CN112577154A - Method and device for detecting air conditioner abnormity - Google Patents
Method and device for detecting air conditioner abnormity Download PDFInfo
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- 230000002159 abnormal effect Effects 0.000 claims abstract description 58
- 238000001514 detection method Methods 0.000 claims abstract description 41
- 230000005856 abnormality Effects 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 6
- 238000004378 air conditioning Methods 0.000 claims description 3
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- 238000005057 refrigeration Methods 0.000 description 5
- 238000012423 maintenance Methods 0.000 description 4
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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
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
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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
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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Abstract
The invention provides a method and a device for detecting air conditioner abnormity. The method comprises the following steps: acquiring an outdoor environment temperature value detected by a target air conditioner; acquiring an outdoor environment temperature reference value of a reference area where a target air conditioner is located; and judging whether the outdoor environment temperature detection of the target air conditioner is abnormal or not according to the difference value between the outdoor environment temperature value detected by the target air conditioner and the outdoor environment temperature reference value. According to the scheme, the outdoor environment temperature reference value is obtained through the big data, comparison and analysis are carried out based on the big data, the abnormal detection condition of the outdoor environment temperature of the air conditioner can be checked in time, and the problems that the frequency of the compressor is limited and the air conditioner is abnormal due to the fact that the outdoor environment temperature detected by the air conditioner is too high are solved.
Description
Technical Field
The invention relates to the technical field of air conditioners, in particular to a method and a device for detecting air conditioner abnormity.
Background
The conventional split air conditioner generally has an outdoor unit, and when the air conditioner is installed, the installation conditions (such as location) of the outdoor unit greatly affect the operation of the air conditioner. If the outdoor unit of the air conditioner is installed at a position where the temperature is much higher than the ambient temperature, the temperature detected by the temperature sensor of the outdoor unit is much higher than the actual outdoor ambient temperature, so that the frequency of the compressor of the air conditioner is limited, and the cooling effect of the air conditioner is affected. For example, when installed, some air conditioners have their outdoor units placed directly behind the south-facing wall. Because the outdoor unit is closer to the wall surface, and the wall surface faces south, the temperature of the wall surface is far higher than the actual outdoor environment temperature in hot weather (such as sunshine in summer), and at the moment, the outdoor environment temperature detected by the temperature sensor of the outdoor unit of the air conditioner is much higher than the actual outdoor environment temperature. Under the condition, if the air conditioner operation is controlled directly according to the outdoor environment temperature detected by the air conditioner, the frequency of the compressor is limited due to the overhigh outdoor environment temperature, so that the air conditioner is abnormally operated, and the refrigeration effect of the air conditioner is influenced.
Therefore, a method for detecting an abnormal outdoor ambient temperature detected by an air conditioner is needed to solve the problem of the limited frequency of the compressor caused by the high outdoor ambient temperature detected by the air conditioner.
Disclosure of Invention
The invention aims to provide an air conditioner abnormity detection method which can timely check the abnormal conditions of outdoor environment temperature detection of an air conditioner by acquiring an outdoor environment temperature reference value through big data and based on the comparative analysis of the outdoor environment temperature reference value and the outdoor environment temperature value of a target air conditioner.
It is a further object of the present invention to improve the accuracy of the outdoor ambient temperature reference value of big data acquisition by mathematical statistics.
Still another object of the present invention is to transmit the abnormal information of the outdoor ambient temperature detection of the air conditioner to the server, so as to facilitate the after-sales service and maintenance of the air conditioner and to ensure the operation effect of the air conditioner.
Particularly, the invention provides a method for detecting the abnormity of an air conditioner, which comprises the following steps:
acquiring an outdoor environment temperature value detected by a target air conditioner;
acquiring an outdoor environment temperature reference value of a reference area where a target air conditioner is located;
and judging whether the outdoor environment temperature detection of the target air conditioner is abnormal or not according to the difference value between the outdoor environment temperature value detected by the target air conditioner and the outdoor environment temperature reference value.
Optionally, the step of obtaining an outdoor ambient temperature reference value of a reference area where the target air conditioner is located includes:
determining a reference area;
acquiring outdoor environment temperature values detected by all reference air conditioners in a reference area;
and counting the outdoor environment temperature value detected by the reference air conditioner to obtain an outdoor environment temperature reference value.
Optionally, the step of determining the reference region comprises:
scanning the number of reference air conditioners within an initial set distance range around a target air conditioner;
judging whether the number of the reference air conditioners in the initial set distance range is larger than or equal to a reference number threshold value or not;
if so, taking the initial set distance range as a reference area;
if not, the initial set distance range is gradually expanded by taking the position of the target air conditioner as the center, and the expanded range in which the number of the reference air conditioners is greater than or equal to the reference number threshold is taken as the reference area.
Optionally, the step of obtaining the reference value of the outdoor environment temperature by counting the outdoor environment temperature values detected by referring to the air conditioner includes:
and calculating the average value of the outdoor environment temperature values detected by the reference air conditioner as an outdoor environment temperature reference value.
Optionally, the step of calculating an average value of the outdoor environment temperature values detected with reference to the air conditioner as the outdoor environment temperature reference value includes:
removing an abnormal value from the outdoor ambient temperature values detected with reference to the air conditioner;
and calculating the average value of the outdoor environment temperature values detected by the residual reference air conditioner after removing the abnormal value to be used as the reference value of the outdoor environment temperature.
Optionally, the step of removing an abnormal value from the outdoor ambient temperature values detected with reference to the air conditioner includes:
calculating the average value of outdoor environment temperature values detected by all reference air conditioners in the reference area;
calculating the absolute value of the difference value between the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area and the outdoor environment temperature value detected by each reference air conditioner in the reference area;
comparing the absolute value of the difference value between the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area and the outdoor environment temperature value detected by each air conditioner in the reference area with a first temperature difference threshold value;
and if the absolute value of the difference value between the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area and the outdoor environment temperature value detected by a certain reference air conditioner in the reference area is greater than or equal to the first temperature difference threshold value, determining the outdoor environment temperature value detected by the reference air conditioner as an abnormal value and removing the abnormal value.
Optionally, the step of obtaining an outdoor ambient temperature reference value of a reference area where the target air conditioner is located includes:
and acquiring the real-time air temperature of a reference area where the target air conditioner is located through a network module to serve as an outdoor environment temperature reference value.
Optionally, the step of determining whether the outdoor environment temperature detection of the target air conditioner is abnormal according to a difference between the outdoor environment temperature value detected by the target air conditioner and the outdoor environment temperature reference value includes:
calculating the difference value between the outdoor environment temperature value detected by the target air conditioner and the outdoor environment temperature reference value;
judging whether the difference value is larger than a second temperature difference threshold value or not;
and if so, judging that the detection of the outdoor environment temperature of the target air conditioner is abnormal.
Optionally, after determining that the detection of the outdoor ambient temperature of the target air conditioner is abnormal, the method further includes:
outputting information indicating that the outdoor ambient temperature of the target air conditioner is detected abnormally to the server.
Another aspect of the present invention also provides an apparatus for detecting an abnormality of an air conditioner, including:
a processor; and
a memory storing computer program code;
the computer program code, when executed by the processor, causes the detection apparatus to perform any of the above air conditioning anomaly detection methods.
The method for detecting the air conditioner abnormity comprises the steps of firstly obtaining an outdoor environment temperature value detected by a target air conditioner and an outdoor environment temperature reference value of a reference area where the target air conditioner is located, and then judging whether the outdoor environment temperature detection of the target air conditioner is abnormal or not according to the difference value of the outdoor environment temperature value detected by the target air conditioner and the outdoor environment temperature reference value. According to the detection method, the outdoor environment temperature reference value is obtained through the big data, comparison and analysis are carried out based on the big data, the abnormal detection condition of the outdoor environment temperature of the air conditioner can be checked in time, and the problems that the frequency of the compressor is limited and the air conditioner is abnormal due to the fact that the outdoor environment temperature detected by the air conditioner is too high are solved.
Furthermore, after the outdoor environment temperature of the target air conditioner is judged to be abnormal, the information indicating the abnormal outdoor environment temperature detection of the target air conditioner can be sent to the background server, so that service personnel can timely know the abnormal information of the air conditioner and carry out maintenance according to the abnormal information, and the operation effect of the air conditioner is guaranteed.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the invention will be described in detail hereinafter, by way of illustration and not limitation, with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
fig. 1 is a flowchart illustrating a method for detecting an air conditioner abnormality according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for detecting an abnormality of an air conditioner according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of an air conditioner abnormality detection apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In the prior art, a general air conditioner is provided with an outer loop temperature frequency limiting measure to prevent the pressure of a refrigeration system from being too high. When the outdoor environment temperature is too high, the frequency limit of the air conditioner can occur, namely, the frequency of the compressor is reduced, so that the situations of internal overheat protection of the compressor, damage of the compressor, unsafe operation of a refrigerating system and the like are avoided. When the frequency of the compressor is decreased, the cooling effect of the air conditioner is also decreased. The split air conditioner generally detects an outdoor ambient temperature by a temperature sensor of an outdoor unit, and performs an air conditioner operation control according to the detected outdoor ambient temperature. However, the difference in the installation position of the outdoor unit of the air conditioner is likely to cause a large difference in the outdoor ambient temperature detected by the temperature sensor of the outdoor unit. When the outdoor environment temperature detected by the temperature sensor of the outdoor unit is high (that is, the detected outdoor environment temperature is obviously higher than the actual outdoor environment temperature), the reduction of the air conditioner refrigeration effect caused by frequency limitation affects the user experience, and misguides the user to think that the air conditioner lacks a refrigerant or the air conditioner refrigeration capacity is deteriorated, so that the correct abnormal fault cannot be timely found out to really solve the problem of poor refrigeration effect.
In order to solve the above technical problem, an embodiment of the present invention provides a method for detecting an air conditioner anomaly. Fig. 1 is a flowchart illustrating a method for detecting an air conditioner abnormality according to an embodiment of the present invention. Referring to fig. 1, the method may include at least steps S102 to S106.
And step S102, acquiring an outdoor environment temperature value detected by the target air conditioner.
And step S104, acquiring an outdoor environment temperature reference value of a reference area where the target air conditioner is located.
And step S106, judging whether the outdoor environment temperature detection of the target air conditioner is abnormal or not according to the difference value between the outdoor environment temperature value detected by the target air conditioner and the outdoor environment temperature reference value.
According to the detection method provided by the embodiment of the invention, the outdoor environment temperature reference value of the reference area where the target air conditioner is located is obtained through the big data, and the outdoor environment temperature value detected by the target air conditioner is compared and analyzed based on the big data, so that the abnormal condition of the outdoor environment temperature detection of the air conditioner can be checked in time, and the problems of limited frequency of the compressor and abnormal operation of the air conditioner caused by the overhigh outdoor environment temperature detected by the air conditioner are solved.
In step S102, the obtained outdoor temperature value may generally refer to an outdoor temperature value detected by an outdoor temperature sensor of an outdoor unit of the target air conditioner.
In the above step S104, the reference area may be generally understood as an area within a set distance range centered on the target air conditioner. Taking the vertical projection position of the target air conditioner on the ground as the center of a circle, and the set distance is the radius a, the area a of the reference area can be expressed as: a ═ pi a2。
The manner of obtaining the outdoor ambient temperature reference value of the reference area may be various. In one embodiment of the present invention, the outdoor ambient temperature reference value may be obtained by counting outdoor ambient temperature values detected by all reference air conditioners in the reference area. The reference air conditioner mentioned herein refers to an air conditioner having an outdoor ambient temperature detection capability similar to the target air conditioner and capable of data interaction with the execution subject of the air conditioning abnormality detection method of the present invention. The execution main body of the air conditioner abnormity detection method can be arranged on the target air conditioner, also can be arranged on a server connected with the target air conditioner, or one part of the execution main body is arranged on the target air conditioner, and the other part is arranged on the server. When the reference air conditioner performs data interaction with the execution subject provided on the target air conditioner, it is preferably performed through the server.
In the scheme of obtaining the reference value of the outdoor environment temperature by counting the outdoor environment temperature values detected by all the reference air conditioners in the reference area, firstly, the reference area where the target air conditioner is located needs to be determined. Specifically, for example, an area within a set distance around the target air conditioner and covered by the server is selected as a reference area, with the vertical projection position of the target air conditioner on the ground as the center. Typically, the set distance may be in a range of 1 to 10km, which is not particularly limited by the present invention.
Then, outdoor ambient temperature values detected by all the reference air conditioners in the reference area are acquired. Specifically, by performing data interaction between the main body and all reference air conditioners in the reference area, the outdoor environment temperature values detected by the reference air conditioners are acquired.
And finally, counting the outdoor environment temperature value detected by the acquired reference air conditioner to obtain an outdoor environment temperature reference value.
In the embodiment of the present invention, the outdoor environment temperature value detected by the reference air conditioner may be counted in various ways, for example, an average, a median, a mode, and the like of the outdoor environment temperature value detected by the reference air conditioner may be counted. The average is simple to calculate, can comprehensively reflect the overall level of the counted data, and is easily influenced by extreme variable values or outliers. Median refers to the data that is sized to form a series, centered between the series, that preferably reflects the median level of the data being counted, and is not affected by extreme variable values or outliers. The mode refers to the data that appears most frequently in a set of data, which may preferably reflect the central tendency point of the data, and is also unaffected by extreme variable values or outliers. Outdoor environment temperature values detected by all reference air conditioners in the reference area are obtained in a big data mode and are subjected to statistical processing, so that the outdoor environment temperature reference values can be accurately obtained, and the accuracy of air conditioner abnormity detection is improved.
In one embodiment of the present invention, an average value of the outdoor environment temperature values detected by all the reference air conditioners within the acquired reference area is calculated as the outdoor environment temperature reference value. By adopting the statistical mode of the average value, the calculated amount is reduced, and the detection efficiency is improved.
As described above, since the outdoor unit of the air conditioner is installed at different positions, the outdoor ambient temperature detected by the temperature sensor of the outdoor unit is likely to have a large difference, and thus an abnormal value (or referred to as an outlier) may also appear in the outdoor ambient temperature detected by the reference air conditioner, and the outlier may affect the statistical average result. Therefore, in a preferred embodiment, when calculating the average value of the outdoor environment temperature values detected by all the reference air conditioners in the acquired reference area, it is also possible to first remove the abnormal values in the outdoor environment temperature values detected by all the reference air conditioners in the acquired reference area, and then calculate the average value of the outdoor environment temperature values detected by the reference air conditioners remaining after removing the abnormal values as the outdoor environment temperature reference value.
Further, the step of removing the abnormal values among the outdoor environment temperature values detected by all the reference air conditioners within the acquired reference area may be implemented as follows:
and step one, calculating the average value of outdoor environment temperature values detected by all the reference air conditioners in the acquired reference area.
And secondly, calculating the absolute value of the difference value between the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area and the outdoor environment temperature value detected by each reference air conditioner in the reference area.
And thirdly, comparing the absolute value of the difference value between the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area and the outdoor environment temperature value detected by each air conditioner in the reference area with the first temperature difference threshold value. The value of the first temperature difference threshold value can be set according to actual requirements. Typically, the first temperature difference threshold may be in the range of 5-10 ℃.
And fourthly, if the absolute value of the difference value between the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area and the outdoor environment temperature value detected by a certain reference air conditioner in the reference area is greater than or equal to the first temperature difference threshold value, determining the outdoor environment temperature value detected by the reference air conditioner as an abnormal value and removing the abnormal value.
In the above second and third steps, the absolute value of the calculated difference may be compared with the first temperature difference threshold after calculating the absolute value of the difference between the outdoor environment temperature value detected by one reference air conditioner and the average value of the outdoor environment temperature values detected by all the reference air conditioners, or the absolute value of the calculated difference may be compared with the first temperature difference threshold one by one after calculating the absolute value of the difference between the outdoor environment temperature value detected by each reference air conditioner and the average value of the outdoor environment temperature values detected by all the reference air conditioners.
The above-described abnormal value removal flow will be described below by way of example. For example, assuming that the number of reference air conditioners in a reference area where the target air conditioner is located is m, and the outdoor environment temperature value detected by each reference air conditioner in the obtained reference area is represented as Tn, n is 1,2, …, m, the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area is calculated: (T1+ T2+ … + Tm)/m, and further calculates an absolute value | (T1+ T2+ … + Tm)/m-Tn | (n is 1,2, …, m) of a difference between an average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area and the outdoor environment temperature value detected by each of the reference air conditioners in the reference area. Setting a first temperature difference threshold value as b, wherein the value of b is 5 ℃. Comparing | (T1+ T2+ … + Tm)/m-Tn | (n is 1,2, …, m) with b one by one, removing the outdoor environment temperature value detected by the reference air conditioner which meets | (T1+ T2+ … + Tm)/m-Tn | ≧ b, and calculating the average value of the outdoor environment temperature values detected by the rest of the reference air conditioners to serve as the outdoor environment temperature reference value.
By removing the abnormal value in the outdoor environment temperature value detected by the reference air conditioner, the influence of the abnormal value on the outdoor environment temperature value statistical result is avoided, and the accuracy of the outdoor environment temperature reference value is further improved.
For data statistics, the number of samples of data has a great influence on the accuracy of the statistical result. In general, the greater the number of samples, the more accurate the statistical result. Therefore, when the reference area where the target air conditioner is located is determined, the appropriate reference area range can be selected according to the number of the reference air conditioners in the reference area.
In one embodiment, the step of determining the reference region may be implemented as follows:
first, the number of reference air conditioners within an initially set distance range around a target air conditioner is scanned. The initial setting distance is a preset value and can be set according to actual application scenes. For example, typically, the initial set distance may be set to 1 km.
Then, it is determined whether the number of reference air conditioners within the initially set distance range is greater than or equal to a reference number threshold. The reference number threshold may be set according to the number of data samples required by statistics, which is not limited by the invention.
And finally, if the number of the reference air conditioners in the initial setting distance range is judged to be larger than or equal to the reference number threshold value, taking the initial setting distance range as a reference area. If the number of the reference air conditioners in the initial setting distance range is judged to be smaller than the reference number threshold value, the initial setting distance range is gradually expanded by taking the position of the target air conditioner as the center, and the expanded range in which the number of the reference air conditioners is larger than or equal to the reference number threshold value is taken as a reference area. Alternatively, the initially set distance range is expanded at predetermined distance intervals while expanding the initially set distance range step by step. Specifically, after each expansion, the number of reference air conditioners within the expanded range is scanned and the resulting number of reference air conditioners is compared with a reference number threshold until the number of reference air conditioners within the expanded range is greater than or equal to the reference number threshold, at which time the expanded range is determined as the reference area.
The flow of the step of determining the reference area is described below by way of example. For example, assume that the initial set distance is 1km, the predetermined distance interval is 0.5km, and the reference number threshold is 20. In determining the reference area, the number of reference air conditioners within 1km of the periphery of the target air conditioner is first scanned. Assuming that the number of reference air conditioners within a range of 1km around the target air conditioner obtained by scanning is 12, the number of reference air conditioners within a range of 1km around the target air conditioner is less than a reference number threshold value 20 by comparison and judgment, and at this time, the peripheral range of the target air conditioner to be scanned is gradually expanded at intervals of 0.5 km. That is, the number of reference air conditioners within 1.5km of the periphery of the target air conditioner is continuously scanned. Assuming that the number of the reference air conditioners in the range of 1.5km around the target air conditioner obtained by scanning is 25, the number of the reference air conditioners in the range of 1.5km around the target air conditioner is larger than the reference number threshold value 20 through comparison and judgment, and at this time, the range of 1.5km around the target air conditioner is determined as the reference area.
By determining the reference area in this way, it can be ensured that enough outdoor environment temperature data samples are obtained from the reference air conditioner in the reference area, and the accuracy of the outdoor environment temperature reference value obtained through statistics is further improved.
The above describes a scheme of obtaining an outdoor ambient temperature reference value by counting outdoor ambient temperature values detected by all reference air conditioners in a reference area. In another alternative embodiment of the present invention, the real-time air temperature of the reference area where the target air conditioner is located may also be obtained by the network module to serve as the outdoor ambient temperature reference value. The network module may be a WiFi module, an IoT (Internet of Things) module, or the like. For example, the local real-time air temperature of the reference area where the target air conditioner is located may be obtained by the WiFi module via the internet from a platform that can provide weather service, or the real-time air temperature detected by the IoT module may be obtained from a device with a real-time air temperature detection function, and the real-time air temperature may be directly used as the outdoor ambient temperature reference value. The method greatly simplifies the operation of acquiring the reference value of the outdoor environment temperature, reduces the calculated amount and improves the detection efficiency.
In step S106, the determination is performed according to the difference between the outdoor ambient temperature value detected by the target air conditioner and the outdoor ambient temperature reference value, and if the difference between the outdoor ambient temperature value detected by the target air conditioner and the outdoor ambient temperature reference value is large, the detection of the outdoor ambient temperature of the target air conditioner may be determined to be abnormal.
In one embodiment of the present invention, step S106 may be further implemented as:
first, a difference between an outdoor ambient temperature value detected by a target air conditioner and an outdoor ambient temperature reference value is calculated. And then, judging whether the difference value between the outdoor environment temperature value detected by the target air conditioner and the outdoor environment temperature reference value is larger than a second temperature difference threshold value. And finally, if the difference value between the outdoor environment temperature value detected by the target air conditioner and the outdoor environment temperature reference value is judged to be larger than the second temperature difference threshold value, the difference between the outdoor environment temperature value detected by the target air conditioner and the outdoor environment temperature reference value is larger, and the outdoor environment temperature detection abnormality of the target air conditioner can be judged. Typically, the value of the second temperature difference threshold may be set in the range of 1-100 ℃, preferably in the range of 1-10 ℃.
In one embodiment of the present invention, after determining that the outdoor ambient temperature of the target air conditioner is detected abnormally, information indicating that the outdoor ambient temperature of the target air conditioner is detected abnormally may also be output. For example, information indicating that the outdoor ambient temperature of the target air conditioner is detected abnormally may be output to a display device (e.g., a display interface of the air conditioner, etc.) to be presented to the user, so that the user may know the abnormal information of the air conditioner in time. Or, the information indicating the abnormality of the outdoor environment temperature detection of the target air conditioner may also be uploaded to an application APP client loaded on a user terminal (such as a mobile phone, a computer, etc.) to prompt the user, so that the user can timely know the abnormality information of the air conditioner. Or, the information indicating that the outdoor environment temperature of the target air conditioner is detected abnormally may be sent to a server (also referred to as a background server), so that service personnel can timely know the abnormal information of the air conditioner and perform maintenance according to the abnormal information, thereby ensuring the operation effect of the air conditioner.
In the above, various implementation manners of each link of the embodiment shown in fig. 1 are introduced, and the implementation process of the method for detecting an air conditioner abnormality according to the present invention will be described in detail through a specific embodiment.
Fig. 2 is a flowchart illustrating a method for detecting an air conditioner abnormality according to an embodiment of the present invention. Referring to fig. 2, the method may include at least the following steps S202 to S224.
Step S202, an outdoor environment temperature value detected by the target air conditioner is obtained.
In this embodiment, after the target air conditioner is powered on, a current outdoor environment temperature value detected by an outdoor temperature sensor of an outdoor unit of the target air conditioner is obtained.
In step S204, the number of reference air conditioners within the range of the initial set distance around the target air conditioner is scanned.
In this embodiment, the initial setting distance is set to 1 km.
In step S206, it is determined whether the number of reference air conditioners within the initially set distance range is greater than or equal to the reference number threshold. If yes, go to step S208, otherwise go to step S210.
In step S208, the initial set distance range is determined as the reference area, and the process proceeds to step S212.
Step S210, with the position of the target air conditioner as the center, gradually expanding the initially set distance range, and determining the expanded range in which the number of reference air conditioners is greater than or equal to the reference number threshold as the reference area, and continuing to execute step S212.
In this step, the initially set distance range is gradually expanded at predetermined distance intervals of 0.5 km.
Step S212, outdoor environment temperature values detected by all the reference air conditioners in the reference areas are obtained.
In step S214, the abnormal values in the outdoor ambient temperature values detected by all the reference air conditioners in the acquired reference area are removed.
In this step, the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area is calculated, and then the absolute value of the difference value between the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area and the outdoor environment temperature value detected by each reference air conditioner in the reference area is calculated. Then, the absolute value of the difference between the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area and the outdoor environment temperature value detected by each air conditioner in the reference area is compared with a first temperature difference threshold value, which is set to 5 ℃. And finally, if the absolute value of the difference value between the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area and the outdoor environment temperature value detected by a certain reference air conditioner in the reference area is greater than or equal to the first temperature difference threshold value, determining the outdoor environment temperature value detected by the reference air conditioner as an abnormal value and removing the abnormal value.
In step S216, the average value of the outdoor ambient temperature values detected by the remaining reference air conditioners after the removal of the abnormal value is calculated as the outdoor ambient temperature reference value.
In step S218, a difference between the outdoor ambient temperature value detected by the target air conditioner and the outdoor ambient temperature reference value is calculated.
Step S220, determining whether a difference between the outdoor ambient temperature value detected by the target air conditioner and the outdoor ambient temperature reference value is greater than a second temperature difference threshold, where the second temperature difference threshold is set to 3 ℃. If yes, go to step S222. If not, the process is ended.
In step S222, it is determined that the detection of the outdoor ambient temperature of the target air conditioner is abnormal.
Step S224, outputting information indicating that the detection of the outdoor ambient temperature of the target air conditioner is abnormal to the server, and ending the process.
According to the embodiment of the invention, the appropriate reference area is selected, the outdoor environment temperature value detected by the reference air conditioner in the reference area is obtained, and the outdoor environment temperature reference value is obtained in a big data statistical mode based on the obtained outdoor environment temperature value of the reference air conditioner, so that the accuracy of the outdoor environment temperature reference value is improved, and the accuracy and the effectiveness of the air conditioner abnormity detection are further improved. Meanwhile, the abnormal information is sent to the background server, so that service personnel can timely know the abnormal information of the air conditioner and carry out maintenance according to the abnormal information, and technical support is provided for after-sales.
Based on the same inventive concept, the embodiment of the invention also provides a device for detecting the abnormity of the air conditioner. Fig. 3 is a schematic structural diagram of an air conditioner abnormality detection apparatus 100 according to an embodiment of the present invention. Referring to fig. 3, the detection apparatus 100 may generally include a processor 110 and a memory 120. The memory 120 has stored therein computer program code. When the computer program code is run by the processor 110, the detection apparatus 100 is caused to execute the method for detecting an air conditioner abnormality of any of the above embodiments or a combination thereof.
In practical applications, the apparatus 100 for detecting an air conditioner abnormality may be disposed on a target air conditioner, or may be disposed on a server connected to the target air conditioner, or a part of the apparatus may be disposed on the target air conditioner, and another part of the apparatus may be disposed on the server, which is not limited in the present invention.
Thus, it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been illustrated and described in detail herein, many other variations or modifications consistent with the principles of the invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Accordingly, the scope of the invention should be understood and interpreted to cover all such other variations or modifications.
Claims (10)
1. A method for detecting air conditioner abnormality comprises the following steps:
acquiring an outdoor environment temperature value detected by a target air conditioner;
acquiring an outdoor environment temperature reference value of a reference area where the target air conditioner is located;
and judging whether the outdoor environment temperature detection of the target air conditioner is abnormal or not according to the difference value between the outdoor environment temperature value detected by the target air conditioner and the outdoor environment temperature reference value.
2. The method of claim 1, wherein,
the step of obtaining the reference value of the outdoor environment temperature of the reference area where the target air conditioner is located includes:
determining the reference region;
acquiring outdoor environment temperature values detected by all reference air conditioners in the reference areas;
and counting the outdoor environment temperature value detected by the reference air conditioner to obtain the outdoor environment temperature reference value.
3. The method of claim 2, wherein,
the step of determining the reference region comprises:
scanning the number of reference air conditioners within the initial set distance range around the target air conditioner;
judging whether the number of the reference air conditioners in the initial set distance range is larger than or equal to a reference number threshold value or not;
if so, taking the initial set distance range as the reference area;
if not, gradually expanding the initial set distance range by taking the position of the target air conditioner as a center, and taking the expanded range in which the number of the reference air conditioners is greater than or equal to the reference number threshold as the reference area.
4. The method of claim 2, wherein,
the step of counting the outdoor environment temperature values detected by the reference air conditioner to obtain the outdoor environment temperature reference values comprises the following steps:
and calculating the average value of the outdoor environment temperature values detected by the reference air conditioner to serve as the outdoor environment temperature reference value.
5. The method of claim 4, wherein,
the step of calculating an average value of the outdoor environment temperature values detected by the reference air conditioner as the outdoor environment temperature reference value includes:
removing abnormal values in the outdoor environment temperature values detected by the reference air conditioner;
and calculating the average value of the outdoor environment temperature values detected by the reference air conditioner after the abnormal value is removed, and taking the average value as the outdoor environment temperature reference value.
6. The method of claim 5, wherein,
the step of removing an abnormal value from the outdoor ambient temperature values detected by the reference air conditioner includes:
calculating the average value of outdoor environment temperature values detected by all reference air conditioners in the reference area;
calculating the absolute value of the difference value between the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area and the outdoor environment temperature value detected by each reference air conditioner in the reference area;
comparing the absolute value of the difference value between the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area and the outdoor environment temperature value detected by each air conditioner in the reference area with a first temperature difference threshold value;
and if the absolute value of the difference value between the average value of the outdoor environment temperature values detected by all the reference air conditioners in the reference area and the outdoor environment temperature value detected by a certain reference air conditioner in the reference area is greater than or equal to the first temperature difference threshold value, determining the outdoor environment temperature value detected by the reference air conditioner as an abnormal value and removing the abnormal value.
7. The method of claim 1, wherein,
the step of obtaining the reference value of the outdoor environment temperature of the reference area where the target air conditioner is located includes:
and acquiring the real-time air temperature of the reference area where the target air conditioner is located through a network module to serve as the reference value of the outdoor environment temperature.
8. The method of claim 1, wherein,
the step of judging whether the outdoor environment temperature detection of the target air conditioner is abnormal or not according to the difference value between the outdoor environment temperature value detected by the target air conditioner and the outdoor environment temperature reference value comprises the following steps:
calculating the difference value between the outdoor environment temperature value detected by the target air conditioner and the outdoor environment temperature reference value;
judging whether the difference value is larger than a second temperature difference threshold value or not;
and if so, judging that the detection of the outdoor environment temperature of the target air conditioner is abnormal.
9. The method of any one of claims 1-8,
after determining that the outdoor ambient temperature detection of the target air conditioner is abnormal, further comprising:
outputting information indicating that detection of the outdoor ambient temperature of the target air conditioner is abnormal to a server.
10. An apparatus for detecting abnormality of an air conditioner, comprising:
a processor; and
a memory storing computer program code;
the computer program code, when executed by the processor, causes the detection apparatus to perform a method of detecting an air conditioning anomaly according to any one of claims 1-9.
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| CN201910927691.2A CN112577154A (en) | 2019-09-27 | 2019-09-27 | Method and device for detecting air conditioner abnormity |
| PCT/CN2020/115970 WO2021057602A1 (en) | 2019-09-27 | 2020-09-17 | Method and apparatus for detecting abnormality of air conditioner |
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| CN113357743A (en) * | 2021-06-21 | 2021-09-07 | 广东美的暖通设备有限公司 | Environment temperature detection method and device, computing equipment and storage medium |
| CN113531786A (en) * | 2021-07-28 | 2021-10-22 | 四川虹美智能科技有限公司 | Temperature module detection method and device |
| CN114216234A (en) * | 2021-11-11 | 2022-03-22 | 青岛海尔空调器有限总公司 | Control method and control system of air conditioner, electronic equipment and storage medium |
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| WO2021057602A1 (en) | 2021-04-01 |
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