Green and energy-saving ecological renovation design of buildings based on energy consumption monitoring data

In order to achieve energy conservation and environmental protection of old buildings and reduce energy consumption, the design method of green energy conservation and ecological conversion of buildings based on energy consumption monitoring data is studied. A building energy consumption monitoring structure is designed to collect energy usage data of typical facilities in the area. According to the typical building energy consumption monitoring data, the building energy consumption prediction model is constructed by using the Bayesian algorithm to obtain the energy consumption data of all buildings in the region. We set the building energy consumption comparison benchmark, calculated the energy conservation of the green energy-efficient ecological conversion design of housings according to the energy consumption data of all buildings in the region, took the maximisation of energy saving as the objective function, and built the green ecological transformation design model of buildings based on opportunity constraint planning. Different confidence levels are set within the model to reflect the user's tolerance for constraint violations and their choice of diversified comfort intervals. A particle congestion optimisation process is applied to fix the model, and the decision-making results of building green and energy-saving ecological transformation are obtained. The experimental results show that this method can effectively collect the energy consumption data of building energy usage equipment and accurately anticipate the energy usage data of other buildings in the region. Users can exchange economic and diversified energy consumption decisions by losing a certain degree of comfort and adjusting the constraint interval.