Based on the in-depth research of the embedded device management system,analyze the process of the driver parameters delivery on kernel level particularly.According to this,expound the device driver's working prin...Based on the in-depth research of the embedded device management system,analyze the process of the driver parameters delivery on kernel level particularly.According to this,expound the device driver's working principle,structure and design methods especially.Finally realize the drivers of the character-based devices which can be dynamically loaded.Actual result shows that mastering the realization of the device driver mechanism and the process of parameters delivery with kernel can improve the embedded device driver development efficiency and reduce error probability effectively,thus saving the development cost and development cycle of embedded products.展开更多
A platform named EMECS based on embedded Ethernet control system is implemented.A PC running Fedora 6(Linux2.6)works as a central controller.A kit running Linux 2.4 based on Samsung2410A(ARM920t core)works as a remote...A platform named EMECS based on embedded Ethernet control system is implemented.A PC running Fedora 6(Linux2.6)works as a central controller.A kit running Linux 2.4 based on Samsung2410A(ARM920t core)works as a remote controller and a DC motor(ESCA P28HSL18-219/204)made by Portescap Company works as a plant.Firstly,system modeling is presented by analyzing the characteristics of Ethernet and the plant,based on a proposed delay measurement method.Secondly,implementation of the system including program and hardware is described in detail.And then the delay is measured and the control results of the system are tested in three cases with different network loads as well.The platform is proved to have flexibility of running different control algorithms and extensibility of adding nodes.Experiment results demonstrate the validity of the system.展开更多
研究成功开发了一款基于嵌入式Linux平台的智能消防报警系统。该系统通过多传感器的协同工作,能够实时采集温度、烟雾和有毒气体的数据,并利用先进的通信技术和快速响应机制,以确保系统运行时的高效和可靠性。系统以Raspberry Pi 3 Mode...研究成功开发了一款基于嵌入式Linux平台的智能消防报警系统。该系统通过多传感器的协同工作,能够实时采集温度、烟雾和有毒气体的数据,并利用先进的通信技术和快速响应机制,以确保系统运行时的高效和可靠性。系统以Raspberry Pi 3 Model B为核心,集成了SHT31温湿度传感器、MQ-2气体传感器、ESP8266 Wi-Fi模块和SX1278Lo Ra模块,实现了多级远程报警功能。通过一系列实验,验证了该系统在传感器精度、报警响应时间、网络延迟和稳定性方面的性能。实验结果表明,即便在高负载的多任务环境下,系统依然能够保持卓越的性能,满足实时性和准确性需求,这为智能嵌入式报警系统的开发和集成提供了技术参考。展开更多
文摘Based on the in-depth research of the embedded device management system,analyze the process of the driver parameters delivery on kernel level particularly.According to this,expound the device driver's working principle,structure and design methods especially.Finally realize the drivers of the character-based devices which can be dynamically loaded.Actual result shows that mastering the realization of the device driver mechanism and the process of parameters delivery with kernel can improve the embedded device driver development efficiency and reduce error probability effectively,thus saving the development cost and development cycle of embedded products.
基金Supported by CSC(Chinese Scholarship)(Liu Jin Chu[2006]3074)
文摘A platform named EMECS based on embedded Ethernet control system is implemented.A PC running Fedora 6(Linux2.6)works as a central controller.A kit running Linux 2.4 based on Samsung2410A(ARM920t core)works as a remote controller and a DC motor(ESCA P28HSL18-219/204)made by Portescap Company works as a plant.Firstly,system modeling is presented by analyzing the characteristics of Ethernet and the plant,based on a proposed delay measurement method.Secondly,implementation of the system including program and hardware is described in detail.And then the delay is measured and the control results of the system are tested in three cases with different network loads as well.The platform is proved to have flexibility of running different control algorithms and extensibility of adding nodes.Experiment results demonstrate the validity of the system.
文摘研究成功开发了一款基于嵌入式Linux平台的智能消防报警系统。该系统通过多传感器的协同工作,能够实时采集温度、烟雾和有毒气体的数据,并利用先进的通信技术和快速响应机制,以确保系统运行时的高效和可靠性。系统以Raspberry Pi 3 Model B为核心,集成了SHT31温湿度传感器、MQ-2气体传感器、ESP8266 Wi-Fi模块和SX1278Lo Ra模块,实现了多级远程报警功能。通过一系列实验,验证了该系统在传感器精度、报警响应时间、网络延迟和稳定性方面的性能。实验结果表明,即便在高负载的多任务环境下,系统依然能够保持卓越的性能,满足实时性和准确性需求,这为智能嵌入式报警系统的开发和集成提供了技术参考。
