Task-Allocation and Control of a Ground Robots Collective for Warehouse Automation

Author(s):  
Mehmet Ali Guney ◽  
Ioannis Raptis

In the last years, there have been several attempts to deploy Autonomous Guided Vehicles (AGVs) to automate the operation of warehouse environments. The implementation of AGVs has numerous advantages over conventional warehouse automation systems in terms of cost and scalability. In this work, we present the development of a test-bed platform for the utilization of an AGV collective to a warehouse automation system. The system architecture has plug-and-play algorithmic design which makes it extremely modular. In this system, small-scale robotic forklifts are used to transport an arbitrary number of circular pallets to predefined locations. The forklift robots are able to move in the arena without colliding each other due to the implementation of a centralized deconfliction algorithm. A task allocation algorithm prevents the forklift drives from being trapped by a fence of pallets. The performance of the proposed system is validated by both simulation and experimental results.

Smart home automation has become popular with the advent of IoT technology. Smart home automation systems suffer from a number of security issues due to the vulnerabilities that exist in the different devices and the interconnection network. Providing user authentication for smart homes is an important security requirement for preventing intruders from attacking a smart home automation system. Biometric based authentication systems have been used in many applications since they provide high security than the smart cards and password based authentication systems. Finger vein recognition is a biometric authentication technique that applies pattern recognition on the images of human finger vein present beneath the skin's surface. The advantage of using finger vein authentication is that, it is difficult to forge and also provides high accuracy as the external deformities like rashes, cracks and rough epidermis do not have an impact on the matching and recognition process. This paper deals with the implementation of a secure smart home automation system that uses finger vein biometric for the authentication mechanism. The algorithm used for authentication uses K Means Segmentation and canny edge detection for feature extraction. SVM classifier is used for the matching process. The authentication system is then incorporated into the smart home automation system that can be used to monitor and control the devices connected to it. The proposed approach shows better performance than the existing methods used in literature for authentication, monitoring and control of smart home automation systems


Author(s):  
Emanuelle Carpanzano ◽  
Andrea Cataldo

To properly deal with the increasing complexity of industrial distributed and agile manufacturing control systems, the use of methods and tools that support the designer in the definition, implementation and verification of intelligent logic control software is more and more necessary. Nowadays, many different software tools are available to face the rapid prototyping and closed loop simulation based verification of an automation system control software. The possibility to validate the control strategies of an automation system for industrial plant during its design phases is very advantageous. In fact the control system validation on plant site is very expensive, both for the high man power costs and for the long time required to implement and test the software code implemented in the control system devices. Scope of this paper is to present the hardware/software infrastructure designed to interface an industrial PLC to a laboratory process simulator and to a real small scale plant, in order to validate the industrial PLC software control code before the real plant commissioning phase. In particular the PLC, communicating with its remote input/output terminal boards via Profibus, is firstly connected to the process simulator for a roughly control algorithm validation, secondly it is interfaced to a small scale plant so to deeply test the PLC logic control solution.


2018 ◽  
Vol 28 (3) ◽  
pp. 99-106
Author(s):  
N. A. Borsuk ◽  
V. A. Fedorova ◽  
A. D. Minina

A choice of a suitable document management automation system often becomes a highly complicated task. Such systems are currently available in big variety. Apart from that, each enterprise has its own specifics, while small and medium-sized scientific & engineering enterprises have also a wide range of small-scale orders. The purpose of the article is to demonstrate a reasonable approach to the choice of a document management system to be efficient for a particular enterprise. The expediency is showed for creating a uniform information space for data exchange at a scientific & engineering enterprise. The author proposes modelling methods and algorithms enabling to decrease the number of generated documents and resources consumed for generation thereof. UML diagrams of the uniform information space have been described. Modelling of local document flows of enterprises has been performed with the help of Petri net: a conclusion has been made on multiplicity and increase in the number of documents in each cycle of the production process. Introduction of the PDM system has been supported and one of the stages of creation of the uniform information space has been described: it is possible to track in real time mode the timelines for execution of documents, ready-made documents and to make the necessary managerial decisions, thereby improving efficiency of the workflow and production process. The authors has demonstrated the implementation of the developed methods and models for a medium-sized scientific & production enterprise in real practice and has provided recommendations on introduction of document management automation systems at such enterprises.


Machines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 59
Author(s):  
Martin Dahl ◽  
Kristofer Bengtsson ◽  
Petter Falkman

Future automation systems are likely to include devices with a varying degree of autonomy, as well as advanced algorithms for perception and control. Human operators will be expected to work side by side with both collaborative robots performing assembly tasks and roaming robots that handle material transport. To maintain the flexibility provided by human operators when introducing such robots, these autonomous robots need to be intelligently coordinated, i.e., they need to be supported by an intelligent automation system. One challenge in developing intelligent automation systems is handling the large amount of possible error situations that can arise due to the volatile and sometimes unpredictable nature of the environment. Sequence Planner is a control framework that supports the development of intelligent automation systems. This paper describes Sequence Planner and tests its ability to handle errors that arise during execution of an intelligent automation system. An automation system, developed using Sequence Planner, is subjected to a number of scenarios where errors occur. The error scenarios and experimental results are presented along with a discussion of the experience gained in trying to achieve robust intelligent automation.


2021 ◽  
Vol 2121 (1) ◽  
pp. 012027
Author(s):  
Yinghua Song ◽  
Gang Wang

Abstract On the basis of analyzing and summarizing the current situation of the construction and use of distribution automation systems at home and abroad, according to the requirements of the use of distribution automation systems, a data two-way interactive distribution automation system architecture design is proposed. In response to the requirements for multi-source data collection in the distribution network, a distribution automation system architecture with partitioned collection and bidirectional data flow is proposed to improve the perception of distribution network equipment. Propose the self-recognition technology of power distribution system and terminal based on IEC61968 and IEC61850 model mapping to realize the fast access of power distribution terminal. Propose a grid integration modeling and global decision analysis method based on model splicing technology to realize multi-dimensional data fusion and analysis applications.


2021 ◽  
Author(s):  
N. Stalin ◽  
N. Shobanadevi

Abstract In recent scenario the home automation system has rapidly evolved with specific advantages using internetand Wi-Fi. This paper based on the GSM technology used to send the very short message service to operate the devices connected in the common node. The home assisting software has installed in smart phone to make the system simple. A smart home automation system based on Zigbee wireless communication is used to monitor and control the devices which are connected to the common test bed simultaneously minimize the energy cost.


2014 ◽  
Vol 716-717 ◽  
pp. 1500-1503
Author(s):  
Rong Sheng Lv ◽  
Rui Yang

BA System (Building Automation System) is an important intelligentized subsystem of Intelligent Building, also known as the groundwork of intelligent integration. It is the integration of multi-subsystems, which aims at automatic device management, efficiently saves energy and reduces use-cost. What is outstanding out of all effort for saving energy in modere Intelligent Building are both supervision and control of air-conditioner system. Now BA System comprises the basic components, here they are: central station, sub-station, spot meters, Control Network.According to survey, there are few stable BA System for long, without regard to amount of those existence. It results directly in massive equipments and related investment suspended. The thing is gone for little. The thesis illuminates functions and components of BA System thoroughly, gives further details of key technique---Control Network and System Integration, and predicts trend of this system. Based on the analysis mentioned along whith my experence, the procedure, principles and key point of BA System design and device choice are given; further more, embodies methods through illustrating real project for better utilization of BA System. In the end a conclusion and forecast of BA System are put forward.


2018 ◽  
Vol 7 (3.1) ◽  
pp. 174
Author(s):  
Shannay Rawal ◽  
M Ramachandran ◽  
Vishal Fegade ◽  
U Ragavendran

Usually, home automation talks about the domestic atmosphere that increases the class of the occupant’s life by eliminating as much human interface as in theory possible in numerous domestic practices and exchange them with automated mechatronics systems. Home automation comprises selected form of intelligence, home network and or centralized or logic distributed network or specific control unit. The modest system works on an approach in which the functionality is hardwired and incorporated into the system and cannot be altered automatically without the interference of technical or a knowledgeable person. Advanced sensor technology with Wireless advancement expands our sensing competencies by linking communication networks and physical world which enables wide-ranging applications in respect of home automation. In this article, we are discussing various sensors, actuators and control systems utilized for the home automation systems.  


Greenhouse automation system using Internet of Things (IoT) is a technical approach that benefits farmers by the automation and control of the greenhouse environment including plants health monitoring. Farmers' activities in the greenhouse are considered important in terms of producing strategic food for the population. In general, greenhouses are usually affected by the weather and plant diseases, as a result, their yield can be minimized and thus income is reduced. Through the analysis of the current situation of small-scale greenhouses, this paper proposes a low-cost solution for controlling, identifying, and classifying of infected plant leaves and automation of agricultural greenhouse. Design and prototype development of the proposed project has been done using Raspberry Pi, NODE MCU SP8266, different sensors and MATLAB. The programming language, MATLAB, is used to classify infected plant leaves, and sensors have been used to measure temperature and humidity of the greenhouse environment. In addition, controlling of actuators have been attained through solid state relays in order to turn the water drip system on or off upon reaching the predetermined threshold value. Finally, the greenhouse farmers interact with the proposed system via the cloud-based platform. This greenhouse automation system will benefit greenhouse farmers by enabling them to automatically monitor and control the greenhouse environment without their direct supervision.


2018 ◽  
Vol 11 (2) ◽  
pp. 94-102 ◽  
Author(s):  
A. G. Filimonov ◽  
N. D. Chichirova ◽  
A. A. Chichirov ◽  
A. A. Filimonovа

Energy generation, along with other sectors of Russia’s economy, is on the cusp of the era of digital transformation. Modern IT solutions ensure the transition of industrial enterprises from automation and computerization, which used to be the targets of the second half of the last century, to digital enterprise concept 4.0. The international record of technological and structural solutions in digitization may be used in Russia’s energy sector to the full extent. Specifics of implementation of such systems in different countries are only determined by the level of economic development of each particular state and the attitude of public authorities as related to the necessity of creating conditions for implementation of the same. It is shown that a strong legislative framework is created in Russia for transition to the digital economy, with research and applied developments available that are up to the international level. The following digital economy elements may be used today at enterprises for production of electrical and thermal energy: — dealing with large amounts of data (including operations exercised via cloud services and distributed data bases); — development of small scale distributed generation and its dispatching; — implementation of smart elements in both electric power and heat supply networks; — development of production process automation systems, remote monitoring and predictive analytics; 3D-modeling of parts and elements; real time mathematic simulation with feedback in the form of control actions; — creating centres for analytical processing of statistic data and accounting in financial and economic activities with business analytics functions, with expansion of communication networks and computing capacities. Examples are presented for implementation of smart systems in energy production and distribution. It is stated in the paper that state-of art information technologies are currently being implemented in Russia, new unique digital transformation projects are being launched in major energy companies. Yet, what is required is large-scale and thorough digitization and controllable energy production system as a multi-factor business process will provide the optimum combination of efficient economic activities, reliability and safety of power supply.


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