Gas insulated switchgear monitoring apparatus and method
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.
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 the tank 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;
said controller converts said gas temperature signal into a calibrated gas absolute temperature value in engineering units of absolute temperature;
said controller uses a gas type received from an interface 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 controller repeats said above steps at a selected 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 a first measurement time interval defined by the selected first measurement frequency.
2. The process for operating a gas monitoring apparatus to measure gas in a tank using sensors, controllers, and algorithms of claim 1 further comprising the steps of:
receiving from the interface a beginning time-of-day corresponding multiple times within said first density time sequence separated by 24 hours;
receiving from the interface an ending time-of-day corresponding multiple times within said first density time sequence separated by 24 hours, said ending time-of-day being later than said beginning-time-of day;
receiving from the interface a first number of samples less than or equal to the number of samples in said first density time sequence between said beginning time-of-day and said ending-time of day inclusive;
receiving from the interface a second number of samples less than said first number of samples;
said controller calculates a root-mean-squared value of all first calibrated absolute temperature values from all samples of said first time sequence in a subset of samples starting with the sample most closely aligned in time with said beginning time-of-day and continuing for each subsequent sample until said first number of samples has been processed yielding a first RMS temperature value;
said controller calculates a root-mean-squared value of all calibrated absolute temperature values from all samples of said first time sequence in a subset of samples starting with a next subsequent sample and continuing for each subsequent sample until said first number of samples has been processed yielding a next RMS temperature value;
said controller repeats said previous step until the time of said next subsequent sample reaches or exceeds said ending time-of-day creating a first RMS temperature value sequence of samples comprising an RMS temperature value at said starting times separated by said first measurement time interval;
said controller selects the RMS temperature sample from said first RMS temperature sequence having the least RMS density value and the latest starting time defining a first flattest temperature region time;
said controller identifies a first representative subset of samples of said first time sequence containing said second number of samples from the latest samples of said first number of samples from said first flattest temperature region in time;
said controller calculates a first representative average calibrated absolute temperature value by averaging the calibrated absolute temperature value of each sample of said representative subset;
said controller calculates a first representative average calibrated absolute pressure value by averaging the calibrated absolute pressure values of each sample of said representative subset;
said controller uses said second order virial coefficient, said first representative absolute gas pressure, said first representative absolute gas temperature, a gas constant, and a virial equation to calculate a first representative gas density value, and
said controller repeats said above steps at the rate of a second measurement time interval of developing a second time sequence of samples comprising said representative calibrated absolute gas pressure value, said representative calibrated absolute gas temperature value, and said representative gas density value at each time separated by said second measurement time interval.
3. The process for operating a gas monitoring apparatus to measure gas in a tank using sensors, controllers, and algorithms of claim 2 further comprising the steps of: receiving from the interface a third number of samples;
said controller identifies a subset of the latest samples of said second time sequence of samples containing said third number or less samples;
said controller selects a first function comprising first function parameters and calculates values for said first function parameters such that the value of the average of the squared differences of said first function values generated when said first function is evaluated with said first function parameters at each time of each sample of said second time sequence and the respective said representative gas density value of each respective sample is minimized, and
said controller repeats said above steps at the rate of said second measurement time interval developing a third time sequence of samples comprising said first function parameter values, at each time separated by said second measurement time interval.
4. The process for operating a gas monitoring apparatus to measure gas in a tank using sensors, controllers, and algorithms of claim 3 further comprising the steps of:
receiving from the interface a first density threshold value, and
said controller utilizes said first function with said first function parameter values of the latest sample of said third time sequence to calculate a first threshold attainment time at which said first function value is equal to said first density threshold value.
5. The process for operating a gas monitoring apparatus to measure gas in a tank using sensors, controllers, and algorithms of claim 4 further comprising the steps of:
the controller repeats said previous steps at the rate of said second measurement interval developing a fourth time sequence of samples comprising said first threshold attainment time at each time separated by said second measurement interval.
6. The process for operating a gas monitoring apparatus to measure gas in a tank using sensors, controllers, and algorithms of claim 1 further comprising the steps of:
said controller communicates said calibrated gas pressure value, said calibrated absolute temperature value, and said first gas density value to the interface.
7. The process for operating a gas monitoring apparatus to measure gas in a tank using sensors, controllers, and algorithms of claim 3 further comprising the steps of:
receiving from the interface a first density threshold value, and
said controller utilizes said first function with said first function parameter values of the latest sample of said third time sequence to calculate a long-term instantaneous density estimate at the present time;
said controller compares said first density threshold value to said long-term instantaneous density estimate, and
said controller communicates to said interface the result of the step of the controller comparing said first density threshold value to said long-term instantaneous density estimate.