Automated Guided Vehicles (AGVs) are a key component of many modern industrial systems. AGVs are supposed to communicate with each other in real time using wireless networks. In this article, the advantages and disadvantages of the ZigBee wireless network related to the control of AGVs are considered. We analyze the performance of the ZigBee network programmed with both C# and Python libraries to control ZigBee devices. The throughput and signal strength are presented and discussed depending on the transmission speed of the serial port, the payload size, and the presence and distance from the obstacles. The results of the experiments show the effective values of these parameters, the methods of using C# and Python, and the reliability of the throughput up to a certain point in network devices.

This article presents the comparative analysis of various JavaScript libraries, providing the possibilities of web-based geo-visualization, that can be applied in the case of AGV (Automated Guided Vehicle) working in the open area using GNSS (Global Navigation Satellite Systems) localization systems. A representative group of JS libraries has been selected for analysis. We focused on libraries that enable map generation with the use of the Scalable Vector Graphics format. Their performance issues and development potential are compared.

Virtualization theory is well known and successfully used in the computer domain. Personal computer (PC) workstations, as well as their virtual counterparts, are popular for general purposes. PC stations are also popular in networked control systems (NCSs). They are used as system components to deliver user interfaces and to run many important services of the data processing, communication, and database type. In this paper, the usage of virtual PC machines (VMs) is considered in the context of interoperability with NCS. This specific application area requests answers whether virtualization is applicable and secure, and what are the expectations from the temporal characteristics of running services.

The article refers to real-time systems, especially being used in industry as IT systems with time constraints. A typical analysis of such systems is based generally on the maximum values, which can be useful to determine the time characteristic in worst cases of system run. The proposed method is based on all values being available to measure used in the form of probability mass functions. This method uses the convolution and deconvolution of temporal characteristics of system sub-processes. It is shown that this approach can be used to verify the assumption that the maximum response time of a given complex system is the sum of maximum response times of its parallel executed sub-processes.