Development of smart Sorting and counting machine for industrial application

This work aims to implement industrial automation landscape by developing efficient systems to connect disparate machines and devices in an industrial environment. By creating an automated, centralized platform accessible via the internet, users can control and monitor all machines in the industry from one place. This work particularly focusses on the conveyor belt application in industry and the implementation of Industry 4.0 in Industries. To achieve this, Cyber-Physical Systems (CPS), Internet of Things (IoT) and Internet of Services technologies are used. These technologies enable efficient operation and monitoring of conveyor systems, ultimately leading to increased productivity, reduced downtime and increased safety. The proposed system provides real-time data for decision-making and optimization, ultimately paving the way for the future of Industry 4.0 in the conveyor belt industry. IoT and Industrial automation is the technology that can be utilized to reduce human interventions and manual overhead in the system to monitor as well as to indicate any errors in the system. Artificial Intelligence could also be used to control and monitor the industry. IoT is not a technology basically it is an ecosystem with Industry Specific Implication. In many Industries monitoring of belt conveyor application is manual with an operator, particularly for sorting application based on color, shape and size of the object. Industry 4.0 leans towards the use of sensor and internet of things to achieve these functions with no errors. This work is an effort made to realize the  use of IoT and Industry 4.0 for sorting and counting application in an industrial environment like conveyor belt applications

An internet of things based smart waste system

The importance of preserving the environment from waste and its pollution lies in many matters such as preserving people health, enhancing the aesthetic character of cites, attracting tourists, and protecting society from environmental disasters. The environmental wastes are the main dilemmas in our daily life and in the world at large. With the existence of modern technology, development and the field of the internet, many solutions have been undertaken to get rid these dilemmas. In this paper, a smart waste system based on internet of things (IoT) technique has been proposed using ESP-32 Wi-Fi microcontroller. This system can be adopted to avoid the accumulation of waste in the streets that distort the face of civilization, also to reduce the burden of workers and limit the workforce. The system is based on a multiple sensors in the garbage baskets, as they measure the waste level by using ultrasonic sensor, the moisture percent and temperature degree using DHT-22 sensor. The sensors data are processed by ESP32 microcontroller and displayed to both LCD screen using I2C protocol and mobile application using IoT cloud. System baskets automatically open their covers when the person approaches with a distance less or equal to 30 cm to throw garbage. Any approval waste basket is automatically discharged through an underground dump system using conveyor belt if the basket is full by 80% garbage and/or the basket moisture reaches to 40%

Middleware platform for distributed applications incorporating robots, sensors and the cloud

Cyber-physical systems in the factory of the future will consist of cloud-hosted software governing an agile production process executed by autonomous mobile robots and controlled by analyzing the data from a vast number of sensors. CPSs thus operate on a distributed production floor infrastructure and the set-up continuously changes with each new manufacturing task. In this paper, we present our OSGibased middleware that abstracts the deployment of servicebased CPS software components on the underlying distributed platform comprising robots, actuators, sensors and the cloud. Moreover, our middleware provides specific support to develop components based on artificial neural networks, a technique that recently became very popular for sensor data analytics and robot actuation. We demonstrate a system where a robot takes actions based on the input from sensors in its vicinity

Digital twin of experimental smart manufacturing assembly system for Industry 4.0 concept

This article deals with the creation of a digital twin for an experimental assembly system based on a belt conveyor system and an automatized line for quality production check. The point of interest is a Bowden holder assembly from a 3D printer, which consists of a stepper motor, plastic components, and some fastener parts. The assembly was positioned in a fixture with ultra high frequency (UHF) tags and internet of things (IoT) devices for identification of status and position. The main task was parts identification and inspection, with the synchronization of all data to a digital twin model. The inspection system consisted of an industrial vision system for dimension, part presence, and errors check before and after assembly operation. A digital twin is realized as a 3D model, created in CAD design software (CDS) and imported to a Tecnomatix platform to simulate all processes. Data from the assembly system were collected by a programmable logic controller (PLC) system and were synchronized by an open platform communications (OPC) server to a digital twin model and a cloud platform (CP). Digital twins can visualize the real status of a manufacturing system as 3D simulation with real time actualization. Cloud platforms are used for data mining and knowledge representation in timeline graphs, with some alarms and automatized protocol generation. Virtual digital twins can be used for online optimization of an assembly process without the necessity to stop that is involved in a production line. © 2020 by the authors.European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-CurieEuropean Union (EU) [734713]; Ministry of Industry and Trade of the Czech Republic [FV20419]; Ministry of Education of the Slovak Republic [VEGA 1/0700/20, 055TUKE-4/2020

Virtualization and monitoring of a modular and self-organized multi-agent conveyor system

Mestrado de dupla diplomação com a UTFPR - Universidade Tecnológica Federal do ParanáThe digital transformation that is taking place worldwide in the context of Industry 4.0 stimulates the emergence of new concepts and technologies and is reshaping the manufacturing world. As a result, the Digital Twin concept is gaining more and more momentum. In this sense, the creation of a virtual copy of the physical system provides a connection between the real and virtual systems to collect, analyze and simulate data in the virtual model to improve the performance of the real system. This work presents the development of virtualization of a modular and self-organized transport system, based on the use of Cyber-Physical Systems (CPS) and Multi-Agent Systems (MAS), to ensure the monitoring of its operation and allow the early detection of failures through real-time analysis of data collected from the physical system. For this purpose, Internet of Things (IoT) tools and technologies were used, such as Node-RED and the Message Queuing Telemetry Transport (MQTT) communication protocol, and the storage of collected data and cyber-security issues related to the use of IoT technologies during the data collection, suggesting the implementation of solutions to avoid possible threats, such as user authentication and data encryption. Among the results obtained, the control panel displays system data in real-time, in addition to providing statistical information, and supports dynamic monitoring of the transport system’s condition operation, generating alerts through the implementation of control rules.A transformação digital que está ocorrendo em todo o mundo no contexto da Indústria 4.0 estimula o surgimento de novos conceitos e tecnologias e está remodelando o mundo da manufatura. Como resultado, o conceito Digital Twin está ganhando cada vez mais força. Nesse sentido, a criação de uma cópia virtual do sistema físico fornece uma conexão entre os sistemas real e virtual para coletar, analisar e simular dados no modelo virtual para melhorar o desempenho do sistema real. Este trabalho apresenta o desenvolvimento da virtualização de um sistema de transporte modular e auto-organizado, com base no uso de CPS e MAS, para garantir o monitoramento de sua operação e permitir a detecção antecipada de falhas através da análise em tempo real dos dados coletados do sistema físico. Para esse fim, foram utilizadas ferramentas e tecnologias IoT, como Node-RED e o protocolo de comunicação MQTT, além do armazenamento de dados coletados e problemas de ciber-segurança relacionados ao uso de tecnologias IoT durante a coleta de dados, sugerindo a implementação de soluções para evitar possíveis ameaças, como autenticação do usuário e criptografia de dados. Entre os resultados obtidos, o painel de controle exibe os dados do sistema em tempo real, além de fornecer informações estatísticas e suportar o monitoramento dinâmico da condição de funcionamento do sistema de transporte, gerando alertas por meio da implementação das regras de controle

RFID-based conveyor belt for improve warehouse operations

The Government of the Republic of Indonesia is currently focusing on building logistics infrastructure to facilitate the distribution of logistics to all regions in Indonesia. The Distribution of logistics to each area requires an electronically connected warehouse so that information about goods in the warehouse can be monitored continuously. There are some problems with one of the logistics companies because the existing warehouse management technology is not sufficient enough, so the complex warehouse functions do not become dynamic. One of the solutions to solve the problem need to use RFID technology, conveyor belt, and robotic arm by using an Arduino microcontroller. This research uses Design Science Research Methodology which focuses on developing and improving the model performance of a system and using the prototyping model for system development. The test results state that the built system works well because it could lift, identify and sort goods by type. So, this research could answer the problem that happened at the warehouse

Automatic Sorting Machine Using PLC and HMI Technique

The automatic sorter machine using PLC is a system that sorts productsbasedonspecificcriteriasuchas size, weight, or color. The system consists of a programmable logic controller (PLC), sensors, actuators, motors, conveyor system, power supply, programming software, HMI development software, and communication protocols. The sorting process is automated, with the PLC controlling them ovement of products to the sorting stations based on the selected sensors'feedback. The HMI allows the operator to monitor and control the sorting process and displays information such as the status of the machine, the number of products sorted, and any errors or alarms. The system's design and implementation require careful consideration of the sorting requirements, selection of appropriate sensors and actuators, design of the control algorithm, programming of the PLC, development of the HMI, testing and commissioning, and maintenance and optimization. The automatic sorter machine using PLC is a reliable and efficient solution for automated sorting processes in various industries such as manufacturing, packaging, and logistics