Automatic fall-behind warning method and automatic fall-behind warning system

Abstract

The invention discloses an automatic fall-behind warning method and an automatic fall-behind warning system, which are used for a group activity environment, wherein each body of a group corresponds to one node and all the nodes form an independent network. The method comprises the following steps: initializing a peripheral node list of the group and acquiring an online signal quality list among the nodes of the network; acquiring a current topological peripheral and internal node list of the network by using an algorithm; viewing whether some a node disappears from the acquired peripheral node list or not; if the node does not disappear from the acquired peripheral node list, updating the peripheral node list and continuing to acquire the online signal quality list among the nodes of the network; when the node disappears from the acquired peripheral node list, viewing whether the disappearing node is an internal node or not; and if the disappearing node is the internal node, returning to the step of updating the peripheral node list, and if the disappearing node is not the internal node, determining the disappearing node falls behind and automatically giving a warning.

Description

technical field [0001] The invention relates to an automatic fall behind warning method and system (Automatic Fall Behind Warning Method And System), which is suitable for the environment of group activities. Background technique [0002] In recent years, the rise of the related popular leisure sports industry has led to a substantial increase in group activities of leisure sports, such as mountain climbing or cycling. When people engage in leisure sports group activities, they often encounter the problem of some members leaving the team. Generally, the more commonly used methods are to use manual methods to monitor each other, or to use radio walkie-talkies or mobile phones for repeated location confirmation. Such methods usually require human intervention or lack an automatic warning mechanism, resulting in accidents or delays in rescue time. [0003] The existing related technologies for leaving the team can be classified into three categories, such as figure 1 As shown...

AI Technical Summary

Problems solved by technology

[0008] The first and second types of technologies require human intervention or repeated confirmation, or lack an automatic warning mechanism, which is prone to accidents or delays in rescue time

The communication equipment related to the third type of technology is expensive, and also requires the deployment of additional facilities in the external environment, such as: GPS satellites, wireless network base stations; and essentially uses high-power wireless communication transmission technology, so it is relatively power-hungry and more suitable Used for short-term activities

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