The invention discloses a multi-dimensional energy-saving analysis
dynamic management platform and method for a building, and relates to the technical field of
building energy-saving management, and the method comprises the following steps: monitoring the indoor temperature in real time through a
temperature monitoring system, and transmitting the collected temperature data to a
control system; the obtained current indoor temperature is compared with a preset starting value and a preset stopping value of the
air conditioning system, and starting and stopping of the
air conditioning system are controlled through a
control system; real-time indoor temperature data are collected and constructed into an
analysis data set, and key features capable of reflecting the temperature change trend are extracted from the
analysis data set. Through real-time temperature
data analysis and
machine learning prediction, temperature change stages are accurately divided, conventional start-stop control is adopted in a normal stage, output power is dynamically adjusted through
fuzzy logic in a rapid stage, frequent start-stop and energy waste are avoided,
temperature control precision and comfort are improved, energy efficiency is remarkably improved, operation cost is reduced, and the method is suitable for large-scale popularization and application. The service life of
air conditioning equipment is prolonged, and an efficient and intelligent energy-saving management scheme is provided.