基于单片机89S52的煤气泄漏监测与报警系统设计

设计一种基于单片机技术的智能型煤气监控系统,可对煤气浓度进行智能地实时检测和监控、报警,还能实现自开启和关闭煤气管道阀门,经过多次运行,精确度、灵敏度和稳定性均达到设计要求,且造价低,操作方便,可广泛用于智能报警器及监控系统.     

基于单片机的无线安全报警系统的设计与实现

本文介绍了一种基于单片机的无线安全报警系统。系统以AT89S52为控制核心,通过采集烟雾传感器、红外传感器信息,实现对各监控点的智能化控制。该系统可以实现盗情报警、烟雾报警、煤气泄漏报警等功能。发生险情时,系统会产生声光报警,并拨打已设置电话进行通知。经试验测试,该系统性能稳定,抗干扰能力强,具有很高的应用价值。     

大型火力发电厂阀门管理实时在线系统开发与应用

托克托发电有限公司创建600WM火电机组汽水系统阀门综合管理平台,对影响热耗的汽水系统主要阀门泄漏状态实时在线监测和诊断,在线定量分析阀门泄漏状态,异常时系统自动报警,便于点检员根据阀门泄漏程度和泄漏时间制定合理的维修策略。通过工程实践证明,该系统为节能管理、点检员绩效管理、阀门选型优化管理提供分析手段与统计数据。     

基于LonWorks总线的智能安全传感器的研究与实现

本文介绍了一种基于LonWorks总线的智能安全防范报警节点的工作原理．硬件电路和软件实现。这种节点采用Host-Based结构．以MC68332为主处理器．以神经元芯片3150为通信协处理器．具有烟火感探测．煤气泄漏探测和防盗报警的功能。它连接到LonWorks网络上，一旦发生盗情，火灾．煤气泄漏．能立即发出警笛声．同时将警情通过LonWorks总线传递到其它LonWorks节点和监控中心。     

面向老年公寓的智能安防及看护系统设计研究

设计了一种老年公寓使用的嵌入式无线智能安防与看护系统,系统主要包括安防及看护两个主要部分。安防的主要功能有视频监控、烟雾报警、天然气泄漏报警等;看护功能包括健康监测、紧急事件报警、跌倒报警、室内外定位等。设计了室内智能安防监控装置及室内定位系统两大主要硬件模块。该系统是对现有老年公寓功能的补充、完善,可使老人在更安全的环境中颐享天年。     

江苏省机电新产品介绍11则

江苏省机电新产品介绍１１则ＲＬＢＱ煤气ＹＬＢＱ液化气泄漏自动报警切断器由吴江市北库电器厂按照中国专利（专利号９１２０１７４９．Ｘ）进行试制和生产的ＲＬＢＱ煤气和ＹＬＢＱ液化气泄漏自动报警切断器，具有结构先进合理、新颖、灵敏度高、抗干扰性强、性能稳定、...     

新型煤气熄灭检测系统的研究

介绍煤气泄漏时超前报警的装置.系统能在无人参与的情况下,自行点燃煤气并持续报警一段时间.检测系统中采用了互换性强,灵敏度高,不受周围环境影响的P—N型温度传感器,保证了检测中的可靠性.     

基于图像处理的工业阀门气体泄漏监测法

目前监测工业阀门气体泄漏的方法多种多样,但是采用图像处理技术的比较少,虽然现场安装了工业摄像头,但是也只能在监控室进行人工监控。本文采用大恒图像提供的工业智能摄像机和云台组成的CCD光学监控系统,结合相关的分析软件进行在线监测,并且利用图像处理技术设计了相应的气泄漏监测系统。通过对阀门背景图像的采集,对图像进行增强、滤波等处理后能较好的识别、判断出阀门发生泄漏的情况,这为泄漏检测、监测的新技术奠定了一定的基础,也使图像技术更好、更广泛地应用于工业生产中。     

浙江省永嘉振华机械厂

智能式阀门测试机是在YFC系列液压阀门测试机的基础上增加了泄漏量自动定量检测系统的新型阀门测试设备，除具备YFC系列产品一切功能外，还能对各类阀门作气、液密封试验，     

浅析天然气制甲醇装置转化放空阀性能优化

根据海洋石油富岛有限公司甲醇二期转化系统放空阀设计原理和技术要求，以及该阀门使用过程中的缺陷，将原阀门通过新工艺优化阀门的阀内件，使原设计选型在用阀门的泄漏量等级由IV提升至V，彻底解决了转化系统转化气泄漏量大的问题，达到了减少转化气消耗，实现了节能降耗的目的。     

燃气取暖器的自动点火和缺氧保护设计

燃气取暖器的点火方式一般是手动的，该文介绍一种通过单片机控制来实现自动循环点火和缺氧保护的燃气取暖器的硬件和软件设计，它克服了手动式取暖器点火操作不便，控温不精确和不能显示温度等缺点，并具有自动报警功能。     

Prediction method of ball valve internal leakage rate based on acoustic emission technology

Valves on natural gas transmission pipelines are prone to internal leakage due to the influence of environment, transportation medium, misoperation and other factors. Therefore, timely and accurate detection of valve internal leakage is of great significance to the safe operation of the pipelines. As a non-destructive testing method, acoustic emission (AE) technology can be used for online detection of internal leakage of valve. In order to improve the accuracy of AE technology for detecting valve internal leakage, a ball valve internal leakage detection method based on acoustic emission technology is proposed. Firstly, the AE signal generated by the internal leakage of the ball valve is detected by AE sensor, and the AE signal is denoised by wavelet packet threshold denoising. Secondly, the characteristic parameters with high correlation with the internal leakage rate of the ball valve are selected by using the correlation coefficient method to form the sample feature set. Finally, the mathematical model between the internal leakage rate of the ball valve and the characteristic parameters is established by using the sparrow search algorithm to optimize the backpropagation neural network, and to predict the internal leakage rate of the ball valve. An experimental platform is built to verify that the proposed method can predict the internal leakage rate of the ball valve more accurately. It provides strong technical support for the safe operation of natural gas transmission pipelines.     

电气消防技术在上海世博会主题馆中的应用

分析了上海世博会主要场馆之一的主题馆的建筑功能格局,针对主题馆建筑形式和功能的多样性,采取了多种火灾探测系统,如空气采样系统、红外火灾探测技术、智能型感烟感温探测系统等,同时也在设计上考虑了较为先进的智能应急疏散系统、漏电电气火灾监控系统,以及智能型分布式消防报警系统平台。     

Internal leakage rate prediction and failure diagnosis of buried pipeline ball valve based on valve cavity pressure detection

— Ball valve is a key fluid control equipment used extensively in oil and gas pipelines. The online detection and failure diagnosis of the internal leakage of the ball valve is of great significance to ensure the safety operation of natural gas transmission pipelines. This paper proposes a prediction method of the internal leakage rate and a diagnosis method of the failure mode of the buried pipeline ball valve based on valve cavity pressure detection. Firstly, the valve cavity pressure signal generated by the internal leakage of the ball valve is detected by the pressure sensor, and the valve cavity pressure signal is denoised by wavelet threshold denoising. Then, the back propagation (BP) neural network has the disadvantage of unstable learning ability, so the BP neural network is optimized by chaos sparrow search optimization algorithm (CSSOA-BP). Finally, the prediction model of the ball valve internal leakage rate and the diagnosis model of the ball valve failure mode are established by using CSSOA-BP neural network and the characteristic parameters of the valve cavity pressure signal. To verify the performance of the prediction model and the diagnosis model of CSSOA-BP neural network, the predictive results and diagnostic results are compared with those of the sparrow search algorithm optimization BP (SSA-BP) neural network and BP neural network. The experimental results show that the maximum prediction error of CSSOA-BP neural network is the smallest, which is 13.6%. The accuracy of the diagnostic results of CSSOA-BP neural network is the highest, which is 83.3%. It indicates that the proposed method can achieve better predictive results of the ball valve internal leakage rate and more accurate diagnostic results of the ball valve failure mode.     

基于超声阻抗识别的阀门填料密封气体泄漏在线检测

目前阀门填料密封缺乏一种适用面广、成本低、精度高的气体泄漏在线检测技术,为此提出一种基于超声阻抗识别的阀门填料密封气体泄漏在线检测方法,该方法通过收集阀杆处泄漏的气体,使之通入检测液体中产生气泡,通过超声传感器识别气泡的阻抗来对气泡进行计数,从而实现气体泄漏量的测量。搭建基于高速摄像的气泡上浮动力学实验装置,系统研究采用水和离子液体作为检测液体对气体泄漏检测精度的影响,设计了超声传感信号采集和无线通信的软硬件系统,编制了APP程序,实现了阀门填料密封气体泄漏远程在线检测,检测值的误差小于5%。     

天然气管道球阀内漏发声机理及检测试验

球阀作为高压天然气输送管道的主要设备,其内漏时的喷流气体会产生声发射信号,通过研究该声发射信号特征规律将有助于阀门内漏流量量化检测。针对这一问题,进行了天然气输送管道球阀内漏发声机理和检测试验研究,分析了阀门内漏声发射现象产生的机理和内漏流量检测评价方法。在此基础上,应用声发射检测系统对3种不同尺寸内漏球阀进行了检测试验,通过试验分析了球阀在不同内漏流量下的声发射信号频谱特征分布规律,并采用小波包分析方法进行信号特征参数(信息熵、均方根、频域峰值)提取。拟合特征参数与内漏流量关系曲线,采用R~2(确定系数)指标对曲线拟合程度进行评价,评价结果表明,采用均方根值(root mean square,简称RMS)的曲线拟合程度最高(R2为0.979),可以用于天然气输送管道球阀内漏流量的量化检测。     

基于GSM的燃气报警系统

介绍了一种基于GMS的煤气报警系统,该系统利用AT89C52单片机实施总控。通过对各个装有可燃气体探测器的客户端进行不间断的扫描,将扫描后的信息通过无线的方式传输到单片机,由单片机对其进行鉴别并发出报警信号,最后通过GSM模块发送手机短信告知用户。     

Design and experimental research of internal leakage detection device of buried pipeline ball valve based on valve cavity pressure detection

Valve is a key control component in the oil and gas long-distance pipelines, and the internal leakage detection of the valve has important research significance and application value. In this paper, a new method for detecting internal leakage of the buried pipeline ball valve based on the pressure change of the valve cavity was proposed. Firstly, a simplified internal leakage model of ball valve was established, and the change law of valve cavity pressure under different openings was obtained by finite element simulation. Secondly, a set of detection device was designed based on the internal leakage principle of buried ball valve and an experimental platform of ball valve internal leakage was built. Then, the pressure signal of the ball valve cavity under different openings and different pressures was collected by the pressure sensor, and the relationship between the power source pressure, the opening and the time required for the valve cavity pressure to reach equilibrium was established. Finally, the internal leakage degree of ball valve was simulated by ball valve opening and the Back Propagation (BP) neural network was selected to invert the ball valve opening. The inversion results showed that the maximum relative error of the liquid and gas experiment were 13.4% and 19.1%, respectively. The inversion results also verified the feasibility of BP neural network in the inversion calculation of the internal leakage degree of the ball valve, which provides guidance for the study of the classification of the internal leakage degree. The experiment and inversion results show that the proposed method can realize the detection of the internal leakage of the buried ball valve, which provides application reference in practice.