MULTIFUNCTIONAL DATA COLLECTION SYSTEM FOR MONITORING THE STATE OF TECHNICAL FACILITIES

Представлен комплекс технических средств создания для системы сбора данных. Проведена формализация процессов реализации функций контроля технического объекта. Рассматриваемая система сбора данных состоит из функционально законченных устройств, выполняющих определенные функции в контексте работы системы. Данная система, с одной стороны, может быть одним из узлов распределенной системы сбора данных, с другой стороны, может использоваться автономно. Показана актуальность создания системы. В основе разработки использован RISC микроконтроллер STM32H743VIT6, семейства ARM Cortex-M7, работающий на частоте до 400 МГц. К основным модулям системы относятся 20-входовый распределитель напряжения; модуль питания и настройки; модуль цифрового управления; модуль анализа, хранения и передачи данных в управляющий компьютер. Рассмотрен состав и назначение этих модулей. За сбор данных в рассматриваемой системе отвечает цепочка устройств: датчик - схема согласования - АЦП - микроконтроллер. Поскольку в составе системы имеются не только АЦП, но и ЦАП, то на ее базе может быть реализована система управления объектом. Выбор датчиков для снятия информации обусловлен особенностями объекта контроля. Имеется возможность в ручном режиме измерять электрические параметры контуров связи, в том числе обеспечивать проверку питания IDE и SATA-устройств. Представленная система сбора данных является средством, которое может быть использовано для автоматизации процессов контроля состояния технических объектов We present a set of technical means for creating a data collection system. We carried out the formalization of the processes of implementing the control functions of a technical object. The multifunctional data collection system consists of functionally complete devices that perform certain functions in the context of the system operation. This system, on the one hand, can be one of the nodes of a distributed data collection system, on the other hand, it can be used autonomously. We show the relevance of the system creation. The development is based on the RISC microcontroller STM32H743VIT6, ARM Cortex-M7 family, operating at a frequency of up to 400 MHz. The main modules of the system include: a 20-input voltage distributor; a power supply and settings module; a digital control module; a module for analyzing, storing and transmitting data to a control computer. We considered the composition and purpose of these modules. A chain of devices is responsible for data collection in the system under consideration: sensor - matching circuit - ADC - microcontroller. Since the system includes not only an ADC but also a DAC, an object management system can be implemented on its basis. The choice of sensors for taking information is due to the characteristics of the object of control. It is possible to manually measure the electrical parameters of the communication circuits, including checking the power supply of IDE and SATA devices. The presented data collection system is a tool that can be used to automate the processes of monitoring the condition of technical facilities

TrackInk: An IoT-Enabled Real-Time Object Tracking System in Space

Nowadays, there is tremendous growth in the Internet of Things (IoT) applications in our everyday lives. The proliferation of smart devices, sensors technology, and the Internet makes it possible to communicate between the digital and physical world seamlessly for distributed data collection, communication, and processing of several applications dynamically. However, it is a challenging task to monitor and track objects in real-time due to the distinct characteristics of the IoT system, e.g., scalability, mobility, and resource-limited nature of the devices. In this paper, we address the significant issue of IoT object tracking in real time. We propose a system called ‘TrackInk’ to demonstrate our idea. TrackInk will be capable of pointing toward and taking pictures of visible satellites in the night sky, including but not limited to the International Space Station (ISS) or the moon. Data will be collected from sensors to determine the system’s geographical location along with its 3D orientation, allowing for the system to be moved. Additionally, TrackInk will communicate with and send data to ThingSpeak for further cloud-based systems and data analysis. Our proposed system is lightweight, highly scalable, and performs efficiently in a resource-limited environment. We discuss a detailed system’s architecture and show the performance results using a real-world hardware-based experimental setup.

ReactiveFnJ: A Choreographed Model for Fork-Join Workflow in Serverless Computing

Function-as-a-Service (FaaS) is an event-based reactive programming model where functions run in ephemeral stateless containers for short duration. For building complex serverless applications, function composition is crucial to coordinate and synchronize the workflow of an application. Some serverless orchestration systems exist, but they are in their primitive state and do not provide inherent support for non-trivial workflows like, Fork-Join. To address this gap, we propose a fully serverless and scalable design model ReactiveFnJ for Fork-Join workflow. The intent of this work is to illustrate a design which is completely choreographed, reactive, asynchronous, and represents a dynamic composition model for serverless applications. Our design uses two innovative patterns, namely, Relay Composition and Master-Worker Composition to solve execution time-out challenges. As a Proof-of-Concept (PoC), the prototypical implementation of Split-Sort-Merge use case, based on Fork-Join workflow is discussed and evaluated. The ReactiveFnJ handles embarrassingly parallel computations, and its design does not depend on any external orchestration services, messaging services, and queue services. ReactiveFnJ facilitates in designing fully automated pipelines for distributed data processing systems, satisfying the Serverless Trilemma in true essence. A file of any size can be processed using our effective and extensible design without facing execution time-out challenges. The proposed model is generic and can be applied to a wide range of serverless applications that are based on the Fork-Join workflow pattern. It fosters the choreographed serverless composition for complex workflows. The proposed design model is useful for software engineers and developers in industry and commercial organizations, total solution vendors and academic researchers.

Semantic Interoperability in Internet of Things

The industry's internet of things (IoT) applications have drawn significant research attention in recent decades. IoT is a technology in which intelligent objects with sensors-enabled RFID tags, actuators, and processors communicate information to cater to a meaningful purpose in the industry. This way, IoT technology aims to simplify the distributed data collection in industrial practice, sharing and processing information and knowledge across many collaborating partners using suitable enterprise information systems. This chapter describes new methods with grounded knowledge representation techniques to address the needs of formal information modeling and reasoning for web-based services. The chapter presents a framework, apparel business decentralized data integration (ABDDI), which uses knowledge representation methods and formal languages (e.g., description logics – DLs) to annotate necessary business activities. This type of web service requires increased interoperability in service management operations.