Research on Data Acquisition and Processing Algorithms in Energy Management System of Intelligent Buildings

With the increasing global energy consumption, the energy management of intelligent buildings has become a key link in realizing efficient energy utilization and sustainable development. Intelligent building energy management system monitors and optimizes the distribution of building energy consumption in real time through data acquisition and processing algorithms, thus reducing energy waste and improving operational efficiency. This paper firstly analyzes the development of data collection technology, including the application of hardware devices such as IoT sensors and smart meters; building energy efficiency supervision system as an important sub system, how to realize efficient saving of energy use in the process of building operation and management through the principle of energy consumption measurement, system architecture and platform construction in building intelligent design, and put forward effective energy guiding strategy according to the demand of energy use, provide powerful guarantee for energy efficiency management of intelligent buildings, and promote the sustainable development of low-carbon buildings has become the focus of attention of the designers and construction managers, covering the core methods such as data cleaning, missing value filling, energy consumption prediction and optimization model; the key problems encountered in the process of system integration and realization, and the validity and applicability of the proposed methods are verified through actual cases. It covers the core methods of data cleaning, missing value filling, energy consumption prediction and optimization model; the key problems encountered in the process of system integration and implementation, and verifies the effectiveness and applicability of the proposed methods through actual cases. Efficient data collection and processing algorithms can significantly improve the performance of intelligent building energy management system and provide technical support for the realization of green building and intelligent development.