Intelligent building self-adaptive comprehensive management and control method based on deep learning

Abstract

The invention discloses an intelligent building self-adaptive comprehensive management and control method based on deep learning, and relates to the technical field of electromechanical devices, capable of solving the technical problem of intelligent building management and control. The intelligent building self-adaptive comprehensive management and control method comprises the following steps: firstly, manually managing and controlling each electromechanical device in an intelligent building, acquiring feature data of the intelligent building in real time in a manual management and control process, and inputting the feature data into a neural network model for training; predicting the working condition state of each electromechanical device in the intelligent building by using the neuralnetwork model; if the prediction result is consistent with the manual management and control result, switching to an automatic management and control mode, and managing and controlling each electromechanical device in the intelligent building by utilizing a neural network model; and in the automatic management and control mode, if manual intervention is carried out on management and control of allelectromechanical devices in the intelligent building, ending the automatic management and control mode, and switching to a manual management and control mode. According to the intelligent building self-adaptive comprehensive management and control method provided by the invention, the management and control strategy of the electromechanical device in the intelligent building can be adaptively adjusted according to the change of use requirements.

Description

technical field [0001] The present invention relates to the technology of electromechanical equipment, in particular to a technology of a self-adaptive comprehensive management and control method for smart buildings based on deep learning. Background technique [0002] Smart buildings have become a new trend in the development of building technology. Smart buildings use buildings as platforms and use BA systems (Building Automation System, referred to as BA systems) to control electromechanical equipment in buildings. They have the functions of perception, transmission, memory, reasoning, The comprehensive intelligent ability of judgment and decision-making forms a coordinated integration of people, buildings and the environment, and provides people with buildings that are safe, efficient, convenient and sustainable. [0003] Smart buildings have management and operation goals such as safety, health, comfort, cleanliness, convenience, energy saving, greenness, and low carbon...

AI Technical Summary

Problems solved by technology

Due to different building shapes, functions, and users, as well as a large amount of coupling between various objectives and systems, the complexity of customizing control strategies has exceeded expectations, and the application level of the BA system largely depends on the engineer's customization, The depth of debugging and adjustment cannot be adjusted automatically when the use requirements change, and manual intervention is required to readjust, which has a hysteresis and cannot meet the growing needs of living and working living environments.