Running state of air conditioner detection method and system
Technical field
The present invention relates to air-conditioning technical field, and in particular to a kind of running state of air conditioner detection method and system.
Background technology
After air-conditioning is installed to client's family use, its after-sale service be all based on client to air-conditioning failure report for repairment mode into
OK, active of this after-sale service based on client starts, what the mode that after-sale service department passively performs carried out;But client is inadequate
Specialty, can only feed back the phenomenon of the failure of operation of air conditioner, this makes personnel after sale that abort situation and type can not be accurately positioned, it is necessary to sell
Afterwards personnel first upper client there check and definite abort situation and type after, upper client there carries out maintenance again, it is this after sale
Service steps are cumbersome and efficiency is low, reduce client's usage experience, also reduce the quality of after-sale service.
In the prior art, there is a kind of air-conditioning troublshooting system, which can realize the initiative of after-sale service;
Specifically, be to make to realize interconnection between air-conditioning and after-sale service system, after user starts air-conditioning self-check program, after-sale service system
System obtains the running state parameter of air-conditioning, and the parameter based on acquisition judges failure existing for air-conditioning, is judging air-conditioning in the presence of event
After barrier, client is notified in a manner of alarm, and provides fault solution for client or arranges after-sales maintenance service.
It is above-mentioned in the prior art, although after-sale service system can be sentenced by obtaining the forms of air conditioner operation parameters online
Disconnected air-conditioning failure that may be present, and after-sale service is arranged in time, the startup of after-sale service is changed into actively from passive, but it is this
There is also following problem for mode:Client can only have found the misoperation of air-conditioning after failure generation, and start self-check program wait
After-sales service personnel, which visit, carries out maintenance air-conditioning, and waiting time air-conditioning can not normal use, used it reduce client empty
The experience of tune.
The content of the invention
The embodiment of the present application can be based on operation of air conditioner shape by providing a kind of running state of air conditioner detection method and system
State parameter, find in time potential generation or imminent air-conditioning failure so that personnel can break down in air-conditioning after sale
Expansion after-sale service in time before, improves the experience that client uses air-conditioning, also improves the quality of after-sale service.
In order to solve the above technical problems, the embodiment of the present application is achieved using following technical scheme:
It is proposed a kind of running state of air conditioner detection method, comprise the following steps:Obtain air-conditioning the machine current operating parameter;Obtain
Air-conditioning local reference operating parameter is taken, the average operating parameter of air-conditioning the machine in a cycle, and be divided into a cycle same
The multimachine Mean Parameters of the average operating parameter of more air-conditionings of platform;Run with reference to the current operating parameter, the benchmark
Parameter, the average operating parameter and the multimachine Mean Parameters, the operating status of air-conditioning the machine is judged based on judgment models;Base
In the operating status of running state analysis air-conditioning the machine of judgement.
It is proposed a kind of running state of air conditioner detecting system, including the after-sale service system of interconnection and air-conditioning the machine;It is described to sell
Service system obtains the current operating parameter of described air-conditioning the machine afterwards;And obtain air-conditioning local reference operating parameter, in a cycle
The average operating parameter of described air-conditioning the machine, and the average operating parameter of more air-conditionings of same platform is divided into a cycle
Multimachine Mean Parameters;With reference to the current operating parameter, the benchmark operating parameter, the average operating parameter and described more
Machine Mean Parameters, the operating status of described air-conditioning the machine is judged based on judgment models;Based on described in the running state analysis of judgement
The operating status of air-conditioning the machine;Wherein, more air-conditionings for being divided into same platform are all interconnected with the after-sale service system.
Compared with prior art, technical solution provided by the embodiments of the present application, the technique effect or advantage having are:This Shen
Please be in embodiment the running state of air conditioner detection method and system that propose, after-sale service system obtains the current operation of air-conditioning the machine
Parameter, benchmark operating parameter, the average operating parameter in a cycle, and more air-conditionings of same platform are divided into a cycle
Average operating parameter multimachine Mean Parameters, with reference to above-mentioned parameter, the operating status of air-conditioning the machine is judged using judgment models,
Wherein, benchmark operating parameter and average operating parameter can characterize the stable state of air-conditioning the machine normal operation, and multimachine average
Parameter can characterize the stable state of air-conditioning normal operation from big data, therefore in the judgment models based on these parameters, ought
Preceding operating parameter and these parameters relatively after, the currently running state of air-conditioning or trend can be judged, e.g. in normal
In the range of trend, it is in the range of fault trend, if in the range of fault trend, after-sale service system can basis
Judging result provides after-sale service for client in time, just safeguards air-conditioning to optimal working status before the generation of air-conditioning failure, no
Air-conditioning is repaired again after must waiting until air-conditioning failure, and would not occur can not in client's wait period of on-site maintenance air-conditioning after sale yet
Using the situation of air-conditioning, this improves the usage experience of user, while also improves the quality of air-conditioning after-sale service.
Brief description of the drawings
Fig. 1 is the running state of air conditioner detection method flow chart that the embodiment of the present application proposes;
Fig. 2 is the curve map of the historical data trend analysis judgment models of unit operation parameter in the embodiment of the present application;
Fig. 3 is the method flow diagram that after-sale service is provided in the embodiment of the present application;
Fig. 4 is the running state of air conditioner detecting system frame diagram that the embodiment of the present application proposes.
Embodiment
The embodiment of the present application can be based on operation of air conditioner shape by providing a kind of running state of air conditioner detection method and system
State parameter, find in time potential generation or imminent air-conditioning failure so that personnel can break down in air-conditioning after sale
Expansion after-sale service in time before, it is not necessary to just provide after-sales maintenance service for client after air-conditioning breaks down, be client
Save failure occur after etc. step to be repaired, enable a customer to use air-conditioning at any time according to demand, raising client use air-conditioning
Experience, also improve the quality of after-sale service.
Since client to operation of air conditioner and does not know about, in the prior art, client reports startup for repairment after air-conditioning failure and takes after sale
During program of being engaged in, the phenomenon of air-conditioning failure can only be provided to after-sale service side, the information content that after-sale service side obtains is seldom, it is difficult to from
Air-conditioning location of fault and reason are accurately positioned in repairing information so that after-sale service side at least needs client there twice
Maintenance can be completed, client can not use air-conditioning during this section;The embodiment of the present application propose running state of air conditioner detection method and
The thinking of system is, there is provided a kind of mode, can make after-sale service system provide after-sale service before air-conditioning breaks down,
Operation of air conditioner is safeguarded in normal condition, avoids the generation repaired again after air-conditioning failure, ensures client's normal use air-conditioning all the time;
That is, by by air-conditioning current operating parameter compared with it can characterize the parameter of air-conditioning normal operation, or to one section of air-conditioning
The parameter of operation does analysis of trend in duration, knows air-conditioning current operating conditions, from running state analysis go out air-conditioning whether from
In abnormal operating state or whether tend to break down, implement after-sale service before this, avoid row maintenance again after failure,
Ensure that client can use air-conditioning at any time.
In order to better understand the above technical scheme, in conjunction with appended figures and specific embodiments, it is right
Above-mentioned technical proposal is described in detail.
As shown in Figure 1, the running state of air conditioner detection method proposed for the embodiment of the present application, comprises the following steps:
Step S11:Obtain air-conditioning the machine current operating parameter.
Operating status of the present invention include but not limited to air-conditioning normal operating condition, air-conditioning inferior health operating status and
Air-conditioning failure etc.;Inferior health operating status is often referred to, and from the point of view of amateur angle, air-conditioning is also in normal operation, but actual overhead
The operating parameter of tune has occurred and that change, tends to break down, reuses the state that will be broken down after a period of time.
In the embodiment of the present application, it is unfolded mainly for after sub-health state is judged, but is not limited to be directed to inferior health shape
State, after judging to be out of order, equally can start after-sale service in time according to parameter failure judgement reason.
Know the operating status of air-conditioning, it is necessary first to obtain air-conditioning the machine current operating parameter, this is due to air-conditioning the machine
The after-sale service system of interconnection obtains.
Here after-sale service system, the purport that as the above is pointed out before the failure occurs obtain by (including breaking down)
Know running state of air conditioner, the system that after-sale service is provided according to operating status in time;Action getparms can be according to predetermined
Frequency carries out, such as the duration of one day, one week or user's sets itself.
Step S12:Acquisition air-conditioning local reference operating parameter, the average operating parameter of air-conditioning the machine in a cycle, and
The multimachine Mean Parameters of the average operating parameter of more air-conditionings of same platform are divided into one cycle.
Step S12 and step S11 does not have point of stringent priority on execution sequence, includes performing at the same time yet.
Ginseng in current operating parameter referred herein, benchmark operating parameter, average operating parameter and multimachine Mean Parameters
Several classes of types include data class parameter and indirect data class parameter, and classify according to frequency changer and constant speed machine;Wherein, the number of frequency changer
Include target exhaust temperature T_obj, actual exhaust air temperature Td, electric current I, outdoor coil temperature T according to class parameterExternal disk, indoor coil temperature
Spend TInner disc, expansion valve (EEV) aperture, targeted compression unit frequency F_obj, actual compression unit frequency FCurrently, indoor environment temperature T_in
And/or outdoor environment temperature T_out;The indirect data class parameter of frequency changer includes discharge superheat DSH, indoor heat transfer temperature difference Δ
Tin, outdoor heat exchange temperature difference Tout, setting temperature difference E and/or difference DELTA F=F_obj-F of target frequency and current frequencyCurrently;
The data class parameter of constant speed machine includes electric current I, indoor coil pipe TInner discAnd/or indoor environment temperature T_in;Constant speed machine it is indirect
Data class parameter includes interior heat transfer temperature difference Δ Tin and/or setting temperature difference E.
And in the embodiment of the present application, except needing to obtain above-mentioned data class parameter and indirect data class parameter, to make to sentence
It is disconnected more accurate, also obtain such as following table one and the data in table two:
Table one
Table two
Wherein, DSH=Td-T during refrigerationExternal disk, DSH=Td-T during heatingInner disc;Δ Tin=T_in-T during refrigerationInner disc, during heating
Δ Tin=TInner disc-T_in;Δ Tout=T during refrigerationExternal disk- T_out, Δ Tout=T_out-T during heatingExternal disk;E=T_ during refrigeration
in-TSetting, E=T during heatingSetting-T_in。
Since the parameter of operation of air conditioner is when outdoor environment temperature is different, have differences, therefore, preferably to ensure this Shen
Please the accuracy of detection method that proposes of embodiment, the data that will be got, with outdoor environment real time temperature or it is local in real time
Weather forecast temperature, according to refrigeration, heating season, multiple warm areas are divided into by outdoor environment temperature, and by above-mentioned parameter according to
Multiple warm areas are divided into different warm areas, such as shown in table 3 and table 4:
The refrigeration outdoor environment temperature subregion of table three, 18 DEG C -43 DEG C of temperature range
T_out is grouped |
18-25 |
26-31 |
32-38 |
39-43 |
Table four heats outdoor environment temperature subregion, -24 DEG C of temperature range -7 DEG C
T_out is grouped |
-7-0 |
1-7 |
8-15 |
16-24 |
Air-conditioning local reference operating parameter, after referring to that air-conditioning is installed to customer, operation first is freezed or is examined when heating
The operating parameter measured.Specifically, after operation of air conditioner stabilization, obtain several times, after casting out invalid data, obtain N1 groups ginseng
Number, N1 are more than or equal to 1, final benchmark operating parameter are obtained after then the N1 group parameters of acquisition are averaged.
The average operating parameter of air-conditioning the machine, refers in some cycles in one cycle, the sky that the every workday is got
Adjust the parameter of the machine to carry out mathematic(al) mean, draw the average operating parameter in the cycle;Here a cycle includes at least one
Working day, every workday at least gather a data.
Multimachine Mean Parameters, refer to the mathematical mean of the average operating parameter for more air-conditionings for being divided into same platform.
Refer to platform and belong to same type or the configuration air-conditioning identical with performance.Here the concept of a big data is implied, i.e.,
After-sale service system is provided with classification in its internal system, and the more air-conditionings detected are classified according to platform, and records and unite
All operating parameters of same platform air-conditioning are counted, are just able to calculate multimachine average.
Step S13:With reference to current operating parameter, benchmark operating parameter, average operating parameter and multimachine Mean Parameters, it is based on
Judgment models judge the operating status of air-conditioning the machine.
Step S14:The operating status of running state analysis air-conditioning the machine based on judgement.
Benchmark operating parameter, from its definition, the parameter gathered when it is after air-conditioning installation first, therefore substantially can
Characterize air-conditioning normal operating condition;And the benchmark operating parameter can with factory-set value come instead of using.
Average operating parameter, is the average that multiple data are gathered within a cycle, also being capable of table in allowable range of error
Levy air-conditioning normal operating condition.
Multimachine Mean Parameters, are the average with platform multimachine data, since the air-conditioning probability to break down in multimachine is relatively low,
It can also characterize air-conditioning normal operating condition.
Therefore, using judgment models, by current operating parameter compared with above-mentioned three kinds of parameters during judgement, if judging knot
There is the deviation beyond allowed band in fruit, then illustrates that air-conditioning the machine has the trend or possibility to break down.
Judgment models include:1st, unit current operating parameter multilevel iudge model;2nd, unit current operating parameter and the machine
The multilevel iudge model of benchmark operating parameter;3rd, unit current operating parameter and multimachine Mean Parameters multilevel iudge model;And/or
3rd, the historical data trend analysis judgment models of unit operation parameter.
Wherein, unit current operating parameter multilevel iudge model, including the current operating parameter of air-conditioning the machine are closed with coupling
The multilevel iudge of connection value;Unit current operating parameter and the multilevel iudge model of local reference operating parameter, including air-conditioning the machine
Current operating parameter and benchmark operating parameter multilevel iudge;Unit current operating parameter and multimachine mean data multilevel iudge
Model, including air-conditioning the machine current operating parameter and the multilevel iudge of multimachine average;The historical data trend of unit operation parameter
Judgment models are analyzed, are the trend curve analysis that operating parameter is formed on a timeline that is averaged air-conditioning the machine multicycle;Here
Relating value is coupled, refers to some reference values or the threshold value depending on practical situations either empirical value.
Unit current operating parameter and the multilevel iudge for coupling relating value, can characterize the currently running shape of air-conditioning the machine
State, if multilevel iudge is the result shows that it is current to characterize air-conditioning the machine in the range of coupling relating value defines for current operating parameter
Operating status is normal, if beyond coupling relating value confining spectrum, characterization air-conditioning the machine operating status be in it is improper or
Person's non-optimal conditions, after-sale service system can analyze the order of severity of abnormal running according to the size of error, for difference
Degree implement different after-sale service.
The multilevel iudge of unit current operating parameter and local reference operating parameter is as a result, it is possible to which to characterize air-conditioning the machine current
The state of operation, if multilevel iudge the result shows that current operating parameter and benchmark operating parameter in allowable range of error, table
It is normal to levy air-conditioning the machine current operating conditions, if multilevel iudge is the result shows that current operating parameter exceeds mistake with benchmark operating parameter
Poor allowed band, then illustrate that the operating status of air-conditioning the machine is in improper or non-optimal conditions, and after-sale service system can be with
The order of severity of abnormal running is analyzed according to the size of error, implements different after-sale services for different degree.
Unit current operating parameter and the multilevel iudge of multimachine Mean Parameters are currently run as a result, it is possible to characterize air-conditioning the machine
State, if multilevel iudge the result shows that current operating parameter and multimachine Mean Parameters in allowable range of error, characterization is empty
Adjust the machine current operating conditions normal, if multilevel iudge is the result shows that current operating parameter is permitted with multimachine Mean Parameters beyond error
Perhaps scope, then illustrate that the operating status of air-conditioning the machine is in improper or non-optimal conditions, after-sale service system can basis
The order of severity of the size analysis abnormal running of error, implements different after-sale services for different degree.
The historical data trend analysis judgment models of unit operation parameter, refering to what is shown in Fig. 2, being put down for air-conditioning the machine multicycle
The one embodiment for the trend curve analysis that equal operating parameter is formed on a timeline;Table is come with the historical operating parameter of electric current I
Levy the situation of refrigerant leakage.It is assumed that a cycle is 5 working days, then on 50 workaday time shafts, 10 cycles
Average operating parameter, or 50 workaday historical operating parameters form trend curve on a timeline, then from curve
Change can be inferred that the state of air-conditioning the machine operation, if curve conversion is gentle, either be all located at average operating parameter or more
When below machine average, illustrate air-conditioning the machine normal operation, if the trend for significantly decaying or increasing is presented in curve conversion,
Illustrate the operation of air-conditioning the machine there are potential problems, namely there is the trend and possibility to break down.
The method of above-mentioned judgment models statement can be combined with each other according to actual conditions in a particular application, or do details
Increase and decrease in judgement, but do not depart from the thought of the embodiment of the present application proposition.
When after-sale service system judges that the operating status of air-conditioning is abnormal according to the data and judgment models of acquisition,
After-sale service can be arranged to be safeguarded to customer to air-conditioning in time, ensure that air-conditioning operates in optimal or normal operation all the time
State, avoids the generation of failure, also avoids just to carry out maintenance after air-conditioning failure and delay client's normal use air-conditioning
Phenomenon occurs, this significantly improves the experience sense that client uses air-conditioning, also improves the quality of after-sale service.Especially in air-conditioning
Concentrate frequently during use, such as hot summer, if air-conditioning breaks down, in period to be repaired is waited, client cannot
The consequence for bringing experience sense to reduce using air-conditioning, also, concentrated frequently during use in air-conditioning, the possibility that air-conditioning breaks down
Property also increases, and the probability reported for repairment also raises, which increase the intensity of after-sale service, if after-sale service department's personnel placement is not opened,
Cannot meet the needs of client's on-call maintenance, client can be caused to be discontented with, reduce the quality of after-sale service;Implemented using the application
The method that example proposes, can predict the trend and possibility of failure generation before the failure occurs, so as to occur in failure
It is preceding that after-sales service is implemented to air-conditioning, avoid the generation of air-conditioning failure.
The running state of air conditioner detection method that the embodiment of the present application proposes, further includes step S15:If operating status shows sky
When adjusting the machine has the possibility or trend to break down, warning information is sent.
After-sale service system judge air-conditioning there is a possibility that to break down or with break down trend when,
Warning information can be sent to customer, such as be sent on the client terminal of customer, including but not limited to computer, shifting
Dynamic terminal etc., informs that customer trouble will occur and provide solution.Here warning information refer to alarm, maintenance suggest or
After-sale service application etc..Such as while alarm is sent, provide maintenance suggestion for client or send after-sale service application, if
Client's selection receives after-sale service application, then client terminal can be used to send the information accepted applications to after-sale service system,
Then after-sale service system is according to the confirmation format after-sales maintenance service of client.Here maintenance suggestion can also include client
The method of self-maintain and suggestion, such as when the situation that filter screen dirtying blocks up occurs, user can voluntarily be cleared up, without selling
Service department arranges special maintenance service afterwards.
It is above-mentioned, before running state of air conditioner is judged based on judgment models, the freeze protection of air-conditioning the machine can also be obtained
Property count, flag bit count and/or disorderly closedown protection count etc. information, based on judgment models judging air-conditioning current season volume transport
During row state, these technical information are can be combined with to carry out.
Detection to running state of air conditioner is divided into the detection to refrigeration mode and the detection to heating mode, and air-conditioning is divided into
Convertible frequency air-conditioner and constant speed air-conditioning two types;In the following, the embodiment of the present application is proposed for two specific judgment models embodiments
Running state of air conditioner detection method be described in detail.
Embodiment one
Refrigerating of convertible frequency air conditioner pattern, filter screen dirtying or evaporator block up judgment models:
During refrigerating operaton, Tin >=T_cool_1 DEG C of Δ, and during freeze protection counting >=1, while meet all following
Part, judges that indoor filter screen or evaporator are dirty stifled:
Condition 1:T_in≥T_cool_2℃;- unit current operating parameter and the multilevel iudge for coupling relating value
Condition 2:DSH≤DSH_cool_1℃;- unit current operating parameter and the multilevel iudge for coupling relating value
Condition 3:ΔTinAverage i-ΔTinLocal reference≥T_cool_3℃;- unit current operating parameter is run with local reference
The multilevel iudge of parameter, wherein, i is that current period sorts in periodic sequence.
Embodiment two
Refrigerating of convertible frequency air conditioner pattern, refrigerant leakage judgment models:
Meet following either condition, judge that refrigerant leakage is in the less stage:
ΔTinAverage i+1-ΔTinAverage i≥ΔTinAverage i-ΔTinAverage i-1>=T_cool_4 DEG C, continuous tendency change occurs,
And DSH >=DSH_cool_2 DEG C;The historical data trend analysis of-unit operation parameter judges
ΔTinAverage i+1-ΔTinLocal reference>=T_cool_5 DEG C, a certain amount of change, and DSH >=DSH_cool_ occur for data
2℃;- unit current operating parameter and the multilevel iudge of local reference operating parameter
ΔTinAverage-ΔTinMultimachine average>=T_cool_5 DEG C, and DSH >=DSH_cool_2 DEG C;- unit data and multimachine average
The multilevel iudge of parameter
Meet following either condition, judge that refrigerant leakage is in the medium stage:
ΔTinAverage i+1-ΔTinLocal reference>=T_cool_6 DEG C, a certain amount of change, and DSH >=DSH_cool_ occur for data
3℃;The historical data trend analysis of-unit operation parameter judges
ΔTinAverage-ΔTinMultimachine average>=T_cool_6 DEG C, and DSH >=DSH_cool_3 DEG C;- unit data and multimachine average
The multilevel iudge of parameter
Meet following either condition, judge that refrigerant leakage is in severe stage:
ΔTinAverage i+1-ΔTinAverage i≤ΔTinAverage i-ΔTinAverage i-1≤ T_cool_7 DEG C, continuous tendency change occurs,
And DSH >=DSH_cool_4 DEG C;The historical data trend analysis of-unit operation parameter judges
ΔTinAverage i+1-ΔTinLocal reference≤ T_cool_8 DEG C, and DSH >=DSH_cool_4 DEG C;- unit current operating parameter
With the multilevel iudge of local reference operating parameter
ΔTinAverage-ΔTinMultimachine average≤ T_cool_8 DEG C, and DSH >=DSH_cool_4 DEG C;- unit data and multimachine average
The multilevel iudge of parameter
Meet following either condition, judge the refrigerant leakage almost stage:
ΔTinAverage i+1-ΔTinLocal reference≤ T_cool_9 DEG C, and DSH >=DSH_cool_5 DEG C;- unit parameter and the machine base
The multilevel iudge of quasi- operating parameter
ΔTinAverage-ΔTinMultimachine average>=T_cool_9 DEG C, and DSH >=DSH_cool_5 DEG C;- unit data and multimachine average
The multilevel iudge of parameter
ΔTinAverage≤T_cool_10℃;- unit current operating parameter and the multilevel iudge for coupling relating value
DSH≥DSH_cool_6℃;- unit current operating parameter and the multilevel iudge for coupling relating value
Housing stops count >=1.- unit current operating parameter and the multilevel iudge for coupling relating value
Wherein, DSH_cool_6 DEG C >=DSH_cool_5 DEG C >=DSH_cool_4 DEG C >=DSH_cool_3 DEG C >=DSH_
Cool_2 DEG C >=40 DEG C, DSH_cool_1 DEG C≤35 DEG C;T_cool_1 DEG C >=5 DEG C, T_cool_2 DEG C >=25 DEG C, T_cool_3 DEG C
>=3 DEG C, T_cool_4 DEG C >=1 DEG C, T_cool_5 DEG C >=5 DEG C, T_cool_6 DEG C >=7 DEG C, T_cool_7 DEG C≤- 1 DEG C, T_
Cool_7 DEG C≤- 1 DEG C, T_cool_8 DEG C≤- 5 DEG C, T_cool_9 DEG C≤- 15 DEG C, T_cool_9 DEG C≤5 DEG C.
As shown in figure 3, after the operating status of air-conditioning the machine is judged, for occurring to lack refrigerant, filter screen or steaming
It is dirty stifled when tending to the phenomenon of failure to send out device, takes following maintenance closed loop measure:
Step S31:After-sale service system sends inferior health alarm to client;
Step S32:If being judged as lacking refrigerant, additional refrigerant after-sale service application is sent to client;
Step S33:If being judged as, filter screen or evaporator are dirty stifled, and cleaning heat exchanger after-sale service Shen is sent to client
Please;Or
Step S34:Maintenance suggestion and the method for cleaning filter screen are sent to client;
Step S35:If client receives after-sale service application, order is generated, arranges after-sale service personnel to complete to take after sale
Business;And resurvey benchmark operating parameter;
Step S36:If client selects self-cleaning, after monitoring client's self-cleaning, benchmark fortune is resurveyed
Row parameter.
Based on running state of air conditioner detection method set forth above, the embodiment of the present application also proposes a kind of running state of air conditioner
Detecting system, as shown in figure 4, the system includes:After-sale service system 41 and air-conditioning the machine 42, the two passes through internet or indigo plant
The mode such as tooth or WIFI realizes interconnected communication.After-sale service system obtains the current operating parameter of air-conditioning the machine;And obtain sky
Adjust local reference operating parameter, in a cycle air-conditioning the machine average operating parameter, and same platform is divided into a cycle
More air-conditionings average operating parameter multimachine Mean Parameters;With reference to current operating parameter, benchmark operating parameter, average operation
Parameter and multimachine Mean Parameters, the operating status of air-conditioning the machine is judged based on judgment models;And the operating status based on judgement point
Analyse the operating status of air-conditioning the machine;Wherein, more air-conditionings for being divided into same platform are all interconnected with after-sale service system 41.
The system further includes client terminal 43;After-sale service system 41 further includes warning module 411;In after-sale service system
After the operating status of 41 running state analysis air-conditioning the machine based on judgement, if operating status shows that air-conditioning the machine 42 has
When the possibility or trend of existing failure, warning module 411 sends warning information to client terminal 43;Warning information include alarm,
Maintenance suggests or after-sale service application.Client terminal preferable mobile terminal end.
Air-conditioning the machine 42 further includes outdoor environment temperature sensor 421, or after-sale service system 41 further includes weather forecast
Data obtaining module 412;Weather forecast information acquisition module 413 is interconnected with internet, for obtaining weather forecast from internet
Information;After-sale service system 41 is obtaining current operating parameter, benchmark operating parameter, average operating parameter and multimachine Mean Parameters
Afterwards, the outdoor environment temperature that outdoor environment temperature sensor 421 is got is received, and according to outdoor environment temperature or according to day
The weather forecast information that gas forecast information acquisition module 413 obtains, divides multiple warm areas;And current operating parameter, benchmark are transported
Row parameter, average operating parameter and multimachine Mean Parameters are divided according to warm area.
After-sale service system 41 further includes counting module 413;For based on judgment models judge running state of air conditioner it
Before, obtain the freeze protection counting of air-conditioning the machine, flag bit counts and/or disorderly closedown protection counts;Then after-sale service system
System 41 when judging the operating status of air-conditioning the machine based on judgment models, counted herein in connection with freeze protection, flag bit counting and/
Or disorderly closedown protection counts.
In the system, judgment models include unit current operating parameter multilevel iudge model, unit current operating parameter with
Multilevel iudge model, unit current operating parameter and the multimachine mean data multilevel iudge model of local reference operating parameter and/
Or the historical data trend analysis judgment models of unit operation parameter;Wherein, unit current operating parameter multilevel iudge model, bag
The current operating parameter of air-conditioning the machine is included with coupling the multilevel iudge of relating value;Unit current operating parameter is run with local reference
The multilevel iudge model of parameter, including the current operating parameter of air-conditioning the machine and the multilevel iudge of benchmark operating parameter;Unit is worked as
Preceding operating parameter and multimachine mean data multilevel iudge model, including air-conditioning the machine current operating parameter and the comparison of multimachine average
Judge;The historical data trend analysis judgment models of unit operation parameter, for air-conditioning the machine multicycle be averaged operating parameter when
The trend curve analysis formed on countershaft.
The specific method of work of the system is described in detail in above-mentioned running state of air conditioner detection method, not superfluous herein
State.
In running state of air conditioner detection method and system that the embodiment of the present application proposes, after-sale service system, air-conditioning the machine
In client terminal, air-conditioning the machine and client terminal are interconnected with after-sale service system respectively so that after-sale service system can be examined
The operating parameter of air-conditioning the machine is surveyed, the operating status of air-conditioning the machine is analyzed with reference to judgment models;Among these, operating parameter includes
Current operating parameter and the benchmark operating parameter, average operating parameter and multimachine average ginseng that can reflect air-conditioning normal operation
Number;With reference to judgment models, by the current operating parameter of air-conditioning the machine compared with benchmark operating parameter or multimachine Mean Parameters,
Either transported using air-conditioning the machine current operating parameter compared with coupling relating value or using air-conditioning the machine historical operating parameter
Row tendency judge, the change occurred in operation of air conditioner can be analyzed in time, analyze in time failure possibility or
Person's trend, during quantitative change occurs to qualitative change, provides after-sale service to client in time, contains the generation of qualitative change, extensive in time
Multiple air-conditioning optimum performance, avoid air-conditioning break down after etc. phenomenon to be repaired occur, this improves the experience sense of client,
Also improve the quality of after-sale service.
It should be pointed out that it is limitation of the present invention that described above, which is not, the present invention is also not limited to the example above,
What those skilled in the art were made in the essential scope of the present invention changes, is modified, adds or replaces, and also should
Belong to protection scope of the present invention.