Mine safety monitoring system mass video data adaptive streaming method based on mobile edge computing

• Main Authors: WANG YAO, PENG QINGLAN, GUO KUNYIN, ZHU RONG, RAN QIHUA, LI SIQI, ZHENG WANBO, XIA YUNNI, LIU WENQI, DONG JINXIAO, LI LEI, WANG YUDONG
• Format: Patent
• Language: Chinese; English
• Published: 03.02.2023
• Subjects: ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

The invention discloses a mine safety monitoring system mass video data self-adaptive streaming method based on mobile edge computing, and belongs to the field of edge computing. The system comprises a central server, an edge server and user equipment, the method comprises the following steps: firstly, constructing a mobile edge framework of a mobile mine safety monitoring system client adaptive stream, then collecting information of the client through an edge server, inputting the information into a neural network model, and determining a bit rate of a requested mine safety monitoring system video clip. Training a neural network model by using a reinforcement learning algorithm, calculating a mass video bit rate of the mine safety monitoring system adaptive to the client, and then distributing the mass video bit rate to the client; according to the method, mobile edge computing and mine safety monitoring system video adaptive streaming are creatively combined, the overall QoE of the client and the QoE fairne