Decision Tree-based Hybrid Multiprocessor Task Scheduling for the Cyber-Physical System

Scheduling is a critical process in cyber-physical systems to ensure the computation will be over within the physical system's deadline. Under the cyber-physical system, the processor is distributive and hydrogenous. Less latency task scheduling under this distributive cyberphysical system with a hydrogenous processor and resource is challenging. This article presents a decision tree based less complex mechanism of task scheduling in a heterogeneous processor environment this proposed mechanism model the tasks and the processor resource, current load level, their individual computational capability, memory availability, communication delay in the distributive system to move the task from one point to another point is taken into account for the scheduling purpose the numerical results prove that the proposed mechanism able to schedule the task quickly and with more task deadline meet the ratio.

DEVS-Based Building Blocks and Architectural Patterns for Intelligent Hybrid Cyberphysical System Design

The DEVS formalism has been recognized to support generic open architectures that allow incorporating multiple engineering domains within integrated simulation models. What is missing for accelerated adoption of DEVS-based methodology for intelligent cyberphysical system design is a set of building blocks and architectural patterns that can be replicated and reused in system development. As a start in this direction, this paper offers a notional architecture for intelligent hybrid cyberphysical system design and proceeds to focus on the decision layer to consider DEVS models for basic behaviors such as choice of alternatives, perception of temporal event relations, and recognition and generation of finite state languages cast into DEVS time segments. We proceed to describe a methodology to define DEVS-based building blocks and architectural patterns for design of systems employing fast, frugal, and accurate heuristics. We identify some elements of this kind and establish their status as minimal realizations of their defined behaviors. As minimal realizations such designs must ipso facto underlie any implementation of the same cognitive behaviors. We discuss architectures drawn from the cognitive science literature to show that the fundamental elements drawn from the fast, frugal, and accurate paradigm provide insights into intelligent hybrid cyberphysical system design. We close with open questions and research needed to confirm the proposed concepts.

Cyberphysical system of watering with remote control

In today's reality, the pace of people's lives is much higher than it was 30 years ago and it is still growing. At the same time, the amount of information also growing. This information should to be processed constantly, daily, as soon it is received. Production volumes are also not standing still. Such a lively pace of life requires process consistency and continuity. And these processes must be provided by man. This article describes the system of watering which should automate the process of growing plants. Also the analysis of a new branch, cyber-physical systems is carried out. The analysis of modern systems of autonomous irrigation, principles of their construction and organization of their work are committed. A method of implementing a system that provides the possibility of constant monitoring of the growing environment and provides an opportunity to influence it is suggested. The choice of components for system construction is made. The algorithm of the program operation is described. An analysis of the relationship between system components and the user's relationship with the system is performed.

Principle of construction of cyberphysical system of control of work of the smart greenhouse

A cyberphysical system is a mechanism that is controlled or tracked by computer algorithms and is closely linked to the Internet and interaction with the physical world. The system describes a combination of three main components: the physical world, the software algorithm and the Internet. Based on these components, this article presents a method of building a control system for a smart greenhouse, describes the development environment with its functions and capabilities, provides a detailed description of launching and configuring the program with explanations of key points in the system. This system is aimed at improving and optimizing the process of growing vegetables. The system is easy to use. All software interacts with each other according to clearly defined protocols and therefore there are no system failures. One of the features of this system is the speed of the survey of sensors, which is relevant today. The system consists of a simple user interface that can be modified according to user requirements.

The epistemological essence of the production process as a design object

Aim of the work. The main aim of the analysis is to search for approaches to building an exhaustive epistemological model of the production process as a set of connections to be disclosed and implemented in the automated production, which is a complex anthropotechnical cyberphysical system. Research methods. Digitalization of production inherently involves the solution of three major tasks: digitalizing communications, forming digital models of various objects, developing digital “tools” for decision support. Solving these tasks requires understanding of the deep essence and laws of such a complex system as a production process. This allows looking at the production process as a single interconnected structure (system) of its elements, where ignoring them often leads to a significant decrease in the quality of the design and technological decisions taken and, as a consequence, unjustified costs of various types of resources or non-fulfilment of the set requirements for the manufactured products (item). The interdependence of the objects of the production process allows speaking about the production process connections. Research results and novelty. To ensure the quality of the design and technological decisions taken during the production process digitalization, the former is represented as a system of links that have an “elementary” level of generalization in form and the maximum level of generalization in content. This allows representing the production process as a meaningful set of transition functions to be implemented. Findings. For the purposes of analyzing and building digital production, as a most complex anthropotechnical cyber-physical system, it is advisable to represent the production process in the form of a system of connections, while it should be considered that: 1. The manufactured product in the general case is a combination of three types of relations: dimensional, substantial and economic. 2. To ensure the item connections, a production process must be implemented, which in the general case represents a system of five types of connections: dimensional, informational, temporary, substantial and economic ones. 3. The interdependence of the links between the item and the production process is revealed through the transition functions, which are heterogeneous and indefinite. In addition, when creating a production process and automating it, designers have to face two major challenges: the choice of relations and their organization. Both are fraught with great engineering difficulties. 4. Representing the production process and the finished product in the category of connections is an important epistemological aspect of modelling and understanding the process itself, which allows highlighting and concentrating efforts on its important and essential aspects. At the early stages of design all this already helps to reduce possible errors arising from an incomplete and / or inappropriate representation of the nature and features of this process and, as a consequence, is a certain guarantee of achieving the gradual goal while reducing the necessary costs.

A MULTI-AGENT REINFORCEMENT LEARNING FRAMEWORK FOR INTELLIGENT MANUFACTURING WITH AUTONOMOUS MOBILE ROBOTS

Intelligent manufacturing (IM) embraces Industry 4.0 design principles to advance autonomy and increase manufacturing efficiency. However, many IM systems are created ad hoc, which limits the potential for generalizable design principles and operational guidelines. This work offers a standardizing framework for integrated job scheduling and navigation control in an autonomous mobile robot driven shop floor, an increasingly common IM paradigm. We specifically propose a multi-agent framework involving mobile robots, machines, humans. Like any cyberphysical system, the performance of IM systems is influenced by the construction of the underlying software platforms and the choice of the constituent algorithms. In this work, we demonstrate the use of reinforcement learning on a sub-system of the proposed framework and test its effectiveness in a dynamic scenario. The case study demonstrates collaboration amongst robots to maximize throughput and safety on the shop floor. Moreover, we observe nuanced behavior, including the ability to autonomously compensate for processing delays, and machine and robot failures in real time.

CUTTING MODE CONTROL MODULE FOR USE WITH STANDARD CNC EQUIPMENT

The article offers a methodological and algorithmic base of the control module for turning modes for the serial equipment with CNC. The created model of the proposed cyberphysical system based on the Okuma Genos L300M turning processing center is described.

Validation of Complex Control Systems with Heterogeneous Digital Models in Industry 4.0 Framework

The precise evaluation of the system design and characteristics is a challenge for experts and engineers. This paper considers the problem of the development and application of a digital twin to assess cyberphysical systems. We analyze the details of digital twin applications at different lifecycle stages. The work reviews and summarizes properties of models concerning the digital and physical components of a cyberphysical system (CPS). The other issue of a CPS is increasing cybersecurity threat for objects, so special attention is paid to the heterogeneous digital twin usage scenarios to improve CPS cybersecurity. The article also details the heterogeneous digital twin’s implementation for a real upper-level control system of a nuclear power plant. The presented heterogeneous digital twin combines virtual machines with real equipment, namely hardware-in-the-loop (HiL) components. The achievements and drawbacks of the implemented model, including single timescale maintaining challenges, are discussed.