{'fraction_non_alphanumeric': 0.024934383202099737, 'fraction_numerical': 0.0, 'mean_word_length': 5.466101694915254, '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}}
DDAS: Distributed Data Acquisition System using Wireless Sensor Networks

Wireless Sensor Networks (WSN) and Embedded Systems can be combined to have an efficient real-time factory monitoring system in terms of cost, power and scalability. In this paper, a Distributed Data Acquisition System (DDAS) is developed using WSN for monitoring machine health, production line, and factory's environmental conditions. It provides factory-related alerts to authorities during critical situations. The system senses the real time data from different sensor nodes incorporated at different sections of the factory and relays it to a central node. A test-bed implementation and experimentation of DDAS shows that the sensor nodes are power efficient, accurate and scalable.