Method for optimizing intelligent parking path in environment of Internet of things

Abstract

The invention discloses a method for optimizing an intelligent parking path in an environment of an Internet of things. The method adopts a convex optimization theory and takes indexes of collision preventation of obstacles, variable speed, safe distance and shortest parking time into account comprehensively to convert a parking path optimization problem into a convex optimization problem for multi-index weighing; and the method adopts an asynchronous cooperative computing method for multiple intelligent nodes to solve the convex optimization problem for the multi-index weighing. The convex optimization problem has the advantages of high arithmetic solution speed, uniqueness in solution and global optimality and can make up the shortcomings of computing capacity and memory capacity of the multiple intelligent nodes with low cost in the environment of the Internet of things; the asynchronous cooperative computing solution among the multiple intelligent nodes has high fault-tolerant ability on uncertain network connection, network communication delay and accidental packet loss conditions, avoids a large amount of synchronous communication overhead in the synchronous solution algorithm, and can make up the shortcoming of communication capability of a wireless network with low cost in the environment of the Internet of things.

Description

technical field [0001] The invention relates to the field of intelligent parking under the Internet of Things environment, in particular to an intelligent parking route optimization method under the Internet of Things environment. Background technique [0002] In recent years, with the rapid development of control, communication and computer technology, the concept of the Internet of Things has gone through a period of blind development, healthy development and accelerated application transformation from scratch, and has been included in my country's "Twelfth Five-Year Development Outline, the Economic Recovery and Reinvestment Act in the United States, and the Internet of Things Action Plan in the European Union. The Internet of Things is based on the wireless sensor network, through the connection between things and things, collaborative optimization and intelligent decision-making, so as to turn non-intelligent computing nodes into intelligent objects (that is, smart nodes...

AI Technical Summary

Problems solved by technology

[0003] At present, the root of restricting the application of the Internet of Things to the intelligent parking system lies in the strict requirements of the implementation cost of the Internet of Things, which are limited to the low-cost smart nodes and wireless networks of the Internet of Things, which are only equipped with weak computing power, storage capacity and communication capabilities, but The contradiction with this is: first, there are many sensors in the Internet of Things, and data fusion and optimization of parking paths all introduce intensive computing burdens; second, in the Internet of Things environment, the relationship between wireless network connections and network delays are uncertain The phenomenon of data packet loss during information transmission cannot be ignored, and the path optimization method must have strong reliability and fault tolerance