CN104930659A - Air conditioner running state detection method and system - Google Patents
Air conditioner running state detection method and system Download PDFInfo
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- CN104930659A CN104930659A CN201510353821.8A CN201510353821A CN104930659A CN 104930659 A CN104930659 A CN 104930659A CN 201510353821 A CN201510353821 A CN 201510353821A CN 104930659 A CN104930659 A CN 104930659A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
- F24F2130/10—Weather information or forecasts
Abstract
The invention provides an air conditioner running state detection method and system. According to the air conditioner running state detection method and system, potential or impending air conditioner faults can be found in time based on air conditioner running state parameters. The method comprises the steps that current running parameters of a local air conditioner are acquired; benchmark running parameters of the local air conditioner, average running parameters of the local air conditioner within one cycle, and average values of the average running parameters of multiple air conditioners which are divided to be on the same platform within one cycle are acquired; in combination with the current running parameters, the benchmark running parameters, the average running parameters and the average value parameters of the multiple air conditioners, the running state of the local air conditioner is judged based on a judging model; the running state of the local air conditioner is analyzed based on the judged running state. If the analyzed running state indicates that the air conditioner has the possibility or the trend of faults, after-sales service can be arranged in time before the faults occur, in this way, the experience of a customer for using the air conditioner is improved, and the quality of the after-sales service is also improved.
Description
Technical field
The present invention relates to air-conditioning technical field, be specifically related to a kind of running state of air conditioner detection method and system.
Background technology
Air-conditioning is installed to after client's family uses, and its after-sale service is all carry out the mode of reporting for repairment of air-condition faults based on client, and this after-sale service starts based on the active of client, and the mode of the passive execution in after-sale service department is carried out; But client is professional not, the phenomenon of the failure of operation of air conditioner can only be fed back, this makes personnel after sale cannot accurately fault location and type, personnel are after sale needed first to go up after client there checks and determine abort situation and type, again go up client there to keep in repair, this after-sale service complex steps and efficiency is low, reduces client's experience, also reduces the quality of after-sale service.
In prior art, occurred a kind of air-condition faults repair reporting system, this system can realize the initiative of after-sale service; Concrete, be make to realize between air-conditioning and after-sale service system interconnected, after user starts air-conditioning self-check program, after-sale service system obtains the running state parameter of air-conditioning, and judge based on the parameter obtained the fault that air-conditioning exists, judging that air-conditioning is deposited after a failure, notify client in the mode of reporting to the police, and provide fault solution for client or arrange after-sales maintenance service.
In above-mentioned prior art, although after-sale service system can by the online form obtaining air conditioner operation parameters, judge the fault that air-conditioning may exist, and arrange after-sale service in time, the startup of after-sale service is made to become initiatively from passive, but also there are the following problems for this mode: client can only find the misoperation of air-conditioning after fault occurs, and start self-check program and wait for that after-sales service personnel visit air-conditioning keeped in repair, and waiting time air-conditioning cannot normally use, it reduce the experience of client's using air-condition.
Summary of the invention
The embodiment of the present application is by providing a kind of running state of air conditioner detection method and system, can based on running state of air conditioner parameter, the potential generation of Timeliness coverage or imminent air-condition faults, make personnel after sale before air-conditioning breaks down, after-sale service can be launched in time, improve the experience of client's using air-condition, also improve the quality of after-sale service.
For solving the problems of the technologies described above, the embodiment of the present application is achieved by the following technical solutions:
Propose 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 operational factor, the average operational factor of air-conditioning the machine in the cycle, and in the cycle, be divided into the multimachine Mean Parameters of average operational factor of multiple stage air-conditioning of same platform; In conjunction with described current operating parameter, described benchmark operational factor, described average operational factor and described multimachine Mean Parameters, judge the running status of air-conditioning the machine based on judgment models; Based on the running status of the running state analysis air-conditioning the machine judged.
Propose a kind of running state of air conditioner detection system, comprise interconnected after-sale service system and air-conditioning the machine; Described after-sale service system obtains the current operating parameter of described air-conditioning the machine; And obtain air-conditioning local reference operational factor, the average operational factor of described air-conditioning the machine in the cycle, and in the cycle, be divided into the multimachine Mean Parameters of average operational factor of multiple stage air-conditioning of same platform; In conjunction with described current operating parameter, described benchmark operational factor, described average operational factor and described multimachine Mean Parameters, judge the running status of described air-conditioning the machine based on judgment models; Based on the running status of air-conditioning the machine described in the running state analysis judged; Wherein, the multiple stage air-conditioning being divided into same platform is all interconnected with described after-sale service system.
Compared with prior art, the technical scheme that the embodiment of the present application provides, the technique effect had or advantage are: the embodiment of the present application propose running state of air conditioner detection method and system in, after-sale service system obtains the current operating parameter of air-conditioning the machine, benchmark operational factor, average operational factor in one cycle, and the multimachine Mean Parameters that is divided into the average operational factor of the multiple stage air-conditioning of same platform in the cycle, in conjunction with above-mentioned parameter, judgment models is adopted to judge the running status of air-conditioning the machine, wherein, benchmark operational factor and average operational factor all can characterize the stable state that air-conditioning the machine is normally run, and multimachine Mean Parameters can characterize from large data the stable state that air-conditioning normally runs, therefore based in the judgment models of these parameters, after current operating parameter is compared with these parameters, state or the trend of the current operation of air-conditioning can be judged, such as be within the scope of normal trend, still be within the scope of fault trend, if be within the scope of fault trend, then after-sale service system can according to judged result in time for client provides after-sale service, before air-condition faults occurs, just safeguard that air-conditioning is to optimum duty, air-conditioning is keeped in repair again after need not waiting until air-condition faults, cannot the situation of using air-condition in the time period that also would not occur customer waits on-site maintenance air-conditioning after sale, which increase the experience of user, also improve the quality of air-conditioning after-sale service simultaneously.
Accompanying drawing explanation
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 for providing the method flow diagram of after-sale service in the embodiment of the present application;
Fig. 4 is the running state of air conditioner detection system frame diagram that the embodiment of the present application proposes.
Detailed description of the invention
The embodiment of the present application is by providing a kind of running state of air conditioner detection method and system, can based on running state of air conditioner parameter, the potential generation of Timeliness coverage or imminent air-condition faults, make personnel after sale before air-conditioning breaks down, after-sale service can be launched in time, air-conditioning need not be waited until after breaking down just for client provides after-sales maintenance service, for client save fault occur after etc. step to be repaired, enable client's using air-condition at any time according to demand, improve the experience of client's using air-condition, also improve the quality of after-sale service.
Because client does not understand operation of air conditioner, in prior art, when client reports for repairment and starts after-sale service program after air-condition faults, the phenomenon of air-condition faults can only be provided to after-sale service side, the information content that after-sale service side obtains is little, be difficult to position and the reason of accurately location air-condition faults from repairing information, make after-sale service side at least need just can complete maintenance twice to client there, during this section, client cannot using air-condition; The thinking of the running state of air conditioner detection method that the embodiment of the present application proposes and system is, a kind of mode is provided, after-sale service system can be made before air-conditioning breaks down to provide after-sale service, safeguard that operation of air conditioner is in normal condition, the generation of keeping in repair again after avoiding air-condition faults, ensures client's normal using air-condition all the time; Also be, by by air-conditioning current operating parameter with can characterize the parameter that air-conditioning normally runs and compare, or analysis of trend is done to the parameter run in air-conditioning one section of duration, know air-conditioning current operating conditions, go out air-conditioning from running state analysis whether be in abnormal operating state or whether be tending towards breaking down, implement after-sale service before this, avoid row maintenance again after fault, ensure that client can using air-condition at any time.
In order to better understand technique scheme, below in conjunction with Figure of description and concrete embodiment, technique scheme is described in detail.
As shown in Figure 1, be the running state of air conditioner detection method that the embodiment of the present application proposes, comprise the following steps:
Step S11: obtain air-conditioning the machine current operating parameter.
Running status of the present invention includes but not limited to air-conditioning normal operating condition, air-conditioning inferior health running status and air-condition faults etc.; Inferior health running status is often referred to, from amateur angle, air-conditioning also in normal operation, but in fact the operational factor of air-conditioning change, be tending towards breaking down, re-use a period of time after the state that will break down.
In the embodiment of the present application, launch mainly for after judging sub-health state, but be not limited to for sub-health state, after judging fault, according to parameter failure judgement reason, after-sale service can be started in time equally.
Know the running status of air-conditioning, first need to obtain air-conditioning the machine current operating parameter, this obtains due to the after-sale service system that air-conditioning the machine is interconnected.
Here after-sale service system, is purport that foregoing points out and (comprises and breaking down) before the failure occurs and know running state of air conditioner, provide the system of after-sale service in time according to running status; Action getparms can be carried out according to preset frequency, the duration of such as a day, a week or user's sets itself.
Step S12: obtain air-conditioning local reference operational factor, the average operational factor of air-conditioning the machine in the cycle, and the multimachine Mean Parameters of average operational factor of multiple stage air-conditioning being divided into same platform in the cycle.
Step S12 and step S11 does not have dividing of strict priority on execution sequence, comprises yet and performing simultaneously.
Here the parameter type in the current operating parameter of indication, benchmark operational factor, average operational factor and multimachine Mean Parameters comprises data class parameter and indirect data class parameter, and according to frequency changer and the classification of constant speed machine; Wherein, the data class parameter of frequency changer comprises target exhaust temperature T_obj, actual exhaust air temperature Td, electric current I, outdoor coil temperature T
outer disk, indoor coil pipe T
inner disc, expansion valve (EEV) aperture, targeted compression unit frequency F_obj, actual compression unit frequency F
current, indoor environment temperature T_in and/or outdoor environment temperature T_out; The indirect data class parameter of frequency changer comprises the difference DELTA F=F_obj-F of discharge superheat DSH, indoor heat transfer temperature difference Δ Tin, outdoor heat exchange temperature difference Tout, setting temperature difference E and/or target frequency and ongoing frequency
current; The data class parameter of constant speed machine comprises electric current I, indoor coil pipe T
inner discand/or indoor environment temperature T_in; The indirect data class parameter of constant speed machine comprises indoor 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, for making judgement more accurate, also obtain as following table one and the data in table two:
Table one
Table two
Wherein, DSH=Td-T during refrigeration
outer disk, DSH=Td-T when heating
inner disc; Δ Tin=T_in-T during refrigeration
inner disc, Δ Tin=T when heating
inner disc-T_in; Δ Tout=T during refrigeration
outer disk-T_out, Δ Tout=T_out-T when heating
outer disk; E=T_in-T during refrigeration
setting, E=T when heating
setting-T_in.
Because the parameter of operation of air conditioner is when outdoor environment temperature is different, there are differences, therefore, for better ensureing the accuracy of the detection method that the embodiment of the present application proposes, by the data got, with outdoor environment real time temperature or local real-time weather forecast temperature, according to refrigeration, heating season, outdoor environment temperature is divided into multiple warm area, and above-mentioned parameter is divided in different warm areas, such as, shown in table 3 and table 4 according to multiple warm area:
Table three freezes outdoor environment temperature subregion, temperature range 18 DEG C-43 DEG C
| T_out divides into groups | 18-25 | 26-31 | 32-38 | 39-43 |
Table four heats outdoor environment temperature subregion, temperature range-7 DEG C-24 DEG C
| T_out divides into groups | -7-0 | 1-7 | 8-15 | 16-24 |
Air-conditioning local reference operational factor, after referring to that air-conditioning is installed to customer, running refrigerating or the operational factor that detects when heating first.Concrete, after operation of air conditioner is stable, obtain several times, after casting out invalid data, obtain N1 group parameter, N1 is more than or equal to 1, obtains final benchmark operational factor after then the N1 group parameter of acquisition being averaged.
In one cycle, the average operational factor of air-conditioning the machine, refers in some cycles, and the parameter of the air-conditioning the machine got the every workday carries out mathematic(al) mean, draws the average operational factor in this cycle; Here a cycle comprises at least one working day, and the every workday at least gathers a secondary data.
Multimachine Mean Parameters, refers to the mathematical mean of the average operational factor of the multiple stage air-conditioning being divided into same platform.Belong to same type with platform general reference or configure the air-conditioning identical with performance.Here imply the concept of large data, namely after-sale service system is provided with classification in its internal system, and the multiple stage air-conditioning detected is classified according to platform, and all operational factors of record and statistics same platform air-conditioning, just calculated multimachine average.
Step S13: in conjunction with current operating parameter, benchmark operational factor, average operational factor and multimachine Mean Parameters, judge the running status of air-conditioning the machine based on judgment models.
Step S14: based on the running status of the running state analysis air-conditioning the machine judged.
Benchmark operational factor, from its definition, its for air-conditioning install after first time collection parameter, therefore substantially can characterize air-conditioning normal operating condition; And this benchmark operational factor can replace using with factory-set value.
Average operational factor, is the average gathering repeatedly data within a cycle, in error allowed band, also can characterizes air-conditioning normal operating condition.
Multimachine Mean Parameters, be the average of same platform multimachine data, because the air-conditioning probability broken down in multimachine is lower, it also can characterize air-conditioning normal operating condition.
Therefore, adopt judgment models, when current operating parameter and above-mentioned three kinds of parameters are compared judgement, if the deviation beyond allowed band appears in judged result, then illustrate that air-conditioning the machine exists the trend or possibility that break down.
Judgment models comprises: 1, unit current operating parameter multilevel iudge model; 2, the multilevel iudge model of unit current operating parameter and local reference operational factor; 3, unit current operating parameter and multimachine Mean Parameters multilevel iudge model; And/or 3, the historical data trend analysis judgment models of unit operation parameter.
Wherein, unit current operating parameter multilevel iudge model, comprises the current operating parameter of air-conditioning the machine and the multilevel iudge of the relating value that is coupled; The multilevel iudge model of unit current operating parameter and local reference operational factor, comprises the current operating parameter of air-conditioning the machine and the multilevel iudge of benchmark operational factor; Unit current operating parameter and multimachine mean data multilevel iudge model, comprise the multilevel iudge of air-conditioning the machine current operating parameter and multimachine average; The historical data trend analysis judgment models of unit operation parameter is the trend curve analysis that air-conditioning the machine multicycle average operational factor is formed on a timeline; Here coupling relating value, refers to some reference values fixed according to practical situations or empirical value or threshold value.
The multilevel iudge of unit current operating parameter and the relating value that is coupled; the state of the current operation of air-conditioning the machine can be characterized; if multilevel iudge result shows that current operating parameter is in the scope that coupling relating value defines; then characterize air-conditioning the machine current operating conditions normal; if exceed the confining spectrum of coupling relating value; the running status then characterizing air-conditioning the machine is in improper or non-optimal conditions; after-sale service system according to the order of severity of the Analyzing on Size abnormal running of error, can implement different after-sale services for different degree.
The multilevel iudge result of unit current operating parameter and local reference operational factor, the state of the current operation of air-conditioning the machine can be characterized, if multilevel iudge result shows that current operating parameter and benchmark operational factor are in error allowed band, then characterize air-conditioning the machine current operating conditions normal, if multilevel iudge result shows that current operating parameter and benchmark operational factor exceed error allowed band, then illustrate that the running status of air-conditioning the machine is in improper or non-optimal conditions, after-sale service system can according to the order of severity of the Analyzing on Size abnormal running of error, different after-sale services is implemented for different degree.
The multilevel iudge result of unit current operating parameter and multimachine Mean Parameters, the state of the current operation of air-conditioning the machine can be characterized, if multilevel iudge result shows that current operating parameter and multimachine Mean Parameters are in error allowed band, then characterize air-conditioning the machine current operating conditions normal, if multilevel iudge result shows that current operating parameter and multimachine Mean Parameters exceed error allowed band, then illustrate that the running status of air-conditioning the machine is in improper or non-optimal conditions, after-sale service system can according to the order of severity of the Analyzing on Size abnormal running of error, different after-sale services is implemented for different degree.
The historical data trend analysis judgment models of unit operation parameter, shown in figure 2, is an embodiment of the trend curve analysis that air-conditioning the machine multicycle average operational factor is formed on a timeline; The situation of refrigrant leakage is characterized with the historical operating parameter of electric current I.Suppose, one-period is 5 working days, then on 50 workaday time shafts, the average operational factor in 10 cycles, or 50 workaday historical operating parameter form trend curve on a timeline, then can infer from the change of curve the state that air-conditioning the machine is run, if curvilinear transformation is mild, or when being all positioned at below average operational factor or multimachine average, air-conditioning the machine normal operation is described, if when curvilinear transformation presents the trend significantly decaying or increase, then illustrate that the operation of air-conditioning the machine exists potential problems, also namely there is the trend broken down and possibility.
The method of above-mentioned judgment models statement can be combined with each other according to actual conditions in a particular application, or does the increase and decrease in details judgement, but does not depart from the thought of the embodiment of the present application proposition.
When according to the data obtained and judgment models, after-sale service system judges that the running status of air-conditioning is abnormal, can after-sale service be arranged in time to safeguard to customer air-conditioning, ensure that air-conditioning operates in the best or normal operating condition all the time, avoid the generation of fault, also just avoid just carry out keeping in repair after air-condition faults and delay the normal using air-condition of client phenomenon occur, this improves the experience sense of client's using air-condition significantly, also improves the quality of after-sale service.Especially concentrate between the frequent operating period at air-conditioning, such as hot summer, if air-conditioning breaks down, waiting in the time period to be repaired, client can not using air-condition and the consequence bringing experience sense to reduce, and, concentrate between the frequent operating period at air-conditioning, the possibility that air-conditioning breaks down also increases, and the probability reported for repairment also raises, and which increases the intensity of after-sale service, if after-sale service department's personnel placement is not opened, just can not meet the demand of client's on-call maintenance, client can be caused to be discontented with, reduce the quality of after-sale service; The method adopting the embodiment of the present application to propose, can predict trend and the possibility of fault generation before the failure occurs, thus before fault occurs, can implement after-sales service to air-conditioning, avoid the generation of air-condition faults.
The running state of air conditioner detection method that the embodiment of the present application proposes, also comprises step S15: if when running status shows that air-conditioning the machine has the possibility or trend that break down, send early warning information.
After-sale service system is when judging that air-conditioning exists the possibility that breaks down or has the trend broken down, early warning information can be sent to customer, such as be sent on the client terminal of customer, including but not limited to computer, mobile terminal etc., inform that customer trouble is about to occur and provides solution.Here early warning information general reference is reported to the police, is keeped in repair suggestion or after-sale service application etc.Such as while giving the alarm, there is provided maintenance suggestion for client or send after-sale service application, if customer selecting accepts after-sale service application, client terminal then can be used to after-sale service system to send the information of accepting applications, then after-sale service system is according to the confirmation format after-sales maintenance service of client.Here maintenance suggestion can also comprise method and the suggestion of client's self-maintain, and such as, when the situation that filter screen dirtying is stifled occurs, user can clear up voluntarily, arranges special maintenance service without the need to after-sale service department.
Above-mentioned; before judging running state of air conditioner based on judgment models; the information such as the freeze protection counting of air-conditioning the machine, flag bit counting and/or disorderly closedown protection counting can also be obtained; when judging air-conditioning current season volume running status based on judgment models, can also carry out in conjunction with these technical information.
Detection to refrigeration mode and the detection to heating mode are divided into the detection of running state of air conditioner, and air-conditioning is divided into convertible frequency air-conditioner and constant speed air-conditioning two type; Below, for two concrete judgment models embodiments, the running state of air conditioner detection method that the embodiment of the present application proposes is described in detail.
Embodiment one
Refrigerating of convertible frequency air conditioner pattern, filter screen dirtying or evaporimeter block up judgment models:
During refrigerating operaton, Δ Tin >=T_cool_1 DEG C, and during freeze protection counting >=1, simultaneously meet following all conditions, judge indoor screen pack or evaporimeter dirty stifled:
Condition 1:T_in >=T_cool_2 DEG C; The multilevel iudge of-unit current operating parameter and the relating value that is coupled
Condition 2:DSH≤DSH_cool_1 DEG C; The multilevel iudge of-unit current operating parameter and the relating value that is coupled
Condition 3: Δ Tin
average i-Δ Tin
local reference>=T_cool_3 DEG C; The multilevel iudge of-unit current operating parameter and local reference operational factor, wherein, i is current period sequence in periodic sequence.
Embodiment two
Refrigerating of convertible frequency air conditioner pattern, refrigrant leakage judgment models:
Meet following arbitrary condition, judge that refrigrant leakage is in the less stage:
Δ Tin
average i+1-Δ Tin
average i>=Δ Tin
average i-Δ Tin
average i-1, there is the change of continuous tendency in>=T_cool_4 DEG C, and DSH>=DSH_cool_2 DEG C; The historical data trend analysis of-unit operation parameter judges
Δ Tin
average i+1-Δ Tin
local reference>=T_cool_5 DEG C, there is a certain amount of change in data, and DSH>=DSH_cool_2 DEG C; The multilevel iudge of-unit current operating parameter and local reference operational factor
Δ Tin
average-Δ Tin
multimachine average>=T_cool_5 DEG C, and DSH>=DSH_cool_2 DEG C; The multilevel iudge of-unit data and multimachine Mean Parameters
Meet following arbitrary condition, judge that refrigrant leakage is in the medium stage:
Δ Tin
average i+1-Δ Tin
local reference>=T_cool_6 DEG C, there is a certain amount of change in data, and DSH>=DSH_cool_3 DEG C; The historical data trend analysis of-unit operation parameter judges
Δ Tin
average-Δ Tin
multimachine average>=T_cool_6 DEG C, and DSH>=DSH_cool_3 DEG C; The multilevel iudge of-unit data and multimachine Mean Parameters
Meet following arbitrary condition, judge that refrigrant leakage is in severe stage:
Δ Tin
average i+1-Δ Tin
average i≤ Δ Tin
average i-Δ Tin
average i-1, there is the change of continuous tendency in≤T_cool_7 DEG C, and DSH>=DSH_cool_4 DEG C; The historical data trend analysis of-unit operation parameter judges
Δ Tin
average i+1-Δ Tin
local reference≤ T_cool_8 DEG C, and DSH>=DSH_cool_4 DEG C; The multilevel iudge of-unit current operating parameter and local reference operational factor
Δ Tin
average-Δ Tin
multimachine average≤ T_cool_8 DEG C, and DSH>=DSH_cool_4 DEG C; The multilevel iudge of-unit data and multimachine Mean Parameters
Meet following arbitrary condition, judge refrigrant leakage almost perfect state:
Δ Tin
average i+1-Δ Tin
local reference≤ T_cool_9 DEG C, and DSH>=DSH_cool_5 DEG C; The multilevel iudge of-unit parameter and local reference operational factor
Δ Tin
average-Δ Tin
multimachine average>=T_cool_9 DEG C, and DSH>=DSH_cool_5 DEG C; The multilevel iudge of-unit data and multimachine Mean Parameters
Δ Tin
average≤ T_cool_10 DEG C; The multilevel iudge of-unit current operating parameter and the relating value that is coupled
DSH >=DSH_cool_6 DEG C; The multilevel iudge of-unit current operating parameter and the relating value that is coupled
Housing stops count >=1.The multilevel iudge of-unit current operating parameter and the relating value that is coupled
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 running status judging air-conditioning the machine, for generation lack cold-producing medium, screen pack or evaporimeter dirty stifled etc. be tending towards the phenomenon of fault time, take following maintenance closed loop measure:
Step S31: after-sale service system sends inferior health alarm to client;
Step S32: if be judged as scarce cold-producing medium, then send additional cold-producing medium after-sale service application to client;
Step S33: if be judged as screen pack or evaporimeter dirty stifled, then send cleaning heat exchanger after-sale service application to client; Or
Step S34: the maintenance suggestion from cleaned filter screen to client and the method that send;
Step S35: if client reception after-sale service application, then generate order, arranges after-sale service personnel to complete after-sale service; And Resurvey benchmark operational factor;
Step S36: if customer selecting self-cleaning, then after monitoring client's self-cleaning, Resurvey benchmark operational factor.
Based on the running state of air conditioner detection method of above-mentioned proposition, the embodiment of the present application also proposes a kind of running state of air conditioner detection system, as shown in Figure 4, this system comprises: after-sale service system 41 and air-conditioning the machine 42, and the two realizes interconnected communication by internet or the mode such as bluetooth or WIFI.After-sale service system obtains the current operating parameter of air-conditioning the machine; And obtain air-conditioning local reference operational factor, the average operational factor of air-conditioning the machine in the cycle, and in the cycle, be divided into the multimachine Mean Parameters of average operational factor of multiple stage air-conditioning of same platform; In conjunction with current operating parameter, benchmark operational factor, average operational factor and multimachine Mean Parameters, judge the running status of air-conditioning the machine based on judgment models; And based on the running status of running state analysis air-conditioning the machine judged; Wherein, the multiple stage air-conditioning being divided into same platform is all interconnected with after-sale service system 41.
This system also comprises client terminal 43; After-sale service system 41 also comprises warning module 411; After-sale service system 41 based on judge running state analysis air-conditioning the machine running status after, if running status show air-conditioning the machine 42 have break down may or trend time, warning module 411 sends early warning information to client terminal 43; Early warning information comprises warning, maintenance suggestion or after-sale service application.Client terminal preferable mobile terminal end.
Air-conditioning the machine 42 also comprises outdoor environment temperature sensor 421, or after-sale service system 41 also comprises weather forecast information acquisition module 412; Weather forecast information acquisition module 413 is interconnected with internet, for obtaining weather forecast information from internet; After-sale service system 41 is after acquisition current operating parameter, benchmark operational factor, average operational factor and multimachine Mean Parameters, the outdoor environment temperature that receiving chamber external environment temperature sensor 421 gets, and according to outdoor environment temperature or the weather forecast information according to weather forecast information acquisition module 413 acquisition, divide multiple warm area; And current operating parameter, benchmark operational factor, average operational factor and multimachine Mean Parameters are divided according to warm area.
After-sale service system 41 also comprises counting module 413; For before judging running state of air conditioner based on judgment models, obtain the freeze protection counting of air-conditioning the machine, flag bit counting and/or disorderly closedown protection counting; Then after-sale service system 41 is when judging the running status of air-conditioning the machine based on judgment models, also in conjunction with freeze protection counting, flag bit counting and/or disorderly closedown protection counting.
In this system, judgment models comprises the historical data trend analysis judgment models of the multilevel iudge model of unit current operating parameter multilevel iudge model, unit current operating parameter and local reference operational factor, unit current operating parameter and multimachine mean data multilevel iudge model and/or unit operation parameter; Wherein, unit current operating parameter multilevel iudge model, comprises the current operating parameter of air-conditioning the machine and the multilevel iudge of the relating value that is coupled; The multilevel iudge model of unit current operating parameter and local reference operational factor, comprises the current operating parameter of air-conditioning the machine and the multilevel iudge of benchmark operational factor; Unit current operating parameter and multimachine mean data multilevel iudge model, comprise the multilevel iudge of air-conditioning the machine current operating parameter and multimachine average; The historical data trend analysis judgment models of unit operation parameter is the trend curve analysis that air-conditioning the machine multicycle average operational factor is formed on a timeline.
The method of work that this system is concrete describes in detail in above-mentioned running state of air conditioner detection method, and it will not go into details herein.
The embodiment of the present application propose running state of air conditioner detection method and system in, in after-sale service system, air-conditioning the machine and client terminal, air-conditioning the machine and client terminal are interconnected with after-sale service system respectively, make after-sale service system can detect the operational factor of air-conditioning the machine, analyze the running status of air-conditioning the machine in conjunction with judgment models, this wherein, operational factor comprises current operating parameter and can reflect the benchmark operational factor that air-conditioning normally runs, average operational factor and multimachine Mean Parameters, in conjunction with judgment models, the current operating parameter of air-conditioning the machine and benchmark operational factor or multimachine Mean Parameters are compared, or utilize air-conditioning the machine current operating parameter to compare with coupling relating value, or utilize air-conditioning the machine historical operating parameter to do operation trend to judge, the change occurred in operation of air conditioner can be gone out by immediate analysis, the possibility that immediate analysis breaks down or trend, in the process that quantitative change occurs to qualitative change, after-sale service is provided in time to client, the generation of containment qualitative change, timely recovery air-conditioning optimum performance, phenomenon to be repaired after avoiding air-conditioning to break down etc. occurs, which increase the experience sense of client, also improve the quality of after-sale service.
It should be noted that; above-mentioned explanation is not limitation of the present invention; the present invention is also not limited in above-mentioned citing, the change that those skilled in the art make in essential scope of the present invention, modification, interpolation or replacement, also should belong to protection scope of the present invention.
Claims (10)
1. running state of air conditioner detection method, is characterized in that, comprises the following steps:
Obtain air-conditioning the machine current operating parameter;
Obtain air-conditioning local reference operational factor, the average operational factor of air-conditioning the machine in the cycle, and in the cycle, be divided into the multimachine Mean Parameters of average operational factor of multiple stage air-conditioning of same platform;
In conjunction with described current operating parameter, described benchmark operational factor, described average operational factor and described multimachine Mean Parameters, judge the running status of air-conditioning the machine based on judgment models;
Based on the running status of the running state analysis air-conditioning the machine judged.
2. running state of air conditioner detection method according to claim 1, is characterized in that, after the running status based on the running state analysis air-conditioning the machine judged, described method also comprises:
If when described running status shows that described air-conditioning the machine has the possibility or trend that break down, send early warning information; Described early warning information comprises warning, maintenance suggestion or after-sale service application.
3. running state of air conditioner detection method according to claim 1, is characterized in that, after the described current operating parameter of acquisition, described benchmark operational factor, average operational factor and multimachine Mean Parameters, described method also comprises:
According to outdoor environment temperature or weather forecast temperature, divide multiple warm area;
Described current operating parameter, described benchmark operational factor, average operational factor and multimachine Mean Parameters are divided according to warm area.
4. running state of air conditioner detection method according to claim 1, is characterized in that, before judging running state of air conditioner based on judgment models, described method also comprises:
Obtain the freeze protection counting of air-conditioning the machine, flag bit counting and/or disorderly closedown protection counting;
The described running status judging air-conditioning the machine based on judgment models, also comprises: in conjunction with described freeze protection counting, flag bit counting and/or disorderly closedown protection counting.
5. the running state of air conditioner detection method according to any one of claim 1-4, it is characterized in that, described judgment models comprises the multilevel iudge model of unit current operating parameter multilevel iudge model, unit current operating parameter and local reference operational factor, unit current operating parameter and the multilevel iudge model of multimachine Mean Parameters and/or the historical data trend analysis judgment models of unit operation parameter;
Wherein, described unit current operating parameter multilevel iudge model, comprises the current operating parameter of air-conditioning the machine and the multilevel iudge of the relating value that is coupled;
The multilevel iudge model of described unit current operating parameter and local reference operational factor, comprises the current operating parameter of air-conditioning the machine and the multilevel iudge of benchmark operational factor;
Described unit current operating parameter and multimachine Mean Parameters multilevel iudge model, comprise the current operating parameter of air-conditioning the machine and the multilevel iudge of multimachine Mean Parameters;
The historical data trend analysis judgment models of described unit operation parameter is the trend curve analysis that air-conditioning the machine multicycle average operational factor is formed on a timeline.
6. running state of air conditioner detection system, comprises interconnected after-sale service system and air-conditioning the machine; It is characterized in that, described after-sale service system obtains the current operating parameter of described air-conditioning the machine; And obtain air-conditioning local reference operational factor, the average operational factor of described air-conditioning the machine in the cycle, and in the cycle, be divided into the multimachine Mean Parameters of average operational factor of multiple stage air-conditioning of same platform; In conjunction with described current operating parameter, described benchmark operational factor, described average operational factor and described multimachine Mean Parameters, judge the running status of described air-conditioning the machine based on judgment models; Based on the running status of air-conditioning the machine described in the running state analysis judged; Wherein, the multiple stage air-conditioning being divided into same platform is all interconnected with described after-sale service system.
7. running state of air conditioner detection system according to claim 6, is characterized in that, described system also comprises client terminal; Described after-sale service system also comprises warning module; Described after-sale service system based on judge running state analysis air-conditioning the machine running status after, if when described running status shows that described air-conditioning the machine has the possibility or trend that break down, described warning module sends early warning information to described client terminal; Described early warning information comprises warning, maintenance suggestion or after-sale service application.
8. running state of air conditioner detection system according to claim 6, is characterized in that, described air-conditioning the machine also comprises outdoor environment temperature sensor, or described after-sale service system also comprises weather forecast information acquisition module; Described weather forecast information acquisition module and internet interconnected, for from internet obtain weather forecast information; Described after-sale service system is after the described current operating parameter of acquisition, described benchmark operational factor, average operational factor and multimachine Mean Parameters, receive the outdoor environment temperature that described outdoor environment temperature sensor gets, and according to described outdoor environment temperature, or according to the weather forecast information that described weather forecast information acquisition module obtains, divide multiple warm area; And described current operating parameter, described benchmark operational factor, average operational factor and multimachine Mean Parameters are divided according to warm area.
9. running state of air conditioner detection system according to claim 6, is characterized in that, described after-sale service system also comprises counting module; Described counting module, for before judging running state of air conditioner based on judgment models, obtains the freeze protection counting of air-conditioning the machine, flag bit counting and/or disorderly closedown protection counting; Then described after-sale service system is when judging the running status of air-conditioning the machine based on judgment models, also in conjunction with described freeze protection counting, flag bit counting and/or disorderly closedown protection counting.
10. the running state of air conditioner detection system according to any one of claim 6-9, it is characterized in that, described judgment models comprises the multilevel iudge model of unit current operating parameter multilevel iudge model, unit current operating parameter and local reference operational factor, unit current operating parameter and the multilevel iudge model of multimachine Mean Parameters and/or the historical data trend analysis judgment models of unit operation parameter;
Wherein, described unit current operating parameter multilevel iudge model, comprises the current operating parameter of air-conditioning the machine and the multilevel iudge of the relating value that is coupled;
The multilevel iudge model of described unit current operating parameter and local reference operational factor, comprises the current operating parameter of air-conditioning the machine and the multilevel iudge of benchmark operational factor;
Described unit current operating parameter and multimachine Mean Parameters multilevel iudge model, comprise the multilevel iudge of air-conditioning the machine current operating parameter and multimachine Mean Parameters;
The historical data trend analysis judgment models of described unit operation parameter is the trend curve analysis that air-conditioning the machine multicycle average operational factor is formed on a timeline.
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Effective date of registration: 20210125 Address after: 266100 No. 151, Zhuzhou Road, Laoshan District, Shandong, Qingdao Patentee after: HISENSE (SHANDONG) AIR-CONDITIONING Co.,Ltd. Address before: 528303, No. 8, Yung Yung Road, Shunde District, Guangdong, Foshan, Ronggui Patentee before: Guangdong Kelong Jiake Electronics Co.,Ltd. |
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| TR01 | Transfer of patent right |