CN115597203A - Control method and control device of air conditioner, processor and air conditioning system - Google Patents

Control method and control device of air conditioner, processor and air conditioning system Download PDF

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Publication number
CN115597203A
CN115597203A CN202210901570.2A CN202210901570A CN115597203A CN 115597203 A CN115597203 A CN 115597203A CN 202210901570 A CN202210901570 A CN 202210901570A CN 115597203 A CN115597203 A CN 115597203A
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Prior art keywords
air conditioner
room
temperature
indoor
data
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Inventor
连彩云
安智
廖敏
夏光辉
梁博
王现林
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Gree Green Refrigeration Technology Center Co Ltd of Zhuhai
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Gree Green Refrigeration Technology Center Co Ltd of Zhuhai
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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
    • 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
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
    • 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
    • F24F11/89—Arrangement or mounting of control or safety devices
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/047—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators the criterion being a time optimal performance criterion
    • 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
    • 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
    • F24F2110/12—Temperature of the outside air
    • 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
    • F24F2140/50—Load

Abstract

The application provides a control method, a control device, a processor and an air conditioning system of an air conditioner, which comprises the following steps: acquiring actual environment data and operation data of the air conditioner, wherein the actual environment data comprises the indoor temperature and the outdoor temperature at the current moment, and the operation data comprises the capacity output of the air conditioner at the current moment; determining target parameter data at least according to the target room volume and a preset corresponding relation, wherein the preset corresponding relation is the corresponding relation between different room volumes and the parameter data, the target parameter data is the parameter data of the target room, and the parameter data comprises an indoor air heat exchange coefficient, indoor and outdoor total thermal resistance and a thermal load of the target room at the current moment; inputting actual environment data, operation data and target parameter data into an equivalent thermal parameter model of a target room to obtain indoor predicted temperature at the next moment; and controlling the air conditioner to operate according to at least the indoor predicted temperature, the expected temperature and the preset threshold value. The application solves the problem that the air conditioner cannot be controlled in a self-adaptive mode.

Description

Control method and control device of air conditioner, processor and air conditioning system
Technical Field
The present disclosure relates to the field of air conditioner control, and in particular, to a method and a device for controlling an air conditioner, a computer readable storage medium, a processor, and an air conditioning system.
Background
The existing heat pump air conditioner controls by taking the temperature set by a user as the target temperature, different rooms have larger difference of actual temperature reduction effects due to differences of an enclosure structure, the use habit, the room size and the like, different cooling curves exist, the cooling is fast, slow, overshooting, fluctuating and does not reach the set temperature, and the room temperature control has the problems of overshooting, too slow, instability, inaccuracy and the like.
The above information disclosed in this background section is only for enhancement of understanding of the background of the technology described herein and, therefore, certain information may be included in the background that does not form the prior art that is already known in this country to a person of ordinary skill in the art.
Disclosure of Invention
The present application mainly aims to provide a control method, a control device, a computer-readable storage medium, a processor and an air conditioning system for an air conditioner, so as to solve the problem that the temperature of a room where the air conditioner is located cannot be adaptively controlled in the prior art.
According to an aspect of an embodiment of the present invention, there is provided a control method of an air conditioner, including: acquiring actual environment data and operation data of an air conditioner, wherein the actual environment data comprises an indoor temperature and an outdoor temperature at the current moment, the operation data comprises capacity output of the air conditioner at the current moment, and the capacity output comprises refrigerating capacity and/or heating capacity; determining target parameter data according to at least a target room volume and a preset corresponding relation, wherein the target room is a room where the air conditioner is located, the target room volume is the volume of the target room, the preset corresponding relation is the corresponding relation between different room volumes and parameter data, the target parameter data is the parameter data corresponding to the target room, and the parameter data comprises an indoor air heat exchange coefficient of the target room at the current moment, indoor and outdoor total heat resistance of the target room at the current moment and heat load of the target room at the current moment; inputting the actual environment data, the operation data and the target parameter data into an equivalent thermal parameter model of the target room to obtain indoor temperature pre-measurement at the next moment; and controlling the air conditioner to operate at least according to the indoor predicted temperature, the expected temperature and a preset threshold value, wherein the preset threshold value is a deviation threshold value between the indoor predicted temperature and the expected temperature.
Optionally, before inputting the actual environment data, the operating data, and the target parameter data into the equivalent thermal parameter model of the target room, the method further comprises: establishing an initial equivalent thermal parameter model
Figure BDA0003771071610000011
Wherein, C in-space Is the heat exchange coefficient of the indoor air of a room, T in Is the room temperature of the room, K C Is the total indoor and outdoor thermal resistance, T, of the room out Is the outdoor temperature, Q, of the room AC For capacity output of the air conditioner, Q Others Is the heat load in the room in question,
Figure BDA0003771071610000021
is within a sampling time Δ tA rate of temperature change in the room; and carrying out differential solution on the initial equivalent thermal parameter model to obtain the equivalent thermal parameter model.
Optionally, the differential solving is performed on the initial equivalent thermal parameter model to obtain the equivalent thermal parameter model, and the method includes: carrying out differential solution on the initial equivalent thermal parameter model to obtain the equivalent thermal parameter model
Figure BDA0003771071610000022
Wherein, K 1 、K 2 、K 3 And K 4 The calculation formula of (2) is as follows:
Figure BDA0003771071610000023
Figure BDA0003771071610000024
Figure BDA0003771071610000025
Figure BDA0003771071610000026
k and (K + 1) are two adjacent time points, K C (k)、C in-space (k)、T in (k)、T out (k)、Q AC (k) And Q Others (k) K at time K respectively C 、C in-space 、T in 、T out 、Q AC And Q Others ，T out (k+1)、Q AC (k + 1) and Q Others (k + 1) is T at the time of (k + 1), respectively out 、Q AC And Q Others are 。
Optionally, determining target parameter data according to at least the target room volume and the predetermined correspondence includes: according to preset deviation value and the indoor temperature at the k momentAnd
Figure BDA0003771071610000027
determining an estimate of the indoor predicted temperature at time k, wherein,
Figure BDA0003771071610000028
an estimate of the indoor predicted temperature at time k, T in-i (k) The temperature in the chamber at time k, upsilon k Setting the preset deviation value; establishing a room parameter identification model
Figure BDA0003771071610000031
Wherein x is k A state vector at time k, the state vector comprising the parameter data and the estimated value at time k; acquiring a data set, wherein the data set comprises initial parameter data corresponding to different inter-room volumes, and the initial parameter data is the parameter data at a preset initial moment; inputting the data set into the room parameter identification model to obtain the preset corresponding relation; and taking the parameter data corresponding to the room volume which is the same as the target room volume in the preset corresponding relation as the target parameter data.
Optionally, obtaining operational data comprises: acquiring initial working parameters of the air conditioner, corresponding capacity output and output power of the air conditioner, wherein the initial working parameters are working parameters at an initial moment, and the working parameters comprise compressor frequency, opening of an electronic expansion valve, rotating speed of an inner fan and rotating speed of an outer fan; acquiring current working parameters of the air conditioner, wherein the current working parameters are the working parameters at the current moment; and respectively predicting the capacity output corresponding to the current moment and the output power of the air conditioner according to the initial working parameters, the corresponding capacity output, the corresponding output power and the current working parameters to obtain the operation data.
Optionally, controlling the air conditioner to operate according to at least the indoor predicted temperature, the desired temperature and a predetermined threshold value includes: under the same capacity output, the output power is minimum as an objective function, and the deviation amount between the expected temperature and the indoor predicted temperature is smaller than the preset threshold value as a constraint condition, calculating an optimal solution, wherein the optimal solution comprises the optimal compressor frequency, the optimal electronic expansion valve opening degree, the optimal inner fan rotating speed and the optimal outer fan rotating speed; and controlling the air conditioner to operate according to the parameters corresponding to the optimal solution.
According to another aspect of the embodiments of the present invention, there is also provided a control apparatus of an air conditioner, including an obtaining unit, a determining unit, an input unit, and a control unit, where the obtaining unit is configured to obtain actual environment data and operation data of the air conditioner, the actual environment data includes an indoor temperature and an outdoor temperature at a current time, the operation data includes a capacity output of the air conditioner at the current time, and the capacity output includes a cooling capacity and/or a heating capacity; the determining unit is configured to determine target parameter data according to at least a target room volume and a predetermined corresponding relationship, where the target room is a room where the air conditioner is located, the target room volume is a volume of the target room, the predetermined corresponding relationship is a corresponding relationship between different room volumes and parameter data, the target parameter data is the parameter data corresponding to the target room, and the parameter data includes an indoor air heat exchange coefficient of the target room at the current time, an indoor-outdoor total thermal resistance of the target room at the current time, and a thermal load of the target room at the current time; the input unit is used for inputting the actual environment data, the operation data and the target parameter data into an equivalent thermal parameter model of the target room to obtain the indoor predicted temperature at the next moment; the control unit is used for controlling the air conditioner to operate at least according to the indoor predicted temperature, the expected temperature and a preset threshold value, wherein the preset threshold value is a deviation threshold value between the indoor predicted temperature and the expected temperature.
According to another aspect of embodiments of the present invention, there is also provided a computer-readable storage medium including a stored program, wherein the program performs any one of the methods.
According to a further aspect of the embodiments of the present invention, there is also provided a processor for executing a program, where the program executes to perform any one of the methods.
According to another aspect of embodiments of the present invention, there is also provided an air conditioning system, comprising an air conditioner and a control device of the air conditioner, the control device comprising one or more processors, memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any one of the methods.
By adopting the technical scheme, the control method of the air conditioner comprises the steps of firstly obtaining actual environment data and operation data of the air conditioner, wherein the actual environment data comprises the indoor temperature and the outdoor temperature of a target room where the air conditioner is located at the current moment, and the operation data comprises capacity output such as refrigerating capacity and/or heating capacity; then determining target parameter data of the target room at least according to the volume of the target room and the preset corresponding relation between different room volumes and parameter data, wherein the target parameter data comprises the indoor air heat exchange coefficient at the current moment, the indoor and outdoor total thermal resistance at the current moment and the thermal load at the current moment; inputting the data into an equivalent thermal parameter model of a target room to obtain the indoor predicted temperature at the next moment of the current moment; and finally, controlling the air conditioner to operate according to at least the indoor predicted temperature, the expected temperature and a deviation threshold value between the indoor predicted temperature and the expected temperature. According to the method and the device, the predicted indoor temperature is obtained by inputting the actual environmental data, the operation data and the target parameter data of the air conditioner into the equivalent thermal parameter model of the room where the air conditioner is located, and the operation of the air conditioner is controlled according to the predicted indoor temperature, the expected indoor temperature and the deviation threshold value between the predicted indoor temperature and the expected indoor temperature, so that the self-adaptive control of the room temperature is realized, and the problem that the self-adaptive control of the temperature of the room where the air conditioner is located cannot be carried out in the prior art is effectively solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate exemplary embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 illustrates a flowchart generated by a control method of an air conditioner according to an embodiment of the present application;
FIG. 2 illustrates an air conditioning control flow diagram according to a particular embodiment of the present application;
fig. 3 shows a schematic diagram of a control apparatus of an air conditioner according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application 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 should be understood that the data so used may be interchanged under appropriate circumstances in order to facilitate the description of the embodiments of the application herein. Moreover, the terms "comprises," "comprising," and any other 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 explicitly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It will be understood that when an element such as a layer, film, region, or substrate is referred to as being "on" another element, it can be directly on the other element or intervening elements may also be present. Also, in the description and claims, when an element is referred to as being "connected" to another element, it can be "directly connected" to the other element or "connected" to the other element through a third element.
As mentioned in the background of the invention, in order to solve the above problems, the prior art cannot adaptively control the temperature of a room where an air conditioner is located, and in an exemplary embodiment of the present application, a control method, a control device, a computer-readable storage medium, a processor, and an air conditioning system for an air conditioner are provided.
According to an embodiment of the present application, there is provided a control method of an air conditioner.
Fig. 1 is a flowchart of a control method of an air conditioner according to an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:
step S101, acquiring actual environment data and operation data of an air conditioner, wherein the actual environment data comprises an indoor temperature and an outdoor temperature at the current moment, the operation data comprises capacity output of the air conditioner at the current moment, and the capacity output comprises refrigerating capacity and/or heating capacity;
step S102, determining target parameter data at least according to a target room volume and a preset corresponding relation, wherein the target room is a room where the air conditioner is located, the target room volume is the volume of the target room, the preset corresponding relation is a corresponding relation between different room volumes and parameter data, the target parameter data is the parameter data corresponding to the target room, and the parameter data comprises an indoor air heat exchange coefficient of the target room at the current moment, an indoor and outdoor total thermal resistance of the target room at the current moment and a thermal load of the target room at the current moment;
step S103, inputting the actual environment data, the operation data and the target parameter data into an equivalent thermal parameter model of the target room to obtain the indoor predicted temperature at the next moment;
and a step S104 of controlling the air conditioning operation based on at least the predicted indoor temperature, the desired indoor temperature, and a predetermined threshold value, the predetermined threshold value being a deviation threshold value between the predicted indoor temperature and the desired indoor temperature, and the desired indoor temperature being the desired indoor temperature at the next time.
In the control method of the air conditioner, firstly, actual environment data and operation data of the air conditioner are obtained, wherein the actual environment data comprise the indoor temperature and the outdoor temperature of a target room where the air conditioner is located at the current moment, and the operation data comprise capacity output such as refrigerating capacity and/or heating capacity; then determining target parameter data of the target room at least according to the volume of the target room and the preset corresponding relation between different room volumes and the parameter data, wherein the target parameter data comprises the indoor air heat exchange coefficient at the current moment, the indoor and outdoor total thermal resistance at the current moment and the thermal load at the current moment; inputting the data into an equivalent thermal parameter model of a target room to obtain the indoor predicted temperature at the next moment of the current moment; and finally, controlling the air conditioner to operate at least according to the indoor predicted temperature, the expected temperature and a deviation threshold value between the indoor predicted temperature and the expected temperature. According to the method and the device, the predicted indoor temperature is obtained by inputting the actual environmental data, the operation data and the target parameter data of the air conditioner into the equivalent thermal parameter model of the room where the air conditioner is located, and the operation of the air conditioner is controlled according to the predicted indoor temperature, the expected indoor temperature and the deviation threshold value between the predicted indoor temperature and the expected indoor temperature, so that the self-adaptive control of the room temperature is realized, and the problem that the temperature of the room where the air conditioner is located cannot be subjected to self-adaptive control in the prior art is effectively solved.
It should be noted that the total indoor and outdoor thermal resistances are obtained from the indoor air thermal resistance, the outdoor air thermal resistance and the wall thermal resistance of the target room, and the wall thermal resistance may be an average value of thermal resistances corresponding to walls made of different materials in the market.
According to a specific embodiment of the present application, before inputting the actual environmental data, the operating data, and the target parameter data into the equivalent thermal parameter model of the target room, the method further includes: establishing an initial equivalent thermal parameter model
Figure BDA0003771071610000061
Wherein, C in-space Is the heat exchange coefficient of the indoor air of the room, T in Is the room temperature of the room, K C Total indoor and outdoor thermal resistance, T, of the above-mentioned room out Is the outdoor temperature of the room, Q AC For capacity output of the above-mentioned air conditioner, Q Others are As is the thermal load in the room in question,
Figure BDA0003771071610000062
the temperature change rate in the room within the sampling time delta t is obtained; and carrying out differential solution on the initial equivalent thermal parameter model to obtain the equivalent thermal parameter model. By establishing an initial equivalent thermal parameter model of a plurality of parameters including indoor air heat exchange coefficient, indoor temperature, indoor and outdoor total thermal resistance, outdoor temperature, capacity output, thermal load, temperature change rate in the room in sampling time and the like, and then carrying out differential solution on the initial equivalent thermal parameter model, the equivalent thermal parameter model which can accurately reflect the thermal parameters of the target room is ensured to be obtained, and accurate model basis is provided for subsequent solution of indoor predicted temperature and realization of adaptive control of room temperature.
In order to further ensure that the equivalent thermal parameter model is accurately constructed, according to another specific embodiment of the present application, the differentiating the initial equivalent thermal parameter model to obtain the equivalent thermal parameter model includes: carrying out differential solution on the initial equivalent thermal parameter model to obtain the equivalent thermal parameter model
Figure BDA0003771071610000063
Wherein, K 1 、K 2 、K 3 And K 4 The calculation formula of (a) is as follows:
Figure BDA0003771071610000064
Figure BDA0003771071610000065
Figure BDA0003771071610000066
Figure BDA0003771071610000071
k and (K + 1) are two adjacent time points, K C (k)、C in-space (k)、T in (k)、T out (k)、Q AC (k) And Q Others (k) K at time K respectively C 、C in-space 、T in 、T out 、Q AC And Q Others ，T out (k+1)、Q AC (k + 1) and Q Others are (k + 1) is T at the time of (k + 1), respectively out 、Q AC And Q Others . The initial equivalent thermal parameter model is dispersed to realize differential solution, and the obtained equivalent thermal parameter model is further ensured to meet the precision requirement, so that the indoor predicted temperature obtained according to the equivalent thermal parameter model is further ensured to be more accurate, and further, the accurate adaptive control of the air conditioner is further realized.
The above-mentioned method for obtaining the equivalent thermal parameter model by performing differential solution on the initial equivalent thermal parameter model may be any suitable method for solving an ordinary differential equation in the prior art, such as a fourth-order longge-kutta method, a first-time integration method, a constant variation method, an initial-equal integration method, an introduction variable method, and the like, and those skilled in the art may flexibly select the method according to actual accuracy requirements. In a specific embodiment, the initial equivalent thermal parameter model is subjected to differential solution by adopting a fourth-order Runge-Kutta method.
In an actual application process, part of parameter values in an equivalent thermal parameter model of a building to which an air conditioner belongs are closely related to factors such as the volume of the building and cannot be obtained through measurement, and in this case, in order to further ensure that an indoor predicted temperature obtained according to the equivalent thermal parameter model is accurate, in another specific embodiment of the present application, target parameter data is determined at least according to a target room volume and a predetermined corresponding relationship, and the method includes: according to the preset deviation value and the indoor temperature at the time k and
Figure BDA0003771071610000072
determining an estimated value of the indoor predicted temperature at time k, wherein,
Figure BDA0003771071610000073
an estimate of the above-mentioned indoor predicted temperature at time k, T in-i (k) The above-mentioned indoor temperature upsilon at the time of k k Setting the deviation value as the preset deviation value; establishing a room parameter identification model
Figure BDA0003771071610000074
Wherein x is k A state vector at time k, the state vector including the parameter data and the estimated value at time k; acquiring a data set, wherein the data set comprises initial parameter data corresponding to different room volumes, and the initial parameter data is the parameter data at a preset initial moment; inputting the data set into the room parameter identification model to obtain the preset corresponding relation;
and setting the parameter data corresponding to the room volume equal to the target room volume in the predetermined correspondence relationship as the target parameter data. By establishing a room parameter identification model, acquiring a data set comprising initial parameter data corresponding to different room volumes, and inputting the data set into the room parameter identification model, the corresponding relation between different room volumes and parameter data is obtained, and the influence of different room volumes on the parameter data in the equivalent thermal parameter model is fully considered, so that the obtained target parameter data is more accurate and is more matched with the target room.
Specifically, the preset deviation value v k The fixed amount or the variable amount can be selected from-3 deg.C and 3 deg.C]. Of course, the preset deviation value is not limited to the above range, and those skilled in the art can flexibly set the value range according to actual situations.
In the operation process of the air conditioner, the real-time capacity output of the air conditioner in the use process cannot be obtained through testing, and in this case, in order to further ensure the operation data which is obtained more accurately and simply, according to another embodiment of the present application, the operation data is obtained, which includes: acquiring initial working parameters of the air conditioner, corresponding capacity output and corresponding output power of the air conditioner, wherein the initial working parameters are working parameters at an initial moment, and the working parameters comprise compressor frequency, opening of an electronic expansion valve, rotating speed of an inner fan and rotating speed of an outer fan; acquiring current working parameters of the air conditioner, wherein the current working parameters are the working parameters at the current moment; and predicting the capacity output corresponding to the current moment and the output power of the air conditioner respectively according to the initial working parameters, the capacity output corresponding to the initial working parameters, the output power corresponding to the initial working parameters and the current working parameters to obtain the operation data. In this embodiment, the capacity output at the current time and the output power at the current time are obtained through prediction according to the initial operating parameter, the capacity output corresponding to the initial operating parameter, the output power corresponding to the initial operating parameter, and the current operating parameter, so that the problem that the actual capacity output and the actual output power cannot be obtained in the air conditioner using process in the prior art is solved, and the subsequent air conditioner adaptive control is further facilitated.
Specifically, the initial time is an air conditioner starting time. In the actual application process, the actual environment data of the air conditioner is acquired, and the method comprises the following steps: acquiring the outdoor temperature detected by the outer ring temperature sensing bulb; and acquiring the indoor temperature detected by the inner ring temperature sensing bulb.
In a specific embodiment of the present application, the compressor frequency F at the initial moment is 0 According to the indoor temperature T at the initial moment in-0 And setting a temperature value T by a user Setting up Determined, wherein the set and actual temperature difference Δ T in the cooling mode C0 ＝ (T in-0 -T Setting up ) Delta T temperature difference between set and actual temperature in heating mode H0 ＝(T Setting up -T in-0 ). Compressor frequency at initial time and indoor temperature T at initial time in cooling mode and heating mode in-0 And setting a temperature value T by a user Setting up The correspondence tables of (a) are shown in table 1 and table 2, respectively.
TABLE 1
Figure BDA0003771071610000081
Wherein: t is in-C1 、T in-C2 ∈[0，60℃]Removable T in-C1 At 20 ℃ and T in-C2 Is at 30 ℃; delta T C0-1 、△T C0-2 、△ T C0-3 ∈[-10℃，30℃]Preferably, may take a Δ T C0-1 At 8 ℃ and. Delta.T C0-2 At 6 ℃ and. Delta.T C0-3 At 4 ℃ and. Delta.T C0-2 Is 1 ℃; f 0-Cii ∈[0，130Hz]The frequency of the compressor corresponding to the initial time is larger along with the rise of the indoor temperature under the same temperature difference as a fixed set value or a corresponding calculated value; the lower the required compressor frequency at the initial moment with decreasing temperature difference at the same room temperature. When the compressor frequency values in table 1 take the same values, then the refrigeration is run at the same fixed initial frequency.
TABLE 2
Figure BDA0003771071610000091
Wherein: t is a unit of in-H1 、T in-H2 ∈[-10，60℃]Removable T in-H1 At 10 ℃ C, T in-H2 Is 20 ℃; delta T H0-1 、△T H0-2 、 △T H0-3 ∈[-10℃，30℃]Preferably, may take a Δ T H0-1 At 8 ℃ and. Delta.T H0-2 At 6 ℃ and. Delta.T H0-3 At 4 ℃ and. Delta. T H0-2 Is 1 ℃; f 0-Hii ∈[0，130Hz]The frequency of the compressor at the initial moment is smaller along with the rise of the indoor temperature under the same temperature difference as a fixed set value or a corresponding calculated value; the lower the required compressor frequency at the initial moment, with decreasing temperature difference at the same indoor temperature. When the compressor frequency values in table 1 are taken to be the same, heating is run at the same fixed initial frequency.
In another specific embodiment of the present application, the controlling the operation of the air conditioner according to at least the indoor predicted temperature, the desired temperature, and the predetermined threshold includes: calculating an optimum solution including an optimum compressor frequency, an optimum electronic expansion valve opening degree, an optimum inner fan rotation speed, and an optimum outer fan rotation speed, under the same capacity output, with the minimum output power as an objective function, and with a constraint condition that a deviation amount between the desired temperature and the indoor predicted temperature is smaller than the predetermined threshold value; and controlling the air conditioner to operate according to the parameters corresponding to the optimal solution. Under the same output capacity, the minimum output power is taken as a target function, the optimal value of the air conditioner operation parameter is calculated, the air conditioner is controlled to operate at the optimal value, the correction control of the output capacity of the air conditioner is realized, and the energy-saving self-adaptive control of the air conditioner is ensured.
The opening degree of the electronic expansion valve at the initial time is based on the compressor frequency F at the initial time 0 And the outdoor temperature T at the initial time out And (4) determining. The specific relation of the three is as follows:
P 0 ＝U(F 0 ，T out )
the relation U (x) may be a binary linear function or a binary multiple function.
The PRM of the external fan at the initial time 0-outer According to the above-mentioned initial timeFrequency F of the compressor 0 And the outdoor temperature T of the initial time out And (4) determining. Tables of the correspondence relationships among the external fan rotational speed at the initial time, the compressor frequency at the initial time, and the outdoor temperature at the initial time in the cooling mode and the heating mode are shown in table 3 and table 4, respectively.
TABLE 3
Figure BDA0003771071610000092
Figure BDA0003771071610000101
Wherein, F Ci The frequency of the compressor at the initial moment in the range of the upper limit and the lower limit in the refrigeration mode is in the value range of 0, 130Hz]May take F C1 Is 10Hz, F C2 Is 20Hz, F Cn 120Hz, namely, the division is performed by taking 10Hz as an interval; t is a unit of out-Ci The value of the outdoor temperature in the refrigeration mode is in the range of 0 and 80 DEG C]Can take T out-C1 At 30 ℃ T out-C2 At 45 ℃ and T out-C3 Is 50 ℃; RPM 0-exo-Cii ∈[0，1500Rpm]The rotating speed of the external fan is higher along with the increase of the frequency of the compressor at the initial moment under the same outdoor environment for fixing a set value or a corresponding calculated value; the lower the required initial external fan speed at the same compressor frequency as the outdoor temperature decreases. When the rotating speed values of the outer fans in table 3 are the same, the air conditioner operates at the same fixed initial frequency in the cooling mode.
TABLE 4
Figure BDA0003771071610000102
Wherein, F Hi The frequency of the compressor at the initial moment in the range of the upper limit and the lower limit in the heating mode is in the range of 0, 130Hz]May take F H1 Is 10Hz, F H2 Is 20Hz, F Hn Is 120Hz, namely, 10Hz is used as an interval for dividing; t is out-Hi The outdoor temperature in the heating mode is in the range of minus 40 ℃ and 30 DEG C]Can take T out-H1 At 10 ℃ T out-H2 At 0 ℃ and T out-H3 Is-10 ℃; RPM 0-Exo-Hii ∈[0，1500Rpm]The rotating speed of the external fan is higher along with the increase of the compressor frequency at the initial moment under the same outdoor temperature as a fixed set value or a corresponding calculated value; the required outer fan speed at the initial moment is higher as the outdoor temperature decreases for the same compressor frequency. When the compressor rotation speed values in table 4 are the same, the air conditioner operates at the same fixed initial frequency in the heating mode.
The rotating speed of the inner fan at the initial moment is the rotating speed value of the inner fan set by a user at the starting moment.
In a specific embodiment, the method runs for t0 time according to initial parameters, and performs initial output capacity prediction Q0 corresponding to actuator control parameters and room temperature prediction values according to a room thermal model, a parameter identification model and a capacity prediction model in t0 time
Figure BDA0003771071610000103
According to predicted value of room
Figure BDA0003771071610000104
Correcting the air conditioning capacity output by deviation value of the room target temperature control curve temperature value, wherein
The capability prediction model for predicting the capability output corresponding to the current time is specifically Q = F (F, RPM) Inner part ，RPM Outer cover ，T in ， T out ) (ii) a The power prediction model for predicting the output power corresponding to the current time is specifically P = y (F, RPM) Inner part ，RPM Outer cover ，T in ， T out )。
In a specific embodiment, the expected temperature varies with time, and the specific relation of the expected temperature varies with time is as follows:
Figure BDA0003771071610000111
wherein, T Stabilization A, b, c, d, e, f, g and T at the desired temperature Stabilization of Are all preset fixed values.
According to another specific embodiment of the present application, determining target parameter data at least according to a target room volume and a predetermined correspondence includes determining, according to the target room volume and the predetermined correspondence, that the parameter data corresponding to a room volume that is the same as the target room volume in the predetermined correspondence is the target parameter data.
In another specific embodiment, the controlling the air conditioning operation according to at least the indoor predicted temperature, the desired temperature and the predetermined threshold includes: obtaining a difference value between the expected temperature and the indoor predicted temperature to obtain an actual difference value; increasing at least one of the compressor frequency, the opening of the electronic expansion valve, the rotation speed of the inner fan, and the rotation speed of the outer fan of the target air conditioner when the actual difference is greater than or equal to the second threshold; controlling the compressor frequency, the opening degree of the electronic expansion valve, the rotation speed of the inner fan and the rotation speed of the outer fan of the target air conditioner to be kept unchanged when the actual difference value is greater than or equal to the first threshold value and less than the second threshold value; and reducing at least one of the compressor frequency, the electronic expansion valve opening degree, the inner fan rotation speed, and the outer fan rotation speed of the target air conditioner when the actual difference is smaller than the first threshold. When the actual difference is larger than or equal to the second threshold, the capacity output of the air conditioner is increased if the capacity output of the air conditioner is smaller; when the actual difference value is greater than or equal to the first threshold value and less than the second threshold value, the capacity output of the air conditioner is appropriate at the moment, and the current state is maintained; if the actual difference is smaller than the first threshold, the capacity output of the air conditioner is adjusted to be smaller if the capacity output of the air conditioner is larger.
In a specific embodiment, the first threshold may be in the range of [ -3 ℃,0 ℃ ], the first threshold may be in the range of-1 ℃, the second threshold may be in the range of [0 ℃,3 ℃ ], and the second threshold may be in the range of 1 ℃.
Specifically, the air conditioning control flow of the present application is shown in fig. 2. After the air conditioner is started, executing initial action according to user setting and internal setting; obtaining indoor predicted temperature through an equivalent thermal parameter model, a parameter identification model and a capability output/output power prediction model; and finally, controlling the air conditioner according to the expected temperature and the indoor predicted temperature, forming closed-loop control, and realizing the self-adaptive control of the air conditioner.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than here.
The embodiment of the present application further provides a control device for an air conditioner, and it should be noted that the control device for an air conditioner according to the embodiment of the present application may be used to execute the control method for an air conditioner provided in the embodiment of the present application. The following describes a control device for an air conditioner according to an embodiment of the present application.
Fig. 3 is a schematic diagram of a control apparatus of an air conditioner according to an embodiment of the present application. As shown in fig. 3, the apparatus includes an obtaining unit 10, a determining unit 20, an input unit 30 and a control unit 40, wherein the obtaining unit 10 is configured to obtain actual environment data of an air conditioner and operation data, the actual environment data includes an indoor temperature and an outdoor temperature at a current time, the operation data includes a capacity output of the air conditioner at the current time, and the capacity output includes a cooling capacity and/or a heating capacity; the determining unit 20 is configured to determine target parameter data according to at least a target room volume and a predetermined corresponding relationship, where the target room is a room where the air conditioner is located, the target room volume is a volume of the target room, the predetermined corresponding relationship is a corresponding relationship between different room volumes and parameter data, the target parameter data is the parameter data corresponding to the target room, and the parameter data includes an indoor air heat exchange coefficient of the target room at the current time, an indoor-outdoor total thermal resistance of the target room at the current time, and a thermal load of the target room at the current time; the input unit 30 is configured to input the actual environment data, the operation data, and the target parameter data into an equivalent thermal parameter model of the target room, so as to obtain an indoor predicted temperature at a next moment; the control unit 40 is configured to control the air conditioning operation based on at least the predicted indoor temperature, a desired indoor temperature, and a predetermined threshold value, which is a deviation threshold value between the predicted indoor temperature and the desired indoor temperature.
In the control device of the air conditioner, the obtaining unit obtains actual environment data and operation data of the air conditioner, the actual environment data includes an indoor temperature and an outdoor temperature of a target room where the air conditioner is located at the current time, and the operation data includes capacity outputs such as a cooling capacity and/or a heating capacity; determining target parameter data of the target room at least according to the volume of the target room and the preset corresponding relation between different room volumes and parameter data by the determining unit, wherein the target parameter data comprise the indoor air heat exchange coefficient at the current moment, the indoor and outdoor total heat resistance at the current moment and the heat load at the current moment; inputting the data into an equivalent thermal parameter model of a target room through the input unit to obtain an indoor predicted temperature at the next moment of the current moment; and controlling the air conditioner to operate by the control unit at least according to the indoor predicted temperature, the expected temperature and a deviation threshold value between the indoor predicted temperature and the expected temperature. According to the method and the device, the predicted indoor temperature is obtained by inputting the actual environmental data, the operation data and the target parameter data of the air conditioner into the equivalent thermal parameter model of the room where the air conditioner is located, and the operation of the air conditioner is controlled according to the predicted indoor temperature, the expected indoor temperature and the deviation threshold value between the predicted indoor temperature and the expected indoor temperature, so that the self-adaptive control of the room temperature is realized, and the problem that the self-adaptive control of the temperature of the room where the air conditioner is located in the prior art cannot be effectively solved.
It should be noted that the total indoor and outdoor thermal resistances are obtained from the indoor air thermal resistance, the outdoor air thermal resistance and the wall thermal resistance of the target room, and the wall thermal resistance may be an average value of thermal resistances corresponding to walls made of different materials in the market.
According to a specific embodiment of the present application, the apparatus further comprises a building unit and a differentiating unit, wherein the building unit is configured to build an initial equivalent thermal parameter model before inputting the actual environment data, the operating data and the target parameter data into the equivalent thermal parameter model of the target room
Figure BDA0003771071610000121
Wherein, C in-space Is the heat exchange coefficient of the indoor air of a room, T in Is the room temperature of the room, K C Total indoor and outdoor thermal resistance, T, of the above-mentioned room out Is the outdoor temperature, Q, of the room AC For the capacity output of the air conditioner, Q Others For the purpose of the heat load in the room as described above,
Figure BDA0003771071610000122
the temperature change rate in the room within the sampling time delta t is obtained; and the differential unit is used for carrying out differential solution on the initial equivalent thermal parameter model to obtain the equivalent thermal parameter model. By establishing an initial equivalent thermal parameter model of a plurality of parameters including indoor air heat exchange coefficient, indoor temperature, indoor and outdoor total thermal resistance, outdoor temperature, capacity output, thermal load, temperature change rate in the room in sampling time and the like, and then carrying out differential solution on the initial equivalent thermal parameter model, the equivalent thermal parameter model which can accurately reflect the thermal parameters of a target room is ensured to be obtained, and accurate model basis is provided for subsequent solution of indoor predicted temperature and realization of adaptive control of the room temperature.
In order to further ensure that the equivalent thermal parameter model is more accurately constructed, according to another specific embodiment of the present application, the differentiation unit includes a differentiation module, and the differentiation module is configured to perform differential solution on the initial equivalent thermal parameter model to obtain the equivalent thermal parameter model
Figure BDA0003771071610000131
The calculation formula of (a) is as follows:
Figure BDA0003771071610000132
Figure BDA0003771071610000133
Figure BDA0003771071610000134
Figure BDA0003771071610000135
k and (K + 1) are two adjacent time points, K C (k)、C in-space (k)、T in (k)、T out (k)、Q AC (k) And Q Others (k) K at time K respectively C 、C in-space 、T in 、T out 、Q AC And Q Others ，T out (k+1)、Q AC (k + 1) and Q Others are (k + 1) is T at the time of (k + 1), respectively out 、Q AC And Q Others . The initial equivalent thermal parameter model is dispersed to realize differential solution, and the obtained equivalent thermal parameter model is further ensured to meet the precision requirement, so that the indoor predicted temperature obtained according to the equivalent thermal parameter model is further ensured to be more accurate, and further, the accurate adaptive control of the air conditioner is further realized.
The above-mentioned method for obtaining the equivalent thermal parameter model by performing differential solution on the initial equivalent thermal parameter model may be any suitable method for solving an ordinary differential equation in the prior art, such as a fourth-order longge-kutta method, a first-time integration method, a constant variation method, an initial-equal integration method, an introduction variable method, and the like, and those skilled in the art may flexibly select the method according to actual accuracy requirements. In a specific embodiment, the initial equivalent thermal parameter model is subjected to differential solution by adopting a fourth-order Runge-Kutta method.
In an actual application process, a part of parameter values in an equivalent thermal parameter model of a building to which an air conditioner belongs are closely related to factors such as a volume of the building and cannot be obtained through measurement, and in this case, in order to further ensure that an indoor predicted temperature obtained according to the equivalent thermal parameter model is accurate, in another specific embodiment of the present application, the determining unit includes a first determining module, a building module, a first obtaining module, an input module, and a serving module, wherein the first determining module is configured to obtain the indoor temperature at the time k and the indoor predicted temperature at the time k according to a preset deviation value
Figure RE-GDA0003961800240000141
Determining an estimated value of the indoor predicted temperature at time k, wherein,
Figure RE-GDA0003961800240000142
an estimate of the above-mentioned indoor predicted temperature at time k, T in-i (k) The above-mentioned indoor temperature upsilon at the time of k k Setting the deviation value for the preset value; the establishing module is used for establishing a room parameter identification model
Figure RE-GDA0003961800240000143
Wherein x is k A state vector at time k, the state vector including the parameter data and the estimated value at time k; the first obtaining module is configured to obtain a data set, where the data set includes initial parameter data corresponding to different room volumes, and the initial parameter data is presetThe parameter data at the initial time of (a); the input module is used for inputting the data set into the room parameter identification model to obtain the preset corresponding relation; the processing module is configured to use the parameter data corresponding to the room volume equal to the target room volume in the predetermined correspondence relationship as the target parameter data. By establishing a room parameter identification model, acquiring a data set comprising initial parameter data corresponding to different room volumes, and inputting the data set into the room parameter identification model, the corresponding relation between the different room volumes and the parameter data is obtained, and the influence of the different room volumes on the parameter data in the equivalent thermal parameter model is fully considered, so that the obtained target parameter data are more accurate and are more matched with the target room.
Specifically, the preset deviation value v k The fixed amount or the variable amount can be selected from-3 deg.C and 3 deg.C]. Of course, the preset deviation value is not limited to the above range, and those skilled in the art can flexibly set the value range according to actual situations.
In order to further ensure that the real-time capacity output of the air conditioner in the use process cannot be obtained through testing in the operation process of the air conditioner, in this case, in order to further ensure that the operation data can be obtained more accurately and simply, according to still another embodiment of the present application, the obtaining unit includes a second obtaining module, a third obtaining module and a prediction module, wherein the second obtaining module is configured to obtain an initial working parameter of the air conditioner, a corresponding capacity output and a corresponding output power of the air conditioner, the initial working parameter is a working parameter at an initial time, and the working parameter includes a compressor frequency, an electronic expansion valve opening degree, an inner fan rotating speed and an outer fan rotating speed; the third obtaining module is configured to obtain a current working parameter of the air conditioner, where the current working parameter is the working parameter at the current time; the prediction module is configured to predict the capacity output corresponding to the current time and the output power of the air conditioner according to the initial operating parameter, the capacity output corresponding to the initial operating parameter, the output power corresponding to the initial operating parameter, and the current operating parameter, respectively, to obtain the operating data. In this embodiment, the capability output at the current time and the output power at the current time are obtained by prediction according to the initial working parameter, the capability output corresponding to the initial working parameter, the output power corresponding to the initial working parameter, and the current working parameter, so that the problem that the actual capability output and the actual output power of the air conditioner cannot be obtained in the using process of the air conditioner in the prior art is solved, and the subsequent adaptive control of the air conditioner is further facilitated.
Specifically, the initial time is an air conditioner starting time. In an actual application process, the acquiring unit further includes a fourth acquiring module and a fifth acquiring module, where the fourth acquiring module is configured to acquire the outdoor temperature detected by the outer-ring thermal bulb; the fifth acquiring module is used for acquiring the indoor temperature detected by the inner ring temperature sensing bulb.
In a specific embodiment of the present application, the compressor frequency F at the initial moment is 0 Is based on the indoor temperature T at the initial moment in-0 And setting a temperature value T by a user Setting up Determined, wherein the set and actual temperature difference Δ T in the cooling mode C0 ＝ (T in-0 -T Setting up ) Delta T temperature difference between set and actual temperature in heating mode H0 ＝(T Setting up -T in-0 ). Compressor frequency at initial time and indoor temperature T at initial time in cooling mode and heating mode in-0 And setting a temperature value T by a user Setting up The correspondence tables of (a) are shown in table 1 and table 2, respectively.
Wherein: t is a unit of in-C1 、T in-C2 ∈[0，60℃]Removable T in-C1 At 20 ℃ and T in-C2 Is 30 ℃; delta T C0-1 、△T C0-2 、△ T C0-3 ∈[-10℃，30℃]Preferably, may take a Δ T C0-1 At 8 ℃ and. Delta.T C0-2 At 6 ℃ and. Delta. T C0-3 At 4 ℃ and. Delta.T C0-2 Is 1 ℃; f 0-Cii ∈[0，130Hz]The temperature difference is a fixed set value or a corresponding calculated value, and the initial time corresponds to the rising of the indoor temperature under the same temperature differenceThe greater the compressor frequency of (a); the lower the required compressor frequency at the initial moment, with decreasing temperature difference at the same indoor temperature. When the compressor frequency values in table 1 take the same value, then the refrigeration is run at the same fixed initial frequency.
Wherein: t is in-H1 、T in-H2 ∈[-10，60℃]Can take T in-H1 At 10 ℃ T in-H2 Is 20 ℃; delta T H0-1 、△T H0-2 、 △T H0-3 ∈[-10℃，30℃]Preferably Δ T H0-1 At 8 ℃ and. Delta.T H0-2 At 6 ℃ and. Delta.T H0-3 At 4 ℃ and. Delta.T H0-2 Is 1 ℃; f 0-Hii ∈[0，130Hz]The frequency of the compressor at the initial moment is smaller along with the rise of the indoor temperature under the same temperature difference as a fixed set value or a corresponding calculated value; the lower the required compressor frequency at the initial moment, with decreasing temperature difference at the same indoor temperature. When the compressor frequency values in table 1 are taken to be the same, heating is run at the same fixed initial frequency.
In another specific embodiment of the present application, the control unit includes a calculation module and a first control module, wherein the calculation module is configured to calculate an optimal solution by using a constraint condition that a deviation between the desired temperature and the indoor predicted temperature is smaller than the predetermined threshold value as a target function when the output power is minimum under the same output capacity, and the optimal solution includes an optimal compressor frequency, an optimal opening degree of the electronic expansion valve, an optimal inner fan rotation speed, and an optimal outer fan rotation speed; the first control module is used for controlling the air conditioner to operate according to the parameters corresponding to the optimal solution. Under the condition of same capacity output, the minimum output power is taken as an objective function, the optimal value of the air conditioner operation parameter is calculated, and the air conditioner is controlled to operate with the optimal value, so that the correction control of the air conditioner output capacity is realized, and the energy-saving self-adaptive control of the air conditioner is ensured.
The opening degree of the electronic expansion valve at the initial time is based on the compressor frequency F at the initial time 0 And the outdoor temperature T at the initial time out And (4) determining. The specific relation of the three is as follows:
P 0 ＝U(F 0 ，T out )
the relation U (x) may be a binary linear function or a binary multiple function.
The external fan rotating speed PRM at the initial moment 0-outer According to the compressor frequency F of the initial moment 0 And the outdoor temperature T at the initial time out And (4) determining. Tables showing the correspondence among the number of revolutions of the external fan at the initial time, the frequency of the compressor at the initial time, and the outdoor temperature at the initial time in the cooling mode and the heating mode are shown in tables 3 and 4, respectively.
Wherein, F Ci The frequency of the compressor at the initial moment in the range of the upper limit and the lower limit in the refrigeration mode is in the value range of 0, 130Hz]May take F C1 Is 10Hz, F C2 Is 20Hz, F Cn 120Hz, namely, the division is performed by taking 10Hz as an interval; t is a unit of out-Ci The outdoor temperature in the refrigeration mode is in the value range of 0 to 80 DEG C]Can take T out-C1 At 30 ℃ T out-C2 At 45 ℃ and T out-C3 Is 50 ℃; RPM 0-exo-Cii ∈[0，1500Rpm]The rotating speed of the external fan is higher along with the increase of the compressor frequency at the initial moment under the same outdoor environment; the lower the required initial external fan speed at the same compressor frequency as the outdoor temperature decreases. When the rotating speed values of the outer fans in table 3 are the same, the air conditioner operates at the same fixed initial frequency in the cooling mode.
Wherein, F Hi The frequency of the compressor at the initial moment in the range of the upper limit and the lower limit in the heating mode is in the range of 0, 130Hz]Is desirable F H1 Is 10Hz, F H2 Is 20Hz, F Hn Is 120Hz, namely, 10Hz is used as an interval for dividing; t is out-Hi The outdoor temperature in the heating mode is selected from the range of minus 40 ℃ and 30 DEG C]Removable T out-H1 At 10 ℃ T out-H2 At 0 ℃ and T out-H3 Is-10 ℃; RPM 0-exo-Hii ∈[0，1500Rpm]At a fixed set value or a corresponding calculated value, at the same outdoor temperature, as early asThe higher the compressor frequency at the beginning, the higher the outer fan rotating speed; the required outer fan speed at the initial moment is higher as the outdoor temperature decreases for the same compressor frequency. When the compressor rotation speed values in table 4 are the same, the air conditioner operates at the same fixed initial frequency in the heating mode.
The rotating speed of the inner fan at the initial moment is the rotating speed value of the inner fan set by a user at the starting moment.
In a specific embodiment, the method runs for t0 time according to initial parameters, and performs initial output capacity prediction Q0 corresponding to actuator control parameters and room temperature prediction values according to a room thermal model, a parameter identification model and a capacity prediction model in t0 time
Figure BDA0003771071610000162
According to the predicted value of the room
Figure BDA0003771071610000163
Correcting the air conditioning capacity output by deviation value of the room target temperature control curve temperature value, wherein
The capability prediction model for predicting the capability output corresponding to the current time is specifically Q = F (F, RPM) Inner part ，RPM Outer cover ，T in ， T out ) (ii) a The power prediction model for predicting the output power corresponding to the current time is specifically P = y (F, RPM) Inner part ，RPM Outer cover ，T in ， T out )。
In a specific embodiment, the expected temperature varies with time, and the specific relation of the expected temperature varies with time is as follows:
Figure BDA0003771071610000161
wherein, T Stabilization of A, b, c, d, e, f, g and T at the desired temperature Stabilization Are all preset fixed values.
According to another specific embodiment of the present application, the determining unit includes a second determining module, and the second determining module is configured to determine, according to the target room volume and a predetermined corresponding relationship, that the parameter data corresponding to a room volume that is the same as the target room volume in the predetermined corresponding relationship is the target parameter data.
In another specific embodiment, the predetermined threshold includes a first threshold and a second threshold, the first threshold is smaller than the second threshold, and the control unit includes a sixth obtaining module, an increasing module, a second control module, and a decreasing module, where the sixth obtaining module is configured to obtain a difference between the desired temperature and the indoor predicted temperature to obtain an actual difference; the increasing module is configured to increase at least one of the compressor frequency, the opening of the electronic expansion valve, the rotation speed of the inner fan, and the rotation speed of the outer fan of the target air conditioner when the actual difference value is greater than or equal to the second threshold; the second control module is configured to control the compressor frequency, the opening of the electronic expansion valve, the rotation speed of the inner fan, and the rotation speed of the outer fan of the target air conditioner to be constant when the actual difference is greater than or equal to the first threshold and smaller than the second threshold; the reducing module is configured to reduce at least one of the compressor frequency, the electronic expansion valve opening degree, the inner fan rotation speed, and the outer fan rotation speed of the target air conditioner when the actual difference is smaller than the first threshold. Under the condition that the actual difference value is larger than or equal to the second threshold value, the capacity output of the air conditioner is increased when the capacity output of the air conditioner is smaller; when the actual difference is greater than or equal to the first threshold and smaller than the second threshold, the capacity output of the air conditioner is appropriate at the moment, and the current state is maintained; and if the actual difference is smaller than the first threshold, the capacity output of the air conditioner is adjusted to be smaller if the capacity output of the air conditioner is larger.
In a specific embodiment, the first threshold may be in the range of [ -3 ℃,0 ℃ ], the first threshold may be in the range of-1 ℃, the second threshold may be in the range of [0 ℃,3 ℃ ], and the second threshold may be in the range of 1 ℃.
The control device of the air conditioner comprises a processor and a memory, wherein the acquisition unit, the determination unit, the input unit, the control unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the problem that the temperature of a room where the air conditioner is located cannot be controlled in a self-adaptive mode in the prior art is solved by adjusting kernel parameters.
The memory may include volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a computer-readable storage medium having a program stored thereon, the program implementing the control method of the air conditioner described above when being executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the control method of the air conditioner is executed when the program runs.
An embodiment of the present invention provides an apparatus, where the apparatus includes a processor, a memory, and a program that is stored in the memory and is executable on the processor, and when the processor executes the program, at least the following steps are implemented:
step S101, acquiring actual environment data and operation data of an air conditioner, wherein the actual environment data comprises an indoor temperature and an outdoor temperature at the current moment, the operation data comprises capacity output of the air conditioner at the current moment, and the capacity output comprises refrigerating capacity and/or heating capacity;
step S102, determining target parameter data at least according to a target room volume and a preset corresponding relation, wherein the target room is a room where the air conditioner is located, the target room volume is the volume of the target room, the preset corresponding relation is a corresponding relation between different room volumes and parameter data, the target parameter data is the parameter data corresponding to the target room, and the parameter data comprises an indoor air heat exchange coefficient of the target room at the current moment, an indoor and outdoor total heat resistance of the target room at the current moment and a heat load of the target room at the current moment;
step S103, inputting the actual environment data, the operation data and the target parameter data into an equivalent thermal parameter model of the target room to obtain an indoor predicted temperature at the next moment;
and a step S104 of controlling the air conditioning operation based on at least the predicted indoor temperature, the desired indoor temperature, and a predetermined threshold value, the predetermined threshold value being a deviation threshold value between the predicted indoor temperature and the desired indoor temperature, and the desired indoor temperature being the desired indoor temperature at the next time.
The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program of initializing at least the following method steps when executed on a data processing device:
step S101, acquiring actual environment data and operation data of an air conditioner, wherein the actual environment data comprises an indoor temperature and an outdoor temperature at the current moment, the operation data comprises capacity output of the air conditioner at the current moment, and the capacity output comprises refrigerating capacity and/or heating capacity;
step S102, determining target parameter data at least according to a target room volume and a preset corresponding relation, wherein the target room is a room where the air conditioner is located, the target room volume is the volume of the target room, the preset corresponding relation is a corresponding relation between different room volumes and parameter data, the target parameter data is the parameter data corresponding to the target room, and the parameter data comprises an indoor air heat exchange coefficient of the target room at the current moment, an indoor and outdoor total thermal resistance of the target room at the current moment and a thermal load of the target room at the current moment;
step S103, inputting the actual environment data, the operation data and the target parameter data into an equivalent thermal parameter model of the target room to obtain the indoor predicted temperature at the next moment;
and a step S104 of controlling the air conditioning operation based on at least the predicted indoor temperature, the desired indoor temperature, and a predetermined threshold value, the predetermined threshold value being a deviation threshold value between the predicted indoor temperature and the desired indoor temperature, and the desired indoor temperature being the desired indoor temperature at the next time.
There is also provided, in accordance with yet another exemplary embodiment of the present application, an air conditioning system, including an air conditioner and a control device of the air conditioner, the control device including one or more processors, memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the above-described methods.
The air conditioning system comprises an air conditioner and a control device of the air conditioner, wherein the control device is used for executing any one of the methods. In the air conditioning system, the control device obtains the predicted indoor temperature by inputting the actual environmental data, the operation data and the target parameter data of the air conditioner into the equivalent thermal parameter model of the room where the air conditioner is located, and controls the air conditioner to operate according to the predicted indoor temperature, the expected indoor temperature and the deviation threshold value between the predicted indoor temperature and the expected indoor temperature, so that the self-adaptive control of the room temperature is realized, and the problem that the temperature of the room where the air conditioner is located in the prior art cannot be subjected to self-adaptive control is effectively solved.
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 above-described 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 may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be an indirect coupling or communication connection through some interfaces, units or modules, and may be electrical or in other forms.
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 may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. 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 above methods 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 various media capable of storing program codes.
From the above description, it can be seen that the above-described embodiments of the present application achieve the following technical effects:
1) In the control method of the air conditioner, firstly, actual environment data and operation data of the air conditioner are obtained, wherein the actual environment data comprise the indoor temperature and the outdoor temperature of a target room where the air conditioner is located at the current moment, and the operation data comprise capacity outputs such as refrigerating capacity and/or heating capacity; then determining target parameter data of the target room at least according to the volume of the target room and the preset corresponding relation between different room volumes and the parameter data, wherein the target parameter data comprises the indoor air heat exchange coefficient at the current moment, the indoor and outdoor total thermal resistance at the current moment and the thermal load at the current moment; inputting the data into an equivalent thermal parameter model of a target room to obtain the indoor predicted temperature at the next moment of the current moment; and finally, controlling the air conditioner to operate at least according to the indoor predicted temperature, the expected temperature and a deviation threshold value between the indoor predicted temperature and the expected temperature. According to the method and the device, the predicted indoor temperature is obtained by inputting the actual environment data, the operation data and the target parameter data of the air conditioner into the equivalent thermal parameter model of the room where the air conditioner is located, and the operation of the air conditioner is controlled according to the predicted indoor temperature, the expected indoor temperature and the deviation threshold value between the predicted indoor temperature and the expected indoor temperature, so that the self-adaptive control of the room temperature is realized, and the problem that the self-adaptive control of the temperature of the room where the air conditioner is located in the prior art cannot be effectively solved.
2) In the control device of the air conditioner, the obtaining unit obtains actual environment data and operation data of the air conditioner, wherein the actual environment data comprises indoor temperature and outdoor temperature of a target room where the air conditioner is located at the current moment, and the operation data comprises capacity output such as cooling capacity and/or heating capacity; determining target parameter data of the target room at least according to the target room volume and the preset corresponding relation between different room volumes and parameter data by the determining unit, wherein the target parameter data comprises an indoor air heat exchange coefficient at the current moment, indoor and outdoor total heat resistance at the current moment and a heat load at the current moment; inputting the data into an equivalent thermal parameter model of a target room through the input unit to obtain an indoor predicted temperature at the next moment of the current moment; and controlling the air conditioner to operate by the control unit at least according to the indoor predicted temperature, the expected temperature and a deviation threshold value between the indoor predicted temperature and the expected temperature. According to the method and the device, the predicted indoor temperature is obtained by inputting the actual environmental data, the operation data and the target parameter data of the air conditioner into the equivalent thermal parameter model of the room where the air conditioner is located, and the operation of the air conditioner is controlled according to the predicted indoor temperature, the expected indoor temperature and the deviation threshold value between the predicted indoor temperature and the expected indoor temperature, so that the self-adaptive control of the room temperature is realized, and the problem that the temperature of the room where the air conditioner is located cannot be controlled in a self-adaptive mode in the prior art is effectively solved.
3) The air conditioning system comprises an air conditioner and a control device of the air conditioner, wherein the control device is used for executing any one of the methods. In the air conditioning system, the control device obtains the predicted indoor temperature by inputting the actual environmental data, the operation data and the target parameter data of the air conditioner into the equivalent thermal parameter model of the room where the air conditioner is located, and controls the operation of the air conditioner according to the predicted indoor temperature, the expected indoor temperature and the deviation threshold value between the predicted indoor temperature and the expected indoor temperature, so that the self-adaptive control of the room temperature is realized, and the problem that the temperature of the room where the air conditioner is located cannot be subjected to self-adaptive control in the prior art is effectively solved.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (10)

1. A control method of an air conditioner, comprising:
acquiring actual environment data and operation data of an air conditioner, wherein the actual environment data comprises an indoor temperature and an outdoor temperature at the current moment, the operation data comprises capacity output of the air conditioner at the current moment, and the capacity output comprises refrigerating capacity and/or heating capacity;
determining target parameter data at least according to a target room volume and a preset corresponding relation, wherein the target room is a room where the air conditioner is located, the target room volume is the volume of the target room, the preset corresponding relation is the corresponding relation between different room volumes and parameter data, the target parameter data is the parameter data corresponding to the target room, and the parameter data comprises an indoor air heat exchange coefficient of the target room at the current moment, indoor and outdoor total heat resistance of the target room at the current moment and heat load of the target room at the current moment;
inputting the actual environment data, the operation data and the target parameter data into an equivalent thermal parameter model of the target room to obtain an indoor predicted temperature at the next moment;
and controlling the air conditioner to operate at least according to the indoor predicted temperature, the expected temperature and a preset threshold value, wherein the preset threshold value is a deviation threshold value between the indoor predicted temperature and the expected temperature.
2. The method of claim 1, wherein prior to inputting the actual environmental data, the operational data, and the target parametric data into the equivalent thermal parametric model of the target room, the method further comprises:
establishing an initial equivalent thermal parameter model
Figure FDA0003771071600000011
Wherein, C in-space Is the heat exchange coefficient of the indoor air of the room, T in Is the room temperature of the room, K C Is the total indoor and outdoor thermal resistance, T, of the room out Is the outdoor temperature of the room, Q AC For the capacity output of the air conditioner, Q Others are Is the heat load in the room in question,
Figure FDA0003771071600000012
is the rate of temperature change in the room over a sampling time Δ t;
and carrying out differential solution on the initial equivalent thermal parameter model to obtain the equivalent thermal parameter model.
3. The method of claim 2, wherein the differential solving of the initial equivalent thermal parameter model to obtain the equivalent thermal parameter model comprises:
carrying out differential solution on the initial equivalent thermal parameter model to obtain the equivalent thermal parameter model
Figure FDA0003771071600000013
Wherein, K 1 、K 2 、K 3 And K 4 The calculation formula of (c) is as follows:
Figure FDA0003771071600000014
Figure FDA0003771071600000021
Figure FDA0003771071600000022
Figure FDA0003771071600000023
k and (K + 1) are two adjacent time points, K C (k)、C in-space (k)、T in (k)、T out (k)、Q AC (k) And Q Others (k) K at time K respectively C 、C in-space 、T in 、T out 、Q AC And Q Others are ，T out (k+1)、Q AC (k + 1) and Q Others (k + 1) is T at the time of (k + 1), respectively out 、Q AC And Q Others are 。
4. A method according to claim 3, wherein determining target parameter data based on at least the target room volume and the predetermined correspondence comprises:
according to the preset deviation value and the indoor temperature at the moment k, and
Figure FDA0003771071600000024
determining an estimate of the indoor predicted temperature at time k, wherein,
Figure FDA0003771071600000025
an estimate of the indoor predicted temperature at time k, T in-i (k) The indoor temperature upsilon at time k k Setting the deviation value as the preset deviation value;
Figure FDA0003771071600000026
wherein x is k The state vector is a state vector at the moment k, and the state vector comprises the parameter data and the estimated value at the moment k;
acquiring a data set, wherein the data set comprises initial parameter data corresponding to different room volumes, and the initial parameter data is the parameter data at a preset initial moment;
inputting the data set into the room parameter identification model to obtain the preset corresponding relation;
and taking the parameter data corresponding to the room volume which is the same as the target room volume in the preset corresponding relation as the target parameter data.
5. The method of any of claims 1 to 4, wherein obtaining operational data comprises:
acquiring initial working parameters of the air conditioner, corresponding capacity output and output power of the air conditioner, wherein the initial working parameters are working parameters at an initial moment, and the working parameters comprise compressor frequency, opening of an electronic expansion valve, rotating speed of an inner fan and rotating speed of an outer fan;
acquiring current working parameters of the air conditioner, wherein the current working parameters are the working parameters at the current moment;
and respectively predicting the capacity output corresponding to the current moment and the output power of the air conditioner according to the initial working parameters, the corresponding capacity output, the corresponding output power and the current working parameters to obtain the operation data.
6. The method of claim 5, wherein controlling the air conditioner to operate based on at least the indoor predicted temperature, the desired temperature, and a predetermined threshold comprises:
under the same capacity output, the output power is minimum as an objective function, and the deviation amount between the expected temperature and the indoor predicted temperature is smaller than the preset threshold value as a constraint condition, so as to calculate an optimal solution, wherein the optimal solution comprises the optimal compressor frequency, the optimal electronic expansion valve opening, the optimal inner fan rotating speed and the optimal outer fan rotating speed;
and controlling the air conditioner to operate according to the parameters corresponding to the optimal solution.
7. A control device of an air conditioner, characterized by comprising:
the system comprises an acquisition unit, a storage unit and a control unit, wherein the acquisition unit is used for acquiring actual environment data and operation data of the air conditioner, the actual environment data comprises the indoor temperature and the outdoor temperature at the current moment, the operation data comprises the capacity output of the air conditioner at the current moment, and the capacity output comprises the refrigerating capacity and/or the heating capacity;
a determining unit, configured to determine target parameter data according to at least a target room volume and a predetermined corresponding relationship, where the target room is a room where the air conditioner is located, the target room volume is a volume of the target room, the predetermined corresponding relationship is a corresponding relationship between different room volumes and parameter data, the target parameter data is the parameter data corresponding to the target room, and the parameter data includes an indoor air heat exchange coefficient of the target room at the current time, an indoor-outdoor total thermal resistance of the target room at the current time, and a thermal load of the target room at the current time;
the input unit is used for inputting the actual environment data, the operation data and the target parameter data into an equivalent thermal parameter model of the target room to obtain the indoor predicted temperature at the next moment;
and the control unit is used for controlling the air conditioner to operate at least according to the indoor predicted temperature, the expected temperature and a preset threshold value, wherein the preset threshold value is a deviation threshold value between the indoor predicted temperature and the expected temperature.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program performs the method of any one of claims 1 to 6.
9. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the method of any of claims 1 to 6.
10. An air conditioning system, comprising:
an air conditioner;
a control apparatus of the air conditioner, the control apparatus comprising one or more processors, memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing the method of any of claims 1-6.
CN202210901570.2A 2022-07-28 2022-07-28 Control method and control device of air conditioner, processor and air conditioning system Pending CN115597203A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115823651A (en) * 2023-02-16 2023-03-21 河北华通科技股份有限公司 Building energy-saving optimization system and method and electronic equipment
CN116085952A (en) * 2023-01-30 2023-05-09 武汉大学 Energy-saving calculation method, energy-saving controller, terminal and medium for split air conditioner
CN116928106A (en) * 2023-09-15 2023-10-24 德耐尔能源装备有限公司 Temperature control method and system for oil-free screw compressor

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116085952A (en) * 2023-01-30 2023-05-09 武汉大学 Energy-saving calculation method, energy-saving controller, terminal and medium for split air conditioner
CN116085952B (en) * 2023-01-30 2024-02-23 武汉大学 Energy-saving calculation method, energy-saving controller, terminal and medium for split air conditioner
CN115823651A (en) * 2023-02-16 2023-03-21 河北华通科技股份有限公司 Building energy-saving optimization system and method and electronic equipment
CN116928106A (en) * 2023-09-15 2023-10-24 德耐尔能源装备有限公司 Temperature control method and system for oil-free screw compressor
CN116928106B (en) * 2023-09-15 2023-12-12 德耐尔能源装备有限公司 Temperature control method and system for oil-free screw compressor

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