CN113091217A

CN113091217A - Optimizing control method, device and system for capacity output of air conditioning system and air conditioner

Info

Publication number: CN113091217A
Application number: CN202110301576.1A
Authority: CN
Inventors: 张仕强; 陈敏
Original assignee: Gree Electric Appliances Inc of Zhuhai
Current assignee: Gree Electric Appliances Inc of Zhuhai
Priority date: 2021-03-22
Filing date: 2021-03-22
Publication date: 2021-07-09
Anticipated expiration: 2041-03-22
Also published as: CN113091217B

Abstract

The invention relates to an optimization control method, a device and a system for air conditioning system capacity output and an air conditioner, which are used for acquiring real-time data of unit conditions of the air conditioning system and an initial capacity output value serving as a current capacity output value; recording the current actual operation capacity value of the air conditioning system operating in the initial time period according to the current capacity output value; performing capacity output bidirectional optimization in each time period by using a mode of iterative change of a current capacity output value, and determining a bidirectional optimization result corresponding to an interval where the real-time data of the unit condition is located; and according to preset optimizing judgment data, carrying out numerical judgment on the forward optimizing result and the reverse optimizing result, and determining a target capacity output value corresponding to the interval where the unit condition real-time data is located so that the air conditioning system operates according to the target capacity output value. The scheme determines the optimal target output capacity value under different unit conditions by using a bidirectional optimization mode, realizes the capacity output of the air conditioning unit as required, reduces energy waste and improves the use effect of the air conditioner.

Description

Optimizing control method, device and system for capacity output of air conditioning system and air conditioner

Technical Field

The invention relates to the technical field of air conditioners, in particular to an optimization control method, device and system for capacity output of an air conditioner system and an air conditioner.

Background

An air conditioner, that is, an air conditioner, is an apparatus for adjusting and controlling parameters such as temperature, humidity, and flow rate of ambient air in a building or structure by manual means, is an indispensable part of modern life, and provides people with coolness or warmth.

At present, when an air conditioning unit performs cooling and heating, the capacity output of the unit adopts a unified control standard, but different air conditioning engineering installations or different indoor unit use places have own individual characteristics, and the different individual characteristics have different influences on the actual operation effect of the air conditioning unit. If the capacity output of the unit adopts a uniform control standard, the problem of over output or less output of the outdoor unit is easily caused, so that energy waste is caused or the use effect of the air conditioner is reduced.

Therefore, how to output the capacity of the air conditioning unit as required is achieved, so as to reduce energy waste and improve the use effect of the air conditioner is a technical problem that needs to be solved urgently by technical personnel in the field.

Disclosure of Invention

In view of the above, the present invention provides an optimization control method, an apparatus, a system and an air conditioner for capacity output of an air conditioning system, so as to solve the problem that the capacity output of a unit in the prior art adopts a uniform control standard, which easily causes over output or less output of an outdoor unit, thereby causing energy waste or reducing the use effect of the air conditioner.

In order to achieve the purpose, the invention adopts the following technical scheme:

an optimizing control method for capacity output of an air conditioning system comprises the following steps:

acquiring real-time data of unit conditions and an initial capacity output value corresponding to an air conditioning system, and taking the initial capacity output value as a current capacity output value;

recording the current actual operation capacity value of the air conditioning system operating in the pre-calculated initial time period according to the current capacity output value;

according to the real-time unit condition data, the current capacity output value, the current actual operation capacity value and a preset data interval division rule, performing bidirectional optimization of capacity output in a mode of iterative change of the current capacity output value in each time period, and determining a bidirectional optimization result corresponding to an interval where the real-time unit condition data is located; the bidirectional optimizing result comprises the following steps: forward optimization results and reverse optimization results;

and according to preset optimizing judgment data, carrying out numerical judgment on the forward optimizing result and the reverse optimizing result, and determining a target capacity output value corresponding to an interval where the unit condition real-time data is located so that the air conditioning system operates according to the target output capacity value.

Further, in the above method for controlling optimization of capacity output of an air conditioning system, the performing bidirectional optimization of capacity output in a manner of iteratively changing the current capacity output value in each time period according to the real-time unit condition data, the current capacity output value, the current actual operation capacity value and a preset data interval division rule, and determining a bidirectional optimization result corresponding to an interval where the real-time unit condition data is located includes:

judging whether the interval of the real-time data of the unit conditions in the current time period is the same as the interval of the real-time data of the unit conditions in the previous time period or not according to the data interval division rule;

if the interval of the real-time unit condition data in the current time period is the same as the interval of the real-time unit condition data in the previous time period, changing the current capacity output value of the previous time period to a preset change value to obtain a current capacity output value corresponding to the current time period;

recording the current actual operation capacity value of the air conditioning system operating in the current time period according to the current capacity output value corresponding to the current time period;

determining optimization judgment data corresponding to the current time period according to the current capacity output value corresponding to the current time period, the current actual operation capacity value corresponding to the current time period, the current capacity output value corresponding to the previous time period and the current actual operation capacity value corresponding to the previous time period;

judging whether the optimizing judgment data corresponding to the current time period meets a preset optimizing standard or not;

if the optimization judgment data corresponding to the current time period does not accord with the preset optimization standard, taking the current actual operation capacity value corresponding to the last time period as an optimization actual operation capacity value, taking the current capacity output value corresponding to the last time period as an optimization capacity output value, and collecting the optimization actual operation capacity value and the optimization capacity output value to obtain a bidirectional optimization result corresponding to the interval where the unit condition real-time data is located;

if the optimization judgment data corresponding to the current time period accords with the preset optimization standard, bidirectional optimization is continuously carried out in the next time period until the optimization judgment data corresponding to the current time period does not accord with the preset optimization standard.

Further, in the above method for controlling optimization of capacity output of an air conditioning system, the bidirectional optimization operation includes: forward optimizing work and reverse optimizing work; the preset change value includes: presetting an added value and a reduced value;

the changing the current capacity output value of the last time period into a preset change value to obtain the current capacity output value corresponding to the current time period includes:

when the bidirectional optimization work is used as the forward optimization work, adding a preset adding value to the current capacity output value of the last time period to obtain the current capacity output value corresponding to the current time period;

when the bidirectional optimization work is used as the reverse optimization work, reducing a preset reduction value for the current capacity output value of the last time period to obtain a current capacity output value corresponding to the current time period;

the method for obtaining the bidirectional optimizing result corresponding to the interval of the unit condition real-time data by taking the current actual operation capacity value corresponding to the last time period as the optimizing actual operation capacity value, taking the current capacity output value corresponding to the last time period as the optimizing capacity output value, and integrating the optimizing actual operation capacity value and the optimizing capacity output value comprises the following steps:

when the bidirectional optimization is used as the forward optimization work, taking the current actual operation capacity value corresponding to the last time period as a forward optimization actual operation capacity value, taking the current capacity output value corresponding to the last time period as a forward optimization capacity output value, and collecting the forward optimization actual operation capacity value and the forward optimization capacity output value to obtain a forward optimization result corresponding to the interval where the unit condition real-time data is located;

when the bidirectional optimization work is used as the reverse optimization work, the current actual operation capacity value corresponding to the last time period is used as the reverse optimization actual operation capacity value, the current capacity output value corresponding to the last time period is used as the reverse optimization capacity output value, and the reverse optimization actual operation capacity value and the reverse optimization capacity output value are collected to obtain the reverse optimization result corresponding to the interval where the unit condition real-time data is located.

Further, in the above method for controlling optimization of capacity output of an air conditioning system, the determining a target capacity output value corresponding to an interval where the unit condition real-time data is located by performing numerical judgment on the forward optimization result and the reverse optimization result according to preset optimization judgment data includes:

judging whether the optimizing ratio of the forward optimizing actual operation capacity value in the forward optimizing result and the reverse optimizing actual operation capacity value in the reverse optimizing result is smaller than the preset optimizing judgment data or not;

if the optimizing ratio is smaller than the preset optimizing judgment data, taking the reverse optimizing capacity output value in the reverse optimizing result as a target capacity output value corresponding to the interval where the unit condition real-time data is located;

and if the optimizing ratio is not less than the preset optimizing judgment data, taking the forward optimizing capacity output value in the forward optimizing result as a target capacity output value corresponding to the interval where the unit condition real-time data is located.

Further, in the above method for controlling optimization of air conditioning system capacity output, before determining the optimization determination data corresponding to the current time period according to the current capacity output value corresponding to the current time period, the current actual operation capacity value corresponding to the current time period, the current capacity output value corresponding to the previous time period, and the current actual operation capacity value corresponding to the previous time period, the method further includes:

acquiring an optimization control type selected by a user in advance;

correspondingly, the determining optimization determination data corresponding to the current time period according to the current capability output value corresponding to the current time period, the current actual operation capability value corresponding to the current time period, the current capability output value corresponding to the previous time period, and the current actual operation capability value corresponding to the previous time period includes:

taking a first ratio of a current capacity output value corresponding to a current time period to a current capacity output value corresponding to a previous time period as an output capacity rate, taking a second ratio of a current actual operation capacity value corresponding to the current time period to a current actual operation capacity value corresponding to the previous time period as an actual operation capacity rate, and taking a third ratio of the actual operation capacity rate to the output capacity rate as an optimization conversion energy efficiency;

if the optimizing control type represents a comfort type, determining optimizing judgment data corresponding to the current time period as an actual operation capacity rate;

and if the optimizing control type represents the energy-saving type, determining that the optimizing judgment data corresponding to the current period comprises the actual operation capacity rate and the optimizing conversion energy efficiency.

Further, the optimizing control method for the capacity output of the air conditioning system further comprises the following steps:

and storing a target capacity output value corresponding to the interval where the real-time unit condition data is in into a preset capacity output control parameter table.

Further, in the above method for optimizing the capacity output of the air conditioning system, after acquiring real-time data of unit conditions and an initial capacity output value corresponding to the air conditioning system and taking the initial capacity output value as a current capacity output value, the method further includes:

judging whether the capacity output control parameter table has a capacity output value corresponding to the interval of the unit condition real-time data;

if the capacity output control parameter table has a capacity output value corresponding to the interval where the real-time unit condition data is located, taking the capacity output value as a target capacity output value;

correspondingly, the recording the current actual operation capacity value of the air conditioning system operating within the pre-calculated initial time period according to the current capacity output value includes:

if the capacity output control parameter table does not have the capacity output value corresponding to the interval where the real-time unit condition data is located, recording the current actual operation capacity value of the air conditioning system operating in the pre-calculated initial time period according to the current capacity output value.

Further, in the above method for controlling optimizing of capacity output of an air conditioning system, after determining whether an interval in which the real-time unit condition data is located in a current time period is the same as an interval in which the real-time unit condition data is located in a previous time period according to the rule for dividing the data interval, the method further includes:

and if the interval of the real-time unit condition data in the current time period is different from the interval of the real-time unit condition data in the previous time period, judging whether the capacity output control parameter table has a capacity output value corresponding to the interval of the real-time unit condition data.

Further, in the above optimizing control method for capacity output of an air conditioning system, the real-time unit condition data includes: outdoor environment real-time temperature and indoor unit real-time starting capacity rate.

The invention also provides an optimizing control device for the capacity output of the air conditioning system, which comprises the following components:

the system comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring real-time unit condition data and an initial capacity output value corresponding to an air conditioning system and taking the initial capacity output value as a current capacity output value;

the recording module is used for recording the current actual operation capacity value of the air conditioning system which operates in the pre-calculated initial time period according to the current capacity output value;

the bidirectional optimizing module is used for performing bidirectional optimizing of capacity output in a mode of iterative change on the current capacity output value in each time period according to the real-time unit condition data, the current capacity output value, the current actual operation capacity value and a preset data interval division rule, and determining a bidirectional optimizing result corresponding to an interval where the real-time unit condition data is located; the bidirectional optimizing result comprises the following steps: forward optimization results and reverse optimization results;

and the determining module is used for carrying out numerical judgment on the forward optimizing result and the reverse optimizing result according to preset optimizing judgment data, and determining a target capacity output value corresponding to an interval where the unit condition real-time data is located so that the air conditioning system operates according to the target capacity output value.

Further, in the above mentioned optimizing control device for capacity output of air conditioning system, the bidirectional optimizing module comprises: the device comprises an interval judgment unit, a change unit, an operation capacity recording unit, a judgment data determination unit, an optimization judgment unit and an optimization result determination unit;

the interval judgment unit is used for judging whether the interval of the real-time unit condition data in the current time period is the same as the interval of the real-time unit condition data in the previous time period according to the data interval division rule;

the changing unit is used for changing the current capacity output value of the previous time period into a preset changing value if the interval of the real-time unit condition data in the current time period is the same as the interval of the real-time unit condition data in the previous time period, so as to obtain the current capacity output value corresponding to the current time period;

the operation capacity recording unit is used for recording the current actual operation capacity value of the air conditioning system which operates in the current time period according to the current capacity output value corresponding to the current time period;

the determination data determining unit is used for determining optimization determination data corresponding to the current time period according to the current capacity output value corresponding to the current time period, the current actual operation capacity value corresponding to the current time period, the current capacity output value corresponding to the previous time period and the current actual operation capacity value corresponding to the previous time period;

the optimizing judgment unit is used for judging whether the optimizing judgment data corresponding to the current time period meets a preset optimizing standard or not;

the optimizing result determining unit is used for taking the current actual operation capacity value corresponding to the previous time period as an optimizing actual operation capacity value and taking the current capacity output value corresponding to the previous time period as an optimizing capacity output value if the optimizing judgment data corresponding to the current time period does not accord with the preset optimizing standard, and collecting the optimizing actual operation capacity value and the optimizing capacity output value to obtain a bidirectional optimizing result corresponding to the interval where the unit condition real-time data is located; if the optimization judgment data corresponding to the current time period accords with the preset optimization standard, forward optimization is continuously carried out in the next time period until the optimization judgment data corresponding to the current time period does not accord with the preset optimization standard.

The invention also provides an optimizing control system for the capacity output of the air conditioning system, which comprises the following components: the system comprises a processor and a memory connected with the processor;

the memory is used for storing a computer program, and the computer program is at least used for executing the optimizing control method of the capacity output of the air conditioning system;

the processor is used for calling and executing the computer program.

The present invention also provides an air conditioner, comprising: the optimizing control system comprises an air conditioning unit and the capacity output of the air conditioning system;

and the air conditioning unit is connected with an optimization control system for capacity output of the air conditioning system.

A method, a device and a system for optimizing and controlling capacity output of an air conditioning system and an air conditioner are provided, and the method comprises the following steps: acquiring real-time data of unit conditions and an initial capacity output value corresponding to the air conditioning system, and taking the initial capacity output value as a current capacity output value; recording the current actual operation capacity value of the air conditioning system operating in the pre-calculated initial time period according to the current capacity output value; according to the real-time data of the unit conditions, the current capacity output value, the current actual operation capacity value and a preset data interval division rule, performing bidirectional optimization of capacity output in a mode of iterative change of the current capacity output value in each time period, and determining a bidirectional optimization result corresponding to the interval where the real-time data of the unit conditions are located; and according to preset optimizing judgment data, carrying out numerical judgment on a forward optimizing result and a reverse optimizing result in the bidirectional optimizing result, and determining a target capacity output value corresponding to an interval where the unit condition real-time data is located so that the air conditioning system operates according to the target output capacity value. By adopting the technical scheme of the invention, the optimal target output capacity value under different unit conditions can be determined by utilizing a bidirectional optimization mode, and the capacity output of the air conditioning unit is realized according to the requirement, so that the energy waste is reduced, and the use effect of the air conditioner is improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a flow chart of an embodiment of the method for optimizing the capacity output of an air conditioning system of the present invention;

FIG. 2 is a flow chart of an optimization control method for capacity output of an air conditioning system according to another embodiment of the present invention;

FIG. 3 is a schematic structural diagram of an embodiment of an optimizing control device for capacity output of an air conditioning system according to the present invention;

FIG. 4 is a schematic diagram of an embodiment of an optimized control system for capacity output of an air conditioning system according to the present invention;

fig. 5 is a schematic structural diagram of an air conditioner according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.

Fig. 1 is a flowchart provided in an embodiment of a method for optimizing an air conditioning system capacity output according to the present invention, and as shown in fig. 1, the method for optimizing an air conditioning system capacity output specifically includes the following steps:

s101, acquiring real-time unit condition data and an initial capacity output value corresponding to the air conditioning system, and taking the initial capacity output value as a current capacity output value.

In this embodiment, in order to implement the on-demand output of the air conditioning unit, the unit conditions of the system are different, and the optimal capacity output value is different, so that in this embodiment, first, the real-time data of the unit conditions corresponding to the air conditioning system and the initial capacity output value Po need to be obtained, and the initial capacity output value Po is used as the current capacity output value Pmax _ n, where n represents the several time periods during which the unit operates, and therefore, the initial capacity output value Po is the current capacity output value Pmax _ 1. The real-time unit condition data comprises the following steps: outdoor environment real-time temperature and indoor unit real-time starting capacity rate. In the embodiment, the current use environment of the air conditioning unit can be known through the real-time outdoor environment temperature and the real-time indoor unit starting capacity rate.

And S102, recording the current actual operation capacity value of the air conditioning system operating in the pre-calculated initial time period according to the current capacity output value.

After the condition real-time data and the current capacity output value of the unit are obtained, the unit needs to record a current actual operation capacity value Xmax _ n of the air conditioning system operating in a pre-calculated initial time period according to the current capacity output value Pmax _ n, wherein the current capacity output value is Pmax _1 and the current actual operation capacity value is Xmax _1 because the current time period is the initial time period.

S103, performing bidirectional optimization of capacity output in a mode of iterative change on the current capacity output value in each time period according to the real-time unit condition data, the current capacity output value, the current actual operation capacity value and a preset data interval division rule, and determining a bidirectional optimization result corresponding to an interval where the real-time unit condition data is located.

The method comprises the steps of determining the interval where the real-time data of the unit conditions are located according to the real-time data of the unit conditions and a preset data interval division rule, then performing bidirectional optimization of unit capacity output by performing iterative change on a current capacity output value in each time period, and recording the current actual operation capacity value corresponding to each time period in the bidirectional optimization process, thereby determining the bidirectional optimization result corresponding to the interval where the real-time data of the unit conditions are located. The bidirectional optimization includes forward optimization and reverse optimization, so the bidirectional optimization result also includes a forward optimization result and a reverse optimization result, the step of performing bidirectional optimization requires forward optimization and reverse optimization, and the execution sequence of forward optimization and reverse optimization is not limited in this embodiment.

And S104, according to the preset optimizing judgment data, carrying out numerical judgment on a forward optimizing result and a reverse optimizing result in the bidirectional optimizing result, and determining a target capacity output value corresponding to an interval where the unit condition real-time data is located so that the air conditioning system operates according to the target output capacity value.

After the forward optimization result and the reverse optimization result are determined, the forward optimization result and the reverse optimization result need to be analyzed and subjected to numerical judgment according to preset optimization judgment data, so that a target capacity output value corresponding to an interval where unit condition real-time data is located is determined, and the air conditioning system takes the target capacity output value as an optimal capacity output value to perform capacity output. Therefore, different target capacity output values can be adopted according to different real-time data of the unit condition of the air conditioning system, the on-demand output of the unit capacity is realized, energy can be saved compared with the over-output of the unit, and the using effect of the air conditioning unit can be improved compared with the less-output of the unit.

The optimizing control method for the capacity output of the air conditioning system of the embodiment acquires real-time data of unit conditions and an initial capacity output value corresponding to the air conditioning system, and takes the initial capacity output value as a current capacity output value; recording the current actual operation capacity value of the air conditioning system operating in the pre-calculated initial time period according to the current capacity output value; according to the real-time data of the unit conditions, the current capacity output value, the current actual operation capacity value and a preset data interval division rule, performing bidirectional optimization of capacity output in a mode of iterative change of the current capacity output value in each time period, and determining a bidirectional optimization result corresponding to the interval where the real-time data of the unit conditions are located; and according to preset optimizing judgment data, carrying out numerical judgment on a forward optimizing result and a reverse optimizing result in the bidirectional optimizing result, and determining a target capacity output value corresponding to an interval where the unit condition real-time data is located so that the air conditioning system operates according to the target output capacity value. By adopting the technical scheme of the embodiment, the optimal target output capacity value under different unit conditions can be determined by utilizing a bidirectional optimization mode, and the capacity output of the air conditioning unit is realized according to the requirement, so that the energy waste is reduced, and the using effect of the air conditioner is improved.

Fig. 2 is a flowchart provided by another embodiment of the optimizing control method for capacity output of an air conditioning system according to the present invention, and as shown in fig. 2, step S103 of this embodiment specifically includes the following steps:

s201, judging whether the interval of the real-time data of the unit conditions in the current time period is the same as the interval of the real-time data of the unit conditions in the previous time period according to the data interval division rule.

In this embodiment, a data interval division rule is preset, it is necessary to determine an interval in which the real-time unit condition data in the current time period is located and an interval in which the real-time unit condition data in the previous time period is located according to the data interval division rule, and before performing bidirectional optimization, it is necessary to determine whether the real-time unit condition data in the current time period has an interval change compared with the previous time period, that is, it is necessary to determine whether the interval in which the real-time unit condition data in the current time period is located is the same as the interval in which the real-time unit condition data in the previous time period is located, so as to determine whether to perform bidirectional optimization work.

Specifically, the data interval division rule in this embodiment may be: the real-time outdoor environment temperature Te in the real-time unit condition data can be divided into intervals (T1, T2], (T2, T3) and (T3, T4), and the real-time indoor unit starting capacity rate eta in the real-time unit condition data can be divided into intervals (0, A% ], (A%, B% ]) and (B%, C%).

S202, if the interval of the unit condition real-time data in the current time period is the same as the interval of the unit condition real-time data in the previous time period, changing the current capacity output value of the previous time period into a preset change value to obtain the current capacity output value corresponding to the current time period.

And if the interval of the real-time data of the unit conditions in the current time period is the same as the interval of the real-time data of the unit conditions in the previous time period, changing the current capacity output value of the previous time period, changing a preset change value of the current capacity output value, and taking the changed value as the current capacity output value corresponding to the current time period.

Specifically, the bidirectional optimization work includes a forward optimization work and a reverse optimization work, and the preset change value includes a preset addition value and a preset reduction value. When forward optimization is carried out, a preset additional value needs to be added to the current capacity output value Pmax _ n in the previous time period, and the added value is used as the current capacity output value Pmax _ n +1 corresponding to the current time period to be Pmax _ n (1+ a%), wherein a is larger than 0; when the reverse optimization work is performed, a preset reduction value needs to be reduced for the current capacity output value in the previous time period, and the reduced value is used as the current capacity output value P 'max _ n +1 corresponding to the current time period, which is equal to P' max _ n (1-b%), and b is greater than 0. The capability output values in the forward optimization and the reverse optimization in this embodiment are distinguished by P and P'. The current actual runnability values in forward and reverse optimization are distinguished by X and X'.

And S203, recording the current actual operation capacity value of the air conditioning system operating in the current time period according to the current capacity output value corresponding to the current time period.

After the current capacity output value corresponding to the current time period is determined, the current actual operation capacity value of the air conditioning system operating in the current time period according to the current capacity output value corresponding to the current time period needs to be recorded.

S204, determining optimization judgment data corresponding to the current time period according to the current capacity output value corresponding to the current time period, the current actual operation capacity value corresponding to the current time period, the current capacity output value corresponding to the previous time period and the current actual operation capacity value corresponding to the previous time period.

In this embodiment, the optimization determination data corresponding to the current time period needs to be determined according to the current capability output value and the current actual operation capability value corresponding to the current time period, and the current capability output value and the current actual capability operation capability value corresponding to the previous time period. Specifically, in this step, a first ratio of a current capacity output value corresponding to a current time period to a current capacity output value corresponding to a previous time period is taken as an output capacity ratio (Δ P in forward optimization and Δ P 'in reverse optimization), a second ratio of a current actual operation capacity value corresponding to the current time period to a current actual operation capacity value corresponding to the previous time period is taken as an actual operation capacity ratio (Δ X in forward optimization and Δ X' in reverse optimization), and a third ratio of the actual operation capacity ratio to the output capacity ratio is taken as an optimization conversion capacity ratio (η P in forward optimization, η P ═ Δ X/Δ P, η P 'in reverse optimization, and Δ P'/Δ X '/Δ P').

Specifically, it is also necessary to acquire an optimization control type selected by the user in advance before this step, where the optimization control type includes a comfort type and an energy saving type. If the optimizing control type represents a comfort type, determining optimizing judgment data corresponding to the current time period as an actual operation capacity rate; and if the optimization control type represents the energy-saving type, determining that the optimization judgment data corresponding to the current period comprises the actual operation capacity rate and the optimization conversion energy efficiency.

S205, judging whether the optimization judgment data corresponding to the current time period meets a preset optimization standard, if so, executing the step S207; if not, go to step S206.

After determining the optimization determination data corresponding to the current time period, it needs to determine whether the optimization determination data meets the preset optimization criteria, and if so, executes step S207; if not, go to step S206.

Specifically, when the optimization control type indicates the comfort type, it is necessary to determine whether the actual operation capacity rate corresponding to the current time period meets a preset optimization standard, and if the actual operation capacity rate is greater than one, it indicates that the optimization determination data corresponding to the current time period meets the preset optimization standard; and if the actual operation capacity rate is not greater than one, indicating that the optimization judgment data corresponding to the current time period does not meet the preset optimization standard.

When the optimization control type represents the energy-saving type, whether the actual operation capacity rate and the optimization conversion energy efficiency corresponding to the current time period both accord with the preset optimization standard needs to be judged, and if the actual operation capacity rate is more than one and the optimization conversion energy efficiency is more than one, the optimization judgment data corresponding to the current time period accords with the preset optimization standard is shown; and if the actual operation capacity rate is not greater than one or the optimization conversion energy efficiency is not greater than one, indicating that the optimization judgment data corresponding to the current time period does not meet the preset optimization standard. In the embodiment, the optimization control types are divided into a comfort type and an energy-saving type, the target capacity output value can be determined according to whether the air conditioning unit pays attention to comfort or energy conservation, and the practicability of the air conditioning system is improved.

S206, taking the current actual operation capacity value corresponding to the last time period as an optimization actual operation capacity value, taking the current capacity output value corresponding to the last time period as an optimization capacity output value, and integrating the optimization actual operation capacity value and the optimization capacity output value to obtain a bidirectional optimization result corresponding to the interval where the real-time data of the unit condition are located.

And if the optimization judging data corresponding to the current time period is judged to be not in accordance with the preset optimization standard, finishing the optimization work.

If the bidirectional optimization work is the forward optimization work, the current actual operation capacity value Xmax _ n corresponding to the previous time period is required to be used as the forward optimization actual operation capacity value Xmax, and the current capacity output value Pmax _ n corresponding to the previous time period is used as the forward optimization capacity output value Pmax, that is, Xmax is Xmax _ n, and Pmax is Pmax _ n. And taking the set of the forward optimization actual operation capacity value and the forward optimization output value as a forward optimization result corresponding to the interval of the real-time data of the unit condition.

If the bidirectional optimization work is the reverse optimization work, the current actual operation capacity value X 'max _ n corresponding to the previous time period needs to be taken as the reverse optimization actual operation capacity value X' max, and the current capacity output value P 'max _ n corresponding to the previous time period needs to be taken as the reverse optimization capacity output value P' max, that is, X 'max is equal to X' max _ n, and P 'max is equal to P' max _ n. And taking the set of the reverse optimization actual operation capacity value and the reverse optimization output capacity value as a reverse optimization result corresponding to the interval of the unit condition real-time data. The bidirectional optimization result corresponding to the interval where the real-time unit condition data is located comprises the forward optimization result and the reverse optimization result.

And S207, entering a next time period, taking the current time period as the previous time period, and taking the next time period as the current time period.

If the optimization judgment data corresponding to the current time period is judged to meet the preset optimization standard, the optimization work is required to be continuously carried out, the next time period is entered, the current time period is taken as the previous time period, the next time period is taken as the current time period, then the judgment of whether the unit condition real-time data in the current time period is changed within a range is continuously carried out, the bidirectional optimization result is determined until the optimization judgment data corresponding to the current time period does not meet the preset optimization standard, and then the optimization work is stopped.

Further, step S104 in this embodiment specifically includes the following steps:

first, it is determined whether the seek ratio of the forward seek actual operation ability value in the forward seek result to the reverse seek actual operation ability value in the reverse seek result is less than the preset seek determination data.

After the bidirectional optimization result corresponding to the interval where the unit condition real-time data is located is determined, the optimization ratio of the forward optimization actual operation capacity value Xmax in the forward optimization result and the reverse optimization actual operation capacity value X' max in the reverse optimization result needs to be determined, and then whether the optimization ratio is smaller than the preset optimization determination data a or not is judged, wherein the preset optimization determination data a is larger than 1.

And secondly, if the optimization ratio is smaller than the preset optimization judgment data, taking the reverse optimization capacity output value in the reverse optimization result as a target capacity output value corresponding to the interval where the unit condition real-time data is located.

If the optimization ratio is smaller than the preset optimization judgment data, the reverse optimization is effective, and the reverse optimization capability output value P' max in the reverse optimization result is used as a target capability output value corresponding to the interval where the unit condition real-time data is located.

And thirdly, if the optimizing ratio is not less than the preset optimizing judgment data, taking the forward optimizing capacity output value in the forward optimizing result as a target capacity output value corresponding to the interval where the real-time data of the unit condition is located.

If the optimizing ratio is judged to be not less than the preset optimizing judgment data, the forward optimizing is indicated to be effective, and the forward optimizing capability output value Pmax in the reverse optimizing result is used as a target capability output value corresponding to the interval where the unit condition real-time data is located.

Further, the optimizing control method for the capacity output of the air conditioning system of the embodiment further comprises the following steps:

In this embodiment, the capacity output control parameter table is preset, and after the target capacity output value corresponding to the interval where the unit condition real-time data is located is determined, the target capacity output value needs to be stored in the capacity output control parameter table according to the interval where the unit condition real-time data is located, so that when the air conditioning system works next time, if the interval where the unit condition real-time data is located is the same as the current time, the target capacity output value can be directly obtained from the capacity output control parameter table without performing optimization work. In addition, different optimizing control types correspond to different capability output control parameter tables, and the target capability output value determined under different optimizing control types needs to be stored in the capability output control parameter table corresponding to the optimizing control type. As shown in the following table, table 1 is a capability output control parameter table.

TABLE 1

Further, in the optimizing control method for the capacity output of the air conditioning system according to the present embodiment, after the step S101 is executed, the following steps are also executed:

firstly, judging whether the capacity output control parameter table has a capacity output value corresponding to the interval where the unit condition real-time data is located.

After the real-time unit condition data corresponding to the air conditioning system is acquired, the interval where the real-time unit condition data is located needs to be determined by using a data interval division rule, and then whether the capacity output value corresponding to the interval where the real-time unit condition data is located exists is inquired from a capacity output control parameter table.

And secondly, if the capacity output control parameter table has a capacity output value corresponding to the interval where the real-time unit condition data is located, taking the capacity output value as a target capacity output value.

And if the capacity output value corresponding to the interval where the real-time unit condition data is located is inquired from the capacity output control parameter table, taking the capacity output value as a target capacity output value so that the air conditioning unit works according to the target capacity output value. If the capacity output value corresponding to the interval where the unit condition real-time data is located is not inquired from the capacity output control parameter table, the steps S102-S104 are required to be executed to determine the target capacity output value corresponding to the interval where the unit condition real-time data is located.

Further, in the optimizing control method for the capacity output of the air conditioning system according to the present embodiment, after the step S201 is executed, the following steps are also executed:

if the interval of the unit condition real-time data in the current time period is different from the interval of the unit condition real-time data in the previous time period, it is indicated that the unit condition real-time data in the current time period has interval change, and whether the capacity output value corresponding to the interval of the unit condition real-time data exists in the capacity output control parameter table needs to be judged again.

And if the capacity output value corresponding to the interval where the unit condition real-time data is located exists in the capacity output control parameter table, taking the capacity output value as a target capacity output value corresponding to the interval where the unit condition real-time data is located, so that the air conditioning unit works according to the target capacity output value.

If the capacity output value corresponding to the interval where the unit condition real-time data is located does not exist in the capacity output control parameter table, the operation in the embodiment needs to be repeated again, and under the condition that the unit condition real-time data after interval change is generated, the initial capacity output value is obtained and bidirectional optimization is performed again, so that the target capacity output value corresponding to the unit condition real-time data after interval change is determined.

In addition, in this embodiment, for the air conditioning unit with capability calculation, the output capability value of the outdoor unit and the heat exchange amount of the indoor unit can be directly obtained, and the heat exchange amount is the actual operation capability value of the unit.

For the air conditioning unit without capacity calculation, equivalent substitution can be carried out by adopting variable parameters reflecting capacity output of the outdoor unit and actual heat exchange quantity of the indoor unit. For example, the heating capacity output of the air conditioning unit can be replaced by the high-pressure parameter on the exhaust side of the compressor of the unit in an equivalent manner; the refrigerating capacity is output, and the low-pressure parameter of the suction side of the compressor of the unit can be equivalently replaced. The actual heat exchange quantity of the indoor unit can be replaced by the air outlet temperature of the indoor unit when the indoor unit is started or the temperature difference of the inlet pipe and the outlet pipe of the indoor unit in an equivalent manner.

The following explains the technical solution of the present invention with a specific embodiment (the embodiment takes the type of optimizing control to represent the comfort type as an example):

firstly, the machine set obtains the corresponding outdoor environment real-time temperature Te and the indoor machine real-time starting capacity rate eta, and inquires whether the corresponding capacity output value exists from the capacity output control parameter table, if so, the capacity output value is taken as a target capacity output value, and if not, the following optimization work is carried out.

The machine set finds the corresponding outdoor environment real-time temperature Te and the initial capacity output value Po when the machine set is not optimized in the interval range of the indoor machine real-time starting capacity rate eta, and Te and eta are recorded as the current use environment of the machine set at the moment. The unit records an actual operation capacity value Xo of the inner side of the inner chamber in a first operation period according to the Po control operation period T, and the Xo is defaulted to be a current actual operation capacity value Xmax, namely Xmax is Xo.

And then entering the next operation period T, judging whether interval change occurs to Te and eta compared with the last period, if so, judging whether the optimal Pmax (namely the target capacity output value) exists in the capacity output control parameter table in the changed Te and eta interval again, and repeating the operation. If not, the cycle is optimized in the forward direction, and the current capacity output value adds the capacity on the basis of the initial capacity output value Po, that is, the current capacity output value Pmax _ n is Po (1+ a%), wherein a is greater than 0. The actual operational capacity value Xmax _ n inside the chamber for this period is recorded. And determining the effectiveness of the optimization by calculating the two actual operation capacity rate delta X, wherein the delta X is Xmax _ n/Xo. When the delta X is less than or equal to 1, the optimization is invalid, the forward optimization is finished, and the forward optimization result is recorded, namely the forward optimization capability output value and the forward optimization actual operation capability value are the capability output and the corresponding actual operation capability in the last period of the adjustment, and the adjustment is performed for the first time, so the capability output before the adjustment is the initial capability output value Po, and the corresponding actual operation capability value is Xo. When the delta X is larger than 1, the optimization is effective, and the next step of forward optimization is carried out.

And (4) next, forward optimization is carried out, whether interval change occurs to Te and eta in comparison with the last period or not is judged, if yes, whether the optimal Pmax (namely the target capacity output value) exists in the capacity output control parameter table in the changed Te and eta interval or not is judged again, and the operation is repeated. If not, the optimization control is started, namely the unit continues to add the capacity on the basis of the current capacity output value Pmax _ n, namely the current capacity output value Pmax _ n +1 is Pmax _ n (1+ a%) in the current optimization cycle, wherein a is larger than 0. The actual runnability value Xmax _ n +1 of the inner side of the chamber is recorded for this period. And determining the effectiveness of the optimization by calculating the two times of actual capacity rate delta X, wherein the delta X is Xmax _ n +1/Xmax _ n. When the delta X is less than or equal to 1, the optimization is invalid, the forward optimization is finished, and the forward optimization result is recorded, namely the forward optimization capability output value and the forward optimization actual operation capability value are the capability output and the corresponding actual capability in the last period of the current regulation, wherein Pmax is Pmax _ n, and Xmax is Xmax _ n. When the delta X is larger than 1, the optimization is effective, the next step of forward optimization is carried out, and the steps are circulated until the optimization is ineffective.

The reverse optimization is consistent with the forward optimization, and the difference is that the capacity is reduced instead of being added during the reverse optimization control, that is, when the reverse optimization control is entered, the current maximum capacity output P 'max _ n +1 ═ P' max _ n (1-b%) in the current optimization cycle is provided, wherein b is greater than 0. When the reverse optimization is finished, the reverse optimization result is recorded, namely Pmax ═ P ' max _ n, and X ' max ═ X ' max _ n.

And finally, in order to determine the effectiveness of bidirectional optimization, judging through the ratio of the actual forward optimization capability to the actual reverse optimization capability, when Xmax _ n/X 'max _ n is larger than or equal to A, the forward optimization is effective, and under the condition of Te and eta, the maximum capability output of the unit is output according to a forward optimization result Pmax _ n, wherein A is larger than 1, otherwise, the maximum capability output is output according to a reverse optimization result P' max _ n. And meanwhile, the capability output control parameter table is updated, so that the optimal target capability output value can be directly obtained in the next operation.

In order to be more comprehensive, the invention further provides an optimization control device of the capacity output of the air conditioning system, which corresponds to the optimization control method of the capacity output of the air conditioning system provided by the embodiment of the invention.

Fig. 3 is a schematic structural diagram of an embodiment of the optimizing control device for the capacity output of the air conditioning system according to the present invention, and as shown in fig. 3, the optimizing control device for the capacity output of the air conditioning system according to the present embodiment includes: the device comprises an acquisition module 11, a recording module 12, a bidirectional optimizing module 13 and a determination module 14.

The acquiring module 11 is configured to acquire real-time unit condition data and an initial capacity output value corresponding to the air conditioning system, and use the initial capacity output value as a current capacity output value;

the recording module 12 is used for recording the current actual operation capacity value of the air conditioning system which operates in the pre-calculated initial time period according to the current capacity output value;

the bidirectional optimizing module 13 is configured to perform bidirectional optimizing of capability output in each time period by using a manner of iteratively changing the current capability output value according to the real-time unit condition data, the current capability output value, the current actual operation capability value and a preset data interval division rule, and determine a bidirectional optimizing result corresponding to an interval where the real-time unit condition data is located; the bidirectional optimization results comprise: forward optimization results and reverse optimization results;

and the determining module 14 is configured to perform numerical judgment on the forward optimization result and the reverse optimization result according to preset optimization judgment data, and determine a target capacity output value corresponding to an interval where the unit condition real-time data is located, so that the air conditioning system operates according to the target capacity output value.

The optimizing control device for the capacity output of the air conditioning system can determine the optimal target output capacity value under different unit conditions by utilizing a bidirectional optimizing mode, and realize the capacity output of the air conditioning unit as required, thereby reducing the energy waste and improving the use effect of the air conditioner.

Further, in the optimizing control device for the capacity output of the air conditioning system of the present embodiment, the bidirectional optimizing module 13 includes: the device comprises an interval judgment unit, a change unit, an operation capacity recording unit, a judgment data determination unit, an optimization judgment unit and an optimization result determination unit;

the changing unit is used for changing the current capacity output value of the previous time period into a preset changing value to obtain a current capacity output value corresponding to the current time period if the interval of the unit condition real-time data in the current time period is the same as the interval of the unit condition real-time data in the previous time period;

the judging data determining unit is used for determining optimizing judging data corresponding to the current time period according to the current capacity output value corresponding to the current time period, the current actual operation capacity value corresponding to the current time period, the current capacity output value corresponding to the last time period and the current actual operation capacity value corresponding to the last time period;

the optimizing judging unit is used for judging whether the optimizing judging data corresponding to the current time period meets the preset optimizing standard or not;

the optimizing result determining unit is used for taking the current actual running capacity value corresponding to the previous time period as an optimizing actual running capacity value and taking the current capacity output value corresponding to the previous time period as an optimizing capacity output value if the optimizing judgment data corresponding to the current time period does not accord with the preset optimizing standard, and integrating the optimizing actual running capacity value and the optimizing capacity output value to obtain a bidirectional optimizing result corresponding to the interval where the unit condition real-time data is located; if the optimization judgment data corresponding to the current time period accords with the preset optimization standard, forward optimization is continuously carried out in the next time period until the optimization judgment data corresponding to the current time period does not accord with the preset optimization standard.

Further, in the optimizing control device for the capacity output of the air conditioning system according to the present embodiment, the bidirectional optimizing operation includes: forward optimizing work and reverse optimizing work; the preset change value includes: a preset addition value and a preset reduction value.

The change unit is specifically used for adding a preset adding value to the current capacity output value of the previous time period when the bidirectional optimization work is used as the forward optimization work to obtain the current capacity output value corresponding to the current time period; when the bidirectional optimization work is the reverse optimization work, reducing a preset reduction value for the current capacity output value of the last time period to obtain a current capacity output value corresponding to the current time period;

the optimizing result determining unit is specifically used for taking the current actual running capacity value corresponding to the last time period as the forward optimizing actual running capacity value and taking the current capacity output value corresponding to the last time period as the forward optimizing capacity output value when the bidirectional optimizing work is taken as the forward optimizing work, and integrating the forward optimizing actual running capacity value and the forward optimizing capacity output value to obtain a forward optimizing result corresponding to the interval where the real-time data of the unit condition is located; when the bidirectional optimization work is reverse optimization work, the current actual operation capacity value corresponding to the last time period is used as a reverse optimization actual operation capacity value, the current capacity output value corresponding to the last time period is used as a reverse optimization capacity output value, the reverse optimization actual operation capacity value and the reverse optimization capacity output value are integrated, and a reverse optimization result corresponding to the interval where the unit condition real-time data is located is obtained.

Further, in the optimizing control device for the capability output of the air conditioning system according to the embodiment, the determining module 14 is specifically configured to determine whether a optimizing ratio of a forward optimizing actual operation capability value in the forward optimizing result to a reverse optimizing actual operation capability value in the reverse optimizing result is smaller than preset optimizing determination data; if the optimization ratio is smaller than the preset optimization judgment data, taking the reverse optimization capability output value in the reverse optimization result as a target capability output value corresponding to the interval where the unit condition real-time data is located; and if the optimizing ratio is not less than the preset optimizing judgment data, taking the forward optimizing capacity output value in the forward optimizing result as a target capacity output value corresponding to the interval where the real-time data of the unit condition is located.

Further, in the optimizing control device for the capacity output of the air conditioning system of the present embodiment, the obtaining module 11 is further configured to obtain the optimizing control type selected by the user in advance.

The judging data determining unit is specifically used for taking a first ratio of a current capacity output value corresponding to a current time period to a current capacity output value corresponding to a previous time period as an output capacity rate, taking a second ratio of a current actual operation capacity value corresponding to the current time period to a current actual operation capacity value corresponding to the previous time period as an actual operation capacity rate, and taking a third ratio of the actual operation capacity rate to the output capacity rate as an optimizing conversion energy efficiency; if the optimization control type represents a comfort type, determining optimization judgment data corresponding to the current time period as an actual operation capacity rate; and if the optimization control type represents the energy-saving type, determining that the optimization judgment data corresponding to the current period comprises the actual operation capacity rate and the optimization conversion energy efficiency.

Further, the optimizing control device for the capacity output of the air conditioning system of the embodiment further comprises a storage module, which is used for storing a target capacity output value corresponding to the interval where the real-time unit condition data is located into a preset capacity output control parameter table.

Further, the optimizing control device for the capacity output of the air conditioning system of the embodiment further comprises a judging module, configured to judge whether a capacity output value corresponding to an interval where the unit condition real-time data is located exists in the capacity output control parameter table;

the determining module 14 is further configured to, if an ability output value corresponding to an interval where the unit condition real-time data is located exists in the ability output control parameter table, take the ability output value as a target ability output value;

the recording module 12 is specifically configured to record a current actual operation capacity value of the air conditioning system operating within a pre-calculated initial time period according to the current capacity output value if the capacity output value corresponding to the interval where the unit condition real-time data is located does not exist in the capacity output control parameter table.

Further, in the optimizing control device for the capacity output of the air conditioning system of the present embodiment, the bidirectional optimizing module 13 further includes: and (5) a circulating unit.

And the circulating unit is used for judging whether the capacity output control parameter table has a capacity output value corresponding to the interval of the real-time condition data of the unit again if the interval of the real-time condition data of the unit in the current time period is different from the interval of the real-time condition data of the unit in the previous time period.

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

Fig. 4 is a schematic structural diagram provided by an embodiment of the optimizing control system for capacity output of an air conditioning system according to the present invention, and as shown in fig. 4, the optimizing control system for capacity output of an air conditioning system according to the present embodiment includes: a processor 21 and a memory 22 connected to the processor 21; the memory 22 is used for storing a computer program for executing at least the optimization control method of the air conditioning system capacity output of the above embodiment; the processor 21 is used to call and execute the computer program.

The optimization control system for the capacity output of the air conditioning system can determine the optimal target output capacity value under different unit conditions by utilizing a bidirectional optimization mode, and realize the capacity output of the air conditioning unit according to the requirement, thereby reducing the energy waste and improving the use effect of the air conditioner.

Fig. 5 is a schematic structural diagram of an air conditioner according to an embodiment of the present invention. As shown in fig. 5, the air conditioner of the present embodiment includes an air conditioning unit 31 and an optimization control system 32 for the capacity output of the air conditioning system described in the above embodiment, and the air conditioning unit 31 is connected to the optimization control system 32 for the capacity output of the air conditioning system.

The air conditioner of the embodiment can determine the optimal target output capacity value under different unit conditions by utilizing a bidirectional optimization mode, and realizes the capacity output of the air conditioning unit according to the requirement, thereby reducing the energy waste and improving the using effect of the air conditioner.

It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.

It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.

In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims

1. An optimization control method for capacity output of an air conditioning system is characterized by comprising the following steps:

2. The optimizing control method for capacity output of an air conditioning system according to claim 1, wherein the determining of the bidirectional optimization result corresponding to the interval of the real-time data of the unit conditions by performing bidirectional optimization for capacity output in a manner of iteratively changing the current capacity output value in each time period according to the real-time data of the unit conditions, the current capacity output value, the current actual operation capacity value and a preset data interval division rule comprises:

3. The method of claim 2, wherein the bi-directional optimizing operation comprises: forward optimizing work and reverse optimizing work; the preset change value includes: presetting an added value and a reduced value;

4. The optimizing control method for capacity output of an air conditioning system according to claim 3, wherein the numerical judgment of the forward optimizing result and the reverse optimizing result according to preset optimizing judgment data to determine the target capacity output value corresponding to the interval where the unit condition real-time data is located comprises:

5. The method of claim 2, wherein before determining the optimization decision data corresponding to the current time period according to the current capacity output value corresponding to the current time period, the current actual operation capacity value corresponding to the current time period, the current capacity output value corresponding to the previous time period, and the current actual operation capacity value corresponding to the previous time period, the method further comprises:

acquiring an optimization control type selected by a user in advance;

6. The method of claim 2, further comprising:

7. The method for optimizing control of capacity output of an air conditioning system according to claim 6, wherein the step of obtaining real-time unit condition data and an initial capacity output value corresponding to the air conditioning system, and using the initial capacity output value as a current capacity output value, further comprises:

8. The method as claimed in claim 7, wherein after determining whether the interval of the real-time unit condition data in the current time period is the same as the interval of the real-time unit condition data in the previous time period according to the data interval division rule, the method further comprises:

9. An optimization control method for capacity output of an air conditioning system according to any one of claims 1 to 8, wherein the real-time unit condition data comprises: outdoor environment real-time temperature and indoor unit real-time starting capacity rate.

10. An optimizing control device for capacity output of an air conditioning system, comprising:

11. The apparatus for optimizing the capacity output of an air conditioning system according to claim 10, wherein the bi-directional optimizing module comprises: the device comprises an interval judgment unit, a change unit, an operation capacity recording unit, a judgment data determination unit, an optimization judgment unit and an optimization result determination unit;

12. An optimization control system for capacity output of an air conditioning system, comprising: the system comprises a processor and a memory connected with the processor;

the memory is used for storing a computer program at least for executing the optimizing control method of the capacity output of the air conditioning system according to any one of claims 1 to 9;

the processor is used for calling and executing the computer program.

13. An air conditioner, comprising: an air conditioning assembly and an optimization control system for the capacity output of the air conditioning system as claimed in claim 12;