一种使机器快速重启动的方法

一种使机器快速重启动的方法南京朱春辉正常情况下，要使机器重新启动，人们都会选择热启动方式，即同时按下Ｃｔｒｌ—ＡＬＴ—ＤＥＬ三键，这种做法要比按ＲＥＳＥＴ键启动来得快——因为少了一道加电自检的步聚，但热启动还是要对机器做初始化工作，因此仍需几秒种的时...

浅谈工业机器人通讯网络控制方法

随着工业机器人的迅速发展,工业制造越来越智能化,越来越多的机器人应用于各种行业,机器人代替工人劳作势在必行。机器人设备维修人员需求量也变得越来越大。论文主要研讨UBC喷涂机器人(NACHI MC350)基本硬件组成,如何进行现场总线网络配置及地址分配以及让机器人实现外部启动所需的核心逻辑步序。

云计算中资源延迟感知的实时任务调度方法

绿色云计算已经成为一个研究焦点,动态整合虚拟机和关闭空闲主机是极具潜力的途径可降低云计算数据中心的能耗.当云平台的负载迅速增加时,系统需要启动更多的主机和创建更多的虚拟机来扩展可用资源.然而,启动主机和创建虚拟机需要一定的时间开销,使得紧急任务难以及时开始,从而延误了截止期.为了解决以上问题,首先提出具有机器启动时间感知的虚拟机扩展策略,以缓解机器启动时间冲击实时任务的时效性要求.基于该策略,设计算法STARS来调度实时任务和资源,以在保障任务时效性与节能2方面进行权横.最后,使用Google的负载数据进行模拟实验,比较算法STARS与其他2个算法的性能.实验结果表明,在保障任务时效性、节能和资源利用率方面,算法STARS优于对比算法.

Develop and Implement of Real-time Network Monitoring Software based on C/S

This article mainly introduces the multi-layer distributed C/S architecture of system design scheme. Its working principle is the client program runs automatically after the computer starts, and establish communication with the application server. The network administrator can monitor and intelligent management of the client computer through the server program, the computer will execute the corresponding operation according to the server to send command instructions. The system realize the main module of the whole system framework, network monitoring data initialization module, network data transmission module, image coding and decoding module, the advantages of system make full use of existing LAN resources, timely delivery and manaRement information.

The Application of Microcontroller and PID Technology on the Control of Motor Drive

This paper describes the incremental PID control algorithm and the basic principles of motor soft start, and introduced STM32F103RB8 basic performance microcontroller, combined with incremental PID control advantages, and gives MCU in motor soft start process control application. Practice shows that the incremental PID applications, simplifying the control ideas to improve the performance of the current loop control, limiting the starting current, smooth start-up speed, and achieved good results motor start.

A Real-Time Collision-Free Path Planning of a Rust Removal Robot Using an Improved Neural Network

In this paper, a real-time collision-free path planning of the rust removal robot in a ship environment is proposed, which is based on an improved biologically inspired neural network algorithm. This improved algorithm is based on the biologically inspired neural network and modified with obstacle detection sensors and kinematic state templates, and is implemented in a ship rust removal robot planning system for dynamic trajectory generation. The real-time optimal trajectory is generated by the biologically inspired neural network, and the moving obstacle detection process of a ship robot working on the wall is simulated with the obstacle detection sensors models. The local real-time trajectory can be re-planned by the updated local map information, where the obstacle detection sensors are used to inspect partial environment information and update the robot nearby information in real time in the original neural network algorithm. At the same time, the method of the kinematic state templates matching and searching is used to solve the pipes’ influence of the rust removal robot climbing on the wall, which can not only provide a smooth path, but also can judge the motion direction and turning angle of the robot. Comparison of the proposed approach with the simulation shows that the improved algorithm is capable of planning a real-time collision-free path with achieving the local environmental information and judging the rust removal robot’s motion direction and turning angle. This proposed algorithm can be good used in the ship rust removal robot. © 2017, Shanghai Jiaotong University and Springer-Verlag GmbH Germany.