Position determination method and apparatus, and air conditioning system and readable storage medium
Abstract
The present disclosure provides a method and device for position determination, an air conditioning system, and a readable storage medium. The method for position determination includes: acquiring return air temperature information of each indoor unit; determining a first correlation coefficient between every two indoor units based on the return air temperature information; classifying indoor units based on the first correlation coefficient to obtain a number of classified groups; and generating relative position information in each classified group based on the first correlation coefficient by taking any one of the indoor units as a locating point. Maintenance personnel are not required to manually maintain a relative position relation of indoor units. Therefore, the maintenance difficulty of the relative position relation of indoor units is reduced, and a time cost and a labor cost required for maintenance are reduced accordingly.
Claims
exact text as granted — not AI-modified1 . A method for position determination, configured for a plurality of indoor units, comprising:
acquiring return air temperature information of each indoor unit; determining a first correlation coefficient between every two indoor units based on the return air temperature information; classifying the plurality of indoor units based on the first correlation coefficient to obtain a number of classified groups; and generating relative position information in each classified group based on the first correlation coefficient by using any one of the air conditioning indoor units as a locating point.
2 . The method for position determination according to claim 1 , wherein the step of determining the first correlation coefficient between every two indoor units based on the return air temperature information further comprises:
determining a covariance of return air temperature information corresponding to every two indoor units; determining a variance of return air temperature information corresponding to each indoor unit; and determining the first correlation coefficient based on the variance and the covariance.
3 . The method for position determination according to claim 1 , wherein the step of classifying the plurality of indoor units based on the first correlation coefficient to obtain the number of classified groups further comprises:
dividing two indoor units with the largest first correlation coefficient into one class; taking the indoor units divided into one class as first indoor units, determining second correlation coefficients between the first indoor units and remaining indoor units, except for the first indoor units, of the plurality of indoor units respectively, and dividing two indoor units with the largest second correlation coefficient into one class until the plurality of indoor units are divided into one class; setting a correlation coefficient threshold for the second correlation coefficient based on the number of the classified groups; and dividing the plurality of indoor units based on the second correlation coefficient and the correlation coefficient threshold to obtain the number of classified groups.
4 . The method for position determination according to claim 3 , further comprising:
acquiring space partition information for the plurality of indoor units; and determining the number of the classified groups based on the space partition information.
5 . The method for position determination according to claim 1 , wherein the generating relative position information based on the first correlation coefficient by taking any one of the indoor units as a locating point further comprises:
determining a quantitative value corresponding to the first correlation coefficient based on a preset quantitative relation; acquiring coordinate information of an indoor unit except for said any one of the indoor units based on the quantitative value and the locating point; and generating the relative position information based on the locating point and the coordinate information.
6 . The method for position determination according to claim 5 , wherein in the preset quantitative relation, the first correlation coefficient is negatively correlated with the quantitative value.
7 . The method for position determination according to claim 1 , wherein the relative position information is a topological graph.
8 . The method for position determination according to claim 1 , wherein before the step of acquiring return air temperature information of each indoor unit, the method further comprises:
controlling the plurality of indoor units to run in a refrigeration mode, a heating mode, or a dehumidification mode; and alternatively, controlling one of the plurality of indoor units to run in a refrigeration mode, a heating mode, or a dehumidification mode, and controlling others of the plurality of indoor units to run in an air supply mode.
9 . The method for position determination according to claim 1 , further comprising:
acquiring absolute position information of any one of the indoor units, and determining actual position information based on the absolute position information and the relative position information.
10 . The method for position determination according to claim 1 , further comprising:
acquiring a return air temperature difference sequence of each indoor unit; determining an evaluation index based on a mean and a variance of return air temperature difference sequences of every two indoor units; and determining a preset number of indoor units around each indoor unit based on the evaluation index.
11 . The method for position determination according to claim 10 , wherein
the evaluation index is an absolute value of a product of the mean and the variance of the return air temperature difference sequences.
12 . A device for position determination, configured for a plurality of indoor units and comprising:
an acquisition device configured to acquire return air temperature information of each indoor unit; a determination device configured to determine a first correlation coefficient between every two indoor units based on the return air temperature information; a classification device configured to classify the plurality of indoor units based on the first correlation coefficient to obtain a number of classified groups; and a generation device configured to generate relative position information in each classified group based on the first correlation coefficient by taking any one of the indoor units as a locating point.
13 . An air conditioning system, comprising:
a plurality of indoor units; and a control device, wherein the control device communicates with the plurality of the indoor units and is configured to: acquire return air temperature information of each indoor unit; determine a first correlation coefficient between every two indoor units based on the return air temperature information; classify the plurality of indoor units based on the first correlation coefficient to obtain a number of classified groups; and generate relative position information in each classified group based on the first correlation coefficient by using any one of the air conditioning indoor units as a locating point.
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, storing a program or an instruction, wherein the program or the instruction implements steps of the method for position determination according to claim 1 when executed by a processor.
16 . The air conditioning system according to claim 13 , wherein the step of determining the first correlation coefficient between every two indoor units based on the return air temperature information further comprises:
determining a covariance of return air temperature information corresponding to every two indoor units; determining a variance of return air temperature information corresponding to each indoor unit; and determining the first correlation coefficient based on the variance and the covariance.
17 . The air conditioning system according to claim 13 , wherein the step of classifying the plurality of indoor units based on the first correlation coefficient to obtain the number of classified groups further comprises:
dividing two indoor units with the largest first correlation coefficient into one class; taking the indoor units divided into one class as first indoor units, determining second correlation coefficients between the first indoor units and remaining indoor units, except for the first indoor units, of the plurality of indoor units respectively, and dividing two indoor units with the largest second correlation coefficient into one class until the plurality of indoor units are divided into one class; setting a correlation coefficient threshold for the second correlation coefficient based on the number of the classified groups; and dividing the plurality of indoor units based on the second correlation coefficient and the correlation coefficient threshold to obtain the number of classified groups.
18 . The air conditioning system according to claim 17 , further comprising:
acquiring space partition information for the plurality of indoor units; and determining the number of the classified groups based on the space partition information.
19 . The air conditioning system according to claim 13 , wherein the generating relative position information based on the first correlation coefficient by taking any one of the indoor units as a locating point further comprises:
determining a quantitative value corresponding to the first correlation coefficient based on a preset quantitative relation; acquiring coordinate information of an indoor unit except for said any one of the indoor units based on the quantitative value and the locating point; and generating the relative position information based on the locating point and the coordinate information.
20 . The air conditioning system according to claim 19 , wherein in the preset quantitative relation, the first correlation coefficient is negatively correlated with the quantitative value.Join the waitlist — get patent alerts
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