CN111381618A - Control method and device for cavity temperature of photovoltaic building, storage medium and processor - Google Patents

Control method and device for cavity temperature of photovoltaic building, storage medium and processor Download PDF

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Publication number
CN111381618A
CN111381618A CN201811648837.1A CN201811648837A CN111381618A CN 111381618 A CN111381618 A CN 111381618A CN 201811648837 A CN201811648837 A CN 201811648837A CN 111381618 A CN111381618 A CN 111381618A
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China
Prior art keywords
cavity
temperature
time point
historical data
data sets
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CN201811648837.1A
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CN111381618B (en
Inventor
秦文军
米树华
张文建
罗梅健
徐会军
许立新
史颖君
崔青汝
董玉宽
阎卫东
王天堃
张博
毛迅
宗龙
彭冬
姜午阳
汤洋
姜凯
李辰琦
李忠
刘文峰
王丹妮
卓卉
孙文
伊超
凌文
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China Energy Investment Corp Ltd
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China Energy Investment Corp Ltd
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Publication of CN111381618A publication Critical patent/CN111381618A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D23/00Control of temperature
    • G05D23/19Control of temperature characterised by the use of electric means
    • G05D23/20Control of temperature characterised by the use of electric means with sensing elements having variation of electric or magnetic properties with change of temperature
    • EFIXED CONSTRUCTIONS
    • E04BUILDING
    • E04BGENERAL BUILDING CONSTRUCTIONS; WALLS, e.g. PARTITIONS; ROOFS; FLOORS; CEILINGS; INSULATION OR OTHER PROTECTION OF BUILDINGS
    • E04B2/00Walls, e.g. partitions, for buildings; Wall construction with regard to insulation; Connections specially adapted to walls
    • E04B2/88Curtain walls
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S40/00Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
    • H02S40/40Thermal components
    • H02S40/42Cooling means
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00Integration of renewable energy sources in buildings
    • Y02B10/10Photovoltaic [PV]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Architecture (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Electromagnetism (AREA)
  • Civil Engineering (AREA)
  • Structural Engineering (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The application provides a method and a device for controlling the temperature of a cavity of a photovoltaic building, a storage medium and a processor. The photovoltaic building comprises a building wall body and a photovoltaic module located on the building wall body, a cavity is formed between the back face of the photovoltaic module and the building wall body, a plurality of closable openings are formed in the upper side and the lower side of the cavity respectively, and the control method comprises the following steps: acquiring a plurality of historical data sets, wherein each historical data set comprises past time points and corresponding weather, and each historical data set also comprises the temperature of a corresponding cavity and/or the closing number of openings at two sides of the corresponding cavity; the temperature of the cavity is controlled based on the plurality of data sets. The method is simple to operate, does not need other detection equipment, and consumes less energy. The control method ensures that the generating efficiency of the photovoltaic module is higher, and ensures the normal life and work of people in the photovoltaic building.

Description

Control method and device for cavity temperature of photovoltaic building, storage medium and processor
Technical Field
The application relates to the field of photovoltaics, in particular to a method and a device for controlling the temperature of a cavity of a photovoltaic building, a storage medium and a processor.
Background
At the in-process that photovoltaic building curtain used, photovoltaic module can produce the heat, and this heat can probably make the temperature of wall body rise, also can make the temperature rise of the cavity between wall body and the photovoltaic board, and when the temperature was higher, the shutter that needs open the cavity top or open the fan in order to accelerate the air flow rate in the cavity, and then cools down the wall body in the cavity, the back and the cavity of photovoltaic board, guarantees the normal work and the safety of photovoltaic building.
In the prior art, the temperature in the cavity of the cavity, the temperature of the wall and the temperature of the back of the photovoltaic panel need to be monitored in real time, and once the temperatures are greater than or less than corresponding threshold values, the control system controls the shutter to be opened or closed, or controls the fan to work or stop working. The method needs more equipment, has more complex control process and consumes more energy.
The above information disclosed in this background section is only for enhancement of understanding of the background of the technology described herein and, therefore, certain information may be included in the background that does not form the prior art that is already known in this country to a person of ordinary skill in the art.
Disclosure of Invention
The application mainly aims to provide a photovoltaic building cavity temperature control method, a photovoltaic building cavity temperature control device, a storage medium and a processor, so as to solve the problems that in the prior art, a control method needs more devices and/or a process is complex.
In order to achieve the above object, according to one aspect of the present application, there is provided a method for controlling the temperature of a cavity of a photovoltaic building, wherein the photovoltaic building comprises a building wall and a photovoltaic module located on the building wall, a cavity is located between the back surface of the photovoltaic module and the building wall, and the upper and lower sides of the cavity are respectively provided with a plurality of closable openings, the method comprising: acquiring a plurality of historical data sets, wherein each historical data set comprises past time points and corresponding weather, and each historical data set also comprises corresponding temperature of the cavity and/or corresponding closing number of openings on two sides of the cavity; controlling the temperature of the cavity in accordance with a plurality of the data sets.
Further, each of the historical data sets includes a corresponding temperature of the cavity, the cavity temperature includes a temperature of the back surface, a temperature of a surface of the wall body near the back surface, and/or a temperature within the cavity, and the controlling the temperature of the cavity according to the plurality of data sets further includes: acquiring the predicted temperature of each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data sets; and controlling the temperature of the cavity according to the predicted temperature of each time point in the preset time period.
Further, the controlling the temperature of the cavity according to the predicted temperature at each time point in the predetermined time period comprises: judging whether the predicted temperature of each time point in the preset time period is greater than a first temperature threshold value or not; and controlling at least one opening above the cavity and at least one opening below the cavity to be in an open state under the condition that the temperature is larger than the first temperature threshold value.
Further, the controlling the temperature of the cavity according to the predicted temperature at each time point in the predetermined time period comprises: judging whether the predicted temperature of each time point in the preset time period is greater than a second temperature threshold value or not; and under the condition that the temperature is higher than the second temperature threshold, starting a fan, wherein the started fan is communicated with the cavity, the fan is used for increasing the flow rate of air in the cavity, and the second temperature threshold is higher than the first temperature threshold.
Further, each of the historical data sets further includes a corresponding number of closed openings on both sides of the cavity, and the controlling the temperature of the cavity according to the plurality of data sets includes: controlling the state of the plurality of openings according to the current time point, the current weather and the plurality of historical data sets.
Further, each of the historical data sets includes an operating frequency of a fan, the fan is in communication with the cavity, and the fan being turned on is configured to increase a flow rate of air within the cavity, and controlling the temperature of the cavity according to the plurality of data sets further includes: and controlling the work of the fan according to the current time point, the current weather and the plurality of historical data sets.
According to another aspect of the present application, there is provided a control device for cavity temperature of a photovoltaic building, wherein the photovoltaic building comprises a building wall and a photovoltaic module located on the building wall, a cavity is provided between a back surface of the photovoltaic module and the building wall, a plurality of closable openings are respectively provided on upper and lower sides of the cavity, the control device comprises: the device comprises an acquisition unit, a storage unit and a control unit, wherein the acquisition unit is used for acquiring a plurality of historical data sets, each historical data set comprises past time points and corresponding weather, and each historical data set also comprises the corresponding temperature of the cavity and/or the corresponding closing number of the openings on two sides of the cavity; and the control unit is used for controlling the temperature of the cavity according to the data sets.
Further, each of the historical data sets includes a corresponding temperature of the cavity, the cavity temperature includes a temperature of the back surface, a temperature of a surface of the wall body near the back surface, and/or a temperature in the cavity, and the control unit further includes: the determining module is used for acquiring the predicted temperature of each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data sets; and the control module is used for controlling the temperature of the cavity according to the predicted temperature of each time point in the preset time period.
According to another aspect of the present application, there is provided a storage medium, wherein the storage medium includes a stored program, wherein the program executes any one of the control methods.
According to another aspect of the present application, there is provided a processor, wherein the processor is configured to run a program, and the program is configured to execute any one of the control methods when running.
By applying the technical scheme of the application, in the control method, the plurality of historical data sets are firstly acquired, and then the temperature of the cavity is controlled according to the historical data sets. In the control method, only historical data needs to be analyzed to adjust the temperature of the cavity, the method is simple to operate, other detection equipment is not needed, and energy consumption is low. The control method ensures that the generating efficiency of the photovoltaic module is higher, and ensures the normal life and work of people in the photovoltaic building.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 shows a schematic flow diagram of an embodiment of a flow of a method of controlling a temperature of a photovoltaic building cavity according to the present application; and
fig. 2 shows a schematic structural view of an embodiment of a device for controlling the temperature of a cavity of a photovoltaic building according to the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the prior art, the temperature in the cavity of the cavity, the temperature of the wall body and the temperature of the back of the photovoltaic panel need to be monitored in real time, and once the temperatures are greater than or less than corresponding threshold values, the control system controls the louver to be opened or closed, or controls the fan to work or stop working, so as to control the temperature of the cavity within a proper range. The method needs more equipment, has more complex control process and consumes more energy.
In order to solve at least one of the problems described above, according to an embodiment of the present application, a method for controlling a cavity temperature of a photovoltaic building, that is, a method for controlling a cavity temperature of a photovoltaic building is provided.
Fig. 1 is a flow chart of a method for controlling a temperature of a photovoltaic building cavity according to an embodiment of the present application. The photovoltaic building comprises a building wall body and a photovoltaic module positioned on the building wall body, a cavity is formed between the back surface of the photovoltaic module and the building wall body, and the upper side and the lower side of the cavity are respectively provided with a plurality of closable openings, as shown in fig. 1, the method comprises the following steps:
step S101, obtaining a plurality of historical data sets, wherein each historical data set comprises past time points and corresponding weather, and each historical data set also comprises the corresponding temperature of the cavity and/or the corresponding closing number of the openings at two sides of the cavity;
step S102, controlling the temperature of the cavity according to a plurality of data sets.
In the control method, a plurality of historical data sets are firstly acquired, and then the temperature of the cavity is controlled according to the historical data sets. In the control method, only historical data needs to be analyzed to adjust the temperature of the cavity, the method is simple to operate, other detection equipment is not needed, and energy consumption is low. The control method ensures that the generating efficiency of the photovoltaic module is higher, and ensures the normal life and work of people in the photovoltaic building.
In the case where no specific description is given, the above correspondence is to weather, cavity temperature, and/or the number of closed openings on both sides of the cavity at the same time.
Of course, the control method of the present application is not limited to the above implementation, and the control method may be any method for controlling the temperature of the cavity according to the historical data sets, and in another specific embodiment, the temperature of the cavity may be adjusted by a model, wherein the model is trained by a machine using a plurality of sets of data, and each set of data in the plurality of sets of data includes: each historical data set further includes the temperature of the corresponding cavity and/or the number of closed openings on both sides of the corresponding cavity at the past time point and the corresponding weather.
In a specific embodiment, each of the historical data sets includes a temperature of the corresponding cavity, the cavity temperature includes a temperature of a surface of the back surface, a temperature of a surface of the wall near the back surface, and/or a temperature in the cavity, and the controlling the temperature of the cavity according to the plurality of the data sets includes: acquiring the predicted temperature of each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data sets, wherein the predicted temperature can be a predicted curve; and controlling the temperature of the cavity according to the predicted temperature of each time point in the preset time period, namely, taking some measures to adjust the temperature of the cavity to be in a proper range according to the predicted temperature.
Of course, the predicted temperature at each time point in the predetermined time period may also be determined by a model, where the model is trained by a machine using a plurality of sets of data, where each of the plurality of sets of data includes: each of the historical data sets further includes a temperature of the corresponding cavity at a past time point, corresponding to weather. The predicted temperature at each time point in the predetermined time period can be obtained by inputting the current time point, the current weather and the time end point of the predetermined time period.
After obtaining the predicted temperature at each time point in the predetermined time period, the temperature of the cavity needs to be controlled according to the predicted temperature, and in a specific embodiment of the present application, the controlling the temperature of the cavity according to the predicted temperature at each time point in the predetermined time period includes: judging whether the predicted temperature of each time point in the preset time period is greater than a first temperature threshold value or not; and controlling at least one opening above the cavity and at least one opening below the cavity to be in an open state under the condition that the temperature is higher than the first temperature threshold.
When the temperature is higher, it may not be enough to cool only by opening the opening, and in another embodiment of the present application, the controlling the temperature of the cavity according to the predicted temperature at each time point in the predetermined time period further includes: judging whether the predicted temperature of each time point in the preset time period is greater than a second temperature threshold value or not; and under the condition that the temperature is higher than the second temperature threshold, starting a fan, wherein the started fan is communicated with the cavity and is used for increasing the flow rate of air in the cavity, and the second temperature threshold is higher than the first temperature threshold. The cooling speed can be controlled by adjusting the frequency of the fan.
Of course, the method for controlling the temperature of the cavity according to the data sets in the present application is not limited to obtaining the predicted temperature at each time point in a predetermined time period, in an embodiment of the present application, each of the historical data sets further includes the number of closed openings at two sides of the corresponding cavity, and the controlling the temperature of the cavity according to a plurality of the data sets includes: acquiring the predicted closing number of the openings on the two sides of the cavity at each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data sets; and controlling the state of each opening according to the predicted closing number of the openings at the two sides of the cavity at each time point in the preset time period so as to control the temperature of the cavity.
The predicted number of closures of the openings on both sides of the cavity at each time point within the predetermined time period may be determined by a model, wherein the model is trained by a machine using a plurality of sets of data, wherein each set of data of the plurality of sets of data includes: the past time point, the corresponding weather, and the corresponding number of closed openings on both sides of the cavity. Therefore, as long as the current time point, the corresponding weather, and the end point of the predetermined time are input, the predicted number of closed openings on both sides of the cavity at each time point in the predetermined time period from the current time point can be acquired, the state of each opening can be controlled according to the predicted number of closed openings, and the number of closed openings on both sides of the cavity is adjusted to the predicted number, thereby adjusting the temperature.
In another embodiment of the present application, the predicted temperature at each time point in a predetermined time period may not be obtained, in this embodiment, each historical data set includes an operating frequency of a fan, the fan is communicated with the cavity, the fan that is turned on is used to increase a flow rate of air in the cavity, and the controlling the temperature of the cavity according to the plurality of data sets further includes: acquiring the predicted frequency of the fan at each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data sets; and controlling the frequency of each fan according to the predicted frequency of each fan at each time point in the preset time period so as to control the temperature of the cavity.
The predicted frequency of the wind turbine at each time point in the predetermined time period may be determined by a model, wherein the model is trained by a machine using a plurality of sets of data, and each set of data in the plurality of sets of data includes: the past time point, the corresponding weather, and the corresponding number of closed openings on both sides of the cavity. Therefore, as long as the current time point, the corresponding weather, and the end point of the predetermined time are input, the predicted frequency of the fan at each time point in the predetermined time period from the current time point can be acquired, so that the state of each opening is controlled according to the predicted number of closed openings, and the number of closed openings on both sides of the cavity is adjusted to the predicted number, thereby adjusting the temperature.
In order to control the temperature of the cavity more efficiently, in another embodiment of the present application, each of the historical data sets includes the operating frequency of the fan and the number of the openings on both sides of the cavity that are closed, and the specific control process includes: acquiring the predicted closing number of the openings on the two sides of the cavity at each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data sets; controlling the state of each opening according to the predicted closing number of the openings at the two sides of the cavity at each time point in the preset time period so as to control the temperature of the cavity; acquiring the predicted frequency of the fan at each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data sets; and controlling the frequency of each fan according to the predicted frequency of each fan at each time point in the preset time period so as to control the temperature of the cavity.
The obtained predicted turn-off number and the predetermined fan frequency in the above method may be determined by a model, which is specifically described above and will not be described herein again.
In order to make the obtained prediction (e.g. predicted temperature) more accurate, in a specific embodiment of the present application, each of the data sets further includes a season corresponding to a past time point.
In another embodiment of the present application, the control method further includes: the work of the heat pump unit is controlled according to the plurality of data sets, the heat pump unit is used for recovering heat in the cavity so as to achieve energy conservation and emission reduction, specifically, the work of the heat pump unit can be controlled according to the obtained predicted temperature, parameters of the predicted working state of the heat pump unit can also be determined through the model, and the work of the heat pump unit is controlled according to the parameters of the predicted working state. The method can more reasonably recycle the heat and obtain the heat-taking optimal value under the condition of better generating efficiency.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
The embodiment of the present application further provides a device for controlling the cavity temperature of the photovoltaic building, and it should be noted that the device for controlling the cavity temperature of the photovoltaic building according to the embodiment of the present application may be used to execute the method for controlling the cavity temperature of the photovoltaic building according to the embodiment of the present application. The control device of cavity temperature of photovoltaic building that this application embodiment provided is introduced below.
Fig. 2 is a schematic diagram of a device for controlling the cavity temperature of a photovoltaic building according to an embodiment of the present application. As shown in fig. 2, the apparatus includes:
an obtaining unit 10, configured to obtain a plurality of historical data sets, where each historical data set includes a past time point and a corresponding weather, and each historical data set further includes a corresponding temperature of the cavity and/or a corresponding number of closed openings on two sides of the cavity;
a control unit 20 for controlling the temperature of said cavity based on a plurality of said data sets.
In the control device, the acquisition unit firstly acquires a plurality of historical data sets, and then the control unit controls the temperature of the cavity according to the historical data sets. In the control device, only historical data needs to be analyzed to adjust the temperature of the cavity, the device is simple, other detection equipment is not needed, and energy consumption is low.
In the case where no specific description is given, the above correspondence is to weather, cavity temperature, and/or the number of closed openings on both sides of the cavity at the same time.
Of course, the control device of the present application is not limited to the control device having the above-mentioned implementation process, and the control device may be any device that controls the temperature of the cavity according to the historical data set, and in another specific embodiment, the control device may include a model control unit that adjusts the temperature of the cavity through a model, wherein the model is trained through a machine by using a plurality of sets of data, and each set of data in the plurality of sets of data includes: each historical data set further includes the temperature of the corresponding cavity and/or the number of closed openings on both sides of the corresponding cavity at the past time point and the corresponding weather.
In a specific embodiment, each of the historical data sets includes a temperature of the corresponding cavity, the cavity temperature includes a temperature of the back surface, a temperature of a surface of the wall body near the back surface, and/or a temperature in the cavity, and the control unit includes: the first determining module is used for acquiring the predicted temperature of each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data sets; the first control module is used for controlling the temperature of the cavity according to the predicted temperature of each time point in the preset time period, namely, taking some measures to adjust the temperature of the cavity within a proper range according to the predicted temperature.
Of course, the first determining module may determine the predicted temperature at each time point in the predetermined time period through a model, where the model is trained by a machine using multiple sets of data, where each set of data in the multiple sets of data includes: each of the historical data sets further includes a temperature of the corresponding cavity at a past time point, corresponding to weather. The predicted temperature at each time point in the predetermined time period can be obtained by inputting the current time point, the current weather and the time end point of the predetermined time period.
After the predicted temperature at each time point in the predetermined time period is obtained, the temperature of the cavity needs to be controlled according to the predicted temperature, in a specific embodiment of the present application, the first control module includes a first determining submodule and an opening control submodule, and the determining submodule is used for determining whether the predicted temperature at each time point in the predetermined time period is greater than a first temperature threshold; the opening control sub-module controls at least one of the openings above the cavity and at least one of the openings below the cavity to be in an open state if the temperature is greater than the first temperature threshold.
When the temperature is high, it may not be enough to cool only by opening the opening, and in another embodiment of the present application, the first control sub-module further includes: the second judgment submodule is used for judging whether the predicted temperature of each time point in the preset time period is greater than a second temperature threshold value; the fan control submodule is used for starting a fan under the condition that the temperature of the fan is larger than the second temperature threshold, the started fan is communicated with the cavity and used for increasing the flow rate of air in the cavity, and the second temperature threshold is larger than the first temperature threshold. The cooling speed can be controlled by adjusting the frequency of the fan.
Of course, the device for controlling the temperature of the cavity according to the data set is not limited to first obtaining the predicted temperature at each time point in a predetermined time period, in an embodiment of the present application, each of the historical data sets further includes the number of closed openings at two sides of the corresponding cavity, and the control unit includes a second obtaining sub-module and a second control module: the second obtaining submodule is used for obtaining the predicted closing number of the openings on the two sides of the cavity at each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data sets; the second control module is used for controlling the state of each opening according to the predicted closing number of the openings on the two sides of the cavity at each time point in the preset time period so as to control the temperature of the cavity.
The second obtaining submodule may determine, through a model, a predicted number of closed openings on both sides of the cavity at each time point in the predetermined time period, where the model is trained by a machine using a plurality of sets of data, where each set of data in the plurality of sets of data includes: the past time point, the corresponding weather, and the corresponding number of closed openings on both sides of the cavity. Therefore, as long as the current time point, the corresponding weather, and the end point of the predetermined time are input, the predicted number of closed openings on both sides of the cavity at each time point in the predetermined time period from the current time point can be acquired, the state of each opening can be controlled according to the predicted number of closed openings, and the number of closed openings on both sides of the cavity is adjusted to the predicted number, thereby adjusting the temperature.
In another embodiment of the present application, the predicted temperature at each time point in a predetermined time period may not be obtained, in this embodiment, each historical data set includes an operating frequency of a fan, the fan is communicated with the cavity, and the fan that is turned on is used to increase a flow rate of air in the cavity, and the control unit includes: a third acquisition submodule and a third control module: the third obtaining submodule is used for obtaining the predicted frequency of the fan at each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data groups; and the third control module is used for controlling the frequency of each fan according to the predicted frequency of each fan at each time point in the preset time period so as to control the temperature of the cavity.
The third obtaining sub-module may determine, through a model, a predicted frequency of the fan at each time point in a predetermined time period, where the model is trained by a machine using a plurality of sets of data, where each set of data in the plurality of sets of data includes: the past time point, the corresponding weather, and the corresponding number of closed openings on both sides of the cavity. Therefore, as long as the current time point, the corresponding weather, and the end point of the predetermined time are input, the predicted frequency of the fan at each time point in the predetermined time period from the current time point can be acquired, so that the state of each opening is controlled according to the predicted number of closed openings, and the number of closed openings on both sides of the cavity is adjusted to the predicted number, thereby adjusting the temperature.
In order to control the temperature of the cavity more efficiently, in another embodiment of the present application, each historical data set includes the operating frequency of the fan and the number of the openings on both sides of the cavity that are closed, and the specific control unit includes the second obtaining sub-module, the third obtaining sub-module, the second control module, and the third control module at the same time.
The second obtaining submodule and the third obtaining submodule in the apparatus may obtain the predicted turn-off number and the predetermined fan frequency through a model, which is specifically described above and is not described herein again.
In order to make the obtained prediction (e.g. predicted temperature) more accurate, in a specific embodiment of the present application, each of the data sets further includes a season corresponding to a past time point.
The device for controlling the cavity temperature of the photovoltaic building comprises a processor and a memory, wherein the acquisition unit, the control unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. One or more than one inner core can be arranged, and the temperature of the cavity is controlled within a reasonable range by adjusting the parameters of the inner core so as to meet the requirements of power generation and life.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The embodiment of the invention provides a storage medium, wherein a program is stored on the storage medium, and the program is used for realizing the control method of the cavity temperature of the photovoltaic building when being executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the program is used for executing the control method of the cavity temperature of the photovoltaic building when running.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: acquiring a plurality of historical data sets, wherein each historical data set comprises past time points and corresponding weather, and each historical data set also comprises the corresponding temperature of the cavity and/or the corresponding closing number of the openings at two sides of the cavity; controlling the temperature of said cavity based on a plurality of said data sets.
Step S101, obtaining a plurality of historical data sets, wherein each historical data set comprises past time points and corresponding weather, and each historical data set also comprises the corresponding temperature of the cavity and/or the corresponding closing number of the openings at two sides of the cavity;
step S102, controlling the temperature of the cavity according to a plurality of data sets.
The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
step S101, obtaining a plurality of historical data sets, wherein each historical data set comprises past time points and corresponding weather, and each historical data set also comprises the corresponding temperature of the cavity and/or the corresponding closing number of the openings at two sides of the cavity;
step S102, controlling the temperature of the cavity according to a plurality of data sets.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
From the above description, it can be seen that the above-described embodiments of the present application achieve the following technical effects:
1) according to the control method, the plurality of historical data sets are obtained firstly, and then the temperature of the cavity is controlled according to the historical data sets. In the control method, only historical data needs to be analyzed to adjust the temperature of the cavity, the method is simple to operate, other detection equipment is not needed, and energy consumption is low. The control method ensures that the generating efficiency of the photovoltaic module is higher, and ensures the normal life and work of people in the photovoltaic building
2) In the control device, the acquisition unit firstly acquires a plurality of historical data sets, and then the control unit controls the temperature of the cavity according to the historical data sets. In the control device, only historical data needs to be analyzed to adjust the temperature of the cavity, the device is simple, other detection equipment is not needed, and energy consumption is low.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (10)

1. A control method for the cavity temperature of a photovoltaic building is characterized in that the photovoltaic building comprises a building wall body and a photovoltaic module positioned on the building wall body, a cavity is formed between the back face of the photovoltaic module and the building wall body, and the upper side and the lower side of the cavity are respectively provided with a plurality of closable openings, and the control method comprises the following steps:
acquiring a plurality of historical data sets, wherein each historical data set comprises past time points and corresponding weather, and each historical data set also comprises corresponding temperature of the cavity and/or corresponding closing number of openings on two sides of the cavity;
controlling the temperature of the cavity in accordance with a plurality of the data sets.
2. The method of claim 1, wherein each of the historical data sets includes a corresponding temperature of the cavity, the cavity temperature including a temperature of the back surface, a temperature of a surface of the wall proximate the back surface, and/or a temperature within the cavity, the controlling the temperature of the cavity based on the plurality of data sets including:
acquiring the predicted temperature of each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data sets;
and controlling the temperature of the cavity according to the predicted temperature of each time point in the preset time period.
3. The control method according to claim 2, wherein the controlling the temperature of the cavity according to the predicted temperature at each time point within the predetermined period of time comprises:
judging whether the predicted temperature of each time point in the preset time period is greater than a first temperature threshold value or not;
and controlling at least one opening above the cavity and at least one opening below the cavity to be in an open state under the condition that the temperature is larger than the first temperature threshold value.
4. The control method of claim 3, wherein said controlling the temperature of the cavity based on the predicted temperature at each time point within the predetermined time period further comprises:
judging whether the predicted temperature of each time point in the preset time period is greater than a second temperature threshold value or not;
and under the condition that the temperature is higher than the second temperature threshold, starting a fan, wherein the started fan is communicated with the cavity, the fan is used for increasing the flow rate of air in the cavity, and the second temperature threshold is higher than the first temperature threshold.
5. The method of claim 1, wherein each of said historical data sets further comprises a corresponding number of closed openings on either side of said cavity, and wherein said controlling the temperature of said cavity based on a plurality of said data sets comprises:
acquiring the predicted closing number of the openings on the two sides of the cavity at each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data sets;
and controlling the state of each opening according to the predicted closing number of the openings at the two sides of the cavity at each time point in the preset time period so as to control the temperature of the cavity.
6. The method of claim 5, wherein each of said historical data sets includes an operating frequency of a fan in communication with said cavity and turned on to increase a flow rate of air within said cavity, and wherein controlling a temperature of said cavity based on a plurality of said data sets further comprises:
acquiring the predicted frequency of the fan at each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data sets;
and controlling the frequency of each fan according to the predicted frequency of each fan at each time point in the preset time period so as to control the temperature of the cavity.
7. The utility model provides a cavity temperature's of photovoltaic building controlling means, its characterized in that, photovoltaic building includes building wall and is located photovoltaic module on the building wall, photovoltaic module's the back with have the cavity between the building wall, the upper and lower both sides of cavity have a plurality of openings that can close respectively, controlling means includes:
the device comprises an acquisition unit, a storage unit and a control unit, wherein the acquisition unit is used for acquiring a plurality of historical data sets, each historical data set comprises past time points and corresponding weather, and each historical data set also comprises the corresponding temperature of the cavity and/or the corresponding closing number of the openings on two sides of the cavity;
and the control unit is used for controlling the temperature of the cavity according to the data sets.
8. The control device of claim 7, wherein each of the historical data sets includes a corresponding temperature of the cavity, the cavity temperature including a temperature of the back surface, a temperature of a surface of the wall proximate the back surface, and/or a temperature within the cavity, the control unit further comprising:
the determining module is used for acquiring the predicted temperature of each time point in a preset time period from the current time point according to the current time point, the current weather and the plurality of historical data sets;
and the control module is used for controlling the temperature of the cavity according to the predicted temperature of each time point in the preset time period.
9. A storage medium characterized by comprising a stored program, wherein the program executes the control method of any one of claims 1 to 6.
10. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to execute the control method according to any one of claims 1 to 6 when running.
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