1982 Canadian conference on industrial computer systems

Low level industrial systems use simple data representation which reflects flat input and output structure of control industrial system. This structure is directly mapped to the flat memory allocation. The structural data organization is used in upper layers of industrial computer system. This article contains compare analysis of tag and object oriented data model used for vertical communication in distributed industrial computer systems. This analysis is based on classical tag approach used in the most of classical visualization systems and object oriented approach introduced in OPC UA architecture.KeywordsLayer DeviceManufacture Execution SystemObject Oriented ApproachIndustrial Control SystemObject Oriented DataThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Information technology can either replace human effort and skill or it can complement and enhance it. Computer systems introduced into industry reflect both of these capabilities. In general, the skills replaced by computer systems in industry are mechanical/repetitive skills, although some middle managers are now being by‐passed as large centralised computer systems and networks have made communications between the centre and the periphery more direct and reduced the need for intervening filtering and interpretation. Many computer systems also complement managerial skills by aiding decision making. In the future it is possible that expert systems may replace some managerial skills, but the intuitive and experiential nature of much managerial work makes it unlikely that this replacement will be widespread.

7 - Central site computer facilities

Next month, a new set of guidelines is introduced for validating computer systems in the pharmaceutical industry. The author explains the history and background of the stringent international regulations that apply in this sector.

An adaptive control application in a large thermal combined power plant

A modular computer-controlled fermentation pilot-plant

The present research study aims to determine the virtual teaching campus’s effect on the competencies of teachers of the Faculty of Industrial Engineering, Systems and Computer Science of the Universidad Nacional Jose Faustino Sanchez Carrion - 2017. In addition, the research is applied, deductive method, quasi-experimental design of longitudinal cut and explanatory level. It was determined for the variable Virtual Teaching Campus dimensions such as technological infrastructure, quality of content, and web system, and the variable competencies of teachers the dimensions ICT and social competencies and methodological strategies. In every university, they are vital to improving the quality of teaching. On the other hand, an observation guide was applied as an instrument, validated by expert judgment reaching 91.4% and with acceptable reliability obtained through Cronbach’s Alpha of 0.981. The population comprises 65 teachers of the Faculty of Industrial Engineering, Systems and Computer Science; we used a census sample because the population was small. Furthermore, the Student’s T statistical method was applied. The results obtained show, with 95% confidence, that there is a high positive significant influence (p=0.000 and α=0.05) produced by the use of the Virtual Teaching Campus on the competencies of the teachers of the Faculty of Industrial Engineering, Systems and Computer Science of the Universidad Nacional Jose Faustino Sanchez Carrion - 2017.

Programmable logic controllers (PLC) as the backbone of industrial automation adapt to each subsequent wave of technology. This is still true today, almost six decades after the first Modicon 084 programmable controller developed for General Motors. Innovations such as artificial intelligence, cloud and edge computing, IIoT, 5G networks, augmented and virtual reality are penetrating all possible areas of industry, and PLC controllers are no exception. Equipped with a modern functional arsenal, these compact industrial computer systems become the basic building block of intelligent automation, digitalization and Industry 4.0, enabling dynamic regulation and management of industrial processes based on data via real-time feedback. The global market for PLC systems is estimated at US$ 12.2 billion in 2024. It is expected to exceed 15 billion dollars by 2029. PLC controllers, which traditionally serve as the basis of process and discrete industrial automation, are becoming more widespread today adopting the principles of Industry 4.0 in various sectors. The impact on the increase in the need for them is the increased application of industrial robots in the automotive, electrical engineering and other industries. The industrial robotics sector is among the leading contributors to development of PLC systems and is becoming a key driver of the further development of the programmable controller market, and forecasts are that this trend will continue with the development of increasingly widespread robotization in factories around the world. According to the data of the IFR (International Federation of Robotics) from 2024. almost 4.3 million robots are already in operation.

After investigating the conception and features of PLC (Programmable Logic Controller) and embedded system, in this paper the conception of a Quasi-PLC is proposed, which combine the advantages of PLC and embedded system. The architecture of Quasi-PLC and a Top-Down design method with collaboration design of software and hardware for Quasi-PLC embedded control system are researched then. Finally, setting the large-scale industrial valve control system as an example, the conception of Quasi-PLC and related technologies are used in industrial valve control system, and a satisfied application effect is obtained, which proves the rationality of the conception of Quasi-PLC and related technologies.

Embodied self-aware computing systems are embedded in a physical environment with a rich set of sensors and actuators to interact both with their environment and with their own embodiment. Through this interaction, they learn about their situation, their own state, and their performance. Although they are application specific like traditional embedded systems (ESs), they are significantly more flexible, robust, and autonomous; they can adapt to a wide range of environmental variation and can cope with deterioration and shortcomings of their own performance. As such, embodied self-aware computing systems are an evolution of traditional embedded and cyber-physical systems into the direction of more autonomy, robustness, and flexibility. When traditional ESs operate in a changing world by demanding unchanging and fully characterized computing resources, embodied self-aware computing systems adapt to a changing world and changing computing resources. This article surveys the methods and methodologies used for embodied self-aware computing systems structured along with the faculties of: 1) sensory observation and abstraction; 2) self-aware assessment; and 3) hierarchical goals and control. The discussion is exemplified by application cases in the areas of systems-on-chip, control systems, health monitoring, and condition monitoring in industrial production systems.

Recently, cyber-physical system is widely used for smart system control in various fields. Various functions of the cyber-physical system must overcome the limited hardware resources constraint of an embedded system. In addition, the data required from the industrial cyber-physical system are critical; therefore, a highly secure encryption technique is required. However, security and computational throughput are incompatible with each other in the cryptographic technique; therefore, the industrial cyber-physical system needs to adopt a highly efficient and secure encryption technique considering the limited available resources. This study applies the m-folding method to the highly secure elliptic curve algorithm to improve efficiency and proposes the cryptosystem optimized for the resource-constrained industrial cyber-physical system. The proposed m-folding method–based elliptic curve encryption showed 50% faster encryption than the existing methods.

In modern era most of the work being completed by the new and advanced various technology. Most of the industries are being run on the robotics technologies. But in INDIA most of the company are running in various technologies as like embedded system, plc, Arduino for sensing the alcohol detection and gas detection system and most important thing microcontroller. In this paper we discuss the ARM microcontroller based wireless industrial automation system. This automation consists the coordinator module and sensor module. In which one module is connected with the monitoring computer that is called the coordinator module and for connecting with the monitor of the computer it is also called the centralized unit. And the sensor module is an ARM microcontroller for a monitoring and controlling the whole plant. The coordinator unit main work is to collects the all type of data from the sensor module and provide that information to the IP network. For better communication between these two modules, we use the best technology is ZIGBEE technology. Its main work to preset the changing and control the plant various parameter. ARM microcontroller using the embedded c language coding. This paper we do the deeply study about the ARM microcontroller and about the wireless industrial automation system and the term of ZIGBEE technology.

In modern era most of the work being completed by the new and advanced various technology. Most of the industries are being run on the robotics technologies. But in INDIA most of the company are running in various technologies as like embedded system, plc, Arduino for sensing the alcohol detection and gas detection system and most important thing microcontroller. In this paper we discuss the ARM microcontroller based wireless industrial automation system. This automation consists the coordinator module and sensor module. In which one module is connected with the monitoring computer that is called the coordinator module and for connecting with the monitor of the computer it is also called the centralized unit. And the sensor module is an ARM microcontroller for a monitoring and controlling the whole plant. The coordinator unit main work is to collects the all type of data from the sensor module and provide that information to the IP network. For better communication between these two modules, we use the best technology is ZIGBEE technology. Its main work to preset the changing and control the plant various parameter. ARM microcontroller using the embedded c language coding. This paper we do the deeply study about the ARM microcontroller and about the wireless industrial automation system and the term of ZIGBEE technology.

ABSTRACTThe transformation of industrial systems through real‐time analytics, autonomous control, and intelligent data acquisition has underscored the pivotal role of Industrial Edge Computing (IEC) in next‐generation Industrial Internet of Things (IIoT) environments. By enabling decentralized processing close to data sources, IEC enhances responsiveness, supports latency‐sensitive applications, and reduces the strain on centralized infrastructure. However, as IIoT ecosystems grow in scale and complexity, traditional edge solutions face increasing challenges related to device heterogeneity, dynamic network conditions, bandwidth constraints, and energy efficiency. This special issue explores emerging advancements in edge intelligence that address these pressing challenges. It brings together innovative research that leverages artificial intelligence, advanced communication technologies, and architectural innovations to improve the adaptability, resilience, and performance of edge‐enabled industrial systems. The featured studies contribute novel techniques for real‐time data processing, secure and efficient communication, and intelligent decision‐making at the edge, all of which are essential for supporting industrial automation, predictive maintenance, and cyber‐physical operations. Collectively, these contributions highlight the immense potential of edge intelligence to redefine the operational landscape of industrial systems. This issue is intended to support ongoing research and practical innovation in the evolving domain of edge‐enabled IIoT technologies.

Cyber-physical infrastructures in industrial control systems, including critical infrastructure and manufacturing, heavily on cyber-physical infrastructures and embedded devices. As industrial control systems become more complex and network-centric, physical infrastructure becomes increasingly dispersed and vulnerable. In rapid growth within the competitive technology, we have seen an expressive increase in information security vulnerabilities against such systems, ranging from simple hacking tools to new generation intelligent attacks. With the growing reliance on industrial control networks and, of course, the growing number of attacks, the lack of cyber-security monitoring and forensic analysis of security incidents. Cyber-forensic analysis of ICS/SCADA systems is unlike standard forensic analysis of enterprise computer systems, the cyber-forensic specialist often has to be an expert in cyber-physical infrastructures systems, networks, and devices to determine where potential forensic evidence may be located. This paper discusses ICS/SCADA, typical attacks and vulnerabilities, problems with forensic analysis, and the development of forensic methodology/tools for such systems.