Development of underground mine monitoring and communication system integrated ZigBee and GIS

An automated underground mine monitoring and communication system based on the integration of new technologies is introduced to promote safety and health, operational management and cost-effectiveness. The proposed system integration considering wireless sensor network (WSN) assisted geographic information system (GIS) enables to monitor and control underground mining applications from surface office. Based on the capabilities of WSNs, ZigBee network is adapted for near real-time monitoring, ventilation system control and emergency communication in underground mine. ZigBee nodes were developed to sense environmental attributes such as temperature, humidity and gases concentration; switching ON and OFF ventilation fans; and texting emergency messages. A trigger action plan for monitored attributes above normal and threshold value limits is programmed in the surface GIS management server. It is designed to turn the auxiliary fans on remotely or automatically in orange condition and sending evacuation messages for underground miners in unsafe (red) condition. Multi-users operation and 3D visualizations are other successful achievements of the proposed system for the underground monitoring and communication

Underground Mining Monitoring and Communication Systems based on ZigBee and GIS

ZigBee as a wireless sensor network (WSN) was developed for underground mine monitoring and communication systems. The radio wave attenuations between ZigBee nodes were investigated to measure underground communication distances. Various sensor node arrangements of ZigBee topologies were evaluated. A system integration of a WSN-assisted GIS for underground mining monitoring and communication from a surface office was proposed. The controllable and uncontrollable parameters of underground environments were assessed to establish a reliable ZigBee network

Low-cost multipurpose sensor network integrated with iot and webgis for fire safety concerns

Fire emergencies cause severe damage to Brazilian federal universities. An appropriate and efficient tool to prevent or detect such events early is multisensory networks from the Internet of Things (IoT). In this study, we present the stages of development of a WebGIS system which integrates the IoT that allows the detection and helps manage such incidents. The approach consists of a network of multipurpose sensors that can identify different sources of fire hazards. If a potential source is registered, information about environmental conditions is transmitted in real-time to the system. Depending on the severity level, an alert is issued to WebGIS. Location is represented on a map. The entire system consists of single-board devices. Software components are based on open-source tools. The whole network only needs little power and, therefore, theoretically, could be carried out as an autonomous system powered by batteries. The entire system has been tested with flame, temperature, gas, smoke, and humidity sensors. The experiments allowed us to show its potential, formulate recommendations and indications for future studies

Sensors Utilisation and Data Collection of Underground Mining

This study reviews IMU significance and performance for underground mine drone localisation. This research has designed a Kalman filter which extracts reliable information from raw data. Kalman filter for INS combines different measurements considering estimated errors to produce a trajectory including time, position and attitude. To evaluate the feasibility of the proposed method, a prototype has been designed and evaluated. Experimental results indicate that the designed Kalman filter estimates the internal states of a system

Localisation de véhicules autonomes dans un environnement industriel souterrain

De nos jours, l'industrie minière est confrontée à des défis complexes liés à l'amélioration de l'efficacité et de la sécurité dans l'exploitation minière souterraine. Toutefois, un défi majeur persiste dans la localisation précise des véhicules autonomes évoluant au sein de ces environnements miniers souterrains, en raison de l'absence de communication externe ou de signalisation provenant du système de positionnement global (GPS). Cette étude présente le développement et l'évaluation d'un système de localisation destiné à être intégré aux véhicules autonomes opérant dans des environnements de mines souterraines. Le système utilise l’unité de mesure inertielle (IMU) et la technologie de Bluetooth à faible consommation d'énergie (BLE). Sa performance a été évaluée au moyen d'expérimentations menées à la fois dans un cadre universitaire contrôlé et au sein d'un environnement industriel souterrain. L'objectif principal de cette recherche est de concevoir un système de localisation robuste et précis pour permettre aux véhicules autonomes d'effectuer des tâches dans les mines souterraines sans dépendre du signal GPS. Les résultats recueillis attestent de la performance du système, lequel s'avère apte à assurer une localisation précise et fiable des véhicules autonomes en milieu minier souterrain. Cette recherche peut contribuer à l'amélioration de l'efficacité et de la sécurité au sein de l'exploitation minière souterraine, en offrant la possibilité aux véhicules autonomes de se déplacer de manière autonome et précise

SECURE TRACKING SYSTEM FOR NEXT GENERATION CIT PRODUCTS

The Cash in Transit (CIT) industry demands reliable and innovative products from its suppliers to ensure safety and reliability within the industry. Product innovation has been directed at a bespoke tracking system for the Cash in Transit industry, which can meet its stringent requirements and excel above the capabilities of standard, readily available tracking systems. The presented research has investigated the state of the art in tracking and localisation systems and has highlighted Wi-Fi as a potential novel Cash in Transit tracking solution. With research into 2.4GHz Wi-Fi and the effects in a CIT environment, the technology has been understood and demonstrated in terms of its advantages and weaknesses when applied to CIT. The research has shown that 2.4GHz Wi-Fi is a novel and viable solution for both wide area tracking and localised tracking of a Cash in Transit security box by testing innovative ways of detecting theft using 2.4GHz Wi-Fi in a set of specific real-world scenarios. An embedded tracking system was developed and a thorough evaluation undertaken using a series of practical usage scenarios. The results show the proposed tracking capability is very effective and ready for initial effective use within a Cash in Transit security box