CN103499460A - Fault diagnosis method for air-conditioner - Google Patents
Fault diagnosis method for air-conditioner Download PDFInfo
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- CN103499460A CN103499460A CN201310454318.2A CN201310454318A CN103499460A CN 103499460 A CN103499460 A CN 103499460A CN 201310454318 A CN201310454318 A CN 201310454318A CN 103499460 A CN103499460 A CN 103499460A
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- 238000000034 method Methods 0.000 title abstract description 7
- 238000003745 diagnosis Methods 0.000 title abstract description 5
- 238000012544 monitoring process Methods 0.000 claims abstract description 4
- 238000004378 air conditioning Methods 0.000 claims description 28
- 230000007306 turnover Effects 0.000 claims description 21
- 238000002405 diagnostic procedure Methods 0.000 claims description 10
- 230000007704 transition Effects 0.000 claims description 9
- 230000007423 decrease Effects 0.000 abstract description 3
- 230000000694 effects Effects 0.000 description 4
- 238000010438 heat treatment Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000005057 refrigeration Methods 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000003647 oxidation Effects 0.000 description 1
- 238000007254 oxidation reaction Methods 0.000 description 1
- 239000003507 refrigerant Substances 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 230000008719 thickening Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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Abstract
The invention discloses a fault diagnosis method for an air-conditioner. The fault diagnosis method is timely, simple, convenient, reliable and practical. The method comprises the steps that a temperature change curve of a room in which the air-conditioner operates is obtained through monitoring, corresponding history data recording of the operation of the air-conditioner is established, the temperature change curve of the room in which the air-conditioner operates is compared with the corresponding history data of the air-conditioner under the same condition, the room temperature difference of the temperature change curve and the history data is obtained, whether the efficiency of the air-conditioner decreases or not is determined according to the room temperature difference and/or the situation that the room temperature difference gradually increases along with the time, and further, a fault of the air-conditioner is diagnosed.
Description
Technical field
The present invention relates to a kind of air conditioner fault diagnostic method.
Background technology
The indoor-outdoor equipment of air-conditioning in the running, exchange heat the air-supply that can be freezed or heat by heat exchanger and air, the long-term use, the meetings such as dust, batting, chip absorption, stick together on heat exchanger of air condition fin surface, screen pack and the relevant parts of air-supply link in, moist environment can cause the heat-exchanger fin oxidation, and constantly accumulation thickening.This causes air-conditioning constantly to reduce the conduction efficiency of heat exchanger, increases fan resistance and frictional resistance, and in enlarged operating load, the waste electric power resource, reduce the air-conditioning service efficiency.And work as the reason of Rig up error or self seal, and air-conditioning there will be leakage of refrigerant in use for some time, thereby affects its refrigeration or heating effect, and serious even can damage compressor.The failed subs criber occurred in these operation of air conditioner processes is difficult to discover, only in air conditioner refrigerating or heating effect extreme difference, the user just recognizes, and " peak period " that at this time air-conditioning is used often, also that air-condition faults takes place frequently the period, the maintenance personal is in an emergency and is difficult to accomplish to report and repair, this just causes the user but can use without air-conditioning when needing most, and has run counter to the original intention that the user buys air-conditioning.
Summary of the invention
The objective of the invention is the deficiency existed for prior art, a kind of air conditioner fault diagnostic method is provided.This diagnostic method fault diagnosis is timely, simple, convenient, and reliable, practical.
Air-condition faults diagnostic method of the present invention is the temperature variation curve that the operation of air conditioner room is obtained in monitoring, set up the corresponding historgraphic data recording of operation of air conditioner, the corresponding historical data that compares temperature variation curve with the air-conditioning under similar condition in operation of air conditioner room, obtain both room temperature difference, according to this room temperature difference and/or increase to determine gradually in time whether air-conditioner efficiency descends, and then diagnose out air-condition faults.
The temperature variation curve in described operation of air conditioner room comprises steady state characteristic value or the turnover eigenwert of the Air conditioners running mode under the different design temperature of reflection.
Described steady state characteristic value comprises that operation of air conditioner reaches equilibrium state to the indoor and outdoor heat exchange, and room temperature reaches the steady temperature t while stablizing
∞and reach the time τ of this steady temperature
∞, described turnover eigenwert comprises that operation of air conditioner opens, stops the transition temperature t changed for the first time
zand reach the turnover time τ z of this transition temperature.
The mid-early stage Accurate Diagnosis that diagnostic method of the present invention occurs in fault by the analysis of history data has the faults such as air-conditioning decrease in efficiency, reminding user is fixed a breakdown in time as early as possible, avoid in the past because the user does not understand Air conditioners running mode, cause fault to be incured loss through delay to the later stage, the phenomenon of delaying air-conditioning maintenance opportunity and causing air-condition faults day by day seriously even can't work, guarantee that the user uses in real time, can also reach energy-conservation effect simultaneously, according to statistics, with single air conditioner year power consumption 900 kilowatt-hour meters, can year economize on electricity 135 kilowatt hours after cleaning.
The accompanying drawing explanation
The theoretical temperatures curve of the air conditioner operation that Fig. 1 is one embodiment of the invention reflection steady state characteristic value and turnover eigenwert; The indoor observed temperature curve of the air conditioner operation that Fig. 2 is one embodiment of the invention reflection steady state characteristic value; The indoor observed temperature curve of the air conditioner operation that Fig. 3 is one embodiment of the invention reflection turnover eigenwert; The steady temperature t that Fig. 4 is one embodiment of the invention
∞the curve raise with the conditioner efficiency decay; The turnover time τ that Fig. 5 is one embodiment of the invention
zthe curve extended with the conditioner efficiency decay.
Embodiment
In order further to understand technical scheme of the present invention, by following examples, the invention will be further described by reference to the accompanying drawings.Diagnostic method of the present invention is to adopt monitoring record operation of air conditioner process to obtain the steady state characteristic value that comprises steady temperature and stable state time, the temperature curve that perhaps comprises the operation of air conditioner of transition temperature and the turnover eigenwert of turnover time, set up the corresponding historgraphic data recording of operation of air conditioner under similar condition, steady state characteristic value or the turnover eigenwert difference of the temperature curve of more existing operation of air conditioner and corresponding historical data under similar condition, obtain both room temperature difference, judge by this room temperature difference and along with its difference of use of air-conditioning increases gradually whether air-conditioning exists fault, when having room temperature difference and day by day increasing, can determine that air-conditioner efficiency descends, as air-conditioning season steady temperature rising under similar service condition, the Heating Season steady temperature reduces, also or corresponding stable state or turnover time lengthening, be that air-conditioning breaks down.
Because reality is used the design temperature possibility of air-conditioning different, can be divided into two kinds of situations according to the temperature variation curve in the different operation of air conditioner room of design temperature: the first situation is as shown in Fig. 1 curve 1, air-conditioning is because design temperature is very low, the situation of operation of air conditioner is: the heat exchange of air-conditioning continuous service long period indoor and outdoor reaches equilibrium state, ambient-temp-stable, record steady temperature t
∞, and reach the spent stable state time τ of this steady temperature
∞, its steady temperature and stable state time are the steady state characteristic value, and this kind of Air conditioners running mode can reflect by the steady state characteristic value; Figure 2 shows that a room air conditioner start operation, room temperature reduces gradually from 30 ℃, after 23 minutes room temperature maintain 25 ℃ constant, room temperature reaches stable, the stable state time is 23 minutes, steady temperature is 25 ℃.
The second situation is as shown in Fig. 1 curve 2; the setting value of air-conditioning is suitable; the situation of operation of air conditioner is: air-conditioning reaches in the near future the air-conditioning setting value in operation; compressor shutdown; room temperature raises afterwards; start again refrigeration when room temperature is elevated on setting value the compressor of prescribing a time limit, obtain air conditioner in this operational process (being compressor) and start for the first time to the transition temperature t shut down from the temperature variation curve in operation of air conditioner room
z, and self-starting to shutting down spent turnover time τ
z, its transition temperature, time are the turnover eigenwert, and this kind of Air conditioners running mode can reflect by the turnover eigenwert; Figure 3 shows that a room air conditioner start operation, room temperature reduces gradually from 30 ℃, and in the time of 18 minutes, room temperature reaches 25 ℃, afterwards just circulation between 25 and 27 ℃ always, be that compressor occurred open for the first time, stop changing and reach 25 ℃ of transition temperatures in the time of 18 minutes, the turnover time is 18 minutes.
This stable state or turnover eigenwert are compared with the corresponding historical data (being corresponding historical stable state or turnover eigenwert) of air-conditioning under the similar service condition that comprises the factors such as air-conditioning on time, outside air temperature, state of weather (fine wet weather), indoor temperature and humidity and air-conditioning setting value, whether can determine the decline of air-conditioner efficiency, with the judgement air-condition faults.
Fig. 4 has reflected steady temperature t under similar service condition of air-conditioning season
∞continue to raise. wherein: the t of the temperature variation curve 1 in Fig. 4
∞ 0equal 25.4 and coincide with the corresponding historical data (or curve) of air-conditioning under similar service condition for existing temperature variation curve, its air-conditioner efficiency decays to 0%, means that corresponding steady state characteristic value is identical, both differences, and air-conditioner efficiency is normal, non-fault; T in temperature variation curve 2 and 3
∞ 1and t
∞ 2be respectively 26.5 and 27,6, than historical steady temperature 25.4 height, illustrate that its air-conditioner efficiency decayed respectively 10% and 20%.
Another embodiment as shown in Figure 5 reflected under similar service condition of air-conditioning season, corresponding to corresponding transition temperature t
z, along with turnover time τ
zcontinue to extend, the air-conditioner efficiency decay increases, and the air conditioner refrigeration effect variation is described, refrigerating efficiency descends, and has corresponding fault.Curve 1 turnover time τ wherein
z0equal 9 and coincide with the corresponding historical data (or curve) of air-conditioning under similar service condition for existing temperature variation curve, its air-conditioner efficiency decays to 0%, air-conditioner efficiency is normal, non-fault; τ z in temperature variation curve 2 and 3
1with τ z
2be respectively 13 and 23, larger than the historic turning time 9, its air-conditioner efficiency decay is respectively 10% and 20%.
Claims (3)
1. an air-condition faults diagnostic method, it is characterized in that monitoring the temperature variation curve that obtains the operation of air conditioner room, set up the corresponding historgraphic data recording of operation of air conditioner, the corresponding historical data that compares temperature variation curve with the air-conditioning under similar condition in operation of air conditioner room, obtain both room temperature difference, according to this room temperature difference and/or increase to determine gradually in time whether air-conditioner efficiency descends, and then diagnose out air-condition faults.
2. air-condition faults diagnostic method according to claim 1, the temperature variation curve that it is characterized in that described operation of air conditioner room comprises steady state characteristic value or the turnover eigenwert of the Air conditioners running mode under the different design temperature of reflection.
3. air-condition faults diagnostic method according to claim 2, is characterized in that described steady state characteristic value comprises that operation of air conditioner reaches equilibrium state to the indoor and outdoor heat exchange, and room temperature reaches the steady temperature t while stablizing
∞and reach the time τ of this steady temperature
∞, described turnover eigenwert comprises that operation of air conditioner opens, stops the transition temperature t changed for the first time
zand reach the turnover time τ z of this transition temperature.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105588298A (en) * | 2015-03-26 | 2016-05-18 | 海信（山东）空调有限公司 | Detection method, device and system for air conditioning equipment |
| CN106124232A (en) * | 2016-06-13 | 2016-11-16 | 安徽省恒胜机电工程股份有限公司 | A kind of central air-conditioning intelligence detecting system |
| CN106289833A (en) * | 2016-07-28 | 2017-01-04 | 国网北京市电力公司 | The fault detection method of thermal store and device |
| CN106500238A (en) * | 2016-09-12 | 2017-03-15 | 珠海格力电器股份有限公司 | Electric expansion valve fault detection method, device and multi-connected machine device systems |
| CN107576519A (en) * | 2017-09-14 | 2018-01-12 | 深圳达实智能股份有限公司 | A kind of hospital's variable air volume system automatic testing method and device |
| CN109408093A (en) * | 2018-10-26 | 2019-03-01 | 珠海格力电器股份有限公司 | A kind of firmware upgrade method and household appliance |
| CN109682620A (en) * | 2018-12-06 | 2019-04-26 | 郭思 | A kind of appraisal procedure of domestic air conditioner refrigerating efficiency |
| CN110376005A (en) * | 2018-04-13 | 2019-10-25 | 开利公司 | Data processing method, refrigerant leakage detection method, system failure detection method and system performance detection process |
| CN113450550A (en) * | 2021-06-24 | 2021-09-28 | 张�杰 | Alarming method and device in blood transfusion process |
| CN115095907A (en) * | 2022-07-15 | 2022-09-23 | 唐山学院 | Intelligent heat supply energy-saving regulation and control method and system based on deep learning and storage medium |
| CN115264745A (en) * | 2022-06-29 | 2022-11-01 | 北京小米移动软件有限公司 | Method and device for determining air conditioner outlet air temperature and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105588298A (en) * | 2015-03-26 | 2016-05-18 | 海信（山东）空调有限公司 | Detection method, device and system for air conditioning equipment |
| CN106124232A (en) * | 2016-06-13 | 2016-11-16 | 安徽省恒胜机电工程股份有限公司 | A kind of central air-conditioning intelligence detecting system |
| CN106124232B (en) * | 2016-06-13 | 2018-11-06 | 合肥市再德高分子材料有限公司 | A kind of central air-conditioning intelligence detecting system |
| CN106289833A (en) * | 2016-07-28 | 2017-01-04 | 国网北京市电力公司 | The fault detection method of thermal store and device |
| CN106289833B (en) * | 2016-07-28 | 2020-02-07 | 国网北京市电力公司 | Fault detection method and device for heat storage body |
| CN106500238B (en) * | 2016-09-12 | 2019-06-14 | 珠海格力电器股份有限公司 | Electric expansion valve fault detection method, device and multi-connected machine device systems |
| CN106500238A (en) * | 2016-09-12 | 2017-03-15 | 珠海格力电器股份有限公司 | Electric expansion valve fault detection method, device and multi-connected machine device systems |
| CN107576519A (en) * | 2017-09-14 | 2018-01-12 | 深圳达实智能股份有限公司 | A kind of hospital's variable air volume system automatic testing method and device |
| CN110376005A (en) * | 2018-04-13 | 2019-10-25 | 开利公司 | Data processing method, refrigerant leakage detection method, system failure detection method and system performance detection process |
| CN110376005B (en) * | 2018-04-13 | 2023-08-22 | 开利公司 | Data processing method, refrigerant leakage detection method, system failure detection method, and system performance detection method |
| CN109408093A (en) * | 2018-10-26 | 2019-03-01 | 珠海格力电器股份有限公司 | A kind of firmware upgrade method and household appliance |
| CN109682620A (en) * | 2018-12-06 | 2019-04-26 | 郭思 | A kind of appraisal procedure of domestic air conditioner refrigerating efficiency |
| CN109682620B (en) * | 2018-12-06 | 2020-10-27 | 郭思 | Method for evaluating refrigeration efficiency of household air conditioner |
| CN113450550A (en) * | 2021-06-24 | 2021-09-28 | 张�杰 | Alarming method and device in blood transfusion process |
| CN115264745A (en) * | 2022-06-29 | 2022-11-01 | 北京小米移动软件有限公司 | Method and device for determining air conditioner outlet air temperature and storage medium |
| CN115264745B (en) * | 2022-06-29 | 2024-04-23 | 北京小米移动软件有限公司 | Method, device and storage medium for determining air outlet temperature of air conditioner |
| CN115095907A (en) * | 2022-07-15 | 2022-09-23 | 唐山学院 | Intelligent heat supply energy-saving regulation and control method and system based on deep learning and storage medium |
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Inventor after: Li Haorong Inventor after: Cao Chengbiao Inventor after: Xiong Jun Inventor after: Xu Yongkai Inventor before: Li Haorong Inventor before: San Chengbiao Inventor before: Xiong Jun Inventor before: Xu Yongkai Inventor after: Li Haorong Inventor after: Xiong Jun Inventor after: Xu Yongkai Inventor after: Cao Chengbiao Inventor before: Li Haorong Inventor before: Cao Chengbiao Inventor before: Xiong Jun Inventor before: Xu Yongkai |
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Effective date of registration: 20160330 Address after: 310053 Binjiang District City, Hangzhou Province, No. six and No. 309 Road, central building, E, block, 23 Patentee after: HANGZHOU MYENERGY TECHNOLOGY CO., LTD. Address before: 336000 Yichun Province, Yuanzhou District, Yuan Shan Road West, No. 349 Patentee before: Yichun MyEnergy Domain Technology Co., Ltd. |
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