A novel method of shrimp blanching by CO2 heat pump: Quality,energy, and economy analysis

To reduce the energy consumption of the shrimp blanching process and improve the economic value of the blanched product, a transcritical CO₂ heat pump blanching system (THPB system) was designed in this paper. The trends of astaxanthin were investigated at atmospheric pressure near boiling temperature, combined with the color and structural properties of shrimp samples, and the optimal blanching times of 270 s and 240 s were obtained at 90°C and 95°C, respectively. In contrast to the fuel blanching system (FB system) at 100°C, the annual standard coal consumption of the THPB system with 90°C blanching is decreased by 79%, and the annual operating cost can be saved by CNY 63,800, with a payback period of about 3.13 years.Industrial relevanceBlanching is one of the effective ways to prolong the shelf life of shrimp. However, the research on the blanching time and temperature of shrimp is not comprehensive. In addition, the traditional fuel blanching process has high energy consumption and pollution, and can no longer meet the quality requirements of the modern food processing industry. Heat pump has been shown to have better performance in food drying, but it is less used in blanching. The information presented in this study may provide other insights into food processing.     

应用改进频率调谐的海上小目标检测方法

提出了一种新的基于可见光图像的海上小目标检测方法。由于频率调谐方法将图像空间域整体均值与高斯滤波后差分结果,作为显著性度量的标准,因此当图像背景中存在较多杂波干扰时,显著目标检测效果不理想。提出的方法对基于频率调谐的显著性检测方法进行了改进,首先对图像LAB空间中3个特征分量进行分块,在每个分块区域中应用频率调谐显著性检测方法,进而将其结果合并为总显著图,以检测海上小目标。该方法克服了频率调谐方法,当海面背景中存在大量海杂波,无法有效提取小目标的缺陷。实验结果表明了该方法的有效性。     

Urea-SCR喷雾模拟计算中CFD的模型选择

数值模拟计算的模型选择对计算结果的准确性十分重要,不同的模型产生的不同结果差异很大,该文论述了采用计算流体力学技术模拟urea-SCR喷雾过程的优越性,利用spalart-allmaras模型、标准k-ε模型和标准k-ω模型对喷嘴雾化进行了数值模拟,分析了各模型的收敛性,速度矢量,动压力分布等物理量。结果表明：spalart-allmaras模型存在失真的情况,标准k-ε模型和标准k-ω模型在尿素SCR喷嘴模拟方面的应用是可行的。     

固定式减摇鳍执行机构的模态及动态响应分析

采用有限元法对小型高速船使用的固定式减摇鳍执行机构进行模态分析和瞬态动力响应分析,对减摇鳍执行机构的结构动力性能进行全面分析.结果可为同类减摇鳍执行机构的结构设计提供参考.     

基于Bayes决策的GMDSS模拟评估系统研究

针对全球海上遇险与安全系统的训练需求,开发了新一代多功能GMDSS模拟与评估系统.该系统为多种海上通信设备提供了一个综合的模拟训练平台,具有进行实时通信仿真,规范的通信操作流程演示及对操作训练进行自动评估等多种功能.首先介绍了系统的设计思想和组成功能,然后分析了系统原理与设计架构,并详细阐述基于Bayes决策的评估方法,模块化整合技术,卫星通信状态仿真模型以及系统网络通信实现机制等关键技术.经过实际使用测试表明,该系统功能完善,有较高的稳定性和可靠性.     

基于13X沸石分子筛/MgCl_2的复合吸附剂性能实验研究

复合吸附剂的吸附性能是吸附制冷循环过程中的一个重要参数,基于测试整体成型复合吸附剂吸附性能的需要,本文设计搭建了一种整体成型吸附剂性能测试装置,对复合吸附剂MgCl_2-13X进行了吸附性能测试实验。结果表明:该实验装置中吸附床外侧底部的温度变化速率较接近吸附床内部底部吸附剂的温度变化速率,二者温度变化速率相差0.01~1.9℃/min,整个吸附和脱附过程二者温度的平均值相差约3.24%,能够满足吸附剂性能测试实验的要求。吸附剂性能测试实验及电镜下吸附剂的微观结构表明:浸泡法制备的复合吸附剂的吸附性能与MgCl_2溶液的浓度有关,MgCl_2能够改善13X沸石分子筛的吸附性能,本实验测得当MgCl_2溶液的浓度为15%时所制得复合吸附剂MX3性能最优,其最大吸附量为0.32 g/g,最大吸附速率0.59 g/min,相比单一吸附剂13X沸石分子筛提高了20%。     

基于改进LSTM的航运物流路径轨迹修复研究

目的 提高航运物流路径轨迹信息的挖掘精度和安全效率。方法 对宁波舟山港条帚门水域窄口航道船舶的类型、数量、长度进行统计分析,对货运船AIS物流路径轨迹异常进行识别与修复。考虑船舶实际航行的环境因素,提出一种新的数据纠偏方法。考虑船舶属性与环境因素,以通航宽度和三自由度运动学的转向能力识别异常数据,然后运用Bi-LSTM法对筛选后航运物流路径进行轨迹修复。结果 所提筛选方法不需要轨迹聚类或建立额外的模型进行判别,筛选数据量占总数量的34.26%,修复后的AIS货船物轨迹数据量在原有基础上提升了115.34%。结论 使用文中方法可以有效纠偏和修复异常航运物流路径轨迹数据,为航运物流轨迹数据挖掘提供一定的基础方法。     

基于Logistic模型的人体细菌密度数据分析与优化

目前,随着智能医疗器械的快速发展,日常生活中,医疗器械的PCT(Procalcitonin)测试仪被人们越来越广泛的使用。PCT测试仪主要是用来检测人体感染细菌的有效工具,它自身带有CMOS摄像头,用来采集沾有病毒的试剂卡条上的图像数据。得到若干组的图像数据,并有与之对应的光密度值。由于PCT测试仪采集到的数据处理方面是否能够精确地计算出人体感染细菌密度,是当前值得关注的问题,故在该论文中,采用机器学习的Logistic分析方法,做出详细的数据处理与优化,以此达到精确计算出人体感染细菌密度的目的。首先构造一个经典的Logistic模型,对采集的数据进行处理分析,并使用遗传算法(Genetic Algorithm, GA)对该模型进行计算,以此得出全局最优解。     

Further study on the thermal characteristic of a buried waxy crude oil pipeline during its cooling process after a shutdown

Since the temperature drop of waxy crude oil after a shutdown determines whether the pipeline is able to restart successfully or not, it is necessary to calculate the temperature drop and clarify the characteristic of the thermal process of waxy crude oil pipeline after the shutdown. However, the relevant techniques proposed in the previous researches for this calculation are not accurate enough, due to the complex phase change, non-Newtonian behavior of the fluid, and the transition of different heat transfer mechanisms involved within the physical problem. Therefore, in a companion piece to this paper, a general and accurate mathematical model was proposed for the phase-change heat transfer of waxy crude oil. In this paper, the mathematical model of the waxy crude oil pipeline system after its shutdown is established, based on the phase-change heat transfer model proposed in the companion piece, and the numerical procedure is established for the calculation of the model. With the proposed techniques, the thermal process of the shutdown of waxy crude oil is investigated in detail, and the temperature drop characteristic is clarified on the level of heat transfer mechanism. The research will provide theoretical support for the establishment of shutdown scheme and thermal preservation method for waxy crude pipeline.     

A new general model for phase-change heat transfer of waxy crude oil during the ambient-induced cooling process

The thermal process during shutdown (a stoppage state of the pipeline), of which the essence is an irregular phase-change process accompanied by natural convection, non-Newtonian behavior, and sometimes turbulence, is a critical problem in crude oil transportation engineering. An accurate calculation of the thermal process during shutdown is more than necessary for the safety of crude oil pipeline; however, it faces some challenges due to the complexity of the phase change. In this study, the phase change of waxy crude oil during the cooling process is divided into four stages, which includes a pure liquid natural convection, solid/liquid dispersion natural convection, coexistence of dispersion system natural convection and porous media natural convection, and pure porous media convection, according to different heat transfer mechanisms on different stages. Based on this division, a general phase-change heat transfer model is proposed for the thermal calculation of waxy crude oil during shutdown. Compared with the previous research, this model appropriately includes the influences of non-Newtonian behavior, phase evolution as well as turbulence. With the proposed model, the temperature drop characteristic of a sample pipeline is analyzed and the influencing factors are investigated.