The invention provides a
community resident behavior prediction speculation method based on
Internet of Things gateway pre-
processing, and the method comprises the steps: dynamically monitoring the behavior characteristics of
community residents through an industrial
system, carrying out the behavior single-state supervision in advance on a distributed industrial gateway, and combining the recognition speculation service of a background for behaviors, thereby achieving the prediction of the behaviors of the
community residents. And based on the historical travel sequence
big data of the community residents, speculating a behavior prediction result matched with the spatial-temporal characteristics of the community residents, and recording and storing the behavior prediction result. The computing power of
behavior monitoring of a background can be distributed on a leading-edge gateway
server, the background pressure is reduced, the background does not need to generally
process behavior data of community residents, only the singlet behavior characteristics need to be supervised, and the gateway is notified to carry out characteristic joint sampling after the singlet behavior characteristics are found to be alarm behavior characteristics. And finally, behavior prediction analysis is performed according to the fused spatial-temporal characteristics of the community residents, so that dynamic and multi-
modal safety management is realized, resident behaviors are tracked, predicted and managed through diversified AI identification, and intelligent
community management is realized.