黄淮海地区干热风灾害致灾因子时空特征分析

黄淮海地区是我国冬小麦主产区,也是干热风灾害危害最重、影响最广的地区,本研究利用黄淮海冬麦主产区81个站点1961-2017年的逐日气象数据和冬小麦生育期资料,分析了该地区小麦成熟期和干热风致灾因子的时空变化特征。在81个测站中,有23个成熟期提前趋势显著或极显著,但大部地区成熟期变化趋势不显著,有63%的站点未通过显著性检验。对干热风致灾因子达标日数和相似系数的分析表明,达到干热风灾害阈值的概率依次为14:00风速>14:00相对湿度>日最高气温,最高气温是形成干热风的主要限制因素,轻干热风的发生最高气温和相对湿度起主要作用,重干热风则是高温胁迫起决定作用,低湿条件使胁迫加重,风速只起辅助作用。揭示了该地区干热风危害总体减轻的气象条件基础,即干热风3要素表现为最高气温略降、14:00相对湿度略增、14:00风速明显减小的特征,3要素均向有利于减轻干热风发生的方向变化,对于冬小麦籽粒灌浆和产量形成是有利的。但灌浆成熟期内最低气温的显著升高,意味着气温日较差减小、小麦夜间呼吸消耗增大,对其干物质积累和产量形成带来潜在不利影响。     

Process loss prevention of petrochemical process: A case study of the flashing accident of the storage tank on acrylonitrile-butadiene-styrene powder in Taiwan

Qualitative analysis, process hazard analysis, thermal evaluation, and fault tree analysis were applied to a flashing accident involving a storage tank that contained acrylonitrile-butadiene-styrene (ABS) powder in Taiwan. The accident was caused by combustible powder attached to the inner wall of the tank reaching a high temperature and then melting. Thereafter, the molten powder became glue-like and dropped onto the ABS powder, burning at the tank bottom, causing decomposition of the styrene and butadiene derivatives as well as other combustible gases. The high concentration of combustible powder and low ignition temperature triggered the powder, initiating a dust explosion. Finally, we analyzed the findings of each method and examined the properties of ABS powder, realizing that the root cause of the accident included an insufficient understanding of the characteristics of ABS and the failure to comply with the management procedures of hot work. Recommendations and countermeasures were proposed that could proactively ameliorate process safety.     

Real-time leak detection in oil pipelines using an Inverse Transient Analysis model

Based on Inverse Transient Analysis (ITA) method, a real-time leak detection method is proposed to capture leak location and the associated leak rate in oil pipe conveyance systems. In the proposed approach, location and flow rate of leak (if any), the fluid properties, as well as physical parameters of the system, are calculated in consecutive periods through minimizing the discrepancy between the calculated and measured flow parameters of the system. The method of characteristics is employed to numerically calculate the transient responses of the system and the genetic algorithm is utilized as the optimization engine. The proposed approach was applied to several real pipeline systems in which the required transient flow data are either directly collected from the field or fabricated with a third-party numerical software. Extensive numerical explorations were conducted to investigate the performance of the proposed method in real-time leak detection and to determine the extent to which field data errors, stemming from Supervisory Control and Data Acquisition (SCADA) systems and measurement equipment, affect the leak flow rate and location detectability of the proposed approach. The results show that the proposed approach provides promising results under a variety of transient and steady-state flow conditions even in the case with small leak flow rate of around 2% of the line rate. The results also reveal that the noises in the measurement data and the errors originated from SCADA systems do not significantly compromise the leak detectability of the proposed approach, confirming that the proposed approach can be utilized in practice.     

Correction model for CO detection in the coal combustion loss process in mines based on GWO-SVM

Accurate detection of CO gas is crucial to the prevention of coal combustion. Tuneable diode laser absorption spectroscopy (TDLAS) is a reliable method for CO detection during coal combustion. The influences of temperature and pressure cause changes in the line strength and linewidth of the index gases’ absorption spectra, leading to sizable measurement errors. To correct the distortion of the CO absorption spectrum caused by temperature and pressure fluctuation, a compensation model based on the grey wolf optimizer–support vector machine (GWO–SVM) was proposed. The results were compared with those of the single SVM, the back propagation neural network (BPNN), and multiple regression analysis (MRA). MRA was revealed to result in the lowest accuracy, which indicated that MRA is not ideal for compensation in TDLAS. The hyperparameter selection of the SVM had the disadvantages of randomness and blindness, which led to instability and large errors. The BPNN achieved better correction in the training stage, but severe overfitting occurred in the testing stage. The modified results revealed that the GWO–SVM model had higher accuracy and stability than the other models. It effectively inhibited the effects of temperature and pressure on the measured concentration and greatly improved the measurement accuracy. The equipment is thus suitable for CO gas detection with the aim to preventing coal combustion loss, and it can be further applied to loss prevention in other process fields.     

Evaluation of thermal hazard characteristics of four low temperature reactive azo compounds under isothermal conditions

The polymerization reaction can lower the threshold of the required energy by the initiator to improve the efficiency of the overall process reaction. Emerging polymerization initiators are also a major focus of process improvement and technological progress. Azo compounds (azos), which used in dyeing applications, are subsequently used in polymerization reactions due to their highly exothermic reaction characteristics. Although higher heat release can promote polymerization and modify the product, heat generation may also cause process hazards.These thermal hazard parameters were studied by selecting dimethyl 2,2′-azobis(2,4-dimethylvaleronitrile) (ABVN), 2,2′-azobis(2-methyl propionate) (AIBME), 2,2′-azobis(2-methylpropionamide) dihydrochloride (AIBA), and 2,2′-azobis(isobutyronitrile) (AIBN), which are common azo initiators at present. Thermal hazards are closely related to the reaction kinetics of the substance itself. The form of the reaction, the apparent activation energy and the thermodynamic parameters of the exothermic mode were also obtained.Kinetic analysis of the actual process using the experimental data of the isothermal calorimetry model is rarely used in the evaluation of related thermal hazard characteristics. The simulation results revealed the kinetic azo models and were further applied to calculate the runaway situations of azo under specific boundary conditions.     

超声导波技术在长输管道跨越段腐蚀检测中的应用

管道跨越段的检测一直是管道检验检测的难题之一,本文运用英国TWI集团Teletest Focus+MK4导波设备,对某在役的长输管道,综合选择了河流、沟壑、高速公路、水渠等多种不同服役环境管段,管径DN200至DN350不等6个跨越段进行检测,并进行案例分析.实践表明,导波检测技术对跨越段管道的单边检测距离在100m左...     

起重机主梁变形三维激光扫描检测技术研究

在役起重机主梁变形是导致起重机事故发生的重要因素之一.国内现阶段对于起重机主梁变形检测还停留在传统的检测方法.其检测低效率、实施高风险、结果多误差等因素使传统检测方法暴露出诸多弊端.文章通过对比验证,引入三维激光扫描检测方法,对起重机主梁腹板进行扫描并建模分析得出主梁腹板整体变形的结果,此方法可以提高腹板变形检测数据精...     

复合物流模式下的机械加工车间安全布局设计

机械加工车间的物流形式不唯一,一般是小推车、天车等多种物流形式的复合,本文以河南省某机械加工车间为例,运用系统布局设置(SLP)方法,并综合考虑复合物流与危险源,进行车间安全布局.首先按照类型将车间分成13个区域,之后应用单纯型法核算车间内的复杂物流量,然后基于曼哈顿距离实现系统布局设置(SLP),最后综合考虑车间内的...     

基于STPA的城市埋地燃气管道第三方破坏风险因素分析

城市埋地燃气管道输送介质易燃易爆、埋设环境人口密集、施工频繁,极易受到来自第三方的破坏,直接威胁人们的生命财产安全,因此对第三方破坏的风险因素分析和防治十分必要。系统理论过程分析法(STPA)是一种基于系统理论的风险分析方法,该方法不同于传统的风险分析方法——将事故视为由初始事件诱发的一系列事件造成的后果,而是对燃气系统从设计、开发和运行过程进行分析,建立系统安全控制结构,通过分析控制缺陷和缺陷致因实现对风险因素的分析。研究分析出24个燃气管道第三方破坏的风险因素,针对风险因素提出了建议,为燃气管道第三方破坏的风险控制提供依据。     

危废焚烧工程火灾危险性分析及消防系统的选择

为更好地指导危废焚烧工程的消防设计,分析了《危险废物集中焚烧处置工程建设技术规范》(HJ/T 176—2005)、《建筑设计防火规范(2018年版)》(GB 50016—2014)、《石油化工企业设计防火标准(2018年版)》(GB 50160—2008)、《火力发电厂与变电站设计防火标准》(GB 50229—2019)、《钢铁冶金企业设计防火标准》(GB 50414—2018)和《火灾自动报警系统设计规范》(GB 50116—2013)的相关条文,明确了危废焚烧工程重点区域的火灾危险性,对各种火灾报警及灭火系统的适用性进行了对比,并对消防系统的选择提出了建议。