CN113758072A - Refrigeration energy-saving control method and refrigeration energy-saving control system based on intelligent defrosting - Google Patents
Refrigeration energy-saving control method and refrigeration energy-saving control system based on intelligent defrosting Download PDFInfo
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- CN113758072A CN113758072A CN202111057739.2A CN202111057739A CN113758072A CN 113758072 A CN113758072 A CN 113758072A CN 202111057739 A CN202111057739 A CN 202111057739A CN 113758072 A CN113758072 A CN 113758072A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
- F25B47/00—Arrangements for preventing or removing deposits or corrosion, not provided for in another subclass
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
- F25B49/00—Arrangement or mounting of control or safety devices
- F25B49/02—Arrangement or mounting of control or safety devices for compression type machines, plants or systems
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Abstract
The invention relates to a refrigeration energy-saving control method and a refrigeration energy-saving control system based on intelligent defrosting, wherein the control system comprises: the first temperature sensor is used for detecting the indoor return air temperature Ta (i) entering the fan; a second temperature sensor for detecting a tube wall surface temperature te (i) at the evaporator outlet; the microprocessor is used for acquiring indoor return air temperature Ta (i) and evaporator outlet surface temperature Te (i); calculating a frosting temperature difference delta T (i) ═ Ta (i) — Te (i), and judging whether the system meets frosting conditions; and performing self-adaptive defrosting control according to the frosting condition of the system. The invention can realize defrosting according to the requirement and achieve the aims of saving energy and reducing consumption.
Description
Technical Field
The invention relates to the technical field of refrigeration, in particular to a refrigeration energy-saving control method and a refrigeration energy-saving control system based on intelligent defrosting.
Background
In the application of refrigeration systems such as fresh keeping, refrigeration, freezing and the like, because the refrigeration temperature is lower than zero and the humidity in the air, the phenomenon of frosting on the surface of an evaporator is inevitable. After frosting, the wind channel blocks, and heat transfer resistance increases, seriously influences the refrigeration efficiency of system, and the energy consumption is high, and when more serious, the fan blade can be frozen in frosting, and the fan motor probably burns out, consequently must defrost.
The current industry mainly adopts timing and periodic automatic defrosting control. For example, in a low-temperature refrigeration house, the accumulated running time of a common compressor is started for defrosting once every 3 to 6 hours; defrosting is carried out for 20 to 50 minutes each time.
The automatic defrosting with fixed time and fixed period has the following main problems:
1. the defrosting times are too many, and unnecessary defrosting exists. Namely, the system can start defrosting regularly under the condition of no frosting. The refrigeration system needs to run longer to absorb this portion of the heat, causing additional energy consumption.
2. The defrosting process and the defrosting result can not be detected, and the conditions of excessive defrosting and insufficient defrosting exist. The defrosting time is too long, and extra heat is generated; the defrosting time is insufficient, and the defrosting is not clean. The low operation efficiency and high energy consumption of the system are increased.
3. The time at which defrosting occurs is not an optimal time period. Day and night change within a day, ambient temperature changes can influence the temperature rise of condenser, and the temperature rise of condenser can cause condensing pressure to rise, carries out to cause following influence to the system:
(1) the condensing temperature of the refrigerating machine is increased, so that the condensing pressure is increased along with the increase of the condensing temperature, and the exhaust temperature of the refrigerating compressor is increased along with the increase of the condensing temperature.
(2) The unit refrigerating capacity of the refrigerating machine is reduced, the air suction specific volume is unchanged, and the unit volume refrigerating capacity is reduced.
(3) The theoretical specific work of the refrigerator is increased.
(4) If the change of the volumetric efficiency of the compressor is ignored, the mass flow of the refrigerant is not changed, all the refrigerating capacity of the refrigerating machine is necessarily reduced, and the theoretical power of the compressor is necessarily increased.
It can be seen that when the evaporation temperature of the refrigerator is unchanged and the condensation temperature is high, the refrigerating capacity of the same refrigerator is reduced, the consumed power is increased, and the refrigerating coefficient of the refrigerator is directly reduced.
Disclosure of Invention
In order to solve the problems, the invention provides a refrigeration energy-saving control method and a refrigeration energy-saving control system based on intelligent defrosting, which can realize defrosting according to needs and achieve the purposes of energy conservation and consumption reduction.
The technical solution of the invention is as follows:
the invention provides a refrigeration energy-saving control method based on intelligent defrosting, which comprises the following steps:
and 2, performing self-adaptive defrosting control according to the detected frosting condition of the system.
The step 1 is to detect whether the system is frosted; the detection algorithm comprises the following steps:
step 1.1, the detection algorithm starts to run;
step 1.2, detecting whether a system starts refrigeration or not; if yes, turning to step 1.3;
step 1.3, the microprocessor collects the indoor return air temperature Ta (i) and the evaporator outlet surface temperature Te (i) every second;
step 1.4, calculating the frosting temperature difference Δ t (i) ═ ta (i) — te (i); if the frosting temperature difference delta T (i) > is greater than the preset temperature T1, the frosting condition is met, the frosting accumulation time is increased by 1 second, and the Timer is equal to Timer + 1; if not, the frosting condition is not met, the Timer is reset to zero, the Timer is equal to 0, and the step 1.2 is carried out;
step 1.5, judging whether the accumulated time Timer exceeds a preset time period t 1; if the Timer is greater than t1, starting defrosting; if not, go to step 1.1.
The step 2 is used for carrying out self-adaptive defrosting control according to the detected frosting condition of the system; wherein the adaptive defrosting control comprises the following steps:
step 2.1, after the frosting of the system is detected, entering a self-adaptive defrosting stage and starting defrosting;
step 2.2, controlling a heater to defrost according to default time or the last updated defrosting time T (i);
step 2.3, after the defrosting time is finished, starting refrigeration again, and detecting and calculating a frosting temperature difference delta T (i) according to a detection algorithm;
step 2.4, if the frosting temperature difference Δ T (i) > is the preset temperature T2, increasing the time step a for the next defrosting time, i.e. T (i +1) ═ T (i) + a, and jumping to step 1;
if the frosting temperature difference Δ T (i) < the preset temperature T2, the next defrosting time is decreased by the time step a, i.e. T (i +1) ═ T (i) — a, and the step 1 is skipped;
and repeating the step 1 and the step 2, and circulating the steps until the defrosting time T is stabilized to be close to the optimal point.
Further, the control method also comprises the step of selecting the optimal defrosting time to control:
dividing the time of a day into n regions, wherein n is more than 1 and less than 13, and sequencing the regions in a sequence from low to high according to historical statistical data of the environmental temperature of each region;
when the frosting of the system is detected, detecting a zone to which the current time slice belongs through a real-time clock;
if the historical environment temperature of the area to which the current time slice belongs is lower, entering a self-adaptive defrosting stage and starting defrosting;
and if the historical ambient temperature of the area to which the current time slice belongs is higher, delaying defrosting to the next area.
The invention provides a refrigeration energy-saving control system based on intelligent defrosting, which comprises:
the first temperature sensor is used for detecting the indoor return air temperature Ta (i) entering the fan;
a second temperature sensor for detecting a tube wall surface temperature te (i) at the evaporator outlet;
the microprocessor is used for acquiring indoor return air temperature Ta (i) and evaporator outlet surface temperature Te (i); calculating a frosting temperature difference delta T (i) ═ Ta (i) — Te (i), and judging whether the system meets frosting conditions; and performing self-adaptive defrosting control according to the frosting condition of the system.
The microprocessor judges whether the system meets the frosting condition, and specifically comprises the following steps:
if the frosting temperature difference delta T (i) > is greater than the preset temperature T1, the frosting condition is met, the frosting accumulation time is increased by 1 second, and the Timer is equal to Timer + 1; if not, the frosting condition is not met, the Timer is reset to zero, and the Timer is equal to 0.
The microprocessor carries out self-adaptive defrosting control according to the frosting condition of the system, and specifically comprises the following steps:
judging whether the accumulated time Timer exceeds a preset time period t 1; if the Timer is greater than t1, starting defrosting;
controlling a heater to defrost according to default time or the last updated defrosting time T (i);
after defrosting time is finished, refrigerating is started again, and a frosting temperature difference delta T (i) is calculated; if the frosting temperature difference Δ T (i) > the preset temperature T2, the next defrosting time is increased by the time step a, i.e. T (i +1) ═ T (i) + a; if the frosting temperature difference Δ T (i) < the preset temperature T2, the next defrosting time is decreased by the time step a, i.e. T (i +1) ═ T (i) — a; and circulating until the defrosting time T is stabilized near the optimal point.
Further, the control system also comprises a real-time clock, and the microprocessor selects the optimal defrosting time to control; the method specifically comprises the following steps:
dividing the time of a day into n regions, wherein n is more than 1 and less than 13, and sequencing the regions in a sequence from low to high according to historical statistical data of the environmental temperature of each region;
when the frosting of the system is detected, detecting a region to which the current time slice belongs through the real-time clock;
if the historical environment temperature of the area to which the current time slice belongs is lower, entering a self-adaptive defrosting stage and starting defrosting;
and if the historical ambient temperature of the area to which the current time slice belongs is higher, delaying defrosting to the next area.
The invention has the beneficial effects that:
(1) the refrigeration control method provided by the invention is a closed-loop defrosting control system based on frosting detection, and the control method can effectively reduce unnecessary defrosting times and realize defrosting as required; the defrosting power is reduced, and meanwhile, the running time of the compressor is reduced, so that the purposes of saving energy and reducing consumption are achieved.
(2) And the closed-loop self-adaptive regulation control is adopted, so that excessive defrosting and insufficient defrosting are avoided, and the defrosting process is optimized.
(3) By controlling the defrosting time period, the time period with the lowest refrigerating capacity in one day is avoided, and defrosting is carried out in the time period with the highest system efficiency, so that the indoor temperature recovery time after defrosting is shortened, and the energy consumption is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a block diagram of a refrigeration energy-saving control system based on intelligent defrosting according to an embodiment of the present invention;
FIG. 2 is a first graph illustrating a first trend of curves according to an embodiment of the present invention;
FIG. 3 is a second graph illustrating a trend of curves according to an embodiment of the present invention;
FIG. 4 is a flow chart of frost detection for the system;
FIG. 5 is a block diagram of a system adaptive defrost control;
FIG. 6 is a flow chart of the adaptive defrosting control of the system;
FIG. 7 is a graph showing the temperature profile of a freezer during a day;
FIG. 8 is a block diagram of the selection control of the optimal defrosting time of the system.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the present invention, the terms "first", "second", and the like are mainly used for distinguishing different devices, elements or components (the specific types and configurations may be the same or different), and are not used for indicating or implying relative importance or number of the indicated devices, elements or components. "plurality" means two or more unless otherwise specified.
As shown in fig. 1, an embodiment of the present invention provides a refrigeration energy-saving control system block diagram based on intelligent defrosting. The control system includes:
the first temperature sensor is used for detecting the indoor return air temperature Ta (i) entering the fan; the fan is fixed at a distance of about 30-50 cm from an air inlet at the back of the fan, and the height of the fan is 2/3.
A second temperature sensor for detecting a tube wall surface temperature te (i) at the evaporator outlet; and the fins are fixed on the fins of the outlet pipe wall and are about 3-5 cm away from the edge.
The microprocessor is used for acquiring indoor return air temperature Ta (i) and evaporator outlet surface temperature Te (i); calculating a frosting temperature difference delta T (i) ═ Ta (i) — Te (i), and judging whether the system meets frosting conditions; and performing self-adaptive defrosting control according to the frosting condition of the system.
The system starts refrigeration, when a refrigerant flows through the evaporator and is not frosted, the cold quantity in the pipe can be taken away and transmitted to indoor air, the temperature difference between the surface temperature Te of the outlet of the evaporator and the return air temperature Ta can be stably kept in a small range (<2 ℃), and the descending curve is shown in figure 2.
When the surface of the evaporator begins to frost, the thermal resistance is increased, the cold energy cannot be exchanged into the air, the pipe wall temperature Te of the evaporator is rapidly reduced, the return air temperature Ta is slowly reduced, and therefore a very large temperature difference (>6 ℃) is formed, and the temperature difference is increased along with the deterioration of the frost, as shown in fig. 3.
The degree of frosting of the system can thus be detected by the temperature difference.
The microprocessor judges whether the system meets the frosting condition, and specifically comprises the following steps:
if the frosting temperature difference delta T (i) > is greater than the preset temperature T1, the frosting condition is met, the frosting accumulation time is increased by 1 second, and the Timer is equal to Timer + 1; if not, the frosting condition is not met, the Timer is reset to zero, and the Timer is equal to 0.
The microprocessor carries out self-adaptive defrosting control according to the frosting condition of the system, and specifically comprises the following steps:
judging whether the accumulated time Timer exceeds a preset time period t 1; if the Timer is greater than t1, starting defrosting;
controlling a heater to defrost according to default time or the last updated defrosting time T (i);
after defrosting time is finished, refrigerating is started again, and a frosting temperature difference delta T (i) is calculated; if the frosting temperature difference Δ T (i) > the preset temperature T2, the next defrosting time is increased by the time step a, i.e. T (i +1) ═ T (i) + a; if the frosting temperature difference Δ T (i) < the preset temperature T2, the next defrosting time is decreased by the time step a, i.e. T (i +1) ═ T (i) — a; and circulating until the defrosting time T is stabilized near the optimal point.
It should be noted that, in this embodiment, the preset temperature is 2 ℃, and the set time step is 3 minutes. This is also taken as an example in the refrigeration energy saving control method.
Further, the control system also comprises a real-time clock, and the microprocessor selects the optimal defrosting time to control; the method specifically comprises the following steps:
dividing the time of a day into n regions, wherein n is more than 1 and less than 13, and sequencing the regions in a sequence from low to high according to historical statistical data of the environmental temperature of each region;
when the frosting of the system is detected, detecting a region to which the current time slice belongs through the real-time clock;
if the historical environment temperature of the area to which the current time slice belongs is lower, entering a self-adaptive defrosting stage and starting defrosting;
and if the historical ambient temperature of the area to which the current time slice belongs is higher, delaying defrosting to the next area.
The optimal defrosting time control is to select a sheet area with lower ambient temperature for defrosting control.
The embodiment of the invention provides a refrigeration energy-saving control method based on intelligent defrosting, which comprises the following steps:
the frosting detection flow chart of the system, namely the detection algorithm, is shown in figure 4. The detection algorithm comprises the following steps:
step 1.1, the detection algorithm starts to run;
step 1.2, detecting whether a system starts refrigeration or not; if yes, turning to step 1.3;
step 1.3, the microprocessor collects the indoor return air temperature Ta (i) and the evaporator outlet surface temperature Te (i) every second;
step 1.4, calculating the frosting temperature difference Δ t (i) ═ ta (i) — te (i); if the frosting temperature difference delta T (i) > is greater than the preset temperature T1, the frosting condition is met, the frosting accumulation time is increased by 1 second, and the Timer is equal to Timer + 1; if not, the frosting condition is not met, the Timer is reset to zero, the Timer is equal to 0, and the step 1.2 is carried out;
step 1.5, judging whether the accumulated time Timer exceeds a preset time period t 1; if the Timer is greater than t1, starting defrosting; if not, go to step 1.1.
And 2, performing self-adaptive defrosting control according to the detected frosting condition of the system.
FIG. 5 is a block diagram of a system adaptive defrost control; FIG. 6 is a flow chart of the adaptive defrosting control of the system; the adaptive defrosting control comprises the following steps:
step 2.1, entering a self-adaptive defrosting stage after the frosting of the system is detected, and starting a defrosting process;
step 2.2, controlling a heater to defrost according to default time or the last updated defrosting time T (i);
step 2.3, after defrosting time is finished, refrigerating again, and detecting and calculating a frosting temperature difference delta T (i) according to a detection algorithm;
step 2.4, if the frosting temperature difference Δ T (i) >2 ℃ (the preset temperature in this embodiment is 2 ℃), increasing the next defrosting time by 3 minutes (the time step set in this embodiment is 3 minutes), that is, T (i +1) ═ T (i) +3 minutes, and skipping to step 1; repeating the step 1 and the step 2, and circulating until the frosting temperature difference delta T (i) is less than 2 ℃;
if the frosting temperature difference is delta T (i) <2 ℃, the next defrosting time is reduced by 3 minutes, namely T (i +1) ═ T (i) — 3 minutes, and the step 1 is skipped; repeating the step 1 and the step 2, and circulating the steps until the frosting temperature difference delta T (i) is more than 2 ℃;
finally, the defrosting time T stabilizes around the optimum point.
Further, the control method also comprises the step of selecting the optimal defrosting time to control:
dividing the time of a day into n regions, wherein n is more than 1 and less than 13, and sequencing the regions in a sequence from low to high according to historical statistical data of the environmental temperature of each region;
when the frosting of the system is detected, detecting a zone to which the current time slice belongs through a real-time clock;
if the historical environment temperature of the area to which the current time slice belongs is lower, entering a self-adaptive defrosting stage and starting defrosting;
and if the historical ambient temperature of the area to which the current time slice belongs is higher, delaying defrosting to the next area.
In this embodiment, fig. 7 is a graph showing a temperature profile of a certain refrigerator within one day. As can be seen from the figure, compared with the temperature reduction curve at about 4 and 5 am and the temperature reduction curve at 2-4 pm, the refrigeration capacity (cooling speed and time) of the former system is obviously better than that of the latter system, so the optimal defrosting time is set to be 4-5 am.
Therefore, the present embodiment divides the time of a day into four zones, wherein the ambient temperature is at most in the third zone, and defrosting should be avoided in the time zone; the first interval is the interval with the lowest temperature in one day, and defrosting is controlled in the interval as much as possible.
FIG. 8 is a block diagram of the selection control of the optimal defrosting time of the system. When the frosting of the system is detected, detecting a zone to which the current time slice belongs through a real-time clock;
if the current time slice is the first zone, entering a self-adaptive defrosting stage and starting defrosting;
if the current time slice is the second time slice area, entering a self-adaptive defrosting stage and starting defrosting;
if the current time slice is the third area, the defrosting is postponed until the fourth area;
and if the current time slice is the fourth time slice, delaying defrosting to the first time slice.
The portable warming device disclosed by the embodiment of the invention is described in detail, a specific example is applied in the description to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the portable warming device and the core idea thereof; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (8)
1. A refrigeration energy-saving control method based on intelligent defrosting is characterized by comprising the following steps:
step 1, detecting whether a system is frosted: acquiring the ambient temperature within a set time, calculating the frosting temperature difference, and judging whether the system meets the frosting condition;
and 2, performing self-adaptive defrosting control according to the detected frosting condition of the system.
2. The refrigeration energy-saving control method according to claim 1, wherein the step 1 detects whether a system is frosted; the detection algorithm comprises the following steps:
step 1.1, the detection algorithm starts to run;
step 1.2, detecting whether a system starts refrigeration or not; if yes, turning to step 1.3;
step 1.3, the microprocessor collects the indoor return air temperature Ta (i) and the evaporator outlet surface temperature Te (i) every second;
step 1.4, calculating the frosting temperature difference Δ t (i) ═ ta (i) — te (i); if the frosting temperature difference delta T (i) > is greater than the preset temperature T1, the frosting condition is met, the frosting accumulation time is increased by 1 second, and the Timer is equal to Timer + 1; if not, the frosting condition is not met, the Timer is reset to zero, the Timer is equal to 0, and the step 1.2 is carried out;
step 1.5, judging whether the accumulated time Timer exceeds a preset time period t 1; if the Timer is greater than t1, starting defrosting; if not, go to step 1.1.
3. The refrigeration energy-saving control method according to claim 2, wherein the step 2 is an adaptive defrosting control according to the detected frosting condition of the system; wherein the adaptive defrosting control comprises the following steps:
step 2.1, after the frosting of the system is detected, entering a self-adaptive defrosting stage and starting defrosting;
step 2.2, controlling a heater to defrost according to default time or the last updated defrosting time T (i);
step 2.3, after the defrosting time is finished, starting refrigeration again, and detecting and calculating a frosting temperature difference delta T (i) according to a detection algorithm;
step 2.4, if the frosting temperature difference Δ T (i) > is the preset temperature T2, increasing the time step a for the next defrosting time, i.e. T (i +1) ═ T (i) + a, and jumping to step 1;
if the frosting temperature difference Δ T (i) < the preset temperature T2, the next defrosting time is decreased by the time step a, i.e. T (i +1) ═ T (i) — a, and the step 1 is skipped;
and repeating the step 1 and the step 2, and circulating the steps until the defrosting time T is stabilized to be close to the optimal point.
4. The refrigeration energy-saving control method according to claim 1, further comprising the step of selecting an optimal defrosting time for control:
dividing the time of a day into n regions, wherein n is more than 1 and less than 13, and sequencing the regions in a sequence from low to high according to historical statistical data of the environmental temperature of each region;
when the frosting of the system is detected, detecting a zone to which the current time slice belongs through a real-time clock;
if the historical environment temperature of the area to which the current time slice belongs is lower, entering a self-adaptive defrosting stage and starting defrosting;
and if the historical ambient temperature of the area to which the current time slice belongs is higher, delaying defrosting to the next area.
5. The refrigeration energy-saving control system based on intelligent defrosting is characterized by comprising:
the first temperature sensor is used for detecting the indoor return air temperature Ta (i) entering the fan;
a second temperature sensor for detecting a tube wall surface temperature te (i) at the evaporator outlet;
the microprocessor is used for acquiring indoor return air temperature Ta (i) and evaporator outlet surface temperature Te (i); calculating a frosting temperature difference delta T (i) ═ Ta (i) — Te (i), and judging whether the system meets frosting conditions; and performing self-adaptive defrosting control according to the frosting condition of the system.
6. The refrigeration energy-saving control system according to claim 5, wherein the microprocessor judges whether the system satisfies a frosting condition, specifically:
if the frosting temperature difference delta T (i) > is greater than the preset temperature T1, the frosting condition is met, the frosting accumulation time is increased by 1 second, and the Timer is equal to Timer + 1; if not, the frosting condition is not met, the Timer is reset to zero, and the Timer is equal to 0.
7. The refrigeration energy-saving control system according to claim 6, wherein the microprocessor performs adaptive defrosting control according to the frosting condition of the system, and specifically comprises:
judging whether the accumulated time Timer exceeds a preset time period t 1; if the Timer is greater than t1, starting defrosting;
controlling a heater to defrost according to default time or the last updated defrosting time T (i);
after defrosting time is finished, refrigerating is started again, and a frosting temperature difference delta T (i) is calculated; if the frosting temperature difference Δ T (i) > the preset temperature T2, the next defrosting time is increased by the time step a, i.e. T (i +1) ═ T (i) + a; if the frosting temperature difference Δ T (i) < the preset temperature T2, the next defrosting time is decreased by the time step a, i.e. T (i +1) ═ T (i) — a; and circulating until the defrosting time T is stabilized near the optimal point.
8. The refrigeration energy saving control system of claim 5, wherein the control system further comprises a real time clock, and the microprocessor selects the optimal defrosting time for control; the method specifically comprises the following steps:
dividing the time of a day into n regions, wherein n is more than 1 and less than 13, and sequencing the regions in a sequence from low to high according to historical statistical data of the environmental temperature of each region;
when the frosting of the system is detected, detecting a region to which the current time slice belongs through the real-time clock;
if the historical environment temperature of the area to which the current time slice belongs is lower, entering a self-adaptive defrosting stage and starting defrosting;
and if the historical ambient temperature of the area to which the current time slice belongs is higher, delaying defrosting to the next area.
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2021
- 2021-09-09 CN CN202111057739.2A patent/CN113758072A/en not_active Withdrawn
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| JPH02136638A (en) * | 1988-11-18 | 1990-05-25 | Fujitsu General Ltd | Control method for defrosting in air conditioner |
| JP2010164243A (en) * | 2009-01-15 | 2010-07-29 | Denso Corp | Refrigerating device for vehicle |
| US20110088415A1 (en) * | 2009-10-21 | 2011-04-21 | Diehl Ako Stiftung & Co. Kg | Adaptive defrost controller for a refrigeration device |
| CN102141334A (en) * | 2011-04-22 | 2011-08-03 | 朱云良 | Fin frosting detection device of refrigeration plant and automatic defroster applied by same |
| CN111059698A (en) * | 2019-12-09 | 2020-04-24 | 珠海格力电器股份有限公司 | Air conditioner electric heating defrosting control method, computer readable storage medium and air conditioner |
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