CN115717807A - Control method and controller of refrigeration house equipment, air conditioner and refrigeration house - Google Patents
Control method and controller of refrigeration house equipment, air conditioner and refrigeration house Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 38
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- 235000012055 fruits and vegetables Nutrition 0.000 description 8
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- 238000010586 diagram Methods 0.000 description 6
- 241000220225 Malus Species 0.000 description 5
- 241000234295 Musa Species 0.000 description 5
- 235000021016 apples Nutrition 0.000 description 4
- 230000008859 change Effects 0.000 description 4
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- 235000021015 bananas Nutrition 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 3
- 235000013399 edible fruits Nutrition 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000000241 respiratory effect Effects 0.000 description 3
- 235000013311 vegetables Nutrition 0.000 description 3
- 235000018290 Musa x paradisiaca Nutrition 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
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- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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Abstract
The application relates to a control method of a refrigeration house device, a controller, an air conditioner and a refrigeration house, and belongs to the technical field of intelligent control. The method and the device can acquire the goods image in the refrigeration house; carrying out image recognition on the cargo image to obtain cargo parameters matched with the cargo image; determining air conditioner operating parameters based on the cargo parameters; and controlling the air conditioner in the refrigeration house to operate according to the air conditioner operation parameters. Through this application, help solving the lower problem of intelligent degree of control mode.
Description
Technical Field
The application belongs to the technical field of intelligent control, and particularly relates to a control method of a refrigeration house device, a controller, an air conditioner and a refrigeration house.
Background
At present, when transporting fruits and vegetables, the vehicular mobile refrigeration house is often adopted to refrigerate and keep fresh the fruits and vegetables so as to reduce the corrosion rate in the transportation process of the fruits and vegetables.
In practice, the air conditioner applied to the vehicle-mounted mobile refrigeration house is found to be automatically stopped when the temperature is reduced to a set temperature. However, the control mode of the air conditioner is the same control mode for different fruits and vegetables, the control mode is single, and the targeted control cannot be performed according to different refrigeration and preservation requirements of different fruits and vegetables. Therefore, the existing control mode has the problem of low intelligence degree.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
Therefore, the control method of the refrigeration house equipment, the controller, the air conditioner and the refrigeration house are provided, and the problem that the intelligent degree of the control mode is low is solved.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect, the present application provides a method of controlling a cold storage device, the method comprising:
acquiring an image of goods in a refrigeration storage;
carrying out image recognition on the cargo image to obtain cargo parameters matched with the cargo image;
determining air conditioner operating parameters based on the cargo parameters;
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: cargo type, cargo volume, cargo weight; and
through carrying out image recognition on the cargo image, acquiring cargo parameters matched with the cargo image, wherein the cargo parameters comprise:
carrying out image recognition on the cargo image to determine the cargo type; and/or
Carrying out image recognition on the cargo image, determining the cargo size, and calculating to obtain the cargo volume based on the cargo size; and/or
Calculating the cargo weight based on the cargo type and the cargo volume.
Further, the air conditioner operation parameters include at least one of: running frequency, starting interval duration and starting duration; and
determining air conditioner operating parameters based on the cargo parameters, including:
determining a first operating curve matched with 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 matching the cargo parameter;
and determining the first operation curve based on the cargo parameter, the target refrigeration temperature and the current environment temperature of the refrigeration house.
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 perform humidification treatment on the refrigeration house.
Further, the preset humidity conditions include:
the humidity information does not match a corresponding humidity in a second operating curve; the second operation curve is a curve which is matched with the cargo parameter, and the abscissa of the curve is time and the ordinate of the curve is humidity.
Further, if humidity information satisfies the predetermined humidity condition, then control the humidifier in the freezer and carry out humidification to the freezer, include:
if the humidity information meets the preset humidity condition and the humidifier is not started, the humidifier is controlled to be started to perform humidification treatment on 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 content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first aspect.
In a third aspect, the present application provides an air conditioner comprising the controller of the second aspect.
In a fourth aspect, the present application provides a refrigeration storage, comprising the air conditioner, the humidifier, the humidity sensor, the temperature sensor, and the imaging device according to the third aspect; the controller in the air conditioner is respectively connected with the humidity sensor, the temperature sensor, the camera device and the humidifier;
the temperature sensor is used for acquiring the current environment temperature of the refrigeration house and sending the current environment temperature to the controller;
the humidity sensor is used for acquiring humidity information in the refrigeration house and sending the humidity information to the controller;
the camera device is used for collecting goods images in the refrigeration house and sending the goods images to the controller.
This application adopts above technical scheme, possesses following beneficial effect at least:
through this application scheme, through carrying out image recognition to the goods image in the freezer, can obtain the goods parameter in the freezer, afterwards, can determine assorted air conditioner operating parameter based on the mapping relation between preset goods parameter and the air conditioner operating parameter, and control the air conditioner in the freezer and move according to the air conditioner operating parameter, thereby realize to different goods, adopt the air conditioner operating parameter that the pertinence is confirmed, control the air conditioner operation, can adapt to the different cold-stored fresh-keeping demands of different fruit vegetables goods, and then improved control mode's intelligent degree.
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.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating a control method of a cold storage apparatus according to an exemplary embodiment;
fig. 2 is a flowchart illustrating another method of controlling a cold storage device according to an exemplary embodiment;
FIG. 3 is a block diagram schematic of a controller shown in accordance with an exemplary embodiment;
FIG. 4 is a block diagram schematic of an air conditioner shown according to an exemplary embodiment;
FIG. 5 is a block diagram schematic of a refrigerated storage shown 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 should be apparent that the described embodiments are only a few embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for controlling a refrigerator device according to an exemplary embodiment, the method for controlling the refrigerator device including the steps of:
and S101, acquiring a cargo image in the refrigeration house.
In this embodiment, the execution main body may be a core controller of a refrigerating air conditioning unit in a refrigerator. The refrigerator is preferably a mobile vehicle-mounted refrigerator.
The machine vision system is used for acquiring goods images in the refrigeration house and sending the goods images to the execution main body. The executive body establishes a connection with the machine vision system in advance. The machine vision system may be a camera or other various sensors capable of recognizing the types and volumes of the goods, 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 goods transported by a vehicle-mounted mobile refrigeration house, such as fruits, vegetables and the like. In general, the number of cargoes in a refrigerator is plural, and the kind of the cargoes is at least one. Wherein the number of the goods images corresponding to the goods may be at least one.
And S102, carrying out image recognition on the cargo image to obtain cargo parameters matched with the cargo image.
In this embodiment, the execution subject may perform image recognition on the cargo image to obtain the cargo parameter matched with the cargo image. The cargo parameters may include, but are not limited to, the number of cargo, the type of cargo, the volume of cargo, the weight of cargo, and the like, and the specific type of cargo parameter is not limited in this embodiment. Specifically, the image recognition may use various existing machine vision recognition algorithms, which is not limited in this embodiment.
And S103, determining air conditioner operation parameters based on the cargo parameters.
In this embodiment, the execution main body may pre-establish a mapping relationship between various cargo parameters and air conditioner operation parameters, and when determining the air conditioner operation parameters in actual application, may call the mapping relationship to determine the air conditioner operation parameters matching the cargo parameters. The air conditioner operation parameter may be a parameter used for indicating an air conditioner operation state, and may include, but is not limited to, an air conditioner operation frequency, an air conditioner startup duration, an air conditioner startup interval duration, and the like, which is not limited in this embodiment.
And S104, controlling the air conditioner in the refrigeration house to operate according to the air conditioner operation parameters.
In this embodiment, the execution main body may control the air conditioner in the refrigeration storage to operate according to the air conditioner operation parameters, for example, the execution main body may control the air conditioner in the refrigeration storage to operate according to the air conditioner operation frequency.
As an alternative embodiment, the cargo parameter comprises at least one of: cargo type, cargo volume, cargo weight; and
through to carry out image recognition to the goods image, obtain with goods image assorted goods parameter includes:
carrying out image recognition on the cargo image to determine the cargo type; and/or
Carrying out image recognition on the cargo image, determining the cargo size, and calculating to obtain the cargo volume based on the cargo size; and/or
And calculating the cargo weight based on the cargo type and the cargo volume.
In this embodiment, the cargo parameter may include a cargo type, and for identifying the cargo type, the cargo type may be identified by using an existing image classification technology, and the cargo type is directly obtained through image identification. The cargo parameters can also comprise cargo volume, for the determination of the cargo volume, the cargo size can be determined by utilizing the existing image detection method, the cargo size can be the length, the width and the height of the cargo, and then, the execution main body can perform volume calculation conversion according to the cargo size to obtain the cargo volume. For the determination of the cargo weight, the cargo volume and the cargo type can be used for calculation. Specifically, the execution main body can determine the conversion relation between the cargo volume and the cargo weight according to the cargo type, and then determine to obtain the matched cargo weight based on the cargo volume. Optionally, the number of items may also be considered when calculating the weight of the items. Specifically, the weight corresponding to the volume of a single cargo is determined according to the conversion relationship between the volume of the cargo and the weight of the cargo, and then the weight is multiplied by the number of the cargo to obtain the final weight of the cargo.
As an optional embodiment, the air conditioner operation parameter includes at least one of: running frequency, starting interval duration and starting duration; and
determining air conditioner operating parameters based on the cargo parameters, including:
determining a first operating curve matched with 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 air conditioner operation parameters, the operation frequency of the air conditioner may be controlled, and the on-time and the standby-time of the air conditioner may be controlled. The starting interval time can be the standby time of the air conditioner.
After the cargo parameters are obtained, the execution body can determine a first operation curve matched with the cargo parameters. The execution body may store in advance a correspondence between the cargo parameter and the operation curve. The abscissa of the first operation curve may be time, and the ordinate may be the operation frequency. Specifically, the execution main body may determine an operation frequency corresponding to each time point as an air conditioner operation parameter. And the execution main 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 operation frequency indicated in the first operation curve is maintained at the normal frequency value for a certain time, the time period during which the normal frequency value is maintained is the on-time period, that is, the time period during which the air conditioner is maintained in the on-state. Or, if the operation frequency indicated in the first operation curve is kept 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 time length of keeping the lower frequency value is determined as the time length of the power-on interval.
As an alternative embodiment, determining a first operating curve matching the cargo parameter includes:
determining a target refrigeration temperature matching the cargo parameter;
determining the first operating curve based on the cargo parameter, the target refrigeration temperature and the current ambient temperature of the cold store.
In this embodiment, the executive agent may determine a target refrigeration temperature matching the cargo parameter, and then may generate a first operation curve based on the cargo parameter, the target refrigeration temperature, and the current ambient temperature of the refrigerator. The execution main body can pre-store the corresponding relation between the cargo parameter, the target refrigeration temperature, the current environment temperature of the refrigeration house and the first operation curve. Wherein the target refrigerating temperature is the optimal refrigerating temperature of the goods.
The operating curve is used for representing a set of operating parameters to be followed by the refrigerating unit in the transportation period, and the set of operating parameters can take temperature point maintenance and optimal energy conservation into consideration. 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 optional implementation, 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 perform humidification treatment on the refrigeration house.
In this embodiment, the execution main body may further establish a connection with a humidity sensor in the freezer, receive humidity information in the freezer collected by the humidity sensor, and control a humidifier in the freezer to perform humidification processing on the freezer if the humidity information indicates that the current humidity of the freezer meets a preset humidity condition. 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 corresponding humidity in a second operating curve; the second operation curve is a curve which is matched with the cargo parameter, and the abscissa of the curve is time and the ordinate of the curve is humidity.
In this embodiment, the executive body may determine the second operating curve based on the cargo parameter. The abscissa of the second operation 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 is not described herein again.
And 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, determining that the humidity information is not matched with the corresponding humidity in the second operation curve, and controlling a humidifier in the refrigeration house to humidify the refrigeration house.
Optionally, the preset humidity condition may further include that the humidity of the refrigeration storage is too high, and specifically, the humidity of the refrigeration storage is higher than a preset temperature threshold. And if the humidity of the current freezer is higher than the humidity value corresponding to the current moment in the second operation curve, determining that the humidity information is not matched with the corresponding humidity in the second operation curve, and controlling a humidifier in the freezer to stop humidifying.
Optionally, the execution main body may further construct a third operation curve with the abscissa as time and the ordinate as temperature, and output the third operation curve to visually represent the current temperature information.
As an optional implementation manner, if the humidity information satisfies a preset humidity condition, controlling a humidifier in the refrigerator to perform humidification processing on the refrigerator includes:
and if the humidity information meets the preset humidity condition and the humidifier is not started, controlling the humidifier to be started so as to perform humidification treatment on the refrigeration house.
In the present embodiment, if the humidity information satisfies a preset humidity condition, the humidity condition at this time is 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 refrigeration storage is too high, the humidifier is controlled to be closed when the humidity information meets a preset humidity condition and the humidifier is turned on, so as to reduce the humidity in the refrigeration storage.
By adopting the embodiment, the humidity control and the air conditioner control can be combined, so that the goods can be in the optimal storage state, and the energy-saving purpose can be achieved.
Referring to fig. 2 together, fig. 2 is a flowchart illustrating another method for controlling a cold storage device according to an exemplary embodiment, and as shown in fig. 2, the method for controlling a cold storage device includes the following steps:
step S201, the device identification function is started.
In this embodiment, the execution subject may start a machine recognition function to perform machine recognition on the cargo image acquired by the machine vision device.
Step S202, the type and quantity (volume) of the articles in the cold storage are determined.
In this embodiment, parameters such as the type, number, and volume of articles in the refrigerator can be obtained by machine recognition of the cargo image.
And step S203, calling a corresponding algorithm according to the types and the quantity of the articles in the cold storage.
In this embodiment, an algorithm matching the above parameters may be preset, and the algorithm is an algorithm for controlling the operation of the air conditioner. After the type, the number and the volume of the articles in the cold storage are obtained, an algorithm corresponding to the articles can be called according to the type, the number and the volume of the articles, so that a control method for the operation of the air conditioner is obtained in a targeted manner. The refrigeration unit is provided with a refrigeration storage unit, a refrigeration storage unit and a control unit, wherein the refrigeration storage unit is used for storing the fruits and vegetables, and the refrigeration storage unit is used for storing the fruits and vegetables. If the respiratory heat of the bananas is larger than that of the apples, the bananas with the same quantity need more cold than the apples, and therefore, the running requirements of the unit are different. The execution main body can pre-store the corresponding relation between the type and the weight of each fruit and vegetable and the unit operation requirement, and then call the corresponding unit operation requirement execution algorithm according to the type and the quantity of the articles in the cold storage.
And S204, obtaining a set of operation parameters corresponding to the unit and automatically updating.
In this embodiment, according to the above algorithm, a set of operation parameters corresponding to the air conditioning unit may be determined and obtained, 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 according to the 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 the goods.
And step S205, operating 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 according to the set of operation parameters.
And step S206, humidity detection is carried out.
In this embodiment, the execution main body may also perform humidity detection on the refrigerator, and the humidity detection is generally performed for a case where the humidity is insufficient.
And step S207, judging whether the humidity requirement is met, if so, executing step S206, and if not, executing step S208.
In this embodiment, if the humidity of current freezer satisfies the humidity requirement, then explain that humidity is higher, can satisfy the humidity demand of goods. At this time, the humidity change may be continuously monitored back to step S206. If the humidity of the current refrigeration house can not meet the humidity requirement, the humidity is low, and humidification treatment is needed. At this time, step S208 may be performed to further determine whether the humidifier is turned on.
And step S208, judging whether the humidifier is started, if so, executing step S206, and if not, executing step S209.
In this embodiment, if the humidifier is turned on, the step S206 may be returned to continuously monitor the humidity change. If the humidifier is not turned on, the humidifier may be activated for humidification.
And step S209, starting a humidifier for humidification.
For example, if the machine identification function is started, and it is identified that 2 tons of apples (the type of the goods is apple, and the weight of the goods is 2 tons) are currently being transported in the refrigerator, the ambient temperature at this time needs to be reduced to 0 ℃ for storage if the ambient temperature is 20 ℃. The corresponding refrigerating unit needs to reduce the temperature to the target temperature at the maximum operation frequency and then wait, and the unit needs to be started up at the frequency of 20Hz for 30 minutes at an interval of 60 minutes according to the heat loss and the generated respiratory heat, so that the optimal temperature is maintained and the most energy is saved. The air conditioner operation parameters may include an operation condition of a maximum operation frequency (to lower the temperature to a target temperature), a turn-on interval duration (60 minutes) of the air conditioning unit, a turn-on operation frequency (20 Hz), and a turn-on duration (30 minutes). These air conditioner operation parameters can be mapped with "2 tons of apples" in advance.
Or, if the machine recognition function is started, it is recognized that the current refrigerator is transporting 2 tons of bananas (the goods are of the banana type and the weight of the goods is 2 tons), and if the environment temperature at the moment is 20 ℃, the temperature needs to be reduced to 1 ℃ for storage. The corresponding refrigerating unit needs to reduce the temperature to the target temperature at the maximum operation frequency and then wait, and the unit needs to be started up at the frequency of 30Hz for 20 minutes at intervals of 35 minutes according to the heat loss and the generated respiratory heat, so that the optimal temperature can be maintained and the most energy can be saved. The air conditioner operation parameters may include an operation condition of a maximum operation frequency (to lower the temperature to a target temperature), a turn-on interval duration (35 minutes) of the air conditioning unit, a turn-on operation frequency (30 Hz), and a turn-on duration (20 minutes). These air conditioning operating parameters may be mapped in advance with "2 tonne banana".
The operation logic parameters are empirical values obtained through actual test verification, are preferentially written in a program, and are called and updated according to detected data.
Through this application scheme, carry out image recognition through the goods image to in the freezer, can obtain the goods parameter in the freezer, afterwards, can determine assorted air conditioner operating parameter based on the mapping relation between preset goods parameter and the air conditioner operating parameter, and control the air conditioner in the freezer and move according to the air conditioner operating parameter, thereby realize to different goods, adopt the air conditioner operating parameter of pertinence, control the air conditioner operation, can adapt to the different cold-stored fresh-keeping demands of different fruit vegetables goods, and then improved control mode's intelligent degree.
Referring to fig. 3, fig. 3 is a block diagram of a controller according to an exemplary embodiment, where the controller 3 includes:
at least one processor 31; and
a memory 32 communicatively coupled to the at least one processor 31; wherein the content of the first and second substances,
the memory 32 stores instructions executable by the at least one processor 31, the instructions being executable by the at least one processor 31 to enable the at least one processor 31 to perform methods associated with the present application.
The controller 3 is an execution subject of the related method, and for a specific application embodiment of the controller 3, detailed description is given in the related embodiment, and detailed description will not be given here.
Referring to fig. 4, fig. 4 is a block diagram 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), the humidifier (not shown), the humidity sensor, the temperature sensor, and the camera device; wherein a controller (core controller) in the air conditioner is respectively connected with the humidity sensor, the temperature sensor, the camera device and the humidifier;
the temperature sensor is used for acquiring the current environment temperature of the refrigeration house and sending the current environment temperature to the controller;
the humidity sensor is used for acquiring humidity information in the refrigeration house and sending the humidity information to the controller;
the camera device is used for collecting goods images in the refrigeration house and sending the goods images to the controller.
The temperature/humidity sensor shown in fig. 5 may detect both the temperature and the humidity in the refrigerator. In practical applications, a temperature sensor and a humidity sensor may also 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. In addition, the goods and materials placing area shown in fig. 5 is used for placing goods.
The core controller in fig. 5 is an execution subject of the related method, and for a specific application embodiment, the detailed description is given in the related embodiment, and will not be described in detail here.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, the meaning of "plurality" means at least two unless otherwise specified.
It will be understood that when an element is referred to as being "secured to" 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 also be present, and further, as used herein, connected may include wirelessly connected; the term "and/or" is used to include any and all combinations of one or more of the associated listed items.
Any process or method descriptions in flow charts or otherwise described herein may be understood as: represents modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes additional implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following technologies, which are well known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a computer-readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," 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 application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. 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 exemplary and should not be construed as limiting the present application and that changes, modifications, substitutions and alterations in the above embodiments may be made by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A method of controlling a refrigeration storage facility, the method comprising:
acquiring a cargo image in a refrigeration house;
carrying out image recognition on the cargo image to obtain cargo parameters matched with the cargo image;
determining air conditioner operating parameters based on the cargo parameters;
and controlling the air conditioner in the refrigeration house to operate according to the air conditioner operation parameters.
2. The method of claim 1, wherein the cargo parameter comprises at least one of: cargo type, cargo volume, cargo weight; and
through carrying out image recognition on the cargo image, acquiring cargo parameters matched with the cargo image, wherein the cargo parameters comprise:
performing image recognition on the cargo image to determine the cargo type; and/or
Carrying out image recognition on the cargo image, determining the cargo size, and calculating to obtain the cargo volume based on the cargo size; and/or
And calculating the cargo weight based on the cargo type and the cargo volume.
3. The method of claim 1, wherein the air conditioner operating parameters comprise at least one of: running frequency, starting interval duration and starting duration; and
determining air conditioner operating parameters based on the cargo parameters, including:
determining a first operating curve matched with 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.
4. The method of claim 3, wherein determining a first operating curve that matches the cargo parameter comprises:
determining a target refrigeration temperature matching the cargo parameter;
determining the first operating curve based on the cargo parameter, the target refrigeration temperature and the current ambient temperature of the cold store.
5. The method of claim 1, further comprising:
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 perform humidification treatment on the refrigeration house.
6. The method of claim 5, wherein the preset humidity conditions comprise:
the humidity information is not matched with corresponding humidity in a second operating curve; the second operation curve is a curve which is matched with the cargo parameter, and the abscissa of the curve is time and the ordinate of the curve is humidity.
7. The method according to claim 5, wherein if the humidity information meets a preset humidity condition, controlling a humidifier in the refrigeration storage to humidify the refrigeration storage comprises:
and if the humidity information meets the preset humidity condition and the humidifier is not started, controlling the humidifier to be started so as to humidify the refrigeration house.
8. A controller, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
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 1-7.
9. An air conditioner characterized by comprising the controller according to claim 8.
10. A freezer comprising the air conditioner, humidifier, humidity sensor, temperature sensor and camera device of claim 9; the controller in the air conditioner is respectively connected with the humidity sensor, the temperature sensor, the camera device and the humidifier;
the temperature sensor is used for acquiring the current environment temperature of the refrigeration house and sending the current environment temperature to the controller;
the humidity sensor is used for acquiring humidity information in the refrigeration house and sending the humidity information to the controller;
the camera device is used for collecting goods images in the refrigeration house and sending the goods images to the controller.
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