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Keywords = Task Simulation Builder

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13 pages, 6582 KB  
Proceeding Paper
Development of a FATEK PLC Simulator for Industrial Processes
by Iliyan Boychev and Gergana Spasova
Eng. Proc. 2025, 104(1), 56; https://doi.org/10.3390/engproc2025104056 - 27 Aug 2025
Viewed by 1239
Abstract
In this article, the development of the software system—a virtual simulator for FATEK programmable controllers for industrial processes—is proposed. The main purpose of the development is to create a virtual tool that emulates the operation of FATEK controllers, with the primary task being [...] Read more.
In this article, the development of the software system—a virtual simulator for FATEK programmable controllers for industrial processes—is proposed. The main purpose of the development is to create a virtual tool that emulates the operation of FATEK controllers, with the primary task being the receiving and sending of data related to the controller’s resources, using the FACON communication protocol. The simulator implements a protocol that is described in the FACON documentation. The simulator works as a slave device and returns a response only to a received request from the master device (this can be any program—SCADA or HM). The communication is asynchronous, i.e., receiving messages occurs independently of the operation of the simulator itself. The simulator is implemented as a desktop GUI application using the C++ programming language and the C++ Builder platform. This simulator can be used to manage tested SCADA and HMI programs for technological processes, etc. The main part of this work is the correct reading/writing of controller memory data (inputs/outputs/memory bits and registers). Through the developed simulator, you are fully tested under conditions of impossibility of using a real programmable controller. Full article
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20 pages, 3511 KB  
Article
Adaptive HVAC System Based on Fuzzy Controller Approach
by Mohammed Awad Abuhussain, Badr Saad Alotaibi, Muhammad Saidu Aliero, Muhammad Asif, Mohammad Abdullah Alshenaifi and Yakubu Aminu Dodo
Appl. Sci. 2023, 13(20), 11354; https://doi.org/10.3390/app132011354 - 16 Oct 2023
Cited by 17 | Viewed by 5056
Abstract
Heating, ventilation, and air conditioning (HVAC) system performance research has received much attention in recent years. Many researchers suggest a set of appropriate fuzzy inputs that can be used to design fuzzy rules-based smart thermostats or controllers that can respond to demand-controlled ventilation, [...] Read more.
Heating, ventilation, and air conditioning (HVAC) system performance research has received much attention in recent years. Many researchers suggest a set of appropriate fuzzy inputs that can be used to design fuzzy rules-based smart thermostats or controllers that can respond to demand-controlled ventilation, which in turn optimizes HVAC energy usage and provides satisfactory indoor temperatures. Previous research has focused on limited input parameters, such as indoor occupancy status, ambient temperature, and humidity constraints, which cannot efficiently and precisely manage thermal comfort. Hence, this study proposes a novel fuzzy controller with additional input parameters to keep indoor thermal comfort consistent with the corresponding number of occupants. The process employs an automatic fuzzy rule generation method to simplify the task of generating rules in the fuzzy inference system (FIS) using Mamdani FIS. A design-builder is used for modeling the HVAC systems. Local weather data were used to conduct simulations via EnergyPlus. The thermal comfort analysis using the Fanger model for three different scenarios shows that the proposed FIS controller can successfully respond to the indoor comfort variation in all possible scenarios and ensure a satisfactory comfort level. The proposed method demonstrates up to 50% energy savings if occupants do not worry about comfort. Full article
(This article belongs to the Special Issue Sustainable Building Design: Challenges and Opportunities)
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12 pages, 2732 KB  
Article
Analysis of Healthcare Push and Pull Task via JACK: Predicted Joint Accuracy during Full-Body Simulation
by Xiaoxu Ji, Davide Piovesan, Maria Arenas and He Liu
Appl. Sci. 2022, 12(13), 6450; https://doi.org/10.3390/app12136450 - 25 Jun 2022
Cited by 12 | Viewed by 2814
Abstract
The posture accuracy of full-body dynamic simulation has been successfully evaluated in JACK Siemens software via analyzing two common push and pull tasks. The difference in joint angles between the actual and predicted human movement directly results in the strength of force exposed [...] Read more.
The posture accuracy of full-body dynamic simulation has been successfully evaluated in JACK Siemens software via analyzing two common push and pull tasks. The difference in joint angles between the actual and predicted human movement directly results in the strength of force exposed on the lumbar spine. In this study, the individual factors, such as body height, body weight, trunk and hip flexion, shoulder movement, and muscle strength between genders, have shown a strong association with the adopted postures and exposed spinal forces during task performance. To provide robust ergonomics analysis, these individual variables should be adequately considered in software design for the long-term goal of injury prevention in diverse occupational workplaces. Full article
(This article belongs to the Special Issue Movement Analysis for Health and Biometrics)
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