Digital core approach to the effects of clay on the electrical properties of saturated rocks using lattice gas automation

Clay has a significant influence on the relationship between resistivity index I and water saturation Sw （i.e, I-Sw relationship） of reservoir rocks because it complicates the current paths of these rocks. It is difficult to reveal the physical mechanisms of these clay effects on the conductivities of various rocks by physical laboratory measurements because the pore structure, micro distribution and content of clay inside a rock can not be observed and controlled during the experiments. We present a digital rock approach to study these clay effects on the electrical transport properties of reservoir rocks at pore scale using lattice gas automation （LGA） method. The digital rock samples are constructed with the information of grain size distribution from SEM images of reservoir rocks. The LGA is then applied on these digital rocks fully saturated with fluids to simulate the electrical transport properties for revealing the effects of volume and distribution patterns of clay on the non-Archie behaviors of the I-Sw relationship. The very good agreement between the simulated results and the laboratory measurements clearly demonstrates the validity of the LGA in numerical research of rock physics. Based on these studies, a new model has been developed for quantitatively describing the relationship between the saturation exponent and the volume of clay （Vsh）. This development may improve the evaluation for the fluid saturations in reservoir rocks.

Digital Coal Mine Integrated Automation System Based on ControlNet

A three-layer model for digital communication in a mine is proposed. Two basic platforms are discussed: A uniform transmission network and a uniform data warehouse. An actual,ControlNet based,transmission network plat-form suitable for the Jining No.3 coal mine is presented. This network is an information superhighway intended to inte-grate all existing and new automation subsystems. Its standard interface can be used with future subsystems. The net-work,data structure and management decision-making all employ this uniform hardware and software. This effectively avoids the problems of system and information islands seen in traditional mine-automation systems. The construction of the network provides a stable foundation for digital communication in the Jining No.3 coal mine.

Digital Water Developments and Lessons Learned from Automation in the Car and Aircraft Industries

The provision of water and sanitation services is a key challenge worldwide.The size,complexity,and critical nature of the water and wastewater infrastructure providing such services make the planning and management of these systems extremely difficult.Following the digital revolution in many areas of our lives,the water sector has begun to benefit from digital transformation.Effective utilization of remotely sensed weather and soil moisture data for more efficient irrigation(i.e.,for food production),better detection of anomalies and faults in pipe networks using artificial intelligence,the use of nature-inspired optimization to improve the management and planning of systems,and greater use of digital twins and robotics all exhibit great potential to change and improve the ways in which complex water systems are managed.However,there are additional risks associated with these developments,including—but not limited to—cybersecurity,incorrect use,and overconfidence in the capability and accuracy of digital solutions and automation.This paper identifies key advances in digital technology that have found application in the water sector,and applies forensic engineering principles to failures that have been experienced in industries further ahead with automation and digital transformation.By iden-tifying what went wrong with new digital technologies that might have contributed to high-profile acci-dents in the car and aircraft industries(e.g.,Tesla self-driving cars and the Boeing 737 MAX),it is possible to identify similar risks in the water sector,learn from them,and prevent future failures.The key findings show that:①Automation will require“humans in the loop”;②human operators must be fully aware of the technology and trained to use it;③fallback manual intervention should be available in case of tech-nology malfunctioning;④while redundant sensors may be costly,they reduce the risks due to erroneous sensor readings;⑤cybersecurity risks must be considered;and⑥ethics issues have to be considered,given the increasing automation and interconnectedness of water systems.These findings also point to major research areas related to digital transformation in the water sector.

Implementation of Embedded Ethernet Based on Hardware Protocol Stack in Substation Automation System

Embedded Ethernet technology has been utilized increasingly widely as the communication mode in the substation automation system(SAS).This paper introduces the current applying situation about embedded Ethernet in SAS First.After analyzing the protocol levels used in SAS based on embedded Ethernet and the differences between the TCP and UDP,UDP/IP is selected as the communication protocol between the station-level and bay-level devices for its real-time characteristic.Then a new kind of implementation of the embedded Ethernet is presented based on hardware protocol stack.The designed scheme can be implemented easily,reduce cost significantly and shorten developing cycle.

The Configuration and Communication of Integrated Substation Automation Systems

Based on a discussion of the feature of a substation, the paper presents the concept that a substation is composed of basic units (BC). The hardware structure of the IED of a BC is described. Next, the paper discusses the communication mode of the current Integrated Substation Automation Systems(ISA) and describes the hardware structre and the functions of the ISA with fieldbus. At last the paper presents trends in the development of ISA.

IEC 61850 SCL Validation Using UML Model in Modern Digital Substation

The IEC 61850 standard stipulates the Substation Configuration Description Language (SCL) file as a means to define the substation equipment, IED function and also the communication mechanism for the substation area network. The SCL is an eXtensible Markup Language (XML) based file which helps to describe the configuration of the substation Intelligent Electronic Devices (IED) including their associated functions. The SCL file is also configured to contain all IED capabilities including data model which is structured into objects for easy descriptive modeling. The effective functioning of this SCL file relies on appropriate validation techniques which check the data model for errors due to non-conformity to the IEC 61850 standard. In this research, we extend the conventional SCL validation algorithm to develop a more advanced validator which can validate the standard data model using the Unified Modeling Language (UML). By using the Rule-based SCL validation tool, we implement validation test cases for a more comprehensive understanding of the various validation functionalities. It can be observed from the algorithm and the various implemented test cases that the proposed validation tool can improve SCL information validation and also help automation engineers to comprehend the IEC 61850 substation system architecture.

A Simulation Environment for Intrusion Detection System in IEC 61850 Based Substation Automation System

Greater complexity and interconnectivity across systems embracing electrical power technologies has meant that cyber-security issues have attracted significant attention. In this paper a simulation environment for intrusion detection system in IEC 61850 standard-based substation automation system is provided to test simulated attacks on IEDs （intelligent electronic devices）. Intrusion detection is the process of detecting malicious attacker, so it is an effective and mature security mechanism to protect electrical facility. However, it is not harnessed when securing IEC 61850 automated substation. To prove the detection capability of the system testing environment was developed to analyze and test attacks simulated with different test cases. It shows that the simulation environment works accordingly to various network traffic scenarios and eventually proves the functionality of intrusion detection system to be later deployed in the real IEC 61850 based substation automation system site.

Exploring Alternatives to Create Digital Twins from and for Process Simulation

In this work,Digital Twins based on Neural Networks for the steady state production of styrene were generated.Thus,both the Aspen Technology AI Model Builder(alternative 1)and a homemade MS Excel VBA code connected to Aspen HYSYS and Aspen Plus(alternative 2)were used with this same aim.The raw data used for generating the Digital Twins were obtained from process simulations using Aspen HYSYS and/or Aspen Plus,which were connected through a recycle-like stream via automation for solving the entire simulation flowsheet.Aspen HYSYS was used for solving the pre-heating,reaction,and stabilization sections of the process whereas Aspen Plus ensured the computing of the separation and purification columns.Both alternatives led to an excellent prediction showing the capability of creating Digital Twins from and for process simulation.

Digital Twin-Based Automated Fault Diagnosis in Industrial IoT Applications

In recent years, Digital Twin (DT) has gained significant interestfrom academia and industry due to the advanced in information technology,communication systems, Artificial Intelligence (AI), Cloud Computing (CC),and Industrial Internet of Things (IIoT). The main concept of the DT isto provide a comprehensive tangible, and operational explanation of anyelement, asset, or system. However, it is an extremely dynamic taxonomydeveloping in complexity during the life cycle that produces a massive amountof engendered data and information. Likewise, with the development of AI,digital twins can be redefined and could be a crucial approach to aid theInternet of Things (IoT)-based DT applications for transferring the data andvalue onto the Internet with better decision-making. Therefore, this paperintroduces an efficient DT-based fault diagnosis model based on machinelearning (ML) tools. In this framework, the DT model of the machine isconstructed by creating the simulation model. In the proposed framework,the Genetic algorithm (GA) is used for the optimization task to improvethe classification accuracy. Furthermore, we evaluate the proposed faultdiagnosis framework using performance metrics such as precision, accuracy,F-measure, and recall. The proposed framework is comprehensively examinedusing the triplex pump fault diagnosis. The experimental results demonstratedthat the hybrid GA-ML method gives outstanding results compared to MLmethods like LogisticRegression (LR), Na飗e Bayes (NB), and SupportVectorMachine (SVM). The suggested framework achieves the highest accuracyof 95% for the employed hybrid GA-SVM. The proposed framework willeffectively help industrial operators make an appropriate decision concerningthe fault analysis for IIoT applications in the context of Industry 4.0.

Automated Detection and Quantification of Prostate Cancer in Needle Biopsies by Digital Image Analysis

Introduction: Triple immunohistochemical (IHC) stains including antibodies specific for alpha-methylacyl-CoA-racemase and basal cell markers have been a valuable aid in accurate identification of prostate carcinoma. However, accurate quantification of minuscule areas of prostate carcinoma in biopsy specimens can often be a challenge. Here we assessed the diagnostic value and quantitative use of automated digital image analysis on triple IHC stained prostate needle biopsies. Methods: Twelve cases of prostate needle biopsy material including 75 needle cores were stained with triple-antibody cocktail (P504S + 34βE12 + p63). Slides were digitally scanned with the APERIO digital image analyzer and evaluated with the GENIE pattern and color recognition digital image analysis that we developed. A slide with known areas of adenocarcinoma, high grade prostatic intraepithelial neoplasia (PIN), benign glands and stroma was used as a training set for the automated digital image analysis platform. Results: Among 75 needle biopsy cores, 19 (25.33%) contained adenocarcinoma by histology. Digital image analysis recognized adenocarcinoma in 95% of these needle biopsies. The average area of the needle biopsy was 7.63 mm2 and overall the average area of tumor was 0.196 mm2. The smallest area of tumor recognized by the program was 0.0022 mm2 (0.0363% of the core) and the largest was 0.62 mm2 (8.17% of the core) among needle core biopsies. False positives resulted from areas of high grade PIN with patchy basal cells. The false negative was caused by uneven AMACR staining in one area of adenocarcinoma. Digital recognition of areas of interest was improved by three successive image analysis training which increased the sensitivity and specificity from 83% and 89% to 90% and 93%, respectively. Conclusions: Digital image analysis in concert with IHC triple staining may be useful for accurate detection and quantitative analysis of small foci of prostatic adenocarcinoma. Defining methods to increase the sensitivity and specificity of quantitative automated digital image analysis will likely evolve as an area of investigation. Future automated digital scanning and innovative pattern and color recognition technologies may open avenues for classifying a variety of prostate lesions.

基于Digital Mine架构的开磷现代化矿山建设

开磷矿业根据矿业市场经济形势和矿山可持续发展需要,提出了建设数字开磷的发展策略.数字开磷以生产自动化、管理信息化和效益最大化为目标,主要由数字矿床勘查系统、采矿系统、安全监测预警系统、管理信息系统及其决策支持系统构成.笔者结合矿山实际从数字矿山的内涵和技术层面来反映开磷矿业现代化矿山建设进程.

基于Automation Studio的自动化生产线数字孪生系统的设计与研究

以YL-335B自动化生产线供料单元作为物理实体,选择Automation Studio作为数字孪生系统开发平台。首先在Automation Studio软件平台中导入YL-335B自动化生产线供料单元3D模型,完成供料单元气动回路的设计及电气控制设计,然后软件内系统集成进行供料单元数字孪生系统的功能仿真,正确地实现了供料单元数字孪生系统工作装置的动作,最后采用OPC UA作为模块之间的标准接口,通过OPC UA服务器建立Automation Studio与TIA Portal V16之间的OPC UA通信连接,实现供料单元数字孪生虚拟系统与供料单元实体PLC 1200之间的软硬件通信,通过供料单元数字虚体与供料单元物理实体之间的交互试验,验证了该设计的正确性。

Identification of digital technologies and digitalisation trends in the mining industry

Digitalisation in mining refers to the use of computerised or digital devices or systems and digitised data that are to reduce costs,improve business productivity,and transform mining practices.However,it remains increasingly difficult for mining companies to decide which digital technologies are most relevant to their needs and individual mines.This paper provides an overview of digital technologies currently relevant to mining companies as presented and discussed by mining journals,the media and insight reports of leading consultancy agencies.Relevant technologies were systematically identified using text-mining techniques,and network analyses established the relations between significant technologies.Results demonstrated that currently 107 different digital technologies are pursued in the mining sector.Also,an analysis of the actual implementation of digital technologies in 158 active surface and underground mines reveals a limited uptake of digital technologies in general and that the uptake increases with the run-of-mine production.Large-scale mining operations appear to select and apply digital technologies suitable to their needs,whereas operations with lower production rates do not implement the currently available digital technologies to the same extent.These minor producers may require other digital transformation solutions tailored to their capabilities and needs and applicable to their scale of operations.

采用Automation ML对工程工具数字孪生建模的方法

在CPS的背景下,笔者对数字孪生的概念和特性进行了说明,介绍了工程数据交换格式AutomationML的架构,并创建了使用AutomationML对数字孪生进行建模的方法。基于此,提出了建模步骤,对实例中物理实体的物理属性进行分析并设置,并将需要的物理属性交换数据置于中间件中,使得其他系统可有效访问这些属性。实例采用了Automation ML对物理实体建模,从而得出采用Automation ML可对在系统间交换数据的结论。

Development of IEC61850 Based Substation Engineering Tools with IEC61850 Schema Library

IEC 61850 allows the replacement of conventional wire based systems to communication based system with local area network. Since new engineering processes are introduced in substation, the specifications and tools are required combined with new skills across the substation engineering. In order to construct the IEC 61850 based substation automation system, the IED engineering tools as an engineering means are necessary to cope with the substation automation by full digital devices in the real power systems. Compared the configuration tools provided IEDs vendors which are able to support the operation and communication analysis between IEDs, the XML based IED integration engineering tools as substation engineering tools which are developed can build, edit and save the ICD, SCL and CID files. Particularly, the substation engineering tools are possible to apply the IEC 61850 based IEDs for the engineering process of systems and also provide the reliability and efficiency of system for the utilities and manufacturers. The developed tools are applied to test and create the SCL files for domestic-made IEDs, and then compared with the conventional tools. The reliability including accuracy of results was proved.

Dynamic Testing of an IEC 61850 Based 110 kV Smart Substation Solution

This paper presents the dynamic simulation and testing to verify the smart substation solutions designed for a brown field 110 kV retrofitting project. An IEC 61850 based aotomation design, transitioning the conventional substation into a smart substation, where existing current/voltage transformers remain in service, and smart Field Apparatus Interface Units (FAIUs) are utilised to bridge the conventional primary system to the IEC 61850 based secondary system. While outdoor switchgears and field instrument transformers are equipped with FAIUs, MV indoor switchgears are installed with IEDs mounted on the top. Direct point-to-point connections serve as process buses, and a single PRP/RSTP LAN is employed at station bus level. Extensive dynamic simulation and testing were conducted in the Smart Substation Technologies Lab, and test results show the smart substation performance meets and exceeds the substation reliability requirement.

Numerical Experiments of Pore Scale for Electrical Properties of Saturated Digital Rock

The two dimensional Lattice Gas Automation (LGA) was applied to simulate the current flow in saturated digital rock for revealing the effects of micro structure and saturation on the electrical transport properties. The digital rock involved in this research can be constructed by the pile of matrix grain with radius obtained from the SEM images of rock sections. We further investigate the non-Archie phenomenon with the LGA and compare micro-scale numerical modeling with laboratory measurements. Based on results, a more general model has been developed for reservoir evaluation of saturation with higher accuracy in oilfield application. The calculations from the new equation show very good agreement with laboratory measurements and published data on sandstone samples.

Comprehensive Automation of Microprocessor Protection Relay Terminals Operated on AC Railways

The article discusses the possibility of a potential reduction in the number of operations of microprocessor relay protection of feeders of the contact network of AC railways TsZA-27.5-FKS (FTS) for unknown reasons. Real statistics on the number of microprocessor relay protection operations at the Buryatskaya traction substation are presented, simulation of the real train situation (in accordance with the regime maps of the throughput capacity of the sections of the Trans-Baikal railway) was carried out in the specialized software complex “KORTES”. Based on the results of the analysis of simulation modeling, the process of forming a unified template of settings using neural network technologies is considered, which characterizes only this specific regular train situation. To protect objects in the event of pre-emergency and emergency modes of operation of the traction power supply system, a variant of changing the standard operation algorithm of the TsZA-27.5-FKS (FTS) terminal by introducing additional blocks for calculating the predictive functions of current and voltage has been proposed.

Research on Influence of Electromagnetic Interference on X-Ray Digital Detection

X-ray digital imaging technology has found wide application owing to its advantages of real-time, visualization and rapid imaging. In substations the substantial electromagnetic interference has some influence on the live detection by the X-ray digital imaging technology, hindering the promotion of the technology in the detection of electric equipment. Based on a large number of field tests, the author carded out a series of researches on electromagnetic interference protection measures, image de-noising, and image enhancement algorithms.

Impact of blurs on machine-learning aided digital pathology image analysis

BACKGROUND Digital pathology image(DPI)analysis has been developed by machine learning(ML)techniques.However,little attention has been paid to the reproducibility of ML-based histological classification in heterochronously obtained DPIs of the same hematoxylin and eosin(HE)slide.AIM To elucidate the frequency and preventable causes of discordant classification results of DPI analysis using ML for the heterochronously obtained DPIs.METHODS We created paired DPIs by scanning 298 HE stained slides containing 584 tissues twice with a virtual slide scanner.The paired DPIs were analyzed by our MLaided classification model.We defined non-flipped and flipped groups as the paired DPIs with concordant and discordant classification results,respectively.We compared differences in color and blur between the non-flipped and flipped groups by L1-norm and a blur index,respectively.RESULTS We observed discordant classification results in 23.1%of the paired DPIs obtained by two independent scans of the same microscope slide.We detected no significant difference in the L1-norm of each color channel between the two groups;however,the flipped group showed a significantly higher blur index than the non-flipped group.CONCLUSION Our results suggest that differences in the blur-not the color-of the paired DPIs may cause discordant classification results.An ML-aided classification model for DPI should be tested for this potential cause of the reduced reproducibility of the model.In a future study,a slide scanner and/or a preprocessing method of minimizing DPI blur should be developed.