Boe Technology Group Co., Ltd.

Chinese Academy of Sciences

Beijing University of Technology

Tingting Pan

Tao Zheng

Guoyu Zuo

Fenzhen Su

Fengqin Yan

Yongkang Qiu

Hongxing Liu

Jiahao Lu

Yuelei Liu

This application relates to the technical field of data processing and provides a method for constructing spatial scenarios based on a blue-green-grey ratio. The method first constructs a spatial scenario classification system, dividing spatial scenarios into primary and secondary spatial scenarios. Attributes corresponding to vector patches of the secondary spatial scenarios are set as follows: type name, perimeter, area, and blue-green-grey ratio. Spatial data is then preprocessed, followed by the identification of urban functional scenarios and non-urban spatial scenarios. A perimeter and an area of each spatial scenario patch are calculated and attributes of type name, perimeter, area, and blue-green-grey ratio are assigned to each spatial scenario patch. The blue-green-grey ratio attribute is used to represent the internal heterogeneity within homogeneous functional zones or the same spatial scenario. This attribute better explains the differences in land use due to varying locations, addressing the challenge in traditional land use/cover methods.

Method for constructing spatial scenarios based on blue-green-grey ratio

A wireless router deployment method for determining deployment positions of wireless routers in a spatial area includes: acquiring first position information on a plurality of candidate nodes distributed in the spatial area for deploying the wireless routers; determining, based on the first position information, a network coverage probability and a network energy efficiency value for each of the candidate nodes presuming a to-be-deployed wireless router is deployed at the candidate node; determining network quality scores for respective candidate nodes according to the network coverage probability and the network energy efficiency value; and selecting a candidate node with the highest network quality score as a deployment position for the to-be-deployed wireless router.

Wireless router deployment method and device, storage medium and electronic apparatus

The present invention relates to robots and discloses a seven-degrees-of-freedom humanoid robotic arm, including an upper arm component and a forearm component. One end of the upper arm component is provided with a shoulder pitching joint, a shoulder yawing joint and a shoulder rolling joint for connecting with a shoulder. One end of the forearm component is provided with an elbow pitching joint and an elbow rolling joint for connecting with the upper arm component, and the other end of the forearm component is provided with a wrist pitching joint and a wrist yawing joint for connecting with a robotic hand. The seven-degrees-of-freedom humanoid robotic arm of the present invention achieves a highly bionic design of a spherical joint of human shoulder, elbow and wrist joints.

Seven-degrees-of-freedom humanoid robotic arms

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Beijing, China

Tingting Pan