Method and device for determining position of mountain forest fire prevention sensor

Abstract

The embodiment of the invention provides a method and device for determining the position of a mountain forest fire prevention sensor, relates to the technical field of sensors, and aims to optimize the layout method of the mountain forest fire prevention sensor and improve the speed and precision of response of the sensor to mountain forest fire. The method comprises the following steps: initializing initial parameters of a cuckoo search algorithm, wherein the initial parameters comprise population quantity, initial bird nest positions and positions of a plurality of ignition points; determining first fitness corresponding to the plurality of sensor clusters according to the positions of the plurality of ignition points and the first positions of the plurality of sensor clusters; updatingthe first position according to the first fitness corresponding to the plurality of sensor clusters and a preset algorithm, and determining a target position of the target sensor cluster, wherein thetarget sensor cluster is any sensor cluster in the plurality of sensor clusters and is used for indicating the finally deployed sensor cluster, and the target position is used for indicating the deployment position of the target sensor cluster. The method and device are used for monitoring mountain forest fire.

Description

technical field [0001] The invention relates to the technical field of sensors, in particular to a method and device for determining the position of a forest fire sensor. Background technique [0002] Forest is an ecological resource that human beings depend on for survival, and it is an indispensable part of the ecological environment. However, due to human factors and uncontrollable natural factors, forest fires occur from time to time, which not only seriously affects the ecological environment, but also brings huge hidden dangers to the safety of human life and property. [0003] At present, the prevention and control technologies for mountain forest fires mainly include charge-coupled device (CCD) cameras, infrared radiation (infrared radiation, IR) monitors, and artificial satellite systems. These prevention and control measures have certain limitations in detection accuracy or response speed. For example, CCD cameras and IR monitors are affected by sunlight, weather ...

AI Technical Summary

Problems solved by technology

[0003] At present, the prevention and control technologies for mountain forest fires mainly include charge-coupled device (CCD) cameras, infrared radiation (infrared radiation, IR) monitors, and satellite systems. These prevention and control methods have certain limitations in detection accuracy or response speed. For example, CCD cameras and IR monitors are affected by sunshine, weather (clouds, fog, etc.), and their detection accuracy decreases. The artificial satellite system not only has a limited detection range, but also Its data transmission time is too long, and its response to forest fires is slow

Images