Development Of VideoLog Visual Logging System Remote Management Platform

The VideoLog Visual Well Logging System is an oil and gas well inspection technology that utilizes downhole cameras to directly capture downhole video images,which can display the actual downhole conditions through acquired video images.Although visual well logging systems can effectively and intuitively detect most oil and gas well failures,they are unable to remotely transmit video images in real-time.Furthermore,traditional streaming systems are heavily influenced by network fluctuations,making them unable to provide better video transmission services.This paper mainly focuses on the development of a remote management platform for visual well logging systems and explores how to effectively transmit well logging videos remotely.Firstly,an ARM-based video transmission system is designed,including core processor selection,system hardware design,and embedded software design.The hardware design encompasses power module circuit design,acquisition serial port hardware design,and communication module circuit design;the software design includes Linux system tailoring and porting,serial port driver design,communication driver development,and video transmission main program design.Real-time transmission of well logging videos captured by the visual well logging system is achieved through hardware and software collaboration.Secondly,a bitrate and latency control algorithm based on DDPG is proposed.The network model for the control algorithm is designed,and a stalling penalty weight is introduced in the deep reinforcement learning framework to consider both maximizing Qo E and the impact of stalling frequency.Algorithm verification is conducted for the bitrate control algorithm,showing that it provides more flexible and fine-grained decisions at the control level,avoiding issues with determining discretization granularity;its latency is smaller at the delay level,and its overall Qo E distribution is higher,proving its practicality and superiority.Next,cloud service-based remote management platform software is designed,including a video processing system,bitrate and latency control system,information management system,and Web remote management client.The video processing system implements video decoding,storage,and DASH video transmission functions through the SRS streaming media processing framework;the client’s low-latency video real-time playback function is achieved through the DDPG-based bitrate and latency control system;data interaction with the SQLite3 database through the information management system realizes cloud storage of user,device,and login information.Lastly,the system is tested.Functional test results indicate that the remote management platform has feasibility and reliability in terms of overall functionality.Performance comparison tests further confirm that,compared to SRS servers without bitrate and latency control,the remote management platform demonstrates superior latency and smoothness in video real-time transmission,thereby verifying its usability and advantages.