CN107314477A - A kind of central air-conditioning refrigerating capacity intelligent dispensing system - Google Patents
A kind of central air-conditioning refrigerating capacity intelligent dispensing system Download PDFInfo
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- CN107314477A CN107314477A CN201710537684.2A CN201710537684A CN107314477A CN 107314477 A CN107314477 A CN 107314477A CN 201710537684 A CN201710537684 A CN 201710537684A CN 107314477 A CN107314477 A CN 107314477A
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- temperature
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- refrigerant pipe
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F3/00—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems
- F24F3/06—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the arrangements for the supply of heat-exchange fluid for the subsequent treatment of primary air in the room units
- F24F3/065—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the arrangements for the supply of heat-exchange fluid for the subsequent treatment of primary air in the room units with a plurality of evaporators or condensers
Abstract
The invention discloses a kind of central air-conditioning refrigerating capacity intelligent dispensing system, it is related to air-conditioning technical field of heat exchange.The system includes：Central air conditioner main machine, at least one air conditioning terminal, Cloud Server and outdoor temperature data collector, the present invention realizes that central air-conditioning can need according to the use of user and combine user indoor temperature and outdoor temperature to carry out comprehensive adjustment analysis, the optimal solution s drawn by Cloud Server, temperature terminal, indoor temperature data acquisition unit, outdoor temperature data collector, temperature sensor and flowmeter0(t) _ opt and Qi(t) _ opt is most to save air-conditioning resource to greatest extent so as on the premise of each room demand temperature is met.
Description
Technical field
The present invention relates to air-conditioning technical field of heat exchange, a kind of central air-conditioning refrigerating capacity smart allocation system is more particularly related to
System.
Background technology
Existing central air-conditioning refrigerating capacity distribution, i.e. refrigerating capacity under refrigerating state, are usually last according to air-conditioning is arranged on
The thermoregulator at end is adjusted.But this kind of regulative mode has that degree of regulation is not high, asking for the wasting of resources is easily caused
Topic.
Therefore, comprehensive adjustment can be carried out according to humiture parameter inside and outside individual subscriber demand and room by being now badly in need of one kind
Central intelligent air condition, so as to which in the case where meeting user's request, energy-saving effect is realized to greatest extent.
The content of the invention
The embodiment of the present invention provides a kind of central air-conditioning refrigerating capacity intelligent dispensing system, to solve to adjust in the prior art
Precision is not high, the problem of easily causing the wasting of resources.
The embodiment of the present invention provides a kind of central air-conditioning refrigerating capacity intelligent dispensing system, including：Central air conditioner main machine, at least
One air conditioning terminal, Cloud Server and outdoor temperature data collector；
The central air conditioner main machine includes：First receiving module and control module, the air conditioning terminal include：Second receives
Module, multiple air conditioning terminals, which are corresponded, to be arranged in multiple rooms, and indoor temperature data are provided with each room
Collector and temperature control terminal；
The central air conditioner main machine connects the first refrigerant pipe, and first refrigerant pipe connects with multiple second refrigerant pipes
Connect, multiple second refrigerant pipes connect one to one with multiple air conditioning terminals, and each second refrigerant pipe
On be provided with flowmeter and proportioning valve, first refrigerant pipe and be provided with temperature sensor；
The temperature sensor, for obtaining the temperature in the first refrigerant pipe；
The flowmeter, for obtaining the cold medium flux in the second refrigerant pipe；
The outdoor temperature data collector, for obtaining outdoor temperature；
The indoor temperature data acquisition unit, the indoor temperature for obtaining affiliated room；
The temperature control terminal, the target temperature for setting affiliated room, the target temperature is the temperature of user's request；
Second receiving module, for receiving the indoor temperature and target temperature in each room, and is sent to cloud service
Device；
First receiving module, it is cold in the temperature in the first refrigerant pipe, each second refrigerant pipe for receiving
Matchmaker's flow and outdoor temperature, and it is sent to Cloud Server；
The Cloud Server, for according to receiving the indoor temperature and target temperature in each room, outdoor temperature, first
The cold medium flux in temperature and each second refrigerant pipe in refrigerant pipe carries out comprehensive according to equation below (1) and formula (2)
Close analysis；
Wherein, in the formula, Δ E (t) is that t gross energy is poor, and n is the total number in room, and c is specific heat capacity, and ρ is sky
Air tightness, si(t) it is the indoor temperature of i-th of room t, siFor the target temperature in i-th of room, s0(t) it is the first refrigerant
The temperature of t, Q in pipelinei(t) cold medium flux conveyed for t central air conditioner main machine to the second refrigerant pipe, viI-th
Volume of air in room；
Wherein, s in the formular(t) it is the outdoor temperature of t, p (t) is t central air conditioner main machine output work
Rate；
The formula and formula constitute a target equation group, and the Constrained equations of the target equation group are:
According to Meng Teka writing algorithm to target equation group and Constrained equations and obtaining t makes Δ E (t) and p (t) minimum
s0(t) _ opt and Qi(t)_opt；
Wherein, s0(t) _ opt and Qi(t) _ opt is that t causes the minimum s of Δ E (t) and p (t)0And Q (t)i(t)
Value；
The Cloud Server sends the s carried in control instruction, the control instruction to first receiving module0
(t) _ opt and Qi(t) _ opt, first receiving module sends the control instruction to control module, control module according to
The s carried in control instruction0(t) _ opt and Qi(t) _ opt regulation proportioning valves.
Preferably, temperature control terminal is communicated by way of wireless network with the second receiving module.
Preferably, the air conditioning terminal includes：Display module, the display module shows the mesh that the temperature control terminal is set
Mark temperature.
There is provided a kind of central air-conditioning refrigerating capacity intelligent dispensing system in the embodiment of the present invention, the system by Cloud Server,
Temperature terminal, indoor temperature data acquisition unit, outdoor temperature data collector, temperature sensor and flowmeter realize center
Air-conditioning can need according to the use of user and combine user indoor temperature and outdoor temperature to carry out comprehensive adjustment analysis, draw
Optimal solution s0(t) _ opt and Qi(t) _ opt is so as on the premise of each room demand temperature is met, to the greatest extent to greatest extent
Save air-conditioning resource.
Brief description of the drawings
Fig. 1 is a kind of block diagram of central air-conditioning refrigerating capacity intelligent dispensing system provided in an embodiment of the present invention.
Brief description of the drawings：
1st, central air conditioner main machine；2nd, the second receiving module；3rd, display module；4th, Cloud Server；5th, air conditioning terminal；6th, first
Receiving module；7th, control module；8th, indoor temperature data acquisition unit；9th, temperature control terminal；10th, outdoor temperature data collector；11、
First refrigerant pipe；12nd, the second refrigerant pipe；13rd, flowmeter；14th, proportioning valve；15th, temperature sensor.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
Fig. 1 is a kind of block diagram of central air-conditioning refrigerating capacity intelligent dispensing system provided in an embodiment of the present invention.Such as Fig. 1 institutes
Show, the system includes：Central air conditioner main machine 1, at least one air conditioning terminal 5, Cloud Server 4 and outdoor temperature data collector
10。
Specifically, as shown in figure 1, the central air conditioner main machine 1 includes：First receiving module 6 and control module 7, the air-conditioning
End 5 includes：One air conditioning terminal 5, the central air conditioner main machine 1 connection first are installed in second receiving module 2, each room
Refrigerant pipe 11, first refrigerant pipe 11 is connected with multiple second refrigerant pipes 12, multiple second refrigerant pipes 12 with it is multiple
Air conditioning terminal 5 connects one to one, and is provided with flowmeter 13 and proportioning valve 14 on each second refrigerant pipe 12, and this first
Temperature sensor 15 is provided with refrigerant pipe 11；Indoor temperature data acquisition unit 8 and temperature are provided with each room
Control terminal 9；The temperature sensor 15 is used to gather the temperature in the first refrigerant pipe 11, and the flowmeter 13 is used to gather the center
Air-conditioner host 1 is conveyed to the cold medium flux in the corresponding room by affiliated refrigerant pipe 12.
Specifically, temperature sensor 15, for obtaining the temperature in the first refrigerant pipe 11；The flowmeter 13, is used for
Obtain the cold medium flux in the second refrigerant pipe 12；The outdoor temperature data collector 10, for obtaining outdoor temperature；The interior
Temperature data acquisition device 8, the indoor temperature for obtaining affiliated room；The temperature control terminal 9, the target for setting affiliated room
Temperature, the target temperature is the temperature of user's request；Second receiving module 2, for receive each room indoor temperature and
Target temperature, and it is sent to Cloud Server 4；First receiving module 6, for the temperature in the first refrigerant pipe 11 of reception, often
Cold medium flux and outdoor temperature in individual second refrigerant pipe 12, and it is sent to Cloud Server 4；The Cloud Server 4, for basis
Receive the indoor temperature and target temperature, outdoor temperature, the temperature in the first refrigerant pipe 11 and each second in each room
Cold medium flux in refrigerant pipe 12 carries out comprehensive analysis according to equation below (1) and formula (2).
Wherein, in the formula (1), Δ E (t) is that t gross energy is poor, and n is the total number in room, and c is specific heat capacity, and ρ is
Atmospheric density, si(t) it is the indoor temperature of i-th of room t, siFor the target temperature in i-th of room, s0(t) it is cold for first
The temperature of t, Q in matchmaker's pipelinei(t) cold medium flux conveyed for t central air conditioner main machine to the second refrigerant pipe, viI-th
Volume of air in individual room.
Wherein, s in the formula (2)r(t) it is the outdoor temperature of t, p (t) is t central air conditioner main machine output work
Rate.
The formula (1) and formula (2) constitute a target equation group, and the Constrained equations of the target equation group are:
According to Meng Teka writing algorithm to target equation group and Constrained equations and obtaining t makes Δ E (t) and p (t) minimum
s0(t) _ opt and Qi(t)_opt。
Wherein, s0(t) _ opt and Qi(t) _ opt is that t causes the minimum s of Δ E (t) and p (t)0And Q (t)i(t)
Value；That is, s0(t) _ opt and Qi(t) _ opt is called optimal solution.
The Cloud Server 4 sends the s carried in control instruction, the control instruction to first receiving module 60(t)_
Opt and Qi(t) _ opt, first receiving module 6 sends the control instruction to control module 7, and control module 7 refers to according to control
The s carried in order0(t) _ opt and Qi(t) _ opt regulation proportioning valves 14.
Wherein, control module 7 is according to the s carried in control instruction0(t) _ opt and Qi(t) _ opt regulation proportioning valves 14,
So that the flow in each room of subsequent time reaches Qi(t) _ opt, and according to Qi(t) _ opt causes the defeated of central air conditioner main machine
Go out power and obtain optimal, on the premise of each room demand temperature is met, to save air-conditioning resource to greatest extent to the greatest extent.
Namely utilize s0(t) _ opt and Qi(t) mode of _ opt constantly regulates proportioning valve 14 so that Δ E (t) and p (t) become
Dynamically optimized in one, in actual applications so that higher and the energy the optimal utilization of the precision of regulation.
Wherein, temperature control terminal 9 is communicated by way of wireless network with the second receiving module 2.
In addition, the air conditioning terminal 5 includes：Display module 3, the display module 3 shows the target temperature that the temperature control terminal 9 is set
Degree, so that user can be checked and confirmed whether is target temperature that the temperature control terminal 9 that the second receiving module 2 received sets
Correctly.
There is provided a kind of central air-conditioning refrigerating capacity intelligent dispensing system in the embodiment of the present invention, the system by Cloud Server,
Temperature terminal, indoor temperature data acquisition unit, outdoor temperature data collector, temperature sensor and flowmeter realize center
Air-conditioning can need according to the use of user and combine user indoor temperature and outdoor temperature to carry out comprehensive adjustment analysis, draw
Optimal solution s0(t) _ opt and Qi(t) _ opt is so as on the premise of each room demand temperature is met, to the greatest extent to greatest extent
Save air-conditioning resource.
Disclosed above is only several specific embodiments of the present invention, and those skilled in the art can be to present invention progress
It is various to change with modification without departing from the spirit and scope of the present invention, if these modifications and variations of the present invention belong to the present invention
Within the scope of claim and its equivalent technologies, then the present invention is also intended to comprising including these changes and modification.
Claims (3)
1. a kind of central air-conditioning refrigerating capacity intelligent dispensing system, it is characterised in that including：Central air conditioner main machine (1), at least one
Air conditioning terminal (5), Cloud Server (4) and outdoor temperature data collector (10)；
The central air conditioner main machine (1) includes：First receiving module (6) and control module (7), the air conditioning terminal (5) include：
Second receiving module (2), multiple air conditioning terminals (5), which correspond, to be arranged in multiple rooms, is respectively provided with each room
There are indoor temperature data acquisition device (8) and temperature control terminal (9)；
The central air conditioner main machine (1) connects the first refrigerant pipe (11), first refrigerant pipe (11) and multiple second cold
Matchmaker's pipeline (12) is connected, and multiple second refrigerant pipes (12) connect one to one with multiple air conditioning terminals (5), and often
It is provided with flowmeter (13) and proportioning valve (14), first refrigerant pipe (11) and sets on individual second refrigerant pipe (12)
It is equipped with temperature sensor (15)；
The temperature sensor (15), for obtaining the temperature in the first refrigerant pipe (11)；
The flowmeter (13), for obtaining the cold medium flux in the second refrigerant pipe (12)；
The outdoor temperature data collector (10), for obtaining outdoor temperature；
The indoor temperature data acquisition unit (8), the indoor temperature for obtaining affiliated room；
The temperature control terminal (9), the target temperature for setting affiliated room, the target temperature is the temperature of user's request；
Second receiving module (2), for receiving the indoor temperature and target temperature in each room, and is sent to Cloud Server
(4)；
First receiving module (6), for receiving the temperature in the first refrigerant pipe (11), each second refrigerant pipe (12)
In cold medium flux and outdoor temperature, and be sent to Cloud Server (4)；
The Cloud Server (4), for according to receiving the indoor temperature and target temperature in each room, outdoor temperature, first
The cold medium flux in temperature and each second refrigerant pipe (12) in refrigerant pipe (11) is according to equation below (1) and formula
(2) comprehensive analysis is carried out；
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Wherein, in the formula (1), Δ E (t) is that t gross energy is poor, and n is the total number in room, and c is specific heat capacity, and ρ is sky
Air tightness, si(t) it is the indoor temperature of i-th of room t, siFor the target temperature in i-th of room, s0(t) it is the first refrigerant
The temperature of t, Q in pipelinei(t) cold medium flux conveyed for t central air conditioner main machine to the second refrigerant pipe, viI-th
Volume of air in room；
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Wherein, s in the formula (2)r(t) it is the outdoor temperature of t, p (t) is t central air conditioner main machine power output；
The formula (1) and formula (2) constitute a target equation group, and the Constrained equations of the target equation group are:
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According to Meng Teka writing algorithm to target equation group and Constrained equations and obtaining t makes the minimum s of Δ E (t) and p (t)0
(t) _ opt and Qi(t)_opt；
Wherein, s0(t) _ opt and Qi(t) _ opt is that t causes the minimum s of Δ E (t) and p (t)0And Q (t)i(t) value；
The Cloud Server (4) sends control instruction to first receiving module (6), and what is carried in the control instruction is described
s0(t) _ opt and Qi(t) _ opt, first receiving module (6) sends the control instruction to control module (7), controls mould
Block (7) is according to the s carried in control instruction0(t) _ opt and Qi(t) _ opt regulation proportioning valves (14).
2. central air-conditioning refrigerating capacity intelligent dispensing system according to claim 1, it is characterised in that temperature control terminal (9) is led to
The mode for crossing wireless network is communicated with the second receiving module (2).
3. central air-conditioning refrigerating capacity intelligent dispensing system according to claim 1, it is characterised in that the air conditioning terminal
(5) include：Display module (3), the display module (3) shows the target temperature that the temperature control terminal (9) is set.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710537684.2A CN107314477B (en) | 2017-07-04 | 2017-07-04 | Intelligent distribution system for refrigerating capacity of central air conditioner |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710537684.2A CN107314477B (en) | 2017-07-04 | 2017-07-04 | Intelligent distribution system for refrigerating capacity of central air conditioner |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107314477A true CN107314477A (en) | 2017-11-03 |
| CN107314477B CN107314477B (en) | 2020-01-03 |
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ID=60180493
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| Application Number | Title | Priority Date | Filing Date |
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| CN201710537684.2A Expired - Fee Related CN107314477B (en) | 2017-07-04 | 2017-07-04 | Intelligent distribution system for refrigerating capacity of central air conditioner |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111505944A (en) * | 2019-01-30 | 2020-08-07 | 珠海格力电器股份有限公司 | Energy-saving control strategy learning method, and method and device for realizing air conditioning energy control |
| CN112066520A (en) * | 2020-09-17 | 2020-12-11 | 无锡职业技术学院 | Intelligent building air conditioner charging and intelligent management and control system |
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| US20140019091A1 (en) * | 2012-07-12 | 2014-01-16 | General Electric Company | Methods and systems for maintenance of turbomachinery |
| CN104214912A (en) * | 2014-09-24 | 2014-12-17 | 东南大学 | Aggregation air conditioning load scheduling method based on temperature set value adjustment |
| CN104566785A (en) * | 2014-12-15 | 2015-04-29 | 郑州轻工业学院 | Intelligent distribution method and intelligent distribution system for refrigerating capacity of central air conditioner |
| CN106907828A (en) * | 2017-02-21 | 2017-06-30 | 国网山东省电力公司电力科学研究院 | A kind of dispersion modulator approach of air conditioner load group response frequency |
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2017
- 2017-07-04 CN CN201710537684.2A patent/CN107314477B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140019091A1 (en) * | 2012-07-12 | 2014-01-16 | General Electric Company | Methods and systems for maintenance of turbomachinery |
| CN104214912A (en) * | 2014-09-24 | 2014-12-17 | 东南大学 | Aggregation air conditioning load scheduling method based on temperature set value adjustment |
| CN104566785A (en) * | 2014-12-15 | 2015-04-29 | 郑州轻工业学院 | Intelligent distribution method and intelligent distribution system for refrigerating capacity of central air conditioner |
| CN106907828A (en) * | 2017-02-21 | 2017-06-30 | 国网山东省电力公司电力科学研究院 | A kind of dispersion modulator approach of air conditioner load group response frequency |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111505944A (en) * | 2019-01-30 | 2020-08-07 | 珠海格力电器股份有限公司 | Energy-saving control strategy learning method, and method and device for realizing air conditioning energy control |
| CN112066520A (en) * | 2020-09-17 | 2020-12-11 | 无锡职业技术学院 | Intelligent building air conditioner charging and intelligent management and control system |
| CN112066520B (en) * | 2020-09-17 | 2022-02-22 | 无锡职业技术学院 | Intelligent building air conditioner charging and intelligent management and control system |
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|---|---|
| CN107314477B (en) | 2020-01-03 |
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