The invention discloses an intelligent building
information management system and method based on
big data analysis, and relates to the technical field of
data analysis, and the method comprises the following steps: 1, collecting historical and real-
time data of equipment, carrying out the division according to a
fixed interval, cleaning abnormal values, carrying out the normalization
processing, and generating a multi-dimensional
time sequence table containing multiple pieces of information; step 2, collecting recent state data of the equipment to form a query fragment, constructing a historical sliding window
feature vector, comparing by using a DTW
algorithm, and counting predicted closing duration distribution; step 3, calculating a predicted closing time length, detecting
power consumption when the equipment is not closed for the time length, and judging a use state or an idle state according to a standard deviation and a threshold value; and step 4, when the equipment is idle, sending a closing prompt,
processing and recording according to different operations of the user, and feeding back a misjudgment condition to a worker. According to the invention, the conditions of energy waste caused by forgetting to turn off building equipment and insufficient adaptability of a curing scene mode in the prior art can be effectively improved.