Method and system for detecting number of personnel in ship cab based on WiFi

Abstract

The invention discloses a method and a system for detecting the number of operators on duty in a ship cab based on WiFi. The method comprises the following steps: 1) acquiring a wireless signal representing an environment state to obtain an original state signal; 2) analyzing the original data signal to obtain a CSI signal; 3) preprocessing the CSI signal, and screening out subcarriers with relatively high sensitivity to environmental perception; 4) performing frequency domain and time domain feature extraction on the preprocessed CSI signal to obtain a CSI feature signal; 5) extracting continuous CSI signals in a sliding window W, analyzing time domain and frequency domain information of the continuous CSI signals, and calculating statistical characteristics of different personnel numbers under the information; and 6) carrying out classification and identification on the calculated personnel quantity statistical characteristics by using a support vector machine algorithm, and identifying the quantity of operators on duty in the ship cab. According to the invention, the number of operators on duty in the ship cab can be effectively detected.

Description

technical field [0001] The invention relates to ship information automation technology, in particular to a method and system for detecting the number of people in a ship's bridge based on WiFi. Background technique [0002] In recent years, with the rapid development of my country's shipping industry and the rapid increase of water traffic, ship navigation safety has always been a hot spot of social concern. During the ship's navigation, the bridge needs to maintain a certain number of personnel on duty according to the ship's navigation conditions. Manipulate and control the ship to prevent the ship from losing control or deviating from the scheduled route to cause water traffic accidents. [0003] Most of the existing detection methods for the number of people generally use image recognition technology, which collects environmental information through cameras, and then completes the judgment through feature extraction of fixed image patterns. However, this method has many l...

AI Technical Summary

Problems solved by technology

[0003] Most of the existing detection methods for the number of people generally use image recognition technology, which collects environmental information through cameras, and then completes the judgment through feature extraction of fixed image patterns. However, this method has many limitations, such as nighttime navigation of ships. Adjust the light in the cab to very dark to identify objects such as lighthouses and beacons. At the same time, problems such as monitoring blind spots and privacy violations also limit the application of this technology

There is also a detection method based on infrared sensors, but the cost of deployment is high and maintenance is difficult in the later stage

Images