Developing an IoT-Based Multi-Sensor System for Real Time Fire Detection and Spatial Analysis to Improve Campus Safety
Khairul Nizam Abdul Maulud, Universiti Kebangsaan Malaysia, Malaysia
Available Soon
Anthony Lehmann, University of Geneva, Switzerland
Available Soon
Mihai Daniel Nita, Transilvania University of Brasov, Romania
Developing an IoT-Based Multi-Sensor System for Real Time Fire Detection and Spatial Analysis to Improve Campus Safety
Khairul Nizam Abdul Maulud
Universiti Kebangsaan Malaysia
Malaysia
Brief Bio
Sr Ts. Gs. Dr Khairul Nizam Abdul Maulud is an Assoc. Prof. at the Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia (UKM). He was also appointed as a Deputy Executive Director (Sustainability), UKM Strategy Center, Universiti Kebangsaan Malaysia. Previously, he was the Head of Earth Observation Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia. He joined Universiti Kebangsaan Malaysia in 2001 after completing his B.Sc. in Geoinformatics from the University of Technology, Malaysia. He received his M.Sc in Geoinformatics from the University of Technology, Malaysia and PhD in Civil & Structural from Universiti Kebangsaan Malaysia. Currently, he has published more than 151 journal papers, 44 books and book chapters in book and 99 proceedings in national and international proceedings. He has been involved as a principal researcher and consultant works for more than 100 research grants, 46 consultant works in Malaysia. To date, he has supervised 36 PhD students, 15 Master's Students and 38 bachelor's degrees. His expertise is a Geospatial Technology, GIS and Geomatic and has almost 23 years of experience in research and consultancy. He has successfully completed almost 23 water-related projects including sea-level rise, geospatial analysis, landuse changes, water quality, shoreline erosion, water management using GIS and Coastal Vulnerability Index. He has received a Australia Awards Fellowship from Department of Foreign Affairs and Trade (DFAT) Australia and has undergone a fellowship program at the University of Technology Sydney, Australia. He now led high-impact research on climate change, especially on the physical and economic impacts. He also is an expert panel for the government of Malaysia, especially in coastal geomorphology, geospatial analysis and spatial water quality analysis. He is very active as an evaluation panel for research grants at the Ministry of Science, Technology and Innovation and the Ministry of Higher Education Malaysia.
Abstract
Since the year 2000, the smart city concept has been integrated into university campuses to address shared challenges in providing safe and comfortable environments for occupants. However, campuses face unique risks, such as high usage of paper-based products and combustible amenities, which can lead to severe fire incidents. Fire statistics from local university campuses have shown significant losses from such events. Conventional fire alarms on campuses have limitations, including a lack of real-time alerts during fire hazards and a focus on single sensing. Therefore, enhancing traditional fire alarms with a multi-sensor system is necessary. This study aims to develop an Internet of Things (IoT)-based sensor for real-time detection, alerting and notification of campus building stakeholders, utilizing IoT, wireless sensor networks (WSN) and a cloud database. The IoT-based sensor incorporates temperature, humidity, smoke, and flame sensors, with data stored in ThingSpeak, serving as a sensor visualization hub. Five simulations, based on fire ignition probabilities and building attributes, were conducted to assess the prototype's functionality, using geospatial tools for data analysis. Establishing a smart campus has become appealing with essential technologies such as IoT, WSN, cloud computing, and AI, leading to innovations in fire detection and safety measures integration. However, ensuring campus safety requires state-of-the-art sensors integrated with IoT technology and spatial-based analysis techniques. This study not only focuses on sensor development but also employs geospatial software analysis for spatial data quantification and identification of key sensor characteristics, aiding future analysis.
Keynote Lecture
Anthony Lehmann
University of Geneva
Switzerland
Brief Bio
Prof. Anthony Lehmann was a pioneer in the field of Species Distribution Modeling (SDM) when he published and made available the first package (GRASP) to build spatial predictions from point observations of plant and animal distributions. His approach was cited more than 400 times since its original publication and was used on a variety of terrestrial and aquatic ecosystems, with more than 20 publications in which he was co-author. GRASP was followed by many similar packages such as MAXENT, BIOMOD or CARET. GRASP was also used to address for the first time the problem of presence-only data in species distribution modeling. GRASP was improved in 2006 by incorporating the spatial auto-correlation into the predictions. Prof. Lehmann was co-author of the most often cited paper on SDM in which he was responsible for the models using Generalized Additive Models (GAMs). GAMs were used by the author to assess Swiss breeding birds vulnerability to climate change together with other regression methods.
More recently, the work of Anthony Lehmann has been concentrating on the use of hydrological modeling outputs to inform decision-making. As the initiator and coordinator of a large FP7 research project called enviroGRIDS, during four years he, along with more than a hundred scientists, explored the gaps between scientific information and decision making in the Black Sea Catchment. The aim of the project was also to build capacity on Earth Observation and data sharing approaches. A central piece of the enviroGRIDS project was the calibration of a very large and complex hydrological model for the entire Black Sea catchment. Anthony Lehmann was also work package leader in another FP7 European project called ACQWA on Assessing climate impacts on the quantity and quality of water on alpine rivers (e.g. Rhône). Anthony has been coordinating the H2020 ERA-PLANET/GEOEssential project (2017-2021) on the development of geoprocessing workflows to link Earth Observation data to environmental policy indicators through the use of Essential Variables.
Since the end of the enviroGRIDS project in 2013, Prof. Anthony Lehmann is orienting his research on spatially-explicit Ecosystem Services assessment. In 2014, he visited Stanford University for two months while collaborating with NatCap. He has been also coordinating a Swiss National Found project called SWATCH (2017-2020) on eco-hydrological modeling of Swiss rivers. He is now working on the ValPar.CH project (2020-2023) on Ecosystem Services, Biodiversity and Ecological Infrastructures in and around Swiss regional parks.
He is also associate editor for the journal Environmental Sciences and Policy where is particularly editing the papers related to ES. He co-edited the MOOC on Ecosystem Services and will be leading the organization of the INTECOL conference in Geneva for August 2022.
Keynote Lecture
Mihai Daniel Nita
Transilvania University of Brasov
Romania
Brief Bio
Available Soon.