Task driven dynamic adaptive environment sensing mobile robot, system and method

Abstract

The invention discloses a task driven dynamic adaptive environment sensing mobile robot, system and method. The method comprises the steps that S1) a cloud server generates a sensing task according toinformation including the geographic position of each sensing area and parameters need to be sensed for the mobile robot; S2) the mobile robot obtains the sensing task from the cloud server in real time, adjusts the sensing area and a corresponding environment sensor dynamically according to the sensing task so as to sense the corresponding environment parameters, and complete the corresponding environment sensing task; and S3) the mobile robot sends the collected environment parameters to the cloud server in real time. The cloud serer adjusts the environment sensing parameters of the mobilerobot dynamically according to the geographic or spatial position of the cloud server, so that the mobile robot can sense the corresponding environment parameters according to different environments and unnecessary energy consumption is reduced.

Description

technical field [0001] The present invention relates to the field of environment perception technology, in particular to a task-driven dynamic adaptive environment perception mobile robot and its system and method Background technique [0002] Environmental perception has always been one of the hot issues in current research, and the current methods can be roughly divided into three types: [0003] 1. Design a portable multi-parameter sensing instrument based on the embedded system. When it is necessary to sense environmental parameters, install the instrument at the test site, conduct multi-parameter tests on the monitoring or test environment, and then store the data locally, and finally The data is transmitted to the server or the user through other communication networks, such as an aquaculture water quality parameter sensing device provided by the Chinese patent with the publication number CN104991505B; [0004] 2. Based on wireless sensor network: wireless sensor netw...

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Problems solved by technology

[0007] (1) Sensing nodes cannot adjust the parameters that need to be sensed according to specific geographical and spatial locations. However, in many environmental sensing situations, the parameters that need to be sensed are different in different situations. Take agricultural greenhouses as an example, For example, the space for planting roses and peonies has different parameters (such as temperature, humidity, light intensity, etc.) to be sensed in different periods. All the parameters of each occasion are sensed, which increases the burden on the server to process the sensed data, and secondly makes it necessary to start all the sensors every time sensed, increasing unnecessary energy consumption;

[0008] (2) The data is retransmitted through the wireless sensor network, there are multiple hops in data transmission, poor real-time performance, etc.;

[0009] (3) The use of traditional environmental perception technology has disadvantages such as high cost and poor node reusability

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