{'fraction_non_alphanumeric': 0.012373453318335208, 'fraction_numerical': 0.0044994375703037125, 'mean_word_length': 5.449275362318841, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Hardware module design of a real-time multi-sensor fire detection and notification system using fuzzy logic

Notwithstanding massive fire safety campaigns being carried out, incidents of fire outbreaks continue to increase annually. The alarming rate of these fire outbreaks requires an engineered solution system that detects fire in its early stages and contributes to the firefighting effort. Current research efforts have been directed towards the development of multi-sensor fire detection algorithms to increase the sensitivity of fire detection devices and reduce nuisance alarms. This paper presents the design and implementation of a multi-sensor fire detection and notification system using fuzzy logic. The microcontroller processes data from an MQ2 smoke sensor, a TMP102 temperature sensor and a DFRobot flame sensor using a fuzzy logic algorithm to determine the fire status.