CN111397036B - Air supply system, air supply temperature setting method, air supply temperature setting device, storage medium and processor - Google Patents
Air supply system, air supply temperature setting method, air supply temperature setting device, storage medium and processor Download PDFInfo
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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
- F24F5/00—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
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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
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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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
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
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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
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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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
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
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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
- F24F13/00—Details common to, or for air-conditioning, air-humidification, ventilation or use of air currents for screening
- F24F13/02—Ducting arrangements
- F24F13/04—Air-mixing units
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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
- F24F13/00—Details common to, or for air-conditioning, air-humidification, ventilation or use of air currents for screening
- F24F13/30—Arrangement or mounting of heat-exchangers
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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
- F24F7/00—Ventilation
- F24F7/007—Ventilation with forced flow
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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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
- F24F2140/00—Control inputs relating to system states
- F24F2140/60—Energy consumption
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Abstract
The invention discloses an air supply system, an air supply temperature setting method, an air supply temperature setting device, a storage medium and a processor. Wherein, this air supply system includes: the fan is used for controlling the air supply quantity based on the preset air supply temperature; the heat exchange equipment is used for adjusting the mixed air temperature based on the preset air supply temperature, and the mixed air temperature is the temperature of mixed air obtained after indoor return air and fresh air are mixed; the tail end reheating device is used for heating mixed air at a preset air supply temperature based on a tail end set temperature; the control equipment is used for acquiring an energy consumption model and an energy consumption economic model which can represent the fan, the heat exchange equipment and the tail end reheating equipment, and then carrying out optimization solution on the energy consumption economic model based on a particle swarm algorithm to obtain an optimal temperature value of a preset air supply temperature; and the particle swarm algorithm simulates the set temperature of the tail end of at least one tail end reheating device through a particle swarm. The technical problem that the energy consumption of the balanced variable air volume air conditioning system can not be reduced under the condition of meeting the load requirements of all rooms is solved.
Description
Technical Field
The invention relates to the field of control, in particular to an air supply system, an air supply temperature setting method, an air supply temperature setting device, a storage medium and a processor.
Background
At present, in the actual engineering of the VAV of the variable air volume air conditioning system, the most widely applied conventional control method is as follows: a fixed supply air temperature is set and then room comfort is ensured by varying the supply air volume. For example, in the process of temperature-adjusting a plurality of rooms using the variable air volume air conditioning system, the variable air volume air conditioning system may control the supply air temperature at a fixed value on the supply air side common to the plurality of rooms, and may supply different amounts of supply air to the respective rooms in accordance with the temperatures set in the respective rooms.
However, since the set temperature of each room may be different, the use of a fixed supply air temperature may not ensure thermal comfort in each room. For example, when the actual heat load is significantly lower than the design heat load, the amount of delivered air will be significantly reduced and the room airflow pattern will be degraded; when the actual heat load is higher than the design heat load, the fixed and excessively low air supply temperature may cause the tail end air valve of the VAV of the variable air volume air conditioning system to be fully opened, and the comfort of a room cannot be guaranteed.
In order to reduce energy consumption and ensure room comfort, the VAV of the variable air volume air conditioning system can reset the air supply temperature according to the room load during operation. However, the air supply temperature is the same as the static pressure of the fan, which is a very complicated problem, and the air supply temperature and the static pressure of the fan are mutually influenced, if the air supply temperature is set to be higher, the energy consumption of the fan is increased, and conversely, if the air supply temperature is set to be lower, the energy consumption of the refrigerating unit and the reheating at the tail end is increased, so that the lowest energy consumption of the variable air volume air conditioning system can not be realized under the condition of meeting the load requirements of various rooms.
Aiming at the problem that the energy consumption of the balanced variable air volume air conditioning system can not be reduced under the condition of meeting the load requirements of each room, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides an air supply system, an air supply temperature setting method, an air supply temperature setting device, a storage medium and a processor, and at least solves the technical problem that the energy consumption of a balanced variable air volume air conditioning system cannot be reduced under the condition of meeting the load requirements of various rooms.
According to an aspect of an embodiment of the present invention, there is provided an air supply system including: the fan is used for controlling the air supply quantity based on the preset air supply temperature; the heat exchange equipment is used for adjusting the air mixing temperature based on the preset air supply temperature, wherein the air mixing temperature is the temperature of mixed air obtained after indoor return air and fresh air are mixed; at least one terminal reheating device for heating the mixed air at the preset air supply temperature based on a terminal set temperature; the control equipment is connected with the fan, the heat exchange equipment and the tail end reheating equipment and is used for acquiring an energy consumption model capable of representing energy consumption corresponding to the fan, the heat exchange equipment and the tail end reheating equipment based on different preset air supply temperatures, determining an energy consumption economic model of the air supply system based on the energy consumption model, performing optimization solution on the energy consumption economic model based on a particle swarm algorithm to obtain an optimal solution of the preset air supply temperature, and setting a temperature value of the preset air supply temperature based on the optimal solution; the energy consumption economic model is used for representing economic values required to be consumed by the air supply system under different preset air supply temperatures, and the particle swarm algorithm simulates the set temperature of the tail end of at least one tail end reheating device through particle swarm.
Optionally, determining an economic model of energy consumption of the fan, the heat exchange device, and the terminal reheating device as a whole based on the preset supply air temperature includes: identifying energy consumption types of the fan, the heat exchange device, and the end reheating device, wherein the energy consumption types include: electric energy consumption and heat energy consumption; acquiring the electric energy economic value of the electric energy consumption and the heat energy economic value of the heat energy consumption; and determining the energy consumption economic model based on the energy consumption models of the electric energy economic value and the electric energy consumption and the energy consumption models of the heat energy economic value and the heat energy consumption.
Optionally, identifying the type of energy consumption of the fan, the heat exchange device, and the end reheating device comprises: detecting an initial temperature of the mixed wind; determining energy consumption types of the fan, the heat exchange equipment and the terminal reheating equipment based on the difference between the initial temperature of the mixed air and the preset air supply temperature; under the condition that the initial temperature is higher than the preset air supply temperature, determining that the fan and the heat exchange equipment use the electric energy consumption, and determining that the tail end reheating equipment uses the heat energy consumption; and under the condition that the initial temperature is lower than the preset air supply temperature, determining that the fan uses the electric energy consumption, and determining that the heat exchange equipment and the tail end reheating equipment use the heat energy consumption.
Optionally, the heat exchange apparatus comprises: the refrigerating equipment is used for adjusting the mixed air temperature based on the electric energy consumption; and the heating equipment is used for adjusting the air mixing temperature based on the heat energy consumption.
Optionally, the end reheating device is configured to adjust the mixed wind temperature based on the thermal energy consumption.
According to another aspect of the embodiments of the present invention, there is also provided a method for setting a temperature of an air supply, including: acquiring an energy consumption model of each device in an air supply system, wherein the air supply system at least comprises a fan, a heat exchange device and at least one tail end reheating device, and the fan is used for controlling the air supply volume based on a preset air supply temperature; the heat exchange equipment is used for adjusting the air mixing temperature based on the preset air supply temperature, and the air mixing temperature is the temperature of mixed air obtained after indoor return air and fresh air are mixed; the tail end reheating equipment is used for heating the mixed air at the preset air supply temperature based on a tail end set temperature; the energy consumption model is used for representing energy consumption corresponding to the fan, the heat exchange equipment and the tail end reheating equipment based on different preset air supply temperatures; determining an energy consumption economic model of the air supply system based on the energy consumption model, wherein the energy consumption economic model is used for representing economic values required to be consumed by the air supply system at different preset air supply temperatures; performing optimization solution on the energy consumption economic model based on a particle swarm algorithm to obtain an optimal solution of the preset air supply temperature, wherein the particle swarm algorithm simulates the tail end set temperature of at least one tail end reheating device through a particle swarm; and setting the temperature value of the preset air supply temperature based on the optimal solution.
Optionally, determining an energy consumption economic model of the air supply system based on the energy consumption model comprises: identifying energy consumption types of the fan, the heat exchange device, and the end reheating device, wherein the energy consumption types include: electric energy consumption and heat energy consumption; acquiring the electric energy economic value of the electric energy consumption and the heat energy economic value of the heat energy consumption; and determining the energy consumption economic model based on the energy consumption models of the electric energy economic value and the electric energy consumption and the energy consumption models of the heat energy economic value and the heat energy consumption.
According to another aspect of the embodiments of the present invention, there is also provided an air supply temperature setting apparatus including: the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring an energy consumption model of each device in an air supply system, the air supply system at least comprises a fan, a heat exchange device and at least one tail end reheating device, and the fan is used for controlling the air supply amount based on preset air supply temperature; the heat exchange equipment is used for adjusting the air mixing temperature based on the preset air supply temperature, and the air mixing temperature is the temperature of mixed air obtained after indoor return air and fresh air are mixed; the tail end reheating equipment is used for heating the mixed air at the preset air supply temperature based on a tail end set temperature; the energy consumption model is used for representing energy consumption corresponding to the fan, the heat exchange equipment and the tail end reheating equipment based on different preset air supply temperatures; the determining unit is used for determining an energy consumption economic model of the air supply system based on the energy consumption model, wherein the energy consumption economic model is used for representing the economic value required to be consumed by the air supply system at different preset air supply temperatures; the optimization unit is used for carrying out optimization solution on the energy consumption economic model based on a particle swarm algorithm to obtain an optimal solution of the preset air supply temperature, wherein the particle swarm algorithm simulates the tail end set temperature of at least one tail end reheating device through the particle swarm; and the setting unit is used for setting the temperature value of the preset air supply temperature based on the optimal solution.
According to another aspect of the embodiment of the present invention, there is also provided a storage medium, the storage medium includes a stored program, wherein when the program runs, the apparatus on which the storage medium is located is controlled to execute the method of the device for setting air supply temperature.
According to another aspect of the embodiment of the present invention, there is also provided a processor for executing a program, wherein the program executes the method of the device for setting the temperature of the supplied air.
In the embodiment of the invention, the fan is used for controlling the air supply quantity based on the preset air supply temperature; the heat exchange equipment is used for adjusting the air mixing temperature based on the preset air supply temperature, wherein the air mixing temperature is the temperature of mixed air obtained after indoor return air and fresh air are mixed; the tail end reheating device is used for heating mixed air at a preset air supply temperature based on a tail end set temperature; the method comprises the steps that energy consumption models capable of representing energy consumption corresponding to different preset air supply temperatures of a fan, heat exchange equipment and tail end reheating equipment are obtained by control equipment, an energy consumption economic model of an air supply system is determined based on the energy consumption models, then the energy consumption economic model is optimized and solved based on a particle swarm algorithm, an optimal solution of the preset air supply temperatures is obtained, and temperature values of the preset air supply temperatures are set based on the optimal solution; the particle swarm optimization simulates the set temperature at the tail end of at least one tail end reheating device through particle swarm, so that the preset air supply temperature in the air supply system can meet the room load requirements of a plurality of tail end reheating devices, the technical effects of balancing the preset air supply temperature and the energy consumption of an air conditioning system under the condition of meeting the room load requirements are achieved, and the technical problem that the energy consumption of the balanced variable air volume air conditioning system can not be reduced under the condition of meeting the room load requirements is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic view of an air supply system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a fan control logic according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a particle swarm algorithm according to an embodiment of the invention;
FIG. 4 is a flow chart of a supply air temperature setting method according to an embodiment of the invention;
fig. 5 is a schematic diagram of an apparatus for setting a temperature of an air supply according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a schematic view of an air supply system according to an embodiment of the present invention, as shown in fig. 1, the system including: a fan 12 for controlling an air supply amount based on a preset air supply temperature; the heat exchange equipment 14 is used for adjusting the air mixing temperature based on the preset air supply temperature, wherein the air mixing temperature is the temperature of mixed air obtained after indoor return air and fresh air are mixed; at least one terminal reheating device 16 for heating the mixed air of a preset air supply temperature based on a terminal set temperature; the control device 18 is connected with the fan, the heat exchange device and the tail end reheating device, and is used for acquiring an energy consumption model capable of representing energy consumption corresponding to the fan, the heat exchange device and the tail end reheating device based on different preset air supply temperatures, determining an energy consumption economic model of an air supply system based on the energy consumption model, performing optimization solution on the energy consumption economic model based on a particle swarm algorithm to obtain an optimal solution of the preset air supply temperature, and setting a temperature value of the preset air supply temperature based on the optimal solution; the energy consumption economic model is used for representing economic values required to be consumed by the air supply system at different preset air supply temperatures, and the particle swarm algorithm simulates the tail end set temperature of at least one tail end reheating device through particle swarm.
In the embodiment of the invention, the fan is used for controlling the air supply quantity based on the preset air supply temperature; the heat exchange equipment is used for adjusting the air mixing temperature based on the preset air supply temperature, wherein the air mixing temperature is the temperature of mixed air obtained after indoor return air and fresh air are mixed; the tail end reheating device is used for heating mixed air at a preset air supply temperature based on a tail end set temperature; the method comprises the steps that energy consumption models capable of representing energy consumption corresponding to different preset air supply temperatures of a fan, heat exchange equipment and tail end reheating equipment are obtained by control equipment, an energy consumption economic model of an air supply system is determined based on the energy consumption models, then the energy consumption economic model is optimized and solved based on a particle swarm algorithm, an optimal solution of the preset air supply temperatures is obtained, and temperature values of the preset air supply temperatures are set based on the optimal solution; the particle swarm optimization simulates the set temperature at the tail end of at least one tail end reheating device through particle swarm, so that the preset air supply temperature in the air supply system can meet the room load requirements of a plurality of tail end reheating devices, the technical effects of balancing the preset air supply temperature and the energy consumption of an air conditioning system under the condition of meeting the room load requirements are achieved, and the technical problem that the energy consumption of the balanced variable air volume air conditioning system can not be reduced under the condition of meeting the room load requirements is solved.
Alternatively, the air supply system shown in fig. 1 may be a variable air volume air conditioning system, and the air handling unit in the variable air volume air conditioning system is configured to mix the indoor return air and the fresh air to generate mixed air, and adjust the temperature of the mixed air under the action of the heat exchange device, so that the temperature of the mixed air can reach the preset air supply temperature.
As an alternative embodiment, the heat exchange device comprises: the refrigeration equipment is used for adjusting the mixed air temperature based on the electric energy consumption; and the heating equipment is used for adjusting the mixed air temperature based on the heat energy consumption.
It should be noted that, at the end of the air supply system (i.e., variable air volume air conditioning system), the temperature in the room may be adjusted based on the mixed air at the preset supply air temperature. For example, the end of the air supply system (i.e., variable air volume air conditioning system) can control the temperature in the room by adjusting the amount of air supplied to each room; and under the condition that the preset air supply temperature is lower, the mixed air provided by the air supply system (namely the variable air volume air conditioning system) can be reheated.
Optionally, the end of the air supply system (i.e. variable air volume air conditioning system) comprises an end reheating device for reheating the mixed air at the preset air supply temperature.
As an alternative embodiment, the end reheat device is used to adjust the mixed wind temperature based on the thermal energy consumption.
According to the technical scheme provided by the invention, in the operation process of the variable air volume air conditioning system, an energy consumption economic model for expressing the relation between the energy consumption and the air supply temperature of the air handling unit is established according to the real-time load of each room at the tail end of the system, then the energy consumption economic model is optimized and solved by utilizing a particle swarm algorithm, and the preset air supply temperature of the air handling unit is set based on the optimal solution of the energy consumption economic model, so that the energy, the energy and the cost can be saved, and the indoor comfort level can be ensured.
As an alternative embodiment, the economic model for determining the energy consumption of the whole of the fan, the heat exchange device and the terminal reheating device based on the preset air supply temperature comprises: identifying energy consumption types of the fan, the heat exchange equipment and the end reheating equipment, wherein the energy consumption types comprise: electric energy consumption and heat energy consumption; acquiring the electric energy economic value of electric energy consumption and the heat energy economic value of heat energy consumption; and determining the energy consumption economic model based on the energy consumption models of the electric energy economic value and the electric energy consumption and the energy consumption models of the heat energy economic value and the heat energy consumption.
In the above embodiment of the present invention, the fan, the heat exchange device, and the terminal reheating device may operate based on different energy consumption types, and further, based on the energy consumption type used by each device, the devices in the air supply system may be divided into a device using electric energy consumption and a device using thermal energy consumption, and by identifying the energy consumption types of the fan, the heat exchange device, and the terminal reheating device, the energy consumption models of the fan, the heat exchange device, and the terminal reheating device may be divided into an electric energy consumption model and a thermal energy consumption model, and then based on the electric energy consumption model in combination with an electric energy economic value (such as a unit price of electric energy consumption) and a thermal energy economic value (such as a unit price of thermal energy consumption) of the thermal energy consumption model and the thermal energy consumption, the energy consumption economic model of the air supply system may be obtained.
As an alternative embodiment, identifying the type of energy consumption of the fan, the heat exchange device, and the end reheat device includes: detecting the initial temperature of the mixed wind; determining energy consumption types of a fan, heat exchange equipment and tail end reheating equipment based on the difference between the initial temperature of mixed air and the preset air supply temperature; under the condition that the initial temperature is higher than the preset air supply temperature, determining the energy consumption of the fan and the heat exchange equipment by using electric energy, and determining the energy consumption of the tail reheating equipment by using heat energy; and under the condition that the initial temperature is lower than the preset air supply temperature, determining the energy consumption of the fan by using electric energy, and determining the energy consumption of the heat exchange equipment and the tail end reheating equipment by using heat energy.
In the above embodiment of the present invention, based on different preset air supply temperatures, the types of energy consumption used by each device in the air supply system may be different, for example, when the initial temperature is higher than the preset air supply temperature, the heat exchange device is required to cool the mixed air, and therefore the heat exchange device needs to use electric energy consumption, so as to determine the electric energy consumption used by the fan and the heat exchange device, and determine the heat energy consumption used by the terminal reheating device; under the condition that the initial temperature is lower than the preset air supply temperature, the heat exchange equipment is required to heat the mixed air, so that the heat exchange equipment is required to use heat energy for energy consumption, the electric energy consumption used by the fan is determined, and the heat energy consumption used by the heat exchange equipment and the tail reheating equipment is determined.
It should be noted that the energy consumption model at least includes: the energy consumption model of the fan, the energy consumption model of the heat exchange equipment and the energy consumption model of the terminal reheating equipment.
Firstly, establishing an energy consumption model of the fan.
Fig. 2 is a schematic diagram of a fan control logic according to an embodiment of the present invention, and as shown in fig. 2, the room selection at the end of the air supply system is divided into two cases, namely, a cooling mode and a heating mode. When the room selects the refrigeration mode, adjusting the air supply quantity between the minimum air supply quantity and the maximum air supply quantity according to the room load; when the heating mode is selected in the room, the air supply quantity is reduced and kept at a fixed heating air quantity set point, and the air is heated by the tail end heating coil and then is sent into the air-conditioning room.
Based on the fan control logic shown in fig. 2, when a room is in a cooling mode, a temperature value is set
Below the current indoor temperature Ti(j) And the required air volume at the moment j +1 is as follows:
in the formula: qi(j +1) is the air volume required by the room i at the next moment, unit: m is3/h；Qi(j) Is the current air volume of the room i, unit: m is3/h；Ti(j) Room i current temperature, unit: DEG C; t isSAT(j) Is the current air supply temperature (namely the preset air supply temperature) of the air supply system, the unit is as follows: DEG C; t isSAT(j +1) is the next moment air supply temperature (i.e. the preset air supply temperature at the next moment) of the air supply system, unit: DEG C;
for room i, receiving the minimum air volume of a fan in an air supply system, unit: m is3/h；
In systems for receiving air supply for room iMaximum air volume of the fan, unit: m is3/h。
When a room is in heating mode, setting temperature value
Higher than the current indoor temperature Ti(j) And then, according to the required air volume at the moment 2, j + 1:
the total air volume of the air supply system is as follows:
the fan power is the function of the air volume, and different fan functional relations are different, wherein, the energy consumption model of the fan is: pfan＝f(Q)。
And secondly, establishing an energy consumption model of the heat exchange equipment.
The heat exchange equipment comprises refrigeration equipment (namely a surface cooling section) and heating equipment (namely a heating section), wherein the energy consumption model of the heat exchange equipment refers to the energy consumption for processing mixed air obtained after indoor return air and fresh air are mixed to a preset air supply temperature.
Wherein, the energy consumption that heat exchange equipment used divides into: the energy consumption of the heat exchange equipment is calculated by the air quantity, the current temperature of the mixed air and the air supply temperature at the next moment. When the supply air temperature (i.e. the preset supply air temperature) is lower than the current temperature of the mixed air, the valve of the refrigeration equipment (i.e. the surface cooling section or the surface cooler) is opened, and PwFor the energy consumption (electric energy consumption) of the refrigeration equipment (namely, the surface cooling section or the surface cooler), when the air supply temperature (namely the preset air supply temperature) is higher than the current temperature of the mixed air, the valve of the heating equipment (namely, the heating section) is opened, the valve of the refrigeration equipment (namely, the surface cooling section or the surface cooler) is closed, and PwThe energy consumption (i.e. the heat energy consumption) of the heating equipment (i.e. the heating section).
Wherein, the energy consumption model of the heat exchange equipment is as follows:
Pw＝CPρQ︱(Tmix-TSAT(k+1))︱
in the formula, PwIs output power of the cold machine or hot water, unit: kW; cPIs the constant pressure specific heat of air, unit: kJ/Kg. DEG C, 1 can be taken; ρ is the density of air, unit: kg/m3, 1.2 can be taken; q is air delivery, unit: m 3/h; t ismixFor indoor return air and new trend temperature of mixing the wind (being the current temperature of mixing the wind), the unit: DEG C.
And thirdly, an energy consumption model of the tail end reheating equipment.
The energy consumption model of the tail end reheating equipment refers to the heat supply quantity supplied to the tail end of the fan power type tail end through the hot water reheating coil. Because each layer of hot water vertical pipe of the variable air volume air conditioning system is not provided with a flowmeter and a temperature sensor, the energy consumption of the tail end of each reheating coil pipe is independently calculated according to the on-off state of each tail end reheating water valve, the air supply temperature of a room after reheating and the air supply temperature of a fan (namely the preset air supply temperature), and the total tail end reheating energy consumption is summed.
The energy consumption model of the terminal reheating equipment is as follows:
in the formula:
is the air supply temperature of the room after reheating, the unit is: DEG C; valvei＝1，valveiThe tail end reheating coil hot water valve is opened and closed as 0; n is the number of the tail ends of the hot water reheating coil pipes.
The technical scheme provided by the invention can at least comprise the following steps based on an energy consumption model: and establishing an energy consumption economic model of an air supply system (namely the variable air volume air conditioning system) by using an energy consumption model of the fan, an energy consumption model of the heat exchange equipment and an energy consumption model of the tail end reheating equipment.
It should be noted that the fans and the refrigeration devices in the heat exchange devices consume electric energy, and the tail end reheating devices and the refrigeration devices in the heat exchange devices consume municipal hot water and consume heat energy. The method comprises the steps of classifying and calculating heat energy consumption and electric energy consumption by utilizing the hourly electricity price and the municipal hot water price, calculating and changing air supply temperature (namely preset air supply temperature), and selecting the air supply temperature which can enable the total cost to be the lowest at the next moment for energy consumption.
The energy consumption economic model of the air supply system (namely the variable air volume air conditioning system) is as follows:
in the formula: t isSAT(k+1)＜TmixWhen is, PwOutputting power for the refrigerator; unit: kW; t isSAT(k+1)＞TmixWhen is, PwOutputting power for hot water; unit: kW; s is the total cost of energy consumption, unit: Yuan/kW.h; selecTime-by-time electricity prices, unit: Yuan/kW.h; shwFor measuring heat value, 0.25 yuan/kW.h; COP is the average energy efficiency ratio of the refrigeration equipment in the heat exchange equipment.
It should be noted that the particle swarm optimization PSO is an iterative evolution calculation method, and based on the swarm intelligence theory, the swarm is generated through cooperation and competition among swarm particles, and the optimization search is intelligently guided. The particle swarm optimization PSO has no requirement on the property (such as microminiaturibility, conductibility, continuity and the like) of an optimization function, and has the characteristics of simple algorithm, easy realization, quick calculation and the like, so far, the particle swarm optimization PSO is quickly developed on the problems of single-target optimization, multi-target optimization, constraint optimization, dynamic optimization and the like, and great results are obtained.
According to the technical scheme provided by the invention, the energy consumption economic model can be optimized and solved based on the particle swarm optimization, so that the optimal temperature value of the preset air supply temperature is obtained.
Fig. 3 is a schematic diagram of a particle swarm algorithm according to an embodiment of the invention, as shown in fig. 3, including the following steps:
1) initializing a particle swarm, setting the size of the particle swarm, and randomly setting the initial speed (namely the search step length) and the initial position of the particle. Balancing the optimization effect and the calculation complexity, and determining the particle swarm size to be 30.
2) Position of the particlesIntroducing a moderate function, calculating the moderate value of each particle (the objective function value is the function of cost and air supply temperature), and finding out the individual extreme value P of each particlebestFinding the current global optimal solution G of the whole particle swarmbest。
3) The velocity and position of each particle is updated as follows.
V＝W*V+c1*r1*(Pbest-X)+c2*r2*(Gbest-X)
X＝X+V
In the formula: w is the inertial weight; is the velocity of the particle; is the current position of the particle; c. C1,c2Is a learning factor; r is1，r2Is distributed in [0,1 ]]Random number of intervals.
The inertial weight W can control and restrict the flight speed of the particles, and when the value of W is 0.729, the global search capability and the local search capability can be balanced. c. C1、c2For learning factors, for weighing local optimum and global optimum, take c1＝c2＝2.05。
4) And calculating the fitness value of the particles after the positions are updated, if the current fitness value is superior to the individual extreme value, updating the positions of the particles, the individual extreme value and the group extreme value, and otherwise, not updating.
5) Judging whether a termination condition is met, if so, terminating the calculation, and if not, returning to 3) continuously updating and iterating to seek optimization. In the particle swarm algorithm PSO, two termination conditions can be selected, one is to satisfy the maximum number of iterations, and the other is to make the deviation between two adjacent generations within a specified range. The maximum number of iterations is generally chosen as the termination condition. The larger the iteration number is, the better the solving precision is, and the longer the solving time is. In this embodiment, the number of iterations is 300 under the condition of ensuring the optimization time.
According to the embodiment of the invention, the particle swarm algorithm is utilized, the air supply temperature can be optimized in a reasonable range, the air supply temperature is enabled to have an optimal value, and the lowest energy consumption of the system is realized under the condition of meeting the load requirements of various rooms.
According to the embodiment of the invention, the particle swarm algorithm is simple and practical, the calculation is fast, the debugging is convenient, and compared with the method of manually setting the preset air supply temperature of the air supply system (namely, the variable air volume air conditioning system) by experience, the optimal air supply temperature calculated by the particle swarm algorithm can ensure that the indoor comfort is better and the energy consumption cost is lower.
In accordance with an embodiment of the present invention, there is provided an embodiment of a supply air temperature setting method, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system, such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that presented herein.
Fig. 4 is a flowchart of a supply air temperature setting method according to an embodiment of the present invention, as shown in fig. 4, the method including the steps of:
s402, acquiring an energy consumption model of each device in an air supply system, wherein the air supply system at least comprises a fan, a heat exchange device and at least one tail end reheating device, and the fan is used for controlling the air supply volume based on a preset air supply temperature; the heat exchange equipment is used for adjusting the air mixing temperature based on the preset air supply temperature, and the air mixing temperature is the temperature of mixed air obtained after indoor return air and fresh air are mixed; the tail end reheating equipment is used for heating the mixed air at the preset air supply temperature based on a tail end set temperature; the energy consumption model is used for representing energy consumption corresponding to the fan, the heat exchange equipment and the tail end reheating equipment based on different preset air supply temperatures;
step S404, determining an energy consumption economic model of the air supply system based on the energy consumption model, wherein the energy consumption economic model is used for representing economic values required to be consumed by the air supply system at different preset air supply temperatures;
step S406, performing optimization solution on the energy consumption economic model based on a particle swarm algorithm to obtain an optimal solution of the preset air supply temperature, wherein the particle swarm algorithm simulates the tail end set temperature of at least one tail end reheating device through a particle swarm;
and step S408, setting the temperature value of the preset air supply temperature based on the optimal solution.
In the embodiment of the invention, the fan is used for controlling the air supply quantity based on the preset air supply temperature; the heat exchange equipment is used for adjusting the air mixing temperature based on the preset air supply temperature, wherein the air mixing temperature is the temperature of mixed air obtained after indoor return air and fresh air are mixed; the tail end reheating device is used for heating mixed air at a preset air supply temperature based on a tail end set temperature; the method comprises the steps that energy consumption models capable of representing energy consumption corresponding to different preset air supply temperatures of a fan, heat exchange equipment and tail end reheating equipment are obtained by control equipment, an energy consumption economic model of an air supply system is determined based on the energy consumption models, then the energy consumption economic model is optimized and solved based on a particle swarm algorithm, an optimal solution of the preset air supply temperatures is obtained, and temperature values of the preset air supply temperatures are set based on the optimal solution; the particle swarm optimization simulates the set temperature at the tail end of at least one tail end reheating device through particle swarm, so that the preset air supply temperature in the air supply system can meet the room load requirements of a plurality of tail end reheating devices, the technical effects of balancing the preset air supply temperature and the energy consumption of an air conditioning system under the condition of meeting the room load requirements are achieved, and the technical problem that the energy consumption of the balanced variable air volume air conditioning system can not be reduced under the condition of meeting the room load requirements is solved.
As an alternative embodiment, determining an economic model of energy consumption for the air supply system based on the energy consumption model includes: identifying energy consumption types of the fan, the heat exchange equipment and the end reheating equipment, wherein the energy consumption types comprise: electric energy consumption and heat energy consumption; acquiring the electric energy economic value of electric energy consumption and the heat energy economic value of heat energy consumption; and determining the energy consumption economic model based on the energy consumption models of the electric energy economic value and the electric energy consumption and the energy consumption models of the heat energy economic value and the heat energy consumption.
As an alternative embodiment, identifying the types of energy consumption of the fan, the heat exchange device, and the end reheating device includes: detecting an initial temperature of the mixed wind; determining energy consumption types of the fan, the heat exchange equipment and the terminal reheating equipment based on the difference between the initial temperature of the mixed air and the preset air supply temperature; under the condition that the initial temperature is higher than the preset air supply temperature, determining that the fan and the heat exchange equipment use the electric energy consumption, and determining that the tail end reheating equipment uses the heat energy consumption; and under the condition that the initial temperature is lower than the preset air supply temperature, determining that the fan uses the electric energy consumption, and determining that the heat exchange equipment and the tail end reheating equipment use the heat energy consumption.
Optionally, the heat exchange apparatus comprises: the refrigeration equipment is used for adjusting the mixed air temperature based on the electric energy consumption; and the heating equipment is used for adjusting the mixed air temperature based on the heat energy consumption.
Optionally, the end reheat device is used to adjust the mixed wind temperature based on the thermal energy consumption.
According to still another embodiment of the present invention, there is also provided a storage medium including a stored program, wherein the program is executed to execute any one of the above-described blast air temperature setting methods.
According to still another embodiment of the present invention, there is also provided a processor for executing a program, wherein the program executes to execute any one of the above-described air supply temperature setting methods.
According to an embodiment of the present invention, there is also provided an embodiment of an air supply temperature setting device, and it should be noted that the air supply temperature setting device may be configured to execute an air supply temperature setting method in the embodiment of the present invention, and the air supply temperature setting method in the embodiment of the present invention may be executed in the air supply temperature setting device.
Fig. 5 is a schematic diagram of an apparatus for setting a temperature of an air supply according to an embodiment of the present invention, and as shown in fig. 5, the apparatus may include:
the acquiring unit 52 is configured to acquire an energy consumption model of each device in the air supply system, where the air supply system at least includes a fan, a heat exchange device, and at least one terminal reheating device, and the fan is configured to control an air supply amount based on a preset air supply temperature; the heat exchange equipment is used for adjusting the air mixing temperature based on the preset air supply temperature, and the air mixing temperature is the temperature of mixed air obtained after indoor return air and fresh air are mixed; the tail end reheating equipment is used for heating the mixed air at the preset air supply temperature based on a tail end set temperature; the energy consumption model is used for representing energy consumption corresponding to the fan, the heat exchange equipment and the tail end reheating equipment based on different preset air supply temperatures; a determining unit 54, configured to determine an energy consumption economic model of the air supply system based on the energy consumption model, where the energy consumption economic model is used to represent economic values that the air supply system needs to consume at different preset air supply temperatures; the optimizing unit 56 is configured to perform optimization solution on the energy consumption economic model based on a particle swarm algorithm to obtain an optimal solution of the preset air supply temperature, where the particle swarm algorithm simulates a set temperature of the tail end of at least one tail end reheating device through a particle swarm; a setting unit 58 for setting a temperature value of the preset supply air temperature based on the optimal solution.
It should be noted that the obtaining unit 52 in this embodiment may be configured to execute the step S402 in this embodiment, the determining unit 54 in this embodiment may be configured to execute the step S404 in this embodiment, the optimizing unit 56 in this embodiment may be configured to execute the step S406 in this embodiment, and the setting unit 58 in this embodiment may be configured to execute the step S408 in this embodiment. The modules are the same as the corresponding steps in the realized examples and application scenarios, but are not limited to the disclosure of the above embodiments.
In the embodiment of the invention, the fan is used for controlling the air supply quantity based on the preset air supply temperature; the heat exchange equipment is used for adjusting the air mixing temperature based on the preset air supply temperature, wherein the air mixing temperature is the temperature of mixed air obtained after indoor return air and fresh air are mixed; the tail end reheating device is used for heating mixed air at a preset air supply temperature based on a tail end set temperature; the method comprises the steps that energy consumption models capable of representing energy consumption corresponding to different preset air supply temperatures of a fan, heat exchange equipment and tail end reheating equipment are obtained by control equipment, an energy consumption economic model of an air supply system is determined based on the energy consumption models, then the energy consumption economic model is optimized and solved based on a particle swarm algorithm, an optimal solution of the preset air supply temperatures is obtained, and temperature values of the preset air supply temperatures are set based on the optimal solution; the particle swarm optimization simulates the set temperature at the tail end of at least one tail end reheating device through particle swarm, so that the preset air supply temperature in the air supply system can meet the room load requirements of a plurality of tail end reheating devices, the technical effects of balancing the preset air supply temperature and the energy consumption of an air conditioning system under the condition of meeting the room load requirements are achieved, and the technical problem that the energy consumption of the balanced variable air volume air conditioning system can not be reduced under the condition of meeting the room load requirements is solved.
As an alternative embodiment, the determining unit includes: an identification module for identifying energy consumption types of the fan, the heat exchange device and the terminal reheating device, wherein the energy consumption types include: electric energy consumption and heat energy consumption; the acquisition module is used for acquiring the electric energy economic value of the electric energy consumption and the heat energy economic value of the heat energy consumption; the first determining module is used for determining the energy consumption economic model based on the electric energy economic value, the energy consumption model of the electric energy consumption and the energy consumption model of the heat energy economic value and the heat energy consumption.
As an alternative embodiment, the identification module comprises: the monitoring module is used for detecting the initial temperature of the mixed wind; the second determining module is used for determining the energy consumption types of the fan, the heat exchange equipment and the tail end reheating equipment based on the difference between the initial temperature of the mixed air and the preset air supply temperature; under the condition that the initial temperature is higher than the preset air supply temperature, determining that the fan and the heat exchange equipment use the electric energy consumption, and determining that the tail end reheating equipment uses the heat energy consumption; and under the condition that the initial temperature is lower than the preset air supply temperature, determining that the fan uses the electric energy consumption, and determining that the heat exchange equipment and the tail end reheating equipment use the heat energy consumption.
Optionally, the heat exchange apparatus comprises: the refrigeration equipment is used for adjusting the mixed air temperature based on the electric energy consumption; and the heating equipment is used for adjusting the mixed air temperature based on the heat energy consumption.
Optionally, the end reheat device is used to adjust the mixed wind temperature based on the thermal energy consumption.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. An air supply system, comprising:
the fan is used for controlling the air supply quantity based on the preset air supply temperature;
the heat exchange equipment is used for adjusting the air mixing temperature based on the preset air supply temperature, wherein the air mixing temperature is the temperature of mixed air obtained after indoor return air and fresh air are mixed;
at least one terminal reheating device for heating the mixed air at the preset air supply temperature based on a terminal set temperature;
the control equipment is connected with the fan, the heat exchange equipment and the tail end reheating equipment and is used for acquiring an energy consumption model capable of representing energy consumption corresponding to the fan, the heat exchange equipment and the tail end reheating equipment based on different preset air supply temperatures, determining an energy consumption economic model of the air supply system based on the energy consumption model, performing optimization solution on the energy consumption economic model based on a particle swarm algorithm to obtain an optimal solution of the preset air supply temperature, and setting a temperature value of the preset air supply temperature based on the optimal solution;
the energy consumption economic model is used for representing economic values required to be consumed by the air supply system under different preset air supply temperatures, and the particle swarm algorithm simulates the set temperature of the tail end of at least one tail end reheating device through particle swarm.
2. The system of claim 1, wherein determining an economic model of energy consumption for the fan, the heat exchange device, and the terminal reheat device as a whole based on the preset supply air temperature comprises:
identifying energy consumption types of the fan, the heat exchange device, and the end reheating device, wherein the energy consumption types include: electric energy consumption and heat energy consumption;
acquiring the electric energy economic value of the electric energy consumption and the heat energy economic value of the heat energy consumption;
and determining the energy consumption economic model based on the energy consumption models of the electric energy economic value and the electric energy consumption and the energy consumption models of the heat energy economic value and the heat energy consumption.
3. The system of claim 2, wherein identifying the type of energy consumption of the fan, the heat exchange device, and the end reheat device comprises:
detecting an initial temperature of the mixed air;
determining energy consumption types of the fan, the heat exchange equipment and the tail end reheating equipment based on the difference between the initial temperature of the mixed air and the preset air supply temperature;
under the condition that the initial temperature is higher than the preset air supply temperature, determining that the fan and the heat exchange equipment use the electric energy consumption, and determining that the tail end reheating equipment uses the heat energy consumption;
and under the condition that the initial temperature is lower than the preset air supply temperature, determining that the fan uses the electric energy consumption, and determining that the heat exchange equipment and the tail end reheating equipment use the heat energy consumption.
4. The system of claim 2, wherein the heat exchange device comprises:
the refrigerating equipment is used for adjusting the mixed air temperature based on the electric energy consumption;
and the heating equipment is used for adjusting the air mixing temperature based on the heat energy consumption.
5. The system of any of claims 2-4, wherein the tip reheating device is configured to adjust the temperature of the mixed air based on the thermal energy consumption.
6. A method for setting a temperature of an air supply, comprising:
acquiring an energy consumption model of each device in an air supply system, wherein the air supply system at least comprises a fan, a heat exchange device and at least one tail end reheating device, and the fan is used for controlling the air supply volume based on a preset air supply temperature; the heat exchange equipment is used for adjusting the air mixing temperature based on the preset air supply temperature, and the air mixing temperature is the air mixing temperature obtained after indoor return air and fresh air are mixed; the tail end reheating equipment is used for heating the mixed air at the preset air supply temperature based on a tail end set temperature; the energy consumption model is used for representing energy consumption corresponding to the fan, the heat exchange equipment and the tail end reheating equipment based on different preset air supply temperatures;
determining an energy consumption economic model of the air supply system based on the energy consumption model, wherein the energy consumption economic model is used for representing economic values required to be consumed by the air supply system at different preset air supply temperatures;
performing optimization solution on the energy consumption economic model based on a particle swarm algorithm to obtain an optimal solution of the preset air supply temperature, wherein the particle swarm algorithm simulates the tail end set temperature of at least one tail end reheating device through a particle swarm;
and setting the temperature value of the preset air supply temperature based on the optimal solution.
7. The method of claim 6, wherein determining an economic model of energy consumption for the air supply system based on the model of energy consumption comprises:
identifying energy consumption types of the fan, the heat exchange device, and the end reheating device, wherein the energy consumption types include: electric energy consumption and heat energy consumption;
acquiring the electric energy economic value of the electric energy consumption and the heat energy economic value of the heat energy consumption;
and determining the energy consumption economic model based on the energy consumption models of the electric energy economic value and the electric energy consumption and the energy consumption models of the heat energy economic value and the heat energy consumption.
8. An air supply temperature setting device, comprising:
the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring an energy consumption model of each device in an air supply system, the air supply system at least comprises a fan, a heat exchange device and at least one tail end reheating device, and the fan is used for controlling the air supply amount based on preset air supply temperature; the heat exchange equipment is used for adjusting the air mixing temperature based on the preset air supply temperature, and the air mixing temperature is the air mixing temperature obtained after indoor return air and fresh air are mixed; the tail end reheating equipment is used for heating the mixed air at the preset air supply temperature based on a tail end set temperature; the energy consumption model is used for representing energy consumption corresponding to the fan, the heat exchange equipment and the tail end reheating equipment based on different preset air supply temperatures;
the determining unit is used for determining an energy consumption economic model of the air supply system based on the energy consumption model, wherein the energy consumption economic model is used for representing the economic value required to be consumed by the air supply system at different preset air supply temperatures;
the optimization unit is used for carrying out optimization solution on the energy consumption economic model based on a particle swarm algorithm to obtain an optimal solution of the preset air supply temperature, wherein the particle swarm algorithm simulates the tail end set temperature of at least one tail end reheating device through the particle swarm;
and the setting unit is used for setting the temperature value of the preset air supply temperature based on the optimal solution.
9. A storage medium comprising a stored program, wherein the program, when executed, controls an apparatus in which the storage medium is located to execute the blowing air temperature setting method according to any one of claims 6 to 8.
10. A processor, wherein the processor is configured to execute a program, wherein the program executes the method for setting the temperature of the supply air according to any one of claims 6 to 8.
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