Phase Change Transition Transition Wall Based on Intelligent Predictive Control and Its Control Method

Abstract

This invention provides a phase change Transylvanian wall based on intelligent predictive control and its control method. A heat-absorbing coating layer is applied to the outside of the first phase change layer, and a phase change activation device is installed within the first and second phase change layers, enabling the first and second phase change layers to regulate indoor temperature through phase change under various environmental conditions. Furthermore, two external ventilation openings are provided on the upper and lower sides of the structural insulation layer, and two internal ventilation openings are provided on the upper and lower sides of the glass panel. Through the coordinated operation of the two external ventilation openings, the two internal ventilation openings, and the first and second phase change layers, the indoor temperature is intelligently regulated, preventing discomfort or stuffiness for occupants due to temperature fluctuations. This overcomes the problems of diurnal and seasonal thermal imbalance, single energy utilization mode, and lagging operation mode regulation inherent in traditional Transylvanian walls.

Description

Technical Field

[0001] This invention relates to the fields of phase change energy storage, solar ventilation technology, and intelligent building control technology, and in particular to a phase change Transbry wall based on intelligent predictive control and its control method. Background Technology

[0002] my country possesses abundant solar energy resources, and fully utilizing solar energy to reduce the use of fuels such as coal has become an effective means of energy conservation. The phase change Transylvanian wall system, as a passive solar energy utilization system, absorbs solar energy through air channels between the glass layer and the thermal storage wall, using the thermo-pressure effect to achieve indoor heating and reduce building energy consumption. However, traditional phase change Transylvanian walls still have several limitations.

[0003] On the one hand, traditional Transylvanian walls rely solely on light radiation to induce a phase change in the phase change layer. Their operational mechanism depends entirely on light radiation to trigger a change in the phase change layer's state. This single energy triggering mode imposes strict limitations on the phase change layer's ability to collect light radiation. If there is insufficient sunlight, such as on cloudy days or during the early morning or evening, the phase change layer cannot effectively store heat, significantly weakening the Transylvanian wall's thermal buffering capacity. Furthermore, the diurnal periodicity of light radiation makes the phase change layer's operation significantly intermittent. During the day, continuous sunlight is required to maintain the phase change process; at night, without sunlight, the phase change layer cannot actively absorb heat and can only slowly release heat through natural dissipation, making it difficult to meet all-weather thermal management requirements.

[0004] On the other hand, traditional phase change Transform walls employ a closed-loop structure, physically isolating the indoor and outdoor environments. This design flaw can lead to significant thermal management failures in scenarios requiring indoor cooling. From a heat transfer mechanism perspective, when the outdoor temperature is higher than the indoor temperature or sunlight intensity is high, although the phase change layer can store heat by absorbing light radiation, the lack of effective heat dissipation channels in the wall prevents the accumulated heat from being quickly dissipated to the outside through convection, resulting in a "thermal seal." Simultaneously, the sensible and latent heat generated by indoor activities and equipment operation cannot be dissipated through the wall, causing the indoor air temperature to rise continuously, resulting in a strong feeling of stuffiness. Summary of the Invention

[0005] One object of the present invention is to overcome at least one deficiency in the prior art and to provide a phase transition Transbry wall based on intelligent predictive control.

[0006] A further objective of this invention is that by setting a first phase change layer and a second phase change layer, and setting phase change activation devices inside the first phase change layer and the second phase change layer respectively, the phase change Transformer wall can controllably regulate the indoor temperature under various lighting conditions.

[0007] Another further object of the present invention is to regulate the indoor temperature by setting up a ventilation device and cooperating with a phase change activation device in a controlled manner.

[0008] Specifically, the present invention provides a phase change Transformer wall based on intelligent predictive control, comprising: a structural insulation layer; a first phase change layer disposed on the outside of the structural insulation layer; a second phase change layer disposed on the inside of the structural insulation layer; a heat-absorbing coating layer disposed on the outside of the first phase change layer for absorbing heat from solar radiation; a phase change activation device disposed in the first and second phase change layers respectively; a ventilation device for controlling the flow of gas inside the phase change Transformer wall to achieve heat exchange; and a control unit configured to adjust the state of the phase change activation device and / or the ventilation device to achieve indoor temperature regulation in multiple modes.

[0009] Optionally, the phase change Transformer wall based on intelligent predictive control also includes: glass panels, spaced apart on the outside of the heat-absorbing coating layer, for transmitting solar radiation; and air duct cavities, located between the heat-absorbing coating layer and the glass panels, for forming a sealed layer to isolate the outdoor environment from the indoor environment.

[0010] Optionally, the ventilation device includes: two internal ventilation openings located on the upper and lower sides of the structural insulation layer and configured to be opened and closed under control respectively; two external ventilation openings located on the upper and lower sides of the glass panel and configured to be opened and closed under control respectively; and the two internal ventilation openings and the two external ventilation openings are configured to be controlled by a control unit to form multiple ventilation states.

[0011] Optionally, the phase change Transform wall based on intelligent predictive control further includes: a photovoltaic power unit for providing power to the control unit; wherein the photovoltaic power unit includes: a solar photovoltaic panel, installed on the top of the Transform wall, for converting absorbed solar energy into electrical energy for use by the control unit; and a battery, installed on the top of the air duct cavity, for storing electrical energy.

[0012] Optionally, the first phase change layer and the second phase change layer are phase change gypsum board made of phase change microcapsules and gypsum, wherein the phase change microcapsules are paraffin wax, and the phase change temperature of the first phase change layer is 24±2℃ and the phase change temperature of the second phase change layer is 18±2℃.

[0013] Optionally, according to another aspect of the present invention, a control method for a phase-change Transition (TTRAMB) wall based on intelligent predictive control is also provided for controlling any of the aforementioned phase-change TTRAMB walls based on intelligent predictive control. The method includes: acquiring environmental data and operating status data; preprocessing the environmental data and operating status data, wherein the preprocessing steps include cleaning the environmental data and operating status data with historical data and then extracting periodic characteristic data that varies over time; predicting a control strategy based on the periodic characteristic data; and executing the control strategy.

[0014] Optionally, the steps for predicting the control strategy based on periodic characteristic data include: determining whether the current daily average solar radiation intensity is greater than a preset first solar radiation intensity; if the current daily average solar radiation intensity is greater than the preset first solar radiation intensity, determining whether the indoor air temperature is greater than the outdoor air temperature; if the indoor air temperature is greater than the outdoor air temperature, the control strategy is a sunny day heating mode; if the indoor air temperature is less than the outdoor air temperature, the control strategy is a sunny day ventilation mode; if the current daily average solar radiation intensity is less than the preset first solar radiation intensity, determining whether the indoor air temperature is greater than the outdoor air temperature; if the indoor air temperature is greater than the outdoor air temperature, the control strategy is a non-sunny day heating mode; if the indoor air temperature is less than the outdoor air temperature, the control strategy is a non-sunny day ventilation mode.

[0015] Optionally, the sunny heating mode is as follows: two internal vents are opened during the day and two internal vents are closed at night; the sunny ventilation mode is as follows: the lower internal vent and the upper external vent are opened during the day and two internal vents and two external vents are opened at night; the non-sunny heating mode is as follows: two internal vents are closed and the phase change activation device is activated to heat the second phase change layer; the non-sunny ventilation mode is as follows: two internal vents and two external vents are opened and the phase change activation device is activated to cool the second phase change layer.

[0016] Optionally, after sending the control strategy to the control unit, the method further includes: recording real-time environmental data and operating status data during the execution of the control strategy, calculating the solar photovoltaic utilization rate of the control strategy, and training the predictive control strategy method online based on minimizing the heating energy consumption compliance rate and maximizing the solar photovoltaic utilization rate under the control strategy as optimization objectives.

[0017] Optionally, the optimization objective includes minimizing the heating energy consumption compliance rate, calculated using the following formula: Among them, Q Min Let P be the minimum daily energy consumption value within a single month, t be the minimum heating energy consumption compliance rate, and Q be the number of days in the month. actual The actual heating energy consumption for the month; to maximize the utilization rate of solar photovoltaic power, the calculation formula is: Where N is the solar photovoltaic utilization rate, P activate Q is the rated power of the phase change layer activation device, T is the activation time of the phase change layer activation device, and Q is the activation time of the phase change layer activation device. power To store electricity for photovoltaic power units.

[0018] The present invention provides a phase change Transformer wall based on intelligent predictive control, which consists of a first phase change layer and a second phase change layer, with phase change activation devices respectively installed within the first and second phase change layers. This enables the phase change Transformer wall to controllably regulate indoor temperature under various lighting conditions. Through the coordinated operation of the two phase change layers and the phase change activation device, combined with intelligent predictive control logic, the limitations of the passive regulation of traditional Transformer walls can be overcome, resulting in multiple technical advantages in terms of temperature regulation accuracy, environmental adaptability, and energy efficiency.

[0019] Furthermore, two internal ventilation openings and two external ventilation openings are respectively installed on the upper and lower sides of the structural insulation layer and the glass panel, and are controlled in conjunction with the phase change activation device to regulate the indoor temperature. This design allows for rapid heating of the room by closing all air outlets, with the phase change activation device activating to release heat from the first and second phase change layers into the room. When rapid cooling is required, the phase change activation device is shut off, and the appropriate opening and closing method of the air outlets is selected based on the actual situation to quickly reduce the indoor temperature.

[0020] The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments of the invention in conjunction with the accompanying drawings. Attached Figure Description

[0021] The following sections will describe some specific embodiments of the invention in detail by way of example and not limitation, with reference to the accompanying drawings. The same reference numerals in the drawings denote the same or similar parts or portions. Those skilled in the art should understand that these drawings are not necessarily drawn to scale. In the drawings:

[0022] Figure 1 This is a schematic diagram of the structure of a phase change Transbryne wall according to an embodiment of the present invention;

[0023] Figure 2 This is a connection diagram of a control unit according to an embodiment of the present invention;

[0024] Figure 3 This is a connection diagram of a photovoltaic power unit according to an embodiment of the present invention;

[0025] Figure 4 This is a schematic diagram illustrating the operating principle of a sunny day heating mode according to an embodiment of the present invention;

[0026] Figure 5 This is a schematic diagram illustrating the operating principle of a non-sunny day heating mode according to an embodiment of the present invention;

[0027] Figure 6 This is a schematic diagram illustrating the operating principle of a sunny day ventilation mode according to an embodiment of the present invention;

[0028] Figure 7 This is a schematic diagram illustrating the operating principle of a non-sunny day ventilation mode according to an embodiment of the present invention;

[0029] Figure 8 This is a schematic flowchart of a phase-change Transitional Transitional wall control method according to an embodiment of the present invention;

[0030] Figure 9 This is a flowchart illustrating a predictive control strategy according to an embodiment of the present invention;

[0031] Figure 10 This is a flowchart illustrating a predictive control strategy according to another embodiment of the present invention;

[0032] Figure 11 This is a schematic flowchart illustrating the online training process for a predictive control strategy according to an embodiment of the present invention. Detailed Implementation

[0033] This invention provides a phase-change Transition Transition wall based on intelligent predictive control, such as... Figure 1 As shown, the phase change Transformer wall may include: a structural insulation layer 110, a first phase change layer 120, a second phase change layer 130, a heat-absorbing coating layer 140, a phase change activation device 200, a ventilation device 300, and a control unit 400. The structural insulation layer 110 is composed of a structural layer and an insulation layer, providing both structural support and insulation for each structural layer.

[0034] The first phase change layer 120 can be disposed on the outside of the structural insulation layer 110, and can absorb solar heat during the day to heat the air and deliver it to the room, thereby increasing the indoor temperature. The first phase change layer 120 can also be heated or cooled by a phase change activation device 200 disposed inside it, so as to flexibly adjust the indoor temperature according to the actual environmental conditions.

[0035] The second phase change layer 130 can be set inside the structural insulation layer 110. According to the heating or cooling of the phase change activation device 200, it realizes phase change and thus regulates the indoor temperature. In coordination with the first phase change layer 120, it can accelerate the rate of indoor temperature regulation.

[0036] The heat-absorbing coating layer 140 can be disposed on the outside of the first phase change layer 120 to absorb heat from solar radiation. Due to the heat absorption effect of the heat-absorbing coating layer 140, the first phase change layer 120 can quickly absorb heat and undergo phase change, further improving the rate of indoor temperature regulation.

[0037] The phase change activation device 200 can be respectively disposed within the first phase change layer 120 and the second phase change layer 130. The phase change activation device 200 can heat or cool the first phase change layer 120 and the second phase change layer 130, thereby intelligently changing the indoor temperature and improving the rate of indoor temperature regulation. The phase change activation device 200 can be a semiconductor thermocouple, respectively arranged inside the first phase change layer 120 and the second phase change layer 130. Through the Peltier effect of the semiconductor thermocouple, electrical energy is directly converted into thermal energy, realizing active cooling and solidification control of the phase change materials of the first phase change layer 120 and the second phase change layer 130.

[0038] The ventilation device 300 is used to controllably allow the gas inside the phase change Transform wall to exchange heat through flow. The ventilation device 300 and the phase change activation device 200 work together to regulate the indoor temperature more intelligently and quickly. Furthermore, the ventilation device 300 improves the comfort of people inside the room, as it controls indoor and outdoor ventilation, preventing them from feeling stuffy.

[0039] The control unit 400 can be configured to adjust the state of the phase change activation device 200 and / or the ventilation device 300, such as Figure 2 As shown, the control unit 400 is connected to the phase change activation device 200 and the ventilation device 300 respectively, and can intelligently adjust the operation of the phase change activation device 200 and the ventilation device 300 according to the actual indoor conditions and needs, thereby achieving the purpose of quickly and intelligently adjusting the indoor temperature.

[0040] The phase change Transform wall may further include: glass panels 150 and air duct cavities 160. The air duct panels are spaced apart on the outside of the heat-absorbing coating layer 140 to transmit solar radiation. An air duct cavity 160 is formed between the air duct panels and the heat-absorbing coating layer 140, and the air duct cavity 160 is a relatively sealed layer to isolate the outdoor environment from the indoor environment. The air duct cavity 160 can also be used in conjunction with a ventilation device 300 to achieve different temperature regulation schemes by controlling the different flow directions of air within the air duct cavity 160.

[0041] The ventilation device 300 may include two internal ventilation openings 310 and two external ventilation openings 320. The two internal ventilation openings 310 are located on the upper and lower sides of the structural insulation layer 110 and can be opened or closed under the control of the control unit 400. The two external ventilation openings 320 may be located on the upper and lower sides of the glass panel 150 and can be opened or closed under the control of the control unit 400. The control unit 400 can control the opening and closing of the two internal ventilation openings 310 and the two external ventilation openings 320 to form various ventilation states, and, in conjunction with the phase change activation device 200, realize various intelligent temperature control schemes.

[0042] like Figure 3As shown, the phase change Transylvanian wall may also include a photovoltaic power unit 500 for providing power to the control unit 400. The photovoltaic power unit 500 may include a solar photovoltaic panel 510, which is positioned at the top of the Transylvanian wall. This arrangement facilitates the solar photovoltaic panel 510 receiving solar radiation and converting solar energy into electrical energy for use by the control unit 400. A battery 520 may be positioned at the top of the air duct cavity 160 to store electrical energy for subsequent use by the control unit 400.

[0043] The first phase change layer 120 and the second phase change layer 130 can be phase change gypsum board made of phase change microcapsules and gypsum, and the phase change microcapsules can be paraffin wax. The phase change temperature of the first phase change layer 120 can be 24±2℃, and the phase change temperature of the second phase change layer 130 can be 18±2℃.

[0044] In some optional embodiments, the thickness of the phase change microcapsule core material can be from 10 mm to 30 mm, preferably 20 mm. The structural insulation layer 110 may include a structural layer and an insulation layer. The structural layer is used to support the overall structure of each layer. The insulation layer can be made of polyurethane, and its thickness can be from 40 mm to 60 mm, preferably 50 mm.

[0045] In some optional embodiments, the phase change Transformer wall may further include a sensing unit and an execution unit. The sensing unit monitors data such as indoor and outdoor temperatures, the temperature of the air duct cavity 160°C, the temperature of the phase change material, solar radiation intensity, and energy consumption, providing data support for the control strategy for generating the phase change Transformer wall. The execution unit executes the specific steps of the control strategy, thereby intelligently regulating the indoor temperature.

[0046] This embodiment also provides a control method for a phase transition Transition Transition wall based on intelligent predictive control, used to control the phase transition Transition Transition wall based on intelligent predictive control in any of the above embodiments, such as... Figure 8 As shown, the control method includes at least the following steps S101 to S104.

[0047] Step S101: Obtain environmental data and operating status data.

[0048] Step S102: Preprocess the environmental data and operating status data.

[0049] Step S103: Predict control strategies based on periodic characteristics.

[0050] Step S104: Execute the control strategy.

[0051] The preprocessing step involves cleaning and processing environmental and operational data against historical data to extract periodic features that change over time. This method acquires environmental and operational data (such as indoor and outdoor temperatures, duct cavity temperatures, phase change material temperatures, solar radiation intensity, and energy consumption values), cleans it against historical data, and extracts periodic features that change over time, such as temperature fluctuations and changes in sunshine duration over the same period in previous years. This allows for accurate prediction of environmental trends. For example, based on historical data and weather forecasts, the system can anticipate a temperature drop tomorrow. It will then allow the phase change layer to store more heat today, releasing it gradually when the temperature drops tomorrow, keeping the room warm. If a midday temperature rise is predicted, the system will open external vents in the morning to expel hot air from the walls, while simultaneously preparing the phase change layer to absorb heat. This effectively blocks high temperatures from entering at midday, preventing the room from suddenly becoming stuffy. More importantly, this predictive control strategy ensures a stable indoor temperature, preventing sudden temperature fluctuations and improving the comfort of occupants.

[0052] like Figure 9 As shown, the steps for predicting control strategies based on periodic characteristic data include at least the following steps S201 to S204.

[0053] Step S201: Determine whether the current daily average solar radiation intensity is greater than the preset first solar radiation intensity.

[0054] Step S202: If the current daily average solar radiation intensity is greater than the preset first solar radiation intensity, then determine whether the indoor air temperature is greater than the outdoor air temperature.

[0055] Step S203: When the indoor air temperature is higher than the outdoor air temperature, the control strategy is sunny heating mode.

[0056] Step S204: When the indoor air temperature is lower than the outdoor air temperature, the control strategy is the sunny ventilation mode.

[0057] like Figure 10 As shown, the steps for predicting control strategies based on periodic characteristic data may further include at least the following steps S301 to S304.

[0058] Step S301: Determine whether the current daily average solar radiation intensity is greater than the preset first solar radiation intensity.

[0059] Step S302: If the current daily average solar radiation intensity is less than the preset first solar radiation intensity, then determine whether the indoor air temperature is greater than the outdoor air temperature.

[0060] Step S303: When the indoor air temperature is higher than the outdoor air temperature, the control strategy is the non-sunny day heating mode.

[0061] Step S304: When the indoor air temperature is lower than the outdoor air temperature, the control strategy is the non-sunny day ventilation mode.

[0062] The first solar radiation intensity is used as the standard for determining whether the current day is sunny. The value of the first solar radiation intensity can be set based on historical data. Comparing the indoor air temperature with the outdoor air temperature can determine whether heating or ventilation is needed indoors.

[0063] Control strategies can include sunny-day heating mode, sunny-day ventilation mode, non-sunny-day heating mode, and non-sunny-day ventilation mode. For example, Figure 4 As shown, in sunny heating mode, during the day, the two internal vents are opened. The phase change Transformer wall absorbs solar heat through its heat-absorbing coating layer, heating the temperature inside the air duct cavity and creating a chimney effect to deliver heated air into the room. Simultaneously, the first phase change layer absorbs and stores energy under solar radiation and melts. At night, the two internal vents are closed, forming a sealed air gap inside the air duct cavity. The first phase change layer releases the energy absorbed and stored during the day into the air duct cavity, mitigating the impact of the external environment on the indoor environment.

[0064] like Figure 6 As shown, in the sunny ventilation mode, during the day, the lower internal vent and the upper external vent are opened. The Transbryne wall absorbs solar heat through its heat-absorbing coating layer, heating the air duct cavity and creating a chimney effect to expel hot indoor air to the outside. At night, the two internal vents and two external vents are opened to enhance natural ventilation and expel the heat stored indoors and in the first phase change layer during the day to the outside.

[0065] like Figure 5 As shown, in non-sunny day heating mode, both internal vents are closed, and the air duct cavity forms a sealed air gap to isolate the indoor environment from the influence of the outdoor environment. Simultaneously, the photovoltaic power unit supplies power to the phase change activation device, triggering its heating mode. The phase change material in the second phase change layer transforms into a liquid state. Due to the adjacent structural insulation layer, the liquid phase change material releases heat into the room, mitigating indoor temperature fluctuations.

[0066] like Figure 7 As shown, in the sunny ventilation mode, during the day, the lower internal vent and the upper external vent are opened. The Transbryne wall absorbs solar heat through its heat-absorbing coating layer, heating the air duct cavity and creating a chimney effect to expel hot indoor air to the outside. At night, the two internal vents and two external vents are opened to enhance natural ventilation and expel the heat stored indoors and in the first phase change layer during the day to the outside.

[0067] The control strategy can be determined by various criteria, including: heating and ventilation mode determination, sunny / non-sunny day mode determination, day / night mode determination, vent opening point determination, and phase change activation device activation condition determination. The formula for determining the heating and ventilation mode is as follows:

[0068]

[0069] Among them, T out Not indoor temperature, T in The outdoor temperature is the indoor temperature. When the outdoor temperature is lower than the indoor temperature, heating mode should be activated to raise the indoor temperature. When the outdoor temperature is higher than the indoor temperature, ventilation mode should be activated to lower the indoor temperature. This method of judgment can minimize indoor temperature fluctuations and improve the comfort of people indoors.

[0070] The formula for determining whether a day is sunny or not is:

[0071]

[0072] in, The daily average solar radiation intensity is used. This is compared to a preset first solar radiation intensity to determine if the current day is sunny. For example, with a preset first solar radiation intensity of 100W / ㎡, a sunny day is determined when the daily average solar radiation intensity is greater than 100W / ㎡, and a cloudy day is determined when the daily average solar radiation intensity is less than 100W / ㎡. 100W / ㎡ is used as the standard because this value covers most people's intuitive perception of a sunny day. Furthermore, 100W / ㎡ is more suitable for the application of phase change Transformer walls. When the daily average solar radiation intensity is greater than 100W / ㎡, the phase change Transformer wall can switch to a sunny-day heating mode or a sunny-day ventilation mode to adjust the indoor temperature.

[0073] The formula for determining day / night mode is:

[0074]

[0075] Among them, S h This refers to the hourly solar radiation intensity. The hourly solar radiation intensity is compared with a preset second solar radiation intensity to determine whether it is currently daytime. Taking a preset second solar radiation intensity of 0 W / m² as an example: when the hourly solar radiation intensity is greater than 0 W / m², it is determined to be daytime. When the hourly solar radiation intensity is less than 0 W / m², it is determined to be nighttime.

[0076] The formula for determining the opening point of the ventilation vent is:

[0077]

[0078] Among them, Tair This refers to the air temperature inside the duct cavity. When the difference between the air temperature inside the duct cavity and the indoor temperature is greater than 2°C, it is determined that the current mode is heating, and both internal vents should be opened. When the difference between the air temperature inside the duct cavity and the indoor temperature is less than 2°C, it is determined that the current mode is ventilation, and the upper internal vent should be closed.

[0079] The formula for determining the activation conditions of a phase change activation device is:

[0080]

[0081] Among them, T actual T represents the current temperature. PCM This refers to the temperature of the second phase change layer. If the current temperature is lower than the temperature of the second phase change layer, the second phase change layer needs to be heated. If the current temperature is higher than the temperature of the second phase change layer, the second phase change layer needs to be cooled.

[0082] After sending the control strategy to the control unit, the control strategy can be trained online, such as... Figure 11 As shown, the training method may include steps S401 to S402.

[0083] Step S401: Record real-time environmental data and operating status data during the execution of the control strategy, and calculate the solar photovoltaic utilization rate of the control strategy.

[0084] Step S402: Online training is performed on the method of minimizing the heating energy consumption compliance rate under the control strategy and the method of predicting the control strategy for optimization objectives.

[0085] This method continuously optimizes the control strategy based on actual data by minimizing the heating energy consumption compliance rate and maximizing the solar photovoltaic utilization rate, thereby achieving more efficient energy utilization and more precise control effects. This online training requires no manual intervention and allows the system to automatically adapt to environmental differences. As the operating time increases, the more actual data the system accumulates, the more closely the optimized control strategy matches the real-world scenario, thus ensuring indoor comfort while significantly reducing energy consumption.

[0086] In some optional embodiments, after online training of the predictive control strategy, rolling training optimization can be performed, repeating the online training steps to form a periodic closed-loop training, continuously optimizing the control strategy for the phase-change Transbryne wall. The continuously optimized control strategy is closer to the user's actual needs, allowing the user to obtain a better room temperature experience.

[0087] The formula for calculating the minimum heating energy consumption compliance rate can be:

[0088]

[0089] Among them, Q Min Let P be the minimum daily energy consumption value within a single month, t be the minimum heating energy consumption compliance rate, and Q be the number of days in the month. actual This represents the actual heating energy consumption for the current month. By combining the collected lowest daily energy consumption value within a single month with the actual heating energy consumption for the current month, the minimum heating energy consumption compliance rate can be obtained.

[0090] The formula for maximizing solar photovoltaic utilization can be:

[0091]

[0092] Where N is the solar photovoltaic utilization rate, P activate Q is the rated power of the phase change layer activation device, T is the activation time of the phase change layer activation device, and Q is the activation time of the phase change layer activation device. power To store electricity for photovoltaic power units.

[0093] In some alternative embodiments, the step of predicting control strategies can be accomplished by a machine learning model. The preprocessed periodic feature data is input into a Long Short-Term Memory (LSTM) time series model using a trained machine learning model to predict environmental data, operational status data, and control strategies for subsequent time periods.

[0094] Therefore, those skilled in the art should recognize that although numerous exemplary embodiments of the present invention have been shown and described in detail herein, many other variations or modifications conforming to the principles of the present invention can be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Thus, the scope of the present invention should be understood and construed as covering all such other variations or modifications.

[0095] Unless otherwise expressly specified and limited, the terms "installation," "connection," "linking," "fixing," and "setting," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise expressly limited. Those skilled in the art should be able to understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0096] Unless otherwise specified, all terms used in the description of this disclosure (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0097] In the description of this disclosure, references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0098] Those skilled in the art should understand that the embodiments described below are merely a part of the embodiments of the present invention, and not all of the embodiments of the present invention. These partial embodiments are intended to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention. Based on the embodiments provided by the present invention, all other embodiments obtained by those skilled in the art without creative effort should still fall within the scope of protection of the present invention.

Claims

1. A phase-change Transbryne wall based on intelligent predictive control, characterized in that... include: Structural insulation layer; The first phase change layer is disposed on the outside of the thermal insulation layer of the structure; The second phase change layer is disposed inside the thermal insulation layer of the structure; A heat-absorbing coating layer is disposed on the outside of the first phase change layer to absorb heat from solar radiation; A phase change activation device is respectively disposed in the first phase change layer and the second phase change layer; A ventilation device for controlled heat exchange of gases within the phase-change Transformer wall; The control unit is connected to the phase change activation device and the ventilation device respectively, and is configured to adjust the state of the phase change activation device and / or the ventilation device to achieve indoor temperature regulation in multiple modes; Glass panels are spaced apart on the outside of the heat-absorbing coating layer to transmit solar radiation; An air duct cavity is disposed between the heat-absorbing coating layer and the glass panel to form a sealed layer to isolate the outdoor environment from the indoor environment. A photovoltaic power unit is used to provide electrical energy to the control unit; wherein, The photovoltaic power unit includes: Solar photovoltaic panels, installed on top of the Transbry wall, are used to convert absorbed solar energy into electrical energy for the control unit. A storage battery is installed at the top of the air duct cavity to store electrical energy; The ventilation device includes: Two internal ventilation openings are located on the upper and lower sides of the insulation layer of the structure and are configured to be opened and closed in a controlled manner. Two external ventilation openings are located on the upper and lower sides of the glass panel and are configured to be opened and closed in a controlled manner. Furthermore, the two internal vents and the two external vents are configured to be controlled by the control unit to form multiple ventilation states.

2. The phase transition Transition Transition Wall based on intelligent predictive control according to claim 1, characterized in that, The first phase change layer and the second phase change layer are phase change gypsum board panels composed of phase change microcapsules and gypsum, wherein the phase change microcapsules are paraffin wax. The phase transition temperature of the first phase transition layer is 24±2℃, and the phase transition temperature of the second phase transition layer is 18±2℃.

3. A control method for a phase transition Transition Transition wall based on intelligent predictive control, used to control the phase transition Transition Transition wall based on intelligent predictive control as described in any one of claims 1-2, characterized in that, The method includes: Acquire environmental and operational status data; The environmental data and operational status data are preprocessed, and the preprocessing steps include cleaning the environmental data and operational status data with historical data and then extracting periodic feature data that changes over time. Predictive control strategies based on the periodic characteristic data; Execute the control strategy.

4. The control method for the phase-change Transition Transition wall based on intelligent predictive control according to claim 3, characterized in that, The step of predicting the control strategy based on the periodic feature data includes: Determine whether the current daily average solar radiation intensity is greater than the preset first solar radiation intensity; If the current average daily solar radiation intensity is greater than the preset first solar radiation intensity, then determine whether the indoor air temperature is greater than the outdoor air temperature. When the indoor air temperature is greater than the outdoor air temperature, the control strategy is sunny day heating mode; When the indoor air temperature is lower than the outdoor air temperature, the control strategy is a sunny ventilation mode. If the current average daily solar radiation intensity is less than the preset first solar radiation intensity, then determine whether the indoor air temperature is greater than the outdoor air temperature. When the indoor air temperature is greater than the outdoor air temperature, the control strategy is the non-sunny day heating mode. When the indoor air temperature is lower than the outdoor air temperature, the control strategy is a non-sunny day ventilation mode.

5. The control method for the phase-change Transition Transition wall based on intelligent predictive control according to claim 4, characterized in that, The sunny heating mode is as follows: open two internal ventilation openings during the day and close two internal ventilation openings at night; The sunny ventilation mode is as follows: during the day, the lower inner ventilation opening and the upper outer ventilation opening are opened, and at night, two inner ventilation openings and two outer ventilation openings are opened. The non-sunny day heating mode is as follows: close the two internal ventilation openings; turn on the phase change activation device to heat the second phase change layer; The non-sunny day ventilation mode is as follows: open two internal ventilation openings and two external ventilation openings, and activate the phase change activation device to cool the second phase change layer.

6. The control method for the phase-change Transition Transition wall based on intelligent predictive control according to claim 3, characterized in that, This includes sending the control strategy to the control unit, and after this step, it further includes: Record real-time environmental data and operating status data during the execution of the control strategy, and calculate the solar photovoltaic utilization rate of the control strategy; The predictive control strategy is trained online based on the optimization objectives of minimizing the heating energy consumption compliance rate and maximizing the solar photovoltaic utilization rate under the control strategy.

7. The control method for the phase-change Transition Transition wall based on intelligent predictive control according to claim 6, characterized in that, The optimization objectives include: The formula for maximizing solar photovoltaic utilization is as follows: Where N is the solar photovoltaic utilization rate, P activate Q is the rated power of the phase change layer activation device, T is the activation time of the phase change layer activation device, and Q is the activation time of the phase change layer activation device. power To store electricity for photovoltaic power units.

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