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

Abstract

The invention discloses an underground building space interface energy regulation and control method and system based on data processing, and the method comprises the 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 underground building space performance indexes 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 which does not reach the standard to generate an optimization design scheme of the underground building space interface; and performing underground building space performance evaluation on the optimal design scheme, and outputting the optimal design scheme of the underground building space interface which is evaluated to reach the standard. Optimization design of an underground building space interface is achieved, natural lighting, natural ventilation, energy consumption performance and the like of the underground building are comprehensively optimized, and the environment quality and the energy utilization efficiency of the underground space are improved.

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 an important way to solve urbanization problems and achieve sustainable development. However, compared with above-ground space, underground space has unique spatial and environmental characteristics, which affect people's psychological feelings to a certain extent. In order to create a comfortable underground space environment, active systems with equipment as the core are widely used, but this consumes a lot of energy.

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

[0004] In order to balance energy consumption and indoor environmental comfort, the amount of natural lighting and ventilation in underground buildings needs to be carefully designed, neither too little nor too much. However, existing building energy-saving technologies are mostly focused on the energy-saving design of ground buildings, such as office buildings and commercial buildings, and have also made certain progress, but there are relatively few studies on underground building spaces.

[0005] Existing building energy-saving technologies are mainly concentrated in the following aspects: (1) Natural lighting design: Natural light is introduced by adding skylights, light pipes, etc., but these methods are more limited when applied in underground spaces.

[0006] (2) Natural ventilation design: Increasing the ventilation volume of underground space by designing ventilation shafts, ventilation ducts, etc., but it also faces space and structural limitations.

[0007] (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.

[0008] As an important medium for the exchange of matter, energy and information between buildings and the natural environment, the spatial interface has the most direct impact on building performance. Through direct connection with nature, the spatial interface can utilize renewable energy (such as solar energy, wind energy) and the natural environment to improve the building's microclimate and enhance indoor comfort. Therefore, in the design and creation process, it becomes crucial for architects to deal with the architectural spatial interface.

[0009] In the context of sustainable development, the performance-oriented design of underground public building space interfaces is undergoing a paradigm shift, from the pursuit of form and aesthetics to the pursuit of a balance between form, aesthetics and building performance, creating a low-energy but high-quality living environment for residents. Due to its unique environmental characteristics, underground buildings place higher demands on the applicability of existing technologies.

[0010] Existing building energy-saving technologies are mainly limited in the following aspects: (1) From the perspective of research objects, existing technologies lack an in-depth understanding and systematic research on the characteristics of underground building spaces. Current research on building performance is mostly focused on ground buildings such as office buildings and commercial buildings, and research on the performance of single-building underground spaces is in urgent need of supplementation.

[0011] (2) From the perspective of research content, existing technologies lack customized energy control strategies for the interface characteristics of underground building spaces. At present, research on urban underground space design is more focused on several popular aspects, such as natural lighting design and natural ventilation design of underground spaces, and there are few comprehensive studies on physical environmental performance and energy consumption such as natural lighting and natural ventilation. 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.

[0012] (3) From the perspective of research methods, existing energy-saving technologies focus on a single performance indicator and lack a multi-objective optimization method that comprehensively considers natural lighting, ventilation and energy consumption. In quantitative research, although many scholars have used multi-objective optimization methods to seek the optimal balance between comfort and energy consumption in building environment comfort and energy saving, the 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 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

[0013] Based on this, the present invention aims to provide an underground building space interface energy control method and system based on data processing, so as to realize the optimal design of the underground building space interface, comprehensively optimize the natural lighting, natural ventilation and energy consumption performance of the underground building, and improve the environmental quality and energy utilization efficiency of the underground space.

[0014] In order to solve the above technical problems and achieve the above technical effects, the present invention is implemented through the following technical solutions: A method for controlling underground building space interface energy based on data processing, comprising the following steps: S100, generating an initial design scheme of the underground building space interface according to design parameters including the physical boundary of the underground building and the type of the underground building space interface; S200, calculating the underground building space performance index of the initial design scheme, and referring to the preset underground building space performance index to evaluate the underground building space performance of the initial design scheme; 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; S400, modifying 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, and generating an optimization 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 to evaluate the underground building space performance of the optimized design scheme; S600: outputting an optimized design scheme for the underground building space interface that meets the evaluation standards, or re-optimizing the space performance of the optimized design scheme that does not meet the evaluation standards.

[0015] Furthermore, according to the scale type attribute, the underground building space interface type is divided into a three-dimensional interface and a 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 a double-layer glass curtain wall.

[0016] Furthermore, the underground building space interface type is obtained by the following method: Firstly, 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. Finally, the representative underground building spatial interface morphological characteristics are captured through abstraction and refinement. Finally, an underground building spatial interface morphology database is constructed through data integration, so that architects can choose the required underground building spatial interface type when formulating design plans.

[0017] Furthermore, the underground building space performance indicators include: 1) Evaluation index of natural lighting comfort; 2) Ventilation quality evaluation indicators; 3) Thermal comfort evaluation index; 4) Energy performance evaluation indicators.

[0018] Furthermore, 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 to obtain the underground building space interface type parameters after reverse optimization, thereby generating an 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, firstly calculating each underground building space performance index of the underground building physical model when the underground building space interface type in the optimization design strategy is adopted, and then comparing with the preset underground building space performance index, so as to evaluate the satisfaction of the generated optimization design strategy when achieving multiple underground building space performance indexes, so as to judge whether the optimization design strategy needs to be further optimized; 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, and then the optimization target is reversely converted into optimized elements 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 strategy after secondary optimization is integrated to generate a multi-objective underground building space interface optimization design strategy and output it.

[0019] Furthermore, the method for the data-driven model to establish a mapping relationship between underground building space interface types and underground building space performance indicators is: 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 the output, a positive mathematical relationship including linear expressions and implicit grids is established between the input and the output.

[0020] Furthermore, 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 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.

[0021] Furthermore, the data-driven model is corrected by a model correction method based on an optimization target, and the specific method is as follows: First, the optimized elements are obtained, that is, the underground building space interface type parameters obtained by optimizing the underground building physical model, 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.

[0022] 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.

[0023] A system for energy control of underground building space interface based on data processing, wherein 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 acquisition module is responsible for acquiring the design parameters of the underground building to be built, 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 according to the acquired 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 index includes natural lighting comfort evaluation index, ventilation quality evaluation index, thermal comfort evaluation index and energy performance evaluation index; 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, so as to obtain a multi-objective optimization design strategy for the underground building space interface; The spatial performance optimization module of the scheme includes two parts: the underground building physical model and the data-driven model; wherein, The underground building physical model is responsible for reversely optimizing the underground building space interface type by using the preset underground building space performance index, thereby generating an optimization design strategy for the underground building space interface, and then performing a multi-objective satisfaction evaluation on the optimization design strategy to evaluate the satisfaction of the generated optimization design strategy in achieving multiple underground building space performance indicators; integrating the optimization design strategies with satisfactory evaluations and generating a multi-objective underground building space interface optimization design strategy and then outputting it; performing a secondary optimization on the optimization design strategies with unsatisfactory evaluations, and then integrating the optimization design strategies generated after the secondary optimization and generating a multi-objective underground building space interface optimization design strategy and then outputting it; The data-driven model includes a mapping relationship between the established underground building space interface type and the underground building space performance index, 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 including a linear expression and an implicit grid established between the underground building space interface type and the underground building space performance index, which provides support for the reverse optimization of the underground building physical model; The model correction method based on the optimization target is to convert the underground building space interface type parameters obtained by optimizing the underground building physical model into the 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, so as to provide 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.

[0024] 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, wherein 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.

[0025] A computer-readable storage medium stores at least one executable instruction, and the executable instruction enables a processor to execute operations corresponding to the above-mentioned underground building space interface energy regulation method based on data processing.

[0026] Compared with the prior art, the present invention has the following beneficial effects: 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.

[0027] 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.

[0028] 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.

[0029] 4. The present invention can provide scientific and systematic decision support for underground building design, thereby enhancing the operability and flexibility of underground building design.

[0030] In summary, the present invention has systematically studied and innovated methods for energy regulation of underground building space interfaces, and provided a global optimization method. The method mainly utilizes data processing technology to explore the explicit or implicit mathematical expression methods between underground building space interface types (input) and underground building space performance (output), and establishes a mathematical model for reverse optimization. By comprehensively considering multiple design parameters and performance indicators, the energy regulation of underground building space interfaces is achieved. Therefore, the present invention can significantly improve the energy utilization efficiency and indoor comfort of underground buildings, and has important social, economic and technical value.

[0031] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings. The specific implementation of the present invention is given in detail by the following embodiments and their accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 It is a system block diagram of the underground building space interface energy control system based on data processing of the present invention. DETAILED DESCRIPTION

[0033] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings so that the purpose, features and advantages of the invention can be more clearly understood. It should be understood that the embodiments shown in the accompanying drawings are not intended to limit the scope of the present invention, but are only intended to illustrate the essential spirit of the technical solution of the present invention.

[0034] In the following description, certain specific details are set forth for the purpose of illustrating various disclosed embodiments to provide a thorough understanding of the various disclosed embodiments. However, those skilled in the relevant art will recognize that the embodiments may be practiced without one or more of these specific details. In other cases, well-known devices, structures, and techniques associated with the present application may not be shown or described in detail to avoid unnecessarily obscuring the description of the embodiments.

[0035] Unless the context requires otherwise, throughout the specification and claims, the word "comprise" and variations such as "include" and "have" should be construed in an open, inclusive sense, ie, should be interpreted as "including, but not limited to."

[0036] References throughout the specification to "one embodiment" or "an embodiment" indicate 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 the 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.

[0037] 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.

[0038] 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.

[0039] See also Figure 1 As shown, the present invention provides an underground building space interface energy control method based on data processing. This method starts from the current problems of underground public buildings (limited natural lighting and natural ventilation, high energy consumption, etc.), takes the influencing parameters of underground building space performance as the starting point, and intends to adopt a method combining theoretical analysis, physical model and mathematical model establishment, simulation calculation optimization and experimental testing to deeply study how to optimize, predict and select measures for building performance through energy-saving strategies in the design stage.

[0040] The underground building space interface energy control method based on data processing of the present invention specifically includes the following steps: S100, generating an initial design scheme for the underground building space interface according to design parameters including the physical boundary of the underground building and the type of the underground building space interface.

[0041] 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.

[0042] Therefore, the present invention divides the 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.

[0043] The types of three-dimensional interfaces include courtyard space type three-dimensional interface, atrium space type three-dimensional interface, and shaft space type three-dimensional interface. Among them, the courtyard space type three-dimensional interface can be divided into sunken square and sunken courtyard, etc.; the shaft space type three-dimensional interface can be divided into ventilation tower, light well, solar chimney and tunnel wind.

[0044] The types of plane interfaces include roof-type plane interfaces and facade-type plane interfaces. Among them, the roof-type plane interface can be divided into skylights and double-layer glass roofs; the facade-type plane interface can be divided into side windows and double-layer glass curtain walls.

[0045] In addition, the present invention obtains a large number of underground building space interface type parameters mentioned above by analyzing the prototype of underground public building space interface. The specific method is to first classify the space interface forms of existing urban underground buildings, then screen the commonly used underground building space interface forms through cluster analysis, and then capture the representative underground building space interface form characteristics through abstraction and refinement, and finally construct an underground building space interface form database through data integration, so that architects can choose the underground building space interface type they need to set when formulating design plans.

[0046] S200, calculating the underground building space performance index of the initial design scheme, and referring to the preset underground building space performance index to evaluate the underground building space performance of the initial design scheme.

[0047] The goal of this step is to determine how different design schemes perform under different underground building space performance indicators, such as natural lighting, natural ventilation, energy consumption, etc. Based on the underground building space performance evaluation results, it can be determined whether the existing design scheme meets the expected goals or needs further optimization.

[0048] There are many ways to evaluate building performance, and the indicators 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 present invention also uses the above four indicators to evaluate the performance of underground building space. Among them, (1) Evaluation index of natural lighting comfort; At present, the lighting evaluation of indoor light environment can be divided into static evaluation indicators and dynamic evaluation indicators of lighting quantity. Static evaluation indicators include daylight factor (DF), illumination, and lighting uniformity, which are the evaluation standards for current building lighting design in my country. However, compared with static evaluation indicators that can only describe the quality of the light environment at a certain moment, dynamic evaluation indicators can comprehensively measure the light environment within a certain period of time. Dynamic evaluation indicators include autonomous daylight valve (DA), spatial daylight autonomy (sDA), useful daylight illuminance (UDI), annual sunshine hours (ASE), etc., which represent a continuous process and can more accurately reflect the actual changes in the 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.

[0049] In addition, glare issues are also critical for assessing visual comfort, with indicators including the 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 the presence of sunlight through a horizontal illuminance grid per year and hour rather than brightness measurements.

[0050] (2) Ventilation quality evaluation indicators; Wind speed, air changes per hour (ACH) and air age are the most commonly used indicators to measure ventilation effect and estimate the efficiency of natural ventilation. In addition, in order to predict the effect of natural ventilation, some scholars have proposed some specific customized indicators. For example, the Pressure Difference PascalHours (PDPH), Climate Cooling Potential (CCP) and Ventilation Performance Indicator (VPI) based on pressure difference are used for wind pressure ventilation and heat pressure ventilation evaluation respectively.

[0051] (3) Thermal comfort evaluation index; The 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.

[0052] Although air temperature has a significant impact on human thermal regulation, other factors and their interactions also have an important impact on the thermal balance of the human response system. In the early 20th century, scholars tried to integrate the impact of various physical elements on the thermal comfort environment, and proposed a variety of evaluation indicators based on different evaluation methods, 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 involves more indicators, such as air temperature, mean radiant temperature, air velocity, relative humidity, metabolic rate and clothing thermal resistance. At the same time, TCA emphasizes that the percentage of occupied hours that meet the expected comfort level is less than ten percentage points. ATC focuses on the adaptability of indoor comfort.

[0053] (4) Energy performance evaluation indicators; Energy performance indicators usually 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.

[0054] Since most studies tend to select a few dimensions rather than all indicators to evaluate building performance, the present invention gives priority to the most commonly used performance evaluation indicators, namely autonomous daylighting valve DA, daytime glare probability DGP, air flow rate, air changes per hour ACH and annual load, when evaluating the performance of underground building space.

[0055] 1. The calculation formula of autonomous daylighting valve DA is as follows: (1); In formula (1), t i Indicates the usable time (h), N t represents the time step, I avail Indicates available natural light (lux), I limit represents the illumination threshold, wf i Represents the weighting factor (depending on the illumination threshold).

[0056] 2. The calculation formula of daytime glare probability DGP is as follows: (2); 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.

[0057] 3. The calculation formula of air velocity is as follows: (3); In formula (3), Q represents the cross-sectional area (m 2 ), Indicates the average speed (m / s).

[0058] 4. The calculation formula for air changes per hour ACH is as follows: (4); 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 hole (m / s), and F represents the area of ​​the window hole (m 2 ).

[0059] 5. The calculation formula for annual load is as follows: (5); 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).

[0060] In formula (5), Ls and Lo are positive throughout the year, while Le and Li may be positive or negative due to changes in outdoor temperature and humidity in winter and summer. Building energy usually 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 operation time. That is, building energy is a function of building load and time: (6); In formula (6), E represents building energy consumption (Wh) and T represents time (h).

[0061] From equations (5)-(6), it can be seen that the key to reducing energy consumption during the operation phase of a building is to reduce the building load and shorten the energy consumption time through effective design. For underground public buildings, by optimizing the design of the spatial interface and improving the natural lighting and ventilation in the underground building, the use time of artificial lighting and air-conditioning equipment can be reduced, thereby reducing the building heat load and reducing the consumption of conventional energy. In addition, from equations (1)-(4), it can be seen that design variables, such as window-to-wall ratio (WWR), have an important impact on the performance of underground buildings.

[0062] S300: If the underground building space performance evaluation of the initial design scheme meets the standard, the initial design scheme is directly output. If the underground building space performance evaluation of the initial design scheme does not meet the standard, 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.

[0063] The specific steps of multi-objective spatial performance-oriented spatial interface optimization design are as follows: 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 by the modified underground building physical model to obtain the underground building space interface type parameters after reverse optimization, thereby generating an optimization design strategy for the underground building space interface.

[0064] The method for establishing the mapping relationship between the underground building space interface type and the underground building space performance index of the present invention is as follows: first, the influencing factor when designing the underground building, that is, the underground building space interface type, is used as the input of the physical model; the focus target when designing the underground building, that is, the underground building space performance index, is used as the output of the physical model; then, by mining the explicit or implicit mathematical expression method between the input and the output, a forward mathematical relationship including a linear expression and an implicit grid is established between the input and the output, thereby establishing a mathematical model for reverse optimization, and then under given spatial performance index parameters, the spatial interface parameters are inverted to achieve spatial performance-oriented optimization design.

[0065] 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.

[0066] 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.

[0067] 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 to be further optimized.

[0068] 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.

[0069] 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, and then the optimization target is reversely converted into optimized elements 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 strategy after secondary optimization is integrated to generate a multi-objective underground building space interface optimization design strategy and output it.

[0070] S400. According to the underground building space interface type selected in the multi-objective optimization design strategy, the corresponding design parameters of the initial design scheme are modified to generate an optimized design scheme for the underground building space interface.

[0071] S500, calculating the underground building space performance index of the optimized design scheme, and referring to the preset underground building space performance index to evaluate the underground building space performance of the optimized design scheme.

[0072] S600: outputting an optimized design scheme for the underground building space interface that meets the evaluation standards, or re-optimizing the space performance of the optimized design scheme that does not meet the evaluation standards.

[0073] The optimized design scheme is output in a visual form, and the output optimized design scheme includes a displayable underground building space interface mode, 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.

[0074] The optimized design should have high energy efficiency and good indoor environmental quality while meeting various performance objectives of the building design.

[0075] 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; 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 acquisition module is responsible for acquiring the design parameters of the underground building to be built, 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 according to the acquired 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 index includes natural lighting comfort evaluation index, ventilation quality evaluation index, thermal comfort evaluation index and energy performance evaluation index; 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, so as to obtain a multi-objective optimization design strategy for the underground building space interface; The spatial performance optimization module of the scheme includes two parts: the underground building physical model and the data-driven model; wherein, The underground building physical model is responsible for reversely optimizing the underground building space interface type by using the preset underground building space performance index, thereby generating an optimization design strategy for the underground building space interface, and then performing a multi-objective satisfaction evaluation on the optimization design strategy to evaluate the satisfaction of the generated optimization design strategy in achieving multiple underground building space performance indicators; integrating the optimization design strategies with satisfactory evaluations and generating a multi-objective underground building space interface optimization design strategy and then outputting it; performing a secondary optimization on the optimization design strategies with unsatisfactory evaluations, and then integrating the optimization design strategies generated after the secondary optimization and generating a multi-objective underground building space interface optimization design strategy and then outputting it; The data-driven model includes a mapping relationship between the established underground building space interface type and the underground building space performance index, 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 including a linear expression and an implicit grid established between the underground building space interface type and the underground building space performance index, which provides support for the reverse optimization of the underground building physical model; The model correction method based on the optimization target is to convert the underground building space interface type parameters obtained by optimizing the underground building physical model into the 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, so as to provide 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.

[0076] 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 execute operations corresponding to the above-mentioned underground building space interface energy control method based on data processing.

[0077] The present invention also provides a computer-readable storage medium, in which at least one executable instruction is stored, and the executable instruction enables a processor to execute operations corresponding to the above-mentioned underground building space interface energy control method based on data processing.

[0078] 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.

[0079] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope 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 of the underground building space interface according to design parameters including the physical boundary of the underground building and the type of the underground building space interface; S200, calculating the underground building space performance index of the initial design scheme, and referring to the preset underground building space performance index to evaluate the underground building space performance of the initial design scheme; 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; S400, modifying 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, and generating an optimization 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 to evaluate the underground building space performance of the optimized design scheme; S600: outputting an optimized design scheme for the underground building space interface that meets the evaluation standards, or re-optimizing the space performance of the optimized design scheme that does 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 a three-dimensional interface and a 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 a double-layer glass curtain wall.

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 by the following method: Firstly, 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. Finally, the representative underground building spatial interface morphological characteristics are captured through abstraction and refinement. Finally, an underground building spatial interface morphology database is constructed through data integration, so that architects can 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) Evaluation index of natural lighting comfort; 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 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 to obtain the underground building space interface type parameters after reverse optimization, thereby generating an 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, firstly calculating each underground building space performance index of the underground building physical model when the underground building space interface type in the optimization design strategy is adopted, and then comparing with the preset underground building space performance index, so as to evaluate the satisfaction of the generated optimization design strategy when achieving multiple underground building space performance indexes, so as to judge whether the optimization design strategy needs to be further optimized; 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, and then the optimization target is reversely converted into optimized elements 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 strategy after secondary optimization is integrated to generate a multi-objective underground building space interface optimization design strategy and output it.

6. The underground building space interface energy control method based on data processing according to claim 5 is characterized in that: The method for establishing the mapping relationship between the underground building space interface type and the underground building space performance index by the data driven model is: 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 the output, a positive mathematical relationship including linear expressions and implicit grids is established between the input and the output.

7. The underground building space interface energy control method based on data processing according to claim 5 is characterized in that: The underground building physical model is corrected by 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 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.

8. The underground building space interface energy control method based on data processing according to claim 5 is characterized in that: 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, that is, the underground building space interface type parameters obtained by optimizing the underground building physical model, 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.

9. 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.

10. A system using the underground building space interface energy control method based on data processing as described in any one of claims 1 to 9, 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 acquisition module is responsible for acquiring the design parameters of the underground building to be built, 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 according to the acquired 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 index includes natural lighting comfort evaluation index, ventilation quality evaluation index, thermal comfort evaluation index and energy performance evaluation index; 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, so as to obtain a multi-objective optimization design strategy for the underground building space interface; The spatial performance optimization module of the scheme includes two parts: the underground building physical model and the data-driven model; wherein, The underground building physical model is responsible for reversely optimizing the underground building space interface type by using the preset underground building space performance index, thereby generating an optimization design strategy for the underground building space interface, and then performing a multi-objective satisfaction evaluation on the optimization design strategy to evaluate the satisfaction of the generated optimization design strategy in achieving multiple underground building space performance indicators; integrating the optimization design strategies with satisfactory evaluations and generating a multi-objective underground building space interface optimization design strategy and then outputting it; performing a secondary optimization on the optimization design strategies with unsatisfactory evaluations, and then integrating the optimization design strategies generated after the secondary optimization and generating a multi-objective underground building space interface optimization design strategy and then outputting it; The data-driven model includes a mapping relationship between the established underground building space interface type and the underground building space performance index, 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 including a linear expression and an implicit grid established between the underground building space interface type and the underground building space performance index, which provides support for the reverse optimization of the underground building physical model; The model correction method based on the optimization target is to convert the underground building space interface type parameters obtained by optimizing the underground building physical model into the 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, so as to provide 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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