WO2022267296A1 - Position determination method and apparatus, and air conditioning system and readable storage medium - Google Patents

Abstract

Provided in the present application are a position determination method and apparatus, and an air conditioning system and a readable storage medium. The position determination method comprises: acquiring return air temperature information of each indoor unit; determining, according to the return air temperature information, a first correlation coefficient between every two indoor units; classifying a plurality of indoor units according to the first correlation coefficient, so as to obtain a set number of classification groups; and in each classification group, generating relative position information by taking any indoor unit as a positioning point and according to the first correlation coefficient. Therefore, there is no need for maintenance personnel to manually maintain the relative position relationship among the plurality of indoor units, thereby reducing the maintenance difficulty of the relative position relationship among the plurality of indoor units, and facilitating reduction in time and labor costs required for maintenance.

Description

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

This application claims the priority of the Chinese patent application submitted to the China Patent Office on June 22, 2021 with the application number "202110690203.8" and the application name "position determination method, device, air conditioning system and readable storage medium", all of which The contents are incorporated by reference in this application.

technical field

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

Background technique

As shown in FIG. 1 , in an indoor installation environment where multiple indoor units are installed, linkage control will be performed on the multiple indoor units, and before linkage control, the relative positions of the indoor units need to be acquired.

Those skilled in the art find that, in the existing solution, the maintenance of the relative positions of the indoor units consumes a lot of time and energy, and the maintenance cost is relatively high, which cannot meet the maintenance requirements at the present stage.

application content

This application aims to solve at least one of the technical problems existing in the prior art or related art.

To this end, the first aspect of the present application is to provide a location determination method.

The second aspect of the present application is to provide a position determination device.

The third aspect of the present application is to provide an air conditioning system.

A fourth aspect of the present application is to provide a readable storage medium.

In view of this, according to the first aspect of the present application, the present application provides a location determination method, including: obtaining the return air temperature information of each indoor unit; The first correlation coefficient; classify multiple indoor units according to the first correlation coefficient to obtain a set number of classification groups; in each classification group, use any indoor unit as an anchor point and according to the first correlation coefficient, generate Relative location information.

The technical solution of this application proposes a method for determining the position. By running the method for determining the position, the detection of the relative position between multiple indoor units can be realized. Therefore, it reduces the difficulty of maintaining the relative positional relationship between multiple indoor units, which is conducive to reducing the time cost and labor cost required for maintenance. The determined relative position information is obtained based on the detection result, therefore, the obtained relative position information is more reliable.

The technical solution of the present application is realized based on the following principles. Specifically, different indoor units are installed in different positions, and there is a distance between different indoor units, and the distance will be different due to different installation positions. Due to the existence of this distance, the influence between different indoor units will be inconsistent. For example, one indoor unit is in the first sealed environment, and the other indoor unit is in the second sealed environment. The difference between the first sealed environment and the second sealed environment There is no heat transfer between indoor units, in this case, there is no influence between indoor units in different sealed environments. However, when there are multiple indoor units in a sealed environment, different indoor units may be affected.

The technical solution of the present application collects these influences, and utilizes the correlation between the influence and the distance between different indoor units to realize the estimation of relative position information between different indoor units.

Considering that the indoor unit is a device used to adjust the temperature in a sealed environment, the affected indoor units share a sealed environment, therefore, the above-mentioned influence can be extracted by collecting the return air temperature information of the indoor unit, specifically, Traverse to obtain the return air temperature information of multiple indoor units. If two indoor units are relatively close, the influence between the two indoor units will be serious, and the correlation coefficient between two indoor units determined according to the obtained return air temperature information will be greater, Therefore, the distance between different indoor units can be characterized according to the correlation coefficient.

After determining the distance between any two indoor units, it is possible to classify whether multiple indoor units belong to the same classification group according to the distance.

Among them, since the correlation coefficient between different indoor units can represent the distance between different indoor units, after the classification group is divided, any indoor unit in the divided classification group can be used as an anchor point to obtain the For the relative position relationship among other indoor units in the classification group, after traversing all the classification groups, the relative distribution of all indoor units can be obtained, that is, the relative position information in this application.

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 each fixed detection time interval is represented as a temperature sequence.

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

In one of the technical proposals, a temperature sensor may be provided at the return air outlet of the indoor unit, and the temperature sensor may be used to obtain temperature information at the position of the return air outlet.

In addition, the position determination method claimed in this application also has the following additional distinguishing technical features, specifically, including:

In the above technical solution, according to the return air temperature information, the first correlation coefficient between every two indoor units is determined, which specifically includes: determining the covariance of the corresponding return air temperature information between every two indoor units; determining each The variance value of the return air temperature information corresponding to the indoor unit; determine the first correlation coefficient according to the variance and covariance.

In this technical solution, the determination scheme of the first correlation coefficient is specifically defined, specifically, the calculation formula of the first correlation coefficient is as follows:

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

In any of the above technical solutions, classify multiple indoor units 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; Indoor units of one type are used 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 plurality of indoor units are respectively determined, and the second correlation coefficient with the largest second correlation coefficient Two indoor units are classified into one category until 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; according to the second correlation coefficient and the correlation coefficient threshold A plurality of indoor units are divided to obtain a set number of classification groups.

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 the multiple indoor units, the obtained second Arrange the size of the first correlation coefficient, and then determine the two indoor units with the largest correlation coefficient. From the above, the first correlation coefficient can be used to represent the distance between different indoor units. Therefore, the corresponding indoor unit with the largest first correlation coefficient Between two indoor units are the two closest indoor units.

After determining the two closest indoor units, it is judged whether other indoor units have been classified. If the number of the last classification group is only one, if the judgment result is yes, the multiple indoor units are arranged according to the first correlation coefficient.

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

In this process, through the above scheme, the classification processing of unclassified indoor units is realized, the rationality of classification and division of multiple indoor units to obtain classification groups is improved, and the accuracy of relative position information of multiple indoor units is ensured. .

In any technical solution, it also includes: obtaining space partition information for installing multiple indoor units; and determining the set number of classification groups according to the space partition information.

In this technical solution, since the set quantity is determined according to the obtained space partition information, the set quantity can be reasonably set according to the space where the indoor unit is installed. The reasonable influence on the selection of the preset threshold ensures the accuracy of the relative position information of multiple indoor units, and ultimately reduces the difficulty of maintaining relative position information for maintenance personnel, such as reducing manpower operating costs and time costs.

In any of the above technical solutions, the space partition information may be determined according to the information collected by the installer when installing multiple indoor units.

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

In any of the above technical solutions, using any indoor unit as a positioning point and generating relative position information according to the first correlation coefficient specifically includes: determining the quantization value corresponding to the first correlation coefficient according to the preset quantization relationship; , the positioning point, and obtain the coordinate information of the indoor units except any indoor unit; generate relative position information according to the positioning point and the coordinate information.

In this technical solution, the generation method of relative position information is specifically limited. Specifically, based on the above, the size of the correlation coefficient has a correlation with the distance between different indoor units. Therefore, the correlation coefficient and the distance between different indoor units can be constructed in advance. The mapping relationship between the distance values between different indoor units, so that after obtaining the correlation coefficient, the distance value between different indoor units can be determined according to the mapping relationship.

Specifically, in this application, the preset quantitative relationship is the mapping relationship between the correlation coefficient and the distance values between different indoor units. Therefore, after determining the quantitative value, the positioning of any indoor unit in the classification group can be The coordinate information corresponding to the indoor unit corresponding to the quantitative value is determined by using the point and the quantized value, so as to know the relative positional relationship between any indoor unit and other indoor units according to the positioning point and coordinate information.

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

In any of the above technical solutions, in the preset quantization relationship, the correlation coefficient and the quantization value are negatively correlated.

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

In this technical solution, the expression form of the relative position information is specifically defined, and the relative position information is displayed in the form of a topology map by limiting the relative position information, so that the user can know and intuitively perceive the position distribution among different indoor units. Therefore, it can be compared Directly control different indoor units to ensure the control effect.

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

In this technical solution, the relative position information between different indoor units can be quickly determined by limiting the operating states of a plurality of indoor units.

Specifically, multiple indoor units can be controlled to operate in cooling mode, heating mode, or wet mode at the same time, so that multiple indoor units can simultaneously adjust the temperature of the environment in which the indoor units are located, so as to achieve In the case of rapid cooling, heating or dehumidification, the relative position information between different indoor units can be determined.

In one of the technical solutions, before obtaining the return air temperature information of each indoor unit, it is also possible to control each of the multiple indoor units to operate in the target operation mode in turn, while other indoor units operate in the air supply mode, Wherein, the target operation mode may be any one of heating mode, cooling mode and dehumidification mode.

In any of the above technical solutions, it further includes: obtaining the absolute position information of any indoor unit, and determining the actual position information according to the absolute position information and the relative position information.

In this technical solution, after the relative position information of multiple indoor units is obtained, the process of converting the relative position information into actual position information is specifically defined. Specifically, by obtaining the absolute position information of any indoor unit, in order to The absolute position information can determine the actual position information. In the process, by converting it, the user can more intuitively determine the positions of different indoor units and the distribution among different indoor units, so that they can be used to Control different indoor units.

In any of the above technical solutions, it also includes: obtaining the return air temperature difference sequence of each indoor unit; determining the evaluation index according to the average value and variance of the return air temperature difference sequence between every two indoor units; The indicator determines the preset number of indoor units around each indoor unit.

In one of the technical solutions, based on the obtained position distribution among different indoor units, the relative position information can be corrected, so as to improve the reliability of the obtained relative position information, and further improve the control of different indoor units according to the relative position information. accuracy.

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.

According to the second aspect of the present application, the present application provides a device for determining a position, which is used for multiple indoor units, including: an acquisition module, used to acquire return air temperature information of each indoor unit; a determination module, used to The return air temperature information is used to determine the first correlation coefficient between every two indoor units; the classification module is used to classify multiple indoor units according to the first correlation coefficient and the preset threshold to obtain a set number of classification groups; generate A module, configured to generate relative position information in each classification group, using the first indoor unit as an anchor point and according to the first correlation coefficient.

The technical solution of the present application proposes a position determination device. Multiple indoor units using the position determination device can realize the detection of the relative positions between multiple indoor units. Therefore, it reduces the maintenance difficulty of the relative positional relationship between a plurality of indoor units, which is beneficial to reduce the time cost and labor cost required for maintenance. The relative position information determined by the position determining method is obtained based on the detection result, therefore, the obtained relative position information is more reliable.

The technical solution of the present application is realized based on the following principles. Specifically, different indoor units are installed in different positions, and there is a distance between different indoor units, and the distance will be different due to different installation positions. Due to the existence of this distance, the influence between different indoor units will be inconsistent. For example, one indoor unit is in the first sealed environment, and the other indoor unit is in the second sealed environment. The difference between the first sealed environment and the second sealed environment There is no heat transfer between indoor units, in this case, there is no influence between indoor units in different sealed environments. However, when there are multiple indoor units in a sealed environment, different indoor units may be affected.

The technical solution of the present application collects these influences, and utilizes the correlation between the influence and the distance between different indoor units to realize the estimation of relative position information between different indoor units.

Considering that the indoor unit is a device used to adjust the temperature in a sealed environment, the affected indoor units share a sealed environment, therefore, the above-mentioned influence can be extracted by collecting the return air temperature information of the indoor unit, specifically, Traverse to obtain the return air temperature information of multiple indoor units. If two indoor units are relatively close, the influence between the two indoor units will be serious, and the correlation coefficient between two indoor units determined according to the obtained return air temperature information will be greater, Therefore, the distance between different indoor units can be characterized according to the correlation coefficient.

After determining the distance between any two indoor units, it is possible to classify whether multiple indoor units belong to the same classification group according to the distance.

Among them, since the correlation coefficient between different indoor units can represent the distance between different indoor units, after the classification group is divided, any indoor unit in the divided classification group can be used as an anchor point to obtain the For the relative position relationship among other indoor units in the classification group, after traversing all the classification groups, the relative distribution of all indoor units can be obtained, that is, the relative position information in this application.

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 a fixed detection time interval is represented as a temperature sequence.

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

In one of the technical proposals, a temperature sensor may be provided at the return air outlet of the indoor unit, and the temperature sensor may be used to obtain temperature information at the position of the return air outlet.

In one of the technical solutions, the determination module is specifically used to determine the covariance of the corresponding return air temperature information between every two indoor units; determine the variance value of the return air temperature information corresponding to each indoor unit; according to the variance and covariance The variance determines the first correlation coefficient.

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

In one of the technical proposals, 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 according to the space partition information.

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

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

In one technical solution, the relative position information is a topological map.

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 control one of the multiple indoor units to operate in cooling mode, heating mode or dehumidification mode, Other indoor units among the plurality of indoor units operate in the blowing mode.

In one of the technical proposals, the generation module is also used to obtain the absolute position information of any indoor unit, and determine the actual position information according to the absolute position information and the relative position information.

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 according to the average value and variance of the return air temperature difference sequence between every two indoor units; The evaluation index determines the preset number of indoor units around each indoor unit.

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

According to the third aspect of the present application, the technical solution of the present application proposes an air conditioning system, including: multiple indoor units; a control device, the control device communicates with the multiple indoor units, and is used to perform any The steps in the item's location determination method.

The technical solution 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 the position determination method in any one of the first aspects, therefore, the air-conditioning system has any of the above-mentioned All the beneficial technical effects of the method for determining a position will not be repeated here.

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

According to a fourth aspect of the present application, 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 any one of the method for determining a location in the first aspect are implemented.

Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.

Description of drawings

The above and/or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, wherein:

Fig. 1 shows the distribution of multiple indoor units in the indoor installation environment in the related technical solution;

FIG. 2 shows a schematic flowchart of a method for determining a position according to an embodiment of the present application;

FIG. 3 shows a schematic flowchart of a solution for determining a first correlation coefficient according to an embodiment of the present application;

FIG. 4 shows a schematic flow chart of a determination process of a set number of classification groups according to an embodiment of the present application;

Fig. 5 shows a schematic diagram of an actual usage scenario in an embodiment of the present application;

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

Fig. 7 shows a schematic flow chart of generating relative position information according to an embodiment of the present application;

Fig. 8 shows a schematic diagram of relative distance quantization values between different indoor units according to an embodiment of the present application;

Fig. 9 shows a schematic diagram of relative position information among multiple indoor units according to an embodiment of the present application;

Fig. 10 shows a schematic diagram of the form of relative position information according to an embodiment of the present application;

FIG. 11 shows one of the forms of a topology diagram according to an embodiment of the present application;

Fig. 12 shows a schematic diagram of a representation form of a preset quantitative relationship according to an embodiment of the present application;

Fig. 13 shows a schematic block diagram of location determination according to an embodiment of the present application.

detailed description

In order to understand the above aspects, features and advantages of the present application more clearly, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

In the following description, many specific details are set forth in order to fully understand the application, but the application can also be implemented in other ways different from those described here, therefore, the protection scope of the application is not limited by the specific details disclosed below. EXAMPLE LIMITATIONS.

Embodiment one

As shown in Figure 2, according to an embodiment of the present application, the present application provides a method for determining a location, including:

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

Step 104, according to the collected return air temperature information, calculate the first correlation coefficient of two indoor units;

Step 106, using the first correlation coefficient as a reference to classify multiple indoor units to obtain a set number of classification groups;

Step 108, in each classification group, select an indoor unit as a positioning point, and use the calculated first correlation coefficient as a reference to generate relative position information.

The embodiment of the present application proposes a method for determining the position. By running the method for determining the position, the detection of the relative position between multiple indoor units can be realized. Therefore, it reduces the difficulty of maintaining the relative positional relationship between multiple indoor units, which is conducive to reducing the time cost and labor cost required for maintenance. The determined relative position information is obtained based on the detection result, therefore, the obtained relative position information is more reliable.

The embodiments of the present application are realized based on the following principles. Specifically, different indoor units are installed in different positions, and there is a distance between different indoor units, and the distance will be different due to different installation positions. Due to the existence of this distance, the influence between different indoor units will be inconsistent. For example, one indoor unit is in the first sealed environment, and the other indoor unit is in the second sealed environment. The difference between the first sealed environment and the second sealed environment There is no heat transfer between indoor units, in this case, there is no influence between indoor units in different sealed environments. However, when there are multiple indoor units in a sealed environment, different indoor units may be affected.

The embodiment of the present application collects these influences, and uses the correlation between the influence and the distance between different indoor units to realize the estimation of the relative position information between different indoor units.

Considering that the indoor unit is a device used to adjust the temperature in a sealed environment, the affected indoor units share a sealed environment, therefore, the above-mentioned influence can be extracted by collecting the return air temperature information of the indoor unit, specifically, Traverse to obtain the return air temperature information of multiple indoor units. If two indoor units are relatively close, the influence between the two indoor units will be serious, and the correlation coefficient between two indoor units determined according to the obtained return air temperature information will be greater, Therefore, the distance between different indoor units can be characterized according to the correlation coefficient.

After determining the distance between any two indoor units, it is possible to classify whether multiple indoor units belong to the same classification group according to the distance.

Among them, since the correlation coefficient between different indoor units can represent the distance between different indoor units, after the classification group is divided, any indoor unit in the divided classification group can be used as an anchor point to obtain the For the relative position relationship among other indoor units in the classification group, after traversing all the classification groups, the relative distribution of all indoor units can be obtained, that is, the relative position information in this application.

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 represented as a temperature sequence.

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

In one of the embodiments, a temperature sensor may be provided at the return air outlet of the indoor unit, and the temperature sensor may be used to obtain temperature information at the position of the return air outlet.

Embodiment two

In this embodiment, the determination scheme of the first correlation coefficient is specifically defined, specifically, as shown in FIG. 3 , including:

Step 202, select two indoor units from a plurality of indoor units, and calculate the covariance of the return air temperature information corresponding to the selected indoor units;

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

Step 206, by calculating the variance and covariance, the first correlation coefficient between the selected indoor units is obtained.

In this embodiment, the determination scheme of the first correlation coefficient is specifically defined, specifically, the calculation formula of the first correlation coefficient is as follows:

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

Embodiment three

In this embodiment, the determination process of a set number of classification groups is specifically defined, specifically, as shown in Figure 4, including:

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

Step 304: Based on the fact that multiple indoor units are not classified into one category, the indoor unit classified into one category is used as the first indoor unit, and the first indoor unit and the number of indoor units other than the first indoor unit among the multiple indoor units are respectively determined. The second correlation coefficient among the remaining outdoor units, sort the second correlation coefficients, select the two indoor units corresponding to the largest second correlation coefficients, and divide them into one category until all indoor units are classified into one category. kind;

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

Step 308, classify and divide the plurality of indoor units according to the second correlation coefficient and the correlation coefficient threshold to obtain a set number of classification groups.

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 the multiple indoor units, the obtained second Arrange the size of the first correlation coefficient, and then determine the two indoor units with the largest correlation coefficient. From the above, the first correlation coefficient can be used to represent the distance between different indoor units. Therefore, the corresponding indoor unit with the largest first correlation coefficient Between two indoor units are the two closest indoor units.

After determining the two closest indoor units, it is judged whether other indoor units have been classified. If the number of the last classification group is only one, if the judgment result is yes, the multiple indoor units are arranged according to the first correlation coefficient.

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

Considering that the number of indoor units is more than two, it can be three or more, that is, after dividing the two indoor units corresponding to the largest first correlation coefficient after the arrangement into one category, there are still some indoor units Unclassified, in this case, take the indoor units that have been classified into one category as a whole, that is, the first indoor unit in this application, and determine the difference between the first indoor unit and the unclassified indoor units The second correlation coefficient, so as to use the second correlation coefficient to aggregate multiple indoor units, and finally realize the aggregation of multiple indoor units into one category.

Specifically, for example, as shown in Figure 5, there are 9 internal units, which can be divided into 4 areas from the perspective of building plan division: office area, meeting area 1, meeting area 2, and corridor area.

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, where indoor unit 1 is represented by 1# , indoor unit two is indicated by 2#, indoor unit three is indicated by 3#, indoor unit four is indicated by 4#, indoor unit five is indicated by 5#, indoor unit six is indicated by 6#, indoor unit seven is indicated by 7#, indoor Unit 8 is represented by 8#, indoor unit 9 is represented by 9#, and the calculation results of the first correlation coefficient between multiple indoor units are shown in Table 1.

Table 1

Based on Table 1, it can be seen that the two indoor units corresponding to the largest in the first correlation coefficient are 3# and 4#, therefore, 3# and 4# are classified into one category, and 3# and 4# are regarded as an indoor unit, and other The indoor unit calculates the second correlation coefficient, and Table 2 is obtained.

Table 2

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

table 3

the	the	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

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.

Table 4

the	the	1#	2#		Type 1	7#	8#	9#
the	the	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
the	maximum value	0.9356	0.9356	0.89545	0.816175	0.4821	0.863025

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.

table 5

the	the	Type 2	Type 1	7#	8#	9#
the	the	correlation coefficient	correlation coefficient	correlation coefficient	correlation coefficient	correlation coefficient
Type 2	correlation coefficient	0	0.9015875	0.6869	0.3952	0.8244
Type 1	correlation coefficient	0.901588	0	0.816175	0.4023	0.863025
7#	correlation coefficient	0.6869	0.7796375	0	0.4667	0.7488
8#	correlation coefficient	0.3952	0.377	0.4667	0	0.4821
9#	correlation coefficient	0.8244	0.8385125	0.7488	0.4821	0
the	maximum value	0.901588	0.9015875	0.816175	0.4821	0.863025

Repeat the above steps to get Table 6.

Table 6

the	the	Type 1	7#	8#	9#
the	the	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
the	maximum value	0.831456	0.7488	0.4821	0.83145625

In one of the embodiments, the second correlation coefficient may be an average value of the first correlation coefficient between the indoor units classified into one category and the first indoor unit.

Specifically, as shown in FIG. 6 , the correlation coefficient threshold is also the correlation coefficient setting value. Based on the above table, it can be known that the correlation coefficient threshold is selected between 0.8314 and 0.9016.

In one of the embodiments, the correlation coefficient threshold is set for the second correlation coefficient according to the 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 the set A certain number of classification groups.

In this process, through the above scheme, the classification processing of unclassified indoor units is realized, the rationality of classification and division of multiple indoor units to obtain classification groups is improved, and the accuracy of relative position information of multiple indoor units is ensured. .

In one of the embodiments, it also includes: acquiring information on space divisions where multiple indoor units are installed; and determining the set number according to the information on space divisions.

In this embodiment, since the set quantity is determined according to the obtained space partition information, the set quantity can be reasonably set according to the space where the indoor unit is installed. The reasonable influence on the selection of the preset threshold ensures the accuracy of the relative position information of multiple indoor units, and ultimately reduces the difficulty of maintaining relative position information for maintenance personnel, such as reducing manpower operating costs and time costs.

In any of the above embodiments, the space partition information may be determined according to the information collected by the installer when installing multiple indoor units.

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

Embodiment Four

In this embodiment, the specific process of generating relative position information is specifically defined, as shown in FIG. 7 , specifically including:

Step 502, acquiring a preset quantization relationship, so as to determine a quantization value corresponding to the first correlation coefficient according to the preset quantization relationship;

Step 504, in the classification group, according to the quantitative value and the positioning point, obtain the coordinate information of the indoor units except any selected indoor unit;

Step 506, generating relative position information according to the positioning point and coordinate information.

In this embodiment, the method of generating relative position information is specifically limited. Specifically, based on the above, the size of the correlation coefficient has a correlation with the distance between different indoor units. Therefore, the correlation coefficient and the distance between different indoor units can be constructed in advance. The mapping relationship between the distance values between different indoor units, so that after obtaining the correlation coefficient, the distance value between different indoor units can be determined according to the mapping relationship.

Specifically, in this application, the preset quantitative relationship is the mapping relationship between the correlation coefficient and the distance values between different indoor units. Therefore, after determining the quantitative value, the positioning of any indoor unit in the classification group can be The coordinate information corresponding to the indoor unit corresponding to the quantitative value is determined by using the point and the quantized value, so as to know the relative positional relationship between any indoor unit and other indoor units according to the positioning point and coordinate information.

In one of the embodiments, the positioning point can be understood as the coordinate origin.

In one of the embodiments, in the preset quantization relationship, the correlation coefficient is negatively correlated with the quantization value.

In one of the embodiments, the corresponding relationship between the correlation coefficient and the quantization value is shown in Table 7.

Table 7

In one of the embodiments, as shown in FIG. 8 , a schematic diagram of relative distance quantization values between different indoor units.

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

Table 8

Here, x and y represent coordinates on coordinate axes perpendicular to each other.

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

In one of the embodiments, FIG. 10 shows one of the schematic diagrams of the form of relative position information.

In one of the embodiments, the relative position information is a topological map.

In this embodiment, the expression form of the relative position information is specifically defined, and the relative position information is displayed in the form of a topological map by limiting the relative position information, so that the user can know and intuitively perceive the position distribution among different indoor units. Therefore, it can be compared Directly control different indoor units to ensure the control effect.

In one of the embodiments, FIG. 11 shows one of the forms of the topology diagram.

In one of the embodiments, FIG. 12 shows a schematic diagram of a representation form of a preset quantization relationship.

In one of the embodiments, it also includes: obtaining the return air temperature difference sequence of each indoor unit; determining the evaluation index according to the average value and variance of the return air temperature difference sequence between every two indoor units; according to the evaluation index Determine the preset number of indoor units around each indoor unit.

Specifically, for indoor environments, the closer the distance between two indoor units with the same operating conditions, the more obvious the degree of mutual influence between the return air states, the overall fluctuation of return air temperature will tend to the same curve, and the return air temperature difference The mean of the sequence is smaller. However, considering that there may be operating equipment in an independent space, the curve of the return air temperature may be similar to any indoor unit in the same operating state. In this case, the average value of the return air temperature difference is very small and no judgmental meaning. However, in this case, the fluctuation of the return air temperature difference sequence will be large, because their actual correlation is low, and the consistency of the temperature change trend is low, so the calculation of the variance of the return air temperature difference sequence is increased. In this case The lower return air temperature sequence will have a larger variance.

By calculating the average 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, and this index is used to measure the real distance between each device to achieve classification Based on the results, a more accurate position distribution among the internal units is obtained.

In one of the embodiments, on the basis of the collected data, the average value and the variance of the return air temperature difference among the internal units are calculated, and the data shown in Table 9 are obtained as the evaluation index. On the basis of the data in Table 9, search for the x units with the most similar evaluation indicators of each internal unit, and obtain the adjacent internal unit group with the number of each internal unit being x.

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

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

Table 10

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#]

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

In one of the embodiments, based on the position distribution among different indoor units obtained in Table 10, the relative position information can be corrected so as to improve the reliability of the obtained relative position information, and further improve the relative position information for different indoor units. accuracy of the controls.

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.

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 cool mode, heating mode, or dehumidification mode, and other indoor units among multiple indoor units operate in fan mode.

In this embodiment, the relative position information among different indoor units can be quickly determined by limiting the operating states of multiple indoor units.

Specifically, multiple indoor units can be controlled to operate in cooling mode, heating mode, or wet mode at the same time, so that multiple indoor units can simultaneously adjust the temperature of the environment in which the indoor units are located, so as to achieve In the case of rapid cooling, heating or dehumidification, the relative position information between different indoor units can be determined.

In one of the embodiments, before obtaining the return air temperature information of each indoor unit, it is also possible to control each of the multiple indoor units to operate in the target operation mode in turn, while other indoor units operate in the air supply mode, Wherein, the target operation mode may be any one of heating mode, cooling mode and dehumidification mode.

Embodiment five

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

In this embodiment, after the relative position information of a plurality of indoor units is acquired, the process of converting the relative position information into actual position information is specifically defined, specifically, by acquiring the absolute position information of any indoor unit, so as to The absolute position information can determine the actual position information. In the process, by converting it, the user can more intuitively determine the positions of different indoor units and the distribution among different indoor units, so that they can be used to Control different indoor units.

Embodiment six

According to an embodiment of the present application, as shown in FIG. 13 , the present application provides a position determination device 600 for multiple indoor units, including: an acquisition module 602, configured to acquire the return air temperature of each indoor unit information; a determination module 604, used to determine the first correlation coefficient between every two indoor units according to 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 , to obtain a set number of classification groups; the generating module 608 is configured to use the first indoor unit as an anchor point in each classification group and generate relative position information according to the first correlation coefficient.

The embodiment of the present application proposes a position determination device 600, which can be used to detect the relative positions of multiple indoor units by using the position determination device 600. In this process, maintenance personnel do not need to manually The relative positional relationship between multiple indoor units is maintained, therefore, the difficulty of maintaining the relative positional relationship between multiple indoor units is reduced, which is conducive to reducing the time cost and labor cost required for maintenance. At the same time, the application The relative position information determined by the above position determination method is obtained based on the detection results, therefore, the obtained relative position information is more reliable.

The embodiments of the present application are implemented based on the following principles. Specifically, different indoor units are installed in different positions, and there is a distance between different indoor units, and the distance will be different due to different installation positions. Due to the existence of this distance, the influence between different indoor units will be inconsistent. For example, one indoor unit is in the first sealed environment, and the other indoor unit is in the second sealed environment. The difference between the first sealed environment and the second sealed environment There is no heat transfer between indoor units, in this case, there is no influence between indoor units in different sealed environments. However, when there are multiple indoor units in a sealed environment, different indoor units may be affected.

The embodiment of the present application collects these influences, and uses the correlation between the influence and the distance between different indoor units to realize the estimation of the relative position information between different indoor units.

Considering that the indoor unit is a device used to adjust the temperature in a sealed environment, the affected indoor units share a sealed environment, therefore, the above-mentioned influence can be extracted by collecting the return air temperature information of the indoor unit, specifically, Traverse to obtain the return air temperature information of multiple indoor units. If two indoor units are relatively close, the influence between the two indoor units will be serious, and the correlation coefficient between two indoor units determined according to the obtained return air temperature information will be greater, Therefore, the distance between different indoor units can be characterized according to the correlation coefficient.

After determining the distance between any two indoor units, it is possible to classify whether multiple indoor units belong to the same classification group according to the distance.

Among them, since the correlation coefficient between different indoor units can represent the distance between different indoor units, after the classification group is divided, any indoor unit in the divided classification group can be used as an anchor point to obtain the For the relative position relationship among other indoor units in the classification group, after traversing all the classification groups, the relative distribution of all indoor units can be obtained, that is, the relative position information in this application.

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 a fixed detection time interval is represented as a temperature sequence.

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

In one of the embodiments, a temperature sensor may be provided at the return air outlet of the indoor unit, and the temperature sensor may be used to obtain temperature information at the position of the return air outlet.

Embodiment seven

In one of the embodiments, the embodiment of the present application proposes an air conditioning system, including: a plurality of indoor units; a control device, the control device communicates with the plurality of indoor units, and is used to perform position determination as any one of the above method steps.

In this embodiment, the embodiment of the present application proposes an air-conditioning system, which includes a control device and a plurality of indoor units, wherein the control device executes the steps of any one of the position determination methods described above. Therefore, the air-conditioning system It has all the beneficial technical effects of any one of the location determination methods described above.

For example: the detection of the relative position between multiple indoor units can be realized. During this process, there is no need for maintenance personnel to manually maintain the relative position relationship between multiple indoor units. The maintenance difficulty of the relative positional relationship between them is beneficial to reduce the time cost and labor cost required for maintenance. At the same time, the relative position information determined by the above position determination method of the present application is obtained based on the detection results. Therefore, the The obtained relative position information is more reliable, and other technical effects will not be repeated here.

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

In this embodiment, the refrigerant is exchanged between the outdoor unit and the indoor unit to realize heat exchange.

Embodiment eight

In one of the embodiments, 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 any one of the methods for determining a position above are implemented.

When the programs or instructions stored on the readable storage medium proposed in this application are executed, the steps of any one of the above-mentioned position determination methods can be realized. Therefore, the readable storage medium has all the steps of any one of the above-mentioned position determination methods. Beneficial technical effects are not repeated here.

In the description of this application, the term "plurality" refers to two or more than two. Unless otherwise clearly defined, the orientation or positional relationship indicated by the terms "upper", "lower" and so on is based on the orientation shown in the accompanying drawings. Orientation or positional relationship is only for the convenience of describing the application 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, and therefore cannot be construed as limiting the application; The terms "connection", "installation" and "fixation" should be understood in a broad sense, for example, "connection" can be fixed connection, detachable connection, or integral connection; it can be directly connected or through an intermediate The medium is indirectly connected. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific situations.

In the description of the present application, descriptions of the terms "one embodiment", "some embodiments", "specific embodiments" and the like mean that specific features, structures, materials or characteristics described in connection with the embodiment or example are included in the present application In at least one embodiment or example of . In this application, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

The above are only preferred embodiments of the present application, and are not intended to limit the present application. For those skilled in the art, there may be various modifications and changes in the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this application shall be included within the protection scope of this application.

Claims (15)

1. A location determination method for a plurality of indoor units, including:

   Obtain 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;

   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, any one of the indoor units is used as a positioning point to generate relative position information according to the first correlation coefficient.
2. The position determining method according to claim 1, wherein said determining the first correlation coefficient between every two indoor units according to the return air temperature information specifically includes:

   determining the covariance of the corresponding return air temperature information between each two indoor units;

   determining the 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.
3. The method for determining a position according to claim 1, wherein said classifying a plurality of said indoor units according to said 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;

   An indoor unit classified into one category is used as a first indoor unit, and second correlations between the first indoor unit and the remaining outdoor units except the first indoor unit among the plurality of indoor units are respectively determined coefficient, classifying the two indoor units with the largest second correlation coefficient into one category until 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;

   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.
4. The location determination method according to claim 3, further comprising:

   Obtaining space partition information where multiple indoor units are installed;

   A set number of the classification groups is determined according to the space partition information.
5. The position determining method according to any one of claims 1 to 4, wherein, using any indoor unit as a positioning point and according to the first correlation coefficient, generating relative position information specifically includes:

   determining a quantization value corresponding to the first correlation coefficient according to a preset quantization relationship;

   Obtain coordinate information of indoor units other than any indoor unit according to the quantized value and the positioning point;

   Relative position information is generated according to the positioning point and the coordinate information.
6. The method for determining a position according to claim 5, wherein, in the preset quantization relationship, the correlation coefficient is negatively correlated with the quantization value.
7. The position determining method according to any one of claims 1 to 4, wherein the relative position information is a topological map.
8. The position determining method according to any one of claims 1 to 4, wherein, before acquiring the return air temperature information of each indoor unit, further comprising:

   controlling a plurality of said indoor units to operate in cooling mode, heating mode or dehumidification mode; or

   One of the plurality of indoor units is controlled to operate in cooling mode, heating mode or dehumidification mode, and the other indoor units in the plurality of indoor units are operated in air supply mode.
9. The position determination method according to any one of claims 1 to 4, further comprising:

   The absolute position information of any one of the indoor units is obtained, and the actual position information is determined according to the absolute position information and the relative position information.
10. The position determination method according to any one of claims 1 to 4, further comprising:

    Acquiring the return air temperature difference sequence of each indoor unit;

    Determine the evaluation index according to the average value and variance of the return air temperature difference sequence between each two indoor units;

    A preset number of indoor units around each indoor unit is determined according to the evaluation index.
11. The location determination method according to claim 10, wherein,

    The evaluation index is the absolute value of the product of the mean value and the variance of the return air temperature difference sequence.
12. A location determination device for a plurality of indoor units, including:

    An acquisition module, configured to acquire return air temperature information of each indoor unit;

    A determining module, configured to determine a first correlation coefficient between every two indoor units according to the return air temperature information;

    A classification module, configured to classify a plurality of indoor units according to the first correlation coefficient and a preset threshold to obtain a set number of classification groups;

    A generating module, configured to generate relative position information in each of the classification groups, using the first indoor unit as an anchor point and according to the first correlation coefficient.
13. An air conditioning system, comprising:

    Multiple indoor units;

    A control device, the control device communicates with a plurality of the indoor units, and is used to execute the steps of the position determining method according to any one of claims 1 to 11.
14. The air conditioning system according to claim 13, further comprising:

    An outdoor unit, wherein the outdoor unit is connected to the indoor unit.
15. A readable storage medium, on which programs or instructions are stored, wherein the steps of the position determination method according to any one of claims 1 to 11 are implemented when the program or instructions are executed by a processor.

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