Fault diagnosis and process monitoring using a statistical pattern framework based on a self-organizing map

A multivariate method for fault diagnosis and process monitoring is proposed. This technique is based on a statistical pattern(SP) framework integrated with a self-organizing map(SOM). An SP-based SOM is used as a classifier to distinguish various states on the output map, which can visually monitor abnormal states. A case study of the Tennessee Eastman(TE) process is presented to demonstrate the fault diagnosis and process monitoring performance of the proposed method. Results show that the SP-based SOM method is a visual tool for real-time monitoring and fault diagnosis that can be used in complex chemical processes.Compared with other SOM-based methods, the proposed method can more efficiently monitor and diagnose faults.

China's Process and Action Framework for Transforming to a Manufacturer of Quality

China's construction of a manufacturer of quality mainly relies on infrastructure improvement, cutting-edge technological breakthroughs, manufacturing development at the enterprise, sector and region levels, and the enactment and implementation of supporting policies, which can be combined to form an action framework for the construction of building China into a manufacturer of quality. At present, there are still some weak areas in China's construction of a manufacturer of quality, such as backward technologies comparing with world's leading players in some areas, limited contributes to the formulation of international standards, insu cient invests in building a system of supporting policies concerning nance, banking and taxation, and scant attention to cultural development as a manufacturer of quality. China should attach more importance to the technological research and development in these weak areas, align its manufacturing standards system with international standards, improve its system of supporting policies concerning nance, banking and taxation, and make more e orts in the development of advanced manufacturing system.

Synergistic catalysis of the N-hydroxyphthalimide on flower-like bimetallic metal-organic frameworks for boosting oxidative desulfurization

Synergic catalytic effect between active sites and supports greatly determines the catalytic activity for the aerobic oxidative desulfurization of fuel oils.In this work,Ni-doped Co-based bimetallic metal-organic framework(CoNi-MOF)is fabricated to disperse N-hydroxyphthalimide(NHPI),in which the whole catalyst provides plentiful synergic catalytic effect to improve the performance of oxidative desulfurization(ODS).As a bimetallic MOF,the second metal Ni doping results in the flower-like morphology and the modification of electronic properties,which ensure the exposure of NHPI and strengthen the synergistic effect of the overall catalyst.Compared with the monometallic Co-MOF and naked NHPI,the NHPI@CoNi-MOF triggers the efficient activation of molecular oxygen and improves the ODS performance without an initiator.The sulfur removal of dibenzothiophene-based model oil reaches 96.4%over the NHPI@CoNi-MOF catalyst in 8 h of reaction.Furthermore,the catalytic product of this aerobic ODS reaction is sulfone,which is adsorbed on the catalyst surface due to the difference in polarity.This work provides new insight and strategy for the design of a strong synergic catalytic effect between NHPI and bimetallic supports toward high-activity aerobic ODS materials.

Development of the Data Processing and Analysis System Framework for ICF Experiments

An idea is presented about the development of a data processing and analysis system for ICF experiments, which is based on an object oriented framework. The design and preliminary implementation of the data processing and analysis framework based on the ROOT system have been completed. Software for unfolding soft X-ray spectra has been developed to test the functions of this framework.

Hydroforming Process Design Using Finite Element Simulation for a Vehicle Instrument Panel Support Frame

Tubular hydroforming has attracted increased attention in the vehicle industry recently. This paper covers a complete hydroforming process design for an instrum ent panel frame by finite element simulation using the explicit code LS-DYNA. The manufacturing process for the instrument panel frame consists of tube pre-be nding and final hydroforming. To accomplish hydroforming process design successf ully, a thorough investigation of proper combination of process parameters such as internal hydraulic pressure and axial feeding is carried out by finite element simulation to predict the tube wall thickness and shape. An optimized process parameter combination is obtained and verified by the instrument panel frame hyd roforming experiment. The experiment shows that designed process parameters can be used in real production through FEA simulation, but tubular thinned amplitu de by FEA is less than that with the experiment.

OPEN Process Framework软件工程框架研究与应用

OPEN Process Framework(OPF)是使软件开发过程达到CMM5级标准的软件工程框架。文中讨论了基于OPF的软件过程的主要元素及实施过程,并把该过程应用于某油田数据采集系统的开发,实践证明基于OPF的软件过程可以提高团队的开发能力、降低风险、有效控制资源,为项目的开发提供了高度清晰的过程框架,规范管理和开发流程。

Designing Conceptual Framework for Aligning Service Oriented Architecture with Business Process

A problem in most of the organizations is to find the best way to mature their business processes. Process maturity can make the organizations more profitable and competent for other competitors. The problem can be solved by aligning service oriented architecture (using web services) with business processes within the organization. The purpose of this paper is to design a conceptual framework for aligning business processes with the Service Oriented Architecture and then prove the framework’s validity using simulation. An organization is working in education sector and wants to integrate its multiple web applications to allow data flow from one system to another. The framework will help the organization to align business process of service oriented architecture and to easily mold their business process according to business needs. The framework’s validity will be proved by simulating the entire process using Yet Another Workflow Language (YAWL).

Combining a Safety Management Process with a Safety Framework

A safety document management system, known as a Permit for Work (PFW) system is used commonly in the Power Industry to provide appropriate safety conditions for those working on the generating system. This paper investigates how a safety management process (+PFW) can be combined with a safety framework to enhance system effectiveness to ensure the requirements of users and suppliers can be met. While the paper makes some reference to the power industry, the concept is applicable to the management of systems in other domains.

Process-Oriented Requirements Engineering: User-Centric LORS Framework

In recent years, the process orientation requirements engineering field has received significant interest. However, dealing with ordinary users within an enterprise for developing as-is business process is very complex because this requires skills, responsibility, knowledge, and expertise of business processes. This research answers the following questions: 1) how to systematically gather information regarding as-is business process requirements in an informal environment and by non-expert users? and 2) how can an enterprise refine the identified business process with a semantic process model? The primary purpose of this research is to develop a supporting framework that is suitable for the definition of an as-is business process to be deployed within the enterprise environment. Hence, the focus is on gathering requirements to define the as-is business process. This framework concentrates on three significant aspects of this process: development, refinement, and serialization the semantics of the process model. To accomplish this objective, the LORS framework has been proposed, which consists of four phases (List, Order, Refinement, and Serialization). The framework presents a new unique technique to identify the business process, refine the process, and generate the model semantics. This study assumes that a simple and complete framework will help non-expert users define a high-quality as-is process, such that enhance and facilitate the matching process with existing reference models. We present a case study, evaluate the case study relative to specified criteria, and research the limitations and implications discovered from our research. This research concludes that the LORS framework is simple, flexible, visible, interactive, dynamic, and effective.

A360 Bot Framework: Empowering Smart Robotic Process Automation Solutions

This research paper explores the significance of the “A360 Bot Framework” in Automation 360 (A360) platform. A360 is Automation Anywhere’s cloud-based automation platform designed to make business processes more efficient. It’s known for its user-friendly interface, which allows both technical and non-technical users to use it effectively. Automation 360 is versatile, offering a range of tools to automate tasks, manage complex workflows, and integrate various applications. It empowers users to create customized solutions for their specific needs. Being cloud-based it ensures scalability, security, and real-time updates, making it a top choice in the fast-paced digital world. As demand for A360 rises, having a structured way to develop bots becomes crucial. The paper introduces the “A360 Bot Framework” as a guiding approach for bot developments. This framework ensures consistency and scalability, especially when working with both professional developers and non-technical users. It outlines key elements like setting up work folders, managing logs, dealing with errors, and ensuring secure bot execution. Ultimately, the “A360 Bot Framework” is presented as a foundational structure that enhances consistency, resiliency, and development efficiency. By following predefined practices and templates, bot developers can mitigate risks and streamline debugging processes. This framework accelerates the bot development lifecycle, allowing developers to focus on specific functionalities and value-added features. The research paper aims to provide insights into the benefits of adopting the A360 Bot Framework and its potential to revolutionize A360 bot development practices, leading to more efficient and effective automation solutions.

基于峰值检测的便携式钢筘测量仪研发

针对纺织生产现场随时进行机上快速测量的使用需求,研发了一款采用振动传感器和位移传感器的便携式钢筘筘号测量仪。首先,在分析振动信号的基础上,通过统计振动信号波峰数量获得筘齿数。其次,在统计波峰过程中,引入并优化无参数的自动多尺度峰值检测算法,降低其时空复杂度,实现筘齿的准确计数。最后,设计便携式钢筘测量仪硬件、软件架构,硬件上采用高性能STM32微控制器,能较好采集数据和运行算法;软件上增添时间和位移的双重条件检查,增加测量可靠性。实验结果表明:基于优化峰值检测算法的便携式钢筘测量仪,能够较好地测量工厂常用钢筘的筘号,并具有操作方便、无需设置阈值等优点。

建立以利率为中间目标的货币政策新框架

20世纪90年代中期开始,中国建立了以货币供应量为中间目标的货币政策框架。2018年政府不再宣布M2的调控目标,这意味着中国事实上放弃了以货币供应量为核心的数量型货币政策框架。建立以利率为中间目标的货币政策框架已经成为学术界与管理层的共识。尽管中国人民银行曾尝试建立市场化的利率调控机制,但它并不是以利率为中心的货币政策框架。中国建立新的货币政策框架,首先需要明确选择作为货币政策中间目标的指标利率,隔夜回购利率是比较好的选择,同时要完善利率走廊机制,使利率走廊收窄并变得更加灵活;其次,在法定存款准备金率正常化的基础上,建立中央银行贷款和基于国债买卖的公开市场操作相结合的政策工具组合。为此,需要发挥再贷款或再贴现的第一级市场流动性调控功能,扩大国债发行规模,丰富国债品种,完善公开市场操作,促使利率平滑化和引导利率期限结构。

Underground vibration signal detection and processing system based on LabWindows/CVI

In order to detect and process underground vibration signal, this paper presents a system with the combination of software and hardware. The hardware part consists of sensor, memory chips, USB, etc. , which is responsible for capturing original signals from sensors. The software part is a virtual oscilloscope based on LabWindows/CVI （C vitual instrument）, which not only has the functions of traditional oscilloscope but also can analyze and process vibration signals in special ways. The experimental results show that the designed system is stable, reliable and easy to be operated, which can meet practical requirements.

Threshold decision for instrument control system and its application in nuclear power plant

Threshold decision is an important function of nuclear instrument control system based on physical parameters threshold decision. Because the conventional decision methods lack correlation with time and conditions, by analyzing the existing methods, some optimized methods are adopted. Considering safety, those methods are improved in data processing algorithms, floating threshold with multiple values, association with specific working condition, etc. These measures im- prove the nuclear instrument control system in fault tolerance and fault diagnosis, especially, the shutdown number of nucle- ar power plant decreases.

基于.NET Framework的OPC数据访问服务器的研究与设计

通过介绍OPC技术,结合当前OPC(OLE for Process Control,用于过程控制的对象链接和嵌入)快速发展的需要,在研究.NET框架和COM的关系后,给出了一个.NET框架下开发进程外OPC数据存取服务器框架的设计方案,并介绍了实现的主要步骤和关键技术,以及具体的实际应用案例,对OPC开发人员有一定的借鉴意义。

基于Lattice LSTM-Cascade结构盗窃罪案由的命名实体识别算法

通过信息抽取技术进行法律文书数据的结构化,是推进人工智能在司法领域应用的关键性工作,尤其命名实体识别作为信息抽取的基础任务,将直接影响对案情信息提取的完整性与精确性。由于法律文书词语具有单义性、针对性和规范性且细粒度高的特点,通过Lattice LSTM实现字词特征融合输入,深度挖掘文书的语义信息;由于法律文书的精细化描述,需要高细粒度的实体类别,导致实体类别增加,通过采用Cascade结构构建了多任务NER模型框架,实现了实体识别与实体类别分类的联合处理,在识别准确率提高的同时减少模型的训练时间。消融实验结果表明:字词联合输入相较于基线模型F1值提高了1.59%;加入Cascade结构相较于基线模型每轮训练的时间减少4分钟。对比实验结果表明:该模型的实验结果的三项指标为88.85%、90.27%和89.55%,均高于其他对比模型。因此,该模型在法律文书命名实体识别中具有有效性及准确性。

消毒供应室全程质量控制对降低医院感染发生率的作用研究

目的分析在消毒供应室中实施全程质量控制对医院感染发生率的控制作用。方法选择2021年1月至2022年12月作为研究时间段,2021年1月至2021年12月作为对照组,实施常规消毒供应室护理管理;2022年1月至2022年12月作为试验组,实施消毒供应室全程质量控制,以10名消毒供应室工作人员、监测500次作为研究对象,比较两组时间段当中工作人员的管理质量水平,探讨手术器械合格率,分析医院感染发生率。结果试验组工作人员的管理质量水平及手术器械合格率均相比于对照组较高(P<0.05);试验组医院感染发生率比对照组低(P<0.05)。结论在消毒供应室中开展全程质量控制有助于提升工作人员管理质量水平及手术器械合格率,降低医院感染发生率。

Dynamic soft sensor development based on Gaussian mixture regression for fermentation processes

The dynamic soft sensor based on a single Gaussian process regression(GPR) model has been developed in fermentation processes.However,limitations of single regression models,for multiphase/multimode fermentation processes,may result in large prediction errors and complexity of the soft sensor.Therefore,a dynamic soft sensor based on Gaussian mixture regression(GMR) was proposed to overcome the problems.Two structure parameters,the number of Gaussian components and the order of the model,are crucial to the soft sensor model.To achieve a simple and effective soft sensor,an iterative strategy was proposed to optimize the two structure parameters synchronously.For the aim of comparisons,the proposed dynamic GMR soft sensor and the existing dynamic GPR soft sensor were both investigated to estimate biomass concentration in a Penicillin simulation process and an industrial Erythromycin fermentation process.Results show that the proposed dynamic GMR soft sensor has higher prediction accuracy and is more suitable for dynamic multiphase/multimode fermentation processes.

Data processing and initial results of Chang'e-3 lunar penetrating radar

To improve our understanding of the formation and evolution of the Moon, one of the payloads onboard the Chang＇e-3 （CE-3） rover is Lunar Penetrating Radar （LPR）. This investigation is the first attempt to explore the lunar subsurface structure by using ground penetrating radar with high resolution. We have probed the subsur- face to a depth of several hundred meters using LPR. In-orbit testing, data processing and the preliminary results are presented. These observations have revealed the con- figuration of regolith where the thickness of regolith varies from about 4 m to 6 m. In addition, one layer of lunar rock, which is about 330 m deep and might have been accumulated during the depositional hiatus of mare basalts, was detected.

Multi-technique integration separation frameworks after steam reforming for coal-based hydrogen generation

Coal-based H2 generation has abruptly increased in recent years.The PSA-VPSA-SC process is the matured and standard framework for H2 purification and CO_(2) capture in many existing plants,including normal and vacuum pressure swing adsorption units in series(PSA-VPSA),and shallow condensation unit(SC).However,this standard process is frequently subjected to low H2 recovery ratio and high purification cost.In this work,H2-selective and C02-selective membrane units,i.e.,HM and CO_(2) M,are attempted to support the standard process and ameliorate constraints.In the beginning,HM unit is arranged after VPSA to enhance H2 recovery from the decarbonized stream,i.e.,the PSA-VPSA-SC/HM process.As a result,H2 recovery ratio can be enhanced significantly from 83%to 98%.In the following,VPSA is replaced with CO_(2) M unit to reduce investment and operation cost,i.e.,the PSA-CO_(2) M-SC/HM process.Accordingly,the specific purification cost is diminished from 33.46 to 32.02 USD·(103 m^(3) H_(2))-1,saved by 4.3%,meanwhile the construction cost is falling back and just a little higher than that for the standard process.In the end,another CO_(2) M unit is launched before PSA,i.e.,the CO_(2) M-PSA-CO_(2) M-SC/HM process,which could unbundle CO_(2) enrichment partially from H2 purification,and then save more investment and operation cost.In comparison with the standard process,this ultimate retrofitted process can be superior in all the three crucial indices,i.e.,recovery ratio,investment,and specific purification cost.On the whole,coal-based H2 generation can be ameliorated significantly through high efficient H2-selective and CO_(2)-selective membrane units.