POSITION DETERMINATION METHOD AND APPARATUS, AND AIR CONDITIONING SYSTEM AND READABLE STORAGE MEDIUM

FIELD

The present disclosure relates to the field of control, and in particular to a method and device for position determination, an air conditioning system, and a readable storage medium.

BACKGROUND

As shown in FIG. 1, indoor units are under linkage control when being mounted indoors. Relative positions of the indoor units must be acquired before linkage control.

Maintenance of the relative positions of the indoor units is time-consuming, labor-consuming and costly in existing solutions, and therefore cannot satisfy current maintenance requirements.

SUMMARY

The present disclosure is intended to at least solve one problem in the prior art or the related art.

To this end, a method for position determination is provided in a first aspect of the present disclosure.

A device for position determination is provided in a second aspect of the present disclosure.

An air conditioning system is provided in a third aspect of the present disclosure.

A readable storage medium is provided in a fourth aspect of the present disclosure.

In view of that, in the first aspect, the present disclosure provides a method for position determination. The method includes: acquiring 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 indoor units based on the first correlation coefficient to obtain a number of classified groups; and generating relative position information in each classified group by using any one of the air conditioning indoor units as a locating point based on the first correlation coefficient.

A method for position determination is provided according to the embodiment of the present disclosure. By running this method for position determination, relative positions of indoor units can be measured. In this process, maintenance personnel are not required to manually maintain a relative position relation of indoor units. Therefore, the maintenance difficulty of the relative position relation of indoor units is reduced, and a time cost and a labor cost required for maintenance are reduced accordingly. In one embodiment, the relative position information determined through the above method for position determination of the present disclosure is acquired based on a measurement result, and is therefore more reliable.

The embodiment of the present disclosure is implemented based on the principles as follows: different indoor units are mounted at different positions, and a distance is formed between different indoor units and varies with different mounting positions. In the presence of the distance, the influence between different indoor units is inconsistent. In some embodiment, when one indoor unit is positioned in a first sealed environment and another indoor unit is positioned in a second sealed environment, no heat is transferred between the first sealed environment and the second sealed environment, and therefore no influence is generated between the indoor units in different sealed environments. However, when there are indoor units in a sealed environment, influence is generated between different indoor units.

According to the embodiment of the present disclosure, the influence is collected, and the relative position information of different indoor units is estimated exactly through the collected influence and a correlation between the influence and the distance between different indoor units.

Considering that the indoor unit is an apparatus configured to adjust a temperature in a sealed environment and the indoor units influencing each other share a sealed environment, the above influence can be extracted by collecting the return air temperature information of the indoor unit. In an embodiment, return air temperature information of indoor units is acquired through traversing. The closer the two indoor units are, the greater the influence between these two indoor units, and the greater the correlation coefficient between every two of indoor units determined based on the acquired return air temperature information. Therefore, the distance between different indoor units can be represented through the correlation coefficient.

After a distance between every two indoor units is determined, whether indoor units can be divided into the same classified group can be determined according to this distance.

Since the correlation coefficient between different indoor units can represent a distance condition between different indoor units, after division into the classified group is completed, any one of the indoor units in the classified group obtained through division can be taken as the locating point to obtain a relative position relation of the other indoor units in this classified group. After all the classified groups are traversed, a relative distribution condition of all the indoor units, that is, the relative position information in the present disclosure, can be obtained.

In any one of the above embodiments, the return air temperature information of the indoor unit can be a discrete temperature, that is, return air temperature information measured by the indoor unit at every fixed measurement time interval is expressed as a temperature sequence.

In one embodiment, it can be understood that the return air temperature information is temperature information at a return air inlet of the indoor unit.

In one embodiment, a temperature sensor can be arranged at the return air inlet of the indoor unit to acquire the temperature information at the return air inlet.

In addition, the method for position determination claimed by the present disclosure further has the following additional distinguishable features, and includes:

In the above embodiment, the step of determining the first correlation coefficient between every two indoor units based on the return air temperature information includes: determining a covariance of return air temperature information corresponding to every two indoor units; determining a variance of the return air temperature information corresponding to each indoor unit; and determining the first correlation coefficient based on the variance and the covariance.

In this embodiment, a determination solution for the first correlation coefficient is defined. A calculation formula for the first correlation coefficient is as follows:

$r (X, Y) = \frac{cov (X, Y)}{\sqrt{Var [X] \cdot Var [Y]}}$

where r(X,Y) denotes the first correlation coefficient, X denotes one of every two indoor units, Y denotes the other of every two indoor units, cov(X, Y) denotes a covariance of return air temperature information of X and Y, Var [X] denotes a variance of the return air temperature information of X, and Var [Y] denotes a variance of the return air temperature information of Y.

In any one of the above embodiments, the step of classifying indoor units based on the first correlation coefficient to obtain a number of classified groups includes: dividing two indoor units with the largest first correlation coefficient into one class; taking the indoor units divided into one class as first indoor units, determining second correlation coefficients between the first indoor units and remaining indoor units, except for the first indoor units, of indoor units respectively, and dividing two indoor units with the largest second correlation coefficient into one class until indoor units are divided into one class; setting a correlation coefficient threshold for the second correlation coefficient based on the number of the classified groups; and dividing indoor units based on the second correlation coefficient and the correlation coefficient threshold to obtain a number of classified groups.

In this embodiment, the distance between different indoor units can be represented through the first correlation coefficient. Therefore, after the first correlation coefficients between every two of indoor units are determined, the first correlation coefficients obtained can be ranked, and then the two indoor units with the largest correlation coefficient are determined. It can be seen from the above that the first correlation coefficient can be configured to represent the distance between different indoor units. Therefore, the two indoor units corresponding to the largest first correlation coefficient are two indoor units closest to each other.

After the two indoor units closest to each other are determined, whether the other indoor units have been classified is determined. Under the condition that after the other indoor units have been classified, whether indoor units have been classified into one classified group, that is, whether there is only one classified group, is further determined; and if yes, indoor units are arranged based on the first correlation coefficient.

In the above case, the number is acquired. Since the number is configured to represent the number of classified groups into which indoor units are divided, the correlation coefficient threshold can be set based on the number, and the indoor units in the classified group are divided based on the set correlation coefficient threshold, and finally a number of classified groups are obtained.

In this process, through the above solution, unclassified indoor units are classified. Accordingly, the rationality of classifying and dividing indoor units into the classified groups is improved, and the accuracy of the relative position information of indoor units is ensured.

In any one of the embodiments, the method further includes: acquiring space partition information for indoor units; and determining the number of the classified groups based on the space partition information.

In this embodiment, the number is determined based on the acquired space partition information, and therefore can be rationally set based on the space for mounting the indoor units. In this process, the influence on selection of a preset threshold caused by irrational setting of the number is reduced, the accuracy of the relative position information of indoor units is ensured, and finally the maintenance difficulty of the relative position information for maintenance personnel is reduced, in some embodiment, a human resource operation cost and a time cost are reduced.

In any of the above embodiments, the space partition information can be determined based on information collected by mounting personnel in a process of mounting indoor units.

In any of the above embodiments, the space partition information can be room division information or office area division information.

In any one of the above embodiments, the step of generating relative position information by using any one of the air conditioning indoor units as a locating point based on the first correlation coefficient includes: determining a quantitative value corresponding to the first correlation coefficient based on a preset quantitative relation; acquiring coordinate information of an indoor unit except for any one of the indoor units based on the quantitative value and the locating point; and generating the relative position information based on the locating point and the coordinate information.

In this embodiment, a generation manner of the relative position information is defined. It can be seen from the above that the correlation coefficient is correlated with the distance between different indoor units. Therefore, a mapping relation between the correlation coefficient and the distance between different indoor units can be pre-constructed, and the distance between different indoor units can be determined based on the mapping relation after the correlation coefficient is acquired.

In an embodiment, in the present disclosure, the preset quantitative relation is the mapping relation between the correlation coefficient and the distance between different indoor units. Therefore, coordinate information corresponding to the indoor unit corresponding to the quantitative value can be determined based on a locating point of any one of the indoor units in this classified group and the quantitative value after the quantitative value is determined. Accordingly, a relative position relation between any one of the indoor units and the other indoor units is obtained based on the locating point and the coordinate information.

In one embodiment, the locating point can be interpreted as a coordinate origin.

In any one of the above embodiments, in the preset quantitative relation, the first correlation coefficient is negatively correlated with the quantitative value.

In any of the above embodiments, the relative position information is a topological graph.

In this embodiment, the expression form of the relative position information is defined. By defining the relative position information to be displayed in the form of the topological graph, a user can intuitively perceive a position distribution condition of different indoor units, to directly control different indoor units, ensuring a control effect.

In any one of the above embodiments, before the acquiring return air temperature information of each indoor unit, the method further includes: controlling indoor units to run in a refrigeration mode, a heating mode, or a dehumidification mode; and in one embodiment, controlling one of indoor units to run in a refrigeration mode, a heating mode, or a dehumidification mode, and controlling the others of indoor units to run in an air supply mode.

In this embodiment, the relative position information of different indoor units can be rapidly determined by defining running states of indoor units.

In an embodiment, indoor units can be controlled to simultaneously run in the refrigeration mode, the heating mode, or the dehumidification mode, to simultaneously adjust a temperature of an environment in which the indoor units are positioned, and determine the relative position information of different indoor units while rapid refrigeration, heating, or dehumidification is realized.

In one embodiment, before the acquiring return air temperature information of each indoor unit, indoor units can further be controlled to run in a target running mode in sequence, and the other indoor units can be controlled to run in the air supply mode. The target running mode can be any one of the heating mode, the refrigeration mode, and the dehumidification mode.

In any one of the above embodiments, the method further includes: acquiring absolute position information of any one of the indoor units, and determining actual position information based on the absolute position information and the relative position information.

In this embodiment, a process of converting the relative position information into the actual position information after the relative position information of indoor units is acquired is defined. In an embodiment, the absolute position information of any one of the indoor units is acquired, and the actual position information is determined based on the absolute position information. In this process, the user can more intuitively determine positions of different indoor units and the distribution condition of different indoor units by converting the absolute position information, to control different indoor units based on the actual position information.

In any one of the above embodiments, the method further includes: acquiring a return air temperature difference sequence of each indoor unit; determining an evaluation index based on a mean and a variance of return air temperature difference sequences of every two indoor units; and determining a preset number of indoor units around each indoor unit based on the evaluation index.

In one embodiment, the relative position information can be corrected based on the obtained position distribution condition of different indoor units. Therefore, the reliability of the obtained relative position information is improved, and the control accuracy of different indoor units based on the relative position information is improved accordingly.

In any of the above embodiments, the evaluation index is an absolute value of a product of the mean and the variance of the return air temperature difference sequences.

In the second aspect, the present disclosure provides a device for position determination. The device is configured for indoor units and includes: an acquisition device configured to acquire return air temperature information of each indoor unit; a determination device configured to determine a first correlation coefficient between every two indoor units based on the return air temperature information; a classification device configured to classify indoor units based on the first correlation coefficient to obtain a number of classified groups; and a generation device configured to generate relative position information in each classified group by taking any one of the indoor units as a locating point based on the first correlation coefficient.

A device for position determination is provided according to the embodiment of the present disclosure. By applying the device for position determination to indoor units, relative positions of indoor units can be measured. In this process, maintenance personnel are not required to manually maintain a relative position relation of indoor units. Therefore, the maintenance difficulty of the relative position relation of indoor units is reduced, and a time cost and a labor cost required for maintenance are reduced accordingly. In one embodiment, the relative position information determined through the above device for position determination of the present disclosure is acquired based on a measurement result, and is therefore more reliable.

After a distance between every two indoor units is determined, whether indoor units can be divided into the same classified group can be determined based on this distance.

In one embodiment, it can be understood that the return air temperature information is temperature information at a return air inlet of the indoor unit.

In one embodiment, a temperature sensor can be arranged at the return air inlet of the indoor unit to acquire the temperature information at the return air inlet.

In one embodiment, the determination device is configured to determine a covariance of return air temperature information corresponding to every two indoor units, determine a variance of the return air temperature information corresponding to each indoor unit, and determine the first correlation coefficient based on the variance and the covariance.

In one embodiment, the classification device is configured to divide two indoor units with the largest first correlation coefficient into one class; take the indoor units divided into one class as first indoor units, determine second correlation coefficients between the first indoor units and remaining indoor units, except for the first indoor units, of indoor units respectively, and divide two indoor units with the largest second correlation coefficient into one class until indoor units are divided into one class; set a correlation coefficient threshold for the second correlation coefficient based on the number of the classified groups; and divide indoor units based on the second correlation coefficient and the correlation coefficient threshold to obtain a number of classified groups.

In one embodiment, the classification device is further configured to acquire space partition information for indoor units; and determine the number of the classified groups based on the space partition information.

In one embodiment, the generation device is further configured to determine a quantitative value corresponding to the first correlation coefficient based on a preset quantitative relation; acquire coordinate information of an indoor unit except for any one of the indoor units based on the quantitative value and the locating point; and generate the relative position information based on the locating point and the coordinate information.

In one embodiment, in the preset quantitative relation, the first correlation coefficient is negatively correlated with the quantitative value.

In one embodiment, the relative position information is a topological graph.

In one embodiment, the acquisition device is further configured to control indoor units to run in a refrigeration mode, a heating mode, or a dehumidification mode; and in one embodiment, control one of indoor units to run in a refrigeration mode, a heating mode, or a dehumidification mode, and control the others of indoor units to run in an air supply mode.

In one embodiment, the generation device is further configured to acquire absolute position information of any one of the indoor units, and determine actual position information based on the absolute position information and the relative position information.

In one embodiment, the generation device is further configured to acquire a return air temperature difference sequence of each indoor unit; determine an evaluation index based on a mean and a variance of return air temperature difference sequences of every two indoor units; and determine a preset number of indoor units around each indoor unit based on the evaluation index.

In one embodiment, the evaluation index is an absolute value of a product of the mean and the variance of the return air temperature difference sequences.

In the third aspect, an air conditioning system is provided according to the embodiment of the present disclosure. The air conditioning system includes: indoor units; and a control device, where the control device communicates with the indoor units and is configured to execute steps of any one of the methods for position determination in the first aspect.

An air conditioning system provided according to the embodiment of the present disclosure includes the control device and indoor units. The control device executes the steps of any one of the methods for position determination in the first aspect. Therefore, the air conditioning system has all the beneficial effects of any one of the methods for position determination in the first aspect, which will not be repeated herein.

In any one of the above embodiments, the air conditioning system further includes: an outdoor unit, where the outdoor unit is connected to the indoor unit.

In the fourth aspect, the present disclosure provides a readable storage medium. The readable storage medium stores a program or an instruction, where the program or the instruction implements steps of any one of the methods for position determination in the first aspect.

Some additional embodiments of the present disclosure will be set forth in the following description, and other additional embodiments will be apparent from the following description, or learned by practice of the present disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

The above and/or additional embodiments of the present disclosure will become apparent and readily appreciated from the following description of embodiments in conjunction with the accompanying drawings. In the figures:

FIG. 1 shows a distribution condition of indoor units in an indoor mounting environment in the related embodiment;

FIG. 2 is a schematic flowchart of a method for position determination according to an embodiment of the present disclosure;

FIG. 3 is a schematic flowchart of a determination solution for a first correlation coefficient according to an embodiment of the present disclosure;

FIG. 4 is a schematic flowchart of a determination process of a number of classified groups according to an embodiment of the present disclosure;

FIG. 5 is a schematic diagram of an actual use scenario in an embodiment of the present disclosure;

FIG. 6 is a schematic diagram of a correlation coefficient threshold in an embodiment of the present disclosure;

FIG. 7 is a schematic flowchart of generating relative position information according to an embodiment of the present disclosure;

FIG. 8 is a schematic diagram of a quantitative value of a relative distance between different indoor units according to an embodiment of the present disclosure;

FIG. 9 is a schematic diagram of relative position information of indoor units according to an embodiment of the present disclosure;

FIG. 10 is a schematic form diagram of relative position information according to an embodiment of the present disclosure;

FIG. 11 shows one form of a topological graph according to an embodiment of the present disclosure;

FIG. 12 is a schematic diagram of an expression form of a preset quantitative relation according to an embodiment of the present disclosure; and

FIG. 13 is a schematic block diagram of a device for position determination according to an embodiment of the present disclosure.

DETAILED DESCRIPTION OF THE DISCLOSURE

In order to provide a clearer understanding of the above embodiments of the present disclosure, the present disclosure is further described in detail below with reference to the accompanying drawings and particular embodiments. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be mutually combined without conflicts.

In the following description, numerous specific details are set forth to provide a thorough understanding of the present disclosure. However, the present disclosure can further be implemented in other ways than those described herein. Therefore, the scope of protection of the present disclosure is not limited by the specific embodiments disclosed below.

As shown in FIG. 2, in an embodiment of the present disclosure, the present disclosure provides a method for position determination. The method includes:

step 102, temperature information at a return air port of each indoor unit is collected to obtain return air temperature information;

step 104, a first correlation coefficient between every two indoor units is calculated based on the collected return air temperature information;

step 106, indoor units are classified with reference to the first correlation coefficient to obtain a number of classified groups; and

step 108, relative position information is generated in each classified group by taking any one of the indoor units as a locating point based on the first calculated correlation coefficient.

In the embodiment of the present disclosure, the influence is collected, and the relative position information of different indoor units is estimated exactly through the collected influence and a correlation between the influence and the distance between different indoor units.

After a distance between every two indoor units is determined, whether indoor units can be divided into the same classified group can be determined based on this distance.

In one embodiment, it can be understood that the return air temperature information is temperature information at a return air inlet of the indoor unit.

In one embodiment, a temperature sensor can be arranged at the return air inlet of the indoor unit to acquire the temperature information at the return air inlet.

In this embodiment, a determination solution for a first correlation coefficient is defined. In an embodiment, as shown in FIG. 3, the determination solution includes:

step 202, any two of indoor units are selected, and a covariance of return air temperature information corresponding to the selected indoor units is calculated;

step 204: a variance of the return air temperature information corresponding to the selected indoor units is determined; and

step 206, a first correlation coefficient between the selected indoor units is acquired by performing an operation based on the variance and the covariance.

In this embodiment, the determination solution for the first correlation coefficient is defined. In an embodiment, a calculation formula for the first correlation coefficient is as follows:

r(X,Y)=cov(X,Y)/√{square root over (Var[X]·Var[Y])}

Where r(X,Y) denotes the first correlation coefficient, X denotes one of every two indoor units, Y denotes the other of every two indoor units, cov(X, Y) denotes a covariance of return air temperature information of X and Y, Var [X] denotes a variance of the return air temperature information of X, and Var [Y] denotes a variance of the return air temperature information of Y.

In this embodiment, a determination process of a number of classified groups is defined. In an embodiment, as shown in FIG. 4, the determination process includes:

- step 302, first correlation coefficients are ranked, and two indoor units with the largest first correlation coefficient are selected and divided into one class;
- step 304, the indoor units divided into one class are taken as first indoor units given that indoor units are not divided into one class, second correlation coefficients between the first indoor units and remaining indoor units, except for the first indoor units, of indoor units are determined, the second correlation coefficients are ranked, and two indoor units with the largest second correlation coefficient are selected and divided into one class until indoor units are classified into one class;
- step 306, the number of the classified groups is acquired, and a correlation coefficient threshold is selected for the second correlation coefficient based on the number; and
- step 308, indoor units are classified and divided based on the second correlation coefficient and the correlation coefficient threshold to obtain a number of classified groups.

In this embodiment, a distance between different indoor units can be represented through the first correlation coefficient. Therefore, after the first correlation coefficients between every two of indoor units are determined, the first correlation coefficients obtained can be ranked, and then the two indoor units with the largest correlation coefficient are determined. It can be seen from the above that the first correlation coefficient can be configured to represent the distance between different indoor units. Therefore, the two indoor units corresponding to the largest first correlation coefficient are two indoor units closest to each other.

Considering that two or more or three or more indoor units are provided, that is, after the two indoor units corresponding to the largest first correlation coefficient obtained after ranking are divided into one class, some indoor units are still not classified, in this case, the indoor units that have been divided into one class are taken as a whole, that is, the first indoor units in the present disclosure, and the second correlation coefficients between the first indoor unit and the indoor units that are unclassified are determined. Therefore, indoor unit can be aggregated through the second correlation coefficients, and can finally be aggregated into one class.

In an embodiment, in some embodiment, as shown in FIG. 5, there are 9 indoor units, which can be divided into 4 areas: an office area, conference area 1, conference area 2, and a corridor area on the basis of building planar partition.

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. Indoor unit 1 is denoted by 1 #, indoor unit 2 is denoted by 2 #, indoor unit 3 is denoted by 3 #, indoor unit 4 is denoted by 4 #, indoor unit 5 is denoted by 5 #, indoor unit 6 is denoted by 6 #, indoor unit 7 is denoted by 7 #, indoor unit 8 is denoted by 8 #, and indoor unit 9 is denoted by 9 #. Calculation results of the first correlation coefficients between every two of indoor units are shown in Table 1.

TABLE 1

1#
2#
3#
4#
5#
6#
7#
8#
9#

1#
First correlation
0
0.9356
0.9192
0.9025
0.8787
0.8581
0.6604
0.3823
0.7991

coefficient

2#
First correlation
0.9356
0
0.9305
0.9511
0.8722
0.8966
0.7134
0.4081
0.8497

coefficient

3#
First correlation
0.9192
0.9305
0
0.9728
0.9617
0.9522
0.7519
0.4081
0.8497

coefficient

4#
First correlation
0.9025
0.9511
0.9728
0
0.9344
0.9693
0.8038
0.3965
0.8732

coefficient

5#
First correlation
0.8787
0.8722
0.9617
0.9344
0
0.9373
0.7431
0.3517
0.814

coefficient

6#
First correlation
0.8581
0.8966
0.9522
0.9693
0.9373
0
0.8545
0.4023
0.8646

coefficient

7#
First correlation
0.6604
0.7134
0.7519
0.8038
0.7431
0.8545
0
0.4667
0.7488

coefficient

8#
First correlation
0.3823
0.4081
0.4081
0.3965
0.3517
0.4023
0.4667
0
0.4821

coefficient

9#
First correlation
0.7991
0.8497
0.8497
0.8732
0.814
0.8646
0.7488
0.4821
0

coefficient

Maximum
0.9356
0.9511
0.9728
0.9728
0.9617
0.9693
0.8545
0.4821
0.8732

As can be seen from Table 1, the two indoor units corresponding to the largest first correlation coefficient are #3 and #4. Therefore, #3 and #4 are divided into one class and taken as one indoor unit, and the second correlation coefficients between this indoor unit and the other indoor units are calculated to obtain Table 2.

TABLE 2

1#
2#
Class 1
5#
6#
7#
8#
9#

1#
Second correlation
0
0.9356
0.91085
0.8787
0.8581
0.6604
0.3823
0.7991

coefficient

2#
Second correlation
0.9356
0
0.9408
0.8722
0.8966
0.7134
0.4081
0.8497

coefficient

3#
Second correlation
0.91085
0.9408
0
0.94805
0.96075
0.77785
0.4023
0.86145

coefficient

5#
Second correlation
0.8787
0.8722
0.94805
0
0.9373
0.7431
0.3517
0.814

coefficient

6#
Second correlation
0.8581
0.8966
0.96075
0.9373
0
0.8545
0.4023
0.8646

coefficient

7#
Second correlation
0.6604
0.7134
0.77785
0.7431
0.8545
0
0.4667
0.7488

coefficient

8#
Second correlation
0.3823
0.4081
0.4023
0.3517
0.4023
0.4667
0
0.4821

coefficient

9#
Second correlation
0.7991
0.8497
0.86145
0.814
0.8646
0.7488
0.4821
0

coefficient

Maximum
0.9356
0.9408
0.96075
0.94805
0.96075
0.8545
0.4821
0.8646

As can be seen from Table 2, the second correlation coefficient between 3 #and 6 #is the largest, and therefore, 3 #and 6 #are deemed as belonging to the same class. The above steps are repeated to obtain Table 3.

TABLE 3

1#
2#
Class 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

Class 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

As can be seen from Table 3, the correlation coefficient between class 1 #and class 5 #is the largest, and therefore, class 1 #and class 5 #are divided into one class. The above steps are repeated to obtain Table 4.

TABLE 4

1#
2#
Class 1
7#
8#
9#

Correlation
Correlation
Correlation
Correlation
Correlation
Correlation

coefficient
coefficient
coefficient
coefficient
coefficient
coefficient

1#
Correlation
0
0.9356
0.8815875
0.6604
0.3823
0.7991

coefficient

2#
Correlation
0.9356
0
0.89545
0.7134
0.4081
0.8497

coefficient

Class
Correlation
0.884475
0.9187
0
0.816175
0.4023
0.863025

1
coefficient

7#
Correlation
0.6604
0.7134
0.7796375
0
0.4667
0.7488

coefficient

8#
Correlation
0.3823
0.4081
0.377
0.4667
0
0.4821

coefficient

9#
Correlation
0.7991
0.8497
0.8385125
0.7488
0.4821
0

coefficient

Maximum
0.9356
0.9356
0.89545
0.816175
0.4821
0.863025

As can be seen from Table 4, the correlation coefficient between 1 #and 2 #is the largest, and therefore, 1 #and 2 #are divided into one class. The above steps are repeated to obtain Table 5.

TABLE 5

Class 2
Class 1
7#
8#
9#

Correlation
Correlation
Correlation
Correlation
Correlation

coefficient
coefficient
coefficient
coefficient
coefficient

Class
Correlation
0
0.9015875
0.6869
0.3952
0.8244

2
coefficient

Class
Correlation
0.901588
0
0.816175
0.4023
0.863025

1
coefficient

7#
Correlation
0.6869
0.7796375
0
0.4667
0.7488

coefficient

8#
Correlation
0.3952
0.377
0.4667
0
0.4821

coefficient

9#
Correlation
0.8244
0.8385125
0.7488
0.4821
0

coefficient

Maximum
0.901588
0.9015875
0.816175
0.4821
0.863025

The above steps are repeated to obtain Table 6.

TABLE 6

Class 1
7#
8#
9#

Correlation
Correlation
Correlation
Correlation

coefficient
coefficient
coefficient
coefficient

Class 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

In one embodiment, the second correlation coefficient can be a mean of the first correlation coefficients between the indoor units divided into one class and the first indoor unit.

In an embodiment, as shown in FIG. 6, the correlation coefficient threshold is further a set correlation coefficient. As can be seen from the above table, the correlation coefficient threshold is selected from 0.8314 to 0.9016.

In one embodiment, the correlation coefficient threshold is set for the second correlation coefficient based on the number of the classified groups. It can be understood that the correlation coefficient threshold is rationally selected based on the number, and indoor units are divided into a number of classified groups.

In one embodiment, the process further includes: space partition information for indoor units is acquired; and the number is determined based on the space partition information.

In this embodiment, the number is determined based on the acquired space partition information, and therefore can be rationally set based on the space for mounting the indoor units.

In this process, the influence on selection of a preset threshold caused by irrational setting of the number is reduced, the accuracy of the relative position information of indoor units is ensured, and finally the maintenance difficulty of the relative position information for maintenance personnel is reduced, in some embodiment, a human resource operation cost and a time cost are reduced.

In any of the above embodiments, the space partition information can be determined based on information collected by mounting personnel in a process of mounting indoor units.

In any of the above embodiments, the space partition information can be room division information or office area division condition.

In this embodiment, a specific generation process of relative position information is defined. As shown in FIG. 7, the process includes:

- step 502, a preset quantitative relation is acquired to determine a quantitative value corresponding to a first correlation coefficient based on the preset quantitative relation;
- step 504, coordinate information of an indoor unit except for any one of selected indoor units is acquired in a classified group based on the quantitative value and a locating point; and
- step 506, the relative position information is generated based on the locating point and the coordinate information.

In this embodiment, a generation manner of the relative position information is defined. In an embodiment, it can be seen from the above that the correlation coefficient is correlated with a distance between different indoor units. Therefore, a mapping relation between the correlation coefficient and the distance between different indoor units can be pre-constructed, and the distance between different indoor units can be determined based on the mapping relation after the correlation coefficient is acquired.

Accordingly, a relative position relation between any one of the indoor units and the other indoor units is obtained based on the locating point and the coordinate information.

In one embodiment, the locating point can be interpreted as a coordinate origin.

In one embodiment, in the preset quantitative relation, the first correlation coefficient is negatively correlated with the quantitative value.

In one embodiment, a correspondence relation between the first correlation coefficient and the quantitative value is shown in Table 7.

TABLE 7

1#
2#
3#
4#
5#
6#
7#
8#
9#

11#
Correlation coefficient
0
0.9356
0.9192
0.9025
0.8787
0.8581
0.6604
0.3823
0.7991

Quantitative distance
0
0.5796
0.7272
0.8775
1.0917
1.2771
3.0564
5.5593
1.8081

22#
Correlation coefficient
0.9356
0
0.9305
0.9511
0.8722
0.8966
0.7134
0.4081
0.8497

Quantitative distance
0.5796
0
0.6255
0.4401
1.1502
0.9306
2.5794
5.3271
1.3527

33#
Correlation coefficient
0.9192
0.9305
0
0.9728
0.9617
0.9522
0.7519
0.4081
0.8497

Quantitative distance
0.7272
0.6255
0
0.2448
0.3447
0.4302
2.2329
5.3271
1.3527

44#
Correlation coefficient
0.9025
0.9511
0.9728
0
0.9344
0.9693
0.8038
0.3965
0.8732

Quantitative distance
0.8775
0.4401
0.2448
0
0.5904
0.2763
1.7658
5.4315
1.1412

55#
Correlation coefficient
0.8787
0.8722
0.9617
0.9344
0
0.9373
0.7431
0.3517
0.814

Quantitative distance
1.0917
1.1502
0.3447
0.5904
0
0.5643
2.3121
5.8347
1.674

66#
Correlation coefficient
0.8581
0.8966
0.9522
0.9693
0.9373
0
0.8545
0.4023
0.8646

Quantitative distance
1.2771
0.9306
0.4302
0.2763
0.5643
0
1.3095
5.3793
1.2186

77#
Correlation coefficient
0.6604
0.7134
0.7519
0.8038
0.7431
0.8545
0
0.4667
0.7488

Quantitative distance
3.0564
2.5794
2.2329
1.7658
2.3121
1.3095
0
4.7997
2.2608

88#
Correlation coefficient
0.3823
0.4081
0.4081
0.3965
0.3517
0.4023
0.4667
0
0.4821

Quantitative distance
5.5593
5.3271
5.3271
5.4315
5.8347
5.3793
4.7997
0
4.6611

99#
Correlation coefficient
0.7991
0.8497
0.8497
0.8732
0.814
0.8646
0.7488
0.4821
0

Quantitative distance
1.8081
1.3527
1.3527
1.1412
1.674
1.2186
2.2608
4.6611
0

In one embodiment, FIG. 8 is a schematic diagram of a quantitative relative distance between different indoor units.

In one embodiment, the relative position information can be expressed in the form of Table 8.

TABLE 8

x
y

1#
0
0

2#
0
0.5796

3#
0.601637
0.408476

4#
0.388183
0.786969

5#
1.077311
0.176661

6#
0.853836
0.949709

7#
1.592272
2.608879

8#
4.980227
2.470463

9#
0.961043
1.531543

In Table 8, x and y denote coordinates on coordinate axes perpendicular to each other respectively.

As shown in FIG. 9, the relative position information of indoor units can be obtained based on Table 8.

In one embodiment, FIG. 10 is one schematic diagram of the relative position information.

In one embodiment, the relative position information is a topological graph.

In one embodiment, FIG. 11 is one form of a topological graph.

In one embodiment, FIG. 12 is a schematic diagram of an expression form of a preset quantitative relation.

In one embodiment, the process further includes: a return air temperature difference sequence of each indoor unit is acquired; an evaluation index is determined based on a mean and a variance of return air temperature difference sequences between every two indoor units; and a preset number of indoor units around each indoor unit are determined based on the evaluation index.

In an embodiment, for an indoor environment, the closer the distance between two indoor units having the same running condition is, the more obvious the mutual influence degree of return air states of the two indoor units is, the more consistent the overall return air temperature fluctuation curves are, and the smaller the mean of the return air temperature difference sequence is. However, considering that there may be an apparatus running in an independent space, a return air temperature curve of the apparatus may be similar with that of any indoor unit in the same running state. A mean of the return air temperature difference sequence obtained in this case is very small and cannot be used for determination. However, in this case, because of a low actual correlation and a low consistency of the temperature change trend, the return air temperature difference sequence will fluctuate greatly. Therefore, the variance of the return air temperature difference sequences is calculated additionally, and a large variance of the return air temperature difference sequence will be obtained in this case.

The mean and the variance (square_d) of the return air temperature difference sequence of each indoor unit are calculated to construct an evaluation index ms=abs(mean×square_d); the index is configured to measure a real distance between two of all the apparatuses; and therefore, more accurate position distribution of each indoor unit can be obtained based on classification results. In the equation, abs denotes an absolute value.

In one embodiment, a mean and a variance of return air temperature differences between the indoor units are calculated based on collected data, and data shown in Table 9 are obtained as the evaluation index. Based on the data in Table 9, x indoor units having the most similar evaluation indexes with each indoor unit are searched for to obtain an adjacent indoor unit group having x indoor units of each indoor unit.

TABLE 9

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

In some embodiment, if x is set to 3, Table 10 can be obtained.

TABLE 10

Indoor unit No.
Adjacent indoor unit No.

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#]

Based on Table 10, the distribution condition of indoor units can be obtained. The position distribution condition of different indoor units can be obtained based on the above distribution condition.

In one embodiment, the relative position information can be corrected based on the position distribution condition of different indoor units obtained based on Table 10. Therefore, the reliability of the obtained relative position information can be improved, and the control accuracy of different indoor units based on the relative position information can be improved accordingly.

In any of the above embodiments, the evaluation index is the absolute value of a product of the mean and the variance of the return air temperature difference sequences.

In one embodiment, before the step that return air temperature information of each indoor unit is acquired, the process further includes: indoor units are controlled to run in a refrigeration mode, a heating mode, or a dehumidification mode; and in one embodiment, one of indoor units is controlled to run in a refrigeration mode, a heating mode, or a dehumidification mode, and the others of indoor units are controlled to run in an air supply mode.

In this embodiment, the relative position information of different indoor units can be rapidly determined by defining running states of indoor units.

In one embodiment, before the step that return air temperature information of each indoor unit is acquired, indoor units can further be controlled to run in a target running mode in sequence, and the other indoor units can be controlled to run in the air supply mode. The target running mode can be any one of the heating mode, the refrigeration mode, and the dehumidification mode.

In one embodiment, the method further includes: absolute position information of any one of the indoor units is acquired, and actual position information is determined based on the absolute position information and the relative position information.

In one embodiment of the present disclosure, as shown in FIG. 13, the present disclosure provides a device 600 for position determination. The device is configured for indoor units and includes: an acquisition device 602 configured to acquire return air temperature information of each indoor unit; a determination device 604 configured to determine a first correlation coefficient between every two indoor units based on the return air temperature information; a classification device 606 configured to classify indoor units based on the first correlation coefficient and to obtain a number of classified groups; and a generation device 608 configured to generate relative position information in each classified group based on the first correlation coefficient by taking any one of the indoor units as a locating point.

A device 600 for position determination is provided based on the embodiment of the present disclosure. By applying the device 600 for position determination to indoor units, relative positions of indoor units can be measured. In this process, maintenance personnel are not required to manually maintain a relative position relation of indoor units. Therefore, the maintenance difficulty of the relative position relation of indoor units is reduced, and a time cost and a labor cost required for maintenance are reduced accordingly. In one embodiment, the relative position information determined through the above device for position determination of the present disclosure is acquired based on a measurement result, and is therefore more reliable.

After a distance between every two indoor units is determined, whether indoor units can be divided into the same classified group can be determined based on this distance.

In one embodiment, it can be understood that the return air temperature information is temperature information at a return air inlet of the indoor unit.

In one embodiment, a temperature sensor can be arranged at the return air inlet of the indoor unit to acquire the temperature information at the return air inlet.

In one embodiment, the present disclosure provides an air conditioning system. The air conditioning system includes: indoor units; and a control device, where the control device communicates with the indoor units and is configured to execute steps of the method for position determination in any one of the above embodiments.

An air conditioning system is provided in this embodiment of the present disclosure. The air conditioning system includes the control device and indoor units. The control device executes the steps of any one of the above methods for position determination. Therefore, the air conditioning system has all the beneficial effects of any one of the above methods for position determination.

In some embodiment, relative positions of indoor units can be measured. In this process, maintenance personnel are not required to manually maintain a relative position relation of indoor units. Therefore, the maintenance difficulty of the relative position relation of indoor units is reduced, and a time cost and a labor cost required for maintenance are reduced accordingly. In one embodiment, the relative position information determined through the above method for position determination of the present disclosure is acquired based on a measurement result, and is therefore more reliable. Other effects will not be repeated herein.

In one embodiment, the air conditioning system further includes: an outdoor unit, where the outdoor unit is connected to the indoor unit.

In this embodiment, a refrigerant interaction is performed between the outdoor unit and the indoor unit to exchange heat.

In one embodiment, a readable storage medium is provided. The readable storage medium stores a program or an instruction, where the program or the instruction implements steps of any one of the above methods for position determination when executed by a processor.

The program or the instruction stored on the readable storage medium provided by the present disclosure can implement the steps of any one of the above methods for position determination when executed. Therefore, the readable storage medium has all the beneficial effects of any one of the above methods for position determination, which will not be repeated herein.

In the description of the present disclosure, the term “a plurality of” means two or more; unless expressly defined otherwise, the orientation or position relations indicated by the terms “upper”, “lower”, etc. are based on the orientation or position relations shown in the accompanying drawings, merely for facilitating the description of the present disclosure and simplifying the description, rather than indicating or implying that the device or element referred to must have a particular orientation or be constructed and operated in a particular orientation, and therefore cannot be interpreted as limiting the present disclosure; and the terms “connection”, “mounting”, “fixed”, etc. should be understood in a broad sense. In some embodiment, a “connection” can be a fixed connection, a detachable connection, an integrated connection, a direct connection, or an indirect connection via an intermediate medium. The specific meanings of the above terms in the present disclosure can be understood based on specific circumstances.

In the description of the present disclosure, the description with reference to the terms “one embodiment”, “some embodiments”, “a specific embodiment”, etc. means that a specific feature, structure, material, or characteristic described in connection with this embodiment or instance is encompassed in at least one embodiment or instance of the present disclosure. In the present disclosure, the schematic expressions of the above terms do not refer to the same embodiment or instance necessarily. Moreover, the specific feature, structure, material, or characteristic described can be combined in any suitable way in one or more embodiments or instances.

POSITION DETERMINATION METHOD AND APPARATUS, AND AIR CONDITIONING SYSTEM AND READABLE STORAGE MEDIUM

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