Weather station

About: Weather station is a research topic. Over the lifetime, 1789 publications have been published within this topic receiving 42864 citations. The topic is also known as: meteorological station & meteorological observation post.

Implementation of a MEIoT Weather Station with Exogenous Disturbance Input.

Abstract: Due to the emergence of the coronavirus disease (COVID 19), education systems in most countries have adapted and quickly changed their teaching strategy to online teaching. This paper presents the design and implementation of a novel Internet of Things (IoT) device, called MEIoT weather station, which incorporates an exogenous disturbance input, within the National Digital Observatory of Smart Environments (OBNiSE) architecture. The exogenous disturbance input involves a wind blower based on a DC brushless motor. It can be controlled, via Node-RED platform, manually through a sliding bar, or automatically via different predefined profile functions, modifying the wind speed and the wind vane sensor variables. An application to Engineering Education is presented with a case study that includes the instructional design for the least-squares regression topic for linear, quadratic, and cubic approximations within the Educational Mechatronics Conceptual Framework (EMCF) to show the relevance of this proposal. This work’s main contribution to the state-of-the-art is to turn a weather monitoring system into a hybrid hands-on learning approach thanks to the integrated exogenous disturbance input.

Framework for Intersection Decision Support in Adverse Weather Conditions

Abstract: The impact of inclement weather on driver behavior can be significant and may lead to erroneous driver decisions. Consequently, the research being presented used sensor information to assist opposed left-turning vehicles at signalized intersections under various weather conditions. The research proposed a new framework for a real-time intersection decision support system for left-turning vehicles entitled IDS-W. The proposed system was tested with data from a signalized intersection in Christiansburg, Virginia. The intersection was equipped with four video cameras and an on-site weather station. Nine thousand fifty-eight observations covering various weather conditions were gathered. Each observation consisted of the driver decision (accept or reject), weather condition (dry, rain, or snow), illumination (day or night), gap size, and gap-offered location (lane number). The observed decisions and the corresponding gap variables were aggregated to build the IDS-W database, which was developed by fusing data...

Medical Emergencies During a Half Marathon Race - The Influence of Weather.

Abstract: The aim was to analyze the influence of weather conditions on medical emergencies in a half-marathon, specifically by evaluating its relation to the number of non-finishers, ambulance-required assistances, and collapses in need of ambulance as well as looking at the location of such emergencies on the race course. Seven years of data from the world’s largest half marathon were used. Meteorological data were obtained from a nearby weather station, and the Physiological Equivalent Temperature (PET) index was used as a measure of general weather conditions. Of the 315,919 race starters, 104 runners out of the 140 ambulance-required assistances needed ambulance services due to collapses. Maximum air temperature and PET significantly co-variated with ambulance-required assistances, collapses, and non-finishers (R2=0.65–0.92; p=0.001–0.03). When air temperatures vary between 15–29°C, an increase of 1°C results in an increase of 2.5 (0.008/1000) ambulance-required assistances, 2.5 (0.008/1000) collapses (needing ambulance services), and 107 (0.34/1000) non-finishers. The results also indicate that when the daily maximum PET varies between 18–35°C, an increase of 1°C PET results in an increase of 1.8 collapses (0.006/1000) needing ambulance services and 66 non-finishers (0.21/1000).

Agricultural monitoring system based on ant colony algorithm with centre data aggregation

Abstract: This paper proposed environmental parameters are collected by use of outdoor ZigBee based weather stations as a prerequisite for the optimisation of plant growth. In most cases, all the sensors required are integrated into a weather station, due to which merely a single monitoring node is employed following data aggregation. An energy efficient center data aggregation algorithm, where an ant colony algorithm is applied to the construction of a level gradient field, is presented as an effective way to extend the life cycles of sensor nodes. A weather station and a ZigBee module both are portable and easy to install battery operated devices. Furthermore, a remote web-based human machine interface (HMI) is developed by InduSof on a server, and has an access to a database. This proposed algorithm is confirmed by computer simulations as an effective approach to remarkably extend the life cycles of sensor nodes. This work can be applied not merely to traditional outdoor large scale farming, but also to small scale indoor plantation, e.g. in a green house, a plant factory, etc., and applied to the field of conservation ecology.