Hardware Implementation and System Control Strategy of Videoconference System Based on Rec. H. 261

The design and realization of a videoconference system based on international recommendation are introduced in this paper, and the hardware implementation of video codec based on ITU-T H. 261 is briefly discussed. Furthermore, the buffer control method and the adaptive control strategy for quantization are proposed, which are adaptive and robust. This system can be operated under the transmission rate ranging from 128kb/s to 2Mb/s. With these strategies for the videoconference system, the high quality image is obtained. The time delay of the system is about half a second.

Rate Control Algorithm of Wireless Video Based on Visual Saliency Map Model

In order to further improve the efficiency of video compression, we introduce a perceptual characteristics of Human Visual System (HVS) to video coding, and propose a novel video coding rate control algorithm based on human visual saliency model in H.264/AVC. Firstly, we modifie Itti's saliency model. Secondly, target bits of each frame are allocated through the correlation of saliency region between the current and previous frame, and the complexity of each MB is modified through the saliency value and its Mean Absolute Difference (MAD) value. Lastly, the algorithm was implemented in JVT JM12.2. Simulation results show that, comparing with traditional rate control algorithm, the proposed one can reduce the coding bit rate and improve the reconstructed video subjective quality, especially for visual saliency region. It is very suitable for wireless video transmission.

A Video Game Based on Optimal Control and Elementary Statistics

The video game presented in this paper is a prey-predator game where two preys (human players) must avoid three predators (automated players) and must reach a location in the game field (the computer screen) called preys’ home. The game is a sequence of matches and the human players (preys) must cooperate in order to achieve the best perform- ance against their opponents (predators). The goal of the predators is to capture the preys, which are the predators try to have a “rendez vous” with the preys, using a small amount of the “resources” available to them. The score of the game is assigned following a set of rules to the prey team, not to the individual prey. In some situations the rules imply that to achieve the best score it is convenient for the prey team to sacrifice one of his components. The video game pursues two main purposes. The first one is to show how the closed loop solution of an optimal control problem and elementary sta- tistics can be used to generate (game) actors whose movements satisfy the laws of classical mechanics and whose be- haviour simulates a simple form of intelligence. The second one is “educational”, in fact the human players in order to be successful in the game must understand the restrictions to their movements posed by the laws of classical mechanics and must cooperate between themselves. The video game has been developed having in mind as players for children aged between five and thirteen years. These children playing the video game acquire an intuitive understanding of the basic laws of classical mechanics (Newton’s dynamical principle) and enjoy cooperating with their teammate. The video game has been experimented on a sample of a few dozen children. The children aged between five and eight years find the game amusing and after playing a few matches develop an intuitive understanding of the laws of classical me- chanics. They are able to cooperate in making fruitful decisions based on the positions of the preys (themselves), of the predators (their opponents) and on the physical limitations to the movements of the game actors. The interest in the game decreases when the age of the players increases. The game is too simple to interest a teenager. The game engine consists in the solution of an assignment problem, in the closed loop solution of an optimal control problem and in the adaptive choice of some parameters. At the beginning of each match, and when necessary during a match, an assign- ment problem is solved, that is the game engine chooses how to assign to the predators the preys to chase. The resulting assignment implies some cooperation among the predators and defines the optimal control problem used to compute the strategies of the predators during the match that follows. These strategies are determined as the closed loop solution of the optimal control problem considered and can be thought as a (first) form of artificial intelligence (AI) of the preda- tors. In the optimal control problem the preys and the predators are represented as point masses moving according to Newton’s dynamical principle under the action of friction forces and of active forces. The equations of motion of these point masses are the constraints of the control problem and are expressed through differential equations. The formula- tion of the decision process through optimal control and Newton’s dynamical principle allows us to develop a game where the effectiveness and the goals of the automated players can be changed during the game in an intuitive way sim- ply modifying the values of some parameters (i.e. mass, friction coefficient, ...). In a sequence of game matches the predators (automated players) have “personalities” that try to simulate human behaviour. The predator personalities are determined making an elementary statistical analysis of the points scored by the preys in the game matches played and consist in the adaptive choice of the value of a parameter (the mass) that appears in the differential equations that define the movements of the predators. The values taken by this parameter determine the behaviour of the predators and their effectiveness in chasing the preys. The predators personalities are a (second) form of AI based on elementary statistics that goes beyond the intelligence used to chase the preys in a match. In a sequence of matches the predators using this second form of AI adapt their behaviour to the preys’ behaviour. The video game can be downloaded from the website: http://www.ceri.uniroma1.it/ceri/zirilli/w10/.

Optimal Rate Control for Transporting VBR Video over QoS-assured Channels

In this paper we discuss how to select appropriate source and channel rate for transporting variable bit-rate (VBR) compressed video over QoS (quality of service)-assured channels. We first formulate it as an optimal control problem of discrete linear time-delay system. Then the discrete maximum principle is used to get the optimal control. Compared to traditional solutions, the proposed algorithm is designed for the coder with continuous output rate, and can work without special requirements for the encoder and decoder buffer sizes. Theoretical analysis and experimental results show that the proposed algorithm has lower space and time complexity. Our solution can be used in both off-line and on-line coding.

化工厂智能安监巡检机器人的研发与应用

煤制甲醇化工厂气化车间在生产过程中存在高温高压、易燃易爆或者有毒气体,这些气体在工厂生产过程存在重大安全隐患,若气体泄漏后一段时间内未能得到及时处理,极易造成闪燃爆炸或者人员中毒事故,引起设备损坏或重大人员伤亡的恶性生产事件。为了保障生产安全,基于导航定位技术、非接触检测技术、模式识别技术、多传感融合技术、物联网技术等高新机器人技术理论,开发出化工厂智能安监巡检机器人,实现车间全天候、全方位、全自主智能巡检和监控,有效降低了人工巡检运维成本,增强了有毒有害气体泄漏巡检效率,充分保障化工厂生产安全和巡检人员人身安全,提高智能化工厂自动化智能化建设水平。

集中式与分布式显控系统概述及应用模式分析

随着网络技术高速发展,各类通信设备的网际互连协议(Internet Protocol,IP)化趋势锐不可当,显示控制(以下简称显控)系统设计理念正在发生重大变革。在介绍集中式与分布式显控系统组网架构基础上,对比分析集中式与分布式两种模式的优势及特性,并针对实际应用要求,探讨其各自的适用场景。

铁路线路安全环境管控平台及试点应用

为满足铁路对外部环境、防洪防汛、险情、灾情、反恐治安等安全防范领域的高标准需求,国铁集团规划在全路统一建设“线路安全环境管控平台”。以济南局集团公司管控平台试点项目为例,梳理济南局集团公司既有视频监控系统现状,并深入剖析传统视频监控模式存在的问题;对管控平台国铁集团、铁路局集团公司2级架构建设模式进行论述,主要包括具体实现方式以及平台各功能模块;提出管控平台试点项目的建设方案,并总结先行试点应用中的不足,为后续全路全面推广和完善管控平台建设提供参考。

PLC自控系统和视频系统在底泥集中处理中的应用

在河道底泥集中处理过程中,由于人工定期监控方法是很难做到快速反应和及时决策,通过引入一套PLC自控系统和视频系统可以很好地解决此问题,对底泥集中处理中PLC自控系统和视频系统进行了介绍,该系统主要包括预处理系统、固液分离系统、调理加药系统和压滤脱水系统等。该PLC自控制系统和视频监控系统能有效对日常生产过程进行全面监控,整套系统自动化程度高和运行稳定,具有明显的社会效益、经济效益和环境效益。

基于综合视频分析的列车占用双通道确认方案与实现

京沪高铁目前全线ZPW-2000轨道电路列控系统已增加区间占用逻辑检查功能,但针对故障占用、占用丢失等状态,尚未有技防手段进行高效处理。提出“列车占用双通道确认”方案,通过智能运维管理系统,将列控系统轨道电路信息与综合视频监控系统信息进行提取、融合、对比、分析;对视频采用运动目标检测及追踪检测算法,基于YOLO v8模型分析出列车类型及区段占用情况,通过相关系统的数据融合与比对分析,形成轨道电路和基于现场视频反馈的轨道区段状态双通道确认,从而提高处理故障占用、占用丢失的效率,提升列车追踪的安全性和可靠性。

煤矿智能压风系统的应用研究

针对传统压风系统多电机之间无法协同配合,压风机房需要定时巡检等问题,设计了一种智能压风系统。该系统通过在控制侧加入可编程控制柜,并引入模糊控制算法,实现压风系统的按压供风、负载均衡、自动轮换的功能。通过布置故障诊断装置,检测压风机的健康状况,在发生故障时可停止压风机的运行,并及时开启另一台压风机,保障管道压力恒定。通过安装视频分析摄像仪实现对压风机房进入人员的监测,分析是否有违规或越界行为,保证人员和设备的安全。智能压风系统的管控平台展示压风机的各项数据,并通过动画生动的展示压风机房内各设备的运行状态,显示压风机健康状况的分析结果。该系统的应用减少了电能的浪费,提供了准确的诊断结果,提高了煤矿智能化水平。

蒋家河煤矿智能洗选技术改造实践

蒋家河煤矿多年来一直致力于通过智能化改造提升安全高效发展水平。随着矿井智能化建设改造的不断深入,为了进一步提升煤炭智能洗选技术水平,达到减人增效的目的,根据矿井动筛车间现状,结合《陕西省煤矿智能化建设指南(指南)》,矿井对动筛车间进行了智能洗选技术改造,包括智能动筛洗煤集控系统、视频监控系统、设备健康管理和智能供配电及照明系统等,助力智能矿山建设,实现安全高效发展[1]。

智能视频联控技术在调水清污系统中的应用

调水工程中配置安装的清污系统是保证调水水质和工程正常运行的重要组成部分。清污机无人操作系统借鉴运用智能视频图像识别、多目标自动跟踪、环境坐标映射、视频联控等技术,实现全天候移动物体识别锁定、全视界多目标坐标跟踪、全景巡航自动唤醒等功能,最终实现清污智能化,节省了人力,提高了实时清理杂物水草的效率和效益,保障了调水工程的水质安全和运行安全。

DM642 Video Port口驱动TFT-LCD的改进方法

DM642是专门为多媒体应用开发的DSP,在多媒体应用中,图像和视频的显示必不可少,随着液晶技术的发展,TFT-LCD逐渐成为构造多媒体平台的理想器件。本文提出了一种用DM642 Video Port口直驱TFT-LCD的方案;介绍了Video Port口的结构和工作方式,给出了产生实现液晶显示控制信号的配置方法。实验表明,该方案可以驱动不同分辨率的TFT-LCD,并且能够实现实时视频显示,有较强的通用性和实用价值。

控制系统的搬迁

为满足规范要求,某公司新建了抗爆控制室,借此机会对DCS、PLC、SIS及视频监控系统等进行了优化。介绍了各控制系统的搬迁方案。

高可靠性视频会议系统的设计与实现

针对传统模拟音视频会议系统普遍存在的声音效果差、不具备分级视频功能和通信连续性差的缺点,结合某政企单位视频会议系统升级项目,介绍基于多层网络架构的高可靠性视频会议系统的组网方案和建设实践,以供相关从业人员参考。

水电站智能综合监视系统研究与应用

随着智能化技术的快速发展,其在水电站的应用日益成为提升运营效率和安全管理水平的关键。围绕水电站智能综合监视系统的设计、实施及其在提升水电站运营管理方面的实际应用进行了深入研究和探讨。通过集成雷达+视频监测、全方位双光谱球机监测、环境监控与自动化控制等技术,该系统显著提升了水电站的安全监控能力和运营效率。

基于Video-GIS数据采集系统的小案管控模式研究

小案管控模式是指对一些轻微的刑事案件以及部分影响社会稳定的治安案件进行管理和控制的方式。随着时代的发展,犯罪态势的变化,大案要案得到了有效遏制,而小案侦破率低,警务关注有限,防控乏力,一直是基层公安机关面临的难题。公安机关应当分析小案的发案机理,借助新型警务技术Video-GIS数据采集系统,在对高发的小案进行数据建模的基础上,对重点地区、重点人员进行管理和控制,变案后打击为案前预测、同步监控,从而提升警务效能。

现代体育馆安防系统设计探讨

随着我国综合国力的快速发展,我国正处于从体育大国向体育强国迈进的重要时期。兴办现代体育馆对提高国民运动意识、增加国民幸福感有着积极意义。部分场馆设施陈旧老化,难以满足现代化体育赛事,为适应现代化体育比赛,智能化系统的设立在场馆中必不可少。安防系统为建筑智能化子系统,是场馆建设中必不可少的基础系统。文章对大型现代体育馆安防系统设计经验,在满足国家规范的要求下,从场馆的赛时使用以及后期运维等多方面总结设计要点与方法。

基于STM32的一拖二多种格式视频信号源控制系统实现

结合工厂实际生产测试需求,实现了一种基于STM32的一拖二多种格式视频信号源控制系统。基于STM32F103ZET6主控芯片设计了LCD多级菜单显示和控制指令接口等功能模块,实现了一拖二的多种格式视频信号源控制系统。系统使用KeilμVision5编程开发平台,设计了控制系统的整体算法和多级菜单显示等功能。使用按键和多级控制菜单实时控制下游视频信号源,实现了可视化操作。使用I2C通信和多管脚并行发码,保证了控制指令准确性和可靠性。实现了断电保护功能,提高了生产测试效率。实际测试结果证明,本控制系统的操作简单有效,控制发码准确,系统稳定可靠。

基于雷视融合感知技术的公路隧道交通管控系统研究

为提高公路隧道交通信息感知水平,实现公路隧道发展数字化、智能化运营管理需求,基于雷视融合感知技术,建立了公路隧道交通管控系统,通过时空匹配、ROI目标融合和距离融合方式依次实现雷视融合感知;构建了公路隧道交通管控系统体系架构,包括设备层、通信层、数据层、应用层和用户层5个层次;以雷视融合、数字孪生等关键技术驱动,建立了三维实景化管控、数据分析研判、应急联动管控和信息共享四大应用平台,实现了全息感知、多源融合、事件研判、辅助决策、智能控制、精细管理等功能。通过济莱高速公路隧道群实例证明:基于雷视融合的公路隧道交通管控系统可精准感知隧道运行状态,为公路隧道信息感知和智能化管控提供技术支撑。