Industrial Information Systems Research Articles

On adequacy of parameters of strip cross-section profile. Part 1. Predictive interval

Increasing the level of automation of metallurgical units and the development of industrial information systems increases the number of p ters of production and technological processes available for analysis. The consequence is an increase in the complexity and duration of preliminary data preparation for subsequent mathematical and statistical analysis. It is therefore important to develop new and improve existing techniques for the automated process of primary data production. When developing methods of primary data preparation, it should be taken into account that accuracy and adequacy of results of subsequent mathematical analysis are determined by accuracy and adequacy of used initial data. The cross-sectional profile parameters of hot-rolled strips, such as wedge, convexity, thickness variation, displacement, wedge in near-rim zones, local thickenings and thinning of the strip are calculated parameters, i.e. secondary to actual strip thickness measurements over the length and width of hot-rolled strips. As technology is improved in cold rolling shops, the number of grade groups is increasing, for which technological modes of units and processing routes are selected. They are based on actual values of parameters of cross-section profile in order to further reduce the probability of formation of inappropriate products and increased metal consumption. The presented article provides an overview of conventional calculation methods for parameters of cross-section profile of hot-rolled strip and gives an assessment of accuracy and adequacy of application of the parameters averaged along strip length to the whole strip.

Industry 4.0 – holistic perspective: modelling and simulation applications in intelligent manufacturing systems

The simulation includes enormous technological tools and methods for the successful implementation of digital manufacturing as it allows product, process, system design, and configuration to be tested and verified. With the growth in the industrial sector, information systems and software products play an important role in the investments of technology in automation. The industrial sector has enabled the use of simulations to directly optimize the design and production of systems with computational growth. Modeling takes advantage of the integration of computing and controlling, enabling intelligent production and sustainability to greatly increase the efficiency of industrial systems. Recent technologies have been focusing on the development of solutions for increasing customer expectations, competition conditions, product and service providers. The information used for production is integrated with the simulation requirements in association with other software platforms in a flexible manner. In industry 4.0, various modeling and simulation techniques for automation of the industrial process in the integration of service-oriented architecture into contemporary management systems are presented and the modeling techniques available in the literature are discussed. Important milestones of simulation technologies in product, process and system design of digitized manufacturing systems have been investigated and the latest industrial and research approaches in basic manufacturing areas have been examined. It explores important milestones in the evolution of simulation technologies and the latest industrial and research applications and findings. Based on this review, future trends and challenges to be met in the field are summarized in order to reduce costs in current practices, increase quality and shorten the time to market of manufactured goods.

The Status of Accounting Information Systems (AIS) Adoption in the Hotel Industry

The work systems of organizations nowadays depend on IT. Hospitality industry is one of the industries affected by the IT revolution. Studies on the use of Accounting Information Systems (AIS) in the hotel industry, especially in developing countries, are limited. Thus, this research attempts to fill the knowledge gap by exploring the adoption of AIS in the Malaysian context. The research adopts a survey approach where the data were collected through a postal questionnaire from senior accounting managers in three, four, and five star rated hotels. A total of 101 completed and usable questionnaires were gathered from a total of 367 mailed questionnaires, giving a response rate of 27.52%. The findings confirm the wide use of computerized accounting systems in the hotels, although, the extent of the AIS use is relatively unsophisticated with the focus on basic accounting modules and fundamental accounting-based applications.

Deep-Learning–Based App Sensitive Behavior Surveillance for Android Powered Cyber–Physical Systems

Android as an operating system is now increasingly being adopted in industrial information systems, especially with cyber-physical systems (CPS). This also puts Android devices onto the front line of handling security-related data and conducting sensitive behaviors, which could be misused by the increasing number of polymorphic and metamorphic malicious applications targeting the platform. The existence of such malware threats, therefore, call for more accurate identification and surveillance of sensitive Android app behaviors, which is essential to the security of CPS and Internet of Things (IoT) devices powered by Android. Nevertheless, achieving dynamic app behavior monitoring and identification on real CPS powered by Android is challenging because of restrictions from the security and privacy model of the platform. In this article, the authors investigate how the latest advances in deep learning could address this security problem with better accuracy. Specifically, a deep learning engine is proposed that detects sensitive app behaviors by classifying patterns of system-wide statistics, such as available storage space and transmitted packet volume, using a customized deep neural network based on existing models called Encoder and ResNet. Meanwhile, to handle resource limitations on typical CPS and IoT devices, sparse learning is adopted to reduce the amount of valid parameters in the trained neural network. Evaluations show that the proposed model outperforms a well-established group of baselines on time series classification in identifying sensitive app behaviors with background noise and the targeted behaviors potentially overlapping.

Models and data quality in information systems applicable in the mining industry

The purpose of this article is to present modern approaches to data storage and processing, as well as technologies to achieve the quality of data needed for specific purposes in the mining industry. The data format looks at NoSQL and NewSQL technologies, with the focus shifting from the use of common solutions (traditional RDBMS) to specific ones aimed at integrating data into industrial information systems. The information systems used in the mining industry are characterized by their specificity and diversity, which is a prerequisite for the integration of NoSQL data models in it due to their flexibility. In modern industrial information systems, data is considered high-quality if it actually reflects the described object and serves to make effective management decisions. The article also discusses the criteria for data quality from the point of view of information technology and that of its users. Technologies are also presented, providing an optimal set of necessary functions that ensure the desired quality of data in the information systems applicable in the industry. The format and quality of data in client-server based information systems is of particular importance, especially in the dynamics of data input and processing in information systems used in the mining industry.

Intelligent Manufacturing Production Line Simulation of Super Capacitor

With the improvement of sensing technology, the improvement of software and hardware technology and computer operation ability, the digital twin technology has been further developed with the promotion of industrial intelligence and industrial information system. Digital twin technology is gradually applied to the simulation design and optimization of complex production line. The production line of super capacitor is a kind of complex production lines, so many factors need to be considered in the design process. Therefore, the digital twin technology is used to design the production line. In this paper, the plant simulation software of Siemens company is used to simulate the super capacitor production line, so as to verify the rationality of the application of digital twin technology in the complex production line design process, and study the influence of AGV car characteristics on the production line. Simulation in virtual space can well demonstrate the actual production process. The failure and other factors in the actual production process can be replaced in the form of failure rate in the simulation environment. Data statistics and other functions can directly see the changes of various parameters in the production line, to get a better optimization scheme.

Проблема выбора архитектуры иерархических информационных систем в нефтегазовом комплексе

Проблема выбора архитектуры иерархических информационных систем в нефтегазовом комплексе

ОСОБЛИВОСТІ ВПРОВАДЖЕННЯ ЦИФРОВИХ ІНФОРМАЦІЙНИХ СИСТЕМ ТРАНСПОРТНОЇ ЛОГІСТИКИ

The article discusses the features of digitalization in transport logistics. The main driver of modern economic development is the transport industry. Changing business models in the context of digitalization requires the formation of information networks to strengthen transport communications and to reduce transaction costs in the industry. The information network of transport logistics includes dynamic processes in the promotion of facilities and the creation of stationary communications. Corporate communications unite: vehicles and objects of movement. Digital information technologies enhance software in advanced transportation systems. Modern digital information systems provide the ability to analyze, adjust data in existing registers for various types of goods, vehicles, enterprises of dispatch and delivery of goods. This significantly increases the security of storage of such data and the protection of such information. Digital technologies are actively used in transport logistics when making certain payments for services rendered. Moreover, the payment database and the distribution of information is provided by transactional communications, which are associated with certain contracts. At delivery of cargo, as a rule, all conditions provided by contracts are fulfilled. All payment transactions are carried out on digital platforms and show high efficiency. However, the expansion of the use of digital technologies in transport logistics includes much higher potential, which provides significant efficiency of the entire transport and logistics system. Digital technologies are formed in accordance with certain requirements for such systems. A large number of transactions by mode of transport and transportation of goods, the peculiarities of transportation of goods, as well as the necessary types of packaging, storage, and include a certain array of data. Also represent data sets which allow to integrate quickly the necessary information on certain streams.A very important component is the creation of digital industry information systems, where all transactions are made in digital format and show high results. In the case of sea transport, the transport documentation is completely transferred to the electronic platform and significantly reduces the cost per unit of cargo transported. Currently, software is being developed in the maritime industry, which is associated with express mail, which completely eliminates delayed payments and loss of information at any stage of the supply network.

The Use of Information Systems for Regulation of Gas Engine Operating Parameters

The purpose of the work is to indicate the possibility of using selected IT systems to analyse work and regulate operating parameters of gas engines. An additional task of the work is to indicate new possibilities of using IT systems in power plants. The publication shows the development of industrial information systems in recent years. It is shown how these systems are used for direct control and adjustment of operational parameters of power equipment, ranging from water boilers to steam boilers, turbines and cogeneration aggregates. These systems implement technical safeguards and can be used to analyse work characteristics in an appropriate configuration. The more elaborate energy systems, the wider the scope of use of IT systems. Due to the full automation and control of cogeneration gas-powered power generators, an automatic heating water flow control system through heat exchangers can be used in these installations. This solution requires the expansion of the heating water pumping system with pumping sets with inverters and fittings of the pumping station with remote control.

Evaluation of the completeness and accuracy of 42 safety data sheets (SDSs) of chemical substances, 2019

ObjectiveThis study aimed to evaluate the completeness and accuracy of information on the SDS that has been reported to the SIINAS (Indonesian Industrial Information System). MethodsThe SDSs of 42 chemical substances were evaluated using a checklist that includes (1) the completeness check which refers to the Indonesian Regulation and (2) the accuracy check which refers to the European Chemicals Agency (ECHA) – info card and the National Institute of Technology and Evaluation (NITE) of Japan – Chemical Risk Information Platform (CHRIP). ResultThe evaluation on the completeness check showed that all SDS provides complete information on the hazard identification (SDS element 2), yet none of SDS provides complete toxicological information (SDS element 11). On the other hand, the evaluation on the SDS accuracy found that 21 SDSs were accurate based on ECHA-Infocard and 4 SDSs were accurate based on NITE-CHRIP. ConclusionThis study shows that there are weaknesses in the completeness and accuracy of SDS available in Indonesia. Strengthening the knowledge on GHS and available resources as reference for SDS production is ought to be improved.

Scalable and Multifaceted Search and Its Application for Binary Malware Files

Malicious binary files are a serious threat to industrial information systems. Because of their large number, an automatic assistant tool becomes essential for analysis, and finding similar files would be a great help. In this paper, we present a fast, scalable, and multifaceted search scheme to find similar binary malware files. We use a content-defined chunking algorithm to convert a file into a feature set for the first time. The proposed scheme uses MinHash to reduce any feature set of any file to a fixed size, which significantly improves search accuracy, processing speed, and space utilization. We theoretically prove that the new scheme returns similar files in jaccard index order. Through implementation and experiments with 12 million malicious files, we confirm that the search speed is increased by 600%, space is reduced by 90%, and the accuracy is increased by 400% at least, compared with the state-of-the-art of Elasticsearch.

Аналіз методів прогнозування технічного стану інформаційно-керуючих систем

The article presents the results of analysis and theoretical generalization of scientific works, which consider the problems of determining the condition and resource of technical means of information and management systems in industry. In spite of the specificity of construction and functioning of railway automatics systems, an approach to the synthesis of complex evaluation based on the formation of an integral indicator on the basis of data on the functioning of individual components.The problem of estimating the technical condition and resource of any technical means, and in particular OF the information and control systems, is very topical nowadays, because service methods and exploitation terms of a specific service are grounded on its basis. The issue of the resource intensity determination has become of particular importance during recent years, in connection with the introduction of information and control systems having a fundamentally new elementary basis. Furthermore, operating older relay type systems also demands to determine the date and time of their decommissioning.It should be noted that modern relay control systems used in railway transport, stay in operation for an average period of 35-40 years and or more. As a rule, the same exploitation terms are used during the development of regulatory documents regarding microprocessor system life cycle, without taking into account the fundamental differences in the design and element bases. Moreover, in most cases the decision is usually made administratively and is based on the expertise of a specific manager.This raises the question of formalizing this problem and the issue of the methods and mathematical models development for assessing the state and resource intensity of the railway transport information and control systems.

Office and industrial information systems and networks in the training of modern specialists

Article discusses an interdisciplinary optional course “Office and industrial information systems and networks”. Course provides skills in preparing of hardware-software platform formation of a workplace. This course is developed for students whose field of study is not related to information technologies, but whose professional activities will be carried out in the modern enterprises in the context of Industry 4.0 development.

A prospective parallel cohort study comparing a novel multi-priority emergency surgery waitlist management system to a paper-based system at a Canadian hospital

BackgroundApproximately 20% of all surgery performed in Canada is scheduled by allocation into emergency operating room time. There is currently no national standard for managing how this mixture of emergent, urgent, and semi urgent surgical cases should progress to the operating room. MethodsWe introduced a novel dynamic multi priority emergency surgery waitlist management system to a medium-sized Canadian acute care hospital from December 1, 2018 to February 28, 2019. Our hospitals critical incident reporting system was monitored before and during the study for any evidence of related adverse patient safety events. Internet-based user acceptance surveys were collected from users at 28 days and 89 days into the study. Results703 operations were scheduled for 684 patients. The electronic system was reliable and had no outages or shutdowns over 89 days. There was no detectable change in the incidence of adverse patient safety events during the study. Overall, there were 54 system users enrolled in the study. The user acceptance survey results were not statistically significant but did show a preference for the new scheduling system in the surgeon user group, all other users preferred the original system. DiscussionWhile there are evident efficiencies from the use of information systems in other industries the safe introduction of a such a system in the emergency surgery setting has never been fully realized. The authors relate the development of the novel multi-priority emergency surgery waitlist management system that was introduced in this study. The challenges of implementing this system and the limitations of the study are discussed. ConclusionThe introduction of a novel emergency surgery waitlist management system into this active operating room setting for 89 days was not associated with a change in reported patient safety events. The tested system was reliable and was preferred by some surgeon users.

Improvement of Factory Data in Industrial Land Information System

Improvement of Factory Data in Industrial Land Information System

New Approach for Information Security Evaluation and Management of IT Systems in Educational Institutions

Security evaluation and management has become increasingly important for Web-based information technology (IT) systems, especially for educational institutions. For the security evaluation and management of IT systems in educational institutions, determining the security level for a single IT system has been well developed. However, it is still difficult to evaluate the information security level of the entire educational institution considering multiple IT systems, because there might be too many different IT systems in one institution, educational institutions can be very different, and there is no standard model or method to provide a justifiable information security evaluation among different educational institutions considering their differences. In light of these difficulties, a security evaluation model of educational institutions’ IT systems (SEMEIS) is proposed in this work to facilitate the information security management for the educational institutions. Firstly, a simplified educational industry information system security level protection rating (EIISSLPR) with a new weight redistribution strategy for a single IT system is proposed by choosing important evaluation questions from EIISSLPR and redistributing the weights of these questions. Then for the entire educational institution, analytic hierarchy process (AHP) is used to redistribute the weights of multiple IT systems at different security levels. Considering the risk of possible network security vulnerabilities, a risk index is formulated by weighting different factors, normalized by a utility function, and calculated with the real data collected from the institutions under the evaluation. Finally, the information security performance of educational institutions is obtained as the final score from SEMEIS. The results show that SEMEIS can evaluate the security level of the education institutions practically and provide an efficient and effective management tool for the information security management.

Ontology-based solutions for interoperability among product lifecycle management systems: A systematic literature review

During recent years, globalization has had an impact on the competitive capacity of industries, forcing them to integrate their productive processes with other, geographically distributed, facilities. This requires the information systems that support such processes to interoperate. Significant attention has been paid to the development of ontology-based solutions, which are meant to tackle issues from inconsistency to semantic interoperability and knowledge reusability. This paper looks into how the available technology, models and ontology-based solutions might interact within the manufacturing industry environment to achieve semantic interoperability among industrial information systems. Through a systematic literature review, this paper has aimed to identify the most relevant elements to consider in the development of an ontology-based solution and how these solutions are being deployed in industry. The research analyzed 54 studies in alignment with the specific requirements of our research questions. The most relevant results show that ontology-based solutions can be set up using OWL as the ontology language, Protégé as the ontology modeling tool, Jena as the application programming interface to interact with the built ontology, and different standards from the International Organization for Standardization Technical Committee 184, Subcommittee 4 or 5, to get the foundational concepts, axioms, and relationships to develop the knowledge base. We believe that the findings of this study make an important contribution to practitioners and researchers as they provide useful information about different projects and choices involved in undertaking projects in the field of industrial ontology application.

Correlation Analysis and Forecast of Power Demand Based on Economic and Meteorological Factors

Because the economic and meteorological factors are closely related to the level of power demand, this paper establishes an index system for the upstream and downstream industrial chains of important economic and leading industries. The XGBoost algorithm is used to study the quantitative indicators of economic and meteorological factors, and to analyse the time-difference relationship between the economy of the typical city Nanjing, the upstream and downstream industry chain indicators of the leading industry and the power indicators. Through the relevant data of the Nanjing Power Grid, this paper establishes and quantifies a model of the relationship between the economic and industrial chain information and power systems in Nanjing, and predicts the load in the future.

Information System Operation and Maintenance Analysis Method Based on Five-dimensional Model

Considering the complexity of the current power industry information system and the severity of the existing data islands, a five-dimensional analysis method for business information system is proposed. By dividing the data collected by the system into different dimensions and then combining them for unified analysis, the index tolerance interval model is constructed to find hidden dangers and anomalies in the information system and assist the operation and maintenance personnel in root cause positioning and impact range assessment.

Chinese Cotton Mill Owner's Association and the Construction of Information System of China’s Cotton Industry

The Federation of Chinese Cotton Mill Owner's Association is a very important national cotton textile industry group in modern Chinese history, which has had an important impact on the development of modern China's cotton industry in many aspects. Especially in the construction of information system of cotton textile industry, the Chinese Federation of cotton mills is the first industry organization to put forward ideas and put them into practice, which has made great contribution to the communication and exchange of modern technology and management of cotton textile industry. The Federation of Chinese Cotton Mill Owner's Association not only established the information construction of cotton industry at its institutional level, but also paid close attention to the information of American cotton market closely related to modern China's cotton textile industry. This paper will study and discuss the role of the Federation of Chinese Cotton Mill Owner's Association in the establishment of China's cotton information system, in order to clarify the important role of the Federation in the construction of modern China's cotton information system.