Intelligent air environment controller based on air-cooled circulating central air conditioner

Abstract

According to the intelligent air environment controller based on the air-cooled circulating central air conditioner, the working parameters of the air-cooled circulating central air conditioner are obtained, the flowing speed and the flowing direction of indoor air under the working parameters are collected, the working parameters, the flowing speed and the flowing direction are learned based on artificial intelligence, and the indoor air environment is obtained. Determining a numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flowing speed and flowing direction, and determining a current working parameter, a current flowing speed and a current flowing direction on the basis of the numerical simulation relationship in combination with a current task of the air-cooled circulating central air conditioner; and based on the current flowing speed and the current flowing direction, the working parameters of the air purification equipment are determined in combination with the state of the air purification equipment, accurate and efficient linkage control over ventilation of the air conditioner and the operation state of the air purification equipment is achieved to purify the indoor air environment, and the indoor air purification effect is guaranteed.

Description

Technical Field

[0001] The present invention relates to, in particular to, an intelligent air environment controller based on an air-cooled circulating central air conditioner. Background Art

[0002] If the indoor environment is not ventilated, it is easy to cause poor air quality problems, such as CO2, indoor odor and other harmful gases. These substances have serious impacts on human health. Living in a seriously polluted environment for a long time will increase the chance of illness. Indoor air quality is of great significance for protecting health and improving the quality of life, especially in newly renovated houses and office spaces.

[0003] When the indoor air environment is unclean, in order to improve the indoor air environment quickly and effectively, the indoor air has problems such as fluidity and directional uncertainty, which makes it a difficult problem to accurately and efficiently control the operating status of air conditioning ventilation and air purification equipment to purify the indoor air environment. Summary of the invention

[0004] The present invention provides an intelligent air environment controller based on an air-cooled circulating central air conditioner, which is used to solve the problems raised in the background technology.

[0005] An intelligent air environment controller based on an air-cooled circulating central air conditioner, comprising:

[0006] An acquisition module, used to acquire the working parameters of the air-cooled circulating central air conditioner, and collect the indoor air flow speed and flow direction under the working parameters;

[0007] A learning module, for learning the working parameters, flow velocity and flow direction based on artificial intelligence, and determining a numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flow velocity and flow direction;

[0008] A determination module, used to determine the current working parameters, the current flow velocity and the current flow direction based on the numerical simulation relationship and in combination with the current task of the air-cooled cycle central air conditioner;

[0009] The control module is used to determine the working parameters of the air purification device based on the current flow speed and the current flow direction in combination with the state of the air purification device.

[0010] Preferably, the acquisition module includes:

[0011] A sequence acquisition unit, used to acquire the working parameter range of the air-cooled cycle central air conditioner, select the working parameter range at equal intervals, and obtain a working parameter sequence;

[0012] An air conditioning control unit, used for controlling the air-cooled circulating central air conditioning to operate according to the operating parameter sequence;

[0013] The data acquisition unit is used to collect the indoor air flow speed and flow direction corresponding to each group of working parameters in the working parameter sequence.

[0014] Preferably, the sequence acquisition unit comprises:

[0015] a density determination unit, configured to determine the length of the working parameter range and determine a target data density based on a relationship between data density and simulation accuracy;

[0016] The selection unit is used to determine the interval size based on the target data density and the working parameter range, and select the working parameter range at equal intervals according to the interval size to obtain the working parameter sequence.

[0017] Preferably, the learning module includes:

[0018] A numerical simulation unit is used to use the working parameters, flow velocity and flow direction as main parameters, and other parameters of the air-cooled circulating central air conditioner as auxiliary parameters to perform numerical simulation on the working process of the air-cooled circulating central air conditioner, establish a numerical simulation model, and output numerical simulation results based on the numerical simulation model;

[0019] A database construction unit, used to construct a working process database of the air-cooled circulating central air conditioner based on the numerical simulation results, wherein the working process database includes data of various parameters during the working process of the air-cooled circulating central air conditioner;

[0020] A training and evaluation unit, used to use the working parameters, flow velocity and flow direction in the working process database as training data, and the air conditioning energy efficiency ratio, cooling capacity or heating capacity as evaluation indicators to perform artificial intelligence model training and evaluation, determine the numerical relationship between the working parameters, flow velocity and flow direction that meets the preset indicator level according to the training and evaluation results, and establish a functional relationship expression based on the numerical relationship, wherein one indicator level corresponds to one functional relationship expression;

[0021] The relationship determination unit is used to perform finite element analysis on the correspondence between the index level and the functional relationship expression using a numerical simulation model, and determine the numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flow speed and flow direction according to the analysis results.

[0022] Preferably, the relationship determination unit includes:

[0023] An analysis unit, used for performing finite element analysis on the correspondence between the index level and the functional relationship expression by using a numerical simulation model, and establishing a set of equations for each functional relationship expression;

[0024] A unit is established for establishing a numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flow speed and flow direction based on the solution results of the equation group.

[0025] Preferably, the determining module includes:

[0026] A parameter acquisition unit, used to determine effect parameters based on the current task of the air-cooled cycle central air conditioner, and to acquire a parameter group satisfying the effect parameters from the numerical simulation relationship;

[0027] The parameter selection unit is used to select the optimal parameter group from the parameter group as the current working parameter, the current flow speed and the current flow direction based on the air purification demand.

[0028] Preferably, the parameter selection unit includes:

[0029] An evaluation unit, configured to evaluate each group of parameters in the parameter group based on air purification requirements, and determine an evaluation value that meets the air purification requirements;

[0030] The optimal selection unit is used to select the parameter group with the highest evaluation value as the optimal parameter group, and determine the current working parameters, current flow speed and current flow direction from the optimal parameter group.

[0031] Preferably, the control module comprises:

[0032] A direction determination unit, used to determine a target flow direction for air purification based on the current flow direction and in combination with the position characteristics of the air purification device;

[0033] A speed determination unit, used to obtain an air environment detection value of indoor air, obtain a numerical difference between the air environment detection value and a target control environment value, and determine a target flow speed of air purification based on the numerical difference and a purification time requirement;

[0034] a target parameter acquisition unit, configured to determine a purification direction of the air purification device based on a direction difference between the current flow direction and the target flow direction, and to determine a purification speed of the air purification device based on a speed difference between the current flow speed and the target flow speed in combination with the direction difference;

[0035] The parameter determination unit is used to determine the working parameters of the air purification device according to the purification speed and purification direction.

[0036] Preferably, the target parameter unit includes:

[0037] A weighting unit, configured to determine a first direction weight of the air purification device based on a relative position relationship between a position of the indoor exhaust port and a position feature of the air purification device, and determine a second direction weight based on the direction difference;

[0038] A weighted processing unit is used to determine an initial purification direction of the air purification device based on the target flow direction, determine a target direction weight based on the first direction weight and the second direction weight, and perform weighted processing on the initial purification direction based on the target direction weight to obtain the purification direction of the air purification device.

[0039] Preferably, the parameter determination unit includes:

[0040] A combination determination unit, used to determine a combination of wind speed, power and wind direction of the air purification device that satisfies the purification speed and purification direction;

[0041] The purification selection unit is used to select the energy efficiency value of the air purification equipment under the combination of wind speed, power and wind direction, and select the combination of wind speed, power and wind direction with the highest energy efficiency value as the working parameter of the air purification equipment.

[0042] Compared with the prior art, the present invention has achieved the following beneficial effects:

[0043] By acquiring the working parameters of the air-cooled circulating central air conditioner and collecting the indoor air flow speed and flow direction under the working parameters, the working parameters, flow speed and flow direction are learned based on artificial intelligence, and the numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flow speed and flow direction is determined. Based on the numerical simulation relationship, in combination with the current task of the air-cooled circulating central air conditioner, the current working parameters, current flow speed and current flow direction are determined. Based on the current flow speed and current flow direction, in combination with the state of the air purification equipment, the working parameters of the air purification equipment are determined, so as to realize accurate and efficient linkage control of the operating state of the air conditioning ventilation and the air purification equipment to purify the indoor air environment and ensure the indoor air purification effect.

[0044] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0045] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0047] Figure 1 This is a structural diagram of an intelligent air environment controller based on an air-cooled circulating central air conditioner in an embodiment of the present invention;

[0048] Figure 2 is a structural diagram of the acquisition module described in an embodiment of the present invention;

[0049] Figure 3 It is a structural diagram of the determination module described in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0051] Embodiment 1:

[0052] The embodiment of the present invention provides an intelligent air environment controller based on air-cooled circulating central air conditioner, such as Figure 1 As shown, including:

[0053] An acquisition module, used to acquire the working parameters of the air-cooled circulating central air conditioner, and collect the indoor air flow speed and flow direction under the working parameters;

[0054] A learning module, for learning the working parameters, flow velocity and flow direction based on artificial intelligence, and determining a numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flow velocity and flow direction;

[0055] A determination module, used to determine the current working parameters, the current flow velocity and the current flow direction based on the numerical simulation relationship and in combination with the current task of the air-cooled cycle central air conditioner;

[0056] The control module is used to determine the working parameters of the air purification device based on the current flow speed and the current flow direction in combination with the state of the air purification device.

[0057] In this embodiment, the operating parameters of the air-cooled circulation central air conditioner include cooling and heating modes, wind direction flow, wind speed, etc.

[0058] In this embodiment, the indoor air flow speed and flow direction are obtained according to a detector.

[0059] In this embodiment, the numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flow speed and flow direction is to determine that different working parameters correspond to different speeds and directions, and obtain the numerical relationship followed by the two.

[0060] In this embodiment, the working parameters of the air purification device include purification type, rate, etc.

[0061] The beneficial effect of the above design scheme is: by obtaining the working parameters of the air-cooled circulating central air conditioner, and collecting the indoor air flow speed and flow direction under the working parameters, the working parameters, flow speed and flow direction are learned based on artificial intelligence, and the numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flow speed and flow direction is determined; based on the numerical simulation relationship, in combination with the current task of the air-cooled circulating central air conditioner, the current working parameters, current flow speed and current flow direction are determined; based on the current flow speed and current flow direction, in combination with the state of the air purification equipment, the working parameters of the air purification equipment are determined, and accurate and efficient linkage control of the air conditioning ventilation and the operating state of the air purification equipment is achieved to purify the indoor air environment and ensure the indoor air purification effect.

[0062] Embodiment 2:

[0063] Based on Example 1, the present invention provides an intelligent air environment controller based on an air-cooled circulating central air conditioner, such as Figure 2 As shown, the acquisition module includes:

[0064] A sequence acquisition unit, used to acquire the working parameter range of the air-cooled cycle central air conditioner, select the working parameter range at equal intervals, and obtain a working parameter sequence;

[0065] An air conditioning control unit, used for controlling the air-cooled circulating central air conditioning to operate according to the operating parameter sequence;

[0066] The data acquisition unit is used to collect the indoor air flow speed and flow direction corresponding to each group of working parameters in the working parameter sequence.

[0067] In this embodiment, each element in the working parameter sequence corresponds to a group of working parameters, including cooling and heating modes, wind direction, wind speed, etc.

[0068] The beneficial effect of the above design scheme is: by obtaining the working parameter range of the air-cooled circulating central air conditioner, the working parameter range is selected at equal intervals to obtain a working parameter sequence, the air-cooled circulating central air conditioner is controlled to work according to the working parameter sequence, and the indoor air flow speed and flow direction corresponding to each group of working parameters in the working parameter sequence are collected to achieve comprehensive data acquisition, thereby providing a data basis for the numerical simulation between the working state of the air-cooled circulating central air conditioner and the indoor air flow speed and flow direction.

[0069] Embodiment 3:

[0070] Based on Example 2, the embodiment of the present invention provides an intelligent air environment controller based on an air-cooled circulating central air conditioner, wherein the sequence acquisition unit includes:

[0071] a density determination unit, configured to determine the length of the working parameter range and determine a target data density based on a relationship between data density and simulation accuracy;

[0072] The selection unit is used to determine the interval size based on the target data density and the working parameter range, and select the working parameter range at equal intervals according to the interval size to obtain the working parameter sequence.

[0073] In this embodiment, the target data density is used to indicate the size of the gap between the working parameters.

[0074] The beneficial effects of the above design scheme are: by determining the length of the working parameter range, and based on the relationship between data density and simulation accuracy, determining the target data density, determining the interval size based on the target data density and the working parameter range, and selecting the working parameter range at equal intervals according to the interval size to obtain a working parameter sequence, thereby providing a reasonable data basis for the numerical simulation of the working state of the air-cooled circulating central air conditioner and the indoor air flow speed and flow direction.

[0075] Embodiment 4:

[0076] Based on Example 1, the embodiment of the present invention provides an intelligent air environment controller based on an air-cooled circulating central air conditioner, characterized in that the learning module includes:

[0077] A numerical simulation unit is used to use the working parameters, flow velocity and flow direction as main parameters, and other parameters of the air-cooled circulating central air conditioner as auxiliary parameters to perform numerical simulation on the working process of the air-cooled circulating central air conditioner, establish a numerical simulation model, and output numerical simulation results based on the numerical simulation model;

[0078] A database construction unit, used to construct a working process database of the air-cooled circulating central air conditioner based on the numerical simulation results, wherein the working process database includes data of various parameters during the working process of the air-cooled circulating central air conditioner;

[0079] A training and evaluation unit, used to use the working parameters, flow velocity and flow direction in the working process database as training data, and the air conditioning energy efficiency ratio, cooling capacity or heating capacity as evaluation indicators to perform artificial intelligence model training and evaluation, determine the numerical relationship between the working parameters, flow velocity and flow direction that meets the preset indicator level according to the training and evaluation results, and establish a functional relationship expression based on the numerical relationship, wherein one indicator level corresponds to one functional relationship expression;

[0080] The relationship determination unit is used to perform finite element analysis on the correspondence between the index level and the functional relationship expression using a numerical simulation model, and determine the numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flow speed and flow direction according to the analysis results.

[0081] In this embodiment, the working process database includes data on various parameters during the working process of the air-cooled circulating central air conditioner, specifically, different effects of the air conditioner under various parameter operations are recorded.

[0082] In this embodiment, the preset index level is, for example, air conditioning energy efficiency ratio A, cooling capacity or heating capacity B as an index level, air conditioning energy efficiency ratio C, cooling capacity or heating capacity D as an index level.

[0083] In this embodiment, the functional relationship expression is used to represent the influence of different value combinations of working parameters, flow velocity and flow direction on the air conditioning energy efficiency ratio, cooling capacity or heating capacity.

[0084] In this embodiment, the numerical simulation relationship between the working state of the air-cooled circulation central air conditioner and the indoor air flow velocity and flow direction comprehensively represents the influence of any working parameters, flow velocity and flow direction on the air conditioning energy efficiency ratio, cooling capacity or heating capacity under various conditions.

[0085] The beneficial effect of the above design scheme is: by learning the working parameters, flow velocity and flow direction based on artificial intelligence, the numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flow velocity and flow direction is determined, providing a basis for the accurate determination of appropriate parameters of the air-cooled circulating central air conditioner.

[0086] Embodiment 5:

[0087] Based on Example 4, the embodiment of the present invention provides an intelligent air environment controller based on an air-cooled circulating central air conditioner, wherein the relationship determination unit includes:

[0088] An analysis unit, used for performing finite element analysis on the correspondence between the index level and the functional relationship expression by using a numerical simulation model, and establishing a set of equations for each functional relationship expression;

[0089] A unit is established for establishing a numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flow speed and flow direction based on the solution results of the equation group.

[0090] The beneficial effect of the above design scheme is: by using the numerical simulation model to perform finite element analysis on the correspondence between the index level and the functional relationship expression, the numerical simulation relationship between the working state of the air-cooled circulation central air conditioner and the indoor air flow speed and flow direction is determined according to the analysis results, providing a basis for the accurate determination of appropriate parameters of the air-cooled circulation central air conditioner.

[0091] Embodiment 6:

[0092] Based on Example 1, the present invention provides an intelligent air environment controller based on an air-cooled circulating central air conditioner, such as Figure 3 As shown, the determination module includes:

[0093] A parameter acquisition unit, used to determine effect parameters based on the current task of the air-cooled cycle central air conditioner, and to acquire a parameter group satisfying the effect parameters from the numerical simulation relationship;

[0094] The parameter selection unit is used to select the optimal parameter group from the parameter group as the current working parameter, the current flow speed and the current flow direction based on the air purification demand.

[0095] In this embodiment, the parameter group includes working parameters with different values, and combinations of flow speed and flow direction, all of which meet the air purification requirements.

[0096] The beneficial effects of the above design scheme are: by determining the effect parameters based on the current task of the air-cooled circulation central air-conditioning, and obtaining the parameter group that meets the effect parameters from the numerical simulation relationship, based on the air purification requirements, selecting the optimal parameter group from the parameter group as the current working parameters, the current flow velocity and the current flow direction, to achieve numerical prediction and determination of the air-cooled circulation central air-conditioning parameters, and provide air conditioning control parameter determination for intelligent air environment control.

[0097] Embodiment 7:

[0098] Based on Example 6, the embodiment of the present invention provides an intelligent air environment controller based on an air-cooled circulating central air conditioner, wherein the parameter selection unit includes:

[0099] An evaluation unit, configured to evaluate each group of parameters in the parameter group based on air purification requirements, and determine an evaluation value that meets the air purification requirements;

[0100] The optimal selection unit is used to select the parameter group with the highest evaluation value as the optimal parameter group, and determine the current working parameters, current flow speed and current flow direction from the optimal parameter group.

[0101] The beneficial effects of the above design scheme are: by evaluating each group of parameters in the parameter group based on the air purification demand, determining the evaluation value that meets the air purification demand, selecting the parameter group with the highest evaluation value as the optimal parameter group, and determining the current working parameters, current flow speed and current flow direction from the optimal parameter group, realizing numerical prediction and determination of the parameters of the air-cooled circulation central air-conditioning, and providing air conditioning control parameter determination for intelligent air environment control.

[0102] Embodiment 8:

[0103] Based on Example 1, the embodiment of the present invention provides an intelligent air environment controller based on an air-cooled circulating central air conditioner, wherein the control module comprises:

[0104] A direction determination unit, used to determine a target flow direction for air purification based on the current flow direction and in combination with the position characteristics of the air purification device;

[0105] A speed determination unit, used to obtain an air environment detection value of indoor air, obtain a numerical difference between the air environment detection value and a target control environment value, and determine a target flow speed of air purification based on the numerical difference and a purification time requirement;

[0106] a target parameter acquisition unit, configured to determine a purification direction of the air purification device based on a direction difference between the current flow direction and the target flow direction, and to determine a purification speed of the air purification device based on a speed difference between the current flow speed and the target flow speed in combination with the direction difference;

[0107] The parameter determination unit is used to determine the working parameters of the air purification device according to the purification speed and purification direction.

[0108] The beneficial effects of the above design scheme are: based on the current flow direction, combined with the location characteristics of the air purification equipment, the target flow direction of air purification is determined, the air environment detection value of the indoor air is obtained, the numerical difference between the air environment detection value and the target control environment value is obtained, and the target flow speed of air purification is determined based on the numerical difference and the purification time requirement; based on the direction difference between the current flow direction and the target flow direction, the purification direction of the air purification equipment is determined; based on the speed difference between the current flow speed and the target flow speed, combined with the direction difference, the purification speed of the air purification equipment is determined; the purification speed and purification direction determine the working parameters of the air purification equipment, and realize accurate and efficient linkage control of the operating status of air conditioning ventilation and air purification equipment to purify the indoor air environment and ensure the indoor air purification effect.

[0109] Embodiment 9:

[0110] Based on Example 8, the embodiment of the present invention provides an intelligent air environment controller based on an air-cooled circulating central air conditioner, wherein the target parameter unit includes:

[0111] A weighting unit, configured to determine a first direction weight of the air purification device based on a relative position relationship between a position of the indoor exhaust port and a position feature of the air purification device, and determine a second direction weight based on the direction difference;

[0112] A weighted processing unit is used to determine an initial purification direction of the air purification device based on the target flow direction, determine a target direction weight based on the first direction weight and the second direction weight, and perform weighted processing on the initial purification direction based on the target direction weight to obtain the purification direction of the air purification device.

[0113] The beneficial effects of the above design scheme are: by determining the first direction weight of the air purification equipment based on the relative position relationship between the position of the indoor exhaust port and the position characteristics of the air purification equipment, determining the second direction weight based on the direction difference, determining the initial purification direction of the air purification equipment based on the target flow direction, determining the target direction weight based on the first direction weight and the second direction weight, and performing weighted processing on the initial purification direction based on the target direction weight to obtain the purification direction of the air purification equipment, thereby ensuring the accuracy of the purification direction of the air purification equipment and providing an accurate direction basis for determining the working parameters of the air purification equipment.

[0114] Embodiment 10:

[0115] Based on Example 8, the embodiment of the present invention provides an intelligent air environment controller based on an air-cooled circulating central air conditioner, wherein the parameter determination unit includes:

[0116] A combination determination unit, used to determine a combination of wind speed, power and wind direction of the air purification device that satisfies the purification speed and purification direction;

[0117] The purification selection unit is used to select the combination of wind speed, power and wind direction with the highest energy efficiency value as the working parameter of the air purification equipment under the combination of wind speed, power and wind direction.

[0118] The beneficial effect of the above design scheme is: by determining the combination of wind speed, power and wind direction of the air purification equipment that meets the purification speed and purification direction, and the energy efficiency value of the air purification equipment under the combination of wind speed, power and wind direction, the combination of wind speed, power and wind direction with the highest energy efficiency value is selected as the working parameters of the air purification equipment, so as to achieve accurate and efficient linkage control of the operating status of air conditioning ventilation and air purification equipment to purify the indoor air environment and ensure the indoor air purification effect.

[0119] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of this application document and its equivalent technology, the present invention is also intended to include these changes and variations.

Claims

1. An intelligent air environment controller based on air-cooled circulating central air conditioner, characterized in that: include: An acquisition module, used to acquire the working parameters of the air-cooled circulating central air conditioner, and collect the indoor air flow speed and flow direction under the working parameters; A learning module, for learning the working parameters, flow velocity and flow direction based on artificial intelligence, and determining a numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flow velocity and flow direction; A determination module, used to determine the current working parameters, the current flow velocity and the current flow direction based on the numerical simulation relationship and in combination with the current task of the air-cooled cycle central air conditioner; The control module is used to determine the working parameters of the air purification device based on the current flow speed and the current flow direction in combination with the state of the air purification device.

2. The intelligent air environment controller based on air-cooled circulating central air conditioner according to claim 1 is characterized in that: The acquisition module comprises: A sequence acquisition unit, used to acquire the working parameter range of the air-cooled cycle central air conditioner, select the working parameter range at equal intervals, and obtain a working parameter sequence; An air conditioning control unit, used for controlling the air-cooled circulating central air conditioning to operate according to the operating parameter sequence; The data acquisition unit is used to collect the indoor air flow speed and flow direction corresponding to each group of working parameters in the working parameter sequence.

3. The intelligent air environment controller based on air-cooled circulating central air conditioner according to claim 2 is characterized in that: The sequence acquisition unit comprises: a density determination unit, configured to determine the length of the working parameter range and determine a target data density based on a relationship between data density and simulation accuracy; The selection unit is used to determine the interval size based on the target data density and the working parameter range, and select the working parameter range at equal intervals according to the interval size to obtain the working parameter sequence.

4. The intelligent air environment controller based on air-cooled circulating central air conditioner according to claim 1 is characterized in that: The learning module includes: A numerical simulation unit is used to use the working parameters, flow velocity and flow direction as main parameters, and other parameters of the air-cooled circulating central air conditioner as auxiliary parameters to perform numerical simulation on the working process of the air-cooled circulating central air conditioner, establish a numerical simulation model, and output numerical simulation results based on the numerical simulation model; A database construction unit, used to construct a working process database of the air-cooled circulating central air conditioner based on the numerical simulation results, wherein the working process database includes data of various parameters during the working process of the air-cooled circulating central air conditioner; A training and evaluation unit, used to use the working parameters, flow velocity and flow direction in the working process database as training data, and the air conditioning energy efficiency ratio, cooling capacity or heating capacity as evaluation indicators to perform artificial intelligence model training and evaluation, determine the numerical relationship between the working parameters, flow velocity and flow direction that meets the preset indicator level according to the training and evaluation results, and establish a functional relationship expression based on the numerical relationship, wherein one indicator level corresponds to one functional relationship expression; The relationship determination unit is used to perform finite element analysis on the correspondence between the index level and the functional relationship expression using a numerical simulation model, and determine the numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flow speed and flow direction according to the analysis results.

5. The intelligent air environment controller based on air-cooled circulating central air conditioner according to claim 4 is characterized in that: The relationship determination unit includes: An analysis unit, used for performing finite element analysis on the correspondence between the index level and the functional relationship expression by using a numerical simulation model, and establishing a set of equations for each functional relationship expression; A unit is established for establishing a numerical simulation relationship between the working state of the air-cooled circulating central air conditioner and the indoor air flow speed and flow direction based on the solution results of the equation group.

6. The intelligent air environment controller based on air-cooled circulating central air conditioner according to claim 1 is characterized in that: The determining module comprises: A parameter acquisition unit, used to determine effect parameters based on the current task of the air-cooled cycle central air conditioner, and to acquire a parameter group satisfying the effect parameters from the numerical simulation relationship; The parameter selection unit is used to select the optimal parameter group from the parameter group as the current working parameter, the current flow speed and the current flow direction based on the air purification demand.

7. The intelligent air environment controller based on air-cooled circulating central air conditioner according to claim 6 is characterized in that: The parameter selection unit comprises: An evaluation unit, configured to evaluate each group of parameters in the parameter group based on air purification requirements, and determine an evaluation value that meets the air purification requirements; The optimal selection unit is used to select the parameter group with the highest evaluation value as the optimal parameter group, and determine the current working parameters, current flow speed and current flow direction from the optimal parameter group.

8. The intelligent air environment controller based on air-cooled circulating central air conditioner according to claim 1 is characterized in that: The control module comprises: A direction determination unit, used to determine a target flow direction for air purification based on the current flow direction and in combination with the position characteristics of the air purification device; A speed determination unit, used to obtain an air environment detection value of indoor air, obtain a numerical difference between the air environment detection value and a target control environment value, and determine a target flow speed of air purification based on the numerical difference and a purification time requirement; a target parameter acquisition unit, configured to determine a purification direction of the air purification device based on a direction difference between the current flow direction and the target flow direction, and to determine a purification speed of the air purification device based on a speed difference between the current flow speed and the target flow speed in combination with the direction difference; The parameter determination unit is used to determine the working parameters of the air purification device according to the purification speed and purification direction.

9. The intelligent air environment controller based on air-cooled circulating central air conditioner according to claim 8 is characterized in that: The target parameter unit includes: A weighting unit, configured to determine a first direction weight of the air purification device based on a relative position relationship between a position of the indoor exhaust port and a position feature of the air purification device, and determine a second direction weight based on the direction difference; A weighted processing unit is used to determine an initial purification direction of the air purification device based on the target flow direction, determine a target direction weight based on the first direction weight and the second direction weight, and perform weighted processing on the initial purification direction based on the target direction weight to obtain the purification direction of the air purification device.

10. The intelligent air environment controller based on air-cooled circulating central air conditioner according to claim 8, characterized in that: The parameter determination unit comprises: A combination determination unit, used to determine a combination of wind speed, power and wind direction of the air purification device that satisfies the purification speed and purification direction; The purification selection unit is used to select the energy efficiency value of the air purification equipment under the combination of wind speed, power and wind direction, and select the combination of wind speed, power and wind direction with the highest energy efficiency value as the working parameter of the air purification equipment.

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