초록 ▼

The present invention relates to detection and alarm systems for predicting and detecting the location of spills, leaks, emissions, and/or pollution sources, i.e., unwanted fluid (liquid/gas) flow/escape, at refineries, e.g., oil and gas refineries, and plants, e.g., petrochemical, chemical, pharmac

The present invention relates to detection and alarm systems for predicting and detecting the location of spills, leaks, emissions, and/or pollution sources, i.e., unwanted fluid (liquid/gas) flow/escape, at refineries, e.g., oil and gas refineries, and plants, e.g., petrochemical, chemical, pharmaceutical, and food processing plants, and avoiding said unwanted flow/escape. According to one embodiment, said system comprises at least one detector, at least one battery powered radio frequency transmitter, preferably, according to one embodiment, a 900 megahertz spread spectrum transmitter, and a central processing location which, according to one embodiment is preferably capable of handling up to 3000 points in a single cell site.

대표청구항 ▼

The present invention relates to detection and alarm systems for predicting and detecting the location of spills, leaks, emissions, and/or pollution sources, i.e., unwanted fluid (liquid/gas) flow/escape, at refineries, e.g., oil and gas refineries, and plants, e.g., petrochemical, chemical, pharmac

The present invention relates to detection and alarm systems for predicting and detecting the location of spills, leaks, emissions, and/or pollution sources, i.e., unwanted fluid (liquid/gas) flow/escape, at refineries, e.g., oil and gas refineries, and plants, e.g., petrochemical, chemical, pharmaceutical, and food processing plants, and avoiding said unwanted flow/escape. According to one embodiment, said system comprises at least one detector, at least one battery powered radio frequency transmitter, preferably, according to one embodiment, a 900 megahertz spread spectrum transmitter, and a central processing location which, according to one embodiment is preferably capable of handling up to 3000 points in a single cell site. moving various vehicle complements such as the seat and seatback during the data collection process. 43. The method of claim 35, further comprising the step of: automatically photographically recording at least some of the occupancy states of the seat. 44. The method of claim 35, further comprising the step of: validating proper functioning of the transducers and the data collection process by using a standard occupancy state of the seat and corresponding prerecorded data set, wherein a data set is periodically taken of the standard occupancy state and compared with the prerecorded data set. 45. The method of claim 35, wherein the algorithm created from the first database is a trained pattern recognition algorithm. 46. A method of developing a system for determining the occupancy state of a passenger compartment seat of a vehicle, comprising the steps of: mounting a plurality of ultrasonic transducers in the vehicle; receiving an analog signal from each of the transducers; processing the analog signals from the transducers to form a data set comprising multiple data values from each transducer representative of the occupancy state of the vehicle, said data processing comprising the steps of demodulation, sampling and digitizing of the transducer data to create a data set of digital data; forming a database comprising multiple data sets; and creating at least one trained pattern recognition algorithm from the database capable of producing an output indicative of the occupancy state of the seat upon inputting a new data set representing an occupancy state of the seat. 47. The method of claim 46, further comprising the step of: pre-processing the new data set prior to inputting into the at least one trained pattern recognition algorithm to remove one or more data elements at particular locations in the data set. 48. The method of claim 47, wherein the removed data values are the data values corresponding to the first data obtained during each data collection cycle from the transducers. 49. The method of claim 48, wherein the data values which are removed from the data set correspond to reflections from surfaces which are furthest away from an airbag module. 50. The method of claim 46, further comprising the step of: using a neural n