The deep learning algorithm,which has been increasingly applied in the field of petroleum geophysical prospecting,has achieved good results in improving efficiency and accuracy based on test applications.To play a gre...The deep learning algorithm,which has been increasingly applied in the field of petroleum geophysical prospecting,has achieved good results in improving efficiency and accuracy based on test applications.To play a greater role in actual production,these algorithm modules must be integrated into software systems and used more often in actual production projects.Deep learning frameworks,such as TensorFlow and PyTorch,basically take Python as the core architecture,while the application program mainly uses Java,C#,and other programming languages.During integration,the seismic data read by the Java and C#data interfaces must be transferred to the Python main program module.The data exchange methods between Java,C#,and Python include shared memory,shared directory,and so on.However,these methods have the disadvantages of low transmission efficiency and unsuitability for asynchronous networks.Considering the large volume of seismic data and the need for network support for deep learning,this paper proposes a method of transmitting seismic data based on Socket.By maximizing Socket’s cross-network and efficient longdistance transmission,this approach solves the problem of inefficient transmission of underlying data while integrating the deep learning algorithm module into a software system.Furthermore,the actual production application shows that this method effectively solves the shortage of data transmission in shared memory,shared directory,and other modes while simultaneously improving the transmission efficiency of massive seismic data across modules at the bottom of the software.展开更多
基于Zig Bee协议的无线传感网络采集到的温湿度数据被存储到基站的SQLCE嵌入式数据库中。一个远程用户要连接到基站获得数据,实现两者即时通信,Internet通信是最快捷的方式,依此开发了基于Socket网络编程的无线传感器网络远程监控系统...基于Zig Bee协议的无线传感网络采集到的温湿度数据被存储到基站的SQLCE嵌入式数据库中。一个远程用户要连接到基站获得数据,实现两者即时通信,Internet通信是最快捷的方式,依此开发了基于Socket网络编程的无线传感器网络远程监控系统。实验系统以课题组自行开发的一种无线传感器网络系统为硬件平台,利用Visual Studio 2005开发环境,结合嵌入式数据库SQLCE开发技术,采用Sockets套接字,运用C#编程语言实现远程计算机对无线传感器网络数据的实时显示、存储和查询等功能。展开更多
基金supported by the PetroChina Prospective,Basic,and Strategic Technology Research Project(No.2021ZG03-02 and No.2023DJ8402)。
文摘The deep learning algorithm,which has been increasingly applied in the field of petroleum geophysical prospecting,has achieved good results in improving efficiency and accuracy based on test applications.To play a greater role in actual production,these algorithm modules must be integrated into software systems and used more often in actual production projects.Deep learning frameworks,such as TensorFlow and PyTorch,basically take Python as the core architecture,while the application program mainly uses Java,C#,and other programming languages.During integration,the seismic data read by the Java and C#data interfaces must be transferred to the Python main program module.The data exchange methods between Java,C#,and Python include shared memory,shared directory,and so on.However,these methods have the disadvantages of low transmission efficiency and unsuitability for asynchronous networks.Considering the large volume of seismic data and the need for network support for deep learning,this paper proposes a method of transmitting seismic data based on Socket.By maximizing Socket’s cross-network and efficient longdistance transmission,this approach solves the problem of inefficient transmission of underlying data while integrating the deep learning algorithm module into a software system.Furthermore,the actual production application shows that this method effectively solves the shortage of data transmission in shared memory,shared directory,and other modes while simultaneously improving the transmission efficiency of massive seismic data across modules at the bottom of the software.
文摘基于Zig Bee协议的无线传感网络采集到的温湿度数据被存储到基站的SQLCE嵌入式数据库中。一个远程用户要连接到基站获得数据,实现两者即时通信,Internet通信是最快捷的方式,依此开发了基于Socket网络编程的无线传感器网络远程监控系统。实验系统以课题组自行开发的一种无线传感器网络系统为硬件平台,利用Visual Studio 2005开发环境,结合嵌入式数据库SQLCE开发技术,采用Sockets套接字,运用C#编程语言实现远程计算机对无线传感器网络数据的实时显示、存储和查询等功能。
