Path planning method for one-way wireless charging sensor network of bridge
A sensor network and wireless charging technology, applied in charging stations, electric vehicle charging technology, electric vehicles, etc., can solve problems such as limited, increased energy consumption, and limited wireless network performance
Active Publication Date: 2019-06-04
GUANGZHOU UNIVERSITY
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Problems solved by technology
However, with the continuous increase of the wireless network scale and the continuous increase of the data transmission rate, the energy consumption of the wireless terminal equipment in the wireless network is increasing explosively, and the battery capacity and battery life of the wireless equipment in the wireless network greatly limit the wireless network. The performance of the network, it can be said that the limited battery life is the bottleneck in the design and development of wireless networks
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[0098] A path planning method for a single-line wireless charging sensor network of a bridge, the specific steps comprising:
[0099] (1) Obtain the required bridge nodes based on the linear topology;
[0100] (2) According to the coverage degree of 2 and the minimum number of rows, the optimal number of nodes is obtained by solving;
[0101] (3) According to the optimal circling point and the optimal path distribution under the condition of linear uniform distribution of two nodes;
[0102] (4) According to the optimal circle point and the optimal path distribution under the condition of linear uniform distribution of three nodes;
[0103] (5) According to the optimal disk selection points of two nodes and three nodes, the optimal hovering point and the optimal path of UAV charging are obtained in the case of n nodes.
[0104] Specifically, in the step (2), according to the symmetry in the x direction and the symmetry in the y direction, the bridge is divided into three are...
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The invention discloses a path planning method for a one-way wireless charging sensor network of a bridge. The path planning method comprises the specific steps: (1) obtaining bridge nodes needing tobe set based on a linear topological structure; (2) according to the condition that the coverage degree is 2 and the minimum number, solving to obtain the optimal number of nodes; (3) obtaining the optimal hovering point and the optimal path distribution under the condition that two nodes are linearly and uniformly distributed; (4) obtaining the optimal hovering point and the optimal path distribution under the condition that three nodes are linearly and uniformly distributed; and (5) obtaining an optimal hovering point under the condition of n nodes and an optimal charging path of an unmannedaerial vehicle according to the optimal hovering point condition of the two nodes and the three nodes. The invention provides a planning method of an optimal charging path of an unmanned aerial vehicle, which enables a sensor network in a bridge parameter monitoring system to operate for a long time.
Description
technical field [0001] The invention relates to the technical field of wireless energy transmission, in particular to a path planning method for a single-line wireless charging sensor network of a bridge. Background technique [0002] With the rapid development of the domestic economy, the construction level of domestic bridges has been continuously improved, and various cross-river and sea bridges and road-rail bridges have been born. As the bridges are built longer, the volume is larger and the structure is more complex. The maintenance of bridge construction becomes especially important. However, many bridges in China have been exposed to the sun and rain for a long time, and the damage to the internal structure is difficult to detect. Once the structural damage cannot be detected and repaired in time, it will cause irreparable and major losses. [0003] Therefore, regular monitoring of bridges is very necessary. However, traditional manual maintenance not only has high...
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IPC IPC(8): B60L53/12B60L53/126
CPCY02T10/7072Y02T10/70Y02T90/14
Inventor 刘贵云彭百豪蒋文俊向建化张杰钊唐冬
Owner GUANGZHOU UNIVERSITY