Autonomous inspection robot and its mobile monitoring method, device, and autonomous inspection system

Abstract

The invention discloses an autonomous inspection robot and its mobile monitoring method, device, and autonomous inspection system. The method includes: obtaining an inspection route sent by a server through a data node; wherein, at least one target monitoring point is set on the inspection route, and each Each target monitoring point corresponds to one sensor information, and the autonomous patrol robot carries a sensor corresponding to each target monitoring point; moves according to the patrol route and the coordinates of the at least one target monitoring point, and uses pre-trained A good mobile strategy avoids obstacles until moving to the target monitoring point; after moving to the target monitoring point, obtain the sensor information corresponding to the target monitoring point; place the corresponding sensor on the target monitoring point according to the sensor information A target monitoring point; acquiring monitoring data collected by the sensor, and transmitting the monitoring data to the server through a data node.

Description

technical field [0001] The invention relates to the field of robots, in particular to an autonomous inspection robot, its mobile monitoring method, device, and autonomous inspection system. Background technique [0002] In agricultural production, the data monitored by variables in the production environment affect the decision-making of staff. The deployment of sensors is an important part of monitoring environmental variables in IoT agriculture. The data monitored by sensors has the characteristics of large data volume, single data, and difficult analysis. Today, if the agricultural production environment equipped with the Internet of Things system wants to ensure that the monitoring data is more comprehensive, it needs to deploy a large number of sensors. Some sensors are expensive, and the monitoring coverage area is small, making it difficult to fully deploy. [0003] At present, the common practice in the industry is to only deploy professional sensors in one area t...

AI Technical Summary

Problems solved by technology

Some sensors are expensive, and the monitoring coverage area is small, making it difficult to fully deploy

[0003] At present, the common practice in the industry is to only deploy professional sensors in one area to replace the monitoring data of the entire area. If agricultural damage occurs in an unmonitored area, it may not be detected, causing the staff to make wrong decisions and bring a lot of money. loss

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