Address matching method, air conditioning system and readable storage medium

Abstract

The present invention provides an address matching method, an air conditioning system and a readable storage medium. The address matching method comprises: determining first distribution information of the indoor unit corresponding to each virtual number according to the return air temperature information of the indoor unit; determining second distribution information of the indoor unit corresponding to each actual number according to the actual distribution information of multiple indoor units; determining the matching relationship between the virtual numbers and the actual numbers in the multiple indoor units according to the first distribution information and the second distribution information. By running the address matching method, the matching relationship between the actual numbers and the virtual numbers can be determined, so that when maintaining the multiple indoor units, the installer can install and debug the equipment according to the matching relationship, thereby reducing the difficulty of installing and maintaining the air conditioning system.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning, and in particular to an address matching method, an air conditioning system and a readable storage medium. Background Art

[0002] In the related technical solution, after the air-conditioning system with multiple indoor units is installed, the virtual address of the indoor unit needs to be set or allocated. At present, since the virtual address and the actual physical location cannot be automatically matched one by one, the installer needs to constantly confirm the correspondence between the indoor unit and the virtual address.

[0003] Technicians in this field have found that it takes a lot of manpower to make a one-to-one correspondence between the virtual address and the physical address of the indoor unit. At the same time, the accuracy of the correspondence cannot be guaranteed and errors are very likely to occur. Summary of the invention

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

[0005] To this end, a first aspect of the present invention is to provide an address matching method.

[0006] A second aspect of the present invention provides an air conditioning system.

[0007] A third aspect of the present invention provides a readable storage medium.

[0008] In view of this, according to a first aspect of the present invention, the present invention provides an address matching method for multiple indoor units, each indoor unit having a virtual number and an actual number, the address matching method comprising: determining first distribution information of the indoor unit corresponding to each virtual number based on the return air temperature information of the indoor unit; determining second distribution information of the indoor unit corresponding to each actual number based on the actual distribution information of the multiple indoor units; and determining the matching relationship between the virtual numbers and the actual numbers in the multiple indoor units based on the first distribution information and the second distribution information.

[0009] The technical solution of the present application proposes an address matching method. By running the address matching method, the matching relationship between the actual number and the virtual number can be determined, so that when maintaining multiple indoor units, this one-to-one relationship can be imported into the control system of the air-conditioning system, so that the personnel using the control system know which indoor unit is actually controlled. When a certain indoor unit fails, the actual position can be quickly located, and the impact of the failure can be quickly assessed to respond. Countermeasures. In summary, the automatic identification of the actual number and the virtual number of the indoor unit can greatly reduce the cost of establishing the air-conditioning system and effectively promote the process of intelligent air conditioning. Installers can install and debug the equipment according to the matching relationship, thereby reducing the difficulty of installing and maintaining the air-conditioning system.

[0010] The technical solution of the present application is implemented through the following solution. Specifically, each indoor unit is assigned a virtual number. It can be understood that the virtual number is a virtual address set for the indoor unit when the indoor unit is installed or maintained, so that when an air-conditioning system composed of multiple indoor units communicates, the virtual number is used to characterize the indoor unit.

[0011] During the actual installation and maintenance process, each indoor unit also has an actual number, which can be marked by the installer according to the installation locations of multiple indoor units. For example, the installer can mark multiple indoor units on the design drawings for installing multiple indoor units.

[0012] Specifically, the return air temperature information at the return air outlet of each indoor unit among the multiple indoor units is detected, so as to determine the first distribution information of each indoor unit based on the return air temperature information. Since the first distribution information is obtained by measuring the return air temperature, each indoor unit is represented by a virtual number. Therefore, the distribution information corresponding to the indoor unit represented by the virtual number can be obtained. The first distribution information can represent the distribution of each indoor unit among the multiple indoor units under the virtual number.

[0013] As recorded above, the installer will mark multiple indoor units on the design drawings for installing multiple indoor units, and the marked design drawings can be understood as the actual distribution information of the multiple indoor units, that is, the second distribution information. Since each indoor unit in the distribution information is expressed using the mark given by the installer, the distribution information can be understood as the distribution of the indoor units represented by each actual number.

[0014] By determining the matching relationship between the virtual number and the actual number in each of the multiple indoor units, the indoor units represented by the virtual numbers can be matched with the actual numbers. When installing or maintaining the multiple indoor units, the installers can install and debug the equipment according to the matching relationship, thereby reducing the difficulty of installing and maintaining the air-conditioning system.

[0015] In addition, the address matching method for which protection is sought in this application also has the following additional technical features, specifically including:

[0016] In the above technical solution, the second distribution information includes: a first distance value between the indoor unit and the enclosure structure, and actual numbers corresponding to the indoor units that are adjacent to the indoor unit.

[0017] In this technical solution, when determining the matching relationship between the virtual number and the actual number according to the first distribution information and the second distribution information, the distance value between the indoor unit and the enclosure structure can be combined. Since the first distance value is used to characterize the distance value between the indoor unit and the enclosure structure, the accuracy of the matching relationship between the virtual number and the actual number can be improved by limiting the second distribution information to include the first distance value.

[0018] In addition, by limiting the second distribution information to also include actual numbers corresponding to indoor units that have a neighboring relationship with the indoor units, the relative positions between the multiple indoor units can be determined, thereby improving the accuracy of the matching relationship between the virtual numbers and the actual numbers.

[0019] In any of the above technical solutions, the number of indoor units between each indoor unit and the enclosure structure is used as the first distance value.

[0020] In this technical solution, the definition method of the first distance value is specifically limited. The first distance value, that is, the number of indoor units between the indoor unit and the enclosing structure, is used as the distance between the indoor unit a and the enclosing structure. For example, if there are two indoor units between the indoor unit a and the enclosing structure, the distance is defined as 2. When there are enclosing structures in multiple directions, the minimum distance value in each direction is taken as the final distance value.

[0021] In the above process, the relative position relationship between different indoor units and enclosure structures is characterized by using the definition of the first distance value, so as to improve the accuracy of the matching relationship between the virtual number and the actual number.

[0022] In any technical solution, based on the existence of a common boundary between any two indoor units, it is determined that they have a neighboring relationship.

[0023] In this technical solution, a method for determining the neighboring relationship is specifically defined. Considering that in actual application, actual numbers are assigned to multiple indoor units and the units are divided into different areas after being numbered, it is possible to determine whether the numbered indoor units have a neighboring relationship by judging whether they have a common boundary.

[0024] By limiting the determination method of the neighboring relationship, the second distribution information can be accurately represented, thereby improving the accuracy of the matching relationship between the virtual number and the actual number.

[0025] In any of the above technical solutions, the first distribution information includes the relative position information between any two adjacent indoor units. The first distribution information of the indoor unit corresponding to each virtual number is determined according to the return air temperature information of each indoor unit, including: determining the first correlation coefficient between every two indoor units according to the return air temperature information; clustering multiple indoor units according to the first correlation coefficient to obtain a set number of clustering groups; in each clustering group, taking any indoor unit as a positioning point and generating relative position information according to the first correlation coefficient.

[0026] In this technical solution, the relative positions between multiple indoor units are detected. During this process, there is no need for maintenance personnel to manually maintain the relative position relationship between the multiple indoor units. Therefore, the difficulty of maintaining the relative position relationship between the multiple indoor units is reduced, which is beneficial to reducing the time cost and labor cost required for maintenance. At the same time, the relative position information determined by the above method of the present application is obtained based on the detection results. Therefore, the obtained relative position information is more reliable.

[0027] The technical solution of the present application is implemented based on the following principles. Specifically, different indoor units are installed at different locations, and there is a distance between different indoor units, and the distance will be different due to different installation locations. Due to the existence of this distance, the influence between different indoor units will be inconsistent. For example, if one indoor unit is in a first sealed environment and another indoor unit is in a second sealed environment, and there is no heat transfer between the first sealed environment and the second sealed environment, in this case, there is no influence between the indoor units in different sealed environments. However, when there are multiple indoor units in a sealed environment, there is an influence between different indoor units.

[0028] The technical solution of the present application is to collect these influences and utilize the correlation between the influences and the distances between different indoor units to estimate the relative position information between different indoor units.

[0029] Considering that the indoor unit is a device for adjusting the temperature in a sealed environment, and the indoor units with influence share a sealed environment, the above influence can be extracted by collecting the return air temperature information of the indoor unit. Specifically, the return air temperature information of multiple indoor units is traversed and obtained. If two indoor units are close to each other, the influence between the two indoor units will be serious. The correlation coefficient between two indoor units among the multiple indoor units determined by obtaining the return air temperature information will also be greater. Therefore, the distance between different indoor units can be characterized according to the correlation coefficient.

[0030] After determining the distance between two indoor units, multiple indoor units may be divided into the same cluster group based on the distance.

[0031] Among them, since the correlation coefficient between different indoor units can characterize the distance between different indoor units, after the cluster group division is completed, any indoor unit in the divided cluster group can be used as a positioning point to obtain the relative position relationship between other indoor units in the cluster group. After traversing all cluster groups, the relative distribution of all indoor units can be obtained, which is the relative position information in this application.

[0032] In any of the above technical solutions, the return air temperature information of the indoor unit may be a discrete temperature value, that is, the return air temperature information detected by the indoor unit at intervals of a fixed detection time is expressed in the form of a temperature sequence.

[0033] In one of the technical solutions, a temperature sensor may be provided at the return air outlet of the indoor unit, and the temperature information at the return air outlet may be acquired by using the temperature sensor.

[0034] In any of the above technical solutions, the first correlation coefficient between every two indoor units is determined based on the return air temperature information, specifically including: determining the covariance of the return air temperature information corresponding to every two indoor units; determining the variance value of the return air temperature information corresponding to each indoor unit; and determining the first correlation coefficient based on the variance and covariance.

[0035] In this technical solution, a determination scheme of the first correlation coefficient is specifically defined. Specifically, the calculation formula of the first correlation coefficient is as follows:

[0036]

[0037] Where X is one of every two indoor units, Y is the other of every two indoor units, cov(X,Y) is the covariance of the return air temperature information of X and Y, Var[X] is the variance of the return air temperature information of X, and Var[Y] is the variance of the return air temperature information of Y.

[0038] In any of the above technical solutions, multiple indoor units are clustered according to the first correlation coefficient to obtain a set number of cluster groups, including: classifying the two indoor units with the largest first correlation coefficient into one category; taking the indoor unit classified into one category as the first indoor unit, and respectively determining the second correlation coefficients between the first indoor unit and the remaining outdoor units among the multiple indoor units except the first indoor unit, and classifying the two indoor units with the largest second correlation coefficient into one category, until the multiple indoor units are classified into one category; setting a correlation coefficient threshold for the second correlation coefficient according to the set number of cluster groups; dividing the multiple indoor units according to the second correlation coefficient and the correlation coefficient threshold to obtain a set number of cluster groups.

[0039] In this technical solution, the distance between different indoor units can be characterized according to the first correlation coefficient. Therefore, after determining the first correlation coefficient between two indoor units among multiple indoor units, the obtained first correlation coefficients can be arranged in order, and then the two indoor units with the largest correlation coefficients can be determined. From the above, it can be seen that the first correlation coefficient can be used to characterize the distance between different indoor units. Therefore, the two indoor units corresponding to the largest first correlation coefficient are the two indoor units closest to each other.

[0040] After determining the two indoor units closest to each other, determine whether the other indoor units have been clustered. If the other indoor units have been clustered, determine whether the multiple indoor units have been clustered into one cluster group, that is, whether there is only one cluster group after clustering. If the judgment result is yes, arrange the multiple indoor units according to the first correlation coefficient.

[0041] In the above case, a set number is obtained. Since the set number is used to characterize how many cluster groups a plurality of indoor units are divided into, a correlation coefficient threshold can be set according to the set number, so that the indoor units in the cluster group can be divided according to the set correlation coefficient threshold, and finally a set number of cluster groups are obtained.

[0042] In this process, the above scheme realizes clustering processing of indoor units that have not been clustered, improves the rationality of clustering groups obtained by clustering multiple indoor units, and ensures the accuracy of relative position information of multiple indoor units.

[0043] In any technical solution, it also includes: obtaining space partition information where multiple indoor units are installed; and determining a set number of cluster groups based on the space partition information.

[0044] In this technical solution, since the set number is determined based on the acquired space partition information, the set number can be reasonably set according to the space where the indoor unit is installed. In this process, the impact of unreasonable setting of the set number on the selection of the preset threshold is reduced, ensuring the accuracy of the relative position information of multiple indoor units, and ultimately reducing the difficulty of maintenance personnel in maintaining the relative position information, such as reducing manpower operating costs and time costs.

[0045] In any of the above technical solutions, the space partition information can be determined based on information collected by the installer when installing multiple indoor units.

[0046] In any of the above technical solutions, the spatial distribution information may be room division information or office area division information.

[0047] In any of the above technical solutions, any indoor unit is used as a positioning point and relative position information is generated according to the first correlation coefficient, specifically including: determining the quantization value corresponding to the first correlation coefficient according to a preset quantization relationship; obtaining the coordinate information of the indoor units other than any indoor unit according to the quantization value and the positioning point; and generating relative position information according to the positioning point and the coordinate information.

[0048] In this technical solution, the method for generating relative position information is specifically limited. Specifically, based on the above, it can be seen that the size of the correlation coefficient is correlated with the distance between different indoor units. Therefore, a mapping relationship between the correlation coefficient and the distance values ​​between different indoor units can be pre-constructed so that after the correlation coefficient is obtained, the distance values ​​between different indoor units can be determined according to the mapping relationship.

[0049] Specifically, in the present application, a preset quantitative relationship, that is, a mapping relationship between the correlation coefficient and the distance values ​​between different indoor units, is used. Therefore, after determining the quantization value, the coordinate information corresponding to the indoor unit corresponding to the quantization value can be determined based on the positioning point and quantization value of any indoor unit in the cluster group, so as to know the relative position relationship between any indoor unit and other indoor units based on the positioning point and coordinate information.

[0050] In one of the technical solutions, the positioning point can be understood as the coordinate origin.

[0051] In any of the above technical solutions, in the preset quantization relationship, the correlation coefficient is negatively correlated with the quantization value.

[0052] In any of the above technical solutions, the relative position information is a topological map.

[0053] In this technical solution, the form of expression of relative position information is specifically limited. By limiting the relative position information to be displayed in the form of a topological map, the user can intuitively perceive the location distribution between different indoor units. Therefore, different indoor units can be controlled more directly to ensure the control effect.

[0054] In any of the above technical solutions, before obtaining the return air temperature information of each indoor unit, it also includes: controlling multiple indoor units to operate in cooling mode, heating mode or dehumidification mode; or controlling one of the multiple indoor units to operate in cooling mode, heating mode or dehumidification mode, and controlling the other indoor units among the multiple indoor units to operate in air supply mode.

[0055] In this technical solution, the operating states of multiple indoor units are limited so that the relative position information between different indoor units can be quickly determined.

[0056] Specifically, multiple indoor units can be controlled to operate in cooling mode, heating mode, or dehumidification mode at the same time, so that multiple indoor units can adjust the temperature of the environment in which the indoor units are located at the same time, so as to determine the relative position information between different indoor units while achieving rapid cooling, heating, or dehumidification.

[0057] In one of the technical solutions, before obtaining the return air temperature information of each indoor unit, each of the multiple indoor units can be controlled to operate in accordance with the target operation mode in turn, while the other indoor units operate in the air supply mode, wherein the target operation mode can be any one of the heating mode, cooling mode and dehumidification mode.

[0058] In any of the above technical solutions, the first distribution information also includes a second distance value between the indoor unit corresponding to each virtual number and the enclosing structure. Determining the first distribution information of the indoor unit corresponding to each virtual number based on the return air temperature information includes: determining the absolute difference between the return air temperature information of each indoor unit and the outdoor ambient temperature; determining the third correlation coefficient between the return air temperature information of each indoor unit and the outdoor ambient temperature; determining the second distance value between the indoor unit corresponding to each virtual number and the enclosing structure based on the absolute difference and / or the third correlation coefficient.

[0059] In this technical solution, since the second distance value cannot be measured directly, considering that the indoor ambient temperature is mainly affected by the heat transfer of the envelope structure, and the heat transfer of the envelope structure is affected by the outdoor environment, and the position of the indoor unit in the indoor space remains unchanged, the correlation between the indoor unit and the ambient temperature is closely related to its distance from the external envelope structure of the building.

[0060] Since the indoor temperature distribution changes slowly with a small amplitude and the overall trend is relatively gentle and stable, the absolute difference between the return air temperature information and the outdoor ambient temperature can be used to characterize the distance between the indoor unit and the enclosure structure.

[0061] In addition, the distance value between the indoor unit and the enclosure structure may also be characterized according to the influence of the change in the outdoor ambient temperature on the return air temperature information, that is, the third correlation coefficient.

[0062] Similarly, the ratio of the absolute difference between the return air temperature information and the outdoor ambient temperature to the third correlation coefficient is used as a parameter to measure the distance value between the indoor unit and the enclosure structure.

[0063] In this technical solution, the above two solutions are used together to measure the distance value between the indoor unit and the enclosure structure, so as to improve the measurement accuracy of the second distance value.

[0064] In any of the above technical solutions, the second distance value between the indoor unit and the enclosure structure corresponding to each virtual number is determined according to the grading level corresponding to the ratio of the absolute difference to the third phase relationship coefficient.

[0065] In any of the above technical solutions, the matching relationship between the virtual numbers and the actual numbers in multiple indoor units is determined according to the first distribution information and the second distribution information, including: determining the matching rate between each virtual number and each actual number according to the first distribution information and the second distribution information; and taking the matching result with the highest matching rate as the matching relationship between the virtual numbers and the actual numbers in multiple indoor units.

[0066] In this technical solution, the matching rate between each virtual number and the actual number is calculated, and the matching result with the highest matching rate is selected as the final result, so as to ensure that the matching relationship is the most credible.

[0067] In any of the above technical solutions, determining the matching rate between each virtual number and each actual number includes: determining, when each virtual number corresponds to each actual number, a first difference between the second distance value and the first distance value, a first set consisting of actual numbers corresponding to indoor units with adjacent relationships in the first distribution information, and a second set consisting of actual numbers corresponding to indoor units with adjacent relationships in the second distribution information; determining the intersection and union of the first set and the second set; determining the matching rate based on the first difference, the number of elements in the intersection, and the number of elements in the union.

[0068] In this technical solution, the calculation method of the matching rate is specifically limited. By limiting the calculation of the matching rate to include the first difference, the similarity between the virtual number and the actual number is measured from the perspective of the indoor unit and the enclosure structure, so as to improve the credibility of the matching relationship.

[0069] By calculating the number of elements in the intersection and the number of elements in the union, the similarity between the virtual number and the actual number is measured from the perspective of the proximity relationship between the indoor units, so as to improve the credibility of the matching relationship.

[0070] The technical solution of the present application applies the above two solutions to ensure the credibility of the matching relationship.

[0071] In any of the above technical solutions, the enclosure structure includes walls and / or windows.

[0072] In this technical solution, the situations that the enclosure structure can include are specifically limited in order to ensure the credibility of the matching relationship.

[0073] According to a second aspect of the present invention, the present invention provides an air conditioning system, comprising: a plurality of indoor units; a control device, the control device communicating with the plurality of indoor units, and being used to execute the steps of the address matching method as described in any one of the first aspects.

[0074] 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 address matching method as described in any one of the first aspects. Therefore, the air-conditioning system has all the beneficial technical effects of any one of the above-mentioned address matching methods, which will not be repeated here.

[0075] According to a third aspect of the present invention, the present invention provides a readable storage medium having a program or instruction stored thereon, which, when executed by a processor, implements the steps of the address matching method as described in any one of the first aspects.

[0076] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0078] Figure 1 A schematic diagram of the flow of an address matching method in an embodiment of the present invention is shown;

[0079] Figure 2 A schematic diagram of a process for determining relative position information according to an embodiment of the present invention is shown;

[0080] Figure 3 A schematic diagram showing a flow chart of a solution for determining a first correlation coefficient according to an embodiment of the present invention;

[0081] Figure 4A schematic diagram showing a flow chart of a process for determining a set number of cluster groups according to an embodiment of the present invention;

[0082] Figure 5 A schematic diagram showing an actual usage scenario in an embodiment of the present invention;

[0083] Figure 6 A schematic diagram showing a correlation coefficient threshold in one embodiment of the present invention is shown;

[0084] Figure 7 A schematic diagram of a process for generating relative position information according to an embodiment of the present invention is shown;

[0085] Figure 8 A schematic diagram showing quantized values ​​of relative distances between different indoor units according to an embodiment of the present invention is shown;

[0086] Fig. 9 A schematic diagram showing relative position information between multiple indoor units according to an embodiment of the present invention;

[0087] Fig.10 A schematic diagram showing a representation of a preset quantization relationship according to an embodiment of the present invention;

[0088] Fig.11 A schematic diagram of a process for determining a second distance value according to an embodiment of the present invention is shown;

[0089] Fig.12 A schematic diagram of a process for determining a matching relationship according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

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

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

[0092] Embodiment 1

[0093] like Figure 1 As shown, according to one embodiment of the present invention, the present invention provides an address matching method for multiple indoor units, each indoor unit having a virtual number and an actual number, the address matching method comprising:

[0094] Step 102, determining first distribution information of the indoor unit corresponding to each virtual number according to the return air temperature information of the indoor unit;

[0095] Step 104, determining second distribution information of the indoor unit corresponding to each actual number according to the actual distribution information of the plurality of indoor units;

[0096] Step 106: Determine a matching relationship between virtual numbers and actual numbers in a plurality of indoor units according to the first distribution information and the second distribution information.

[0097] The embodiment of the present application proposes an address matching method. By running the address matching method, the matching relationship between the actual number and the virtual number can be determined, so that when maintaining multiple indoor units, this one-to-one relationship can be imported into the control system of the air-conditioning system, so that the personnel using the control system know which indoor unit is actually controlled. When a certain indoor unit fails, the actual position can be quickly located, and the impact of the failure can be quickly assessed, and corresponding countermeasures can be taken. In summary, the automatic identification of the actual number and the virtual number of the indoor unit can greatly reduce the cost of establishing the air-conditioning system, effectively promote the process of intelligent air conditioning, and the installer can install and debug the equipment according to the matching relationship, thereby reducing the difficulty of installing and maintaining the air-conditioning system.

[0098] The embodiment of the present application is implemented through the following scheme. Specifically, each indoor unit is assigned a virtual number. It can be understood that the virtual number is a virtual address set for the indoor unit when the indoor unit is installed or maintained, so that when the air-conditioning system composed of multiple indoor units communicates, the virtual number is used to characterize the indoor unit.

[0099] During the actual installation and maintenance process, each indoor unit also has an actual number, which can be marked by the installer according to the installation locations of multiple indoor units. For example, the installer can mark multiple indoor units on the design drawings for installing multiple indoor units.

[0100] Specifically, the return air temperature information at the return air outlet of each indoor unit among the multiple indoor units is detected, so as to determine the first distribution information of each indoor unit based on the return air temperature information. Since the first distribution information is obtained by measuring the return air temperature, each indoor unit is represented by a virtual number. Therefore, the distribution information corresponding to the indoor unit represented by the virtual number can be obtained. The first distribution information can represent the distribution of each indoor unit among the multiple indoor units under the virtual number.

[0101] As recorded above, the installer will mark multiple indoor units on the design drawings for installing multiple indoor units, and the marked design drawings can be understood as the actual distribution information of the multiple indoor units, that is, the second distribution information. Since each indoor unit in the distribution information is expressed using the mark given by the installer, the distribution information can be understood as the distribution of the indoor units represented by each actual number.

[0102] By determining the matching relationship between the virtual number and the actual number in each of the multiple indoor units, the indoor units represented by the virtual numbers can be matched with the actual numbers. When installing or maintaining the multiple indoor units, the installers can install and debug the equipment according to the matching relationship, thereby reducing the difficulty of installing and maintaining the air-conditioning system.

[0103] Embodiment 2

[0104] In one of the embodiments, the second distribution information includes: a first distance value between the indoor unit and the enclosure structure, and actual numbers corresponding to the indoor units that are adjacent to the indoor unit.

[0105] In this embodiment, when determining the matching relationship between the virtual number and the actual number according to the first distribution information and the second distribution information, the distance value between the indoor unit and the enclosure structure can be combined. Since the first distance value is used to characterize the distance value between the indoor unit and the enclosure structure, the accuracy of the matching relationship between the virtual number and the actual number can be improved by limiting the second distribution information to include the first distance value.

[0106] In addition, by limiting the second distribution information to also include actual numbers corresponding to indoor units that have a neighboring relationship with the indoor units, the relative positions between the multiple indoor units can be determined, thereby improving the accuracy of the matching relationship between the virtual numbers and the actual numbers.

[0107] For example, the actual numbers of the indoor units may be a, b, c, d, e, etc.

[0108] In any of the above embodiments, the number of indoor units between each indoor unit and the enclosure structure is used as the first distance value.

[0109] In this embodiment, the definition method of the first distance value is specifically limited. The first distance value, that is, the number of indoor units between the indoor unit and the surrounding structure, is used as the distance between the indoor unit a and the surrounding structure. For example, if there are two indoor units between the indoor unit a and the surrounding structure, the distance is defined as 2. When there are surrounding structures in multiple directions, the minimum distance value in each direction is taken as the final distance value.

[0110] In the above process, the relative position relationship between different indoor units and enclosure structures is characterized by using the definition of the first distance value, so as to improve the accuracy of the matching relationship between the virtual number and the actual number.

[0111] In any embodiment, based on the existence of a common boundary between any two indoor units, it is determined that they have a neighboring relationship.

[0112] In this embodiment, the method for determining the neighboring relationship is specifically defined. Considering that in actual application, actual numbers are assigned to multiple indoor units and the numbered units are divided into different areas, it is possible to determine whether the numbered indoor units have a neighboring relationship by judging whether there are common boundaries.

[0113] By limiting the determination method of the neighboring relationship, the second distribution information can be accurately represented, thereby improving the accuracy of the matching relationship between the virtual number and the actual number.

[0114] Embodiment 3

[0115] In one embodiment, the first distribution information includes relative position information between any two adjacent indoor units, such as Figure 2 As shown, the first distribution information of the indoor unit corresponding to each virtual number is determined according to the return air temperature information of each indoor unit, including:

[0116] Step 202, collecting temperature information at the return air outlet of each indoor unit to obtain return air temperature information;

[0117] Step 204, calculating the first correlation coefficient between two indoor units according to the collected return air temperature information;

[0118] Step 206, clustering the plurality of indoor units using the first correlation coefficient as a reference to obtain cluster groups having a set number of groups;

[0119] Step 208: In each cluster group, one indoor unit is selected as a positioning point, and relative position information is generated by using the calculated first correlation coefficient as a reference.

[0120] An embodiment of the present application proposes a method for determining relative position information. By running this method, the relative positions between multiple indoor units can be detected. During this process, there is no need for maintenance personnel to manually maintain the relative position relationship between the multiple indoor units. Therefore, the difficulty of maintaining the relative position relationship between the multiple indoor units is reduced, which is beneficial to reducing the time cost and labor cost required for maintenance. At the same time, the relative position information determined by the above method of the present application is obtained based on the detection results. Therefore, the obtained relative position information is more reliable.

[0121] The embodiments of the present application are implemented based on the following principles. Specifically, different indoor units are installed at different locations, and there is a distance between different indoor units, and the distance will be different due to different installation locations. Due to the existence of this distance, the influence between different indoor units will be inconsistent. For example, when one indoor unit is in a first sealed environment and another indoor unit is in a second sealed environment, there is no heat transfer between the first sealed environment and the second sealed environment. In this case, there is no influence between the indoor units in different sealed environments. When there are multiple indoor units in a sealed environment, there is an influence between different indoor units.

[0122] The embodiments of the present application collect these influences and use the correlation between the influences and the distances between different indoor units to estimate the relative position information between different indoor units.

[0123] Considering that the indoor unit is a device for adjusting the temperature in a sealed environment, and the indoor units with influence share a sealed environment, the above influence can be extracted by collecting the return air temperature information of the indoor unit. Specifically, the return air temperature information of multiple indoor units is traversed and obtained. If two indoor units are close to each other, the influence between the two indoor units will be serious. The correlation coefficient between two indoor units among the multiple indoor units determined by obtaining the return air temperature information will also be greater. Therefore, the distance between different indoor units can be characterized according to the correlation coefficient.

[0124] After determining the distance between two indoor units, multiple indoor units may be divided into the same cluster group based on the distance.

[0125] Among them, since the correlation coefficient between different indoor units can characterize the distance between different indoor units, after the cluster group division is completed, any indoor unit in the divided cluster group can be used as a positioning point to obtain the relative position relationship between other indoor units in the cluster group. After traversing all cluster groups, the relative distribution of all indoor units can be obtained, which is the relative position information in this application.

[0126] In any of the above embodiments, the return air temperature information of the indoor unit may be a discrete temperature value, that is, the return air temperature information detected by the indoor unit at intervals of a fixed detection time is expressed in the form of a temperature sequence.

[0127] In one of the embodiments, it can be understood that the return air temperature information is the temperature information at the return air outlet of the indoor unit.

[0128] In one of the embodiments, a temperature sensor may be provided at the return air outlet of the indoor unit, and the temperature information at the return air outlet may be acquired by using the temperature sensor.

[0129] In one embodiment, a determination scheme of the first correlation coefficient is specifically defined, specifically, as follows Figure 3 As shown, including:

[0130] Step 302, randomly selecting two indoor units from a plurality of indoor units, and calculating the covariance of the return air temperature information corresponding to the selected indoor units;

[0131] Step 304, determining the variance value of the return air temperature information corresponding to the selected indoor unit;

[0132] Step 306: Obtain a first correlation coefficient between the selected indoor units by performing operations on the variance and covariance.

[0133] In this embodiment, a determination scheme of the first correlation coefficient is specifically defined. Specifically, the calculation formula of the first correlation coefficient is as follows:

[0134]

[0135] Where X is one of every two indoor units, Y is the other of every two indoor units, cov(X,Y) is the covariance of the return air temperature information of X and Y, Var[X] is the variance of the return air temperature information of X, and Var[Y] is the variance of the return air temperature information of Y.

[0136] In one embodiment, the process of determining a set number of cluster groups is specifically defined, specifically, as follows: Figure 4 As shown, including:

[0137] Step 402, sorting the first correlation coefficients, selecting two indoor units corresponding to the largest first correlation coefficients, and classifying them into one category;

[0138] Step 404: based on the fact that the multiple indoor units are not classified into one category, the indoor units classified into one category are taken as the first indoor unit, and second correlation coefficients between the first indoor unit and the remaining outdoor units except the first indoor unit among the multiple indoor units are respectively determined, the second correlation coefficients are sorted, and two indoor units corresponding to the largest second correlation coefficients are selected and classified into one category, until all the multiple indoor units are classified into one category;

[0139] Step 406, obtaining a set number of cluster groups, and selecting a correlation coefficient threshold for the second correlation coefficient according to the set number;

[0140] Step 408: Clustering the multiple indoor units according to the second correlation coefficient and the correlation coefficient threshold to obtain a set number of cluster groups.

[0141] In this embodiment, the distance between different indoor units can be characterized according to the first correlation coefficient. Therefore, after determining the first correlation coefficient between two indoor units among multiple indoor units, the obtained first correlation coefficients can be arranged in order to determine the two indoor units with the largest correlation coefficients. From the above, it can be seen that the first correlation coefficient can be used to characterize the distance between different indoor units. Therefore, the two indoor units corresponding to the largest first correlation coefficient are the two indoor units with the closest distance.

[0142] After determining the two indoor units closest to each other, determine whether the other indoor units have been clustered. If the other indoor units have been clustered, determine whether the multiple indoor units have been clustered into one cluster group, that is, whether there is only one cluster group after clustering. If the judgment result is yes, arrange the multiple indoor units according to the first correlation coefficient.

[0143] In the above case, a set number is obtained. Since the set number is used to characterize how many cluster groups a plurality of indoor units are divided into, a correlation coefficient threshold can be set according to the set number, so that the indoor units in the cluster group can be divided according to the set correlation coefficient threshold, and finally a set number of cluster groups are obtained.

[0144] Considering that the number of indoor units is more than two, it can be three or more, that is, after the two indoor units corresponding to the largest first correlation coefficient after arrangement are divided into one category, there are still a number of indoor units that have not been clustered. In this case, the indoor units that have been classified into one category are taken as a whole, that is, the first indoor unit in the present application, and the second correlation coefficient between the first indoor unit and the indoor units that have not been clustered is determined, so as to use the second correlation coefficient to cluster the multiple indoor units, and finally realize the aggregation of the multiple indoor units into one category.

[0145] Specifically, for example, Figure 5 As shown, there are 9 indoor units. From the perspective of building plan, they can be divided into 4 areas: office area, conference area 1, conference area 2, and corridor area.

[0146] Among them, the indoor units include indoor unit 1, indoor unit 2, indoor unit 3, indoor unit 4, indoor unit 5, indoor unit 6, indoor unit 7, indoor unit 8 and indoor unit 9, among which indoor unit 1 is represented by 1#, indoor unit 2 is represented by 2#, indoor unit 3 is represented by 3#, indoor unit 4 is represented by 4#, indoor unit 5 is represented by 5#, indoor unit 6 is represented by 6#, indoor unit 7 is represented by 7#, indoor unit 8 is represented by 8#, and indoor unit 9 is represented by 9#. The calculation results of the first correlation coefficients between the multiple indoor units are shown in Table 1.

[0147] Table 1

[0148]

[0149]

[0150] Based on Table 1, it can be seen that the two indoor units with the largest first correlation coefficient are 3# and 4#. Therefore, 3# and 4# are classified into one category, and 3# and 4# are regarded as one indoor unit. The second correlation coefficient is calculated with other indoor units, and Table 2 is obtained.

[0151] Table 2

[0152]

[0153] Based on Table 2, it can be seen that the second correlation coefficient between 3# and 6# is the largest. At this time, it is considered that 3# and 6# are of the same type. Repeat the above steps to obtain Table 3.

[0154] Table 3

[0155]

[0156]

[0157] 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.

[0158] Table 4

[0159] 1# 2# Type 1 7# 8# 9# 1# Correlation coefficient 0 0.9356 0.8815875 0.6604 0.3823 0.7991 2# Correlation coefficient 0.9356 0 0.89545 0.7134 0.4081 0.8497 Type 1 Correlation coefficient 0.884475 0.9187 0 0.816175 0.4023 0.863025 7# Correlation coefficient 0.6604 0.7134 0.7796375 0 0.4667 0.7488 8# Correlation coefficient 0.3823 0.4081 0.377 0.4667 0 0.4821 9# Correlation coefficient 0.7991 0.8497 0.8385125 0.7488 0.4821 0 Maximum 0.9356 0.9356 0.89545 0.816175 0.4821 0.863025

[0160] 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.

[0161] Table 5

[0162] Type 2 Type 1 7# 8# 9# 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 Maximum 0.901588 0.9015875 0.816175 0.4821 0.863025

[0163] Repeat the above steps to obtain Table 6.

[0164] Table 6

[0165] Type 1 7# 8# 9# Type 1 Correlation coefficient 0 0.73326875 0.3861 0.83145625 7# Correlation coefficient 0.733269 0 0.4667 0.7488 8# Correlation coefficient 0.3861 0.4667 0 0.4821 9# Correlation coefficient 0.831456 0.7488 0.4821 0 Maximum 0.831456 0.7488 0.4821 0.83145625

[0166] In one embodiment, the second correlation coefficient may be an average value of first correlation coefficients between the indoor units classified into one category and the first indoor unit.

[0167] Specifically, Figure 6 As shown, the correlation coefficient threshold is also the correlation coefficient setting value. Based on the above table, it can be seen that the correlation coefficient threshold is selected between 0.8314 and 0.9016.

[0168] In one of the embodiments, a correlation coefficient threshold is set for the second correlation coefficient according to a set number of cluster groups. It can be understood that the correlation coefficient threshold is reasonably selected according to the set number so as to divide multiple indoor units into a set number of cluster groups.

[0169] In this process, the above scheme realizes clustering processing of indoor units that have not been clustered, improves the rationality of clustering groups obtained by clustering multiple indoor units, and ensures the accuracy of relative position information of multiple indoor units.

[0170] In one of the embodiments, the method further includes: obtaining space partition information where multiple indoor units are installed; and determining a set number based on the space partition information.

[0171] In this embodiment, since the set number is determined based on the acquired space partition information, the set number can be reasonably set according to the space where the indoor unit is installed. In this process, the impact of unreasonable setting of the set number on the selection of the preset threshold is reduced, thereby ensuring the accuracy of the relative position information of multiple indoor units, and ultimately reducing the difficulty of maintenance personnel in maintaining the relative position information, such as reducing manpower operating costs and time costs.

[0172] In any of the above embodiments, the space partition information may be determined based on information collected by the installer when installing multiple indoor units.

[0173] In any of the above embodiments, the spatial distribution information may be room division information or office area division information.

[0174] In one embodiment, a specific process of generating relative position information is specifically defined, such as Figure 7 As shown, specifically including:

[0175] Step 702, obtaining a preset quantization relationship, so as to determine a quantization value corresponding to the first correlation coefficient according to the preset quantization relationship;

[0176] Step 704, in the cluster group, according to the quantization value and the positioning point, obtain the coordinate information of the indoor units except any selected indoor unit;

[0177] Step 706: Generate relative position information based on the positioning point and coordinate information.

[0178] In this embodiment, the method for generating relative position information is specifically limited. Specifically, based on the above, it can be seen that the size of the correlation coefficient is correlated with the distance between different indoor units. Therefore, a mapping relationship between the correlation coefficient and the distance values ​​between different indoor units can be pre-constructed so that after the correlation coefficient is obtained, the distance values ​​between different indoor units can be determined according to the mapping relationship.

[0179] Specifically, in the present application, a preset quantitative relationship, that is, a mapping relationship between the correlation coefficient and the distance values ​​between different indoor units, is used. Therefore, after determining the quantization value, the coordinate information corresponding to the indoor unit corresponding to the quantization value can be determined based on the positioning point and quantization value of any indoor unit in the cluster group, so as to know the relative position relationship between any indoor unit and other indoor units based on the positioning point and coordinate information.

[0180] In one embodiment, the positioning point can be understood as a coordinate origin.

[0181] In one embodiment, in the preset quantization relationship, the correlation coefficient is negatively correlated with the quantization value.

[0182] In one embodiment, the corresponding relationship between the correlation coefficient and the quantization value is shown in Table 7.

[0183] Table 7

[0184]

[0185]

[0186] In one embodiment, if Figure 8 As shown, it is a schematic diagram of the quantized values ​​of relative distances between different indoor units.

[0187] In one of the embodiments, the relative position information may be expressed in the form of Table 8.

[0188] Table 8

[0189] 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

[0190] Here, x and y represent coordinates on coordinate axes that are perpendicular to each other.

[0191] like Fig. 9 As shown, the relative position information between multiple indoor units can be obtained based on Table 8.

[0192] In one embodiment, the relative position information is a topological map.

[0193] In this embodiment, the form of expression of the relative position information is specifically limited. The relative position information is limited to be displayed in the form of a topological map so that the user can intuitively perceive the location distribution between different indoor units. Therefore, different indoor units can be controlled more directly to ensure the control effect.

[0194] In one embodiment, Fig.10 A schematic diagram showing the expression form of the preset quantization relationship.

[0195] In one of the embodiments, it also includes: obtaining a return air temperature difference sequence of each indoor unit; determining an evaluation index based on the average value and variance of the return air temperature difference sequence between every two indoor units; and determining a preset number of indoor units around each indoor unit based on the evaluation index.

[0196] Specifically, for indoor environments, the closer the distance between two indoor units with the same operating conditions, the more obvious the mutual influence of their return air states, the overall fluctuation of the return air temperature will tend to the same curve, and the average value of the return air temperature difference sequence will be smaller. However, considering that there may be operating equipment in independent spaces, the curve that its return air temperature tends to may be similar to that of any indoor unit in the same operating state. In this case, the average return air temperature difference obtained is very small and has no judgment significance. However, in this case, the return air temperature difference sequence will fluctuate greatly because their actual correlation is low and the consistency of temperature change trend is low. Therefore, the calculation of the variance of the return air temperature difference sequence is increased, and the return air temperature sequence will have a larger variance in this case.

[0197] By calculating the mean value mean and variance square_d of the return air temperature difference sequence of each indoor unit, an evaluation index ms=abs(mean×square_d) is constructed based on the above reasons. This index is used to measure the real distance between each device, so as to obtain a more accurate location distribution between each indoor unit based on the clustering results.

[0198] In one embodiment, the average value and variance of the return air temperature difference between the indoor units are calculated based on the collected data, and the data shown in Table 9 are obtained as evaluation indicators. Based on the data in Table 9, the x units with the most similar evaluation indicators of each indoor unit are searched to obtain a group of adjacent indoor units with a number of x for each indoor unit.

[0199] Table 9

[0200]

[0201]

[0202] For example, if the value of x is 3, Table 10 can be obtained.

[0203] Table 10

[0204] Indoor unit virtual number Virtual number of nearby indoor units 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#]

[0205] Based on Table 10, the distribution of multiple indoor units can be obtained. Based on the above distribution, the position distribution of different indoor units can be obtained.

[0206] In one embodiment, based on the position distribution between different indoor units obtained in Table 10, the relative position information can be corrected to improve the credibility of the relative position information, thereby improving the accuracy of controlling different indoor units based on the relative position information.

[0207] 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.

[0208] In one of the embodiments, before obtaining the return air temperature information of each indoor unit, it also includes: controlling multiple indoor units to operate in cooling mode, heating mode or dehumidification mode; or controlling one of the multiple indoor units to operate in cooling mode, heating mode or dehumidification mode, and the other indoor units among the multiple indoor units to operate in air supply mode.

[0209] In this embodiment, the operating states of a plurality of indoor units are limited so that the relative position information between different indoor units can be quickly determined.

[0210] Specifically, multiple indoor units can be controlled to operate in cooling mode, heating mode, or dehumidification mode at the same time, so that multiple indoor units can adjust the temperature of the environment in which the indoor units are located at the same time, so as to determine the relative position information between different indoor units while achieving rapid cooling, heating, or dehumidification.

[0211] In one of the embodiments, before obtaining the return air temperature information of each indoor unit, each of the multiple indoor units can be controlled to operate in accordance with a target operation mode in turn, while the other indoor units operate in an air supply mode, wherein the target operation mode can be any one of a heating mode, a cooling mode and a dehumidification mode.

[0212] Embodiment 4

[0213] In one embodiment, the first distribution information further includes a second distance value between the indoor unit and the enclosure structure corresponding to each virtual number, such as Fig.11 As shown, determining the first distribution information of the indoor unit corresponding to each virtual number according to the return air temperature information includes:

[0214] Step 1102, determining the absolute difference between the return air temperature information of each indoor unit and the outdoor ambient temperature;

[0215] Step 1104, determining a third correlation coefficient between the return air temperature information of each indoor unit and the outdoor ambient temperature;

[0216] Step 1106: Determine the second distance value between the indoor unit and the enclosure structure corresponding to each virtual number according to the absolute difference and / or the third correlation coefficient.

[0217] In any of the above embodiments, the enclosure structure includes walls and / or windows.

[0218] In this embodiment, since the second distance value cannot be measured directly, considering that the indoor ambient temperature is mainly affected by the heat transfer of the envelope structure, and the heat transfer of the envelope structure is affected by the outdoor environment, and the position of the indoor unit in the indoor space remains unchanged, the correlation between the indoor unit and the ambient temperature is closely related to its distance from the building's external envelope structure.

[0219] Since the indoor temperature distribution changes slowly with a small amplitude and the overall trend is relatively gentle and stable, the absolute difference between the return air temperature information and the outdoor ambient temperature can be used to characterize the distance between the indoor unit and the enclosure structure.

[0220] In addition, the distance value between the indoor unit and the enclosure structure may also be characterized according to the influence of the change in the outdoor ambient temperature on the return air temperature information, that is, the third correlation coefficient.

[0221] Similarly, the ratio of the absolute difference between the return air temperature information and the outdoor ambient temperature to the third correlation coefficient is used as a parameter to measure the distance value between the indoor unit and the enclosure structure.

[0222] In this embodiment, the above two solutions are used together to measure the distance value between the indoor unit and the enclosure structure, so as to improve the measurement accuracy of the second distance value.

[0223] In any of the above embodiments, the second distance value between the indoor unit and the enclosure structure corresponding to each virtual number is determined according to the grading level corresponding to the ratio of the absolute difference value to the third phase relationship coefficient.

[0224] Specifically, the enclosure structure can be a wall. For example, the correlation coefficient and temperature difference between each indoor unit and the outdoor ambient temperature collected at the same time are calculated according to the time-series collected indoor unit return air temperature at night, and the evaluation index is obtained to evaluate the distance relationship between the indoor unit and the external enclosure structure. During the collection process, the operating status of each indoor unit remains consistent, that is, all are turned on or all are turned off. This process requires that the heat transfer direction of the building's external enclosure structure is consistent with that during the day, that is, the outdoor temperature at night also needs to be higher than the indoor temperature.

[0225] In the case of distance classification (0, 1, 2), the above-mentioned indoor units are divided into a corresponding number of levels, and their distances are defined from near to far, from 0 to the maximum value of the level.

[0226] Specifically, as shown in Table 11:

[0227] Table 11

[0228]

[0229] The second distribution information corresponding to any actual number is shown in the following table:

[0230] Table 12

[0231]

[0232]

[0233] In one embodiment, the enclosure structure may also be a window. Specifically, since the load brought by solar radiation through the window to the indoor environment is much faster than the load brought by the other enclosure structures, the impact on the return air temperature of each indoor unit will be more obviously different. Therefore, the daytime data can also effectively reflect the absolute spatial position of the indoor unit. The evaluation index is the same as that at night.

[0234] According to the time-series collected daytime indoor unit return air temperature, the correlation coefficient and temperature difference between each indoor unit and the outdoor ambient temperature collected at the same time are calculated, and the evaluation index shown in Table 13 is obtained to evaluate the distance relationship between the indoor unit and the outer window. The collection process also requires that the operation status of the indoor unit remain consistent, that is, all units are turned on or all units are turned off. This process should use data from days with strong radiation, and no shading facilities such as curtains are used to block the windows.

[0235] Table 13

[0236]

[0237] The second distribution information corresponding to any actual number is shown in the following table:

[0238] Table 14

[0239]

[0240]

[0241] Table 15 is the first distribution information corresponding to the virtual number, specifically including:

[0242] Table 15

[0243]

[0244] Embodiment 5

[0245] In one embodiment, a matching relationship between virtual numbers and actual numbers in a plurality of indoor units is determined according to the first distribution information and the second distribution information, such as Fig.12 As shown, including:

[0246] Step 1202, determining a matching rate between each virtual number and each actual number according to the first distribution information and the second distribution information;

[0247] Step 1204: The matching result with the highest matching rate is used as the matching relationship between the virtual numbers and the actual numbers in the multiple indoor units.

[0248] In this embodiment, the matching rate between each virtual number and the actual number is calculated, and the matching result with the highest matching rate is selected as the final result, so as to ensure that the matching relationship is the most credible.

[0249] In any of the above embodiments, determining the matching rate between each virtual number and each actual number includes: determining, when each virtual number corresponds to each actual number, a first difference between the second distance value and the first distance value, a first set consisting of actual numbers corresponding to indoor units having a neighboring relationship in the first distribution information, and a second set consisting of actual numbers corresponding to indoor units having a neighboring relationship in the second distribution information; determining the intersection and union of the first set and the second set; determining the matching rate based on the first difference, the number of elements in the intersection, and the number of elements in the union.

[0250] In this embodiment, the calculation method of the matching rate is specifically defined, and the calculation of the matching rate is limited to include the first difference so as to measure the similarity between the virtual number and the actual number from the perspective of the indoor unit and the enclosure structure, so as to improve the credibility of the matching relationship.

[0251] By calculating the number of elements in the intersection and the number of elements in the union, the similarity between the virtual number and the actual number is measured from the perspective of the proximity relationship between the indoor units, so as to improve the credibility of the matching relationship.

[0252] The embodiments of the present application apply the above two solutions to ensure the credibility of the matching relationship.

[0253] Specifically, a correspondence between the virtual numbers of the internal machines and the actual numbers is generated, and all possible sequences of replacements are generated, as shown in Table 16.

[0254] Table 16

[0255]

[0256] The feature coordinate information table of actual numbers is replaced with virtual numbers according to the above relationship, such as Table 17 becomes Table 18.

[0257] Table 17

[0258]

[0259]

[0260] Table 18

[0261]

[0262] The weighted matching rate is calculated for the indoor unit virtual address feature table and the replaced indoor unit actual area feature coordinate information table according to the similarity of the three features of wall, window and adjacent indoor unit. The matching rate of the indoor unit virtual address feature table and all replaced indoor unit actual area feature coordinate information tables is calculated.

[0263] Specifically, the matching rate is calculated as follows:

[0264] P 总 =∑P i

[0265] P1=x1×abs(D 墙,替换 -D 墙,实际 )+x2×abs(D 窗,替换 -D 窗,替换 )+x3×P 内机 ;

[0266] P 内机 =|IDU 实际 ∩IDU 替换 | / |IDU 实际 ∪IDU 替换 |;

[0267] For example: x1=0.5, x2=0.5, x3=0.5, which are weight values.

[0268] P1 represents the matching rate between indoor unit No. 1 in the actual feature table and indoor unit No. 1 in the room feature table after replacement.

[0269] Among them, for the indoor machine virtual address feature table: the distance D of the wall 墙,实际 , the window distance D 窗,实际 , nearby indoor unit collection IDU 实际 .

[0270] For the replaced feature table: the distance D of the wall 墙,替换 , the window distance D 窗,替换 , nearby indoor unit collection IDU 替换 .

[0271] Example:

[0272] IDU 实际 =[2,3,4,7],IDU 替换 =[9,7,3];

[0273] |IDU 实际 ∩IDU 替换 |=|[3,7]|=2;

[0274] |IDU 实际 ∪IDU 替换|=|[2,3,4,7,9]|=5, then P 内机 =2 / 5=0.4.

[0275] Record the set of corresponding relationships with the highest matching rate as output.

[0276] Embodiment 6

[0277] In one of the embodiments, the embodiment of the present application proposes an air conditioning system, comprising: a plurality of indoor units; a control device, the control device communicating with the plurality of indoor units, and being used to execute the steps of any of the address matching methods described above.

[0278] In this embodiment, the embodiment of the present application proposes an air-conditioning system, which includes a control device and multiple indoor units, wherein the control device executes the steps of any of the address matching methods described above, and therefore, the air-conditioning system has all the beneficial technical effects of any of the address matching methods described above.

[0279] Embodiment 7

[0280] In one of the embodiments, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of any of the above-mentioned address matching methods are implemented.

[0281] When the program or instruction stored on the readable storage medium proposed by the present invention is executed, the steps of any of the address matching methods described above can be implemented. Therefore, the readable storage medium has all the beneficial technical effects of any of the address matching methods described above, which will not be repeated here.

[0282] In the description of the present invention, the term "plurality" refers to two or more than two. Unless otherwise clearly defined, the orientation or positional relationship indicated by the terms "upper" and "lower" is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention. The terms "connection", "installation", "fixation" and the like should be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be directly connected or indirectly connected through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0283] In the description of the present invention, the description of the terms "one embodiment", "some embodiments", "specific embodiments", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In the present invention, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0284] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An address matching method for multiple indoor units, characterized in that: Each of the indoor units has a virtual number and an actual number, and the address matching method includes: Determining first distribution information of the indoor unit corresponding to each virtual number according to the return air temperature information of the indoor unit; Determine the second distribution information of the indoor unit corresponding to each actual number according to the actual distribution information of the plurality of indoor units; Determine, according to the first distribution information and the second distribution information, a matching relationship between the virtual numbers and the actual numbers in the plurality of indoor units; The second distribution information includes: A first distance value between the indoor unit and the enclosure structure, and an actual number corresponding to the indoor unit that is adjacent to the indoor unit; The first distribution information includes the relative position information between any two adjacent indoor units. Determining first distribution information of the indoor unit corresponding to each virtual number according to the return air temperature information of each indoor unit includes: Determining a first correlation coefficient between every two of the indoor units according to the return air temperature information; Clustering the plurality of indoor units according to the first correlation coefficient to obtain a set number of cluster groups; In each of the cluster groups, taking any of the indoor units as a positioning point and generating the relative position information according to the first correlation coefficient; Determining a first correlation coefficient between every two indoor units according to the return air temperature information specifically includes: Determine the covariance of the return air temperature information corresponding to each two of the indoor units; Determine a variance value of the return air temperature information corresponding to each of the indoor units; The first correlation coefficient is determined according to the variance and the covariance.

2. The address matching method according to claim 1, characterized in that: The number of indoor units between each of the indoor units and the enclosure structure is used as the first distance value.

3. The address matching method according to claim 1, characterized in that: Based on the existence of a common boundary between any two of the indoor units, it is determined that they have a neighboring relationship.

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

5. The address matching method according to claim 1, characterized in that: Also includes: Acquire spatial partition information where a plurality of indoor units are installed; A set number of the cluster groups is determined according to the space partition information.

6. The address matching method according to any one of claims 1 to 5, characterized in that: Taking any indoor unit as a positioning point and generating the relative position information according to the first correlation coefficient specifically includes: Determining a quantization value corresponding to the first correlation coefficient according to a preset quantization relationship; Obtaining coordinate information of indoor units other than any one of the indoor units according to the quantized value and the positioning point; Relative position information is generated according to the positioning point and the coordinate information.

7. The address matching method according to claim 1, characterized in that: The first distribution information also includes a second distance value between the indoor unit and the enclosure structure corresponding to each virtual number. The first distribution information of the indoor unit corresponding to each virtual number is determined according to the return air temperature information, including: Determine the absolute difference between the return air temperature information of each indoor unit and the outdoor ambient temperature; Determining a third correlation coefficient between the return air temperature information of each indoor unit and the outdoor ambient temperature; The second distance value between the indoor unit and the enclosure structure corresponding to each virtual number is determined according to the absolute difference and / or the third correlation coefficient.

8. The address matching method according to claim 7, characterized in that: The second distance value between the indoor unit and the enclosure structure corresponding to each virtual number is determined according to the grading level corresponding to the ratio of the absolute difference to the third correlation coefficient.

9. The address matching method according to any one of claims 1 to 5, characterized in that: Determining, according to the first distribution information and the second distribution information, a matching relationship between the virtual numbers and the actual numbers in the plurality of indoor units, comprising: Determine a matching rate between each virtual number and each actual number according to the first distribution information and the second distribution information; The matching result with the highest matching rate is used as the matching relationship between the virtual numbers and the actual numbers in the plurality of indoor units.

10. The address matching method according to claim 9, characterized in that: Determining the matching rate between each virtual number and each actual number includes: When determining that each virtual number corresponds to each actual number, a first difference between the second distance value and the first distance value, a first set consisting of actual numbers corresponding to the indoor units having a neighboring relationship in the first distribution information, and a second set consisting of actual numbers corresponding to the indoor units having a neighboring relationship in the second distribution information; Determine the intersection and union of the first set and the second set; The matching rate is determined according to the first difference, the number of elements in the intersection, and the number of elements in the union.

11. The address matching method according to any one of claims 1 to 5, characterized in that: The enclosure structure includes walls and / or windows.

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

13. A readable storage medium having a program or instruction stored thereon, characterized in that: When the program or instruction is executed by a processor, the steps of the address matching method according to any one of claims 1 to 11 are implemented.

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