A Prediction Method of Regional Building Energy Consumption Based on GPS Positioning and Bayesian Classification

Abstract

The invention discloses a regional building energy consumption prediction method based on GPS positioning and Bayesian classification. The method includes the following steps: issuing questionnaires to personnel in the region and selecting personnel to wear GPS positioning equipment for testing to obtain personnel positioning data; obtaining personnel Movement trajectory and thermal trajectory map; obtain the frequency statistics of the distribution of personnel activities throughout the day; classify the movement rules of personnel; obtain the probability of different types of personnel appearing in different types of representative buildings at different times; use Bayesian classification to Questionnaire classification training; determine the proportion of different types of personnel movement in different buildings during working hours; calculate the occupancy rate of different types of buildings at different times; simulate the hourly energy consumption of buildings. The invention aims at solving regional building energy consumption prediction, provides a reliable tool for realizing regional building energy demand prediction, and provides method support for regional building energy management and building energy conservation.

Description

technical field [0001] The invention belongs to the field of heating, ventilating and air conditioning, and in particular relates to a regional building energy consumption prediction method based on GPS positioning and Bayesian classification. Background technique [0002] Regional buildings usually contain multiple types of buildings, and regional functions often integrate multiple functions. There are certain differences in the movement rules of people in the region and individual buildings, and there is a certain regularity in the transfer of people in the region. The main research methods for the movement of people in buildings are fixed schedule method, random schedule method, and time autocorrelation stochastic process. Scholars at home and abroad have proposed various models for this. At present, a variety of models and theories have been developed for the research on the transfer of personnel in individual buildings. These models and theories can reflect the interact...

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Problems solved by technology

[0004] Based on the characteristics of personnel activities in regional building groups, the present invention provides a regional building energy consumption prediction method based on GPS positioning and Bayesian classification to solve the lack of research on personnel transfer rules and load prediction in regional buildings

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