CN107341520A - Determination methods, server and the computer-readable recording medium of breakdown of refrigerator - Google Patents

Determination methods, server and the computer-readable recording medium of breakdown of refrigerator Download PDF

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Publication number
CN107341520A
CN107341520A CN201710557717.XA CN201710557717A CN107341520A CN 107341520 A CN107341520 A CN 107341520A CN 201710557717 A CN201710557717 A CN 201710557717A CN 107341520 A CN107341520 A CN 107341520A
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refrigerator
temperature
leakage
server
ratio
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CN107341520B (en
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曾文亮
陈琦
龙榜
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Midea Group Co Ltd
Guangdong Midea White Goods Technology Innovation Center Co Ltd
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Midea Group Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00Subject matter not provided for in other groups of this subclass
    • G01M99/005Testing of complete machines, e.g. washing-machines or mobile phones
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/285Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system

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  • Bioinformatics & Computational Biology (AREA)
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  • Life Sciences & Earth Sciences (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a kind of determination methods of breakdown of refrigerator, refrigerator includes storeroom, evaporator, the first temperature sensor and second temperature sensor.Determination methods include:Obtain multiple first temperature values and the difference of multiple second temperature values and preset temperature value;Multiple first temperature values and multiple differences are handled using support vector machine classifier to judge whether the ratio that leakage of refrigerant failure occurs in refrigerator is more than the first preset ratio;When being more than the first preset ratio with the ratio for occurring leakage of refrigerant failure in refrigerator, judge that leakage of refrigerant failure occurs in refrigerator.In addition, the invention also discloses a kind of server and a kind of computer-readable recording medium.Determination methods, server and the computer-readable recording medium of the present invention judges whether refrigerator leakage of refrigerant failure occurs using support vector machine classifier, so as to help Maintenance Engineer to understand failure cause in advance, spare part is brought all, effectively improves on-site maintenance rate of Maintenance Engineer.

Description

Determination methods, server and the computer-readable recording medium of breakdown of refrigerator
Technical field
The present invention relates to household electrical appliance, more particularly to a kind of determination methods of breakdown of refrigerator, server and computer-readable Storage medium.
Background technology
Conventional refrigerator has been faced with the bottleneck of development at present, and product technology shortage of standard, Market Consumer cognition degree are low With the development that conventional refrigerator is govern the problems such as product price is high, experience is poor, and the ever-increasing new demand of user forces refrigerator Industry makes the transition to intelligent direction.Very big inconvenience will be brought to daily life when household electrical appliance break down, Along with the fast development of household electric appliances, electric appliances service industry also achieves larger progress, but still suffers from Maintenance Engineer Failure cause can not be known in advance, can not bring all spare part situation.Leakage of refrigerant is refrigerator most common failure, and repairing such failure needs Want specific purpose tool such as spare part welding gun, vavuum pump etc., if failure cause can not be known in advance, generally require it is secondary visit, reduce Once visit successfully maintenance rate.
Although current intelligent refrigerator quantity steeply rises, refrigerator intelligent artifact only possesses the failure code of fixed species Upload function, it is impossible to which carrying out fault diagnosis makes Maintenance Engineer's more clear failure reason, and completion, which is once visited, successfully repairs.At present Application of the fault diagnosis on household electrical appliances only possesses persistent fault code, is only limited to sensor fault, it is simple that door opens time-out etc. Failure, there is presently no the online test method for breakdown of refrigeration system especially leakage of refrigerant, it means that refrigerator exists The fault detect of line leakage of refrigerant is very valuable and necessary.
The content of the invention
Embodiments of the present invention provide a kind of determination methods of breakdown of refrigerator, server and computer-readable storage medium Matter.
A kind of determination methods of breakdown of refrigerator of embodiments of the present invention, the refrigerator include storeroom and evaporator, The refrigerator includes being used to detect the first temperature sensor of the first temperature value of the evaporator and for detecting the storage The second temperature sensor of the second temperature value of room, the determination methods include:
Obtain multiple first temperature values and corresponding multiple second temperature values;
Calculate the difference of each the second temperature value and preset temperature value;
Multiple first temperature values and corresponding multiple differences are handled using support vector machine classifier to judge Whether the ratio that leakage of refrigerant failure occurs in the refrigerator is more than the first preset ratio;With
When the ratio that leakage of refrigerant failure occurs in the refrigerator is more than first preset ratio, the refrigerator is judged There is leakage of refrigerant failure.
In some embodiments, the determination methods include:
Using the support vector machine classifier handle multiple first temperature values and corresponding multiple differences with Judge that the refrigerator belongs to the ratios of normal conditions and whether is more than the second preset ratio;With
When the ratio that the refrigerator belongs to normal conditions is more than second preset ratio, judge that the refrigerator belongs to just Reason shape.
In some embodiments, the determination methods include:
Using the support vector machine classifier handle multiple first temperature values and corresponding multiple differences with Judge whether the ratio that other failures occurs in the refrigerator is more than the 3rd preset ratio;With
When the ratio that other failures occurs in the refrigerator is more than three preset ratio, judge that it occurs in the refrigerator His failure.
In some embodiments, it is described to obtain the multiple first temperature value and corresponding multiple second temperature Angle value includes:
Multiple time points in preset duration obtain and cache multiple first temperature values and it is multiple it is described second temperature Angle value.
In some embodiments, the determination methods include:
Acquisition has been marked as the refrigerator and multiple first temperature values corresponding to leakage of refrigerant failure and more occurs The individual difference;
According to have been marked as the refrigerator there is leakage of refrigerant failure corresponding to multiple first temperature values and more The individual difference trains the support vector machine classifier.
In some embodiments, the refrigerator includes being used for the communication module with server communication, and the acquisition is Multiple first temperature values and multiple differences corresponding to leakage of refrigerant failure occur labeled as the refrigerator includes:
Transmitted using the communication module between the refrigerator and the server and have been marked as the refrigerator appearance Multiple first temperature values and multiple differences corresponding to leakage of refrigerant failure.
In some embodiments, the determination methods include:
The conclusion that the refrigerator to leakage of refrigerant failure occurs pushes to default terminal.
In some embodiments, the storeroom includes refrigerating chamber, temperature-changing chamber and refrigerating chamber, and the evaporator includes cold Freeze defrosting evaporator and refrigeration defrosting evaporator, first temperature value includes the first evaporator of the freezing defrosting evaporator Second evaporator temperature values of temperature value and the refrigeration defrosting evaporator, the second temperature value include the of the refrigerating chamber 3rd room temperature angle value of one room temperature angle value, the second Room temperature value of the temperature-changing chamber and the refrigerating chamber.
A kind of server of embodiments of the present invention, it is described for judging whether refrigerator leakage of refrigerant failure occurs Refrigerator includes storeroom and evaporator, and the first temperature that the refrigerator includes being used to detect the first temperature value of the evaporator passes The second temperature sensor of sensor and the second temperature value for detecting the storeroom, the server include:
First acquisition module, first acquisition module are used to obtain multiple first temperature values and corresponding multiple institutes State second temperature value;
Computing module, the computing module are used for the difference for calculating each the second temperature value and preset temperature value;
First processing module, the first processing module are used to utilize support vector machine classifier processing multiple described first Temperature value and corresponding multiple differences are to judge whether the ratio that leakage of refrigerant failure occurs in the refrigerator is more than first Preset ratio;With
First judge module, the ratio that first judge module is used to occur in the refrigerator leakage of refrigerant failure are big When first preset ratio, judge that leakage of refrigerant failure occurs in the refrigerator.
In some embodiments, the server includes:
Second processing module, the Second processing module are used for multiple described using support vector machine classifier processing Whether to be more than second pre- to judge to belong to the ratios of normal conditions by the refrigerator for first temperature value and corresponding multiple differences If ratio;With
Second judge module, second judge module are used to belong to the ratio of normal conditions more than described in the refrigerator During the second preset ratio, judge that the refrigerator belongs to normal conditions.
In some embodiments, the server includes:
3rd processing module, the 3rd processing module are used for multiple described using support vector machine classifier processing Whether to be more than the 3rd pre- to judge the ratios of other failures occur by the refrigerator for first temperature value and corresponding multiple differences If ratio;With
3rd judge module, the ratio that the 3rd judge module is used to other failures occur in the refrigerator are more than described During three preset ratios, judge that other failures occurs in the refrigerator.
In some embodiments, multiple time points that first acquisition module is used in preset duration obtain and delayed Deposit multiple first temperature values and multiple second temperature values.
In some embodiments, the server includes:
Second acquisition module, second acquisition module have been marked as the refrigerator for acquisition and leakage of refrigerant occur Multiple first temperature values and multiple differences corresponding to failure;
Training module, the training module have been marked as the refrigerator for basis and leakage of refrigerant failure occur correspondingly Multiple first temperature values and multiple differences train the support vector machine classifier.
In some embodiments, the refrigerator includes being used for communication module with the server communication, and described second Acquisition module is used to transmit between the refrigerator and the server using the communication module to have been marked as the refrigerator There is multiple first temperature values and multiple differences corresponding to leakage of refrigerant failure.
In some embodiments, the server includes:
Pushing module, the pushing module be used for by the refrigerator occur leakage of refrigerant failure conclusion push to it is default Terminal.
In some embodiments, the storeroom includes refrigerating chamber, temperature-changing chamber and refrigerating chamber, and the evaporator includes cold Freeze defrosting evaporator and refrigeration defrosting evaporator, first temperature value includes the first evaporator of the freezing defrosting evaporator Second evaporator temperature values of temperature value and the refrigeration defrosting evaporator, the second temperature value include the of the refrigerating chamber 3rd room temperature angle value of one room temperature angle value, the second Room temperature value of the temperature-changing chamber and the refrigerating chamber.
A kind of server of embodiments of the present invention, including:
One or more processors;
Memory;And
One or more programs, wherein one or more of programs are stored in the memory, and it is configured By one or more of computing devices, described program is used for the instruction for performing the determination methods.
A kind of computer-readable recording medium of embodiments of the present invention, including the computer being used in combination with server Program, the computer program can be executed by processor to complete the determination methods.
Determination methods, server and the computer-readable recording medium of embodiment of the present invention utilize support vector cassification Device judges whether refrigerator leakage of refrigerant failure occurs, so as to help Maintenance Engineer to understand failure cause in advance, brings all Spare part, effectively improve on-site maintenance rate of Maintenance Engineer.
The additional aspect and advantage of the present invention will be set forth in part in the description, and will partly become from the following description Obtain substantially, or recognized by the practice of the present invention.
Brief description of the drawings
The above-mentioned and/or additional aspect and advantage of the present invention is from combining in description of the accompanying drawings below to embodiment by change Obtain substantially and be readily appreciated that, wherein:
Fig. 1 is the schematic flow sheet of the determination methods of the breakdown of refrigerator of embodiment of the present invention;
Fig. 2 is the refrigerator of embodiment of the present invention and the connection diagram of server;
Fig. 3 is another schematic flow sheet of the determination methods of the breakdown of refrigerator of embodiment of the present invention;
Fig. 4 is the module diagram of the server of embodiment of the present invention;
Fig. 5 is another schematic flow sheet of the determination methods of the breakdown of refrigerator of embodiment of the present invention;
Fig. 6 is another module diagram of the server of embodiment of the present invention;
Fig. 7 is another schematic flow sheet of the determination methods of the breakdown of refrigerator of embodiment of the present invention;
Fig. 8 is another schematic flow sheet of the determination methods of the breakdown of refrigerator of embodiment of the present invention;
Fig. 9 is another module diagram of the server of embodiment of the present invention;
Figure 10 is that the refrigerator of embodiment of the present invention belongs to the first temperature value of normal conditions and the change schematic diagram of difference;
Figure 11 is the first temperature value and the change signal of difference of the appearance leakage of refrigerant failure of embodiment of the present invention Figure;
Figure 12 is another schematic flow sheet of the determination methods of the breakdown of refrigerator of embodiment of the present invention;
Figure 13 is the refrigerator of embodiment of the present invention and another connection diagram of server;
Figure 14 is another schematic flow sheet of the determination methods of the breakdown of refrigerator of embodiment of the present invention;
Figure 15 is another module diagram of the server of embodiment of the present invention;
Figure 16 is another module diagram of the server of embodiment of the present invention;
Figure 17 is the server of embodiment of the present invention and the connection diagram of computer-readable recording medium.
Main element symbol description:
Refrigerator 100, storeroom 110, evaporator 120, the first temperature sensor 130, second temperature sensor 140, communication Module 150, server 200, the first acquisition module 212, computing module 214, first processing module 216, the first judge module 218th, Second processing module 222, the second judge module 224, the 3rd processing module 226, the 3rd judge module 228, second obtain Module 232, training module 234, pushing module 236, processor 240, memory 260, computer-readable recording medium 300.
Embodiment
Embodiments of the present invention are described below in detail, the embodiment of the embodiment is shown in the drawings, wherein Same or similar label represents same or similar element or the element with same or like function from beginning to end.Lead to below It is exemplary to cross the embodiment being described with reference to the drawings, and is only used for explaining the present invention, and it is not intended that to limit of the invention System.
Also referring to Fig. 1 and Fig. 2, the determination methods of embodiment of the present invention can be used for judging whether refrigerator 100 goes out Existing leakage of refrigerant failure.Refrigerator 100 includes storeroom 110 and evaporator 120, and refrigerator 100 includes being used to detect evaporator 120 The first temperature value the first temperature sensor 130 and for detect storeroom 110 second temperature value second temperature sensing Device 140.Determination methods include:
Step S212:Obtain multiple first temperature values and corresponding multiple second temperature values;
Step S214:Calculate the difference of each second temperature value and preset temperature value;
Step S216:Multiple first temperature values and corresponding multiple differences are handled using support vector machine classifier to judge Whether the ratio that leakage of refrigerant failure occurs in refrigerator 100 is more than the first preset ratio;With
Step S218:When the ratio that leakage of refrigerant failure occurs in refrigerator 100 is more than the first preset ratio, refrigerator is judged 100 there is leakage of refrigerant failure.
Referring to Fig. 2, the server 200 of embodiment of the present invention can be used for judging whether refrigerator 100 is made Cryogen reveals failure.Refrigerator 100 includes storeroom 110 and evaporator 120, and refrigerator 100 includes being used for detecting the of evaporator 120 First temperature sensor 130 of one temperature value and the second temperature sensor of the second temperature value for detecting storeroom 110 140.Server 200 includes the first acquisition module 212, computing module 214, the judge module of first processing module 216 and first 218.First acquisition module 212 is used to obtain multiple first temperature values and corresponding multiple second temperature values.Computing module 214 is used In the difference for calculating each second temperature value and preset temperature value.First processing module 216 is used to utilize support vector cassification Device handle multiple first temperature values and corresponding multiple differences with judge refrigerator 100 occur leakage of refrigerant failure ratio whether More than the first preset ratio.The ratio that first judge module 218 is used to leakage of refrigerant failure occur in refrigerator 100 is more than first During preset ratio, judge that leakage of refrigerant failure occurs in refrigerator 100.
In other words, the determination methods of embodiment of the present invention can be realized by the server 200 of embodiment of the present invention, Wherein, step S212 can be realized that step S214 can be realized by computing module 214, step S216 by the first acquisition module 212 It can be realized by first processing module 216, step S218 can be realized by the first judge module 218.
In some embodiments, the determination methods of embodiment of the present invention can also be by the refrigerator of invention embodiment 100 realize, for example, step S212, S214, S216 and S218 can be by data processing equipment (such as processors of refrigerator 100 Deng) realize.
The determination methods and server 200 of embodiment of the present invention judge that refrigerator 100 is using support vector machine classifier It is no leakage of refrigerant failure occur, so as to help Maintenance Engineer to understand failure cause in advance, spare part is brought all, is effectively improved On-site maintenance rate of Maintenance Engineer.
In some embodiments, storeroom 110 includes refrigerating chamber, temperature-changing chamber and refrigerating chamber, and evaporator 120 includes freezing Defrosting evaporator and refrigeration defrosting evaporator, the first temperature value include freezing the first evaporator temperature values of defrosting evaporator and cold Hide the second evaporator temperature values of defrosting evaporator, the first room temperature angle value of second temperature value including refrigerating chamber, the of temperature-changing chamber 3rd room temperature angle value of two room temperature angle value and refrigerating chamber.Refrigerating chamber, temperature-changing chamber and refrigerating chamber refer respectively to the different storage of temperature Room 110, freezing defrosting evaporator and refrigeration defrosting evaporator can be that different storerooms 110 provide low temperature.Need what is illustrated It is that refrigerator 100 includes at least one storeroom 110 and at least one evaporator 120, according to the manufacturer of refrigerator 100 and model Difference, refrigerator 100 can include refrigerating chamber, temperature-changing chamber and refrigerating chamber in it is at least one, i.e., refrigerator 100 include refrigerating chamber or Person's refrigerator 100 include temperature-changing chamber or refrigerator 100 include refrigerating chamber or refrigerator 100 include refrigerating chamber and temperature-changing chamber or Refrigerator 100 includes refrigerating chamber and refrigerating chamber or refrigerator 100 includes temperature-changing chamber and refrigerating chamber or refrigerator 100 and includes freezing Room, temperature-changing chamber and refrigerating chamber.In addition, the quantity for refrigerating chamber, temperature-changing chamber and the refrigerating chamber that refrigerator 100 includes can also be multiple, It is not specifically limited herein.
In some embodiments, multiple storerooms 110 can share an evaporator 120, i.e., an evaporator 120 is more Individual storeroom 110 provides low temperature.Wherein, an evaporator 120 by conductive structure (such as blower fan) by the low temperature of evaporator 120 Multiple storerooms 110 are delivered separately to, so that multiple storerooms 110 may be at different temperature.For example, in storeroom 110 include refrigerating chamber, temperature-changing chamber and refrigerating chamber, cold when evaporator 120 includes freezing defrosting evaporator and refrigeration defrosting evaporator Low temperature can be provided for refrigerating chamber by freezing defrosting evaporator, and refrigeration defrosting evaporator can be respectively that temperature-changing chamber and refrigerating chamber offer are low Temperature.In embodiments of the present invention, storeroom 110 includes refrigerating chamber, temperature-changing chamber and refrigerating chamber, and evaporator 120 includes freezingization White evaporator and refrigeration defrosting evaporator.The quantity of first temperature sensor 130 is two, two the first temperature sensors 130 It is respectively used to the first evaporator temperature values of detection freezing defrosting evaporator and the second evaporator temperature of refrigeration defrosting evaporator Value.The quantity of second temperature sensor 140 is three, and three second temperature sensors 140 can be respectively used to detect refrigerating chamber 3rd room temperature angle value of the first room temperature angle value, the second Room temperature value of temperature-changing chamber and refrigerating chamber.
In some embodiments, the first temperature sensor 130 can be arranged on evaporator 120 and be steamed for detection The temperature value of device 120 is sent out as the first temperature value, second temperature sensor 140 can be arranged in storeroom 110 for The temperature value of storeroom 110 is detected as second temperature value, wherein, storeroom 110, can be with order to ensure larger memory space Slotted in storeroom 110, and second temperature sensor 140 is arranged in groove.
It is appreciated that preset temperature value can refer to the storeroom 110 that user sets or is stored in advance in refrigerator 100 Internal temperature values, refrigerator 100 by caused by evaporator 120 low temperature control storeroom 110 internal temperature values be intended to it is pre- If temperature value.In some embodiments, the internal temperature values of storeroom 100 are regulatable that being set by user to obtain Obtain preset temperature value;In other embodiments, the internal temperature values of storeroom 100 are predeterminable in refrigerator 100 and/or services In device 200.
In some embodiments, SVMs (SVM) grader is a kind of sorting algorithm.Support vector machine classifier It can be preset in server 200 or be trained by a large amount of related datas and be obtained.
In some embodiments, it is leakage of refrigerant failure that the first preset ratio, which is used to erroneous judgement be reduced or avoided,.Need It is noted that the first preset ratio is bigger, erroneous judgement probability is smaller, but can influence the efficiency judged, that is, is difficult to be sentenced Disconnected conclusion;First preset ratio is smaller, and the efficiency of judgement is higher, but the probability of erroneous judgement is bigger.In one embodiment, First preset ratio is 90%.
Referring to Fig. 3, in some embodiments, determination methods include:
Step S222:Multiple first temperature values and corresponding multiple differences are handled using support vector machine classifier to judge Whether the ratio that refrigerator 100 belongs to normal conditions is more than the second preset ratio;With
Step S224:When the ratio that refrigerator 100 belongs to normal conditions is more than the second preset ratio, judge that refrigerator 100 belongs to In normal conditions.
Referring to Fig. 4, in some embodiments, server 200 includes the judge module of Second processing module 222 and second 224.Second processing module 222 is used to handle multiple first temperature values and corresponding multiple differences using support vector machine classifier Whether it is more than the second preset ratio to judge that refrigerator 100 belongs to the ratios of normal conditions.Second judge module 224 is used in refrigerator When 100 ratios for belonging to normal conditions are more than the second preset ratio, judge that refrigerator 100 belongs to normal conditions.
In other words, step S222 can be realized by Second processing module 222, and step S224 can be by the second judge module 224 realize.
So, it can be determined that whether refrigerator 100 belongs to normal conditions.
Specifically, refrigerator 100 belongs to normal conditions and refers to that refrigerator 100 being capable of normal work.Second preset ratio is used to subtract Less or erroneous judgement refrigerator 100 is avoided to belong to normal conditions.It should be noted that the second preset ratio is bigger, erroneous judgement probability is got over It is small, but the efficiency judged can be influenceed, that is, it is difficult to the conclusion judged;Second preset ratio is smaller, and the efficiency of judgement is higher, But the probability of erroneous judgement is bigger.In one embodiment, the second preset ratio is 90%.In addition, the first preset ratio and Two preset ratios can be not specifically limited herein with identical or different.
Referring to Fig. 5, in some embodiments, determination methods include:
Step S226:Multiple first temperature values and corresponding multiple differences are handled using support vector machine classifier to judge Whether the ratio that other failures occurs in refrigerator 100 is more than the 3rd preset ratio;With
Step S228:When the ratio that other failures occurs in refrigerator 100 is more than three preset ratios, judge that refrigerator 100 goes out Other existing failures.
Referring to Fig. 6, in some embodiments, server 200 includes the 3rd processing module 226 and the 3rd judge module 228.3rd processing module 226 is used to handle multiple first temperature values and corresponding multiple differences using support vector machine classifier To judge whether the ratio that other failures occurs in refrigerator 100 is more than the 3rd preset ratio.3rd judge module 228 is used in refrigerator When 100 ratios for other failures occur are more than three preset ratios, judge that other failures occurs in refrigerator 100.
In other words, step S226 can be realized by the 3rd processing module 226, and step S228 can be by the 3rd judge module 228 realize.
So, it can be determined that whether refrigerator 100 other failures occurs.
Specifically, refrigerator 100 occur other failures refer to refrigerator 100 occur in addition to leakage of refrigerant failure other therefore Barrier, other failures include freezing fan trouble, alternating temperature damper faults, electromagnetic valve failure etc..3rd preset ratio is used to reduce Or it is other failures to avoid erroneous judgement.It should be noted that the 3rd preset ratio is bigger, erroneous judgement probability is smaller, but can shadow The efficiency judged is rung, that is, is difficult to the conclusion judged;3rd preset ratio is smaller, and the efficiency of judgement is higher, but erroneous judgement Probability it is bigger.In one embodiment, the 3rd preset ratio is 90%.In addition, the first preset ratio, the second preset ratio and 3rd preset ratio can be not specifically limited herein with identical or different.
In some embodiments, determination methods can determine whether that refrigerator 100 belongs to normal conditions, leakage of refrigerant failure occurs Still there are other failures.
In one embodiment, support vector machine classifier includes three graders, is that refrigerator 100 belongs to positive reason respectively Shape belongs to normal conditions and the grader A2 of other failures occurs with there is the grader A1 of leakage of refrigerant failure, refrigerator 100, There is leakage of refrigerant failure and the grader A3 of other failures occur, every group of temperature Value Data (including the first temperature value and difference Value) it is required for handling by three support vector machine classifiers, judge which kind of feelings belonged to by three support vector machine classifiers Shape, then the final classification of number is most in three kinds of situations situation as data is taken, finally count and judge the ratio of final classification Whether example is more than preset ratio, so as to obtain the situation of refrigerator 100.Such as one group of data after grader A1 by being judged as occurring Leakage of refrigerant failure, by being judged as normal conditions after grader A2, by being judged as that refrigerant occur lets out after grader A3 Reveal failure, due to there is the situation of leakage of refrigerant failure for twice, normal conditions are once other failures do not occur, because The final classification of this this group of data is leakage of refrigerant failure occur.It should be noted that in some embodiments, due to number According to error or there is erroneous judgement, one group of data is respectively gone out by being likely to occur three kinds of situations after three support vector machine classifiers The problem of existing one time, can be by giving up this group of data or being reclassified using SVMs or give up all data (the One temperature value and difference) and solve this problem the methods of reacquire.
The ratio for occurring leakage of refrigerant failure in refrigerator 100 is less than or equal to the first preset ratio, and refrigerator 100 belongs to normal The ratio of situation is less than or equal to the second preset ratio, and the ratio that other failures occurs in refrigerator 100 is less than or equal to the 3rd default ratio During example, the first temperature value and difference and the determination methods for re-executing embodiment of the present invention are reacquired.
Referring to Fig. 7, in some embodiments, step S212 includes:
Step S2122:Multiple time points in preset duration obtain and cache multiple first temperature values and multiple second Temperature value.
Referring to Fig. 2, in some embodiments, the first acquisition module 212 is used for multiple in preset duration Time point obtains and caches multiple first temperature values and multiple second temperature values.
In other words, step S2122 can be realized by the first acquisition module 212.
In this way, server 200 can obtain multiple first temperature values and multiple second temperature values.
It is appreciated that refrigerator 100 can gather multiple first temperature values and multiple second temperature values by temperature sensor, And multiple first temperature values, multiple second temperature values and preset temperature value are uploaded to server 200.Refrigerator 100 can pass through Multiple time points gather multiple first temperature values and multiple second temperature values respectively, and each time point gathers first temperature value With a second temperature value, multiple first temperature values and multiple second temperature values are uploaded to clothes again after then caching preset duration Business device 200;Or refrigerator 100 gathers multiple first temperature values and multiple second temperature values and real-time respectively by multiple time points Server 200 is uploaded to, server 200 is buffered in the temperature Value Data that refrigerator 100 uploads in preset duration, multiple so as to obtain First temperature value and multiple second temperature values.In one embodiment, preset duration is 6 hours, and time point is in preset duration Inside at regular intervals (such as one minute, ten minutes or 30 minutes) corresponding to time point.
Referring to Fig. 8, in some embodiments, determination methods include:
Step S232:Acquisition has been marked as refrigerator 100 and multiple first temperature values corresponding to leakage of refrigerant failure occurs With multiple differences;
Step S234:According to have been marked as refrigerator 100 there is leakage of refrigerant failure corresponding to multiple first temperature values With multiple difference Training Support Vector Machines graders.
Referring to Fig. 9, in some embodiments, server 200 includes the second acquisition module 232 and training module 234. Second acquisition module 232 has been marked as refrigerator 100 for acquisition and multiple first temperature corresponding to leakage of refrigerant failure occurs Value and multiple differences.Training module 234 be used for according to have been marked as refrigerator 100 occur it is multiple corresponding to leakage of refrigerant failure First temperature value and multiple difference Training Support Vector Machines graders.
In other words, step S232 can be realized that step S234 can be by training module 234 by the second acquisition module 232 Realize.
In this way, it can train and obtain support vector machine classifier.
In one embodiment, storeroom 110 includes refrigerating chamber, temperature-changing chamber and refrigerating chamber, and evaporator 120 includes freezingization White evaporator and refrigeration defrosting evaporator, the first temperature value include the first evaporator temperature values T of freezing defrosting evaporatorfdWith it is cold Hide the second evaporator temperature values T of defrosting evaporatorrd, difference includes the first room temperature angle value T of refrigerating chamberfWith presetting for refrigerating chamber Temperature value Tfs, temperature-changing chamber second Room temperature value TcWith the preset temperature value T of temperature-changing chambercs, refrigerating chamber the 3rd room temperature angle value Tr With the preset temperature value T of refrigerating chamberrs.Support vector machine classifier includes three graders, is that refrigerator 100 belongs to positive reason respectively Shape belongs to normal conditions and the grader A2 of other failures occurs with there is the grader A1 of leakage of refrigerant failure, refrigerator 100, There is leakage of refrigerant failure and the grader A3 of other failures occur.It can obtain and have been marked as leakage of refrigerant event occur Barrier, normal conditions, there is multiple first temperature values of other failures and multiple differences, let out using having been marked as refrigerant occur Dew failure and multiple first temperature values of normal conditions and multiple differences trains and obtain grader A1 method and following (train simultaneously It is similar with grader A3 to obtain grader A2).
Input parameter vector x=[Tr-Trs, Tc-Tcs, Tf-Tfs, Tfd, Trd], then it is changed into given training set T={ (x1, y1), (x2, y2) ..., (xN, yN), (xi∈ X=R5, yi∈ Y={+1, -1 }, i=1, wherein 2 ... N, yi=+1 represents normal conditions; yi=-1 represents refrigerant leakage failure.) under to the classification problem of input parameter.Solution procedure is as follows:
Choose appropriate kernel function K (x, z) and (gaussian kernel function is chosen in embodiment of the present invention:K (x, z)=exp (- | | x- z||2/2σ2)) and appropriate parameter C, construct and solve optimization problem
0≤α≤C, i=1,2..., N
Optimal solution α is tried to achieve using sequential minimal optimization (SMO)*=(α1 *2 *,...,αN *).
Select a*A positive component 0<αj *<C, calculate
Construction decision function is classified to input parameter x:
So as to unlabelled data are marked using decision function to obtain the working condition of refrigerator 100.Example Such as, computing is carried out to the first temperature value and difference of input using decision function, (corresponding refrigerator 100 belongs to just so as to obtain+1 Reason shape) and -1 (corresponding refrigerator 100 leakage of refrigerant failure occur) numerical value.
Also referring to Figure 10 and Figure 11, in some embodiments, refrigerator 100 belongs to normal conditions and refrigerant occurs The first temperature value and the numerical value of difference of leakage failure and change are different, can be distinguished using support vector machine classifier Refrigerator 100 belongs to normal conditions and the difference of leakage of refrigerant failure occurs, so as to be carried out to the first temperature value and difference Classification, and then determine the working condition of refrigerator.
Also referring to Figure 12 and Figure 13, refrigerator 100 includes being used for the communication module 150 to communicate with server 200.Step S232 includes:
Step S2322:Transmitted using communication module 150 between refrigerator 100 and server 200 and have been marked as refrigerator 100 there is multiple first temperature values and multiple differences corresponding to leakage of refrigerant failure.
Referring to Figure 13, in some embodiments, refrigerator 100 includes being used for the communication to communicate with server 200 Module 150.Second acquisition module 232 is used to transmit between refrigerator 100 and server 200 using communication module 150 to have marked It is designated as refrigerator 100 and multiple first temperature values and multiple differences corresponding to leakage of refrigerant failure occurs.
In other words, step S2322 can be realized by the second acquisition module 232.
In this way, server 200 can obtain and have been marked as refrigerator 100 and occur multiple corresponding to leakage of refrigerant failure One temperature value and multiple differences.
Specifically, it is determined that after the working condition (normal conditions, leakage of refrigerant failure or other failures) of refrigerator 100, Refrigerator 100 can utilize temperature sensor to gather multiple first temperature values and multiple second temperature values, and pass through communication module 150 Multiple first temperature values and multiple second temperature values are transferred to server 200, server 200 is according to the refrigerator 100 of determination The first temperature value and second temperature value can be marked for working condition, so as to which server 200 can be had been marked as There is multiple first temperature values and multiple differences corresponding to leakage of refrigerant failure in refrigerator 100.In addition, multiple servers 200 it Between can also carry out having been marked as refrigerator 100 multiple first temperature values and multiple differences corresponding to leakage of refrigerant failure occur Mutual transmission, be not specifically limited herein.
In some embodiments, the determination methods of embodiment of the present invention are real by the refrigerator 100 of embodiment of the present invention Now, refrigerator 100 can be obtained from server 200 by communication module 150 has been marked as refrigerator 100 and leakage of refrigerant occurs Multiple first temperature values and multiple differences corresponding to failure, so as to which refrigerator 100 can be made using refrigerator 100 is had been marked as Multiple first temperature values and multiple differences are trained to support vector machine classifier corresponding to cryogen leakage failure.
Figure 14 is referred to, in some embodiments, determination methods include:
Step S236:The conclusion that refrigerator 100 to leakage of refrigerant failure occurs pushes to default terminal.
Figure 15 is referred to, in some embodiments, server 200 includes pushing module 236.Pushing module 236 is used for The conclusion that refrigerator 100 to leakage of refrigerant failure occurs pushes to default terminal.
In other words, step S236 can be realized by pushing module 236.
In this way, default terminal can be pushed in time when leakage of refrigerant failure occurs in refrigerator 100.
Specifically, default terminal can include maintenance relevant departments or the server of company, maintenance personal mobile terminal, It is at least one in the mobile terminal and the grade of refrigerator 100 of user.Default terminal can send prompting after receiving conclusion, preset eventually End can be including at least one in display panel, electroacoustic component (such as loudspeaker) and vibrating elements, i.e., default terminal includes display Panel, either default terminal, which includes electroacoustic component or default terminal, includes vibrating elements, or default terminal includes display surface Plate and electroacoustic component, either default terminal includes display panel and vibrating elements or default terminal includes electroacoustic component and shaken Dynamic element, or default terminal include display panel, electroacoustic component and vibrating elements.Default terminal can by image, word, The modes such as voice, vibrations send prompting, are not specifically limited herein.Server 200 can be for the computer as server, Mobile terminal can be mobile phone, tablet personal computer etc..
Figure 16 is referred to, the server 200 of embodiment of the present invention includes one or more controllers 240, memory 260 And one or more programs.Wherein one or more programs are stored in memory 260, and are configured by one or more Individual controller 240 performs, and program is used for the instruction for performing the determination methods of any of the above-described embodiment of the present invention.
For one of example, program can be used for the instruction for performing following determination methods:
Step S212:Obtain multiple first temperature values and corresponding multiple second temperature values;
Step S214:Calculate the difference of each second temperature value and preset temperature value;
Step S216:Multiple first temperature values and corresponding multiple differences are handled using support vector machine classifier to judge Whether the ratio that leakage of refrigerant failure occurs in refrigerator 100 is more than the first preset ratio;With
Step S218:When the ratio that leakage of refrigerant failure occurs in refrigerator 100 is more than the first preset ratio, refrigerator is judged 100 there is leakage of refrigerant failure.
Figure 17, the computer-readable recording medium 300 of embodiment of the present invention are referred to, including is combined with server 200 The computer program used, computer program can be performed by processor 240 to complete sentencing for any of the above-described embodiment of the invention Disconnected method.
For one of example, computer program can be performed by processor 240 to complete following determination methods:
Step S212:Obtain multiple first temperature values and corresponding multiple second temperature values;
Step S214:Calculate the difference of each second temperature value and preset temperature value;
Step S216:Multiple first temperature values and corresponding multiple differences are handled using support vector machine classifier to judge Whether the ratio that leakage of refrigerant failure occurs in refrigerator 100 is more than the first preset ratio;With
Step S218:When the ratio that leakage of refrigerant failure occurs in refrigerator 100 is more than the first preset ratio, refrigerator is judged 100 there is leakage of refrigerant failure.
It is pointed out that computer-readable recording medium 300 can be the storage medium being built in server 200, It can also be plugged on server 200 storage medium with can plugging.
In the description of embodiments of the present invention, term " first ", " second " are only used for describing purpose, without being understood that To indicate or implying relative importance or the implicit quantity for indicating indicated technical characteristic.Thus, define " first ", One or more feature can be expressed or be implicitly included to the feature of " second ".In embodiments of the present invention In description, " multiple " are meant that two or more, unless otherwise specifically defined.
, it is necessary to illustrate in the description of embodiments of the present invention, unless otherwise clearly defined and limited, term " installation ", " connected ", " connection " should be interpreted broadly, for example, it may be fixedly connected or be detachably connected, or one Connect body;It can be mechanical connection or electrical connection or can mutually communicate;Can be joined directly together, can also lead to Cross intermediary to be indirectly connected, can be connection or the interaction relationship of two elements of two element internals.For ability For the those of ordinary skill in domain, it can understand that above-mentioned term in embodiments of the present invention specific contains as the case may be Justice.
In the description of this specification, reference term " embodiment ", " some embodiments ", " schematically implementation The description of mode ", " example ", " specific example " or " some examples " etc. means the tool with reference to the embodiment or example description Body characteristicses, structure, material or feature are contained at least one embodiment or example of the present invention.In this manual, Identical embodiment or example are not necessarily referring to the schematic representation of above-mentioned term.Moreover, the specific features of description, knot Structure, material or feature can combine in an appropriate manner in any one or more embodiments or example.
Any process or method described otherwise above description in flow chart or herein is construed as, and represents to include Module, fragment or the portion of the code of the executable instruction of one or more the step of being used to realize specific logical function or process Point, and the scope of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discuss suitable Sequence, including according to involved function by it is basic simultaneously in the way of or in the opposite order, carry out perform function, this should be of the invention Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for Instruction execution system, device or equipment (such as computer based system including the system of processing module or other can be from instruction The system of execution system, device or equipment instruction fetch and execute instruction) use, or combine these instruction execution systems, device or Equipment and use.For the purpose of this specification, " computer-readable medium " can be it is any can include, store, communicating, propagating or Transmission program uses for instruction execution system, device or equipment or with reference to these instruction execution systems, device or equipment Device.The more specifically example (non-exhaustive list) of computer-readable medium includes following:With one or more wiring Electrical connection section (electronic installation), portable computer diskette box (magnetic device), random access memory (RAM), read-only storage (ROM), erasable edit read-only storage (EPROM or flash memory), fiber device, and portable optic disk is read-only deposits Reservoir (CDROM).In addition, computer-readable medium, which can even is that, to print the paper of described program thereon or other are suitable Medium, because can then enter edlin, interpretation or if necessary with it for example by carrying out optical scanner to paper or other media His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each several part of embodiments of the present invention can be with hardware, software, firmware or combinations thereof come real It is existing.In the above-described embodiment, multiple steps or method can use storage in memory and by suitable instruction execution system The software or firmware of execution is realized.If for example, being realized with hardware, with another embodiment, ability can be used Any one of following technology known to domain or their combination are realized:With for realizing logic function to data-signal The discrete logic of logic gates, there is the application specific integrated circuit of suitable combinational logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) etc..
Those skilled in the art are appreciated that to realize all or part of step that above-described embodiment method carries Suddenly it is that by program the hardware of correlation can be instructed to complete, described program can be stored in a kind of computer-readable storage medium In matter, the program upon execution, including one or a combination set of the step of embodiment of the method.
In addition, each functional unit in various embodiments of the present invention can be integrated in a processing module, also may be used To be that unit is individually physically present, can also two or more units be integrated in a module.It is above-mentioned integrated Module can both be realized in the form of hardware, can also be realized in the form of software function module.The integrated module If realized in the form of software function module and as independent production marketing or in use, a calculating can also be stored in In machine read/write memory medium.
Storage medium mentioned above can be read-only storage, disk or CD etc..
Although embodiments of the invention have been shown and described above, it is to be understood that above-described embodiment is example Property, it is impossible to limitation of the present invention is interpreted as, one of ordinary skill in the art within the scope of the invention can be to above-mentioned Embodiment is changed, changed, replacing and modification.

Claims (18)

1. a kind of determination methods of breakdown of refrigerator, it is characterised in that the refrigerator includes storeroom and evaporator, the refrigerator bag Include the first temperature sensor of the first temperature value for detecting the evaporator and the second temperature for detecting the storeroom The second temperature sensor of angle value, the determination methods include:
Obtain multiple first temperature values and corresponding multiple second temperature values;
Calculate the difference of each the second temperature value and preset temperature value;
It is described to judge that multiple first temperature values and corresponding multiple differences are handled using support vector machine classifier Whether the ratio that leakage of refrigerant failure occurs in refrigerator is more than the first preset ratio;With
When the ratio that leakage of refrigerant failure occurs in the refrigerator is more than first preset ratio, judge that the refrigerator occurs Leakage of refrigerant failure.
2. determination methods as claimed in claim 1, it is characterised in that the determination methods include:
Multiple first temperature values and corresponding multiple differences are handled using the support vector machine classifier to judge Whether the ratio that the refrigerator belongs to normal conditions is more than the second preset ratio;With
When the ratio that the refrigerator belongs to normal conditions is more than second preset ratio, judge that the refrigerator belongs to positive reason Shape.
3. determination methods as claimed in claim 1 or 2, it is characterised in that the determination methods include:
Multiple first temperature values and corresponding multiple differences are handled using the support vector machine classifier to judge Whether the ratio that other failures occurs in the refrigerator is more than the 3rd preset ratio;With
When the ratio that other failures occurs in the refrigerator is more than three preset ratio, judge that other events occurs in the refrigerator Barrier.
4. determination methods as claimed in claim 1, it is characterised in that the multiple first temperature value and right of obtaining The multiple second temperature values answered include:
Multiple time points in preset duration obtain and cache multiple first temperature values and multiple second temperature values.
5. determination methods as claimed in claim 1, it is characterised in that the determination methods include:
Acquisition has been marked as the refrigerator and multiple first temperature values and multiple institutes corresponding to leakage of refrigerant failure occurs State difference;
According to have been marked as the refrigerator there is leakage of refrigerant failure corresponding to multiple first temperature values and multiple institutes State difference and train the support vector machine classifier.
6. determination methods as claimed in claim 5, it is characterised in that the refrigerator includes being used for the communication with server communication Module, the acquisition have been marked as the refrigerator and multiple first temperature values corresponding to leakage of refrigerant failure and more occur The individual difference includes:
Transmitted using the communication module between the refrigerator and the server and have been marked as the refrigerator and freeze Multiple first temperature values and multiple differences corresponding to agent leakage failure.
7. determination methods as claimed in claim 1, it is characterised in that the determination methods include:
The conclusion that the refrigerator to leakage of refrigerant failure occurs pushes to default terminal.
8. determination methods as claimed in claim 1, it is characterised in that the storeroom includes refrigerating chamber, temperature-changing chamber and refrigeration Room, the evaporator include freezing defrosting evaporator and refrigeration defrosting evaporator, and first temperature value includes the freezingization Second evaporator temperature values of the first evaporator temperature values of white evaporator and the refrigeration defrosting evaporator, the second temperature Value includes the first room temperature angle value, the second Room temperature value of the temperature-changing chamber and the 3rd room temperature of the refrigerating chamber of the refrigerating chamber Angle value.
9. a kind of server, for judging whether refrigerator leakage of refrigerant failure occurs, it is characterised in that the refrigerator includes storage Room and evaporator are hidden, the refrigerator includes being used to detect the first temperature sensor of the first temperature value of the evaporator and is used for The second temperature sensor of the second temperature value of the storeroom is detected, the server includes:
First acquisition module, first acquisition module are used to obtain multiple first temperature values and corresponding multiple described the Two temperature values;
Computing module, the computing module are used for the difference for calculating each the second temperature value and preset temperature value;
First processing module, the first processing module are used to handle multiple first temperature using support vector machine classifier Whether to be more than first default to judge the ratio of leakage of refrigerant failure occur by the refrigerator for value and corresponding multiple differences Ratio;With
First judge module, the ratio that first judge module is used to occur leakage of refrigerant failure in the refrigerator are more than institute When stating the first preset ratio, judge that leakage of refrigerant failure occurs in the refrigerator.
10. server as claimed in claim 9, it is characterised in that the server includes:
Second processing module, the Second processing module are used to utilize support vector machine classifier processing multiple described first Whether temperature value and corresponding multiple differences are more than the second default ratio to judge that the refrigerator belongs to the ratios of normal conditions Example;With
Second judge module, the ratio that second judge module is used to belong in the refrigerator normal conditions are more than described second During preset ratio, judge that the refrigerator belongs to normal conditions.
11. the server as described in claim 9 or 10, it is characterised in that the server includes:
3rd processing module, the 3rd processing module are used to utilize support vector machine classifier processing multiple described first Temperature value and corresponding multiple differences are to judge whether the ratio that other failures occurs in the refrigerator is more than the 3rd default ratio Example;With
3rd judge module, the ratio that the 3rd judge module is used to other failures occur in the refrigerator are more than the described 3rd During preset ratio, judge that other failures occurs in the refrigerator.
12. server as claimed in claim 9, it is characterised in that first acquisition module is used in preset duration Multiple time points obtain and cache multiple first temperature values and multiple second temperature values.
13. server as claimed in claim 9, it is characterised in that the server includes:
Second acquisition module, second acquisition module have been marked as the refrigerator for acquisition and leakage of refrigerant failure occur Corresponding multiple first temperature values and multiple differences;
Training module, the training module be used for according to have been marked as the refrigerator occur it is more corresponding to leakage of refrigerant failure Individual first temperature value and multiple differences train the support vector machine classifier.
14. server as claimed in claim 13, it is characterised in that the refrigerator includes being used for and the server communication Communication module, second acquisition module are used to transmit between the refrigerator and the server using the communication module It is marked as the refrigerator and multiple first temperature values and multiple differences corresponding to leakage of refrigerant failure occurs.
15. server as claimed in claim 9, it is characterised in that the server includes:
Pushing module, the pushing module, which is used to push to the conclusion that leakage of refrigerant failure occurs in the refrigerator, to be preset eventually End.
16. server as claimed in claim 9, it is characterised in that the storeroom includes refrigerating chamber, temperature-changing chamber and refrigeration Room, the evaporator include freezing defrosting evaporator and refrigeration defrosting evaporator, and first temperature value includes the freezingization Second evaporator temperature values of the first evaporator temperature values of white evaporator and the refrigeration defrosting evaporator, the second temperature Value includes the first room temperature angle value, the second Room temperature value of the temperature-changing chamber and the 3rd room temperature of the refrigerating chamber of the refrigerating chamber Angle value.
A kind of 17. server, it is characterised in that including:
One or more processors;
Memory;And
One or more programs, wherein one or more of programs are stored in the memory, and it is configured by institute One or more processors execution is stated, described program is used for the finger that perform claim requires the determination methods described in 1-8 any one Order.
18. a kind of computer-readable recording medium, it is characterised in that including the computer program being used in combination with server, institute Stating computer program can be executed by processor to complete the determination methods described in claim 1-8 any one.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110870676A (en) * 2018-09-03 2020-03-10 佛山市顺德区美的电热电器制造有限公司 Operation control method, device, cooking appliance and computer readable storage medium
CN113531981A (en) * 2021-07-20 2021-10-22 四川虹美智能科技有限公司 Refrigerator refrigeration abnormity detection method and device based on big data

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4220010A (en) * 1978-12-07 1980-09-02 Honeywell Inc. Loss of refrigerant and/or high discharge temperature protection for heat pumps
US4232530A (en) * 1979-07-12 1980-11-11 Honeywell Inc. Heat pump system compressor start fault detector
JPH07234048A (en) * 1994-02-23 1995-09-05 Sanyo Electric Co Ltd Trouble diagnostic system for absorption type water cooling and heating machine
CN1967077A (en) * 2005-10-26 2007-05-23 韩国energy技术研究院 Method of classified rule-based fault detection and diagnosis in air-handling system
CN101258499A (en) * 2005-02-16 2008-09-03 东京毅力科创株式会社 Fault detection and classification (FDC) using a run-to-run controller
JP2009250554A (en) * 2008-04-09 2009-10-29 Daikin Ind Ltd Refrigerating device
WO2010007448A1 (en) * 2008-07-14 2010-01-21 Theodoros Efthymiou Automatic refrigerant leak detection system of indirect means for use on cooling and refrigeration units installed on vehicles and other transportation means.
CN102147142A (en) * 2010-02-08 2011-08-10 Lg电子株式会社 Air conditioner and method for controlling air conditioner
CN103823461A (en) * 2014-02-28 2014-05-28 南京工业大学 Industrial circulating water concentration multiple acquisition system capable of conducting online fault diagnosis
CN205593234U (en) * 2016-04-18 2016-09-21 安徽机电职业技术学院 Vehicle air conditioner refrigerating system trouble monitoring device

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4220010A (en) * 1978-12-07 1980-09-02 Honeywell Inc. Loss of refrigerant and/or high discharge temperature protection for heat pumps
US4232530A (en) * 1979-07-12 1980-11-11 Honeywell Inc. Heat pump system compressor start fault detector
JPH07234048A (en) * 1994-02-23 1995-09-05 Sanyo Electric Co Ltd Trouble diagnostic system for absorption type water cooling and heating machine
CN101258499A (en) * 2005-02-16 2008-09-03 东京毅力科创株式会社 Fault detection and classification (FDC) using a run-to-run controller
CN1967077A (en) * 2005-10-26 2007-05-23 韩国energy技术研究院 Method of classified rule-based fault detection and diagnosis in air-handling system
JP2009250554A (en) * 2008-04-09 2009-10-29 Daikin Ind Ltd Refrigerating device
WO2010007448A1 (en) * 2008-07-14 2010-01-21 Theodoros Efthymiou Automatic refrigerant leak detection system of indirect means for use on cooling and refrigeration units installed on vehicles and other transportation means.
CN102147142A (en) * 2010-02-08 2011-08-10 Lg电子株式会社 Air conditioner and method for controlling air conditioner
CN103823461A (en) * 2014-02-28 2014-05-28 南京工业大学 Industrial circulating water concentration multiple acquisition system capable of conducting online fault diagnosis
CN205593234U (en) * 2016-04-18 2016-09-21 安徽机电职业技术学院 Vehicle air conditioner refrigerating system trouble monitoring device

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110870676A (en) * 2018-09-03 2020-03-10 佛山市顺德区美的电热电器制造有限公司 Operation control method, device, cooking appliance and computer readable storage medium
CN113531981A (en) * 2021-07-20 2021-10-22 四川虹美智能科技有限公司 Refrigerator refrigeration abnormity detection method and device based on big data
CN113531981B (en) * 2021-07-20 2022-08-02 四川虹美智能科技有限公司 Refrigerator refrigeration abnormity detection method and device based on big data

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