Environmental Parameters Monitoring And Control System In Horticulture Greenhouse Using The Internet Of Things: Case Of IPRC Musanze

Efficient management of greenhouse farming is a challenge to ensure high yield production. This is a great challenge to farmers who do not have a reliable mechanism to ensure the optimum environmental conditions for their crops. Farmers are opting to look for solutions from technologies such as Machine to Machine and Internet of Things. This paper proposes a wireless sensor network architecture for real-time greenhouse environmental parameters monitoring to achieve technology- based farming at a low management cost. Uncontrolled temperature, humidity, light intensity and soil moisture content, are among the major parameters that contribute to the deterioration of plants in the green house. The system employs the temperature and Humidity sensor DHT11, a light sensor LDR and soil moisture sensor to detect the environment parameters inside the greenhouse. A low-cost Wi-Fi microchip, with built -in TCP/IP networking software called as ESP8266, has been used to help connect the microntroller with the internet wirelessly. Sensed data is monitored on-site using a Liquid Crystal Display. The ThingSpeak Cloud platform has been used to assure the remote monitoring of the sensed data, and further analytics can be done through it. Actuators namely the solenoid valve, cooling fan, and heating bulb are immediately triggered in case the limit level of the environmental parameters been sensed, has been exceeded. The Global System for Mobile Communication has been used to provide notification to the farmers cell phone farmers in case of critical conditions.  The results of the system are provided in form of waveforms observed through the ThingSpeak for the sensed parameters, others are in form of notification through LCD and GSM, and the actions performed by the solenoid valve, cooling fan and Heating bulb in case the sensed environment data goes beyond the required level

Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges

Today's mobile phones are far from mere communication devices they were ten years ago. Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users' location, activity, social setting and more. As devices become increasingly intelligent, their capabilities evolve beyond inferring context to predicting it, and then reasoning and acting upon the predicted context. This article provides an overview of the current state of the art in mobile sensing and context prediction paving the way for full-fledged anticipatory mobile computing. We present a survey of phenomena that mobile phones can infer and predict, and offer a description of machine learning techniques used for such predictions. We then discuss proactive decision making and decision delivery via the user-device feedback loop. Finally, we discuss the challenges and opportunities of anticipatory mobile computing.Comment: 29 pages, 5 figure

Digitalization in Buildings and Smart Cities on the Way to 6G

The energy turnaround created a high volatility in the energy production based on renewable energy. To integrate renewable energy economically in buildings and smart cities an additional concept of energy storage and energy supply based on energy management concepts must be claimed. The political views have changed during the last years and energy efficiency in buildings is seen important because 35% of greenhouse gas is produced by the final energy consumption. The deployment of local energy production concepts is an important step to energy turnaround. To generate and distribute energy effectively in buildings, digital components such as sensors, actuators, meters, and energy management systems must be installed in the buildings and the digital components must be able to communicate via communication networks. The paper describes systems for local energy generation, necessary communication networks for buildings and smart cities and digitization applications in industrial buildings. As an example of energy management, the Oktett64 system is presented, which is based on Enterprise IT technology and has implemented AI and blockchain technology. Digitalization with platforms such as Oktett64 are based on technologies that are superior to today's often commercially available Programmable Logic Controllers. The article also shows how the future mobile communications standards 5G beyond and 6G can offer special solutions for the digitization of buildings in their edge clouds.TU Berlin, Open-Access-Mittel – 202

A modern teaching environment for process automation

Emergence of the new technological trends such as Open Platform Communications Unified Architecture (OPC UA), Industrial Ethernet, cloud computing and the 5th wireless network (5G) enabled the implementation of Cyber-physical System (CPS) with flexible, configurable, scalable and interoperable business models. This provides new opportunities for the process automation systems. On the other hand, the constant urge of industries for cost and material efficient processes demands a new automation paradigm with the latest tools and technologies which should be taken into account while teaching future automation engineers. In this thesis, the modern teaching environment for process automation is designed, implemented and described. This work explains the connections, configurations and the test of three mini plants including the Multiple Heat Exchanger, the Three-tank system and the Mixing Tank. In addition, OPC UA communication between the server and its clients has been tested. The plants are a part of the state of the art of the architecture that provides the access of ABB 800xA to the cloud services via OPC UA over the 5G test wireless network. This new paradigm changes the old automation hierarchy and enables the cross layered communication in the old architecture. This modern teaching environment prepares the students for the future automation challenges with the latest tools and merges data analytics, cloud computing and wireless network studies with process automation. It also provides the unique chance of testing the future trends together in this unique process automation setup

Smart cities : concepts, perceptions and lessons for planners

Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2013.Cataloged from PDF version of thesis.Includes bibliographical references (p. 127-137).Today, there appears to be a visible trend in the use of the "smart" prefix. For example, cities are branding themselves as, or striving to become "smart" cities. Planners and policy-makers espouse "smart growth". Infrastructure planning involves "smart grids" for energy, "smart networks" for information and communications technologies (ICTs) and "smart mobility" in transportation. The "smart" term has also been stretched, where being "smart" is trounced by being "smarter". Being "smart", or "smarter", is perhaps seen as the next frontier for city planning, policy-making and management. A common underlying theme in "smart" cities is the application of technology to city planning and management, that leads to greater optimization of time and resources. However, definitions of "smart" cities remain elusive, and an inadequate understanding may lead cities to possible image or technological traps, heavy investments in ICTs and infrastructure without maximizing their potential, or to focus on "smart" technologies for short-term solutions without adequately considering the long term. As cities grapple with rapid urbanization and goals for sustainable development, resource management and climate change mitigation, learning about being "smart" will be timely and invaluable for planners. This study examines six "smart" cities - Boston, San Francisco, Amsterdam, Stockholm, Singapore and Rio de Janeiro - assessing city officials' perceptions and concepts of "smart cities" and their "smart" initiatives. Their efforts and approaches are analyzed against four theories of "smart" cities; (a) "smart machines" and organization, (b) engaging communities, organizations and businesses, (c) learning and adaptation, and (d) investing for the future. From the research, learning points and best practices are extracted, to serve as an applicable guide for cities as they embark on their "smart" initiatives.by Tuan-Yee Ching.M.C.P

Getting smarter about smart cities: Improving data privacy and data security

Abstract included in text