Method, device and storage medium for operating an air conditioning system

Abstract

The application discloses an operation control method and device of an air conditioning system and a storage medium, and belongs to the technical field of air conditioning control. The method comprises the following steps: acquiring an operation state parameter of the air conditioning system and an environment state parameter of an indoor or outdoor environment where the air conditioning system is located; predicting target required energy of an indoor environment where the air conditioning system is located in a next time period according to the operation state parameter and the environment state parameter; optimizing an outdoor unit operation frequency of the air conditioning system under a constraint condition preset according to the target required energy, so as to obtain a target frequency point meeting the target required energy, and taking maximization of an energy efficiency index of the air conditioning system as an optimization target; and adjusting the outdoor unit operation frequency of the air conditioning system to the target frequency point, so that the outdoor unit operation frequency of the air conditioning system is maintained at the target frequency point in the next time period. Through the application, the technical problem of energy waste existing in a multi-connected air conditioner is at least solved to some extent.

Description

Technical Field

[0001] This invention relates to the field of air conditioning control technology, and in particular to an operation control method, device and storage medium for an air conditioning system. Background Technology

[0002] Multi-split air conditioning is a type of central air conditioning system, commonly known as "one-to-many," referring to a single outdoor unit connected to two or more indoor units via piping. Multi-split air conditioning systems offer a variety of indoor unit specifications and styles that can be freely combined. Compared to conventional central air conditioning, it avoids the problem of all units running simultaneously and consuming excessive energy, making it more energy-efficient. Multi-split air conditioning systems are widely used in commercial and residential applications.

[0003] In related technologies, the dynamic operation control of multi-split air conditioners prioritizes system stability and comfort. By controlling the frequency of temperature rise and fall, the indoor temperature is kept within the range set by the user to meet the user's comfort needs. However, this results in low energy efficiency and energy waste in multi-split air conditioners. Summary of the Invention

[0004] This invention provides an operation control method, device, and storage medium for an air conditioning system to solve the technical problem of energy waste in multi-split air conditioners.

[0005] In a first aspect of the present invention, an operation control method for an air conditioning system is provided, comprising: acquiring operating state parameters of the air conditioning system and environmental state parameters of the indoor and outdoor environments in which it is located; predicting the target energy demand of the indoor environment in which the air conditioning system is located in the next time period based on the operating state parameters and the environmental state parameters; optimizing the operating frequency of the outdoor unit of the air conditioning system with the optimization objective of maximizing the energy efficiency index of the air conditioning system under the constraints preset according to the target energy demand, so as to obtain a target frequency point that meets the target energy demand; and adjusting the operating frequency of the outdoor unit of the air conditioning system to the target frequency point so that the operating frequency of the outdoor unit of the air conditioning system is maintained at the target frequency point in the next time period.

[0006] In conjunction with the first aspect, in some embodiments, predicting the target energy demand of the indoor environment where the air conditioning system is located in the next time period based on the operating state parameters and the environmental state parameters includes: determining the current output energy of the air conditioning system based on the operating state parameters and the environmental state parameters; and predicting the target energy demand of the indoor environment in the next time period based on the current output energy of the air conditioning system.

[0007] In conjunction with the first aspect, in some embodiments, predicting the target energy demand of the indoor environment in the next time period based on the current output energy of the air conditioning system includes: obtaining the load correction amount of the indoor environment in the next time period; and determining the target energy demand of the indoor environment in the next time period based on the sum of the load correction amount and the current output energy of the air conditioning system.

[0008] In conjunction with the first aspect, in some embodiments, obtaining the load correction amount of the indoor environment in the next time period includes: obtaining a first sensible heat correction amount and a first latent heat correction amount of the indoor environment; predicting whether the indoor environment will experience a load disturbance in the next time period; if so, determining a second sensible heat correction amount and a second latent heat correction amount that the indoor environment will generate in the next time period based on the load disturbance amount, and determining the load correction amount of the indoor environment in the next time period based on the sum of the first sensible heat correction amount, the first latent heat correction amount, the second sensible heat correction amount, and the second latent heat correction amount; if not, determining the load correction amount of the indoor environment in the next time period based on the sum of the first sensible heat correction amount and the first latent heat correction amount.

[0009] In conjunction with the first aspect, in some embodiments, the air conditioning system is a multi-split air conditioner including M indoor units, where M is an integer greater than 1, the current output energy of the air conditioning system is the sum of the current output energy of the M indoor units, and the load correction amount is the sum of the sub-load correction amounts of the M rooms in the indoor environment in the next time period.

[0010] In conjunction with the first aspect, in some embodiments, determining the current output energy of the air conditioning system based on the operating state parameters and the environmental state parameters includes: taking each of the M rooms as a target room, and determining the current output energy of the indoor unit in the target room based on the state parameters of the operating state parameters and the environmental state parameters related to the target room; and determining the current output energy of the multi-split air conditioner based on the sum of the current output energy of the M indoor units.

[0011] In conjunction with the first aspect, in some embodiments, the state parameters related to the target room include: the outdoor temperature of the outdoor environment where the multi-split air conditioner is located, the indoor temperature of the target room, the current airflow of the indoor unit in the target room, and the current operating frequency of the outdoor unit of the multi-split air conditioner.

[0012] In conjunction with the first aspect, in some embodiments, determining the current output energy of the indoor unit in the target room based on the state parameters related to the target room in the operating state parameters and the environmental state parameters includes: acquiring N reference frequencies related to the current operating frequency of the outdoor unit and a set of indoor unit performance coefficients corresponding to each reference frequency, where N is an integer greater than 1; using the N reference frequencies as target reference frequencies respectively, and making predictions based on the indoor unit performance coefficients corresponding to the target reference frequencies, the outdoor temperature, the indoor temperature of the target room, and the current airflow of the indoor unit in the target room to obtain a predicted value of the output energy of the indoor unit in the target room at the target reference frequencies; and performing interpolation processing based on the current operating frequency of the outdoor unit, the N reference frequencies, and the N predicted output energy values ​​of the indoor unit in the target room at the N reference frequencies to obtain the current output energy of the indoor unit in the target room.

[0013] In conjunction with the first aspect, in some embodiments, the indoor unit performance coefficient group corresponding to the target reference frequency includes a first performance coefficient group and a second performance coefficient group; the step of predicting the output energy prediction value of the indoor unit in the target room at the target reference frequency based on the indoor unit performance coefficient group corresponding to the target reference frequency, the outdoor temperature, the indoor temperature of the target room, and the current airflow of the indoor unit in the target room includes: determining a first flow rate correction coefficient based on the first performance coefficient group, the current airflow and the rated airflow of the indoor unit in the target room; determining a first temperature correction coefficient based on the second performance coefficient group, the outdoor temperature and the indoor temperature of the target room; and correcting the rated output energy of the indoor unit in the target room based on the first flow rate correction coefficient and the first temperature correction coefficient to obtain the output energy prediction value of the indoor unit in the target room at the target reference frequency.

[0014] In conjunction with the first aspect, in some embodiments, optimizing the outdoor unit operating frequency of the air conditioning system to maximize the energy efficiency index of the air conditioning system under the constraints preset according to the target energy demand, so as to obtain a target frequency point that meets the target energy demand, includes: determining a finite number of frequency options from the operating frequency range of the air conditioning system; obtaining candidate frequency points that meet the constraints from the finite number of frequency options; and obtaining, from the candidate frequency points that meet the constraints, the candidate frequency point that maximizes the energy efficiency index of the air conditioning system as the target frequency point.

[0015] In conjunction with the first aspect, in some embodiments, the constraint conditions preset according to the target energy demand include: the output energy of the air conditioning system in the next time period is within the load demand range, the load demand range being set according to the target energy demand; adjusting the operating frequency of the outdoor unit of the air conditioning system once, the resulting frequency change is within a preset change range and / or the resulting frequency change rate is less than or equal to a preset change rate upper limit.

[0016] In conjunction with the first aspect, in some embodiments, obtaining candidate frequency points that satisfy the constraints from the finite number of frequency options includes: designating each frequency option in the finite number of frequency options as a target frequency option; performing energy prediction based on the operating state parameters and the environmental state parameters to obtain the predicted output energy value of the air conditioning system under the target frequency option; determining the frequency change amount and / or frequency change rate generated by adjusting the outdoor unit operating frequency of the air conditioning system from the current operating frequency to the target frequency option; if the frequency change amount is within the preset change amount range and / or the frequency change rate is less than or equal to the preset change rate upper limit, and the predicted output energy value of the air conditioning system under the target frequency option is within the load demand range, then the target frequency option is taken as a candidate frequency point.

[0017] In conjunction with the first aspect, in some embodiments, the step of obtaining the candidate frequency point that maximizes the energy efficiency index of the air conditioning system from the candidate frequency points that satisfy the constraints as the target frequency point includes: taking each candidate frequency point that satisfies the constraints as a target candidate frequency; performing power prediction based on the operating state parameters and the environmental state parameters to obtain the power prediction value of the air conditioning system at the target candidate frequency; and determining the energy efficiency index of the air conditioning system at the target candidate frequency based on the ratio of the output energy prediction value to the power prediction value of the air conditioning system at the target candidate frequency; and determining the candidate frequency point that maximizes the energy efficiency index of the air conditioning system from the candidate frequency points that satisfy the constraints as the target frequency point.

[0018] In conjunction with the first aspect, in some other embodiments, the step of optimizing the outdoor unit operating frequency of the air conditioning system under the constraints preset according to the target energy demand, with the optimization objective of maximizing the energy efficiency index of the air conditioning system, to obtain a target frequency point that meets the target energy demand, includes: initializing within the operating frequency range of the air conditioning system to obtain multiple initial candidate frequency points; iteratively updating the candidate frequency points according to an artificial intelligence optimization algorithm and the initial candidate frequency points until a preset termination condition is met, to obtain a target frequency point that meets the constraints preset according to the target energy demand; wherein, the artificial intelligence optimization algorithm optimizes the outdoor unit operating frequency of the air conditioning system based on the constraints preset according to the target energy demand and an objective function constructed with the optimization objective of maximizing the energy efficiency index of the air conditioning system.

[0019] In conjunction with the first aspect, in some embodiments, before acquiring the operating status parameters of the air conditioning system and the environmental status parameters of the indoor and outdoor environments, the method further includes: after the air conditioning system is turned on and runs until the indoor temperature reaches the user-set value or the running time reaches a preset time threshold, the method of periodically acquiring the operating status parameters of the air conditioning system and the environmental status parameters of the indoor and outdoor environments is started according to a preset time step.

[0020] In a second aspect of the invention, an operation control device for an air conditioning system is provided, comprising: a processor; and a memory for storing processor-executable instructions, wherein the processor is configured to execute the instructions to implement the operation control method for the air conditioning system according to any embodiment of the first aspect.

[0021] In a third aspect of the invention, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the operation control method of the air conditioning system described in any embodiment of the first aspect.

[0022] One or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:

[0023] This invention predicts the target energy demand of the indoor environment where the air conditioning system is located in the next time period based on the operating status parameters of the air conditioning system and the environmental status parameters of its surrounding environment. Under the constraints preset for the target energy demand, the operating frequency of the outdoor unit of the air conditioning system is optimized with maximizing the energy efficiency index of the air conditioning system as the optimization objective, to obtain a target frequency point that meets the target energy demand. The operating frequency of the outdoor unit is then adjusted to the target frequency point so that it remains at the target frequency point in the next time period. Because the optimization objective is directly to maximize the energy efficiency index of the air conditioning system, the air conditioning system can operate in a relatively high energy efficiency range for a longer period, thus making the air conditioning system more energy-efficient. Furthermore, since the optimization of the outdoor unit operating frequency is based on the preset constraints of the target energy demand, the operating frequency of the outdoor unit can meet the user's comfort requirements. Therefore, this invention enables the air conditioning system to simultaneously achieve both comfort and energy-saving effects. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 A flowchart of an operation control method for an air conditioning system according to some embodiments of the present invention is shown;

[0026] Figure 2a The deviation analysis of the output energy of the air conditioning system based on the fitting of a bivariate quadratic function is shown;

[0027] Figure 2b This shows the effect of different outdoor dry-bulb temperatures on the output energy of the air conditioning system;

[0028] Figure 3a The deviation analysis of the power of the air conditioning system based on the fitting of a bivariate quadratic function is shown;

[0029] Figure 3b The effect of different outdoor dry-bulb temperatures on the power of the air conditioning system is shown.

[0030] Figure 4 A system architecture diagram of an air conditioning system operation control method according to some embodiments of the present invention is shown;

[0031] Figure 5 The control logic of an air conditioning system operation control method according to some embodiments of the present invention is shown;

[0032] Figure 6 A schematic diagram of an air conditioning system according to some embodiments of the present invention is shown. Detailed Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0034] Furthermore, in this invention, descriptions involving "first," "second," etc., are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature. Additionally, the technical solutions of the various embodiments can be combined with each other, but only on the basis of being achievable by those skilled in the art. When the combination of technical solutions is contradictory or impossible to implement, such a combination of technical solutions should be considered non-existent and not within the scope of protection claimed by this invention.

[0035] In this specification, the terms "one embodiment," "some embodiments," "specific embodiments," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0036] This invention provides an operation control method for an air conditioning system, which can be applied to control the operation control device under the air conditioning system. The operation control device can be set in the air conditioning system or in a cloud device or edge device that has established communication with the air conditioning system. The air conditioning system can be a multi-split air conditioner or a single-split ordinary air conditioner.

[0037] Figure 1 A flowchart illustrating an operation control method for an air conditioning system according to some embodiments of the present invention is shown. For example... Figure 1 As shown, the operation control method of the air conditioning system includes the following steps S101 to S104.

[0038] S101: Obtain the operating status parameters of the air conditioning system and the environmental status parameters of the indoor and outdoor environments.

[0039] In some embodiments, during the operation of the air conditioning system, the operating status parameters of the air conditioning system and the environmental status parameters of the indoor and outdoor environments are continuously acquired periodically according to a preset time step. After each acquisition of the operating status parameters of the air conditioning system and the environmental status parameters of the indoor and outdoor environments, steps S102 to S104 are triggered to adjust the operating frequency of the outdoor unit of the air conditioning system. This enables dynamic adjustment of the operating frequency of the outdoor unit of the air conditioning system so that the air conditioning system operates in a relatively high energy efficiency range and can meet the user's comfort requirements.

[0040] In some embodiments, the operating status parameters of the air conditioning system include the current operating frequency of the outdoor unit and the current air volume of the indoor unit. The environmental status parameters of the indoor and outdoor environments where the air conditioning system is located include: outdoor temperature, indoor temperature, and indoor relative humidity. In the case of a multi-split air conditioning system, since the multi-split air conditioning system includes multiple indoor units installed in multiple rooms, the operating status parameters of the multi-split air conditioning system include the current air volume of each indoor unit. The environmental status parameters of the indoor and outdoor environments where the multi-split air conditioning system is located include the outdoor temperature, the indoor temperature of each room, and the indoor relative humidity.

[0041] S102: Based on the operating status parameters and environmental status parameters, predict the target energy demand of the indoor environment where the air conditioning system is located in the next time period.

[0042] In some embodiments, predicting the target energy demand of the indoor environment where the air conditioning system is located in the next time period based on operating status parameters and environmental status parameters may include: determining the current output energy of the air conditioning system based on the operating status parameters and environmental status parameters; and predicting the target energy demand of the indoor environment where the air conditioning system is located in the next time period based on the current output energy of the air conditioning system.

[0043] In some embodiments, the air conditioning system is a multi-split air conditioner comprising M indoor units, where M is an integer greater than 1, and the current output energy of the multi-split air conditioner is the sum of the current output energies of the M indoor units. That is, the step of determining the current output energy of the air conditioning system based on operating state parameters and environmental state parameters may include: designating each of the M rooms as a target room, and determining the current output energy of the indoor unit in the target room based on the state parameters related to the target room in the operating state parameters and environmental state parameters; and determining the current output energy of the multi-split air conditioner based on the sum of the current output energies of the M indoor units.

[0044] In some embodiments, the sum of the current output energy of the M indoor units can be directly used as the current output energy of the multi-split air conditioner, or the product of the sum of the current output energy of the M indoor units and the correction coefficient can be used as the current output energy of the multi-split air conditioner.

[0045] It is understandable that the operating status parameters of a multi-split air conditioner and the environmental status parameters of its indoor and outdoor environments include: the current operating frequency of the outdoor unit, the current airflow of each indoor unit, the outdoor temperature, and the indoor temperature and relative humidity of the room where each indoor unit is located. The status parameters related to the target room include: the outdoor temperature, the indoor temperature and relative humidity of the target room, the current operating frequency of the outdoor unit of the multi-split air conditioner, and the current airflow of the indoor unit in the target room.

[0046] If the air conditioning system in this embodiment of the invention is a single-unit conventional air conditioner, then the current output energy of the air conditioning system is the current output energy of one indoor unit in the conventional air conditioner. That is to say, if the air conditioning system is a single-unit conventional air conditioner, determining the current output energy of the indoor unit of the air conditioning system based on the operating status parameters and environmental status parameters may include: determining the current output energy of one indoor unit based on the operating status parameters of the single-unit conventional air conditioner and the environmental status parameters of the indoor and outdoor environments where it is located, and using this as the current output energy of the single-unit conventional air conditioner.

[0047] It should be noted that in all the above-described embodiments for determining the current output energy of the air conditioning system, whether determining the current output energy of each indoor unit in a multi-split air conditioner separately or determining only the current output energy of one indoor unit in a single-split air conditioner, the determination process is the same or similar. The process for determining the current output energy of the indoor unit in the target room is described below:

[0048] In some embodiments, determining the current output energy of the indoor unit in the target room based on the state parameters related to the target room in the operating state parameters and environmental state parameters may include: obtaining N reference frequencies related to the current operating frequency of the outdoor unit and a set of indoor unit performance coefficients corresponding to each reference frequency, where N is an integer greater than 1; using the N reference frequencies as target reference frequencies respectively, and making predictions based on the outdoor temperature, the indoor temperature of the target room, the current airflow of the indoor unit in the target room, and the set of indoor unit performance coefficients corresponding to the target reference frequencies to obtain the predicted output energy value of the indoor unit in the target room at the target reference frequencies (that is, the predicted output energy value of the indoor unit in the target room when the outdoor unit is at the target reference frequency); and performing interpolation processing based on the current operating frequency of the outdoor unit, the N reference frequencies, and the N predicted output energy values ​​of the indoor unit in the target room at the N reference frequencies to obtain the current output energy of the indoor unit in the target room.

[0049] In some embodiments, the program pre-stores first mapping data, which is a mapping between frequency points and indoor unit performance coefficients of the air conditioning system. The first mapping data includes multiple discrete frequency points within the operating frequency range of the outdoor unit and a set of indoor unit performance coefficients mapped to each frequency point. For multi-split air conditioning systems, since the specifications of the indoor units of a multi-split air conditioning system may not be the same, the program pre-stores a set of first mapping data for each indoor unit, so that the same frequency point maps to different sets of indoor unit performance coefficients for indoor units of different specifications.

[0050] Based on the current operating frequency of the outdoor unit, N reference frequencies related to the current operating frequency of the outdoor unit and the corresponding indoor unit performance coefficient group for each of the N reference frequencies can be obtained from the first mapping data pre-stored for the indoor unit in the target room.

[0051] In some embodiments, for each of the N reference frequencies {f1, f2, f3, ..., fn}, the predicted output energy value of the indoor unit in the target room at that reference frequency is determined based on the outdoor temperature, the indoor temperature of the target room, the current airflow of the indoor unit in the target room, and the indoor unit performance coefficient set corresponding to that reference frequency. Thus, N predicted output energy values ​​corresponding one-to-one with the N reference frequencies can be obtained.

[0052] {Q f1 Q f2 Q f3 ...,Q fn};

[0053] In some embodiments, the indoor unit performance coefficient set corresponding to each of the N reference frequencies includes two sets. That is, the indoor unit performance coefficient set corresponding to the target reference frequency includes a first performance coefficient set for airflow correction and a second performance coefficient set for temperature correction. Predicting the output energy of the indoor unit in the target room at the target reference frequency based on the indoor unit performance coefficient set corresponding to the target reference frequency, the outdoor temperature, the indoor temperature of the target room, and the current airflow of the indoor unit in the target room may include: determining a first flow rate correction coefficient based on the first performance coefficient set, the current airflow of the indoor unit in the target room, and the rated airflow; determining a first temperature correction coefficient based on the second performance coefficient set, the outdoor temperature, and the indoor temperature of the target room; and correcting the rated output energy of the indoor unit in the target room based on the first flow rate correction coefficient and the first temperature correction coefficient to obtain the predicted output energy of the indoor unit in the target room at the target reference frequency.

[0054] In some embodiments, determining the first flow correction coefficient based on the first performance coefficient set corresponding to the target reference frequency, and the current air volume and rated air volume of the indoor unit in the target room, may be: determining the first flow correction coefficient based on a certain linear regression function related to the air volume ratio of the indoor unit in the target room and the first performance coefficient set, wherein the air volume ratio of the indoor unit in the target room is the ratio of the current air volume to the rated air volume of the indoor unit.

[0055] The air volume ratio of the indoor unit in target room i can be seen from the following formula (1):

[0056]

[0057] Among them, ff i m represents the airflow ratio of the indoor unit in the i-th room. a,i This represents the current airflow of the indoor unit in room i, which can be determined based on the fan speed setting of the indoor unit in room i. r,i This represents the rated airflow of the indoor unit in the i-th room.

[0058] The linear regression function can be, but is not limited to, the cubic linear regression function shown in equation (2) below:

[0059]

[0060] in, Here, c0~c3 is the first flow correction factor for room i, and c0~c3 is the first set of performance coefficients used to determine the first flow correction factor for room i. i This represents the airflow ratio of the indoor unit in the i-th room.

[0061] In some embodiments, determining the first temperature correction coefficient based on the second performance coefficient group corresponding to the target reference frequency, the indoor temperature of the target room, and the outdoor temperature can be achieved by: determining the first temperature correction coefficient based on a multiple linear regression function related to the outdoor temperature, the indoor temperature of the target room, and the second performance coefficient group.

[0062] The first temperature correction coefficient for target room i can be determined by a bivariate quadratic function related to the indoor temperature, outdoor temperature, and second performance coefficient group of target room i, as shown in equation (3) below:

[0063] ξ T,i =a0+a1T wb,i +a2T wb,i 2 +a3T db,o +a4T db,o 2 +a5T wb,i T db,o (3)

[0064] Where, ξ T,i Let T be the first temperature correction factor for room i, and let a0 to a5 be the second set of performance coefficients used to determine the first temperature correction factor for room i. wb,i Let T be the temperature inside the i-th room (which can be expressed as wet-bulb temperature). db,o This refers to the outdoor temperature (which can be expressed as dry-bulb temperature).

[0065] Figure 2a This illustrates a deviation analysis based on the bivariate quadratic function fitting of the air conditioning system's output energy, such as... Figure 2a As shown, the deviation between the output energy of the air conditioning system fitted by the bivariate quadratic function and the output energy of the air conditioning system measured in the experiment is only about 2%. The bivariate quadratic function can accurately determine the first temperature correction coefficient, and thus accurately fit the current output energy of the air conditioning system.

[0066] In some embodiments, correcting the rated output energy of the indoor unit in the target room based on the first flow correction coefficient and the first temperature correction coefficient to obtain the predicted output energy value of the indoor unit in the target room at the target reference frequency may include: multiplying the first flow correction coefficient, the first temperature correction coefficient, and the rated output energy of the indoor unit in the target room to obtain the predicted output energy value of the indoor unit in the target room at the target reference frequency, as shown in the following formula (4):

[0067] Q i =Q nominal,i *ξ T,i *ξ ff,i (4)

[0068] Where, ξ T,i The first temperature correction factor for room i. Q is the first flow correction factor for room i. nominal,i Q is the rated output energy of the indoor unit in the i-th room. i Let be the predicted output energy value of the indoor unit in room i at the target reference frequency.

[0069] In other embodiments, the rated output energy of the indoor unit in the target room is corrected according to the first flow correction coefficient and the first temperature correction coefficient to obtain the predicted output energy value of the indoor unit in the target room at the target reference frequency. This may include: multiplying the first flow correction coefficient and the first temperature correction coefficient to obtain a first relative energy ratio; multiplying the first relative energy ratio by the rated output energy of the indoor unit in the target room to obtain the output energy of the indoor unit in the target room at the target reference frequency, as shown in the following equations (5) and (6):

[0070] ξQ,i =ξ T,i *ξ ff,i (5)

[0071] Q i =Q nominal,i *ξ Q,i (6)

[0072] Where, ξ T,i Let ξ be the first temperature correction factor for room i. ff,i The first flow correction coefficient for room i.

[0073] Q nominal,i Q is the rated output energy of the indoor unit in the i-th room. i Let be the predicted output energy value of the indoor unit in room i at the target reference frequency.

[0074] Figure 2b The effect of different outdoor dry-bulb temperatures on the output energy of the air conditioning system is shown. It should be noted that, as... Figure 2b As shown, at a given frequency, the output energy of an air conditioning system is related to the evaporation temperature and the condensation temperature, which are mainly affected by the indoor and outdoor temperatures and the airflow of the indoor unit. Therefore, by correcting the rated output energy of the air conditioning system using the aforementioned first flow rate correction coefficient and first temperature correction coefficient, the current output energy of the air conditioning system can be accurately obtained.

[0075] In some embodiments, predicting the target energy demand of the indoor environment where the air conditioning system is located in the next time period based on the current output energy of the air conditioning system may include: obtaining the load correction amount of the indoor environment where the air conditioning system is located in the next time period; and determining the target energy demand of the indoor environment where the air conditioning system is located in the next time period based on the sum of the load correction amount and the current output energy of the air conditioning system. For example, the sum of the load correction amount and the current output energy of the air conditioning system is directly used as the target energy demand of the indoor environment where the air conditioning system is located in the next time period. This enables dynamic adjustment of the outdoor unit's operating frequency in conjunction with the load correction amount, allowing the air conditioning system to operate energy-efficiently and cope with the effects of interference.

[0076] In one embodiment, the system detects in real time whether load disturbances occur in the indoor environment, determines the currently occurring load disturbances based on the detection results, and determines the load correction amount for the next time period based on the currently occurring load disturbances. Since real-time detection of load disturbances in the indoor environment is a feedback control mechanism, the corresponding load correction amount is only given after load disturbances such as changes in personnel have occurred for a period of time. Therefore, there is a significant time lag, resulting in large fluctuations in indoor temperature, insufficient control stability and adaptability to changing operating conditions, and negatively impacting the user experience.

[0077] In other embodiments, it is predicted whether a load disturbance will occur in the indoor environment in the next time period, and the load correction amount for the indoor environment where the air conditioning system is located in the next time period is determined based on the prediction result. That is, obtaining the load correction amount for the indoor environment where the air conditioning system is located in the next time period may include: obtaining a first sensible heat correction amount and a first latent heat correction amount for the indoor environment where the air conditioning system is located; predicting whether a load disturbance will occur in the indoor environment where the air conditioning system is located in the next time period; if no load disturbance will occur in the next time period, it indicates that the load change in the next time period is slow and close to a quasi-steady state, then only the first sensible heat correction amount and the first latent heat correction amount are obtained, and the sum of the first sensible heat correction amount and the first latent heat correction amount is used as the load correction amount for the indoor environment where the air conditioning system is located in the next time period; if a load disturbance will occur in the next time period, it indicates that the load in the next time period may change, such as when people return home from get off work in summer, heat dissipation from people adds to the indoor environment, resulting in an increase in cooling load, and the corresponding load correction amount can be provided in the next time period by predicting whether a load disturbance will occur in the indoor environment. Therefore, if a load disturbance is predicted to occur in the next time period, the second sensible heat correction and the second latent heat correction are determined based on the load disturbance. The load correction for the indoor environment where the air conditioning system is located in the next time period is determined based on the sum of the first sensible heat correction, the first latent heat correction, the second sensible heat correction, and the second latent heat correction. According to one or more embodiments of the present invention, predicting whether a disturbing load will occur in the next time period allows for early detection of load disturbance changes, enabling more timely provision of corresponding load corrections, eliminating time lag, reducing indoor temperature fluctuations, improving control stability and adaptability to changing operating conditions, and enhancing user comfort.

[0078] In some embodiments, the air conditioning system is a multi-split air conditioner including M indoor units. The load correction amount is the sum of the sub-load correction amounts of the M rooms in the indoor environment where the multi-split air conditioner is located in the next time period, which is the sum of the sub-load correction amounts of the M rooms where the M indoor units are located in the next time period. Therefore, when the air conditioning system is a multi-split air conditioner, the step of obtaining the load correction amount of the indoor environment where the air conditioning system is located in the next time period may include: taking each room in the indoor environment where the multi-split air conditioner is located as a target room, obtaining the first sensible heat correction amount and the first latent heat correction amount of the target room in the next time period; predicting whether the target room will have a load disturbance item in the next time period; if the target room will have a load disturbance item in the next time period, determining the second sensible heat correction amount and the second latent heat correction amount of the target room in the next time period based on the load disturbance item that will appear in the target room in the next time period; and taking the sum of the first sensible heat correction amount, the first latent heat correction amount, the second sensible heat correction amount and the second latent heat correction amount of the target room as the sub-load correction amount of the target room in the next time period; if the target room does not have a load disturbance item in the next time period, taking the sum of the first sensible heat correction amount and the second sensible heat correction amount of the target room as the sub-load correction amount of the target room in the next time period.

[0079] In some other embodiments where the air conditioning system is a multi-split air conditioner, after obtaining the sub-load correction amount for each room in the next time period and the current output energy of the indoor unit in each room, for each room, the room demand energy in the next time period is obtained based on the sum of the current output energy of the indoor unit in that room and the sub-load correction amount for that room in the next time period; and the target demand energy of the indoor environment where the multi-split air conditioner is located in the next time period is obtained based on the sum of the room demand energy of each room in the next time period.

[0080] Understandably, for each room, the room's energy demand in the next time period is obtained by summing the current output energy of the indoor unit in that room with the sub-load correction amount for that room in the next time period, as shown in the following formula (7):

[0081] Q need,i =Q AC,i +Q sen,corr,i +Q lat,corr,i (7)

[0082] Among them, Q nee d represents the energy requirement of room i in the next time period, and Q represents the energy demand of room i. AC Q represents the current output energy of the indoor unit in room i. sen,corr,o +Q lat,corr,i This represents the sub-load adjustment amount for room i in the next time period.

[0083] In some embodiments, the first sensible heat correction for the target room in the next time period can be calculated based on the room volume, room temperature and user-set temperature of the target room, and the principle of heat conservation, as shown in equation (8) below:

[0084]

[0085] Among them, Q sen,corr1,i Let ρ be the first sensible heat correction for room i, and V be the air density. i Let c be the volume of the i-th room. p,air The specific heat capacity of the air in the room, T set,i Set the temperature for the user in the indoor unit of room i, T meas,i Let be the room temperature of the i-th room, and Δτ be the correction time interval (which can be a preset time step, such as 5 min).

[0086] The first latent heat correction for the target room in the next time period can be calculated based on the room volume, relative humidity, and user-set humidity of the target room, and on the principle of heat conservation, as shown in the following formula (9):

[0087]

[0088] Among them, Q lat,corr1,i Let ρ be the first latent heat correction for room i, and V be the air density. i Let d be the volume of the i-th room. set,i Set the humidity for the user of the indoor unit in room i, d meas,i Let be the relative humidity in room i, h be the latent heat of vaporization of water, and Δτ be the correction time interval (which can be a preset time step, such as 5 min).

[0089] It should be noted that the room volume can be pre-input by the user or detected by sensors on the indoor unit.

[0090] The second sensible heat correction and the second latent heat correction for the target room in the next time period are determined based on the load disturbances that will occur in the target room in the next time period, as shown in the following equations (10) and (11):

[0091] Q sen,corr2,i =N occ,iqocc +q light,i +q equip,i +q misc,i (10)

[0092] Q lat,corr2 =N occ,i H occ +H misc,i (11)

[0093] Among them, Q sen,corr2,i Q is the second sensible heat correction for the i-th room. lat,corr2,i N is the second latent heat correction for the i-th room. occ,i Let q be the number of people in the i-th room. occ For the sensible heat output of a single person, H occ For the latent heat of a single person, q light,i Let q be the sensible heat output of the light fixtures in room i. equip,i Let q be the sensible heat output of the equipment in room i. misc,i For the other sensible heat generation of room i, H misc The other latent heat generation of room i.

[0094] In some embodiments, user behavior data is used to predict whether a load disturbance will occur in the target room in the next time period.

[0095] In some embodiments, predicting whether a target room will experience load disturbances in the next time period based on user behavior data can be achieved by using a prediction model trained from historical user behavior data to predict whether a target room will experience load disturbances in the next time period and the type of load disturbances that will occur, thereby enabling early detection of load disturbances.

[0096] In other embodiments, the step of predicting whether a target room will experience load disturbances in the next time period based on user behavior data may include: determining whether a target room will experience load disturbances in the next time period and the type of load disturbances that occur based on preset data input by the user. For example, if the user presets their departure and arrival times, then the determination of whether a target room will experience load disturbances in the next time period and the type of load disturbances that occur is based on the preset departure and arrival times, thereby achieving advance detection of load disturbances.

[0097] S103: Under the constraints of preset target energy demand, optimize the operating frequency of the outdoor unit of the air conditioning system with the goal of maximizing the energy efficiency index of the air conditioning system, so as to obtain the target frequency point that meets the target energy demand.

[0098] In some embodiments, the constraints preset according to the target energy requirement include the following first constraint.

[0099] First constraint: The output energy of the air conditioning system in the next time period must be within the load demand range, which is set based on the target demand energy. Specifically, the load demand range is greater than or equal to the target demand energy, and less than or equal to the product of a preset coefficient and the target demand energy, where the preset coefficient is greater than 1 and less than 2. It can be understood that the load demand range is shown in the following formula (12):

[0100] Q need≤ Q AC ≤b·Q need (12)

[0101] Among them, Q need The target energy requirement for the next time period is given by b, which is a preset coefficient greater than 1 and less than 1.5. For example, b can be 1.2. AC This is the output energy of the air conditioning system in the next time period, calculated based on the frequency option.

[0102] In other embodiments, the constraints preset according to the target energy requirement include a first constraint, as well as the following second and / or third constraints.

[0103] Second constraint: The frequency change caused by adjusting the operating frequency of the outdoor unit of the primary air conditioning system is within the preset range, as shown in the following formula (13):

[0104] c≤|f k -f k-1 |≤d (13)

[0105] Among them, f k f is the current operating frequency of the outdoor unit. k-1 For the frequency options used in the next time period, the coefficients c and d constitute a preset range of variation [c, d].

[0106] The third constraint is that the frequency change rate generated by adjusting the operating frequency of the outdoor unit of the primary air conditioning system is less than or equal to the preset upper limit of the change rate, as shown in the following formula (14):

[0107]

[0108] Among them, f k f is the current operating frequency of the outdoor unit. k-1 For the frequency options used in the next time period, coefficient e is the preset upper limit of the rate of change.

[0109] It is understandable that coefficients c, d, and e are related to the performance of the air conditioning system's compressor and can be measured before the air conditioning system leaves the factory. Coefficient b can be selected by the user from a selectable range.

[0110] In some embodiments, under the constraints preset according to the target requirements, the operating frequency of the outdoor unit of the air conditioning system is optimized with the goal of maximizing the energy efficiency index of the air conditioning system to obtain the target frequency point that meets the target energy requirements. This may include: determining a finite number of frequency options from the operating frequency range of the air conditioning system; obtaining candidate frequency points that meet the constraints from the finite number of frequency options; and obtaining the candidate frequency point that maximizes the energy efficiency index of the air conditioning system from the candidate frequency points that meet the constraints as the target frequency point.

[0111] In other embodiments, after obtaining candidate frequency points that meet the constraints, one or more candidate frequency points that enable the air conditioning system's energy efficiency index to reach the energy efficiency threshold or fall within the target energy efficiency region are selected as target frequency points from among the candidate frequency points that meet the constraints. The target energy efficiency region is an energy efficiency region with relatively high energy efficiency.

[0112] In some embodiments, the step of obtaining candidate frequency points that meet the constraints from a finite number of frequency options may include: taking each frequency option in the finite number of frequency options as a target frequency option; predicting the output energy of the air conditioning system under the target frequency option based on operating state parameters and environmental state parameters to obtain the predicted output energy value of the air conditioning system under the target frequency option; determining the amount of frequency change and / or the rate of frequency change that would result from adjusting the outdoor unit operating frequency of the air conditioning system from the current operating frequency to the target frequency option; if the amount of frequency change is within a preset range and / or the rate of frequency change is less than or equal to a preset upper limit of the rate of change, and the predicted output energy value of the air conditioning system under the target frequency option is within the load demand range, then the target frequency option is taken as a candidate frequency point.

[0113] In some embodiments, selecting the candidate frequency point that maximizes the energy efficiency index of the air conditioning system from among the candidate frequency points that meet the constraints as the target frequency point may include: taking each candidate frequency point that meets the constraints as a target candidate frequency, performing power prediction based on operating state parameters and environmental state parameters to obtain the predicted power value of the air conditioning system at the target candidate frequency, and determining the energy efficiency index of the air conditioning system at the target candidate frequency based on the ratio of the predicted output energy value to the predicted power value of the air conditioning system at the target candidate frequency; and selecting the candidate frequency point that maximizes the energy efficiency index of the air conditioning system from among the candidate frequency points that meet the constraints as the target frequency point.

[0114] In some embodiments, the energy efficiency index at the target candidate frequency can be the predicted output energy and predicted power of the air conditioning system at the target candidate frequency. The calculation of the energy efficiency index at the target candidate frequency i is shown in equation (15) below:

[0115]

[0116] Among them, COP j Let Q be the energy efficiency index at the i-th candidate frequency point. AC,j Let P be the predicted output energy value at the i-th candidate frequency point. AC,j This represents the predicted power value at the i-th candidate frequency point.

[0117] In some embodiments, the predicted power value of the air conditioning system at the target candidate frequency is the product of the rated power of the air conditioning system and the relative power ratio, wherein the relative power ratio is the product of a second correction coefficient and a second flow correction coefficient. Both the second temperature correction coefficient and the second flow correction coefficient are determined based on the operating state parameters of the air conditioning system and the environmental state parameters of the indoor and outdoor environments. It is understood that the calculation principle of the second temperature correction coefficient is the same as that of the first temperature correction coefficient, also calculated based on a multiple linear regression function related to indoor and outdoor environmental temperatures. The only difference is the selection of the performance coefficient set; the performance coefficient set selected when calculating the second temperature correction coefficient is the outdoor unit performance coefficient set corresponding to the target candidate frequency.

[0118] In some embodiments, the program pre-stores second mapping data, which is a mapping between frequency points and the performance coefficients of the outdoor unit of the air conditioning system. The second mapping data includes multiple discrete frequency points within the operating frequency range of the outdoor unit and a set of outdoor unit performance coefficients corresponding to each frequency point. The set of outdoor unit performance coefficients corresponding to the target candidate frequency is obtained from the pre-stored second mapping data.

[0119] In some embodiments, the outdoor unit performance coefficient group corresponding to each frequency point includes a first outdoor unit performance coefficient group and a second outdoor unit performance coefficient group. A second temperature correction coefficient is determined based on the indoor temperature, outdoor temperature, and the first outdoor unit performance coefficient corresponding to the target candidate frequency. For example, the second temperature correction coefficient can be calculated using a quadratic function, as shown in equation (15) below:

[0120] ξ T =r0+r1T wb +r2T wb 2 +r3T db,o +r4T db,o 2 +r5T wb T db,o (15)

[0121] Where, ξ T The second temperature correction factor is r0~r5, which are the first outdoor unit performance coefficient groups corresponding to the target candidate frequencies. wb The indoor temperature (can be expressed as wet-bulb temperature; for multi-split air conditioners, T) is the temperature. wbThis can be either the average temperature of all rooms or a weighted average temperature. The weighted average temperature is calculated by weighting the room temperatures based on the size and specifications of each indoor unit (where larger indoor units have higher weighting values). db,o This refers to the outdoor temperature (which can be expressed as dry-bulb temperature).

[0122] Figure 3a The following is a deviation analysis of the power of the air conditioning system based on the fitting of a bivariate quadratic function, such as... Figure 3a As shown, the deviation between the power of the air conditioning system fitted by the bivariate quadratic function and the power of the air conditioning system measured in the experiment is only about 2%. The bivariate quadratic function can accurately determine the second temperature correction coefficient, and thus accurately determine the predicted power value of the air conditioning system under the target candidate power.

[0123] It is understandable that the calculation principle of the second flow correction coefficient is the same as that of the first flow correction coefficient, which is also calculated based on the linear regression function of the indoor unit's air volume ratio. The only difference is the selection of the performance coefficient group. When calculating the second flow correction coefficient, the performance coefficient group selected is the second outdoor unit performance coefficient group corresponding to the target candidate frequency. The second outdoor unit performance coefficient group corresponding to the target candidate frequency is obtained from the pre-stored second mapping data. For example, the second flow correction coefficient corresponding to the target candidate frequency i can be calculated using a cubic function, as shown in the following formula (16):

[0124] ξ ff =s0+s1ff+s2ff 2 +s3ff 3

[0125] Where, ξ ff s0~s3 is the second flow correction coefficient, s0~s3 is the second outdoor unit performance coefficient group corresponding to the target candidate frequency, and ff is the air volume ratio of the indoor unit (the air conditioning system is a multi-split air conditioner, ff can be the average or weighted average of the air volume ratios of each indoor unit of the multi-split air conditioner. The weighted average is calculated by weighting and calculating according to the weight values ​​set according to the size of the indoor unit. The larger the size, the larger the weight value).

[0126] Figure 3b The effect of different outdoor dry-bulb temperatures on the power of the air conditioning system is shown. It should be noted that, for example... Figure 3b As shown, at a given frequency, the power of an air conditioning system is related to the evaporation temperature and the condensation temperature, which are mainly affected by the indoor and outdoor temperatures and the airflow of the indoor unit. Therefore, by correcting the rated power of the air conditioning system using the aforementioned second flow rate correction coefficient and second temperature correction coefficient, the predicted power value of the air conditioning system can be accurately determined.

[0127] In some embodiments, the predicted output energy of the air conditioning system at the target candidate power is the product of the rated power of the air conditioning system and the second relative energy ratio, wherein the second relative energy ratio is the product of the third temperature correction factor and the third flow correction factor at the target candidate power.

[0128] It is understandable that the calculation principle of the third temperature correction coefficient is the same as that of the first temperature correction coefficient. It is also calculated based on the multiple linear regression function related to indoor and outdoor ambient temperatures. The only difference is the selection of the performance coefficient group. When calculating the third temperature correction coefficient, the performance coefficient group selected is the indoor unit performance coefficient group corresponding to the target candidate frequency for temperature correction obtained from the first mapping data pre-stored for the indoor unit.

[0129] It is understandable that the calculation principle of the third flow correction coefficient is the same as that of the first flow correction coefficient. It is also calculated based on the linear regression function of the air volume ratio of the indoor unit. The only difference is the selection of the performance coefficient group. When calculating the third flow correction coefficient, the performance coefficient group selected is the indoor unit performance coefficient group for air volume correction corresponding to the target candidate frequency obtained from the first mapping data pre-stored for the indoor unit.

[0130] In some embodiments where the air conditioning system is a multi-split air conditioner, each room in the indoor environment is designated as a target room. Based on the indoor temperature and outdoor temperature of the target room, and the fourth performance coefficient group corresponding to the target candidate frequency obtained from the first mapping data pre-stored for the indoor unit in the target room, a cubic function is used to calculate the third flow correction coefficient corresponding to the target room. The calculation formula can be referred to in equation (2) above. Based on the indoor temperature and outdoor temperature of the target room, and the third performance coefficient group corresponding to the target candidate frequency obtained from the first mapping data pre-stored for the indoor unit in the target room, a bivariate quadratic function is used to calculate the third temperature correction coefficient corresponding to the target room. The calculation formula can be referred to in equation (3) above.

[0131] It should be understood that after obtaining the third temperature correction coefficient and the third flow correction coefficient corresponding to the target room, the second relative energy ratio corresponding to the target room is obtained by multiplying the third flow correction coefficient and the third temperature correction coefficient corresponding to the target room. The output energy prediction value of the target room at the target candidate frequency is obtained by multiplying the rated output energy of the indoor unit in the target room with the second relative energy ratio. The output energy prediction value of the air conditioning system at the target candidate frequency is obtained by summing the output energy prediction values ​​of each room at the target candidate frequency.

[0132] In other embodiments, under the constraints of preset target energy demand, the operating frequency of the outdoor unit of the air conditioning system is optimized with the goal of maximizing the energy efficiency index of the air conditioning system. This can be achieved by using an artificial intelligence optimization algorithm to find the target frequency point that satisfies the constraints and makes the energy efficiency index of the air conditioning system within the target energy efficiency range.

[0133] It should be understood that the above calculation of the output energy prediction value and power prediction value at the target candidate frequency is based on the target candidate frequency in the first mapping data and the second mapping data. If the target candidate frequency is not in the first mapping data and the second mapping data, the output energy prediction value and power prediction value of the air conditioning system at the target candidate frequency can also be obtained by interpolation, similar to the implementation process of determining the current output energy of the air conditioning system. For the sake of brevity, this will not be elaborated here.

[0134] Figure 4 A system architecture diagram of an air conditioning system operation control method according to some embodiments of the present invention is shown. For example... Figure 4 As shown, in some embodiments, finding the target frequency point that satisfies the constraints and makes the energy efficiency index of the air conditioning system within the target energy efficiency range through artificial intelligence optimization algorithms may include: initializing within the operating frequency range of the air conditioning system to obtain multiple initial candidate frequency points; and iteratively updating the candidate frequency points according to the artificial intelligence optimization algorithm and the initial candidate frequency points until a preset termination condition is met to obtain the target frequency point that satisfies the constraints.

[0135] It is understandable that the artificial intelligence optimization algorithm optimizes the operating frequency of the outdoor unit of the air conditioning system based on the pre-set constraints of the target energy demand and the objective function. The objective function is constructed with the goal of maximizing the energy efficiency index of the air conditioning system. For example, the objective function can be set as min1 / COP, where COP is the energy efficiency index. The artificial intelligence optimization algorithm can employ any of the following: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SAM), or Ant Colony Optimization (ACO). The obtained target frequency point is the optimal frequency point that satisfies the energy demand of the air conditioning system in the next time period while maximizing energy efficiency. The constraints can be the first constraint mentioned above, or a combination of the first constraint and one of the second and third constraints mentioned above.

[0136] S104: Adjust the operating frequency of the outdoor unit of the air conditioning system to the target frequency point so that the operating frequency of the outdoor unit of the air conditioning system remains at the target frequency point in the next time period.

[0137] Through the above steps S101 to S104, the operating frequency of the outdoor unit of the air conditioning system is dynamically optimized and controlled to maximize the energy efficiency index of the air conditioning system during operation. This enables the air conditioning system to provide the required energy to the indoor environment in a high-energy-efficiency area, thereby achieving more energy-efficient operation of the air conditioning system and meeting the user's comfort needs.

[0138] In some embodiments, for a period of time after the air conditioning system is turned on, the indoor temperature is far from the user-set value. In order to quickly adjust the indoor temperature to the user-set value after the air conditioning system is turned on, a start-up adjustment process is executed. For example, the outdoor unit of the air conditioning system is controlled to run at a fixed frequency until the indoor temperature reaches the user-set value or the running time after startup reaches a preset time threshold, indicating that the indoor temperature has approached or reached the user-set value. Then, the periodic acquisition of the operating status parameters of the air conditioning system and the environmental status parameters of the indoor and outdoor environments is triggered according to a preset time step. The next time period is before the next adjustment of the outdoor unit's operating frequency, and the duration of the next time period is the duration of the preset time step.

[0139] Figure 5 The control logic of an air conditioning system operation control method according to some embodiments of the present invention is illustrated. To facilitate understanding of the air conditioning system operation control method provided in the embodiments of the present invention, the following references are made. Figure 5 Taking a multi-split air conditioner as an example, the control logic of the air conditioning system operation control method in this embodiment of the invention is given as follows:

[0140] S1: After the multi-split air conditioner is turned on, it will perform the start-up and adjustment process. The start-up and adjustment process can be carried out at the rated power so that the temperature in each room can quickly reach the user's set temperature.

[0141] S2: The multi-split air conditioner continues its start-up and adjustment process. When the temperature in each room meets T>Tset1+a, or the air conditioning system's running time reaches tset1, the start-up and adjustment process ends, and the system proceeds to step S3 to begin dynamic optimization control. Tset1 is the user-set value, such as 24℃; a is the deviation value, such as -0.5℃; tset1 is the preset duration threshold, such as 15min.

[0142] S3: Obtain the current operating frequency of the outdoor unit, the current air volume of the indoor unit, the current outdoor temperature, and the current indoor temperature of each room in the multi-split air conditioner;

[0143] S4: For each room, determine the room's energy demand for the next time period based on the current operating frequency, the current airflow of the indoor unit in that room, the current outdoor temperature, and the current indoor temperature of that room;

[0144] S5: Determine the target energy demand of the air conditioning system for the next time period based on the energy demand of each room in the next time period;

[0145] S6: Based on the preset constraints of the target energy demand, with the optimization goal of maximizing the energy efficiency index of the multi-split air conditioner, the operating frequency of the outdoor unit of the air conditioning system is optimized to obtain the target frequency point with the highest energy efficiency index.

[0146] S7: Output the target frequency point to the controller of the multi-split air conditioner so that the controller of the multi-split air conditioner can control the outdoor unit operating frequency of the multi-split air conditioner in the next time period according to the target frequency point;

[0147] S8: Determine whether the next adjustment time has been reached based on the preset time step. If so, return to step S3.

[0148] Based on the same inventive concept, embodiments of the present invention also provide an operation control device for an air conditioning system. Figure 6 A schematic diagram of an air conditioning system according to some embodiments of the present invention is shown. For example... Figure 6 As shown, the operation control device includes: a memory 604, a processor 602, and a computer program stored in the memory 604 and executable on the processor 602. The processor 602 executes the program to implement the operation control method of the air conditioning system of the outdoor unit of the air conditioner as described in any of the above embodiments.

[0149] Among them, Figure 6 In this document, a bus architecture (represented by bus 600) is used. Bus 600 may include any number of interconnected buses and bridges, linking various circuits including one or more processors represented by processor 602 and memory represented by memory 604. Bus 600 may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 605 provides an interface between bus 600 and receiver 601 and transmitter 603. Receiver 601 and transmitter 603 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 602 is responsible for managing bus 600 and general processing, while memory 604 can be used to store data used by processor 602 during operation.

[0150] Based on the same inventive concept, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the operation control method of the air conditioning system described in any of the above embodiments.

[0151] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0152] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0153] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0154] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0155] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0156] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for controlling the operation of an air conditioning system, characterized in that, include: Obtain the operating status parameters of the air conditioning system and the environmental status parameters of the indoor and outdoor environments. Based on the operating status parameters and the environmental status parameters, predict the target energy demand of the indoor environment where the air conditioning system is located in the next time period; Under the constraints of the target energy requirement, the operating frequency of the outdoor unit of the air conditioning system is optimized with the goal of maximizing the energy efficiency index of the air conditioning system, so as to obtain the target frequency point that meets the target energy requirement. The operating frequency of the outdoor unit of the air conditioning system is adjusted to the target frequency point so that the operating frequency of the outdoor unit of the air conditioning system is maintained at the target frequency point in the next time period.

2. The operation control method for an air conditioning system as described in claim 1, characterized in that, The step of predicting the target energy demand of the indoor environment where the air conditioning system is located in the next time period based on the operating status parameters and the environmental status parameters includes: The current output energy of the air conditioning system is determined based on the operating status parameters and the environmental status parameters. The target energy demand of the indoor environment in the next time period is predicted based on the current output energy of the air conditioning system.

3. The operation control method for an air conditioning system as described in claim 2, characterized in that, The step of predicting the target energy demand of the indoor environment in the next time period based on the current output energy of the air conditioning system includes: Obtain the load correction amount for the indoor environment in the next time period; The target energy requirement of the indoor environment in the next time period is determined based on the sum of the load correction and the current output energy of the air conditioning system.

4. The operation control method for an air conditioning system as described in claim 3, characterized in that, The process of obtaining the load correction amount of the indoor environment in the next time period includes: Obtain the first sensible heat correction and the first latent heat correction for the indoor environment; Predict whether the indoor environment will experience load disturbances in the next time period; If so, determine the second sensible heat correction and the second latent heat correction that the indoor environment will generate in the next period based on the load disturbance item, and determine the load correction of the indoor environment in the next period based on the sum of the first sensible heat correction, the first latent heat correction, the second sensible heat correction and the second latent heat correction. If not, the load correction amount for the indoor environment in the next time period is determined based on the sum of the first sensible heat correction amount and the first latent heat correction amount.

5. The operation control method for an air conditioning system as described in claim 3 or 4, characterized in that, The air conditioning system is a multi-split air conditioner including M indoor units, where M is an integer greater than 1. The current output energy of the air conditioning system is the sum of the current output energy of the M indoor units. The load correction amount is the sum of the sub-load correction amounts of the M rooms in the indoor environment in the next time period.

6. The operation control method for an air conditioning system as described in claim 5, characterized in that, Determining the current output energy of the air conditioning system based on the operating status parameters and the environmental status parameters includes: Each of the M rooms is taken as the target room, and the current output energy of the indoor unit in the target room is determined according to the state parameters of the operation state parameters and the environmental state parameters related to the target room. The current output energy of the multi-split air conditioner is determined based on the sum of the current output energy of the M indoor units.

7. The operation control method for an air conditioning system as described in claim 6, characterized in that, The status parameters related to the target room include: the outdoor temperature of the outdoor environment where the multi-split air conditioner is located, the indoor temperature of the target room, the current air volume of the indoor unit in the target room, and the current operating frequency of the outdoor unit of the multi-split air conditioner.

8. The operation control method for an air conditioning system as described in claim 7, characterized in that, The step of determining the current output energy of the indoor unit in the target room based on the operating status parameters and the environmental status parameters related to the target room includes: Obtain N reference frequencies related to the current operating frequency of the outdoor unit and a set of indoor unit performance coefficients corresponding to each reference frequency, where N is an integer greater than 1; The N reference frequencies are respectively used as target reference frequencies, and predictions are made based on the indoor unit performance coefficient group corresponding to the target reference frequency, the outdoor temperature, the indoor temperature of the target room, and the current air volume of the indoor unit in the target room, so as to obtain the predicted output energy value of the indoor unit in the target room at the target reference frequency. The current output energy of the indoor unit in the target room is obtained by interpolation based on the current operating frequency of the outdoor unit, the N reference frequencies, and the N predicted output energy values ​​of the indoor unit in the target room at the N reference frequencies.

9. The operation control method for an air conditioning system as described in claim 8, characterized in that, The indoor unit performance coefficient group corresponding to the target reference frequency includes a first performance coefficient group and a second performance coefficient group; The step of predicting the output energy of the indoor unit in the target room at the target reference frequency based on the indoor unit performance coefficient group corresponding to the target reference frequency, the outdoor temperature, the indoor temperature of the target room, and the current airflow of the indoor unit in the target room, includes: The first flow correction coefficient is determined based on the first performance coefficient group, the current air volume and the rated air volume of the indoor unit in the target room; A first temperature correction factor is determined based on the second performance coefficient group, the outdoor temperature, and the indoor temperature of the target room; The rated output energy of the indoor unit in the target room is corrected based on the first flow correction coefficient and the first temperature correction coefficient to obtain the predicted output energy value of the indoor unit in the target room at the target reference frequency.

10. The operation control method for an air conditioning system as described in claim 1, characterized in that, The step of optimizing the outdoor unit operating frequency of the air conditioning system under the constraints preset according to the target energy demand, with the optimization objective of maximizing the energy efficiency index of the air conditioning system, to obtain the target frequency point that meets the target energy demand, includes: A finite number of frequency options are determined from the operating frequency range of the air conditioning system; From the finite number of frequency options, obtain candidate frequency points that satisfy the constraints; From the candidate frequency points that satisfy the constraints, the candidate frequency point that maximizes the energy efficiency index of the air conditioning system is selected as the target frequency point.

11. The operation control method for an air conditioning system as described in claim 10, characterized in that, The constraints preset according to the target energy requirement include: The air conditioning system outputs energy within the load demand range in the next time period, and the load demand range is set according to the target energy demand. Adjusting the operating frequency of the outdoor unit of the air conditioning system once results in a frequency change within a preset range and / or a frequency change rate less than or equal to a preset upper limit of change rate.

12. The operation control method for an air conditioning system as described in claim 11, characterized in that, The step of obtaining candidate frequency points that satisfy the constraints from the finite number of frequency options includes: Each of the finite number of frequency options is taken as the target frequency option; Energy prediction is performed based on the operating status parameters and the environmental status parameters to obtain the predicted output energy value of the air conditioning system under the target frequency option; Determine the amount and / or rate of frequency change resulting from adjusting the outdoor unit operating frequency of the air conditioning system from the current operating frequency to the target frequency option; If the frequency change is within the preset change range and / or the frequency change rate is less than or equal to the preset change rate limit, and the predicted output energy value of the air conditioning system under the target frequency option is within the load demand range, then the target frequency option is taken as a candidate frequency point. The step of selecting the candidate frequency point that maximizes the energy efficiency index of the air conditioning system from the candidate frequency points that satisfy the constraints as the target frequency point includes: Each candidate frequency point that satisfies the constraints is taken as the target candidate frequency. Power prediction is performed based on the operating state parameters and the environmental state parameters to obtain the power prediction value of the air conditioning system at the target candidate frequency. The energy efficiency index of the air conditioning system at the target candidate frequency is determined based on the ratio of the output energy prediction value to the power prediction value of the air conditioning system at the target candidate frequency. From the candidate frequency points that satisfy the constraints, the candidate frequency point that maximizes the energy efficiency index of the air conditioning system is determined as the target frequency point.

13. The operation control method for an air conditioning system as described in claim 1, characterized in that, The step of optimizing the outdoor unit operating frequency of the air conditioning system under the constraints preset according to the target energy demand, with the optimization objective of maximizing the energy efficiency index of the air conditioning system, to obtain the target frequency point that meets the target energy demand, includes: Initialization is performed within the operating frequency range of the air conditioning system to obtain multiple initial candidate frequency points; The candidate frequency points are iteratively updated based on the artificial intelligence optimization algorithm and the initial candidate frequency points until a preset termination condition is met, so as to obtain the target frequency points that meet the preset constraints based on the target energy requirement. The artificial intelligence optimization algorithm optimizes the operating frequency of the outdoor unit of the air conditioning system based on the preset constraints of the target energy demand and the objective function constructed with the goal of maximizing the energy efficiency index of the air conditioning system.

14. The operation control method for an air conditioning system as described in claim 1, characterized in that, Before obtaining the operating status parameters of the air conditioning system and the environmental status parameters of the indoor and outdoor environments, the following steps are also included: After the air conditioning system is turned on, it runs until the indoor temperature reaches the user-set value or the running time reaches a preset time threshold, and then begins to periodically execute the step of obtaining the operating status parameters of the air conditioning system and the environmental status parameters of the indoor and outdoor environments according to the preset time step.

15. An operation control device for an air conditioning system, characterized in that, include: processor; A memory for storing processor-executable instructions, wherein the processor is configured to execute the instructions to implement the operation control method of the air conditioning system as described in any one of claims 1 to 14.

16. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the operation control method of the air conditioning system as described in any one of claims 1 to 14.

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