CN102168877A - Load prediction based group control method and device for central air-conditioning system - Google Patents

Load prediction based group control method and device for central air-conditioning system Download PDF

Info

Publication number
CN102168877A
CN102168877A CN2011100489156A CN201110048915A CN102168877A CN 102168877 A CN102168877 A CN 102168877A CN 2011100489156 A CN2011100489156 A CN 2011100489156A CN 201110048915 A CN201110048915 A CN 201110048915A CN 102168877 A CN102168877 A CN 102168877A
Authority
CN
China
Prior art keywords
machine temperature
preset value
temperature
time
refrigerator
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2011100489156A
Other languages
Chinese (zh)
Other versions
CN102168877B (en
Inventor
程朋胜
许晓鹏
李信洪
廖繁荣
田丽从
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Das Intellitech Co Ltd
Original Assignee
Shenzhen Das Intellitech Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Das Intellitech Co Ltd filed Critical Shenzhen Das Intellitech Co Ltd
Priority to CN 201110048915 priority Critical patent/CN102168877B/en
Publication of CN102168877A publication Critical patent/CN102168877A/en
Application granted granted Critical
Publication of CN102168877B publication Critical patent/CN102168877B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Air Conditioning Control Device (AREA)

Abstract

The invention discloses a load prediction based group control method and device for a central air-conditioning system. The method comprises the following steps of: S1, receiving commands of a time and adding and subtracting temperature matrix table and an adding and subtracting temperature correction table input by a user; S2, calculating a preset value of an optimal adding and subtracting temperature according to the current outdoor temperature acquired in real time, the time and adding and subtracting temperature matrix table and the adding and subtracting temperature correction table; and S3, determining whether the central air-conditioning system needs to increase or decrease the number of freezers and auxiliary machines through comparing the preset value of the optimal adding and subtracting temperature with the current temperature of a frozen backwater header pipe acquired in real time. The preset value of an adding temperature and/or the preset value of a subtracting temperature can be automatically adjusted and corrected through increasing the time and adding and subtracting temperature matrix table and the adding and subtracting temperature correction table; the problems of reducing the environmental comfortableness and wasting the energy consumption of the system due to the uncertainty of the outdoor temperature and the refrigeration capacity load needed by the system of the traditional central air-conditioning system are solved; and therefore, the purpose of economic and energy-saving operation is achieved.

Description

A kind of central air conditioner system group control method and device based on load prediction
Technical field
The present invention relates to central air-conditioning group control system field, relate in particular to a kind of central air conditioner system group control method and device based on load prediction.
Background technology
At present, in order to realize building central air conditioner system machine room unmanned, reduce the input of cost of labor, the part central air conditioner system has adopted the team control technology, realize that all devices moves automatically in the central air conditioner system, wherein, the group control method of building central air conditioner system generally is according to freezing return main's the temperature value computing system refrigerator operation demand table number of comparing with preset value, and it moves platform and counts the add-subtract control method and be:
1, add the machine method: when freezing return main's temperature value greater than after adding machine temperature preset value, the trigger timing begins to increase a cooling-water machine operation reach the delay time of setting when the timing time value after;
2, subtract the machine method: when freezing return main's temperature value less than after subtracting machine temperature preset value, the trigger timing begins to reduce a cooling-water machine operation reach the delay time of setting when the timing time value after;
Behind definite system refrigerator operation demand table number, subsidiary engine equipment such as system's refrigerating water pump, coolant pump, cooling tower, valve will move the demand table number according to refrigerator and mate the operation quantity required of self automatically, all devices starts relevant equipment according to the operation quantity required in the central air conditioner system, thereby whole system equipment is moved automatically.But, this method control parameter is more single, can not change and adjust parameter automatically with outdoor temperature or system loading, count in the process in calculating refrigerator operation demand table, when outdoor temperature uprises or system requirements cold load when increasing, system needs the operation quantity of response increase refrigerator fast, to guarantee environmental degree of comfort; When outdoor temperature step-down or system requirements cold load reduces, system needs response fast to reduce the operation quantity of refrigerator, reduce the surplus capacity of air conditioner refrigerating, reaching purpose of energy saving, but find, owing to outdoor temperature changes and the system requirements cold reasons such as uncertainty of loading through investigation, system fails response in time to adjust the operation quantity of refrigerator, like this, cause the system environments comfort level to reduce on the one hand, cause the waste of air-conditioning system energy consumption serious on the other hand.
At home, at present building property manager mostly can only be according to operating experience in the past, suitably adjust adding machine temperature preset value and delay time preset value, adopt the method for manual intervention, reduce the generation of this phenomenon as far as possible, but this way needs the manager that abundant field experience is arranged, not only increased gerentocratic burden, and caused higher management cost, in addition, this way implementation result is relatively poor, effectively energy efficient.
Abroad, adopt with refrigerator usually and carry out communication, obtain refrigerator operating load data; According to the variation of refrigerator operating load, adjust adding machine temperature preset value.But, because the large time delay of central air conditioner system, refrigerator operating load data can not effectively reflect the actual demand of central air conditioner system cold load, therefore, this method can not change the adding machine problem that causes from solving in essence by outdoor temperature or system loading, in addition, usually to purchase the refrigerator communication module with the refrigerator communication, it costs an arm and a leg, and the programming, debug all more complicated, be unfavorable for application.
In sum, there is following shortcoming in existing technical scheme:
1. adopt the method for manual intervention:
1) depend on gerentocratic level and operation, implementation result is poor;
2) adopt fixedly adding machine method of temperature, the situation of the adding machine that usually can cause lagging behind, variation that can not the self-adapting operation environment;
2. adopt method with the refrigerator communication:
1) can not change the adding machine problem that causes from solving in essence by outdoor temperature or system loading;
2) the refrigerator communication module costs an arm and a leg, and uses complexity, is unfavorable for promoting.
Summary of the invention
The technical problem to be solved in the present invention is, cause easily that environmental degree of comfort reduces, the defective of system energy consumption waste at prior art because outdoor temperature and system requirements cold load is uncertain, provide a kind of effectively energy-conservation, cheaply based on the central air conditioner system group control method and the device of load prediction.
The technical solution adopted for the present invention to solve the technical problems is: construct a kind of central air conditioner system group control method based on load prediction, said method comprising the steps of:
S1. receive user's Shu Rushijian ﹠amp; The order of adding machine temperature matrix table and adding machine temperature correction table, wherein, described Shi Jian ﹠amp; Adding machine temperature matrix table comprises time interval, reaches add machine temperature preset value and subtract machine temperature preset value corresponding with described time interval, and described adding machine temperature correction table comprises the outdoor temperature scope, reaches add machine temperature correction value and/or subtract machine temperature correction value corresponding with described outdoor temperature scope;
S2. according to real-time current outdoor temperature, the described Shi Jian ﹠amp that gathers of controller; The adding machine temperature preset value and/or subtract machine temperature preset value of adding machine temperature matrix table and described adding machine temperature correction table calculating optimum;
S3. by relatively more best adding machine temperature preset value and/or subtract machine temperature preset value and the real-time current freezing return main's temperature of gathering of controller, whether need to increase or reduce the quantity of refrigerator and subsidiary engine to judge central air conditioner system.
In the central air conditioner system group control method based on load prediction of the present invention, before step S2, also comprise:
The real-time current running status of gathering described current outdoor temperature, described current freezing return main's temperature, reaching refrigerator.
In the central air conditioner system group control method based on load prediction of the present invention, described step S2 further comprises:
Current running status and described Shi Jian ﹠amp according to described refrigerator; Adding machine temperature matrix table adds machine temperature preset value and subtracts machine temperature preset value and will be adjusted into preset value in the corresponding time interval automatically.
In the central air conditioner system group control method based on load prediction of the present invention, described step S2 further comprises:
Controller adds machine temperature preset value and/or subtracts machine temperature preset value from dynamic(al) correction according to described current outdoor temperature and described adding machine temperature correction table, adding machine temperature preset value and/or subtracting machine temperature preset value with calculating optimum.
In the central air conditioner system group control method based on load prediction of the present invention, described step S3 further comprises:
S31. judge described current freezing return main's temperature whether greater than the best add machine temperature preset value, if, execution in step S32 then, if not, execution in step S34 then;
S32. receive the order that the user is provided with first Preset Time, wherein, described first Preset Time is for increasing the startup delay time of refrigerator and subsidiary engine quantity;
S33. judge whether described first Preset Time arrives, if, then start refrigerator and subsidiary engine, if not, then step finishes;
S34. judge described current freezing return main's temperature whether less than the best subtract machine temperature preset value, if, execution in step S35 then, if not, then step finishes;
S35. receive the order that the user is provided with second Preset Time, wherein, described second Preset Time is for reducing the delay time of closing of refrigerator and subsidiary engine quantity;
S36. judge whether described second Preset Time arrives, if, then close refrigerator and subsidiary engine, if not, then step finishes.
The present invention also constructs a kind of central air conditioner system group control device based on load prediction, and described device specifically comprises successively and to connect:
Be used to receive user's Shu Rushijian ﹠amp; The receiver module of the order of adding machine temperature matrix table and adding machine temperature correction table, wherein, described Shi Jian ﹠amp; Adding machine temperature matrix table comprises time interval, reaches add machine temperature preset value and subtract machine temperature preset value corresponding with described time interval, and described adding machine temperature correction table comprises the outdoor temperature scope, reaches add machine temperature correction value and/or subtract machine temperature correction value corresponding with described outdoor temperature scope;
Be used for according to real-time current outdoor temperature, the described Shi Jian ﹠amp that gathers of controller; The adding machine temperature preset value and/or subtract the computing module of machine temperature preset value of adding machine temperature matrix table and described adding machine temperature correction table calculating optimum;
Be used for adding machine temperature preset value and/or subtracting machine temperature preset value and controller current freezing return main's temperature of collection in real time, whether need to increase or reduce the comparison module of the quantity of refrigerator and subsidiary engine to judge central air conditioner system by relatively more best.
In the central air conditioner system group control device based on load prediction of the present invention, described device also comprises:
Be connected and be used for gathering in real time described current outdoor temperature, described current freezing return main's temperature, and the acquisition module of the current running status of refrigerator with described computing module.
In the central air conditioner system group control device based on load prediction of the present invention, described computing module also comprises successively and to connect:
Be used for current running status and described Shi Jian ﹠amp according to described refrigerator; Adding machine temperature matrix table adds machine temperature preset value and subtracts the adjustment unit that machine temperature preset value will be adjusted into the preset value in the corresponding time interval automatically;
Be used for controller and add machine temperature preset value and/or subtract machine temperature preset value from dynamic(al) correction, adding machine temperature preset value and/or subtracting the correcting unit of machine temperature preset value with calculating optimum according to described current outdoor temperature and described adding machine temperature correction table.
In the central air conditioner system group control device based on load prediction of the present invention, described comparison module comprises:
Be used to judge that described current freezing return main's temperature is whether greater than first judging unit that adds machine temperature preset value of the best;
Be connected with described first judging unit and be used for described current freezing return main's temperature greater than the best add machine temperature preset value the time, receive the user be provided with first Preset Time order first the unit is set, wherein, described first Preset Time is for increasing the startup delay time of refrigerator and subsidiary engine quantity;
The unit is set is connected and is used to judge second judging unit whether described first Preset Time arrives with described first;
The start unit that is connected and is used for when described first Preset Time arrives, starting refrigerator and subsidiary engine with described second judging unit;
Be connected and be used for being not more than best when adding machine temperature preset value with described first judging unit, judge that described current freezing return main's temperature is whether less than the 3rd judging unit that subtracts machine temperature preset value of the best in described current freezing return main's temperature;
Be connected with described the 3rd judging unit and be used for described current freezing return main's temperature less than the best subtract machine temperature preset value the time, receive the user be provided with second Preset Time order second the unit is set, wherein, described second Preset Time is for reducing the delay time of closing of refrigerator and subsidiary engine quantity;
The unit is set is connected and is used to judge the 4th judging unit whether described second Preset Time arrives with described second;
Be connected with described the 4th judging unit and be used for when described second Preset Time arrives, closing the closing unit of refrigerator and subsidiary engine.
Implement technical scheme of the present invention, by on the central air conditioner system monitoring interface, increasing Shi Jian ﹠amp; Adding machine temperature matrix table and adding machine temperature correction table can be adjusted automatically and correction adds machine temperature preset value and/or subtracts machine temperature preset value, to judge the refrigerator that central air conditioner system is actual required and the quantity of subsidiary engine, solve current central air conditioner system owing to outdoor temperature and system requirements cold probabilistic reason of loading causes that environmental degree of comfort reduces, the problem of system energy consumption waste, reached the purpose of economical and energy saving operation.
Description of drawings
The invention will be further described below in conjunction with drawings and Examples, in the accompanying drawing:
Fig. 1 is the flow chart according to the central air conditioner system group control method based on load prediction of the present invention;
Fig. 2 is according to the flow chart based on step S3 in the central air conditioner system group control method of load prediction of the present invention;
Fig. 3 is the block schematic diagram according to the central air conditioner system group control device based on load prediction of the present invention.
The specific embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with drawings and Examples.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
Central air conditioner system group control method based on load prediction provided by the invention is by increasing Shi Jian ﹠amp on the central air conditioner system monitoring interface; Adding machine temperature matrix table and adding machine temperature correction table calculate best adding machine temperature preset value and/or subtract machine temperature preset value, and current freezing return main's temperature that itself and controller are gathered in real time compares, to judge the refrigerator that central air conditioner system is actual required and the quantity of subsidiary engine, see also Fig. 1, be flow chart according to the central air conditioner system group control method based on load prediction of the present invention.The detailed process of said method as shown in Figure 1, concrete steps comprise:
At first, in step S0, gather the current running status of deserving the outer temperature of cup, this current freezing return main's temperature and refrigerator in real time, should be noted that step S0 and step S1 among the present invention can implement simultaneously, also can successively implement, in the present embodiment, step S0 implemented before step S1, and those skilled in the art should understand, and did not limit technical scheme of the present invention at this.
Subsequently, at next step S2, receive user's Shu Rushijian ﹠amp; The order of adding machine temperature matrix table and adding machine temperature correction table, wherein, this Shi Jian ﹠amp; Adding machine temperature matrix table comprises time interval, reaches add machine temperature preset value and subtract machine temperature preset value corresponding with this time interval, this adding machine temperature correction table comprises the outdoor temperature scope, reaches add machine temperature correction value and/or subtract machine temperature correction value corresponding with this outdoor temperature scope, should be noted that this Shi Jian ﹠amp; Adding machine temperature matrix table and this adding machine temperature correction table are respectively as shown in Table 1 and Table 2.
In the present embodiment, the Shi Jian ﹠amp shown in the table 1; Adding machine temperature matrix table comprises time interval, add machine temperature preset value, and subtract machine temperature preset value, with time interval (0.0,24.00) be divided into 8 sections, wherein, corresponding to the time interval of 8 sections be respectively (0.0, T1), (T1, T2), (T2, T3), (T3, T4), (T4, T5), (T5, T6), (T7, T8), (T8,24.00) are respectively T11 corresponding to the machine temperature preset value that adds of those time intervals, T21, T31, T41, T51, T61, T71, T81, the machine temperature preset value that subtracts corresponding to those time intervals is respectively T12, T22, T32, T42, T52, T62, T72, T82.
Among the present invention, operating personnel are provided with different adding machine temperature preset value and subtract machine temperature preset value according to the load condition of central air conditioner system, in other embodiment, with time interval (0.0, T1) be example, the span of the T11 that it is corresponding is 10 ℃~15 ℃, the scope of the value of the T12 that it is corresponding is 7 ℃~12 ℃, but must satisfy T12<T11, generally speaking, the experience of the general basis of operating personnel oneself preferably T11 is set to 13 ℃, and T12 is set to 8 ℃, still, also can do corresponding adjustment according to actual conditions to adding machine temperature preset value and subtracting machine temperature preset value, for example, the central air conditioner system of factory's type, operating personnel can add machine temperature preset value and subtract machine temperature preset value according to factory's rule setting of working and resting, when the employee goes to work, adding machine temperature preset value can be suitably turned down, the quantity of refrigerator and subsidiary engine can be increased when the stream of people being increased cause indoor temperature to rise fast, to reach comfortable environment; When the employee comes off duty or relieves, can suitably transfer big adding machine temperature preset value, can reduce the quantity of refrigerator and subsidiary engine when the stream of people being reduced cause indoor temperature to descend fast, to reach purpose of energy saving.
Table 1
Figure BDA0000048455240000071
In the present embodiment, adding machine temperature correction table shown in the table 2 comprises the outdoor temperature scope, and adding machine temperature correction value, in the present embodiment, with time interval (0.0, T1) be example, suppose that the outdoor temperature scope is respectively (Temp1, Temp2), (Temp2, Temp3), at (Temp1, Temp2) in the scope, its corresponding adding machine temperature correction value is TA, at (Temp2, Temp3) in the scope, its corresponding adding machine temperature correction value is TB, when outdoor temperature is Temp2, its corresponding adding machine temperature correction value is 0, wherein, Temp1, Temp2, the span of Temp3 is 8 ℃~24 ℃, but must satisfy Temp1<Temp2<Temp3, the span of TA is-4 ℃~0 ℃, the span of TB is 0 ℃~4 ℃, and generally speaking, the experience of the general basis of operating personnel oneself preferably Temp1 is set to 25 ℃, Temp2 is set to 30 ℃, Temp3 is set to 35 ℃, and TA is set to-2 ℃, and TB is set to 2 ℃, but, also can do corresponding adjustment according to actual conditions, when outdoor temperature raises, suitably reduce adding machine temperature preset value adding machine temperature preset value and subtracting machine temperature preset value, when outdoor temperature reduces, suitably increase adding machine temperature preset value.
Table 2
Figure BDA0000048455240000081
Subsequently, at next step S2, according to real-time current outdoor temperature, this Shi Jian ﹠amp that gathers of controller; How adding machine temperature preset value and/or subtracting machine temperature preset value of adding machine temperature matrix table and this adding machine temperature correction table calculating optimum is specifically introduced according to current outdoor temperature, this Shi Jian ﹠amp according to different outdoor temperature scopes below; The adding machine temperature preset value of adding machine temperature matrix table and this adding machine temperature correction table calculating optimum, wherein, OutdoorTemp is current outdoor temperature:
1, when OutdoorTemp≤Temp1,
Add machine temperature=T11+TA, subtract machine temperature=T12+TA;
2, when Temp1<OutdoorTemp<Temp2,
Add machine temperature=T11+ (Temp2-OutdoorTemp) * TA/ (Temp2-Temp1),
Subtract machine temperature=T12+ (Temp2-OutdoorTemp) * TA/ (Temp2-Temp1);
3, when OutdoorTemp=Temp2,
Add the machine temperature and subtract the machine temperature and do not proofread and correct;
4, when Temp2<OutdoorTemp<Temp3,
Add machine temperature=T11-(OutdoorTemp-Temp2) * TB/ (Temp3-Temp2),
Subtract machine temperature=T12-(OutdoorTemp-Temp2) * TB/ (Temp3-Temp2);
5, when OutdoorTemp 〉=Temp3,
Add machine temperature=T11-TB, subtract machine temperature=T12-TB.
Preferably, according to the current running status and the described Shi Jian ﹠amp of this refrigerator; Adding machine temperature matrix table adds machine temperature preset value and subtracts machine temperature preset value and will be adjusted into preset value in the corresponding time interval automatically.
Preferably, according to deserving cup temperature and this adding machine temperature correction table general outward, controller adds machine temperature preset value and/or subtracts machine temperature preset value from dynamic(al) correction, adding machine temperature preset value and/or subtracting machine temperature preset value with calculating optimum.
Should be noted that, compared with prior art, the invention solves current central air conditioner system owing to outdoor temperature and system requirements cold probabilistic reason of loading causes that environmental degree of comfort reduces, the problem of system energy consumption waste, this method does not rely on gerentocratic practical operation level, implementation result is good, can add machine temperature preset value and/or subtract machine temperature preset value according to suitable adjustment of system operational parameters and correction, reach the purpose of economical and energy saving operation.
At last, in step S3,, whether need to increase or reduce the quantity of refrigerator and subsidiary engine to judge central air conditioner system by relatively more best adding machine temperature preset value and/or subtract machine temperature preset value and the real-time current freezing return main's temperature of gathering of controller.See also Fig. 2, be flow chart according to the central air conditioner system group control method step S3 based on load prediction of the present invention.Detailed process as shown in Figure 2, step S3 further comprises:
At first, at step S31, judge this current freezing return main's temperature whether greater than the best add machine temperature preset value, if, execution in step S32 then, if not, execution in step S34 then.
Subsequently, at next step S32, receive the order that the user is provided with first Preset Time, wherein, this first Preset Time should be noted that for increasing the startup delay time of refrigerator and subsidiary engine quantity this first Preset Time can be provided with voluntarily according to operating personnel's demand, those skilled in the art should understand, and does not repeat them here.
Subsequently,, judge whether this first Preset Time arrives at next step S33, if, then start refrigerator and subsidiary engine, if not, then step finishes.
Subsequently, at next step S34, judge this current freezing return main's temperature whether less than the best subtract machine temperature preset value, if, execution in step S35 then, if not, then step finishes.
Subsequently, at next step S35, receive the order that the user is provided with second Preset Time, wherein, this second Preset Time should be noted that for reducing the delay time of closing of refrigerator and subsidiary engine quantity this second Preset Time can be provided with voluntarily according to operating personnel's demand, those skilled in the art should understand, and does not repeat them here.
Subsequently,, judge whether this second Preset Time arrives at next step S36, if, then close refrigerator and subsidiary engine, if not, then step finishes.
Should be noted that in other embodiment, can first determining step S34, determining step S31 again, those skilled in the art should understand, and repeats no more here.
See also Fig. 3, be block schematic diagram according to the central air conditioner system group control device based on load prediction of the present invention.As shown in Figure 3, this device comprises receiver module 1, acquisition module 2, respectively with receiver module 1, the computing module 3 that acquisition module 2 connects, and the comparison module 4 that is connected with computing module 3, wherein, computing module 3 comprises the adjustment unit 31 that connects successively, and correcting unit 32, comparison module 4 comprises: first judging unit 41 of Lian Jieing successively, first is provided with unit 42, second judging unit 43, start unit 44, the 3rd judging unit 45 that is connected with first judging unit 41, and second unit 46 is set with the 3rd judging unit 45 is connected successively, the 4th judging unit 47, closing unit 48 specifies the effect of various piece below:
Receiver module 1 is used to receive user's Shu Rushijian ﹠amp; The order of adding machine temperature matrix table and adding machine temperature correction table, wherein, this Shi Jian ﹠amp; Adding machine temperature matrix table comprises time interval, reaches add machine temperature preset value and subtract machine temperature preset value corresponding with this time interval, this adding machine temperature correction table comprises the outdoor temperature scope, reaches add machine temperature correction value and/or subtract machine temperature correction value corresponding with this outdoor temperature scope, and above-mentioned Fig. 1, table 1 and table 2 have specifically described Shi Jian ﹠amp; Adding machine temperature matrix table and adding machine temperature correction table, those skilled in the art should understand, and repeats no more here.
Acquisition module 2, be used for gathering in real time and deserve temperature outside the cup, the current running status of this current freezing return main's temperature and refrigerator, in the present embodiment, controller can be gathered in real time and deserve the outer temperature of cup, the current running status of this current freezing return main's temperature and refrigerator, because before gathering, operating personnel need outdoor mounted temperature sensor or transmitter and on freezing return main also mounting temperature sensor or transmitter, also refrigerator and chilled water pump need be installed, the start and stop gauge tap of subsidiary engine such as cooling water pump and cooling tower, wherein, above-mentioned installed device all is connected with controller, those skilled in the art should understand, and repeats no more here.
Computing module 3 is used for the current outdoor temperature, this Shi Jian ﹠amp that gather in real time according to controller; The adding machine temperature preset value and/or subtract machine temperature preset value of adding machine temperature matrix table and this adding machine temperature correction table calculating optimum.
Comparison module 4 is used for whether needing to increase or reduce the quantity of refrigerator and subsidiary engine by relatively more best adding machine temperature preset value and/or subtract machine temperature preset value and the real-time current freezing return main's temperature of gathering of controller to judge central air conditioner system.
Adjustment unit 31 is used for current running status and this Shi Jian ﹠amp according to this refrigerator; Adding machine temperature matrix table adds machine temperature preset value and subtracts machine temperature preset value and will be adjusted into preset value in the corresponding time interval automatically.
Correcting unit 32 is used for controller and adds machine temperature preset value and/or subtract machine temperature preset value from dynamic(al) correction, adding machine temperature preset value and/or subtracting machine temperature preset value with calculating optimum according to deserving the outer temperature of cup and this adding machine temperature correction table.
First judging unit 41 is used to judge that whether this current freezing return main's temperature adds machine temperature preset value greater than the best.
First is provided with unit 42, be used for this current freezing return main's temperature greater than the best add machine temperature preset value the time, receive the order that the user is provided with first Preset Time, wherein, this first Preset Time is for increasing the startup delay time of refrigerator and subsidiary engine quantity, should be noted that, this first Preset Time can be provided with voluntarily according to operating personnel's demand, and those skilled in the art should understand, and does not repeat them here.
Second judging unit 43 is used to judge whether this first Preset Time arrives.
Start unit 44 is used for starting refrigerator and subsidiary engine when this first Preset Time arrives.
The 3rd judging unit 45 is used for being not more than in this current freezing return main's temperature best when adding machine temperature preset value, judges that whether this current freezing return main's temperature subtracts machine temperature preset value less than the best.
Second is provided with unit 46, be used for this current freezing return main's temperature less than the best subtract machine temperature preset value the time, receive the order that the user is provided with second Preset Time, wherein, this second Preset Time should be noted that for reducing the delay time of closing of refrigerator and subsidiary engine quantity this second Preset Time can be provided with voluntarily according to operating personnel's demand, those skilled in the art should understand, and does not repeat them here.
The 4th judging unit 47 is used to judge whether this second Preset Time arrives.
Closing unit 48 is used for closing refrigerator and subsidiary engine when this second Preset Time arrives.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within the claim scope of the present invention.

Claims (9)

1. the central air conditioner system group control method based on load prediction is characterized in that, said method comprising the steps of:
S1. receive user's Shu Rushijian ﹠amp; The order of adding machine temperature matrix table and adding machine temperature correction table, wherein, described Shi Jian ﹠amp; Adding machine temperature matrix table comprises time interval, reaches add machine temperature preset value and subtract machine temperature preset value corresponding with described time interval, and described adding machine temperature correction table comprises the outdoor temperature scope, reaches add machine temperature correction value and/or subtract machine temperature correction value corresponding with described outdoor temperature scope;
S2. according to real-time current outdoor temperature, the described Shi Jian ﹠amp that gathers of controller; Adding machine temperature matrix table, and the adding machine temperature preset value and/or subtract machine temperature preset value of described adding machine temperature correction table calculating optimum;
S3. by relatively more best adding machine temperature preset value and/or subtract machine temperature preset value and the real-time current freezing return main's temperature of gathering of controller, whether need to increase or reduce the quantity of refrigerator and subsidiary engine to judge central air conditioner system.
2. the central air conditioner system group control method based on load prediction according to claim 1 is characterized in that, also comprises before step S2:
The real-time current running status of gathering described current outdoor temperature, described current freezing return main's temperature, reaching refrigerator.
3. the central air conditioner system group control method based on load prediction according to claim 2 is characterized in that described step S2 further comprises:
Current running status and described Shi Jian ﹠amp according to described refrigerator; Adding machine temperature matrix table adds machine temperature preset value and subtracts machine temperature preset value and will be adjusted into preset value in the corresponding time interval automatically.
4. the central air conditioner system group control method based on load prediction according to claim 3 is characterized in that described step S2 further comprises:
Controller adds machine temperature preset value and/or subtracts machine temperature preset value from dynamic(al) correction according to described current outdoor temperature and described adding machine temperature correction table, adding machine temperature preset value and/or subtracting machine temperature preset value with calculating optimum.
5. the central air conditioner system group control method based on load prediction according to claim 2 is characterized in that described step S3 further comprises:
S31. judge described current freezing return main's temperature whether greater than the best add machine temperature preset value preset value, if, execution in step S32 then, if not, execution in step S34 then;
S32. receive the order that the user is provided with first Preset Time, wherein, described first Preset Time is for increasing the startup delay time of refrigerator and subsidiary engine quantity;
S33. judge whether described first Preset Time arrives, if, then start refrigerator and subsidiary engine, if not, then step finishes;
S34. judge described current freezing return main's temperature whether less than the best subtract machine temperature preset value, if, execution in step S35 then, if not, then step finishes;
S35. receive the order that the user is provided with second Preset Time, wherein, described second Preset Time is for reducing the delay time of closing of refrigerator and subsidiary engine quantity;
S36. judge whether described second Preset Time arrives, if, then close refrigerator and subsidiary engine, if not, then step finishes.
6. the central air conditioner system group control device based on load prediction is characterized in that, described device specifically comprises successively and to connect:
Be used to receive user's Shu Rushijian ﹠amp; The receiver module of the order of adding machine temperature matrix table and adding machine temperature correction table, wherein, described Shi Jian ﹠amp; Adding machine temperature matrix table comprises time interval, reaches add machine temperature preset value and subtract machine temperature preset value corresponding with described time interval, and described adding machine temperature correction table comprises the outdoor temperature scope, reaches add machine temperature correction value and/or subtract machine temperature correction value corresponding with described outdoor temperature scope;
Be used for according to real-time current outdoor temperature, the described Shi Jian ﹠amp that gathers of controller; The adding machine temperature preset value and/or subtract the computing module of machine temperature preset value of adding machine temperature matrix table and described adding machine temperature correction table calculating optimum;
Be used for adding machine temperature preset value and/or subtracting machine temperature preset value and controller current freezing return main's temperature of collection in real time, whether need to increase or reduce the comparison module of the quantity of refrigerator and subsidiary engine to judge central air conditioner system by relatively more best.
7. the central air conditioner system group control device based on load prediction according to claim 6 is characterized in that described device also comprises:
Be connected and be used for gathering in real time described current outdoor temperature, described current freezing return main's temperature, and the acquisition module of the current running status of refrigerator with described computing module.
8. the central air conditioner system group control device based on load prediction according to claim 7 is characterized in that, described computing module also comprises successively and to connect:
Be used for current running status and described Shi Jian ﹠amp according to described refrigerator; Adding machine temperature matrix table adds machine temperature preset value and subtracts the adjustment unit that machine temperature preset value will be adjusted into the preset value in the corresponding time interval automatically;
Be used for controller and add machine temperature preset value and/or subtract machine temperature preset value from dynamic(al) correction, adding machine temperature preset value and/or subtracting the correcting unit of machine temperature preset value with calculating optimum according to described current outdoor temperature and described adding machine temperature correction table.
9. the central air conditioner system group control device based on load prediction according to claim 8 is characterized in that described comparison module comprises:
Be used to judge that described current freezing return main's temperature is whether greater than first judging unit that adds machine temperature preset value of the best;
Be connected with described first judging unit and be used for described current freezing return main's temperature greater than the best add machine temperature preset value the time, receive the user be provided with first Preset Time order first the unit is set, wherein, described first Preset Time is for increasing the startup delay time of refrigerator and subsidiary engine quantity;
The unit is set is connected and is used to judge second judging unit whether described first Preset Time arrives with described first;
The start unit that is connected and is used for when described first Preset Time arrives, starting refrigerator and subsidiary engine with described second judging unit;
Be connected and be used for being not more than best when adding machine temperature preset value with described first judging unit, judge that described current freezing return main's temperature is whether less than the 3rd judging unit that subtracts machine temperature preset value of the best in described current freezing return main's temperature;
Be connected with described the 3rd judging unit and be used for described current freezing return main's temperature less than the best subtract machine temperature preset value the time, receive the user be provided with second Preset Time order second the unit is set, wherein, described second Preset Time is for reducing the delay time of closing of refrigerator and subsidiary engine quantity;
The unit is set is connected and is used to judge the 4th judging unit whether described second Preset Time arrives with described second;
Be connected with described the 4th judging unit and be used for when described second Preset Time arrives, closing the closing unit of refrigerator and subsidiary engine.
CN 201110048915 2011-03-01 2011-03-01 Load prediction based group control method and device for central air-conditioning system Active CN102168877B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201110048915 CN102168877B (en) 2011-03-01 2011-03-01 Load prediction based group control method and device for central air-conditioning system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201110048915 CN102168877B (en) 2011-03-01 2011-03-01 Load prediction based group control method and device for central air-conditioning system

Publications (2)

Publication Number Publication Date
CN102168877A true CN102168877A (en) 2011-08-31
CN102168877B CN102168877B (en) 2013-06-12

Family

ID=44490137

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201110048915 Active CN102168877B (en) 2011-03-01 2011-03-01 Load prediction based group control method and device for central air-conditioning system

Country Status (1)

Country Link
CN (1) CN102168877B (en)

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102567814A (en) * 2012-01-31 2012-07-11 河南省电力公司南阳供电公司 Method for predicting and calculating cooling load of regional power grid
CN102679496A (en) * 2012-05-14 2012-09-19 赖正伦 Load follow-up control method for central air conditioner
CN104729024A (en) * 2015-04-08 2015-06-24 南京优助智能科技有限公司 Air conditioning load prediction method based on indoor average temperature
CN104793594A (en) * 2015-04-08 2015-07-22 南京优助智能科技有限公司 Control command prediction method for power station group-control system
CN105387557A (en) * 2014-09-02 2016-03-09 三星电子株式会社 Method and device for controlling room temperature and humidity
CN105571063A (en) * 2015-12-31 2016-05-11 深圳市同鑫热力技术有限公司 Shallow geothermal energy source management system and implementation method thereof
CN106196415A (en) * 2014-08-15 2016-12-07 台达电子工业股份有限公司 Intelligent air conditioner control system and intelligent control method thereof
CN110645679A (en) * 2019-10-10 2020-01-03 南京瑞松信息科技有限公司 Central air-conditioning energy-saving control system and method for subway station
CN110940061A (en) * 2019-12-17 2020-03-31 珠海格力电器股份有限公司 Central air conditioner control method and system
CN111089333A (en) * 2019-12-24 2020-05-01 珠海格力电器股份有限公司 Heating, ventilating and air conditioning system and control method, device, equipment and storage medium thereof
CN112350849A (en) * 2020-09-15 2021-02-09 国网浙江省电力有限公司湖州供电公司 Intelligent setting and updating system for power monitoring data threshold value
CN112379648A (en) * 2020-11-17 2021-02-19 青岛北冰洋冷暖能源科技有限公司 Control method for judging whether unit is increased or decreased in cold station control system
CN113108432A (en) * 2020-09-09 2021-07-13 中维通(北京)科技有限公司 Air conditioning system adjusting method and system based on weather forecast
CN113865016A (en) * 2021-09-30 2021-12-31 珠海格力电器股份有限公司 Air conditioning system control method and device and air conditioning system
CN114543303A (en) * 2022-01-26 2022-05-27 深圳达实智能股份有限公司 Operation optimization method and system of central air-conditioning refrigeration station based on operation big data
CN115523644A (en) * 2022-11-04 2022-12-27 蘑菇物联技术(深圳)有限公司 Method, apparatus and storage medium for controlling host of air conditioning system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3998267A (en) * 1975-05-16 1976-12-21 Canada Square Management Ltd. Temperature control system
CN2578712Y (en) * 2003-01-08 2003-10-08 北京科瑞易联节能科技发展有限公司 Central hot water supply pump frequency variable controller of central air conditioner
CN1629556A (en) * 2003-12-19 2005-06-22 珠海福士得冷气工程有限公司 Energy-saving central air conditioning system
CN101206066A (en) * 2006-12-22 2008-06-25 同方人工环境有限公司 Method for regulating energy-saving run of central air conditioning system
CN101392939A (en) * 2008-11-18 2009-03-25 天津大学 Nonlinear prediction and control method for independence energy supply temperature of buildings
US20090217679A1 (en) * 2008-02-28 2009-09-03 Optidyn Inc. Refrigeration cooling system control

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3998267A (en) * 1975-05-16 1976-12-21 Canada Square Management Ltd. Temperature control system
CN2578712Y (en) * 2003-01-08 2003-10-08 北京科瑞易联节能科技发展有限公司 Central hot water supply pump frequency variable controller of central air conditioner
CN1629556A (en) * 2003-12-19 2005-06-22 珠海福士得冷气工程有限公司 Energy-saving central air conditioning system
CN101206066A (en) * 2006-12-22 2008-06-25 同方人工环境有限公司 Method for regulating energy-saving run of central air conditioning system
US20090217679A1 (en) * 2008-02-28 2009-09-03 Optidyn Inc. Refrigeration cooling system control
CN101392939A (en) * 2008-11-18 2009-03-25 天津大学 Nonlinear prediction and control method for independence energy supply temperature of buildings

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
徐今强等: "空调负荷预测模型及仿真研究", 《华中科技大学学报(自然科学版)》 *
深圳达实智能股份有限公司: "中山小榄医院中央空调节能案例", 《城市开发》 *

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102567814A (en) * 2012-01-31 2012-07-11 河南省电力公司南阳供电公司 Method for predicting and calculating cooling load of regional power grid
CN102567814B (en) * 2012-01-31 2015-10-28 国家电网公司 A kind of computing method of regional power grid temperature-lowering load prediction
CN102679496B (en) * 2012-05-14 2016-07-06 赖正伦 A kind of load follow-up control method for central air-conditioning
CN102679496A (en) * 2012-05-14 2012-09-19 赖正伦 Load follow-up control method for central air conditioner
CN106196415A (en) * 2014-08-15 2016-12-07 台达电子工业股份有限公司 Intelligent air conditioner control system and intelligent control method thereof
CN105387557A (en) * 2014-09-02 2016-03-09 三星电子株式会社 Method and device for controlling room temperature and humidity
CN104729024B (en) * 2015-04-08 2017-06-27 南京优助智能科技有限公司 Air-conditioning Load Prediction method based on average indoor temperature
CN104793594A (en) * 2015-04-08 2015-07-22 南京优助智能科技有限公司 Control command prediction method for power station group-control system
CN104793594B (en) * 2015-04-08 2017-05-17 南京优助智能科技有限公司 Control command prediction method for power station group-control system
CN104729024A (en) * 2015-04-08 2015-06-24 南京优助智能科技有限公司 Air conditioning load prediction method based on indoor average temperature
CN105571063A (en) * 2015-12-31 2016-05-11 深圳市同鑫热力技术有限公司 Shallow geothermal energy source management system and implementation method thereof
CN105571063B (en) * 2015-12-31 2018-08-24 深圳市同鑫热力技术有限公司 A kind of shallow layer ground-temperature energy energy management system and its implementation
CN110645679A (en) * 2019-10-10 2020-01-03 南京瑞松信息科技有限公司 Central air-conditioning energy-saving control system and method for subway station
CN110940061A (en) * 2019-12-17 2020-03-31 珠海格力电器股份有限公司 Central air conditioner control method and system
CN111089333A (en) * 2019-12-24 2020-05-01 珠海格力电器股份有限公司 Heating, ventilating and air conditioning system and control method, device, equipment and storage medium thereof
CN113108432B (en) * 2020-09-09 2022-04-15 中维通(北京)科技有限公司 Air conditioning system adjusting method and system based on weather forecast
CN113108432A (en) * 2020-09-09 2021-07-13 中维通(北京)科技有限公司 Air conditioning system adjusting method and system based on weather forecast
CN112350849A (en) * 2020-09-15 2021-02-09 国网浙江省电力有限公司湖州供电公司 Intelligent setting and updating system for power monitoring data threshold value
CN112350849B (en) * 2020-09-15 2022-07-29 国网浙江省电力有限公司湖州供电公司 Intelligent setting and updating system for power monitoring data threshold value
CN112379648A (en) * 2020-11-17 2021-02-19 青岛北冰洋冷暖能源科技有限公司 Control method for judging whether unit is increased or decreased in cold station control system
CN113865016A (en) * 2021-09-30 2021-12-31 珠海格力电器股份有限公司 Air conditioning system control method and device and air conditioning system
CN114543303A (en) * 2022-01-26 2022-05-27 深圳达实智能股份有限公司 Operation optimization method and system of central air-conditioning refrigeration station based on operation big data
CN115523644A (en) * 2022-11-04 2022-12-27 蘑菇物联技术(深圳)有限公司 Method, apparatus and storage medium for controlling host of air conditioning system

Also Published As

Publication number Publication date
CN102168877B (en) 2013-06-12

Similar Documents

Publication Publication Date Title
CN102168877B (en) Load prediction based group control method and device for central air-conditioning system
CN102968111B (en) Control the method and system of distributed energy resource system
US20080106146A1 (en) Management System for In-House Power Quantity Consumed
CN106225147B (en) Control method and device for air conditioner of fresh air system
CN103994545B (en) The control method of air-conditioner, intelligent terminal and air conditioner control system
CN109059195B (en) Control method and control system for central air conditioner for reducing load peak value of power grid
CN102778006B (en) Method and device for acquiring pressure parameter of multi-connected air-conditioning system
CN105222508A (en) Towards food self adaptation cold preserving method, the Apparatus and system of temperature-changing chamber
CN104896665A (en) Control method and device for air conditioner
US10808979B2 (en) Ice storage amount adjusting system and adjusting method for the same
CN109341010B (en) Energy supply integrated control method and device for air conditioning system of electric refrigerator
EP2960600A1 (en) System for managing lubricant levels in tandem compressor assemblies of an hvac system
CN202734158U (en) Energy-saving control system for ground source heat pump machine room
CN104896667A (en) Air conditioner and control method thereof
CN212720195U (en) Cooling water system control device based on system overall energy efficiency ratio COP is best
CN105096461B (en) It is a kind of to store the automatic saler system detached with refrigeration heating and control method
CN110940061A (en) Central air conditioner control method and system
CN110425691A (en) A kind of self-adaptive energy-saving control system of water cooled central air conditioner system
CN103743068B (en) A kind of air-condition cooling tower blower control method and system of optimizing based on efficiency
CN109612170A (en) A kind of low temperature environment heating system and application method realized using wide warm pump
CN105716205A (en) Cooling method and device applied to machine room
CN104296493A (en) Wide climatic zone energy-saving refrigerator
CN203719032U (en) Central air-conditioning cooling tower fan control system based on energy efficiency optimization
CN115081220A (en) Adjusting method and system for high-energy-efficiency central air-conditioning system
CN213630850U (en) Global optimal control system of refrigeration station

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant