INTELVISION – системный интегратор в области автоматизации зданий (RMS, BMS, интеграция инженерных систем), сертификации зданий (LEED и BREEAM) и информационных технологий.
Лучшее Интеллектуальное Здание России (RUS)Vitaly Fedorov
Презентация проекта МФК "Альпийский" (Санкт-Петербург), получивший звание "Лучшее Интллектуальное Здание России" по результатам HiTech-Building Awards 2011.
INTELVISION – системный интегратор в области автоматизации зданий (RMS, BMS, интеграция инженерных систем), сертификации зданий (LEED и BREEAM) и информационных технологий.
Лучшее Интеллектуальное Здание России (RUS)Vitaly Fedorov
Презентация проекта МФК "Альпийский" (Санкт-Петербург), получивший звание "Лучшее Интллектуальное Здание России" по результатам HiTech-Building Awards 2011.
This document describes SmartUnity, a real-time distributed SCADA/BMS platform for building, infrastructure, and industrial automation. It lists 7 reasons to choose SmartUnity, including its compatibility with Beckhoff hardware, powerful ProjectBuilder configuration tool for Beckhoff controllers, support for various automation protocols, ability to develop rich yet clear user interfaces, HTML5 visualization across devices, inclusion of typical SCADA features, and cost-effectiveness. It provides details on SmartUnity's features such as project limitations, supported protocols, visualization capabilities, historian logging, security, redundancy, real-time and historical trends, alarm center, and notification services.
The document describes an ultimate automation framework called SmartUnityBAS that runs on Beckhoff platforms. It provides visual parameterization of Beckhoff PLCs instead of traditional programming, integrated development tools, and out-of-the-box HTML5 visualization. SmartUnityBAS uses a control engine and project builder to configure actions, triggers, communications and more. It supports various I/O including Beckhoff, KNX, Modbus and more. The framework claims to reduce development time by up to 10 times compared to traditional programming.
SmartUnity Building Automation is automation middleware for Beckhoff PLC-based building automation systems. It allows visual programming of Beckhoff PLCs for HVAC, lighting, energy management, security, and other automation using a configuration software. The configuration software lets you program actions, triggers, conditions, and scenarios visually without traditional IEC 61131 languages. SmartUnityBAS supports many common building automation protocols and can integrate with SCADA systems. It provides benefits like less programming effort, easier debugging and maintenance compared to traditional PLC programming.
This document discusses building energy-efficiency as a service provided by EnergoVision.com. It outlines issues with existing building engineering systems like lack of monitoring and control. The solution proposed is an energy management system (EMS) that integrates existing automation systems and provides cloud-based energy management services. This turn-key solution involves auditing current systems, installing additional hardware if needed, integrating various building systems using a multiprotocol gateway, and providing a cloud-based service for real-time monitoring and control from any device with functions like notifications, reports and maintenance scheduling. The advantages include improved reliability, energy savings, and compliance with efficiency regulations while reducing IT costs.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
This document describes SmartUnity, a real-time distributed SCADA/BMS platform for building, infrastructure, and industrial automation. It lists 7 reasons to choose SmartUnity, including its compatibility with Beckhoff hardware, powerful ProjectBuilder configuration tool for Beckhoff controllers, support for various automation protocols, ability to develop rich yet clear user interfaces, HTML5 visualization across devices, inclusion of typical SCADA features, and cost-effectiveness. It provides details on SmartUnity's features such as project limitations, supported protocols, visualization capabilities, historian logging, security, redundancy, real-time and historical trends, alarm center, and notification services.
The document describes an ultimate automation framework called SmartUnityBAS that runs on Beckhoff platforms. It provides visual parameterization of Beckhoff PLCs instead of traditional programming, integrated development tools, and out-of-the-box HTML5 visualization. SmartUnityBAS uses a control engine and project builder to configure actions, triggers, communications and more. It supports various I/O including Beckhoff, KNX, Modbus and more. The framework claims to reduce development time by up to 10 times compared to traditional programming.
SmartUnity Building Automation is automation middleware for Beckhoff PLC-based building automation systems. It allows visual programming of Beckhoff PLCs for HVAC, lighting, energy management, security, and other automation using a configuration software. The configuration software lets you program actions, triggers, conditions, and scenarios visually without traditional IEC 61131 languages. SmartUnityBAS supports many common building automation protocols and can integrate with SCADA systems. It provides benefits like less programming effort, easier debugging and maintenance compared to traditional PLC programming.
This document discusses building energy-efficiency as a service provided by EnergoVision.com. It outlines issues with existing building engineering systems like lack of monitoring and control. The solution proposed is an energy management system (EMS) that integrates existing automation systems and provides cloud-based energy management services. This turn-key solution involves auditing current systems, installing additional hardware if needed, integrating various building systems using a multiprotocol gateway, and providing a cloud-based service for real-time monitoring and control from any device with functions like notifications, reports and maintenance scheduling. The advantages include improved reliability, energy savings, and compliance with efficiency regulations while reducing IT costs.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
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Artificial intelligence (AI) | Definitio