CN1100797A - Control device and method for domestic intelligent air conditioner - Google Patents

Abstract

The control model is based on inventor's language field theory, inference model of cause and effect relation and inference mechanism, its control algorithm uses sheared knowledge base, general algorithm, self-optimization algorithm and self-organization processing, its control strategy uses cross combination of instant static state flow process and dynamic flow process to control multiple parameters, it features full automation, self-adaption, multiple functions, energy saving and low cost.

Description

Control device and method for domestic intelligent air conditioner

The present invention relates to the control technology of air-conditioner, particularly about a kind of control device and control method with full-automatic intelligent air-conditioner of adaptation function.

From the control system of domestic air conditioner and opinion, existing technology can be summed up as two classes: a class is the classical control based on information feedback system (theoretical foundation is id figure).This control system comprehensively does not implement that multifactorial compound integration control strategies such as temperature, humidity, air velocity, air purity are not had adaptive ability, rely on fully the people during the course the setting participation and realize that automaticity is not high; Can only freeze (summer) with heat (winter), not automatically mutually conversion, function is also incomplete; Do not consider outdoor to indoor at the actual influence aspect the temperature.Another kind of is fuzzy control (theoretical foundation is FUZZY set theory and FUZZY logic).This control system is not considered the influence of indoor/outdoor temperature-difference to indoor comfort temperature interval; In the comprehensive language field, do not construct multifactor compound control strategy with unified general-purpose algorithm; There is not " automatically " (only connect power supply, all Automatic Control need not anyly be set) veritably; There is not very strong " self adaptation " ability; In control law, there is not the situation of " completion " to conclude; Only once syntheticly in algorithm form conclusion, and do not have complete, knowledge-based secondary is synthetic to form conclusion; , do not catch cause and effect induction mechanism according to the principle of " control is the prerequisite that exists for causality and possible world ", and only can be according to the uncertain information FUZZY reasoning of deducing; The most important thing is not a large amount of summaries, conclude and quantize human existing " experience and knowledge " about the comfort level aspect, " experience and the knowledge " that can not come adaptive control system itself to have according to the variation of ambient environmental conditions, can not be according to self-organizing, from searching process, go to reach control action and surrounding environment harmonious-promptly reach people's optimal comfort attitude.

Therefore, the development trend of current international air-conditioning technical is to make the control system of air-conditioner realize intelligent, and in order to produce intelligent air-conditioning equipment, just must at first on control strategy, have breakthrough, just can produce the air-conditioning product of update, based on this thought, the inventor has finished the present invention.

The purpose of this invention is to provide a kind of full-automatic intelligent air-conditioner control method and control system with adaptation function.

The realization of above-mentioned purpose at first is to build on the basis of new fundamental research achievement, and has formed a whole set of research system of basic theory-application foundation-application technology.The theoretical result part of this invention is published in " intelligence and logic " collection of thesis (industry publishing house of China Electronics, in November, 1993), and the new control strategy that is proposed in this system can be summarized as follows:

The theoretical foundation of control strategy

(1) frame is described: " linguistic field and language value structure "-basic conception, isomorphism theorem, extension theorem have been proposed, various types of properties has been discussed.For knowledge representation method, realized the conversion from the state space to the linguistic field as the quantification of temperature, humidity, air purity and the result's of reason comfort level.

(2) causality qualitative reasoning model: in single linguistic field and comprehensive language field, inference mechanism part in the air-conditioner control has been discussed, the computation model and the algorithm flow of complicated inference are here proposed, this algorithm has universality-be suitable for causal all kinds such as temperature, humidity, this universality algorithm has reduced program operating procedure and memory space, set up " sharing knowledge base ", algorithm is divided into two classes: a class is the parallel type algorithm in the single linguistic field; Another kind of is string type algorithm in the comprehensive language field.

(3) design of control strategy:

1) comprise two big classes:

The first kind: instantaneous static policies design:

Adopt the parallel type algorithm in the single linguistic field

Second class: the dynamic strategy design of process;

On the basis of instantaneous static policies design, investigate under intensification (wetting), cooling processes such as (wetting) change, the specific needs of randomized policy (summation of experience and knowledge), in addition additional New Policy designs.

2) whole control process adopts in real time and closed loop feedback control.

3) according to the variation of environmental condition, but the self-regulation interval parameter can carry out " synthesizing "-self-organizing control from combinatorial matrix.

4) the realization purpose of control strategy is to make " vibration " in the field, the left and right sides in key element pairing comfort level intervals under the specified conditions environment such as temperature and humidity (at progressive formation slowly), and from the angle of sequential and opinion is convergence-self-optimizing control.

5) except that the design of main body control strategy, also consider design at auxiliary control strategies such as compressor protection, specific demand (as people's physique difference), fault-toleranr techniques.

Describe the control method and the control device of air-conditioner of the present invention in detail below in conjunction with accompanying drawing.

Description of drawings:

Fig. 1 is the flow chart of control method of the present invention.

Fig. 2 is the structural representation of control device of the present invention.

Fig. 3 A, 3B, 3C and 3D are the circuit diagrams of each embodiment of control device of the present invention.

Control flow of the present invention can be divided into importation, instantaneous static flow process part, process dynamic flow part and output four-stage as shown in Figure 1.

(1) importation comprises two steps:

1. system initialization: parameter, clock, sampling process parameter that system mode is set.

The setting of parameter of the present invention is according to international and domestic relevant criterion, has determined quantized interval.Major parameter is as follows:

One of important feature of the present invention, be to have broken traditional general layout of only considering indoor temperature control, consider that also outdoor temperature changes the actual influence (being temperature difference factor) to indoor temperature change generated in case, anti-" air conditioner comprehensive disease ", and the adaptivity of the system of embodiment.

For refrigeration: if 1 ℃ of the every increase of outdoor temperature (minimizings), cunning (downslide) 0.36 ℃ on the then indoor comfort temperature interval.For heating: as if 1 ℃ of the every increase of outdoor temperature (minimizing), sliding (downslide) 0.30 ℃ on the then indoor comfort temperature interval.

In addition, also can carry out special adjusting, promptly consider the strong and weak difference of regional difference and people's physique, be provided with ± 2 ℃ manual adjustments switch, can permanently keep going up sliding or glide 2 ℃ comfort level is interval according to special requirement according to special requirement.

2. system's current state sampling input comprises: physique on off state, smog switch state, indoor temperature state, the time interval etc.Main process has: frequency to conversion, the fault-tolerant processing of actual numerical value, write down to conclude system state change trend, time counting etc.

A. the sampling of system mode input is the state (as temperature, humidity, flue dust) that utilizes sensor detecting system, sample frequency be per 3 seconds once.Usually adopt temperature-sensitive (or wet quick) resistance type sensor, obtain corresponding analog signal, be converted to frequency signal by simulation/freq converting circuit again, the frequency signal of this conversion again through the sensing transmission circuit realize from the frequency to the temperature, the conversion of the actual numerical value of humidity.Conversion adopts following empirical equation to finish:

I) resistance and frequency inverted formula:

The resistance of R-temperature-sensitive, moisture sensor

Ii) temperature and frequency inverted formula:

（22.5～47.5℃）：X＝ (Y-930)/27.52 +22.5（Y≥930）

（12.5～22.5℃）：X＝ (Y-660)/27.52 +12.5（660≤Y＜930）

（-5～12.5℃）：X＝ (Y-397)/21.04 （Y＜660）

X-measured temperature value, ℃

The Y-frequency value corresponding, Hz

Iii) humidity and frequency inverted formula: (is in the adjacent city of central point at 26.5 ℃)

X＝ (Y-207)/113 +46

X＝ (Y-320)/243 +47

Relative humidity that X-surveys, %

The Y-frequency value corresponding, Hz

B. fault-tolerant processing:

In order to improve the stability of a system, reduce the accidental error of input data, the input data are taked the average fault-toleranr technique, after being about to present input data and preceding 4 times data and averaging, with the input data of this average as this, like this system's input data are played certain smoothing effect, improved the input data reliability.

C. the dynamic adjustments of system mode:

By this with last time imported data relatively, judge the change direction of system's current state, for example heat, fall wet etc.

(2) instantaneous static flow process part: as shown in Figure 1, comprise following five steps:

1. according to input Adjustment System parameter, decision is adopted refrigeration or is heated algorithm:

Comprise: adjust between the thick dividing regions of temperature according to the physique on off state; Adopt where overlap algorithm according to outdoor temperature and current state decision.Refrigeration, heat with 18 ℃ of outdoor temperatures to be the boundary, to change when being in the full cut-off state in system.

Adopt the general-purpose algorithm pattern: freeze and heat, and temperature and humidity all adopting same algorithm pattern, only is that separately parameter difference or change direction is different with the control purpose.Thereby both reduced the complexity of algorithm, and reduced search again and taken up room.

2. interpolation processing: comprise temperature and humidity is slightly divided interpolation, thereby determined type provides original vector and represents.Adopt control in real time,, be converted into the quantization means of language value immediately, and sort out, for following reasoning is prepared temperature, the humidity sample data that obtains.

Computing formula is as follows:

The non-standard sample of t-in the formula, current input value,

t ₀The data of-master sample,

The L-siding-to-siding block length,

A _{A left side}The adjacent state standard vector an in-non-standard sample left side,

A _RightThe right adjacent state standard vector of-non-standard sample.

Obtain a vectorial K by following formula _t

Work as A _{A left side}Or A _RightBe 0 vector (be non-standard sample point drops on whole indoor when reaching left end between temperature, humidity province or right-hand member, do specially treated).

For example: when heating, when the input indoor temperature is t=2 ℃, adopt interpolation formula:

$A_R\·(1-\frac{|t-(-5)|}{2[11-\left(5\right)]})$

Obtain a vector representation note and make K _t, A wherein _RIt is a certain criteria vector.

Last calculating K _tWith each standard vector A _R, A _P, A _T, A _Q, A _SDistance, to determine corresponding type, i.e. one of R, P, T, Q, S class.

3. from the optimizing matrix:

According to the type of determining behind the described input data interpolating, the object-matrix M of selected " synthesizing " in " sharing knowledge base ".

Described " sharing knowledge base " is made of following set of matrices:

At first form cause and effect and become (shape) attitude table in the master sample space, form is as follows:

∧ (the A of result vector S=Apo[(Ap → Su) wherein _P→ Su ')] (synthetic for the first time), (annotate: U and U ' refer to one of five kinds of states of R, P, T, Q, S respectively)

For A _P, 5 result vectors that belonged to same minor premise by above-mentioned class can constitute a knowledge matrix.For A _R, A _T, A _Q, A _S, as the same.

The set of above-mentioned matrix has constituted " sharing knowledge base ".

4. synthetic calculation

By the state vector K that determines after the described interpolation _tSynthesize with selected matrix M, promptly

K _t·M＝B

B indicates comfort level

5. cluster:

Standard vector (S according to the expression comfort level of storing in vectorial B and the knowledge base ^* _R, S ^* _P, S ^* _T, S ^* _Q, S ^* _B, represent the ascending different conditions of comfort level respectively), calculate the hamming distance.

$d=\underset{k=1}{\overset{n}{\mathrm{\Σ}}}|\mathrm{\μ}\left(X_K\right)-\mathrm{\μ}\·\left(X_K\right)|$

μ (X _KEach coordinate of)-comfort level vector

D-hamming distance

According to pressing close to principle, B and which standard vector are apart from minimum, and then which class B belongs to.

6. conclude the control action type: comprise by operating states such as the pairing compressor of comfort level type, fan, humidifier, draft fans.

Owing to set corresponding to variant vectorial S in advance ^* _R-S ^* _SSo, just definite with the above-mentioned corresponding action group of vectorial B.

7. judge to be in instantaneous static treatment this moment, still process dynamic process, as if belonging to the former, the execution actuating signal of output action group then; If belong to the latter, then carry out temperature control (or wet control) action and adjust, carry out along subsequent step shown in Figure 1, thereby enter output.

The condition of static state or dynamic process is:

Refrigeration: reducing to by high temperature in the process of low temperature, below the high temperature end points in comfort level interval, taking the control strategy of process dynamic process; Under all the other conditions, all take the control strategy of instantaneous static treatment;

Heat: rising to by low temperature in the process of high temperature, more than the low temperature end points in comfort level interval, taking the control strategy of instantaneous static treatment.

In this a part of flow process, characteristics of the present invention are to utilize logic reasoning (be not fuzzy reasoning, but intelligentized causality qualitative reasoning), make up the control model.It is the collective model that the knowledge model based on " experience and knowledge " combines with Mathematical Modeling.It is different from comes modeling according to correlation curves (id figure) such as temperature, humidity, air velocities in the classical control, also is different from the fuzzy control, and (incomplete situation conclusion) comes modeling by fuzzy reasoning based on control law.The processing body of process has gone out the self-organizing performance.

(3) process dynamic flow part: as shown in Figure 1, comprise three steps:

1. the temperature control action is adjusted.Comprise development trend, adjust the temperature control action, keep previous action or the like when moving to the comfort zone as system according to temperature system state in the control procedure.

Specify the embodiment of temperature control process below:

A. refrigeration: (outdoor temperature more than or equal to 18 ℃ time take refrigeration)

A. when outdoor temperature was 27-38 ℃, indoor comfort temperature interval was 24-28 ℃ (according to an international standard), carried out the one-period circulation from high temperature to low temperature, and is as shown below:

Annotate: (1) (opening, strong)-expression compressor start, blow high wind; The rest may be inferred by analogy for it.

(2) as seen in the ordinary course of things, center on about comfort zone " vibration " basically.

When (3) outdoor temperature is not in 27-38 ℃ of scope, every ± 1 ℃, the interval left and right sides of indoor comfort temperature endpoint value ± 0.36 ℃ (promptly considering of the influence of indoor and outdoor temperature difference) to the comfort temperature interval.

B. the circulation of the one-period from low temperature to high temperature: under these conditions, when being lower than 28 ℃, be in (stop, stop) state always, in 28 ℃ of neighborhoods, enter states such as (opening, weak) then; To repeat above-mentioned circulation during cooling.

B. heat: (outdoor temperature less than 18 ℃ time take to heat)

A. when outdoor temperature is 0-10 ℃, between indoor comfort zone 19-22 ℃ (according to international standard).Carry out the one-period circulation from low temperature to high temperature, as shown below:

Annotate: (1) also centers on about comfort zone " vibration " as seen in the ordinary course of things basically.

When (2) outdoor temperature is not in 0-10 ℃ of scope, every ± 1 ℃, the interval left and right sides of indoor comfort temperature endpoint value ± 0.3 ℃.

B. the circulation of the one-period from high temperature to low temperature: under these conditions, when being higher than 19 ℃, be in (stop, stop) state always, in 19 ℃ of fields, enter states such as (opening, weak) then; To repeat above-mentioned circulation during intensification.

The mutual conversion of C. freezing and heating: the condition of (adapting to " four seasons type " requires) reversal valve (employing pump type heat) adhesive and relieving is:

A(1). freeze → when heating: outdoor temperature is less than 18 ℃, and compressor start, then adhesive (heating),

(2). heat → when freezing: outdoor temperature is more than or equal to 18 ℃, and compressor start, then decontrols (refrigeration).

B. from the angle of algorithm and opinion, only all be in (stop, stop) state when refrigeration and the algorithm that heats, and when being the boundary with place, chamber temperature, just realize the conversion of two covers (promptly freeze and heat) algorithm.

C. for freezing and heating, be in by (stopping, weak) state when (stop, stop) state transforms, or in 20 minutes, entering the comfort zone, promptly stopping weak wind this moment; Or open weak wind and stop again after 20 minutes.

D. working range:

Refrigeration: 18 ℃ to 43 ℃ (referring to the outdoor temperature interval), when being in below 18 ℃, transformation of ownership heat; When being in more than 43 ℃, handle during by 43 ℃.

Heat :-5 ℃ to 43 ℃.When being in below-5 ℃, compressor quits work generally speaking, but still can automatic humidification with change wind.When hardware device sophistication (if still can make compressor operating); When being in more than 43 ℃, (transferring to already and having freezed), handle during by 43 ℃.

2. wet control action is adjusted.Comprise by process the control action that influences humidity is investigated, guarantee to reach dynamic equilibrium in humidity is between its comfort zone.

Humidification: (algorithm is same as the adjustment algorithm)

During refrigeration, the comfort humidity interval is a 50%-70%(relative humidity, down together), be in 50% following person's humidification.

When heating, the comfort humidity interval is 40%-65%; Be in 40% following person's humidification.

There is the humidifier supply socket air-conditioner side, or draws its power line attached socket in addition, and the user is at one's convenience.

Drying is to realize that nature dries, and control when use dehumidifier (if, also can control automatically and dry).

3. time restriction adjustment.At least delayed time 3 minutes after comprising compression office, just can restart; More than 18 hours the time, restart after three minutes at least by force by close compressor greater than 43 ℃ and compressor continuous operation for outdoor temperature; Indoor comfort conditions continues to keep after one hour, and the self-starting ventilating fan is taken a breath, and promptly closes after 5 minutes; Thin and weak wind state duration is closed during greater than 20 minutes automatically.

In this process dynamic flow part, also include:

1. ventilate: (be used for preventing dust, increase anion concentration, remove peculiar smell etc., to keep air purity; Impel indoor air flows simultaneously).

The flue dust excess is (promptly greater than 0.15-0.3Mg/m ³), when surpassing a predetermined threshold value, starts smoke dust sampling fan; Count when being sampled as normal value, open again and promptly stopped in 5 minutes.

When being in comfort conditions, blew in and fanned 5 minutes in every interval in 1 hour.

2. ± 2 ℃ adjusting:

According to human body constitution and areal variation, at the switch of ± 2 ℃ of air-conditioner side settings.After the unlatching, will change indoor corresponding comfort temperature interval (being the comfort zone) automatically.

(4) output

As shown in Figure 1, comprise two steps:

1. complete control action: determine comprehensive output action group, reach multifactorial coordination control.

By the design of the resulting some control actions adjusted about temperature, humidity etc. of aforementioned process, carry out to this comprehensive, the comprehensive output action group of 8 output signals of formation.8 signals comprise: compressor, high wind, apoplexy, weak wind, the control signal of sweeping wind, reversal valve, humidification, draft switch.

2. air supply rate action control:

Signal by above-mentioned output moves by parts such as the compressor in the direct startup cooling and warming circulatory system, ventilation circulation system, the air humidifying systems such as power amplifier relay, fan, humidifiers.Everything is to be automatically performed by program itself entirely, and need not human-computer dialogue or manually regulation and control, thereby reaches real full-automation.

The circuit structure of intelligent air conditioner controller of the present invention comprises three parts, i.e. data sampling part, control section and action part as shown in Figure 2.

Data sampling partly comprises: outdoor temperature sensor, and indoor temperature, humidity, smoke gas sensor, the analog signal of temperature and humidity sensor output is delivered to the frequency signal that the sensing transmission circuit converts the measured value of representation temperature, humidity to.

Control section comprises: CPU, with the digital sensing transmission circuit that CPU directly links to each other, memory, driver, it also can connect one be used for special adjusting ± 2 ℃ of by-pass cockes.This CPU is the core control section of circuit, has the whole programs that realize aforementioned control method in the memory.After CPU receives frequency signal from outdoor temperature, indoor temperature and the humidity of the digital sensing transmission circuit of importation or flue dust, promptly carry out foregoing logical deduction by reasoning.The data-storing of CPU in running, extraction, modification etc. all are associated with memory, particularly are equipped with the knowledge base that a large amount of knowledge matrixes is constituted in memory, can call at any time.The output of CPU links to each other with driver, CPU will deliver to drive system through deducing the action group signal of being exported, make each driver produce corresponding start response and make compressor, high wind, apoplexy, weak wind, the switch of sweeping wind, reversal valve, exhaust blower and humidifier does corresponding action, thereby make the cooling and warming circulation, ventilate circulation and three subsystems operations of air humidification.

In addition, consider difference and some disturbing factor of specific human body constitution, air-conditioner controller of the present invention has also been set up ± 2 ℃ of by-pass cockes, imports as the signal to CPU under the particular case, and CPU will regulate relevant parameters and action after receiving this signal automatically.

The embodiment of controller circuitry of the present invention as shown in Figure 3A, wherein CPU adopts the 80C31 single-chip microcomputer, it is connected with memory under program 27C256, data memory 6264, data selector 74LS152; Outdoor temperature sensor RTO, indoor temperature transmitter RT1 and indoor humidity sensor RSH respectively with temperature simulation/frequency converter TO(NE555), T1(NE555) with humidity simulation/frequency converter SHD(NE555) link to each other, through TO, T1 and SHD conversion and the frequency signal of output is delivered to data selector 74LS152; Indoor smoke gas sensor SMOK and SM(NE555) be connected, the signal of SM output is delivered to data selector 74LS152; In addition, also (4 * 10K) output links to each other 74LS152, and a plucking number sign switch SW is connected to these outputs of 4 * 10K, and when SW closed, this output became low level, and CPU carries out thereupon ± 2 ℃ adjusting control with a digital switch.

Intelligent control program is solidificated among the memory under program 27C256, work as said temperature, humidity, flue dust, the signal of toggle switch is after data selector 74LS152 is gathered and stored, carry out intelligent decision and reasoning calculation and output control signals to analog line driver MC1416 through CPU from its P1 mouth, control relay H again, L, M, C, P, HP, F, the adhesive of SH or release, thereby corresponding control high wind, weak wind, apoplexy, sweep the motor of wind, compressor, reversing machine, the on-off of each parts power supply of humidifier makes the indoor state that reaches automatically and maintain the most comfortable.

Output at analog line driver MC1416 also is connected to corresponding light emitting diode, so that state is released in the suction of visual each relay, thereby clearly illustrates driving condition.

In addition, CPU also is connected to a reset circuit, and this reset circuit mainly comprises a NE555 circuit and a reset switch K.

KWDS is a secondary monitor among the figure, and it utilizes the serial port communication work of 80C31, uses when this machine is debugged.After the installation of this circuit, this display is not at random.

The also available A/D change-over circuit commonly used of digital sensing transmission circuit TO, T1, SHD and SM among above-mentioned Fig. 3 A replaces, and the analog signal conversion of autobiography sensor RTO, RT1, RSH and SMOK becomes data signal to deliver to data selector 74LS152 in the future.

Represented among Fig. 3 A is the embodiment circuit diagram of the intelligent air condition device control device of full function of the present invention, and this embodiment has automatic cooling and heating type, humidification with dry dedusting air cleaning, ± 2 ℃ multiple functions such as special adjusting.

Intelligent air condition control device of the present invention also can have a series of different embodiment according to the difference of its function.

Two of embodiment is refrigerated medium pattern of fever intelligent air condition device control device, shown in Fig. 3 B, compares with Fig. 3 A, does not comprise in the circuit with the lower part: (1) humidity sensor RSH and corresponding digital sensing transmission circuit SHD, and humidifier relay SH; (2) smoke gas sensor SMOK and corresponding digital sensing transmission circuit SM and ventilation blower relay F; (3) toggle switch (SW) circuit.

Three of embodiment is that cooling and warming adds humidity control type control device, shown in Fig. 3 C, compare with the embodiment two shown in Fig. 3 B, added indoor humidity sensor RSH and corresponding digital sensing transmission circuit SHD in the circuit, and the humidifier relay SH that links to each other with power amplifier MC1416.

Four of embodiment is cooling and warming and the humidity control type control device that have the dedusting air cleaning function concurrently, shown in Fig. 3 D, compare with the embodiment three shown in Fig. 3 C, added indoor smoke gas sensor SMOK and corresponding digital sensing transducer SM, and the ventilation blower relay F that links to each other with power amplifier MC1416.

Control device of the present invention can also have multiple remodeling, such as, the drive part of compressor can adopt frequency-variable controller, thereby forms the inverter compressor air conditioner controlling device; Also can set up infrared sensor and/or sound, optical sensor, so that this control device increases acoustic control or light control functionality.

In sum, intelligent air conditioner device control method of the present invention and device have following characteristics and excellent effect:

(1) full-automatic:

1) without remote controller, need not artificially set during operation, as long as connect with the mains, air-conditioner just goes to participate at nobody, need not interactive condition under, automatically operation in the working range of determining.

(consisting of the 8-input, the control system of 8-output)

2) under specific working condition, the input data that obtain according to temperature, humidity, smoke gas sensor etc. fully, and program operation are regulated and running automatically, realize that knowledge drives, driving control that need not any hardware configuration.

3) real fully automatic operation process is not subjected to the restriction of space-time condition. (adopt International standard)

(2) self adaptation:

1) certainly select and the adjustment parameter value according to indoor/outdoor temperature-difference and Indoor Dry bulb temperature etc., determine " composite matrix " from optimizing in knowledge base, automatic interpolation, cluster from the preferred motion group, and have certain self organizing function.

2) adopt in real time control, with the variation of work condition environment, automatically produce the control strategy that adapts.

3) by the conversion control valve, reach refrigeration and the target that heats, can self adaptation the variation in season.

(3) multi-functional:

1) " four seasons type " air-conditioner has been expanded the function of " cold and hot type " air-conditioner; Not only the winter in summer can be used, and spring and autumn is also available.

2) humidification (humidifier) and dry (automatically).

3) keep air purity and anion concentration, the ventilation during by the interval after reaching comfortable attitude and the super threshold values of flue dust realizes.

4) consider human body difference areal variation, be provided with ± 2 ℃ setting regulates. (can implement during installation)

5) consider indoor/outdoor temperature-difference enforcement control, avoid air conditioner comprehensive disease. (set according to international standard, avoid individual oneself's mistake to decide)

6) consider controlling of compressor protection (after 3 minutes, can restart, and continuous operation forcing more than 18 hours being interrupted a moment) from moving constraint.

7) adopted the fault-toleranr technique that can reach.

8) arrangement of humidifier and machine separate ventilation machine is free by the user, can be communicated with fuselage side socket or lead-out wire socket.

9) to the working range [5 ℃, 43 ℃] of air-conditioner, itself has done design constraint software systems, even if when being in below-5 ℃ in outdoor temperature, humidification and ventilation function still can keep automatic adjusting (this moment compressor and fan have stopped transport commentaries on classics); When outdoor temperature is in more than 43 ℃, keeps the automatic operation of each executing agency, and added the compressor protection function.

(4) good energy-conserving effect, (being determined) by control method and strategy.

(5) can reduce cost, improve the ratio of performance to price (what bent control device determined).

Claims (10)

1, a kind of air-conditioner control method: comprise input phase, instantaneous static flow process stage, process dynamic flow stage and output stage; The concrete steps in each stage are as follows:

(1) input phase

A. system initialization: parameter, clock, sampling process parameter that system mode is set;

B. system's current state sampling: utilize temperature sensor detection system current state, sample frequency be per 3 seconds once; Temperature simulation/freq converting circuit is a frequency signal with the measured temperature analog signal conversion;

C. the frequency signal with described temperature is converted to the data signal of representing actual temperature value, and the conversion empirical equation is as follows:

(22.5～47.5℃)：X= (y-930)/27.52 +22.5(y≥930)

(12.5～22.5℃)：X= (y-660)/27.52 +12.5(660≤y＜930)

(-5～12.5℃)：X= (y-397)/21.04 (y＜660)

Wherein: X represents the measured temperature value, ℃

Y represents frequency value corresponding, Hz

D. fault-tolerant processing: current temperature value data signal and preceding 4 times temperature value data signal are averaged, with this average as these temperature digital input data;

E. state dynamic adjustments:

Described this temperature mean data and temperature mean data are last time compared, to judge the variation tendency of system mode;

(2) the instantaneous static flow process stage:

Algorithm steps is as follows:

A. according to input Adjustment System parameter, decision is adopted refrigeration or is heated algorithm.Outdoor temperature is a time refrigeration more than 18 ℃, heats in the time of below 18 ℃; Refrigeration is the automatic conversion of implementing when it all is in the state that compressor cuts out, fan stops with the conversion that heats;

Down:

B. interpolation processing:

Adopt following formula to calculate:

K _t=A _{A left side}(1-(︱ t-to ︱)/(L))+A _Right(︱ t-to ︱)/(L)

The non-standard sample of t-in the formula, current input value,

The data in to-master sample interval,

The L-siding-to-siding block length,

A _{A left side}The adjacent state standard vector an in-non-standard sample left side,

A _RightThe right adjacent state standard vector of-non-standard sample,

Obtain a vectorial K by following formula _t,

Calculate above-mentioned vector and standard vector A _R, A _P, A _T, A _Q, A _SDistance, to determine corresponding type;

That R, P, T, Q, S represent respectively is very low, low, suitable middle and high, very high five kinds of states.

C. from the optimizing matrix:

According to the type of determining behind the described input data interpolating, the object matrix M of selected " synthesizing " in " sharing knowledge base ";

Described " sharing knowledge base " formed by following set of matrices,

At first in the master sample space, form the cause and effect state table:

Result vector S=A wherein _PO ［ A _P→ S U ］ ∧ (A _P→ S _U), for A _P, 5 result vector S that above-mentioned class belongs to same minor premise constitute a knowledge matrix; For A _R, A _T, A _Q, A _SAlso all constitute the knowledge matrix; The set of described all matrix constitutes one " sharing knowledge base ";

(u and u ' refer to one of five kinds of states of R, P, T, Q, S respectively)

D. synthetic calculation:

By the state vector K that determines after the described interpolation _tSynthesize with selected matrix M, promptly

K _toM=B

B-indicates comfort level

E. cluster:

Standard vector S according to the expression comfort level of storing in B vector and the knowledge base ^* _p, S ^* _p, S ^* _T, S ^* _Q, S ^* _S, represent the ascending different conditions of comfort level respectively), calculate the sea and expect distance:

μ (X _K): each coordinate of comfort level vector

D: hamming distance

According to pressing close to principle, B range with its apart from the class shown in that standard vector of minimum;

F. judge the control action type:

According to the action group corresponding to variant comfort level type of prior setting, determine and above-mentioned vectorial B corresponding action group;

G. judge that being in instantaneous static treatment process this moment still is the process dynamic processes, if be in static treatment process, then the execution actuating signal of output action group; If be in the process dynamic processes, then carry out the temperature control action and adjust;

The condition of static state or dynamic process is:

Refrigeration: reducing to by high temperature in the process of low temperature, below the high temperature end points in comfort level interval, taking the control strategy of process dynamic process; Under all the other conditions, all take the control strategy of instantaneous static treatment;

Heat: rising to by low temperature in the process of high temperature, more than the low temperature end points in comfort level interval, taking the control strategy of instantaneous static treatment;

(3) the process dynamic flow stage:

A. the temperature control action is adjusted:

Adjust the temperature control action according to the development trend of temperature system state, make temperature center on comfort zone " vibration ", form periodic cycle;

B. time restriction adjustment:

After cutting out, opens again after at least 3 minutes by compressor;

Outdoor temperature is higher than 43 ℃ and compressor continuous operation person, close compressor by force more than 18 hours; Restart after at least 3 minutes;

Thin and weak wind state continuance is closed after 20 minutes automatically;

(4) output stage:

Signal by above-mentioned output directly starts the cooling and warming circulatory system by the power amplifier relay.

2, the method for claim 1 is characterized in that:

(1) in the state sampling step of described input phase, utilize humidity sensor to detect moisture condition, and output frequency signal, being converted to the data signal of representing actual humidity again, the conversion empirical equation is as follows:

X＝ (Y-207)/113 +46

X＝ (Y-320)/243 +47

(is in the field of central point at 26.5 ℃)

X represents the humidity value of surveying, %

Y represents frequency value corresponding, Hz

(2) in the described instantaneous static flow process stage:

Adopt the algorithm identical with described cooling and heating type algorithm carry out interpolation processing, from optimizing matrix, synthetic calculation, cluster and judgement control action type;

(3) in the described process dynamic flow stage, also carry out the adjustment of humidity control action, control strategy is:

During refrigeration: between the comfort zone of relative humidity be [50%, 70%]; Open in the process of humidifier humidification, humidifier cuts out when indoor relative humidity reaches 65%;

When heating: be between the comfort zone of relative humidity [40%, 65%]; Start in the process of humidifier humidification, humidifier cuts out when indoor relative humidity reaches 60%;

Humidification circulates in inner and the little field between comfort zone and carries out;

(4) at described output stage, also the signal by above-mentioned output directly starts the humidifier action by the power amplifier relay.

3, as claim 1,2 described methods, it is characterized in that:

Indoor comfort conditions continues to utilize ventilation blower to take a breath automatically after one hour, closes this machine after 5 minutes automatically;

In the state sampling step of described input phase, also utilize smoke gas sensor to detect the air purity state, when detection signal surpasses the threshold value that sets, export a signal to CPU, CPU exports a signal enabling ventilation blower.

4, method as claimed in claim 3 is characterized in that:

In described initial phase, can the interval perseverance of the comfort level of former setting be kept upward sliding or glide 20 ℃ according to special requirement;

At described output stage, control action signal according to said temperature, humidity and flue dust, the comprehensive comprehensive output action group that becomes 8 output signals, 8 signals are: compressor, high wind, apoplexy, weak wind, sweep the switching drive signal of wind, reversal valve, humidification and ventilation; This action group signal starts the corresponding system operation respectively.

5, a kind of air conditioner controlling device of implementing air-conditioner control method as claimed in claim 1 comprises data sampling and conversion, control and driving three parts; It is characterized in that:

Described data sampling and conversion portion comprise indoor, outdoor temperature sensor, and the signal that is produced is converted to the frequency signal of representing the measured temperature value through indoor, outdoor simulating/frequency converter respectively;

Described control section comprises: CPU, the memory under program that links to each other with CPU, data memory and data selector; This memory under program and data memory store whole computing as claimed in claim 1 and control program and standard and actual measurement status data, this data selector links to each other with described indoor, outdoor simulating/frequency converter, under CPU control, obtain the frequency signal of temperature, and it is sent into CPU, CPU promptly carries out logical deduction by reasoning by the described program of claim 1 after receiving described temperature digital signal, thus the output control signal;

Described drive part comprises the analog line driver that is connected with the output of CPU, and its output links to each other to control the break-make of each parts with the switch relay of high wind, weak wind, apoplexy, the motor of sweeping wind, compressor, reversal valve and ventilation blower.

6, air conditioner controlling device as claimed in claim 5 is characterized in that:

Described data sampling and conversion portion also comprise the indoor humidity sensor, and the signal that is produced is converted to the frequency signal of representing the humidity value of surveying through humidity simulation/frequency converter;

The data selector of described control section also links to each other with the output of described humidity simulation/frequency converter, and the humidity data signal that obtains and transmit its output is to CPU, and CPU deduces by the described method of claim 1, thus the output control signal;

Described drive part also comprises the humidifier analog line driver that is connected with the output of CPU, to carry out corresponding air humidification operation.

7, as claim 5,6 described air conditioner controlling devices, it is characterized in that:

Described data sampling and conversion portion also comprise indoor smoke gas sensor, and measured signal is compared with predetermined threshold value through a comparison circuit, and when exceeding this threshold value, CPU output one controls signal to the ventilation blower analog line driver, make the ventilation blower operation to purify air.

8, air conditioner controlling device as claimed in claim 7 is characterized in that:

Described control section comprises that also one ± 2 ℃ is regulated control module, and it comprises a frequency generator and one group of plucking number sign switch that links to each other with CPU, and this group plucking number sign switch control CPU links to each other or ground connection with the corresponding output end of this frequency generator.

9, as air conditioner controlling device as described in the claim 8, it is characterized in that: the drive part of compressor adopts frequency-variable controller, thereby forms the inverter compressor air conditioner controlling device.

10, air conditioner controlling device as claimed in claim 8 is characterized in that: infrared sensor and/or light, sonic transducer can be set up as control element in described sampling importation.

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