China University of Petroleum

Qingdao Haier Co., Ltd.

Qingdao Jiaohuwulian Technology Co., Ltd.

Haier Smart Home Co., Ltd.

Chongqing Haier Refrigeration Electric Appliance Co., Ltd.

Qingdao Haier Special Refrigeration Electric Appliance Co., Ltd.

Lei Zhang

Kai Zhang

Weiyao Guo

Jun Yao

Hai Sun

Bo Li

Lexin Chen

Yongfei Yang

Bing Wang

Gan Li

Guangming Dang

Xia Yan

Yongqiang Zhao

Guixi Li

Lei Liu

Shujun Song

Dongyan Fan

Liang Zhou

Qian Sang

Yuliang Jiao

Fei Luo

Yefei Zhang

Yuda Kan

Linpeng Xu

Qingfu Wang

Xile Zhang

Chengzhi Xia

Chun Zhu

Qinghai Zhao

Chunxue Wang

Yong Wu

An automatic support device for resisting rock burst in mines is provided, which includes bases symmetrically distributed, sliding frames are slidably connected to the bases, hydraulic rods are fixedly connected to the bases, and telescopic ends of the hydraulic rods are fixedly connected to the adjacent sliding frames. The sliding frames are fixedly connected to brackets, and the brackets symmetrically distributed are provided with a main support plate, on which pushing rods are provided. The device can slow down the impact force of the device when rock burst occurs in the mine, at the same time, it plays a supporting role in the mine, ensuring the stability of the roof of the mine.

Automatic support device for resisting rock burst in mines

Disclosed a method for predicting permeability of a multi-mineral phase digital core based on deep learning. In the present disclosure, a three-dimensional digital core is constructed and a pore structure is randomly generated; after a plurality of multi-mineral digital core images is acquired by performing image segmentation on the three-dimensional digital core, permeability corresponding to each of the multi-mineral digital core images is acquired by simulation using multi-physics field simulation software and a multi-mineral digital core data set is constructed based on the plurality of multi-mineral digital core images and the permeability corresponding to each of the multi-mineral digital core images; an SE-ResNet18 convolutional neural network is constructed and trained with the multi-mineral digital core data set; and an image of a multi-mineral core to be predicted is input into the trained SE-ResNet18 convolutional neural network to determine the permeability of the multi-mineral core.

Method for predicting permeability of multi-mineral phase digital core based on deep learning

Disclosed is a wireless networking method having low power consumption and high interference resistance. Basic communication units comprise a base station and a node. The base station takes charge of network construction and management, and the node and the base station communicate with each other by using adaptive frequency hopping and time division multiple access technologies; a plurality of time slots are obtained by division for communication, the time slots are divided into transaction time slots and data time slots, and the transaction time slots take charge of broadcast information transmission, synchronous information transmission, and network access of the node; and the data time slots take charge of data interaction between the base station and the node. The method can achieve available low-power-consumption, large-capacity, high-reliability, and low-latency underlying wireless communication in a complex and congested wireless environment, and can operate in a 2.4 GHz frequency band to achieve worldwide availability.

Wireless networking method having low power consumption and high interference resistance

A refrigerator control method, including: upon acquiring a signal indicating that a person approaches to open a door, controlling a camera to move from an initial position to a first position; upon acquiring a signal indicating that the door switches to an open status, controlling the camera to move to a second position; upon acquiring an opening angle of the door, and controlling the camera to capture an image of an interior of the door when the opening angle is less than a threshold angle; upon acquiring a signal indicating that the door switches to the closed status, controlling the camera to move to the first position and capture an image of an interior of the door; and upon acquiring a signal indicating that the door is closed, controlling the camera to return to the initial position and capture an image of an interior of the refrigerating compartment.

Refrigerator control method for capturing images inside refrigerator

Growing community of inventors

Qingdao, China

Lei Zhang