CN110375424A - Efficient variable air rate energy-saving control cabinet and method based on intelligent fuzzy algorithm - Google Patents

Efficient variable air rate energy-saving control cabinet and method based on intelligent fuzzy algorithm Download PDF

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Publication number
CN110375424A
CN110375424A CN201910572556.0A CN201910572556A CN110375424A CN 110375424 A CN110375424 A CN 110375424A CN 201910572556 A CN201910572556 A CN 201910572556A CN 110375424 A CN110375424 A CN 110375424A
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China
Prior art keywords
surveys
air
programmable controller
frequency
return air
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CN201910572556.0A
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Chinese (zh)
Inventor
靳凯
郭庆
赵鸿鸣
刘卫红
陈佳伟
姜雪明
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ZHEJIANG SUPCON INFORMATION CO Ltd
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ZHEJIANG SUPCON INFORMATION CO Ltd
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Priority to CN201910572556.0A priority Critical patent/CN110375424A/en
Publication of CN110375424A publication Critical patent/CN110375424A/en
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
    • F24F11/77—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/89—Arrangement or mounting of control or safety devices
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/10—Temperature
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Abstract

The invention discloses a kind of efficient variable air rate energy-saving control cabinet and method based on intelligent fuzzy algorithm, including programmable controller, industrial control all-in-one machine, cloud processor, interchanger, wind pushing temperature sensor IN1, return air temperature sensor IN2, air-supply carbon dioxide sensor IN3, return air carbon dioxide sensor IN4, fresh air carbon dioxide sensor IN5, air-supply air quantity sensor IN6, fresh-air volume sensor IN7 and 2 pieces of DC power supplies for power supply；Industrial control all-in-one machine and cloud processor with exchange mechatronics connection, cloud processor is electrically connected with programmable controller, and programmable controller is electrically connected with breeze fan and new air-valve respectively；Wind pushing temperature sensor IN1, air-supply carbon dioxide sensor IN3 and air-supply air quantity sensor IN6 are respectively positioned in air supply duct.The present invention has the characteristics that ventilating system is made not only to have met end to the needs of cooling capacity but also reduces equipment energy consumption.

Description

Efficient variable air rate energy-saving control cabinet and method based on intelligent fuzzy algorithm
Technical field
The present invention relates to air conditioner controlling technology fields, more particularly, to a kind of efficient variable air rate based on intelligent fuzzy algorithm Energy-saving control cabinet and method.
Background technique
A) the extensive control of fresh air volume, fresh air volume are difficult to determine.Excessive introducing fresh air causes system to cool down this Part high temperature fresh air wastes more cooling capacity.Very few introducing fresh air causes public control area air quality poor, Affect the comfort level of passenger.
B) in combined air conditioning box air output and freezing water matching be it is critically important, when pressure fan is prior to chilled water When valve events, it will cause and not meet the air quantity of temperature requirement and enter control area, both affected the comfort level of control area or made It is wasted at the energy consumption of pressure fan.And when freezing water valve prior to pressure fan movement, the cold wind after will cause exchange is sent less than control Region processed equally will cause waste.
C) system administration is not difficult for data processing, and service timeliness difference is passive after sale.
D) equipment of end lacks unified, system control.Different equipment individually control, although also using energy conservation measure, But concertedness is poor, lacks unified control strategy, causes system total energy consumption higher.
Summary of the invention
Goal of the invention of the invention is provided a kind of based on intelligent fuzzy to overcome above-mentioned deficiency in the prior art The efficient variable air rate energy-saving control cabinet and method of algorithm.
To achieve the goals above, the invention adopts the following technical scheme:
A kind of efficient variable air rate energy-saving control cabinet based on intelligent fuzzy algorithm, including programmable controller, industry control one Machine, cloud processor, interchanger, wind pushing temperature sensor IN1, return air temperature sensor IN2, air-supply carbon dioxide sensor IN3, Return air carbon dioxide sensor IN4, fresh air carbon dioxide sensor IN5, air-supply air quantity sensor IN6, fresh-air volume sensor IN7 and 2 piece of DC power supply for power supply；Industrial control all-in-one machine and cloud processor with exchange mechatronics connection, cloud processor It is electrically connected with programmable controller, programmable controller is electrically connected with breeze fan and new air-valve respectively；Wind pushing temperature sensor IN1, air-supply carbon dioxide sensor IN3 and air-supply air quantity sensor IN6 are respectively positioned in air supply duct；Return air temperature sensor IN2 and return air carbon dioxide sensor IN4 are respectively positioned in return air duct, and fresh air carbon dioxide sensor IN5 and fresh-air volume pass Sensor IN7 is respectively positioned in fresh air pipeline；Air supply duct is connected to fresh air pipeline and return air duct respectively, return air duct and air supply tube Road is connect with temperature-controlled zones.
The present invention is controlled by fresh air volume mass balance, solves the problems, such as that fresh-air volume determines, in outdoor and Interior Space On the basis of gas mass balance, the control of equipment energy consumption has been taken into account.
The present invention has the cloud processing function of system data, passes through third party's interface by internet, it is established that industry is set Standby data processing cloud platform, on the basis of device data acquisition, equipment management, monitoring of tools, make system have remote diagnosis, The functions such as report from a liner repairs, accident analysis.
Control core of the invention is Siemens's programmable controller, which is relatively high in the numerous series of Siemens That holds is a, is configured with the multiple interfaces such as RS485, Ethernet interface, possesses the features such as programing function is powerful, and arithmetic speed is fast.
Programmable controller of the invention according to air-supply carbon dioxide sensor IN3, return air carbon dioxide sensor IN4, The testing result of fresh air carbon dioxide sensor IN5, controls the aperture of new air-valve,
Programmable controller is sent according to the testing result of wind pushing temperature sensor IN1 and return air temperature sensor IN2, adjusting The frequency of wind blower reduces energy consumption to make the fresh air volume mass balance for installing the control area of air-conditioning.
Preferably, being equipped with filter screen in air supply duct, filter screen is equipped with filter screen and blocks alarm switch, programmable control Device processed is electrically connected with filter screen obstruction alarm switch.
Preferably, being equipped with chilled water pipe in air supply duct, chilled water pipe is connect with water inlet pipe and outlet pipe, on outlet pipe Equipped with freezing regulating valve, freezing regulating valve is electrically connected with programmable controller.
Preferably, further including cabinet body and cabinet door, cabinet door is equipped with touch screen, and touch screen is electrically connected with programmable controller It connects.
Preferably, handle is equipped in cabinet body and cabinet door, programmable controller, industrial control all-in-one machine, cloud processor and friendship It changes planes and is respectively positioned in cabinet body.
A method of the efficient variable air rate energy-saving control cabinet based on intelligent fuzzy algorithm includes the following steps:
(6-1) obtains blower frequency ambiguity algorithmic rule according to fuzzy algorithmic approach:
THf surveys 2For the return air temperature at the return air temperature sensor IN2 current time detected, THf is setFor the return air temperature of setting Degree, blower frequency ambiguity algorithmic rule are as follows:
Work as THf surveys 2> THf is set+ 5 DEG C, the frequency that programmable controller controls breeze fan increases 1HZ every 30s, until frequency Upper limit fmax；
As 4 DEG C of < THf surveys 2-THf is set≤ 5 DEG C, and THf surveys 2=THf surveys 1At ± 0.09 DEG C, programmable controller control air-supply wind The frequency of machine remains unchanged；THf surveys 2For the return air temperature at the return air temperature sensor IN2 previous moment detected；
As 4 DEG C of < THf surveys 2-THf is set≤ 5 DEG C, and THf surveys 2> THf surveys 1At+0.09 DEG C, programmable controller controls breeze fan Frequency every 30s increase 0.8Hz；
As 4 DEG C of < THf surveys 2-THf is set≤ 5 DEG C, and THf surveys 2< THf surveys 1At -0.09 DEG C, programmable controller controls breeze fan Frequency every 30s reduce 0.8Hz；
As 3 DEG C of < THf surveys 2-THf is set≤ 4 DEG C, and THf surveys 2=THf surveys 1At ± 0.09 DEG C, programmable controller control air-supply wind The frequency of machine remains unchanged；THf surveys 2For the return air temperature at the return air temperature sensor IN2 previous moment detected；
As 3 DEG C of < THf surveys 2-THf is set≤ 4 DEG C, and THf surveys 2> THf surveys 1At+0.09 DEG C, programmable controller controls breeze fan Frequency every 30s increase 0.6Hz；
As 3 DEG C of < THf surveys 2-THf is set≤ 4 DEG C, and THf surveys 2< THf surveys 1At -0.09 DEG C, programmable controller controls breeze fan Frequency every 30s reduce 0.6Hz；
As 2 DEG C of < THf surveys 2-THf is set≤ 3 DEG C, and THf surveys 2=THf surveys 1At ± 0.09 DEG C, programmable controller control air-supply wind The frequency of machine remains unchanged；THf surveys 2For the return air temperature at the return air temperature sensor IN2 previous moment detected；
As 2 DEG C of < THf surveys 2-THf is set≤ 3 DEG C, and THf surveys 2> THf surveys 1At+0.09 DEG C, programmable controller controls breeze fan Frequency every 30s increase 0.4Hz；
As 2 DEG C of < THf surveys 2-THf is set≤ 3 DEG C, and THf surveys 2< THf surveys 1At -0.09 DEG C, programmable controller controls breeze fan Frequency every 30s reduce 0.4Hz；
Work as THf surveys 2-THf is setAt≤2 DEG C, the frequency that programmable controller controls breeze fan reduces 0.2Hz every 30s, until Lower-frequency limit fmin；
The frequency of programmable controller control breeze fan remains unchanged；THf surveys 2It is detected for return air temperature sensor IN2 The previous moment return air temperature；
As 4 DEG C of < THf is surveyed-THf is set≤ 5 DEG C, and THf surveys 2=THf surveys 1At ± 0.09 DEG C, programmable controller control air-supply wind The frequency of machine remains unchanged；
(6-2) obtains freezing control valve opening fuzzy algorithmic approach rule according to fuzzy algorithmic approach:
TSf surveys 2For the supply air temperature at the current time of wind pushing temperature sensor IN1 detection, TSf is setFor supply air temperature setting value；
Work as TSf surveys 2> TSf is set+ 3 DEG C, the aperture of programmable controller control freezing regulating valve increases by 10% every 10s, until Aperture upper limit Kmax；
As 1 DEG C of < TSf surveys 2-TSf is set≤ 3 DEG C, and Tsf surveys 2=Tsf and surveys 1 ± 0.09 DEG C, programmable controller control freezing The aperture of regulating valve remains unchanged；
As 1 DEG C of < TSf surveys 2-TSf is set≤ 3 DEG C, and TSf surveys 2> TSf surveys 1+ 0.09 DEG C, programmable controller control freezing regulating valve Aperture every 10s increase by 1.5%；
As 1 DEG C of < TSf surveys 2-TSf is set≤ 3 DEG C, and TSf surveys 2< TSf surveys 1- 0.09 DEG C, programmable controller control freezing regulating valve Aperture aperture every 10s reduce 1%；
Work as TSf surveys 2-TSf is setAt≤1 DEG C, the aperture of programmable controller control freezing regulating valve reduces 1% every 10s, until Reach aperture lower limit Kmin.
Therefore, the invention has the following beneficial effects: flat between the cooling capacity by providing air output and freezing water valve Weighing apparatus control, makes ventilating system not only meet end to the needs of cooling capacity but also reduces equipment energy consumption；
Under the coordinated control control of control system, control standard is unified, the control balanced between each equipment is closed System, avoids the sometimes hot and sometimes cold phenomenon of using area, ensure that the comfort of using area；
It is controlled by fresh air volume mass balance, solves the problems, such as that fresh-air volume determines, it can according to actual needs rationally Introducing fresh air, not only guaranteed environmental amenity but also achieved the purpose that energy-saving.Meeting outdoor and indoor air quality On the basis of balance, the requirement of device energy conservation consumption reduction has been taken into account；
Cloud processing function with system data passes through third party's interface by internet, it is established that industrial equipment data Handling cloud platform is that system has remote diagnosis, in report from a liner on the basis of device data acquisition, equipment management, monitoring of tools It repairs, the functions such as accident analysis.
Detailed description of the invention
Fig. 1 is a kind of functional block diagram of the invention；
Fig. 2 is a kind of structural schematic diagram of the invention；
Fig. 3 is a kind of structure chart of application of the invention.
In figure: programmable controller 1, industrial control all-in-one machine 2, cloud processor 3, interchanger 4, breeze fan 6, new air-valve 7, touching Screen 8, glass 9, handle 10, air supply duct 11, return air duct 12, fresh air pipeline 13, filter screen 14, filter screen obstruction is touched to alarm and open Close 15, chilled water pipe 16, water inlet pipe 17, outlet pipe 18, freezing regulating valve 19, temperature-controlled zones 20, cabinet body 51, cabinet door 52.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and detailed description.
Embodiment as shown in Figure 1, Figure 3 is a kind of efficient variable air rate energy-saving control cabinet based on intelligent fuzzy algorithm, packet Include programmable controller 1, industrial control all-in-one machine 2, cloud processor 3, interchanger 4, wind pushing temperature sensor INl, return air temperature sensing Device IN2, air-supply carbon dioxide sensor IN3, return air carbon dioxide sensor IN4, fresh air carbon dioxide sensor IN5, air-supply The DC power supply of air flow sensor IN6, fresh-air volume sensor IN7 and 2 pieces for power supply；Industrial control all-in-one machine and cloud processor are equal With exchange mechatronics connection, cloud processor is electrically connected with programmable controller, programmable controller respectively with breeze fan 6 and New air-valve 7 is electrically connected；Wind pushing temperature sensor IN1, air-supply carbon dioxide sensor IN3 and the equal position air-supply air quantity sensor IN6 In air supply duct 11；Return air temperature sensor IN2 and return air carbon dioxide sensor IN4 are respectively positioned in return air duct 12, newly Wind carbon dioxide sensor IN5 and fresh-air volume sensor IN7 are respectively positioned in fresh air pipeline 13；Air supply duct respectively with fresh wind tube Road is connected to return air duct, and return air duct and air supply duct are connect with temperature-controlled zones 20.
Filter screen 14 is equipped in air supply duct, filter screen is equipped with filter screen and blocks alarm switch 15, programmable controller It is electrically connected with filter screen obstruction alarm switch.
Chilled water pipe 16 is equipped in air supply duct, chilled water pipe connect with water inlet pipe 17 and outlet pipe 18, sets on outlet pipe There is freezing regulating valve 19, freezing regulating valve is electrically connected with programmable controller.
As shown in Fig. 2, further including cabinet body 51 and cabinet door 52, cabinet door is equipped with touch screen 8 and several blocks of glass 9, touch screen It is electrically connected with programmable controller.
Handle 10, programmable controller, industrial control all-in-one machine, cloud processor and the equal position of interchanger are equipped on cabinet body and cabinet door In cabinet body.
A method of the efficient variable air rate energy-saving control cabinet based on intelligent fuzzy algorithm includes the following steps:
(6-1) obtains blower frequency ambiguity algorithmic rule according to fuzzy algorithmic approach:
THf surveys 2For the return air temperature at the return air temperature sensor IN2 current time detected, THf is setFor the return air temperature of setting Degree, blower frequency ambiguity algorithmic rule are as follows:
Work as THf surveys 2> THf is set+ 5 DEG C, the frequency that programmable controller controls breeze fan increases 1HZ every 30s, until frequency Upper limit fmax；
As 4 DEG C of < THf surveys 2-THf is set≤ 5 DEG C, and THf surveys 2=THf surveys 1At ± 0.09 DEG C, programmable controller control air-supply wind The frequency of machine remains unchanged；THf surveys 2For the return air temperature at the return air temperature sensor IN2 previous moment detected；
As 4 DEG C of < THf surveys 2-THf is set≤ 5 DEG C, and THf surveys 2> THf surveys 1At+0.09 DEG C, programmable controller controls breeze fan Frequency every 30s increase 0.8Hz；
As 4 DEG C of < THf surveys 2-THf is set≤ 5 DEG C, and THf surveys 2< THf surveys 1At -0.09 DEG C, programmable controller controls breeze fan Frequency every 30s reduce 0.8Hz；
As 3 DEG C of < THf surveys 2-THf is set≤ 4 DEG C, and THf surveys 2=THf surveys 1At ± 0.09 DEG C, programmable controller control air-supply wind The frequency of machine remains unchanged；THf surveys 2For the return air temperature at the return air temperature sensor IN2 previous moment detected；
As 3 DEG C of < THf surveys 2One THf is set≤ 4 DEG C, and THf surveys 2> THf surveys 1At+0.09 DEG C, programmable controller control air-supply wind The frequency of machine increases 0.6Hz every 30s；
As 3 DEG C of < THf surveys 2-THf is set≤ 4 DEG C, and THf surveys 2< THf surveys 1At -0.09 DEG C, programmable controller controls breeze fan Frequency every 30s reduce 0.6Hz；
As 2 DEG C of < THf surveys 2-THf is set≤ 3 DEG C, and THf surveys 2=THf surveys 1At ± 0.09 DEG C, programmable controller control air-supply wind The frequency of machine remains unchanged；THf surveys 2For the return air temperature at the return air temperature sensor IN2 previous moment detected；
As 2 DEG C of < THf surveys 2-THf is set≤ 3 DEG C, and THf surveys 2> THf surveys 1At+0.09 DEG C, programmable controller controls breeze fan Frequency every 30s increase 0.4Hz；
As 2 DEG C of < THf surveys 2-THf is set≤ 3 DEG C, and THf surveys 2< THf surveys 1At -0.09 DEG C, programmable controller controls breeze fan Frequency every 30s reduce 0.4Hz；
Work as THf surveys 2-THf is setAt≤2 DEG C, the frequency that programmable controller controls breeze fan reduces 0.2Hz every 30s, until Lower-frequency limit fmin；
The frequency of programmable controller control breeze fan remains unchanged；THf surveys 2It is detected for return air temperature sensor IN2 The previous moment return air temperature；
As 4 DEG C of < THf is surveyed-THf is set≤ 5 DEG C, and THf surveys 2=THf surveys 1At ± 0.09 DEG C, programmable controller control air-supply wind The frequency of machine remains unchanged；
(6-2) obtains freezing control valve opening fuzzy algorithmic approach rule according to fuzzy algorithmic approach:
TSf surveys 2For the supply air temperature at the current time of wind pushing temperature sensor INi detection, TSf is setFor supply air temperature setting value；
Work as TSf surveys 2> TSf is set+ 3 DEG C, the aperture of programmable controller control freezing regulating valve increases by 10% every 10s, until Aperture upper limit Kmax；
As 1 DEG C of < TSf surveys 2-TSf is set≤ 3 DEG C, and Tsf surveys 2=Tsf and surveys 1 ± 0.09 DEG C, programmable controller control freezing The aperture of regulating valve remains unchanged；
As 1 DEG C of < TSf surveys 2-TSf is set≤ 3 DEG C, and TSf surveys 2> TSf surveys 1+ 0.09 DEG C, programmable controller control freezing regulating valve Aperture every 10s increase by 1.5%；
As 1 DEG C of < TSf surveys 2-TSf is set≤ 3 DEG C, and TSf surveys 2< TSf surveys 1- 0.09 DEG C, programmable controller control freezing regulating valve Aperture aperture every 10s reduce 1%；
Work as TSf surveys 2-TSf is setAt≤1 DEG C, the aperture of programmable controller control freezing regulating valve reduces 1% every 10s, until Reach aperture lower limit Kmin.
Good control performance in order to obtain, control of the present invention for breeze fan and freezing regulating valve, is all made of mould Paste control.Various equipment are all interactional in combined air conditioning box, and energy-efficient automatically control is even more multivariable parameter Breeze fan and freezing regulating valve are set up the fuzzy control relation that is mutually related in invention by control, The two uses unified control strategy, can be only achieved energy-efficient control purpose in this way.
Firstly, determine the control foundation of breeze fan, " return air measures temperature and return air set temperature " deviation e and " return air Measure temperature " change of error ec.E and ec is precise volume and FUZZY ALGORITHMS FOR CONTROL processing is fuzzy quantity, therefore, first will be smart Really amount e and ec carries out Fuzzy processing, is indicated with corresponding fuzzy language, becomes fuzzy quantity.And control amount is breeze fan frequency Rate F.Secondly, determining the control foundation of freezing regulating valve, " supply air temperature and air-supply set temperature " deviation r and " supply air temperature " are inclined Difference variation rc, and control amount is breeze fan frequency K.
1 deviation
Input quantity: pressure fan controls foundation, temperature deviation e, unit DEG C
Practical domain is X={ 2,3,4.5, }.
Etc. magnitudes domain E={ -2, -1,0,1,2 },
Linguistic variable: corresponding subset language are as follows: PB (honest), PS (just small), ZO (zero), NS (bearing small), NB (negative big), Ventilation and air conditioning is respectively represented, " high load capacity ", " higher load ", " just ", " relatively low load ", " underload "
Calculation formula: e=Thf survey-Thf is set,
E: return air temperature deviation
THf is surveyed: return air set temperature
THf is set: side return air temperature
Domain fuzzy subset is e (x): { x >=5,4 >=x >=5,3 >=x >=4,2 >=x >=3, x≤2 }
Input quantity: the control foundation of regulating valve, temperature deviation e, unit DEG C are freezed
Practical domain W={ 2,3 },
Etc. magnitudes domain E={ -1,0,1, },
Linguistic variable: corresponding subset language are as follows: PB (honest), ZO (zero), NB (negative big) respectively represent ventilation and air conditioning , " high load capacity ", " just ", " underload ".
Calculation formula: deviation r=Tsf survey-Thf is set.
R: supply air temperature deviation
TsfIt surveys: air-supply measurement temperature
TsfIf: air-supply set temperature
Domain fuzzy subset is r (x): { x >=3,2 >=x >=3, x≤2 }
2 change of error
Input quantity: pressure fan controls foundation, temperature deviation ec, unit DEG C
Practical domain Y={ -0.09 ,+0.09 },
Etc. magnitudes domain E={ -1,0,1, },
Linguistic variable are as follows: PB (honest), ZO (zero), NB (negative big) respectively represent ventilation and air conditioning, " load rising ", " no Change ", " load decline
Calculation formula: change of error ec=Thf surveys 2 one Tsf and surveys 1
Change of error ec are as follows: the variable quantity of double sampling value twice before and after the deviation of system return air temperature.
TSf surveys 1: air-supply measurement 1 collection value of temperature-time.
THf surveys 2: air-supply measurement 2 collection value of temperature-time.
Input quantity: freezing regulating valve controls foundation, temperature deviation rc, unit DEG C
Practical domain V={ -0.09 ,+0.09 }.
Etc. magnitudes domain E={ -1,0,1, },
Linguistic variable is are as follows: PB (honest), ZO (zero), NB (negative big) respectively represent ventilation and air conditioning, " load rising ", " constant ", " load decline ".
Calculation formula: change of error rC=Thf surveys 2-Thf and surveys 1
Change of error rC are as follows: the variable quantity of double sampling value twice before and after the deviation of system supply air temperature
Thf surveys 1: air-supply measurement 1 collection value of temperature-time.
Thf surveys 2: air-supply measurement 2 collection value of temperature-time.
3 output controls
Input quantity: the speed-frequency of control air-supply frequency conversion fan, frequency F, unit HZ
Practical domain F={ 0,50 }
Etc. magnitudes domain Z={ -2, -1,0,1,2, }
Output language variable:: PB (honest), PM (center), PS (just small), ZO (zero), NS (bearing small), NM (in negative), NB (negative big), respectively represents output control amount, " frequency conversion is changed to high frequency ", " frequency conversion is changed to time high frequency ", " during frequency is changed to Frequently ", " frequency conversion is changed to infra-low frequency ", " frequency conversion variation tremendously low frequency ".
Input quantity: the aperture of control freezing regulating valve, frequency K, unit %
Practical domain U={ 0,100 }.
Etc. magnitudes domain Z={ -2, -1,0,1,2, }.
Output language variable: PB (honest), PM (center), PS (just small), ZO (zero), NS (bearing small), NM (in negative), NB (negative big), respectively represents output control amount, " valve opening to maximum ", " valve opening to larger ", " valve opening middle section ", " valve opening to smaller ", " valve opening to minimum "
Output F and U is derived by fuzzy relation between the calculating determination deviation subset e (x) and r (w) of membership function:
Pressure fan frequency range rule is changed by pressure fan fuzzy relation dress:
Freezing control valve opening variation range rule is changed by freezing regulating valve fuzzy relation dress:
4 sharpenings
Determine breeze fan frequency and freeze regulating valve aperture variation range after, it is also necessary to calculate breeze fan frequency and Regulating valve is freezed under different operating conditions, the frequency rate of change different with aperture.It should be different according to the practical experience of project Operating condition, be different to the requirement of the change rate of equipment.When end load demand is big, frequency and valve opening is increased should It is fast, and end load demand hour, frequency and valve can with it is increased it is slow once.With maximum membership degree method, obtains and send The blower frequency rate of change different under different load with freezing valve regulation aperture.
Indicate that the degree formula for belonging to set in domain is with this parameter of degree of membership
A=∫ A (x)/x
A: set degree of membership
A (x): membership function
X: element in set
The source of above-mentioned formula is " fuzzy control and its MATLAB "
Pressure fan: A (uj)=maxA (u) { 1,0.8,0.6,0.4,0.2 }.
Freeze regulating valve: A (uj)=maxA (u) { 1,0.6,0.3 }.
3.1.5 conclusion
In summary: FUZZY ALGORITHMS FOR CONTROL may be summarized to be four steps；
1) output quantity of device is obtained according to sampling, calculates selected input variable.
2) exact value of input variable is converted into fuzzy value
3) according to (fuzzy variable) and fuzzy control rule of input variable, calculating control amount is inferred.
4) fuzzy control quantity is converted to and is accurately controlled variable.
So in summary control theory derives following control law, the frequency and freezing regulating valve to pressure fan are opened Degree is controlled, and by the reasonable control to the two, combined air conditioning box is enable to operate in high efficient district always, and then reach section The purpose that can be lowered consumption.
It should be understood that this embodiment is only used to illustrate the invention but not to limit the scope of the invention.In addition, it should also be understood that, After having read the content of the invention lectured, those skilled in the art can make various modifications or changes to the present invention, these etc. Valence form is also fallen within the scope of the appended claims of the present application.

Claims (6)

1. a kind of efficient variable air rate energy-saving control cabinet based on intelligent fuzzy algorithm, characterized in that including programmable controller (1), industrial control all-in-one machine (2), cloud processor (3), interchanger (4), wind pushing temperature sensor IN1, return air temperature sensor IN2, Carbon dioxide sensor IN3, return air carbon dioxide sensor IN4, fresh air carbon dioxide sensor IN5, the air-supply air quantity of blowing pass The DC power supply of sensor IN6, fresh-air volume sensor IN7 and 2 pieces for power supply；Industrial control all-in-one machine and cloud processor with exchange Mechatronics connection, cloud processor is electrically connected with programmable controller, programmable controller respectively with breeze fan (6) and fresh air Valve (7) electrical connection；Wind pushing temperature sensor IN1, air-supply carbon dioxide sensor IN3 and air-supply air quantity sensor IN6 are respectively positioned on In air supply duct (11)；Return air temperature sensor IN2 and return air carbon dioxide sensor IN4 are respectively positioned in return air duct (12), Fresh air carbon dioxide sensor IN5 and fresh-air volume sensor IN7 are respectively positioned in fresh air pipeline (13)；Air supply duct is respectively and newly Air piping is connected to return air duct, and return air duct and air supply duct are connect with temperature-controlled zones (20).
2. the efficient variable air rate energy-saving control cabinet according to claim 1 based on intelligent fuzzy algorithm, characterized in that air-supply Filter screen (14) are equipped in pipeline, filter screen is equipped with filter screen obstruction alarm switch (15), programmable controller and filter screen Block alarm switch electrical connection.
3. the efficient variable air rate energy-saving control cabinet according to claim 1 based on intelligent fuzzy algorithm, characterized in that air-supply Chilled water pipe (16) are equipped in pipeline, chilled water pipe is connect with water inlet pipe (17) and outlet pipe (18), and outlet pipe is equipped with freezing Regulating valve (19), freezing regulating valve are electrically connected with programmable controller.
4. the efficient variable air rate energy-saving control cabinet according to claim 1 based on intelligent fuzzy algorithm, characterized in that also wrap Cabinet body (51) and cabinet door (52) are included, cabinet door is equipped with touch screen (8), and touch screen is electrically connected with programmable controller.
5. the efficient variable air rate energy-saving control cabinet according to claim 2 based on intelligent fuzzy algorithm, characterized in that cabinet body Be equipped in cabinet door handle (10), programmable controller, industrial control all-in-one machine, cloud processor and interchanger are respectively positioned in cabinet body.
6. a kind of method of the efficient variable air rate energy-saving control cabinet according to claim 3 based on intelligent fuzzy algorithm, It is characterized in, includes the following steps:
(6-1) obtains blower frequency ambiguity algorithmic rule according to fuzzy algorithmic approach:
THf surveys 2For the return air temperature at the return air temperature sensor IN2 current time detected, THf is setFor the return air temperature of setting, wind Unit frequency fuzzy algorithmic approach rule is as follows:
Work as THf surveys 2> THf is set+ 5 DEG C, the frequency that programmable controller controls breeze fan increases 1HZ every 30s, until upper frequency limit fmax；
As 4 DEG C of < THf surveys 2-THf is set≤ 5 DEG C, and THf surveys 2=THf surveys 1At ± 0.09 DEG C, programmable controller controls breeze fan Frequency remains unchanged；THf surveys 2For the return air temperature at the return air temperature sensor IN2 previous moment detected；
As 4 DEG C of < THf surveys 2-THf is set≤ 5 DEG C, and THf surveys 2> THf surveys 1At+0.09 DEG C, programmable controller controls the frequency of breeze fan Rate increases 0.8Hz every 30s；
As 4 DEG C of < THf surveys 2-THf is set≤ 5 DEG C, and THf surveys 2< THf surveys 1At -0.09 DEG C, programmable controller controls the frequency of breeze fan Rate reduces 0.8Hz every 30s；
As 3 DEG C of < THf surveys 2-THf is set≤ 4 DEG C, and THf surveys 2=THf surveys 1At ± 0.09 DEG C, programmable controller controls breeze fan Frequency remains unchanged；THf surveys 2For the return air temperature at the return air temperature sensor IN2 previous moment detected；
As 3 DEG C of < THf surveys 2-THf is set≤ 4 DEG C, and THf surveys 2> THf surveys 1At+0.09 DEG C, programmable controller controls the frequency of breeze fan Rate increases 0.6Hz every 30s；
As 3 DEG C of < THf surveys 2-THf is set≤ 4 DEG C, and THf surveys 2< THf surveys 1At -0.09 DEG C, programmable controller controls the frequency of breeze fan Rate reduces 0.6Hz every 30s；
As 2 DEG C of < THf surveys 2-THf is set≤ 3 DEG C, and THf surveys 2=THf surveys 1At ± 0.09 DEG C, programmable controller controls breeze fan Frequency remains unchanged；THf surveys 2For the return air temperature at the return air temperature sensor IN2 previous moment detected；
As 2 DEG C of < THf surveys 2-THf is set≤ 3 DEG C, and THf surveys 2> THf surveys 1At+0.09 DEG C, programmable controller controls the frequency of breeze fan Rate increases 0.4Hz every 30s；
As 2 DEG C of < THf surveys 2-THf is set≤ 3 DEG C, and THf surveys 2< THf surveys 1At -0.09 DEG C, programmable controller controls the frequency of breeze fan Rate reduces 0.4Hz every 30s；
Work as THf surveys 2-THf is setAt≤2 DEG C, the frequency that programmable controller controls breeze fan reduces 0.2Hz every 30s, until frequency Lower limit fmin；
The frequency of programmable controller control breeze fan remains unchanged；THf surveys 2Before being detected for return air temperature sensor IN2 The return air temperature at one moment；
As 4 DEG C of < THf is surveyed-THf is set≤ 5 DEG C, and THf surveys 2=THf surveys 1At ± 0.09 DEG C, programmable controller controls the frequency of breeze fan Rate remains unchanged；
(6-2) obtains freezing control valve opening fuzzy algorithmic approach rule according to fuzzy algorithmic approach:
TSf surveys 2For the supply air temperature at the current time of wind pushing temperature sensor IN1 detection, TSf is setFor supply air temperature setting value；
Work as TSf surveys 2> TSf is set+ 3 DEG C, the aperture of programmable controller control freezing regulating valve increases by 10% every 10s, until aperture Upper limit Kmax；
As 1 DEG C of < TSf surveys 2-TSf is set≤ 3 DEG C, and Tsf surveys 2=Tsf and surveys 1 ± 0.09 DEG C, and programmable controller control freezing is adjusted The aperture of valve remains unchanged；
As 1 DEG C of < TSf surveys 2-TSf is set≤ 3 DEG C, and TSf surveys 2> TSf surveys 1+ 0.09 DEG C, programmable controller control freezing regulating valve is opened Degree increases by 1.5% every 10s；
As 1 DEG C of < TSf surveys 2-TSf is set≤ 3 DEG C, and TSf surveys 2< TSf surveys 1- 0.09 DEG C, programmable controller control freezing regulating valve is opened It spends aperture and reduces 1% every 10s；
Work as TSf surveys 2-TSf is setAt≤1 DEG C, the aperture of programmable controller control freezing regulating valve reduces 1% every 10s, until reaching Aperture lower limit Kmin.
CN201910572556.0A 2019-06-27 2019-06-27 Efficient variable air rate energy-saving control cabinet and method based on intelligent fuzzy algorithm Pending CN110375424A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202813649U (en) * 2012-09-13 2013-03-20 东莞市荣光技术工程有限公司 Energy saving operation control system of central air conditioning ventilation system
US20190154287A1 (en) * 2017-11-21 2019-05-23 Emerson Climate Technologies, Inc. Humidifier Control Systems and Methods
CN109855265A (en) * 2019-01-29 2019-06-07 重庆大学 A kind of air conditioning system with variable and its control method of the fining of low energy consumption multizone
CN109883010A (en) * 2018-12-21 2019-06-14 珠海格力电器股份有限公司 A kind of temprature control method of air-conditioning, device, storage medium and air-conditioning
CN210425442U (en) * 2019-06-13 2020-04-28 浙江浙大中控信息技术有限公司 Variable air volume energy-saving control cabinet

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202813649U (en) * 2012-09-13 2013-03-20 东莞市荣光技术工程有限公司 Energy saving operation control system of central air conditioning ventilation system
US20190154287A1 (en) * 2017-11-21 2019-05-23 Emerson Climate Technologies, Inc. Humidifier Control Systems and Methods
CN109883010A (en) * 2018-12-21 2019-06-14 珠海格力电器股份有限公司 A kind of temprature control method of air-conditioning, device, storage medium and air-conditioning
CN109855265A (en) * 2019-01-29 2019-06-07 重庆大学 A kind of air conditioning system with variable and its control method of the fining of low energy consumption multizone
CN210425442U (en) * 2019-06-13 2020-04-28 浙江浙大中控信息技术有限公司 Variable air volume energy-saving control cabinet

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
刘静纨: "自调整模糊控制在变风量空调***中的应用研究与实现", 《电气技术》 *
宁永生: "模糊控制在变风量空调控制***中的应用研究", 《智能建筑与城市信息》 *
时阳等: "《制冷技术》", 30 June 2015, 中国轻工业出版社 *
江萍等: "《建筑设备自动化》", 31 January 2016, 中国建材工业出版社 *

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