CN114777286B - Air conditioning system and detection method thereof - Google Patents
Air conditioning system and detection method thereof Download PDFInfo
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- CN114777286B CN114777286B CN202210542699.9A CN202210542699A CN114777286B CN 114777286 B CN114777286 B CN 114777286B CN 202210542699 A CN202210542699 A CN 202210542699A CN 114777286 B CN114777286 B CN 114777286B
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- 238000004378 air conditioning Methods 0.000 title claims abstract description 210
- 238000001514 detection method Methods 0.000 title claims abstract description 36
- 239000007788 liquid Substances 0.000 claims abstract description 34
- 238000000034 method Methods 0.000 claims description 67
- 239000003507 refrigerant Substances 0.000 claims description 39
- 230000002159 abnormal effect Effects 0.000 claims description 24
- 230000008859 change Effects 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 8
- 238000003708 edge detection Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 5
- 238000010438 heat treatment Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- KRHYYFGTRYWZRS-UHFFFAOYSA-M Fluoride anion Chemical compound [F-] KRHYYFGTRYWZRS-UHFFFAOYSA-M 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000003139 buffering effect Effects 0.000 description 1
- 238000009833 condensation Methods 0.000 description 1
- 230000005494 condensation Effects 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/32—Responding to malfunctions or emergencies
- F24F11/38—Failure diagnosis
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/88—Electrical aspects, e.g. circuits
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2140/00—Control inputs relating to system states
- F24F2140/20—Heat-exchange fluid temperature
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- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The application provides a detection method of an air conditioning system and the air conditioning system, wherein the detection method comprises the following steps: acquiring an image at an observation port of a liquid storage tank of an air conditioning system; and/or after the air conditioning system is started for a certain period of time, acquiring an evaporator surface image of the air conditioning system; and/or respectively acquiring a temperature image at an air inlet and a temperature image at an air outlet of the air conditioning system; wherein, judge whether the operation of air conditioning system is normal according to at least one of the following conditions: the image at the port, the evaporator surface image, the comparison result of the temperature image at the intake port and the temperature image at the exhaust port, and the temperature image at the exhaust port are observed. The detection method of the air conditioning system can automatically detect whether the operation of the air conditioning system is normal or not, and solves the problem that the air conditioning system in the prior art does not have the function of automatically detecting whether the operation of the air conditioner is normal or not.
Description
Technical Field
The application relates to the technical field of air conditioners, in particular to a detection method of an air conditioning system and the air conditioning system.
Background
At present, the air conditioner can have the problems that a room is suddenly cold and hot in summer, an air conditioning system is not heated in winter and the like in the using process, so that the comfort level of a user is poor.
The reason for the problems of cooling and heating in summer and not heating in winter is usually that the air conditioner lacks refrigerant or freon, or the refrigerant in the four-way valve enters into the exhaust pipe.
The conventional air conditioner refrigerant detection method generally adopts manual or semi-automatic detection, and mostly adopts a mode that whether bubbles are generated, whether oil stains exist at the connecting positions of all devices or not is checked, a leak detector or an air conditioner pressure gauge is used, and the like through observation ports.
In addition, the refrigerant is generally added in the pipelines of the air conditioning system, details in the pipelines cannot be intuitively observed in the detection process of personnel, various detection instruments are required to be configured, the artificial detection efficiency is low, and the operation is complex.
Therefore, the detection method for whether the air conditioner operates normally in the prior art depends on manual experience and cannot perform intelligent process detection, so that manpower and material resources are consumed.
Disclosure of Invention
The application mainly aims to provide a detection method of an air conditioning system and the air conditioning system, which are used for solving the problem that the air conditioning system in the prior art does not automatically detect whether the air conditioning system operates normally.
In order to achieve the above object, according to one aspect of the present application, there is provided a detection method of an air conditioning system, comprising: acquiring an image at an observation port of a liquid storage tank of an air conditioning system; and/or after the air conditioning system is started for a certain period of time, acquiring an evaporator surface image of the air conditioning system; and/or respectively acquiring a temperature image at an air inlet and a temperature image at an air outlet of the air conditioning system; wherein, judge whether the operation of air conditioning system is normal according to at least one of the following conditions: the image at the port, the evaporator surface image, the comparison result of the temperature image at the intake port and the temperature image at the exhaust port, and the temperature image at the exhaust port are observed.
Further, the method for judging whether the operation of the air conditioning system is normal comprises the following steps: judging whether the air conditioning system lacks a refrigerant or not according to the image at the observation port and/or the surface image of the evaporator; judging whether the air conditioning system runs normally according to whether the air conditioning system lacks a refrigerant; when the air conditioning system lacks a refrigerant, the air conditioning system operates abnormally; otherwise, the air conditioning system operates normally.
Further, the method for judging whether the air conditioning system lacks the refrigerant according to the image at the observation port comprises the following steps: dividing a preset time period into a plurality of unit time periods which are distributed in sequence, and acquiring an image set at an observation port in each unit time period; identifying an image set at an observation port in each unit time period to obtain the number of bubble categories in each unit time period, and further obtaining the number change trend of the bubble categories in a plurality of unit time periods in a preset time period; judging whether the air conditioning system lacks the refrigerant according to the change trend.
Further, the method for judging whether the air conditioning system lacks the refrigerant according to the change trend comprises the following steps: when the number of the bubble categories in a plurality of unit time periods in the preset time period is gradually increased, judging that the air conditioning system lacks the refrigerant; otherwise, judging that the air conditioning system does not lack the refrigerant.
Further, the method for identifying the image set at the observation port in each unit time period to obtain the number of the bubble categories in each unit time period comprises the following steps: sequentially identifying a plurality of images in the image set at the observation port in each unit time period to obtain the number of bubble categories in each image in the image set at the observation port in the unit time period, and further obtaining the number of bubble categories in the image set at the observation port in the unit time period; the method for identifying each image at the observation port comprises the following steps: performing binarization processing on each image at the observation port; contour extraction and target detection are carried out on each image at the observation port subjected to binarization processing so as to identify the type of the air bubbles in each image at the observation port; the outline extraction method is used for extracting the outline of each image at the observation port.
Further, the method for judging whether the air conditioning system lacks the refrigerant according to the surface image of the evaporator comprises the following steps: identifying the evaporator surface image to identify the number of dew categories, and/or the number of ice categories, and/or the number of frost categories in the evaporator surface image; when the evaporator surface image meets at least one of the following conditions, judging that the air conditioning system lacks the refrigerant: the number of dew categories in the evaporator surface image exceeds a preset value, ice categories appear in the evaporator surface image, and frost categories appear in the evaporator surface image.
Further, the method for identifying the evaporator surface image comprises the following steps: performing edge extraction and target detection on the evaporator surface image to identify dew categories, and/or ice categories, and/or frost categories in the evaporator surface image; and extracting edges of the evaporator surface image by adopting a canny edge detection operator.
Further, the method for judging whether the operation of the air conditioning system is normal according to the comparison result of the temperature image at the air inlet and the temperature image at the air outlet comprises the following steps: performing color difference calculation on the temperature images at the air inlet and the temperature images at the air outlet to calculate a color difference E of the two temperature images; and judging the running condition of the air conditioning system according to the color difference E of the two temperature images.
Further, the method for judging the running condition of the air conditioning system according to the color difference E of the two temperature images comprises the following steps: when the color difference E of the two temperature images is larger than or equal to a preset difference, judging that the air conditioning system is normal in operation; otherwise, judging that the operation of the air conditioning system is abnormal.
Further, the method for calculating the color difference E of the two temperature images comprises the following steps: acquiring an average transparency L of a temperature image at the air inlet and a temperature image at the air outlet; acquiring an average red-green color difference A of a temperature image at an air inlet and a temperature image at an air outlet; acquiring an average blue-yellow color difference B of a temperature image at the air inlet and a temperature image at the air outlet; according to the formula e= (L 2 +A 2 +B 2 ) 1/2 And calculating a color difference E of the temperature image at the air inlet and the temperature image at the air outlet.
Further, judging whether the operation of the air conditioning system is normal or not according to the temperature image at the exhaust portThe method comprises the following steps: acquiring a color average T of a temperature image at an exhaust port 1 The method comprises the steps of carrying out a first treatment on the surface of the Confirm the color average T 1 Whether the first preset range is within the first preset range; the first preset range is a value range of a color average value of a temperature image at an exhaust port when the air conditioning system runs normally; when the color is averaged T 1 When the air conditioner is within the first preset range, judging that the air conditioner system is normal in operation; otherwise, the probability of judging the abnormal operation of the air conditioning system is larger.
Further, when the probability of judging that the operation of the air conditioning system is abnormal is large, the method for judging whether the operation of the air conditioning system is abnormal comprises the following steps: acquiring a temperature image of a gas-liquid separator of an air conditioning system; obtaining the color average value T of the gas-liquid separator according to the temperature image of the gas-liquid separator 2 The method comprises the steps of carrying out a first treatment on the surface of the Confirm the color average T 2 Whether the first preset range is within a second preset range; the second preset range is a value range of a color average value of a temperature image of the gas-liquid separator when the air conditioning system runs normally; when the color is averaged T 2 When the air conditioner is within the second preset range, judging that the air conditioner system is normal in operation; otherwise, judging that the operation of the air conditioning system is abnormal.
Further, when the probability of judging that the operation of the air conditioning system is abnormal is large, the method for judging whether the operation of the air conditioning system is abnormal comprises the following steps: acquiring a temperature image of a liquid storage tank of an air conditioning system; obtaining a color average value T according to the temperature image of the liquid storage tank 3 Confirm the color average T 3 Whether the first preset range is within a third preset range; the third preset range is a value range of a color average value of a temperature image of the liquid storage tank when the air conditioning system runs normally; when the color is averaged T 3 When the air conditioning system is within the third preset range, judging that the air conditioning system is normal in operation; otherwise, judging that the operation of the air conditioning system is abnormal.
According to another aspect of the present application, there is provided an air conditioning system adapted to the above-described detection method.
By applying the technical scheme of the application, the detection method of the air conditioning system comprises the following steps: acquiring an image at an observation port of a liquid storage tank of an air conditioning system; and/or after the air conditioning system is started for a certain period of time, acquiring an evaporator surface image of the air conditioning system; and/or respectively acquiring a temperature image at an air inlet and a temperature image at an air outlet of the air conditioning system; wherein, judge whether the operation of air conditioning system is normal according to at least one of the following conditions: the image at the port, the evaporator surface image, the comparison result of the temperature image at the intake port and the temperature image at the exhaust port, and the temperature image at the exhaust port are observed. The detection method of the air conditioning system can automatically detect whether the operation of the air conditioning system is normal or not, and solves the problem that the air conditioning system in the prior art does not have the function of automatically detecting whether the operation of the air conditioner is normal or not.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:
fig. 1 shows a flow chart of a detection method of an air conditioning system according to the present application.
Detailed Description
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present application. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
The application provides a detection method of an air conditioning system, referring to fig. 1, the detection method comprises the following steps: acquiring an image at an observation port of a liquid storage tank of an air conditioning system; and/or after the air conditioning system is started for a certain period of time, acquiring an evaporator surface image of the air conditioning system; and/or respectively acquiring a temperature image at an air inlet and a temperature image at an air outlet of the air conditioning system; wherein, judge whether the operation of air conditioning system is normal according to at least one of the following conditions: the image at the port, the evaporator surface image, the comparison result of the temperature image at the intake port and the temperature image at the exhaust port, and the temperature image at the exhaust port are observed. That is, whether the air conditioning system is operating normally is judged according to the image at the observation port, and/or the evaporator surface image, and/or the comparison result of the temperature image at the air inlet and the temperature image at the air outlet, and/or the temperature image at the air outlet. The detection method of the air conditioning system can automatically detect whether the operation of the air conditioning system is normal or not, and solves the problem that the air conditioning system in the prior art does not have the function of automatically detecting whether the operation of the air conditioner is normal or not.
In the air conditioning system, the liquid storage tank is an important part of the compressor and has the functions of storage, gas-liquid separation, filtration, noise reduction and refrigerant buffering, and the liquid storage tank comprises a cylinder body, an air inlet pipe, an air outlet pipe, a filter screen and other parts.
When the air conditioning system operates normally, the temperature difference between the actual temperature of the air conditioning system and the set temperature thereof is within a preset temperature difference range, namely the fluctuation range of the actual temperature of the air conditioning system relative to the set temperature thereof is smaller, and the comfort level of the air conditioning system is higher at the moment; when the air conditioning system is abnormal in operation, the temperature difference between the actual temperature of the air conditioning system and the set temperature of the air conditioning system exceeds the preset temperature difference range, namely the fluctuation range of the actual temperature of the air conditioning system relative to the set temperature of the air conditioning system is larger, and the comfort level of the air conditioning system is lower; the actual temperature of the air conditioning system refers to the actual temperature of the environment in which the air conditioning system is located under the action of the air conditioning system.
In this embodiment, the method for determining whether the operation of the air conditioning system is normal includes: judging whether the air conditioning system lacks a refrigerant or not according to the image at the observation port and/or the surface image of the evaporator; judging whether the air conditioning system runs normally according to whether the air conditioning system lacks a refrigerant; when the air conditioning system lacks a refrigerant, the air conditioning system operates abnormally; otherwise, the air conditioning system operates normally.
In this embodiment, the method for determining whether the air conditioning system lacks a refrigerant according to the image at the observation port includes: dividing a preset time period into a plurality of unit time periods which are distributed in sequence, and acquiring an image set at an observation port in each unit time period; identifying an image set at an observation port in each unit time period to obtain the number of bubble categories in each unit time period, and further obtaining the number change trend of the bubble categories in a plurality of unit time periods in a preset time period; judging whether the air conditioning system lacks the refrigerant according to the change trend.
Specifically, the method for judging whether the air conditioning system lacks the refrigerant according to the change trend comprises the following steps: when the number of bubble categories of the multiple unit time periods in the preset time period is gradually increased, namely the number of bubbles which emerge from the observation port of the multiple unit time periods in the preset time period is increased, judging that the air conditioning system lacks a refrigerant, and adding the refrigerant to the air conditioning system is needed; otherwise, judging that the air conditioning system does not lack the refrigerant.
When the air conditioning system operates normally, the number of the bubble types in each unit time period is almost zero, namely, no bubble is almost emitted at the observation port of the liquid storage tank at the moment; when the air conditioning system is turned off, bubbles emerge from the observation port in a short time, which is a normal phenomenon.
Specifically, the method for identifying the image set at the observation port in each unit time period to obtain the number of the bubble categories in each unit time period comprises the following steps: and sequentially identifying a plurality of images in the image set at the observation port in each unit time period to obtain the number of bubble categories in each image in the image set at the observation port in the unit time period, and further obtaining the number of bubble categories in the image set at the observation port in the unit time period.
Specifically, the method for identifying each image at the observation port includes: performing binarization processing on each image at the observation port; contour extraction and target detection are carried out on each image at the observation port subjected to binarization processing so as to identify the type of the air bubbles in each image at the observation port; the outline extraction method is used for extracting the outline of each image at the observation port.
In this embodiment, the method for determining whether the air conditioning system lacks a refrigerant according to the evaporator surface image includes: identifying the evaporator surface image to identify the number of dew categories, and/or the number of ice categories, and/or the number of frost categories in the evaporator surface image; when the evaporator surface image meets at least one of the following conditions, judging that the air conditioning system lacks the refrigerant: the number of dew categories in the evaporator surface image exceeds a preset value, ice categories appear in the evaporator surface image, and frost categories appear in the evaporator surface image; otherwise, judging that the air conditioning system does not lack the refrigerant.
When the air conditioning system is in normal operation, the quantity of dew categories in the evaporator surface image is smaller than or equal to a preset value, and ice categories and frost categories cannot appear in the evaporator surface image, namely, less dew exists on the evaporator surface and ice and frost cannot appear on the evaporator surface. When the air conditioning system is abnormal in operation, dew on the surface of the evaporator increases, or ice or frost appears on the surface of the evaporator, that is, the number of dew categories in the image of the surface of the evaporator at this time exceeds a preset value, or ice categories or frost categories appear in the image of the surface of the evaporator. The air humidity of the environment where the air conditioning system is located may affect the preset value, that is, when the air humidity of the environment where the air conditioning system is located is higher, the preset value is larger.
Specifically, the method for identifying the evaporator surface image comprises the following steps: performing edge extraction and target detection on the evaporator surface image to identify dew categories, and/or ice categories, and/or frost categories in the evaporator surface image; and extracting edges of the evaporator surface image by adopting a canny edge detection operator.
In the present embodiment, the method for judging whether the operation of the air conditioning system is normal according to the comparison result of the temperature image at the air inlet and the temperature image at the air outlet includes: performing color difference calculation on the temperature image at the air inlet and the temperature image at the air outlet to calculate a color difference E of the two temperature images; and judging the running condition of the air conditioning system according to the color difference E of the two temperature images.
It should be noted that, since there is necessarily a temperature difference between the temperature at the intake port and the temperature at the exhaust port, there is necessarily a color difference between the temperature image having a higher temperature and the temperature image having a lower temperature.
Specifically, the method for judging the running condition of the air conditioning system according to the color difference E of the two temperature images comprises the following steps: when the color difference E of the two temperature images is larger than or equal to a preset difference, judging that the air conditioning system is normal in operation; otherwise, when the color difference E of the two temperature images is smaller than the preset difference, judging that the operation of the air conditioning system is abnormal. In general, the larger the color difference E value of the two temperature images is, the better the running condition of the air conditioning system is; conversely, when the color difference E of the two temperature images is smaller, the operation condition of the air conditioning system is poorer. Wherein the color difference E is also related to the set temperature of the air conditioning system.
Alternatively, the above-described "comparison result of the temperature image at the intake port and the temperature image at the exhaust port" refers to the comparison result of the temperature image at the intake port and the temperature image at the exhaust port at the same time.
Specifically, the method of calculating the color difference E of two temperature images (i.e., a temperature image at the intake port and a temperature image at the exhaust port) includes: acquiring an average transparency L of a temperature image at the air inlet and a temperature image at the air outlet; acquiring an average red-green color difference A of a temperature image at an air inlet and a temperature image at an air outlet; acquiring an average blue-yellow color difference B of a temperature image at the air inlet and a temperature image at the air outlet; according to the formula e= (L 2 +A 2 +B 2 ) 1/2 Calculating the temperature at the air inletColor difference E of the temperature image at the exhaust port and the temperature image at the exhaust port.
Specifically, a temperature image at the intake port and a temperature image at the exhaust port are photographed by a thermal camera.
In this embodiment, the method for judging whether the operation of the air conditioning system is normal according to the temperature image at the exhaust port includes: acquiring a color average T of a temperature image at an exhaust port 1 The method comprises the steps of carrying out a first treatment on the surface of the Confirm the color average T 1 Whether the first preset range is within the first preset range; the first preset range is a value range of a color average value of a temperature image at an exhaust port when the air conditioning system runs normally; when the color is averaged T 1 When the air conditioner is within the first preset range, judging that the air conditioner system is normal in operation; otherwise, the probability of judging the abnormal operation of the air conditioning system is larger.
Specifically, when the probability of judging that the operation of the air conditioning system is abnormal is large, the first judgment method and/or the second judgment method may be employed to judge whether the operation of the air conditioning system is abnormal.
Specifically, the first judgment method is as follows: acquiring a temperature image of a gas-liquid separator of an air conditioning system; obtaining the color average value T of the gas-liquid separator according to the temperature image of the gas-liquid separator 2 The method comprises the steps of carrying out a first treatment on the surface of the Confirm the color average T 2 Whether the first preset range is within a second preset range; the second preset range is a value range of a color average value of a temperature image of the gas-liquid separator when the air conditioning system runs normally; when the color is averaged T 2 When the air conditioner is within the second preset range, judging that the air conditioner system is normal in operation; conversely, when the color average value T 2 And when the operation of the air conditioning system exceeds the second preset range, judging that the operation of the air conditioning system is abnormal.
It should be noted that the second preset range is [ T ] 4 -△t 1 ，T 4 +△t 1 ]I.e. when T 4 -△t 1 ≤T 2 ≤T 4 +△t 1 When the color is equal to T 2 Is within a second preset range; when T is 2 >T 4 +△t 1 Or T 2 <T 4 -△t 1 When the color is equal to T 2 Beyond the second pre-stageSetting a range, wherein the four-way valve of the air conditioning system generates a cross gas phenomenon; the four-way valve is generally disposed at an upper portion of the compressor of the outdoor unit.
In the air conditioning system, a gas-liquid separator is generally installed on a return line between an evaporator and a compressor to prevent liquid refrigerant from flowing into the compressor.
Specifically, the second judging method is as follows: acquiring a temperature image of a liquid storage tank of an air conditioning system; obtaining a color average value T according to the temperature image of the liquid storage tank 3 Confirm the color average T 3 Whether the first preset range is within a third preset range; the third preset range is a value range of a color average value of a temperature image of the liquid storage tank when the air conditioning system runs normally; when the color is averaged T 3 When the air conditioning system is within the third preset range, judging that the air conditioning system is normal in operation; conversely, when the color average value T 3 And when the operation of the air conditioning system exceeds the third preset range, judging that the operation of the air conditioning system is abnormal.
The third preset range is [ T ] 5 -△t 2 ，T 5 +△t 2 ]I.e. when T 5 -△t 2 ≤T 3 ≤T 5 +△t 2 When the color is equal to T 3 Is within a third preset range; when T is 3 >T 5 +△t 2 Or T 3 <T 5 -△t 2 When the color is equal to T 3 And exceeding a third preset range, wherein the four-way valve of the air conditioning system is in a gas cross phenomenon.
In addition to the above detection method, it may be necessary to detect whether the connection of each pipe (e.g., a condensation pipe, a drain pipe, an air intake pipe, etc.) of the air conditioning system is normal, whether each component of the air conditioning system has a problem, etc.
The application also provides an air conditioning system which is suitable for the detection method.
From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:
in the detection method of the air conditioning system provided by the application, the detection method comprises the following steps: acquiring an image at an observation port of a liquid storage tank of an air conditioning system; and/or after the air conditioning system is started for a certain period of time, acquiring an evaporator surface image of the air conditioning system; and/or respectively acquiring a temperature image at an air inlet and a temperature image at an air outlet of the air conditioning system; wherein, judge whether the operation of air conditioning system is normal according to at least one of the following conditions: the image at the port, the evaporator surface image, the comparison result of the temperature image at the intake port and the temperature image at the exhaust port, and the temperature image at the exhaust port are observed. The detection method of the air conditioning system can automatically detect whether the operation of the air conditioning system is normal or not, and solves the problem that the air conditioning system in the prior art does not have the function of automatically detecting whether the operation of the air conditioner is normal or not.
Specifically, the detection method of the air conditioning system is adopted: 1. the situation that the observation port is manually observed and recorded is eliminated, the image at the observation port can be photographed in real time, the image at the observation port is processed to analyze the situation that the bubbles are generated, and then whether the refrigerant is insufficient or not is monitored in real time. 2. The method comprises the steps of shooting an evaporator surface image in real time, and processing the evaporator surface image to analyze whether the partial part of the evaporator surface is frosted or frozen, so as to judge whether fluoride is lacked. 3. The time-consuming phenomenon caused by manual recording is reduced, and the method is convenient and quick. 4. The detection efficiency is improved.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the application described herein may be capable of being practiced otherwise than as specifically illustrated and described. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Spatially relative terms, such as "above … …," "above … …," "upper surface at … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial location relative to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as "above" or "over" other devices or structures would then be oriented "below" or "beneath" the other devices or structures. Thus, the exemplary term "above … …" may include both orientations of "above … …" and "below … …". The device may also be positioned in other different ways (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (13)
1. A method for detecting an air conditioning system, comprising:
acquiring an image at an observation port of a liquid storage tank of an air conditioning system; and/or
When the air conditioning system is started for a certain period of time, acquiring an evaporator surface image of the air conditioning system; and/or
Respectively acquiring a temperature image at an air inlet and a temperature image at an air outlet of the air conditioning system;
wherein, judge whether the operation of the said air conditioning system is normal according to at least one of the following conditions: an image at the observation port, an image of the evaporator surface, a comparison of the temperature image at the intake port and the temperature image at the exhaust port, and the temperature image at the exhaust port;
the method for judging whether the air conditioning system operates normally according to the comparison result of the temperature image at the air inlet and the temperature image at the air outlet comprises the following steps: performing color difference calculation on the temperature image at the air inlet and the temperature image at the air outlet to calculate a color difference E of the two temperature images; and judging the running condition of the air conditioning system according to the color difference E of the two temperature images.
2. The method of detecting an air conditioning system according to claim 1, wherein the method of judging whether the air conditioning system is operating normally comprises:
judging whether the air conditioning system lacks a refrigerant or not according to the image at the observation port and/or the surface image of the evaporator;
judging whether the air conditioning system runs normally according to whether the air conditioning system lacks a refrigerant;
when the air conditioning system lacks a refrigerant, the air conditioning system operates abnormally; otherwise, the air conditioning system operates normally.
3. The method for detecting an air conditioning system according to claim 2, wherein the method for judging whether the air conditioning system lacks refrigerant according to the image at the observation port comprises:
dividing a preset time period into a plurality of unit time periods which are distributed in sequence, and acquiring an image set at the observation port in each unit time period;
identifying image sets at observation ports in each unit time period to obtain the number of bubble categories in each unit time period, and further obtaining the number change trend of the bubble categories in a plurality of unit time periods in the preset time period;
judging whether the air conditioning system lacks a refrigerant according to the change trend.
4. The method for detecting an air conditioning system according to claim 3, wherein the method for determining whether the air conditioning system lacks refrigerant according to the trend of change comprises:
when the number of the bubble categories of the plurality of unit time periods in the preset time period is gradually increased, judging that the air conditioning system lacks a refrigerant; otherwise, judging that the air conditioning system does not lack the refrigerant.
5. A method of detecting an air conditioning system according to claim 3, wherein the method of identifying the image set at the viewing port in each of the unit time periods to derive the number of bubble categories in each of the unit time periods comprises:
sequentially identifying a plurality of images in the image set at the observation port in each unit time period to obtain the number of bubble categories in each image in the image set at the observation port in the unit time period, and further obtaining the number of bubble categories in the image set at the observation port in the unit time period;
the method for identifying each image at the observation port comprises the following steps: performing binarization processing on each image at the observation port; performing contour extraction and target detection on each image at the observation port subjected to binarization processing to identify the bubble category in each image at the observation port; and extracting the outline of each image at the observation port by adopting a method of hollowing out the internal points.
6. The method of detecting an air conditioning system according to claim 2, wherein the method of judging whether the air conditioning system lacks refrigerant based on the evaporator surface image comprises:
identifying the evaporator surface image to identify the number of dew categories, and/or the number of ice categories, and/or the number of frost categories in the evaporator surface image;
when the evaporator surface image meets at least one of the following conditions, judging that the air conditioning system lacks a refrigerant: the number of dew categories in the evaporator surface image exceeds a preset value, ice categories appear in the evaporator surface image, and frost categories appear in the evaporator surface image.
7. The method of detecting an air conditioning system according to claim 6, wherein the method of recognizing the evaporator surface image includes:
performing edge extraction and target detection on the evaporator surface image to identify dew categories, and/or ice categories, and/or frost categories in the evaporator surface image; and extracting the edges of the evaporator surface image by adopting a canny edge detection operator.
8. The method for detecting an air conditioning system according to claim 1, wherein the method for judging the operation condition of the air conditioning system according to the color difference E of the two temperature images comprises:
when the color difference E of the two temperature images is larger than or equal to a preset difference, judging that the air conditioning system operates normally; otherwise, judging that the operation of the air conditioning system is abnormal.
9. The method for detecting an air conditioning system according to claim 1, wherein the method for calculating the color difference E of the two temperature images includes:
acquiring an average transparency L of the temperature image at the air inlet and the temperature image at the air outlet;
acquiring an average red-green color difference A of the temperature image at the air inlet and the temperature image at the air outlet;
acquiring an average blue-yellow color difference B of the temperature image at the air inlet and the temperature image at the air outlet;
according to the formula e= (L 2 +A 2 +B 2 ) 1/2 Calculated to obtainAnd a color difference E of the temperature image at the air inlet and the temperature image at the air outlet is obtained.
10. The method of detecting an air conditioning system according to claim 1, wherein the method of judging whether the air conditioning system is operating normally based on the temperature image at the exhaust port comprises:
acquiring a color average value T of the temperature image at the exhaust port 1 ；
Confirming the color average value T 1 Whether the first preset range is within the first preset range; the first preset range is a value range of a color average value of the temperature image at the exhaust port when the air conditioning system operates normally;
when the color average value T 1 When the air conditioning system is within the first preset range, judging that the air conditioning system is normal in operation; otherwise, the probability of abnormal operation of the air conditioning system is judged to be larger.
11. The method of detecting an air conditioning system according to claim 10, wherein when the probability of determining that the operation of the air conditioning system is abnormal is large, the method of determining whether the operation of the air conditioning system is abnormal comprises:
acquiring a temperature image of a gas-liquid separator of the air conditioning system;
obtaining a color average value T of the gas-liquid separator according to the temperature image of the gas-liquid separator 2 ；
Confirming the color average value T 2 Whether the first preset range is within a second preset range; the second preset range is a value range of a color average value of the temperature image of the gas-liquid separator when the air conditioning system runs normally;
when the color average value T 2 When the air conditioner is within the second preset range, judging that the air conditioner system operates normally; otherwise, judging that the operation of the air conditioning system is abnormal.
12. The method of detecting an air conditioning system according to claim 10, wherein when the probability of determining that the operation of the air conditioning system is abnormal is large, the method of determining whether the operation of the air conditioning system is abnormal comprises:
acquiring a temperature image of a liquid storage tank of the air conditioning system;
obtaining a color average value T of the liquid storage tank according to the temperature image of the liquid storage tank 3 ，
Confirming the color average value T 3 Whether the first preset range is within a third preset range; the third preset range is a value range of a color average value of the temperature image of the liquid storage tank when the air conditioning system runs normally;
when the color average value T 3 When the air conditioning system is within the third preset range, judging that the air conditioning system is normal in operation; otherwise, judging that the operation of the air conditioning system is abnormal.
13. An air conditioning system adapted to the detection method according to any one of claims 1 to 12.
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