CN115061517A - Photovoltaic heat collection unit control system based on human-computer interaction - Google Patents
Photovoltaic heat collection unit control system based on human-computer interaction Download PDFInfo
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- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
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Abstract
Provided is a photovoltaic heat collection unit control system based on human-computer interaction. The invention provides a photovoltaic heat collection unit control system for a modular building, which comprises: the first main control module is used for generating an adjustment control instruction of equipment to be driven in each photovoltaic heat collecting unit according to the acquired human body physiological representation data in a plurality of first acquisition cycles, cold and hot complaining conditions of a user on the indoor environment temperature and temperature data in a cavity of a photovoltaic heat collector in each photovoltaic heat collecting unit; set up a plurality of photovoltaic thermal-arrest units in the modularization building, every photovoltaic thermal-arrest unit all includes from machine control subunit and photovoltaic heat collector, first temperature acquisition module is used for current second acquisition cycle to acquire the inside temperature of photovoltaic heat collector cavity, second main control module accepts host control unit's control command, adjusts through waiting to drive equipment in following machine control module, the drive module drive photovoltaic heat collector, has improved the efficiency and the reliability of photovoltaic heat collector control effectively.
Description
Technical Field
The invention relates to the technical field of buildings, in particular to a photovoltaic heat collection unit control system based on human-computer interaction.
Background
Based on the current situation of reducing the energy consumption of the building by a double-carbon target, the single power generation function of the distributed photovoltaic panel for the building cannot meet the current requirement.
The existing photovoltaic heat collector (solar heat collector) cannot control the power generation efficiency intelligently according to the temperature of the existing photovoltaic heat collector, cannot establish a cooperative interaction relation with the requirement of a user on the indoor temperature, cannot perform corresponding adjustment according to human physiological representation data and human-computer interaction data, and is not beneficial to improving the control efficiency and reliability of the photovoltaic heat collector.
Disclosure of Invention
The invention aims to solve the problems in the prior art, innovatively provides a photovoltaic heat collection unit control system based on human-computer interaction, effectively solves the problem that the control efficiency and reliability of a photovoltaic heat collector are not high in the prior art, and effectively improves the control efficiency and reliability of the photovoltaic heat collector.
The invention provides a photovoltaic heat collection unit control system based on human-computer interaction, which is applied to a modular building and comprises:
the system comprises a host control unit, a data acquisition module and a human-computer cold-hot interaction module, wherein the host control unit comprises a first main control module, a human physiological characterization data acquisition module and a human-computer cold-hot interaction module, the first main control module is used for acquiring human physiological characterization data acquired by the human physiological characterization data acquisition module in a plurality of first acquisition cycles, cold-hot complaints of a user on indoor environment temperature acquired by the human-computer cold-hot interaction module and internal temperature data of a cavity of the photovoltaic heat collector sent by a second main control module in each photovoltaic heat collecting unit, and an adjustment control instruction of equipment to be driven in each photovoltaic heat collecting unit is generated according to the acquired human physiological characterization data in the plurality of first acquisition cycles, the cold-hot complaints of the user on indoor environment temperature and the internal temperature data of the cavity of the photovoltaic heat collector in each photovoltaic heat collecting unit;
the photovoltaic heat collecting system comprises a plurality of photovoltaic heat collecting units arranged in a modular building, wherein each photovoltaic heat collecting unit comprises a slave machine control subunit and a photovoltaic heat collector, the slave machine control subunit comprises a slave machine control module, a second main control module, a first temperature collecting module and a driving module, the photovoltaic heat collector comprises equipment to be driven, and the first temperature collecting module is used for acquiring the internal temperature of a cavity of the photovoltaic heat collector in the current second collecting period and transmitting the temperature data acquired in the current second collecting period to the second main control module; the second master control module is used for communicating with the host control unit according to the acquired temperature data, receiving a control instruction of the host control unit, and driving the device to be driven to adjust through the slave control module and the driving module.
Optionally, the human body physiological characterization data acquisition module comprises a human body skin temperature acquisition module, and the acquired data output end of the human body skin temperature acquisition module is in communication connection with the data input end of the first main control module.
Optionally, the to-be-driven device 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, the convection circulation of air in the photovoltaic heat collector and indoor air is realized; the indoor air conditioner is used for adjusting indoor temperature; the fan is arranged at the air outlet of the photovoltaic heat collector and the air outlet of the indoor channel and used for performing convection circulation on indoor air entering the photovoltaic heat collector through the first air valve and the indoor air duct according to a set rotating speed gear.
Further, the driving module comprises a first driving submodule and a second driving submodule, and the first driving submodule 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; and the second driving submodule 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 first acquisition cycles, the cold and hot complaints of the user on the indoor environment temperature and the temperature data inside the cavity of the photovoltaic heat collector in each photovoltaic heat collecting unit, the adjustment control instruction for generating the device to be driven in each photovoltaic heat collecting unit is specifically as follows:
performing machine learning on the acquired human body physiological characterization data acquired in the previous first acquisition cycle and the cold and hot complaint condition of the user on the indoor environment temperature, and establishing a correlation model between the human body cold and hot complaint data and the human body physiological characterization data, wherein the correlation model is used for determining the human body physiological characterization data comfort domain range in the current first acquisition cycle;
acquiring human body physiological characterization data acquired in a current first acquisition cycle, if the human body physiological characterization data acquired in the current first acquisition cycle does not meet the determined human body physiological characterization data comfort domain range in the current first acquisition cycle, judging whether the temperature data in the cavity of the photovoltaic heat collector in the photovoltaic heat collection units in a current second acquisition cycle is larger than a first preset temperature threshold, and if so, generating a first adjustment control instruction of equipment to be driven in each photovoltaic heat collection unit, 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 sending air heated in the photovoltaic heat collector into a room after passing through the first air valve; if the current value is less than the preset value, generating a second adjustment control instruction of the equipment to be driven in each photovoltaic heat collecting 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 increasing the indoor temperature; and the duration of the first acquisition period is greater than the duration of the second acquisition period.
Further, performing machine learning on the acquired human body physiological characteristic data acquired in the previous first acquisition cycle and the cold and hot complaint condition of the user on the indoor environment temperature, and establishing a correlation model between the human body cold and hot complaint data and the human body physiological characteristic data, wherein the step of determining the comfort domain range of the human body physiological characteristic data in the current first acquisition cycle specifically includes:
firstly, an initial human body physiological characterization data comfort domain range is given, an initial human body skin temperature comfort domain range initial value is adjusted, a lower limit value of the comfort domain range is adjusted and optimized according to human body physiological characterization data under the cold complaint condition of a human-machine cold-hot interaction module in a previous first acquisition cycle, an upper limit value of the comfort domain range is adjusted and optimized according to human body physiological characterization data under the hot complaint condition of a human-machine interaction panel in the previous first acquisition cycle, and a final human body physiological characterization data comfort domain range is determined.
Furthermore, the human body physiological representation data comfort domain range of the next first acquisition cycle supports updating and optimizing of cold and hot complaining conditions of indoor environment temperature according to the human body physiological representation data acquired by the human body physiological representation data acquisition module of the current first acquisition cycle and the user acquired by the human-computer cold and hot interaction module.
Optionally, if the human body physiological characteristic data in the current first acquisition cycle meets the determined human body physiological characteristic data comfort domain range in the current first acquisition cycle, the device to be driven in the photovoltaic heat collector does not need to be adjusted.
Optionally, the photovoltaic heat collector further comprises a photovoltaic plate, a heat insulation plate and a metal shell; the heat insulation plate is arranged on the metal shell, the photovoltaic plate is arranged at the top of the photovoltaic heat collector, and a heat collection air channel is formed in a cavity formed by the photovoltaic plate, the heat insulation plate and the metal shell; an air inlet is installed on one side of the metal shell, an air outlet is installed on the metal shell on the side opposite to the air inlet, and an air filtering layer is arranged on the air inlet.
Furthermore, the photovoltaic heat collector further comprises heat absorption fins which are uniformly arranged inside a cavity formed by the photovoltaic plate and the heat insulation plate and used for increasing the contact area between air in the heat collection air channel and the heat absorption fins for heat convection.
The technical scheme adopted by the invention comprises the following technical effects:
1. the invention comprises a host control unit and a plurality of photovoltaic heat collecting units distributed in a modularized building, wherein a first main control module in the host control unit can acquire human physiological characterization data acquired by a human physiological characterization data acquisition module in a plurality of first acquisition cycles, cold and hot complaints of users on the current indoor environment temperature acquired by a human-computer cold and hot interaction module and the internal temperature data of a photovoltaic heat collector cavity sent by a second main control module in each photovoltaic heat collecting unit, and generates an adjustment control instruction of equipment to be driven in each photovoltaic heat collecting unit according to the acquired human physiological characterization data acquired by the human physiological characterization data acquisition module in the plurality of first acquisition cycles, cold and hot complaints of users on the current indoor environment temperature acquired by the human-computer cold and hot interaction module and the internal temperature data of the photovoltaic heat collector cavity in each photovoltaic heat collecting unit, the problem that in the prior art, the efficiency and the reliability of control of the photovoltaic heat collector are not high due to the fact that corresponding adjustment cannot be conducted according to the indoor environment is effectively solved, and the efficiency and the reliability of control of the photovoltaic heat collector are effectively improved.
2. According to the technical scheme, the to-be-driven device comprises a first air valve, an indoor air conditioner and a fan, and can generate adjusting control instructions corresponding to the first air valve, a second air valve and the fan in each photovoltaic heat collecting unit according to human body physiological representation data acquired in a current first acquisition cycle, cold and hot complaints of a user to the current indoor environment temperature and temperature data in a photovoltaic heat collecting cavity in each photovoltaic heat collecting unit, so that convection circulation of air in the photovoltaic heat collecting cavity and the room is realized, and the problem that the power generation efficiency is influenced by high temperature in the power generation process of a photovoltaic power generation panel in a conventional photovoltaic heat collecting unit is solved; meanwhile, according to the change of the temperature parameter 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. The technical scheme of the invention aims at obtaining human body physiological characterization data in a first acquisition cycle before, and cold and hot complaints of a user to the current indoor environment temperature to carry out machine learning, and establishes a correlation model between the human body cold and hot complaints data and the human body physiological characterization data, and the correlation model is used for determining a comfortable domain range of the human body physiological characterization data in the first acquisition cycle; if the human physiological characterization data acquired in the current first acquisition cycle does not meet the determined human physiological characterization data comfort domain range of the first acquisition cycle, a control adjustment instruction of equipment to be driven in the photovoltaic heat collector is generated, so that the indoor comfort condition of the building is in a real-time state, the human physiological characterization data and the human cold and hot complain data are adaptive, and the user experience of the photovoltaic heat collector is improved.
4. According to the technical scheme, each photovoltaic heat collecting unit corresponds to the modular building unit with the corresponding area, and the combination of a plurality of modular building units can supply power and heat by using a plurality of photovoltaic heat collecting units.
5. In the technical scheme of the invention, the comfortable domain range of the human body physiological characterization data of the next first acquisition cycle supports updating and optimization according to the human body physiological characterization data acquired by the human body physiological characterization data acquisition module of the current first acquisition cycle and cold and hot complaints of indoor environment temperature by users acquired by the human-computer 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
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without any creative effort.
FIG. 1 is a schematic diagram of a system according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a communication structure of a host control unit according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a cavity of a photovoltaic heat collector according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a photovoltaic panel according to an embodiment of the present invention;
FIG. 5 is a schematic view of a communication structure of a photovoltaic heat collector according to an embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating the adjustment of the room temperature according to the user's cool-heat sensation (man-machine interaction data, i.e. data of human body cool-heat complaints) in the embodiment of the present invention;
FIG. 7 is a schematic diagram of a process for establishing a correlation model between data of human body thermal and cold complaints and data of human body physiological characteristics according to an embodiment of the present invention.
Detailed Description
In order to clearly explain the technical features of the present invention, the present invention will be explained in detail by the following embodiments and the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the 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 limit the invention.
Example one
As shown in fig. 1, the present invention provides a photovoltaic heat collection unit control system based on human-computer interaction, which is applied to a modular building, and comprises:
the main machine control unit 1, the main machine control unit 1 includes a first main control module 11, a human body physiological characterization data acquisition module 12 and a human-machine cold-hot interaction module 13, the first main control module 11 is used for acquiring human body physiological characterization data acquired by the human body physiological characterization data acquisition module 12 in a plurality of first acquisition cycles, cold-hot complaints of users to the current indoor environment temperature acquired by the human-machine cold-hot interaction module 13 and temperature data in the cavity of the photovoltaic heat collector 22 sent by the second main control module 212 in each photovoltaic heat collecting unit 2, generating an adjustment control instruction of the device to be driven 220 in each photovoltaic heat collecting unit 2 according to the obtained human physiological representation data in a plurality of first acquisition periods, the complain condition of the user on the current indoor environment temperature and the temperature data inside the cavity of the photovoltaic heat collector 22 in each photovoltaic heat collecting unit 2;
the system comprises a plurality of photovoltaic heat collecting units 2 arranged in a modular building, wherein each photovoltaic heat collecting unit 2 comprises a slave control subunit 21 and a photovoltaic heat collector 22, the slave control subunit 21 comprises a slave control module 211, a second master control module 212, a first temperature collecting module 213 and a driving module 214, the photovoltaic heat collector 22 comprises equipment to be driven 220, and the first temperature collecting module 213 is used for acquiring the temperature in the cavity of the photovoltaic heat collector 22 in the current second collecting period and transmitting the temperature data acquired in the current second collecting period to the second master control module 212; the second master control module 212 is configured to communicate with the master control unit 1 according to the acquired temperature data, receive a control instruction of the master control unit 1, and drive the device to be driven 220 through the slave control module 211 and the driving module 214 to perform adjustment.
The human body physiological characterization data acquisition module 12 comprises a human body skin temperature acquisition module 121, and the acquired data output end of the human body skin temperature acquisition module 121 is 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 includes a master control chip MCU (Microcontroller Unit) of type cc 2530; a first TTL-485 communication module 14 is connected; the first power supply module 15 is respectively connected with power supply ends of the first main control module 11, the human body physiological representation data acquisition module 12, the human-computer cold-hot interaction module 13 and the first TTL-485 communication module 14. The main control chip MCU with the model cc2530 is a chip which has an 8051 kernel and a zigbee (wireless communication technology applied in short distance and low speed) radio frequency communication function, and can be used as an independent MCU, and can conveniently control and read data of some devices through a protocol stack; the first TTL-485 communication module 14 is used for realizing the conversion between the 485 level and the TTL level, is provided with a self-transmitting and receiving circuit, and can stably realize the reading of data of the 485 sensor; the first power module 15 adopts 24V input, 12V voltage is output through an LM2596-ADJ switching power supply, then power is supplied through a voltage stabilizing chip AMS1117-5.0 and a voltage stabilizing chip AMS1117-3.3, 5.0V voltage and 3.3V voltage are correspondingly output respectively, the 5.0V voltage is used for supplying power to a first driving submodule (relay), and the 3.3V voltage is used for supplying power to a first TTL-485 communication module 14 and a first main control module 11.
The cold and hot complaint situation data of the user about the current indoor environment temperature collected by the human-computer interaction module 13 refers to the cold and hot complaint situation of the user about the current indoor environment temperature collected by the indoor human-computer interaction panel, for example: the human body feels that the current indoor environment temperature is overheated, and a heat complaining key needing temperature reduction can be pressed on the man-machine interaction panel; the human body feels that the current indoor environment temperature is too cold, and a cold complaining key needing to be heated can be pressed on the man-machine interaction panel; the human body physiological characterization data collected by the human body physiological characterization data collection module 12 can be collected by wearing an intelligent bracelet by an indoor user, and include human body skin temperature, heart rate, blood pressure and the like.
Further, the host control unit 1 can be in communication connection with the upper computer 3, and is configured to send human physiological characterization data in the host control unit 1, a cold and hot complaint condition of a user about the current indoor environment temperature, temperature data in the photovoltaic heat collecting unit 2, a comfortable domain range of the human physiological characterization data, and the like to the upper computer 3, and the upper computer 3 can be in remote communication connection with the host control unit 1, so as to implement remote control of the photovoltaic heat collector, and also can be in communication connection in other manners, which is not limited herein.
As shown in fig. 3 to 5, the device to be driven 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 the photovoltaic heat collector 22 and an indoor ventilation duct, and when the photovoltaic heat collector 22 and the indoor ventilation duct are opened, the air in the photovoltaic heat collector 22 and the indoor air are circulated in a convection manner; the second air valve 2202 is used for opening or closing a ventilation pipeline between the photovoltaic heat collector 22 and the hood, and when the ventilation pipeline between the photovoltaic heat collector 22 and the hood is closed, the convection circulation between the air in the photovoltaic heat collector 22 and the outdoor air is avoided; the fan 2203 is arranged at the air outlet of the photovoltaic heat collector 22 and the indoor channel and is used for performing convection circulation on indoor air entering the photovoltaic heat collector 22 through the first air valve 2201 and indoor air duct air according to a set rotating speed gear; the indoor air conditioner 2204 is used to adjust the indoor temperature (raise the indoor temperature) when turned on.
Correspondingly, the driving module 214 includes a first driving submodule 2141 and a second driving submodule 2142, the first driving submodule 2141 is a relay control module, and is configured to drive the first air valve 2201, the second air valve 2202 and the indoor air conditioner 2204 to open or close under the control of the second main control module 212; the second driving submodule 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 by inputting a PWM (Pulse width modulation) signal through the L298N driving chip, so as to control the rotation speed of the fan 2203.
The photovoltaic heat collecting unit 2 comprises a photovoltaic heat collector 22 and a slave control subunit 21, the 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, and the slave control subunit 21 further comprises a second TTL-485 communication module 216, a second power module 217 and a pipeline air speed sensor 218; the photovoltaic heat collector 22 includes a device to be driven 220; the second master control module 212 includes a master control chip of model 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 heat collector; the second power module 217 adopts 24V input, 12V voltage is output through the LM2596-ADJ switching power supply, then power is supplied through the voltage stabilization chip AMS1117-5.0 and the voltage stabilization chip AMS1117-3.3, 5.0V voltage and 3.3V voltage are correspondingly output respectively, 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 heat collector 22 is an air-cooled internal circulation photovoltaic heat collector. The photovoltaic heat collector also comprises a photovoltaic plate 221, a heat insulation plate 222 and a metal shell 223; the heat insulation board 222 is arranged on the metal shell 223, the photovoltaic board 221 is installed at the top of the photovoltaic heat collector, and a heat collection air channel (air flow channel) is formed inside a cavity 226 formed by the photovoltaic board 221, the heat insulation board 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 both the air inlet 224 and the air outlet 225 are provided with air filter layers (which may be filter screens).
Preferably, the photovoltaic panel 221 is a monocrystalline silicon photovoltaic panel (base layer back plate), 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 insulation board is arranged on the aluminum alloy shell, a monocrystalline silicon photovoltaic board is mounted 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 board and the phenolic foam insulation board; the heat absorbing fins 227 are uniformly arranged inside the cavity 226 formed by the photovoltaic panel 221 and the heat insulation board 222, and the height of the heat absorbing fins 227 can be smaller than the height inside the cavity (heat collecting air duct or air flow passage) so as to increase the contact area between the air in the heat collecting air duct and the heat absorbing fins for convective heat exchange, 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 maximum extent, and the heat can be transferred to the air in the flow channel inside the cavity to the maximum extent when the air flows.
An air inlet 224 is installed 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 installed on the aluminum alloy shell on the side opposite to the air inlet 224 and used for acquiring temperature data of the photovoltaic heat collector in a cavity formed by the monocrystalline silicon photovoltaic panel and the phenolic foam heat insulation board.
When the photovoltaic heat collector is used for a modular building, firstly, the size modulus and the number of the photovoltaic heat collectors in the photovoltaic heat collecting unit are determined according to the power consumption requirement and the mountable area; and further determining the number of the host control units according to the principle of master-slave cooperation.
The method comprises the following steps of generating an adjustment control instruction of equipment to be driven in each photovoltaic heat collecting unit according to acquired human body physiological representation data in a plurality of first acquisition periods, cold and hot complaining conditions of a user on indoor environment temperature and temperature data in a cavity of a photovoltaic heat collector in each photovoltaic heat collecting unit:
performing machine learning on the acquired human body physiological characterization data acquired in the previous first acquisition cycle and the cold and hot complaint condition of the user on the indoor environment temperature, and establishing a correlation model between the human body cold and hot complaint data and the human body physiological characterization data, wherein the correlation model is used for determining the human body physiological characterization data comfort domain range in the current first acquisition cycle;
acquiring human body physiological characterization data acquired in a current first acquisition cycle, if the human body physiological characterization data acquired in the current first acquisition cycle does not meet the determined human body physiological characterization data comfort domain range in the current first acquisition cycle, judging whether the temperature data in the cavity of the photovoltaic heat collector in the photovoltaic heat collection units in a current second acquisition cycle is larger than a first preset temperature threshold, and if so, generating a first adjustment control instruction of equipment to be driven in each photovoltaic heat collection unit, 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 sending air heated in the photovoltaic heat collector into a room after passing through the first air valve; if the current value is less than the preset value, generating a second adjustment control instruction of the equipment to be driven in each photovoltaic heat collecting 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 increasing the indoor temperature; and the duration of the first acquisition period is greater than the duration of the second acquisition period.
The first preset temperature threshold may be 18 ℃, and may also be flexibly adjusted according to the actual situation, which is not limited herein.
The method includes the steps of performing machine learning on human body physiological characterization data acquired in a previous first acquisition cycle and cold and hot complaint conditions of indoor environment temperature of a user, and establishing a correlation model between the human body cold and hot complaint data and the human body physiological characterization data, wherein the correlation model is used for determining a comfort domain range of the human body physiological characterization data in the current first acquisition cycle and specifically includes the following steps:
firstly, an initial human body physiological characterization data comfort domain range is given, an initial human body skin temperature comfort domain range initial value is adjusted, a lower limit value of the comfort domain range is adjusted and optimized according to human body physiological characterization data under the cold complaint condition of a human-machine cold-hot interaction module in a previous first acquisition cycle, an upper limit value of the comfort domain range is adjusted and optimized according to human body physiological characterization data under the hot complaint condition of a human-machine interaction panel in the previous first acquisition cycle, and a final human body physiological characterization data comfort domain range is determined.
Furthermore, the human body physiological representation data comfort domain range of the next first acquisition cycle supports updating and optimizing of cold and hot complaining conditions of indoor environment temperature according to the human body physiological representation data acquired by the human body physiological representation data acquisition module of the current first acquisition cycle and the user acquired by the human-computer cold and hot interaction module.
First adjustment control command is used for driving the fan through drive module and begins the operation for send the indoor interior specific inclusion of having included into behind the air of the inside heating of photovoltaic heat collector through first blast gate:
and the fan starts to operate from the lowest rotating speed gear, and the rotating speed gear of the fan operation is gradually increased along with the increase of the temperature data in the cavity of the photovoltaic heat collector in the photovoltaic heat collecting unit in the current second collection period until the fan operates to the highest rotating speed gear. Specifically, the temperature data in the cavity of the photovoltaic heat collector in the current photovoltaic heat collecting unit is one degree higher per liter, the rotating speed of the fan increases by one gear, and the air heated in the heat collector is taken away by the fan after the indoor air enters the photovoltaic heat collector and is sent into the room after passing through the indoor first air valve until the temperature data in the cavity of the photovoltaic heat collector in the photovoltaic heat collecting unit in the current second collecting period is equal to the first preset temperature threshold value. And the second adjustment control instruction is used for driving the first air valve to be closed through the driving module, stopping the fan, starting the indoor air conditioner to operate, and improving the indoor temperature, and preferably, the second air valve is also closed, so that the temperature data in the cavity of the photovoltaic heat collector in the photovoltaic heat collection unit in the current second collection period can be improved.
Further, if the human body physiological representation data in the current first acquisition cycle meets the determined human body physiological representation data comfort domain range in the current first acquisition cycle, the device to be driven in the photovoltaic heat collector does not need to be adjusted.
Preferably, the process of machine learning is performed on the human body physiological characterization data acquired in the previous first acquisition cycle and the cold and hot complaints of the user about the indoor environment temperature, and can be performed in the first main control module or the host computer, namely, the established association model is written into the host control unit, and the function of autonomous optimization of the association model is reserved, the data collected by the intelligent bracelet and the man-machine interaction panel connected with the host control unit can continuously optimize the correlation model in the host control unit, namely, the skin temperature comfort domain range value of the user in the host control unit is continuously optimized, namely, the human body physiological characterization data comfort domain range of the next first acquisition cycle supports updating and optimizing according to the human body physiological characterization data acquired by the human body physiological characterization data acquisition module in the current first acquisition cycle and the cold and hot complaining condition of the indoor environment temperature of the user acquired by the human-computer cold and hot interaction module.
It should be noted that, in the embodiment of the present invention, the skin temperature of the human body is taken as an example, and is used as human body physiological characteristic data, and the heart rate or the respiratory rate of the human body may also be used as human body physiological characteristic data for application, which is not limited herein. As shown in fig. 6-7, a user feels the temperature in a room, and gives a cool and hot feeling through a human-computer interaction module, a control system (a first main control module or an upper computer) performs machine learning after obtaining the cool and hot feeling and human body physiological characterization data given by the human-computer interaction module, establishes a correlation model between human body cool and hot complaint data and human body physiological characterization data, and is used for determining a human body physiological characterization data comfort domain range in a current first acquisition cycle, and judging and predicting the cool and hot feeling of the user according to the human body physiological characterization data in the current first acquisition cycle and the human body physiological characterization data comfort domain range in the current first acquisition cycle, so as to send a corresponding adjustment control command to a second main control module (controller) in a slave control unit, control a device to be driven to adjust, and further change the entering temperature. The cool feeling of the user can be predicted and judged according to the comparison of the human physiological characterization data of the current first acquisition cycle and the comfortable domain range of the human physiological characterization data of the current first acquisition cycle, namely the human physiological characterization data of the current first acquisition cycle is smaller than the lower limit value of the comfortable domain range of the human physiological characterization data of the current first acquisition cycle and can be judged as the cool feeling of the user, and the human physiological characterization data of the current first acquisition cycle is larger than the upper limit value of the comfortable domain range of the human physiological characterization data of the current first acquisition cycle and can be judged as the warm feeling of the user.
The invention comprises a host control unit and a plurality of photovoltaic heat collecting units distributed in a modularized building, wherein a first main control module in the host control unit can acquire human physiological characterization data acquired by a human physiological characterization data acquisition module in a plurality of first acquisition cycles, cold and hot complaints of users on the current indoor environment temperature acquired by a human-computer cold and hot interaction module and the internal temperature data of a photovoltaic heat collector cavity sent by a second main control module in each photovoltaic heat collecting unit, and generates an adjustment control instruction of equipment to be driven in each photovoltaic heat collecting unit according to the acquired human physiological characterization data acquired by the human physiological characterization data acquisition module in the plurality of first acquisition cycles, cold and hot complaints of users on the current indoor environment temperature acquired by the human-computer cold and hot interaction module and the internal temperature data of the photovoltaic heat collector cavity in each photovoltaic heat collecting unit, the problem that in the prior art, the efficiency and the reliability of control of the photovoltaic heat collector are not high due to the fact that corresponding adjustment cannot be conducted according to the indoor environment is effectively solved, and the efficiency and the reliability of control of the photovoltaic heat collector are effectively improved.
According to the technical scheme, the to-be-driven device comprises a first air valve, an indoor air conditioner and a fan, and can generate adjusting control instructions corresponding to the first air valve, a second air valve and the fan in each photovoltaic heat collecting unit according to human body physiological representation data acquired in a current first acquisition cycle, cold and hot complaints of a user to the current indoor environment temperature and temperature data in a photovoltaic heat collecting cavity in each photovoltaic heat collecting unit, so that convection circulation of air in the photovoltaic heat collecting cavity and the room is realized, and the problem that the power generation efficiency is influenced by high temperature in the power generation process of a photovoltaic power generation panel in a conventional photovoltaic heat collecting unit is solved; meanwhile, according to the change of the temperature parameter 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.
The technical scheme of the invention aims at obtaining human body physiological characterization data in a first acquisition cycle before, and cold and hot complaints of a user to the current indoor environment temperature to carry out machine learning, and establishes a correlation model between the human body cold and hot complaints data and the human body physiological characterization data, and the correlation model is used for determining a comfortable domain range of the human body physiological characterization data in the first acquisition cycle; if the human physiological characterization data acquired in the current first acquisition cycle does not meet the determined human physiological characterization data comfort domain range of the first acquisition cycle, a control adjustment instruction of equipment to be driven in the photovoltaic heat collector is generated, so that the indoor comfort condition of the building is in a real-time state, the human physiological characterization data and the human cold and hot complain data are adaptive, and the user experience of the photovoltaic heat collector is improved.
According to the technical scheme, each photovoltaic heat collecting unit corresponds to the modular building unit with the corresponding area, and the combination of a plurality of modular building units can supply power and heat by using a plurality of photovoltaic heat collecting units.
In the technical scheme of the invention, the comfortable domain range of the human body physiological characterization data of the next first acquisition cycle supports updating and optimization according to the human body physiological characterization data acquired by the human body physiological characterization data acquisition module of the current first acquisition cycle and cold and hot complaints of indoor environment temperature by users acquired by the human-computer 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.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (10)
1. The utility model provides a photovoltaic thermal-arrest unit control system based on human-computer interaction which characterized by is applied to the modularization building, includes:
the system comprises a host control unit, a plurality of photovoltaic heat collecting units and a control unit, wherein the host control unit comprises a first main control module, a human body physiological characterization data acquisition module and a human-computer cold-hot interaction module, the first main control module is used for acquiring human body physiological characterization data acquired by the human body physiological characterization data acquisition module in a plurality of first acquisition cycles, cold and hot complaints of a user on the indoor environment temperature acquired by the human-computer cold-hot interaction module and photovoltaic heat collector cavity internal temperature data sent by a second main control module in each photovoltaic heat collecting unit, and generates an adjustment control instruction of equipment to be driven in each photovoltaic heat collecting unit according to the acquired human body physiological characterization data in the plurality of first acquisition cycles, the cold and hot complaints of the user on the indoor environment temperature and the photovoltaic heat collector cavity internal temperature data in each photovoltaic heat collecting unit;
the photovoltaic heat collecting system comprises a plurality of photovoltaic heat collecting units arranged in a modular building, wherein each photovoltaic heat collecting unit comprises a slave machine control subunit and a photovoltaic heat collector, the slave machine control subunit comprises a slave machine control module, a second main control module, a first temperature collecting module and a driving module, the photovoltaic heat collector comprises equipment to be driven, and the first temperature collecting module is used for acquiring the internal temperature of a cavity of the photovoltaic heat collector in the current second collecting period and transmitting the temperature data acquired in the current second collecting period to the second main control module; the second master control module is used for communicating with the host control unit according to the acquired temperature data, receiving a control instruction of the host control unit, and driving the device to be driven to adjust through the slave control module and the driving module.
2. The human-computer interaction based photovoltaic heat collection unit control system as claimed in claim 1, wherein the human body physiological characteristic data acquisition module comprises a human body skin temperature acquisition module, and the data acquisition 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 human-computer interaction based photovoltaic heat collection unit control system of claim 1, wherein the to-be-driven device 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 between air in the photovoltaic heat collector and indoor air is realized; the indoor air conditioner is used for adjusting indoor temperature; the fan is arranged at the air outlet of the photovoltaic heat collector and the air outlet of the indoor channel and used for performing convection circulation on indoor air entering the photovoltaic heat collector through the first air valve and the indoor air duct according to a set rotating speed gear.
4. The human-computer interaction based photovoltaic heat collection unit control system as claimed in claim 3, wherein the driving module comprises a first driving submodule and a second driving submodule, and the first driving submodule 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 submodule is used for driving the fan to rotate according to a preset gear under the control of the second main control module.
5. The human-computer interaction based photovoltaic heat collection unit control system according to claim 3, wherein the generation of the adjustment control instruction of the device to be driven in each photovoltaic heat collection unit according to the obtained human physiological characterization data in the plurality of first collection periods, the complaint condition of the user on the cold and hot indoor environment temperature and the temperature data inside the cavity of the photovoltaic heat collector in each photovoltaic heat collection unit is specifically as follows:
performing machine learning on the acquired human body physiological characterization data acquired in the previous first acquisition cycle and the cold and hot complaint condition of the user on the indoor environment temperature, and establishing a correlation model between the human body cold and hot complaint data and the human body physiological characterization data, wherein the correlation model is used for determining the human body physiological characterization data comfort domain range in the current first acquisition cycle;
acquiring human body physiological characterization data acquired in a current first acquisition cycle, if the human body physiological characterization data acquired in the current first acquisition cycle does not meet the determined human body physiological characterization data comfort domain range in the current first acquisition cycle, judging whether the temperature data in the cavity of the photovoltaic heat collector in the photovoltaic heat collection units in a current second acquisition cycle is larger than a first preset temperature threshold, and if so, generating a first adjustment control instruction of equipment to be driven in each photovoltaic heat collection unit, 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 sending air heated in the photovoltaic heat collector into a room after passing through the first air valve; if the current value is less than the preset value, generating a second adjustment control instruction of the equipment to be driven in each photovoltaic heat collecting 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 increasing the indoor temperature; and the duration of the first acquisition period is greater than the duration of the second acquisition period.
6. The human-computer interaction based photovoltaic heat collection unit control system according to claim 5, wherein the machine learning is performed on the human body physiological characterization data acquired in the previous first acquisition cycle and the cold and hot complaint situation of the indoor environment temperature by the user, and the association model between the human body cold and hot complaint data and the human body physiological characterization data is established, so as to determine the comfort domain range of the human body physiological characterization data in the current first acquisition cycle specifically comprises:
firstly, an initial human body physiological characterization data comfort domain range is given, an initial human body skin temperature comfort domain range initial value is adjusted, a lower limit value of the comfort domain range is adjusted and optimized according to human body physiological characterization data under the cold complaint condition of a human-machine cold-hot interaction module in a previous first acquisition cycle, an upper limit value of the comfort domain range is adjusted and optimized according to human body physiological characterization data under the hot complaint condition of a human-machine interaction panel in the previous first acquisition cycle, and a final human body physiological characterization data comfort domain range is determined.
7. The human-computer interaction based photovoltaic heat collection unit control system as claimed in claim 6, wherein the human body physiological characteristic data comfort domain range of the next first collection cycle supports updating and optimization of cold and hot complaint conditions of indoor environment temperature of the user collected by the human-computer cold and hot interaction module according to the human body physiological characteristic data collected by the human body physiological characteristic data collection module of the current first collection cycle.
8. The human-computer interaction based photovoltaic heat collection unit control system according to claim 5, wherein if the human physiological characterization data in the current first collection period meets the determined human physiological characterization data comfort domain range in the current first collection period, no adjustment is required to be performed on the device to be driven in the photovoltaic heat collector.
9. The human-computer interaction based photovoltaic heat collection unit control system of claim 3, wherein the photovoltaic heat collector further comprises a photovoltaic panel, a heat insulation panel, and a metal housing; the heat insulation plate is arranged on the metal shell, the photovoltaic plate is arranged at the top of the photovoltaic heat collector, and a heat collection air channel is formed in a cavity formed by the photovoltaic plate, the heat insulation plate and the metal shell; an air inlet is installed on one side of the metal shell, an air outlet is installed on the metal shell on the side opposite to the air inlet, and an air filtering layer is arranged on the air inlet.
10. The human-computer interaction based photovoltaic heat collection unit control system according to claim 9, wherein the photovoltaic heat collector further comprises heat absorption fins, and the heat absorption fins are uniformly arranged inside a cavity formed by the photovoltaic plate and the heat insulation plate and used for increasing the contact area between air in the heat collection air duct and the heat absorption fins for convective heat exchange.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104930720A (en) * | 2015-05-13 | 2015-09-23 | 山东建筑大学 | Rectangular fin double-effect solar heat collector based on human body temperature control |
| CN105955356A (en) * | 2016-05-05 | 2016-09-21 | 华南理工大学 | Indoor environment control system and method based on human body heat acclimatization |
| KR20170044503A (en) * | 2015-10-15 | 2017-04-25 | 공주대학교 산학협력단 | Air-conditioning System Using Air Type Photohvoltaic-thermal Preheating Module |
| CN108954456A (en) * | 2018-09-25 | 2018-12-07 | 天普新能源科技有限公司 | A kind of solar energy heating system and its heating method |
| CN110331801A (en) * | 2019-05-30 | 2019-10-15 | 华北水利水电大学 | Photovoltaic and photothermal accumulation of heat bilayer breathes curtain wall |
| CN113587203A (en) * | 2021-07-23 | 2021-11-02 | 西安石油大学 | Multi-module combined control solar-heat pump composite heat collection system based on PLC |
| CN113819506A (en) * | 2021-07-23 | 2021-12-21 | 河北工业大学 | Solar photovoltaic photo-thermal heat pump control system and method based on load self-adaption |
| CN114186875A (en) * | 2021-12-14 | 2022-03-15 | 广东电网有限责任公司 | Park multi-energy optimization scheduling control method with high new energy ratio |
-
2022
- 2022-07-14 CN CN202210825803.5A patent/CN115061517B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104930720A (en) * | 2015-05-13 | 2015-09-23 | 山东建筑大学 | Rectangular fin double-effect solar heat collector based on human body temperature control |
| KR20170044503A (en) * | 2015-10-15 | 2017-04-25 | 공주대학교 산학협력단 | Air-conditioning System Using Air Type Photohvoltaic-thermal Preheating Module |
| CN105955356A (en) * | 2016-05-05 | 2016-09-21 | 华南理工大学 | Indoor environment control system and method based on human body heat acclimatization |
| CN108954456A (en) * | 2018-09-25 | 2018-12-07 | 天普新能源科技有限公司 | A kind of solar energy heating system and its heating method |
| CN110331801A (en) * | 2019-05-30 | 2019-10-15 | 华北水利水电大学 | Photovoltaic and photothermal accumulation of heat bilayer breathes curtain wall |
| CN113587203A (en) * | 2021-07-23 | 2021-11-02 | 西安石油大学 | Multi-module combined control solar-heat pump composite heat collection system based on PLC |
| CN113819506A (en) * | 2021-07-23 | 2021-12-21 | 河北工业大学 | Solar photovoltaic photo-thermal heat pump control system and method based on load self-adaption |
| CN114186875A (en) * | 2021-12-14 | 2022-03-15 | 广东电网有限责任公司 | Park multi-energy optimization scheduling control method with high new energy ratio |
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