CN115061517B - Photovoltaic heat collection unit control system based on man-machine interaction - Google Patents
Photovoltaic heat collection unit control system based on man-machine interaction Download PDFInfo
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
- G05D23/20—Control of temperature characterised by the use of electric means with sensing elements having variation of electric or magnetic properties with change of temperature
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S40/00—Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S40/00—Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
- H02S40/40—Thermal components
- H02S40/44—Means to utilise heat energy, e.g. hybrid systems producing warm water and electricity at the same time
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Abstract
A photovoltaic heat collection unit control system based on man-machine interaction. The invention proposes a photovoltaic heat collection unit control system for a modular building, comprising: the host control unit is used for generating an adjustment control instruction of equipment to be driven in each photovoltaic heat collection unit according to the acquired human body physiological representation data in a plurality of first acquisition periods, cold and hot complaints of users on indoor environment temperature and temperature data in the photovoltaic heat collection unit cavity; the photovoltaic heat collection units are arranged in the modularized building, each photovoltaic heat collection unit comprises a slave control subunit and a photovoltaic heat collector, the first temperature acquisition module is used for acquiring the internal temperature of the cavity of the photovoltaic heat collector in the current second acquisition period, the second main control module receives a control instruction of the host control unit, and the slave control module and the driving module drive equipment to be driven in the photovoltaic heat collector to adjust, so that the control efficiency and reliability of the photovoltaic heat collector are effectively improved.
Description
Technical Field
The invention relates to the technical field of buildings, in particular to a photovoltaic heat collection unit control system based on man-machine interaction.
Background
The current situation of reducing building energy consumption based on a dual-carbon target is that a single power generation function of a distributed photovoltaic panel for a building cannot meet the current requirements.
The existing photovoltaic heat collector (solar heat collector) cannot intelligently control the power generation efficiency according to the temperature of the photovoltaic heat collector, and cannot establish a cooperative interaction relation with the indoor temperature requirement of a user, and cannot be correspondingly adjusted according to human physiological characterization data and man-machine interaction data, so that the control efficiency and reliability of the photovoltaic heat collector are not improved.
Disclosure of Invention
In order to solve the problems in the prior art, the invention innovatively provides a photovoltaic heat collection unit control system based on man-machine interaction, which effectively solves the problem of low control efficiency and reliability of a photovoltaic heat collector caused by the prior art, and effectively improves the control efficiency and reliability of the photovoltaic heat collector.
The first aspect of the invention provides a photovoltaic heat collection unit control system based on man-machine interaction, which is applied to a modularized building and comprises the following components:
the system comprises a host control unit, a first control unit and a second control unit, wherein the host control unit comprises a first main control module, a human physiological representation data acquisition module and a human-computer cold-hot interaction module, the first main control module is used for acquiring human physiological representation data acquired by the human physiological representation data acquisition module in a plurality of first acquisition periods, cold-hot complaints of users on indoor environment temperature acquired by the human-computer cold-hot interaction module and photovoltaic heat collector cavity internal temperature data transmitted by a second main control module in each photovoltaic heat collector unit, and generating an adjustment control instruction of equipment to be driven in each photovoltaic heat collector unit according to the acquired human physiological representation data in the plurality of first acquisition periods, the cold-hot complaints of users on indoor environment temperature and the photovoltaic heat collector cavity internal temperature data in each photovoltaic heat collector unit;
the photovoltaic heat collection units are arranged in the modularized building, each photovoltaic heat collection unit comprises a slave control subunit and a photovoltaic heat collector, each slave control subunit comprises a slave control module, a second main control module, a first temperature acquisition module and a driving module, each photovoltaic heat collector comprises equipment to be driven, and each first temperature acquisition module is used for acquiring the internal temperature of a cavity of the photovoltaic heat collector in a current second acquisition period and sending temperature data acquired in the current second acquisition period to the second main control module; the second main control module is used for communicating with the host control unit according to the acquired temperature data and receiving a control instruction of the host control unit, and the slave control module and the driving module drive the equipment to be driven to adjust.
Optionally, the human body physiological characterization data acquisition module comprises a human body skin temperature acquisition module, and the acquired data output ends of the human body skin temperature acquisition module are all in communication connection with the data input end of the first main control module.
Optionally, the equipment to be driven comprises a first air valve, an indoor air conditioner and a fan, wherein the first air valve is used for opening or closing the photovoltaic heat collector and an indoor ventilation pipeline, and when the photovoltaic heat collector and the indoor ventilation pipeline are opened, convection circulation of air in the photovoltaic heat collector and indoor air is realized; the indoor air conditioner is used for adjusting the indoor temperature; the fan is arranged at the photovoltaic heat collector and the air outlet of the indoor channel and is used for carrying out convection circulation on indoor air entering the photovoltaic heat collector through the first air valve and the indoor air channel air according to a set rotating speed gear.
Further, the driving module comprises a first driving sub-module and a second driving sub-module, and the first driving sub-module is used for driving the first air valve or the indoor air conditioner to be opened or closed under the control of the second main control module; the second driving sub-module is used for driving the fan to rotate according to a preset gear under the control of the second main control module.
Further, according to the obtained human physiological characterization data in the plurality of first acquisition periods, the complaint of the user on the indoor environment temperature and the temperature data in the photovoltaic heat collector cavity in each photovoltaic heat collection unit, the adjustment control instruction of the equipment to be driven in each photovoltaic heat collection unit is specifically generated by:
machine learning is conducted on the obtained human body physiological representation data in the previous first acquisition period and the cold and hot complaint condition of the indoor environment temperature by a user, and a correlation model between the human body cold and hot complaint data and the human body physiological representation data is established and used for determining the comfort domain range of the human body physiological representation data in the current first acquisition period;
acquiring human body physiological characterization data acquired in a current first acquisition period, judging whether the temperature data in the photovoltaic collector cavity in the photovoltaic collector unit in a current second acquisition period is greater than a first preset temperature threshold value or not if the human body physiological characterization data acquired in the current first acquisition period does not meet the determined human body physiological characterization data comfort domain range in the current first acquisition period, and generating a first adjustment control instruction of equipment to be driven in each photovoltaic collector unit if the temperature data in the photovoltaic collector cavity in the current second acquisition period is greater than the first preset temperature threshold value, wherein the first adjustment control instruction is used for driving a first air valve to be opened through a driving module, and a fan starts to operate and is used for feeding air heated in the photovoltaic collector into a room after passing through the first air valve; if the temperature of the indoor air conditioner is lower than the preset temperature, generating a second adjustment control instruction of equipment to be driven in each photovoltaic heat collection unit, wherein the second adjustment control instruction is used for driving the first air valve to be closed through the driving module, and the indoor air conditioner starts to operate and is used for improving the indoor temperature; wherein the time length of the first acquisition period is longer than the time length of the second acquisition period.
Further, machine learning is performed on the obtained human body physiological characterization data in the previous first acquisition period and the cold and hot complaint condition of the indoor environment temperature by the user, and a correlation model between the human body cold and hot complaint data and the human body physiological characterization data is established, so that the comfort domain range of the human body physiological characterization data in the current first acquisition period is determined, and the method specifically comprises the following steps:
firstly, an initial human body physiological representation data comfort domain range is given, an initial human body skin temperature comfort domain range initial value is adjusted, the lower limit value of the comfort domain range is adjusted and optimized according to human body physiological representation data under the condition of cold complaints of a human-computer cold-hot interaction module in a previous first acquisition period, the upper limit value of the comfort domain range is adjusted and optimized according to human body physiological representation data under the condition of hot complaints of the human-computer interaction panel in the previous first acquisition period, and a final human body physiological representation data comfort domain range is determined.
Further, the human body physiological representation data comfort domain range of the next first acquisition period supports updating and optimizing of cold and hot complaints of indoor environment temperature according to human body physiological representation data acquired by the human body physiological representation data acquisition module of the current first acquisition period and a user acquired by the man-machine cold and hot interaction module.
Optionally, if the human body physiological characterization data in the current first acquisition period meets the determined human body physiological characterization data comfort domain range in the current first acquisition period, no adjustment is required to the device to be driven inside the photovoltaic heat collector.
Optionally, the photovoltaic heat collector further comprises a photovoltaic plate, a heat insulation plate and a metal shell; the heat-insulating plate is arranged on the metal shell, the photovoltaic plate is arranged at the top of the photovoltaic heat collector, and a heat-collecting air channel is formed in a cavity formed by the photovoltaic plate, the heat-insulating plate and the metal shell; an air inlet is arranged on one side of the metal shell, an air outlet is arranged on the metal shell on the side opposite to the air inlet, and an air filtering layer is arranged on the air inlet.
Further, the photovoltaic heat collector also comprises heat absorption fins, wherein the heat absorption fins are uniformly arranged in a cavity formed by the photovoltaic plate and the heat insulation plate and used for increasing the contact area of air in the heat collection air channel and heat convection of the heat absorption fins.
The technical scheme adopted by the invention comprises the following technical effects:
1. the system comprises a host control unit and a plurality of photovoltaic heat collection units distributed in a modularized building, wherein a first main control module in the host control unit can acquire human body physiological representation data acquired by human body physiological representation data acquisition modules in a plurality of first acquisition periods, cold and hot complaints of users on the current indoor environment temperature acquired by human body cold and hot interaction modules, and the internal temperature data of a photovoltaic heat collector cavity transmitted by a second main control module in each photovoltaic heat collection unit, and according to the acquired human body physiological representation data acquired by the human body physiological representation data acquisition modules in the plurality of first acquisition periods, the cold and hot complaints of the users on the current indoor environment temperature acquired by the human body cold and hot interaction modules, and the internal temperature data of the photovoltaic heat collector cavity in each photovoltaic heat collection unit, an adjustment control instruction of equipment to be driven in each photovoltaic heat collection unit is generated, so that the problem that the efficiency and reliability of photovoltaic heat collector control are not high due to incapability of corresponding adjustment according to the indoor environment in the prior art is effectively improved.
2. According to the technical scheme, the equipment to be driven comprises a first air valve, an indoor air conditioner and a fan, and can generate adjustment control instructions corresponding to the first air valve, the second air valve and the fan in each photovoltaic heat collecting unit according to human body physiological characterization data acquired in a current first acquisition period, cold and hot complaints of a user on current indoor environment temperature and temperature data in a photovoltaic heat collecting unit cavity, so that air convection circulation in the photovoltaic heat collecting unit cavity and indoor is realized, and the problem that the power generation efficiency is affected by high temperature in the power generation process of a photovoltaic power generation plate in a conventional photovoltaic heat collector is solved; meanwhile, according to the change of temperature parameters in the cavity of the photovoltaic heat collector, the first air valve and the indoor air conditioner are controlled to be opened or closed, the fan is automatically started, and the like, so that the power consumption of the photovoltaic heat collector is reduced.
3. According to the technical scheme, machine learning is conducted on cold and hot complaint conditions of the current indoor environment temperature by a user aiming at human body physiological characterization data in a first acquisition period before acquisition, and a correlation model between the human body cold and hot complaint data and the human body physiological characterization data is established and used for determining a human body physiological characterization data comfort domain range of the current first acquisition period; if the human body physiological representation data acquired in the current first acquisition period does not meet the human body physiological representation data comfort domain range of the determined first acquisition period, a control and adjustment instruction of equipment to be driven in the photovoltaic heat collector is generated, so that the building is in a comfortable condition of adapting to the human body physiological representation data and the human body cold and hot complaint data in real time, and the user experience of the photovoltaic heat collector is improved.
4. According to the technical scheme, each photovoltaic heat collection unit corresponds to the modularized building unit with the corresponding area, and the plurality of modularized building units can be combined to supply power and heat by using the plurality of photovoltaic heat collection units.
5. According to the technical scheme, the human body physiological representation data comfort domain range of the next first acquisition period supports updating and optimizing of cold and hot complaints of indoor environment temperature according to human body physiological representation data acquired by the human body physiological representation data acquisition module of the current first acquisition period and a user acquired by the man-machine cold and hot interaction module, so that the control reliability of the photovoltaic heat collection unit is further improved, and the user experience of the photovoltaic heat collector is further improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed.
Drawings
For a clearer description of embodiments of the invention or of the solutions of the prior art, reference will be made to the accompanying drawings, which are used in the description of the embodiments or of the prior art, and it will be obvious to those skilled in the art that other drawings can be obtained from these without inventive labour.
FIG. 1 is a schematic diagram of a system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a communication structure of a host control unit according to an embodiment of the present invention;
FIG. 3 is a schematic view of a cavity of a photovoltaic collector according to an embodiment of the present invention;
FIG. 4 is a schematic view of a photovoltaic panel according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a communication structure of a photovoltaic collector according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of adjusting the room temperature according to the user's cold and hot feeling (i.e. human-machine interaction data, i.e. human cold and hot complaint data) according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a process for establishing a correlation model between human cold and hot complaint data and human physiological characterization data according to an embodiment of the present invention.
Detailed Description
In order to clearly illustrate the technical features of the present solution, the present invention will be described in detail below with reference to the following detailed description and the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different structures of the invention. In order to simplify the present disclosure, components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and processes are omitted so as to not unnecessarily obscure the present invention.
Example 1
As shown in fig. 1, the present invention provides a photovoltaic heat collection unit control system based on man-machine interaction, which is applied to a modular building, and comprises:
the host control unit 1, the host control unit 1 includes a first main control module 11, a human physiological characterization data acquisition module 12 and a human-computer cold-hot interaction module 13, where the first main control module 11 is configured to acquire human physiological characterization data acquired by the human physiological characterization data acquisition module 12 in a plurality of first acquisition periods, cold-hot complaints of a user about a current indoor environment temperature acquired by the human-computer cold-hot interaction module 13, and temperature data inside a cavity of the photovoltaic collector 22 sent by the second main control module 212 in each photovoltaic collector unit 2, and generate an adjustment control instruction of the device 220 to be driven in each photovoltaic collector unit 2 according to the acquired human physiological characterization data in the plurality of first acquisition periods, the cold-hot complaints of the user about the current indoor environment temperature, and the temperature data inside the cavity of the photovoltaic collector 22 in each photovoltaic collector unit 2;
the photovoltaic heat collection units 2 are arranged in the modularized building, each photovoltaic heat collection unit 2 comprises a slave control subunit 21 and a photovoltaic heat collector 22, each slave control subunit 21 comprises a slave control module 211, a second main control module 212, a first temperature acquisition module 213 and a driving module 214, each photovoltaic heat collector 22 comprises equipment 220 to be driven, and the first temperature acquisition module 213 is used for acquiring the internal temperature of a cavity of the photovoltaic heat collector 22 in a current second acquisition period and sending temperature data acquired in the current second acquisition period to the second main control module 212; the second main control module 212 is configured to communicate with the host control unit 1 according to the acquired temperature data, and receive a control instruction from the host control unit 1, and drive the device 220 to be driven to adjust through the slave control module 211 and the driving module 214.
The human body physiological representation data acquisition module 12 comprises a human body skin temperature acquisition module 121, and the acquired data output ends of the human body skin temperature acquisition module 121 are all in communication connection with the data input end of the first main control module 11.
The host control unit 1 further comprises a first TTL-485 communication module 14 and a first power supply module 15; the first master control module 11 comprises a master control chip MCU (Microcontroller Unit ) with the model number of cc 2530; the first TTL-485 communication module 14 is connected; the first power module 15 is respectively connected with the power supply ends of the first main control module 11, the human physiological characterization data acquisition module 12, the man-machine cold-hot interaction module 13 and the first TTL-485 communication module 14. The MCU with the model of cc2530 is a chip with an 8051 kernel and a zigbee (wireless communication technology applied to short distance and low speed) radio frequency communication function, can be used as an independent MCU, and can conveniently control and read data for some devices through a protocol stack; the first TTL-485 communication module 14 is used for realizing the conversion between 485 level and TTL level, is provided with a self-receiving circuit, and can stably realize the reading of the data of the 485 sensor; the first power module 15 adopts 24V input, outputs 12V voltage through an LM2596-ADJ switching power supply, then supplies power through a voltage stabilizing chip AMS1117-5.0 and a voltage stabilizing chip AMS1117-3.3, respectively and correspondingly outputs 5.0V voltage and 3.3V voltage, wherein the 5.0V voltage is used for supplying power to a first driving sub-module (relay), and the 3.3V voltage is used for supplying power to the first TTL-485 communication module 14 and the first main control module 11.
The data of complaints about the current indoor environment temperature by the user collected by the man-machine interaction module 13 refers to complaints about the current indoor environment temperature by the user collected through the indoor man-machine interaction panel, for example: the human body feels that the current indoor environment temperature is overheated, and a hot complaint key which needs to be cooled can be pressed down on the human-computer interaction panel; the human body feels that the current indoor environment temperature is supercooled, and a cold complaint key which needs to be heated can be pressed down on the human-computer interaction panel; the human physiological characterization data collected by the human physiological characterization data collection module 12 may refer to human physiological characterization data collected by an indoor user through wearing a smart bracelet, including human skin temperature, heart rate, blood pressure, etc.
Further, the host control unit 1 may be further connected to the host computer 3 in a communication manner, so as to send the human body physiological characterization data in the host control unit 1, the cold and hot complaints of the user on the current indoor environment temperature, the temperature data in the photovoltaic heat collecting unit 2, the comfort domain range of the human body physiological characterization data, and the like to the host computer 3, and the host computer 3 may be connected to the host control unit 1 in a remote communication manner, so as to facilitate remote control of the photovoltaic heat collector, or may be connected in a communication manner in other manners, which is not limited herein.
As shown in fig. 3-5, the to-be-driven device 220 includes a first air valve 2201, a second air valve 2202, an indoor air conditioner 2204, and a fan 2203, where the first air valve 2201 is used to open or close ventilation ducts of the photovoltaic heat collector 22 and the indoor air, and when the ventilation ducts of the photovoltaic heat collector 22 and the indoor air are opened, convection circulation of air in the photovoltaic heat collector 22 and indoor air is achieved; the second air valve 2202 is used for opening or closing the ventilation pipeline of the photovoltaic heat collector 22 and the hood, and when the ventilation pipeline of the photovoltaic heat collector 22 and the hood is closed, the air in the photovoltaic heat collector 22 and the outdoor air do not perform convection circulation; the fan 2203 is arranged at the photovoltaic heat collector 22 and the air outlet of the indoor channel, and is used for carrying out convection circulation on indoor air entering the photovoltaic heat collector 22 through the first air valve 2201 and the indoor air channel air according to a set rotating speed gear; the indoor air conditioner 2204 is configured to adjust an indoor temperature (raise an indoor temperature) when it is turned on.
Correspondingly, the driving module 214 includes a first driving sub-module 2141 and a second driving sub-module 2142, where the first driving sub-module 2141 is a relay control module, and is used to drive the first air valve 2201, the second air valve 2202, and the indoor air conditioner 2204 to be opened or closed under the control of the second main control module 212; the second driving sub-module 2142 is an L298N driving module, and is configured to drive the fan 2203 to rotate according to a preset gear under the control of the second main control module 212. The L298N driving module is a high-power PWM motor driving chip, and the second main control module 212 amplifies power through the L298N driving chip by inputting PWM (Pulse width modulation ) signals, thereby realizing control of the rotating speed of the fan 2203.
The photovoltaic heat collecting unit 2 comprises a photovoltaic heat collector 22 and a secondary machine control subunit 21, wherein the secondary machine control subunit 21 comprises a secondary machine control module 211, a second main control module 212, a first temperature acquisition module 213 and a driving module 214, and the secondary machine control subunit 21 further comprises a second TTL-485 communication module 216, a second power supply module 217 and a pipeline wind speed sensor 218; the photovoltaic collector 22 includes a device to be driven 220; the second master control module 212 comprises a master control chip with the model number cc 2530; the second TTL-485 communication module 216 is connected with the pipeline wind speed sensor 218; the first temperature acquisition module 213 may be a temperature sensor, for acquiring temperature data inside the cavity of the photovoltaic collector; the second power module 217 adopts 24V input, outputs 12V voltage through the LM2596-ADJ switching power supply, then supplies power through the voltage stabilizing chip AMS1117-5.0 and the voltage stabilizing chip AMS1117-3.3, respectively outputs 5.0V voltage and 3.3V voltage correspondingly, wherein the 5.0V voltage is used for supplying power to the relay, and the 3.3V voltage is used for supplying power to the second TTL-485 communication module 216 and the second main control module 212.
Further, the photovoltaic collector 22 is an air-cooled internal circulation photovoltaic collector. The photovoltaic collector further comprises a photovoltaic panel 221, a heat insulation plate 222 and a metal shell 223; the heat insulation plate 222 is arranged on the metal shell 223, the photovoltaic plate 221 is arranged at the top of the photovoltaic heat collector, and a heat collection air channel (air flow channel) is formed in a cavity 226 formed by the photovoltaic plate 221, the heat insulation plate 222 and the metal shell 223; an air inlet 224 is installed on one side of the metal casing 223, an air outlet 225 is installed on the metal casing 223 on the side opposite to the air inlet 224, and air filtering layers (which may be filter screens) are arranged on the air inlet 224 and the air outlet 225.
Preferably, the photovoltaic panel 221 is a monocrystalline silicon photovoltaic panel (base backboard), the insulation board 222 is a phenolic foam insulation board (insulation frame), and the metal shell 223 is an aluminum alloy shell; the phenolic foam heat-insulating plate is arranged on the aluminum alloy shell, the monocrystalline silicon photovoltaic plate is arranged at the top of the air-cooled internal circulation photovoltaic heat collector, and a heat collection air channel is formed in a cavity formed by the monocrystalline silicon photovoltaic plate and the phenolic foam heat-insulating plate; the heat absorbing fins 227 are uniformly arranged in the cavity 226 formed by the photovoltaic panel 221 and the heat insulating panel 222, and the height of the heat absorbing fins 227 can be smaller than the height of the cavity (the heat collecting air duct or the air flow duct) so as to increase the contact area of the air in the heat collecting air duct and the heat absorbing fins for heat convection, thereby increasing the effective area for absorbing solar radiation energy; and the heat of the photovoltaic panel and the heat in the cavity can be collected to the greatest extent, and the heat is transferred to the air in the flow channel inside the cavity to the greatest extent when the air flows.
An air inlet 224 is arranged on one side of the aluminum alloy shell, and an air outlet 225 (tee joint), a first air valve 2201, a second air valve 2202 and a first temperature acquisition module 216 are arranged on the aluminum alloy shell on the side opposite to the air inlet 224 and are used for acquiring temperature data of the photovoltaic collector in a cavity formed by the monocrystalline silicon photovoltaic panel and the phenolic foam insulation board.
When the method is used for modularized construction, firstly, the size module and the number of the photovoltaic heat collectors in the photovoltaic heat collector units are determined according to electricity consumption requirements and mountable areas; and then the number of host control units is determined according to the principle of master-slave cooperation.
According to the obtained human physiological characterization data in a plurality of first acquisition periods, the complaint of the cold and hot of the indoor environment temperature by the user and the temperature data in the cavity of the photovoltaic heat collector in each photovoltaic heat collection unit, the adjustment control instruction for equipment to be driven in each photovoltaic heat collection unit is specifically generated by the following steps:
machine learning is conducted on the obtained human body physiological representation data in the previous first acquisition period and the cold and hot complaint condition of the indoor environment temperature by a user, and a correlation model between the human body cold and hot complaint data and the human body physiological representation data is established and used for determining the comfort domain range of the human body physiological representation data in the current first acquisition period;
acquiring human body physiological characterization data acquired in a current first acquisition period, judging whether the temperature data in the photovoltaic collector cavity in the photovoltaic collector unit in a current second acquisition period is greater than a first preset temperature threshold value or not if the human body physiological characterization data acquired in the current first acquisition period does not meet the determined human body physiological characterization data comfort domain range in the current first acquisition period, and generating a first adjustment control instruction of equipment to be driven in each photovoltaic collector unit if the temperature data in the photovoltaic collector cavity in the current second acquisition period is greater than the first preset temperature threshold value, wherein the first adjustment control instruction is used for driving a first air valve to be opened through a driving module, and a fan starts to operate and is used for feeding air heated in the photovoltaic collector into a room after passing through the first air valve; if the temperature of the indoor air conditioner is lower than the preset temperature, generating a second adjustment control instruction of equipment to be driven in each photovoltaic heat collection unit, wherein the second adjustment control instruction is used for driving the first air valve to be closed through the driving module, and the indoor air conditioner starts to operate and is used for improving the indoor temperature; wherein the time length of the first acquisition period is longer than the time length of the second acquisition period.
The first preset temperature threshold may be 18 ℃, or may be flexibly adjusted according to practical situations, which is not limited herein.
Machine learning is performed on the obtained human body physiological representation data in the previous first acquisition period and the cold and hot complaint condition of the indoor environment temperature by a user, and a correlation model between the human body cold and hot complaint data and the human body physiological representation data is established, wherein the method for determining the comfort domain range of the human body physiological representation data in the current first acquisition period specifically comprises the following steps:
firstly, an initial human body physiological representation data comfort domain range is given, an initial human body skin temperature comfort domain range initial value is adjusted, the lower limit value of the comfort domain range is adjusted and optimized according to human body physiological representation data under the condition of cold complaints of a human-computer cold-hot interaction module in a previous first acquisition period, the upper limit value of the comfort domain range is adjusted and optimized according to human body physiological representation data under the condition of hot complaints of the human-computer interaction panel in the previous first acquisition period, and a final human body physiological representation data comfort domain range is determined.
Further, the human body physiological representation data comfort domain range of the next first acquisition period supports updating and optimizing of cold and hot complaints of indoor environment temperature according to human body physiological representation data acquired by the human body physiological representation data acquisition module of the current first acquisition period and a user acquired by the man-machine cold and hot interaction module.
The first adjustment control instruction is used for driving the fan to start to operate through the driving module, and is used for sending air heated in the photovoltaic heat collector into the room after passing through the first air valve and specifically comprises the following steps:
the fan starts to run from the lowest rotating speed gear, and the rotating speed gear of the fan is gradually increased along with the rise of the temperature data in the photovoltaic heat collector cavity in the photovoltaic heat collector unit in the current second collecting period until the fan runs to the highest rotating speed gear. Specifically, when the temperature data in the photovoltaic heat collector cavity in the current photovoltaic heat collector unit rises by one degree, the rotation speed gear of the operation of the fan is increased by one gear, indoor air enters the photovoltaic heat collector and then takes away the air heated in the heat collector by the fan, and the air is sent into the room after passing through the first air valve in the room until the temperature data in the photovoltaic heat collector cavity in the photovoltaic heat collector unit in the current second acquisition period is equal to a first preset temperature threshold value. And the second adjusting control instruction is used for driving the first air valve to be closed through the driving module, stopping the operation of the fan, starting the operation of the indoor air conditioner, and improving the indoor temperature.
Further, if the human body physiological representation data in the current first acquisition period meets the determined human body physiological representation data comfort domain range in the current first acquisition period, the equipment to be driven in the photovoltaic heat collector does not need to be adjusted.
Preferably, the machine learning process for the acquired human body physiological representation data and the cold and hot complaint condition of the user on the indoor environment temperature in the previous first acquisition period can be performed in the first main control module, or can be performed in the upper computer, namely, the established association model is written in the main computer control unit, and the function of autonomous optimization of the association model is reserved, and the association model in the main computer control unit is connected with the intelligent bracelet and the data collected by the man-machine interaction panel, so that the association model in the main computer control unit can be continuously optimized, namely, the skin temperature comfort domain value of the user in the main computer control unit is continuously optimized, namely, the human body physiological representation data comfort domain range of the next first acquisition period supports updating and optimizing the cold and hot complaint condition of the indoor environment temperature according to the human body physiological representation data acquired by the human body physiological representation data acquisition module in the current first acquisition period and the user acquired by the man-machine cold and hot interaction module.
In the embodiment of the present invention, the skin temperature of the human body is taken as an example, and the present invention is not limited herein, and the present invention may be applied to human body physiological characterization data, and also may be applied to human heart rate or human respiratory rate. As shown in fig. 6 to 7, a user feels the temperature in a room, gives a cold and hot sensation through a human-computer interaction module, a control system (a first main control module or an upper computer) obtains cold and hot sensation and human physiological characterization data given by the human-computer interaction module, performs machine learning, establishes a correlation model between the human cold and hot complaint data and the human physiological characterization data, is used for determining a comfort domain range of the human physiological characterization data in a current first acquisition period, and judges and predicts the cold and hot sensation of the user according to the obtained human physiological characterization data in the current first acquisition period and the comfort domain range of the human physiological characterization data in the current first acquisition period, so as to send a corresponding adjustment control instruction to a second main control module (a controller) in a slave control unit, and control equipment to be driven to adjust, thereby changing the put-in temperature. The cold and hot feeling of the user can be compared with the comfortable domain range of the human body physiological representation data of the current first acquisition period according to the human body physiological representation data of the current first acquisition period, so that the cold feeling of the user can be judged by predicting and judging the cold feeling of the user, namely, the human body physiological representation data of the current first acquisition period is smaller than the lower limit value of the comfortable domain range of the human body physiological representation data of the current first acquisition period, the cold feeling of the user can be judged by judging the human body physiological representation data of the current first acquisition period is larger than the upper limit value of the comfortable domain range of the human body physiological representation data of the current first acquisition period, and the hot feeling of the user can be judged by judging the human body physiological representation data of the current first acquisition period.
The system comprises a host control unit and a plurality of photovoltaic heat collection units distributed in a modularized building, wherein a first main control module in the host control unit can acquire human body physiological representation data acquired by human body physiological representation data acquisition modules in a plurality of first acquisition periods, cold and hot complaints of users on the current indoor environment temperature acquired by human body cold and hot interaction modules, and the internal temperature data of a photovoltaic heat collector cavity transmitted by a second main control module in each photovoltaic heat collection unit, and according to the acquired human body physiological representation data acquired by the human body physiological representation data acquisition modules in the plurality of first acquisition periods, the cold and hot complaints of the users on the current indoor environment temperature acquired by the human body cold and hot interaction modules, and the internal temperature data of the photovoltaic heat collector cavity in each photovoltaic heat collection unit, an adjustment control instruction of equipment to be driven in each photovoltaic heat collection unit is generated, so that the problem that the efficiency and reliability of photovoltaic heat collector control are not high due to incapability of corresponding adjustment according to the indoor environment in the prior art is effectively improved.
According to the technical scheme, the equipment to be driven comprises a first air valve, an indoor air conditioner and a fan, and can generate adjustment control instructions corresponding to the first air valve, the second air valve and the fan in each photovoltaic heat collecting unit according to human body physiological characterization data acquired in a current first acquisition period, cold and hot complaints of a user on current indoor environment temperature and temperature data in a photovoltaic heat collecting unit cavity, so that air convection circulation in the photovoltaic heat collecting unit cavity and indoor is realized, and the problem that the power generation efficiency is affected by high temperature in the power generation process of a photovoltaic power generation plate in a conventional photovoltaic heat collector is solved; meanwhile, according to the change of temperature parameters in the cavity of the photovoltaic heat collector, the first air valve and the indoor air conditioner are controlled to be opened or closed, the fan is automatically started, and the like, so that the power consumption of the photovoltaic heat collector is reduced.
According to the technical scheme, machine learning is conducted on cold and hot complaint conditions of the current indoor environment temperature by a user aiming at human body physiological characterization data in a first acquisition period before acquisition, and a correlation model between the human body cold and hot complaint data and the human body physiological characterization data is established and used for determining a human body physiological characterization data comfort domain range of the current first acquisition period; if the human body physiological representation data acquired in the current first acquisition period does not meet the human body physiological representation data comfort domain range of the determined first acquisition period, a control and adjustment instruction of equipment to be driven in the photovoltaic heat collector is generated, so that the building is in a comfortable condition of adapting to the human body physiological representation data and the human body cold and hot complaint data in real time, and the user experience of the photovoltaic heat collector is improved.
According to the technical scheme, each photovoltaic heat collection unit corresponds to the modularized building unit with the corresponding area, and the plurality of modularized building units can be combined to supply power and heat by using the plurality of photovoltaic heat collection units.
According to the technical scheme, the human body physiological representation data comfort domain range of the next first acquisition period supports updating and optimizing of cold and hot complaints of indoor environment temperature according to human body physiological representation data acquired by the human body physiological representation data acquisition module of the current first acquisition period and a user acquired by the man-machine cold and hot interaction module, so that the control reliability of the photovoltaic heat collection unit is further improved, and the user experience of the photovoltaic heat collector is further improved.
While the foregoing description of the embodiments of the present invention has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the invention, but rather, it is intended to cover all modifications or variations within the scope of the invention as defined by the claims of the present invention.
Claims (8)
1. A photovoltaic heat collection unit control system based on man-machine interaction is characterized by being applied to a modularized building and comprising:
the system comprises a host control unit, a first control unit and a second control unit, wherein the host control unit comprises a first main control module, a human physiological representation data acquisition module and a human-computer cold-hot interaction module, the first main control module is used for acquiring human physiological representation data acquired by the human physiological representation data acquisition module in a plurality of first acquisition periods, cold-hot complaints of users on indoor environment temperature acquired by the human-computer cold-hot interaction module and photovoltaic heat collector cavity internal temperature data transmitted by a second main control module in each photovoltaic heat collector unit, and generating an adjustment control instruction of equipment to be driven in each photovoltaic heat collector unit according to the acquired human physiological representation data in the plurality of first acquisition periods, the cold-hot complaints of users on indoor environment temperature and the photovoltaic heat collector cavity internal temperature data in each photovoltaic heat collector unit;
the photovoltaic heat collection units are arranged in the modularized building, each photovoltaic heat collection unit comprises a slave control subunit and a photovoltaic heat collector, each slave control subunit comprises a slave control module, a second main control module, a first temperature acquisition module and a driving module, each photovoltaic heat collector comprises equipment to be driven, and each first temperature acquisition module is used for acquiring the internal temperature of a cavity of the photovoltaic heat collector in a current second acquisition period and sending temperature data acquired in the current second acquisition period to the second main control module; the second main control module is used for communicating with the host control unit according to the acquired temperature data and receiving a control instruction of the host control unit, and driving the equipment to be driven to adjust through the slave control module and the driving module; the device to be driven comprises a first air valve, an indoor air conditioner and a fan, wherein the first air valve is used for opening or closing a photovoltaic heat collector and an indoor ventilation pipeline, and when the photovoltaic heat collector and the indoor ventilation pipeline are opened, convection circulation of air in the photovoltaic heat collector and indoor air is realized; the indoor air conditioner is used for adjusting the indoor temperature; the fan is arranged at the photovoltaic heat collector and the air outlet of the indoor channel and is used for carrying out convection circulation on indoor air entering the photovoltaic heat collector through the first air valve and the indoor air channel air according to a set rotating speed gear;
according to the obtained human physiological characterization data in a plurality of first acquisition periods, the complaint of the cold and hot of the indoor environment temperature by the user and the temperature data in the cavity of the photovoltaic heat collector in each photovoltaic heat collection unit, the adjustment control instruction for equipment to be driven in each photovoltaic heat collection unit is specifically generated by the following steps:
machine learning is conducted on the obtained human body physiological representation data in the previous first acquisition period and the cold and hot complaint condition of the indoor environment temperature by a user, and a correlation model between the human body cold and hot complaint data and the human body physiological representation data is established and used for determining the comfort domain range of the human body physiological representation data in the current first acquisition period;
acquiring human body physiological characterization data acquired in a current first acquisition period, judging whether the temperature data in the photovoltaic collector cavity in the photovoltaic collector unit in a current second acquisition period is greater than a first preset temperature threshold value or not if the human body physiological characterization data acquired in the current first acquisition period does not meet the determined human body physiological characterization data comfort domain range in the current first acquisition period, and generating a first adjustment control instruction of equipment to be driven in each photovoltaic collector unit if the temperature data in the photovoltaic collector cavity in the current second acquisition period is greater than the first preset temperature threshold value, wherein the first adjustment control instruction is used for driving a first air valve to be opened through a driving module, and a fan starts to operate and is used for feeding air heated in the photovoltaic collector into a room after passing through the first air valve; if the temperature of the indoor air conditioner is lower than the preset temperature, generating a second adjustment control instruction of equipment to be driven in each photovoltaic heat collection unit, wherein the second adjustment control instruction is used for driving the first air valve to be closed through the driving module, and the indoor air conditioner starts to operate and is used for improving the indoor temperature; wherein the time length of the first acquisition period is longer than the time length of the second acquisition period.
2. The photovoltaic heat collection unit control system based on human-computer interaction according to claim 1, wherein the human body physiological representation data acquisition module comprises a human body skin temperature acquisition module, and acquisition data output ends of the human body skin temperature acquisition module are all in communication connection with the data input end of the first main control module.
3. The photovoltaic heat collection unit control system based on man-machine interaction according to claim 1, wherein the driving module comprises a first driving sub-module and a second driving sub-module, and the first driving sub-module is used for driving a first air valve or an indoor air conditioner to be opened or closed under the control of a second main control module; the second driving sub-module is used for driving the fan to rotate according to a preset gear under the control of the second main control module.
4. The photovoltaic heat collection unit control system based on man-machine interaction according to claim 1, wherein the machine learning is performed for the obtained human body physiological characterization data and the cold and hot complaint condition of the user on the indoor environment temperature in the previous first collection period, and the building of the correlation model between the human body cold and hot complaint data and the human body physiological characterization data is used for determining the comfort domain range of the human body physiological characterization data in the current first collection period specifically comprises:
firstly, an initial human body physiological representation data comfort domain range is given, an initial human body skin temperature comfort domain range initial value is adjusted, the lower limit value of the comfort domain range is adjusted and optimized according to human body physiological representation data under the condition of cold complaints of a human-computer cold-hot interaction module in a previous first acquisition period, the upper limit value of the comfort domain range is adjusted and optimized according to human body physiological representation data under the condition of hot complaints of the human-computer interaction panel in the previous first acquisition period, and a final human body physiological representation data comfort domain range is determined.
5. The photovoltaic heat collection unit control system based on man-machine interaction according to claim 4, wherein the human body physiological representation data comfort domain range of the next first acquisition period supports updating and optimizing of cold and hot complaints of indoor environment temperature according to human body physiological representation data acquired by the human body physiological representation data acquisition module of the current first acquisition period and a user acquired by the man-machine cold and hot interaction module.
6. The photovoltaic heat collection unit control system based on man-machine interaction according to claim 1, wherein if the human body physiological representation data in the current first acquisition period meets the determined human body physiological representation data comfort domain range in the current first acquisition period, no adjustment of equipment to be driven in the photovoltaic heat collector is needed.
7. The photovoltaic heat collection unit control system based on man-machine interaction according to claim 1, wherein the photovoltaic heat collector further comprises a photovoltaic panel, a heat insulation board and a metal shell; the heat-insulating plate is arranged on the metal shell, the photovoltaic plate is arranged at the top of the photovoltaic heat collector, and a heat-collecting air channel is formed in a cavity formed by the photovoltaic plate, the heat-insulating plate and the metal shell; an air inlet is arranged on one side of the metal shell, an air outlet is arranged on the metal shell on the side opposite to the air inlet, and an air filtering layer is arranged on the air inlet.
8. The photovoltaic heat collection unit control system based on man-machine interaction according to claim 7, wherein the photovoltaic heat collector further comprises heat absorption fins, the heat absorption fins are uniformly arranged in a cavity formed by the photovoltaic plate and the heat insulation plate, and the heat absorption fins are used for increasing the contact area of air in the heat collection air channel and heat convection of the heat absorption fins.
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