城市大气环境质量评价模糊识别理论模型

本文提出一种新的大气环境质量评价理论模型——模糊识别模型。提出了大气质量评价的指标综合权重矩阵概念及其确定方法。      

建筑物火灾危险性的模糊评价

依据建筑物火灾危险性的影响因素,应用模糊识别理论及系统安全方法,建立了建筑物火灾危险性的评价指标体系,并应用集值统计方法对各项指标权重进行了处理,将该理论应用到某购物商场火灾危险性评价中,验证了评价模型的准确性,为建筑物防火设计以及安全管理提供了可行的依据。     

复杂背景环境下基于SSD_MobileNet深度学习模型的火焰图像识别研究

针对现有的火灾火焰图像识别方法在光照和红花等类似火焰干扰的复杂环境下存在错检和漏检的问题, 提出一种基于SSD_MobileNet的复杂环境火焰区域标记方法。首先,将深度卷积神经网络SSD300的基础卷积网络VGG16替换为MobileNet网络,应用深度可分离卷积,降低网络参数,进而构建一种火焰图像检测的SSD_MobileNet模型;然后,迁移第一次训练模型所有的卷积层参数,初始化新的待训练模型;最后,加入新的数据样本用于削弱光照、红花等干扰对象的影响。通过与SSD300、以及深度学习的目标检测算法Faster R-CNN和YOLOv3-tiny对比,实验结果表明,构建的火焰检测和火焰区域标记SSD_MobileNet模型的综合性能优于Faster R-CNN和YOLOv3-tiny模型,更适用于实时火焰检测领域。     

Pedestrians under influence (PUI) crashes: Patterns from correspondence regression analysis

Introduction: Alcohol-related impairment is a key contributing factor in traffic crashes. However, only a few studies have focused on pedestrian impairment as a crash characteristic. In Louisiana, pedestrian fatalities have been increasing. From 2010 to 2016, the number of pedestrian fatalities increased by 62%. A total of 128 pedestrians were killed in traffic crashes in 2016, and 34.4% of those fatalities involved pedestrians under the influence (PUI) of drugs or alcohol. Furthermore, alcohol-PUI fatalities have increased by 120% from 2010 to 2016. There is a vital need to examine the key contributing attributes that are associated with a high number of PUI crashes. Method: In this study, the research team analyzed Louisiana’s traffic crash data from 2010 to 2016 by applying correspondence regression analysis to identify the key contributing attributes and association patterns based on PUI involved injury levels. Results: The findings identified five risk clusters: intersection crashes at business/industrial locations, mid-block crashes on undivided roadways at residential and business/residential locations, segment related crashes associated with a pedestrian standing in the road, open country crashes with no lighting at night, and pedestrian violation related crashes on divided roadways. The association maps identified several critical attributes that are more associated with fatal and severe PUI crashes. These attributes are dark to no lighting, open country roadways, and non-intersection locations. Practical Applications: The findings of this study may be used to help design effective mitigation strategies to reduce PUI crashes.     

A deep model method for recognizing activities of workers on offshore drilling platform by multistage convolutional pose machine

The growing diversity of image scenes brings a great challenge to human activity recognition in practice. Traditional activity recognition methods cannot satisfy the demand of precise action recognition in complex scenes. In this work, we build a training set of worker's activities on offshore drilling platform by collecting data from offshore drilling monitor, and then an improved multi-level convolutional pose machine (MCPM) method is proposed and trained to recognize activities of workers on the platforms. In human object detection, a multi-rule region proposal marker algorithm is developed to separate the seawater area, and the ducts of similar personnel is pre-discriminated by support vector machine. We use the characteristics of the human body key-points not affected by complex background noise to assist the detection of the human target. As results, it shown that our method performs better than Faster-RCNN, MobileNet-SSD and SSD algorithms in detecting human target on the offshore drilling platform, and achieves well accuracy in recognizing many key activities. To our best acknowledge, it is the first attempt of using deep model to recognize worker's activities on offshore drilling platform.     

家居安防远程通信系统的设计与实现

设计并实现了一种基于单片机的家居安防远程通信控制系统,主芯片采用凌阳16位单片机,利用传感器和GPRS模块技术,通过手机短信的方式了解家用电器所处环境的温度情况;采用语音识别系统和传感器实时监测家庭安全状况,若有异常,系统会及时发送短信通知主人;利用单片机控制固态继电器并通过GPRS模块远程启动家用电器。设计引入手机短信,通过短信来远程控制家用电器的使用以及自动接收来自家庭安防的各种信息,给人们的家居生活带来便利性和时效性。给出系统总体设计方案、各子系统硬件电路实现和软件设计,并对系统的关键技术进行说明。     

基于属性识别理论的岩质边坡安全综合评价

建立了基于现场监测的安全综合评价体系,对边坡的安全状态进行研究。针对边坡多项目、多测点实测性态多样性的特点,将边坡安全稳定性视为一个属性空间,采用属性识别理论方法对其安全状态进行综合评价,并对底层指标标准化、权重确定等基本问题进行了具体研究。实例研究表明,该方法能充分反映边坡状态的多样性,所得结果比较全面、可靠。     

属性识别理论模型在湖泊水质富营养化评价中的应用

近年来提出的属性识别理论模型已在环境质量评价中有所应用。现将该模型引用到湖泊水质富营养化评价中来 ,并用此模型对福州市山仔水库的水质进行评价 ,其评价结果与运用模糊隶属函数法得到的结果进行比较 ,其结果令人满意。此模型为湖泊水质的富营养化评价提供一种简便实用的评价方法     

属性识别理论模型在环境质量评价中的应用

把近来提出的属性识别理论模型引用到环境质量评价中,经实例分析,与模糊数学模型及综合指数法作了比较,表明属性识别理论模型评价环境质量是合理可行的。     

基于安全控制论的株洲冶炼厂的综合安全评价

对生产经营单位进行安全评价可以有效地预防事故发生,减少财产损失和人员伤亡及伤害,安全评价是安全生产管理的一个重要组成部分。综合安全评价是以安全控制论为理论基础的安全评价法。笔者从现代安全控制论角度,通过系统危险辨识、系统危险控制能力诊断,运用综合安全模型对株洲冶炼厂进行了安全评价。综合安全评价结果表明,一方面,株洲冶炼厂的安全度为56.13,处于临界状态;被评价的系统危险控制指数均为-0.24,说明其安全系统总体状况呈下降趋势。近20年来株洲冶炼厂的伤亡事故伤害频率有明显起伏波动的特点,当前的安全管理形势还非常严峻,应通过对全厂的安全评价,全面提高安全管理水平;另方面,基于安全控制论的综合安全评价是一种有效的安全评价方法,可以在各个大型厂矿得以推广应用。