Classification and Integration of Storage and Transportation Engineering Technologies in Potato Producing Areas of China

Considering the development of potato （Solanum tuberosum） industry in China, the existing technologies of potato storage and transportation in the produc- ing area were analyzed through investigation on four main potato production areas. Unear classification was used to conduct the technology classification. According to the technical attributes and characteristics, the potato technologies of storage and transportation in producing area were classified with large classes, middle classes, small classes and subclasses, into the agricultural production area processing and storage engineering technology system, to reveal the structure and functions. Mean- while, the widely used technologies were integrated and summarized into 5 principal technology integration programs, which could be used for the technology integration of the new management subjects such as planting professional cooperatives, family farms, enterprises and so on.

Optimal operation of Internet Data Center with PV and energy storage type of UPS clusters

With the development of green data centers,a large number of Uninterruptible Power Supply(UPS)resources in Internet Data Center(IDC)are becoming idle assets owing to their low utilization rate.The revitalization of these idle UPS resources is an urgent problem that must be addressed.Based on the energy storage type of the UPS(EUPS)and using renewable sources,a solution for IDCs is proposed in this study.Subsequently,an EUPS cluster classification method based on the concept of shared mechanism niche(CSMN)was proposed to effectively solve the EUPS control problem.Accordingly,the classified EUPS aggregation unit was used to determine the optimal operation of the IDC.An IDC cost minimization optimization model was established,and the Quantum Particle Swarm Optimization(QPSO)algorithm was adopted.Finally,the economy and effectiveness of the three-tier optimization framework and model were verified through three case studies.

对Recursive Flow Classification算法的研究

网络的迅速普及,使得数据包分类技术广泛应用到网络通信领域的各个方面,这也加速了人们对数据包分类算法的研究。本文就算法的分类步骤、评价算法的性能指标等作了简单介绍,并对更适合实际应用的RFC算法进行了详细阐述,以及提出了对RFC算法的改进方法。

Classification methodology for spare parts management combining maintenance and logistics perspectives

Spare parts management is a function of maintenance management that aims to support maintenance activities,giving real-time information on the available quantities of each spare part and adopting the inventory policies that ensure their availability when required,minimizing costs.The classification of spare parts is crucial to control the vast number of parts that have different characteristics and specificities.Spare parts management involves mainly two areas,maintenance and logistics.Therefore,the integration of both input information is recommended to make decisions.This paper presents a multicriteria classification methodology combining maintenance and logistics perspectives that intends to differentiate and group spare parts to,subsequently,define the most appropriate stock management policy for each group.The methodology was developed based on a case study carried out in a multinational manufacturing company and is intended to be included in its computerized maintenance management system to support decision-making.

Analysis on Classified Storage and Traceability of Construction Project Archives

With the development and progress of economic construction and market economy,urban construction is also developing rapidly.In the field of construction engineering,a large number of construction engineering files are constantly being produced and accumulated.Therefore,the role of file management is becoming more and more important.The archives are the true records of the whole process of project construction,including the information on the whole process from project design to completion,and are also the main basis for operation management after project delivery.However,there are many aspects to construction project archives,and there are many problems.Nowadays,the classification and preservation of archives are receiving more and more attention.In this article,the origin and development history of construction project archives is first expounded,and its attributes and importance are analyzed.Secondly,the differences between ancient and modern archives management are compared,and at the same time suggestions on improving the archives’traceability system,strengthening the use of archives,and establishing and improving archives management are given.In this paper,we summarize the problems in archives sorting and put forward specific solutions to improve the standardization and systematic management of archives work and enhance the authenticity and integrity of construction project archives.

Research on energy storage capacity configuration for PV power plants using uncertainty analysis and its applications

Compensating for photovoltaic(PV)power forecast errors is an important function of energy storage systems.As PV power outputs have strong random fluctuations and uncertainty,it is difficult to satisfy the grid-connection requirements using fixed energy storage capacity configuration methods.In this paper,a method of configuring energy storage capacity is proposed based on the uncertainty of PV power generation.A k-means clustering algorithm is used to classify weather types based on differences in solar irradiance.The power forecast errors in different weather types are analyzed,and an energy storage system is used to compensate for the errors.The kernel density estimation is used to fit the distributions of the daily maximum power and maximum capacity requirements of the energy storage system;the power and capacity of the energy storage unit are calculated at different confidence levels.The optimized energy storage configuration of a PV plant is presented according to the calculated degrees of power and capacity satisfaction.The proposed method was validated using actual operating data from a PV power station.The results indicated that the required energy storage can be significantly reduced while compensating for power forecast errors.

Grading Evaluation and Ranking of CO_(2) Sequestration Capacity in Place(CSCIP) in China’s Major Oil Basins:Theoretical,Effective,Practical and CCUS-EOR

Because it is necessary to focus on differences in regional oil reservoirs and determine the priority of the CCUSEOR(Carbon capture,utilization,and storage-enhanced oil recovery) deployment under China’s net-zero CO_(2) emission target,systematic and regional evaluations of CO_(2) sequestration capacity in major oil basins are needed considering the geofluid properties―carbon sequestration capacity in place(CSCIP)―where the ’in place’ indicates actual geological formation conditions underground,e.g.,formation temperature and pressure.Therefore,physical properties of geofluids at different depths with different geologic temperatures and pressure conditions are considered for the CO_(2) sequestration capacity evaluation in place,including shallow(800–2000 m),medium(2000–3500 m),deep(3500–4500 m) and ultra-deep(4500–8000 m) depth intervals.A modified evaluation model with four grading levels is proposed,combining the P-V-T equations of state(EOS) and evaluation equations of the Carbon Sequestration Leadership Forum(CSLF),including theoretical,effective,practical,and CCUS-EOR CSCIP,which is more consistent with geofluid physical properties underground,to make the grading evaluation and ranking of the CSCIP in China’s major oil basins.Then,the grading CSCIP of 29 major oil basins in China was evaluated based on the petroleum resources evaluation results of the Ministry of Natural Resources of China(MNRC) during China’s 13th Five-Year Plan period.According to the grading evaluation results,suggestions for China’s CCUS-EOR prospective regions are given as follows:shallow oil fields of the Songliao Basin in Northeast China,shallow–medium oil fields of the Bohai Bay Basin in East China,medium oil fields of the Zhungeer Basin in West China,and medium oil fields of the Ordos Basin in Central China;all are potential areas for the CCUS-EOR geological sequestration in China’s onshore oil basins.In addition,in China’s offshore oil basins,shallow–medium oil fields of the Bohai Sea and shallow oil fields of the Pearl River Mouth Basin have potential for CCUS-EOR geological sequestration.

An Efficient IIoT-Based Smart Sensor Node for Predictive Maintenance of Induction Motors

Predictive maintenance is a vital aspect of the industrial sector,and the use of Industrial Internet of Things(IIoT)sensor nodes is becoming increasingly popular for detecting motor faults and monitoring motor conditions.An integrated approach for acquiring,processing,and wirelessly transmitting a large amount of data in predictive maintenance applications remains a significant challenge.This study presents an IIoT-based sensor node for industrial motors.The sensor node is designed to acquire vibration data on the radial and axial axes of the motor and utilizes a hybrid approach for efficient data processing via edge and cloud platforms.The initial step of signal processing is performed on the node at the edge,reducing the burden on a centralized cloud for processing data from multiple sensors.The proposed architecture utilizes the lightweight Message Queue Telemetry Transport(MQTT)communication protocol for seamless data transmission from the node to the local and main brokers.The broker’s bridging allows for data backup in case of connection loss.The proposed sensor node is rigorously tested on a motor testbed in a laboratory setup and an industrial setting in a rice industry for validation,ensuring its performance and accuracy in real-world industrial environments.The data analysis and results from both testbed and industrial motors were discussed using vibration analysis for identifying faults.The proposed sensor node is a significant step towards improving the efficiency and reliability of industrial motors through realtime monitoring and early fault detection,ultimately leading to minimized unscheduled downtime and cost savings.

Studies on Tomato Seedling Quality Indices Under Simulated Shipping and Storage Conditions

Indices of the tomato seedling quality maintenance level after production before field planting were studied through simulated experiments, small—scale operation, indoor analyses and measurements, and field observation. The results showed that under simulated shipping and storage conditions, seedling quality change following different durations (days) of shipping and storage was correlated significantly or even very significantly with certain physiological and morphological indices. With various measured indices following different periods of shipping and storage treatment subjected to multinomial successive regressive correlation analysis, the principal factors influencing seedling quality maintenance level are identified to be chlorophyll content →dry short weight → leaf freshness index in order of their importance. Significance analysis with multinomial fitted equation indicated that correlations between any one of above three factors and the growth index after field planting reached very significant difference level.

Maintenance of Storage Batteries in Automatic Meteorological Observation Stations

Firstly, the definition, structure and working principles of storage batteries in automatic meteorological observation stations were stated simply, and then the daily maintenance of the storage batteries were introduced according to previous practical experience, finally typical faults of storage batteries were analyzed. Practical evidence shows that timely external maintenance and enough supply of electrolyte can greatly extend the lifespan of storage batteries.

ERFC:An Enhanced Recursive Flow Classification Algorithm

Packet classification on multi-fields is a fundamental mechanism in network equipments,and various classification solutions have been proposed.Because of inherent difficulties,many of these solutions scale poorly in either time or space as rule sets grow in size.Recursive Flow Classification（RFC） is an algorithm with a very high classifying speed. However,its preprocessing complexity and memory requirement are rather high.In this paper,we propose an enhanced RFC（ERFC） algorithm,in which a hash-based aggregated bit vector scheme is exploited to speed up its preprocessing procedure.A compressed and cacheable data structure is also introduced to decrease total memory requirement and improve its searching performance.Evaluation results show that ERFC provides a great improvement over RFC in both space requirement and preprocessing time.The search time complexity of ERFC is equivalent to that of RFC in the worst case; and its average classifying speed is improved by about 100%.

HFACS-MI改进模型在危险化学品仓储事故人因分析中的应用

为了研究危险化学品仓储事故的关键人因,通过人因分析与分类系统-煤矿(Human Factors Analysis and Classification System-Mine,HFACS-MI)改进模型从员工的不安全行为、影响不安全行为的前提条件、监督行为、组织影响和企业外部因素5个层次系统地分析65起危险化学品仓储事故,并运用卡方检验和让步比分析了产生不安全行为的原因和各层次间的内在关系。结果表明,外部管理、组织过程、监督不充分、个人因素、技能差错和违规是导致危险化学品仓储事故发生的重要因素。HFACS-MI改进模型上下层级的人为因素间存在显著的因果关系,且主要的危险化学品仓储事故致因路径共有5条,其中“外部管理因素—组织过程漏洞—监督不充分—个人因素—违规”是最关键的致因路径。改进的HFACS-MI模型可以有效分析危险化学品仓储事故人因因素。

南山口抽水蓄能电站地下厂房围岩工程特性评价

基于数据库的三维地质建模已广泛应用于地质勘测领域,本文以南山口抽水蓄能电站为例,展示利用CnGIM_ma三维地质软件构建的地下厂房围岩的三维模型,并通过对围岩进行等级分类准确评估其力学参数。结果显示,利用三维模型能更准确地反映岩体的真实条件,为地下厂房的建设及开发提供参数基础,并及时呈现地质信息成果。

河南省药品批发企业GSP监督检查储存与养护缺陷项目分析

目的:通过对2020-2022年河南省药品批发企业GSP监督检查中储存与养护环节的共性问题进行分析,为药品批发企业规范开展储存与养护工作提供建议。方法:对2020-2022年河南省GSP监督检查的药品批发企业存在的缺陷进行汇总,通过Apriori算法寻找各缺陷项目与储存与养护章节下缺陷项目的相关性,统计分析药品储存与养护章节存在的问题,并提出建议。结果:储存与养护缺陷在药品批发企业缺陷中出现的频次最高,主要缺陷*08308、一般缺陷08405出现的频次高、占比大,一般缺陷06501、08305与04603的相关性需要引起重视。结论:药品批发企业应强化自身主体责任意识,加强人员岗位培训,建立健全质量管理体系与制度,借助科学技术规范开展经营活动。药品储存与养护的从业人员应增强法律意识,遵守职业道德,保障药品质量安全,促进药品流通行业持续健康发展。

基于神经网络信息融合的油气藏信息存储系统设计

针对现行油气藏信息存储系统鲁棒性、安全性较低的问题,提出了基于神经网络信息融合的油气藏信息存储系统设计方案。在系统硬件方面,通过对信息存储器选型与设计,完成系统硬件设计;在系统软件方面,利用神经网络信息融合技术对油气藏信息分类,并设计数据库对分类的油气藏信息存储。实验结果表明,在信息存储过载情况下系统崩溃率未超过2%,系统安全性系数在0.8以上,具有较强的鲁棒性与安全性。

老年维持性腹膜透析病人Triangle分层分级管理体系的构建

目的:构建适合老年维持性腹膜透析病人的分层分级管理体系,为老年腹膜透析病人的管理提供参考依据。方法:以Triangle分层分级管理模式为理论依据进行文献检索,通过半结构式访谈对15名从事腹膜透析及肾脏病临床管理的医护专家进行咨询,构建老年腹膜透析病人分层分级管理内容框架。结果:2轮问卷回收率均达到100%,2轮专家权威系数分别为0.870和0.923,肯德尔协调系数分别为0.318和0.433,第2轮专家函询中各指标重要性赋分均数为4.07~4.93,变异系数为0.05~0.15。最终构建包括6个1级指标,45个2级指标的老年维持性腹膜透析病人Triangle分层分级管理体系。结论:该研究构建的老年维持性腹膜透析病人Triangle分层分级管理体系内容具有科学性和可靠性,可为老年维持性腹膜透析病人的管理提供依据,具有理论和实际意义。

基于重要度的风电机组备件分类策略研究

针对风电行业备件数量多、需求波动大、分布地区广和业务需求多样的特性,现有评价指标体系不能全面评估的问题,提出了基于重要度的两级多指标分类方法。首先,对风电企业运维业务数据进行分析,从风电机组备件采购、备件调配、备件使用的3个准则17个指标建立层次备件评价指标体系,并依据指标特点构建赋分体系。其次选取定性、定量指标计算备件重要度,作为先筛选再分类两级分类依据,得出3大类、27小类的分类结果。最后对分类结果进行分析,提出相应的管理建议。

煤系软岩中抽水蓄能电站地下厂房大断面硐室支护设计

为实现绿色低碳可持续发展,大屯能源股份有限公司龙东煤矿拟在埋深约300 m的煤系软岩地层中建设抽水蓄能电站,决定该项目可行性的关键问题之一是能否对主厂房大断面硐室进行经济有效的支护。为此,提出了基于规范和灰色关联度分析的支护设计方法。首先对该硐室的围岩稳定性进行分级,然后根据相关规范和工程经验提出4种支护备选方案,继而通过数值模拟对其支护效果进行对比分析,最后运用灰色理论的关联度模型综合支护效果和支护成本确定出技术经济效果最优的支护方案,从大断面软岩硐室的支护角度证明了在龙东煤矿建设抽水蓄能电站的可行性。该支护设计方法科学、可行、高效,可为煤系软岩中大断面硐室的支护设计提供参考。

松花江流域防洪现状及重难点问题解决思路

松花江是我国七大江河之一,为适应防洪新形势及新变化,分析了松花江流域防洪工程体系现状与面临的问题,立足流域防洪实际和经济社会发展需求,结合水情、工情、社情变化,提出科学开展滩区围堤分类治理,明确蓄滞洪区启用条件,解决防洪重点难点问题,以期为构建与经济社会高质量发展相适应的现代化防洪工程体系、系统提升松花江流域防洪减灾能力提供参考。

基于模糊层次聚类的大学生就业数据分类存储系统

文中研究基于模糊层次聚类的大学生就业数据分类存储系统,在总体设计上,通过模糊层次聚类技术构建系统框架,设计4个功能模块对应就业信息分类存储模式,满足大学生就业信息流转形式;以一一对应关系设置大学生就业信息数据分类存储结构,基于所属关系关联大学生的基本信息。在详细设计中,按照数据存储表和字典表两个类型构建大学生就业信息数据库;选择模糊层次聚类算法计算数据隶属值,设定信息数据聚类流程,实现大学生就业信息数据的分类存储,完成系统设计。实验结果表明:以多个专业的大学生就业人数作为数据样本,新系统即可实现不同专业类型大学生就业数据的精准存储,且分类存储时间能够保证在10 s之内,该系统具有很好的实际应用价值。