Underground building space interface energy regulation method and system based on data processing

Abstract

The application discloses an underground building space interface energy regulation method and system based on data processing, and the method comprises the following steps: generating an initial design scheme of an underground building space interface according to design parameters including the type of the underground building space interface; calculating the underground building space performance index of the initial design scheme, and performing underground building space performance evaluation on the initial design scheme by referring to preset underground building space performance indexes; performing multi-target space performance oriented space interface optimization design on the initial design scheme that fails to meet the evaluation standard, to generate an optimized design scheme of the underground building space interface; and performing underground building space performance evaluation on the optimized design scheme, and outputting the optimized design scheme of the underground building space interface that meets the evaluation standard. The application realizes the optimization design of the underground building space interface, comprehensively optimizes the natural lighting, natural ventilation and energy consumption performance of the underground building, and improves the environmental quality and energy utilization efficiency of the underground space.

Description

Technical Field

[0001] The present invention belongs to the technical field of environmental control of underground building spaces, and in particular relates to a method and system for controlling interface energy of underground building spaces based on data processing. Background Art

[0002] As a new dimension of urban development, underground space is a key approach to addressing urbanization and achieving sustainable development. However, compared to above-ground space, underground space possesses unique spatial and environmental characteristics that, to a certain extent, influence people's psychological perceptions. To create a comfortable underground space environment, active systems centered around equipment are widely used, but these consume significant amounts of energy.

[0003] Data indicates that nearly 90% of energy consumption in underground buildings is for heating, cooling, ventilation, and lighting loads. Therefore, the primary reason for this energy use is to provide three energy-related building services: lighting (visual and thermal comfort), ventilation (indoor air quality and thermal comfort), and service equipment (service facilities such as vertical transportation equipment).

[0004] To balance energy consumption and indoor comfort, underground buildings require careful design of natural lighting and ventilation, ensuring neither too little nor too much. While existing building energy-saving technologies primarily focus on energy-efficient designs for surface buildings, such as offices and commercial buildings, and while some progress has been made, relatively little research has focused on underground spaces.

[0005] Existing building energy-saving technologies mainly focus on the following aspects:

[0006] (1) Natural lighting design: Natural light is introduced by adding skylights, light pipes, etc., but these methods are more limited when used in underground spaces.

[0007] (2) Natural ventilation design: Increase the ventilation volume of underground space by designing ventilation shafts, ventilation ducts, etc., but it also faces space and structural limitations.

[0008] (3) Energy consumption optimization research: Multi-objective optimization methods are used to seek a balance between building environmental comfort and energy consumption, but they are usually only targeted at specific building types or environmental conditions and lack globality and universality.

[0009] As a crucial medium for the exchange of matter, energy, and information between buildings and the natural environment, spatial interfaces have the most direct impact on building performance. Through this direct connection with nature, spatial interfaces can leverage renewable energy (such as solar and wind energy) and the natural environment to improve the building's microclimate and enhance indoor comfort. Therefore, the architect's treatment of architectural spatial interfaces is crucial during the design process.

[0010] In the context of sustainable development, performance-oriented underground public building interface design is undergoing a paradigm shift, from a focus on form and aesthetics to a balance between form, aesthetics, and performance, creating a low-energy yet high-quality living environment for residents. Due to the unique environmental characteristics of underground buildings, higher requirements are placed on the applicability of existing technologies.

[0011] Existing building energy-saving technologies are mainly limited in the following aspects:

[0012] (1) From the perspective of research objects, existing technologies lack an in-depth understanding and systematic research on the characteristics of underground building spaces. Currently, research on building performance is mostly focused on ground buildings such as office buildings and commercial buildings. Research on the performance of single-building underground spaces is in urgent need of supplementation.

[0013] (2) From the perspective of research content, existing technologies lack customized energy control strategies for the interface characteristics of underground building spaces. Currently, research on urban underground space design is more focused on a few popular aspects, such as natural lighting design and natural ventilation design of underground spaces. There is less comprehensive research on the physical environmental performance and energy consumption of natural lighting, natural ventilation, etc. However, while paying attention to the fact that natural lighting and natural ventilation can improve environmental quality, we should also pay attention to the impact of natural lighting and natural ventilation on building energy consumption. Therefore, quantitative research on the relationship between relevant parameters and performance in the building design stage needs to be improved.

[0014] (3) From the perspective of research methods, existing energy-saving technologies mostly focus on a single performance indicator and lack a multi-objective optimization method that comprehensively considers natural lighting, ventilation, and energy consumption. In current quantitative research, although many scholars have used multi-objective optimization methods to seek the optimal balance between comfort and energy consumption in building environmental comfort and energy saving, research on the influence mechanism of multiple parameters under global changes is still insufficient. Building performance is a complex system in which multiple factors influence each other. The mechanism of the action of multiple parameters under global changes is closer to the actual situation of the building. Therefore, the performance influence mechanism under global changes needs to be supplemented. Summary of the Invention

[0015] Based on this, the present invention aims to provide a method and system for energy control of underground building space interface based on data processing, so as to realize the optimized design of underground building space interface, comprehensively optimize the natural lighting, natural ventilation and energy consumption performance of underground buildings, and improve the environmental quality and energy utilization efficiency of underground space.

[0016] In order to solve the above technical problems and achieve the above technical effects, the present invention is implemented through the following technical solutions:

[0017] A method for controlling underground building space interface energy based on data processing, comprising the following steps:

[0018] S100, generating an initial design scheme for the underground building space interface based on design parameters including the underground building physical boundary and the underground building space interface type;

[0019] S200, calculating the underground building space performance index of the initial design scheme, and referring to the preset underground building space performance index, performing underground building space performance evaluation on the initial design scheme;

[0020] S300, directly outputting the initial design scheme that meets the evaluation standards, or performing multi-objective spatial performance-oriented spatial interface optimization design on the initial design scheme that does not meet the evaluation standards, to obtain a multi-objective optimization design strategy for the underground building space interface;

[0021] S400, modifying corresponding design parameters of the initial design scheme according to the underground building space interface type selected in the multi-objective optimization design strategy, and generating an optimized design scheme for the underground building space interface;

[0022] S500, calculating the underground building space performance index of the optimized design scheme, and referring to the preset underground building space performance index, performing underground building space performance evaluation on the optimized design scheme;

[0023] S600: Output the optimized design scheme of the underground building space interface that meets the evaluation standards, or perform spatial performance optimization again on the optimized design scheme that does not meet the evaluation standards.

[0024] Furthermore, according to the scale type attribute, the underground building space interface type is divided into a three-dimensional interface and a plane interface;

[0025] The types of the three-dimensional interface include courtyard space type three-dimensional interface, atrium space type three-dimensional interface, and well space type three-dimensional interface; wherein,

[0026] The courtyard space type three-dimensional interface includes a sunken square and a sunken courtyard;

[0027] The hoistway space type three-dimensional interface includes a ventilation tower, a light well, a solar chimney and a tunnel wind;

[0028] The types of the plane interface include roof-type plane interface and facade-type plane interface; wherein,

[0029] The roof-type plane interface includes a skylight and a double-layer glass roof;

[0030] The facade plane interface includes side windows and double-layer glass curtain walls.

[0031] Furthermore, the underground building space interface type is obtained using the following method:

[0032] First, the spatial interface morphologies of existing urban underground buildings are classified. Then, the commonly used underground building spatial interface morphologies are screened through cluster analysis. Then, through abstraction and refinement, the representative underground building spatial interface morphological characteristics are captured. Finally, through data integration, an underground building spatial interface morphology database is constructed, which allows architects to choose the required underground building spatial interface type when formulating design plans.

[0033] Furthermore, the underground building space performance indicators include:

[0034] 1) Natural lighting comfort evaluation index;

[0035] 2) Ventilation quality evaluation indicators;

[0036] 3) Thermal comfort evaluation index;

[0037] 4) Energy performance evaluation indicators.

[0038] Furthermore, the specific steps of the multi-objective spatial performance-oriented spatial interface optimization design are as follows:

[0039] With the support of the mapping relationship between underground building space interface types and underground building space performance indicators established by the data-driven model, the underground building physical model inverts the underground building space interface type parameters according to the preset underground building space performance indicator parameters, obtains the underground building space interface type parameters after reverse optimization, and thus generates the optimization design strategy for the underground building space interface;

[0040] The underground building physical model performs a multi-objective satisfaction evaluation on the generated optimization design strategy. Specifically, when the underground building space interface type in the optimization design strategy is adopted, the various underground building space performance indicators of the underground building physical model are first calculated. Then, the performance indicators are compared with the preset underground building space performance indicators, thereby evaluating the satisfaction of the generated optimization design strategy in achieving the multiple underground building space performance indicators, so as to determine whether the optimization design strategy needs further optimization.

[0041] If the evaluation is satisfactory, the generated optimization design strategies are directly integrated to generate a multi-objective underground building space interface optimization design strategy and output it;

[0042] If the evaluation is unsatisfactory, the generated optimization design strategy will be optimized twice through the multi-objective optimization inverse solution method. Specifically, the optimization target is first determined, that is, the underground building space performance index parameters that need to be optimized and adjusted are reset, and then the optimization target is reversely converted into optimized factors through the Bayesian method, that is, the underground building space interface type parameters corresponding to the reset underground building space performance index parameters are obtained, and the optimization design strategy after secondary optimization is generated. Finally, the optimization design strategies after secondary optimization are integrated to generate a multi-objective underground building space interface optimization design strategy and output it.

[0043] Furthermore, the data-driven model establishes a mapping relationship between underground building space interface types and underground building space performance indicators in the following manner:

[0044] First, the influencing factors in the design of underground buildings, that is, the underground building space interface type, are taken as the input of the physical model; the focus target in the design of underground buildings, that is, the underground building space performance index, is taken as the output of the physical model; then, by exploring the explicit or implicit mathematical expression method between the input and output, a positive mathematical relationship including linear expressions and implicit grids is established between the input and output.

[0045] Furthermore, the underground building physical model is corrected using a model correction method based on measured data, the specific method is as follows:

[0046] First, data monitoring is carried out on real underground buildings to collect energy consumption data and environmental data generated during the operation of real underground buildings. Then, the collected energy consumption data and environmental data are used to correct the parameters of the physical model of the underground building to make it more accurate.

[0047] Furthermore, the data-driven model is corrected by a model correction method based on an optimization objective, and the specific method is as follows:

[0048] First, the optimized elements are obtained, that is, the underground building space interface type parameters obtained by optimizing the underground building physical model are obtained, and then the obtained optimized elements are converted into optimization targets through the Bayesian method, that is, the underground building performance index parameters corresponding to the optimized underground building space interface type parameters are obtained, and then the calculated optimization targets are used to correct the parameters of the data-driven model.

[0049] Furthermore, the optimized design scheme is output in a visual form, and the output optimized design scheme includes a displayable underground building space interface model, and reveals the effectiveness and contribution of different single underground building space interface technical means and the combination of multiple underground building space interface technical means.

[0050] A system for energy control of underground building space interfaces based on data processing, wherein the main body of the system is a performance-oriented underground building space interface design framework;

[0051] The underground building space interface design framework is constructed by a design scheme generation module, a scheme space performance evaluation module, a scheme space performance optimization module and an optimized design scheme output module; wherein,

[0052] The design scheme acquisition module is responsible for acquiring design parameters of the underground building to be constructed, wherein the design parameters include the physical boundary of the underground building and the type of the underground building space interface, and generating an initial design scheme of the underground building space interface based on the acquired design parameters;

[0053] The scheme space performance evaluation module is responsible for obtaining the preset underground building space performance index, calculating the underground building space performance index of the initial design scheme, and then comparing the two to evaluate the underground building space performance of the initial design scheme;

[0054] The underground building space performance indicators include natural lighting comfort evaluation indicators, ventilation quality evaluation indicators, thermal comfort evaluation indicators and energy performance evaluation indicators;

[0055] The scheme space performance optimization module is responsible for performing multi-objective space performance-oriented space interface optimization design on the initial design scheme that fails to meet the evaluation standards, thereby obtaining a multi-objective optimization design strategy for the underground building space interface;

[0056] The solution space performance optimization module includes two parts: underground building physical model and data driven model;

[0057] The underground building physical model is responsible for reversely optimizing the underground building space interface type using preset underground building space performance indicators, thereby generating an optimized design strategy for the underground building space interface, and then performing a multi-objective satisfaction evaluation on the optimized design strategy to evaluate the satisfaction of the generated optimized design strategy in achieving multiple underground building space performance indicators; integrating the optimized design strategies with satisfactory evaluations and generating a multi-objective underground building space interface optimized design strategy, and then outputting it; performing a secondary optimization on the optimized design strategies with unsatisfactory evaluations, and then integrating the generated secondary optimized optimized design strategies and generating a multi-objective underground building space interface optimized design strategy, and then outputting it;

[0058] The data-driven model includes a mapping relationship between underground building space interface types and underground building space performance indicators, as well as a model correction method based on measured data and a model correction method based on optimization objectives;

[0059] The mapping relationship is a forward mathematical relationship between the underground building space interface type and the underground building space performance index, including a linear expression and an implicit grid, which provides support for the reverse optimization of the underground building physical model;

[0060] The model correction method based on the optimization objective is to convert the underground building space interface type parameters obtained by optimizing the underground building physical model into corresponding underground building performance index parameters through the Bayesian method, and perform parameter correction on the data-driven model;

[0061] The multi-objective optimization inverse solution method is to reversely convert the reset underground building space performance index parameters into corresponding underground building space interface type parameters through the Bayesian method, thereby providing support for the secondary optimization of the optimization design strategy of the underground building physical model;

[0062] The optimization design scheme output module is responsible for outputting the optimization design scheme in a visual form, and the output optimization design scheme includes a displayable underground building space interface model, and reveals the effectiveness and contribution of different single underground building space interface technical means and the combination of multiple underground building space interface technical means.

[0063] A computer device includes: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus, and the memory is used to store at least one executable instruction, which enables the processor to perform operations corresponding to the above-mentioned underground building space interface energy control method based on data processing.

[0064] A computer-readable storage medium stores at least one executable instruction, which enables a processor to execute operations corresponding to the above-mentioned underground building space interface energy control method based on data processing.

[0065] Compared with the prior art, the present invention has the following beneficial effects:

[0066] 1. The present invention can effectively reduce the energy consumption of underground buildings and improve energy utilization efficiency by optimizing the spatial interface design of underground buildings.

[0067] 2. The present invention utilizes natural lighting and natural ventilation to improve the environmental quality in underground building spaces and enhance the comfort and health of underground building spaces.

[0068] 3. The present invention can reduce the economic burden caused by high energy consumption of urban underground buildings and reduce the operating costs of urban underground buildings.

[0069] 4、 The underground building design can be provided with scientific and systematic decision support, and operability and flexibility of the underground building design are enhanced.

[0070] In summary, the underground building space interface energy regulation is researched and innovated in a systematic way, and a global optimization method is provided, which mainly uses data processing technology, mines the explicit or implicit mathematical expression method between the underground building space interface type (input) and the underground building space performance (output), establishes a mathematical model for reverse optimization, and realizes the energy regulation of the underground building space interface under the comprehensive consideration of various design parameters and performance indexes, so that the energy utilization efficiency and indoor comfort of the underground building can be significantly improved, and the underground building has important social, economic and technical values.

[0071] The above description is only a summary of the technical scheme of the present application, in order to more clearly understand the technical means of the application, and the content of the specification can be implemented, the following will be described in detail with the preferred embodiments of the present application and the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0072] The drawings described herein are used to provide further understanding of the present application, and form a part of the present application, the schematic embodiments of the present application and the description thereof are used to explain the present application, and do not constitute an improper limitation on the present application. In the drawings:

[0073] Figure 1 The system block diagram of the underground building space interface energy regulation system based on data processing of the present application. DETAILED DESCRIPTION

[0074] The preferred embodiments of the present application will be described in detail below with reference to the accompanying drawings, so as to more clearly understand the purposes, characteristics and advantages of the present application. It should be understood that the embodiments shown in the drawings are not a limitation on the scope of the present application, but only to illustrate the essential spirit of the technical scheme of the present application.

[0075] In the following description, certain specific details are set forth in order to provide a thorough understanding of various disclosed embodiments. However, one skilled in the relevant arts will recognize that embodiments can be practiced without one or more of the specific details, or with other methods, components, materials, and so forth. In other instances, well-known structures, structures, and processes associated with the present application are not shown or described in order to avoid obscuring embodiments.

[0076] Unless the context clearly requires otherwise, throughout the description and the claims, the words "comprise", "comprising", and the like are to be construed in an open, non- limiting sense, as meaning "including, but not limited to".

[0077] Reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, the appearances of "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any manner in one or more embodiments.

[0078] As used in this specification and the appended claims, the singular forms "a," "an," and "the" include plural referents unless the context clearly dictates otherwise. It should be noted that the term "or" is generally employed in its sense including "and / or" unless the context clearly dictates otherwise.

[0079] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0080] See also Figure 1 As shown, this invention provides a method for controlling underground building space interface energy based on data processing. This method addresses the current challenges of underground public buildings (limited natural lighting and ventilation, high energy consumption, etc.) and focuses on parameters influencing underground building space performance. By combining theoretical analysis, physical and mathematical modeling, simulation optimization, and experimental testing, this method investigates how to optimize, predict, and select measures for building performance through energy-saving strategies during the design phase.

[0081] The underground building space interface energy control method based on data processing of the present invention specifically includes the following steps:

[0082] S100. Generate an initial design scheme for the underground building space interface based on design parameters including the underground building physical boundary and the underground building space interface type.

[0083] The present invention adopts a method combining literature research and field investigation to study the spatial interface of underground public buildings, and is based on several common spatial types with passive regulation functions in underground public buildings.

[0084] Therefore, the present invention divides underground building space interface types into two categories: "three-dimensional interface" and "plane interface" according to the scale type attributes of the underground building space interface.

[0085] The types of 3D interfaces include courtyard space, atrium space, and shaft space. The courtyard space can be further divided into sunken plazas and sunken courtyards, while the shaft space can be further divided into ventilation towers, light wells, solar chimneys, and underground wind tunnels.

[0086] The types of the plane interface include a roof type plane interface and a facade type plane interface. The roof type plane interface can be divided into a skylight and a double-layer glass roof, and the facade type plane interface can be divided into a side window and a double-layer glass curtain wall.

[0087] In addition, the underground public building space interface prototype is analyzed to obtain a large number of underground building space interface type parameters mentioned above. Specifically, first, the existing urban underground building space interface form is classified, then the commonly used underground building space interface form is screened through cluster analysis, then the representative underground building space interface form characteristics are captured through abstraction and refinement, and finally the underground building space interface form database is constructed through data integration to provide the architect with the underground building space interface type required to be set when formulating the design scheme.

[0088] S200, calculate the underground building space performance index of the initial design scheme, and refer to the preset underground building space performance index to evaluate the underground building space performance of the initial design scheme.

[0089] The goal of this step is to determine the performance of different design schemes under different underground building space performance indexes, such as natural lighting, natural ventilation, energy consumption, etc. According to the underground building space performance evaluation result, it can be judged whether the existing design scheme meets the expected target or needs to be further optimized.

[0090] The evaluation methods of building performance are various, and the indexes used are mainly divided into four categories: natural lighting comfort evaluation index, natural ventilation quality evaluation index, thermal comfort evaluation index and energy performance evaluation index. Therefore, the four indexes are also used to evaluate the underground building space performance. Among them,

[0091] (1) Natural lighting comfort evaluation index;

[0092] The current daylighting evaluation of indoor light environment can be divided into static evaluation indicators and dynamic evaluation indicators. Static evaluation indicators include daylight factor (DF), illuminance, and daylight uniformity, which are the evaluation standards for current building daylighting design in China. However, compared with static evaluation indicators, which can only describe the light environment quality at a certain moment, dynamic evaluation indicators can comprehensively measure the light environment within a certain period of time. Dynamic evaluation indicators include Daylight Autonomy (DA), Spatial Daylight Autonomy (sDA), Useful Daylight Illuminance (UDI), and Annual Sunlight Exposure (ASE), which represent a continuous process and can more accurately reflect the actual changes of indoor light environment. In addition, some scholars have proposed a new evaluation indicator, Daylight Availability (DAv), which integrates the two evaluation indicators of daylight factor and useful daylight illuminance.

[0093] In addition, glare is also crucial for evaluating visual comfort, and its indicators include Daylight Glare Index (DGI), Daylight Glare Probability (DGP), Visual Comfort Probability (VCP), and Visual Comfort Availability (VCA). ASE can also be used to indicate a higher risk of glare. However, it measures whether there is sunlight through the horizontal illuminance grid per hour per year rather than luminance measurement.

[0094] (2) Ventilation quality evaluation indicators;

[0095] Wind speed, air change per hour (ACH), and air age are the most commonly used indicators to measure ventilation effectiveness and estimate natural ventilation performance. In addition, to predict natural ventilation performance, some scholars have proposed some specific customized indicators. For example, the Pressure Difference Pascal Hours (PDPH), Climatic Cooling Potential (CCP), and Ventilation Performance Indicator (VPI) are used for wind pressure ventilation and thermal pressure ventilation evaluation, respectively.

[0096] (3) Thermal comfort evaluation index;

[0097] Factors that affect human thermal comfort include individual and environmental factors. Individual factors include human activity, metabolic rate and clothing thermal resistance, while environmental factors mainly include air temperature, air velocity, relative humidity and mean radiant temperature.

[0098] Although air temperature significantly influences human thermal regulation, other factors and their interactions also significantly impact the thermal balance of the human response system. In the early 20th century, researchers attempted to comprehensively analyze the impact of various physical factors on thermal comfort. Based on different evaluation methods, they proposed various evaluation indices, such as the Predicted Mean Vote-Predicted Percentage Dissatisfied (PMV-PPD) method, Thermal Comfort Availability (TCA), and Adaptive Thermal Comfort (ATC). The PMV-PPD method incorporates additional indicators, such as air temperature, mean radiant temperature, air velocity, relative humidity, metabolic rate, and clothing thermal resistance. Furthermore, TCA emphasizes that the percentage of occupied hours meeting the desired comfort level must be less than ten percentage points. ATC, on the other hand, focuses on the adaptability of indoor comfort.

[0099] (4) Energy performance evaluation indicators;

[0100] Energy performance indicators typically involve various expressions (such as load, demand, energy savings, energy use, energy consumption, and electricity) and time steps (peak, annual, monthly, daily, or hourly). Building load, annual load, and Energy Use Intensity (EUI) are widely used to calculate energy consumption.

[0101] Since most studies tend to select a few dimensions rather than a comprehensive set of indicators to evaluate building performance, this paper prioritizes the most commonly used performance evaluation indicators when evaluating underground building space performance: autonomous daylighting valve (DA), daylight glare probability (DGP), air velocity, air changes per hour (ACH), and annual load.

[0102] 1. The calculation formula of autonomous daylight valve DA is as follows:

[0103] (1);

[0104] In formula (1), t i Indicates the usable time (h), N trepresents the time step, I avail Indicates available natural light (lux), I limit Indicates the illumination threshold, wf i Represents the weighting factor (depending on the illumination threshold).

[0105] 2. The calculation formula for daytime glare probability DGP is as follows:

[0106] (2);

[0107] In formula (2), E v Indicates vertical illuminance (lux), L s Indicates the brightness of the glare source (cd / m 2 ), ω represents the solid angle of the glare source, and P represents the position index.

[0108] 3. The calculation formula of air flow rate is as follows:

[0109] (3);

[0110] In formula (3), Q represents the cross-sectional area (m 2 ), Indicates the average speed (m / s).

[0111] 4. The calculation formula for air changes per hour ACH is as follows:

[0112] (4);

[0113] In formula (4), V represents the ventilation volume generated by natural ventilation (m 3 / s), vol represents the room volume (m 3 ), v represents the velocity of air flowing through the window (m / s), F represents the area of ​​the window (m 2 ).

[0114] 5. The calculation formula for annual load is as follows:

[0115] (5);

[0116] In formula (5), L represents the building load (w), Le represents the load generated by heat transfer from the building envelope (w), Ls represents the load generated by solar radiation entering the room through the building envelope (w), Li represents the load generated by cold air infiltration (w), and Lo represents the load generated by heat dissipation by people or equipment inside the building (w).

[0117] In formula (5), Ls and Lo are positive throughout the year, while Le and Li can be positive or negative due to changes in outdoor temperature and humidity between winter and summer. Building energy consumption generally refers to the energy used by building heating, air conditioning, lighting, and other systems. Its size depends not only on the building load but also on the system operating time. That is, building energy consumption is a function of building load and time:

[0118] (6);

[0119] In formula (6), E represents building energy consumption (Wh) and T represents time (h).

[0120] As can be seen from equations (5)-(6), the key to reducing energy consumption during the building operation phase lies in reducing building loads and shortening energy consumption time through effective design. For underground public buildings, optimizing the design of spatial interfaces and improving natural lighting and ventilation in underground buildings can reduce the use time of artificial lighting and air-conditioning equipment, thereby reducing the building's heat load and conventional energy consumption. In addition, as can be seen from equations (1)-(4), design variables such as the window-to-wall ratio (WWR) have a significant impact on the performance of underground buildings.

[0121] S300: If the underground building space performance evaluation of the initial design scheme meets the standards, the initial design scheme is directly output. If the underground building space performance evaluation of the initial design scheme does not meet the standards, a multi-objective spatial performance-oriented spatial interface optimization design is performed on the initial design scheme to obtain a multi-objective optimization design strategy for the underground building space interface.

[0122] The specific steps of multi-objective spatial performance-oriented spatial interface optimization design are as follows:

[0123] 1) With the support of the mapping relationship between underground building space interface types and underground building space performance indicators established by the data-driven model, the underground building space interface type parameters are inverted according to the preset underground building space performance indicator parameters using the modified underground building physical model to obtain the underground building space interface type parameters after reverse optimization, thereby generating an optimized design strategy for the underground building space interface.

[0124] The method of the present invention for establishing a mapping relationship between underground building space interface types and underground building space performance indicators is as follows: first, the influencing factors when designing underground buildings, that is, the underground building space interface types, are used as the input of the physical model; the focus targets when designing underground buildings, that is, the underground building space performance indicators, are used as the output of the physical model; then, by exploring explicit or implicit mathematical expressions between the input and output, a forward mathematical relationship including linear expressions and implicit grids is established between the input and output, thereby establishing a mathematical model for reverse optimization, and then, under given spatial performance indicator parameters, the spatial interface parameters are inverted to achieve spatial performance-oriented optimization design.

[0125] The present invention adopts a model correction method based on measured data to correct the physical model of the underground building. The specific method is: first, data monitoring is performed on the actual underground building to collect the energy consumption data and environmental data generated during the operation of the actual underground building, and then the collected energy consumption data and environmental data are used to correct the parameters of the physical model of the underground building to make it more accurate.

[0126] The present invention adopts a model correction method based on optimization objectives to correct the data-driven model. The specific method is: first obtain the optimized elements, that is, obtain the underground building space interface type parameters obtained by optimizing the underground building physical model, and then use the Bayesian method to convert the obtained optimized elements into optimization objectives, that is, obtain the underground building performance index parameters corresponding to the optimized underground building space interface type parameters, and then use the calculated optimization objectives to correct the parameters of the data-driven model.

[0127] 2) The underground building physical model performs a multi-objective satisfaction evaluation on the generated optimization design strategy. Specifically, when the underground building space interface type in the optimization design strategy is adopted, the various underground building space performance indicators of the underground building physical model are first calculated, and then compared with the preset underground building space performance indicators, so as to evaluate the satisfaction of the generated optimization design strategy in achieving multiple underground building space performance indicators, so as to determine whether the optimization design strategy needs further optimization.

[0128] If the evaluation is satisfactory, the generated optimization design strategies are directly integrated to generate a multi-objective underground building space interface optimization design strategy and output it.

[0129] 4) If the evaluation is unsatisfactory, the generated optimization design strategy is optimized twice through the multi-objective optimization inverse solution method. Specifically, the optimization target is first determined, that is, the underground building space performance index parameters that need to be optimized and adjusted are reset. Then, the optimization target is reversely converted into the optimized factors through the Bayesian method, that is, the underground building space interface type parameters corresponding to the reset underground building space performance index parameters are obtained, and the optimization design strategy after secondary optimization is generated. Finally, the optimization design strategies after secondary optimization are integrated to generate a multi-objective underground building space interface optimization design strategy and output it.

[0130] S400. Modify the corresponding design parameters of the initial design scheme according to the underground building space interface type selected in the multi-objective optimization design strategy to generate an optimized design scheme for the underground building space interface.

[0131] S500. Calculate the underground building space performance index of the optimized design scheme, and perform underground building space performance evaluation on the optimized design scheme with reference to the preset underground building space performance index.

[0132] S600: Output the optimized design scheme of the underground building space interface that meets the evaluation standards, or perform spatial performance optimization again on the optimized design scheme that does not meet the evaluation standards.

[0133] The optimized design scheme is output in a visual form, and the output optimized design scheme includes a displayable underground building space interface model, and reveals the effectiveness and contribution of different single underground building space interface technical means and the combination of multiple underground building space interface technical means, for reference and application by architects and designers.

[0134] The optimized design should have high energy efficiency and good indoor environmental quality while meeting various performance objectives of the building design.

[0135] See also Figure 1 As shown, the present invention also provides a system for underground building space interface energy control based on data processing, the main body of the system is a performance-oriented underground building space interface design framework;

[0136] The underground building space interface design framework is constructed by a design scheme generation module, a scheme space performance evaluation module, a scheme space performance optimization module and an optimized design scheme output module; wherein,

[0137] The design scheme acquisition module is responsible for acquiring design parameters of the underground building to be constructed, wherein the design parameters include the physical boundary of the underground building and the type of the underground building space interface, and generating an initial design scheme of the underground building space interface based on the acquired design parameters;

[0138] The scheme space performance evaluation module is responsible for obtaining preset underground building space performance indexes, calculating underground building space performance indexes of the initial design scheme, and comparing the two to evaluate the underground building space performance of the initial design scheme;

[0139] The underground building space performance indexes include natural lighting comfort evaluation indexes, ventilation quality evaluation indexes, thermal comfort evaluation indexes, and energy performance evaluation indexes;

[0140] The scheme space performance optimization module is responsible for multi-objective space performance-oriented space interface optimization design of the initial design scheme that does not meet the evaluation, so as to obtain a multi-objective optimization design strategy of the underground building space interface;

[0141] The scheme space performance optimization module includes an underground building physical model and a data-driven model; wherein,

[0142] The underground building physical model is responsible for reverse optimization of the underground building space interface type by using preset underground building space performance indexes, thereby generating an optimization design strategy of the underground building space interface, and then performing multi-objective satisfaction degree evaluation on the optimization design strategy to evaluate the satisfaction degree of the generated optimization design strategy in achieving multiple underground building space performance indexes; after integrating the optimization design strategies that meet the evaluation and generating a multi-objective underground building space interface optimization design strategy, the optimization design strategy is output; after performing secondary optimization on the optimization design strategies that do not meet the evaluation, the optimization design strategy that is generated after the secondary optimization is integrated and a multi-objective underground building space interface optimization design strategy is generated, and then the optimization design strategy is output;

[0143] The data-driven model includes a mapping relationship between the established underground building space interface type and the underground building space performance indexes, a model correction method based on measured data, and a model correction method based on optimization objectives;

[0144] The mapping relationship is a forward mathematical relationship including a linear expression and an implicit grid established between the underground building space interface type and the underground building space performance indexes, which provides support for reverse optimization of the underground building physical model;

[0145] The model correction method based on optimization objectives is to convert the underground building space interface type parameters optimized by the underground building physical model into corresponding underground building performance index parameters by using the Bayesian method, and to perform parameter correction on the data-driven model;

[0146] The multi-objective optimization reverse solving method is to reversely convert the reset underground building space performance index parameters into corresponding underground building space interface type parameters by using the Bayesian method, thereby providing support for secondary optimization of the optimization design strategy of the underground building physical model.

[0147] The optimization design scheme output module is responsible for outputting the optimization design scheme in a visual form, and the output optimization design scheme includes a displayable underground building space interface model, and reveals the effectiveness and contribution of different single underground building space interface technical means and the combination of multiple underground building space interface technical means.

[0148] The present invention also provides a computer device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus, and the memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the above-mentioned underground building space interface energy control method based on data processing.

[0149] The present invention also provides a computer-readable storage medium, which stores at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the above-mentioned underground building space interface energy control method based on data processing.

[0150] In summary, the present invention significantly improves the energy utilization efficiency and indoor comfort of underground buildings through the optimized design of the underground building space interface and energy regulation, and has important social, economic and technical value.

[0151] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A method for controlling underground building space interface energy based on data processing, characterized in that: The following steps are involved: S100, generating an initial design scheme for the underground building space interface based on design parameters including the underground building physical boundary and the underground building space interface type; S200, calculating the underground building space performance index of the initial design scheme, and referring to the preset underground building space performance index, performing underground building space performance evaluation on the initial design scheme; S300: Directly output the initial design scheme that meets the evaluation standards, and perform multi-objective spatial performance-oriented spatial interface optimization design on the initial design scheme that does not meet the evaluation standards, thereby obtaining a multi-objective optimization design strategy for the underground building space interface; The specific steps of the multi-objective spatial performance-oriented spatial interface optimization design are as follows: With the support of the mapping relationship between underground building space interface types and underground building space performance indicators established by the data-driven model, the underground building physical model inverts the underground building space interface type parameters according to the preset underground building space performance indicator parameters, obtains the underground building space interface type parameters after reverse optimization, and thus generates the optimization design strategy for the underground building space interface; The underground building physical model performs a multi-objective satisfaction evaluation on the generated optimization design strategy. Specifically, when the underground building space interface type in the optimization design strategy is adopted, the various underground building space performance indicators of the underground building physical model are first calculated. Then, the performance indicators are compared with the preset underground building space performance indicators, thereby evaluating the satisfaction of the generated optimization design strategy in achieving the multiple underground building space performance indicators, so as to determine whether the optimization design strategy needs further optimization. If the evaluation is satisfactory, the generated optimization design strategies are directly integrated to generate a multi-objective underground building space interface optimization design strategy and output it; If the evaluation is unsatisfactory, the generated optimization design strategy is optimized twice through the multi-objective optimization inverse solution method. Specifically, the optimization target is first determined, that is, the underground building space performance index parameters that need to be optimized and adjusted are reset. Then, the optimization target is reversely converted into the optimized factors through the Bayesian method, that is, the underground building space interface type parameters corresponding to the reset underground building space performance index parameters are obtained, and the optimization design strategy after secondary optimization is generated. Finally, the optimization design strategies after secondary optimization are integrated to generate a multi-objective underground building space interface optimization design strategy and output it. The method for establishing the mapping relationship between underground building space interface types and underground building space performance indicators by the data-driven model is: First, the influencing factors in underground building design, namely the underground building space interface type, are used as the input of the physical model; the focus target in underground building design, namely the underground building space performance index, is used as the output of the physical model; then, by exploring the explicit or implicit mathematical expression method between the input and output, a positive mathematical relationship including linear expressions and implicit grids is established between the input and output; The underground building physical model is corrected using a model correction method based on measured data, and the specific method is as follows: First, data monitoring is performed on real underground buildings to collect energy consumption data and environmental data generated during the operation of the real underground buildings. Then, the collected energy consumption data and environmental data are used to modify the parameters of the underground building physical model to make it more accurate. The data-driven model is corrected by a model correction method based on an optimization objective, and the specific method is as follows: First, the optimized elements are obtained, i.e., the underground building space interface type parameters obtained by optimizing the underground building physical model are obtained. Then, the obtained optimized elements are converted into optimization targets through the Bayesian method, i.e., underground building performance index parameters corresponding to the optimized underground building space interface type parameters are obtained. Then, the calculated optimization targets are used to modify the parameters of the data-driven model. S400, modifying corresponding design parameters of the initial design scheme according to the underground building space interface type selected in the multi-objective optimization design strategy, and generating an optimized design scheme for the underground building space interface; S500, calculating the underground building space performance index of the optimized design scheme, and referring to the preset underground building space performance index, performing underground building space performance evaluation on the optimized design scheme; S600: Output the optimized design schemes for underground building space interfaces that meet the evaluation standards, and perform spatial performance optimization again on the optimized design schemes that do not meet the evaluation standards.

2. The underground building space interface energy control method based on data processing according to claim 1 is characterized in that: According to the scale type attribute, the underground building space interface type is divided into three-dimensional interface and plane interface; The types of the three-dimensional interface include courtyard space type three-dimensional interface, atrium space type three-dimensional interface, and well space type three-dimensional interface; wherein, The courtyard space type three-dimensional interface includes a sunken square and a sunken courtyard; The hoistway space type three-dimensional interface includes a ventilation tower, a light well, a solar chimney and a tunnel wind; The types of the plane interface include roof-type plane interface and facade-type plane interface; wherein, The roof-type plane interface includes a skylight and a double-layer glass roof; The facade plane interface includes side windows and double-layer glass curtain walls.

3. The underground building space interface energy control method based on data processing according to claim 1 is characterized in that: The underground building space interface type is obtained using the following method: First, the spatial interface morphologies of existing urban underground buildings are classified. Then, the commonly used underground building spatial interface morphologies are screened through cluster analysis. Then, through abstraction and refinement, the representative underground building spatial interface morphological characteristics are captured. Finally, through data integration, an underground building spatial interface morphology database is constructed, which allows architects to choose the required underground building spatial interface type when formulating design plans.

4. The underground building space interface energy control method based on data processing according to claim 1 is characterized in that: The underground building space performance indicators include: 1) Natural lighting comfort evaluation index; 2) Ventilation quality evaluation indicators; 3) Thermal comfort evaluation index; 4) Energy performance evaluation indicators.

5. The underground building space interface energy control method based on data processing according to claim 1 is characterized in that: The optimized design scheme is output in a visual form, and the output optimized design scheme includes a displayable underground building space interface model, and reveals the effectiveness and contribution of different single underground building space interface technical means and the combination of multiple underground building space interface technical means.

6. A system using the underground building space interface energy control method based on data processing according to any one of claims 1 to 5, characterized in that: The main body of the system is a performance-oriented underground building space interface design framework; The underground building space interface design framework is constructed by a design scheme generation module, a scheme space performance evaluation module, a scheme space performance optimization module and an optimized design scheme output module; wherein, The design scheme generation module is responsible for obtaining design parameters of the underground building to be constructed, wherein the design parameters include the physical boundary of the underground building and the type of the underground building space interface, and generating an initial design scheme of the underground building space interface based on the obtained design parameters; The scheme space performance evaluation module is responsible for obtaining the preset underground building space performance index, calculating the underground building space performance index of the initial design scheme, and then comparing the two to evaluate the underground building space performance of the initial design scheme; The underground building space performance indicators include natural lighting comfort evaluation indicators, ventilation quality evaluation indicators, thermal comfort evaluation indicators and energy performance evaluation indicators; The scheme space performance optimization module is responsible for performing multi-objective space performance-oriented space interface optimization design on the initial design scheme that fails to meet the evaluation standards, thereby obtaining a multi-objective optimization design strategy for the underground building space interface; The solution space performance optimization module includes two parts: underground building physical model and data driven model; The underground building physical model is responsible for reversely optimizing the underground building space interface type using preset underground building space performance indicators, thereby generating an optimized design strategy for the underground building space interface, and then performing a multi-objective satisfaction evaluation on the optimized design strategy to evaluate the satisfaction of the generated optimized design strategy in achieving multiple underground building space performance indicators; integrating the optimized design strategies with satisfactory evaluations and generating a multi-objective underground building space interface optimized design strategy, and then outputting it; performing a secondary optimization on the optimized design strategies with unsatisfactory evaluations, and then integrating the generated secondary optimized optimized design strategies and generating a multi-objective underground building space interface optimized design strategy, and then outputting it; The data-driven model includes a mapping relationship between underground building space interface types and underground building space performance indicators, as well as a model correction method based on measured data and a model correction method based on optimization objectives; The mapping relationship is a forward mathematical relationship between the underground building space interface type and the underground building space performance index, including a linear expression and an implicit grid, which provides support for the reverse optimization of the underground building physical model; The model correction method based on the optimization objective is to convert the underground building space interface type parameters obtained by optimizing the underground building physical model into corresponding underground building performance index parameters through the Bayesian method, and perform parameter correction on the data-driven model; The multi-objective optimization inverse solution method is to reversely convert the reset underground building space performance index parameters into corresponding underground building space interface type parameters through the Bayesian method, thereby providing support for the secondary optimization of the optimization design strategy of the underground building physical model; The optimization design scheme output module is responsible for outputting the optimization design scheme in a visual form, and the output optimization design scheme includes a displayable underground building space interface model, and reveals the effectiveness and contribution of different single underground building space interface technical means and the combination of multiple underground building space interface technical means.

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