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Building energy consumption simulation and optimization method based on an artificial neural network and a BIM

An artificial neural network and building energy consumption technology, applied in biological neural network models, neural learning methods, neural architectures, etc., can solve problems such as inability to do real-time analysis of architectural plans, achieve real-time optimization and analysis, and avoid modeling link effect

Inactive Publication Date: 2019-02-22
CHINA SHANGHAI ARCHITECTURAL DESIGN & RES INST +2
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  • Application Information

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Problems solved by technology

The whole process consumes a lot of time and manpower, and it is impossible to achieve real-time analysis of the architectural plan, so it often only plays the role of post-event verification

Method used

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  • Building energy consumption simulation and optimization method based on an artificial neural network and a BIM
  • Building energy consumption simulation and optimization method based on an artificial neural network and a BIM
  • Building energy consumption simulation and optimization method based on an artificial neural network and a BIM

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Embodiment Construction

[0036] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0037] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0038] refer to figure 2 and image 3 As shown, the present invention provides a kind of building energy consumption simulation and optimization method based on artificial neural network and BIM, and it mainly comprises the following steps:

[0039] Step 1. Establish building energy consumption database;

[0040]...

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Abstract

The invention discloses a building energy consumption simulation and optimization method based on an artificial neural network and a BIM. The invention includes establishing a building energy consumption database; performing deep learning of building energy consumption database by artificial neural network algorithm; establishing a BIM model of architectural schem by Revit software, and extractingthe architectural features of BIM model by a Rihno + Grasshopper platform. The result of building energy dissipation evaluation is calculated by artificial neural network algorithm; choosing the optimization strategy, get the energy-saving effect of various optimization strategies, and forming the optimized design scheme. The invention combines artificial neural network technology and BIM technology with building energy consumption simulation. By extracting building feature information directly from BIM model, the traditional modeling process in simulation software is eliminated. Through thestudy of database by artificial neural network, the result of energy consumption calculation is obtained directly, and the real-time optimization and analysis of building scheme are realized.

Description

technical field [0001] The invention relates to the technical field of building energy consumption prediction, in particular to a method for simulating and optimizing building energy consumption based on artificial neural network and BIM. Background technique [0002] Among all kinds of buildings, complex buildings are typical high-energy-consumption buildings, especially commercial complex buildings, which have the characteristics of large volume, high energy consumption and great energy-saving potential. Therefore, the design and construction of high-energy-efficiency commercial complex buildings is of great significance to the sustainable development of the entire society. [0003] Such as figure 1 As shown, the current building energy consumption simulation is mainly carried out on the energy consumption simulation software: modeling-calculation-adjustment optimization-recalculation. The whole process consumes a lot of time and manpower, and it is impossible to achieve...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/08G06F17/50G06N3/04G06N3/08
CPCG06N3/084G06Q10/04G06Q50/08G06F30/13G06F30/20G06N3/045
Inventor 赵建国董怡平单彩杰张占斌陈俊杰曹海良杜先文和嘉良王慧彬
Owner CHINA SHANGHAI ARCHITECTURAL DESIGN & RES INST
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