CN109882995A - A kind of method of equipment and its Energy Saving Control - Google Patents
A kind of method of equipment and its Energy Saving Control Download PDFInfo
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- CN109882995A CN109882995A CN201910038357.1A CN201910038357A CN109882995A CN 109882995 A CN109882995 A CN 109882995A CN 201910038357 A CN201910038357 A CN 201910038357A CN 109882995 A CN109882995 A CN 109882995A
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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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Abstract
The invention discloses a kind of equipment and its methods of Energy Saving Control, it is related to device energy conservation technical field, to the power-save operation for solving to use Energy Saving Control policy control smart machine in the prior art, it is not easy precision control, and inaccurate problem is controlled the equipment operation that can reach energy-saving effect, the method of the present invention includes: the current operating conditions for obtaining the equipment, according to the mapping relations of the preset operating state of the equipment and operating parameter, the corresponding one group of optimized operation parameter of the current operating conditions is determined using particle swarm algorithm, under the current operating conditions, it is run using equipment described in the optimized operation state modulator.
Description
Technical field
The present invention relates to device energy conservation technical field, in particular to the method for a kind of equipment and its Energy Saving Control.
Background technique
With the continuous propulsion of modernization level, air-conditioning has become family's indispensability electric appliance, but air-conditioning is also average family
Using the maximum household electrical appliance of consuming energy, but due to outside air-conditioning fan part operation energy consumption it is higher, caused air-conditioning energy consumption is compared with great achievement
The problem of comparing headache for consumer.Certainly, major air conditioner manufacturer also breaks through air conditioner energy saving taking much time with resource
Technology is optimized from air supply rate to air conditioning control method, is achieved good results, but the control method of current air-conditioning is also
It is that not enough precisely, the bad assurance of rule of Energy Saving Control strategy has very big progress space.
In conclusion existing Energy Saving Control strategy is not easy precision control, to some skies that can reach energy-saving effect
Adjust operation control inaccurate.
Summary of the invention
The present invention provides a kind of method and apparatus of Energy Saving Control, to solve in the prior art with the control of Energy Saving Control strategy
The power-save operation of smart machine processed is not easy precision control, and controls the equipment operation that can reach energy-saving effect not smart enough
True problem.
In a first aspect, the present invention provides a kind of energy-saving control method, this method comprises:
Obtain the current operating conditions of the equipment；
According to the mapping relations of the preset operating state of the equipment and operating parameter, using described in particle swarm algorithm determination
The corresponding one group of optimized operation parameter of current operating conditions；
Under the current operating conditions, run using equipment described in the optimized operation state modulator.
In the above method, the optimized operation parameter of the equipment current operating conditions is calculated using particle swarm algorithm, than
Relatively precisely, the optimal energy-saving run parameter of the equipment can be accurately determined.
In one possible implementation, in the preset operating state of the equipment and the mapping relations of operating parameter,
One operating status corresponds to multiple groups operating parameter.
In one possible implementation, using the corresponding multiple groups operating parameter of the current operating conditions of the equipment as
Parameter group, using every group of operating parameter as the individual in the parameter group；
According to the parameter group, corresponding one group of optimized operation parameter under the equipment current operating conditions is determined.
In one possible implementation, by presetting fitness function, each individual in the parameter group is determined
Fitness；
Determine that the individual that fitness is best in the parameter group is local optimum individual；
According to determining local optimum individual, the corresponding one group of optimized operation ginseng of the equipment current operating conditions is determined
Number.
In one possible implementation, calculate each of described parameter group individual corresponding equipment operation power consumption and
On-road efficiency；
By presetting fitness function, power consumption is run according to the equipment of each individual and on-road efficiency calculates each individual
Fitness.
In one possible implementation, when the fitness of local optimum individual meets default fitness boundary and population
When iteration meets default the number of iterations, determine that the current corresponding one group of operational factor of local optimum individual is the operating status
Corresponding one group of optimized operation parameter；
When the fitness of local optimum individual is unsatisfactory for default fitness boundary or population iteration is unsatisfactory for default iteration time
When number, current parameter group is subjected to population iteration, and according to the parameter group after iteration, determine that the equipment is currently run
Corresponding one group of optimized operation parameter under state；The population iteration is by all individual to the part of parameter current group
Optimum individual offset.
In one possible implementation, the fitness of local optimum individual meets default fitness boundary, comprising:
The corresponding fitness of local optimum individual currently updated, it is corresponding with the local optimum individual of last update
The difference of fitness is less than default fitness threshold value.
In the above method, equipment is preferentially regulated and controled by the particle swarm algorithm using biological evolution, realizes equipment
Low energy consumption operation, improve equipment control accuracy, comfort and energy saving.
In one possible implementation, when the equipment is air-conditioning, the operating status of the equipment be refrigerating state,
Heating state, temperature constant state, the operating parameter are the outer rotation speed of fan of air-conditioning.
In the above method, is preferentially regulated and controled by outer rotation speed of fan of the particle swarm algorithm to air-conditioning, realized outside air-conditioning
The low energy consumption of fan part is run, and improves the accuracy, comfort and energy saving of airconditioning control.
Second aspect, the present invention provide a kind of equipment of Energy Saving Control, which includes: processor and memory:
The processor: for obtaining the current operating conditions of the equipment；
According to the mapping relations of the preset operating state of the equipment and operating parameter, using described in particle swarm algorithm determination
The corresponding one group of optimized operation parameter of current operating conditions；
Under the current operating conditions, run using equipment described in the optimized operation state modulator.
The third aspect, the application also provide a kind of computer storage medium, are stored thereon with computer program, the program quilt
The step of first aspect the method is realized when processing unit executes.
In addition, technical effect brought by any implementation can be found in first aspect in second aspect and the third aspect
Technical effect brought by middle difference implementation, details are not described herein again.
The utility model has the advantages that
The present invention is preferentially regulated and controled by the external rotation speed of fan of particle swarm algorithm using biological evolution, realizes air-conditioning
The low energy consumption of outer fan part is run, and improves the accuracy, comfort and energy saving of airconditioning control.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly introduced, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this
For the those of ordinary skill in field, without any creative labor, it can also be obtained according to these attached drawings
His attached drawing.
Fig. 1 is a kind of method schematic diagram for device energy conservation control that the embodiment of the present invention one provides；
Fig. 2 is a kind of specific method flow chart for device energy conservation control that the embodiment of the present invention one provides；
Fig. 3 is a kind of equipment schematic diagram of Energy Saving Control provided by Embodiment 2 of the present invention；
Fig. 4 is a kind of schematic device of Energy Saving Control provided by Embodiment 2 of the present invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention make into
It is described in detail to one step, it is clear that the described embodiments are only some of the embodiments of the present invention, rather than whole implementation
Example.Based on the embodiments of the present invention, obtained by those of ordinary skill in the art without making creative efforts
All other embodiment, shall fall within the protection scope of the present invention.
The some words occurred in text are explained below:
Term " equipment " is the operating parameter for having different groups under same state, different operating parameter meetings in the embodiment of the present invention
Influence the equipment of operation power consumption, such as air-conditioning, refrigerator, or a certain component of any above equipment, such as outer blower, compression
Machine etc..
The application scenarios of description of the embodiment of the present invention are the technical solutions in order to more clearly illustrate the embodiment of the present invention,
The restriction for technical solution provided in an embodiment of the present invention is not constituted, those of ordinary skill in the art are it is found that with newly answering
With the appearance of scene, technical solution provided in an embodiment of the present invention is equally applicable for similar technical problem.Wherein, at this
In the description of invention, unless otherwise indicated, the meaning of " plurality " is two or more.
With the continuous propulsion of modernization level, air-conditioning, refrigerator etc. have become family's indispensability electric appliance, but air-conditioning is also general
Using the maximum household electrical appliance that consume energy, air-conditioning energy consumption is larger to become the problem of consumer compares headache in long and deep friendship between two families front yard.Certainly, Ge great Kong
It adjusts manufacturer also to break through air conditioner energy saving technology taking much time with resource, is carried out from air supply rate to air conditioning control method excellent
Change, achieve good results, but the control method of air-conditioning is still not accurate enough at present, bad of the rule of Energy Saving Control strategy
It holds, there is very big progress space.
Therefore the embodiment of the present invention provides a kind of method of equipment and its Energy Saving Control, to solve to occur in above-mentioned scene
The problem of.
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention make into
It is described in detail to one step, it is clear that described embodiments are only a part of the embodiments of the present invention, rather than whole implementation
Example.Based on the embodiments of the present invention, obtained by those of ordinary skill in the art without making creative efforts
All other embodiment, shall fall within the protection scope of the present invention.
For above-mentioned scene, the embodiment of the present invention is described in further detail with reference to the accompanying drawings of the specification.
Embodiment one:
As shown in Figure 1, the present embodiment provides a kind of methods of device energy conservation control, specifically includes the following steps:
Step 101, the current operating conditions of equipment are obtained；
In the present embodiment, when above equipment is air-conditioning, the operating status of above equipment can with but be not limited to freeze
State, heating state, temperature constant state etc. states, when above equipment is refrigerator, the operating status of above equipment can with but not
It is confined to as frozen state, fresh-keeping state etc..Step 102, reflecting according to the preset operating state of above equipment and operating parameter
Relationship is penetrated, determines the corresponding one group of optimized operation parameter of above-mentioned current operating conditions using particle swarm algorithm；
Above-mentioned particle swarm algorithm, also referred to as particle swarm optimization algorithm or flock of birds foraging algorithm PSO (Particle Swarm
It Optimization), is a kind of biological evolution algorithm EA (Evolutionary Algorithm), it is also from solving at random
Hair, finds optimal solution by iteration.
The input parameter of preset operating state and operating parameter as particle swarm algorithm, passes through iteration using particle swarm algorithm
Optimal solution is found, corresponding optimized operation parameter under current state is obtained.
Step 103, it under above-mentioned current operating conditions, is run using above-mentioned optimized operation state modulator above equipment.
In the above method, the optimized operation parameter of above equipment current operating conditions is calculated using particle swarm algorithm, than
Relatively precisely, the optimal energy-saving run parameter of above equipment can be accurately determined.
In a kind of possible implementation of above-mentioned steps 102, the preset operating state of above equipment and operating parameter
In mapping relations, an operating status corresponds to multiple groups operating parameter, the preset operating state of above equipment and reflecting for operating parameter
The relationship of penetrating can be arranged in advance by those skilled in the art, can with but be not limited to as shown in table 1 below:
Table 1:
| Operating status A1 | B1 group operating parameter | B2 group operating parameter | B3 group operating parameter | … |
| Operating status A2 | C1 group operating parameter | C2 group operating parameter | C3 group operating parameter | … |
| Operating status A3 | D1 group operating parameter | D2 group operating parameter | D3 group operating parameter | … |
| … | … | … | … | … |
Wherein, in above-mentioned table 1, the corresponding operating parameter of different operating statuses of equipment can be identical or different, not to this
Excessive limitation is done, those skilled in the art can be arranged according to the real work situation of equipment.
In the present embodiment, above equipment is air-conditioning, the operating status of above equipment can with but be not limited to refrigeration shape
State, heating state, temperature constant state；Above-mentioned operating parameter can with but be not limited to the outer blower rotary speed parameter of air-conditioning；Above-mentioned sky
The mapping relations of the preset operating state of tune and operating parameter can with but be not limited to as shown in table 2 below:
Table 2:
| Refrigerating state | Outer blower rotary speed parameter B1 | Outer blower rotary speed parameter B2 | Outer blower rotary speed parameter B3 | … |
| Heating state | Outer blower rotary speed parameter C1 | Outer blower rotary speed parameter C2 | Outer blower rotary speed parameter C3 | |
| Temperature constant state | Outer blower rotary speed parameter D1 | Outer blower rotary speed parameter D2 | Outer blower rotary speed parameter D3 |
In a kind of possible implementation of above-mentioned steps 102, by the corresponding multiple groups of the current operating conditions of above equipment
Operating parameter is as parameter group, using every group of operating parameter as the individual in above-mentioned parameter group；
According to above-mentioned parameter group, corresponding one group of optimized operation parameter under above equipment current operating conditions is determined.
In the present embodiment, using the group of the corresponding all outer rotation speed of fan compositions of the current operating conditions of air-conditioning as ginseng
Number group, using each outer rotation speed of fan as the individual in above-mentioned parameter group；
Above-mentioned particle swarm algorithm, also referred to as particle swarm optimization algorithm or flock of birds foraging algorithm PSO (Particle Swarm
It Optimization), is a kind of biological evolution algorithm EA (Evolutionary Algorithm), it is also from solving at random
Hair finds optimal solution by iteration, and evaluates by fitness the quality of solution, by follow the optimal value that current search arrives come
Find global optimum.
In a kind of possible implementation of above-mentioned steps 102, by presetting fitness function, above-mentioned parameter group is determined
In each individual fitness, and in above-mentioned parameter group the best individual of fitness be local optimum individual, according to determining
Local optimum individual, determines the corresponding one group of optimized operation parameter of above equipment current operating conditions.
Can with but be not limited to be determined as follows the fitness of each individual in above-mentioned parameter group:
Calculate the corresponding equipment operation power consumption of each of above-mentioned parameter group individual and on-road efficiency；
By presetting fitness function, power consumption is run according to the equipment of each individual and on-road efficiency calculates each individual
Fitness.
Excessive limitation is not done to above-mentioned default fitness function, those skilled in the art can set according to actual needs,
In the present embodiment, above equipment is air-conditioning, when above-mentioned operating parameter is outer rotation speed of fan, can be run with reference to air-conditioning currently
Under state, the environment temperature that corresponding power consumption and operation of air conditioner are built when being run with different outer rotation speed of fan calculates above-mentioned parameter
The fitness of each of group individual.
It should be understood that in the present embodiment, above equipment is air-conditioning, when above-mentioned operating parameter is outer rotation speed of fan,
When running air-conditioning with different outer rotation speed of fan, the overall target of the environment temperature of outer blower power consumption and operation of air conditioner construction is optimal
The corresponding individual of outer rotation speed of fan be above-mentioned local optimum individual.
In a kind of possible implementation of above-mentioned steps 102, when the fitness of local optimum individual meets default adapt to
When degree boundary or population iteration meet default the number of iterations, determine that the current corresponding one group of operational factor of local optimum individual is
The corresponding one group of optimized operation parameter of above-mentioned current operating conditions；
When the fitness of local optimum individual is unsatisfactory for default fitness boundary or population iteration is unsatisfactory for default population and changes
When generation number, current parameter group is subjected to population iteration, and according to the parameter group after iteration, determine that above equipment is current
Corresponding one group of optimized operation parameter under operating status；Above-mentioned population iteration is by all individual to above-mentioned of parameter current group
Local optimum individual offset.
Excessive restriction is not done to above-mentioned default fitness boundary, those skilled in the art can be arranged according to actual needs,
In one possible implementation, the corresponding fitness of local optimum individual currently updated, the office with last update
When the difference of the corresponding fitness of portion's optimum individual is less than default fitness threshold value, determine that the fitness of local optimum individual meets
Default fitness boundary；
In the present embodiment, above-mentioned default fitness boundary is 0.5, i.e., the local optimum individual currently updated is corresponding suitable
Response, the difference of fitness corresponding with the local optimum of last update individual it is small 0.5 when, determine local optimum individual
Fitness meets default fitness boundary.
It should be understood that judge for the first time when whether the fitness of local optimum individual meets default fitness boundary,
The corresponding fitness of local optimum individual of last update is defaulted as 0.
Excessive restriction is not done to the preset value of above-mentioned default population the number of iterations, those skilled in the art can be according to equipment
Bring effect and power consumption setting are run, such as in the present embodiment, when above equipment is air-conditioning, considers operation of air conditioner bring ring
Above-mentioned default population the number of iterations is arranged in border comfort level and the power consumption of outer blower；
In the above method, equipment is preferentially regulated and controled by the particle swarm algorithm using biological evolution, realizes equipment
Low energy consumption operation, improve equipment control accuracy, comfort and energy saving.
In one possible implementation, when above equipment is air-conditioning, the operating status of above equipment be refrigerating state,
Heating state, temperature constant state, above-mentioned operating parameter are the outer rotation speed of fan of air-conditioning.
In the above method, is preferentially regulated and controled by outer rotation speed of fan of the particle swarm algorithm to air-conditioning, realized outside air-conditioning
The low energy consumption of fan part is run, and improves the accuracy, comfort and energy saving of airconditioning control.
As shown in Fig. 2, an a kind of specific method for device energy conservation control is given below, the specific steps are as follows:
The current operating conditions of step 1) acquisition equipment；
Step 2) determines that current operating conditions are corresponding according to the preset operating state of equipment and the mapping relations of operating parameter
Parameter group；
Step 3) calculates the fitness of each of current parameter group individual；
Step 4) determines the local optimum individual of current parameter group according to the fitness of all individuals；
Step 5) judges that the fitness of local optimum individual meets default fitness boundary or population iteration meets default change
Whether generation number is true, if 6) invalid enter step, otherwise enters step 7)；
Current parameter group is carried out population iteration according to current local optimum individual and obtains new parameter by step 6)
Group, and enter step 3)；
Individuals all in current parameter group are obtained into new parameter group to above-mentioned local optimum individual offset.
The current corresponding one group of operational factor of local optimum individual is determined as above-mentioned current operating conditions pair by step 7)
The one group of optimized operation parameter answered；
Step 8) is run using determining optimized operation state modulator above equipment.
It needs to be illustrated, the mode of the method for cited a kind of air conditioner energy saving control in the embodiment of the present invention
It is for example, any mode that can carry out device energy conservation control in aforementioned manners is suitable for the embodiment of the present invention.
Embodiment two:
As shown in figure 3, being based on identical inventive concept, the present embodiment provides a kind of equipment of Energy Saving Control, the equipment packets
Include processor 301 and memory 302, wherein above-mentioned processor is used for:
Obtain the current operating conditions of above equipment；
According to the mapping relations of the preset operating state of above equipment and operating parameter, determined using particle swarm algorithm above-mentioned
The corresponding one group of optimized operation parameter of current operating conditions；
Under above-mentioned current operating conditions, run using above-mentioned optimized operation state modulator above equipment.
In the preset operating state of above equipment and the mapping relations of operating parameter, an operating status corresponds to multiple groups operation
Parameter.
Above-mentioned processor is specifically used for, using the corresponding multiple groups operating parameter of the current operating conditions of above equipment as parameter
Group, using every group of operating parameter as the individual in above-mentioned parameter group；
According to above-mentioned parameter group, corresponding one group of optimized operation parameter under above equipment current operating conditions is determined.
Above-mentioned processor is specifically used for, and by presetting fitness function, determines each individual in above-mentioned parameter group fit
Response；
Determine that the individual that fitness is best in above-mentioned parameter group is local optimum individual；
According to determining local optimum individual, the corresponding one group of optimized operation ginseng of above equipment current operating conditions is determined
Number.
Above-mentioned processor is specifically used for, and calculates the corresponding equipment operation power consumption of each of above-mentioned parameter group individual and operation
Benefit；
By presetting fitness function, power consumption is run according to the equipment of each individual and on-road efficiency calculates each individual
Fitness.
Above-mentioned processor is specifically used for, when the fitness of local optimum individual meets default fitness boundary or population iteration
When meeting default the number of iterations, determine that the current corresponding one group of operational factor of local optimum individual is above-mentioned current operating conditions
Corresponding one group of optimized operation parameter；
When the fitness of local optimum individual is unsatisfactory for default fitness boundary and population iteration is unsatisfactory for default population and changes
When generation number, current parameter group is subjected to population iteration, and according to the parameter group after iteration, determine that above equipment is current
Corresponding one group of optimized operation parameter under operating status；Above-mentioned population iteration is by all individual to above-mentioned of parameter current group
Local optimum individual offset.
The corresponding fitness of local optimum individual currently updated, it is corresponding with the local optimum individual of last update
When the difference of fitness is less than default fitness threshold value, determine that the fitness of local optimum individual meets default fitness boundary.
When above equipment is air-conditioning, the individual corresponding equipment operation power consumption of above-mentioned local optimum meets preset power consumption boundary and states
The operating status of equipment is refrigerating state, heating state, temperature constant state, and above-mentioned operating parameter is the outer rotation speed of fan of air-conditioning.
As shown in figure 4, being based on identical inventive concept, the present embodiment provides a kind of device of Energy Saving Control, the device packets
It includes:
Operating status acquiring unit 401, for obtaining the current operating conditions of above equipment；
Optimized operation parameter determination unit 402, for according to the preset operating state of above equipment and reflecting for operating parameter
Relationship is penetrated, determines the corresponding one group of optimized operation parameter of above-mentioned current operating conditions using particle swarm algorithm；
Equipment running unit 403 is controlled, for utilizing above-mentioned optimized operation state modulator under above-mentioned current operating conditions
Above equipment operation.
In the preset operating state of above equipment and the mapping relations of operating parameter, an operating status corresponds to multiple groups operation
Parameter.
Above-mentioned optimized operation parameter determination unit, for joining the corresponding multiple groups operation of the current operating conditions of above equipment
Number is used as parameter group, using every group of operating parameter as the individual in above-mentioned parameter group；
According to above-mentioned parameter group, corresponding one group of optimized operation parameter under above equipment current operating conditions is determined.
Above-mentioned optimized operation parameter determination unit is used for, and by presetting fitness function, is determined every in above-mentioned parameter group
The fitness of individual；
Determine that the individual that fitness is best in above-mentioned parameter group is local optimum individual；
According to determining local optimum individual, the corresponding one group of optimized operation ginseng of above equipment current operating conditions is determined
Number.
Above-mentioned optimized operation parameter determination unit is used for, and calculates the corresponding equipment operation of each of above-mentioned parameter group individual
Power consumption and on-road efficiency；
By presetting fitness function, power consumption is run according to the equipment of each individual and on-road efficiency calculates each individual
Fitness.
Above-mentioned optimized operation parameter determination unit is used for, when the fitness of local optimum individual meets default fitness boundary
Or population iteration determines that the current corresponding one group of operational factor of local optimum individual is above-mentioned works as when meeting default the number of iterations
The corresponding one group of optimized operation parameter of preceding operating status；
When the fitness of local optimum individual is unsatisfactory for default fitness boundary and population iteration is unsatisfactory for default population and changes
When generation number, current parameter group is subjected to population iteration, and according to the parameter group after iteration, determine that above equipment is current
Corresponding one group of optimized operation parameter under operating status；Above-mentioned population iteration is by all individual to above-mentioned of parameter current group
Local optimum individual offset.
The corresponding fitness of local optimum individual currently updated, it is corresponding with the local optimum individual of last update
When the difference of fitness is less than default fitness threshold value, determine that the fitness of local optimum individual meets default fitness boundary.
When above equipment is air-conditioning, the individual corresponding equipment operation power consumption of above-mentioned local optimum meets preset power consumption boundary and states
The operating status of equipment is refrigerating state, heating state, temperature constant state, and above-mentioned operating parameter is the outer rotation speed of fan of air-conditioning.
Embodiment three:
The embodiment of the present invention also provides a kind of computer-readable non-volatile memory medium, including program code, when above-mentioned
For program code when running on computing terminal, above procedure code is for making above-mentioned computing terminal execute the embodiments of the present invention
The step of one method.
Above by reference to showing according to the method, apparatus (system) of the embodiment of the present application and/or the frame of computer program product
Figure and/or flow chart describe the application.It should be understood that can realize that block diagram and or flow chart is shown by computer program instructions
The combination of the block of a block and block diagram and or flow chart diagram for figure.These computer program instructions can be supplied to logical
With computer, the processor of special purpose computer and/or other programmable data processing units, to generate machine, so that via meter
The instruction that calculation machine processor and/or other programmable data processing units execute creates for realizing block diagram and or flow chart block
In specified function action method.
Correspondingly, the application can also be implemented with hardware and/or software (including firmware, resident software, microcode etc.).More
Further, the application can take computer usable or the shape of the computer program product on computer readable storage medium
Formula has the computer realized in the medium usable or computer readable program code, to be made by instruction execution system
It is used with or in conjunction with instruction execution system.In the present context, computer can be used or computer-readable medium can be with
It is arbitrary medium, may include, stores, communicates, transmits or transmit program, is made by instruction execution system, device or equipment
With, or instruction execution system, device or equipment is combined to use.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (10)
1. a kind of method of device energy conservation control, which is characterized in that this method comprises:
Obtain the current operating conditions of the equipment；
According to the mapping relations of the preset operating state of the equipment and operating parameter, determined using particle swarm algorithm described current
The corresponding one group of optimized operation parameter of operating status；
Under the current operating conditions, run using equipment described in the optimized operation state modulator.
2. the method as described in claim 1, which is characterized in that the preset operating state of the equipment and the mapping of operating parameter
In relationship, an operating status corresponds to multiple groups operating parameter.
3. method according to claim 1 or 2, which is characterized in that determine the current operating conditions using particle swarm algorithm
Corresponding one group of optimized operation parameter, comprising:
Using the corresponding multiple groups operating parameter of the current operating conditions of the equipment as parameter group, using every group of operating parameter as
Individual in the parameter group；
According to the parameter group, corresponding one group of optimized operation parameter under the equipment current operating conditions is determined.
4. method as claimed in claim 3, which is characterized in that according to the parameter group, determine that the equipment is currently run
Corresponding one group of optimized operation parameter under state, comprising:
By presetting fitness function, the fitness of each individual in the parameter group is determined；
Determine that the individual that fitness is best in the parameter group is local optimum individual；
According to determining local optimum individual, the corresponding one group of optimized operation parameter of the equipment current operating conditions is determined.
5. method as claimed in claim 4, which is characterized in that by presetting fitness function, determine in the parameter group
The fitness of each individual, comprising:
Calculate the corresponding equipment operation power consumption of each of described parameter group individual and on-road efficiency；
By presetting fitness function, power consumption is run according to the equipment of each individual and on-road efficiency calculates the adaptation of each individual
Degree.
6. method as claimed in claim 4, which is characterized in that according to determining local optimum individual, determine that the equipment is worked as
The corresponding one group of optimized operation parameter of preceding operating status, comprising:
When the fitness of local optimum individual meets default fitness boundary or population iteration meets default the number of iterations, determine
The current corresponding one group of operational factor of local optimum individual is the corresponding one group of optimized operation parameter of the current operating conditions；
When the fitness of local optimum individual is unsatisfactory for default fitness boundary and population iteration is unsatisfactory for default population iteration time
When number, current parameter group is subjected to population iteration, and according to the parameter group after iteration, determine that the equipment is currently run
Corresponding one group of optimized operation parameter under state；The population iteration is by all individual to the part of parameter current group
Optimum individual offset.
7. method as claimed in claim 6, which is characterized in that the fitness of local optimum individual meets default fitness circle
Limit, comprising:
The corresponding fitness of local optimum individual currently updated, adaptation corresponding with the local optimum of last update individual
The difference of degree is less than default fitness threshold value.
8. the method as described in claim 1, which is characterized in that when the equipment is air-conditioning, the operating status of the equipment is
Refrigerating state, heating state, temperature constant state, the operating parameter are the outer rotation speed of fan of air-conditioning.
9. a kind of equipment of Energy Saving Control, which is characterized in that the equipment includes processor and memory, wherein the processor
For:
Obtain the current operating conditions of the equipment；
According to the mapping relations of the preset operating state of the equipment and operating parameter, determined using particle swarm algorithm described current
The corresponding one group of optimized operation parameter of operating status；
Under the current operating conditions, run using equipment described in the optimized operation state modulator.
10. a kind of computer can storage medium, be stored thereon with computer program, which is characterized in that the program is held by processor
The step of the method as any such as claim 1~8 is realized when row.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910038357.1A CN109882995B (en) | 2019-01-16 | 2019-01-16 | Equipment and energy-saving control method thereof |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910038357.1A CN109882995B (en) | 2019-01-16 | 2019-01-16 | Equipment and energy-saving control method thereof |
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| CN109882995A true CN109882995A (en) | 2019-06-14 |
| CN109882995B CN109882995B (en) | 2020-03-27 |
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| CN110736243A (en) * | 2019-10-29 | 2020-01-31 | 珠海格力电器股份有限公司 | Control method and device for air conditioner and temperature regulator |
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