An indoor electronic information cabinet lock remote management and control system based on an internet of things

Abstract

The application relates to the technical field of Internet of Things intelligent lock control, and particularly discloses a remote control system for indoor electronic information cabinet locks based on the Internet of Things, which comprises a cloud management center, and the cloud management center is communicatively connected with the following modules: an intermittent signal fine filtering module, which is used for fusing end-cloud cooperation and Kalman filtering, pre-processing intermittent fragments of signals of edge-end locks, correcting state drift by using a Kalman filtering algorithm, and realizing confidence evaluation of a lock tongue in-place state; and a behavior-level anti-fake authorization module, which is used for fusing an ant colony algorithm and reinforcement learning, searching for an optimal timing mode in a historical authorized path by using the ant colony algorithm. The application effectively suppresses instantaneous observation jumping and long-term state drift through edge-end signal reconstruction and Kalman filtering iterative correction, makes the confidence evaluation of the lock tongue in-place state more accurate and reliable, avoids misjudgment of the lock tongue in-place state caused by unreliable signals, and provides a highly credible physical state basis for subsequent authorization decisions.

Images