| 摘要 |
Mechanical, electronic, algorithmic, and computer network facets are combined to create a highly integrated advanced sensor that monitors the gas density, state-of-repair, and events associated with switchgear. Measurements of gas pressure, atmospheric pressure, gas temperature, are used with models of the non-ideal behavior of a particular gas to realistically estimate gas density. A hierarchical system of signal processing optimizes measurements working within high-frequency, real-time, short-term, medium-term, diurnal, long-term, and historical timeframes and overcomes measurement errors present in real-world applications. The time at which a condition such as gas density will reach a particular level is calculated. Events such as threshold attainments and switchgear operation are detected. A large memory stores all raw data values allowing flexible re-processing and verification at any future time. Instantaneous as well as logged information is communicated in convenient formats over a selected digital network. An embedded web server provides a familiar graphical user interface. |
| 主权项 |
1. A process for operating a gas monitoring apparatus to measure gas in a tank using sensors, controllers, and algorithms comprising the steps of:
a controller acquires a gas pressure signal from a gas pressure sensor connected to said being monitored; said controller converts said gas pressure signal into a calibrated gas pressure value in engineering units of force per unit area; said controller acquires an atmospheric pressure signal from an atmospheric pressure sensor; said controller converts said atmospheric pressure signal into a calibrated atmospheric pressure value of atmospheric pressure in engineering units of force per unit area; said controller sums said calibrated gas pressure value and said calibrated atmospheric pressure value yielding a calibrated absolute gas pressure value; said controller acquires a gas temperature signal from a gas temperature sensor associated with a specific temperature location; said controller converts said gas temperature signal into a calibrated gas absolute temperature value in engineering units of absolute temperature; a user specifies a gas type; said controller uses said gas type to lookup a virial coefficient model equation; said controller uses said virial coefficient model equation and said absolute gas temperature to calculate a second order virial coefficient; said controller uses said second order virial coefficient, said absolute gas pressure, said absolute gas temperature, a gas constant, and a virial equation to calculate a first gas density value; said user specifies a first measurement frequency defining a first measurement time interval, and said controller repeats said above steps at the rate of said first measurement frequency developing a first time sequence of samples comprising said calibrated absolute gas pressure value, said calibrated absolute gas temperature value, and said first gas density value at each time separated by said first measurement time interval. |
