CN102721156A - Central air-conditioning self-optimization intelligent fuzzy control device and control method thereof - Google Patents
Central air-conditioning self-optimization intelligent fuzzy control device and control method thereof Download PDFInfo
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Abstract
The invention discloses a central air-conditioning self-optimization intelligent fuzzy control device and a control method thereof. Technological parameters and indoor and outdoor environmental parameters of all control points of a central air-conditioning system are collected, running efficiency of a circulating system and control ends are tracked in real time according to actual load capacity of the system and end cold and hot source requirements, operation cycle of a main machine is optimized and adjusted, operation energy efficiency of each link of the system is comprehensively controlled, so that the system can always run under working conditions of high energy efficiency ratio. Meanwhile, process data, energy consumption data and equipment running data of the central air-conditioning system are summarized to form an intelligent control base, technical process such as analysis and operation is performed through the a central air-conditioning self-optimization intelligent fuzzy controller, new control strategies are generated, on-line upgrading control algorithm and energy-saving potential mining are achieved, energy consumption of the system is optimized, the operation is simplified, so that the operating efficiency of each device of the system is adjusted, and the aims of high efficiency, energy saving and intelligent control are achieved.
Description
Technical field
The present invention relates to a kind of central air-conditioning from optimizing Intelligent Fuzzy Control device and control method thereof, belong to the efficiency field of intelligent control technology.
Background technology
As large public building inside emphasis energy consumption equipment, the power consumption of central air conditioner system generally will account for more than 40% of power consumption of bed rearrangement building.And the central air-conditioning unit is to design with the maximum cold heat that satisfies the field of employment; And in practical application; The cooling and heating load that consumes changes, generally and design maximum cooling heat exist very big difference, system equipment moved for about 90% above time and operates in the undercapacity rated condition.Traditional central air-conditioning water, wind system all generally adopt the mode of control valve or throttle opening to come regulating pondage and air quantity; The shortcoming of this regulative mode not only consumes mass energy, and regulation quality is difficult to reach perfect condition and cause air conditioner comfort bad; Even the mode that existing part central air conditioner system adopts frequency converter to regulate the pump or fan rotating speed is come regulating pondage and air quantity; Because the servo-actuated property of central air-conditioning load is single with control system works pattern, control algolithm simple, control strategy can not real-time update; Energy savings to greatest extent, simultaneously in various degree cause air conditioner comfort bad.
Summary of the invention
To the deficiency of prior art, the invention provides a kind of central air-conditioning from optimizing Intelligent Fuzzy Control device and control method thereof, through the operational efficiency of each equipment of Adjustment System, can reach purpose energy-efficient, Based Intelligent Control.
The present invention solves the technical scheme that its technical problem takes: a kind of central air-conditioning is from optimizing Intelligent Fuzzy Control device; Comprise fuzzy controller, data acquisition unit, touch display screen and host computer; Said data acquisition unit, touch display screen and host computer are connected with fuzzy controller respectively, and said fuzzy controller is connected with the actuator devices of central air conditioner system, it is characterized in that; Also comprise remote control computer, said remote control computer is connected with fuzzy controller;
Said data acquisition unit comprises temperature sensor, humidity sensor, pressure sensor and cold and hot scale;
The actuator devices of said central air conditioner system comprises cold temperature pump, coolant pump, blower fan, control valve and central air conditioner system main frame;
Said fuzzy controller comprises that technological parameter is gathered the Filtering Processing module, control module, central air-conditioning optimizing algorithm module, logical signal output module, conditioning signal output module and feedback signal acquisition processing module are resolved in coordination; Said coordination is resolved control module and is connected with the feedback signal acquisition processing module with technological parameter collection Filtering Processing module, central air-conditioning optimizing algorithm module respectively, and said logical signal output module is connected with central air-conditioning optimizing algorithm module respectively with the conditioning signal output module; Said technological parameter is gathered the Filtering Processing module and is connected with data acquisition unit, in order to the data message of real-time processing data harvester collection and send to coordination parsing control module; Said feedback signal acquisition processing module is connected with the actuator devices of central air conditioner system; Be used for gathering in real time temperature, pressure, flow and the switching value signal of central air conditioner system and send to said coordination resolving control module; Said coordination is resolved control module and is connected with touch display screen, host computer and remote control computer; In order to receive data and control instruction; And send work order according to control instruction to central air-conditioning optimizing algorithm module and also transmit the data acquisition information that receives; Said central air-conditioning optimizing algorithm module is carried out the optimizing data according to data acquisition information, and sends the associative operation instruction through logical signal output module and conditioning signal output module to the actuator devices of central air conditioner system.
Further; Said technological parameter is gathered the Filtering Processing module and is comprised microprocessor, signal condition unit, digital to analog converter, wave filter and a CAN communication module; Said signal condition unit is connected with temperature sensor, humidity sensor, pressure sensor and cold and hot scale; In order to real-time image data information; And through digital to analog converter and wave filter the data message of gathering is carried out sending to microprocessor after analog-to-digital conversion and the filtering according to this, the data message after said microprocessor will be handled through a CAN communication module sends to coordinates to resolve control module.
Further, said coordination parsing control module comprises ARM microprocessor and first data storage that is connected with the ARM microprocessor respectively, a FLASH memory, RS485 communication module, Ethernet unit, wireless monitor module and the 2nd CAN communication module; Said ARM microprocessor is connected with a FLASH memory with first data storage respectively through spi bus; Said ARM microprocessor is connected with remote control computer through the RS485 communication module; Said ARM microprocessor is connected with touch display screen with host computer respectively through the Ethernet unit; Said ARM microprocessor is connected with wireless supervisory control system through the wireless monitor module; Said ARM microprocessor is gathered the Filtering Processing module through the 2nd CAN communication module and technological parameter and is connected.
Further, said central air-conditioning optimizing algorithm module comprises digital signal processor and second data storage that is connected with digital signal processor respectively, the 2nd FLASH memory, the 3rd CAN communication module, dual port RAM module and clock module; Said digital signal processor connects with second data storage and the 2nd FLASH memory respectively through spi bus; Said digital signal processor is resolved control module through dual port RAM module and coordination and is connected; Said digital signal processor is connected with the conditioning signal output module with the logical signal output module respectively through the 3rd CAN communication module; Said clock module is connected with digital signal processor through iic bus.
Further, said logical signal output module comprises microprocessor, Signal Spacing unit, driver element, relay and parallel buffer, and said microprocessor is connected with central air-conditioning optimizing algorithm module through parallel buffer; Said microprocessor is connected with driver element through the Signal Spacing unit, and said driver element is connected with the relay of the actuator devices of central air conditioner system.
Further, said conditioning signal output module comprises microprocessor, Signal Spacing unit, current output unit, parallel buffer, and said microprocessor is connected with central air-conditioning optimizing algorithm module through parallel buffer; Said microprocessor is connected with current output unit through the Signal Spacing unit, and said current output unit is connected with the actuator devices of central air conditioner system.
Further; Said feedback signal acquisition processing module comprises Signal Spacing unit, microprocessor and CAN communication module; Said microprocessor through the Signal Spacing unit respectively with the actuator devices that is arranged on central air conditioner system on temperature sensor, voltage sensor and current sensor be connected, microprocessor through the CAN communication module with coordinate the parsing control module and be connected.
A kind of central air-conditioning is from optimizing Intelligent Fuzzy Control method; Cold warm water system, cooling water system, blower fan of cooling tower and the host computer system of central air-conditioning are controlled comprehensively from optimizing intelligent fuzzy controller device in order to central air-conditioning; Said central air-conditioning is accepted control instruction that remote control computer sends and data through the Ethernet unit or is accepted control instruction and data that on-the-spot host computer and touch-screen send through communication module and carry out from the work of optimizing Intelligent Fuzzy Control from optimizing Intelligent Fuzzy Control device; It is characterized in that; Said central air-conditioning comprises under the power frequency pattern under optimizing Intelligent Fuzzy Control process and energy saver mode from optimizing Intelligent Fuzzy Control process from optimizing Intelligent Fuzzy Control method, comprises under the comfort level pattern under optimizing Intelligent Fuzzy Control process and automatic mode from optimizing Intelligent Fuzzy Control process from optimizing Intelligent Fuzzy Control process under the said energy saver mode;
Comprise following process from optimizing Intelligent Fuzzy Control process under the said power frequency pattern:
Gather confession, return water temperature, pressure, flow and the cold and hot amount of the cold warm water of central air conditioner system,
Gather confession, return water temperature, pressure, flow and the cold and hot amount of the cooling water of central air conditioner system,
Gather the central air conditioner system main frame operational factor of central air conditioner system, the running status and the consumption information of pump; Central air-conditioning carries out analyzing and processing from optimizing intelligent fuzzy controller device to the data message of gathering; And analysis processing result shown, so that keep watch on;
Confirm that from optimizing Intelligent Fuzzy Control process need output characteristics, collection technology data and the internal and external environment parameter of the required actual load of central air conditioner system, analysis-driven system, heredity are calculated, optimizing is handled, exported and gather feedback information and form historical data base under the said comfort level pattern; The working strategies of adjustment operation at last specifically comprises following process:
1) actual load that affirmation system is required
Remembering with gratitude of comfort level is incorporated in the control to central air-conditioning, and three parameters selecting for use are temperature, relative humidity and wind speed; According to the weather conditions of locality, the empirical equation of utilizing long-term statistics to sum up, suc as formula (1):
In the formula, F is the comfort level index; T is a temperature in the controlled room; Rh is a relative humidity in the controlled room; V is a wind speed in the controlled room;
The F value of general a home from home is between 51-78, and the optimum reelability quality value is 60; In influencing the temperature of comfort level, relative humidity and three parameters of wind speed, the most important thing is temperature, secondly be humidity, be wind speed at last; Generally the wind speed when indoor unlatching air-conditioning is 1m/s-2m/s, gets average 1.5m/s, obtains formula (2) after the simplification:
F＝1.8t-0.55(1.8t-26)(1-r
h)+28.08 （2）
Through type (2) draws system control comfort temperature and comfort humidity, the actual load amount demand that calculates system according to the effective area and the outdoor temperature humidity of building again;
2) the operational system output characteristics of analysis-driven system
In central air conditioner system; Drive system is mainly water pump and blower fan; Central air-conditioning is analyzed the driving force of water pump and blower fan from the optimizing intelligent fuzzy controller; As the basis, is basis with following formula (3), formula (4) and (5) three formula of formula with the pump information of technological parameter acquisition module identification and user's input information:
Q0 in formula (3)～formula (5), H0, n0, N0 are respectively flow, lift, rotating speed, the power of water pump under declared working condition, and Q1, H1, n1, N1 are respectively flow, lift, rotating speed, the power of water pump under actual condition;
Can draw formula (6) by formula (3)～formula (5):
Therefore, all similar operating condition points must satisfy formula (7):
According to above-mentioned control method, the interval working range of high efficiency rotating speed of calculating pump in real time is 35HZ～45HZ;
3) collection technology data and internal and external environment parameter, heredity calculating, optimizing are handled
By above-mentioned steps 1) and step 2) calculating, draw at the high efficiency rotating speed of keeping under the comfort level situation intervally, process data, internal and external environment parameter of gathering and the demand that calculates are carried out Fuzzy Processing, thereby obtain optimal solution fast;
4) output and collection feedback information form historical data base, adjustment operation working strategies
Through above-mentioned steps 1) calculate the service requirement frequency and the running status of cold temperature pump, coolant pump, blower fan, main frame to step 3); Output to the actuator devices of central air conditioner system then through signal output unit, and gather the feedback information of the actuator devices of central air conditioner system; At last data are carried out compression memory, form historical data base; Satisfy service condition if find in time to adjust when signal output does not conform to feedback information working strategies; After selecting shutdown or power down, system's storing data automatically;
Carry out output characteristics, collection technology data and the internal and external environment parameter of the required actual load of affirmation system, analysis-driven system, hereditary calculating, optimizing processing, export and gather feedback information and form historical data base from optimizing Intelligent Fuzzy Control process need under the said automatic mode; The working strategies of adjustment operation at last specifically comprises following process:
1) actual load that affirmation system is required
This pattern is applicable to the occasion that flow of personnel is bigger, and this pattern adopts sectional-regulated, this mode user entry personnel peak information, and central air-conditioning automatically adjusts from the optimizing intelligent fuzzy controller; Adopt the comfort level pattern at personnel's peak phase, its processing method is following:
Remembering with gratitude of comfort level is incorporated in the control to central air-conditioning, and three parameters selecting for use are temperature, relative humidity and wind speed; According to the weather conditions of locality, the empirical equation of utilizing long-term statistics to sum up, suc as formula (1):
In the formula, F is the comfort level index; T is a temperature in the controlled room; Rh is a relative humidity in the controlled room; V is a wind speed in the controlled room;
The F value of general a home from home is between 51-78, and the optimum reelability quality value is 60; In influencing the temperature of comfort level, relative humidity and three parameters of wind speed, the most important thing is temperature, secondly be humidity, be wind speed at last; Generally the wind speed when indoor unlatching air-conditioning is 1m/s-2m/s, gets average 1.5m/s, obtains formula (2) after the simplification:
F＝1.8t-0.55(1.8t-26)(1-r
h)+28.08 （2）
Through type (2) draws system control comfort temperature and comfort humidity, the actual load amount demand that calculates system according to the effective area and the outdoor temperature humidity of building again;
When personnel are not in peak time, adopt the load of meteorologic parameter decision systems, definition amount at full capacity is 100%, and when refrigeration season, temperature is high more, humidity is low more, and the required load of central air-conditioning is bigger, otherwise less; When heating season, temperature is high more, humidity is high more, and the required load of central air-conditioning is less, otherwise bigger; The air quality parameters of gathering as deviation, calculates the actual load amount demand of system;
2) the operational system output characteristics of analysis-driven system
In central air conditioner system; Drive system is mainly water pump and blower fan; Central air-conditioning is analyzed the driving force of water pump and blower fan from the optimizing intelligent fuzzy controller; As the basis, is basis with following formula (3), formula (4) and (5) three formula of formula with the pump information of technological parameter acquisition module identification and user's input information:
Q0 in formula (3)～formula (5), H0, n0, N0 are respectively flow, lift, rotating speed, the power of water pump under declared working condition, and Q1, H1, n1, N1 are respectively flow, lift, rotating speed, the power of water pump under actual condition;
Can draw formula (6) by formula (3)～formula (5):
Therefore, all similar operating condition points must satisfy formula (7):
According to above-mentioned control method, the interval working range of high efficiency rotating speed of calculating pump in real time is 35HZ～45HZ;
3) collection technology data and internal and external environment parameter, heredity calculating, optimizing are handled
By above-mentioned steps 1) and step 2) calculating, draw at the high efficiency rotating speed of keeping under the comfort level situation intervally, process data, internal and external environment parameter of gathering and the demand that calculates are carried out Fuzzy Processing, thereby obtain optimal solution fast;
4) working strategies of output and collection feedback information, formation historical data base, adjustment operation
Through above-mentioned steps 1) calculate the service requirement frequency and the running status of cold temperature pump, coolant pump, blower fan, main frame to step 3); Output to the actuator devices of central air conditioner system then through signal output unit, and gather the feedback information of the actuator devices of central air conditioner system; At last data are carried out compression memory, form historical data base; Satisfy service condition if find in time to adjust when signal output does not conform to feedback information working strategies; After selecting shutdown or power down, system's storing data automatically.
In the above-mentioned control method, said optimizing processing procedure comprises cold warm water system adopted from optimizing efficiency tracking Control process, the cooling water system blower fan system of unifying and adopts the optimal conversion efficiency control procedure and main frame is adopted efficiency tracking Control process,
Saidly adopt following: when environment temperature, when the terminal load of central air-conditioning changes from optimizing efficiency tracking Control process to cold warm water system; The confession of each cold warm water in road, return water temperature, the temperature difference and flow also change thereupon; Flowmeter, differential pressure pickup and temperature sensor are delivered to central air-conditioning from optimizing Intelligent Fuzzy Control device with detected these parameters; Central air-conditioning from optimizing Intelligent Fuzzy Control device according to the real time data of being gathered, history data, calculate the optimum value of the cold warm water confession in the required refrigerating capacity of air conditioner load and each road, return water temperature, the temperature difference, pressure reduction and flow in real time; And regulate each frequency converter output frequency with this; The rotating speed of control chilled water pump changes supply and return water temperature, the temperature difference, pressure reduction and the flow that its flow makes chilled water system and operates in the optimal value that provides from the optimizing intelligent fuzzy controller;
Saidly adopt the optimal conversion efficiency control procedure following: when environment temperature, when the air conditioning terminal load changes to the cooling water system blower fan system of unifying; The rate of load condensate of central air conditioner main machine will change thereupon, and the optimal heat inversion temperature of main condenser also changes thereupon; From confession, return water temperature, the temperature difference and flow and the history data of optimizing Intelligent Fuzzy Control device according to the cooling water of being gathered; Calculate the optimal heat inversion temperature and the best entry and exit of the cooling water temperature of main condenser; And regulate the output frequency of cooling water pump and blower fan of cooling tower frequency converter with this; Control cooling water pump and blower fan of cooling tower rotating speed; The flow of dynamic adjustments cooling water and the air quantity of blower fan of cooling tower, the optimal value that the import and export temperature approaches fuzzy controller of cooling water is provided;
Said following: the various process datas and the internal and external environment parameter parameter of central air conditioner main machine running environment system being gathered comprehensively central air-conditioning to main frame efficiency tracking Control process; Utilize the efficiency tracking Control; Optimal control in dynamic is carried out in these interrelated, interactional main frames operations,, make air-conditioner host operate in optimum condition all the time to satisfy the non-linear requirement with time variation of central air conditioner system; With the highest efficiency efficient of maintenance, thus the energy consumption of minimizing main frame; Said process data and internal and external environment parameter parameter comprise environment temperature, humidity, air quality, the confession of cold warm water, return water temperature, pressure, flow, cold and hot amount, the supply and return water temperature of cooling water, pressure, flow, cold and hot amount, main frame operational factor.
The invention has the beneficial effects as follows; The present invention is through gathering each control point technological parameter of central air conditioner system and indoor and outdoor surroundings parameter; According to system's actual load amount and terminal Cooling and Heat Source needs, the terminal and circulatory system operational efficiency of real-Time Tracking Control is optimized and revised cycle of operation of main frame; Each link of system is realized comprehensive control of operational energy efficiency, system is remained under the operating mode of high energy efficiency ratio move.Simultaneously, the present invention gathers the process data of central air conditioner system, energy consumption data and equipment operating data, forms the Based Intelligent Control storehouse; Through central air-conditioning from the optimizing intelligent fuzzy controller analyze, technical finesse such as computing, produce new control strategy, realize the online upgrading control algolithm; Energy-saving potential excavates, and the optimization system energy consumption simplifies the operation; With the operational efficiency of this each equipment of Adjustment System, reach purpose energy-efficient, Based Intelligent Control.
Description of drawings
Fig. 1 is a system architecture diagram of the present invention;
Fig. 2 is the structured flowchart that technological parameter according to the invention is gathered the Filtering Processing module;
Fig. 3 is the structured flowchart that control module is resolved in coordination according to the invention;
Fig. 4 is the structured flowchart of central air-conditioning optimizing algorithm module according to the invention;
Fig. 5 is the flow chart of a kind of central air-conditioning of the present invention from optimizing Intelligent Fuzzy Control method;
Fig. 6 is the flow chart that optimizing according to the invention is handled;
Fig. 7 is the schematic flow sheet of collection technology parameter according to the invention;
Fig. 8 is the fuzzy control schematic flow sheet of cold warm water according to the invention;
Wherein, 1 technological parameter is gathered Filtering Processing module, 2 and is coordinated to resolve control module, 3 central air-conditioning optimizing algorithm modules, 4 logical signal output modules, 5 conditioning signal output modules, 6 feedback signal acquisition processing modules, 7 cold temperature pumps, 8 coolant pumps, 9 blower fans, 10 control valves, 11 main frames, 12 touch display screens, 13 host computers, 14 remote control computers, 15 temperature sensors, 16 humidity sensors, 17 pressure sensors, 18 cold and hot scales, 101 microprocessors, 102 signal condition unit, 103 digital to analog converters, 104 wave filters, 105 the one CAN communication modules, 201 arm processors, 202 first data storages, 203 the one FLASH memories, 204 RS485 communication modules, 205 Ethernet unit, 206 wireless monitor modules, 207 the 2nd CAN communication modules, 301 digital signal processors, 302 second data storages, 303 the 2nd FLASH memories, 304 the 3rd CAN communication modules, 3055 dual port RAM modules, 306 clock modules.
The specific embodiment
Below in conjunction with accompanying drawing and embodiment the present invention is further specified.
Fig. 1 is a system architecture diagram of the present invention.As shown in Figure 1; A kind of central air-conditioning of the present invention is from optimizing Intelligent Fuzzy Control device; Comprise fuzzy controller, data acquisition unit, touch display screen 12, host computer 13 and remote control computer 14; Said data acquisition unit, touch display screen 12 and host computer 13 are connected with fuzzy controller respectively, and said fuzzy controller is connected with the actuator devices of central air conditioner system, and said remote control computer 14 is connected with fuzzy controller;
Said data acquisition unit comprises temperature sensor 15, humidity sensor 16, pressure sensor 17 and cold and hot scale 18;
The actuator devices of said central air conditioner system comprises cold temperature pump 7, coolant pump 8, blower fan 9, control valve 10 and central air conditioner system main frame 11;
Said fuzzy controller comprises that technological parameter is gathered Filtering Processing module 1, control module 2, central air-conditioning optimizing algorithm module 3, logical signal output module 4, conditioning signal output module 5 and feedback signal acquisition processing module 6 are resolved in coordination; Said coordination is resolved control module 2 and is connected with feedback signal acquisition processing module 6 with technological parameter collection Filtering Processing module 1, central air-conditioning optimizing algorithm module 3 respectively, and said logical signal output module 4 is connected with central air-conditioning optimizing algorithm module 3 respectively with conditioning signal output module 5; Said technological parameter is gathered Filtering Processing module 1 and is connected with data acquisition unit, in order to the data message of real-time processing data harvester collection and send to coordination parsing control module 2; Said feedback signal acquisition processing module 6 is connected with the actuator devices of central air conditioner system; Be used for gathering in real time temperature, pressure, flow and the switching value signal of central air conditioner system and send to said coordination resolving control module 2; Said coordination is resolved control module 2 and is connected with touch display screen, host computer and remote control computer; In order to receive data and control instruction; And send work order according to control instruction to central air-conditioning optimizing algorithm module 3 and also transmit the data acquisition information that receives; Said central air-conditioning optimizing algorithm module 3 is carried out the optimizing data according to data acquisition information, and sends the associative operation instruction through logical signal output module 4 and conditioning signal output module 5 to the actuator devices of central air conditioner system.
Fig. 2 is the structured flowchart that technological parameter according to the invention is gathered the Filtering Processing module.As shown in Figure 2; Said technological parameter is gathered Filtering Processing module 1 and is comprised microprocessor 101, signal condition unit 102, digital to analog converter 103, wave filter 104 and a CAN communication module 105; Said signal condition unit 102 is connected with temperature sensor 15, humidity sensor 16, pressure sensor 17 and cold and hot scale 18; In order to real-time image data information; And carry out sending to microprocessor 101 after analog-to-digital conversion and the filtering through the data message of digital to analog converter 103 and 104 pairs of collections of wave filter according to this, the data message after said microprocessor 101 will be handled through a CAN communication module 105 sends to coordination parsing control module 2.
Fig. 3 is the structured flowchart that control module is resolved in coordination according to the invention.As shown in Figure 3, said coordination is resolved control module 2 and is comprised ARM microprocessor 201 and first data storage 202 that is connected with ARM microprocessor 201 respectively, a FLASH memory 203, RS485 communication module 204, Ethernet unit 205, wireless monitor module 206 and the 2nd CAN communication module 207; Said ARM microprocessor 201 is connected with a FLASH memory 203 with first data storage 202 respectively through spi bus; Said ARM microprocessor 201 is connected with remote control computer through RS485 communication module 204; Said ARM microprocessor 201 is connected with touch display screen 12 with host computer respectively through Ethernet unit 205; Said ARM microprocessor 201 is connected with wireless supervisory control system through wireless monitor module 206; Said ARM microprocessor 201 is gathered Filtering Processing module 1 through the 2nd CAN communication module 207 and technological parameter and is connected.
Fig. 4 is the structured flowchart of central air-conditioning optimizing algorithm module according to the invention.As shown in Figure 4, said central air-conditioning optimizing algorithm module 3 comprises digital signal processor 301 and second data storage 302 that is connected with digital signal processor 301 respectively, the 2nd FLASH memory 303, the 3rd CAN communication module 304, dual port RAM module 305 and clock module 306; Said digital signal processor 301 is connected with the 2nd FLASH memory 303 with second data storage 302 respectively through spi bus; Said digital signal processor 301 is resolved control module 2 through dual port RAM module 305 and coordination and is connected; Said digital signal processor 301 is connected with conditioning signal output module 5 with logical signal output module 4 respectively through the 3rd CAN communication module 304; Said clock module 306 is connected with digital signal processor 301 through iic bus.
Further, said logical signal output module 4 comprises microprocessor, Signal Spacing unit, driver element, relay and parallel buffer, and said microprocessor is connected with central air-conditioning optimizing algorithm module 3 through parallel buffer; Said microprocessor 22 is connected with driver element through the Signal Spacing unit, and said driver element is connected with the relay of the actuator devices of central air conditioner system.
Further, said conditioning signal output module 5 comprises microprocessor, Signal Spacing unit, current output unit, parallel buffer, and said microprocessor is connected with central air-conditioning optimizing algorithm module 3 through parallel buffer; Said microprocessor is connected with current output unit through the Signal Spacing unit, and said current output unit is connected with the actuator devices of central air conditioner system.
Further; Said feedback signal acquisition processing module 6 comprises Signal Spacing unit, microprocessor and CAN communication module; Said microprocessor through the Signal Spacing unit respectively with the actuator devices that is arranged on central air conditioner system on temperature sensor, voltage sensor and current sensor be connected, microprocessor through the CAN communication module with coordinate parsing control module 2 and be connected.
A kind of central air-conditioning of the present invention is from optimizing Intelligent Fuzzy Control method; Cold warm water system, cooling water system, blower fan of cooling tower and the host computer system of central air-conditioning are controlled comprehensively from optimizing intelligent fuzzy controller device in order to central air-conditioning, said central air-conditioning is accepted control instruction that remote control computer sends and data through the Ethernet unit or is accepted control instruction and data that on-the-spot host computer and touch-screen send through communication module and carry out from the work of optimizing Intelligent Fuzzy Control from optimizing Intelligent Fuzzy Control device.Said central air-conditioning comprises under the power frequency pattern under optimizing Intelligent Fuzzy Control process and energy saver mode from optimizing Intelligent Fuzzy Control process from optimizing Intelligent Fuzzy Control method, comprises under the comfort level pattern under optimizing Intelligent Fuzzy Control process and automatic mode from optimizing Intelligent Fuzzy Control process from optimizing Intelligent Fuzzy Control process under the said energy saver mode;
Comprise following process from optimizing Intelligent Fuzzy Control process under the said power frequency pattern:
Gather confession, return water temperature, pressure, flow and the cold and hot amount of the cold warm water of central air conditioner system,
Gather confession, return water temperature, pressure, flow and the cold and hot amount of the cooling water of central air conditioner system,
Gather the central air conditioner system main frame operational factor of central air conditioner system, the running status and the consumption information of pump; Central air-conditioning carries out analyzing and processing from optimizing intelligent fuzzy controller device to the data message of gathering; And analysis processing result shown, so that keep watch on;
Confirm that from optimizing Intelligent Fuzzy Control process need output characteristics, collection technology data and the internal and external environment parameter of the required actual load of central air conditioner system, analysis-driven system, heredity are calculated, optimizing is handled, exported and gather feedback information and form historical data base under the said comfort level pattern; The working strategies of adjustment operation at last specifically comprises following process:
1) actual load that affirmation system is required
Remembering with gratitude of comfort level is incorporated in the control to central air-conditioning, and three parameters selecting for use are temperature, relative humidity and wind speed; According to the weather conditions of locality, the empirical equation of utilizing long-term statistics to sum up, suc as formula (1):
In the formula, F is the comfort level index; T is a temperature in the controlled room; Rh is a relative humidity in the controlled room; V is a wind speed in the controlled room;
The F value of general a home from home is between 51-78, and the optimum reelability quality value is 60; In influencing the temperature of comfort level, relative humidity and three parameters of wind speed, the most important thing is temperature, secondly be humidity, be wind speed at last; Generally the wind speed when indoor unlatching air-conditioning is 1m/s-2m/s, gets average 1.5m/s, obtains formula (2) after the simplification:
F＝1.8t-0.55(1.8t-26)(1-r
h)+28.08 （2）
Through type (2) draws system control comfort temperature and comfort humidity, the actual load amount demand that calculates system according to the effective area and the outdoor temperature humidity of building again;
2) the operational system output characteristics of analysis-driven system
In central air conditioner system; Drive system is mainly water pump and blower fan; Central air-conditioning is analyzed the driving force of water pump and blower fan from the optimizing intelligent fuzzy controller; As the basis, is basis with following formula (3), formula (4) and (5) three formula of formula with the pump information of technological parameter acquisition module identification and user's input information:
Q0 in formula (3)～formula (5), H0, n0, N0 are respectively flow, lift, rotating speed, the power of water pump under declared working condition, and Q1, H1, n1, N1 are respectively flow, lift, rotating speed, the power of water pump under actual condition;
Can draw formula (6) by formula (3)～formula (5):
Therefore, all similar operating condition points must satisfy formula (7):
According to above-mentioned control method, the interval working range of high efficiency rotating speed of calculating pump in real time is 35HZ～45HZ;
3) collection technology data and internal and external environment parameter, heredity calculating, optimizing are handled
By above-mentioned steps 1) and step 2) calculating, draw at the high efficiency rotating speed of keeping under the comfort level situation intervally, process data, internal and external environment parameter of gathering and the demand that calculates are carried out Fuzzy Processing, thereby obtain optimal solution fast;
4) output and collection feedback information form historical data base, adjustment operation working strategies
Through above-mentioned steps 1) calculate the service requirement frequency and the running status of cold temperature pump, coolant pump, blower fan, main frame to step 3); Output to the actuator devices of central air conditioner system then through signal output unit, and gather the feedback information of the actuator devices of central air conditioner system; At last data are carried out compression memory, form historical data base; Satisfy service condition if find in time to adjust when signal output does not conform to feedback information working strategies; After selecting shutdown or power down, system's storing data automatically;
Carry out output characteristics, collection technology data and the internal and external environment parameter of the required actual load of affirmation system, analysis-driven system, hereditary calculating, optimizing processing, export and gather feedback information and form historical data base from optimizing Intelligent Fuzzy Control process need under the said automatic mode; The working strategies of adjustment operation at last specifically comprises following process:
1) actual load that affirmation system is required
This pattern is applicable to the occasion that flow of personnel is bigger, and this pattern adopts sectional-regulated, this mode user entry personnel peak information, and central air-conditioning automatically adjusts from the optimizing intelligent fuzzy controller; Adopt the comfort level pattern at personnel's peak phase, its processing method is following:
Remembering with gratitude of comfort level is incorporated in the control to central air-conditioning, and three parameters selecting for use are temperature, relative humidity and wind speed; According to the weather conditions of locality, the empirical equation of utilizing long-term statistics to sum up, suc as formula (1):
In the formula, F is the comfort level index; T is a temperature in the controlled room; Rh is a relative humidity in the controlled room; V is a wind speed in the controlled room;
The F value of general a home from home is between 51-78, and the optimum reelability quality value is 60; In influencing the temperature of comfort level, relative humidity and three parameters of wind speed, the most important thing is temperature, secondly be humidity, be wind speed at last; Generally the wind speed when indoor unlatching air-conditioning is 1m/s-2m/s, gets average 1.5m/s, obtains formula (2) after the simplification:
F＝1.8t-0.55(1.8t-26)(1-r
h)+28.08 （2）
Through type (2) draws system control comfort temperature and comfort humidity, the actual load amount demand that calculates system according to the effective area and the outdoor temperature humidity of building again;
When personnel are not in peak time, adopt the load of meteorologic parameter decision systems, definition amount at full capacity is 100%, and when refrigeration season, temperature is high more, humidity is low more, and the required load of central air-conditioning is bigger, otherwise less; When heating season, temperature is high more, humidity is high more, and the required load of central air-conditioning is less, otherwise bigger; The air quality parameters of gathering as deviation, calculates the actual load amount demand of system;
2) the operational system output characteristics of analysis-driven system
In central air conditioner system; Drive system is mainly water pump and blower fan; Central air-conditioning is analyzed the driving force of water pump and blower fan from the optimizing intelligent fuzzy controller; As the basis, is basis with following formula (3), formula (4) and (5) three formula of formula with the pump information of technological parameter acquisition module identification and user's input information:
Q0 in formula (3)～formula (5), H0, n0, N0 are respectively flow, lift, rotating speed, the power of water pump under declared working condition, and Q1, H1, n1, N1 are respectively flow, lift, rotating speed, the power of water pump under actual condition;
Can draw formula (6) by formula (3)～formula (5):
Therefore, all similar operating condition points must satisfy formula (7):
According to above-mentioned control method, the interval working range of high efficiency rotating speed of calculating pump in real time is 35HZ～45HZ;
3) collection technology data and internal and external environment parameter, heredity calculating, optimizing are handled
By above-mentioned steps 1) and step 2) calculating, draw at the high efficiency rotating speed of keeping under the comfort level situation intervally, process data, internal and external environment parameter of gathering and the demand that calculates are carried out Fuzzy Processing, thereby obtain optimal solution fast;
4) working strategies of output and collection feedback information, formation historical data base, adjustment operation
Through above-mentioned steps 1) calculate the service requirement frequency and the running status of cold temperature pump, coolant pump, blower fan, main frame to step 3); Output to the actuator devices of central air conditioner system then through signal output unit, and gather the feedback information of the actuator devices of central air conditioner system; At last data are carried out compression memory, form historical data base; Satisfy service condition if find in time to adjust when signal output does not conform to feedback information working strategies; After selecting shutdown or power down, system's storing data automatically.
In the above-mentioned control method, said optimizing processing procedure comprises cold warm water system adopted from optimizing efficiency tracking Control process, the cooling water system blower fan system of unifying and adopts the optimal conversion efficiency control procedure and main frame is adopted efficiency tracking Control process,
Saidly adopt following: when environment temperature, when the terminal load of central air-conditioning changes from optimizing efficiency tracking Control process to cold warm water system; The confession of each cold warm water in road, return water temperature, the temperature difference and flow also change thereupon; Flowmeter, differential pressure pickup and temperature sensor are delivered to central air-conditioning from optimizing Intelligent Fuzzy Control device with detected these parameters; Central air-conditioning from optimizing Intelligent Fuzzy Control device according to the real time data of being gathered, history data, calculate the optimum value of the cold warm water confession in the required refrigerating capacity of air conditioner load and each road, return water temperature, the temperature difference, pressure reduction and flow in real time; And regulate each frequency converter output frequency with this; The rotating speed of control chilled water pump changes supply and return water temperature, the temperature difference, pressure reduction and the flow that its flow makes chilled water system and operates in the optimal value that provides from the optimizing intelligent fuzzy controller;
Saidly adopt the optimal conversion efficiency control procedure following: when environment temperature, when the air conditioning terminal load changes to the cooling water system blower fan system of unifying; The rate of load condensate of central air conditioner main machine will change thereupon, and the optimal heat inversion temperature of main condenser also changes thereupon; From confession, return water temperature, the temperature difference and flow and the history data of optimizing Intelligent Fuzzy Control device according to the cooling water of being gathered; Calculate the optimal heat inversion temperature and the best entry and exit of the cooling water temperature of main condenser; And regulate the output frequency of cooling water pump and blower fan of cooling tower frequency converter with this; Control cooling water pump and blower fan of cooling tower rotating speed; The flow of dynamic adjustments cooling water and the air quantity of blower fan of cooling tower, the optimal value that the import and export temperature approaches fuzzy controller of cooling water is provided;
Said following: the various process datas and the internal and external environment parameter parameter of central air conditioner main machine running environment system being gathered comprehensively central air-conditioning to main frame efficiency tracking Control process; Utilize the efficiency tracking Control; Optimal control in dynamic is carried out in these interrelated, interactional main frames operations,, make air-conditioner host operate in optimum condition all the time to satisfy the non-linear requirement with time variation of central air conditioner system; With the highest efficiency efficient of maintenance, thus the energy consumption of minimizing main frame; Said process data and internal and external environment parameter parameter comprise environment temperature, humidity, air quality, the confession of cold warm water, return water temperature, pressure, flow, cold and hot amount, the supply and return water temperature of cooling water, pressure, flow, cold and hot amount, main frame operational factor.
Fig. 5 is the flow chart of a kind of central air-conditioning of the present invention from optimizing Intelligent Fuzzy Control method.As shown in Figure 5, a kind of central air-conditioning of the present invention is following from optimizing Intelligent Fuzzy Control method flow:
Bring into operation, initialization data, according to the energy-conservation selection of input-signal judging, if not, then get into manual mode, manually control starts, and gathers duty parameter then, gathers ambient parameter again, control output at last;
If energy-conservation selection " is " that then the load of computing system needs judges whether correctly according to duty parameter, if incorrect; Then recomputate duty parameter,, then carry out heredity and calculate if correct; Judge control model, if automatic mode, then according to hereditary result of calculation; Judge whether to meet the comfort level fuzzy control, if, then control output; If not, then getting into computing system again needs load, gets into circulation.
If select the comfort level pattern, then according to hereditary result of calculation, judge whether to meet the comfort level fuzzy control, if, then control output, if not, then getting into computing system again needs load, gets into circulation.
After the control output, and preserve parameter, get into energy-conservation selection more again, get into circulation.
Fig. 6 is the flow chart that optimizing according to the invention is handled.As shown in Figure 6, the flow process that optimizing according to the invention is handled is following: flow process begins, and imports current air conditioner load, primary quantity excursion and precision then, imports population number, crossing-over rate, aberration rate, γ and maximum hereditary generation again; Through parameter is carried out binary coding, obtain population information, then decoding; Fitness is calculated, judge whether to reach genetic algebra gmax, if not; Then evolve, obtain a new population, again decoding again based on the population of BEGA.If, then export current optimized individual and corresponding system running state, finish at last.
Fig. 7 is the schematic flow sheet of collection technology parameter according to the invention.As shown in Figure 7, the flow process of collection technology parameter according to the invention is following:
Said technological parameter comprises cold warm water water outlet duty parameter (temperature; Pressure; Flow etc.); Cold warm water backwater duty parameter (temperature; Pressure; Flow etc.); Cooling water water outlet duty parameter (temperature; Pressure; Flow etc.); Cooling water backwater duty parameter (temperature; Pressure; Flow etc.); External environment parameter (temperature; Pressure; Humidity; Air quality etc.); Interior ambient parameter (temperature; Pressure; Humidity; Air quality etc.); The customer parameter input; The Fuzzy Expert Control storehouse; Other relevant parameters; The main frame work information.The central air-conditioning energy intelligent controller is controlled cold warm water RACS, cooling water control subsystem, cooling blower RACS, air-conditioner host etc. through calculating the technological parameter of these collection in worksite.
Fig. 8 is the fuzzy control schematic flow sheet of cold warm water according to the invention.As shown in Figure 8; The fuzzy control flow process of cold warm water according to the invention is: according to the data of setting input; And the temperature return of value of system feedback, electrical quantity collection value, technological parameter collection value, adjustment control sends instruction and gives actuator; Actuator is controlled a plurality of circulating pumps, and air-conditioner host is regulated according to the operational factor of circulating pump; Air-conditioner host, evaporimeter and user form an air-conditioning system; Said evaporimeter Inlet and outlet water temperature feeds back to controller through temperature feedback system; The electrical quantity collector is gathered the electrical quantity of circulating pump, feeds back to controller; The technological parameter collector is gathered temperature, the pressure and other parameters of air-conditioning system, feeds back to controller.
The present invention is through gathering each control point technological parameter of central air conditioner system and indoor and outdoor surroundings parameter; According to system's actual load amount and terminal Cooling and Heat Source needs; Terminal and the circulatory system operational efficiency of real-Time Tracking Control; Optimize and revise the cycle of operation of main frame, each link of system is realized comprehensive control of operational energy efficiency, system is remained under the operating mode of high energy efficiency ratio move.Simultaneously, the present invention gathers the process data of central air conditioner system, energy consumption data and equipment operating data, forms the Based Intelligent Control storehouse; Through central air-conditioning from the optimizing intelligent fuzzy controller analyze, technical finesse such as computing, produce new control strategy, realize the online upgrading control algolithm; Energy-saving potential excavates, and the optimization system energy consumption simplifies the operation; With the operational efficiency of this each equipment of Adjustment System, reach purpose energy-efficient, Based Intelligent Control.
This central air-conditioning possesses the collection energy consumption statistics from optimizing Intelligent Fuzzy Control device; The user can calculate the annual power saving rate at any time, the user can contrasting data the power saving rate of record storage compare with the power saving rate of electric energy meter record, to guarantee the science and the practicality of power saving rate detection; Adopt after the analysis-by-synthesis central air-conditioning behind the optimizing intelligent fuzzy controller the average power saving rate of air-conditioning system 25%～45%; Power savings is obvious, and it is bigger that the user is benefited, and is suitable for wideling popularize application.
Claims (9)
1. a central air-conditioning is from optimizing Intelligent Fuzzy Control device; Comprise fuzzy controller, data acquisition unit, touch display screen (12) and host computer (13); Said data acquisition unit, touch display screen (12) and host computer (13) are connected with fuzzy controller respectively, and said fuzzy controller is connected with the actuator devices of central air conditioner system, it is characterized in that; Also comprise remote control computer (14), said remote control computer (14) is connected with fuzzy controller;
Said data acquisition unit comprises temperature sensor (15), humidity sensor (16), pressure sensor (17) and cold and hot scale (18);
The actuator devices of said central air conditioner system comprises cold temperature pump (7), coolant pump (8), blower fan (9), control valve (10) and central air conditioner system main frame (11);
Said fuzzy controller comprises that technological parameter is gathered Filtering Processing module (1), control module (2), central air-conditioning optimizing algorithm module (3), logical signal output module (4), conditioning signal output module (5) and feedback signal acquisition processing module (6) are resolved in coordination; Said coordination is resolved control module (2) and is connected with feedback signal acquisition processing module (6) with technological parameter collection Filtering Processing module (1), central air-conditioning optimizing algorithm module (3) respectively, and said logical signal output module (4) is connected with central air-conditioning optimizing algorithm module (3) respectively with conditioning signal output module (5); Said technological parameter is gathered Filtering Processing module (1) and is connected with data acquisition unit, in order to the data message of real-time processing data harvester collection and send to coordination parsing control module (2); Said feedback signal acquisition processing module (6) is connected with the actuator devices of central air conditioner system; Be used for gathering in real time temperature, pressure, flow and the switching value signal of central air conditioner system and send to said coordination resolving control module (2); Said coordination is resolved control module (2) and is connected with touch display screen, host computer and remote control computer; In order to receive data and control instruction; And send work order according to control instruction to central air-conditioning optimizing algorithm module (3) and also transmit the data acquisition information that receives; Said central air-conditioning optimizing algorithm module (3) is carried out the optimizing data according to data acquisition information, and sends the associative operation instruction through logical signal output module (4) and conditioning signal output module (5) to the actuator devices of central air conditioner system.
2. a kind of central air-conditioning as claimed in claim 1 is from optimizing Intelligent Fuzzy Control device; It is characterized in that; Described technological parameter is gathered Filtering Processing module (1) and is comprised microprocessor (101), signal condition unit (102), digital to analog converter (103), wave filter (104) and a CAN communication module (105); Said signal condition unit (102) is connected with temperature sensor (15), humidity sensor (16), pressure sensor (17) and cold and hot scale (18); In order to real-time image data information; And pass through digital to analog converter (103) and wave filter (104) according to this data message of gathering is carried out sending to microprocessor (101) after analog-to-digital conversion and the filtering, the data message after said microprocessor (101) will be handled through a CAN communication module (105) sends to coordination parsing control module (2).
3. a kind of central air-conditioning as claimed in claim 1 is from optimizing Intelligent Fuzzy Control device; It is characterized in that said coordination is resolved control module (2) and comprised ARM microprocessor (201) and first data storage (202) that is connected with ARM microprocessor (201) respectively, a FLASH memory (203), RS485 communication module (204), Ethernet unit (205), wireless monitor module (206) and the 2nd CAN communication module (207); Said ARM microprocessor (201) is connected with a FLASH memory (203) with first data storage (202) respectively through spi bus; Said ARM microprocessor (201) is connected with remote control computer through communication module (204); Said ARM microprocessor (201) is connected with touch display screen (12) with host computer respectively through Ethernet unit (205); Said ARM microprocessor (201) is connected with wireless supervisory control system through wireless monitor module (206); Said ARM microprocessor (201) is gathered Filtering Processing module (1) through the 2nd CAN communication module (207) and technological parameter and is connected.
4. a kind of central air-conditioning as claimed in claim 1 is from optimizing Intelligent Fuzzy Control device; It is characterized in that said central air-conditioning optimizing algorithm module (3) comprises digital signal processor (301) and second data storage (302) that is connected with digital signal processor (301) respectively, the 2nd FLASH memory (303), the 3rd CAN communication module (304), dual port RAM module (305) and clock module (306); Said digital signal processor (301) is connected with the 2nd FLASH memory (303) with second data storage (302) respectively through spi bus; Said digital signal processor (301) is resolved control module (2) through dual port RAM module (305) and coordination and is connected; Said digital signal processor (301) is connected with conditioning signal output module (5) with logical signal output module (4) respectively through the 3rd CAN communication module (304); Said clock module (306) is connected with digital signal processor (301) through iic bus.
5. a kind of central air-conditioning as claimed in claim 1 is from optimizing Intelligent Fuzzy Control device; It is characterized in that; Said logical signal output module (4) comprises microprocessor, Signal Spacing unit, driver element, relay and parallel buffer, and said microprocessor is connected with central air-conditioning optimizing algorithm module (3) through parallel buffer; Said microprocessor (22) is connected with driver element through the Signal Spacing unit, and said driver element is connected with the relay of the actuator devices of central air conditioner system.
6. a kind of central air-conditioning as claimed in claim 1 is from optimizing Intelligent Fuzzy Control device; It is characterized in that; Said conditioning signal output module (5) comprises microprocessor, Signal Spacing unit, current output unit, parallel buffer, and said microprocessor is connected with central air-conditioning optimizing algorithm module (3) through parallel buffer; Said microprocessor is connected with current output unit through the Signal Spacing unit, and said current output unit is connected with the actuator devices of central air conditioner system.
7. a kind of central air-conditioning as claimed in claim 1 is from optimizing Intelligent Fuzzy Control device; It is characterized in that; Said feedback signal acquisition processing module (6) comprises Signal Spacing unit, microprocessor and CAN communication module; Said microprocessor through the Signal Spacing unit respectively with the actuator devices that is arranged on central air conditioner system on temperature sensor, voltage sensor and current sensor be connected, microprocessor through the CAN communication module with coordinate parsing control module (2) and be connected.
8. a central air-conditioning is from optimizing Intelligent Fuzzy Control method; Cold warm water system, cooling water system, blower fan of cooling tower and the host computer system of central air-conditioning are controlled comprehensively from optimizing intelligent fuzzy controller device in order to central air-conditioning; Said central air-conditioning is accepted control instruction that remote control computer sends and data through the Ethernet unit or is accepted control instruction and data that on-the-spot host computer and touch-screen send through communication module and carry out from the work of optimizing Intelligent Fuzzy Control from optimizing Intelligent Fuzzy Control device; It is characterized in that; Said central air-conditioning comprises under the power frequency pattern under optimizing Intelligent Fuzzy Control process and energy saver mode from optimizing Intelligent Fuzzy Control process from optimizing Intelligent Fuzzy Control method, comprises under the comfort level pattern under optimizing Intelligent Fuzzy Control process and automatic mode from optimizing Intelligent Fuzzy Control process from optimizing Intelligent Fuzzy Control process under the said energy saver mode;
Comprise following process from optimizing Intelligent Fuzzy Control process under the said power frequency pattern:
Gather confession, return water temperature, pressure, flow and the cold and hot amount of the cold warm water of central air conditioner system,
Gather confession, return water temperature, pressure, flow and the cold and hot amount of the cooling water of central air conditioner system,
Gather the central air conditioner system main frame operational factor of central air conditioner system, the running status and the consumption information of pump; Central air-conditioning carries out analyzing and processing from optimizing intelligent fuzzy controller device to the data message of gathering; And analysis processing result shown, so that keep watch on;
Confirm that from optimizing Intelligent Fuzzy Control process need output characteristics, collection technology data and the internal and external environment parameter of the required actual load of central air conditioner system, analysis-driven system, heredity are calculated, optimizing is handled, exported and gather feedback information and form historical data base under the said comfort level pattern; The working strategies of adjustment operation at last specifically comprises following process:
1) actual load that affirmation system is required
Remembering with gratitude of comfort level is incorporated in the control to central air-conditioning, and three parameters selecting for use are temperature, relative humidity and wind speed; According to the weather conditions of locality, the empirical equation of utilizing long-term statistics to sum up, suc as formula (1):
In the formula, F is the comfort level index; T is a temperature in the controlled room; Rh is a relative humidity in the controlled room; V is a wind speed in the controlled room;
The F value of general a home from home is between 51-78, and the optimum reelability quality value is 60; In influencing the temperature of comfort level, relative humidity and three parameters of wind speed, the most important thing is temperature, secondly be humidity, be wind speed at last; Generally the wind speed when indoor unlatching air-conditioning is 1m/s-2m/s, gets average 1.5m/s, obtains formula (2) after the simplification:
F＝1.8t-0.55(1.8t-26)(1-r
h)+28.08 （2）
Through type (2) draws system control comfort temperature and comfort humidity, the actual load amount demand that calculates system according to the effective area and the outdoor temperature humidity of building again;
2) the operational system output characteristics of analysis-driven system
In central air conditioner system; Drive system is mainly water pump and blower fan; Central air-conditioning is analyzed the driving force of water pump and blower fan from the optimizing intelligent fuzzy controller; As the basis, is basis with following formula (3), formula (4) and (5) three formula of formula with the pump information of technological parameter acquisition module identification and user's input information:
Q0 in formula (3)～formula (5), H0, n0, N0 are respectively flow, lift, rotating speed, the power of water pump under declared working condition, and Q1, H1, n1, N1 are respectively flow, lift, rotating speed, the power of water pump under actual condition;
Can draw formula (6) by formula (3)～formula (5):
Therefore, all similar operating condition points must satisfy formula (7):
According to above-mentioned control method, the interval working range of high efficiency rotating speed of calculating pump in real time is 35HZ～45HZ;
3) collection technology data and internal and external environment parameter, heredity calculating, optimizing are handled
By above-mentioned steps 1) and step 2) calculating, draw at the high efficiency rotating speed of keeping under the comfort level situation intervally, process data, internal and external environment parameter of gathering and the demand that calculates are carried out Fuzzy Processing, thereby obtain optimal solution fast;
4) output and collection feedback information form historical data base, adjustment operation working strategies
Through above-mentioned steps 1) calculate the service requirement frequency and the running status of cold temperature pump, coolant pump, blower fan, main frame to step 3); Output to the actuator devices of central air conditioner system then through signal output unit, and gather the feedback information of the actuator devices of central air conditioner system; At last data are carried out compression memory, form historical data base; Satisfy service condition if find in time to adjust when signal output does not conform to feedback information working strategies; After selecting shutdown or power down, system's storing data automatically;
Carry out output characteristics, collection technology data and the internal and external environment parameter of the required actual load of affirmation system, analysis-driven system, hereditary calculating, optimizing processing, export and gather feedback information and form historical data base from optimizing Intelligent Fuzzy Control process need under the said automatic mode; The working strategies of adjustment operation at last specifically comprises following process:
1) actual load that affirmation system is required
This pattern is applicable to the occasion that flow of personnel is bigger, and this pattern adopts sectional-regulated, this mode user entry personnel peak information, and central air-conditioning automatically adjusts from the optimizing intelligent fuzzy controller; Adopt the comfort level pattern at personnel's peak phase, its processing method is following:
Remembering with gratitude of comfort level is incorporated in the control to central air-conditioning, and three parameters selecting for use are temperature, relative humidity and wind speed; According to the weather conditions of locality, the empirical equation of utilizing long-term statistics to sum up, suc as formula (1):
In the formula, F is the comfort level index; T is a temperature in the controlled room; Rh is a relative humidity in the controlled room; V is a wind speed in the controlled room;
The F value of general a home from home is between 51-78, and the optimum reelability quality value is 60; In influencing the temperature of comfort level, relative humidity and three parameters of wind speed, the most important thing is temperature, secondly be humidity, be wind speed at last; Generally the wind speed when indoor unlatching air-conditioning is 1m/s-2m/s, gets average 1.5m/s, obtains formula (2) after the simplification:
F＝1.8t-0.55(1.8t-26)(1-r
h)+28.08 （2）
Through type (2) draws system control comfort temperature and comfort humidity, the actual load amount demand that calculates system according to the effective area and the outdoor temperature humidity of building again;
When personnel are not in peak time, adopt the load of meteorologic parameter decision systems, definition amount at full capacity is 100%, and when refrigeration season, temperature is high more, humidity is low more, and the required load of central air-conditioning is bigger, otherwise less; When heating season, temperature is high more, humidity is high more, and the required load of central air-conditioning is less, otherwise bigger; The air quality parameters of gathering as deviation, calculates the actual load amount demand of system;
2) the operational system output characteristics of analysis-driven system
In central air conditioner system; Drive system is mainly water pump and blower fan; Central air-conditioning is analyzed the driving force of water pump and blower fan from the optimizing intelligent fuzzy controller; As the basis, is basis with following formula (3), formula (4) and (5) three formula of formula with the pump information of technological parameter acquisition module identification and user's input information:
Q0 in formula (3)～formula (5), H0, n0, N0 are respectively flow, lift, rotating speed, the power of water pump under declared working condition, and Q1, H1, n1, N1 are respectively flow, lift, rotating speed, the power of water pump under actual condition;
Can draw formula (6) by formula (3)～formula (5):
Therefore, all similar operating condition points must satisfy formula (7):
According to above-mentioned control method, the interval working range of high efficiency rotating speed of calculating pump in real time is 35HZ～45HZ;
3) collection technology data and internal and external environment parameter, heredity calculating, optimizing are handled
By above-mentioned steps 1) and step 2) calculating, draw at the high efficiency rotating speed of keeping under the comfort level situation intervally, process data, internal and external environment parameter of gathering and the demand that calculates are carried out Fuzzy Processing, thereby obtain optimal solution fast;
4) working strategies of output and collection feedback information, formation historical data base, adjustment operation
Through above-mentioned steps 1) calculate the service requirement frequency and the running status of cold temperature pump, coolant pump, blower fan, main frame to step 3); Output to the actuator devices of central air conditioner system then through signal output unit, and gather the feedback information of the actuator devices of central air conditioner system; At last data are carried out compression memory, form historical data base; Satisfy service condition if find in time to adjust when signal output does not conform to feedback information working strategies; After selecting shutdown or power down, system's storing data automatically.
9. a kind of central air-conditioning shown in according to Claim 8 is from optimizing Intelligent Fuzzy Control method; It is characterized in that; Said optimizing processing procedure comprises cold warm water system adopted from optimizing efficiency tracking Control process, the cooling water system blower fan system of unifying and adopts the optimal conversion efficiency control procedure and main frame is adopted efficiency tracking Control process
Saidly adopt following: when environment temperature, when the terminal load of central air-conditioning changes from optimizing efficiency tracking Control process to cold warm water system; The confession of each cold warm water in road, return water temperature, the temperature difference and flow also change thereupon; Flowmeter, differential pressure pickup and temperature sensor are delivered to central air-conditioning from optimizing Intelligent Fuzzy Control device with detected these parameters; Central air-conditioning from optimizing Intelligent Fuzzy Control device according to the real time data of being gathered, history data, calculate the optimum value of the cold warm water confession in the required refrigerating capacity of air conditioner load and each road, return water temperature, the temperature difference, pressure reduction and flow in real time; And regulate each frequency converter output frequency with this; The rotating speed of control chilled water pump changes supply and return water temperature, the temperature difference, pressure reduction and the flow that its flow makes chilled water system and operates in the optimal value that provides from the optimizing intelligent fuzzy controller;
Saidly adopt the optimal conversion efficiency control procedure following: when environment temperature, when the air conditioning terminal load changes to the cooling water system blower fan system of unifying; The rate of load condensate of central air conditioner main machine will change thereupon, and the optimal heat inversion temperature of main condenser also changes thereupon; From confession, return water temperature, the temperature difference and flow and the history data of optimizing Intelligent Fuzzy Control device according to the cooling water of being gathered; Calculate the optimal heat inversion temperature and the best entry and exit of the cooling water temperature of main condenser; And regulate the output frequency of cooling water pump and blower fan of cooling tower frequency converter with this; Control cooling water pump and blower fan of cooling tower rotating speed; The flow of dynamic adjustments cooling water and the air quantity of blower fan of cooling tower, the optimal value that the import and export temperature approaches fuzzy controller of cooling water is provided;
Said following: the various process datas and the internal and external environment parameter parameter of central air conditioner main machine running environment system being gathered comprehensively central air-conditioning to main frame efficiency tracking Control process; Utilize the efficiency tracking Control; Optimal control in dynamic is carried out in these interrelated, interactional main frames operations,, make air-conditioner host operate in optimum condition all the time to satisfy the non-linear requirement with time variation of central air conditioner system; With the highest efficiency efficient of maintenance, thus the energy consumption of minimizing main frame; Said process data and internal and external environment parameter parameter comprise environment temperature, humidity, air quality, the confession of cold warm water, return water temperature, pressure, flow, cold and hot amount, the supply and return water temperature of cooling water, pressure, flow, cold and hot amount, main frame operational factor.
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