AlF3贮仓料位计在线监控系统开发与应用

针对铝电解原材料中AlF3与Al2O3自动配料不准和难于观察及控制的现象，我厂开发应用了AlF3贮仓料位计，并与微机网络相连，实现了远程测量与在线监控，使AlF3配料更准确更均匀，电解质分子比更稳定，电解槽生产低耗高效。     

A demerit-fuzzy rating system,monitoring scheme and classification for manufacturing processes

For monitoring online manufacturing processes, the proportion of weights imposed on each type of product’s defects (nonconformities or demerits) has a profoundly effective impact on control charts’ performance. Apparently, the demerit-chart approach is superior than the widely-used c-chart scheme, because it allows us to place relative precise weights (real numbers) on defects according to their distinctly inferior degrees affecting the product quality so that the abnormal variations of processes can be literally exposed. However, in many applications, the seriousness of defects is evaluated partially or entirely by the inspectors’ perceptive judgement or knowledge, so with the precise-weight assignment, the demerit rating mechanism is considered to be somewhat constrained and subjective which inevitably leads to the targeted manufacturing process with limited and possibly biased information for online surveillance. To cope with the drawback, a demerit-fuzzy rating system and monitoring scheme is proposed in this paper. We first incorporate fuzzy weights (fuzzy numbers) to properly reflect the severity measures of defects which are categorized linguistically. Then, based on properties of fuzzy set theory and proposed approaches for fuzzy-number ranking, we develop the demerit-fuzzy charting scheme which is capable of discriminating process conditions into multi-intermittent statuses between in-control and out-of-control. This approach improves the traditional process control techniques with the binary-classification restraint for the process conditions. Finally, the proposed demerit-fuzzy rating system, monitoring scheme, and classification is elucidated by an application in garment industry to monitor textile-stitching nonconformities conditions.     

Estimating oxygen consumption from heart rate using adaptive neuro-fuzzy inference system and analytical approaches

In new approaches based on adaptive neuro-fuzzy systems (ANFIS) and analytical method, heart rate (HR) measurements were used to estimate oxygen consumption (VO₂). Thirty-five participants performed Meyer and Flenghi's step-test (eight of which performed regeneration release work), during which heart rate and oxygen consumption were measured. Two individualized models and a General ANFIS model that does not require individual calibration were developed. Results indicated the superior precision achieved with individualized ANFIS modelling (RMSE = 1.0 and 2.8 ml/kg min in laboratory and field, respectively). The analytical model outperformed the traditional linear calibration and Flex-HR methods with field data. The General ANFIS model's estimates of VO₂ were not significantly different from actual field VO₂ measurements (RMSE = 3.5 ml/kg min). With its ease of use and low implementation cost, the General ANFIS model shows potential to replace any of the traditional individualized methods for VO₂ estimation from HR data collected in the field.     

基于无线传感网的智能环境监控系统设计

针对传统环境监控系统存在的缺点,设计了一种新型无线传感器网络的环境监控系统。系统采用分布式融合结构,通过终端节点的多种传感器采集环境信息,终端对信息预处理后实时将信息传输到协调器。协调器融合各终端传感器信息,提取精确信息上传至融合中心,融合中心通过分析数据发布命令给控制中心,控制中心利用单片机驱动电机可以自动或手动控制风机和水泵对环境进行调节和控制。同时,系统还具有自动预警功能。通过验证,该系统稳定、可靠,能广泛应用于不同领域的分布式多点环境监控。     

基于支持向量机的印刷机远程故障诊断监测平台设计

为实现高端印刷机网络化、信息化、智能化,提出一种基于支持向量机(SVM)的印刷机远程网络故障诊断监测平台。该系统采用Windows系统下的Apache、MySQL和PHP(WAMP)开源环境,能够方便地建立远程服务站点,实现B/S架构的网络系统,设计一个基于TCP/IP协议的数据传输接口,通过客户端将现场设备数据发送给站点服务器,并存入本地数据库,基于专家系统建立诊断知识库,通过支持向量机进行故障的分类诊断。该平台具有通用性,可根据对象不同更改数据库结构。实际运行情况表明,该系统运行稳定。     

汽车胎压监测系统的设计及其通信抗干扰研究

针对大多数直接式汽车胎压监测系统组件集成度低、体积和功耗较大等问题,提出了一种基于短距离无线通信ZigBee技术的新型胎压无线监测系统的设计。主要采用TI的CC2530芯片和英飞凌SP12集成式数字传感器,实现对汽车轮胎内部状态的实时监测。采用软硬件协同设计以降低系统功耗,并通过多点轮询通信方式和ZigBee高级加密设置保障了其无线通信的抗干扰能力。     

基于PLC的船舶机舱监测报警系统的改进方案

针对原机舱监测报警系统的老化以及无法表示监测点的具体数值的问题,利用西门子PLC S7-200作为数据的采集和发送单元,利用西门子触摸屏MP377搭载组态软件WinCC flexible 2010,对数据进行实时的监测与报警,同时PLC将机舱监测报警系统所有测点的实时数据发送到轮机长室,实现对机舱主机及付机的各项参数的实时监测。改进的监测系统已经投入使用,事实证明该系统安全可靠。     

风力发电机组无线监测系统设计

针对目前风力发电机组有线监测系统安装、维护不便和监测点有限等问题,设计了一种基于Zig Bee的无线传感器网络监控系统。通过网关将Zig Bee协议转换成TCP/IP协议后,Zig Bee子网采集的数据,经光纤网络传送至中心服务器,并通过登陆界面来显示和控制无线监测系统,实现风力发电机组的智能化监测。测试表明:测量精度达到设计要求,实现高效率、高可靠性的监测,并通过Internet提供远程数据服务,进行离线数据分析和挖掘。     

防范路由劫持的协同监测方法

路由劫持是当前Internet域间路由系统（BGP）所面临的最严重的安全威胁之一,但目前仍缺乏有效的防护手段.将自治系统（autonomous system,简称AS）基于BGP路由信息自我发现路由劫持的概率定义为对路由劫持的免疫能力,对该免疫能力进行了建模,并给出了AS自我免疫的充分条件和必要条件以及该免疫能力的上界.实验结果发现,80%以上的AS对路由劫持完全没有免疫能力,仅不超过0.26%的AS具有大于85%的免疫能力.对AS免疫过程的进一步分析,揭示了造成AS免疫能力低下的提供商栅栏现象——提供商优先选择客户路由,从而阻止了劫持路由向被劫持者的传播.为了克服提供商栅栏,提高AS的免疫能力,设计了协同监测机制,并提出了一种计算复杂度较低的启发式协同邻居选取策略.该机制无需修改BGP协议,可增量部署.实验结果表明,仅与25个自治系统进行协同,就可以将对路由劫持的免疫能力提高到高于95%的水平.