Position determination method, device, air conditioning system and readable storage medium

Abstract

The present invention provides a position determination method, device, air conditioning system and readable storage medium. The position determination method includes: obtaining return air temperature information of each indoor unit; determining a first correlation coefficient between every two indoor units according to the return air temperature information; classifying multiple indoor units according to the first correlation coefficient to obtain a set number of classification groups; in each classification group, taking any indoor unit as a positioning point and generating relative position information according to the first correlation coefficient, without the need for maintenance personnel to manually maintain the relative position relationship between the multiple indoor units, thereby reducing the difficulty of maintaining the relative position relationship between the multiple indoor units, which is beneficial to reducing the time cost and labor cost required for maintenance.

Description

Technical Field

[0001] The present invention relates to the field of control technology, and in particular to a position determination method, device, air conditioning system and readable storage medium. Background Art

[0002] like Figure 1 As shown, in an indoor installation environment where multiple indoor units are installed, linkage control will be performed on the multiple indoor units. Before the linkage control, the relative positions between the indoor units need to be obtained.

[0003] Technicians in this field have found that in the existing solutions, it takes a lot of time and energy to maintain the relative positions of the indoor units, the maintenance cost is relatively high, and it cannot meet the current maintenance needs. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art or related art.

[0005] To this end, a first aspect of the present invention provides a location determination method.

[0006] A second aspect of the present invention provides a position determining device.

[0007] A third aspect of the present invention provides an air conditioning system.

[0008] A fourth aspect of the present invention provides a readable storage medium.

[0009] In view of this, according to the first aspect of the present invention, the present invention provides a position determination method, including: obtaining return air temperature information of each indoor unit; determining a first correlation coefficient between every two indoor units based on the return air temperature information; classifying multiple indoor units according to the first correlation coefficient to obtain a set number of classification groups; in each classification group, taking any indoor unit as a positioning point and generating relative position information according to the first correlation coefficient.

[0010] The technical solution of the present application proposes a position determination method. By running the position determination method, the relative positions between multiple indoor units can be detected. In this process, there is no need for maintenance personnel to manually maintain the relative position relationship between the multiple indoor units. Therefore, the difficulty of maintaining the relative position relationship between the multiple indoor units is reduced, which is conducive to reducing the time cost and labor cost required for maintenance. At the same time, the relative position information determined by the above-mentioned position determination method of the present application is obtained based on the detection results. Therefore, the obtained relative position information is more reliable.

[0011] The technical solution of the present application is implemented based on the following principles. Specifically, different indoor units are installed at different locations, and there is a distance between different indoor units, and the distance will be different due to different installation locations. Due to the existence of this distance, the influence between different indoor units will be inconsistent. For example, if one indoor unit is in a first sealed environment and another indoor unit is in a second sealed environment, and there is no heat transfer between the first sealed environment and the second sealed environment, in this case, there is no influence between the indoor units in different sealed environments. However, when there are multiple indoor units in a sealed environment, there is an influence between different indoor units.

[0012] The technical solution of the present application is to collect these influences and utilize the correlation between the influences and the distances between different indoor units to estimate the relative position information between different indoor units.

[0013] Considering that the indoor unit is a device for adjusting the temperature in a sealed environment, and the indoor units with influence share a sealed environment, the above influence can be extracted by collecting the return air temperature information of the indoor unit. Specifically, the return air temperature information of multiple indoor units is traversed and obtained. If two indoor units are close to each other, the influence between the two indoor units will be serious. The correlation coefficient between two indoor units among the multiple indoor units determined by obtaining the return air temperature information will also be greater. Therefore, the distance between different indoor units can be characterized according to the correlation coefficient.

[0014] After determining the distance between two indoor units, multiple indoor units can be classified into the same classification group based on the distance.

[0015] Among them, since the correlation coefficient between different indoor units can characterize the distance between different indoor units, after the classification group division is completed, any indoor unit in the divided classification group can be used as a positioning point to obtain the relative position relationship between other indoor units in the classification group. After traversing all classification groups, the relative distribution of all indoor units can be obtained, that is, the relative position information in this application.

[0016] In any of the above technical solutions, the return air temperature information of the indoor unit may be a discrete temperature value, that is, the return air temperature information detected by the indoor unit at intervals of a fixed detection time is expressed in the form of a temperature sequence.

[0017] In one of the technical solutions, it can be understood that the return air temperature information is the temperature information at the return air outlet of the indoor unit.

[0018] In one of the technical solutions, a temperature sensor may be provided at the return air outlet of the indoor unit, and the temperature information at the return air outlet may be acquired by using the temperature sensor.

[0019] In addition, the location determination method claimed in the present application also has the following additional distinguishing technical features, specifically including:

[0020] In the above technical solution, the first correlation coefficient between every two indoor units is determined based on the return air temperature information, specifically including: determining the covariance of the return air temperature information corresponding to every two indoor units; determining the variance value of the return air temperature information corresponding to each indoor unit; and determining the first correlation coefficient based on the variance and covariance.

[0021] In this technical solution, a determination scheme of the first correlation coefficient is specifically defined. Specifically, the calculation formula of the first correlation coefficient is as follows:

[0022]

[0023] Wherein, X is one of every two indoor units, Y is the other of every two indoor units, cov(X, Y) is the covariance of the return air temperature information of X and Y, Var[X] is the variance of the return air temperature information of X, and Var[Y] is the variance of the return air temperature information of Y.

[0024] In any of the above technical solutions, multiple indoor units are classified according to the first correlation coefficient to obtain a set number of classification groups, including: classifying the two indoor units with the largest first correlation coefficient into one category; taking the indoor unit classified into one category as the first indoor unit, and respectively determining the second correlation coefficients between the first indoor unit and the remaining outdoor units among the multiple indoor units except the first indoor unit, and classifying the two indoor units with the largest second correlation coefficient into one category until the multiple indoor units are classified into one category; setting a correlation coefficient threshold for the second correlation coefficient according to the set number of classification groups; and classifying the multiple indoor units according to the second correlation coefficient and the correlation coefficient threshold to obtain a set number of classification groups.

[0025] In this technical solution, the distance between different indoor units can be characterized according to the first correlation coefficient. Therefore, after determining the first correlation coefficient between two indoor units among multiple indoor units, the obtained first correlation coefficients can be arranged in order, and then the two indoor units with the largest correlation coefficients can be determined. From the above, it can be seen that the first correlation coefficient can be used to characterize the distance between different indoor units. Therefore, the two indoor units corresponding to the largest first correlation coefficient are the two indoor units closest to each other.

[0026] After determining the two indoor units closest to each other, determine whether the other indoor units have been classified. If the other indoor units have been classified, determine whether the multiple indoor units have been classified into one classification group, that is, whether there is only one classification group after classification. If the judgment result is yes, arrange the multiple indoor units according to the first correlation coefficient.

[0027] In the above case, a set number is obtained. Since the set number is used to characterize how many classification groups a plurality of indoor units are divided into, a correlation coefficient threshold can be set according to the set number, so that the indoor units in the classification group can be divided according to the set correlation coefficient threshold, and finally a set number of classification groups are obtained.

[0028] In this process, through the above scheme, the classification processing of unclassified indoor units is realized, the rationality of classifying the multiple indoor units into classification groups is improved, and the accuracy of the relative position information of the multiple indoor units is ensured.

[0029] In any technical solution, it also includes: obtaining space partition information where multiple indoor units are installed; and determining the set number of classification groups based on the space partition information.

[0030] In this technical solution, since the set number is determined based on the acquired space partition information, the set number can be reasonably set according to the space where the indoor unit is installed. In this process, the impact of unreasonable setting of the set number on the selection of the preset threshold is reduced, ensuring the accuracy of the relative position information of multiple indoor units, and ultimately reducing the difficulty of maintenance personnel in maintaining the relative position information, such as reducing manpower operating costs and time costs.

[0031] In any of the above technical solutions, the space partition information can be determined based on information collected by the installer when installing multiple indoor units.

[0032] In any of the above technical solutions, the spatial distribution information may be room division information or office area division information.

[0033] In any of the above technical solutions, any indoor unit is used as a positioning point and relative position information is generated according to the first correlation coefficient, specifically including: determining the quantization value corresponding to the first correlation coefficient according to a preset quantization relationship; obtaining the coordinate information of the indoor units other than any indoor unit according to the quantization value and the positioning point; and generating relative position information according to the positioning point and the coordinate information.

[0034] In this technical solution, the method for generating relative position information is specifically limited. Specifically, based on the above, it can be seen that the size of the correlation coefficient is correlated with the distance between different indoor units. Therefore, a mapping relationship between the correlation coefficient and the distance values ​​between different indoor units can be pre-constructed so that after the correlation coefficient is obtained, the distance values ​​between different indoor units can be determined according to the mapping relationship.

[0035] Specifically, in the present application, a preset quantitative relationship is a mapping relationship between the correlation coefficient and the distance values ​​between different indoor units. Therefore, after determining the quantization value, the coordinate information corresponding to the indoor unit corresponding to the quantization value can be determined based on the positioning point and quantization value of any indoor unit in the classification group, so as to know the relative position relationship between any indoor unit and other indoor units based on the positioning point and coordinate information.

[0036] In one of the technical solutions, the positioning point can be understood as the coordinate origin.

[0037] In any of the above technical solutions, in the preset quantization relationship, the correlation coefficient is negatively correlated with the quantization value.

[0038] In any of the above technical solutions, the relative position information is a topological map.

[0039] In this technical solution, the form of expression of relative position information is specifically limited. By limiting the relative position information to be displayed in the form of a topological map, the user can intuitively perceive the location distribution between different indoor units. Therefore, different indoor units can be controlled more directly to ensure the control effect.

[0040] In any of the above technical solutions, before obtaining the return air temperature information of each indoor unit, it also includes: controlling multiple indoor units to operate in cooling mode, heating mode or dehumidification mode; or controlling one of the multiple indoor units to operate in cooling mode, heating mode or dehumidification mode, and controlling the other indoor units among the multiple indoor units to operate in air supply mode.

[0041] In this technical solution, the operating states of multiple indoor units are limited so that the relative position information between different indoor units can be quickly determined.

[0042] Specifically, multiple indoor units can be controlled to operate in cooling mode, heating mode, or dehumidification mode at the same time, so that multiple indoor units can adjust the temperature of the environment in which the indoor units are located at the same time, so as to determine the relative position information between different indoor units while achieving rapid cooling, heating, or dehumidification.

[0043] In one of the technical solutions, before obtaining the return air temperature information of each indoor unit, each of the multiple indoor units can be controlled to operate in accordance with the target operation mode in turn, while the other indoor units operate in the air supply mode, wherein the target operation mode can be any one of the heating mode, cooling mode and dehumidification mode.

[0044] In any of the above technical solutions, it also includes: acquiring absolute position information of any indoor unit, and determining actual position information based on the absolute position information and relative position information.

[0045] In this technical solution, the process of converting the relative position information into actual position information after obtaining the relative position information of multiple indoor units is specifically defined. Specifically, the absolute position information of any indoor unit is obtained so that the actual position information can be determined based on the absolute position information. In this process, the absolute position information is converted so that the user can more intuitively determine the positions of different indoor units and the distribution between different indoor units, so as to control different indoor units according to the actual position information.

[0046] In any of the above technical solutions, it also includes: obtaining the return air temperature difference sequence of each indoor unit; determining an evaluation index based on the average value and variance of the return air temperature difference sequence between every two indoor units; and determining a preset number of indoor units around each indoor unit based on the evaluation index.

[0047] In one of the technical solutions, the relative position information can be corrected based on the obtained position distribution between different indoor units to improve the credibility of the relative position information, thereby improving the accuracy of controlling different indoor units based on the relative position information.

[0048] In any of the above technical solutions, the evaluation index is the absolute value of the product of the mean value and the variance of the return air temperature difference sequence.

[0049] According to a second aspect of the present invention, the present invention provides a position determination device for multiple indoor units, including: an acquisition module for acquiring return air temperature information of each indoor unit; a determination module for determining a first correlation coefficient between every two indoor units based on the return air temperature information; a classification module for classifying multiple indoor units according to the first correlation coefficient and a preset threshold to obtain a set number of classification groups; a generation module for generating relative position information in each classification group, using the first indoor unit as a positioning point and based on the first correlation coefficient.

[0050] The technical solution of the present application proposes a position determination device. Multiple indoor units using the position determination device can detect the relative positions between the multiple indoor units. During this process, there is no need for maintenance personnel to manually maintain the relative position relationship between the multiple indoor units. Therefore, the difficulty of maintaining the relative position relationship between the multiple indoor units is reduced, which is beneficial to reducing the time cost and labor cost required for maintenance. At the same time, the relative position information determined by the above-mentioned position determination method of the present application is obtained based on the detection results. Therefore, the obtained relative position information is more reliable.

[0051] The technical solution of the present application is implemented based on the following principles. Specifically, different indoor units are installed at different locations, and there is a distance between different indoor units, and the distance will be different due to different installation locations. Due to the existence of this distance, the influence between different indoor units will be inconsistent. For example, if one indoor unit is in a first sealed environment and another indoor unit is in a second sealed environment, and there is no heat transfer between the first sealed environment and the second sealed environment, in this case, there is no influence between the indoor units in different sealed environments. However, when there are multiple indoor units in a sealed environment, there is an influence between different indoor units.

[0052] The technical solution of the present application is to collect these influences and utilize the correlation between the influences and the distances between different indoor units to estimate the relative position information between different indoor units.

[0053] Considering that the indoor unit is a device for adjusting the temperature in a sealed environment, and the indoor units with influence share a sealed environment, the above influence can be extracted by collecting the return air temperature information of the indoor unit. Specifically, the return air temperature information of multiple indoor units is traversed and obtained. If two indoor units are close to each other, the influence between the two indoor units will be serious. The correlation coefficient between two indoor units among the multiple indoor units determined by obtaining the return air temperature information will also be greater. Therefore, the distance between different indoor units can be characterized according to the correlation coefficient.

[0054] After determining the distance between two indoor units, multiple indoor units can be classified into the same classification group based on the distance.

[0055] Among them, since the correlation coefficient between different indoor units can characterize the distance between different indoor units, after the classification group division is completed, any indoor unit in the divided classification group can be used as a positioning point to obtain the relative position relationship between other indoor units in the classification group. After traversing all classification groups, the relative distribution of all indoor units can be obtained, that is, the relative position information in this application.

[0056] In any of the above technical solutions, the return air temperature information of the indoor unit may be a discrete temperature value, that is, the return air temperature information detected by the indoor unit at intervals of a fixed detection time is expressed in the form of a temperature sequence.

[0057] In one of the technical solutions, it can be understood that the return air temperature information is the temperature information at the return air outlet of the indoor unit.

[0058] In one of the technical solutions, a temperature sensor may be provided at the return air outlet of the indoor unit, and the temperature information at the return air outlet may be acquired by using the temperature sensor.

[0059] In one of the technical solutions, the determination module is specifically used to determine the covariance of the return air temperature information corresponding to every two indoor units; determine the variance value of the return air temperature information corresponding to each indoor unit; and determine the first correlation coefficient based on the variance and covariance.

[0060] In one of the technical solutions, the classification module is specifically used to classify the two indoor units with the largest first correlation coefficient into one category; the indoor unit classified into one category is used as the first indoor unit, and the second correlation coefficients between the first indoor unit and the remaining outdoor units among the multiple indoor units except the first indoor unit are respectively determined, and the two indoor units with the largest second correlation coefficient are classified into one category until the multiple indoor units are classified into one category; according to the set number of classification groups, a correlation coefficient threshold is set for the second correlation coefficient; the multiple indoor units are divided according to the second correlation coefficient and the correlation coefficient threshold to obtain a set number of classification groups.

[0061] In one of the technical solutions, the classification module is also used to obtain space partition information where multiple indoor units are installed; and determine the set number of classification groups based on the space partition information.

[0062] In one of the technical solutions, the generation module is used to determine the quantization value corresponding to the first correlation coefficient according to a preset quantization relationship; obtain the coordinate information of the indoor units except any indoor unit according to the quantization value and the positioning point; and generate relative position information according to the positioning point and the coordinate information.

[0063] In one of the technical solutions, in a preset quantization relationship, the correlation coefficient is negatively correlated with the quantization value.

[0064] In one of the technical solutions, the relative position information is a topological map.

[0065] In one of the technical solutions, the acquisition module is also used to control multiple indoor units to operate in cooling mode, heating mode or dehumidification mode; or to control one of the multiple indoor units to operate in cooling mode, heating mode or dehumidification mode, and the other indoor units among the multiple indoor units to operate in air supply mode.

[0066] In one of the technical solutions, the generation module is also used to obtain the absolute position information of any indoor unit, and determine the actual position information based on the absolute position information and the relative position information.

[0067] In one of the technical solutions, the generation module is also used to obtain the return air temperature difference sequence of each indoor unit; determine the evaluation index based on the average value and variance of the return air temperature difference sequence between every two indoor units; and determine a preset number of indoor units around each indoor unit based on the evaluation index.

[0068] In one of the technical solutions, the evaluation index is the absolute value of the product of the mean value and the variance of the return air temperature difference sequence.

[0069] According to the third aspect of the present invention, the technical solution of the present application proposes an air-conditioning system, comprising: a plurality of indoor units; a control device, the control device communicates with the plurality of indoor units, and is used to execute the steps of the position determination method as described in any one of the first aspects.

[0070] The technical solution of the present application provides an air conditioning system, which includes a control device and a plurality of indoor units, wherein the control device performs the steps of any one of the position determination methods in the first aspect,

[0071] Therefore, the air conditioning system has all the beneficial technical effects of any of the above-mentioned position determination methods.

[0072] I will not go into details here.

[0073] In any of the above technical solutions, it also includes: an outdoor unit, wherein the outdoor unit is connected to the indoor unit.

[0074] According to a fourth aspect of the present invention, a readable storage medium is provided, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the position determination method as described in any one of the first aspects are implemented.

[0075] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0077] Figure 1 The figure shows the distribution of multiple indoor units in the indoor installation environment in the related technical solution;

[0078] Figure 2 A schematic flow chart of a method for determining a position according to an embodiment of the present invention is shown;

[0079] Figure 3 A schematic diagram showing a flow chart of a solution for determining a first correlation coefficient according to an embodiment of the present invention;

[0080] Figure 4 A schematic flow chart showing a process of determining a set number of classification groups according to an embodiment of the present invention;

[0081] Figure 5 A schematic diagram showing an actual usage scenario in an embodiment of the present invention;

[0082] Figure 6 A schematic diagram showing a correlation coefficient threshold in one embodiment of the present invention is shown;

[0083] Figure 7 A schematic diagram of a process for generating relative position information according to an embodiment of the present invention is shown;

[0084] Figure 8 A schematic diagram showing quantized values ​​of relative distances between different indoor units according to an embodiment of the present invention is shown;

[0085] Fig. 9 A schematic diagram showing relative position information between multiple indoor units according to an embodiment of the present invention;

[0086] Fig.10 A schematic diagram showing the form of relative position information according to an embodiment of the present invention is shown;

[0087] Fig.11 Shows one form of a topology diagram according to an embodiment of the present invention;

[0088] Fig.12 A schematic diagram showing a representation of a preset quantization relationship according to an embodiment of the present invention;

[0089] Fig.13 A schematic block diagram of position determination according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0090] In order to more clearly understand the above aspects, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0091] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0092] Embodiment 1

[0093] like Figure 2 As shown, according to one embodiment of the present invention, the present invention provides a location determination method, including:

[0094] Step 102, collecting temperature information at the return air outlet of each indoor unit to obtain return air temperature information;

[0095] Step 104, calculating a first correlation coefficient between two indoor units according to the collected return air temperature information;

[0096] Step 106, using the first correlation coefficient as a reference, classifying the plurality of indoor units to obtain a set number of classification groups;

[0097] Step 108: In each classification group, one indoor unit is selected as a positioning point, and relative position information is generated by using the calculated first correlation coefficient as a reference.

[0098] An embodiment of the present application proposes a position determination method. By running the position determination method, the relative positions between multiple indoor units can be detected. During this process, there is no need for maintenance personnel to manually maintain the relative position relationship between the multiple indoor units. Therefore, the difficulty of maintaining the relative position relationship between the multiple indoor units is reduced, which is beneficial to reducing the time cost and labor cost required for maintenance. At the same time, the relative position information determined by the above-mentioned position determination method of the present application is obtained based on the detection results. Therefore, the obtained relative position information is more reliable.

[0099] The embodiments of the present application are implemented based on the following principles. Specifically, different indoor units are installed at different locations, and there is a distance between different indoor units, and the distance will be different due to different installation locations. Due to the existence of this distance, the influence between different indoor units will be inconsistent. For example, when one indoor unit is in a first sealed environment and another indoor unit is in a second sealed environment, there is no heat transfer between the first sealed environment and the second sealed environment. In this case, there is no influence between the indoor units in different sealed environments. When there are multiple indoor units in a sealed environment, there is an influence between different indoor units.

[0100] The embodiments of the present application collect these influences and use the correlation between the influences and the distances between different indoor units to estimate the relative position information between different indoor units.

[0101] Considering that the indoor unit is a device for adjusting the temperature in a sealed environment, and the indoor units with influence share a sealed environment, the above influence can be extracted by collecting the return air temperature information of the indoor unit. Specifically, the return air temperature information of multiple indoor units is traversed and obtained. If two indoor units are close to each other, the influence between the two indoor units will be serious. The correlation coefficient between two indoor units among the multiple indoor units determined by obtaining the return air temperature information will also be greater. Therefore, the distance between different indoor units can be characterized according to the correlation coefficient.

[0102] After determining the distance between two indoor units, multiple indoor units can be classified into the same classification group based on the distance.

[0103] Among them, since the correlation coefficient between different indoor units can characterize the distance between different indoor units, after the classification group division is completed, any indoor unit in the divided classification group can be used as a positioning point to obtain the relative position relationship between other indoor units in the classification group. After traversing all classification groups, the relative distribution of all indoor units can be obtained, that is, the relative position information in this application.

[0104] In any of the above embodiments, the return air temperature information of the indoor unit may be a discrete temperature value, that is, the return air temperature information detected by the indoor unit at intervals of a fixed detection time is expressed in the form of a temperature sequence.

[0105] In one of the embodiments, it can be understood that the return air temperature information is the temperature information at the return air outlet of the indoor unit.

[0106] In one of the embodiments, a temperature sensor may be provided at the return air outlet of the indoor unit, and the temperature information at the return air outlet may be acquired by using the temperature sensor.

[0107] Embodiment 2

[0108] In this embodiment, a determination scheme of the first correlation coefficient is specifically defined, specifically, as follows: Figure 3 As shown, including:

[0109] Step 202, randomly selecting two indoor units from a plurality of indoor units, and calculating the covariance of the return air temperature information corresponding to the selected indoor units;

[0110] Step 204, determining the variance value of the return air temperature information corresponding to the selected indoor unit;

[0111] Step 206: Obtain a first correlation coefficient between the selected indoor units by performing operations on the variance and covariance.

[0112] In this embodiment, a determination scheme of the first correlation coefficient is specifically defined. Specifically, the calculation formula of the first correlation coefficient is as follows:

[0113]

[0114] Wherein, X is one of every two indoor units, Y is the other of every two indoor units, cov(X, Y) is the covariance of the return air temperature information of X and Y, Var[X] is the variance of the return air temperature information of X, and Var[Y] is the variance of the return air temperature information of Y.

[0115] Embodiment 3

[0116] In this embodiment, the determination process of a set number of classification groups is specifically defined, specifically, as follows: Figure 4 As shown, including:

[0117] Step 302, sorting the first correlation coefficients, selecting two indoor units corresponding to the largest first correlation coefficients, and classifying them into one category;

[0118] Step 304: based on the fact that the multiple indoor units are not classified into one category, the indoor units classified into one category are taken as the first indoor unit, and the second correlation coefficients between the first indoor unit and the remaining outdoor units except the first indoor unit among the multiple indoor units are respectively determined, the second correlation coefficients are sorted, and two indoor units corresponding to the largest second correlation coefficients are selected and classified into one category, until all the multiple indoor units are classified into one category;

[0119] Step 306, obtaining a set number of classification groups, and selecting a correlation coefficient threshold for the second correlation coefficient according to the set number;

[0120] Step 308: Classify the multiple indoor units according to the second correlation coefficient and the correlation coefficient threshold to obtain a set number of classification groups.

[0121] In this embodiment, the distance between different indoor units can be characterized according to the first correlation coefficient. Therefore, after determining the first correlation coefficient between two indoor units among multiple indoor units, the obtained first correlation coefficients can be arranged in order to determine the two indoor units with the largest correlation coefficients. From the above, it can be seen that the first correlation coefficient can be used to characterize the distance between different indoor units. Therefore, the two indoor units corresponding to the largest first correlation coefficient are the two indoor units with the closest distance.

[0122] After determining the two indoor units closest to each other, determine whether the other indoor units have been classified. If the other indoor units have been classified, determine whether the multiple indoor units have been classified into one classification group, that is, whether there is only one classification group after classification. If the judgment result is yes, arrange the multiple indoor units according to the first correlation coefficient.

[0123] In the above case, a set number is obtained. Since the set number is used to characterize how many classification groups a plurality of indoor units are divided into, a correlation coefficient threshold can be set according to the set number, so that the indoor units in the classification group can be divided according to the set correlation coefficient threshold, and finally a set number of classification groups are obtained.

[0124] Considering that the number of indoor units is more than two, it can be three or more, that is, after the two indoor units corresponding to the largest first correlation coefficient after arrangement are classified into one category, there are still a number of indoor units that have not been classified. In this case, the indoor units that have been classified into one category are taken as a whole, that is, the first indoor unit in this application, and the second correlation coefficient between the first indoor unit and the unclassified indoor units is determined, so as to use the second correlation coefficient to aggregate the multiple indoor units, and finally aggregate the multiple indoor units into one category.

[0125] Specifically, for example, Figure 5 As shown, there are 9 indoor units. From the perspective of building plan, they can be divided into 4 areas: office area, conference area 1, conference area 2, and corridor area.

[0126] Among them, the indoor units include indoor unit 1, indoor unit 2, indoor unit 3, indoor unit 4, indoor unit 5, indoor unit 6, indoor unit 7, indoor unit 8 and indoor unit 9, among which indoor unit 1 is represented by 1#, indoor unit 2 is represented by 2#, indoor unit 3 is represented by 3#, indoor unit 4 is represented by 4#, indoor unit 5 is represented by 5#, indoor unit 6 is represented by 6#, indoor unit 7 is represented by 7#, indoor unit 8 is represented by 8#, and indoor unit 9 is represented by 9#. The calculation results of the first correlation coefficients between the multiple indoor units are shown in Table 1.

[0127] Table 1

[0128]

[0129] Based on Table 1, it can be seen that the two indoor units with the largest first correlation coefficient are 3# and 4#. Therefore, 3# and 4# are classified into one category, and 3# and 4# are regarded as one indoor unit to calculate the second correlation coefficient with other indoor units, and Table 2 is obtained.

[0130] Table 2

[0131]

[0132] Based on Table 2, it can be seen that the second correlation coefficient between 3# and 6# is the largest. At this time, it is considered that 3# and 6# are of the same type. Repeat the above steps to obtain Table 3.

[0133] Table 3

[0134] 1# 2# Type 1 5# 7# 8# 9￥ 1# Correlation coefficient 0 0.9356 0.884475 0.8787 0.6604 0.3823 0.7991 2# Correlation coefficient 0.9356 0 0.9187 0.8722 0.7134 0.4081 0.8497 Type 1 Correlation coefficient 0.884475 0.9187 0 0.942675 0.816175 0.4023 0.863025 5# Correlation coefficient 0.8787 0.8722 0.942675 0 0.7431 0.3517 0.814 7# Correlation coefficient 0.6604 0.7134 0.816175 0.7431 0 0.4667 0.7488 8# Correlation coefficient 0.3823 0.4081 0.4023 0.3517 0.4667 0 0.4821 9# Correlation coefficient 0.7991 0.8497 0.863025 0.814 0.7488 0.4821 0

[0135] Based on Table 3, it can be seen that the correlation coefficient between type 1 and 5# is the largest. Therefore, type 1 and 5# are divided into one category, and the above steps are repeated to obtain Table 4.

[0136] Table 4

[0137] 1# 2# Type 1 7# 8# 9# Correlation coefficient Correlation coefficient Correlation coefficient Correlation coefficient Correlation coefficient Correlation coefficient 1# Correlation coefficient 0 0.9356 0.8815875 0.6604 0.3823 0.7991 2# Correlation coefficient 0.9356 0 0.89545 0.7134 0.4081 0.8497 Type 1 Correlation coefficient 0.884475 0.9187 0 0.816175 0.4023 0.863025 7# Correlation coefficient 0.6604 0.7134 0.7796375 0 0.4667 0.7488 8# Correlation coefficient 0.3823 0.4081 0.377 0.4667 0 0.4821 9# Correlation coefficient 0.7991 0.8497 0.8385125 0.7488 0.4821 0 Maximum 0.9356 0.9356 0.89545 0.816175 0.4821 0.863025

[0138] Based on Table 4, it can be seen that the correlation coefficient between 1# and 2# is the largest. Therefore, 1# and 2# are divided into one category, and the above steps are repeated to obtain Table 5.

[0139] Table 5

[0140]

[0141]

[0142] Repeat the above steps to obtain Table 6.

[0143] Table 6

[0144] Type 1 7# 8# 9# Correlation coefficient Correlation coefficient Correlation coefficient Correlation coefficient Type 1 Correlation coefficient 0 0.73326875 0.3861 0.83145625 7# Correlation coefficient 0.733269 0 0.4667 0.7488 8# Correlation coefficient 0.3861 0.4667 0 0.4821 9# Correlation coefficient 0.831456 0.7488 0.4821 0 Maximum 0.831456 0.7488 0.4821 0.83145625

[0145] In one embodiment, the second correlation coefficient may be an average value of first correlation coefficients between the indoor units classified into one category and the first indoor unit.

[0146] Specifically, Figure 6 As shown, the correlation coefficient threshold is also the correlation coefficient setting value. Based on the above table, it can be seen that the correlation coefficient threshold is selected between 0.8314 and 0.9016.

[0147] In one of the embodiments, a correlation coefficient threshold is set for the second correlation coefficient according to a set number of classification groups. It can be understood that the correlation coefficient threshold is reasonably selected according to the set number so as to divide multiple indoor units into a set number of classification groups.

[0148] In this process, through the above scheme, the classification processing of unclassified indoor units is realized, the rationality of classifying the multiple indoor units into classification groups is improved, and the accuracy of the relative position information of the multiple indoor units is ensured.

[0149] In one of the embodiments, the method further includes: obtaining space partition information where multiple indoor units are installed; and determining a set number based on the space partition information.

[0150] In this embodiment, since the set number is determined based on the acquired space partition information, the set number can be reasonably set according to the space where the indoor unit is installed. In this process, the impact of unreasonable setting of the set number on the selection of the preset threshold is reduced, thereby ensuring the accuracy of the relative position information of multiple indoor units, and ultimately reducing the difficulty of maintenance personnel in maintaining the relative position information, such as reducing manpower operating costs and time costs.

[0151] In any of the above embodiments, the space partition information may be determined based on information collected by the installer when installing multiple indoor units.

[0152] In any of the above embodiments, the spatial distribution information may be room division information or office area division information.

[0153] Embodiment 4

[0154] In this embodiment, the specific process of generating relative position information is specifically defined, such as Figure 7 As shown, specifically including:

[0155] Step 502, obtaining a preset quantization relationship, so as to determine a quantization value corresponding to the first correlation coefficient according to the preset quantization relationship;

[0156] Step 504, in the classification group, according to the quantization value and the positioning point, the coordinate information of the indoor units other than any selected indoor unit is obtained;

[0157] Step 506: Generate relative position information according to the positioning point and coordinate information.

[0158] In this embodiment, the method for generating relative position information is specifically limited. Specifically, based on the above, it can be seen that the size of the correlation coefficient is correlated with the distance between different indoor units. Therefore, a mapping relationship between the correlation coefficient and the distance values ​​between different indoor units can be pre-constructed so that after the correlation coefficient is obtained, the distance values ​​between different indoor units can be determined according to the mapping relationship.

[0159] Specifically, in the present application, a preset quantitative relationship is a mapping relationship between the correlation coefficient and the distance values ​​between different indoor units. Therefore, after determining the quantization value, the coordinate information corresponding to the indoor unit corresponding to the quantization value can be determined based on the positioning point and quantization value of any indoor unit in the classification group, so as to know the relative position relationship between any indoor unit and other indoor units based on the positioning point and coordinate information.

[0160] In one embodiment, the positioning point can be understood as a coordinate origin.

[0161] In one embodiment, in the preset quantization relationship, the correlation coefficient is negatively correlated with the quantization value.

[0162] In one embodiment, the corresponding relationship between the correlation coefficient and the quantization value is shown in Table 7.

[0163] Table 7

[0164]

[0165] In one embodiment, if Figure 8 As shown, it is a schematic diagram of the quantized values ​​of relative distances between different indoor units.

[0166] In one of the embodiments, the relative position information may be expressed in the form of Table 8.

[0167] Table 8

[0168]

[0169]

[0170] Here, x and y represent coordinates on coordinate axes that are perpendicular to each other.

[0171] like Fig. 9 As shown, the relative position information between multiple indoor units can be obtained based on Table 8.

[0172] In one embodiment, Fig.10 A schematic diagram showing a form of relative position information.

[0173] In one embodiment, the relative position information is a topological map.

[0174] In this embodiment, the form of expression of the relative position information is specifically limited. The relative position information is limited to be displayed in the form of a topological map so that the user can intuitively perceive the location distribution between different indoor units. Therefore, different indoor units can be controlled more directly to ensure the control effect.

[0175] In one embodiment, Fig.11 One form of a topology diagram is shown.

[0176] In one embodiment, Fig.12 A schematic diagram showing the expression form of the preset quantization relationship.

[0177] In one of the embodiments, it also includes: obtaining a return air temperature difference sequence of each indoor unit; determining an evaluation index based on the average value and variance of the return air temperature difference sequence between every two indoor units; and determining a preset number of indoor units around each indoor unit based on the evaluation index.

[0178] Specifically, for indoor environments, the closer the distance between two indoor units with the same operating conditions, the more obvious the mutual influence of their return air states, the overall fluctuation of the return air temperature will tend to the same curve, and the average value of the return air temperature difference sequence will be smaller. However, considering that there may be operating equipment in independent spaces, the curve that its return air temperature tends to may be similar to that of any indoor unit in the same operating state. In this case, the average return air temperature difference obtained is very small and has no judgment significance. However, in this case, the return air temperature difference sequence will fluctuate greatly because their actual correlation is low and the consistency of temperature change trend is low. Therefore, the calculation of the variance of the return air temperature difference sequence is increased, and the return air temperature sequence will have a larger variance in this case.

[0179] By calculating the mean value mean and variance square_d of the return air temperature difference sequence of each indoor unit, an evaluation index ms=abs(mean×square_d) is constructed based on the above reasons. This index is used to measure the real distance between each device, so as to obtain a more accurate location distribution between each indoor unit based on the classification results.

[0180] In one embodiment, the average value and variance of the difference in return air temperature between the indoor units are calculated based on the collected data, and the data shown in Table 9 are obtained as evaluation indicators. Based on the data in Table 9, the x units with the most similar evaluation indicators of each indoor unit are searched to obtain a group of adjacent indoor units with a number of x for each indoor unit.

[0181] Table 9

[0182] reflect Ms×100 reflect ms×100 5#_4# 0.0598 8#_3# 1.7914 9#_6# 0.0607 3#_1# 1.9423 4#_3# 0.0855 7#_4# 2.1904 3#_2# 0.1162 7#_5# 2.6424 6#_4# 0.1462 4#_1# 2.7475 5#_3# 0.1857 7#_3# 3.6615 4#_2# 0.2374 5#_1# 3.8646 6#_5# 0.2740 8#_4# 4.0014 6#_3# 0.3702 6#_1# 4.6805 9#_4# 0.6215 7#_2# 4.8638 7#_6# 0.7590 8#_2# 4.8690 5#_2# 0.7971 8#_5# 5.8419 9#_5# 0.8551 9#_1# 6.0566 6#_2# 0.9902 9#_8# 12.2646 9#_7# 1.0892 8#_6# 12.5563 9#_3# 1.1470 7#_1# 15.5748 9#_2# 1.3748 8#_7# 18.5582 2#_1# 1.4805 8#_1# 48.3287

[0183] For example, if the value of x is 3, Table 10 can be obtained.

[0184] Table 10

[0185] Indoor unit number Nearby indoor unit number 1# [2#,3#,4#] 2# [3#,4#,5#] 3# [4#,2#,5#] 4# [5#,3#,6#] 5# [4#,3#,6#] 6# [9#,4#,5#] 7# [6#,9#,4#] 8# [3#,4#,2#] 9# [6#,4#,5#]

[0186] Based on Table 10, the distribution of multiple indoor units can be obtained. Based on the above distribution, the position distribution of different indoor units can be obtained.

[0187] In one embodiment, based on the position distribution between different indoor units obtained in Table 10, the relative position information can be corrected to improve the credibility of the relative position information, thereby improving the accuracy of controlling different indoor units based on the relative position information.

[0188] In any of the above embodiments, the evaluation index is the absolute value of the product of the mean value and the variance of the return air temperature difference sequence.

[0189] In one of the embodiments, before obtaining the return air temperature information of each indoor unit, it also includes: controlling multiple indoor units to operate in cooling mode, heating mode or dehumidification mode; or controlling one of the multiple indoor units to operate in cooling mode, heating mode or dehumidification mode, and the other indoor units among the multiple indoor units to operate in air supply mode.

[0190] In this embodiment, the operating states of a plurality of indoor units are limited so that the relative position information between different indoor units can be quickly determined.

[0191] Specifically, multiple indoor units can be controlled to operate in cooling mode, heating mode, or dehumidification mode at the same time, so that multiple indoor units can adjust the temperature of the environment in which the indoor units are located at the same time, so as to determine the relative position information between different indoor units while achieving rapid cooling, heating, or dehumidification.

[0192] In one of the embodiments, before obtaining the return air temperature information of each indoor unit, each of the multiple indoor units can be controlled to operate in accordance with a target operation mode in turn, while the other indoor units operate in an air supply mode, wherein the target operation mode can be any one of a heating mode, a cooling mode and a dehumidification mode.

[0193] Embodiment 5

[0194] In one of the embodiments, the method further includes: acquiring absolute position information of any indoor unit, and determining actual position information according to the absolute position information and the relative position information.

[0195] In this embodiment, the process of converting the relative position information into actual position information after obtaining the relative position information of multiple indoor units is specifically defined. Specifically, the absolute position information of any indoor unit is obtained so that the actual position information can be determined based on the absolute position information. In this process, the absolute position information is converted so that the user can more intuitively determine the positions of different indoor units and the distribution between different indoor units, so as to control different indoor units according to the actual position information.

[0196] Embodiment 6

[0197] According to one embodiment of the present invention, Fig.13As shown, the present invention provides a position determination device 600 for multiple indoor units, including: an acquisition module 602, used to obtain return air temperature information of each indoor unit; a determination module 604, used to determine a first correlation coefficient between every two indoor units based on the return air temperature information; a classification module 606, used to classify multiple indoor units according to the first correlation coefficient and a preset threshold value to obtain a set number of classification groups; a generation module 608, used to generate relative position information in each classification group, using the first indoor unit as a positioning point and according to the first correlation coefficient.

[0198] The embodiment of the present application proposes a position determination device 600. Multiple indoor units using the position determination device 600 can detect the relative positions between the multiple indoor units. During this process, there is no need for maintenance personnel to manually maintain the relative position relationship between the multiple indoor units. Therefore, the difficulty of maintaining the relative position relationship between the multiple indoor units is reduced, which is beneficial to reducing the time cost and manpower cost required for maintenance. At the same time, the relative position information determined by the above-mentioned position determination method of the present application is obtained based on the detection results. Therefore, the obtained relative position information is more reliable.

[0199] The embodiments of the present application are implemented based on the following principles. Specifically, different indoor units are installed at different locations, and there is a distance between different indoor units, and the distance will be different due to different installation locations. Due to the existence of this distance, the influence between different indoor units will be inconsistent. For example, when one indoor unit is in a first sealed environment and another indoor unit is in a second sealed environment, there is no heat transfer between the first sealed environment and the second sealed environment. In this case, there is no influence between the indoor units in different sealed environments. When there are multiple indoor units in a sealed environment, there is an influence between different indoor units.

[0200] The embodiments of the present application collect these influences and use the correlation between the influences and the distances between different indoor units to estimate the relative position information between different indoor units.

[0201] Considering that the indoor unit is a device for adjusting the temperature in a sealed environment, and the indoor units with influence share a sealed environment, the above influence can be extracted by collecting the return air temperature information of the indoor unit. Specifically, the return air temperature information of multiple indoor units is traversed and obtained. If two indoor units are close to each other, the influence between the two indoor units will be serious. The correlation coefficient between two indoor units among the multiple indoor units determined by obtaining the return air temperature information will also be greater. Therefore, the distance between different indoor units can be characterized according to the correlation coefficient.

[0202] After determining the distance between two indoor units, multiple indoor units can be classified into the same classification group based on the distance.

[0203] Among them, since the correlation coefficient between different indoor units can characterize the distance between different indoor units, after the classification group division is completed, any indoor unit in the divided classification group can be used as a positioning point to obtain the relative position relationship between other indoor units in the classification group. After traversing all classification groups, the relative distribution of all indoor units can be obtained, that is, the relative position information in this application.

[0204] In any of the above embodiments, the return air temperature information of the indoor unit may be a discrete temperature value, that is, the return air temperature information detected by the indoor unit at intervals of a fixed detection time is expressed in the form of a temperature sequence.

[0205] In one of the embodiments, it can be understood that the return air temperature information is the temperature information at the return air outlet of the indoor unit.

[0206] In one of the embodiments, a temperature sensor may be provided at the return air outlet of the indoor unit, and the temperature information at the return air outlet may be acquired by using the temperature sensor.

[0207] Embodiment 7

[0208] In one of the embodiments, the embodiment of the present application proposes an air conditioning system, comprising: a plurality of indoor units; a control device, the control device communicating with the plurality of indoor units, and being used to execute the steps of any of the above-mentioned position determination methods.

[0209] In this embodiment, the embodiment of the present application proposes an air-conditioning system, which includes a control device and multiple indoor units, wherein the control device executes the steps of any of the above-mentioned position determination methods, and therefore, the air-conditioning system has all the beneficial technical effects of any of the above-mentioned position determination methods.

[0210] For example: the relative positions between multiple indoor units can be detected. During this process, there is no need for maintenance personnel to manually maintain the relative position relationship between the multiple indoor units. Therefore, the difficulty of maintaining the relative position relationship between the multiple indoor units is reduced, which is beneficial to reducing the time cost and labor cost required for maintenance. At the same time, the relative position information determined by the above-mentioned position determination method of the present application is based on the detection results. Therefore, the obtained relative position information is more reliable. Other technical effects will not be repeated here.

[0211] In one of the embodiments, the air conditioning system further includes: an outdoor unit, wherein the outdoor unit is connected to the indoor unit.

[0212] In this embodiment, refrigerant exchange is performed between the outdoor unit and the indoor unit to achieve heat exchange.

[0213] Embodiment 8

[0214] In one of the embodiments, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of any of the above-mentioned position determination methods are implemented.

[0215] When the program or instructions stored on the readable storage medium proposed by the present invention are executed, the steps of any of the above-mentioned position determination methods can be implemented. Therefore, the readable storage medium has all the beneficial technical effects of any of the above-mentioned position determination methods, which will not be repeated here.

[0216] In the description of the present invention, the term "plurality" refers to two or more than two. Unless otherwise clearly defined, the orientation or positional relationship indicated by the terms "upper" and "lower" is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention. The terms "connection", "installation", "fixation", etc. should be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be directly connected or indirectly connected through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0217] In the description of the present invention, the description of the terms "one embodiment", "some embodiments", "specific embodiments", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In the present invention, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0218] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for determining a position of a plurality of indoor units, characterized in that: include: Acquiring return air temperature information of each indoor unit; Determining a first correlation coefficient between every two of the indoor units according to the return air temperature information; Classify the plurality of indoor units according to the first correlation coefficient to obtain a set number of classification groups; In each of the classification groups, taking any of the indoor units as a positioning point and generating relative position information according to the first correlation coefficient; Acquire the absolute position information of any of the indoor units, and determine the actual position information according to the absolute position information and the relative position information; Determining a first correlation coefficient between every two indoor units according to the return air temperature information specifically includes: Determine the covariance of the return air temperature information corresponding to each two of the indoor units; Determine a variance value of the return air temperature information corresponding to each of the indoor units; The first correlation coefficient is determined according to the variance and the covariance.

2. The method for determining a position according to claim 1, characterized in that: The step of classifying the plurality of indoor units according to the first correlation coefficient to obtain a set number of classification groups includes: Classifying the two indoor units with the largest first correlation coefficient into one category; The indoor units classified into one category are taken as first indoor units, and second correlation coefficients between the first indoor unit and the remaining outdoor units except the first indoor unit among the plurality of indoor units are respectively determined, and two indoor units with the largest second correlation coefficients are classified into one category until the plurality of indoor units are classified into one category; According to the set number of classification groups, setting a correlation coefficient threshold for the second correlation coefficient; The plurality of indoor units are divided according to the second correlation coefficient and the correlation coefficient threshold to obtain a set number of classification groups.

3. The method for determining a position according to claim 2, characterized in that: Also includes: Acquire spatial partition information where a plurality of indoor units are installed; The set number of the classification groups is determined according to the space partition information.

4. The position determination method according to any one of claims 1 to 3, characterized in that: Taking any indoor unit as a positioning point and generating relative position information according to the first correlation coefficient, specifically includes: Determining a quantization value corresponding to the first correlation coefficient according to a preset quantization relationship; Obtaining coordinate information of indoor units other than any one of the indoor units according to the quantized value and the positioning point; Relative position information is generated according to the positioning point and the coordinate information.

5. The method for determining a position according to claim 4, characterized in that: In the preset quantization relationship, the correlation coefficient is negatively correlated with the quantization value.

6. The position determination method according to any one of claims 1 to 3, characterized in that: The relative position information is a topological map.

7. The position determination method according to any one of claims 1 to 3, characterized in that: Before obtaining the return air temperature information of each indoor unit, the method further includes: Controlling the plurality of indoor units to operate in a cooling mode, a heating mode or a dehumidification mode; or One of the plurality of indoor units is controlled to operate in a cooling mode, a heating mode or a dehumidification mode, and the other indoor units of the plurality of indoor units are controlled to operate in an air supply mode.

8. The position determination method according to any one of claims 1 to 3, characterized in that: Also includes: Obtaining a return air temperature difference sequence of each indoor unit; Determine an evaluation index according to the average value and variance of the return air temperature difference sequence between every two indoor units; A preset number of the indoor units around each of the indoor units is determined according to the evaluation index.

9. The method for determining a position according to claim 8, characterized in that: The evaluation index is the absolute value of the product of the mean value and the variance of the return air temperature difference sequence.

10. A position determination device for multiple indoor units, characterized in that: include: An acquisition module, used for acquiring return air temperature information of each indoor unit; A determination module, used for determining a first correlation coefficient between every two indoor units according to the return air temperature information; a classification module, configured to classify the plurality of indoor units according to the first correlation coefficient and a preset threshold value to obtain a set number of classification groups; A generating module, configured to generate relative position information in each of the classification groups, taking the first indoor unit as a positioning point and according to the first correlation coefficient; The generating module is further used to obtain the absolute position information of any of the indoor units, and determine the actual position information according to the absolute position information and the relative position information; Determining a first correlation coefficient between every two indoor units according to the return air temperature information specifically includes: Determine the covariance of the return air temperature information corresponding to each two of the indoor units; Determine a variance value of the return air temperature information corresponding to each of the indoor units; The first correlation coefficient is determined according to the variance and the covariance.

11. An air conditioning system, characterized in that: include: Multiple indoor units; A control device, which communicates with the plurality of indoor units and is used to execute the steps of the position determination method according to any one of claims 1 to 9.

12. The air conditioning system according to claim 11, characterized in that: Also includes: An outdoor unit, wherein the outdoor unit is connected to the indoor unit.

13. A readable storage medium having a program or instruction stored thereon, characterized in that: When the program or instruction is executed by a processor, the steps of the position determination method according to any one of claims 1 to 9 are implemented.

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