CN107314477B - Intelligent distribution system for refrigerating capacity of central air conditioner - Google Patents
Intelligent distribution system for refrigerating capacity of central air conditioner Download PDFInfo
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- CN107314477B CN107314477B CN201710537684.2A CN201710537684A CN107314477B CN 107314477 B CN107314477 B CN 107314477B CN 201710537684 A CN201710537684 A CN 201710537684A CN 107314477 B CN107314477 B CN 107314477B
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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 an intelligent distribution system for the refrigerating capacity of a central air conditioner, and relates to the technical field of air conditioner heat exchange. The system comprises: the invention realizes that the central air conditioner can carry out comprehensive regulation and analysis according to the use requirements of users and by combining the indoor temperature and the outdoor temperature of the users through the cloud server, the temperature terminal, the indoor temperature data collector, the outdoor temperature data collector, the temperature sensor and the flow meter, and obtains the optimal solution s0(t) _ opt and Qi(t) _ opt to save air conditioning resources to the maximum extent possible while meeting the required temperature of each room.
Description
Technical Field
The invention relates to the technical field of air conditioner heat exchange, in particular to an intelligent distribution system for the refrigerating capacity of a central air conditioner.
Background
The cooling capacity distribution of the existing central air conditioner, i.e. the cooling capacity in a cooling state, is generally adjusted according to a temperature regulator arranged at the tail end of the air conditioner. However, the adjusting method has the problems of low adjusting precision and easy resource waste.
Therefore, a central intelligent air conditioner capable of comprehensively adjusting according to personal requirements of users and temperature and humidity parameters inside and outside a room is urgently needed, so that the energy-saving effect is realized to the maximum extent under the condition of meeting the requirements of the users.
Disclosure of Invention
The embodiment of the invention provides an intelligent distribution system for the refrigerating capacity of a central air conditioner, which is used for solving the problems of low adjustment precision and easy resource waste in the prior art.
The embodiment of the invention provides an intelligent distribution system for the refrigerating capacity of a central air conditioner, which comprises: the system comprises a central air conditioner host, at least one air conditioner tail end, a cloud server and an outdoor temperature data collector;
the central air-conditioning host comprises: first receiving module and control module, the air conditioner is terminal to include: the tail ends of the air conditioners are installed in a plurality of rooms in a one-to-one correspondence mode, and an indoor temperature data collector and a temperature control terminal are arranged in each room;
the central air-conditioning host is connected with a first refrigerant pipeline, the first refrigerant pipeline is connected with a plurality of second refrigerant pipelines, the plurality of second refrigerant pipelines are connected with the tail ends of the air conditioners in a one-to-one correspondence mode, each second refrigerant pipeline is provided with a flow meter and a proportional valve, and a temperature sensor is arranged in the first refrigerant pipeline;
the temperature sensor is used for acquiring the temperature in the first refrigerant pipeline;
the flowmeter is used for acquiring the refrigerant flow in the second refrigerant pipeline;
the outdoor temperature data collector is used for acquiring outdoor temperature;
the indoor temperature data collector is used for acquiring the indoor temperature of the room;
the temperature control terminal is used for setting the target temperature of the room to which the temperature control terminal belongs, and the target temperature is the temperature required by a user;
the second receiving module is used for receiving the indoor temperature and the target temperature of each room and transmitting the indoor temperature and the target temperature to the cloud server;
the first receiving module is used for receiving the temperature in the first refrigerant pipeline, the refrigerant flow in each second refrigerant pipeline and the outdoor temperature and transmitting the temperature to the cloud server;
the cloud server is used for carrying out comprehensive analysis according to the received indoor temperature and target temperature of each room, the received outdoor temperature, the received temperature in the first refrigerant pipeline and the received refrigerant flow in each second refrigerant pipeline according to the following formula (1) and formula (2);
in the formula, delta E (t) is total energy difference at the moment t, n is total number of rooms, c is specific heat capacity, rho is air density, and si(t) is the indoor temperature at time t of the ith room, siIs the target temperature of the ith room, s0(t) is the temperature at time t in the first refrigerant pipe, Qi(t) the refrigerant flow rate, v, transmitted from the central air-conditioning host to the second refrigerant pipeline at the time tiThe volume of air in the ith room;
wherein s in the formular(t) is the outdoor temperature at the moment t, and p (t) is the output power of the central air-conditioning host at the moment t;
the formula and the formula form a target equation set, and the constraint equation set of the target equation set is as follows:
solving s for minimizing delta E (t) and p (t) at t time according to Monte Carlo algorithm for target equation set and constraint equation set0(t) _ opt and Qi(t)_opt；
Wherein s is0(t) _ opt and Qi(t) opt is at time t such that Δ E (t) and p (t) are at a minimum s0(t) and Qi(t) value;
the cloud server sends a control instruction to the first receiving module, wherein the s is carried in the control instruction0(t) _ opt and Qi(t) _opt, the first receiving module sends the control instruction to the control module, and the control module carries the control instructionS is0(t) _ opt and Qi(t) _ opt regulates the proportional valve.
Preferably, the temperature control terminal communicates with the second receiving module by means of a wireless network.
Preferably, the air conditioning tip includes: and the display module displays the target temperature set by the temperature control terminal.
In the embodiment of the invention, the intelligent distribution system for the refrigerating capacity of the central air conditioner is provided, the system realizes that the central air conditioner can carry out comprehensive regulation and analysis according to the use requirements of users and by combining the indoor temperature and the outdoor temperature of the users through a cloud server, a temperature terminal, an indoor temperature data collector, an outdoor temperature data collector, a temperature sensor and a flowmeter, and an optimal solution s is obtained0(t) _ opt and Qi(t) _ opt to save air conditioning resources to the maximum extent possible while meeting the required temperature of each room.
Drawings
Fig. 1 is a block diagram of an intelligent distribution system for cooling capacity of a central air conditioner according to an embodiment of the present invention.
Description of the drawings:
1. a central air-conditioning host; 2. a second receiving module; 3. a display module; 4. a cloud server; 5. an air conditioner terminal; 6. a first receiving module; 7. a control module; 8. an indoor temperature data collector; 9. a temperature control terminal; 10. an outdoor temperature data collector; 11. a first refrigerant conduit; 12. a second refrigerant conduit; 13. a flow meter; 14. a proportional valve; 15. a temperature sensor.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a block diagram of an intelligent distribution system for cooling capacity of a central air conditioner according to an embodiment of the present invention. As shown in fig. 1, the system includes: the system comprises a central air conditioner host 1, at least one air conditioner terminal 5, a cloud server 4 and an outdoor temperature data collector 10.
Specifically, as shown in fig. 1, the central air-conditioning main unit 1 includes: a first receiving module 6 and a control module 7, the air conditioner terminal 5 comprising: the central air-conditioning host 1 is connected with a first refrigerant pipeline 11, the first refrigerant pipeline 11 is connected with a plurality of second refrigerant pipelines 12, the plurality of second refrigerant pipelines 12 are correspondingly connected with the plurality of air-conditioning terminals 5 one by one, each second refrigerant pipeline 12 is provided with a flowmeter 13 and a proportional valve 14, and the first refrigerant pipeline 11 is internally provided with a temperature sensor 15; an indoor temperature data collector 8 and a temperature control terminal 9 are arranged in each room; the temperature sensor 15 is used for acquiring the temperature in the first refrigerant pipeline 11, and the flow meter 13 is used for acquiring the refrigerant flow transmitted to the corresponding room by the central air-conditioning main unit 1 through the refrigerant pipeline 12.
Specifically, the temperature sensor 15 is configured to obtain a temperature in the first refrigerant pipeline 11; the flowmeter 13 is configured to obtain a refrigerant flow rate in the second refrigerant pipeline 12; the outdoor temperature data collector 10 is used for obtaining outdoor temperature; the indoor temperature data collector 8 is used for obtaining the indoor temperature of the room; the temperature control terminal 9 is used for setting a target temperature of a room to which the temperature control terminal belongs, wherein the target temperature is a temperature required by a user; the second receiving module 2 is used for receiving the indoor temperature and the target temperature of each room and transmitting the indoor temperature and the target temperature to the cloud server 4; the first receiving module 6 is configured to receive the temperature in the first refrigerant pipeline 11, the refrigerant flow rate in each second refrigerant pipeline 12, and the outdoor temperature, and transmit the temperature to the cloud server 4; the cloud server 4 is configured to perform comprehensive analysis according to the following formula (1) and formula (2) according to the received indoor temperature and target temperature of each room, the received outdoor temperature, the received temperature in the first refrigerant pipe 11, and the received refrigerant flow rate in each second refrigerant pipe 12.
Wherein in the formula (1), Δ e (t) is a total energy difference at time t, n is a total number of rooms, c is a specific heat capacity, ρ is an air density, si(t) is the indoor temperature at time t of the ith room, siIs the target temperature of the ith room, s0(t) is the temperature at time t in the first refrigerant pipe, Qi(t) the refrigerant flow rate, v, transmitted from the central air-conditioning host to the second refrigerant pipeline at the time tiThe volume of air in the ith room.
Wherein s in the formula (2)rAnd (t) is the outdoor temperature at the time t, and p (t) is the output power of the central air-conditioning host at the time t.
The formula (1) and the formula (2) form an objective equation set, and the constraint equation set of the objective equation set is:
solving s for minimizing delta E (t) and p (t) at t time according to Monte Carlo algorithm for target equation set and constraint equation set0(t) _ opt and Qi(t)_opt。
Wherein s is0(t) _ opt and Qi(t) opt is at time t such that Δ E (t) and p (t) are at a minimum s0(t) and Qi(t) value; that is, s0(t) _ opt and Qi(t) _ opt is called the optimal solution.
The cloud server 4 sends a control instruction to the first receiving module 6, and the s carried in the control instruction0(t) _ opt and Qi(t) _opt, the first receiving module 6 sends the control instruction to the control module 7, and the control module 7 sends the control instruction to the control module 7 according to the s carried in the control instruction0(t) _ opt and Qi(t) _ opt regulates the proportional valve 14.
Wherein the control module 7 controls the control module according to the s carried in the control instruction0(t) _ opt and Qi(t) _ opt regulates the proportional valve 14 so that the next moment in timeThe flow rate of each room reaches Qi(t) _ opt, and according to Qi(t) _ opt enables the output power of the central air-conditioning main unit to be optimized, so that air-conditioning resources are saved to the maximum extent on the premise that the required temperature of each room is met.
I.e. by using s0(t) _ opt and Qi(t) opt continuously adjusts the proportional valve 14 in such a way that Δ E (t) and p (t) tend to be a dynamic optimization, in practice, resulting in a more precise adjustment and an optimal use of energy.
The temperature control terminal 9 communicates with the second receiving module 2 in a wireless network manner.
In addition, the air conditioning terminal 5 includes: and the display module 3, the display module 3 displays the target temperature set by the temperature control terminal 9, so that the user can check and confirm whether the target temperature set by the temperature control terminal 9 received by the second receiving module 2 is correct.
In the embodiment of the invention, the intelligent distribution system for the refrigerating capacity of the central air conditioner is provided, the system realizes that the central air conditioner can carry out comprehensive regulation and analysis according to the use requirements of users and by combining the indoor temperature and the outdoor temperature of the users through a cloud server, a temperature terminal, an indoor temperature data collector, an outdoor temperature data collector, a temperature sensor and a flowmeter, and an optimal solution s is obtained0(t) _ opt and Qi(t) _ opt to save air conditioning resources to the maximum extent possible while meeting the required temperature of each room.
The above disclosure is only a few specific embodiments of the present invention, and those skilled in the art can make various modifications and variations of the present invention without departing from the spirit and scope of the present invention, and it is intended that the present invention encompass these modifications and variations as well as others within the scope of the appended claims and their equivalents.
Claims (3)
1. The utility model provides a central air conditioning refrigeration capacity intelligence distribution system which characterized in that includes: the system comprises a central air conditioner host (1), at least one air conditioner tail end (5), a cloud server (4) and an outdoor temperature data collector (10);
the central air-conditioning main unit (1) comprises: a first receiving module (6) and a control module (7), the air conditioning terminal (5) comprising: the air conditioner terminal units (5) are correspondingly arranged in a plurality of rooms one by one, and each room is internally provided with an indoor temperature data collector (8) and a temperature control terminal (9);
the central air-conditioning host (1) is connected with a first refrigerant pipeline (11), the first refrigerant pipeline (11) is connected with a plurality of second refrigerant pipelines (12), the plurality of second refrigerant pipelines (12) are connected with the plurality of air-conditioning terminals (5) in a one-to-one correspondence manner, each second refrigerant pipeline (12) is provided with a flowmeter (13) and a proportional valve (14), and a temperature sensor (15) is arranged in the first refrigerant pipeline (11);
the temperature sensor (15) is used for acquiring the temperature in the first refrigerant pipeline (11);
the flowmeter (13) is used for acquiring the refrigerant flow in the second refrigerant pipeline (12);
the outdoor temperature data collector (10) is used for obtaining outdoor temperature;
the indoor temperature data collector (8) is used for obtaining the indoor temperature of the room;
the temperature control terminal (9) is used for setting a target temperature of a room to which the temperature control terminal belongs, and the target temperature is a temperature required by a user;
the second receiving module (2) is used for receiving the indoor temperature and the target temperature of each room and transmitting the indoor temperature and the target temperature to the cloud server (4);
the first receiving module (6) is used for receiving the temperature in the first refrigerant pipeline (11), the refrigerant flow and the outdoor temperature in each second refrigerant pipeline (12) and transmitting the temperature to the cloud server (4);
the cloud server (4) is used for carrying out comprehensive analysis according to the received indoor temperature and target temperature of each room, the received outdoor temperature, the received temperature in the first refrigerant pipeline (11) and the received refrigerant flow in each second refrigerant pipeline (12) according to the following formula (1) and formula (2);
in the formula (1), Δ e (t) is total energy difference at time t, n is total number of rooms, c is specific heat capacity, ρ is air density, si(t) is the indoor temperature at time t of the ith room, siIs the target temperature of the ith room, s0(t) is the temperature at time t in the first refrigerant pipe, Qi(t) the refrigerant flow rate, v, transmitted from the central air-conditioning host to the second refrigerant pipeline at the time tiThe volume of air in the ith room;
wherein s in the formula (2)r(t) is the outdoor temperature at the moment t, and p (t) is the output power of the central air-conditioning host at the moment t;
the formula (1) and the formula (2) form an object equation set, and the constraint equation set of the object equation set is as follows:
solving s for minimizing delta E (t) and p (t) at t time according to Monte Carlo algorithm for target equation set and constraint equation set0(t) _ opt and Qi(t)_opt；
Wherein s is0(t) _ opt and Qi(t) opt is at time t such that Δ E (t) and p (t) are at a minimum s0(t) and Qi(t) value;
the cloud server (4) sends a control instruction to the first receiving module (6), wherein the s is carried in the control instruction0(t) _ opt and Qi(t) _opt, the first receiving module (6) sends the control instruction to the control module (7), and the control module (7) carries the control instruction according to the s0(t) _ opt and Qi(t) _ opt regulates the proportional valve (14).
2. The intelligent distribution system of the cooling capacity of the central air conditioner as claimed in claim 1, wherein the temperature control terminal (9) communicates with the second receiving module (2) in a wireless network mode.
3. Intelligent central air-conditioning refrigeration capacity distribution system according to claim 1, characterized in that said air-conditioning terminal (5) comprises: the display module (3) displays the target temperature set by the temperature control terminal (9).
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| CN201710537684.2A CN107314477B (en) | 2017-07-04 | 2017-07-04 | Intelligent distribution system for refrigerating capacity of central air conditioner |
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| CN111505944B (en) * | 2019-01-30 | 2021-06-11 | 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 |
| 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 |
Citations (3)
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|---|---|---|---|---|
| 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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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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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