CN102367980B - Central air-conditioning multi-dimension integrating optimization control system and method - Google Patents

Central air-conditioning multi-dimension integrating optimization control system and method Download PDF

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CN102367980B
CN102367980B CN201110320193.5A CN201110320193A CN102367980B CN 102367980 B CN102367980 B CN 102367980B CN 201110320193 A CN201110320193 A CN 201110320193A CN 102367980 B CN102367980 B CN 102367980B
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air
conditioning
operational factor
link
equipment
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CN102367980A (en
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张红宇
曾江华
关宁
梁勇
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Ao Yu power-saving technology limited company of Shenzhen
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AOYU CONTORL SYSTEM Co Ltd SHENZHEN CITY
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Abstract

The invention is suitable for the technical field of control, and provides a central air-conditioning multi-dimension integrating optimization control system and a method. The optimization control system comprises a plurality of sensors, a parameter collection box, a central controller and a plurality of intelligent control equipment, wherein the sensors are used for monitoring and collecting working parameters of each process link of an central air conditioner and power data consumed by process equipment; the parameter collection box is used for processing and transmitting data to the central controller; the central controller is used for carrying out integration analyses on the new collective working parameters and the power data, finding out a low-efficiency link of a current air conditioning system and causes, and then reasoning to obtain low-efficiency link and optimized working parameter combination of a relative process link; and the intelligent control equipment are used for adjusting working parameters of a corresponding process link on line according to the optimizing optimized working parameter combination, and all the links and the process equipment are operated under the optimized working parameters. The method provided by the invention has the advantages of realizing integrate optimization control of an operational process of a central air conditioner entire system, and reducing energy consumption of the air conditioning system.

Description

A kind of central air-conditioning multi-dimension integrating optimization control system and method
Technical field
The invention belongs to control technology field, relate in particular to a kind of central air-conditioning multi-dimension integrating optimization control system and method.
Background technology
According to statistics, Chinese large-sized public building construction area only has 4% of town building total amount, but has consumed 28% of building energy consumption total amount, is the high density field that building energy consumes.Dissimilar large public building power consumption feature is different, but identical be that the energy consumption of central air-conditioning has all accounted for wherein very large ratio.Statistics shows, air-conditioning energy consumption accounts for 40%~60% of building total energy consumption, accounts for the more than 15% of national energy aggregate consumption, and therefore, the energy consumption that reduces central air conditioner system has become the top priority of building energy conservation.But central air conditioner system is a complication system being comprised of a plurality of links, its process of refrigerastion be also one by a plurality of heat transfer links complex process in series, this process comprises 4 heat exchanges in the heat exchangers such as 5 Fluid Circulations such as indoor air circulation, chilled water circulation, refrigerant circulation, cooling water circulation, outdoor air circulation and air conditioner end equipment, evaporimeter, condenser, cooling tower, as shown in Figure of description 1.Building will be realized refrigeration, and its inner heat (refrigeration duty) must pass through these 5 circulations of air-conditioning system and 4 heat exchanges successively, just can be discharged into and in outside atmosphere, goes and obtain refrigeration.
Numerous links of central air conditioner system are connected successively, intercouple, interdependence, has strong correlation, the interruption of its any one link all will cause air-conditioning system refrigerating function to be lost, and the inharmonious of any one link operation all can cause that cooling system hydraulic performance decline and operation energy consumption increase.
On the other hand, from the central air conditioner system course of work, the energy consumption of central air-conditioning mainly comes from its five kinds of process equipments (being fluid machinery), comprise end-equipment blower fan, chilled water pump, refrigeration compressor, cooling water pump and blower fan of cooling tower, these process equipments are conveying equipments of each Fluid Circulation of central air conditioner system, the selection of its capacity be take air conditioner load as foundation, and the impact that air conditioner load is changed by outdoor weather condition and indoor visitor flow rate, there is time variation feature, change at any time.
When air conditioner load changes, except can regulating its refrigerant circulation flow automatically, some novel refrigeration unit can adapt to refrigeration requirement that load variations causes changes to change the output of its cold, in air-conditioning system, other process equipment does not all have the such automatic regulation function of New Refrigerating unit, their operational factor can not followed the variation of load and automatically be regulated, conventionally under the rated load parameter of design, move, so just cause some link running status of air-conditioning system inharmonious with load, between links, operation is also inharmonious, whole air-conditioning system refrigerating efficiency is declined.
At present, though control technology and product on central air-conditioning energy market are many, but these technology and product mostly only go consider and deal with problems from the local link of easy enforcement, as only paid close attention to the energy-conservation of a certain water pump (chilled water pump or cooling water pump) or a certain blower fan (blower fan of cooling tower or end wind cabinet blower fan), and ignored monitoring and the control to whole central air conditioner system operational factor and energy consumption.In fact, the control of a certain local link, not only has impact to the running status of this link, and it has impact to the running status of the even whole air-conditioning system of other link.If only pay close attention to the energy-conservation of local link, ignored with other link between mutual coordination with mate, tend to cause other Link Efficiency to decline (as refrigeration unit coefficient of performance reduces), like this, although the equipment of local link has saved some energy, from the not energy-conservation even energy consumption of whole system, raise.
Summary of the invention
The object of the embodiment of the present invention is to provide a kind of central air-conditioning multi-dimension integrating optimization control system and method, be intended to by the comprehensive monitoring of central air conditioner system operational factor, integrated analysis, dynamic optimization and on-line control, to solve the problem that under varying load condition, central air conditioner system operational efficiency is low, energy consumption is high.
The embodiment of the present invention is to realize like this, a kind of central air-conditioning multi-dimension integrating optimization control system, described system comprises a plurality of sensors, the parameter acquisition case being connected with described a plurality of sensors, the central controller being connected with described parameter acquisition case and a plurality of intelligent control devices that are connected with described central controller, wherein:
Described a plurality of sensor is for comprehensive monitoring and gather the operational factor of each process procedure of central air-conditioning and the power data that process equipment consumes;
Described parameter acquisition case is for sending described central controller to after the operational factor of described new collection and power data processing;
Described central controller is for being updated to the operational factor of former storage and power data operational factor and the power data of new collection, and the operational factor of described new collection and power data are carried out to integrated analysis, find out the poor efficiency link of current air-conditioning system operation and the reason of generation poor efficiency, then reasoning obtains the optimization operational factor combination of poor efficiency link and related process link; And
Described a plurality of intelligent control device is for combining the operational factor of the corresponding process procedure of on-line control, so that all process procedures and process equipment all move under the operational factor of optimizing according to described optimization operational factor;
Wherein, described central controller, specifically for according to the operational factor of gathered air conditioning terminal indoor air circulation, judges that whether end air conditioner surroundings is reasonable or meets instructions for use; The power data consuming according to the chilled water circular flow parameter of described new collection and described each process equipment, calculates the heat transfer load of current air-conditioning system and energy efficiency and the total energy efficiency of air-conditioning system of links process equipment under current heat transfer load; During by the identical heat transfer load of the energy efficiency of described each process equipment and the total energy efficiency of air-conditioning system and former storage, historical data optimum efficiency value separately compares, and analyzes the poor efficiency link of finding out current air-conditioning system operation; According to described poor efficiency link, analyze the reason that judgement poor efficiency link produces.
Another object of the embodiment of the present invention is to provide a kind of central air-conditioning various dimensions integrated optimization control method, and described method comprises the steps:
Comprehensive monitoring also gathers the operational factor of each process procedure of central air-conditioning and the power data that process equipment consumes; By after described operational factor and power data processing, the operational factor and the power data that upgrade former storage are new operational factor and the power data gathering;
According to the operational factor of described new collection and power data, analyze, diagnose the operation conditions of current air-conditioning system links, find out the reason of poor efficiency link and generation poor efficiency;
According to the reason of described poor efficiency link and generation poor efficiency, reasoning obtains the optimization operational factor combination of poor efficiency link and related process link;
According to described optimization operational factor combination, the operational factor of the corresponding process procedure of on-line control, so that all links and process equipment all move under the operational factor of optimizing;
Wherein, described according to the operational factor of described new collection and power data, analyze, diagnose the operation conditions of current air-conditioning system links, the step of finding out the reason of poor efficiency link and generation poor efficiency specifically comprises:
According to the operational factor of gathered air conditioning terminal indoor air circulation, judge that whether end air conditioner surroundings is reasonable or meet instructions for use;
The power data consuming according to the chilled water circular flow parameter of described new collection and described each process equipment, calculates the heat transfer load of current air-conditioning system and energy efficiency and the total energy efficiency of air-conditioning system of links process equipment under current heat transfer load;
During by the identical heat transfer load of the energy efficiency of described each process equipment and the total energy efficiency of air-conditioning system and former storage, historical data optimum efficiency value separately compares, and analyzes the poor efficiency link of finding out current air-conditioning system operation;
According to described poor efficiency link, analyze the reason that judgement poor efficiency link produces.
The embodiment of the present invention provides a kind of a plurality of sensors that comprise, the parameter acquisition case being connected with the plurality of sensor, the central air-conditioning multi-dimension integrating optimization control system of the central controller being connected with this parameter acquisition case and a plurality of intelligent control devices that are connected with this central controller, by the operational factor of comprehensive monitoring and each process procedure of collection central air-conditioning and the power data that process equipment consumes, by after this data processing, by this central controller, this operational factor and power data are carried out to integrated analysis, find out the poor efficiency process procedure of current air-conditioning system and produce reason, reasoning obtains the optimization operational factor combination of poor efficiency link and related process link again, and optimize the operational factor of the corresponding process procedure of operational factor combination on-line control according to this, it is moved corresponding optimization under operational factor, thereby realize the integrated optimization control of each process procedure of conditioner and process equipment (being Spatial Dimension), improve corresponding process equipment and system-wide efficiency of energy utilization.In the running of central air-conditioning, the method of described integrated optimization control (being comprehensive monitoring, integrated analysis, dynamic optimization, on-line control) is constantly looped again and again, just can realize the optimal control in dynamic of central air-conditioning operation overall process (being time dimension), significantly reduce the energy consumption of central air conditioner system.
Accompanying drawing explanation
Fig. 1 is the flow chart that central air conditioner system realizes refrigeration;
Fig. 2 is the structure chart of the central air-conditioning multi-dimension integrating optimization control system that provides of first embodiment of the invention;
Fig. 3 is the realization flow figure of the central air-conditioning various dimensions integrated optimization control method that provides of second embodiment of the invention;
Fig. 4 is the realization flow figure of the integrated analysis step of the central air-conditioning various dimensions integrated optimization control method that provides of second embodiment of the invention.
The specific embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
The embodiment of the present invention provides a kind of central air-conditioning multi-dimension integrating optimization control system of a plurality of intelligent control devices that comprise a plurality of sensors, the parameter acquisition case being connected with the plurality of sensor, the central controller being connected with this parameter acquisition case and be connected with this central controller, realized the optimal control of conditioner and operation overall process, improve the operational efficiency of central air conditioner system, reduced the energy consumption of central air conditioner system.
The embodiment of the present invention provides a kind of central air-conditioning multi-dimension integrating optimization control system, and described system comprises:
Described system comprises a plurality of sensors, the parameter acquisition case being connected with described a plurality of sensors, the central controller being connected with described parameter acquisition case and a plurality of intelligent control devices that are connected with described central controller, wherein:
Described a plurality of sensor is for comprehensive monitoring and gather the operational factor of each process procedure of central air-conditioning and the power data that process equipment consumes;
Described parameter acquisition case is for sending described central controller to after described operational factor and power data processing;
Described central controller is for being updated to the operational factor of former storage and power data operational factor and the power data of new collection, and the operational factor of described new collection and power data are carried out to integrated analysis, find out the poor efficiency link of current air-conditioning system operation and the reason of generation poor efficiency, then reasoning obtains the optimization operational factor combination of poor efficiency link and related process link; And
Described a plurality of intelligent control device is for combining the operational factor of the corresponding process procedure of on-line control, so that all process procedures and process equipment all move under the operational factor of optimizing according to described optimization operational factor;
Wherein, described central controller, specifically for according to the operational factor of gathered air conditioning terminal indoor air circulation, judges that whether end air conditioner surroundings is reasonable or meets instructions for use; The power data consuming according to the chilled water circular flow parameter of described new collection and described each process equipment, calculates the heat transfer load of current air-conditioning system and energy efficiency and the total energy efficiency of air-conditioning system of links process equipment under current heat transfer load; During by the identical heat transfer load of the energy efficiency of described each process equipment and the total energy efficiency of air-conditioning system and former storage, historical data optimum efficiency value separately compares, and analyzes the poor efficiency link of finding out current air-conditioning system operation; According to described poor efficiency link, analyze the reason that judgement poor efficiency link produces.
The embodiment of the present invention also provides a kind of central air-conditioning various dimensions integrated optimization control method, and described method comprises the steps:
Comprehensive monitoring also gathers the operational factor of each process procedure of central air-conditioning and the power data that process equipment consumes; By after described operational factor and power data processing, the operational factor and the power data that upgrade former storage are new operational factor and the power data gathering;
According to the operational factor of described new collection and power data, analyze, diagnose the operation conditions of current air-conditioning system links, find out the reason of poor efficiency link and generation poor efficiency;
According to the reason of described poor efficiency link and generation poor efficiency, reasoning obtains the optimization operational factor combination of poor efficiency link and related process link;
According to described optimization operational factor combination, the operational factor of the corresponding process procedure of on-line control, so that all links and process equipment all move under the operational factor of optimizing;
Wherein, described according to the operational factor of described new collection and power data, analyze, diagnose the operation conditions of current air-conditioning system links, the step of finding out the reason of poor efficiency link and generation poor efficiency specifically comprises:
According to the operational factor of gathered air conditioning terminal indoor air circulation, judge that whether end air conditioner surroundings is reasonable or meet instructions for use;
The power data consuming according to the chilled water circular flow parameter of described new collection and described each process equipment, calculates the heat transfer load of current air-conditioning system and energy efficiency and the total energy efficiency of air-conditioning system of links process equipment under current heat transfer load;
During by the identical heat transfer load of the energy efficiency of described each process equipment and the total energy efficiency of air-conditioning system and former storage, historical data optimum efficiency value separately compares, and analyzes the poor efficiency link of finding out current air-conditioning system operation;
According to described poor efficiency link, analyze the reason that judgement poor efficiency link produces.
The embodiment of the present invention is by comprehensive monitoring and gather the operational factor of each process procedure of central air-conditioning and the power data that process equipment consumes, by after this data processing, by this central controller, the operational factor of this new collection and power data are carried out to integrated analysis, find out the poor efficiency link of current air-conditioning system and produce reason, reasoning obtains the optimization operational factor combination of poor efficiency link and related process link again, and optimize the operational factor of the corresponding process procedure of operational factor combination on-line control according to this, all links and process equipment are all moved under the operational factor of optimizing, thereby realize the integrated optimization control of conditioner (being Spatial Dimension), improved the efficiency of energy utilization of conditioner.In the running of central air-conditioning, the method of described integrated optimization control is constantly looped again and again, just can realize the optimal control in dynamic of central air-conditioning operation overall process (being time dimension), guaranteeing under the prerequisite of central air-conditioning service quality and safe and stable operation, reduce to greatest extent air conditioning energy consumption, realize maximum energy-saving.
Below in conjunction with specific embodiment, specific implementation of the present invention is described in detail:
embodiment mono-:
The process of refrigerastion of central air conditioner system is that a waste heat by interior of building is transferred to the reverse diabatic process of going in outside atmosphere.In central air conditioner system running, the dynamic change meeting of air conditioner load causes the reverse heat output of air-conditioning system to change, and the variation of heat output will change each Fluid Circulation and the heat-exchanging state of undertaking heat transmission and transfer thereupon, thereby cause whole process of refrigerastion to change, cause system-wide operational factor to change, and the not just parameter of local link variation.For this reason, adopt advanced information acquiring technology, by each operation information of the Fluid Circulation process equipment separated with each independently of central air conditioner system, be operational factor and corresponding process equipment power consumption, carry out comprehensive real time monitoring and collection, and be sent to the database of central controller, being integrated into one is mutually related, unified, on the control platform of coordinating, realize the comprehensive and data sharing of the operation information of conditioner, make each process procedure of this dispersion of system Central Plains independent operating, from physics, logic, interconnected being integrated in function, for condition has been created in the coordinated operation between them and the optimization of entire system performance.
Fig. 2 shows the structure of the central air-conditioning multi-dimension integrating optimization control system that first embodiment of the invention provides, and for convenience of explanation, only shows the part relevant to the embodiment of the present invention.
This central air-conditioning multi-dimension integrating optimization control system comprises a plurality of sensors 11, the parameter acquisition case 12 being connected with the plurality of sensor 11, the central controller 13 being connected with this parameter acquisition case 12 and a plurality of intelligent control devices 14 that are connected with this central controller 13, wherein:
The plurality of sensor 11 is for comprehensive monitoring and gather the operational factor of each process procedure of central air-conditioning and the power data that process equipment consumes.
In embodiments of the present invention, the plurality of sensor 11 comprises first sensor 111, the second sensor 112, the 3rd sensor 113 etc., and the plurality of sensor 11, for being arranged on the various sensors of each process procedure of central air conditioner system (process fluid circulation) suitable position, is monitored and is gathered the power of the main operational factor of links and process equipment consumption for realizing.Wherein, this each process procedure comprises indoor air circulation, chilled water circulation, the refrigerant circulation of refrigeration unit driven compressor, the cooling water circulation of cooling water pump driving that chilled water pump drives and the outdoor air circulation that blower fan of cooling tower drives that end-equipment blower fan drives; This process equipment comprises end-equipment blower fan, chilled water pump, refrigeration unit compressor, cooling water pump and blower fan of cooling tower.
Particularly, the indoor air circulation operational factor that this end-equipment blower fan drives, comprises the parameters such as wind pushing temperature, air output, return air temperature, return air humidity, return air amount, return air CO2 concentration, exhaust air rate, indoor pressure-fired; The chilled water circular flow parameter that this chilled water pump drives, comprises that chilled water water main temperature, chilled water return main temperature, chilled water are for parameters such as return main's pressure reduction, chilled water house steward flow, chilled water pump inlet pressure, chilled water pump outlet pressures; The refrigerant circulation operational factor of this refrigeration unit driven compressor, comprises the parameters such as each unit evaporimeter leaving water temperature, evaporimeter inflow temperature, condenser leaving water temperature, condenser inflow temperature, rate of load condensate; The cooling water circulation operational factor that this cooling water pump drives, comprises the parameters such as cooling water outfall sewer temperature, cooling water return main temperature, cooling water pump inlet pressure, cooling water pump outlet pressure, condenser inlet outlet pressure differential; The outdoor air circular flow parameter that this blower fan of cooling tower drives, comprises the parameters such as cooling tower inflow temperature, cooling tower leaving water temperature, outside air temperature, outdoor air humidity.
Particularly, the power of this process equipment consumption comprise power that end-equipment blower fan consumes, the power that chilled water pump consumes, the power that refrigeration unit compressor consumes, the power that cooling water pump consumes, the power that blower fan of cooling tower consumes etc.
This parameter acquisition case 12 is for sending this central controller 13 to after the operational factor of this new collection and power data processing.
In embodiments of the present invention, because the operational factor of each process procedure that utilizes the plurality of sensor 11 to obtain and the power data of each process equipment consumption are all analog data signals, therefore need to utilize this parameter acquisition case 12 that these analog data signals are processed and changed into after data signal, then send central controller 13 to and store.
This central controller 13 is connected with the plurality of intelligent control device 14 by the control bus based on RS485 standard Modbus agreement.
This central controller 13 is for being updated to the operational factor of former storage and power data operational factor and the power data of new collection, and the operational factor of this new collection and power data are carried out to integrated analysis, find out the poor efficiency link of current air-conditioning system operation and the reason of generation poor efficiency, then reasoning obtains the optimization operational factor combination of poor efficiency link and related process link.
Particularly, this central controller 13 receives after the data that send from this parameter acquisition case 12, operational factor and power data in former being stored in " operational parameter data storehouse " are upgraded, be specially the original operational parameter data of each process procedure is updated to corresponding current operational parameter data, the original power data of each process equipment is updated to corresponding current power data.
The process that the operational factor of 13 pairs of these new collections of this central controller and power data carry out integrated analysis is as follows:
First, this central controller 13 is according to the new operational factor return air temperature of air conditioning terminal air circulation, return air humidity, return air CO 2the data such as concentration, judge that whether end air conditioner surroundings parameter is reasonable or meet instructions for use, if end air conditioner surroundings parameter is unreasonable or backlog demand, regulate air-conditioning system related process equipment, to regulate the refrigerating capacity of air-conditioning system, supply with, end air conditioner surroundings parameter is remained in rational scope, guarantee that end has suitable air-conditioning effect.
Secondly, 13 pairs of new service datas of the links collecting of central controller gather, add up and comprehensively analyze, and according to the first law of thermodynamics (conservation of energy and conversion law), it is the principle that the heat that transmits between links in air conditioner refrigerating process should keep balance, the running status of air-conditioning system links under varying load condition and efficiency thereof are assessed and diagnosed, find out and in system, move inharmonious and link (being poor efficiency link) inefficiency.
Particularly, according to the operational factor of chilled water circulation, the heat transfer load Q that calculations of air conditioner system is current, be general refrigeration ability prepared by air-conditioning system, Q=ζ G Δ T, in this formula, Q is the current heat transfer load (being general refrigeration ability) of air-conditioning system, ζ is the constant relevant to chilled water specific heat, density etc., and G is chilled-water flow, and Δ T is the temperature difference between chilled water water supply, backwater.
Then calculate efficiency of energy utilization η (ratio of conduct heat load Q and the power N of its consumption) and the total energy efficiency η of air-conditioning system of links process equipment under current heat transfer load s, for example:
The energy efficiency η of end-equipment 1=Q/N 1;
The energy efficiency η of chilled water pump 2=Q/N 2;
The energy efficiency η of refrigeration unit 3=Q/N 3;
The energy efficiency η of cooling water pump 4=Q/N 4;
The energy efficiency η of blower fan of cooling tower 5=Q/N 5;
The energy efficiency η that whole air-conditioning system is total s=Q/(N 1+ N 2+ N 3+ N 4+ N 5)
Wherein, N 1for the general power that end-equipment blower fan consumes, N 2for the general power that chilled water pump consumes, N 3for the general power that refrigeration unit compressor consumes, N 4for the general power that cooling water pump consumes, N 5general power for blower fan of cooling tower consumption.
Its three, by the energy efficiency η of links process equipment 1, η 2, η 3, η 4, η 5and system total energy efficiency eta swhen the identical heat transfer storing with database Central Plains is loaded, the optimum efficiency value of historical data compares separately, to analyze, to diagnose the situation of current air-conditioning system links and total system operation, and finds out its poor efficiency link.Particularly, every energy efficiency, lower than the link of its historical data optimum efficiency value, is current fallback link; If system total energy efficiency eta salso lower than the optimum efficiency value of its historical data, further illustrate links operation in system and owe to coordinate, have poor efficiency link, need to carry out dynamic optimization adjusting, to improve entire system efficiency; If the energy efficiency of some link or system total energy efficiency, higher than the optimum efficiency value of historical data, are stored in " operational parameter data storehouse ", to refresh original related data.
Its four, the reason that the 13 pairs of poor efficiency links of central controller produce is carried out systemic integrated analysis, to search and to judge the reason of its poor efficiency, because find reason accurately, is to improve the key of these links and running efficiency of system; Conventionally, the reason that affects air-conditioning system links operational efficiency is more complicated, the reason (as equipment refinement operation and maintenance level etc.) that has operational management, also the reason (as progress control method science, reasonable etc. whether) that has technology, some reason not only affects the operational efficiency of this link, and can affect the even efficiency of whole system of other link.
Here only on affecting the technical reason of the links of air-conditioning system operational efficiency, analyze, and its decision rule is pre-stored within " the influence factor database " of central controller 13, during for integrated analysis, use, wherein:
Air conditioning terminal link common cause mainly contains: when air conditioning area density of personnel is relatively large and variation is larger, if it is improper that variable new wind ratio is dynamically controlled, return air, air draft and new wind are uneven, return air amount is too small, exhaust air rate is excessive, can cause a large amount of colds to run off, system effectiveness declines, now return air CO thereupon 2concentration is lower; If it is improper that the pressure-fired of air conditioning area is controlled, will cause a large amount of amorphous Air Flows (as the infiltration in door and window gap and convection current), increase the load of air-conditioning system; If the monitoring of fresh air enthalpy and utilize improperly, when conditioning in Transition Season or when night in summer, outdoor air enthalpy was lower than room air enthalpy, underuses the cold of outdoor air room air is lowered the temperature and cold-storage, to reduce the consumption of artificial cooling amount.
Chilled water link common cause mainly contains: chilled-water flow does not mate with transmitted cold, causes water system usually to run on the inefficient state of " large flow, the little temperature difference "; It is improper that dual pump system is controlled, and when secondary pump flow does not mate with a pump discharge, will have flow forward or backwards to exist in balance pipe (profit and loss pipe), all can cause a certain pump working in inefficient state; When if secondary pump flow is greater than a pump discharge, also can cause the supply water temperature of end-equipment to raise, cause end-equipment operational efficiency to reduce; When many loops or multizone supply water, easily produce dynamic waterpower unbalance, cause the cold and hot effect of each air conditioning area unbalanced, and chilled water pump energy consumption increases.
Refrigeration unit link common cause mainly contains: the group control method of refrigeration unit is improper, causes unit operation load not mate with its efficiency, and refrigeration unit does not work in efficient rate of load condensate region.
Cooling water link common cause mainly contains: cooling water flow amount control method is improper, or too high or too low (the 7.7.2 bar regulation in standard GB/T 50019-2003 < < heating and ventilation and In Air Conditioning Design standard > > of the cold in-water temperature that makes refrigeration unit condenser, the cooling water inlet temperature of compression type chiller unit should not be higher than 33 ℃, and minimum temperature should not be lower than 15.5 ℃; The cooling water inlet temperature of lithium bromide adsorption water chilling unit should not be higher than 33 ℃, minimum temperature should not be lower than 24 ℃), cause unit refrigerating efficiency to decline, or cooling water system is usually moved under the inefficient state of " large flow, the little temperature difference ", pump energy consumption is large.
Cooling tower link common cause mainly contains: cooling tower control method is improper, causes poor (being cooling panel height) of cooling tower leaving water temperature and outdoor wet-bulb temperature to depart from required value excessive, is unfavorable for the optimization of refrigeration unit condenser inflow temperature; During a plurality of cooling tower parallel running, the distribution of cooling water flow is controlled uneven, causes cooling gross efficiency to decline.
Visible, certain link operational efficiency of air-conditioning system is not only subject to the impact of this link control method, also be subject to the impact of other link running status, this is also that central air conditioner system is controlled one of reason that difficulty is larger, is also that central air conditioner system control must be carried out from " Spatial Dimension " basic reason of global optimization.
This central controller 13 is according to the pre-stored factors distinguishing rule that affects running efficiency of system and the current operational parameter data of air-conditioning system collecting, analyze, judge and find out the reason that causes that poor efficiency Link Efficiency is on the low side, for system operational parameters dynamic optimization provider to and foundation.
This central controller 13, according to the poor efficiency link of being somebody's turn to do and the reason of generation thereof, carries out dynamic optimization to the operational factor of poor efficiency link and related link, to promote its operational efficiency.
The object of system energy conservation control for central air-conditioning, to meet under the prerequisite of air-conditioning effect and security of operation, realize the optimization of central air conditioner system overall performance, and the optimization of air-conditioning system overall performance, to make exactly the total energy consumption of air-conditioning system operation minimum, for this reason, need to find the optimization operational factor of air-conditioning system poor efficiency link and related link under various load conditions.
Because air-conditioning system is a more complicated multiparameter system, the operational factor of links not only has one, and the combination being formed by a plurality of (more than 2) operational factor often.The operational factor combination of the single link of this air-conditioning system, we are referred to as little combination conventionally; And the whole system operational factor being formed by whole link operational factor combinations (numerous little combination) combination, we are referred to as large combination, and the operational factor combination that is depicted as links as following table one is little combination:
Table one
The dynamic optimization of central air conditioner system operational factor, should realize exactly the optimization of poor efficiency link operation, more to realize the optimization of whole system operation, if certain node optimization (local optimum) can not get both with system optimization (global optimization), take system optimization as the main poor efficiency link of taking into account.
In embodiments of the present invention, concrete operational factor dynamic optimization principle is:
This central controller 13 is according to the result of above-mentioned integrated analysis, the i.e. reason of this poor efficiency link and generation thereof, application " parameter optimization rule " (is that operational factor is from optimizing, self adaptation optimal control in dynamic model), and with reference to historical Optimal Parameters data during identical heat transfer load in former " the Optimal Parameters database " that is stored in this central controller, automated reasoning is selected the optimization operational factor combination of the lower air-conditioning system poor efficiency link of current heat transfer load and related process link, make the whole diabatic process of air-conditioning system---from the heat absorption of end-equipment, the heat transfer of chilled water, the heat of refrigeration unit is transformed into the heat extraction (as shown in Figure 1) of cooling water and cooling tower, all links are all in balance and coordination state operation mutually, be all operations under the operational factor combination of optimizing of total system, thereby realize the optimization of air-conditioning system-wide performance.
Here said air-conditioning system optimization of operating parameters is regular, and operational factor, from optimizing, self adaptation optimal control in dynamic model, comprising:
The principle of optimality of air conditioning terminal link operational factor is optimal control in dynamic model, comprises that " little new wind " air conditioning condition when fresh air enthalpy that freezes summer is greater than return air enthalpy controls that model (controlling model containing the pressure-fired that maintains the reasonable pressure distribution of Indoor environment), conditioning in Transition Season refrigeration fresh air enthalpy are less than return air enthalpy and " all-fresh air " air conditioning condition while being greater than air-supply enthalpy " replacement aeration " operating conditions model when controlling model, winter refrigeration fresh air enthalpy and being less than return air enthalpy and being less than air-supply enthalpy;
The principle of optimality of chilled water link operational factor is optimal control in dynamic model, comprises that chilled water return water temperature accurately controls the dynamic hydraulic equilibrium regulation-control model that (preventing large flow, the little temperature difference) model, dual pump system low-temperature receiver side and load side flow matches are controlled model, many loops or multizone water system;
The principle of optimality of refrigeration unit link operational factor is optimal control in dynamic model, is mainly refrigeration unit energy efficiency and rate of load condensate Dynamic Matching (guaranteeing that unit operation is in efficient loading zone) and controls model;
The principle of optimality of cooling water and cooling tower link operational factor is optimal control in dynamic model, is mainly based on the minimum adaptive optimization of refrigeration system total energy consumption (being refrigeration unit, cooling water pump, blower fan of cooling tower three energy consumption sum) and controls model;
Here the optimization operational factor of said poor efficiency link and related link combination, comprising:
The optimization operational factor combination of air conditioning terminal link;
The optimization operational factor combination of chilled water link;
The optimization operational factor combination of refrigeration unit link;
The optimization operational factor combination of cooling water link;
The optimization operational factor combination of cooling tower link.
Finally, central controller 13 is sent to the optimization operational factor combination of poor efficiency link and related link in corresponding intelligent control device, be stored in " Optimal Parameters database " simultaneously, to enrich constantly and to improve the data combination in this " Optimal Parameters database ", now, central controller 13 also transfer control instruction to corresponding intelligent control device.
The plurality of intelligent control device 14 is for optimizing the operational factor of operational factor combination on-line control poor efficiency link and related link, so that corresponding link and process equipment all move under optimization operational factor according to this.
Wherein, the plurality of intelligent control device 14 comprises the first intelligent control device 141, the second intelligent control device 142, the 3rd intelligent control device 143 etc., be specially by intelligent control unit, end-equipment Intelligent control cabinet or control cabinet that frequency converter etc. form, by intelligent control unit, the chilled water pump Intelligent control cabinet that frequency converter etc. form, the refrigeration unit intelligent controller being formed by intelligent control unit etc., by intelligent control unit, the cooling water pump Intelligent control cabinet that frequency converter etc. form, by intelligent control unit, cooling tower Intelligent control cabinet or control cabinet that frequency converter etc. form.
In addition, the plurality of intelligent control device 14 is connected by the corresponding process equipment of power cable and each, particularly, this end-equipment Intelligent control cabinet or control cabinet connect end-equipment, chilled water pump Intelligent control cabinet connects chilled water pump, refrigeration unit intelligent controller connection refrigeration unit, cooling water pump Intelligent control cabinet connection cooling water pump, cooling tower Intelligent control cabinet or control cabinet and connects cooling tower.
In embodiments of the present invention, the combination of optimization operational factor and control instruction that the plurality of intelligent control device 14 transmits according to central controller 13, real-time online regulates the operational factor of poor efficiency link and related link, the all process procedures of air-conditioning system and process equipment thereof are all moved under the operational factor of optimizing, rather than single link and equipment, thereby realized balance and the coordination of total system operation, guaranteed that the whole efficiency of air-conditioning system is optimum.
In embodiments of the present invention, the plurality of sensor is for comprehensive monitoring and gather the operational factor of each process procedure of central air-conditioning and the power data that process equipment consumes, this parameter acquisition case is for sending this central controller to after the operational factor of this new collection and power data processing, this central controller is for by the operational factor of originally storage and the power data operational factor and the power data that are updated to new collection, and the operational factor of this new collection and power data are carried out to integrated analysis, find out and in system, move inharmonic poor efficiency link, and analyze the reason of its generation, applying " parameter optimization rule " (is that operational factor is from optimizing again, self adaptation optimal control in dynamic model), reasoning obtains the optimization operational factor combination of poor efficiency link and related process link, the plurality of intelligent control device is for optimizing the operational factor of the corresponding link of operational factor combination on-line control according to this, so that all links and process equipment thereof all move under the operational factor of optimizing, like this, just find out and solved the operating inharmonious link of central air conditioner system under varying load condition, it is poor efficiency link, thereby realize the efficient coordinated operation of whole air-conditioning system, realize the optimization of air-conditioning system overall performance.
embodiment bis-:
Fig. 3 shows the realization flow of the central air-conditioning various dimensions integrated optimization control method that second embodiment of the invention provides, and details are as follows:
In step S301, comprehensive monitoring also gathers the operational factor of each process procedure of central air-conditioning and the power data that process equipment consumes, and by after the operational factor of this new collection and power data processing, upgrade the operational factor of former storage and operational factor and the power data that power data is this new collection.
In specific implementation process, by being arranged on the various sensors of each process procedure of central air conditioner system (process fluid circulation) suitable position, realize the power data of the main operational factor of links and process equipment consumption is monitored and gathered.Wherein, this process equipment comprises end-equipment blower fan, chilled water pump, refrigeration unit compressor, cooling water pump and blower fan of cooling tower, and this each process procedure comprises indoor air circulation, chilled water circulation, the refrigerant circulation of refrigeration unit driven compressor, the cooling water circulation of cooling water pump driving that chilled water pump drives and the outdoor air circulation that blower fan of cooling tower drives that end-equipment blower fan drives.
Particularly, the operational factor of this each process procedure comprises: the indoor air circulation operational factor that this end-equipment blower fan drives, comprises wind pushing temperature, air output, return air temperature, return air humidity, return air amount, return air CO 2the parameters such as concentration, exhaust air rate, indoor pressure-fired; The chilled water circular flow parameter that this chilled water pump drives, comprises that chilled water water main temperature, chilled water return main temperature, chilled water are for parameters such as return main's pressure reduction, chilled water house steward flow, chilled water pump inlet pressure, chilled water pump outlet pressures; The refrigerant circulation operational factor of this refrigeration unit driven compressor, comprises the parameters such as each unit evaporimeter leaving water temperature, evaporimeter inflow temperature, condenser leaving water temperature, condenser inflow temperature, rate of load condensate; The cooling water circulation operational factor that this cooling water pump drives, comprises the parameters such as cooling water outfall sewer temperature, cooling water return main temperature, cooling water pump inlet pressure, cooling water pump outlet pressure, condenser inlet outlet pressure differential; The outdoor air circular flow parameter that this blower fan of cooling tower drives, comprises the operational factors such as cooling tower inflow temperature, cooling tower leaving water temperature, outside air temperature, outdoor air humidity.The power of this process equipment consumption comprise power that end-equipment blower fan consumes, the power that chilled water pump consumes, the power that refrigeration unit compressor consumes, the power that cooling water pump consumes, the power that blower fan of cooling tower consumes.
In specific implementation process, the analog data signals such as the operational factor gathering and power change into after digital data signal by parameter acquisition case, send again central controller to, this central controller receives after this data-signal, operational factor and power data in former being stored in " operational parameter data storehouse " are upgraded, be specially, the operational factor of each process procedure in this database is updated to corresponding current operational factor, the power of each process equipment consumption is updated to the power of corresponding current consumption.
In step S302, according to the operational factor of this new collection and power data, analyze, diagnose the operation conditions of current air-conditioning system links, find out the reason of poor efficiency link and generation poor efficiency.
Central controller is according to the first law of thermodynamics (conservation of energy and conversion law), it is the principle that the heat that transmits between links in air conditioner refrigerating process should keep balance, the service data that each process procedure is new is analyzed, the running status of air-conditioning system links and efficiency thereof are diagnosed, search poor efficiency link, and analyze the reason of its inefficiency of judgement.
Step S302 specifically comprises the following steps, as shown in Figure 4:
In step 401, according to the operational factor of air conditioning terminal indoor air circulation, judge that whether end air conditioner surroundings is reasonable or meet instructions for use.
Wherein, when end air conditioner surroundings is unreasonable or do not meet instructions for use, regulate the refrigerating capacity of air-conditioning system to supply with, to guarantee that end air conditioner surroundings parameter remains in rational scope.
In specific implementation process, according to the operational factor return air temperature of air conditioning terminal air circulation, return air humidity, return air CO 2the data such as concentration, judge that whether end air conditioner surroundings parameter is reasonable or meet instructions for use, if end air conditioner surroundings parameter is unreasonable or backlog demand, regulate air-conditioning system related process equipment, to regulate the refrigerating capacity of air-conditioning system, supply with, end air conditioner surroundings parameter is remained in rational scope, guarantee that end has suitable air-conditioning effect.
In step S402, the power consuming according to the operational factor of this chilled water circulation and this each process equipment, calculates the heat transfer load of current air-conditioning system and energy efficiency and the total energy efficiency of air-conditioning system of links process equipment under current heat transfer load.
Wherein, step S402 specifically comprises the following steps:
First, according to the operational factor of this chilled water circulation, calculate and obtain the current heat transfer load of air-conditioning system;
In specific implementation process, according to the operational factor of chilled water circulation, the current heat transfer load Q(of calculations of air conditioner system is general refrigeration ability prepared by air-conditioning system), Q=ζ G Δ T, in this formula, Q is the current heat transfer load (being general refrigeration ability) of air-conditioning system, and ζ is the constant relevant to chilled water specific heat, density etc., G is chilled-water flow, and Δ T is the temperature difference between chilled water water supply, backwater.
Secondly, the power consuming according to this heats transfer load Q and links process equipment, calculates energy efficiency and the total energy efficiency of air-conditioning system of obtaining links process equipment under this heat transfer is loaded.
In specific implementation process, the efficiency of energy utilization η of links process equipment (ratio of conduct heat load Q and the power N of its consumption) and the total energy efficiency η of air-conditioning system sby following calculating, obtain:
The energy efficiency η of end-equipment 1=Q/N 1;
The energy efficiency η of chilled water pump 2=Q/N 2;
The energy efficiency η of refrigeration unit 3=Q/N 3;
The energy efficiency η of cooling water pump 4=Q/N 4;
The energy efficiency η of blower fan of cooling tower 5=Q/N 5;
The total energy efficiency eta of whole air-conditioning system s=Q/(N 1+ N 2+ N 3+ N 4+ N 5)
Wherein, N 1for the general power that end-equipment consumes, N 2for the general power that chilled water pump consumes, N 3for the general power that refrigeration unit consumes, N 4for the general power that cooling water pump consumes, N 5general power for blower fan of cooling tower consumption.
In step S403, during by the identical heat transfer load of the energy efficiency of this links process equipment and the total energy efficiency of air-conditioning system and former storage, the optimum efficiency value of historical data compares, and analyzes the poor efficiency link of finding out current air-conditioning system operation.
In specific implementation process, by this energy efficiency η 1, η 2, η 3, η 4, η 5and system total energy efficiency eta swhen the identical heat transfer storing with database Central Plains is loaded, the optimum efficiency value of historical data compares separately, to analyze, to diagnose the situation of current air-conditioning system links and total system operation, and finds out its poor efficiency link.Particularly, every energy efficiency, lower than the link of its historical data optimum efficiency value, is current fallback link; If system total energy efficiency eta salso lower than the optimum efficiency value of its historical data, further illustrate links operation in system and owe to coordinate, have poor efficiency link, need to carry out dynamic optimization adjusting, to improve entire system efficiency; If the energy efficiency of some link or system total energy efficiency, higher than the optimum efficiency value of historical data, are stored in " operational parameter data storehouse ", to refresh original related data.
In step S404, according to this poor efficiency link, analyze the reason that judgement poor efficiency link produces.
Because find reason accurately, it is the key of improving these links or running efficiency of system.Conventionally, the reason that affects air-conditioning system links operational efficiency is more complicated, the reason (as equipment refinement operation and maintenance level etc.) that has operational management, also have control technology reason (as, whether progress control method science, reasonable etc.), some reason not only affects the operational efficiency of certain link, and can affect the even efficiency of whole system of other link.
Here only on affecting the technical reason of the links of air-conditioning system operational efficiency, analyze, and its decision rule is pre-stored within " the influence factor database " of central controller, during for integrated analysis, use.
In specific implementation process, according to the pre-stored factors distinguishing rule that affects air-conditioning system operational efficiency and the current operational parameter data of air-conditioning system collecting, analyze, judge and find out the reason that causes that poor efficiency Link Efficiency is low, for system operational parameters dynamic optimization provider to and foundation
In step S303, according to the reason of this poor efficiency link and generation poor efficiency, reasoning obtains the optimization operational factor combination of poor efficiency link and related process link.
In specific implementation process, according to the result of above-mentioned integrated analysis, application " parameter optimization rule " (being that operational factor is from optimizing, self adaptation optimal control in dynamic model), and with reference to historical Optimal Parameters data combination during identical heat transfer load in former " the Optimal Parameters database " being stored in this central controller, reasoning, select the optimization operational factor combination of the lower poor efficiency link of current heat transfer load and related link, for example, the optimization operational factor of air conditioning terminal link combination; The optimization operational factor combination of chilled water link; The optimization operational factor combination of refrigeration unit link; The optimization operational factor combination of cooling water link; And the optimization operational factor of cooling tower link combination.
Here said air-conditioning system optimization of operating parameters is regular, and operational factor, from optimizing, self adaptation optimal control in dynamic model, comprising:
The principle of optimality of air conditioning terminal link operational factor is optimal control in dynamic model, comprises that " little new wind " air conditioning condition when fresh air enthalpy that freezes summer is greater than return air enthalpy controls that model (controlling model containing the pressure-fired that maintains the reasonable pressure distribution of Indoor environment), conditioning in Transition Season refrigeration fresh air enthalpy are less than return air enthalpy and " all-fresh air " air conditioning condition while being greater than air-supply enthalpy " replacement aeration " operating conditions model when controlling model, winter refrigeration fresh air enthalpy and being less than return air enthalpy and being less than air-supply enthalpy;
The principle of optimality of chilled water link operational factor is optimal control in dynamic model, comprises that chilled water return water temperature accurately controls the dynamic hydraulic equilibrium regulation-control model that (preventing large flow, the little temperature difference) model, dual pump system low-temperature receiver side and load side flow matches are controlled model, many loops or multizone water system;
The principle of optimality of refrigeration unit link operational factor is optimal control in dynamic model, is mainly refrigeration unit energy efficiency and rate of load condensate Dynamic Matching (guaranteeing that unit operation is in efficient loading zone) and controls model;
The principle of optimality of cooling water and cooling tower link operational factor is optimal control in dynamic model, is mainly based on the minimum adaptive optimization of refrigeration system total energy consumption (being refrigeration unit, cooling water pump, blower fan of cooling tower three energy consumption sum) and controls model;
In step S304, according to this, optimize operational factor combination, the operational factor of the corresponding process procedure of on-line control, so that corresponding link and process equipment all move under the operational factor of optimizing.
In specific implementation process, central controller sends to corresponding intelligent control device by air-conditioning system in the optimization operational factor combination that bends down effect link and related link when preload, corresponding intelligent control device real-time online regulates the operational factor of poor efficiency link and related link, all links and process equipment are all moved under the operational factor of optimizing, rather than single link and equipment, realize balance and coordination that total system conducts heat, to promote air-conditioning system whole efficiency, thereby obtain needed air-conditioning effect with minimum energy resource consumption (being that system total energy consumption is minimum).
As previously mentioned, from step S301 to step S304,---integrated analysis---dynamic optimization---on-line control that completed the comprehensive monitoring of air-conditioning system operational factor, an i.e. controlled circulation, then enter next controlled circulation, monitoring again of operational factor---analyzed---optimizing---again again and regulated, so go round and begin again, circulate endlessly, until central air conditioner system runs abort.Central air-conditioning process of refrigerastion is a reverse transfer process of continual heat, and the integrated optimization of its operational factor is also a continual process.Like this, both realize the global optimization of central air conditioner system operation total system (being on Spatial Dimension), realized again the dynamic optimization of operation overall process (being on time dimension).
Although central air conditioner system is in series by a plurality of heat transfer links, but an organic whole only has the heat keeping between links to transmit balance, could realize the optimization of air-conditioning system overall performance, and energy consumption is minimum; If only certain link or part link is wherein optimized to control, this is a kind of local optimum.Local optimum is in fact the Energy Intensity Reduction of certain equipment wherein of coveting or equipment component, and can not make entire system Energy Intensity Reduction, is not therefore overall optimization.The embodiment of the present invention is considered whole air-conditioning system as an organic whole, the whole air-conditioning system total energy consumption of take is minimum is target, by comprehensive monitoring and the integrated analysis of air conditioner operation parameters, find out the uneven point (being poor efficiency link) that under varying load condition, between links, heat transmits, and the solution of suiting the medicine to the illness, thereby realize the efficient coordinated operation of whole air-conditioning system, the integration that realizes air-conditioning system is energy-conservation, thereby the embodiment of the present invention is that the overall situation of carrying out based on Performance for Air Conditioning Systems global optimization is controlled.
Central air conditioner system is a dynamic changeable system, and the variation of air conditioner load and environment all can cause the change of air conditioning condition, causes running efficiency of system to decline.At present, popular simple control mode on market, all be difficult to adapt to this dynamic, the embodiment of the present invention fully takes into account air conditioner load and the changeable objectivity of environmental factor, the adaptability to changes that improves air-conditioning system of take is target, by control device from optimizing function, the optimal operating parameter of links (being first poor efficiency link) while automatically finding out load with environmental change, and real-time online regulates, make the operation of air-conditioning system catch up with in time the variation of load and environment, all the time run on optimum duty, the whole efficiency that guarantees air-conditioning system remains efficient state, thereby, the embodiment of the present invention is the real-time control of carrying out based on air-conditioning system operational factor dynamic optimization.
In embodiments of the present invention, by utilizing this central air-conditioning various dimensions integrated optimization control method, comprehensive monitoring also gathers the operational factor of each process procedure of central air-conditioning and the power data that process equipment consumes, by after this data processing, upgrade operational factor and the power data of former storage, according to the operational factor of this new collection and power data, the heat transfer load that calculations of air conditioner system is current, the efficiency of energy utilization of each process procedure and system, the reason of poor efficiency link and generation thereof is found out in analysis, applying " parameter optimization rule " (is that operational factor is from optimizing again, self adaptation optimal control in dynamic model), and with reference to historical Optimal Parameters data combination during identical heat transfer load in former being stored in " Optimal Parameters database ", the optimization operational factor combination of poor efficiency link and related link is obtained in reasoning, according to this, optimize operational factor combination and regulate in real time the operational factor of corresponding link, so that all links of air-conditioning system and process equipment thereof all move under the operational factor of optimizing, rather than single link and equipment, thereby realize system-wide energy-efficient operation, significantly reduce the energy consumption of air-conditioning system.
One of ordinary skill in the art will appreciate that all or part of step realizing in above-described embodiment method is to complete by the relevant hardware of programmed instruction, described program can be stored in a computer read/write memory medium, described storage medium, as ROM/RAM, disk, CD etc.
The embodiment of the present invention provides a kind of central air-conditioning multi-dimension integrating optimization control system of a plurality of intelligent control devices that comprise a plurality of sensors, the parameter acquisition case being connected with the plurality of sensor, the central controller being connected with this parameter acquisition case and be connected with this central controller, wherein, the plurality of sensor is used for comprehensive monitoring and gathers the operational factor of each process procedure of central air-conditioning and the power data that process equipment consumes; Parameter acquisition case is for sending central controller to after this operational factor and power data processing; Central controller is for being updated to the operational factor of former storage and power data operational factor and the power data of new collection, and operational factor and the power data of new collection accordingly, pass through integrated analysis, find out the poor efficiency link of air-conditioning system and the reason of generation thereof, then reasoning obtains the optimization operational factor combination of poor efficiency link and related link; A plurality of intelligent control devices regulate the operational factor of corresponding link in real time for optimize operational factor combination according to this, so that all link and the process equipments thereof of air-conditioning system all move under the operational factor of optimizing, solved the difficult problem that under varying load condition, central air conditioner system operational efficiency is low, energy consumption is high, realized the optimal control of conditioner (being Spatial Dimension) and operation overall process (being time dimension), reach balance and the coordination of total system operation, air-conditioning system whole efficiency is improved, and energy consumption is reduced.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any modifications of doing within the spirit and principles in the present invention, be equal to and replace and improvement etc., within all should being included in protection scope of the present invention.

Claims (8)

1. a central air-conditioning multi-dimension integrating optimization control system, it is characterized in that, described system comprises a plurality of sensors, the parameter acquisition case being connected with described a plurality of sensors, the central controller being connected with described parameter acquisition case and a plurality of intelligent control devices that are connected with described central controller, wherein:
Described a plurality of sensor is for comprehensive monitoring and gather the operational factor of each process procedure of central air-conditioning and the power data that process equipment consumes;
Described parameter acquisition case is for sending described central controller to after the operational factor of described new collection and power data processing;
Described central controller is for being updated to the operational factor of former storage and power data operational factor and the power data of new collection, and the operational factor of described new collection and power data are carried out to integrated analysis, find out the poor efficiency link of current air-conditioning system operation and the reason of generation poor efficiency, then reasoning obtains the optimization operational factor combination of poor efficiency link and related process link; And
Described a plurality of intelligent control device is for combining the operational factor of the corresponding process procedure of on-line control, so that all process procedures and process equipment all move under the operational factor of optimizing according to described optimization operational factor;
Wherein, described central controller, specifically for according to the operational factor of gathered air conditioning terminal indoor air circulation, judges that whether end air conditioner surroundings is reasonable or meets instructions for use; The power data consuming according to the chilled water circular flow parameter of described new collection and described each process equipment, calculates the heat transfer load of current air-conditioning system and energy efficiency and the total energy efficiency of air-conditioning system of links process equipment under current heat transfer load; During by the identical heat transfer load of the energy efficiency of described each process equipment and the total energy efficiency of air-conditioning system and former storage, historical data optimum efficiency value separately compares, and analyzes the poor efficiency link of finding out current air-conditioning system operation; According to described poor efficiency link, analyze the reason that judgement poor efficiency link produces.
2. the system as claimed in claim 1, is characterized in that, described central controller is connected with described a plurality of intelligent control devices by the control bus based on RS485 standard Modbus agreement.
3. the system as claimed in claim 1, it is characterized in that, described a plurality of intelligent control devices comprise end-equipment Intelligent control cabinet or control cabinet, chilled water pump Intelligent control cabinet, refrigeration unit intelligent controller, cooling water pump Intelligent control cabinet, cooling tower Intelligent control cabinet or control cabinet.
4. the system as claimed in claim 1, is characterized in that, described process equipment comprises end-equipment blower fan, chilled water pump, refrigeration unit compressor, cooling water pump and blower fan of cooling tower.
5. the system as claimed in claim 1, it is characterized in that, described each process procedure comprises indoor air circulation, chilled water circulation, the refrigerant circulation of refrigeration unit driven compressor, the cooling water circulation of cooling water pump driving that chilled water pump drives and the outdoor air circulation that blower fan of cooling tower drives that end-equipment blower fan drives.
6. a central air-conditioning various dimensions integrated optimization control method, is characterized in that, said method comprising the steps of:
Comprehensive monitoring also gathers the operational factor of each process procedure of central air-conditioning and the power data that process equipment consumes, and by after the operational factor of described new collection and power data processing, upgrade the operational factor of former storage and operational factor and the power data that power data is described new collection;
According to the operational factor of described new collection and power data, analyze, diagnose the operation conditions of current air-conditioning system links, find out the reason of poor efficiency link and generation poor efficiency;
According to the reason of described poor efficiency link and generation poor efficiency, reasoning obtains the optimization operational factor combination of poor efficiency link and related process link;
According to described optimization operational factor combination, the operational factor of the corresponding process procedure of on-line control, so that all links and process equipment all move under the operational factor of optimizing;
Wherein, described according to the operational factor of described new collection and power data, analyze, diagnose the operation conditions of current air-conditioning system links, the step of finding out the reason of poor efficiency link and generation poor efficiency specifically comprises:
According to the operational factor of gathered air conditioning terminal indoor air circulation, judge that whether end air conditioner surroundings is reasonable or meet instructions for use;
The power data consuming according to the chilled water circular flow parameter of described new collection and described each process equipment, calculates the heat transfer load of current air-conditioning system and energy efficiency and the total energy efficiency of air-conditioning system of links process equipment under current heat transfer load;
During by the identical heat transfer load of the energy efficiency of described each process equipment and the total energy efficiency of air-conditioning system and former storage, historical data optimum efficiency value separately compares, and analyzes the poor efficiency link of finding out current air-conditioning system operation;
According to described poor efficiency link, analyze the reason that judgement poor efficiency link produces.
7. method as claimed in claim 6, is characterized in that, described process equipment comprises end-equipment blower fan, chilled water pump, refrigeration unit compressor, cooling water pump and blower fan of cooling tower.
8. method as claimed in claim 6, it is characterized in that, described each process procedure comprises indoor air circulation, chilled water circulation, the refrigerant circulation of refrigeration unit driven compressor, the cooling water circulation of cooling water pump driving that chilled water pump drives and the outdoor air circulation that blower fan of cooling tower drives that end-equipment blower fan drives.
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