Applied intelligent security architecture continuous detection of environmental data

Abstract

Purpose. The authors, funded by MOST-BARMM conducted a study in 2024 to monitor the surrounding environment of the headquarters of the Ministry of Science and Technology – BARMM in Cotabato City, Philippines. Relevant to this purpose, a discreet understanding on the dynamics of the weather condition coupled with the contextual existence of the MOST building in that area is crucial.

Approach. This study utilized IoT-Knowledge Based Architecture in developing the automation with Arduino technology for its programming. They established three station locations: MOST Building Station (entrance); MOST 1 Station (rightmost); and MOST Lab Station (back of building). A third-party Semaphore SMS Gateway (SMS Gateway Philippines - SMS API | Semaphore (n.d.)) was utilized for massive alert reporting to system-registered Mobile Phone numbers. They leveraged the Semaphore database as the working memory stipulated (Amit Konar, 2000). The developed gateway database is for browsing operation of the system where MOST intends to retrieve data for a certain period for enhanced knowledge-based management strategy.

Findings. After the development of the system the authors found out that the null hypothesis of this study “there are no significant differences between firing of a rule at particular time and firing multiple-rule simultaneously at a particular time in the knowledge-based system’s inference engine as far as  Latency; and Accuracy and coherence of output directives/advices/device activations for BARMM compound constituents by the system’s intelligence or KBS” is accepted.

Research implications. Firstly, the output of this study is a good reference for neophyte AI researchers from BARMM in area automation leveraging internet of things technology (IoT). Secondly, the MOST-BARMM can very well scale-up the architecture being utilized by the authors and implement it region-wide. It can monitor the environment and weather condition of the whole autonomous region by province, cities, and municipalities cost-effectively real-time and act accordingly.

Practical implications. The prototype of this study effectively showed that the marriage of artificial intelligence (AI) and internet of things (IoT) would bear tremendous strategic advantage for the users especially, the MOST-BARMM employees, top to bottom not to mention the political leaders. This intelligent system would continue to inform them through their registered mobile numbers in a form of updates in relation to temperature, relative humidity, UV level, ambient light, CO2 level, vibration, rain occurrence, among other detection real-time during the day at the compound. Data extracted through the database can be analyzed for more knowledge-base management strategies.

Originality. This study “Applied Intelligent Security Architecture on Continuous Detection of Environmental Data” is an original research conducted by the authors funded by the Ministry of Science and Technology within the Bangsamoro regional headquarters compound in Cotabato City. This study is anchored with the concept of artificial intelligence (AI) and the basic architecture of internet of things (IoT). It utilized the knowledge base architecture structure for the implementation of its system intelligence in software development (Amit Konar, 2000).

Received 23 November 2025

Accepted 12 February 2026

Published 06 April 2026