CN115717807B - Control method of refrigeration house equipment, controller, air conditioner and refrigeration house - Google Patents
Control method of refrigeration house equipment, controller, air conditioner and refrigeration house Download PDFInfo
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- CN115717807B CN115717807B CN202211484721.5A CN202211484721A CN115717807B CN 115717807 B CN115717807 B CN 115717807B CN 202211484721 A CN202211484721 A CN 202211484721A CN 115717807 B CN115717807 B CN 115717807B
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- 238000005057 refrigeration Methods 0.000 title claims abstract description 73
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000004378 air conditioning Methods 0.000 description 18
- 235000012055 fruits and vegetables Nutrition 0.000 description 9
- 238000010586 diagram Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 8
- 241000220225 Malus Species 0.000 description 5
- 241000234295 Musa Species 0.000 description 5
- 238000013507 mapping Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 235000021015 bananas Nutrition 0.000 description 4
- 230000008859 change Effects 0.000 description 4
- 238000001514 detection method Methods 0.000 description 4
- 235000021016 apples Nutrition 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000000241 respiratory effect Effects 0.000 description 3
- 238000003491 array Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 235000013311 vegetables Nutrition 0.000 description 2
- 235000018290 Musa x paradisiaca Nutrition 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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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
- Y02E60/14—Thermal energy storage
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Abstract
The application relates to a control method of refrigeration house equipment, a controller, an air conditioner and a refrigeration house, and belongs to the technical field of intelligent control. The application can acquire the goods image in the refrigeration house; obtaining cargo parameters matched with the cargo image by carrying out image recognition on the cargo image; determining an air conditioner operation parameter based on the cargo parameter; and controlling the air conditioner in the refrigeration house to operate according to the air conditioner operation parameters. The application is helpful to solve the problem of low intelligent degree of the control mode.
Description
Technical Field
The application belongs to the technical field of intelligent control, and particularly relates to a control method of refrigeration house equipment, a controller, an air conditioner and a refrigeration house.
Background
At present, when fruits and vegetables are transported, a vehicle-mounted movable refrigeration house is often adopted to refrigerate and preserve the fruits and vegetables, so that the corrosion rate of the fruits and vegetables in the transportation process is reduced.
In practice, it is found that the air conditioner control mode applied to the vehicle-mounted mobile refrigeration house is to automatically stop when the temperature is reduced to the set temperature. However, the control mode of the air conditioner adopts the same control mode aiming at different fruits and vegetables, the control mode is single, and the control cannot be controlled in a targeted manner according to different refrigeration and preservation requirements of different fruits and vegetables. It can be seen that the current control mode has the problem of low intelligent degree.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
Therefore, the application provides a control method of refrigeration house equipment, a controller, an air conditioner and a refrigeration house, which are beneficial to solving the problem of low intelligent degree of a control mode.
In order to achieve the above purpose, the application adopts the following technical scheme:
in a first aspect, the present application provides a control method of a refrigerator apparatus, the method comprising:
acquiring a cargo image in a refrigeration house;
Obtaining cargo parameters matched with the cargo image by carrying out image recognition on the cargo image;
Determining an air conditioner operation parameter based on the cargo parameter;
And controlling the air conditioner in the refrigeration house to operate according to the air conditioner operation parameters.
Further, the cargo parameter comprises at least one of: the cargo type, cargo volume, and cargo weight; and
Obtaining cargo parameters matched with the cargo image by carrying out image recognition on the cargo image, wherein the method comprises the following steps:
performing image recognition on the goods image to determine the goods type; and/or
Performing image recognition on the goods image, determining the size of the goods, and calculating the goods volume based on the size of the goods; and/or
And calculating the weight of the cargo based on the cargo type and the cargo volume.
Further, the air conditioner operation parameters include at least one of: operating frequency, boot interval duration, boot duration; and
Based on the cargo parameter, determining an air conditioner operating parameter, comprising:
determining a first operating curve that matches the cargo parameter; wherein the abscissa of the first operating curve is time and the ordinate is the operating frequency;
And determining the operating frequency, the starting interval duration and the starting duration based on the first operating curve.
Further, determining a first operating curve that matches the cargo parameter includes:
determining a target refrigeration temperature that matches the cargo parameter;
the first operating curve is determined based on the cargo parameter, the target refrigeration temperature, and a current ambient temperature of the refrigeration storage.
Further, the method further comprises:
acquiring humidity information in a refrigeration house;
and if the humidity information meets the preset humidity condition, controlling a humidifier in the refrigeration house to humidify the refrigeration house.
Further, the preset humidity condition includes:
the humidity information is not matched with the corresponding humidity in the second operation curve; the second operating curve is a curve matched with the cargo parameter, wherein the abscissa is time and the ordinate is humidity.
Further, if the humidity information meets a preset humidity condition, controlling a humidifier in the refrigerator to humidify the refrigerator, including:
And if the humidity information meets the preset humidity condition and the humidifier is not started, controlling the humidifier to start so as to humidify the refrigeration house.
In a second aspect, the present application provides a controller comprising:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the associated method of the first aspect.
In a third aspect, the present application provides an air conditioner comprising a controller as described in the second aspect.
In a fourth aspect, the present application provides a refrigerator, comprising an air conditioner, a humidifier, a humidity sensor, a temperature sensor and an image pickup device according to the third aspect; the controller in the air conditioner is respectively connected with the humidity sensor, the temperature sensor, the image pickup device and the humidifier;
The temperature sensor is used for collecting the current ambient temperature of the refrigerator and sending the current ambient temperature to the controller;
The humidity sensor is used for collecting humidity information in the refrigerator and sending the humidity information to the controller;
The camera device is used for collecting the goods image in the refrigerator and sending the goods image to the controller.
The application adopts the technical proposal and has at least the following beneficial effects:
According to the scheme, the goods parameters in the refrigeration house can be obtained by carrying out image recognition on the goods images in the refrigeration house, then, the matched air conditioner operation parameters can be determined based on the preset mapping relation between the goods parameters and the air conditioner operation parameters, and the air conditioner in the refrigeration house is controlled to operate according to the air conditioner operation parameters, so that the aim of aiming at different goods is achieved, the air conditioner operation is controlled by adopting the air conditioner operation parameters determined in a targeted manner, different refrigeration and fresh-keeping requirements of different fruit and vegetable goods can be met, and the intelligent degree of a control mode is improved.
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.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart illustrating a method of controlling a refrigeration appliance according to an exemplary embodiment;
FIG. 2 is a flow chart illustrating another method of controlling a refrigeration appliance according to an exemplary embodiment;
FIG. 3 is a block diagram schematic diagram of a controller, shown according to an example embodiment;
FIG. 4 is a block diagram schematic diagram of an air conditioner according to an exemplary embodiment;
Fig. 5 is a block diagram of a refrigerator according to an exemplary embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, based on the examples herein, which are within the scope of the application as defined by the claims, will be within the scope of the application as defined by the claims.
Referring to fig. 1, fig. 1 is a flowchart illustrating a control method of a refrigerator apparatus according to an exemplary embodiment, the control method of the refrigerator apparatus including the steps of:
and step S101, acquiring a cargo image in the refrigeration house.
In this embodiment, the execution body may be a core controller of a cooling air conditioning unit in a refrigerator. The refrigerator is preferably a vehicle-mounted mobile refrigerator.
The machine vision system is used for collecting goods images in the refrigeration house and sending the goods images to the execution main body. The execution subject establishes a connection with the machine vision system in advance. The machine vision system may be a camera, or may be any other sensor capable of identifying the type and volume of the cargo, which is not limited in this embodiment.
The goods image refers to an image containing goods in a refrigeration house, and the goods can be transported in the vehicle-mounted mobile refrigeration house, such as fruits, vegetables and the like. The number of the goods in the refrigerator is usually plural, and the number of the goods is at least one. Wherein the number of cargo images corresponding to the cargoes may be at least one.
And step S102, obtaining cargo parameters matched with the cargo image by carrying out image recognition on the cargo image.
In this embodiment, the execution subject may perform image recognition on the cargo image to obtain cargo parameters that match the cargo image. The cargo parameters herein may include, but are not limited to, cargo quantity, cargo type, cargo volume, cargo weight, etc., and the embodiment is not limited to specific cargo parameter types. Specifically, the image recognition herein may use various existing machine vision recognition algorithms, which is not limited in this embodiment.
And step 103, determining the operation parameters of the air conditioner based on the cargo parameters.
In this embodiment, the execution body may pre-establish a mapping relationship between various cargo parameters and air-conditioning operation parameters, and when determining the air-conditioning operation parameters by practical application, may invoke the mapping relationship to determine the air-conditioning operation parameters matched with the cargo parameters. The air conditioner operation parameter may be a parameter for indicating an air conditioner operation state, and may include, but is not limited to, an air conditioner operation frequency, a start-up duration of the air conditioner, a start-up interval duration of the air conditioner, and the like, which is not limited in this embodiment.
And step S104, controlling the air conditioner in the refrigeration house to operate according to the air conditioner operation parameters.
In this embodiment, the execution body may control the air conditioner in the refrigerator to operate according to the above-described air conditioner operation parameters, for example, the execution body may control the air conditioner in the refrigerator to operate according to the above-described air conditioner operation frequency.
As an alternative embodiment, the cargo parameter includes at least one of: the cargo type, cargo volume, and cargo weight; and
Obtaining cargo parameters matched with the cargo image by carrying out image recognition on the cargo image, wherein the method comprises the following steps:
performing image recognition on the goods image to determine the goods type; and/or
Performing image recognition on the goods image, determining the size of the goods, and calculating the goods volume based on the size of the goods; and/or
And calculating the weight of the cargo based on the cargo type and the cargo volume.
In this embodiment, the cargo parameters may include cargo types, and for the identification of cargo types, the cargo types may be obtained directly through image identification by using an existing image classification technique. The cargo parameters can also comprise cargo volume, for determining the cargo volume, the cargo size can be determined by using the existing image detection method, the cargo size can be the length, width and height of the cargo, and then the execution main body can calculate and convert the volume according to the cargo size to obtain the cargo volume. For the determination of the weight of the cargo, the cargo volume and the cargo type can be used for calculation. Specifically, the executing body can determine the conversion relationship between the cargo volume and the cargo weight according to the cargo type, and then determine the matched cargo weight based on the cargo volume. Alternatively, the amount of cargo may also be considered in calculating the weight of the cargo. Specifically, according to the conversion relation between the cargo volume and the cargo weight, the weight corresponding to the single cargo volume can be determined and obtained, and then the final cargo weight can be obtained by multiplying the cargo quantity.
As an alternative embodiment, the air conditioner operating parameters include at least one of: operating frequency, boot interval duration, boot duration; and
Based on the cargo parameter, determining an air conditioner operating parameter, comprising:
determining a first operating curve that matches the cargo parameter; wherein the abscissa of the first operating curve is time and the ordinate is the operating frequency;
And determining the operating frequency, the starting interval duration and the starting duration based on the first operating curve.
In this embodiment, when the air conditioner is controlled to operate according to the operation parameters of the air conditioner, the operation frequency of the air conditioner, and the start-up time and the standby time of the air conditioner may be controlled. The starting interval time may be a standby time of the air conditioner.
Wherein the executing body may determine a first operating curve matching the cargo parameter after obtaining the cargo parameter. The execution body may have a correspondence between the cargo parameter and the operation curve stored in advance. The abscissa of the first operating curve may be time, and the ordinate may be an operating frequency. Specifically, the execution subject may determine an operation frequency corresponding to each point in time as the air conditioner operation parameter. And the execution body can determine and obtain the starting interval duration and the starting duration according to the change information of the operating frequency in the first operating curve. For example, if the first operation curve indicates that the operation frequency is maintained for a certain time with the normal frequency value, the duration of maintaining the normal frequency value is the start-up duration, that is, the duration of maintaining the start-up state of the air conditioner. Or if the first operation curve indicates that the operation frequency is maintained at a lower frequency value for a certain time, and then the operation frequency is increased to a normal frequency value, at this time, the period of time for which the lower frequency value is maintained is determined as the start-up interval period.
As an alternative embodiment, determining a first operating curve matching the cargo parameter comprises:
determining a target refrigeration temperature that matches the cargo parameter;
the first operating curve is determined based on the cargo parameter, the target refrigeration temperature, and a current ambient temperature of the refrigeration storage.
In this embodiment, the executing body may determine a target refrigeration temperature that matches the cargo parameter, and then may generate a first operating curve based on the cargo parameter, the target refrigeration temperature, and a current ambient temperature of the refrigerator. The executing body can store the corresponding relation among the cargo parameter, the target refrigeration temperature, the current environment temperature of the refrigeration house and the first operation curve in advance. Wherein the target refrigeration temperature is an optimal refrigeration temperature of the cargo.
The operation curve is used for representing a set of operation parameters to be followed by the refrigerating unit in the transportation period, and the set of operation parameters can be used for keeping the temperature point and saving the energy optimally. The set of parameters may be visualized as a series of curves. And displaying on a display terminal of the refrigerating unit for viewing.
As an alternative embodiment, the method further comprises:
acquiring humidity information in a refrigeration house;
and if the humidity information meets the preset humidity condition, controlling a humidifier in the refrigeration house to humidify the refrigeration house.
In this embodiment, the execution body may further establish connection with a humidity sensor in the refrigerator, and receive humidity information in the refrigerator collected by the humidity sensor, and if the humidity information indicates that the humidity of the current refrigerator satisfies a preset humidity condition, control a humidifier in the refrigerator to perform humidification processing on the refrigerator. The preset humidity condition can be used for indicating that the humidity of the refrigeration house is insufficient, and specifically, the humidity of the refrigeration house is lower than a preset humidity threshold value.
As an alternative embodiment, the preset humidity condition includes:
the humidity information is not matched with the corresponding humidity in the second operation curve; the second operating curve is a curve matched with the cargo parameter, wherein the abscissa is time and the ordinate is humidity.
In this embodiment, the executing body may determine the second operation curve according to the cargo parameter. The abscissa of the second operating curve may be time, and the ordinate may be humidity. The construction of the second operation curve is similar to that of the first operation curve, and this embodiment will not be described here again.
If the humidity information indicates that the humidity of the current refrigeration house is lower than the humidity value corresponding to the current moment in the second operation curve, the humidity information is determined to be not matched with the corresponding humidity in the second operation curve, and a humidifier in the refrigeration house is controlled to humidify the refrigeration house.
Optionally, the preset humidity condition may further include that the humidity of the refrigerator is too high, and specifically, the humidity of the refrigerator is higher than a preset temperature threshold. If the humidity of the current refrigeration house is higher than the humidity value corresponding to the current moment in the second operation curve, the humidity information is determined to be not matched with the corresponding humidity in the second operation curve, and the humidifier in the refrigeration house is controlled to stop humidification.
Optionally, the executing body may further construct a third operation curve with time on the abscissa and temperature on the ordinate, and output the third operation curve to intuitively represent the current temperature information.
As an optional implementation manner, if the humidity information meets a preset humidity condition, controlling the humidifier in the refrigeration house to humidify the refrigeration house, including:
And if the humidity information meets the preset humidity condition and the humidifier is not started, controlling the humidifier to start so as to humidify the refrigeration house.
In this embodiment, if the humidity information satisfies a preset humidity condition, the humidity condition at this time should be a condition for indicating that the humidity of the refrigerator is insufficient, and the humidifier is not turned on, the humidifier may be controlled to start the humidification process for the refrigerator. Optionally, if the humidity condition is a condition for indicating that the humidity of the refrigerator is too high, when the humidity information meets a preset humidity condition and the humidifier is turned on, the humidifier is controlled to be turned off so as to reduce the humidity in the refrigerator.
By adopting the embodiment, humidity control and air conditioning control can be combined, so that goods can be in an optimal storage state, and the aim of saving energy can be achieved.
Referring to fig. 2 together, fig. 2 is a flowchart illustrating another control method of a refrigerator apparatus according to an exemplary embodiment, and as shown in fig. 2, the control method of the refrigerator apparatus includes the steps of:
step S201, a machine recognition function is started.
In this embodiment, the executing body may start the machine recognition function to perform machine recognition on the cargo image acquired by the machine vision device.
And S202, determining the types and the quantity (volume) of the articles in the refrigerator.
In this embodiment, parameters such as the type, number, and volume of the articles in the refrigerator can be obtained by performing machine recognition on the image of the article.
And step 203, calling a corresponding algorithm according to the types and the quantity of the articles in the refrigerator.
In this embodiment, an algorithm matching with the above parameters may be preset, where the algorithm is an algorithm for controlling the operation of the air conditioner. After the types, the numbers and the volumes of the articles in the refrigeration house are obtained, an algorithm corresponding to the articles can be called according to the types, the numbers and the volumes of the articles so as to obtain a control method for the operation of the air conditioner in a targeted manner. Wherein, because the respiratory heat of different fruits and vegetables is different, the optimal storage temperature also has difference, so the requirements of different fruits and vegetables and weight on the refrigerating unit are different. If the banana has a larger heat of respiration than the apple, the same quantity of bananas will need more cold than the apple, and thus the requirements for the operation of the unit will be different. The executing main body can pre-store the corresponding relation between the types and weights of the fruits and the vegetables and the running requirements of the machine set, and then call the corresponding machine set running requirement executing algorithm according to the types and the number of the articles in the refrigeration house.
Step S204, a set of operation parameters corresponding to the unit is obtained and automatically updated.
In this embodiment, according to the above algorithm, a set of operation parameters corresponding to the air conditioning unit may be determined, where a set of operation parameters refers to operation parameters corresponding to each time point, and the air conditioning unit may be controlled to operate with corresponding operation parameters at each time point. And, a set of operation parameters corresponding to the air conditioning unit can be automatically updated along with the change of goods.
Step S205, the operation is performed according to the new unit logic parameters.
In this embodiment, after a set of operation parameters corresponding to the air conditioning unit is obtained, the air conditioning unit may be controlled to operate with the set of operation parameters.
Step S206, humidity detection is performed.
In this embodiment, the execution body may perform humidity detection on the refrigerator, and the humidity detection is usually performed to perform humidification processing for a case where the humidity is insufficient.
Step S207, judging whether the humidity requirement is met, if yes, executing step S206, and if no, executing step S208.
In this embodiment, if the humidity of the current refrigerator meets the humidity requirement, the humidity is higher, and the humidity requirement of the goods can be met. At this time, the humidity change may be continuously monitored in step S206. If the humidity of the current refrigeration house can not meet the humidity requirement, the humidity is lower, and humidification treatment is needed. At this time, step S208 may be performed to further determine whether the humidifier is turned on.
Step S208, determining whether the humidifier is turned on, if yes, executing step S206, and if no, executing step S209.
In this embodiment, if the humidifier is turned on, the process may return to step S206 to continuously monitor the humidity change. If the humidifier is not on, the humidifier may be activated for humidification.
Step S209, starting a humidifier for humidification.
For example, if the machine identification function is started, it is identified that 2 tons of apples (the type of the goods is apples and the weight of the goods is 2 tons) are being transported in the refrigerator, and if the environmental temperature at this time is 20 ℃, the temperature needs to be reduced to 0 ℃ for storage. The corresponding refrigerating unit needs to be standby after the temperature is reduced to the target temperature at the maximum operating frequency, and the unit needs to be started for 30 minutes at the frequency of 20Hz at intervals of 60 minutes according to the heat loss and the generated respiratory heat, so that the optimal temperature is maintained and the energy is saved most. The air conditioner operation parameters may include an operation condition of a maximum operation frequency (lowering the temperature to a target temperature), a start-up interval period (60 minutes) of the air conditioner unit, a start-up operation frequency (20 Hz), and a start-up period (30 minutes), among others. The air conditioner operation parameters can be pre-established with a mapping relation of 2 tons of apples.
Or if the machine identification function is started, the bananas (the types of goods are bananas and the weight of the goods is 2 tons) are identified to be transported in the current refrigeration house, and if the environmental temperature at the moment is 20 ℃, the temperature needs to be reduced to 1 ℃ for storage. The corresponding refrigerating unit needs to be standby after the temperature is reduced to the target temperature at the maximum operating frequency, and the unit needs to be started for 20 minutes at the frequency of 30Hz for 35 minutes at intervals according to the heat loss and the generated respiratory heat, so that the optimal temperature can be maintained and the energy is saved most. The air conditioner operation parameters may include an operation condition of a maximum operation frequency (lowering the temperature to a target temperature), a start-up interval period (35 minutes) of the air conditioner unit, a start-up operation frequency (30 Hz), and a start-up period (20 minutes), among others. These air conditioning operating parameters may be mapped beforehand to "2 tons of bananas".
The running logic parameters are all empirical values obtained through practical test verification, are written in a program preferentially, and are called and updated according to detected data.
According to the scheme, the goods parameters in the refrigeration house can be obtained by carrying out image recognition on the goods images in the refrigeration house, then, the matched air-conditioning operation parameters can be determined based on the preset mapping relation between the goods parameters and the air-conditioning operation parameters, and the air-conditioning in the refrigeration house is controlled to operate according to the air-conditioning operation parameters, so that the aim of aiming at different goods is achieved, the targeted air-conditioning operation parameters are adopted, the air-conditioning operation is controlled, different refrigeration and fresh-keeping requirements of different fruit and vegetable goods can be met, and the intelligent degree of a control mode is improved.
Referring to fig. 3, fig. 3 is a block diagram illustrating a controller according to an exemplary embodiment, the controller 3 includes:
At least one processor 31; and
A memory 32 communicatively coupled to the at least one processor 31; wherein,
The memory 32 stores instructions executable by the at least one processor 31 to enable the at least one processor 31 to perform the methods of the present application.
The controller 3 is the subject of execution of the above related methods, and specific application embodiments of the controller 3 are described in detail in the above related embodiments, which will not be described in detail herein.
Referring to fig. 4, fig. 4 is a block diagram schematically illustrating an air conditioner according to an exemplary embodiment, which may include the controller 3 described above.
Referring to fig. 5, fig. 5 is a schematic block diagram of a refrigerator according to an exemplary embodiment, and as shown in fig. 5, the refrigerator includes the air conditioner (refrigerating air conditioning unit), a humidifier (not shown), a humidity sensor, a temperature sensor, and an image pickup device; wherein a controller (core controller) in the air conditioner is respectively connected with the humidity sensor, the temperature sensor, the image pickup device and the humidifier;
The temperature sensor is used for collecting the current ambient temperature of the refrigerator and sending the current ambient temperature to the controller;
The humidity sensor is used for collecting humidity information in the refrigerator and sending the humidity information to the controller;
The camera device is used for collecting the goods image in the refrigerator and sending the goods image to the controller.
The temperature and humidity sensor shown in fig. 5 may detect both the temperature in the refrigerator and the humidity in the refrigerator. In practical application, the temperature sensor and the humidity sensor may be used at the same time, which is not limited in this embodiment. In addition, in practical applications, the number of devices such as a temperature sensor, a humidity sensor, a camera, and a humidifier is not limited in this embodiment. And, the goods and materials placing area shown in fig. 5 is used for placing goods.
The core controller in fig. 5 is the execution subject of the related method, and for the specific application embodiments, the related embodiments are described in detail, which will not be described in detail herein.
It is to be understood that the same or similar parts in the above embodiments may be referred to each other, and that in some embodiments, the same or similar parts in other embodiments may be referred to.
It should be noted that in the description of the present application, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present application, unless otherwise indicated, the meaning of "plurality", "multiple" means at least two.
It will be understood that when an element is referred to as being "mounted" or "disposed" on another element, it can be directly on the other element or intervening elements may also be present; when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may be present, and further, as used herein, connection may comprise a wireless connection; the use of the term "and/or" includes any and all combinations of one or more of the associated listed items.
Any process or method description in a flowchart or otherwise described herein may be understood as: means, segments, or portions of code representing executable instructions including one or more steps for implementing specific logical functions or processes are included in the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including in a substantially simultaneous manner or in an inverse order, depending upon the function involved, as would be understood by those skilled in the art of embodiments of the present application.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (8)
1. A control method of a refrigerator apparatus, the method comprising:
acquiring a cargo image in a refrigeration house;
Obtaining cargo parameters matched with the cargo image by carrying out image recognition on the cargo image;
Determining an air conditioner operation parameter based on the cargo parameter;
Controlling an air conditioner in the refrigeration house to operate according to the air conditioner operation parameters;
The air conditioner operation parameters include at least one of the following: operating frequency, boot interval duration, boot duration; and
Based on the cargo parameter, determining an air conditioner operating parameter, comprising:
Determining a first operating curve that matches the cargo parameter, comprising: determining a target refrigeration temperature that matches the cargo parameter; determining the first operating curve based on the cargo parameter, the target refrigeration temperature, and a current ambient temperature of the refrigeration storage; wherein the abscissa of the first operating curve is time and the ordinate is the operating frequency;
And determining the operating frequency, the starting interval duration and the starting duration based on the first operating curve.
2. The method of claim 1, wherein the cargo parameter comprises at least one of: the cargo type, cargo volume, and cargo weight; and
Obtaining cargo parameters matched with the cargo image by carrying out image recognition on the cargo image, wherein the method comprises the following steps:
performing image recognition on the goods image to determine the goods type; and/or
Performing image recognition on the goods image, determining the size of the goods, and calculating the goods volume based on the size of the goods; and/or
And calculating the weight of the cargo based on the cargo type and the cargo volume.
3. The method according to claim 1, wherein the method further comprises:
acquiring humidity information in the refrigeration house;
And if the humidity information meets the preset humidity condition, controlling a humidifier in the refrigeration house to humidify the refrigeration house.
4. A method according to claim 3, wherein the predetermined humidity condition comprises:
the humidity information is not matched with the corresponding humidity in the second operation curve; the second operating curve is a curve matched with the cargo parameter, wherein the abscissa is time and the ordinate is humidity.
5. A method according to claim 3, wherein controlling the humidifier in the refrigerator to humidify the refrigerator if the humidity information satisfies a preset humidity condition comprises:
And if the humidity information meets the preset humidity condition and the humidifier is not started, controlling the humidifier to start so as to humidify the refrigerator.
6. A controller, comprising:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.
7. An air conditioner comprising the controller of claim 6.
8. A refrigerator, comprising the air conditioner, the humidifier, the humidity sensor, the temperature sensor and the image pickup device according to claim 7; the controller in the air conditioner is respectively connected with the humidity sensor, the temperature sensor, the image pickup device and the humidifier;
The temperature sensor is used for collecting the current ambient temperature of the refrigerator and sending the current ambient temperature to the controller;
The humidity sensor is used for collecting humidity information in the refrigerator and sending the humidity information to the controller;
The camera device is used for collecting the goods image in the refrigerator and sending the goods image to the controller.
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