelligent household appliance comfort level adjusting system based on ZigBee
CN112944634A (en) * 2021-03-25 2021-06-11 北京小米移动软件有限公司 Air conditioner control method and device and air conditioner
CN113110649A (en) * 2021-03-24 2021-07-13 北京戴纳实验科技有限公司 Intercellular indoor temperature and humidity linkage control method and system
CN113551383A (en) * 2021-07-19 2021-10-26 新疆爱华盈通信息技术有限公司 Intelligent temperature control switch air conditioner
CN116774600A (en) * 2023-08-17 2023-09-19 深圳小米房产网络科技有限公司 Intelligent home controller and method based on self-adaptive control technology

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009069539A1 (en) * 2007-11-28 2009-06-04 Daikin Industries, Ltd. Air conditioning apparatus
JP2014190600A (en) * 2013-03-27 2014-10-06 Panasonic Corp Air conditioner
EP3029389A2 (en) * 2014-12-04 2016-06-08 Delta Electronics, Inc. Controlling system for environmental comfort degree and controlling method of the controlling system
CN105674490A (en) * 2016-01-27 2016-06-15 珠海格力电器股份有限公司 Method, device and system for controlling operation parameters of air conditioner
CN105757904A (en) * 2016-04-05 2016-07-13 上海师范大学 Adaptive air conditioner on basis of wearable equipment
CN106679073A (en) * 2016-12-01 2017-05-17 青岛海尔空调器有限总公司 Variable frequency air conditioner control method
CN106885333A (en) * 2017-01-13 2017-06-23 广东美的制冷设备有限公司 Air-conditioner control method, controller and air-conditioner
CN107525243A (en) * 2017-08-10 2017-12-29 珠海格力电器股份有限公司 The control system and method for air-conditioner temperature
CN108088034A (en) * 2017-11-17 2018-05-29 盐城天顺机械科技有限公司 A kind of air-conditioner control system

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009069539A1 (en) * 2007-11-28 2009-06-04 Daikin Industries, Ltd. Air conditioning apparatus
JP2014190600A (en) * 2013-03-27 2014-10-06 Panasonic Corp Air conditioner
EP3029389A2 (en) * 2014-12-04 2016-06-08 Delta Electronics, Inc. Controlling system for environmental comfort degree and controlling method of the controlling system
CN105674490A (en) * 2016-01-27 2016-06-15 珠海格力电器股份有限公司 Method, device and system for controlling operation parameters of air conditioner
CN105757904A (en) * 2016-04-05 2016-07-13 上海师范大学 Adaptive air conditioner on basis of wearable equipment
CN106679073A (en) * 2016-12-01 2017-05-17 青岛海尔空调器有限总公司 Variable frequency air conditioner control method
CN106885333A (en) * 2017-01-13 2017-06-23 广东美的制冷设备有限公司 Air-conditioner control method, controller and air-conditioner
CN107525243A (en) * 2017-08-10 2017-12-29 珠海格力电器股份有限公司 The control system and method for air-conditioner temperature
CN108088034A (en) * 2017-11-17 2018-05-29 盐城天顺机械科技有限公司 A kind of air-conditioner control system

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112240636A (en) * 2020-10-15 2021-01-19 深圳市建滔科技有限公司 Intelligent household appliance comfort level adjusting system based on ZigBee
CN113110649A (en) * 2021-03-24 2021-07-13 北京戴纳实验科技有限公司 Intercellular indoor temperature and humidity linkage control method and system
CN113110649B (en) * 2021-03-24 2022-07-26 北京戴纳实验科技有限公司 Intercellular indoor temperature and humidity linkage control method and system
CN112944634A (en) * 2021-03-25 2021-06-11 北京小米移动软件有限公司 Air conditioner control method and device and air conditioner
CN113551383A (en) * 2021-07-19 2021-10-26 新疆爱华盈通信息技术有限公司 Intelligent temperature control switch air conditioner
CN116774600A (en) * 2023-08-17 2023-09-19 深圳小米房产网络科技有限公司 Intelligent home controller and method based on self-adaptive control technology

Similar Documents

Publication Publication Date Title
CN110454919A (en) A kind of smart home air-conditioner control system and control method
CN107631423B (en) A kind of air-conditioner control method and air conditioner based on position of human body
US10422543B2 (en) Remote control of an HVAC system that uses a common temperature setpoint for both heat and cool modes
CN107525237B (en) Intelligent air conditioner control method and intelligent air conditioner
JP6765963B2 (en) Climate controller
EP3734181B1 (en) Enclosure cooling using early compressor turn-off with extended fan operation
EP2431674B1 (en) HVAC schedule with designated off periods
TWI435038B (en) Air conditioning control device and method thereof
CN108344126A (en) Air handling system, the indoor unit of air handling system and the method that controls it
CN104764151A (en) Control method of air conditioner
CN108061365A (en) Control method, radiation air-conditioner device and the storage medium of radiation air-conditioner device
CN110410964A (en) The control method and control system of air conditioner
CN101583830A (en) Air conditioning blow out panel, air conditioning control system provided with the air conditioning blow out panel and air conditioning control method
CN105042813A (en) Frequency conversion air conditioner control method
CN105605726B (en) A kind of air conditioner energy saving control method and device
CN110425698A (en) A kind of air conditioning control method and device of user preference self study
CN108332375A (en) Air-conditioner control method, electronic equipment and computer readable storage medium
CN111442462A (en) Temperature control equipment control method and device and temperature control system
CN108286781A (en) Air-conditioner control method, electronic equipment and computer readable storage medium
CN103851744A (en) Method and device for controlling air conditioner
CN109945463A (en) Artificial environment control system and its operation method with superminiature unmanned plane
CN113494755A (en) Intelligent terminal and indoor air conditioning method
CN208059198U (en) A kind of multi-evaporator inverter air conditioner system energy management monitoring system
CN106091247A (en) Remotely control single-cooling air-conditioner Based Intelligent Control operation method
CN1191293A (en) Intelligent fuzzy logic controlling method for air conditioner

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB03 Change of inventor or designer information

Inventor after: Luo Xiaoyan

Inventor after: Xie Yun

Inventor after: Liu Xin

Inventor after: Zhang Xuan

Inventor after: Zhang Danrong

Inventor before: Luo Xiaoyan

Inventor before: Deng Tao

Inventor before: Liu Xin

Inventor before: Zhang Xuan

Inventor before: Zhang Danrong

CB03 Change of inventor or designer information
RJ01 Rejection of invention patent application after publication

Application publication date: 20191115

RJ01 Rejection of invention patent application after publication