CN116928944A - Multi-partition refrigeration house operation control method and system - Google Patents
Multi-partition refrigeration house operation control method and system Download PDFInfo
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- 238000005192 partition Methods 0.000 title claims abstract description 331
- 238000005057 refrigeration Methods 0.000 title claims abstract description 187
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000005457 optimization Methods 0.000 claims abstract description 35
- 238000001816 cooling Methods 0.000 claims description 74
- 238000013461 design Methods 0.000 claims description 15
- 238000012546 transfer Methods 0.000 claims description 10
- 230000000694 effects Effects 0.000 abstract description 48
- 230000008569 process Effects 0.000 abstract description 14
- 239000002699 waste material Substances 0.000 abstract description 6
- 239000004973 liquid crystal related substance Substances 0.000 description 12
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Classifications
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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
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D13/00—Stationary devices, e.g. cold-rooms
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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
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/005—Mounting of control devices
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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
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2700/00—Means for sensing or measuring; Sensors therefor
- F25D2700/12—Sensors measuring the inside temperature
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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Abstract
The application provides a multi-partition refrigeration house operation control method and system, and relates to the technical field of refrigeration; the method comprises the following steps: acquiring initial temperature, ending temperature and set temperature of a plurality of partitions in the refrigeration house in an ith control period; determining adjacent partitions and thermal conductivity coefficients of each partition; determining the refrigeration power of each partition in the ith control period; determining the maximum refrigeration power of each partition and the maximum value of the total refrigeration power of the refrigeration house; and obtaining the predicted refrigeration power of each partition of the (i+1) th control period according to the initial temperature, the ending temperature, the set temperature, the heat conduction coefficient, the refrigeration power, the maximum refrigeration power and the maximum total refrigeration power, and refrigerating each partition in the refrigeration house. According to the application, the influence of heat conduction between adjacent partitions can be considered in the optimization process so as to determine the optimal predicted refrigeration power, and the waste of electric energy can be reduced under the condition of improving the refrigeration effect of each partition.
Description
Technical Field
The application relates to the technical field of refrigeration, in particular to a multi-partition refrigeration house operation control method and system.
Background
The refrigerator may have a plurality of compartments, and may store different goods, respectively, so that the set temperatures of the respective compartments may be different from each other, and thus, the respective compartments may be cooled by different cooling powers, respectively. However, heat exchange may be performed between adjacent partitions, and particularly, when there is a temperature difference between the adjacent partitions, the cooling effect of the partitions may be affected by the temperature difference of the adjacent partitions. In the related art, such an influence is not considered, and there may be a waste of electric energy or a bad refrigeration effect.
The information disclosed in the background section of the application is only for enhancement of understanding of the general background of the application and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The application provides a multi-partition refrigeration house operation control method and system, which can solve the problems of electric energy waste or poor refrigeration effect caused by heat exchange between adjacent partitions.
According to a first aspect of an embodiment of the present application, there is provided a multi-partition refrigerator operation control method, including:
acquiring initial temperatures of a plurality of partitions in a refrigerator at the beginning of an ith control period, finishing temperatures of the partitions at the end of the ith control period and set temperatures of the partitions, wherein i is a positive integer;
determining adjacent partitions of each partition and heat conduction coefficients between the adjacent partitions according to the design information of the refrigeration house;
determining the refrigeration power of each partition in the ith control period;
determining the maximum refrigeration power of each partition of the refrigeration house and the maximum total refrigeration power of the refrigeration house according to the design information of the refrigeration house;
obtaining the predicted refrigeration power of each partition of the (i+1) th control period according to the initial temperature at the beginning of the (i) th control period, the ending temperature at the ending of the (i) th control period, the set temperature of each partition, the heat conduction coefficient between adjacent partitions, the refrigeration power of each partition in the (i) th control period, the maximum refrigeration power of each partition and the maximum total refrigeration power;
and in the (i+1) th control period, refrigerating each partition in the refrigeration house by using the predicted refrigerating power of each partition in the (i+1) th control period.
According to a second aspect of embodiments of the present application, there is provided a multi-partition freezer operation control system, the system comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring initial temperatures of a plurality of partitions in a refrigerator at the beginning of an ith control period, finishing temperatures of the partitions at the end of the ith control period and set temperatures of the partitions, wherein i is a positive integer;
the heat conduction coefficient module is used for determining adjacent partitions of each partition and heat conduction coefficients between the adjacent partitions according to the design information of the refrigeration house;
a first determining module, configured to determine a refrigeration power of each partition in an ith control period;
the second determining module is used for determining the maximum refrigeration power of each partition of the refrigeration house and the maximum total refrigeration power of the refrigeration house according to the design information of the refrigeration house;
the optimizing module is used for obtaining the predicted refrigeration power of each partition of the (i+1) th control period according to the initial temperature at the beginning of the (i) th control period, the ending temperature at the ending of the (i) th control period, the set temperature of each partition, the heat conduction coefficient between adjacent partitions, the refrigeration power of each partition in the (i) th control period, the maximum refrigeration power of each partition and the maximum total refrigeration power;
and the refrigerating module is used for refrigerating each partition in the refrigeration house by using the predicted refrigerating power of each partition in the (i+1) th control period.
The beneficial effects are that: according to the multi-partition refrigeration house operation control method provided by the embodiment of the application, the partitions adjacent to each partition and the heat conduction coefficient between the adjacent partitions can be determined, so that the influence of heat conduction between the adjacent partitions is considered in the optimization process, the optimal predicted refrigeration power is determined, and the waste of electric energy can be reduced under the condition of improving the refrigeration effect of each partition. In the process of solving the optimal predicted refrigeration power, whether the temperature in each partition reaches or approaches to the set temperature can be judged, if the temperature does not reach or approaches to the set temperature, the lowest temperature which can be theoretically reached by the partition in the next control period can be solved, and the temperature is used as a data basis to set the target temperature, so that the refrigeration efficiency can be improved, and the refrigeration effect is ensured. And the influence of the heat conduction effect of the adjacent subareas on the refrigerating effect can be equivalent to the influence of the heat conduction effect of the adjacent subareas on the refrigerating power of the subareas through the heat conduction coefficient, so that the constraint condition of the refrigerating optimization model is obtained, the influence of the heat conduction effect of the adjacent subareas is considered in the optimization process, the overall refrigerating effect of a plurality of subareas of the refrigerator is improved, and the overall energy consumption is reduced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed. Other features and aspects of the present application will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
In order to more clearly illustrate the embodiments of the application or the solutions of the prior art, the drawings which are necessary for the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the application, and that other embodiments may be obtained from these drawings without inventive effort to a person skilled in the art,
FIG. 1 schematically illustrates a flow diagram of a multi-partition freezer operation control method in accordance with an embodiment of the application;
fig. 2 schematically illustrates a multi-zone freezer operation control system according to an embodiment of the application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The technical scheme of the application is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
Fig. 1 schematically shows a flow chart of a multi-partition refrigerator operation control method according to an embodiment of the present application, the method including:
step S101, acquiring initial temperatures of a plurality of partitions in a refrigerator at the beginning of an ith control period, finishing temperatures of the partitions at the end of the ith control period and set temperatures of the partitions, wherein i is a positive integer;
step S102, determining adjacent partitions of each partition and heat conduction coefficients between the adjacent partitions according to design information of the refrigeration house;
step S103, determining the refrigeration power of each partition in the ith control period;
step S104, determining the maximum refrigeration power of each partition of the refrigeration house and the maximum total refrigeration power of the refrigeration house according to the design information of the refrigeration house;
step S105, obtaining the predicted refrigeration power of each partition of the (i+1) th control period according to the initial temperature at the beginning of the (i) th control period, the ending temperature at the ending of the (i) th control period, the set temperature of each partition, the heat conduction coefficient between adjacent partitions, the refrigeration power of each partition in the (i) th control period, the maximum refrigeration power of each partition and the maximum total refrigeration power;
and step S106, in the (i+1) th control period, refrigerating each partition in the refrigeration house by using the predicted refrigerating power of each partition in the (i+1) th control period.
According to the multi-partition refrigeration house operation control method provided by the embodiment of the application, the partitions adjacent to each partition and the heat conduction coefficient between the adjacent partitions can be determined, so that the influence of heat conduction between the adjacent partitions is considered in the optimization process, the optimal predicted refrigeration power is determined, and the waste of electric energy can be reduced under the condition of improving the refrigeration effect of each partition.
According to an embodiment of the present application, in step S101, the refrigerator may include a plurality of partitions for storing different types of goods, respectively, so that the set temperatures in the different partitions may be different from each other. In addition, since the set temperatures in the different partitions are different, and the volumes in the different partitions may be different, the amount of the stored goods may be different, and thus, the cooling powers of the different partitions may be different from each other.
According to one embodiment of the present application, the ith control period may be a control period just ended, and various data within the control period may be collected, for example, an initial temperature of each partition at the start of the ith control period, an ending temperature of each partition at the end of the ith control period, and a set temperature of each partition. Wherein the temperature change of each partition in the ith control period can be determined based on the initial temperature and the ending temperature. Based on the end temperature and the set temperature, a gap between the measured temperature and the set temperature for each zone may be determined. The present application is not limited in the use of the above data. The duration of the control period may be 1 minute, 5 minutes, 10 minutes, etc., and the present application is not limited to the duration of the control period.
According to one embodiment of the present application, in step S102, design information of the refrigerator may be acquired, so that those partitions are determined to be adjacent partitions based on the design information, and heat transfer coefficients between the adjacent partitions may be determined based on a heat insulating material between the adjacent partitions, or the heat transfer coefficients between the adjacent partitions may be determined based on experiments, for example.
According to one embodiment of the application, the heat transfer rate between two adjacent partitions is related to the temperature difference between the adjacent partitions, the greater the temperature difference, the faster the heat transfer rate. Therefore, the adjacent two partitions can be cooled respectively, the two partitions can be made to reach two temperatures respectively, the temperature falling rates of the two partitions under the action of the cooling power of the two partitions can be measured, then, the cooling of one partition can be stopped, the cooling of the other partition can be continued, and then the temperature falling rates of the two partitions can be determined again, in this case, the influence of the heat exchange between the adjacent partitions on the temperature falling rate of the partition under cooling under a specific temperature difference can be determined, and the ratio of the temperature falling rate after being influenced to the temperature falling rate before being not influenced can be solved. The above-described processing may be performed a plurality of times to determine the effect of heat exchange between adjacent partitions on the temperature decrease rate of the partition being cooled under a plurality of temperature differences, and the ratio of the temperature decrease rate after the effect to the temperature decrease rate before the effect is solved, so that the average processing or fitting processing may be performed on the ratio under the plurality of temperature differences to obtain the heat transfer coefficient of the adjacent partition.
According to one embodiment of the present application, in step S103, the refrigeration power of each partition in the ith control period may be obtained and used as a data basis for predicting the refrigeration power of each partition in the next control period.
According to one embodiment of the present application, in step S104, design information of the refrigerator may be acquired, thereby determining the maximum cooling power of each partition of the refrigerator, and the maximum value of the total cooling power of the refrigerator. And serves as a limiting factor for predicting the cooling power of each partition of the next control period. That is, the prediction is performed under the constraint of the maximum cooling power of each partition and the maximum value of the total cooling power of the refrigerator.
According to an embodiment of the present application, in step S105, the refrigeration power of each partition of the next control period may be predicted under the limitation of the above limiting factors, and in the prediction process, the heat transfer factor between the adjacent partitions is considered, so that the ideal refrigeration effect can be obtained for each partition, and the prediction is performed with the goal of minimizing the sum of the refrigeration powers of each partition, so that the predicted refrigeration power of each partition of the i+1th control period may be obtained.
According to one embodiment of the present application, step S105 may include: determining a target temperature of each partition in the (i+1) th control period according to the initial temperature at the beginning of the (i) th control period, the ending temperature at the ending of the (i) th control period, the set temperature of each partition, the refrigerating power of each partition in the (i) th control period and the maximum refrigerating power of each partition; determining constraint conditions of a refrigeration optimization model according to an initial temperature at the beginning of an ith control period, an ending temperature at the ending of the ith control period, set temperatures of all partitions, heat conduction coefficients between adjacent partitions, refrigeration power of all partitions in the ith control period, maximum refrigeration power of all partitions and maximum total refrigeration power; determining an objective function of a refrigeration optimization model according to the objective temperature of each partition in the (i+1) th control period; obtaining the refrigeration optimization model according to the constraint condition and the objective function; and obtaining the predicted refrigeration power of each partition of the (i+1) th control period through the refrigeration optimization model.
According to one embodiment of the present application, it may be determined to what level the target temperature of each zone is expected to be adjusted to during the (i+1) th control period, i.e., each zone at the end of the next control period. Determining the target temperature of each partition in the (i+1) th control period according to the initial temperature at the beginning of the (i) th control period, the ending temperature at the ending of the (i) th control period, the set temperature of each partition, the refrigerating power of each partition in the (i) th control period and the maximum refrigerating power of each partition, wherein the method comprises the following steps: if the set temperature of the partition belongs to a first closed interval taking the initial temperature at the beginning of the ith control period and the ending temperature at the end of the ith control period as interval endpoints, the target temperature of the partition is the set temperature; if the set temperature of the partition does not belong to the first closed interval, determining a theoretical target temperature of the partition according to the initial temperature at the beginning of the ith control period, the ending temperature at the ending of the ith control period, the refrigeration power in the ith control period and the maximum refrigeration power of the partition; if the theoretical target temperature is lower than or equal to the set temperature, determining the set temperature as the target temperature; if the theoretical target temperature is higher than the set temperature, determining the theoretical target temperature as the target temperature; the set temperature is a refrigeration temperature set for the partition, the target temperature is an expected refrigeration temperature of the partition at the end of the (i+1) th control period, and the theoretical target temperature is a lowest temperature which can be reached by the partition at the end of the (i+1) th control period when the partition uses the maximum refrigeration power to perform refrigeration.
According to one embodiment of the present application, if the set temperature of a partition belongs to a first closed section having an initial temperature at the start of the ith control period and an end temperature at the end of the ith control period as section end points, the partition is dropped from a temperature higher than the set temperature to a temperature lower than the set temperature or is raised from a temperature lower than the set temperature to a temperature higher than the set temperature in the ith control period, that is, the temperature within the partition may fluctuate around the set temperature, and thus, the target temperature of the partition may be determined as the set temperature.
According to one embodiment of the present application, if the set temperature of the partition does not belong to the first closed section, i.e., the temperature within the partition has not reached the set temperature, the set temperature may be targeted for temperature regulation. For example, the temperature decrease rate of the partition in the maximum cooling power operation may be calculated to determine whether the set temperature can be reached in the next control period, and if the set temperature can be reached, the set temperature may be set as the target temperature, and if the set temperature cannot be reached, the lowest temperature that can be reached in the maximum cooling power operation may be set as the target temperature.
According to one embodiment of the present application, if the set temperature of the partition does not belong to the first closed interval, determining the theoretical target temperature of the partition according to the initial temperature at the start of the ith control period, the end temperature at the end of the ith control period, the cooling power in the ith control period, and the maximum cooling power of the partition includes: determining the theoretical target temperature of the jth zone according to equation (1)，
（1）
Wherein, the liquid crystal display device comprises a liquid crystal display device,the maximum cooling power for the j-th zone,for the cooling power of the jth zone in the ith control period,for the ending temperature of the jth zone at the end of the ith control period,the initial temperature of the jth partition at the beginning of the ith control period is j, where j is a positive integer less than or equal to the total number of partitions.
According to one embodiment of the present application, in the formula (1), the theoretical target temperature of the jth zone is the lowest temperature that can be reached at the end of the (i+1) th control period, assuming that the jth zone is cooled with the maximum cooling power without being affected by heat transfer of other adjacent zones. In the zoned temperature regulation process, the refrigeration power is positively correlated with the rate of temperature drop, i.e. the refrigeration power is positively correlated with the amplitude of temperature drop in the same time period, the amplitude of temperature drop in the ith control period isTherefore, if operating at maximum cooling power, the magnitude of the temperature drop in the (i+1) th control period isThe temperature at the start of the (i+1) th control period is the end temperature at the end of the (i) th control periodTherefore, by adding the end temperature at the end of the ith control period to the magnitude of the temperature drop in the (i+1) th control period, the (j) th partition can be cooled with the maximum cooling power, and the lowest temperature that can be reached at the end of the (i+1) th control period, namelyTheoretical target temperature for the j-th zone.
According to an embodiment of the present application, the theoretical target temperature of the j-th partition is obtained above, and the theoretical target temperatures of the partitions whose respective set temperatures do not belong to the first closed interval can be solved in the above manner, and the target temperature is determined based on the theoretical target temperatures. That is, if the theoretical target temperature is lower than or equal to the set temperature, i.e., the zone is operated at the maximum cooling power, the set temperature can be theoretically reached within the next control period, and the target temperature can be determined as the set temperature. If the theoretical target temperature is higher than the set temperature, i.e., the set temperature cannot be theoretically reached even if the partition is operated at the maximum cooling power, the theoretical target temperature (i.e., the lowest temperature that can be reached in the next control period at the maximum cooling power) may be taken as the target temperature in order to increase the cooling efficiency.
In this way, whether the temperature in each partition reaches or approaches the set temperature can be judged, if the temperature does not reach or approaches the set temperature, the lowest temperature which can be theoretically reached by the partition in the next control period can be solved, and the temperature is used as a data basis to set the target temperature, so that the refrigeration efficiency can be improved, and the refrigeration effect can be ensured.
According to one embodiment of the present application, as described above, in the prediction process, the heat transfer factor between the adjacent partitions is considered, and the prediction is performed with the objective that each partition can obtain an ideal refrigeration effect, and the sum of the refrigeration powers of each partition is minimized, and in the prediction process, the optimal solution under the constraint of the constraint condition can be solved as the predicted refrigeration power of each partition of the i+1th control period, in compliance with the constraint condition.
According to one embodiment of the present application, determining constraint conditions of a refrigeration optimization model according to an initial temperature at the beginning of an ith control period, an end temperature at the end of the ith control period, a set temperature of each partition, a thermal conductivity between adjacent partitions, a refrigeration power of each partition in the ith control period, a maximum refrigeration power of each partition, and a maximum total refrigeration power, includes: determining constraint conditions of the refrigeration optimization model according to formulas (2), (3) and (4),
（2）
（3），
（4）
wherein, the liquid crystal display device comprises a liquid crystal display device,for the cooling power of the jth zone in the ith control period,for the predicted cooling power of the jth zone in the (i+1) th control period,for the ending temperature of the jth zone at the end of the ith control period,the initial temperature of the jth partition at the beginning of the ith control period, where j is a positive integer less than or equal to the total number of partitions,for the predicted end temperature of the jth zone at the end of the (i + 1) th control period,for the initial temperature of the kth zone adjacent to the jth zone at the beginning of the ith control period,for the end temperature of the kth partition adjacent to the jth partition at the end of the ith control period,for the predicted end temperature of the kth partition adjacent to the jth partition at the end of the (i + 1) th control period,k is less than or equal to the number of partitions adjacent to the jth partitionAnd k andis a positive integer which is used for the preparation of the high-voltage power supply,for the thermal conductivity between the jth zone and the adjacent kth zone,the maximum cooling power for the j-th zone,for the total refrigeration power maximum, n is the total number of zones.
According to one embodiment of the present application, in equation (2), constraints may be set for the temperature drop amplitude in the next control period, taking into account the effect of heat transfer between adjacent partitions.
Wherein, the liquid crystal display device comprises a liquid crystal display device,for the temperature drop amplitude of the jth zone in the ith control period,the predicted temperature drop amplitude for the j-th partition in the i+1 control period is proportional to the cooling power in that partition.
According to one embodiment of the present application, the cooling effect of the jth partition in the ith control period is affected by considering the influence of heat transfer of the adjacent partitions, and under the influence, the actual cooling effect (i.e., the temperature drop amplitude) of the jth partition may be equivalent to the cooling effect generated after the cooling power of the jth partition is affected, and the equivalent cooling power after the cooling power of the jth partition is affected is:
，
wherein, the liquid crystal display device comprises a liquid crystal display device,for the average temperature of the jth zone during the ith control period,
for the average temperature of the kth zone adjacent to the jth zone during the ith control period,
if the average temperature of the jth zone is lower than the average temperature of the adjacent kth zone, the temperature of the kth zone will have a negative effect on the cooling effect of the jth zone, i.e. the rate of temperature decrease is slowed down, whereas if the average temperature of the jth zone is higher than the average temperature of the adjacent kth zone, the temperature of the kth zone will have a positive effect on the cooling effect of the jth zone, i.e. the rate of temperature decrease is increased.
Therefore, the difference between the average temperature of the jth partition in the ith control period and the average temperature of the adjacent kth partition in the ith control period can be solved, the difference is positive, which indicates that the adjacent kth partition has a positive effect on the refrigerating effect of the jth partition, which is equivalent to increasing the refrigerating power of the jth partition, and the difference is negative, which indicates that the adjacent kth partition has a negative effect on the refrigerating effect of the jth partition, which is equivalent to decreasing the refrigerating power of the jth partition.
The adjacent kth zone may be equivalent to increasing or decreasing the cooling power of the jth zone by an amount equal to the product of the difference between the average temperatures and the thermal conductivity between the jth zone and the adjacent kth zone,
that is to say,。
and the refrigeration power of the jth partition in the ith control period is summed with the influence of all adjacent partitions on the refrigeration power of the jth partition, so that the equivalent refrigeration power after the refrigeration power of the jth partition is influenced can be obtained.
Similarly, in accordance with one embodiment of the present application, considering the influence of heat transfer from adjacent zones, the cooling effect of the jth zone during the (i+1) th control period is affected,
under the influence, the actual refrigeration effect (i.e., the temperature drop amplitude) of the jth partition can be equivalent to the refrigeration effect generated after the refrigeration power of the jth partition is influenced, and the equivalent refrigeration power of the predicted refrigeration power in the ith+1th control period after the refrigeration power of the jth partition is influenced is:
，
wherein, the liquid crystal display device comprises a liquid crystal display device,for the predicted average temperature of the jth zone during the (i + 1) th control period,the predicted average temperature for the (i+1) th control period for the (k) th partition adjacent to the (j) th partition. The difference between the predicted average temperature of the jth partition in the (i+1) -th control period and the predicted average temperature of the adjacent kth partition in the (i+1) -th control period can be solved, the difference is positive, the positive difference indicates that the adjacent kth partition has positive influence on the refrigerating effect of the jth partition and is equivalent to increasing the refrigerating power of the jth partition, the negative difference indicates that the adjacent kth partition has negative influence on the refrigerating effect of the jth partition and is equivalent to reducing the refrigerating power of the jth partition, the adjacent kth partition can be equivalent to increasing or reducing the refrigerating power of the jth partition, the increasing or reducing the refrigerating power of the jth partitionMay be equal to the product of the difference between the above-described predicted average temperatures and the thermal conductivity between the jth zone and the adjacent kth zone,
that is to say,the predicted refrigeration power of the jth partition in the (i+1) th control period is summed with the influence of all adjacent partitions on the refrigeration power of the jth partition, so that the equivalent refrigeration power after the predicted refrigeration power of the jth partition is influenced can be obtained.
According to one embodiment of the present application, the cooling power is proportional to the temperature drop amplitude, and thus, such constraint condition can be expressed by formula (2). Since the kth partition adjacent to the jth partition is also one of the plurality of partitions of the refrigerator, the jth partition may be one of the adjacent partitions in determining the constraint condition of the kth partition, and the constraint condition may be satisfied as well.
According to one embodiment of the present application, equation (3) represents a limitation of the predicted cooling power for each partition, i.e., the predicted cooling power for each partition should be less than or equal to the maximum cooling power of the partition. Equation (4) represents a limitation of the total cooling power of the refrigerator, i.e., the sum of the predicted cooling powers of all the partitions is less than or equal to the maximum value of the total cooling power.
In this way, the influence of the heat conduction effect of the adjacent subareas on the refrigerating effect can be equivalent to the influence on the refrigerating power of the subareas through the heat conduction coefficient, so that the constraint condition of the refrigerating optimization model is obtained, the influence of the heat conduction effect of the adjacent subareas is considered in the optimization process, the overall refrigerating effect of a plurality of subareas of the refrigerator is improved, and the overall energy consumption is reduced.
According to one embodiment of the present application, the constraint condition of the refrigeration optimization model is obtained above, and the objective function of the refrigeration optimization model may also be determined. Obtaining the refrigeration optimization model according to the constraint condition and the objective function, wherein the refrigeration optimization model comprises the following steps: determining an objective function of the refrigeration optimization model according to formulas (5) and (6),
（5）
（6）
wherein, the liquid crystal display device comprises a liquid crystal display device,the target temperature for the j-th zone in the i+1th control period.
According to one embodiment of the present application, equation (5) represents minimizing the sum of the differences between the predicted end temperature and the target temperature of each partition at the end of the (i+1) th control period, thereby achieving the objective of optimizing the cooling effect of the refrigerator as a whole. Equation (6) may represent minimizing the sum of the predicted cooling power of each partition in the (i+1) th control period to achieve the purpose of minimizing the energy consumption of the refrigerator on the basis of achieving the desired cooling effect.
According to an embodiment of the present application, the constraint condition and the objective function may form a cooling optimization model, and an optimal solution of the predicted cooling power of each partition and the predicted end temperature of each partition at the end of the (i+1) th control period may be calculated by the cooling optimization model. Obtaining the predicted refrigeration power of each partition of the (i+1) th control period through the refrigeration optimization model, wherein the predicted refrigeration power comprises the following components: and under the constraint of the constraint condition of the refrigeration optimization model, solving the optimal solution of the objective function to obtain the predicted refrigeration power of each partition of the (i+1) th control period. That is, under the constraint of the constraint condition, the predicted cooling power and the predicted ending temperature that minimize the sum of the differences between the predicted ending temperatures of the respective partitions at the end of the i+1th control period and the target temperature, and that minimize the sum of the predicted cooling powers of the respective partitions in the i+1th control period are solved.
According to an embodiment of the present application, in step S106, the predicted cooling power of each partition in the i+1 control period obtained above may be used as the actual cooling power of each partition in the i+1 control period to perform cooling, so that each partition of the refrigerator achieves a more ideal cooling effect and consumes less electric power while considering the heat conduction effect between adjacent partitions.
According to the multi-partition refrigeration house operation control method provided by the embodiment of the application, the partitions adjacent to each partition and the heat conduction coefficient between the adjacent partitions can be determined, so that the influence of heat conduction between the adjacent partitions is considered in the optimization process, the optimal predicted refrigeration power is determined, and the waste of electric energy can be reduced under the condition of improving the refrigeration effect of each partition. In the process of solving the optimal predicted refrigeration power, whether the temperature in each partition reaches or approaches to the set temperature can be judged, if the temperature does not reach or approaches to the set temperature, the lowest temperature which can be theoretically reached by the partition in the next control period can be solved, and the temperature is used as a data basis to set the target temperature, so that the refrigeration efficiency can be improved, and the refrigeration effect is ensured. And the influence of the heat conduction effect of the adjacent subareas on the refrigerating effect can be equivalent to the influence of the heat conduction effect of the adjacent subareas on the refrigerating power of the subareas through the heat conduction coefficient, so that the constraint condition of the refrigerating optimization model is obtained, the influence of the heat conduction effect of the adjacent subareas is considered in the optimization process, the overall refrigerating effect of a plurality of subareas of the refrigerator is improved, and the overall energy consumption is reduced.
FIG. 2 schematically illustrates a schematic diagram of a multi-zone freezer operation control system according to an embodiment of the application, the system comprising:
an obtaining module 101, configured to obtain initial temperatures of a plurality of partitions in the refrigerator at the beginning of an ith control period, ending temperatures of the partitions at the end of the ith control period, and set temperatures of the partitions, where i is a positive integer;
the heat conduction coefficient module 102 is used for determining adjacent partitions of each partition and heat conduction coefficients between the adjacent partitions according to design information of the refrigeration house;
a first determining module 103, configured to determine a cooling power of each partition in an ith control period;
a second determining module 104, configured to determine, according to the design information of the refrigerator, a maximum refrigeration power of each partition of the refrigerator, and a maximum total refrigeration power of the refrigerator;
an optimizing module 105, configured to obtain a predicted refrigeration power of each partition of the i+1th control period according to an initial temperature at the beginning of the i-th control period, an end temperature at the end of the i-th control period, a set temperature of each partition, a thermal conductivity between adjacent partitions, a refrigeration power of each partition in the i-th control period, a maximum refrigeration power of each partition, and the maximum total refrigeration power;
and the refrigerating module 106 is used for refrigerating each partition in the refrigerator by using the predicted refrigerating power of each partition in the (i+1) th control period.
According to an embodiment of the present application, there is provided a multi-partition refrigerator operation control apparatus including: a processor; a memory for storing processor-executable instructions; the processor is configured to call the instructions stored by the memory to execute the multi-partition refrigeration house operation control method.
Claims (8)
1. The multi-partition refrigeration house operation control method is characterized by comprising the following steps:
acquiring initial temperatures of a plurality of partitions in a refrigerator at the beginning of an ith control period, finishing temperatures of the partitions at the end of the ith control period and set temperatures of the partitions, wherein i is a positive integer;
determining adjacent partitions of each partition and heat conduction coefficients between the adjacent partitions according to design information of the refrigeration house;
determining the refrigeration power of each partition in the ith control period;
determining the maximum refrigeration power of each partition of the refrigeration house and the maximum total refrigeration power of the refrigeration house according to the design information of the refrigeration house;
obtaining the predicted refrigeration power of each partition of the (i+1) th control period according to the initial temperature at the beginning of the (i) th control period, the ending temperature at the ending of the (i) th control period, the set temperature of each partition, the heat conduction coefficient between adjacent partitions, the refrigeration power of each partition in the (i) th control period, the maximum refrigeration power of each partition and the maximum total refrigeration power;
and in the (i+1) th control period, refrigerating each partition in the refrigeration house by using the predicted refrigerating power of each partition in the (i+1) th control period.
2. The multi-zone refrigerator operation control method according to claim 1, wherein obtaining the predicted cooling power of each zone of the i+1 th control period based on the initial temperature at the start of the i-th control period, the end temperature at the end of the i-th control period, the set temperature of each zone, the heat transfer coefficient between adjacent zones, the cooling power of each zone in the i-th control period, the maximum cooling power of each zone, and the total cooling power maximum value, comprises:
determining a target temperature of each partition in the (i+1) th control period according to the initial temperature at the beginning of the (i) th control period, the ending temperature at the ending of the (i) th control period, the set temperature of each partition, the refrigerating power of each partition in the (i) th control period and the maximum refrigerating power of each partition;
determining constraint conditions of a refrigeration optimization model according to an initial temperature at the beginning of an ith control period, an ending temperature at the ending of the ith control period, set temperatures of all partitions, heat conduction coefficients between adjacent partitions, refrigeration power of all partitions in the ith control period, maximum refrigeration power of all partitions and maximum total refrigeration power;
determining an objective function of a refrigeration optimization model according to the objective temperature of each partition in the (i+1) th control period;
obtaining the refrigeration optimization model according to the constraint condition and the objective function;
and obtaining the predicted refrigeration power of each partition of the (i+1) th control period through the refrigeration optimization model.
3. The multi-zone refrigerator operation control method according to claim 2, wherein determining the target temperature of each zone in the (i+1) th control period based on the initial temperature at the start of the (i) th control period, the end temperature at the end of the (i) th control period, the set temperature of each zone, the cooling power of each zone in the (i) th control period, and the maximum cooling power of each zone, comprises:
if the set temperature of the partition belongs to a first closed interval taking the initial temperature at the beginning of the ith control period and the ending temperature at the end of the ith control period as interval endpoints, the target temperature of the partition is the set temperature;
if the set temperature of the partition does not belong to the first closed interval, determining a theoretical target temperature of the partition according to the initial temperature at the beginning of the ith control period, the ending temperature at the ending of the ith control period, the refrigeration power in the ith control period and the maximum refrigeration power of the partition;
if the theoretical target temperature is lower than or equal to the set temperature, determining the set temperature as the target temperature;
if the theoretical target temperature is higher than the set temperature, determining the theoretical target temperature as the target temperature;
the set temperature is a refrigeration temperature set for the partition, the target temperature is an expected refrigeration temperature of the partition at the end of the (i+1) th control period, and the theoretical target temperature is a lowest temperature which can be reached by the partition at the end of the (i+1) th control period when the partition uses the maximum refrigeration power to perform refrigeration.
4. The multi-zone refrigerator operation control method according to claim 3, wherein if the set temperature of a zone does not belong to the first closed zone, determining the theoretical target temperature of the zone based on an initial temperature at which an i-th control period starts, an end temperature at which the i-th control period ends, a cooling power in the i-th control period, and a maximum cooling power of the zone, comprises:
according to the formula
Determining theoretical target temperature for jth zoneWherein->Maximum cooling power for the j-th zone, < >>For the cooling power of the jth zone in the ith control period, +.>For the ending temperature of the jth partition at the end of the ith control period, +.>The initial temperature of the jth partition at the beginning of the ith control period is j, where j is a positive integer less than or equal to the total number of partitions.
5. The multi-zone refrigerator operation control method according to claim 2, wherein determining constraint conditions of a refrigeration optimization model based on an initial temperature at the start of an ith control period, an end temperature at the end of the ith control period, a set temperature of each zone, a heat conduction coefficient between adjacent zones, a refrigeration power of each zone in the ith control period, a maximum refrigeration power of each zone, and the maximum total refrigeration power, comprises:
according to the formula
，
，
，
Determining constraints of a refrigeration optimization model, wherein,for the cooling power of the jth zone in the ith control period, +.>Predicted cooling power for the jth zone in the (i+1) -th control period, +.>For the ending temperature of the jth partition at the end of the ith control period, +.>For the jth zone the initial temperature at the beginning of the ith control period, where j is a positive integer less than or equal to the total number of zones, +.>Predicted end temperature at the end of the (i+1) -th control period for the j-th partition,/-, for the j-th partition>For the initial temperature of the kth partition adjacent to the jth partition at the beginning of the ith control period,/for the kth partition>For the ending temperature of the kth partition adjacent to the jth partition at the end of the ith control period,/for the end of the ith control period>Is in combination withPredicted end temperature of the kth partition adjacent to the jth partition at the end of the (i+1) -th control period, +.>For the number of partitions adjacent to the jth partition, k.ltoreq.k ≡>And k and->Is a positive integer>For the heat conduction coefficient between the jth zone and the adjacent kth zone, +.>The maximum cooling power for the j-th zone,for the total refrigeration power maximum, n is the total number of zones.
6. The method of claim 5, wherein determining an objective function of a refrigeration optimization model based on the objective temperatures of the respective partitions in the (i+1) th control period, comprises:
according to the formula
，
，
An objective function of the refrigeration optimization model is determined, wherein,for the j-th pointThe target temperature of the zone in the i+1th control period.
7. The multi-zone refrigerator operation control method according to claim 2, wherein the obtaining of the predicted cooling power of each zone of the (i+1) th control cycle by the cooling optimization model comprises:
and under the constraint of the constraint condition of the refrigeration optimization model, solving the optimal solution of the objective function to obtain the predicted refrigeration power of each partition of the (i+1) th control period.
8. A multi-partition refrigeration house operation control system is characterized by comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring initial temperatures of a plurality of partitions in a refrigerator at the beginning of an ith control period, finishing temperatures of the partitions at the end of the ith control period and set temperatures of the partitions, wherein i is a positive integer;
the heat conduction coefficient module is used for determining adjacent partitions of each partition and heat conduction coefficients between the adjacent partitions according to the design information of the refrigeration house;
a first determining module, configured to determine a refrigeration power of each partition in an ith control period;
the second determining module is used for determining the maximum refrigeration power of each partition of the refrigeration house and the maximum total refrigeration power of the refrigeration house according to the design information of the refrigeration house;
the optimizing module is used for obtaining the predicted refrigeration power of each partition of the (i+1) th control period according to the initial temperature at the beginning of the (i) th control period, the ending temperature at the ending of the (i) th control period, the set temperature of each partition, the heat conduction coefficient between adjacent partitions, the refrigeration power of each partition in the (i) th control period, the maximum refrigeration power of each partition and the maximum total refrigeration power;
and the refrigerating module is used for refrigerating each partition in the refrigeration house by using the predicted refrigerating power of each partition in the (i+1) th control period.
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