Abstract
Location awareness is crucial to effectively work or even survival in a harsh environment. Besides basic functions of protection, the new generation of protective garments has additional functions like monitoring the environment and provides location information about highlighted objects, spots, or personnel. This is a challenging task [1]; location sensors range from low accuracy sensors with almost global coverage to high accuracy short range solutions. Design requirements such as cost, bulkiness, accuracy, independency, scalability, robustness are key parameters [2]. We are designing and developing an intelligent Personal Protective System (PPS) integrated with a data acquisition (DAQ) system and we are using enabling technologies to collect location information and a wide range of environment information. In this paper we show how our first prototype of location monitoring is designed and developed.
Highlights
Location awareness is crucial to effectively work or even survival in a harsh environment
UHF distance measurements provides below 5 m accuracy in a long range (200 m-1500 m depending on environment) while UWB distance measurements give an excellent 1 m accuracy in a shorter range (20 m-100 m depending on environment)
To do location sensor data fusion in an effective way, we introduced a common representation format for the acquired sensor data
Summary
Location awareness is crucial to effectively work or even survival in a harsh environment. Besides basic functions of protection, the new generation of protective garments has additional functions like monitoring the environment and provides location information about highlighted objects, spots, or personnel. This is a challenging task [1]; location sensors range from low accuracy sensors with almost global coverage to high accuracy short range solutions. Design requirements such as cost, bulkiness, accuracy, independency, scalability, robustness are key parameters [2]. In this paper we show how our first prototype of location monitoring is designed and developed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
