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BUILDING MANAGEMENT SYSTEM
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Abstract: Managing residential buildings usually relies on standard First-In-First-Out (FIFO) ticketing. This rigid approach often causes problems because minor tasks can easily delay urgent emergencies. This paper presents a Smart Building Management System that solves this scheduling flaw by combining a dynamic triage algorithm with a resident- focused micro-economy. Instead of treating all complaints equally, the system applies an exponential aging formula to tickets, strictly capped at a maximum score of 100. The queueing engine constantly adjusts these priorities by scanning text descriptions for danger keywords, tracking SLA deadlines, and boosting scores when multiple neighbors report the exact same problem. Concurrently, a point-based gamified economy runs in the background. Automated tasks track maintenance payments and adjust resident trust scores based on their financial reliability. Our testing shows that linking contextual math to a gamified ledger successfully creates a self-correcting environment. Emergencies receive immediate action, routine tasks avoid starvation, and residents are financially incentivized to maintain good standing.
Keywords: Algorithmic Starvation, Building Management Systems, Context-Aware Triage, Gamification, Micro- Economy, Queuing Theory
Keywords: Algorithmic Starvation, Building Management Systems, Context-Aware Triage, Gamification, Micro- Economy, Queuing Theory
How to Cite:
[1] Vatsal Jain, Darshan Kandalgaonkar, Gautam Enjam, Deepesh Ahire, Rakesh Suryawanshi, βBUILDING MANAGEMENT SYSTEM,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.154230
