164 results about "Wireless ad hoc network" patented technology

The invention provides a multi-modal fire-fighting robot cluster cooperation method and system, a medium and a product, and relates to the technical field of fire-fighting robots, and the method comprises the steps: obtaining own multi-modal sensing data collected by a fire-fighting robot cluster in real time, and generating a corresponding local environment model for each robot in the cluster; the working state of the current master control fire-fighting robot is monitored, if abnormity is found, the master control performance of a non-master control robot cluster (except the current master control robot) is analyzed according to the local environment models, and a new master control fire-fighting robot is determined; acquiring associated multi-mode sensing data collected by a new master controller from the local environment model of the slave robot cluster through a wireless ad hoc network, and generating a new global collaborative operation strategy according to the associated multi-mode sensing data; and distributing the new global collaborative operation strategy to each robot of the non-master-control robot cluster, and controlling the robots to carry out fire-fighting operation according to the strategy. The technical problem that a fire-fighting robot cluster is difficult to collaboratively carry out fire-fighting operation under the condition that a master control node fails in the prior art is solved.

The invention relates to the technical field of agricultural intellectualization, and discloses a fruit tree growth monitoring system based on multi-sensor fusion, which comprises a multi-mode sensor array, an integrated soil humidity sensor, a three-dimensional ultrasonic ranging sensor, a hyperspectral imaging sensor and a microenvironment meteorological station, and realizes multi-parameter synchronous acquisition; a nonlinear data calibration model adopts a layered architecture, and cross interference between sensors is eliminated; a dynamic weight distribution algorithm is built in the edge computing node, multi-source heterogeneous data are fused in real time, a fruit tree growth situation map is generated, and a low-power-consumption processor is adopted to support lightweight AI model deployment; the self-adaptive power supply module adopts a photovoltaic-temperature difference composite power generation structure to realize cable-free deployment; the wireless ad hoc network communication unit constructs an inter-tree relay network based on a LoRa protocol, supports low-power-consumption remote data return, and integrates a relay node health degree evaluation mechanism. The real-time performance of fruit tree growth monitoring, the data reliability and the situation analysis accuracy are improved.