Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Light wall spraying process based on artificial intelligence
The invention provides a light wall spraying process based on artificial intelligence, which comprises the following steps of: acquiring key parameters such as spraying thickness, uniformity, material consumption, spraying pressure, environment temperature and humidity and the like in a spraying process in real time through mounted sensor equipment; the data processing module is used for transmitting the data to the data processing module for data cleaning, denoising and format conversion, the spraying process is divided into a plurality of sub-regions, a data set in each sub-region is processed through a self-adaptive distributed generative adversarial network model, the pre-processed data is analyzed by utilizing a self-adaptive distributed generative adversarial network algorithm, and the data is stored in the data processing module. A prediction model of the spraying process is constructed, the prediction model can predict the spraying effect in real time according to the input parameters, feedback signals are generated, and operation parameters of spraying equipment are adjusted through an intelligent optimization algorithm; and closed-loop control is formed, so that the spraying quality is continuously optimized in the construction process, the material waste is reduced, and the construction efficiency is improved.
本发明提出了一种基于人工智能的轻质墙体喷涂工艺，所述喷涂工艺通过安装的传感器设备实时采集喷涂过程中的喷涂厚度、均匀性、材料消耗量、喷涂压力和环境温湿度等关键参数，并将这些数据传输至数据处理模块进行数据清洗、去噪和格式转换，将喷涂过程划分为多个子区域，每个子区域内的数据集通过自适应分布式生成对抗网络模型进行处理，利用自适应分布式生成对抗网络算法分析预处理后的数据，构建喷涂过程的预测模型，预测模型能够根据输入的参数实时预测喷涂效果，生成反馈信号，并通过智能优化算法调整喷涂设备的操作参数；形成闭环控制，使喷涂质量在施工过程中得到持续优化，减少材料浪费，提高施工效率。
Light wall spraying process based on artificial intelligence
The invention provides a light wall spraying process based on artificial intelligence, which comprises the following steps of: acquiring key parameters such as spraying thickness, uniformity, material consumption, spraying pressure, environment temperature and humidity and the like in a spraying process in real time through mounted sensor equipment; the data processing module is used for transmitting the data to the data processing module for data cleaning, denoising and format conversion, the spraying process is divided into a plurality of sub-regions, a data set in each sub-region is processed through a self-adaptive distributed generative adversarial network model, the pre-processed data is analyzed by utilizing a self-adaptive distributed generative adversarial network algorithm, and the data is stored in the data processing module. A prediction model of the spraying process is constructed, the prediction model can predict the spraying effect in real time according to the input parameters, feedback signals are generated, and operation parameters of spraying equipment are adjusted through an intelligent optimization algorithm; and closed-loop control is formed, so that the spraying quality is continuously optimized in the construction process, the material waste is reduced, and the construction efficiency is improved.
本发明提出了一种基于人工智能的轻质墙体喷涂工艺，所述喷涂工艺通过安装的传感器设备实时采集喷涂过程中的喷涂厚度、均匀性、材料消耗量、喷涂压力和环境温湿度等关键参数，并将这些数据传输至数据处理模块进行数据清洗、去噪和格式转换，将喷涂过程划分为多个子区域，每个子区域内的数据集通过自适应分布式生成对抗网络模型进行处理，利用自适应分布式生成对抗网络算法分析预处理后的数据，构建喷涂过程的预测模型，预测模型能够根据输入的参数实时预测喷涂效果，生成反馈信号，并通过智能优化算法调整喷涂设备的操作参数；形成闭环控制，使喷涂质量在施工过程中得到持续优化，减少材料浪费，提高施工效率。
Light wall spraying process based on artificial intelligence
一种基于人工智能的轻质墙体喷涂工艺
QIAN SHENG (Autor:in) / CHEN SONG (Autor:in) / ZHU SUJUN (Autor:in) / XU SHENGQUAN (Autor:in) / WANG JUNMEI (Autor:in)
27.12.2024
Patent
Elektronische Ressource
Chinesisch
IPC:
G05B
Steuer- oder Regelsysteme allgemein
,
CONTROL OR REGULATING SYSTEMS IN GENERAL
/
E04F
FINISHING WORK ON BUILDINGS, e.g. STAIRS, FLOORS
,
Ausbau von Bauwerken, z.B. Treppen, Fußböden
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
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