DUAL SENSOR PROCESS PRESSURE SWITCH HAVING HIGH-DIAGNOSTIC ONE-OUT-OF-TWO VOTING ARCHITECTURE

Patent №

US 6,704,682

Granted

2004-03-09

Filed 2001

Owner

SIS-TECH APPLICATIONS, L.P.

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09901213

A high-diagnostic, dual sensor pressure switch having a one-out-of-two voting architecture useful in commercial and industrial fluid transport systems is provided for determining whether process connections and isolation valves are plugged or closed, and whether pressure sensors are deformed, corroded or otherwise compromised. The dual pressure sensors functionally employ similar electronic technology, and are each disposed to provide variable electrical outputs to one of a plurality of discrete A/D converters. The dual pressure sensors' electrical outputs are compared prior to the A/D conversion process in order to immediately identify large pressure deviations between the sensors. Each of the A/D converters' digital signals are routed to one of a plurality of independent CPUs or data processors; the CPUs then generate digital output signals representing either a logical 0 (Low) or 1 (High). Each of the digital output signals are routed to one of a plurality of independent output circuits, each of which either opens or closes an associated output switch responsive to the CPUs' logically evaluated output signals. Each of the plurality of output switches is connected in series with the output switches of the other output circuit(s), and the output signals are voted across the series in a one-out-of-two architecture to determine whether the device's pressure switch output circuit will either open or remain closed. In addition to routing their respective output signals to the pressure switch output circuits, the CPUs also transmit the output signals to an integrated diagnostics circuit for detection of “failed safe” conditions, and to close any circuit around an output that is determined to be failed safe.

AI classification

Planning1.00
Knowledge representation0.04
AI hardware0.03
Machine learning0.01
Vision0.00
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

SIS-TECH APPLICATIONS, L.P.

assignment · 228780568

© 2026 NYSGPT2525 LLC