Air conditioning equipment, its control method, and storage medium

By obtaining the air quality when the air conditioning equipment is started and determining flexible control intervals and sub-interval operations, the problem of poor adjustment effect of the air conditioning equipment is solved and more effective air quality adjustment is achieved.

CN119826289BActive Publication Date: 2025-07-25WUHU MATY AIR CONDITIONING EQUIP CO LTD +1
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Patent Information

Application Number
CN202411515908.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-28
Publication Date
2025-07-25
Estimated Expiration
2044-10-28

AI Technical Summary

Technical Problem

Due to the use of fixed adjustment strategies, existing air conditioning equipment cannot effectively deal with differences in air quality between different regions, resulting in poor adjustment results.

Method used

By obtaining the air quality when the air conditioning device is started, a flexible control interval is determined, including multiple sub-sections and corresponding air conditioning operations, the equipment operation is dynamically adjusted.

Benefits of technology

Dynamic adjustment based on air quality is achieved, the adjustment effect of air conditioning equipment is improved, and the air quality differences in different regions are adapted to.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses an air conditioning device, its control method, and a storage medium, relating to the technical field of air conditioning. The control method of the air conditioning device includes: obtaining the air quality of the air conditioning device at startup; determining a control range for air conditioning according to the air quality, where the control range includes a plurality of sub-ranges and the corresponding air conditioning operations for each sub-range; and controlling the operation of the air conditioning device based on the determined control range. The present invention solves the technical problem of poor adjustment effect of the air conditioning device.
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Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning equipment, and particularly to an air conditioning equipment, a control method thereof, and a storage medium. Background Art

[0002] During the operation of air conditioning equipment, the adjustment of air quality mainly depends on fixed adjustment strategies. Fixed adjustment strategies usually divide the operating environment of air conditioning equipment into multiple fixed intervals, and each interval corresponds to a specific adjustment method, such as an adjustment gear, etc.

[0003] However, due to the large differences in air quality in different regions, for example, the humidity is generally low in the northern regions, while it may be high in the southern regions. If a fixed adjustment strategy is used to adjust the air quality, there is likely to be a problem of poor adjustment effect.

[0004] For example, when the air quality in the northern region needs to be dehumidified due to certain reasons (such as seasonal changes, specific weather conditions), since the actual humidity in this region does not reach the threshold of the dehumidification control interval in the adjustment strategy, even if the humidity has exceeded the user's comfort range at this time, the air conditioning equipment will not start the dehumidification function or the dehumidification intensity is very low. Summary of the Invention

[0005] The main object of the present invention is to provide an air conditioning equipment, a control method thereof, and a storage medium, aiming to solve the technical problem of poor adjustment effect of air conditioning equipment.

[0006] To achieve the above object, the present invention provides a control method for an air conditioning equipment, and the control method includes:

[0007] Obtain the air quality of the air conditioning equipment at startup;

[0008] According to the air quality, determine a control interval for air conditioning, where the control interval includes multiple sub-intervals and the air conditioning operations corresponding to each sub-interval;

[0009] Based on the determined control interval, control the operation of the air conditioning equipment.

[0010] In an embodiment, the step of determining a control interval for air conditioning according to the air quality includes:

[0011] Determine the target relative ranking of the air quality in a preset quality ranking sequence;

[0012] Obtain the control interval corresponding to the target relative ranking as the control interval for air conditioning.

[0013] In an embodiment, the method further includes:

[0014] Obtain the historical operation data of other air conditioning devices in the same area of the air conditioning device, and determine the historical air quality of each air conditioning device from the historical operation data;

[0015] Sort the historical air quality to obtain a historical quality sequence;

[0016] Determine the ranking percentile of each historical air quality in the historical quality sequence to obtain a preset quality ranking sequence.

[0017] In one embodiment, the step of determining the historical air quality of each from the historical operation data includes:

[0018] Determine each user adjustment data from the historical operation data;

[0019] For each user adjustment data, when the user adjustment data includes a switch quality threshold of the air conditioning device, use the switch quality threshold as the historical air quality;

[0020] When the user adjustment data includes the gear adjustment thresholds of each gear of the air conditioning device, use the average value of each gear adjustment threshold, or the weighted average value of each gear adjustment threshold as the historical air quality.

[0021] In one embodiment, the step of obtaining the control interval corresponding to the target relative ranking includes:

[0022] Determine the interval strategy to which the target relative ranking belongs among the preset ranking distribution intervals of the preset distribution control mapping relationship;

[0023] According to the determined interval strategy, obtain the control interval corresponding to the target relative ranking.

[0024] In one embodiment, the step of obtaining the control interval corresponding to the target relative ranking according to the determined interval strategy includes:

[0025] Obtain a preset standard interval, where the standard interval includes a plurality of sub-standard intervals and the air conditioning operations corresponding to each sub-standard interval;

[0026] According to the determined interval strategy, adjust the sub-standard intervals in the preset standard interval to obtain new sub-intervals;

[0027] Based on the new sub-intervals and the air conditioning operations corresponding to each sub-standard interval, generate the control interval corresponding to the target relative ranking.

[0028] In one embodiment, the interval strategy includes an adjustment mode and adjustment parameters, and the adjustment mode includes increasing and decreasing;

[0029] The step of adjusting sub - standard intervals in a preset standard interval according to the determined interval strategy to obtain new sub - intervals includes:

[0030] Obtain all boundary values that divide multiple sub - standard intervals in the preset standard interval;

[0031] Calculate all the obtained boundary values according to the adjustment mode and adjustment parameters of the interval strategy to obtain new boundary values;

[0032] Obtain new sub - intervals according to the new boundary values.

[0033] In one embodiment, the step of controlling the operation of the air - conditioning device based on the determined control interval includes:

[0034] Obtain the current air quality;

[0035] Determine the target sub - interval according to the current air quality and the control interval;

[0036] Control the operation of the air - conditioning device according to the air - conditioning operation corresponding to the target sub - interval.

[0037] The present invention also provides a control device for an air - conditioning device, and the control device for the air - conditioning device includes:

[0038] An acquisition module, configured to acquire the air quality when the air - conditioning device starts;

[0039] An adjustment module, configured to determine a control interval for air - conditioning according to the air quality, where the control interval includes multiple sub - intervals and air - conditioning operations corresponding to each sub - interval;

[0040] A control module, configured to control the operation of the air - conditioning device based on the determined control interval.

[0041] The present invention also provides an air - conditioning device, including a body, an operation module disposed in the body, and a control device; the control device includes a memory, a processor, and a control program stored in the memory and executable on the processor. When the control program is executed by the processor, it executes the steps of the control method described above.

[0042] The present invention also provides a computer - readable storage medium, which stores a control program executable on a processor. The control program is called by the processor to implement the steps of the control method described above.

[0043] The present invention provides a control method, which can achieve at least the following technical effects: The present invention can obtain the air quality when the air conditioning device is started, and can determine the control range for air conditioning according to the air quality. The control range includes multiple sub-ranges and the corresponding air conditioning operations for each sub-range, and then the air conditioning device can be controlled to operate based on the target control range. Since the present invention can determine the corresponding control range based on the air quality, it is convenient to flexibly adjust the control range of the air conditioning device according to the air quality when the air conditioning device is started, and it is also convenient to use the air conditioning operations of each sub-range within the control range to adjust the air quality of the environment where the air conditioning device is located, and then it is convenient to more effectively adjust the air quality of the environment where the air conditioning device is located and improve the adjustment effect of the air conditioning device. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings herein are incorporated into and constitute a part of this specification, showing embodiments consistent with the present invention and, together with the specification, are used to explain the principles of the present invention.

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative efforts.

[0046] Figure 1 It is a schematic flowchart of an embodiment of the control method for the air conditioning device of the present invention;

[0047] Figure 2 It is a schematic flowchart of another embodiment of the control method for the air conditioning device of the present invention;

[0048] Figure 3 It is a schematic flowchart of another embodiment of the control method for the air conditioning device of the present invention;

[0049] Figure 4 It is a schematic diagram of the module structure of the control device for the air conditioning device in the embodiment of the present invention;

[0050] Figure 5 It is a schematic diagram of the structure of the hardware operating environment involved in the embodiment of the present invention.

[0051] The implementation, functional features and advantages of the object of the present invention will be further described in conjunction with the embodiments with reference to the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] To make the above objects, features, and advantages of the present invention more apparent and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0053] During the operation of the air conditioning equipment, the adjustment of air quality mainly depends on a fixed adjustment strategy. The fixed adjustment strategy usually divides the operating environment of the air conditioning equipment into multiple fixed intervals, and each interval corresponds to a specific air conditioning operation, such as an adjustment gear, etc.

[0054] However, due to the large differences in air quality in different regions, for example, the humidity is generally low in the northern regions, while it may be high in the southern regions. If a fixed adjustment strategy is used to adjust the air quality, there is likely to be a problem of poor adjustment effect. And since the air quality does not change linearly but curvilinearly when the air conditioning equipment adjusts the air quality in its environment, if a fixed adjustment strategy is used to adjust the air quality, it is easy for the air quality adjusted by the air conditioning equipment to always approach the target value of adjustment but not reach the target value, thus resulting in a poor adjustment effect.

[0055] Therefore, the embodiments of the present invention propose a control method for an air conditioning equipment, which can flexibly adjust the control interval of the air conditioning equipment based on the air quality at the start of the air conditioning equipment, and control the operation of the air conditioning equipment based on the control interval, so as to effectively adjust the air quality.

[0056] To overcome the above defects, the present invention provides a control method for an air conditioning equipment:

[0057] Based on this, the present invention proposes a control method for an air conditioning equipment in the first embodiment. Please refer to Figure 1 , the control method of the air conditioning equipment includes steps S10 to S30:

[0058] Step S10, obtain the air quality of the air conditioning equipment at startup;

[0059] It should be noted that the air conditioning equipment can be used for air conditioning. The air conditioning equipment can be used to adjust temperature, humidity, carbon dioxide concentration, formaldehyde, PM2.5 (Particulate Matter 2.5, fine particulate matter 2.5), and TOVC (Total Volatile Organic Compounds), etc. This embodiment does not make specific limitations on this. The air quality is the air quality of the environment when the air conditioning equipment is started. The air quality can be temperature, humidity, carbon dioxide concentration, formaldehyde concentration, PM2.5 concentration, or TOVC concentration, etc. This embodiment does not make specific limitations on this.

[0060] The air conditioning equipment can be an air conditioner, an air purification equipment, a fresh air system, a dehumidification equipment, or a humidification equipment, etc. This embodiment does not make specific limitations on the air conditioning equipment. The air quality can be detected by a sensor. For example, detect the air quality of the environment when the air conditioning equipment is started.

[0061] Step S20, according to the air quality, determine the control range for air conditioning. The control range includes multiple sub - ranges and the air conditioning operations corresponding to each sub - range;

[0062] It should be noted that when the air quality at the start of the air conditioning equipment is different, the corresponding control range may also be different. Each time the air conditioning equipment starts and runs, it can determine the control range for that run based on the air quality at the start, so as to facilitate more accurate air conditioning.

[0063] The control range can include multiple sub - ranges, and the air conditioning operations corresponding to each sub - range can be different. The air conditioning operation corresponding to a sub - range can refer to the adjustment gear of the air conditioning equipment, or the target quality value that the air conditioning equipment needs to reach. The adjustment gears corresponding to different sub - ranges are different, and different adjustment gears correspond to different intensities of air conditioning. The target quality value represents the target value of the air quality that the air conditioning equipment needs to reach when adjusting the air.

[0064] Exemplarily, the control range corresponding to the air quality can be obtained. For example, different control ranges corresponding to different air qualities can be pre - stored in the air conditioning equipment, so that the control range corresponding to the air quality can be directly obtained from the air conditioning equipment.

[0065] In a feasible embodiment, step S20 further includes steps S21 to S22:

[0066] Step S21, determine the target relative ranking of the air quality in the preset quality ranking sequence;

[0067] It should be noted that the preset quality ranking sequence includes a sequence in which multiple historical air qualities of the same type as the air quality are sorted based on quality. The type of air quality can be used to distinguish different air components or air states, etc. For example, air states can be divided into temperature, humidity, etc., and each air component included in the air can be carbon dioxide, formaldehyde, PM2.5, and TOVC, etc., and the corresponding air quality can be temperature, humidity, carbon dioxide concentration, formaldehyde concentration, PM2.5 concentration, or TOVC concentration, etc. Temperature, humidity, carbon dioxide concentration, formaldehyde concentration, PM2.5 concentration, and TOVC concentration can each have a corresponding preset quality ranking sequence.

[0068] The target relative ranking is characterized as the percentile ranking of the air quality in the preset quality ranking sequence. The target relative ranking can be used to describe the relative quality of the air quality in the preset quality ranking sequence.

[0069] Step S22, obtain the control interval corresponding to the target relative ranking as the control interval for air conditioning.

[0070] It should be noted that different target relative rankings may correspond to different control intervals. Since the target relative ranking can be used to describe the relative quality of the air quality, the corresponding control interval can be determined based on the target relative ranking, so that the control interval matches the relative quality of the air quality, thus facilitating more effective air regulation based on this control interval and improving the air quality regulation effect.

[0071] Exemplarily, obtain the preset quality ranking sequence corresponding to the air quality, determine the target percentile ranking of the air quality in the preset quality ranking sequence to obtain the target relative ranking, and obtain the control interval corresponding to the target relative ranking.

[0072] Step S30, control the operation of the air conditioning equipment based on the determined control interval.

[0073] It should be noted that the air conditioning equipment can operate based on the control interval corresponding to the air quality at startup. After the air conditioning equipment is determined, the control interval remains unchanged during this startup operation, but the air conditioning equipment can switch between sub-intervals within this control interval based on the air quality during operation to facilitate more effective air regulation.

[0074] Embodiments of the present invention can obtain the air quality when the air conditioning device is started, and can determine a control range for air conditioning according to the air quality. The control range includes a plurality of sub-ranges and the air conditioning operations corresponding to each sub-range. Furthermore, the operation of the air conditioning device can be controlled based on the target control range. Since the embodiments of the present invention can determine the corresponding control range based on the air quality, it is convenient to flexibly adjust the control range of the air conditioning device based on the air quality when the air conditioning device is started, and it is also convenient to use the air conditioning operations of each sub-range within the control range to adjust the air quality of the environment where the air conditioning device is located. Furthermore, it is convenient to more effectively adjust the air quality of the environment where the air conditioning device is located and improve the adjustment effect of the air conditioning device.

[0075] In a feasible embodiment, step S30 further includes steps S31 to S33:

[0076] Step S31, obtain the current air quality;

[0077] Step S32, determine the target sub-range according to the current air quality and the control range;

[0078] Step S33, control the operation of the air conditioning device according to the air conditioning operation corresponding to the target sub-range.

[0079] It should be noted that the current air quality is the air quality detected when the air conditioning device is operating, and the current air quality can be obtained periodically. The target sub-range is the sub-range to which the current air quality belongs in the control range, and the operation of the air conditioning device can be controlled based on the air conditioning operation corresponding to the target sub-range. Each sub-range has its own corresponding boundary values. Each sub-range includes two boundary values. The two boundary values of the same sub-range are different. The current air quality is less than or equal to the maximum boundary value of the target sub-range and greater than the minimum boundary value of the target sub-range.

[0080] Exemplarily, the operation of the air conditioning device can be controlled based on the target adjustment gear to which the target sub-range belongs. In other embodiments, the operation of the air conditioning device can also be controlled based on the target quality value corresponding to the target sub-range. Each sub-range can have its own corresponding target quality value, and the target quality value represents the target value of the air quality that the air conditioning device needs to reach when adjusting the air.

[0081] In a feasible embodiment, referring to Figure 2 , the control method of the air conditioning device further includes steps A10 to A30:

[0082] Step A10, obtain the historical operation data of other air conditioning devices in the same area of the air conditioning device, and determine the historical air quality of each air conditioning device from the historical operation data;

[0083] It should be noted that the historical operation data includes the air quality at the time of historical startup of other air conditioning devices. The same area refers to the area that is the same as the area where the air conditioning device is located. Generally, the air quality of the environment in the same area does not vary greatly. For example, the difference between the air qualities in the same area is less than a preset quality threshold, which can be determined based on the actual situation. For example, there are significant differences in humidity between the south and the north. When the air conditioning device is in the southern region, the historical operation data of other air conditioning devices in the south can be obtained. The above is only an example for illustration, and this embodiment does not make specific restrictions on area division.

[0084] In other embodiments, the historical operation data of other air conditioning devices that are in the same area, user type, and startup time period as the air conditioning device can be obtained. The user type can be used to distinguish different types of users who use the air conditioning device. For example, the user type can be divided into users of different age groups. For example, the age groups can be divided into 0 to 30 years old, 31 to 60 years old, over 60 years old, etc. Users belonging to the same age group belong to the same user type. The above is only one example of age groups, and this embodiment does not make specific limitations on this. The user type can also be divided into male users and female users, etc., and this embodiment does not make specific limitations on this either. The same startup time period means that the date, month, or season when the air conditioning device starts is the same, so as to facilitate obtaining the historical operation data of the same time period, improve the accuracy of the subsequent preset quality ranking sequence, and further facilitate improving the accuracy of determining the control range corresponding to the air quality.

[0085] Exemplarily, the historical operation data of other air conditioning devices that belong to the same area as the air conditioning device can be obtained, and the respective historical air qualities can be determined from the historical operation data. Each air conditioning device can correspond to multiple historical air qualities.

[0086] In a feasible embodiment, step A10 further includes steps A11 to A13:

[0087] Step A11, determining each user adjustment data from the historical operation data;

[0088] Step A12, for each user adjustment data, when the user adjustment data includes the switch quality threshold of the air conditioning device, taking the switch quality threshold as the historical air quality;

[0089] Step A13, when the user adjustment data includes the respective gear adjustment thresholds of each gear of the air conditioning device, taking the average value of the respective gear adjustment thresholds, or the weighted average value of the respective gear adjustment thresholds as the historical air quality.

[0090] It should be noted that the historical operation data includes the adjustment data of each user. There can be multiple user adjustment data for the same air conditioning device, and the user adjustment data can be used to describe the historical air quality corresponding to a certain startup of the air conditioning device.

[0091] Different air conditioning devices correspond to different adjustment types. The adjustment types include the on-off adjustment type and the gear adjustment type. For example, the air conditioning device can be of the on-off adjustment type. The air conditioning device of the on-off adjustment type has a startup switch. After the air conditioning device is started, the air is adjusted according to the adjustment intensity corresponding to the startup switch. The switch corresponds to a switch quality threshold. All air conditioning devices of the on-off adjustment type have a switch quality threshold. For example, when the air quality of the environment is greater than the switch quality threshold, the air conditioning device will be started to operate.

[0092] The air conditioning device can also be of the gear adjustment type. The air conditioning device of the gear adjustment type can have multiple gears. Each gear can include two boundary values, and each gear can have a corresponding gear adjustment threshold. The gear adjustment threshold can be the maximum boundary value corresponding to the gear. When the air quality of the environment falls into any gear of the air conditioning device, the air conditioning device can operate based on that gear to adjust the air quality, or the user can customize and select to turn on a certain gear. This embodiment does not make specific limitations in this regard. For example, the air conditioning device can include gears from 0 to 4. The gear adjustment thresholds for each of the gears from 0 to 4 can be [800, 1000, 1250, 1500]. When the air quality is less than or equal to 800, gear 0 can operate. When the air quality is greater than 800 and less than or equal to 1000, gear 1 can operate. When the air quality is greater than 1000 and less than or equal to 1250, gear 2 can operate. When the air quality is greater than 1250 and less than or equal to 1500, gear 3 can operate. When the air quality is greater than 1500, gear 4 can operate.

[0093] Since the adjustment types corresponding to each air conditioning device may be different, the types of corresponding user adjustment data may also be different. The user adjustment data of the air conditioning device of the on-off adjustment type is the switch quality threshold, and the user adjustment data of the air conditioning device of the gear adjustment type is: the gear adjustment thresholds of the air conditioning device. Since the air conditioning device of the on-off adjustment type includes only one switch quality threshold, the switch quality threshold can be directly used as the historical air quality, while the corresponding user adjustment data of the gear adjustment type includes multiple gear adjustment thresholds. The average value or weighted average value of each gear adjustment threshold can be used as the historical control quality, so as to more accurately determine the historical air quality of the air conditioning device.

[0094] Exemplarily, each user adjustment data is determined from historical operation data. When the user adjustment data includes a switch quality threshold, the switch quality threshold can be directly used as the historical air quality. When the user adjustment data includes adjustment thresholds for each gear, the average value of the adjustment thresholds for each gear, or the weighted average value of the adjustment thresholds for each gear is used as the historical air quality. The weights of the adjustment thresholds for each gear can be determined based on the actual situation. For example, the weights corresponding to the adjustment thresholds for each gear from gear 0 to gear 4 can be 1 to 4 in sequence. This embodiment does not make specific limitations in this regard.

[0095] Step A20: Sort the historical air quality to obtain a historical quality sequence.

[0096] Step A30: Determine the ranking percentile of each historical air quality in the historical quality sequence to obtain a preset quality ranking sequence.

[0097] It should be noted that the values of each historical air quality are sorted from large to small or from small to large to obtain a historical quality sequence. By normalizing the historical quality sequence, a preset quality ranking sequence can be obtained, which can be to determine the ranking percentile of each historical air quality in the historical quality sequence to normalize the historical quality sequence. The ranking percentile can be used to describe the relative position of the historical air quality in the historical quality sequence.

[0098] Exemplarily, the quartile method can also be used to determine the preset quality ranking sequence of the historical quality sequence. For example, the first quartile point, the second quartile point, and the third quartile point in the historical quality sequence can be determined. The first quartile point Q1 is the value at the 25% position in the historical quality sequence, the second quartile point Q2 is the value at the 50% position in the historical quality sequence, and the third quartile point Q3 is the value at the 75% position in the historical quality sequence. Use Q1, Q2, and Q3 to divide the historical quality sequence into four sorting intervals: [the minimum value of air quality in the historical quality sequence, Q1], [Q1, Q2], [Q2, Q3], [Q3, the maximum value of air quality in the historical quality sequence]. Map the air quality in each sorting interval to the range of [0, 1]. A common mapping method is to map the minimum value to 0, the maximum value to 1, and other values are mapped linearly. For example, [the minimum value of air quality in the historical quality sequence, Q1] is mapped to [0, 0.25], [Q1, Q2] is mapped to [0.25, 0.5], [Q2, Q3] is mapped to [0.5, 0.75], [Q3, the maximum value of air quality in the historical quality sequence] is mapped to [0.75, 1], so that a preset quality ranking sequence with a range of 0 to 100% can be obtained. In this embodiment, by normalizing the historical quality sequence, a preset quality ranking sequence is obtained, which is convenient for subsequently determining the target relative ranking of air quality in the preset quality ranking sequence, and then the relative quality of air quality can be determined more accurately, which is convenient for improving the accuracy of the control interval.

[0099] Further, referring to Figure 3 , in another feasible embodiment, step S22 further includes steps B10 to B20:

[0100] Step B10, determine the interval strategy to which the target relative ranking belongs in each preset ranking distribution interval of the preset distribution control mapping relationship;

[0101] Step B20, according to the determined interval strategy, obtain the control interval corresponding to the target relative ranking.

[0102] It should be noted that the preset distribution control mapping relationship may include the interval strategy corresponding to each preset ranking distribution interval. The interval strategies corresponding to the rankings within the same preset ranking distribution interval are the same. The target ranking distribution interval of the target relative ranking can be determined in each preset ranking distribution interval, and the interval strategy of the target ranking distribution interval is used as the interval strategy of the target relative ranking. Each preset distribution ranking interval in the preset distribution control mapping relationship can be set in advance based on the actual situation, and the interval range obtained by splicing each preset distribution ranking interval is 0 to 100%.

[0103] The interval strategy includes an adjustment mode and adjustment parameters. The adjustment mode includes increasing and decreasing. The interval strategy can be used to determine the control interval of the target relative ranking. The interval strategies corresponding to the respective preset ranking distribution intervals can be different.

[0104] Exemplarily, in each preset ranking distribution interval of the preset distribution control relationship, determine the target ranking distribution interval of the target relative ranking, use the interval strategy of the target ranking distribution interval as the interval strategy of the target relative ranking, and obtain the control interval corresponding to the target relative ranking based on the interval strategy. The control intervals of the interval strategies of the respective preset ranking distribution intervals can also be pre-stored in the air conditioning device, so that the control interval corresponding to the interval strategy can be directly obtained from the air conditioning device based on the interval strategy. In this embodiment, by determining the interval strategy corresponding to the target ranking, the corresponding control interval can be determined based on the interval strategy, so that the interval strategy can be determined based on the relative quality of the air quality at startup, and the corresponding control interval can be determined, which is convenient for improving the air conditioning effect subsequently.

[0105] In a feasible embodiment, step B20 further includes steps B21 to B23:

[0106] Step B21, obtain a preset standard interval, where the standard interval includes a plurality of sub-standard intervals and the air conditioning operations corresponding to each sub-standard interval;

[0107] Step B22, adjust the sub-standard intervals in the preset standard interval according to the determined interval strategy to obtain new sub-intervals;

[0108] It should be noted that the standard interval can be determined based on the actual situation. The standard interval can include a plurality of sub-standard intervals and the air conditioning operations corresponding to each respective standard interval. Each sub-standard interval has its own corresponding standard boundary value.

[0109] For each sub-standard interval, the boundary value of the sub-standard interval can be adjusted based on the interval strategy to obtain a new sub-interval. Thus, the standard interval can be flexibly adjusted based on the air quality at the startup of the air conditioning device, so that the adjusted control interval can more effectively adjust the air quality to improve the air quality adjustment effect.

[0110] For example, a preset standard interval can be obtained, and based on the determined interval strategy, the boundary values of the respective sub-standard intervals in the standard interval are adjusted respectively to obtain the new sub-intervals corresponding to the respective sub-standard intervals.

[0111] In a feasible embodiment, the interval strategy includes an adjustment mode and adjustment parameters. The adjustment mode includes increasing and decreasing. Step B22 further includes steps B221 to B223:

[0112] Step B221: Obtain all the boundary values that divide a plurality of sub - standard intervals within a preset standard interval;

[0113] Step B222: Calculate all the obtained boundary values according to the adjustment mode and adjustment parameters of the interval strategy to obtain new boundary values;

[0114] Step B223: Obtain new sub - intervals based on the new boundary values.

[0115] It should be noted that the adjustment parameter can be an adjustment ratio, or it can be an adjustment fixed value. Both the adjustment ratio and the adjustment fixed value can be determined based on the actual situation. For example, the adjustment ratio can be 5% or 10%, etc., and the adjustment fixed value can be 50 or 100, etc. This embodiment does not make specific limitations on this.

[0116] Each sub - standard interval has its own corresponding standard boundary values. Each sub - standard interval can include two standard boundary values. The largest boundary value within the same sub - standard interval can be characterized as the upper - limit boundary value, and the smallest boundary value is the lower - limit boundary value. When the air quality is less than or equal to the upper - limit boundary value of the sub - standard interval and greater than the lower - limit boundary value of the same sub - standard interval, the air - conditioning device can perform the air - conditioning operation corresponding to the sub - standard interval.

[0117] The adjustment mode and adjustment parameters in the interval strategy of each preset distribution interval can be determined in advance. For example, the adjustment mode of the interval strategy can be that the adjustment mode is an adjustment ratio or an adjustment fixed value, the adjustment mode is to increase, and the interval strategy can also be that the adjustment mode is an adjustment ratio or an adjustment fixed value, and the adjustment mode is to decrease. When the adjustment mode is to decrease, all the corresponding boundary values of each sub - standard interval can be adjusted smaller based on the adjustment parameter. When the adjustment mode is to increase, all the corresponding boundary values of each sub - standard interval can be adjusted larger based on the adjustment parameter.

[0118] Exemplarily, when the adjustment parameter is an adjustment ratio, the product of all the corresponding boundary values of each sub - standard interval and the adjustment ratio can be calculated to obtain the new boundary values corresponding to each boundary value. When the adjustment mode is to decrease, the adjustment ratio is a value less than 1. When the adjustment mode is to increase, the adjustment ratio is a value greater than 1.

[0119] When the adjustment parameter is an adjustment fixed value and the adjustment mode is to decrease, for each boundary value of each sub-standard interval, calculate the absolute value of the difference between the boundary value and the adjustment fixed value to obtain the new boundary value of the boundary value; when the adjustment parameter is an adjustment fixed value and the adjustment mode is to increase, for each boundary value of each sub-standard interval, calculate the sum of the boundary value and the adjustment fixed value to obtain the corresponding new boundary value of the boundary value. For each sub-standard interval, determine the new sub-interval composed of the new boundary values obtained by calculating all the boundary values of the sub-standard interval according to the adjustment mode and the adjustment parameter.

[0120] In this embodiment, by the adjustment mode and the adjustment parameter, flexible adjustment of the standard interval can be realized, and then it is convenient to flexibly determine the new sub-interval, improving the flexibility of the standard interval adjustment. Different control intervals can be determined by using different adjustment modes and different adjustment parameters, so as to adapt to the control intervals corresponding to different air qualities, so as to adjust the air quality more comprehensively and effectively.

[0121] In other embodiments, the adjustment mode can be determined based on the relative arrangement order of the target ranking distribution interval to which the target relative ranking belongs and the standard ranking distribution interval of the standard interval. The relative arrangement order can be divided into being ranked before the standard ranking distribution interval and being ranked after the standard ranking distribution interval. When the relative arrangement order is before the standard ranking distribution interval, the adjustment mode is to increase; when the relative arrangement order is after the standard ranking distribution interval, the adjustment mode is to decrease. It should be noted that the standard ranking distribution interval is included in each preset ranking distribution interval included in the preset distribution control mapping relationship.

[0122] When the adjustment parameter is an adjustment ratio or an adjustment fixed value, the value of the adjustment ratio corresponding to the target relative ranking and the adjustment fixed value can both be determined based on the relative order of the target ranking distribution interval to which the target relative ranking belongs and the standard ranking distribution interval. For example, the relative order can be numerical values such as 0, 1, 2, 3, etc. Let the relative order be represented by n. The value of the adjustment ratio of the target relative ranking can be the nth power of the difference between the preset ratio and the preset reference value, or the nth power of the sum of the preset ratio and the preset reference value. The preset reference value can be 1, and the preset ratio can be set according to the actual situation. The adjustment fixed value of the target relative ranking can be the product of the preset fixed value and n. When the relative order is 0, it means that the target ranking distribution interval to which the target relative ranking belongs is the standard ranking distribution interval. At this time, the adjustment ratio of the corresponding interval strategy is 1 or the adjustment fixed value is 0, and the standard interval corresponding to the standard ranking distribution interval can be directly used as the control interval of the target relative ranking. In another embodiment, the adjustment parameter and the adjustment mode can also be set according to the actual situation. For example, it can be set by the user's self-definition, etc. This embodiment does not make specific limitations on this.

[0123] To better understand this embodiment, the adjustment process of the standard interval will be briefly described with reference to the following example. For example, the standard interval is [800, 1000, 1250, 1500], and the sub-standard intervals J1 to J5 of the standard interval are (0, 800], (800, 1000], (1000, 1250], (1250, 1500], (1500, N] in sequence. The boundary value of J1 is 800, the boundary values of J2 include 800 and 1000, the boundary values of J3 include 1000 and 1250, the boundary values of J4 include 1250 and 1500, N is a value greater than 1500, and the boundary value of J5 is 1500. When the adjustment mode of the interval strategy corresponding to the target relative ranking is to increase and the adjustment parameter is the adjustment ratio of 1.1, calculate the product of each boundary value in the standard interval and the adjustment ratio, and the control interval corresponding to the target relative ranking obtained is [880, 1100, 1375, 1650]; when the adjustment mode of the interval strategy corresponding to the target relative ranking is to increase and the adjustment parameter is the adjustment fixed value of 100, the control interval obtained by adjusting the standard interval is [900, 1100, 1350, 1600].

[0124] Step B23, based on the new sub-interval and the air-conditioning operations corresponding to each sub-standard interval, generate the control interval corresponding to the target relative ranking.

[0125] It should be noted that after adjusting the sub-standard interval to obtain a new sub-interval, the air-conditioning operation corresponding to the new sub-interval is the same as the air-conditioning operation of the corresponding sub-standard interval. It can be understood that what is adjusted is the boundary value of the sub-standard interval, but the air-conditioning operation corresponding to the sub-standard interval is not adjusted. Each new sub-interval and its corresponding air-conditioning operation constitute the control interval corresponding to the target relative ranking.

[0126] For example, continuing the previous example, if the adjustment mode is to increase and the adjustment parameter is the adjustment fixed value, the control interval corresponding to the target relative ranking is [900, 1100, 1350, 1600], and the sub-intervals J11 to J55 of the control interval are (0, 900], (900, 1100], (1100, 1350], (1350, 1600], (1600, N] in sequence. The air-conditioning operations corresponding to J1 to J5 in the standard interval can be from gear 0 to gear 5 in sequence. When the standard interval is adjusted to obtain the control interval, the air-conditioning operations of the sub-intervals J11 to J55 in the control interval can also be from gear 0 to gear 5 in sequence.

[0127] Further, in other embodiments, the types of adjustment parameters for each preset ranking distribution interval in the same preset distribution control mapping relationship may be the same. For example, the types of adjustment parameters for each interval strategy in the same preset distribution control mapping relationship are all of the fixed value type, or the types of adjustment parameters for each interval strategy in the same preset distribution control mapping relationship are all of the proportional type. The fixed value type indicates that the adjustment parameters are all fixed adjustment values, but the fixed adjustment values for each preset ranking distribution interval in the same preset distribution control mapping relationship may be different. The proportional type indicates that the adjustment parameters are all adjustment ratios, but the values of the adjustment ratios for each preset ranking distribution interval in the same preset distribution control mapping relationship may be different.

[0128] To better understand this embodiment, continuing with the previous example, the interval strategies for each preset ranking distribution interval in the preset control mapping relationship, as well as the control intervals corresponding to the interval strategies, will be illustrated by examples.

[0129] When the type of the adjustment parameter in the preset control mapping relationship is of the proportional type, the preset ratio is 10%, and the number of each preset ranking distribution interval included in the preset control mapping relationship is 5:

[0130] Preset ranking distribution interval 1: [0, 20%], interval strategy: the adjustment mode is to increase, and the adjustment ratio is 1.1 2 , the corresponding control interval 1 is: [968, 1210, 1512, 1815]. The boundary values of the control interval corresponding to preset ranking distribution interval 1 are all enlarged by 10% relative to the boundary values of control interval 2. For example, 968 = 880 * (1 + 10%). The boundary values in control interval 1 are 1.1 2 times the corresponding boundary values in standard interval 3. For example, 968 = 800 * 1.1 2 . Since the relative order of preset ranking distribution interval 1 with respect to standard ranking distribution interval 3 is 2, and the relative ranking order is before standard ranking distribution interval 3, the adjustment mode is to increase, and the adjustment ratio is 1.1 2 .

[0131] Preset ranking distribution interval 2: (20, 40%], interval strategy: the adjustment mode is to increase, and the adjustment ratio is 1.1. The corresponding control interval 2 is: [880, 1100, 1375, 1650]. The boundary values of control interval 2 are enlarged by 10% relative to the boundary values in standard interval 3. Since the relative order of preset ranking distribution interval 2 with respect to standard ranking distribution interval 3 is 1, and the relative ranking order is before standard ranking distribution interval 3, the adjustment mode is to increase, and the adjustment ratio is 1.1.

[0132] Standard ranking distribution interval 3: (40, 60%], interval strategy: the adjustment mode is to maintain, the adjustment ratio is 1, standard interval 3: [800, 1000, 1250, 1500].

[0133] Preset ranking distribution interval 4: (60, 80%], interval strategy: the adjustment mode is to decrease, the adjustment ratio is 0.9, the corresponding control interval 4 is [720, 900, 1125, 1350], and the boundary values in control interval 4 are reduced by 10% relative to the boundary values of standard interval 3. For example, 720 = 800 * (1 - 10%); since the relative order of preset ranking distribution interval 4 relative to standard ranking distribution interval 3 is 1 and the relative ranking order is after standard ranking distribution interval 3, the adjustment mode is to decrease and the adjustment ratio is 0.9.

[0134] Preset ranking distribution interval 5: (80, 100%]: interval strategy: the adjustment mode is to decrease, the adjustment ratio is 0.81, the corresponding control interval 5 is [648, 810, 1012, 1215], and the boundary values in control interval 5 are reduced by 10% relative to the boundary values of control interval 4. For example, 648 = 720 * (1 - 10%), and the boundary values in control interval 5 are 0.9 2 times that of the corresponding boundary values in standard interval 3. For example, 648 = 800 * 0.9 2 Since the relative order of preset ranking distribution interval 5 relative to standard ranking distribution interval 3 is 2 and the relative ranking order is after standard ranking distribution interval 3, the adjustment mode is to decrease and the adjustment ratio is 0.9 2 .

[0135] When the type of the adjustment parameter in the preset control mapping relationship is the fixed value type, the preset fixed value is 100, and the number of each preset ranking distribution interval included in the preset control mapping relationship is 3:

[0136] Standard ranking distribution interval 11: [0, 33%]: standard interval 11 {800, 1000, 1250, 1500}, interval strategy: the adjustment mode is to maintain, and the preset fixed value is 0.

[0137] Preset ranking distribution interval 22: (33, 66%]: interval strategy: the adjustment mode is to decrease, the preset fixed value is 100, the corresponding control interval 22: {700, 900, 1150, 1400}, and the boundary values in control interval 22 are decreased by 100 relative to the boundary values of standard interval 11. For example, 700 = 800 - 100. Since the relative order of preset ranking distribution interval 22 relative to standard ranking distribution interval 11 is 1 and the relative ranking order is after standard ranking distribution interval 1, the adjustment mode is to decrease and the preset fixed value is 100.

[0138] Preset ranking distribution interval 33: (66, 100%]: Interval strategy: The adjustment mode is to decrease, the adjustment fixed value is 200, the corresponding control interval 33: {600, 800, 1050, 1300}, the boundary values in the control interval 33 are 200 lower than the boundary values of the standard interval 11, and the boundary values in the control interval 33 are 100 lower than the boundary values of the standard interval 22. For example, 700 = 800 - 100. Since the relative order of the preset ranking distribution interval 33 with respect to the standard ranking distribution interval 11 is 2, and the relative ranking order is after the standard ranking distribution interval 1, the adjustment mode is to decrease, and the adjustment fixed value is 200.

[0139] Since the types of adjustment parameters in the same preset control mapping relationship in this embodiment are the same, it is convenient to comprehensively determine the interval strategies of each preset ranking distribution interval in the preset control mapping relationship, and it is also convenient to reasonably determine the interval strategies corresponding to each preset ranking distribution in the preset control mapping relationship to determine the control interval corresponding to the preset ranking distribution. It is avoided that the boundary values of the control intervals corresponding to each preset ranking distribution interval in the same preset control mapping relationship differ too much, so as to affect the accuracy of the control intervals corresponding to each preset ranking distribution interval.

[0140] Furthermore, for better understanding of this embodiment, refer to the following example. Taking the air quality as the CO2 concentration as an example, an example is given to illustrate the determination of the control interval corresponding to the air quality when the air conditioning equipment is started:

[0141]

[0142] The preset ranking distribution intervals corresponding to CO2 given in the table are (40, 60%] and (60, 80%] respectively. The above table does not fully give all the preset ranking distribution intervals corresponding to CO2. The control intervals corresponding to each preset ranking distribution interval are control interval 3 and control interval 4 respectively. Continuing the above example where the adjustment parameter is the adjustment ratio, control interval 3 is the standard interval, CO2 ≤ 800, 800 < CO2 ≤ 1000, 1000 < CO2 ≤ 1250, 1250 < CO2 ≤ 1500, and 1500 < CO2 are the sub-standard intervals of the standard interval respectively, and CO2 ≤ 720, 720 < CO2 ≤ 900, 900 < CO2 ≤ 1125, 1125 < CO2 ≤ 1350, and 1350 < CO2 are the sub-intervals corresponding to control interval 4 respectively. The air conditioning operations corresponding to each sub-standard interval and each sub-interval are from 0 to 4 gears. When the air conditioning equipment is started, the detected air quality has a target relative ranking of 68.8% in the preset quality ranking sequence. 68.8% belongs to (60, 80%], and the operation of the air conditioning equipment can be controlled based on the control interval 4 corresponding to (60, 80%].

[0143] An embodiment of the present invention further provides a control device 40 for an air conditioning device. Please refer to Figure 4 , the control device 40 of the air conditioning device includes:

[0144] An acquisition module 10, configured to acquire the air quality of the air conditioning device when it starts up;

[0145] An adjustment module 20, configured to determine a control range for air conditioning according to the air quality. The control range includes a plurality of sub-ranges and the corresponding air conditioning operations for each sub-range;

[0146] A control module 30, configured to control the operation of the air conditioning device based on the determined control range.

[0147] The control device of the air conditioning device provided by the present invention adopts the control method of the air conditioning device in the above embodiment, and can solve the technical problem of poor adjustment effect of the air conditioning device. Compared with the prior art, the beneficial effects of the control device of the air conditioning device provided by the embodiment of the present invention are the same as those of the control method of the air conditioning device provided by the above embodiment, and other technical features in the control device of the air conditioning device are the same as the features disclosed in the method of the above embodiment, and will not be elaborated here.

[0148] An embodiment of the present invention provides an air conditioning device, including a body, an operation module disposed in the body, and a control device; the control device includes a memory, a processor, and a control program stored in the memory and executable on the processor. When the control program is executed by the processor, at least one processor can execute the control method of the air conditioning device in the above embodiment.

[0149] Next, refer to Figure 5 , which shows a schematic structural diagram of a control device suitable for implementing the embodiments of the present disclosure. Figure 5 The shown structure of the control device is only an example, and should not bring any limitation to the functions and usage scope of the embodiments of the present disclosure.

[0150] As Figure 5As shown in the figure, the control device may include a processor 101, such as a CPU, a communication bus 102, a user interface 103, a network interface 104, and a memory 105. Among them, the communication bus 102 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard). Optionally, the user interface 103 may also include a standard wired interface and a wireless interface. The network interface 104 may optionally include a standard wired interface and a wireless interface (such as a Wi-Fi interface). The memory 105 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. Optionally, the memory 105 may also be a storage device independent of the aforementioned processor 101.

[0151] Those skilled in the art can understand that Figure 5 the structure of the control device shown in the figure does not constitute a limitation on the control device, and it may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0152] As Figure 5 shown, the memory 105, as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a control program.

[0153] In Figure 5 the control device shown in the figure, the network interface 104 is mainly used to connect to the background server and communicate with the background server for data; the user interface 103 is mainly used to connect to the client and communicate with the client for data; and the processor 101 may be used to call the control program stored in the memory 105 to execute the steps of the control method for the air conditioning device.

[0154] The air conditioning device provided by the present invention adopts the control method of the air conditioning device in the above embodiment, and can solve the technical problem of poor adjustment effect of the air conditioning device. Compared with the prior art, the beneficial effects of the air conditioning device provided by the embodiment of the present invention are the same as those of the control method of the air conditioning device provided by the above embodiment, and other technical features in this air conditioning device are the same as those disclosed in the method of the previous embodiment, and will not be elaborated here.

[0155] It should be understood that each part of the present disclosure can be implemented by hardware, software, firmware, or a combination of them. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0156] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

[0157] An embodiment of the present invention provides a computer-readable storage medium, including computer-readable program instructions stored thereon, and the computer-readable program instructions are used to execute the control method of the air-conditioning device in the first embodiment above.

[0158] The computer-readable storage medium provided by the embodiment of the present invention can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination of the above. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection including one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM) or a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or combined with an instruction execution system, device, or device. The program code contained on the computer-readable storage medium can be transmitted by any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0159] The above computer-readable storage medium can be included in the control device; it can also exist separately without being assembled into the control device.

[0160] The above computer-readable storage medium carries one or more programs. When the one or more programs are executed by the control device, the control device is caused to: obtain the air quality of the air-conditioning device at startup; determine a control range for air conditioning according to the air quality, the control range including a plurality of sub-ranges and the air-conditioning operations corresponding to each sub-range; and control the operation of the air-conditioning device based on the determined control range.

[0161] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0162] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that, in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system for performing the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.

[0163] The modules described in the embodiments of the present disclosure may be implemented in software or in hardware. In some cases, the name of the module does not constitute a limitation on the unit itself.

[0164] The readable storage medium provided by the present invention is a computer-readable storage medium. The computer-readable storage medium stores computer-readable program instructions for performing the control method of the above air-conditioning device, and can solve the technical problem of poor adjustment effect of the air-conditioning device. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the embodiments of the present invention are the same as those of the control method of the air-conditioning device provided by the above embodiments, and will not be elaborated herein.

[0165] An embodiment of the present invention further provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the control method of the air conditioning device as described above.

[0166] The computer program product provided by the present invention can solve the technical problem of poor adjustment effect of the air conditioning device. Compared with the prior art, the beneficial effects of the computer program product provided by the embodiment of the present invention are the same as those of the control method of the air conditioning device provided by the above embodiment, and will not be elaborated here.

[0167] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent scope of the present invention.

Claims

1. A control method for an air conditioning device, characterized in that, The control method includes: Obtaining the air quality when the air conditioning device starts up; Determining a control range for air conditioning according to the air quality, where the control range includes a plurality of sub - ranges and corresponding air conditioning operations for each sub - range; Controlling the operation of the air conditioning device based on the determined control range; The step of determining a control range for air conditioning according to the air quality includes: Obtaining a preset quality ranking sequence of the area where the air conditioning device is located; Determining the target relative ranking of the air quality in the preset quality ranking sequence; Obtaining the control range corresponding to the target relative ranking as the control range for air conditioning.

2. The control method of the air conditioning equipment according to claim 1, characterized in that, The step of obtaining a preset quality ranking sequence of the area where the air conditioning device is located includes: Obtaining the historical operation data of other air conditioning devices in the same area as the air conditioning device, and determining the historical air quality of each air conditioning device from the historical operation data; Sorting the historical air quality to obtain a historical quality sequence; Determining the ranking percentile of each historical air quality in the historical quality sequence respectively to obtain a preset quality ranking sequence.

3. The control method of the air conditioning equipment according to claim 2, characterized in that, The step of determining the historical air quality of each from the historical operation data includes: Determining each user adjustment data from the historical operation data; For each user adjustment data, when the user adjustment data includes a switch quality threshold of the air conditioning device, using the switch quality threshold as the historical air quality; When the user adjustment data includes the gear adjustment thresholds of each gear of the air conditioning device, using the average value of each gear adjustment threshold, or the weighted average value of each gear adjustment threshold as the historical air quality.

4. The control method of the air conditioning equipment according to claim 1, characterized in that The step of obtaining the control range corresponding to the target relative ranking includes: Determining the interval strategy to which the target relative ranking belongs in each preset ranking distribution interval of the preset distribution control mapping relationship; Obtaining the control range corresponding to the target relative ranking according to the determined interval strategy.

5. The control method of the air conditioning equipment according to claim 4, characterized in that, The step of obtaining the control range corresponding to the target relative ranking according to the determined interval strategy includes: Obtaining a preset standard range, where the standard range includes a plurality of sub - standard ranges and corresponding air conditioning operations for each sub - standard range; Adjusting the sub - standard ranges in the preset standard range according to the determined interval strategy to obtain new sub - ranges; Generating the control range corresponding to the target relative ranking based on the new sub - ranges and the air conditioning operations corresponding to each sub - standard range.

6. The control method of the air conditioning equipment according to claim 5, characterized in that, The interval strategy includes an adjustment mode and adjustment parameters, and the adjustment mode includes increasing and decreasing; The step of adjusting the sub - standard ranges in the preset standard range according to the determined interval strategy to obtain new sub - ranges includes: Obtaining all boundary values for dividing a plurality of sub - standard ranges in the preset standard range; Calculating all the obtained boundary values according to the adjustment mode and adjustment parameters of the interval strategy to obtain new boundary values; Obtaining new sub - ranges according to the new boundary values.

7. The control method of the air conditioning equipment according to any one of claims 1-6, characterized in that, The step of controlling the operation of the air conditioning device based on the determined control range includes: Obtaining the current air quality; Determine the target sub-interval according to the current air quality and the control interval; Control the operation of the air conditioning equipment according to the air conditioning operation corresponding to the target sub-interval.

8. An air conditioning device, characterized in that, It includes a main body, an operation module arranged in the main body, and a control device; the control device includes a memory, a processor, and a control program stored in the memory and executable on the processor. When the control program is executed by the processor, it executes the steps of the control method according to any one of claims 1-7.

9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, storing a control program executable on a processor. The control program is called by the processor to implement the steps of the control method according to any one of claims 1-7.

Citation Information

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