CN109764633A - A kind of frost-free refrigerator self-optimizing is avoided the peak hour the control method of defrost - Google Patents

A kind of frost-free refrigerator self-optimizing is avoided the peak hour the control method of defrost Download PDF

Info

Publication number
CN109764633A
CN109764633A CN201910167574.0A CN201910167574A CN109764633A CN 109764633 A CN109764633 A CN 109764633A CN 201910167574 A CN201910167574 A CN 201910167574A CN 109764633 A CN109764633 A CN 109764633A
Authority
CN
China
Prior art keywords
defrost
frost
peak hour
avoided
free refrigerator
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910167574.0A
Other languages
Chinese (zh)
Other versions
CN109764633B (en
Inventor
罗莉文
韩斌斌
邵强宝
陈庆传
王春根
陈建明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Huari Household Appliances Co Ltd
Original Assignee
Hangzhou Huari Household Appliances Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hangzhou Huari Household Appliances Co Ltd filed Critical Hangzhou Huari Household Appliances Co Ltd
Priority to CN201910167574.0A priority Critical patent/CN109764633B/en
Publication of CN109764633A publication Critical patent/CN109764633A/en
Application granted granted Critical
Publication of CN109764633B publication Critical patent/CN109764633B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B40/00Technologies aiming at improving the efficiency of home appliances, e.g. induction cooking or efficient technologies for refrigerators, freezers or dish washers

Landscapes

  • Defrosting Systems (AREA)

Abstract

It avoids the peak hour the control method of defrost the invention discloses a kind of frost-free refrigerator self-optimizing, to due to different regions, different sunset times, network connection status, the home environment equation of light is different and the factors such as environment temperature, determines different defrost strategies.The mode of method combination online mode and offline mode of the invention, defrost work is completed in the paddy electricity period, position is obtained from internet when online and temporal information setting is avoided the peak hour the defrost time, and the judgement to sunset is realized when offline in conjunction with light detecting sensors, and environment light detection when to special circumstances such as season, Changes in weather is adaptive by returning excellent algorithm to carry out, so that it is determined that avoiding the peak hour the defrost time;Will avoid the peak hour the period complete this high energy consumption of defrost work, improve paddy electricity when electricity consumption, be conducive to it is energy saving, to improve the benefit of power grid and entire society.

Description

A kind of frost-free refrigerator self-optimizing is avoided the peak hour the control method of defrost
Technical field
The present invention relates to refrigerator field, specifically a kind of frost-free refrigerator self-optimizing is avoided the peak hour the control method of defrost.
Background technique
Energy conservation and environmental protection is all concerned always in white goods industry.Instantly society is advocating electricity using at the peak time, and resource is closed Manage the Energy Saving Strategy of dispensing.Peak load shifting can effectively alleviate the pressure of resource provision, reduce the wasting of resources.Refrigerator is to maintain A kind of refrigeration equipment of constant low temperature and a kind of food or other articles is made to keep constant the product for civilian use of low temperature cold conditions.Case There are compressor, ice machine to the cabinet or case that freeze in vivo, the hutch with refrigerating plant.Air-cooled frost-free refrigerator exists in recent years The share occupied in the market increases year by year, and the energy consumption accounting in the air-cooled frost-free refrigerator course of work before and after defrost is very It is high.
In general its compressor refrigeration power of one 400 liters or more of air-cooled frost-free refrigerator is at 100 watts or so, and defrost The rated power of heating tube is 220 watts or so, after defrost in order to maintain refrigerator temperature compressor can also continuous high frequency work it is longer A period of time.Household electrical appliance of the air-cooled frost-free refrigerator as 24 hours stand-by operations complete this high consumption of defrost in paddy electricity The work of energy also can be reduced user in the region for carrying out time-of-use tariffs so that air-cooled frost-free refrigerator reasonably realizes peak load shifting Electric cost expenditure.
Generally by defrost of avoiding the peak hour is realized to set-up of control system clock, such user initially using the prior art Or situations such as device powers down, will go the setting time, not so cannot achieve defrost of avoiding the peak hour.
Summary of the invention
It avoids the peak hour the control method of defrost the purpose of the present invention is to provide a kind of frost-free refrigerator self-optimizing, to solve above-mentioned back The problem of being proposed in scape technology.
To achieve the above object, the invention provides the following technical scheme:
A kind of frost-free refrigerator self-optimizing is avoided the peak hour the control method of defrost, the specific steps are as follows:
Step 1, device power, system initialization initialize avoid the peak hour defrost and light detection data;
Step 2 judges whether it is and powers on for the first time, if so, step 3 is skipped to after compressor operation is Ha hours accumulative, if it is not, then Skip to step 4;
Step 3, compressor accumulated running time clear 0 carry out defrost program;
Step 4 skips to step after executing " self-optimizing strategy M " if compressor accumulated running time is greater than the Hmax hour of setting Three, if compressor accumulated running time is not more than Hmax hours, skip to step 5;
Step 5, if the time cumulation that environment temperature is greater than the default maximum temperature Tx of compressor reaches Hb hours preset, if No, then compressor accumulated running time is Hc hours;
Step 6, judges whether frost-free refrigerator is networked by networking module, is, then for on-line mode and skips to step 7;It is no, Then it is off-line mode and skips to step 9;
Step 7, obtains the line duration and location information of frost-free refrigerator, and calibration is avoided the peak hour defrost parameter, and storage correlation is avoided the peak hour defrost Data optimize cumulative timing, skip to step 8;
The compressor cumulative time clear 0 is carried out defrost program, skips to step 2 after defrost EP (end of program) by step 8;
Step 9 obtains the self-optimizing parameter of MCU storage, skips to step 10;
Step 10 then uses if sunset was not detected more than 20 hours and returns excellent algorithm calculating parameter and skip to step 9, due to The position that each houshold refrigerator is placed is different, and collected indoor environment luminous intensity is also different, and environment light climate influences It is larger.Therefore we introduce environment light and return major clique number Q and self-optimizing weather conditions filterable agent E in Off-line control scheme (i) mode excludes interference of the subscriber household environment light by extraneous factor, we term it environment light detection returns excellent calculation Method, if it is not, then skipping to step 11;
Step 11 carries out the collected light detection parameter of light detecting sensors excellent algorithm is returned to calculate, skips to step 12;
Step 12, round the clock, calibration is avoided the peak hour defrost parameter for judgement, and storage correlation is avoided the peak hour defrost data, is optimized cumulative timing, is skipped to Step 8.
As a further solution of the present invention: on-line mode is to be obtained when frost-free refrigerator is connected to network by network IP Get frost-free refrigerator region, and according to the network time got, can accurately control frost-free refrigerator paddy electricity when It waits and carries out defrost.
As a further solution of the present invention: off-line mode is to first pass through environment light to judge sunset time, and postpone one The mode of section time starts defrost to control frost-free refrigerator time before 4:00 AM.
As a further solution of the present invention: returning excellent algorithm will to be divided into 60 times in one day and calculate each period Q (i) reference value:;Minimum Q (i) reference value and maximum Q (i) in one day is calculated to join Examine value:, It removes minimum integrate with maximum reference value and acquires Q value:;Its Middle t is that chronomere is minute, and Lum corresponds to the sampled intensity value of indoor environment light, and i is intraday sample point, sampling period It is one day, Q is that environment light returns major clique number.
As a further solution of the present invention: returning the difference Qd (i) of each sample point and difference ratio Q δ (i) in excellent algorithm are as follows:;As Q δ (i) Absolute value is greater than N, is judged as that seasonal weather changes, measurement sets the Q δ (i) as weather conditions:, wherein N value is customized threshold value, and usually desirable 0.5, Qd (i) is neighbouring sample Point deviation, Q δ (i) are neighbouring warm area difference ratio, and E (i) is self-optimizing climatic factor filterable agent.
As a further solution of the present invention: networking module includes but is not limited to WiFi module and bluetooth mould in step 6 Block, the time for on-line mode obtain.
As a further solution of the present invention: light detecting sensors includes but is not limited to photodiode and photo resistance, Detection for off-line mode environment light.
As a further solution of the present invention: the process of defrost program stops working in step 3 for compressor, and blower stops Turn, the first compartment air door is closed, and second compartment air door is closed, and the work of defrost heating tube detects that temperature reaches to defrosting sensor To defrost heating tube cut-off temperature, defrost heating tube stops working, and N minutes waiting defrosting waters of delay fall net rear compressor and open from newly Machine, and for a period of time with high-frequency work, until the first compartment temperature restores to terminate after stablizing.
Due to different regions, different sunset times, network connection status, the home environment equation of light is different and environment temperature etc. is all The multifactor difference for leading to the refrigerator defrost time, into defrost time point not necessarily, but by combine offline with Online defrosting control system, judged by calculating Q value offline in each period dusk as defrost time reference, often There may be differences for a period Q value, but return optimization processing can be effectively by defrosting control in the period of avoiding the peak hour.
Compared with prior art, the beneficial effects of the present invention are:
First, the method for the invention more energy efficient environmental protection compared with the method for existing frost-free refrigerator, and consider different regions, it is different Sunset time, network connection status, the home environment equation of light is different and the factors such as environment temperature, in control by online with from The method that knot is closed improves the applicability for defrost of avoiding the peak hour;
Second, the method returning optimization and missing from row is used on defrosting control strategy of avoiding the peak hour offline, thus reduces user environment, prominent Erroneous judgement of the hair property weather conditions to the paddy electricity period;
Third, the defrost time of the air-cooled frost-free refrigerator of reasonable distribution of the present invention, user is more economic and environment-friendly in use.
Detailed description of the invention
Fig. 1 be frost-free refrigerator self-optimizing avoid the peak hour defrost control method flow chart.
Fig. 2 be frost-free refrigerator self-optimizing avoid the peak hour defrost control method in return the flow chart of excellent algorithm.
Specific embodiment
The technical solution of the patent is explained in further detail With reference to embodiment.
Embodiment 1
A kind of frost-free refrigerator self-optimizing is avoided the peak hour the control method of defrost, the specific steps are as follows:
Step 1, device power, system initialization initialize avoid the peak hour defrost and light detection data;
Step 2 judges whether it is and powers on for the first time, if so, step 3 is skipped to after compressor operation is Ha hours accumulative, if it is not, then Skip to step 4;
Step 3, compressor accumulated running time clear 0 carry out defrost program;
Step 4 skips to step after executing " self-optimizing strategy M " if compressor accumulated running time is greater than the Hmax hour of setting Three, if compressor accumulated running time is not more than Hmax hours, skip to step 5;
Step 5, if the time cumulation that environment temperature is greater than the default maximum temperature Tx of compressor reaches Hb hours preset, if No, then compressor accumulated running time is Hc hours;
Step 6, judges whether frost-free refrigerator is networked by networking module, is, then for on-line mode and skips to step 7, Ray mode is to get frost-free refrigerator region by network IP when frost-free refrigerator is connected to network, and according to getting Network time, can accurately control frost-free refrigerator and carry out defrost when paddy electricity;It is no, then it for off-line mode and skips to Step 9, off-line mode are to first pass through environment light to judge sunset time, and postpone the mode of a period of time to control no rime ice Case time before 4:00 AM starts defrost;
Step 7, obtains the line duration and location information of frost-free refrigerator, and calibration is avoided the peak hour defrost parameter, and storage correlation is avoided the peak hour defrost Data optimize cumulative timing, skip to step 8;
The compressor cumulative time clear 0 is carried out defrost program, skips to step 2 after defrost EP (end of program) by step 8;
Step 9 obtains the self-optimizing parameter of MCU storage, skips to step 10;
Step 10 then uses if sunset was not detected more than 20 hours and returns excellent algorithm calculating parameter and skip to step 9, if It is no, then skip to step 11;
Step 11 carries out the collected light detection parameter of light detecting sensors excellent algorithm is returned to calculate, skips to step 12;
Step 12, round the clock, calibration is avoided the peak hour defrost parameter for judgement, and storage correlation is avoided the peak hour defrost data, is optimized cumulative timing, is skipped to Step 8.
Embodiment 2
A kind of frost-free refrigerator self-optimizing is avoided the peak hour the control method of defrost, the specific steps are as follows:
Step 1, device power, system initialization initialize avoid the peak hour defrost and light detection data;
Step 2 judges whether it is and powers on for the first time, if so, step 3 is skipped to after compressor operation is Ha hours accumulative, if it is not, then Skip to step 4;
Step 3, compressor accumulated running time clear 0 carry out defrost program, and the process of defrost program stops working for compressor, Blower stalling, the first compartment air door are closed, and second compartment air door is closed, and the work of defrost heating tube is detected to defrosting sensor Temperature reaches defrost heating tube cut-off temperature, and defrost heating tube stops working, and N minutes waiting defrosting waters of delay fall net rear compressor From new booting, and for a period of time with high-frequency work, until the first compartment temperature restores to terminate after stablizing;
Step 4 skips to step after executing " self-optimizing strategy M " if compressor accumulated running time is greater than the Hmax hour of setting Three, if compressor accumulated running time is not more than Hmax hours, skip to step 5;
Step 5, if the time cumulation that environment temperature is greater than the default maximum temperature Tx of compressor reaches Hb hours preset, if No, then compressor accumulated running time is Hc hours;
Step 6, judges whether frost-free refrigerator is networked by networking module, is, then for on-line mode and skips to step 7, Ray mode is to get frost-free refrigerator region by network IP when frost-free refrigerator is connected to network, and according to getting Network time, can accurately control frost-free refrigerator and carry out defrost when paddy electricity;It is no, then it for off-line mode and skips to Step 9, off-line mode are to first pass through environment light to judge sunset time, and postpone the mode of a period of time to control no rime ice Case time before 4:00 AM starts defrost;
Step 7, obtains the line duration and location information of frost-free refrigerator, and calibration is avoided the peak hour defrost parameter, and storage correlation is avoided the peak hour defrost Data optimize cumulative timing, skip to step 8;
The compressor cumulative time clear 0 is carried out defrost program, skips to step 2 after defrost EP (end of program) by step 8;
Step 9 obtains the self-optimizing parameter of MCU storage, skips to step 10;
Step 10 then uses if sunset was not detected more than 20 hours and returns excellent algorithm calculating parameter and skip to step 9, Gui You Algorithm is that will be divided into 60 times in one day and calculate Q (i) reference value of each period:;Calculate minimum Q (i) reference value and maximum Q (i) reference value in one day:, remove most It is small to acquire Q value with maximum reference value integral:;Wherein t is Chronomere is minute, and Lum corresponds to the sampled intensity value of indoor environment light, and i is intraday sample point, sampling period one It, Q is that environment light returns major clique number, returns the difference Qd (i) of each sample point and difference ratio Q δ (i) in excellent algorithm are as follows:;As Q δ (i) Absolute value is greater than N, is judged as that seasonal weather changes, measurement sets the Q δ (i) as weather conditions:, wherein N value is customized threshold value, and usually desirable 0.5, Qd (i) is that neighbouring sample point is inclined Difference, Q δ (i) are neighbouring warm area difference ratio, and E (i) is self-optimizing climatic factor filterable agent;If it is not, then skipping to step 11;
Step 11 carries out the collected light detection parameter of light detecting sensors excellent algorithm is returned to calculate, skips to step 12;
Step 12, round the clock, calibration is avoided the peak hour defrost parameter for judgement, and storage correlation is avoided the peak hour defrost data, is optimized cumulative timing, is skipped to Step 8.
The working principle of the invention is: being separately installed with biography in the first compartment of frost-free refrigerator, second compartment, third compartment Sensor is equipped with environment temperature sensor and light detecting sensors on master control borad, and has networking module.
When frost-free refrigerator freezes: when the first compartment needs to freeze, compressor operating, blower air-supply is evaporated to the first compartment Device, the decline of the first compartment temperature;When second compartment needs to freeze, second compartment door opening, blower from the first compartment evaporator, It blows via second compartment air door to second compartment;When third compartment needs to freeze, third compartment door opening, blower is from first Compartment evaporator is blown via third compartment air door to third compartment.
When frost-free refrigerator defrost: compressor stops working, and blower stalling, second compartment air door is closed, third compartment air door It closes, the work of defrost heating tube detects that temperature reaches defrost heating tube cut-off temperature to defrosting sensor, defrost heating tube is stopped Only working, compressor is switched on from new after delay N minutes, and for a period of time with high-frequency work, until the first compartment temperature restores steady After fixed, terminate defrost work.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art The other embodiments being understood that.

Claims (8)

  1. The control method of defrost 1. a kind of frost-free refrigerator self-optimizing is avoided the peak hour, which is characterized in that specific step is as follows:
    Step 1, device power, system initialization initialize avoid the peak hour defrost and light detection data;
    Step 2 judges whether it is and powers on for the first time, if so, step 3 is skipped to after compressor operation is Ha hours accumulative, if it is not, then Skip to step 4;
    Step 3, compressor accumulated running time clear 0 carry out defrost program;
    Step 4 skips to step after executing " self-optimizing strategy M " if compressor accumulated running time is greater than the Hmax hour of setting Three, if compressor accumulated running time is not more than Hmax hours, skip to step 5;
    Step 5, if the time cumulation that environment temperature is greater than the default maximum temperature Tx of compressor reaches Hb hours preset, if No, then compressor accumulated running time is Hc hours;
    Step 6, judges whether frost-free refrigerator is networked by networking module, is, then for on-line mode and skips to step 7;It is no, Then it is off-line mode and skips to step 9;
    Step 7, obtains the line duration and location information of frost-free refrigerator, and calibration is avoided the peak hour defrost parameter, and storage correlation is avoided the peak hour defrost Data optimize cumulative timing, skip to step 8;
    The compressor cumulative time clear 0 is carried out defrost program, skips to step 2 after defrost EP (end of program) by step 8;
    Step 9 obtains the self-optimizing parameter of MCU storage, skips to step 10;
    Step 10 then uses if sunset was not detected more than 20 hours and returns excellent algorithm calculating parameter and skip to step 9, if It is no, then skip to step 11;
    Step 11 carries out the collected light detection parameter of light detecting sensors excellent algorithm is returned to calculate, skips to step 12;
    Step 12, round the clock, calibration is avoided the peak hour defrost parameter for judgement, and storage correlation is avoided the peak hour defrost data, is optimized cumulative timing, is skipped to Step 8.
  2. The control method of defrost 2. frost-free refrigerator self-optimizing according to claim 1 is avoided the peak hour, which is characterized in that described online Mode is when frost-free refrigerator is connected to network to get frost-free refrigerator region by network IP, and according to getting Network time can accurately control frost-free refrigerator and carry out defrost when paddy electricity.
  3. The control method of defrost 3. frost-free refrigerator self-optimizing according to claim 1 or 2 is avoided the peak hour, which is characterized in that described Off-line mode is to first pass through environment light to judge sunset time, and postpone the mode of a period of time to control frost-free refrigerator in morning The time starts defrost before 4 points.
  4. The control method of defrost 4. frost-free refrigerator self-optimizing according to claim 1 is avoided the peak hour, which is characterized in that it is described return it is excellent Algorithm is that will be divided into 60 times in one day and calculate Q (i) reference value of each period:; Calculate minimum Q (i) reference value and maximum Q (i) reference value in one day:, it removes minimum integrate with maximum reference value and acquires Q value:;It is minute that wherein t, which is chronomere, and Lum is corresponding indoor The sampled intensity value of environment light, i are intraday sample point, and the sampling period is one day, and Q is that environment light returns major clique number.
  5. The control method of defrost 5. frost-free refrigerator self-optimizing according to claim 4 is avoided the peak hour, which is characterized in that it is described return it is excellent The difference Qd (i) and difference ratio Q δ (i) of each sample point in algorithm are as follows:;As Q δ (i) Absolute value is greater than N, is judged as that seasonal weather changes, measurement sets the Q δ (i) as weather conditions:, wherein N value is customized threshold value, and Qd (i) is neighbouring sample point deviation, Q δ It (i) is neighbouring warm area difference ratio, E (i) is self-optimizing climatic factor filterable agent.
  6. The control method of defrost 6. frost-free refrigerator self-optimizing according to claim 1 is avoided the peak hour, which is characterized in that the step Networking module includes but is not limited to WiFi module and bluetooth module in six, and the time for on-line mode obtains.
  7. The control method of defrost 7. frost-free refrigerator self-optimizing according to claim 1 is avoided the peak hour, which is characterized in that the light inspection Surveying sensor includes but is not limited to photodiode and photo resistance, the detection for off-line mode environment light.
  8. The control method of defrost 8. frost-free refrigerator self-optimizing according to claim 1 is avoided the peak hour, which is characterized in that the step The process of defrost program stops working in three for compressor, and blower stalling, the first compartment air door is closed, and second compartment air door closes It closes, the work of defrost heating tube, detects that temperature reaches defrost heating tube cut-off temperature to defrosting sensor, defrost heating tube stops Work, N minutes waiting defrosting waters of delay fall net rear compressor from new booting, and for a period of time with high-frequency work, until between first Room temperature is restored to terminate after stablizing.
CN201910167574.0A 2019-03-06 2019-03-06 Control method for self-optimizing peak-staggering defrosting of frostless refrigerator Active CN109764633B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910167574.0A CN109764633B (en) 2019-03-06 2019-03-06 Control method for self-optimizing peak-staggering defrosting of frostless refrigerator

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910167574.0A CN109764633B (en) 2019-03-06 2019-03-06 Control method for self-optimizing peak-staggering defrosting of frostless refrigerator

Publications (2)

Publication Number Publication Date
CN109764633A true CN109764633A (en) 2019-05-17
CN109764633B CN109764633B (en) 2023-05-02

Family

ID=66456654

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910167574.0A Active CN109764633B (en) 2019-03-06 2019-03-06 Control method for self-optimizing peak-staggering defrosting of frostless refrigerator

Country Status (1)

Country Link
CN (1) CN109764633B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113606833A (en) * 2021-08-17 2021-11-05 四川虹美智能科技有限公司 Refrigerator fault prediction system based on LSTM recurrent neural network
CN114485044A (en) * 2022-02-25 2022-05-13 珠海格力电器股份有限公司 Off-peak defrosting control method and device, storage medium and refrigeration equipment

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3894265A (en) * 1974-02-11 1975-07-08 Esquire Inc High intensity lamp dimming circuit
JPS6234039A (en) * 1985-08-07 1987-02-14 Toyo Soda Mfg Co Ltd Fluorescence detector used in immunoassay
CN101131436A (en) * 2006-08-25 2008-02-27 富士胶片株式会社 Method of producing optical film, optical film, polarizer plate, transfer material, liquid crystal display device, and polarized ultraviolet exposure apparatus
CN101957034A (en) * 2010-05-14 2011-01-26 法凯涞玛冷暖设备(杭州)有限公司 Energy storage heat pump air conditioner
CA2705969A1 (en) * 2010-06-04 2011-12-04 Anthony Chan Carusone Optical receiver with monolithically integrated photodetector
CN102420649A (en) * 2010-06-04 2012-04-18 多伦多大学理事会 Optical receiver
CN102748889A (en) * 2012-07-16 2012-10-24 上海博阳制冷设备有限公司 Refrigeration plant with refrigeration and cold storage functions
CN102810300A (en) * 2011-06-01 2012-12-05 泰勒斯公司 Device for controlling light-emitting diodes with very high luminance range for viewing screen
US20130153753A1 (en) * 2011-12-16 2013-06-20 Au Optronics Corp. Light sensing apparatus and adjustment method thereof

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6234039B2 (en) * 2013-03-04 2017-11-22 京セラ株式会社 Measuring apparatus and measuring method

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3894265A (en) * 1974-02-11 1975-07-08 Esquire Inc High intensity lamp dimming circuit
DE2505453A1 (en) * 1974-02-11 1975-08-14 Esquire Inc BRIGHTNESS CONTROL CIRCUIT
JPS6234039A (en) * 1985-08-07 1987-02-14 Toyo Soda Mfg Co Ltd Fluorescence detector used in immunoassay
CN101131436A (en) * 2006-08-25 2008-02-27 富士胶片株式会社 Method of producing optical film, optical film, polarizer plate, transfer material, liquid crystal display device, and polarized ultraviolet exposure apparatus
CN101957034A (en) * 2010-05-14 2011-01-26 法凯涞玛冷暖设备(杭州)有限公司 Energy storage heat pump air conditioner
CA2705969A1 (en) * 2010-06-04 2011-12-04 Anthony Chan Carusone Optical receiver with monolithically integrated photodetector
CN102420649A (en) * 2010-06-04 2012-04-18 多伦多大学理事会 Optical receiver
CN102810300A (en) * 2011-06-01 2012-12-05 泰勒斯公司 Device for controlling light-emitting diodes with very high luminance range for viewing screen
US20130153753A1 (en) * 2011-12-16 2013-06-20 Au Optronics Corp. Light sensing apparatus and adjustment method thereof
CN102748889A (en) * 2012-07-16 2012-10-24 上海博阳制冷设备有限公司 Refrigeration plant with refrigeration and cold storage functions

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113606833A (en) * 2021-08-17 2021-11-05 四川虹美智能科技有限公司 Refrigerator fault prediction system based on LSTM recurrent neural network
CN114485044A (en) * 2022-02-25 2022-05-13 珠海格力电器股份有限公司 Off-peak defrosting control method and device, storage medium and refrigeration equipment
CN114485044B (en) * 2022-02-25 2022-11-25 珠海格力电器股份有限公司 Off-peak defrosting control method and device, storage medium and refrigeration equipment

Also Published As

Publication number Publication date
CN109764633B (en) 2023-05-02

Similar Documents

Publication Publication Date Title
CN106931693B (en) The defrosting control system and control method of air source heat pump or air-to-water heat pump
CN103486781B (en) Air-conditioning defrosting method and device
US20090018705A1 (en) Demand control device
US8869546B2 (en) Refrigeration demand response recovery
JP5272545B2 (en) Store power supply equipment
CN105864983A (en) Air conditioner control method
US20120042672A1 (en) Air conditioner control apparatus, cooling system, and air conditioner control program
CN109869867A (en) A kind of control method of electric appliance, device, storage medium and electric appliance
US10254735B2 (en) Network system and method for controlling the same
CN107796167B (en) Refrigerator and control device and control method thereof
CN104896665A (en) Control method and device for air conditioner
CN102226566B (en) Intelligent energy-conservation controller of air-conditioner and control method thereof
CN109764633A (en) A kind of frost-free refrigerator self-optimizing is avoided the peak hour the control method of defrost
CN105157322A (en) Frostless air-cooled refrigerator comprising defrosting rules
US20130204444A1 (en) Network system
US9664433B2 (en) Refrigerator with energy consumption optimization using adaptive fan delay
CN105242649A (en) Energy efficiency monitoring and energy-saving system for communication base station, and implementation method therefor
EP3563097B1 (en) A variable speed compressor based ac system and control method
CN203940686U (en) A kind of high in the clouds detection system of refrigeration for refrigerator fault
US20160258673A1 (en) Refrigerator with improved energy management mode and method for controlling the refrigerator
CN114777288A (en) Defrosting method and device for air conditioner external unit
CN111442477B (en) Method for automatically adjusting operation mode of air conditioner based on illuminance and air conditioner
CN102854379A (en) System and method for auxiliary measuring of power consumption of electrical appliance
CN111271920A (en) Defrosting control method for air-cooled refrigerator
CN113432352B (en) Air source heat pump defrosting regulation and control method and system based on 5G Internet of things technology

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant