In this paper we have developed a system for web based environment monitoring using the WSN Technology. WSN sensor nodes transmit data to the cloud-based database via Web API request. Measured data can be monitored by the user anywhere from internet by using the Web Application which one is also compatible for mobile phones. If the data measured by sensor node exceeds the configured value range in Web Application, Web Application sends a warning e-mail to users for improving environmental conditions.

In recent years, wireless sensor networks (WSNs) have become established as an effective way of interconnecting sensor devices with simultaneous communication and data processing. Since it allows low-cost and low-power sensor devices, the use of WSNs has increased in different application areas, such as environmental monitoring, smart cities and crowdsourcing. This paper presents the functional design and implementation of a system for monitoring environmental conditions through using a WSN and NodeMCU. The system is developed for web- and mobile-based applications where preprocessed data are subsequently sent to the cloud via a web API, where comprehensive data analytics can be performed to gain better insight into the overall environmental conditions and help with improvements. The user can monitor measured data anywhere via the Internet by using the web and mobile applications. If the data measured by a sensor node exceeds the configured value range, the web application sends a notification to the user to improve the environmental conditions. In den letzten Jahren haben sich drahtlose Sensornetze (WSNs) als wirkungsvoll erwiesen, wenn es darum geht, Sensoreinrichtungen an eine parallele Datenübertragung zu koppeln. Der Einsatz von WSNs hat dabei in unterschiedlichsten Bereichen stark zugenommen, da diese sehr gut mit den günstigen und energiesparenden Sensoreinrichtungen zusammenspielen. Beispiele sind etwa die Überwachung von Umgebungsbedingungen, der Einsatz in Smart Citys oder beim Crowdsourcing. Der vorliegende Beitrag erläutert Funktion und Umsetzung eines Systems zur Überwachung von Umgebungsbedingungen unter Einsatz eines drahtlosen Sensornetzes und auf Basis von NodeNCU. Das System ist für Web- und mobile Anwendungen konzipiert, bei denen die zu übertragenden Daten direkt via Web API an eine Cloud gesendet werden. Dort können in weiterer Folge umfassende Datenanalysen durchgeführt werden, um einen besseren Einblick in die generellen Umgebungsbedingungen zu erhalten bzw. um diese in weiterer Folge zu beeinflussen. Der Anwender kann von überall aus via Internet – mittels Web- oder mobiler Anwendung – auf die Daten zugreifen. So sendet das System auch Benachrichtigungen, wenn die vom Sensor erfassten Daten bestimmte vorkonfigurierte Werte übersteigen, damit der Anwender entsprechend eingreifen kann.

This paper introduces a new scheme for sliding mode control using symmetry principles for a rotating inverted pendulum, with the possibility of extension of this control scheme to other dynamic systems. This was proven for swing up and stabilisation control problems via the new sliding mode control scheme using both simulations and experiments of rotary inverted pendulum (RIP) underactuated systems. According to the Lyapunov theory, a section of the pendulum was compensated with a scale error in the upright position, as the desired trajectory was followed by the pendulum arm section. As the RIP’s dynamic equations were nonlinearly complex and coupled, the complex internal dynamics made the task of controller design difficult. The system control for the pathway of the reference model of the rotational actuator with the application of the sliding mode technique for moving back and forth up the inverted pendulum’s structure, till the arm to reach the linear range round the vertical upright position, was created and tested in an existent device. The stabilisation scheme was switched on in the sliding mode as soon as the arm reached the linear range. A comparison of the stabilisation performance for the same rotating inverted pendulum as discussed by other authors revealed that the proposed controller was more flexible and reliable in terms of the swing up and stabilisation time.

In this paper we present detection and avoidance of static and dynamic obstacles in a closed system using only one camera to pin point the state of our environment where the mobile robot operates by not mapping the working environment. We use an optimization approach like Genetic Algorithm on the steps generated by Fuzzy logic algorithm that mobile robot needs to achieve the target. Another novelty here besides optimization steps of path is also avoiding of usage real sensors for obstacle detection. Instead we use virtual sensors which results in faster detection and response to them.